# Advanced Alchemy
Check out the [project documentation][project-docs] ๐ for more information.
## About
A carefully crafted, thoroughly tested, optimized companion library for SQLAlchemy,
offering:
- Sync and async repositories, featuring common CRUD and highly optimized bulk operations
- Integration with major web frameworks including Litestar, Starlette, FastAPI, Sanic
- Custom-built alembic configuration and CLI with optional framework integration
- Utility base classes with audit columns, primary keys and utility functions
- Optimized JSON types including a custom JSON type for Oracle
- Integrated support for UUID6 and UUID7 using [`uuid-utils`](https://github.com/aminalaee/uuid-utils) (install with the `uuid` extra)
- Integrated support for Nano ID using [`fastnanoid`](https://github.com/oliverlambson/fastnanoid) (install with the `nanoid` extra)
- Pre-configured base classes with audit columns UUID or Big Integer primary keys and
a [sentinel column](https://docs.sqlalchemy.org/en/20/core/connections.html#configuring-sentinel-columns).
- Synchronous and asynchronous repositories featuring:
- Common CRUD operations for SQLAlchemy models
- Bulk inserts, updates, upserts, and deletes with dialect-specific enhancements
- Integrated counts, pagination, sorting, filtering with `LIKE`, `IN`, and dates before and/or after.
- Tested support for multiple database backends including:
- SQLite via [aiosqlite](https://aiosqlite.omnilib.dev/en/stable/) or [sqlite](https://docs.python.org/3/library/sqlite3.html)
- Postgres via [asyncpg](https://magicstack.github.io/asyncpg/current/) or [psycopg3 (async or sync)](https://www.psycopg.org/psycopg3/)
- MySQL via [asyncmy](https://github.com/long2ice/asyncmy)
- Oracle via [oracledb (async or sync)](https://oracle.github.io/python-oracledb/) (tested on 18c and 23c)
- Google Spanner via [spanner-sqlalchemy](https://github.com/googleapis/python-spanner-sqlalchemy/)
- DuckDB via [duckdb_engine](https://github.com/Mause/duckdb_engine)
- Microsoft SQL Server via [pyodbc](https://github.com/mkleehammer/pyodbc) or [aioodbc](https://github.com/aio-libs/aioodbc)
- CockroachDB via [sqlalchemy-cockroachdb (async or sync)](https://github.com/cockroachdb/sqlalchemy-cockroachdb)
- ...and much more
## Usage
### Installation
```shell
pip install advanced-alchemy
```
> [!IMPORTANT]\
> Check out [the installation guide][install-guide] in our official documentation!
### Repositories
Advanced Alchemy includes a set of asynchronous and synchronous repository classes for easy CRUD
operations on your SQLAlchemy models.
Click to expand the example
```python
from advanced_alchemy import base, repository, config
from sqlalchemy import create_engine
from sqlalchemy.orm import Mapped, sessionmaker
class User(base.UUIDBase):
# you can optionally override the generated table name by manually setting it.
__tablename__ = "user_account" # type: ignore[assignment]
email: Mapped[str]
name: Mapped[str]
class UserRepository(repository.SQLAlchemySyncRepository[User]):
"""User repository."""
model_type = User
db = config.SQLAlchemySyncConfig(connection_string="duckdb:///:memory:", session_config=config.SyncSessionConfig(expire_on_commit=False))
# Initializes the database.
with db.get_engine().begin() as conn:
User.metadata.create_all(conn)
with db.get_session() as db_session:
repo = UserRepository(session=db_session)
# 1) Create multiple users with `add_many`
bulk_users = [
{"email": 'cody@litestar.dev', 'name': 'Cody'},
{"email": 'janek@litestar.dev', 'name': 'Janek'},
{"email": 'peter@litestar.dev', 'name': 'Peter'},
{"email": 'jacob@litestar.dev', 'name': 'Jacob'}
]
objs = repo.add_many([User(**raw_user) for raw_user in bulk_users])
db_session.commit()
print(f"Created {len(objs)} new objects.")
# 2) Select paginated data and total row count. Pass additional filters as kwargs
created_objs, total_objs = repo.list_and_count(LimitOffset(limit=10, offset=0), name="Cody")
print(f"Selected {len(created_objs)} records out of a total of {total_objs}.")
# 3) Let's remove the batch of records selected.
deleted_objs = repo.delete_many([new_obj.id for new_obj in created_objs])
print(f"Removed {len(deleted_objs)} records out of a total of {total_objs}.")
# 4) Let's count the remaining rows
remaining_count = repo.count()
print(f"Found {remaining_count} remaining records after delete.")
```
For a full standalone example, see the sample [here][standalone-example]
### Services
Advanced Alchemy includes an additional service class to make working with a repository easier.
This class is designed to accept data as a dictionary or SQLAlchemy model,
and it will handle the type conversions for you.
Here's the same example from above but using a service to create the data:
```python
from advanced_alchemy import base, repository, filters, service, config
from sqlalchemy import create_engine
from sqlalchemy.orm import Mapped, sessionmaker
class User(base.UUIDBase):
# you can optionally override the generated table name by manually setting it.
__tablename__ = "user_account" # type: ignore[assignment]
email: Mapped[str]
name: Mapped[str]
class UserService(service.SQLAlchemySyncRepositoryService[User]):
"""User repository."""
class Repo(repository.SQLAlchemySyncRepository[User]):
"""User repository."""
model_type = User
repository_type = Repo
db = config.SQLAlchemySyncConfig(connection_string="duckdb:///:memory:", session_config=config.SyncSessionConfig(expire_on_commit=False))
# Initializes the database.
with db.get_engine().begin() as conn:
User.metadata.create_all(conn)
with db.get_session() as db_session:
service = UserService(session=db_session)
# 1) Create multiple users with `add_many`
objs = service.create_many([
{"email": 'cody@litestar.dev', 'name': 'Cody'},
{"email": 'janek@litestar.dev', 'name': 'Janek'},
{"email": 'peter@litestar.dev', 'name': 'Peter'},
{"email": 'jacob@litestar.dev', 'name': 'Jacob'}
])
print(objs)
print(f"Created {len(objs)} new objects.")
# 2) Select paginated data and total row count. Pass additional filters as kwargs
created_objs, total_objs = service.list_and_count(LimitOffset(limit=10, offset=0), name="Cody")
print(f"Selected {len(created_objs)} records out of a total of {total_objs}.")
# 3) Let's remove the batch of records selected.
deleted_objs = service.delete_many([new_obj.id for new_obj in created_objs])
print(f"Removed {len(deleted_objs)} records out of a total of {total_objs}.")
# 4) Let's count the remaining rows
remaining_count = service.count()
print(f"Found {remaining_count} remaining records after delete.")
```
### Web Frameworks
Advanced Alchemy works with nearly all Python web frameworks.
Several helpers for popular libraries are included, and additional PRs to support others are welcomed.
#### Litestar
Advanced Alchemy is the official SQLAlchemy integration for Litestar.
In addition to installing with `pip install advanced-alchemy`,
it can also be installed as a Litestar extra with `pip install litestar[sqlalchemy]`.
Litestar Example
```python
from litestar import Litestar
from litestar.plugins.sqlalchemy import SQLAlchemyPlugin, SQLAlchemyAsyncConfig
# alternately...
# from advanced_alchemy.extensions.litestar import SQLAlchemyAsyncConfig, SQLAlchemyPlugin
alchemy = SQLAlchemyPlugin(
config=SQLAlchemyAsyncConfig(connection_string="sqlite+aiosqlite:///test.sqlite"),
)
app = Litestar(plugins=[alchemy])
```
For a full Litestar example, check [here][litestar-example]
#### Flask
Flask Example
```python
from flask import Flask
from advanced_alchemy.extensions.flask import AdvancedAlchemy, SQLAlchemySyncConfig
app = Flask(__name__)
alchemy = AdvancedAlchemy(
config=SQLAlchemySyncConfig(connection_string="duckdb:///:memory:"), app=app,
)
```
For a full Flask example, see [here][flask-example]
#### FastAPI
FastAPI Example
```python
from advanced_alchemy.extensions.fastapi import AdvancedAlchemy, SQLAlchemyAsyncConfig
from fastapi import FastAPI
app = FastAPI()
alchemy = AdvancedAlchemy(
config=SQLAlchemyAsyncConfig(connection_string="sqlite+aiosqlite:///test.sqlite"), app=app,
)
```
For a full FastAPI example with optional CLI integration, see [here][fastapi-example]
#### Starlette
Pre-built Example Apps
```python
from advanced_alchemy.extensions.starlette import AdvancedAlchemy, SQLAlchemyAsyncConfig
from starlette.applications import Starlette
app = Starlette()
alchemy = AdvancedAlchemy(
config=SQLAlchemyAsyncConfig(connection_string="sqlite+aiosqlite:///test.sqlite"), app=app,
)
```
#### Sanic
Pre-built Example Apps
```python
from sanic import Sanic
from sanic_ext import Extend
from advanced_alchemy.extensions.sanic import AdvancedAlchemy, SQLAlchemyAsyncConfig
app = Sanic("AlchemySanicApp")
alchemy = AdvancedAlchemy(
sqlalchemy_config=SQLAlchemyAsyncConfig(connection_string="sqlite+aiosqlite:///test.sqlite"),
)
Extend.register(alchemy)
```
## Contributing
All [Litestar Organization][litestar-org] projects will always be a community-centered, available for contributions of any size.
Before contributing, please review the [contribution guide][contributing].
If you have any questions, reach out to us on [Discord][discord], our org-wide [GitHub discussions][litestar-discussions] page,
or the [project-specific GitHub discussions page][project-discussions].
[litestar-org]: https://github.com/litestar-org
[contributing]: https://docs.advanced-alchemy.litestar.dev/latest/contribution-guide.html
[discord]: https://discord.gg/litestar
[litestar-discussions]: https://github.com/orgs/litestar-org/discussions
[project-discussions]: https://github.com/litestar-org/advanced-alchemy/discussions
[project-docs]: https://docs.advanced-alchemy.litestar.dev
[install-guide]: https://docs.advanced-alchemy.litestar.dev/latest/#installation
[fastapi-example]: https://github.com/litestar-org/advanced-alchemy/blob/main/examples/fastapi_service.py
[flask-example]: https://github.com/litestar-org/advanced-alchemy/blob/main/examples/flask/flask_services.py
[litestar-example]: https://github.com/litestar-org/advanced-alchemy/blob/main/examples/litestar.py
[standalone-example]: https://github.com/litestar-org/advanced-alchemy/blob/main/examples/standalone.py
python-advanced-alchemy-0.34.0/advanced_alchemy/ 0000775 0000000 0000000 00000000000 14763441450 0021561 5 ustar 00root root 0000000 0000000 python-advanced-alchemy-0.34.0/advanced_alchemy/__init__.py 0000664 0000000 0000000 00000000570 14763441450 0023674 0 ustar 00root root 0000000 0000000 from advanced_alchemy import (
alembic,
base,
cli,
config,
exceptions,
extensions,
filters,
mixins,
operations,
service,
types,
utils,
)
__all__ = (
"alembic",
"base",
"cli",
"config",
"exceptions",
"extensions",
"filters",
"mixins",
"operations",
"service",
"types",
"utils",
)
python-advanced-alchemy-0.34.0/advanced_alchemy/__main__.py 0000664 0000000 0000000 00000000366 14763441450 0023660 0 ustar 00root root 0000000 0000000 from advanced_alchemy.cli import add_migration_commands as build_cli_interface
def run_cli() -> None: # pragma: no cover
"""Advanced Alchemy CLI"""
build_cli_interface()()
if __name__ == "__main__": # pragma: no cover
run_cli()
python-advanced-alchemy-0.34.0/advanced_alchemy/__metadata__.py 0000664 0000000 0000000 00000001067 14763441450 0024513 0 ustar 00root root 0000000 0000000 """Metadata for the Project."""
from importlib.metadata import PackageNotFoundError, metadata, version # pragma: no cover
__all__ = ("__project__", "__version__") # pragma: no cover
try: # pragma: no cover
__version__ = version("advanced_alchemy")
"""Version of the project."""
__project__ = metadata("advanced_alchemy")["Name"]
"""Name of the project."""
except PackageNotFoundError: # pragma: no cover
__version__ = "0.0.1"
__project__ = "Advanced Alchemy"
finally: # pragma: no cover
del version, PackageNotFoundError, metadata
python-advanced-alchemy-0.34.0/advanced_alchemy/_listeners.py 0000664 0000000 0000000 00000001314 14763441450 0024301 0 ustar 00root root 0000000 0000000 """Application ORM configuration."""
import datetime
from typing import TYPE_CHECKING, Any
if TYPE_CHECKING:
from sqlalchemy.orm import Session
def touch_updated_timestamp(session: "Session", *_: Any) -> None:
"""Set timestamp on update.
Called from SQLAlchemy's
:meth:`before_flush ` event to bump the ``updated``
timestamp on modified instances.
Args:
session: The sync :class:`Session ` instance that underlies the async
session.
"""
for instance in session.dirty:
if hasattr(instance, "updated_at"):
instance.updated_at = datetime.datetime.now(datetime.timezone.utc)
python-advanced-alchemy-0.34.0/advanced_alchemy/_serialization.py 0000664 0000000 0000000 00000005014 14763441450 0025147 0 ustar 00root root 0000000 0000000 import datetime
import enum
from typing import Any
from typing_extensions import runtime_checkable
try:
from pydantic import BaseModel # type: ignore # noqa: PGH003
PYDANTIC_INSTALLED = True
except ImportError:
from typing import ClassVar, Protocol
@runtime_checkable
class BaseModel(Protocol): # type: ignore[no-redef]
"""Placeholder Implementation"""
model_fields: ClassVar[dict[str, Any]]
def model_dump_json(self, *args: Any, **kwargs: Any) -> str:
"""Placeholder"""
return ""
PYDANTIC_INSTALLED = False # pyright: ignore[reportConstantRedefinition]
def _type_to_string(value: Any) -> str: # pragma: no cover
if isinstance(value, datetime.datetime):
return convert_datetime_to_gmt_iso(value)
if isinstance(value, datetime.date):
return convert_date_to_iso(value)
if isinstance(value, enum.Enum):
return str(value.value)
if PYDANTIC_INSTALLED and isinstance(value, BaseModel):
return value.model_dump_json()
try:
val = str(value)
except Exception as exc:
raise TypeError from exc
return val
try:
from msgspec.json import Decoder, Encoder
encoder, decoder = Encoder(enc_hook=_type_to_string), Decoder()
decode_json = decoder.decode
def encode_json(data: Any) -> str: # pragma: no cover
return encoder.encode(data).decode("utf-8")
except ImportError:
try:
from orjson import OPT_NAIVE_UTC, OPT_SERIALIZE_NUMPY, OPT_SERIALIZE_UUID
from orjson import dumps as _encode_json
from orjson import loads as decode_json # type: ignore[no-redef,assignment]
def encode_json(data: Any) -> str: # pragma: no cover
return _encode_json(
data, default=_type_to_string, option=OPT_SERIALIZE_NUMPY | OPT_NAIVE_UTC | OPT_SERIALIZE_UUID
).decode("utf-8") # type: ignore[no-any-return]
except ImportError:
from json import dumps as encode_json # type: ignore[assignment] # noqa: F401
from json import loads as decode_json # type: ignore[assignment] # noqa: F401
def convert_datetime_to_gmt_iso(dt: datetime.datetime) -> str: # pragma: no cover
"""Handle datetime serialization for nested timestamps."""
if not dt.tzinfo:
dt = dt.replace(tzinfo=datetime.timezone.utc)
return dt.isoformat().replace("+00:00", "Z")
def convert_date_to_iso(dt: datetime.date) -> str: # pragma: no cover
"""Handle datetime serialization for nested timestamps."""
return dt.isoformat()
python-advanced-alchemy-0.34.0/advanced_alchemy/alembic/ 0000775 0000000 0000000 00000000000 14763441450 0023155 5 ustar 00root root 0000000 0000000 python-advanced-alchemy-0.34.0/advanced_alchemy/alembic/__init__.py 0000664 0000000 0000000 00000000000 14763441450 0025254 0 ustar 00root root 0000000 0000000 python-advanced-alchemy-0.34.0/advanced_alchemy/alembic/commands.py 0000664 0000000 0000000 00000032323 14763441450 0025333 0 ustar 00root root 0000000 0000000 import sys
from typing import TYPE_CHECKING, Any, Optional, TextIO, Union
from advanced_alchemy.config.asyncio import SQLAlchemyAsyncConfig
from alembic import command as migration_command
from alembic.config import Config as _AlembicCommandConfig
from alembic.ddl.impl import DefaultImpl
if TYPE_CHECKING:
import os
from argparse import Namespace
from collections.abc import Mapping
from pathlib import Path
from sqlalchemy import Engine
from sqlalchemy.ext.asyncio import AsyncEngine
from advanced_alchemy.config.sync import SQLAlchemySyncConfig
from alembic.runtime.environment import ProcessRevisionDirectiveFn
from alembic.script.base import Script
class AlembicSpannerImpl(DefaultImpl):
"""Alembic implementation for Spanner."""
__dialect__ = "spanner+spanner"
class AlembicDuckDBImpl(DefaultImpl):
"""Alembic implementation for DuckDB."""
__dialect__ = "duckdb"
class AlembicCommandConfig(_AlembicCommandConfig):
def __init__(
self,
engine: "Union[Engine, AsyncEngine]",
version_table_name: str,
bind_key: "Optional[str]" = None,
file_: "Union[str, os.PathLike[str], None]" = None,
ini_section: str = "alembic",
output_buffer: "Optional[TextIO]" = None,
stdout: "TextIO" = sys.stdout,
cmd_opts: "Optional[Namespace]" = None,
config_args: "Optional[Mapping[str, Any]]" = None,
attributes: "Optional[dict[str, Any]]" = None,
template_directory: "Optional[Path]" = None,
version_table_schema: "Optional[str]" = None,
render_as_batch: bool = True,
compare_type: bool = False,
user_module_prefix: "Optional[str]" = "sa.",
) -> None:
"""Initialize the AlembicCommandConfig.
Args:
engine (sqlalchemy.engine.Engine | sqlalchemy.ext.asyncio.AsyncEngine): The SQLAlchemy engine instance.
version_table_name (str): The name of the version table.
bind_key (str | None): The bind key for the metadata.
file_ (str | os.PathLike[str] | None): The file path for the alembic configuration.
ini_section (str): The ini section name.
output_buffer (typing.TextIO | None): The output buffer for alembic commands.
stdout (typing.TextIO): The standard output stream.
cmd_opts (argparse.Namespace | None): Command line options.
config_args (typing.Mapping[str, typing.Any] | None): Additional configuration arguments.
attributes (dict[str, typing.Any] | None): Additional attributes for the configuration.
template_directory (pathlib.Path | None): The directory for alembic templates.
version_table_schema (str | None): The schema for the version table.
render_as_batch (bool): Whether to render migrations as batch.
compare_type (bool): Whether to compare types during migrations.
user_module_prefix (str | None): The prefix for user modules.
"""
self.template_directory = template_directory
self.bind_key = bind_key
self.version_table_name = version_table_name
self.version_table_pk = engine.dialect.name != "spanner+spanner"
self.version_table_schema = version_table_schema
self.render_as_batch = render_as_batch
self.user_module_prefix = user_module_prefix
self.compare_type = compare_type
self.engine = engine
self.db_url = engine.url.render_as_string(hide_password=False)
if config_args is None:
config_args = {}
super().__init__(file_, ini_section, output_buffer, stdout, cmd_opts, config_args, attributes)
def get_template_directory(self) -> str:
"""Return the directory where Alembic setup templates are found.
This method is used by the alembic ``init`` and ``list_templates``
commands.
"""
if self.template_directory is not None:
return str(self.template_directory)
return super().get_template_directory()
class AlembicCommands:
def __init__(self, sqlalchemy_config: "Union[SQLAlchemyAsyncConfig, SQLAlchemySyncConfig]") -> None:
"""Initialize the AlembicCommands.
Args:
sqlalchemy_config (SQLAlchemyAsyncConfig | SQLAlchemySyncConfig): The SQLAlchemy configuration.
"""
self.sqlalchemy_config = sqlalchemy_config
self.config = self._get_alembic_command_config()
def upgrade(
self,
revision: str = "head",
sql: bool = False,
tag: "Optional[str]" = None,
) -> None:
"""Upgrade the database to a specified revision.
Args:
revision (str): The target revision to upgrade to.
sql (bool): If True, generate SQL script instead of applying changes.
tag (str | None): An optional tag to apply to the migration.
"""
return migration_command.upgrade(config=self.config, revision=revision, tag=tag, sql=sql)
def downgrade(
self,
revision: str = "head",
sql: bool = False,
tag: "Optional[str]" = None,
) -> None:
"""Downgrade the database to a specified revision.
Args:
revision (str): The target revision to downgrade to.
sql (bool): If True, generate SQL script instead of applying changes.
tag (str | None): An optional tag to apply to the migration.
"""
return migration_command.downgrade(config=self.config, revision=revision, tag=tag, sql=sql)
def check(self) -> None:
"""Check for pending upgrade operations.
This method checks if there are any pending upgrade operations
that need to be applied to the database.
"""
return migration_command.check(config=self.config)
def current(self, verbose: bool = False) -> None:
"""Display the current revision of the database.
Args:
verbose (bool): If True, display detailed information.
"""
return migration_command.current(self.config, verbose=verbose)
def edit(self, revision: str) -> None:
"""Edit the revision script using the system editor.
Args:
revision (str): The revision identifier to edit.
"""
return migration_command.edit(config=self.config, rev=revision)
def ensure_version(self, sql: bool = False) -> None:
"""Ensure the alembic version table exists.
Args:
sql (bool): If True, generate SQL script instead of applying changes.
"""
return migration_command.ensure_version(config=self.config, sql=sql)
def heads(self, verbose: bool = False, resolve_dependencies: bool = False) -> None:
"""Show current available heads in the script directory.
Args:
verbose (bool): If True, display detailed information.
resolve_dependencies (bool): If True, resolve dependencies between heads.
"""
return migration_command.heads(config=self.config, verbose=verbose, resolve_dependencies=resolve_dependencies)
def history(
self,
rev_range: "Optional[str]" = None,
verbose: bool = False,
indicate_current: bool = False,
) -> None:
"""List changeset scripts in chronological order.
Args:
rev_range (str | None): The revision range to display.
verbose (bool): If True, display detailed information.
indicate_current (bool): If True, indicate the current revision.
"""
return migration_command.history(
config=self.config,
rev_range=rev_range,
verbose=verbose,
indicate_current=indicate_current,
)
def merge(
self,
revisions: str,
message: "Optional[str]" = None,
branch_label: "Optional[str]" = None,
rev_id: "Optional[str]" = None,
) -> "Union[Script, None]":
"""Merge two revisions together.
Args:
revisions (str): The revisions to merge.
message (str | None): The commit message for the merge.
branch_label (str | None): The branch label for the merge.
rev_id (str | None): The revision ID for the merge.
Returns:
Script | None: The resulting script from the merge.
"""
return migration_command.merge(
config=self.config,
revisions=revisions,
message=message,
branch_label=branch_label,
rev_id=rev_id,
)
def revision(
self,
message: "Optional[str]" = None,
autogenerate: bool = False,
sql: bool = False,
head: str = "head",
splice: bool = False,
branch_label: "Optional[str]" = None,
version_path: "Optional[str]" = None,
rev_id: "Optional[str]" = None,
depends_on: "Optional[str]" = None,
process_revision_directives: "Optional[ProcessRevisionDirectiveFn]" = None,
) -> "Union[Script, list[Optional[Script]], None]":
"""Create a new revision file.
Args:
message (str | None): The commit message for the revision.
autogenerate (bool): If True, autogenerate the revision script.
sql (bool): If True, generate SQL script instead of applying changes.
head (str): The head revision to base the new revision on.
splice (bool): If True, create a splice revision.
branch_label (str | None): The branch label for the revision.
version_path (str | None): The path for the version file.
rev_id (str | None): The revision ID for the new revision.
depends_on (str | None): The revisions this revision depends on.
process_revision_directives (ProcessRevisionDirectiveFn | None): A function to process revision directives.
Returns:
Script | List[Script | None] | None: The resulting script(s) from the revision.
"""
return migration_command.revision(
config=self.config,
message=message,
autogenerate=autogenerate,
sql=sql,
head=head,
splice=splice,
branch_label=branch_label,
version_path=version_path,
rev_id=rev_id,
depends_on=depends_on,
process_revision_directives=process_revision_directives,
)
def show(
self,
rev: Any,
) -> None:
"""Show the revision(s) denoted by the given symbol.
Args:
rev (Any): The revision symbol to display.
"""
return migration_command.show(config=self.config, rev=rev)
def init(
self,
directory: str,
package: bool = False,
multidb: bool = False,
) -> None:
"""Initialize a new scripts directory.
Args:
directory (str): The directory to initialize.
package (bool): If True, create a package.
multidb (bool): If True, initialize for multiple databases.
"""
template = "sync"
if isinstance(self.sqlalchemy_config, SQLAlchemyAsyncConfig):
template = "asyncio"
if multidb:
template = f"{template}-multidb"
msg = "Multi database Alembic configurations are not currently supported."
raise NotImplementedError(msg)
return migration_command.init(
config=self.config,
directory=directory,
template=template,
package=package,
)
def list_templates(self) -> None:
"""List available templates.
This method lists all available templates for alembic initialization.
"""
return migration_command.list_templates(config=self.config)
def stamp(
self,
revision: str,
sql: bool = False,
tag: "Optional[str]" = None,
purge: bool = False,
) -> None:
"""Stamp the revision table with the given revision.
Args:
revision (str): The revision to stamp.
sql (bool): If True, generate SQL script instead of applying changes.
tag (str | None): An optional tag to apply to the migration.
purge (bool): If True, purge the revision history.
"""
return migration_command.stamp(config=self.config, revision=revision, sql=sql, tag=tag, purge=purge)
def _get_alembic_command_config(self) -> "AlembicCommandConfig":
"""Get the Alembic command configuration.
Returns:
AlembicCommandConfig: The configuration for Alembic commands.
"""
kwargs: dict[str, Any] = {}
if self.sqlalchemy_config.alembic_config.script_config:
kwargs["file_"] = self.sqlalchemy_config.alembic_config.script_config
if self.sqlalchemy_config.alembic_config.template_path:
kwargs["template_directory"] = self.sqlalchemy_config.alembic_config.template_path
kwargs.update(
{
"engine": self.sqlalchemy_config.get_engine(),
"version_table_name": self.sqlalchemy_config.alembic_config.version_table_name,
},
)
self.config = AlembicCommandConfig(**kwargs)
self.config.set_main_option("script_location", self.sqlalchemy_config.alembic_config.script_location)
return self.config
python-advanced-alchemy-0.34.0/advanced_alchemy/alembic/templates/ 0000775 0000000 0000000 00000000000 14763441450 0025153 5 ustar 00root root 0000000 0000000 python-advanced-alchemy-0.34.0/advanced_alchemy/alembic/templates/__init__.py 0000664 0000000 0000000 00000000000 14763441450 0027252 0 ustar 00root root 0000000 0000000 python-advanced-alchemy-0.34.0/advanced_alchemy/alembic/templates/asyncio/ 0000775 0000000 0000000 00000000000 14763441450 0026620 5 ustar 00root root 0000000 0000000 python-advanced-alchemy-0.34.0/advanced_alchemy/alembic/templates/asyncio/__init__.py 0000664 0000000 0000000 00000000000 14763441450 0030717 0 ustar 00root root 0000000 0000000 python-advanced-alchemy-0.34.0/advanced_alchemy/alembic/templates/asyncio/alembic.ini.mako 0000664 0000000 0000000 00000005001 14763441450 0031637 0 ustar 00root root 0000000 0000000 # Advanced Alchemy Alembic Asyncio Config
[alembic]
prepend_sys_path = src:.
# path to migration scripts
script_location = migrations
# template used to generate migration files
file_template = %%(year)d-%%(month).2d-%%(day).2d_%%(slug)s_%%(rev)s
# This is not required to be set when running through `advanced_alchemy`
# sqlalchemy.url = driver://user:pass@localhost/dbname
# timezone to use when rendering the date
# within the migration file as well as the filename.
# string value is passed to dateutil.tz.gettz()
# leave blank for localtime
# timezone = UTC
# max length of characters to apply to the
# "slug" field
truncate_slug_length = 40
# set to 'true' to run the environment during
# the 'revision' command, regardless of autogenerate
# revision_environment = false
# set to 'true' to allow .pyc and .pyo files without
# a source .py file to be detected as revisions in the
# versions/ directory
# sourceless = false
# version location specification; this defaults
# to alembic/versions. When using multiple version
# directories, initial revisions must be specified with --version-path
# version_locations = %(here)s/bar %(here)s/bat alembic/versions
# version path separator; As mentioned above, this is the character used to split
# version_locations. The default within new alembic.ini files is "os", which uses os.pathsep.
# If this key is omitted entirely, it falls back to the legacy behavior of splitting on spaces and/or commas.
# Valid values for version_path_separator are:
#
# version_path_separator = :
# version_path_separator = ;
# version_path_separator = space
version_path_separator = os # Use os.pathsep. Default configuration used for new projects.
# set to 'true' to search source files recursively
# in each "version_locations" directory
# new in Alembic version 1.10
# recursive_version_locations = false
# the output encoding used when revision files
# are written from script.py.mako
output_encoding = utf-8
# [post_write_hooks]
# This section defines scripts or Python functions that are run
# on newly generated revision scripts. See the documentation for further
# detail and examples
# format using "black" - use the console_scripts runner,
# against the "black" entrypoint
# hooks = black
# black.type = console_scripts
# black.entrypoint = black
# black.options = -l 79 REVISION_SCRIPT_FILENAME
# lint with attempts to fix using "ruff" - use the exec runner, execute a binary
# hooks = ruff
# ruff.type = exec
# ruff.executable = %(here)s/.venv/bin/ruff
# ruff.options = --fix REVISION_SCRIPT_FILENAME
python-advanced-alchemy-0.34.0/advanced_alchemy/alembic/templates/asyncio/env.py 0000664 0000000 0000000 00000010752 14763441450 0027767 0 ustar 00root root 0000000 0000000 import asyncio
from typing import TYPE_CHECKING, cast
from sqlalchemy import Column, pool
from sqlalchemy.ext.asyncio import AsyncEngine, async_engine_from_config
from advanced_alchemy.base import metadata_registry
from alembic import context
from alembic.autogenerate import rewriter
from alembic.operations import ops
if TYPE_CHECKING:
from sqlalchemy.engine import Connection
from advanced_alchemy.alembic.commands import AlembicCommandConfig
from alembic.runtime.environment import EnvironmentContext
__all__ = ("do_run_migrations", "run_migrations_offline", "run_migrations_online")
# this is the Alembic Config object, which provides
# access to the values within the .ini file in use.
config: "AlembicCommandConfig" = context.config # type: ignore # noqa: PGH003
writer = rewriter.Rewriter()
@writer.rewrites(ops.CreateTableOp)
def order_columns(
context: "EnvironmentContext", # noqa: ARG001
revision: tuple[str, ...], # noqa: ARG001
op: ops.CreateTableOp,
) -> ops.CreateTableOp:
"""Orders ID first and the audit columns at the end."""
special_names = {"id": -100, "sa_orm_sentinel": 3001, "created_at": 3002, "updated_at": 3003}
cols_by_key = [ # pyright: ignore[reportUnknownVariableType]
(
special_names.get(col.key, index) if isinstance(col, Column) else 2000,
col.copy(), # type: ignore[attr-defined]
)
for index, col in enumerate(op.columns)
]
columns = [col for _, col in sorted(cols_by_key, key=lambda entry: entry[0])] # pyright: ignore[reportUnknownVariableType,reportUnknownArgumentType,reportUnknownLambdaType]
return ops.CreateTableOp(
op.table_name,
columns, # pyright: ignore[reportUnknownArgumentType]
schema=op.schema,
# TODO: Remove when https://github.com/sqlalchemy/alembic/issues/1193 is fixed # noqa: FIX002
_namespace_metadata=op._namespace_metadata, # noqa: SLF001 # pyright: ignore[reportPrivateUsage]
**op.kw,
)
def run_migrations_offline() -> None:
"""Run migrations in 'offline' mode.
This configures the context with just a URL
and not an Engine, though an Engine is acceptable
here as well. By skipping the Engine creation
we don't even need a DBAPI to be available.
Calls to context.execute() here emit the given string to the
script output.
"""
context.configure(
url=config.db_url,
target_metadata=metadata_registry.get(config.bind_key),
literal_binds=True,
dialect_opts={"paramstyle": "named"},
compare_type=config.compare_type,
version_table=config.version_table_name,
version_table_pk=config.version_table_pk,
user_module_prefix=config.user_module_prefix,
render_as_batch=config.render_as_batch,
process_revision_directives=writer,
)
with context.begin_transaction():
context.run_migrations()
def do_run_migrations(connection: "Connection") -> None:
"""Run migrations."""
context.configure(
connection=connection,
target_metadata=metadata_registry.get(config.bind_key),
compare_type=config.compare_type,
version_table=config.version_table_name,
version_table_pk=config.version_table_pk,
user_module_prefix=config.user_module_prefix,
render_as_batch=config.render_as_batch,
process_revision_directives=writer,
)
with context.begin_transaction():
context.run_migrations()
async def run_migrations_online() -> None:
"""Run migrations in 'online' mode.
In this scenario we need to create an Engine and associate a
connection with the context.
"""
configuration = config.get_section(config.config_ini_section) or {}
configuration["sqlalchemy.url"] = config.db_url
connectable = cast(
"AsyncEngine",
config.engine
or async_engine_from_config(
configuration,
prefix="sqlalchemy.",
poolclass=pool.NullPool,
future=True,
),
)
if connectable is None: # pyright: ignore[reportUnnecessaryComparison]
msg = "Could not get engine from config. Please ensure your `alembic.ini` according to the official Alembic documentation."
raise RuntimeError(
msg,
)
async with connectable.connect() as connection:
await connection.run_sync(do_run_migrations)
await connectable.dispose()
if context.is_offline_mode():
run_migrations_offline()
else:
asyncio.run(run_migrations_online())
python-advanced-alchemy-0.34.0/advanced_alchemy/alembic/templates/asyncio/script.py.mako 0000664 0000000 0000000 00000003364 14763441450 0031432 0 ustar 00root root 0000000 0000000 # type: ignore
"""${message}
Revision ID: ${up_revision}
Revises: ${down_revision | comma,n}
Create Date: ${create_date}
"""
import warnings
from typing import TYPE_CHECKING
import sqlalchemy as sa
from alembic import op
from advanced_alchemy.types import EncryptedString, EncryptedText, GUID, ORA_JSONB, DateTimeUTC
from sqlalchemy import Text # noqa: F401
${imports if imports else ""}
if TYPE_CHECKING:
from collections.abc import Sequence
__all__ = ["downgrade", "upgrade", "schema_upgrades", "schema_downgrades", "data_upgrades", "data_downgrades"]
sa.GUID = GUID
sa.DateTimeUTC = DateTimeUTC
sa.ORA_JSONB = ORA_JSONB
sa.EncryptedString = EncryptedString
sa.EncryptedText = EncryptedText
# revision identifiers, used by Alembic.
revision = ${repr(up_revision)}
down_revision = ${repr(down_revision)}
branch_labels = ${repr(branch_labels)}
depends_on = ${repr(depends_on)}
def upgrade() -> None:
with warnings.catch_warnings():
warnings.filterwarnings("ignore", category=UserWarning)
with op.get_context().autocommit_block():
schema_upgrades()
data_upgrades()
def downgrade() -> None:
with warnings.catch_warnings():
warnings.filterwarnings("ignore", category=UserWarning)
with op.get_context().autocommit_block():
data_downgrades()
schema_downgrades()
def schema_upgrades() -> None:
"""schema upgrade migrations go here."""
${upgrades if upgrades else "pass"}
def schema_downgrades() -> None:
"""schema downgrade migrations go here."""
${downgrades if downgrades else "pass"}
def data_upgrades() -> None:
"""Add any optional data upgrade migrations here!"""
def data_downgrades() -> None:
"""Add any optional data downgrade migrations here!"""
python-advanced-alchemy-0.34.0/advanced_alchemy/alembic/templates/sync/ 0000775 0000000 0000000 00000000000 14763441450 0026127 5 ustar 00root root 0000000 0000000 python-advanced-alchemy-0.34.0/advanced_alchemy/alembic/templates/sync/__init__.py 0000664 0000000 0000000 00000000000 14763441450 0030226 0 ustar 00root root 0000000 0000000 python-advanced-alchemy-0.34.0/advanced_alchemy/alembic/templates/sync/alembic.ini.mako 0000664 0000000 0000000 00000005002 14763441450 0031147 0 ustar 00root root 0000000 0000000 # Advanced Alchemy Alembic Sync Config
[alembic]
prepend_sys_path = src:.
# path to migration scripts
script_location = migrations
# template used to generate migration files
file_template = %%(year)d-%%(month).2d-%%(day).2d_%%(slug)s_%%(rev)s
# This is not required to be set when running through the `advanced_alchemy`
# sqlalchemy.url = driver://user:pass@localhost/dbname
# timezone to use when rendering the date
# within the migration file as well as the filename.
# string value is passed to dateutil.tz.gettz()
# leave blank for localtime
# timezone = UTC
# max length of characters to apply to the
# "slug" field
truncate_slug_length = 40
# set to 'true' to run the environment during
# the 'revision' command, regardless of autogenerate
# revision_environment = false
# set to 'true' to allow .pyc and .pyo files without
# a source .py file to be detected as revisions in the
# versions/ directory
# sourceless = false
# version location specification; this defaults
# to alembic/versions. When using multiple version
# directories, initial revisions must be specified with --version-path
# version_locations = %(here)s/bar %(here)s/bat alembic/versions
# version path separator; As mentioned above, this is the character used to split
# version_locations. The default within new alembic.ini files is "os", which uses os.pathsep.
# If this key is omitted entirely, it falls back to the legacy behavior of splitting on spaces and/or commas.
# Valid values for version_path_separator are:
#
# version_path_separator = :
# version_path_separator = ;
# version_path_separator = space
version_path_separator = os # Use os.pathsep. Default configuration used for new projects.
# set to 'true' to search source files recursively
# in each "version_locations" directory
# new in Alembic version 1.10
# recursive_version_locations = false
# the output encoding used when revision files
# are written from script.py.mako
output_encoding = utf-8
# [post_write_hooks]
# This section defines scripts or Python functions that are run
# on newly generated revision scripts. See the documentation for further
# detail and examples
# format using "black" - use the console_scripts runner,
# against the "black" entrypoint
# hooks = black
# black.type = console_scripts
# black.entrypoint = black
# black.options = -l 79 REVISION_SCRIPT_FILENAME
# lint with attempts to fix using "ruff" - use the exec runner, execute a binary
# hooks = ruff
# ruff.type = exec
# ruff.executable = %(here)s/.venv/bin/ruff
# ruff.options = --fix REVISION_SCRIPT_FILENAME
python-advanced-alchemy-0.34.0/advanced_alchemy/alembic/templates/sync/env.py 0000664 0000000 0000000 00000010615 14763441450 0027274 0 ustar 00root root 0000000 0000000 from typing import TYPE_CHECKING, cast
from sqlalchemy import Column, Engine, engine_from_config, pool
from advanced_alchemy.base import metadata_registry
from alembic import context
from alembic.autogenerate import rewriter
from alembic.operations import ops
if TYPE_CHECKING:
from sqlalchemy.engine import Connection
from advanced_alchemy.alembic.commands import AlembicCommandConfig
from alembic.runtime.environment import EnvironmentContext
__all__ = ["do_run_migrations", "run_migrations_offline", "run_migrations_online"]
# this is the Alembic Config object, which provides
# access to the values within the .ini file in use.
config: "AlembicCommandConfig" = context.config # type: ignore # noqa: PGH003
writer = rewriter.Rewriter()
@writer.rewrites(ops.CreateTableOp)
def order_columns(
context: "EnvironmentContext", # noqa: ARG001
revision: tuple[str, ...], # noqa: ARG001
op: ops.CreateTableOp,
) -> ops.CreateTableOp:
"""Orders ID first and the audit columns at the end."""
special_names = {"id": -100, "sa_orm_sentinel": 3001, "created_at": 3002, "updated_at": 3003}
cols_by_key = [ # pyright: ignore[reportUnknownVariableType]
(
special_names.get(col.key, index) if isinstance(col, Column) else 2000,
col.copy(), # type: ignore[attr-defined]
)
for index, col in enumerate(op.columns)
]
columns = [col for _, col in sorted(cols_by_key, key=lambda entry: entry[0])] # pyright: ignore[reportUnknownVariableType,reportUnknownArgumentType,reportUnknownLambdaType]
return ops.CreateTableOp(
op.table_name,
columns, # pyright: ignore[reportUnknownArgumentType]
schema=op.schema,
# TODO: Remove when https://github.com/sqlalchemy/alembic/issues/1193 is fixed # noqa: FIX002
_namespace_metadata=op._namespace_metadata, # noqa: SLF001 # noqa: SLF001 # pyright: ignore[reportPrivateUsage]
**op.kw,
)
def run_migrations_offline() -> None:
"""Run migrations in 'offline' mode.
This configures the context with just a URL
and not an Engine, though an Engine is acceptable
here as well. By skipping the Engine creation
we don't even need a DBAPI to be available.
Calls to context.execute() here emit the given string to the
script output.
"""
context.configure(
url=config.db_url,
target_metadata=metadata_registry.get(config.bind_key),
literal_binds=True,
dialect_opts={"paramstyle": "named"},
compare_type=config.compare_type,
version_table=config.version_table_name,
version_table_pk=config.version_table_pk,
user_module_prefix=config.user_module_prefix,
render_as_batch=config.render_as_batch,
process_revision_directives=writer,
)
with context.begin_transaction():
context.run_migrations()
def do_run_migrations(connection: "Connection") -> None:
"""Run migrations."""
context.configure(
connection=connection,
target_metadata=metadata_registry.get(config.bind_key),
compare_type=config.compare_type,
version_table=config.version_table_name,
version_table_pk=config.version_table_pk,
user_module_prefix=config.user_module_prefix,
render_as_batch=config.render_as_batch,
process_revision_directives=writer,
)
with context.begin_transaction():
context.run_migrations()
def run_migrations_online() -> None:
"""Run migrations in 'online' mode.
In this scenario we need to create an Engine and associate a
connection with the context.
"""
configuration = config.get_section(config.config_ini_section) or {}
configuration["sqlalchemy.url"] = config.db_url
connectable = cast(
"Engine",
config.engine
or engine_from_config(
configuration,
prefix="sqlalchemy.",
poolclass=pool.NullPool,
future=True,
),
)
if connectable is None: # pyright: ignore[reportUnnecessaryComparison]
msg = "Could not get engine from config. Please ensure your `alembic.ini` according to the official Alembic documentation."
raise RuntimeError(
msg,
)
with connectable.connect() as connection:
do_run_migrations(connection=connection)
connectable.dispose()
if context.is_offline_mode():
run_migrations_offline()
else:
run_migrations_online()
python-advanced-alchemy-0.34.0/advanced_alchemy/alembic/templates/sync/script.py.mako 0000664 0000000 0000000 00000003477 14763441450 0030746 0 ustar 00root root 0000000 0000000 # type: ignore
"""${message}
Revision ID: ${up_revision}
Revises: ${down_revision | comma,n}
Create Date: ${create_date}
"""
import warnings
from typing import TYPE_CHECKING
import sqlalchemy as sa
from alembic import op
from advanced_alchemy.types import EncryptedString, EncryptedText, GUID, ORA_JSONB, DateTimeUTC
from sqlalchemy import Text # noqa: F401
${imports if imports else ""}
if TYPE_CHECKING:
from collections.abc import Sequence
__all__ = ["downgrade", "upgrade", "schema_upgrades", "schema_downgrades", "data_upgrades", "data_downgrades"]
sa.GUID = GUID
sa.DateTimeUTC = DateTimeUTC
sa.ORA_JSONB = ORA_JSONB
sa.EncryptedString = EncryptedString
sa.EncryptedText = EncryptedText
# revision identifiers, used by Alembic.
revision: str = ${repr(up_revision)}
down_revision: str | None = ${repr(down_revision)}
branch_labels: str | Sequence[str] | None = ${repr(branch_labels)}
depends_on: str | Sequence[str] | None = ${repr(depends_on)}
def upgrade() -> None:
with warnings.catch_warnings():
warnings.filterwarnings("ignore", category=UserWarning)
with op.get_context().autocommit_block():
schema_upgrades()
data_upgrades()
def downgrade() -> None:
with warnings.catch_warnings():
warnings.filterwarnings("ignore", category=UserWarning)
with op.get_context().autocommit_block():
data_downgrades()
schema_downgrades()
def schema_upgrades() -> None:
"""schema upgrade migrations go here."""
${upgrades if upgrades else "pass"}
def schema_downgrades() -> None:
"""schema downgrade migrations go here."""
${downgrades if downgrades else "pass"}
def data_upgrades() -> None:
"""Add any optional data upgrade migrations here!"""
def data_downgrades() -> None:
"""Add any optional data downgrade migrations here!"""
python-advanced-alchemy-0.34.0/advanced_alchemy/alembic/utils.py 0000664 0000000 0000000 00000010174 14763441450 0024672 0 ustar 00root root 0000000 0000000 from contextlib import AbstractAsyncContextManager, AbstractContextManager
from pathlib import Path
from typing import TYPE_CHECKING, Union
from litestar.cli._utils import console
from sqlalchemy import Engine, MetaData, Table
from typing_extensions import TypeIs
if TYPE_CHECKING:
from sqlalchemy.ext.asyncio import AsyncEngine, AsyncSession
from sqlalchemy.orm import DeclarativeBase, Session
__all__ = ("drop_all", "dump_tables")
async def drop_all(engine: "Union[AsyncEngine, Engine]", version_table_name: str, metadata: MetaData) -> None:
def _is_sync(engine: "Union[Engine, AsyncEngine]") -> "TypeIs[Engine]":
return isinstance(engine, Engine)
def _drop_tables_sync(engine: Engine) -> None:
console.rule("[bold red]Connecting to database backend.")
with engine.begin() as db:
console.rule("[bold red]Dropping the db", align="left")
metadata.drop_all(db)
console.rule("[bold red]Dropping the version table", align="left")
Table(version_table_name, metadata).drop(db, checkfirst=True)
console.rule("[bold yellow]Successfully dropped all objects", align="left")
async def _drop_tables_async(engine: "AsyncEngine") -> None:
console.rule("[bold red]Connecting to database backend.", align="left")
async with engine.begin() as db:
console.rule("[bold red]Dropping the db", align="left")
await db.run_sync(metadata.drop_all)
console.rule("[bold red]Dropping the version table", align="left")
await db.run_sync(Table(version_table_name, metadata).drop, checkfirst=True)
console.rule("[bold yellow]Successfully dropped all objects", align="left")
if _is_sync(engine):
return _drop_tables_sync(engine)
return await _drop_tables_async(engine)
async def dump_tables(
dump_dir: Path,
session: "Union[AbstractContextManager[Session], AbstractAsyncContextManager[AsyncSession]]",
models: "list[type[DeclarativeBase]]",
) -> None:
from types import new_class
from advanced_alchemy._serialization import encode_json
def _is_sync(
session: "Union[AbstractAsyncContextManager[AsyncSession], AbstractContextManager[Session]]",
) -> "TypeIs[AbstractContextManager[Session]]":
return isinstance(session, AbstractContextManager)
def _dump_table_sync(session: "AbstractContextManager[Session]") -> None:
from advanced_alchemy.repository import SQLAlchemySyncRepository
with session as _session:
for model in models:
json_path = dump_dir / f"{model.__tablename__}.json"
console.rule(
f"[yellow bold]Dumping table '{json_path.stem}' to '{json_path}'",
style="yellow",
align="left",
)
repo = new_class(
"repo",
(SQLAlchemySyncRepository,),
exec_body=lambda ns, model=model: ns.setdefault("model_type", model), # type: ignore[misc]
)
json_path.write_text(encode_json([row.to_dict() for row in repo(session=_session).list()]))
async def _dump_table_async(session: "AbstractAsyncContextManager[AsyncSession]") -> None:
from advanced_alchemy.repository import SQLAlchemyAsyncRepository
async with session as _session:
for model in models:
json_path = dump_dir / f"{model.__tablename__}.json"
console.rule(
f"[yellow bold]Dumping table '{json_path.stem}' to '{json_path}'",
style="yellow",
align="left",
)
repo = new_class(
"repo",
(SQLAlchemyAsyncRepository,),
exec_body=lambda ns, model=model: ns.setdefault("model_type", model), # type: ignore[misc]
)
json_path.write_text(encode_json([row.to_dict() for row in await repo(session=_session).list()]))
dump_dir.mkdir(exist_ok=True)
if _is_sync(session):
return _dump_table_sync(session)
return await _dump_table_async(session)
python-advanced-alchemy-0.34.0/advanced_alchemy/base.py 0000664 0000000 0000000 00000042144 14763441450 0023052 0 ustar 00root root 0000000 0000000 # ruff: noqa: TC004
"""Common base classes for SQLAlchemy declarative models."""
import contextlib
import datetime
import re
from collections.abc import Iterator
from typing import TYPE_CHECKING, Any, Optional, Protocol, Union, cast, runtime_checkable
from uuid import UUID
from sqlalchemy import Date, MetaData, String
from sqlalchemy.ext.asyncio import AsyncAttrs
from sqlalchemy.orm import (
DeclarativeBase,
Mapper,
declared_attr,
)
from sqlalchemy.orm import (
registry as SQLAlchemyRegistry, # noqa: N812
)
from sqlalchemy.orm.decl_base import _TableArgsType as TableArgsType # pyright: ignore[reportPrivateUsage]
from sqlalchemy.types import TypeEngine
from typing_extensions import Self, TypeVar
from advanced_alchemy.mixins import (
AuditColumns as _AuditColumns,
)
from advanced_alchemy.mixins import (
BigIntPrimaryKey as _BigIntPrimaryKey,
)
from advanced_alchemy.mixins import (
NanoIDPrimaryKey as _NanoIDPrimaryKey,
)
from advanced_alchemy.mixins import (
UUIDPrimaryKey as _UUIDPrimaryKey,
)
from advanced_alchemy.mixins import (
UUIDv6PrimaryKey as _UUIDv6PrimaryKey,
)
from advanced_alchemy.mixins import (
UUIDv7PrimaryKey as _UUIDv7PrimaryKey,
)
from advanced_alchemy.types import GUID, DateTimeUTC, JsonB
from advanced_alchemy.utils.dataclass import DataclassProtocol
from advanced_alchemy.utils.deprecation import warn_deprecation
if TYPE_CHECKING:
# these should stay here since they are deprecated. They are imported in the __getattr__ function
from sqlalchemy.sql import FromClause
from sqlalchemy.sql.schema import (
_NamingSchemaParameter as NamingSchemaParameter, # pyright: ignore[reportPrivateUsage]
)
from advanced_alchemy.mixins import (
AuditColumns,
BigIntPrimaryKey,
NanoIDPrimaryKey,
SlugKey,
UUIDPrimaryKey,
UUIDv6PrimaryKey,
UUIDv7PrimaryKey,
)
__all__ = (
"AdvancedDeclarativeBase",
"AuditColumns",
"BasicAttributes",
"BigIntAuditBase",
"BigIntBase",
"BigIntBaseT",
"BigIntPrimaryKey",
"CommonTableAttributes",
"ModelProtocol",
"NanoIDAuditBase",
"NanoIDBase",
"NanoIDBaseT",
"NanoIDPrimaryKey",
"SQLQuery",
"SlugKey",
"TableArgsType",
"UUIDAuditBase",
"UUIDBase",
"UUIDBaseT",
"UUIDPrimaryKey",
"UUIDv6AuditBase",
"UUIDv6Base",
"UUIDv6BaseT",
"UUIDv6PrimaryKey",
"UUIDv7AuditBase",
"UUIDv7Base",
"UUIDv7BaseT",
"UUIDv7PrimaryKey",
"convention",
"create_registry",
"merge_table_arguments",
"metadata_registry",
"orm_registry",
"table_name_regexp",
)
def __getattr__(attr_name: str) -> object:
if attr_name == "__path__":
return __file__
_deprecated_attrs = {
"SlugKey",
"AuditColumns",
"NanoIDPrimaryKey",
"BigIntPrimaryKey",
"UUIDPrimaryKey",
"UUIDv6PrimaryKey",
"UUIDv7PrimaryKey",
}
if attr_name in _deprecated_attrs:
from advanced_alchemy import mixins
module = "advanced_alchemy.mixins"
value = globals()[attr_name] = getattr(mixins, attr_name)
warn_deprecation(
deprecated_name=f"advanced_alchemy.base.{attr_name}",
version="0.26.0",
kind="import",
removal_in="1.0.0",
info=f"importing {attr_name} from 'advanced_alchemy.base' is deprecated, please import it from '{module}' instead",
)
return value
if attr_name in set(__all__).difference(_deprecated_attrs):
value = globals()[attr_name] = locals()[attr_name]
return value
msg = f"module {__name__!r} has no attribute {attr_name!r}"
raise AttributeError(msg)
UUIDBaseT = TypeVar("UUIDBaseT", bound="UUIDBase")
"""Type variable for :class:`UUIDBase`."""
BigIntBaseT = TypeVar("BigIntBaseT", bound="BigIntBase")
"""Type variable for :class:`BigIntBase`."""
UUIDv6BaseT = TypeVar("UUIDv6BaseT", bound="UUIDv6Base")
"""Type variable for :class:`UUIDv6Base`."""
UUIDv7BaseT = TypeVar("UUIDv7BaseT", bound="UUIDv7Base")
"""Type variable for :class:`UUIDv7Base`."""
NanoIDBaseT = TypeVar("NanoIDBaseT", bound="NanoIDBase")
"""Type variable for :class:`NanoIDBase`."""
convention: "NamingSchemaParameter" = {
"ix": "ix_%(column_0_label)s",
"uq": "uq_%(table_name)s_%(column_0_name)s",
"ck": "ck_%(table_name)s_%(constraint_name)s",
"fk": "fk_%(table_name)s_%(column_0_name)s_%(referred_table_name)s",
"pk": "pk_%(table_name)s",
}
"""Templates for automated constraint name generation."""
table_name_regexp = re.compile("((?<=[a-z0-9])[A-Z]|(?!^)[A-Z](?=[a-z]))")
"""Regular expression for table name"""
def merge_table_arguments(cls: type[DeclarativeBase], table_args: Optional[TableArgsType] = None) -> TableArgsType:
"""Merge Table Arguments.
This function helps merge table arguments when using mixins that include their own table args,
making it easier to append additional information such as comments or constraints to the model.
Args:
cls (type[:class:`sqlalchemy.orm.DeclarativeBase`]): The model that will get the table args.
table_args (:class:`TableArgsType`, optional): Additional information to add to table_args.
Returns:
:class:`TableArgsType`: Merged table arguments.
"""
args: list[Any] = []
kwargs: dict[str, Any] = {}
mixin_table_args = (getattr(super(base_cls, cls), "__table_args__", None) for base_cls in cls.__bases__) # pyright: ignore[reportUnknownParameter,reportUnknownArgumentType,reportArgumentType]
for arg_to_merge in (*mixin_table_args, table_args):
if arg_to_merge:
if isinstance(arg_to_merge, tuple):
last_positional_arg = arg_to_merge[-1] # pyright: ignore[reportUnknownVariableType]
args.extend(arg_to_merge[:-1]) # pyright: ignore[reportUnknownArgumentType]
if isinstance(last_positional_arg, dict):
kwargs.update(last_positional_arg) # pyright: ignore[reportUnknownArgumentType]
else:
args.append(last_positional_arg)
else:
kwargs.update(arg_to_merge)
if args:
if kwargs:
return (*args, kwargs)
return tuple(args)
return kwargs
@runtime_checkable
class ModelProtocol(Protocol):
"""The base SQLAlchemy model protocol.
Attributes:
__table__ (:class:`sqlalchemy.sql.FromClause`): The table associated with the model.
__mapper__ (:class:`sqlalchemy.orm.Mapper`): The mapper for the model.
__name__ (str): The name of the model.
"""
if TYPE_CHECKING:
__table__: FromClause
__mapper__: Mapper[Any]
__name__: str
def to_dict(self, exclude: Optional[set[str]] = None) -> dict[str, Any]:
"""Convert model to dictionary.
Returns:
Dict[str, Any]: A dict representation of the model
"""
...
class BasicAttributes:
"""Basic attributes for SQLAlchemy tables and queries.
Provides a method to convert the model to a dictionary representation.
Methods:
to_dict: Converts the model to a dictionary, excluding specified fields. :no-index:
"""
if TYPE_CHECKING:
__name__: str
__table__: FromClause
__mapper__: Mapper[Any]
def to_dict(self, exclude: Optional[set[str]] = None) -> dict[str, Any]:
"""Convert model to dictionary.
Returns:
Dict[str, Any]: A dict representation of the model
"""
exclude = {"sa_orm_sentinel", "_sentinel"}.union(self._sa_instance_state.unloaded).union(exclude or []) # type: ignore[attr-defined]
return {
field: getattr(self, field)
for field in self.__mapper__.columns.keys() # noqa: SIM118
if field not in exclude
}
class CommonTableAttributes(BasicAttributes):
"""Common attributes for SQLAlchemy tables.
Inherits from :class:`BasicAttributes` and provides a mechanism to infer table names from class names.
Attributes:
__tablename__ (str): The inferred table name.
"""
if TYPE_CHECKING:
__tablename__: str
else:
@declared_attr.directive
def __tablename__(cls) -> str:
"""Infer table name from class name."""
return table_name_regexp.sub(r"_\1", cls.__name__).lower()
def create_registry(
custom_annotation_map: Optional[dict[Any, Union[type[TypeEngine[Any]], TypeEngine[Any]]]] = None,
) -> SQLAlchemyRegistry:
"""Create a new SQLAlchemy registry.
Args:
custom_annotation_map (dict, optional): Custom type annotations to use for the registry.
Returns:
:class:`sqlalchemy.orm.registry`: A new SQLAlchemy registry with the specified type annotations.
"""
import uuid as core_uuid
meta = MetaData(naming_convention=convention)
type_annotation_map: dict[Any, Union[type[TypeEngine[Any]], TypeEngine[Any]]] = {
UUID: GUID,
core_uuid.UUID: GUID,
datetime.datetime: DateTimeUTC,
datetime.date: Date,
dict: JsonB,
dict[str, Any]: JsonB,
dict[str, str]: JsonB,
DataclassProtocol: JsonB,
}
with contextlib.suppress(ImportError):
from pydantic import AnyHttpUrl, AnyUrl, EmailStr, IPvAnyAddress, IPvAnyInterface, IPvAnyNetwork, Json
type_annotation_map.update(
{
EmailStr: String,
AnyUrl: String,
AnyHttpUrl: String,
Json: JsonB,
IPvAnyAddress: String,
IPvAnyInterface: String,
IPvAnyNetwork: String,
}
)
with contextlib.suppress(ImportError):
from msgspec import Struct
type_annotation_map[Struct] = JsonB
if custom_annotation_map is not None:
type_annotation_map.update(custom_annotation_map)
return SQLAlchemyRegistry(metadata=meta, type_annotation_map=type_annotation_map)
orm_registry = create_registry()
class MetadataRegistry:
"""A registry for metadata.
Provides methods to get and set metadata for different bind keys.
Methods:
get: Retrieves the metadata for a given bind key.
set: Sets the metadata for a given bind key.
"""
_instance: Optional["MetadataRegistry"] = None
_registry: dict[Union[str, None], MetaData] = {None: orm_registry.metadata}
def __new__(cls) -> Self:
if cls._instance is None:
cls._instance = super().__new__(cls)
return cast(Self, cls._instance)
def get(self, bind_key: Optional[str] = None) -> MetaData:
"""Get the metadata for the given bind key."""
return self._registry.setdefault(bind_key, MetaData(naming_convention=convention))
def set(self, bind_key: Optional[str], metadata: MetaData) -> None:
"""Set the metadata for the given bind key."""
self._registry[bind_key] = metadata
def __iter__(self) -> Iterator[Union[str, None]]:
return iter(self._registry)
def __getitem__(self, bind_key: Union[str, None]) -> MetaData:
return self._registry[bind_key]
def __setitem__(self, bind_key: Union[str, None], metadata: MetaData) -> None:
self._registry[bind_key] = metadata
def __contains__(self, bind_key: Union[str, None]) -> bool:
return bind_key in self._registry
metadata_registry = MetadataRegistry()
class AdvancedDeclarativeBase(DeclarativeBase):
"""A subclass of declarative base that allows for overriding of the registry.
Inherits from :class:`sqlalchemy.orm.DeclarativeBase`.
Attributes:
registry (:class:`sqlalchemy.orm.registry`): The registry for the declarative base.
__metadata_registry__ (:class:`~advanced_alchemy.base.MetadataRegistry`): The metadata registry.
__bind_key__ (Optional[:class:`str`]): The bind key for the metadata.
"""
registry = orm_registry
__abstract__ = True
__metadata_registry__: MetadataRegistry = MetadataRegistry()
__bind_key__: Optional[str] = None
def __init_subclass__(cls, **kwargs: Any) -> None:
bind_key = getattr(cls, "__bind_key__", None)
if bind_key is not None:
cls.metadata = cls.__metadata_registry__.get(bind_key)
elif None not in cls.__metadata_registry__ and getattr(cls, "metadata", None) is not None:
cls.__metadata_registry__[None] = cls.metadata
super().__init_subclass__(**kwargs)
class UUIDBase(_UUIDPrimaryKey, CommonTableAttributes, AdvancedDeclarativeBase, AsyncAttrs):
"""Base for all SQLAlchemy declarative models with UUID v4 primary keys.
.. seealso::
:class:`CommonTableAttributes`
:class:`advanced_alchemy.mixins.UUIDPrimaryKey`
:class:`AdvancedDeclarativeBase`
:class:`AsyncAttrs`
"""
__abstract__ = True
class UUIDAuditBase(CommonTableAttributes, _UUIDPrimaryKey, _AuditColumns, AdvancedDeclarativeBase, AsyncAttrs):
"""Base for declarative models with UUID v4 primary keys and audit columns.
.. seealso::
:class:`CommonTableAttributes`
:class:`advanced_alchemy.mixins.UUIDPrimaryKey`
:class:`advanced_alchemy.mixins.AuditColumns`
:class:`AdvancedDeclarativeBase`
:class:`AsyncAttrs`
"""
__abstract__ = True
class UUIDv6Base(_UUIDv6PrimaryKey, CommonTableAttributes, AdvancedDeclarativeBase, AsyncAttrs):
"""Base for all SQLAlchemy declarative models with UUID v6 primary keys.
.. seealso::
:class:`advanced_alchemy.mixins.UUIDv6PrimaryKey`
:class:`CommonTableAttributes`
:class:`AdvancedDeclarativeBase`
:class:`AsyncAttrs`
"""
__abstract__ = True
class UUIDv6AuditBase(CommonTableAttributes, _UUIDv6PrimaryKey, _AuditColumns, AdvancedDeclarativeBase, AsyncAttrs):
"""Base for declarative models with UUID v6 primary keys and audit columns.
.. seealso::
:class:`CommonTableAttributes`
:class:`advanced_alchemy.mixins.UUIDv6PrimaryKey`
:class:`advanced_alchemy.mixins.AuditColumns`
:class:`AdvancedDeclarativeBase`
:class:`AsyncAttrs`
"""
__abstract__ = True
class UUIDv7Base(_UUIDv7PrimaryKey, CommonTableAttributes, AdvancedDeclarativeBase, AsyncAttrs):
"""Base for all SQLAlchemy declarative models with UUID v7 primary keys.
.. seealso::
:class:`advanced_alchemy.mixins.UUIDv7PrimaryKey`
:class:`CommonTableAttributes`
:class:`AdvancedDeclarativeBase`
:class:`AsyncAttrs`
"""
__abstract__ = True
class UUIDv7AuditBase(CommonTableAttributes, _UUIDv7PrimaryKey, _AuditColumns, AdvancedDeclarativeBase, AsyncAttrs):
"""Base for declarative models with UUID v7 primary keys and audit columns.
.. seealso::
:class:`CommonTableAttributes`
:class:`advanced_alchemy.mixins.UUIDv7PrimaryKey`
:class:`advanced_alchemy.mixins.AuditColumns`
:class:`AdvancedDeclarativeBase`
:class:`AsyncAttrs`
"""
__abstract__ = True
class NanoIDBase(_NanoIDPrimaryKey, CommonTableAttributes, AdvancedDeclarativeBase, AsyncAttrs):
"""Base for all SQLAlchemy declarative models with Nano ID primary keys.
.. seealso::
:class:`advanced_alchemy.mixins.NanoIDPrimaryKey`
:class:`CommonTableAttributes`
:class:`AdvancedDeclarativeBase`
:class:`AsyncAttrs`
"""
__abstract__ = True
class NanoIDAuditBase(CommonTableAttributes, _NanoIDPrimaryKey, _AuditColumns, AdvancedDeclarativeBase, AsyncAttrs):
"""Base for declarative models with Nano ID primary keys and audit columns.
.. seealso::
:class:`CommonTableAttributes`
:class:`advanced_alchemy.mixins.NanoIDPrimaryKey`
:class:`advanced_alchemy.mixins.AuditColumns`
:class:`AdvancedDeclarativeBase`
:class:`AsyncAttrs`
"""
__abstract__ = True
class BigIntBase(_BigIntPrimaryKey, CommonTableAttributes, AdvancedDeclarativeBase, AsyncAttrs):
"""Base for all SQLAlchemy declarative models with BigInt primary keys.
.. seealso::
:class:`advanced_alchemy.mixins.BigIntPrimaryKey`
:class:`CommonTableAttributes`
:class:`AdvancedDeclarativeBase`
:class:`AsyncAttrs`
"""
__abstract__ = True
class BigIntAuditBase(CommonTableAttributes, _BigIntPrimaryKey, _AuditColumns, AdvancedDeclarativeBase, AsyncAttrs):
"""Base for declarative models with BigInt primary keys and audit columns.
.. seealso::
:class:`CommonTableAttributes`
:class:`advanced_alchemy.mixins.BigIntPrimaryKey`
:class:`advanced_alchemy.mixins.AuditColumns`
:class:`AdvancedDeclarativeBase`
:class:`AsyncAttrs`
"""
__abstract__ = True
class DefaultBase(CommonTableAttributes, AdvancedDeclarativeBase, AsyncAttrs):
"""Base for all SQLAlchemy declarative models. No primary key is added.
.. seealso::
:class:`CommonTableAttributes`
:class:`AdvancedDeclarativeBase`
:class:`AsyncAttrs`
"""
__abstract__ = True
class SQLQuery(BasicAttributes, AdvancedDeclarativeBase, AsyncAttrs):
"""Base for all SQLAlchemy custom mapped objects.
.. seealso::
:class:`BasicAttributes`
:class:`AdvancedDeclarativeBase`
:class:`AsyncAttrs`
"""
__abstract__ = True
__allow_unmapped__ = True
python-advanced-alchemy-0.34.0/advanced_alchemy/cli.py 0000664 0000000 0000000 00000037621 14763441450 0022713 0 ustar 00root root 0000000 0000000 from collections.abc import Sequence
from pathlib import Path
from typing import TYPE_CHECKING, Optional, Union, cast
if TYPE_CHECKING:
from click import Group
from advanced_alchemy.config import SQLAlchemyAsyncConfig, SQLAlchemySyncConfig
from alembic.migration import MigrationContext
from alembic.operations.ops import MigrationScript, UpgradeOps
__all__ = ("add_migration_commands", "get_alchemy_group")
def get_alchemy_group() -> "Group":
"""Get the Advanced Alchemy CLI group."""
from advanced_alchemy.exceptions import MissingDependencyError
try:
import rich_click as click
except ImportError:
try:
import click # type: ignore[no-redef]
except ImportError as e:
raise MissingDependencyError(package="click", install_package="cli") from e
@click.group(name="alchemy")
@click.option(
"--config",
help="Dotted path to SQLAlchemy config(s) (e.g. 'myapp.config.alchemy_configs')",
required=True,
type=str,
)
@click.pass_context
def alchemy_group(ctx: "click.Context", config: str) -> None:
"""Advanced Alchemy CLI commands."""
from rich import get_console
from advanced_alchemy.utils import module_loader
console = get_console()
ctx.ensure_object(dict)
try:
config_instance = module_loader.import_string(config)
if isinstance(config_instance, Sequence):
ctx.obj["configs"] = config_instance
else:
ctx.obj["configs"] = [config_instance]
except ImportError as e:
console.print(f"[red]Error loading config: {e}[/]")
ctx.exit(1)
return alchemy_group
def add_migration_commands(database_group: Optional["Group"] = None) -> "Group": # noqa: C901, PLR0915
"""Add migration commands to the database group."""
from advanced_alchemy.exceptions import MissingDependencyError
try:
import rich_click as click
except ImportError:
try:
import click # type: ignore[no-redef]
except ImportError as e:
raise MissingDependencyError(package="click", install_package="cli") from e
from rich import get_console
console = get_console()
if database_group is None:
database_group = get_alchemy_group()
bind_key_option = click.option(
"--bind-key",
help="Specify which SQLAlchemy config to use by bind key",
type=str,
default=None,
)
verbose_option = click.option(
"--verbose",
help="Enable verbose output.",
type=bool,
default=False,
is_flag=True,
)
no_prompt_option = click.option(
"--no-prompt",
help="Do not prompt for confirmation before executing the command.",
type=bool,
default=False,
required=False,
show_default=True,
is_flag=True,
)
def get_config_by_bind_key(
ctx: "click.Context", bind_key: Optional[str]
) -> "Union[SQLAlchemyAsyncConfig, SQLAlchemySyncConfig]":
"""Get the SQLAlchemy config for the specified bind key."""
configs = ctx.obj["configs"]
if bind_key is None:
return cast("Union[SQLAlchemyAsyncConfig, SQLAlchemySyncConfig]", configs[0])
for config in configs:
if config.bind_key == bind_key:
return cast("Union[SQLAlchemyAsyncConfig, SQLAlchemySyncConfig]", config)
console.print(f"[red]No config found for bind key: {bind_key}[/]")
ctx.exit(1) # noqa: RET503
@database_group.command(
name="show-current-revision",
help="Shows the current revision for the database.",
)
@bind_key_option
@verbose_option
def show_database_revision(bind_key: Optional[str], verbose: bool) -> None: # pyright: ignore[reportUnusedFunction]
"""Show current database revision."""
from advanced_alchemy.alembic.commands import AlembicCommands
ctx = click.get_current_context()
console.rule("[yellow]Listing current revision[/]", align="left")
sqlalchemy_config = get_config_by_bind_key(ctx, bind_key)
alembic_commands = AlembicCommands(sqlalchemy_config=sqlalchemy_config)
alembic_commands.current(verbose=verbose)
@database_group.command(
name="downgrade",
help="Downgrade database to a specific revision.",
)
@bind_key_option
@click.option("--sql", type=bool, help="Generate SQL output for offline migrations.", default=False, is_flag=True)
@click.option(
"--tag",
help="an arbitrary 'tag' that can be intercepted by custom env.py scripts via the .EnvironmentContext.get_tag_argument method.",
type=str,
default=None,
)
@no_prompt_option
@click.argument(
"revision",
type=str,
default="-1",
)
def downgrade_database( # pyright: ignore[reportUnusedFunction]
bind_key: Optional[str], revision: str, sql: bool, tag: Optional[str], no_prompt: bool
) -> None:
"""Downgrade the database to the latest revision."""
from rich.prompt import Confirm
from advanced_alchemy.alembic.commands import AlembicCommands
ctx = click.get_current_context()
console.rule("[yellow]Starting database downgrade process[/]", align="left")
input_confirmed = (
True
if no_prompt
else Confirm.ask(f"Are you sure you want to downgrade the database to the `{revision}` revision?")
)
if input_confirmed:
sqlalchemy_config = get_config_by_bind_key(ctx, bind_key)
alembic_commands = AlembicCommands(sqlalchemy_config=sqlalchemy_config)
alembic_commands.downgrade(revision=revision, sql=sql, tag=tag)
@database_group.command(
name="upgrade",
help="Upgrade database to a specific revision.",
)
@bind_key_option
@click.option("--sql", type=bool, help="Generate SQL output for offline migrations.", default=False, is_flag=True)
@click.option(
"--tag",
help="an arbitrary 'tag' that can be intercepted by custom env.py scripts via the .EnvironmentContext.get_tag_argument method.",
type=str,
default=None,
)
@no_prompt_option
@click.argument(
"revision",
type=str,
default="head",
)
def upgrade_database( # pyright: ignore[reportUnusedFunction]
bind_key: Optional[str], revision: str, sql: bool, tag: Optional[str], no_prompt: bool
) -> None:
"""Upgrade the database to the latest revision."""
from rich.prompt import Confirm
from advanced_alchemy.alembic.commands import AlembicCommands
ctx = click.get_current_context()
console.rule("[yellow]Starting database upgrade process[/]", align="left")
input_confirmed = (
True
if no_prompt
else Confirm.ask(f"[bold]Are you sure you want migrate the database to the `{revision}` revision?[/]")
)
if input_confirmed:
sqlalchemy_config = get_config_by_bind_key(ctx, bind_key)
alembic_commands = AlembicCommands(sqlalchemy_config=sqlalchemy_config)
alembic_commands.upgrade(revision=revision, sql=sql, tag=tag)
@database_group.command(
name="init",
help="Initialize migrations for the project.",
)
@bind_key_option
@click.argument(
"directory",
default=None,
required=False,
)
@click.option("--multidb", is_flag=True, default=False, help="Support multiple databases")
@click.option("--package", is_flag=True, default=True, help="Create `__init__.py` for created folder")
@no_prompt_option
def init_alembic( # pyright: ignore[reportUnusedFunction]
bind_key: Optional[str], directory: Optional[str], multidb: bool, package: bool, no_prompt: bool
) -> None:
"""Initialize the database migrations."""
from rich.prompt import Confirm
from advanced_alchemy.alembic.commands import AlembicCommands
ctx = click.get_current_context()
console.rule("[yellow]Initializing database migrations.", align="left")
input_confirmed = (
True if no_prompt else Confirm.ask("[bold]Are you sure you want initialize migrations for the project?[/]")
)
if input_confirmed:
configs = [get_config_by_bind_key(ctx, bind_key)] if bind_key is not None else ctx.obj["configs"]
for config in configs:
directory = config.alembic_config.script_location if directory is None else directory
alembic_commands = AlembicCommands(sqlalchemy_config=config)
alembic_commands.init(directory=cast("str", directory), multidb=multidb, package=package)
@database_group.command(
name="make-migrations",
help="Create a new migration revision.",
)
@bind_key_option
@click.option("-m", "--message", default=None, help="Revision message")
@click.option(
"--autogenerate/--no-autogenerate", default=True, help="Automatically populate revision with detected changes"
)
@click.option("--sql", is_flag=True, default=False, help="Export to `.sql` instead of writing to the database.")
@click.option("--head", default="head", help="Specify head revision to use as base for new revision.")
@click.option(
"--splice", is_flag=True, default=False, help='Allow a non-head revision as the "head" to splice onto'
)
@click.option("--branch-label", default=None, help="Specify a branch label to apply to the new revision")
@click.option("--version-path", default=None, help="Specify specific path from config for version file")
@click.option("--rev-id", default=None, help="Specify a ID to use for revision.")
@no_prompt_option
def create_revision( # pyright: ignore[reportUnusedFunction]
bind_key: Optional[str],
message: Optional[str],
autogenerate: bool,
sql: bool,
head: str,
splice: bool,
branch_label: Optional[str],
version_path: Optional[str],
rev_id: Optional[str],
no_prompt: bool,
) -> None:
"""Create a new database revision."""
from rich.prompt import Prompt
from advanced_alchemy.alembic.commands import AlembicCommands
def process_revision_directives(
context: "MigrationContext", # noqa: ARG001
revision: tuple[str], # noqa: ARG001
directives: list["MigrationScript"],
) -> None:
"""Handle revision directives."""
if autogenerate and cast("UpgradeOps", directives[0].upgrade_ops).is_empty():
console.rule(
"[magenta]The generation of a migration file is being skipped because it would result in an empty file.",
style="magenta",
align="left",
)
console.rule(
"[magenta]More information can be found here. https://alembic.sqlalchemy.org/en/latest/autogenerate.html#what-does-autogenerate-detect-and-what-does-it-not-detect",
style="magenta",
align="left",
)
console.rule(
"[magenta]If you intend to create an empty migration file, use the --no-autogenerate option.",
style="magenta",
align="left",
)
directives.clear()
ctx = click.get_current_context()
console.rule("[yellow]Starting database upgrade process[/]", align="left")
if message is None:
message = "autogenerated" if no_prompt else Prompt.ask("Please enter a message describing this revision")
sqlalchemy_config = get_config_by_bind_key(ctx, bind_key)
alembic_commands = AlembicCommands(sqlalchemy_config=sqlalchemy_config)
alembic_commands.revision(
message=message,
autogenerate=autogenerate,
sql=sql,
head=head,
splice=splice,
branch_label=branch_label,
version_path=version_path,
rev_id=rev_id,
process_revision_directives=process_revision_directives, # type: ignore[arg-type]
)
@database_group.command(name="drop-all", help="Drop all tables from the database.")
@bind_key_option
@no_prompt_option
def drop_all(bind_key: Optional[str], no_prompt: bool) -> None: # pyright: ignore[reportUnusedFunction]
"""Drop all tables from the database."""
from anyio import run
from rich.prompt import Confirm
from advanced_alchemy.alembic.utils import drop_all
from advanced_alchemy.base import metadata_registry
ctx = click.get_current_context()
console.rule("[yellow]Dropping all tables from the database[/]", align="left")
input_confirmed = no_prompt or Confirm.ask(
"[bold red]Are you sure you want to drop all tables from the database?"
)
async def _drop_all(
configs: "Sequence[Union[SQLAlchemyAsyncConfig, SQLAlchemySyncConfig]]",
) -> None:
for config in configs:
engine = config.get_engine()
await drop_all(engine, config.alembic_config.version_table_name, metadata_registry.get(config.bind_key))
if input_confirmed:
configs = [get_config_by_bind_key(ctx, bind_key)] if bind_key is not None else ctx.obj["configs"]
run(_drop_all, configs)
@database_group.command(name="dump-data", help="Dump specified tables from the database to JSON files.")
@bind_key_option
@click.option(
"--table",
"table_names",
help="Name of the table to dump. Multiple tables can be specified. Use '*' to dump all tables.",
type=str,
required=True,
multiple=True,
)
@click.option(
"--dir",
"dump_dir",
help="Directory to save the JSON files. Defaults to WORKDIR/fixtures",
type=click.Path(path_type=Path),
default=Path.cwd() / "fixtures",
required=False,
)
def dump_table_data(bind_key: Optional[str], table_names: tuple[str, ...], dump_dir: Path) -> None: # pyright: ignore[reportUnusedFunction]
"""Dump table data to JSON files."""
from anyio import run
from rich.prompt import Confirm
from advanced_alchemy.alembic.utils import dump_tables
from advanced_alchemy.base import metadata_registry, orm_registry
ctx = click.get_current_context()
all_tables = "*" in table_names
if all_tables and not Confirm.ask(
"[yellow bold]You have specified '*'. Are you sure you want to dump all tables from the database?",
):
return console.rule("[red bold]No data was dumped.", style="red", align="left")
async def _dump_tables() -> None:
configs = [get_config_by_bind_key(ctx, bind_key)] if bind_key is not None else ctx.obj["configs"]
for config in configs:
target_tables = set(metadata_registry.get(config.bind_key).tables)
if not all_tables:
for table_name in set(table_names) - target_tables:
console.rule(
f"[red bold]Skipping table '{table_name}' because it is not available in the default registry",
style="red",
align="left",
)
target_tables.intersection_update(table_names)
else:
console.rule("[yellow bold]Dumping all tables", style="yellow", align="left")
models = [
mapper.class_ for mapper in orm_registry.mappers if mapper.class_.__table__.name in target_tables
]
await dump_tables(dump_dir, config.get_session(), models)
console.rule("[green bold]Data dump complete", align="left")
return run(_dump_tables)
return database_group
python-advanced-alchemy-0.34.0/advanced_alchemy/config/ 0000775 0000000 0000000 00000000000 14763441450 0023026 5 ustar 00root root 0000000 0000000 python-advanced-alchemy-0.34.0/advanced_alchemy/config/__init__.py 0000664 0000000 0000000 00000001757 14763441450 0025151 0 ustar 00root root 0000000 0000000 from advanced_alchemy.config.asyncio import AlembicAsyncConfig, AsyncSessionConfig, SQLAlchemyAsyncConfig
from advanced_alchemy.config.common import (
ConnectionT,
EngineT,
GenericAlembicConfig,
GenericSessionConfig,
GenericSQLAlchemyConfig,
SessionMakerT,
SessionT,
)
from advanced_alchemy.config.engine import EngineConfig
from advanced_alchemy.config.sync import AlembicSyncConfig, SQLAlchemySyncConfig, SyncSessionConfig
from advanced_alchemy.config.types import CommitStrategy, TypeDecodersSequence, TypeEncodersMap
__all__ = (
"AlembicAsyncConfig",
"AlembicSyncConfig",
"AsyncSessionConfig",
"CommitStrategy",
"ConnectionT",
"EngineConfig",
"EngineT",
"GenericAlembicConfig",
"GenericSQLAlchemyConfig",
"GenericSessionConfig",
"SQLAlchemyAsyncConfig",
"SQLAlchemySyncConfig",
"SessionMakerT",
"SessionT",
"SyncSessionConfig",
"TypeDecodersSequence",
"TypeEncodersMap",
)
python-advanced-alchemy-0.34.0/advanced_alchemy/config/asyncio.py 0000664 0000000 0000000 00000006354 14763441450 0025055 0 ustar 00root root 0000000 0000000 from collections.abc import AsyncGenerator
from contextlib import asynccontextmanager
from dataclasses import dataclass, field
from typing import TYPE_CHECKING, Callable, Union
from sqlalchemy.ext.asyncio import AsyncConnection, AsyncEngine, AsyncSession, async_sessionmaker, create_async_engine
from advanced_alchemy.config.common import (
GenericAlembicConfig,
GenericSessionConfig,
GenericSQLAlchemyConfig,
)
from advanced_alchemy.utils.dataclass import Empty
if TYPE_CHECKING:
from typing import Callable
from sqlalchemy.orm import Session
from advanced_alchemy.utils.dataclass import EmptyType
__all__ = (
"AlembicAsyncConfig",
"AsyncSessionConfig",
"SQLAlchemyAsyncConfig",
)
@dataclass
class AsyncSessionConfig(GenericSessionConfig[AsyncConnection, AsyncEngine, AsyncSession]):
"""SQLAlchemy async session config."""
sync_session_class: "Union[type[Session], None, EmptyType]" = Empty
"""A :class:`Session ` subclass or other callable which will be used to construct the
:class:`Session ` which will be proxied. This parameter may be used to provide custom
:class:`Session ` subclasses. Defaults to the
:attr:`AsyncSession.sync_session_class ` class-level
attribute."""
@dataclass
class AlembicAsyncConfig(GenericAlembicConfig):
"""Configuration for an Async Alembic's Config class.
.. seealso::
https://alembic.sqlalchemy.org/en/latest/api/config.html
"""
@dataclass
class SQLAlchemyAsyncConfig(GenericSQLAlchemyConfig[AsyncEngine, AsyncSession, async_sessionmaker[AsyncSession]]):
"""Async SQLAlchemy Configuration.
Note:
The alembic configuration options are documented in the Alembic documentation.
"""
create_engine_callable: "Callable[[str], AsyncEngine]" = create_async_engine
"""Callable that creates an :class:`AsyncEngine ` instance or instance of its
subclass.
"""
session_config: AsyncSessionConfig = field(default_factory=AsyncSessionConfig) # pyright: ignore[reportIncompatibleVariableOverride]
"""Configuration options for the :class:`async_sessionmaker`."""
session_maker_class: "type[async_sessionmaker[AsyncSession]]" = async_sessionmaker # pyright: ignore[reportIncompatibleVariableOverride]
"""Sessionmaker class to use."""
alembic_config: "AlembicAsyncConfig" = field(default_factory=AlembicAsyncConfig)
"""Configuration for the SQLAlchemy Alembic migrations.
The configuration options are documented in the Alembic documentation.
"""
def __hash__(self) -> int:
return super().__hash__()
def __eq__(self, other: object) -> bool:
return super().__eq__(other)
@asynccontextmanager
async def get_session(
self,
) -> AsyncGenerator[AsyncSession, None]:
"""Get a session from the session maker.
Returns:
AsyncGenerator[AsyncSession, None]: An async context manager that yields an AsyncSession.
"""
session_maker = self.create_session_maker()
async with session_maker() as session:
yield session
python-advanced-alchemy-0.34.0/advanced_alchemy/config/common.py 0000664 0000000 0000000 00000032501 14763441450 0024671 0 ustar 00root root 0000000 0000000 from dataclasses import dataclass, field
from pathlib import Path
from typing import TYPE_CHECKING, Any, Callable, ClassVar, Generic, Optional, Union, cast
from typing_extensions import TypeVar
from advanced_alchemy.base import metadata_registry
from advanced_alchemy.config.engine import EngineConfig
from advanced_alchemy.exceptions import ImproperConfigurationError
from advanced_alchemy.utils.dataclass import Empty, simple_asdict
if TYPE_CHECKING:
from sqlalchemy import Connection, Engine, MetaData
from sqlalchemy.ext.asyncio import AsyncConnection, AsyncEngine, AsyncSession, async_sessionmaker
from sqlalchemy.orm import Mapper, Query, Session, sessionmaker
from sqlalchemy.orm.session import JoinTransactionMode
from sqlalchemy.sql import TableClause
from advanced_alchemy.utils.dataclass import EmptyType
__all__ = (
"ALEMBIC_TEMPLATE_PATH",
"ConnectionT",
"EngineT",
"GenericAlembicConfig",
"GenericSQLAlchemyConfig",
"GenericSessionConfig",
"SessionMakerT",
"SessionT",
)
ALEMBIC_TEMPLATE_PATH = f"{Path(__file__).parent.parent}/alembic/templates"
"""Path to the Alembic templates."""
ConnectionT = TypeVar("ConnectionT", bound="Union[Connection, AsyncConnection]")
"""Type variable for SQLAlchemy connection types.
.. seealso::
:class:`sqlalchemy.Connection`
:class:`sqlalchemy.ext.asyncio.AsyncConnection`
"""
EngineT = TypeVar("EngineT", bound="Union[Engine, AsyncEngine]")
"""Type variable for a SQLAlchemy engine.
.. seealso::
:class:`sqlalchemy.Engine`
:class:`sqlalchemy.ext.asyncio.AsyncEngine`
"""
SessionT = TypeVar("SessionT", bound="Union[Session, AsyncSession]")
"""Type variable for a SQLAlchemy session.
.. seealso::
:class:`sqlalchemy.Session`
:class:`sqlalchemy.ext.asyncio.AsyncSession`
"""
SessionMakerT = TypeVar("SessionMakerT", bound="Union[sessionmaker[Session], async_sessionmaker[AsyncSession]]")
"""Type variable for a SQLAlchemy sessionmaker.
.. seealso::
:class:`sqlalchemy.orm.sessionmaker`
:class:`sqlalchemy.ext.asyncio.async_sessionmaker`
"""
@dataclass
class GenericSessionConfig(Generic[ConnectionT, EngineT, SessionT]):
"""SQLAlchemy async session config.
Types:
ConnectionT: :class:`sqlalchemy.Connection` | :class:`sqlalchemy.ext.asyncio.AsyncConnection`
EngineT: :class:`sqlalchemy.Engine` | :class:`sqlalchemy.ext.asyncio.AsyncEngine`
SessionT: :class:`sqlalchemy.Session` | :class:`sqlalchemy.ext.asyncio.AsyncSession`
"""
autobegin: "Union[bool, EmptyType]" = Empty
"""Automatically start transactions when database access is requested by an operation.
Bool or :class:`Empty `
"""
autoflush: "Union[bool, EmptyType]" = Empty
"""When ``True``, all query operations will issue a flush call to this :class:`Session `
before proceeding"""
bind: "Union[EngineT, ConnectionT, None, EmptyType]" = Empty
"""The :class:`Engine ` or :class:`Connection ` that new
:class:`Session ` objects will be bound to."""
binds: "Union[dict[Union[type[Any], Mapper[Any], TableClause, str], Union[EngineT, ConnectionT]], None, EmptyType]" = Empty
"""A dictionary which may specify any number of :class:`Engine ` or :class:`Connection
` objects as the source of connectivity for SQL operations on a per-entity basis. The
keys of the dictionary consist of any series of mapped classes, arbitrary Python classes that are bases for mapped
classes, :class:`Table ` objects and :class:`Mapper ` objects. The
values of the dictionary are then instances of :class:`Engine ` or less commonly
:class:`Connection ` objects."""
class_: "Union[type[SessionT], EmptyType]" = Empty
"""Class to use in order to create new :class:`Session ` objects."""
expire_on_commit: "Union[bool, EmptyType]" = Empty
"""If ``True``, all instances will be expired after each commit."""
info: "Union[dict[str, Any], None, EmptyType]" = Empty
"""Optional dictionary of information that will be available via the
:attr:`Session.info `"""
join_transaction_mode: "Union[JoinTransactionMode, EmptyType]" = Empty
"""Describes the transactional behavior to take when a given bind is a Connection that has already begun a
transaction outside the scope of this Session; in other words the
:attr:`Connection.in_transaction() ` method returns True."""
query_cls: "Union[type[Query], None, EmptyType]" = Empty # pyright: ignore[reportMissingTypeArgument]
"""Class which should be used to create new Query objects, as returned by the
:attr:`Session.query() ` method."""
twophase: "Union[bool, EmptyType]" = Empty
"""When ``True``, all transactions will be started as a โtwo phaseโ transaction, i.e. using the โtwo phaseโ
semantics of the database in use along with an XID. During a :attr:`commit() `, after
:attr:`flush() ` has been issued for all attached databases, the
:attr:`TwoPhaseTransaction.prepare() ` method on each database`s
:class:`TwoPhaseTransaction ` will be called. This allows each database to
roll back the entire transaction, before each transaction is committed."""
@dataclass
class GenericSQLAlchemyConfig(Generic[EngineT, SessionT, SessionMakerT]):
"""Common SQLAlchemy Configuration.
Types:
EngineT: :class:`sqlalchemy.Engine` or :class:`sqlalchemy.ext.asyncio.AsyncEngine`
SessionT: :class:`sqlalchemy.Session` or :class:`sqlalchemy.ext.asyncio.AsyncSession`
SessionMakerT: :class:`sqlalchemy.orm.sessionmaker` or :class:`sqlalchemy.ext.asyncio.async_sessionmaker`
"""
create_engine_callable: "Callable[[str], EngineT]"
"""Callable that creates an :class:`AsyncEngine ` instance or instance of its
subclass.
"""
session_config: "GenericSessionConfig[Any, Any, Any]"
"""Configuration options for either the :class:`async_sessionmaker `
or :class:`sessionmaker `.
"""
session_maker_class: "type[Union[sessionmaker[Session], async_sessionmaker[AsyncSession]]]"
"""Sessionmaker class to use.
.. seealso::
:class:`sqlalchemy.orm.sessionmaker`
:class:`sqlalchemy.ext.asyncio.async_sessionmaker`
"""
connection_string: "Union[str, None]" = field(default=None)
"""Database connection string in one of the formats supported by SQLAlchemy.
Notes:
- For async connections, the connection string must include the correct async prefix.
e.g. ``'postgresql+asyncpg://...'`` instead of ``'postgresql://'``, and for sync connections its the opposite.
"""
engine_config: "EngineConfig" = field(default_factory=EngineConfig)
"""Configuration for the SQLAlchemy engine.
The configuration options are documented in the SQLAlchemy documentation.
"""
session_maker: "Union[Callable[[], SessionT], None]" = None
"""Callable that returns a session.
If provided, the plugin will use this rather than instantiate a sessionmaker.
"""
engine_instance: "Union[EngineT, None]" = None
"""Optional engine to use.
If set, the plugin will use the provided instance rather than instantiate an engine.
"""
create_all: bool = False
"""If true, all models are automatically created on engine creation."""
metadata: "Union[MetaData, None]" = None
"""Optional metadata to use.
If set, the plugin will use the provided instance rather than the default metadata."""
enable_touch_updated_timestamp_listener: bool = True
"""Enable Created/Updated Timestamp event listener.
This is a listener that will update ``created_at`` and ``updated_at`` columns on record modification.
Disable if you plan to bring your own update mechanism for these columns"""
bind_key: "Union[str, None]" = None
"""Bind key to register a metadata to a specific engine configuration."""
_SESSION_SCOPE_KEY_REGISTRY: "ClassVar[set[str]]" = field(init=False, default=cast("set[str]", set()))
"""Internal counter for ensuring unique identification of session scope keys in the class."""
_ENGINE_APP_STATE_KEY_REGISTRY: "ClassVar[set[str]]" = field(init=False, default=cast("set[str]", set()))
"""Internal counter for ensuring unique identification of engine app state keys in the class."""
_SESSIONMAKER_APP_STATE_KEY_REGISTRY: "ClassVar[set[str]]" = field(init=False, default=cast("set[str]", set()))
"""Internal counter for ensuring unique identification of sessionmaker state keys in the class."""
def __post_init__(self) -> None:
if self.connection_string is not None and self.engine_instance is not None:
msg = "Only one of 'connection_string' or 'engine_instance' can be provided."
raise ImproperConfigurationError(msg)
if self.metadata is None:
self.metadata = metadata_registry.get(self.bind_key)
else:
metadata_registry.set(self.bind_key, self.metadata)
if self.enable_touch_updated_timestamp_listener:
from sqlalchemy import event
from sqlalchemy.orm import Session
from advanced_alchemy._listeners import touch_updated_timestamp
event.listen(Session, "before_flush", touch_updated_timestamp)
def __hash__(self) -> int: # pragma: no cover
return hash(
(
self.__class__.__qualname__,
self.connection_string,
self.engine_config.__class__.__qualname__,
self.bind_key,
)
)
def __eq__(self, other: object) -> bool:
return self.__hash__() == other.__hash__()
@property
def engine_config_dict(self) -> dict[str, Any]:
"""Return the engine configuration as a dict.
Returns:
A string keyed dict of config kwargs for the SQLAlchemy :func:`sqlalchemy.get_engine`
function.
"""
return simple_asdict(self.engine_config, exclude_empty=True)
@property
def session_config_dict(self) -> dict[str, Any]:
"""Return the session configuration as a dict.
Returns:
A string keyed dict of config kwargs for the SQLAlchemy :class:`sqlalchemy.orm.sessionmaker`
class.
"""
return simple_asdict(self.session_config, exclude_empty=True)
def get_engine(self) -> EngineT:
"""Return an engine. If none exists yet, create one.
Returns:
:class:`sqlalchemy.Engine` or :class:`sqlalchemy.ext.asyncio.AsyncEngine` instance used by the plugin.
"""
if self.engine_instance:
return self.engine_instance
if self.connection_string is None:
msg = "One of 'connection_string' or 'engine_instance' must be provided."
raise ImproperConfigurationError(msg)
engine_config = self.engine_config_dict
try:
return self.create_engine_callable(self.connection_string, **engine_config)
except TypeError:
# likely due to a dialect that doesn't support json type
del engine_config["json_deserializer"]
del engine_config["json_serializer"]
return self.create_engine_callable(self.connection_string, **engine_config)
def create_session_maker(self) -> "Callable[[], SessionT]": # pragma: no cover
"""Get a session maker. If none exists yet, create one.
Returns:
:class:`sqlalchemy.orm.sessionmaker` or :class:`sqlalchemy.ext.asyncio.async_sessionmaker` factory used by the plugin.
"""
if self.session_maker:
return self.session_maker
session_kws = self.session_config_dict
if session_kws.get("bind") is None:
session_kws["bind"] = self.get_engine()
return cast("Callable[[], SessionT]", self.session_maker_class(**session_kws))
@dataclass
class GenericAlembicConfig:
"""Configuration for Alembic's :class:`Config `.
For details see: https://alembic.sqlalchemy.org/en/latest/api/config.html
"""
script_config: str = "alembic.ini"
"""A path to the Alembic configuration file such as ``alembic.ini``. If left unset, the default configuration
will be used.
"""
version_table_name: str = "alembic_versions"
"""Configure the name of the table used to hold the applied alembic revisions.
Defaults to ``alembic_versions``.
"""
version_table_schema: "Optional[str]" = None
"""Configure the schema to use for the alembic revisions revisions.
If unset, it defaults to connection's default schema."""
script_location: str = "migrations"
"""A path to save generated migrations.
"""
user_module_prefix: "Optional[str]" = "sa."
"""User module prefix."""
render_as_batch: bool = True
"""Render as batch."""
compare_type: bool = False
"""Compare type."""
template_path: str = ALEMBIC_TEMPLATE_PATH
"""Template path."""
python-advanced-alchemy-0.34.0/advanced_alchemy/config/engine.py 0000664 0000000 0000000 00000026131 14763441450 0024650 0 ustar 00root root 0000000 0000000 from dataclasses import dataclass
from typing import TYPE_CHECKING, Callable, Literal, Union
from advanced_alchemy._serialization import decode_json, encode_json
from advanced_alchemy.utils.dataclass import Empty
if TYPE_CHECKING:
from collections.abc import Mapping
from typing import Any
from sqlalchemy.engine.interfaces import IsolationLevel
from sqlalchemy.pool import Pool
from typing_extensions import TypeAlias
from advanced_alchemy.utils.dataclass import EmptyType
_EchoFlagType: "TypeAlias" = 'Union[None, bool, Literal["debug"]]'
_ParamStyle = Literal["qmark", "numeric", "named", "format", "pyformat", "numeric_dollar"]
__all__ = ("EngineConfig",)
@dataclass
class EngineConfig:
"""Configuration for SQLAlchemy's Engine.
This class provides configuration options for SQLAlchemy engine creation.
See: https://docs.sqlalchemy.org/en/20/core/engines.html
"""
connect_args: "Union[dict[Any, Any], EmptyType]" = Empty
"""A dictionary of arguments which will be passed directly to the DBAPI's ``connect()`` method as keyword arguments.
"""
echo: "Union[_EchoFlagType, EmptyType]" = Empty
"""If ``True``, the Engine will log all statements as well as a ``repr()`` of their parameter lists to the default
log handler, which defaults to ``sys.stdout`` for output. If set to the string "debug", result rows will be printed
to the standard output as well. The echo attribute of Engine can be modified at any time to turn logging on and off;
direct control of logging is also available using the standard Python logging module.
"""
echo_pool: "Union[_EchoFlagType, EmptyType]" = Empty
"""If ``True``, the connection pool will log informational output such as when connections are invalidated as well
as when connections are recycled to the default log handler, which defaults to sys.stdout for output. If set to the
string "debug", the logging will include pool checkouts and checkins. Direct control of logging is also available
using the standard Python logging module."""
enable_from_linting: "Union[bool, EmptyType]" = Empty
"""Defaults to True. Will emit a warning if a given SELECT statement is found to have un-linked FROM elements which
would cause a cartesian product."""
execution_options: "Union[Mapping[str, Any], EmptyType]" = Empty
"""Dictionary execution options which will be applied to all connections. See
:attr:`Connection.execution_options() ` for details."""
hide_parameters: "Union[bool, EmptyType]" = Empty
"""Boolean, when set to ``True``, SQL statement parameters will not be displayed in INFO logging nor will they be
formatted into the string representation of :class:`StatementError ` objects."""
insertmanyvalues_page_size: "Union[int, EmptyType]" = Empty
"""Number of rows to format into an INSERT statement when the statement uses โinsertmanyvaluesโ mode, which is a
paged form of bulk insert that is used for many backends when using executemany execution typically in conjunction
with RETURNING. Defaults to 1000, but may also be subject to dialect-specific limiting factors which may override
this value on a per-statement basis."""
isolation_level: "Union[IsolationLevel, EmptyType]" = Empty
"""Optional string name of an isolation level which will be set on all new connections unconditionally. Isolation
levels are typically some subset of the string names "SERIALIZABLE", "REPEATABLE READ", "READ COMMITTED",
"READ UNCOMMITTED" and "AUTOCOMMIT" based on backend."""
json_deserializer: "Callable[[str], Any]" = decode_json
"""For dialects that support the :class:`JSON ` datatype, this is a Python callable that will
convert a JSON string to a Python object. By default, this is set to Litestar's
:attr:`decode_json() <.serialization.decode_json>` function."""
json_serializer: "Callable[[Any], str]" = encode_json
"""For dialects that support the JSON datatype, this is a Python callable that will render a given object as JSON.
By default, Litestar's :attr:`encode_json() <.serialization.encode_json>` is used."""
label_length: "Union[int, None, EmptyType]" = Empty
"""Optional integer value which limits the size of dynamically generated column labels to that many characters. If
less than 6, labels are generated as โ_(counter)โ. If ``None``, the value of ``dialect.max_identifier_length``,
which may be affected via the
:attr:`get_engine.max_identifier_length parameter `, is
used instead. The value of
:attr:`get_engine.label_length ` may not be larger than that of
:attr:`get_engine.max_identifier_length `."""
logging_name: "Union[str, EmptyType]" = Empty
"""String identifier which will be used within the โnameโ field of logging records generated within the
โsqlalchemy.engineโ logger. Defaults to a hexstring of the object`s id."""
max_identifier_length: "Union[int, None, EmptyType]" = Empty
"""Override the max_identifier_length determined by the dialect. if ``None`` or ``0``, has no effect. This is the
database`s configured maximum number of characters that may be used in a SQL identifier such as a table name, column
name, or label name. All dialects determine this value automatically, however in the case of a new database version
for which this value has changed but SQLAlchemy`s dialect has not been adjusted, the value may be passed here."""
max_overflow: "Union[int, EmptyType]" = Empty
"""The number of connections to allow in connection pool โoverflowโ, that is connections that can be opened above
and beyond the pool_size setting, which defaults to five. This is only used with
:class:`QueuePool `."""
module: "Union[Any, None, EmptyType]" = Empty
"""Reference to a Python module object (the module itself, not its string name). Specifies an alternate DBAPI module
to be used by the engine`s dialect. Each sub-dialect references a specific DBAPI which will be imported before first
connect. This parameter causes the import to be bypassed, and the given module to be used instead. Can be used for
testing of DBAPIs as well as to inject โmockโ DBAPI implementations into the
:class:`Engine `."""
paramstyle: "Union[_ParamStyle, None, EmptyType]" = Empty
"""The paramstyle to use when rendering bound parameters. This style defaults to the one recommended by the DBAPI
itself, which is retrieved from the ``.paramstyle`` attribute of the DBAPI. However, most DBAPIs accept more than
one paramstyle, and in particular it may be desirable to change a โnamedโ paramstyle into a โpositionalโ one, or
vice versa. When this attribute is passed, it should be one of the values "qmark", "numeric", "named", "format" or
"pyformat", and should correspond to a parameter style known to be supported by the DBAPI in use."""
pool: "Union[Pool, None, EmptyType]" = Empty
"""An already-constructed instance of :class:`Pool `, such as a
:class:`QueuePool ` instance. If non-None, this pool will be used directly as the
underlying connection pool for the engine, bypassing whatever connection parameters are present in the URL argument.
For information on constructing connection pools manually, see
`Connection Pooling `_."""
poolclass: "Union[type[Pool], None, EmptyType]" = Empty
"""A :class:`Pool ` subclass, which will be used to create a connection pool instance using
the connection parameters given in the URL. Note this differs from pool in that you don`t actually instantiate the
pool in this case, you just indicate what type of pool to be used."""
pool_logging_name: "Union[str, EmptyType]" = Empty
"""String identifier which will be used within the โnameโ field of logging records generated within the
โsqlalchemy.poolโ logger. Defaults to a hexstring of the object`s id."""
pool_pre_ping: "Union[bool, EmptyType]" = Empty
"""If True will enable the connection pool โpre-pingโ feature that tests connections for liveness upon each
checkout."""
pool_size: "Union[int, EmptyType]" = Empty
"""The number of connections to keep open inside the connection pool. This used with
:class:`QueuePool ` as well as
:class:`SingletonThreadPool `. With
:class:`QueuePool `, a pool_size setting of ``0`` indicates no limit; to disable pooling,
set ``poolclass`` to :class:`NullPool ` instead."""
pool_recycle: "Union[int, EmptyType]" = Empty
"""This setting causes the pool to recycle connections after the given number of seconds has passed. It defaults to
``-1``, or no timeout. For example, setting to ``3600`` means connections will be recycled after one hour. Note that
MySQL in particular will disconnect automatically if no activity is detected on a connection for eight hours
(although this is configurable with the MySQLDB connection itself and the server configuration as well)."""
pool_reset_on_return: 'Union[Literal["rollback", "commit"], EmptyType]' = Empty
"""Set the :attr:`Pool.reset_on_return ` object, which can be set to the values ``"rollback"``, ``"commit"``, or
``None``."""
pool_timeout: "Union[int, EmptyType]" = Empty
"""Number of seconds to wait before giving up on getting a connection from the pool. This is only used with
:class:`QueuePool `. This can be a float but is subject to the limitations of Python time
functions which may not be reliable in the tens of milliseconds."""
pool_use_lifo: "Union[bool, EmptyType]" = Empty
"""Use LIFO (last-in-first-out) when retrieving connections from :class:`QueuePool `
instead of FIFO (first-in-first-out). Using LIFO, a server-side timeout scheme can reduce the number of connections
used during non-peak periods of use. When planning for server-side timeouts, ensure that a recycle or pre-ping
strategy is in use to gracefully handle stale connections."""
plugins: "Union[list[str], EmptyType]" = Empty
"""String list of plugin names to load. See :class:`CreateEnginePlugin ` for
background."""
query_cache_size: "Union[int, EmptyType]" = Empty
"""Size of the cache used to cache the SQL string form of queries. Set to zero to disable caching.
See :attr:`query_cache_size ` for more info.
"""
use_insertmanyvalues: "Union[bool, EmptyType]" = Empty
"""``True`` by default, use the โinsertmanyvaluesโ execution style for INSERT..RETURNING statements by default."""
python-advanced-alchemy-0.34.0/advanced_alchemy/config/sync.py 0000664 0000000 0000000 00000005156 14763441450 0024363 0 ustar 00root root 0000000 0000000 """Sync SQLAlchemy configuration module."""
from contextlib import contextmanager
from dataclasses import dataclass, field
from typing import TYPE_CHECKING
from sqlalchemy import Connection, Engine, create_engine
from sqlalchemy.orm import Session, sessionmaker
from advanced_alchemy.config.common import GenericAlembicConfig, GenericSessionConfig, GenericSQLAlchemyConfig
if TYPE_CHECKING:
from collections.abc import Generator
from typing import Callable
__all__ = (
"AlembicSyncConfig",
"SQLAlchemySyncConfig",
"SyncSessionConfig",
)
@dataclass
class SyncSessionConfig(GenericSessionConfig[Connection, Engine, Session]):
"""Configuration for synchronous SQLAlchemy sessions."""
@dataclass
class AlembicSyncConfig(GenericAlembicConfig):
"""Configuration for Alembic's synchronous migrations.
For details see: https://alembic.sqlalchemy.org/en/latest/api/config.html
"""
@dataclass
class SQLAlchemySyncConfig(GenericSQLAlchemyConfig[Engine, Session, sessionmaker[Session]]):
"""Synchronous SQLAlchemy Configuration.
Note:
The alembic configuration options are documented in the Alembic documentation.
"""
create_engine_callable: "Callable[[str], Engine]" = create_engine
"""Callable that creates an :class:`Engine ` instance or instance of its subclass."""
session_config: SyncSessionConfig = field(default_factory=SyncSessionConfig) # pyright: ignore[reportIncompatibleVariableOverride]
"""Configuration options for the :class:`sessionmaker`."""
session_maker_class: type[sessionmaker[Session]] = sessionmaker # pyright: ignore[reportIncompatibleVariableOverride]
"""Sessionmaker class to use."""
alembic_config: AlembicSyncConfig = field(default_factory=AlembicSyncConfig)
"""Configuration for the SQLAlchemy Alembic migrations.
The configuration options are documented in the Alembic documentation.
"""
def __hash__(self) -> int:
return super().__hash__()
def __eq__(self, other: object) -> bool:
return super().__eq__(other)
@contextmanager
def get_session(self) -> "Generator[Session, None, None]":
"""Get a session context manager.
Yields:
Generator[sqlalchemy.orm.Session, None, None]: A context manager yielding an active SQLAlchemy Session.
Examples:
Using the session context manager:
>>> with config.get_session() as session:
... session.execute(...)
"""
session_maker = self.create_session_maker()
with session_maker() as session:
yield session
python-advanced-alchemy-0.34.0/advanced_alchemy/config/types.py 0000664 0000000 0000000 00000001475 14763441450 0024553 0 ustar 00root root 0000000 0000000 """Type aliases and constants used in the package config."""
from collections.abc import Mapping, Sequence
from typing import Any, Callable, Literal
from typing_extensions import TypeAlias
TypeEncodersMap: TypeAlias = Mapping[Any, Callable[[Any], Any]]
"""Type alias for a mapping of type encoders.
Maps types to their encoder functions.
"""
TypeDecodersSequence: TypeAlias = Sequence[tuple[Callable[[Any], bool], Callable[[Any, Any], Any]]]
"""Type alias for a sequence of type decoders.
Each tuple contains a type check predicate and its corresponding decoder function.
"""
CommitStrategy: TypeAlias = Literal["always", "match_status"]
"""Commit strategy for SQLAlchemy sessions.
Values:
always: Always commit the session after operations
match_status: Only commit if the HTTP status code indicates success
"""
python-advanced-alchemy-0.34.0/advanced_alchemy/exceptions.py 0000664 0000000 0000000 00000030571 14763441450 0024322 0 ustar 00root root 0000000 0000000 import re
from collections.abc import Generator
from contextlib import contextmanager
from typing import Any, Callable, Optional, TypedDict, Union, cast
from sqlalchemy.exc import IntegrityError as SQLAlchemyIntegrityError
from sqlalchemy.exc import InvalidRequestError as SQLAlchemyInvalidRequestError
from sqlalchemy.exc import MultipleResultsFound, SQLAlchemyError, StatementError
from advanced_alchemy.utils.deprecation import deprecated
__all__ = (
"AdvancedAlchemyError",
"ConflictError",
"DuplicateKeyError",
"ErrorMessages",
"ForeignKeyError",
"ImproperConfigurationError",
"IntegrityError",
"MissingDependencyError",
"MultipleResultsFoundError",
"NotFoundError",
"RepositoryError",
"SerializationError",
"wrap_sqlalchemy_exception",
)
DUPLICATE_KEY_REGEXES = {
"postgresql": [
re.compile(
r"^.*duplicate\s+key.*\"(?P[^\"]+)\"\s*\n.*Key\s+\((?P.*)\)=\((?P.*)\)\s+already\s+exists.*$",
),
re.compile(r"^.*duplicate\s+key.*\"(?P[^\"]+)\"\s*\n.*$"),
],
"sqlite": [
re.compile(r"^.*columns?(?P[^)]+)(is|are)\s+not\s+unique$"),
re.compile(r"^.*UNIQUE\s+constraint\s+failed:\s+(?P.+)$"),
re.compile(r"^.*PRIMARY\s+KEY\s+must\s+be\s+unique.*$"),
],
"mysql": [
re.compile(r"^.*\b1062\b.*Duplicate entry '(?P.*)' for key '(?P[^']+)'.*$"),
re.compile(r"^.*\b1062\b.*Duplicate entry \\'(?P.*)\\' for key \\'(?P.+)\\'.*$"),
],
"oracle": [],
"spanner+spanner": [],
"duckdb": [],
"mssql": [],
"bigquery": [],
"cockroach": [],
}
FOREIGN_KEY_REGEXES = {
"postgresql": [
re.compile(
r".*on table \"(?P
.+)\" violates check constraint (?P.+)"),
],
"sqlite": [],
"mysql": [],
"oracle": [],
"spanner+spanner": [],
"duckdb": [],
"mssql": [],
"bigquery": [],
"cockroach": [],
}
class AdvancedAlchemyError(Exception):
"""Base exception class from which all Advanced Alchemy exceptions inherit."""
detail: str
def __init__(self, *args: Any, detail: str = "") -> None:
"""Initialize ``AdvancedAlchemyException``.
Args:
*args: args are converted to :class:`str` before passing to :class:`Exception`
detail: detail of the exception.
"""
str_args = [str(arg) for arg in args if arg]
if not detail:
if str_args:
detail, *str_args = str_args
elif hasattr(self, "detail"):
detail = self.detail
self.detail = detail
super().__init__(*str_args)
def __repr__(self) -> str:
if self.detail:
return f"{self.__class__.__name__} - {self.detail}"
return self.__class__.__name__
def __str__(self) -> str:
return " ".join((*self.args, self.detail)).strip()
class MissingDependencyError(AdvancedAlchemyError, ImportError):
"""Missing optional dependency.
This exception is raised when a module depends on a dependency that has not been installed.
Args:
package: Name of the missing package.
install_package: Optional alternative package name to install.
"""
def __init__(self, package: str, install_package: Optional[str] = None) -> None:
super().__init__(
f"Package {package!r} is not installed but required. You can install it by running "
f"'pip install advanced_alchemy[{install_package or package}]' to install advanced_alchemy with the required extra "
f"or 'pip install {install_package or package}' to install the package separately",
)
class ImproperConfigurationError(AdvancedAlchemyError):
"""Improper Configuration error.
This exception is raised when there is an issue with the configuration of a module.
Args:
*args: Variable length argument list passed to parent class.
detail: Detailed error message.
"""
class SerializationError(AdvancedAlchemyError):
"""Encoding or decoding error.
This exception is raised when serialization or deserialization of an object fails.
Args:
*args: Variable length argument list passed to parent class.
detail: Detailed error message.
"""
class RepositoryError(AdvancedAlchemyError):
"""Base repository exception type.
Args:
*args: Variable length argument list passed to parent class.
detail: Detailed error message.
"""
class ConflictError(RepositoryError):
"""Data integrity error.
Args:
*args: Variable length argument list passed to parent class.
detail: Detailed error message.
Note:
This class is deprecated in favor of :class:`advanced_alchemy.exceptions.IntegrityError`.
"""
@deprecated(
version="0.7.1",
alternative="advanced_alchemy.exceptions.IntegrityError",
kind="method",
removal_in="1.0.0",
info="`ConflictError` has been renamed to `IntegrityError`",
)
def __init__(self, *args: Any, detail: str = "") -> None:
super().__init__(*args, detail=detail)
class IntegrityError(RepositoryError):
"""Data integrity error.
Args:
*args: Variable length argument list passed to parent class.
detail: Detailed error message.
"""
class DuplicateKeyError(IntegrityError):
"""Duplicate key error.
Args:
*args: Variable length argument list passed to parent class.
detail: Detailed error message.
"""
class ForeignKeyError(IntegrityError):
"""Foreign key error.
Args:
*args: Variable length argument list passed to parent class.
detail: Detailed error message.
"""
class NotFoundError(RepositoryError):
"""Not found error.
This exception is raised when a requested resource is not found.
Args:
*args: Variable length argument list passed to parent class.
detail: Detailed error message.
"""
class MultipleResultsFoundError(RepositoryError):
"""Multiple results found error.
This exception is raised when a single result was expected but multiple were found.
Args:
*args: Variable length argument list passed to parent class.
detail: Detailed error message.
"""
class InvalidRequestError(RepositoryError):
"""Invalid request error.
This exception is raised when SQLAlchemy is unable to complete the request due to a runtime error
Args:
*args: Variable length argument list passed to parent class.
detail: Detailed error message.
"""
class ErrorMessages(TypedDict, total=False):
duplicate_key: Union[str, Callable[[Exception], str]]
integrity: Union[str, Callable[[Exception], str]]
foreign_key: Union[str, Callable[[Exception], str]]
multiple_rows: Union[str, Callable[[Exception], str]]
check_constraint: Union[str, Callable[[Exception], str]]
other: Union[str, Callable[[Exception], str]]
not_found: Union[str, Callable[[Exception], str]]
def _get_error_message(error_messages: ErrorMessages, key: str, exc: Exception) -> str:
template: Union[str, Callable[[Exception], str]] = error_messages.get(key, f"{key} error: {exc}") # type: ignore[assignment]
if callable(template): # pyright: ignore[reportUnknownArgumentType]
template = template(exc) # pyright: ignore[reportUnknownVariableType]
return template # pyright: ignore[reportUnknownVariableType]
@contextmanager
def wrap_sqlalchemy_exception( # noqa: C901, PLR0915
error_messages: Optional[ErrorMessages] = None,
dialect_name: Optional[str] = None,
wrap_exceptions: bool = True,
) -> Generator[None, None, None]:
"""Do something within context to raise a ``RepositoryError`` chained
from an original ``SQLAlchemyError``.
Args:
error_messages: Error messages to use for the exception.
dialect_name: The name of the dialect to use for the exception.
wrap_exceptions: Wrap SQLAlchemy exceptions in a ``RepositoryError``. When set to ``False``, the original exception will be raised.
>>> try:
... with wrap_sqlalchemy_exception():
... raise SQLAlchemyError("Original Exception")
... except RepositoryError as exc:
... print(
... f"caught repository exception from {type(exc.__context__)}"
... )
caught repository exception from
"""
try:
yield
except NotFoundError as exc:
if wrap_exceptions is False:
raise
if error_messages is not None:
msg = _get_error_message(error_messages=error_messages, key="not_found", exc=exc)
else:
msg = "No rows matched the specified data"
raise NotFoundError(detail=msg) from exc
except MultipleResultsFound as exc:
if wrap_exceptions is False:
raise
if error_messages is not None:
msg = _get_error_message(error_messages=error_messages, key="multiple_rows", exc=exc)
else:
msg = "Multiple rows matched the specified data"
raise MultipleResultsFoundError(detail=msg) from exc
except SQLAlchemyIntegrityError as exc:
if wrap_exceptions is False:
raise
if error_messages is not None and dialect_name is not None:
_keys_to_regex = {
"duplicate_key": (DUPLICATE_KEY_REGEXES.get(dialect_name, []), DuplicateKeyError),
"check_constraint": (CHECK_CONSTRAINT_REGEXES.get(dialect_name, []), IntegrityError),
"foreign_key": (FOREIGN_KEY_REGEXES.get(dialect_name, []), ForeignKeyError),
}
detail = " - ".join(str(exc_arg) for exc_arg in exc.orig.args) if exc.orig.args else "" # type: ignore[union-attr] # pyright: ignore[reportArgumentType,reportOptionalMemberAccess]
for key, (regexes, exception) in _keys_to_regex.items():
for regex in regexes:
if (match := regex.findall(detail)) and match[0]:
raise exception(
detail=_get_error_message(error_messages=error_messages, key=key, exc=exc),
) from exc
raise IntegrityError(
detail=_get_error_message(error_messages=error_messages, key="integrity", exc=exc),
) from exc
raise IntegrityError(detail=f"An integrity error occurred: {exc}") from exc
except SQLAlchemyInvalidRequestError as exc:
if wrap_exceptions is False:
raise
raise InvalidRequestError(detail="An invalid request was made.") from exc
except StatementError as exc:
if wrap_exceptions is False:
raise
raise IntegrityError(
detail=cast(str, getattr(exc.orig, "detail", "There was an issue processing the statement."))
) from exc
except SQLAlchemyError as exc:
if wrap_exceptions is False:
raise
if error_messages is not None:
msg = _get_error_message(error_messages=error_messages, key="other", exc=exc)
else:
msg = f"An exception occurred: {exc}"
raise RepositoryError(detail=msg) from exc
except AttributeError as exc:
if wrap_exceptions is False:
raise
if error_messages is not None:
msg = _get_error_message(error_messages=error_messages, key="other", exc=exc)
else:
msg = f"An attribute error occurred during processing: {exc}"
raise RepositoryError(detail=msg) from exc
python-advanced-alchemy-0.34.0/advanced_alchemy/extensions/ 0000775 0000000 0000000 00000000000 14763441450 0023760 5 ustar 00root root 0000000 0000000 python-advanced-alchemy-0.34.0/advanced_alchemy/extensions/__init__.py 0000664 0000000 0000000 00000000000 14763441450 0026057 0 ustar 00root root 0000000 0000000 python-advanced-alchemy-0.34.0/advanced_alchemy/extensions/fastapi/ 0000775 0000000 0000000 00000000000 14763441450 0025407 5 ustar 00root root 0000000 0000000 python-advanced-alchemy-0.34.0/advanced_alchemy/extensions/fastapi/__init__.py 0000664 0000000 0000000 00000002254 14763441450 0027523 0 ustar 00root root 0000000 0000000 """FastAPI extension for Advanced Alchemy.
This module provides FastAPI integration for Advanced Alchemy, including session management,
database migrations, and service utilities.
"""
from advanced_alchemy import base, exceptions, filters, mixins, operations, repository, service, types, utils
from advanced_alchemy.alembic.commands import AlembicCommands
from advanced_alchemy.config import AlembicAsyncConfig, AlembicSyncConfig, AsyncSessionConfig, SyncSessionConfig
from advanced_alchemy.extensions.fastapi.cli import get_database_migration_plugin
from advanced_alchemy.extensions.fastapi.config import EngineConfig, SQLAlchemyAsyncConfig, SQLAlchemySyncConfig
from advanced_alchemy.extensions.fastapi.extension import AdvancedAlchemy, assign_cli_group
__all__ = (
"AdvancedAlchemy",
"AlembicAsyncConfig",
"AlembicCommands",
"AlembicSyncConfig",
"AsyncSessionConfig",
"EngineConfig",
"SQLAlchemyAsyncConfig",
"SQLAlchemySyncConfig",
"SyncSessionConfig",
"assign_cli_group",
"base",
"exceptions",
"filters",
"get_database_migration_plugin",
"mixins",
"operations",
"repository",
"service",
"types",
"utils",
)
python-advanced-alchemy-0.34.0/advanced_alchemy/extensions/fastapi/cli.py 0000664 0000000 0000000 00000002435 14763441450 0026534 0 ustar 00root root 0000000 0000000 from typing import TYPE_CHECKING, Optional, cast
try:
import rich_click as click
except ImportError:
import click # type: ignore[no-redef]
from advanced_alchemy.cli import add_migration_commands
if TYPE_CHECKING:
from fastapi import FastAPI
from advanced_alchemy.extensions.fastapi.extension import AdvancedAlchemy
def get_database_migration_plugin(app: "FastAPI") -> "AdvancedAlchemy": # pragma: no cover
"""Retrieve the Advanced Alchemy extension from a FastAPI application instance."""
from advanced_alchemy.exceptions import ImproperConfigurationError
extension = cast("Optional[AdvancedAlchemy]", getattr(app.state, "advanced_alchemy", None))
if extension is None:
msg = "Failed to initialize database CLI. The Advanced Alchemy extension is not properly configured."
raise ImproperConfigurationError(msg)
return extension
def register_database_commands(app: "FastAPI") -> click.Group: # pragma: no cover
@click.group(name="database")
@click.pass_context
def database_group(ctx: click.Context) -> None:
"""Manage SQLAlchemy database components."""
ctx.ensure_object(dict)
ctx.obj["configs"] = get_database_migration_plugin(app).config
add_migration_commands(database_group)
return database_group
python-advanced-alchemy-0.34.0/advanced_alchemy/extensions/fastapi/config.py 0000664 0000000 0000000 00000000310 14763441450 0027220 0 ustar 00root root 0000000 0000000 from advanced_alchemy.extensions.starlette import EngineConfig, SQLAlchemyAsyncConfig, SQLAlchemySyncConfig
__all__ = (
"EngineConfig",
"SQLAlchemyAsyncConfig",
"SQLAlchemySyncConfig",
)
python-advanced-alchemy-0.34.0/advanced_alchemy/extensions/fastapi/extension.py 0000664 0000000 0000000 00000002743 14763441450 0030003 0 ustar 00root root 0000000 0000000 from typing import TYPE_CHECKING, Optional, Union
from advanced_alchemy.extensions.fastapi.cli import register_database_commands
from advanced_alchemy.extensions.starlette import AdvancedAlchemy as StarletteAdvancedAlchemy
if TYPE_CHECKING:
from collections.abc import Sequence
from fastapi import FastAPI
from advanced_alchemy.extensions.fastapi.config import SQLAlchemyAsyncConfig, SQLAlchemySyncConfig
__all__ = ("AdvancedAlchemy",)
def assign_cli_group(app: "FastAPI") -> None: # pragma: no cover
try:
from fastapi_cli.cli import app as fastapi_cli_app # pyright: ignore[reportUnknownVariableType]
from typer.main import get_group
except ImportError:
print("FastAPI CLI is not installed. Skipping CLI registration.") # noqa: T201
return
click_app = get_group(fastapi_cli_app) # pyright: ignore[reportUnknownArgumentType]
click_app.add_command(register_database_commands(app))
class AdvancedAlchemy(StarletteAdvancedAlchemy):
"""AdvancedAlchemy integration for FastAPI applications.
This class manages SQLAlchemy sessions and engine lifecycle within a FastAPI application.
It provides middleware for handling transactions based on commit strategies.
"""
def __init__(
self,
config: "Union[SQLAlchemyAsyncConfig, SQLAlchemySyncConfig, Sequence[Union[SQLAlchemyAsyncConfig, SQLAlchemySyncConfig]]]",
app: "Optional[FastAPI]" = None,
) -> None:
super().__init__(config, app)
python-advanced-alchemy-0.34.0/advanced_alchemy/extensions/flask/ 0000775 0000000 0000000 00000000000 14763441450 0025060 5 ustar 00root root 0000000 0000000 python-advanced-alchemy-0.34.0/advanced_alchemy/extensions/flask/__init__.py 0000664 0000000 0000000 00000002326 14763441450 0027174 0 ustar 00root root 0000000 0000000 """Flask extension for Advanced Alchemy.
This module provides Flask integration for Advanced Alchemy, including session management,
database migrations, and service utilities.
"""
from advanced_alchemy import base, exceptions, filters, mixins, operations, repository, service, types, utils
from advanced_alchemy.alembic.commands import AlembicCommands
from advanced_alchemy.config import AlembicAsyncConfig, AlembicSyncConfig, AsyncSessionConfig, SyncSessionConfig
from advanced_alchemy.extensions.flask.cli import get_database_migration_plugin
from advanced_alchemy.extensions.flask.config import EngineConfig, SQLAlchemyAsyncConfig, SQLAlchemySyncConfig
from advanced_alchemy.extensions.flask.extension import AdvancedAlchemy
from advanced_alchemy.extensions.flask.utils import FlaskServiceMixin
__all__ = (
"AdvancedAlchemy",
"AlembicAsyncConfig",
"AlembicCommands",
"AlembicSyncConfig",
"AsyncSessionConfig",
"EngineConfig",
"FlaskServiceMixin",
"SQLAlchemyAsyncConfig",
"SQLAlchemySyncConfig",
"SyncSessionConfig",
"base",
"exceptions",
"filters",
"get_database_migration_plugin",
"mixins",
"operations",
"repository",
"service",
"types",
"utils",
)
python-advanced-alchemy-0.34.0/advanced_alchemy/extensions/flask/cli.py 0000664 0000000 0000000 00000003245 14763441450 0026205 0 ustar 00root root 0000000 0000000 """Command-line interface utilities for Flask integration.
This module provides CLI commands for database management in Flask applications.
"""
from contextlib import suppress
from typing import TYPE_CHECKING, cast
from flask.cli import with_appcontext
from advanced_alchemy.cli import add_migration_commands
try:
import rich_click as click
except ImportError:
import click # type: ignore[no-redef]
if TYPE_CHECKING:
from flask import Flask
from advanced_alchemy.extensions.flask.extension import AdvancedAlchemy
def get_database_migration_plugin(app: "Flask") -> "AdvancedAlchemy":
"""Retrieve the Advanced Alchemy extension from the Flask application.
Args:
app: The :class:`flask.Flask` application instance.
Returns:
:class:`AdvancedAlchemy`: The Advanced Alchemy extension instance.
Raises:
:exc:`advanced_alchemy.exceptions.ImproperConfigurationError`: If the extension is not found.
"""
from advanced_alchemy.exceptions import ImproperConfigurationError
with suppress(KeyError):
return cast("AdvancedAlchemy", app.extensions["advanced_alchemy"])
msg = "Failed to initialize database migrations. The Advanced Alchemy extension is not properly configured."
raise ImproperConfigurationError(msg)
@click.group(name="database")
@with_appcontext
def database_group() -> None:
"""Manage SQLAlchemy database components.
This command group provides database management commands like migrations.
"""
ctx = click.get_current_context()
app = ctx.obj.load_app()
ctx.obj = {"app": app, "configs": get_database_migration_plugin(app).config}
add_migration_commands(database_group)
python-advanced-alchemy-0.34.0/advanced_alchemy/extensions/flask/config.py 0000664 0000000 0000000 00000024601 14763441450 0026702 0 ustar 00root root 0000000 0000000 """Configuration classes for Flask integration.
This module provides configuration classes for integrating SQLAlchemy with Flask applications,
including both synchronous and asynchronous database configurations.
"""
from dataclasses import dataclass
from typing import TYPE_CHECKING, Any, Callable, Optional, TypeVar, Union, cast
from click import echo
from flask import g, has_request_context
from sqlalchemy.exc import OperationalError
from typing_extensions import Literal
from advanced_alchemy._serialization import decode_json, encode_json
from advanced_alchemy.base import metadata_registry
from advanced_alchemy.config import EngineConfig as _EngineConfig
from advanced_alchemy.config.asyncio import SQLAlchemyAsyncConfig as _SQLAlchemyAsyncConfig
from advanced_alchemy.config.sync import SQLAlchemySyncConfig as _SQLAlchemySyncConfig
from advanced_alchemy.exceptions import ImproperConfigurationError
from advanced_alchemy.service import schema_dump
if TYPE_CHECKING:
from flask import Flask, Response
from sqlalchemy.ext.asyncio import AsyncSession
from sqlalchemy.orm import Session
from advanced_alchemy.utils.portals import Portal
__all__ = ("EngineConfig", "SQLAlchemyAsyncConfig", "SQLAlchemySyncConfig")
ConfigT = TypeVar("ConfigT", bound="Union[SQLAlchemySyncConfig, SQLAlchemyAsyncConfig]")
def serializer(value: "Any") -> str:
"""Serialize JSON field values.
Calls the `:func:schema_dump` function to convert the value to a built-in before encoding.
Args:
value: Any JSON serializable value.
Returns:
str: JSON string representation of the value.
"""
return encode_json(schema_dump(value))
@dataclass
class EngineConfig(_EngineConfig):
"""Configuration for SQLAlchemy's Engine.
This class extends the base EngineConfig with Flask-specific JSON serialization options.
For details see: https://docs.sqlalchemy.org/en/20/core/engines.html
Attributes:
json_deserializer: Callable for converting JSON strings to Python objects.
json_serializer: Callable for converting Python objects to JSON strings.
"""
json_deserializer: "Callable[[str], Any]" = decode_json
"""For dialects that support the :class:`~sqlalchemy.types.JSON` datatype, this is a Python callable that will
convert a JSON string to a Python object."""
json_serializer: "Callable[[Any], str]" = serializer
"""For dialects that support the JSON datatype, this is a Python callable that will render a given object as JSON."""
@dataclass
class SQLAlchemySyncConfig(_SQLAlchemySyncConfig):
"""Flask-specific synchronous SQLAlchemy configuration.
Attributes:
app: The Flask application instance.
commit_mode: The commit mode to use for database sessions.
"""
app: "Optional[Flask]" = None
"""The Flask application instance."""
commit_mode: Literal["manual", "autocommit", "autocommit_include_redirect"] = "manual"
"""The commit mode to use for database sessions."""
def create_session_maker(self) -> "Callable[[], Session]":
"""Get a session maker. If none exists yet, create one.
Returns:
Callable[[], Session]: Session factory used by the plugin.
"""
if self.session_maker:
return self.session_maker
session_kws = self.session_config_dict
if self.engine_instance is None:
self.engine_instance = self.get_engine()
if session_kws.get("bind") is None:
session_kws["bind"] = self.engine_instance
self.session_maker = self.session_maker_class(**session_kws)
return self.session_maker
def init_app(self, app: "Flask", portal: "Optional[Portal]" = None) -> None:
"""Initialize the Flask application with this configuration.
Args:
app: The Flask application instance.
portal: The portal to use for thread-safe communication. Unused in synchronous configurations.
"""
self.app = app
self.bind_key = self.bind_key or "default"
if self.create_all:
self.create_all_metadata()
if self.commit_mode != "manual":
self._setup_session_handling(app)
def _setup_session_handling(self, app: "Flask") -> None:
"""Set up the session handling for the Flask application.
Args:
app: The Flask application instance.
"""
@app.after_request
def handle_db_session(response: "Response") -> "Response": # pyright: ignore[reportUnusedFunction]
"""Commit the session if the response meets the commit criteria."""
if not has_request_context():
return response
db_session = cast("Optional[Session]", g.pop(f"advanced_alchemy_session_{self.bind_key}", None))
if db_session is not None:
if (self.commit_mode == "autocommit" and 200 <= response.status_code < 300) or ( # noqa: PLR2004
self.commit_mode == "autocommit_include_redirect" and 200 <= response.status_code < 400 # noqa: PLR2004
):
db_session.commit()
db_session.close()
return response
def close_engines(self, portal: "Portal") -> None:
"""Close the engines.
Args:
portal: The portal to use for thread-safe communication.
"""
if self.engine_instance is not None:
self.engine_instance.dispose()
def create_all_metadata(self) -> None: # pragma: no cover
"""Create all metadata tables in the database."""
if self.engine_instance is None:
self.engine_instance = self.get_engine()
with self.engine_instance.begin() as conn:
try:
metadata_registry.get(None if self.bind_key == "default" else self.bind_key).create_all(conn)
except OperationalError as exc:
echo(f" * Could not create target metadata. Reason: {exc}")
else:
echo(" * Created target metadata.")
@dataclass
class SQLAlchemyAsyncConfig(_SQLAlchemyAsyncConfig):
"""Flask-specific asynchronous SQLAlchemy configuration.
Attributes:
app: The Flask application instance.
commit_mode: The commit mode to use for database sessions.
"""
app: "Optional[Flask]" = None
"""The Flask application instance."""
commit_mode: Literal["manual", "autocommit", "autocommit_include_redirect"] = "manual"
"""The commit mode to use for database sessions."""
def create_session_maker(self) -> "Callable[[], AsyncSession]":
"""Get a session maker. If none exists yet, create one.
Returns:
Callable[[], AsyncSession]: Session factory used by the plugin.
"""
if self.session_maker:
return self.session_maker
session_kws = self.session_config_dict
if self.engine_instance is None:
self.engine_instance = self.get_engine()
if session_kws.get("bind") is None:
session_kws["bind"] = self.engine_instance
self.session_maker = self.session_maker_class(**session_kws)
return self.session_maker
def init_app(self, app: "Flask", portal: "Optional[Portal]" = None) -> None:
"""Initialize the Flask application with this configuration.
Args:
app: The Flask application instance.
portal: The portal to use for thread-safe communication.
Raises:
ImproperConfigurationError: If portal is not provided for async configuration.
"""
self.app = app
self.bind_key = self.bind_key or "default"
if portal is None:
msg = "Portal is required for asynchronous configurations"
raise ImproperConfigurationError(msg)
if self.create_all:
_ = portal.call(self.create_all_metadata)
self._setup_session_handling(app, portal)
def _setup_session_handling(self, app: "Flask", portal: "Portal") -> None:
"""Set up the session handling for the Flask application.
Args:
app: The Flask application instance.
portal: The portal to use for thread-safe communication.
"""
@app.after_request
def handle_db_session(response: "Response") -> "Response": # pyright: ignore[reportUnusedFunction]
"""Commit the session if the response meets the commit criteria."""
if not has_request_context():
return response
db_session = cast("Optional[AsyncSession]", g.pop(f"advanced_alchemy_session_{self.bind_key}", None))
if db_session is not None:
p = getattr(db_session, "_session_portal", None) or portal
if (self.commit_mode == "autocommit" and 200 <= response.status_code < 300) or ( # noqa: PLR2004
self.commit_mode == "autocommit_include_redirect" and 200 <= response.status_code < 400 # noqa: PLR2004
):
_ = p.call(db_session.commit)
_ = p.call(db_session.close)
return response
@app.teardown_appcontext
def close_db_session(_: "Optional[BaseException]" = None) -> None: # pyright: ignore[reportUnusedFunction]
"""Close the session at the end of the request."""
db_session = cast("Optional[AsyncSession]", g.pop(f"advanced_alchemy_session_{self.bind_key}", None))
if db_session is not None:
p = getattr(db_session, "_session_portal", None) or portal
_ = p.call(db_session.close)
def close_engines(self, portal: "Portal") -> None:
"""Close the engines.
Args:
portal: The portal to use for thread-safe communication.
"""
if self.engine_instance is not None:
_ = portal.call(self.engine_instance.dispose)
async def create_all_metadata(self) -> None: # pragma: no cover
"""Create all metadata tables in the database."""
if self.engine_instance is None:
self.engine_instance = self.get_engine()
async with self.engine_instance.begin() as conn:
try:
await conn.run_sync(
metadata_registry.get(None if self.bind_key == "default" else self.bind_key).create_all
)
await conn.commit()
except OperationalError as exc:
echo(f" * Could not create target metadata. Reason: {exc}")
else:
echo(" * Created target metadata.")
python-advanced-alchemy-0.34.0/advanced_alchemy/extensions/flask/extension.py 0000664 0000000 0000000 00000016303 14763441450 0027451 0 ustar 00root root 0000000 0000000 # ruff: noqa: SLF001, ARG001
"""Flask extension for Advanced Alchemy."""
from collections.abc import Generator, Sequence
from contextlib import contextmanager, suppress
from typing import TYPE_CHECKING, Callable, Optional, Union, cast
from flask import g
from sqlalchemy.ext.asyncio import AsyncSession
from sqlalchemy.orm import Session
from advanced_alchemy.exceptions import ImproperConfigurationError
from advanced_alchemy.extensions.flask.cli import database_group
from advanced_alchemy.extensions.flask.config import SQLAlchemyAsyncConfig, SQLAlchemySyncConfig
from advanced_alchemy.utils.portals import Portal, PortalProvider
if TYPE_CHECKING:
from flask import Flask
class AdvancedAlchemy:
"""Flask extension for Advanced Alchemy."""
__slots__ = (
"_config",
"_has_async_config",
"_session_makers",
"portal_provider",
)
def __init__(
self,
config: "Union[SQLAlchemySyncConfig, SQLAlchemyAsyncConfig, Sequence[Union[SQLAlchemySyncConfig, SQLAlchemyAsyncConfig]]]",
app: "Optional[Flask]" = None,
*,
portal_provider: "Optional[PortalProvider]" = None,
) -> None:
"""Initialize the extension."""
self.portal_provider = portal_provider if portal_provider is not None else PortalProvider()
self._config = config if isinstance(config, Sequence) else [config]
self._has_async_config = any(isinstance(c, SQLAlchemyAsyncConfig) for c in self.config)
self._session_makers: dict[str, Callable[..., Union[AsyncSession, Session]]] = {}
if app is not None:
self.init_app(app)
@property
def portal(self) -> "Portal":
"""Get the portal."""
return self.portal_provider.portal
@property
def config(self) -> "Sequence[Union[SQLAlchemyAsyncConfig, SQLAlchemySyncConfig]]":
"""Get the SQLAlchemy configuration(s)."""
return self._config
@property
def is_async_enabled(self) -> bool:
"""Return True if any of the database configs are async."""
return self._has_async_config
def init_app(self, app: "Flask") -> None:
"""Initialize the Flask application.
Args:
app: The Flask application to initialize.
Raises:
ImproperConfigurationError: If the extension is already registered on the Flask application.
"""
if "advanced_alchemy" in app.extensions:
msg = "Advanced Alchemy extension is already registered on this Flask application."
raise ImproperConfigurationError(msg)
if self._has_async_config:
self.portal_provider.start()
# Create tables for async configs
for cfg in self._config:
if isinstance(cfg, SQLAlchemyAsyncConfig):
self.portal_provider.portal.call(cfg.create_all_metadata)
# Register shutdown handler for the portal
@app.teardown_appcontext
def shutdown_portal(exception: "Optional[BaseException]" = None) -> None: # pyright: ignore[reportUnusedFunction]
"""Stop the portal when the application shuts down."""
if not app.debug: # Don't stop portal in debug mode
with suppress(Exception):
self.portal_provider.stop()
# Initialize each config with the app
for config in self.config:
config.init_app(app, self.portal_provider.portal)
bind_key = config.bind_key if config.bind_key is not None else "default"
session_maker = config.create_session_maker()
self._session_makers[bind_key] = session_maker
# Register session cleanup only
app.teardown_appcontext(self._teardown_appcontext)
app.extensions["advanced_alchemy"] = self
app.cli.add_command(database_group)
def _teardown_appcontext(self, exception: "Optional[BaseException]" = None) -> None:
"""Clean up resources when the application context ends."""
for key in list(g):
if key.startswith("advanced_alchemy_session_"):
session = getattr(g, key)
if isinstance(session, AsyncSession):
# Close async sessions through the portal
with suppress(ImproperConfigurationError):
self.portal_provider.portal.call(session.close)
else:
session.close()
delattr(g, key)
def get_session(self, bind_key: str = "default") -> "Union[AsyncSession, Session]":
"""Get a new session from the configured session factory.
Args:
bind_key: The bind key to use for the session.
Returns:
A new session from the configured session factory.
Raises:
ImproperConfigurationError: If no session maker is found for the bind key.
"""
if bind_key == "default" and len(self.config) == 1:
bind_key = self.config[0].bind_key if self.config[0].bind_key is not None else "default"
session_key = f"advanced_alchemy_session_{bind_key}"
if hasattr(g, session_key):
return cast("Union[AsyncSession, Session]", getattr(g, session_key))
session_maker = self._session_makers.get(bind_key)
if session_maker is None:
msg = f'No session maker found for bind key "{bind_key}"'
raise ImproperConfigurationError(msg)
session = session_maker()
if self._has_async_config:
# Ensure portal is started
if not self.portal_provider.is_running:
self.portal_provider.start()
setattr(session, "_session_portal", self.portal_provider.portal)
setattr(g, session_key, session)
return session
def get_async_session(self, bind_key: str = "default") -> AsyncSession:
"""Get an async session from the configured session factory."""
session = self.get_session(bind_key)
if not isinstance(session, AsyncSession):
msg = f"Expected async session for bind key {bind_key}, but got {type(session)}"
raise ImproperConfigurationError(msg)
return session
def get_sync_session(self, bind_key: str = "default") -> Session:
"""Get a sync session from the configured session factory."""
session = self.get_session(bind_key)
if not isinstance(session, Session):
msg = f"Expected sync session for bind key {bind_key}, but got {type(session)}"
raise ImproperConfigurationError(msg)
return session
@contextmanager
def with_session( # pragma: no cover (more on this later)
self, bind_key: str = "default"
) -> "Generator[Union[AsyncSession, Session], None, None]":
"""Provide a transactional scope around a series of operations.
Args:
bind_key: The bind key to use for the session.
Yields:
A session.
"""
session = self.get_session(bind_key)
try:
yield session
finally:
if isinstance(session, AsyncSession):
with suppress(ImproperConfigurationError):
self.portal_provider.portal.call(session.close)
else:
session.close()
python-advanced-alchemy-0.34.0/advanced_alchemy/extensions/flask/utils.py 0000664 0000000 0000000 00000002245 14763441450 0026575 0 ustar 00root root 0000000 0000000 """Flask-specific service classes.
This module provides Flask-specific service mixins and utilities for integrating
with the Advanced Alchemy service layer.
"""
from typing import Any
from flask import Response, current_app
from advanced_alchemy.extensions.flask.config import serializer
class FlaskServiceMixin:
"""Flask service mixin.
This mixin provides Flask-specific functionality for services.
"""
def jsonify(
self,
data: Any,
*args: Any,
status_code: int = 200,
**kwargs: Any,
) -> Response:
"""Convert data to a Flask JSON response.
Args:
data: Data to serialize to JSON.
*args: Additional positional arguments passed to Flask's response class.
status_code: HTTP status code for the response. Defaults to 200.
**kwargs: Additional keyword arguments passed to Flask's response class.
Returns:
:class:`flask.Response`: A Flask response with JSON content type.
"""
return current_app.response_class(
serializer(data),
status=status_code,
mimetype="application/json",
)
python-advanced-alchemy-0.34.0/advanced_alchemy/extensions/litestar/ 0000775 0000000 0000000 00000000000 14763441450 0025607 5 ustar 00root root 0000000 0000000 python-advanced-alchemy-0.34.0/advanced_alchemy/extensions/litestar/__init__.py 0000664 0000000 0000000 00000005302 14763441450 0027720 0 ustar 00root root 0000000 0000000 from advanced_alchemy import base, exceptions, filters, mixins, operations, repository, service, types, utils
from advanced_alchemy.alembic.commands import AlembicCommands
from advanced_alchemy.config import AlembicAsyncConfig, AlembicSyncConfig, AsyncSessionConfig, SyncSessionConfig
from advanced_alchemy.extensions.litestar import providers
from advanced_alchemy.extensions.litestar.cli import get_database_migration_plugin
from advanced_alchemy.extensions.litestar.dto import SQLAlchemyDTO, SQLAlchemyDTOConfig
from advanced_alchemy.extensions.litestar.plugins import (
EngineConfig,
SQLAlchemyAsyncConfig,
SQLAlchemyInitPlugin,
SQLAlchemyPlugin,
SQLAlchemySerializationPlugin,
SQLAlchemySyncConfig,
)
from advanced_alchemy.extensions.litestar.plugins.init.config.asyncio import (
autocommit_before_send_handler as async_autocommit_before_send_handler,
)
from advanced_alchemy.extensions.litestar.plugins.init.config.asyncio import (
autocommit_handler_maker as async_autocommit_handler_maker,
)
from advanced_alchemy.extensions.litestar.plugins.init.config.asyncio import (
default_before_send_handler as async_default_before_send_handler,
)
from advanced_alchemy.extensions.litestar.plugins.init.config.asyncio import (
default_handler_maker as async_default_handler_maker,
)
from advanced_alchemy.extensions.litestar.plugins.init.config.sync import (
autocommit_before_send_handler as sync_autocommit_before_send_handler,
)
from advanced_alchemy.extensions.litestar.plugins.init.config.sync import (
autocommit_handler_maker as sync_autocommit_handler_maker,
)
from advanced_alchemy.extensions.litestar.plugins.init.config.sync import (
default_before_send_handler as sync_default_before_send_handler,
)
from advanced_alchemy.extensions.litestar.plugins.init.config.sync import (
default_handler_maker as sync_default_handler_maker,
)
__all__ = (
"AlembicAsyncConfig",
"AlembicCommands",
"AlembicSyncConfig",
"AsyncSessionConfig",
"EngineConfig",
"SQLAlchemyAsyncConfig",
"SQLAlchemyDTO",
"SQLAlchemyDTOConfig",
"SQLAlchemyInitPlugin",
"SQLAlchemyPlugin",
"SQLAlchemySerializationPlugin",
"SQLAlchemySyncConfig",
"SyncSessionConfig",
"async_autocommit_before_send_handler",
"async_autocommit_handler_maker",
"async_default_before_send_handler",
"async_default_handler_maker",
"base",
"exceptions",
"filters",
"get_database_migration_plugin",
"mixins",
"operations",
"providers",
"repository",
"service",
"sync_autocommit_before_send_handler",
"sync_autocommit_handler_maker",
"sync_default_before_send_handler",
"sync_default_handler_maker",
"types",
"utils",
)
python-advanced-alchemy-0.34.0/advanced_alchemy/extensions/litestar/_utils.py 0000664 0000000 0000000 00000003637 14763441450 0027471 0 ustar 00root root 0000000 0000000 from typing import TYPE_CHECKING, Any
if TYPE_CHECKING:
from litestar.types import Scope
__all__ = (
"delete_aa_scope_state",
"get_aa_scope_state",
"set_aa_scope_state",
)
_SCOPE_NAMESPACE = "_aa_connection_state"
def get_aa_scope_state(scope: "Scope", key: str, default: Any = None, pop: bool = False) -> Any:
"""Get an internal value from connection scope state.
Note:
If called with a default value, this method behaves like to `dict.set_default()`, both setting the key in the
namespace to the default value, and returning it.
If called without a default value, the method behaves like `dict.get()`, returning ``None`` if the key does not
exist.
Args:
scope: The connection scope.
key: Key to get from internal namespace in scope state.
default: Default value to return.
pop: Boolean flag dictating whether the value should be deleted from the state.
Returns:
Value mapped to ``key`` in internal connection scope namespace.
"""
namespace = scope.setdefault(_SCOPE_NAMESPACE, {}) # type: ignore[misc]
return namespace.pop(key, default) if pop else namespace.get(key, default) # pyright: ignore[reportUnknownVariableType,reportUnknownMemberType]
def set_aa_scope_state(scope: "Scope", key: str, value: Any) -> None:
"""Set an internal value in connection scope state.
Args:
scope: The connection scope.
key: Key to set under internal namespace in scope state.
value: Value for key.
"""
scope.setdefault(_SCOPE_NAMESPACE, {})[key] = value # type: ignore[misc]
def delete_aa_scope_state(scope: "Scope", key: str) -> None:
"""Delete an internal value from connection scope state.
Args:
scope: The connection scope.
key: Key to set under internal namespace in scope state.
"""
del scope.setdefault(_SCOPE_NAMESPACE, {})[key] # type: ignore[misc]
python-advanced-alchemy-0.34.0/advanced_alchemy/extensions/litestar/cli.py 0000664 0000000 0000000 00000002360 14763441450 0026731 0 ustar 00root root 0000000 0000000 from contextlib import suppress
from typing import TYPE_CHECKING
from litestar.cli._utils import LitestarGroup
from advanced_alchemy.cli import add_migration_commands
try:
import rich_click as click
except ImportError:
import click # type: ignore[no-redef]
if TYPE_CHECKING:
from litestar import Litestar
from advanced_alchemy.extensions.litestar.plugins import SQLAlchemyInitPlugin
def get_database_migration_plugin(app: "Litestar") -> "SQLAlchemyInitPlugin":
"""Retrieve a database migration plugin from the Litestar application's plugins."""
from advanced_alchemy.exceptions import ImproperConfigurationError
from advanced_alchemy.extensions.litestar.plugins import SQLAlchemyInitPlugin
with suppress(KeyError):
return app.plugins.get(SQLAlchemyInitPlugin)
msg = "Failed to initialize database migrations. The required plugin (SQLAlchemyPlugin or SQLAlchemyInitPlugin) is missing."
raise ImproperConfigurationError(msg)
@click.group(cls=LitestarGroup, name="database")
def database_group(ctx: "click.Context") -> None:
"""Manage SQLAlchemy database components."""
ctx.obj = {"app": ctx.obj, "configs": get_database_migration_plugin(ctx.obj.app).config}
add_migration_commands(database_group)
python-advanced-alchemy-0.34.0/advanced_alchemy/extensions/litestar/dto.py 0000664 0000000 0000000 00000045352 14763441450 0026760 0 ustar 00root root 0000000 0000000 from collections.abc import Collection, Generator
from collections.abc import Set as AbstractSet
from dataclasses import asdict, dataclass, field, replace
from functools import singledispatchmethod
from typing import (
Any,
ClassVar,
Generic,
Literal,
Optional,
Union,
)
from litestar.dto.base_dto import AbstractDTO
from litestar.dto.config import DTOConfig
from litestar.dto.data_structures import DTOFieldDefinition
from litestar.dto.field import DTO_FIELD_META_KEY, DTOField, Mark
from litestar.types.empty import Empty
from litestar.typing import FieldDefinition
from litestar.utils.signature import ParsedSignature
from sqlalchemy import Column, inspect, orm, sql
from sqlalchemy.ext.associationproxy import AssociationProxy, AssociationProxyExtensionType
from sqlalchemy.ext.hybrid import HybridExtensionType, hybrid_property
from sqlalchemy.orm import (
ColumnProperty,
CompositeProperty,
DeclarativeBase,
DynamicMapped,
InspectionAttr,
InstrumentedAttribute,
Mapped,
MappedColumn,
NotExtension,
QueryableAttribute,
RelationshipDirection,
RelationshipProperty,
WriteOnlyMapped,
)
from sqlalchemy.sql.expression import ColumnClause, Label
from typing_extensions import TypeAlias, TypeVar
from advanced_alchemy.exceptions import ImproperConfigurationError
__all__ = ("SQLAlchemyDTO",)
T = TypeVar("T", bound="Union[DeclarativeBase, Collection[DeclarativeBase]]")
ElementType: TypeAlias = Union[
"Column[Any]", "RelationshipProperty[Any]", "CompositeProperty[Any]", "ColumnClause[Any]", "Label[Any]"
]
SQLA_NS = {**vars(orm), **vars(sql)}
@dataclass(frozen=True)
class SQLAlchemyDTOConfig(DTOConfig):
"""Additional controls for the generated SQLAlchemy DTO."""
exclude: AbstractSet[Union[str, InstrumentedAttribute[Any]]] = field(default_factory=set) # type: ignore[assignment] # pyright: ignore[reportIncompatibleVariableOverride]
"""Explicitly exclude fields from the generated DTO.
If exclude is specified, all fields not specified in exclude will be included by default.
Notes:
- The field names are dot-separated paths to nested fields, e.g. ``"address.street"`` will
exclude the ``"street"`` field from a nested ``"address"`` model.
- 'exclude' mutually exclusive with 'include' - specifying both values will raise an
``ImproperlyConfiguredException``.
"""
include: AbstractSet[Union[str, InstrumentedAttribute[Any]]] = field(default_factory=set) # type: ignore[assignment] # pyright: ignore[reportIncompatibleVariableOverride]
"""Explicitly include fields in the generated DTO.
If include is specified, all fields not specified in include will be excluded by default.
Notes:
- The field names are dot-separated paths to nested fields, e.g. ``"address.street"`` will
include the ``"street"`` field from a nested ``"address"`` model.
- 'include' mutually exclusive with 'exclude' - specifying both values will raise an
``ImproperlyConfiguredException``.
"""
rename_fields: dict[Union[str, InstrumentedAttribute[Any]], str] = field(default_factory=dict) # type: ignore[assignment] # pyright: ignore[reportIncompatibleVariableOverride]
"""Mapping of field names, to new name."""
include_implicit_fields: Union[bool, Literal["hybrid-only"]] = True
"""Fields that are implicitly mapped are included.
Turning this off will lead to exclude all fields not using ``Mapped`` annotation,
When setting this to ``hybrid-only``, all implicitly mapped fields are excluded
with the exception for hybrid properties.
"""
def __post_init__(self) -> None:
super().__post_init__()
object.__setattr__(
self, "exclude", {f.key if isinstance(f, InstrumentedAttribute) else f for f in self.exclude}
)
object.__setattr__(
self, "include", {f.key if isinstance(f, InstrumentedAttribute) else f for f in self.include}
)
object.__setattr__(
self,
"rename_fields",
{f.key if isinstance(f, InstrumentedAttribute) else f: v for f, v in self.rename_fields.items()},
)
class SQLAlchemyDTO(AbstractDTO[T], Generic[T]):
"""Support for domain modelling with SQLAlchemy."""
config: ClassVar[SQLAlchemyDTOConfig]
@staticmethod
def _ensure_sqla_dto_config(config: Union[DTOConfig, SQLAlchemyDTOConfig]) -> SQLAlchemyDTOConfig:
if not isinstance(config, SQLAlchemyDTOConfig):
return SQLAlchemyDTOConfig(**asdict(config))
return config
def __init_subclass__(cls, **kwargs: Any) -> None:
super().__init_subclass__(**kwargs)
if hasattr(cls, "config"):
cls.config = cls._ensure_sqla_dto_config(cls.config) # pyright: ignore[reportIncompatibleVariableOverride]
@singledispatchmethod
@classmethod
def handle_orm_descriptor(
cls,
extension_type: Union[NotExtension, AssociationProxyExtensionType, HybridExtensionType],
orm_descriptor: InspectionAttr,
key: str,
model_type_hints: dict[str, FieldDefinition],
model_name: str,
) -> list[DTOFieldDefinition]:
msg = f"Unsupported extension type: {extension_type}"
raise NotImplementedError(msg)
@handle_orm_descriptor.register(NotExtension)
@classmethod
def _(
cls,
extension_type: NotExtension,
key: str,
orm_descriptor: InspectionAttr,
model_type_hints: dict[str, FieldDefinition],
model_name: str,
) -> list[DTOFieldDefinition]:
if not isinstance(orm_descriptor, QueryableAttribute):
msg = f"Unexpected descriptor type for '{extension_type}': '{orm_descriptor}'"
raise NotImplementedError(msg)
elem: ElementType
if isinstance(orm_descriptor.property, ColumnProperty): # pyright: ignore[reportUnknownMemberType]
if not isinstance(orm_descriptor.property.expression, (Column, ColumnClause, Label)): # pyright: ignore[reportUnknownMemberType]
msg = f"Expected 'Column', got: '{orm_descriptor.property.expression}, {type(orm_descriptor.property.expression)}'" # pyright: ignore[reportUnknownMemberType]
raise NotImplementedError(msg)
elem = orm_descriptor.property.expression # pyright: ignore[reportUnknownMemberType,reportUnknownVariableType]
elif isinstance(orm_descriptor.property, (RelationshipProperty, CompositeProperty)): # pyright: ignore[reportUnknownMemberType,reportUnknownVariableType]
elem = orm_descriptor.property # pyright: ignore[reportUnknownMemberType,reportUnknownVariableType]
else:
msg = f"Unhandled property type: '{orm_descriptor.property}'" # pyright: ignore[reportUnknownMemberType]
raise NotImplementedError(msg)
default, default_factory = _detect_defaults(elem)
try:
if (field_definition := model_type_hints[key]).origin in {Mapped, WriteOnlyMapped, DynamicMapped}:
(field_definition,) = field_definition.inner_types
else:
msg = f"Expected 'Mapped' origin, got: '{field_definition.origin}'"
raise NotImplementedError(msg)
except KeyError:
field_definition = parse_type_from_element(elem, orm_descriptor) # pyright: ignore[reportUnknownArgumentType]
dto_field = elem.info.get(DTO_FIELD_META_KEY) if hasattr(elem, "info") else None # pyright: ignore[reportArgumentMemberType]
if dto_field is None and isinstance(orm_descriptor, InstrumentedAttribute) and hasattr(orm_descriptor, "info"): # pyright: ignore[reportUnknownArgumentType]
dto_field = orm_descriptor.info.get(DTO_FIELD_META_KEY) # pyright: ignore[reportArgumentMemberType]
if dto_field is None:
dto_field = DTOField()
return [
DTOFieldDefinition.from_field_definition(
field_definition=replace(
field_definition,
name=key,
default=default,
),
default_factory=default_factory,
dto_field=dto_field,
model_name=model_name,
),
]
@handle_orm_descriptor.register(AssociationProxyExtensionType)
@classmethod
def _(
cls,
extension_type: AssociationProxyExtensionType,
key: str,
orm_descriptor: InspectionAttr,
model_type_hints: dict[str, FieldDefinition],
model_name: str,
) -> list[DTOFieldDefinition]:
if not isinstance(orm_descriptor, AssociationProxy):
msg = f"Unexpected descriptor type '{orm_descriptor}' for '{extension_type}'"
raise NotImplementedError(msg)
if (field_definition := model_type_hints[key]).origin is AssociationProxy:
(field_definition,) = field_definition.inner_types
else:
msg = f"Expected 'AssociationProxy' origin, got: '{field_definition.origin}'"
raise NotImplementedError(msg)
return [
DTOFieldDefinition.from_field_definition(
field_definition=replace(
field_definition,
name=key,
default=Empty,
),
default_factory=None,
dto_field=orm_descriptor.info.get(DTO_FIELD_META_KEY, DTOField(mark=Mark.READ_ONLY)),
model_name=model_name,
),
]
@handle_orm_descriptor.register(HybridExtensionType)
@classmethod
def _(
cls,
extension_type: HybridExtensionType,
key: str,
orm_descriptor: InspectionAttr,
model_type_hints: dict[str, FieldDefinition],
model_name: str,
) -> list[DTOFieldDefinition]:
if not isinstance(orm_descriptor, hybrid_property):
msg = f"Unexpected descriptor type '{orm_descriptor}' for '{extension_type}'"
raise NotImplementedError(msg)
getter_sig = ParsedSignature.from_fn(orm_descriptor.fget, {}) # pyright: ignore[reportUnknownArgumentType,reportUnknownMemberType,reportAttributeAccessIssue]
field_defs = [
DTOFieldDefinition.from_field_definition(
field_definition=replace(
getter_sig.return_type,
name=orm_descriptor.__name__,
default=Empty,
),
default_factory=None,
dto_field=orm_descriptor.info.get(DTO_FIELD_META_KEY, DTOField(mark=Mark.READ_ONLY)),
model_name=model_name,
),
]
if orm_descriptor.fset is not None: # pyright: ignore[reportUnknownMemberType]
setter_sig = ParsedSignature.from_fn(orm_descriptor.fset, {}) # pyright: ignore[reportUnknownArgumentType,reportUnknownMemberType]
field_defs.append(
DTOFieldDefinition.from_field_definition(
field_definition=replace(
next(iter(setter_sig.parameters.values())),
name=orm_descriptor.__name__,
default=Empty,
),
default_factory=None,
dto_field=orm_descriptor.info.get(DTO_FIELD_META_KEY, DTOField(mark=Mark.WRITE_ONLY)),
model_name=model_name,
),
)
return field_defs
@classmethod
def generate_field_definitions(cls, model_type: type[DeclarativeBase]) -> Generator[DTOFieldDefinition, None, None]:
"""Generate DTO field definitions from a SQLAlchemy model.
Args:
model_type (typing.Type[sqlalchemy.orm.DeclarativeBase]): The SQLAlchemy model type to generate field definitions from.
Yields:
collections.abc.Generator[litestar.dto.data_structures.DTOFieldDefinition, None, None]: A generator yielding DTO field definitions.
Raises:
RuntimeError: If the mapper cannot be found for the model type.
NotImplementedError: If an unsupported property or extension type is encountered.
ImproperConfigurationError: If a type cannot be parsed from an element.
"""
if (mapper := inspect(model_type)) is None: # pragma: no cover # pyright: ignore[reportUnnecessaryComparison]
msg = "Unexpected `None` value for mapper." # type: ignore[unreachable]
raise RuntimeError(msg)
# includes SQLAlchemy names and other mapped class names in the forward reference resolution namespace
namespace = {**SQLA_NS, **{m.class_.__name__: m.class_ for m in mapper.registry.mappers if m is not mapper}}
model_type_hints = cls.get_model_type_hints(model_type, namespace=namespace)
model_name = model_type.__name__
include_implicit_fields = cls.config.include_implicit_fields
# the same hybrid property descriptor can be included in `all_orm_descriptors` multiple times, once
# for each method name it is bound to. We only need to see it once, so track views of it here.
seen_hybrid_descriptors: set[hybrid_property] = set() # pyright: ignore[reportUnknownVariableType,reportMissingTypeArgument]
skipped_descriptors: set[str] = set()
for composite_property in mapper.composites:
for attr in composite_property.attrs:
if isinstance(attr, (MappedColumn, Column)):
skipped_descriptors.add(attr.name)
elif isinstance(attr, str):
skipped_descriptors.add(attr)
for key, orm_descriptor in mapper.all_orm_descriptors.items():
if is_hybrid_property := isinstance(orm_descriptor, hybrid_property):
if orm_descriptor in seen_hybrid_descriptors:
continue
seen_hybrid_descriptors.add(orm_descriptor) # pyright: ignore[reportUnknownMemberType]
if key in skipped_descriptors:
continue
should_skip_descriptor = False
dto_field: Optional[DTOField] = None
if hasattr(orm_descriptor, "property"): # pyright: ignore[reportUnknownArgumentType]
dto_field = orm_descriptor.property.info.get(DTO_FIELD_META_KEY) # pyright: ignore # noqa: PGH003
# Case 1
is_field_marked_not_private = dto_field and dto_field.mark is not Mark.PRIVATE # pyright: ignore[reportUnknownVariableType,reportUnknownMemberType]
# Case 2
should_exclude_anything_implicit = not include_implicit_fields and key not in model_type_hints
# Case 3
should_exclude_non_hybrid_only = (
not is_hybrid_property and include_implicit_fields == "hybrid-only" and key not in model_type_hints
)
# Descriptor is marked with with either Mark.READ_ONLY or Mark.WRITE_ONLY (see Case 1):
# - always include it regardless of anything else.
# Descriptor is not marked:
# - It's implicit BUT config excludes anything implicit (see Case 2): exclude
# - It's implicit AND not hybrid BUT config includes hybrid-only implicit descriptors (Case 3): exclude
should_skip_descriptor = not is_field_marked_not_private and (
should_exclude_anything_implicit or should_exclude_non_hybrid_only
)
if should_skip_descriptor:
continue
yield from cls.handle_orm_descriptor(
orm_descriptor.extension_type,
key,
orm_descriptor,
model_type_hints,
model_name,
)
@classmethod
def detect_nested_field(cls, field_definition: FieldDefinition) -> bool:
return field_definition.is_subclass_of(DeclarativeBase)
def _detect_defaults(elem: ElementType) -> tuple[Any, Any]:
default: Any = Empty
default_factory: Any = None # pyright:ignore # noqa: PGH003
if sqla_default := getattr(elem, "default", None):
if sqla_default.is_scalar:
default = sqla_default.arg
elif sqla_default.is_callable:
def default_factory(d: Any = sqla_default) -> Any:
return d.arg({})
elif sqla_default.is_sequence or sqla_default.is_sentinel:
# SQLAlchemy sequences represent server side defaults
# so we cannot infer a reasonable default value for
# them on the client side
pass
else:
msg = "Unexpected default type"
raise ValueError(msg)
elif (isinstance(elem, RelationshipProperty) and detect_nullable_relationship(elem)) or getattr(
elem, "nullable", False
):
default = None
return default, default_factory
def parse_type_from_element(elem: ElementType, orm_descriptor: InspectionAttr) -> FieldDefinition: # noqa: PLR0911
"""Parses a type from a SQLAlchemy element.
Args:
elem: The SQLAlchemy element to parse.
orm_descriptor: The attribute `elem` was extracted from.
Returns:
FieldDefinition: The parsed type.
Raises:
ImproperlyConfiguredException: If the type cannot be parsed.
"""
if isinstance(elem, Column):
if elem.nullable:
return FieldDefinition.from_annotation(Optional[elem.type.python_type])
return FieldDefinition.from_annotation(elem.type.python_type)
if isinstance(elem, RelationshipProperty):
if elem.direction in (RelationshipDirection.ONETOMANY, RelationshipDirection.MANYTOMANY):
collection_type = FieldDefinition.from_annotation(elem.collection_class or list) # pyright: ignore[reportUnknownMemberType]
return FieldDefinition.from_annotation(collection_type.safe_generic_origin[elem.mapper.class_])
if detect_nullable_relationship(elem):
return FieldDefinition.from_annotation(Optional[elem.mapper.class_])
return FieldDefinition.from_annotation(elem.mapper.class_)
if isinstance(elem, CompositeProperty):
return FieldDefinition.from_annotation(elem.composite_class)
if isinstance(orm_descriptor, InstrumentedAttribute):
return FieldDefinition.from_annotation(orm_descriptor.type.python_type)
msg = f"Unable to parse type from element '{elem}'. Consider adding a type hint."
raise ImproperConfigurationError(
msg,
)
def detect_nullable_relationship(elem: RelationshipProperty[Any]) -> bool:
"""Detects if a relationship is nullable.
This attempts to decide if we should allow a ``None`` default value for a relationship by looking at the
foreign key fields. If all foreign key fields are nullable, then we allow a ``None`` default value.
Args:
elem: The relationship to check.
Returns:
bool: ``True`` if the relationship is nullable, ``False`` otherwise.
"""
return elem.direction == RelationshipDirection.MANYTOONE and all(c.nullable for c in elem.local_columns)
python-advanced-alchemy-0.34.0/advanced_alchemy/extensions/litestar/exception_handler.py 0000664 0000000 0000000 00000003305 14763441450 0031655 0 ustar 00root root 0000000 0000000 from typing import TYPE_CHECKING, Any
from litestar.connection import Request
from litestar.connection.base import AuthT, StateT, UserT
from litestar.exceptions import (
ClientException,
HTTPException,
InternalServerException,
NotFoundException,
)
from litestar.exceptions.responses import (
create_debug_response, # pyright: ignore[reportUnknownVariableType]
create_exception_response, # pyright: ignore[reportUnknownVariableType]
)
from litestar.response import Response
from litestar.status_codes import (
HTTP_409_CONFLICT,
)
from advanced_alchemy.exceptions import (
DuplicateKeyError,
ForeignKeyError,
IntegrityError,
NotFoundError,
RepositoryError,
)
if TYPE_CHECKING:
from litestar.connection import Request
from litestar.connection.base import AuthT, StateT, UserT
from litestar.response import Response
class ConflictError(ClientException):
"""Request conflict with the current state of the target resource."""
status_code: int = HTTP_409_CONFLICT
def exception_to_http_response(request: "Request[UserT, AuthT, StateT]", exc: "RepositoryError") -> "Response[Any]":
"""Handler for all exceptions subclassed from HTTPException."""
if isinstance(exc, NotFoundError):
http_exc: type[HTTPException] = NotFoundException
elif isinstance(exc, (DuplicateKeyError, IntegrityError, ForeignKeyError)):
http_exc = ConflictError
else:
http_exc = InternalServerException
if request.app.debug:
return create_debug_response(request, exc) # pyright: ignore[reportUnknownVariableType]
return create_exception_response(request, http_exc(detail=str(exc.detail))) # pyright: ignore[reportUnknownVariableType]
python-advanced-alchemy-0.34.0/advanced_alchemy/extensions/litestar/plugins/ 0000775 0000000 0000000 00000000000 14763441450 0027270 5 ustar 00root root 0000000 0000000 python-advanced-alchemy-0.34.0/advanced_alchemy/extensions/litestar/plugins/__init__.py 0000664 0000000 0000000 00000003306 14763441450 0031403 0 ustar 00root root 0000000 0000000 from collections.abc import Sequence
from typing import Union
from litestar.config.app import AppConfig
from litestar.plugins import InitPluginProtocol
from advanced_alchemy.extensions.litestar.plugins import _slots_base
from advanced_alchemy.extensions.litestar.plugins.init import (
EngineConfig,
SQLAlchemyAsyncConfig,
SQLAlchemyInitPlugin,
SQLAlchemySyncConfig,
)
from advanced_alchemy.extensions.litestar.plugins.serialization import SQLAlchemySerializationPlugin
class SQLAlchemyPlugin(InitPluginProtocol, _slots_base.SlotsBase):
"""A plugin that provides SQLAlchemy integration."""
def __init__(
self,
config: Union[
SQLAlchemyAsyncConfig, SQLAlchemySyncConfig, Sequence[Union[SQLAlchemyAsyncConfig, SQLAlchemySyncConfig]]
],
) -> None:
"""Initialize ``SQLAlchemyPlugin``.
Args:
config: configure DB connection and hook handlers and dependencies.
"""
self._config = config if isinstance(config, Sequence) else [config]
@property
def config(
self,
) -> Sequence[Union[SQLAlchemyAsyncConfig, SQLAlchemySyncConfig]]:
return self._config
def on_app_init(self, app_config: AppConfig) -> AppConfig:
"""Configure application for use with SQLAlchemy.
Args:
app_config: The :class:`AppConfig <.config.app.AppConfig>` instance.
"""
app_config.plugins.extend([SQLAlchemyInitPlugin(config=self._config), SQLAlchemySerializationPlugin()])
return app_config
__all__ = (
"EngineConfig",
"SQLAlchemyAsyncConfig",
"SQLAlchemyInitPlugin",
"SQLAlchemyPlugin",
"SQLAlchemySerializationPlugin",
"SQLAlchemySyncConfig",
)
python-advanced-alchemy-0.34.0/advanced_alchemy/extensions/litestar/plugins/_slots_base.py 0000664 0000000 0000000 00000000434 14763441450 0032140 0 ustar 00root root 0000000 0000000 """Base class that aggregates slots for all SQLAlchemy plugins.
See: https://stackoverflow.com/questions/53060607/python-3-6-5-multiple-bases-have-instance-lay-out-conflict-when-multi-inherit
"""
class SlotsBase:
__slots__ = (
"_config",
"_type_dto_map",
)
python-advanced-alchemy-0.34.0/advanced_alchemy/extensions/litestar/plugins/init/ 0000775 0000000 0000000 00000000000 14763441450 0030233 5 ustar 00root root 0000000 0000000 python-advanced-alchemy-0.34.0/advanced_alchemy/extensions/litestar/plugins/init/__init__.py 0000664 0000000 0000000 00000000542 14763441450 0032345 0 ustar 00root root 0000000 0000000 from advanced_alchemy.extensions.litestar.plugins.init.config import (
EngineConfig,
SQLAlchemyAsyncConfig,
SQLAlchemySyncConfig,
)
from advanced_alchemy.extensions.litestar.plugins.init.plugin import SQLAlchemyInitPlugin
__all__ = (
"EngineConfig",
"SQLAlchemyAsyncConfig",
"SQLAlchemyInitPlugin",
"SQLAlchemySyncConfig",
)
python-advanced-alchemy-0.34.0/advanced_alchemy/extensions/litestar/plugins/init/config/ 0000775 0000000 0000000 00000000000 14763441450 0031500 5 ustar 00root root 0000000 0000000 python-advanced-alchemy-0.34.0/advanced_alchemy/extensions/litestar/plugins/init/config/__init__.py 0000664 0000000 0000000 00000000567 14763441450 0033621 0 ustar 00root root 0000000 0000000 from advanced_alchemy.extensions.litestar.plugins.init.config.asyncio import SQLAlchemyAsyncConfig
from advanced_alchemy.extensions.litestar.plugins.init.config.engine import EngineConfig
from advanced_alchemy.extensions.litestar.plugins.init.config.sync import SQLAlchemySyncConfig
__all__ = (
"EngineConfig",
"SQLAlchemyAsyncConfig",
"SQLAlchemySyncConfig",
)
python-advanced-alchemy-0.34.0/advanced_alchemy/extensions/litestar/plugins/init/config/asyncio.py 0000664 0000000 0000000 00000026227 14763441450 0033530 0 ustar 00root root 0000000 0000000 from collections.abc import AsyncGenerator, Coroutine
from contextlib import asynccontextmanager
from dataclasses import dataclass, field
from typing import TYPE_CHECKING, Any, Callable, Literal, Optional, Union, cast
from litestar.cli._utils import console
from litestar.constants import HTTP_RESPONSE_START
from sqlalchemy.exc import OperationalError
from sqlalchemy.ext.asyncio import AsyncEngine, AsyncSession
from advanced_alchemy.base import metadata_registry
from advanced_alchemy.config.asyncio import SQLAlchemyAsyncConfig as _SQLAlchemyAsyncConfig
from advanced_alchemy.extensions.litestar._utils import (
delete_aa_scope_state,
get_aa_scope_state,
set_aa_scope_state,
)
from advanced_alchemy.extensions.litestar.plugins.init.config.common import (
SESSION_SCOPE_KEY,
SESSION_TERMINUS_ASGI_EVENTS,
)
from advanced_alchemy.extensions.litestar.plugins.init.config.engine import EngineConfig
if TYPE_CHECKING:
from collections.abc import AsyncGenerator, Coroutine
from litestar import Litestar
from litestar.datastructures.state import State
from litestar.types import BeforeMessageSendHookHandler, Message, Scope
# noinspection PyUnresolvedReferences
__all__ = (
"SQLAlchemyAsyncConfig",
"autocommit_before_send_handler",
"autocommit_handler_maker",
"default_before_send_handler",
"default_handler_maker",
)
def default_handler_maker(
session_scope_key: str = SESSION_SCOPE_KEY,
) -> "Callable[[Message, Scope], Coroutine[Any, Any, None]]":
"""Set up the handler to issue a transaction commit or rollback based on specified status codes
Args:
session_scope_key: The key to use within the application state
Returns:
The handler callable
"""
async def handler(message: "Message", scope: "Scope") -> None:
"""Handle commit/rollback, closing and cleaning up sessions before sending.
Args:
message: ASGI-``Message``
scope: An ASGI-``Scope``
Returns:
None
"""
session = cast("Optional[AsyncSession]", get_aa_scope_state(scope, session_scope_key))
if session and message["type"] in SESSION_TERMINUS_ASGI_EVENTS:
await session.close()
delete_aa_scope_state(scope, session_scope_key)
return handler
default_before_send_handler = default_handler_maker()
def autocommit_handler_maker(
commit_on_redirect: bool = False,
extra_commit_statuses: Optional[set[int]] = None,
extra_rollback_statuses: Optional[set[int]] = None,
session_scope_key: str = SESSION_SCOPE_KEY,
) -> "Callable[[Message, Scope], Coroutine[Any, Any, None]]":
"""Set up the handler to issue a transaction commit or rollback based on specified status codes
Args:
commit_on_redirect: Issue a commit when the response status is a redirect (``3XX``)
extra_commit_statuses: A set of additional status codes that trigger a commit
extra_rollback_statuses: A set of additional status codes that trigger a rollback
session_scope_key: The key to use within the application state
Returns:
The handler callable
"""
if extra_commit_statuses is None:
extra_commit_statuses = set()
if extra_rollback_statuses is None:
extra_rollback_statuses = set()
if len(extra_commit_statuses & extra_rollback_statuses) > 0:
msg = "Extra rollback statuses and commit statuses must not share any status codes"
raise ValueError(msg)
commit_range = range(200, 400 if commit_on_redirect else 300)
async def handler(message: "Message", scope: "Scope") -> None:
"""Handle commit/rollback, closing and cleaning up sessions before sending.
Args:
message: ASGI-``litestar.types.Message``
scope: An ASGI-``litestar.types.Scope``
Returns:
None
"""
session = cast("Optional[AsyncSession]", get_aa_scope_state(scope, session_scope_key))
try:
if session is not None and message["type"] == HTTP_RESPONSE_START:
if (message["status"] in commit_range or message["status"] in extra_commit_statuses) and message[
"status"
] not in extra_rollback_statuses:
await session.commit()
else:
await session.rollback()
finally:
if session and message["type"] in SESSION_TERMINUS_ASGI_EVENTS:
await session.close()
delete_aa_scope_state(scope, session_scope_key)
return handler
autocommit_before_send_handler = autocommit_handler_maker()
@dataclass
class SQLAlchemyAsyncConfig(_SQLAlchemyAsyncConfig):
"""Litestar Async SQLAlchemy Configuration."""
before_send_handler: Optional[
Union["BeforeMessageSendHookHandler", Literal["autocommit", "autocommit_include_redirects"]]
] = None
"""Handler to call before the ASGI message is sent.
The handler should handle closing the session stored in the ASGI scope, if it's still open, and committing and
uncommitted data.
"""
engine_dependency_key: str = "db_engine"
"""Key to use for the dependency injection of database engines."""
session_dependency_key: str = "db_session"
"""Key to use for the dependency injection of database sessions."""
engine_app_state_key: str = "db_engine"
"""Key under which to store the SQLAlchemy engine in the application :class:`State `
instance.
"""
session_maker_app_state_key: str = "session_maker_class"
"""Key under which to store the SQLAlchemy :class:`sessionmaker ` in the application
:class:`State ` instance.
"""
session_scope_key: str = SESSION_SCOPE_KEY
"""Key under which to store the SQLAlchemy scope in the application."""
engine_config: EngineConfig = field(default_factory=EngineConfig) # pyright: ignore[reportIncompatibleVariableOverride]
"""Configuration for the SQLAlchemy engine.
The configuration options are documented in the SQLAlchemy documentation.
"""
set_default_exception_handler: bool = True
"""Sets the default exception handler on application start."""
def _ensure_unique(self, registry_name: str, key: str, new_key: Optional[str] = None, _iter: int = 0) -> str:
new_key = new_key if new_key is not None else key
if new_key in getattr(self.__class__, registry_name, {}):
_iter += 1
new_key = self._ensure_unique(registry_name, key, f"{key}_{_iter}", _iter)
return new_key
def __post_init__(self) -> None:
self.session_scope_key = self._ensure_unique("_SESSION_SCOPE_KEY_REGISTRY", self.session_scope_key)
self.engine_app_state_key = self._ensure_unique("_ENGINE_APP_STATE_KEY_REGISTRY", self.engine_app_state_key)
self.session_maker_app_state_key = self._ensure_unique(
"_SESSIONMAKER_APP_STATE_KEY_REGISTRY",
self.session_maker_app_state_key,
)
self.__class__._SESSION_SCOPE_KEY_REGISTRY.add(self.session_scope_key) # noqa: SLF001
self.__class__._ENGINE_APP_STATE_KEY_REGISTRY.add(self.engine_app_state_key) # noqa: SLF001
self.__class__._SESSIONMAKER_APP_STATE_KEY_REGISTRY.add(self.session_maker_app_state_key) # noqa: SLF001
if self.before_send_handler is None:
self.before_send_handler = default_handler_maker(session_scope_key=self.session_scope_key)
if self.before_send_handler == "autocommit":
self.before_send_handler = autocommit_handler_maker(session_scope_key=self.session_scope_key)
if self.before_send_handler == "autocommit_include_redirects":
self.before_send_handler = autocommit_handler_maker(
session_scope_key=self.session_scope_key,
commit_on_redirect=True,
)
super().__post_init__()
def create_session_maker(self) -> "Callable[[], AsyncSession]":
"""Get a session maker. If none exists yet, create one.
Returns:
Session factory used by the plugin.
"""
if self.session_maker:
return self.session_maker
session_kws = self.session_config_dict
if session_kws.get("bind") is None:
session_kws["bind"] = self.get_engine()
return self.session_maker_class(**session_kws) # pyright: ignore[reportUnknownVariableType,reportUnknownMemberType]
@asynccontextmanager
async def lifespan(
self,
app: "Litestar",
) -> "AsyncGenerator[None, None]":
deps = self.create_app_state_items()
app.state.update(deps)
try:
if self.create_all:
await self.create_all_metadata(app)
yield
finally:
if self.engine_dependency_key in deps:
engine = deps[self.engine_dependency_key]
if hasattr(engine, "dispose"):
await cast("AsyncEngine", engine).dispose()
def provide_engine(self, state: "State") -> "AsyncEngine":
"""Create an engine instance.
Args:
state: The ``Litestar.state`` instance.
Returns:
An engine instance.
"""
return cast("AsyncEngine", state.get(self.engine_app_state_key))
def provide_session(self, state: "State", scope: "Scope") -> "AsyncSession":
"""Create a session instance.
Args:
state: The ``Litestar.state`` instance.
scope: The current connection's scope.
Returns:
A session instance.
"""
session = cast("Optional[AsyncSession]", get_aa_scope_state(scope, self.session_scope_key))
if session is None:
session_maker = cast("Callable[[], AsyncSession]", state[self.session_maker_app_state_key])
session = session_maker()
set_aa_scope_state(scope, self.session_scope_key, session)
return session
@property
def signature_namespace(self) -> dict[str, Any]:
"""Return the plugin's signature namespace.
Returns:
A string keyed dict of names to be added to the namespace for signature forward reference resolution.
"""
return {"AsyncEngine": AsyncEngine, "AsyncSession": AsyncSession}
async def create_all_metadata(self, app: "Litestar") -> None:
"""Create all metadata
Args:
app (Litestar): The ``Litestar`` instance
"""
async with self.get_engine().begin() as conn:
try:
await conn.run_sync(metadata_registry.get(self.bind_key).create_all)
except OperationalError as exc:
console.print(f"[bold red] * Could not create target metadata. Reason: {exc}")
def create_app_state_items(self) -> dict[str, Any]:
"""Key/value pairs to be stored in application state."""
return {
self.engine_app_state_key: self.get_engine(),
self.session_maker_app_state_key: self.create_session_maker(),
}
def update_app_state(self, app: "Litestar") -> None:
"""Set the app state with engine and session.
Args:
app: The ``Litestar`` instance.
"""
app.state.update(self.create_app_state_items())
python-advanced-alchemy-0.34.0/advanced_alchemy/extensions/litestar/plugins/init/config/common.py 0000664 0000000 0000000 00000000521 14763441450 0033340 0 ustar 00root root 0000000 0000000 from litestar.constants import HTTP_DISCONNECT, HTTP_RESPONSE_START, WEBSOCKET_CLOSE, WEBSOCKET_DISCONNECT
SESSION_SCOPE_KEY = "_sqlalchemy_db_session"
"""Session scope key."""
SESSION_TERMINUS_ASGI_EVENTS = {HTTP_RESPONSE_START, HTTP_DISCONNECT, WEBSOCKET_DISCONNECT, WEBSOCKET_CLOSE}
"""ASGI events that terminate a session scope."""
python-advanced-alchemy-0.34.0/advanced_alchemy/extensions/litestar/plugins/init/config/engine.py 0000664 0000000 0000000 00000002230 14763441450 0033314 0 ustar 00root root 0000000 0000000 from dataclasses import dataclass
from typing import Any, Callable
from litestar.serialization import decode_json, encode_json
from advanced_alchemy.config import EngineConfig as _EngineConfig
__all__ = ("EngineConfig",)
def serializer(value: Any) -> str:
"""Serialize JSON field values.
Args:
value: Any json serializable value.
Returns:
JSON string.
"""
return encode_json(value).decode("utf-8")
@dataclass
class EngineConfig(_EngineConfig):
"""Configuration for SQLAlchemy's :class:`Engine `.
For details see: https://docs.sqlalchemy.org/en/20/core/engines.html
"""
json_deserializer: Callable[[str], Any] = decode_json
"""For dialects that support the :class:`JSON ` datatype, this is a Python callable that will
convert a JSON string to a Python object. By default, this is set to Litestar's decode_json function."""
json_serializer: Callable[[Any], str] = serializer
"""For dialects that support the JSON datatype, this is a Python callable that will render a given object as JSON.
By default, Litestar's encode_json function is used."""
python-advanced-alchemy-0.34.0/advanced_alchemy/extensions/litestar/plugins/init/config/sync.py 0000664 0000000 0000000 00000025410 14763441450 0033030 0 ustar 00root root 0000000 0000000 from contextlib import asynccontextmanager
from dataclasses import dataclass, field
from typing import TYPE_CHECKING, Any, Callable, Literal, Optional, Union, cast
from litestar.cli._utils import console
from litestar.constants import HTTP_RESPONSE_START
from sqlalchemy import Engine
from sqlalchemy.exc import OperationalError
from sqlalchemy.orm import Session
from advanced_alchemy.base import metadata_registry
from advanced_alchemy.config.sync import SQLAlchemySyncConfig as _SQLAlchemySyncConfig
from advanced_alchemy.extensions.litestar._utils import (
delete_aa_scope_state,
get_aa_scope_state,
set_aa_scope_state,
)
from advanced_alchemy.extensions.litestar.plugins.init.config.common import (
SESSION_SCOPE_KEY,
SESSION_TERMINUS_ASGI_EVENTS,
)
from advanced_alchemy.extensions.litestar.plugins.init.config.engine import EngineConfig
if TYPE_CHECKING:
from collections.abc import AsyncGenerator
from litestar import Litestar
from litestar.datastructures.state import State
from litestar.types import BeforeMessageSendHookHandler, Message, Scope
__all__ = (
"SQLAlchemySyncConfig",
"autocommit_before_send_handler",
"autocommit_handler_maker",
"default_before_send_handler",
"default_handler_maker",
)
def default_handler_maker(
session_scope_key: str = SESSION_SCOPE_KEY,
) -> "Callable[[Message, Scope], None]":
"""Set up the handler to issue a transaction commit or rollback based on specified status codes
Args:
session_scope_key: The key to use within the application state
Returns:
The handler callable
"""
def handler(message: "Message", scope: "Scope") -> None:
"""Handle commit/rollback, closing and cleaning up sessions before sending.
Args:
message: ASGI-``Message``
scope: An ASGI-``Scope``
Returns:
None
"""
session = cast("Optional[Session]", get_aa_scope_state(scope, session_scope_key))
if session and message["type"] in SESSION_TERMINUS_ASGI_EVENTS:
session.close()
delete_aa_scope_state(scope, session_scope_key)
return handler
default_before_send_handler = default_handler_maker()
def autocommit_handler_maker(
commit_on_redirect: bool = False,
extra_commit_statuses: "Optional[set[int]]" = None,
extra_rollback_statuses: "Optional[set[int]]" = None,
session_scope_key: str = SESSION_SCOPE_KEY,
) -> "Callable[[Message, Scope], None]":
"""Set up the handler to issue a transaction commit or rollback based on specified status codes
Args:
commit_on_redirect: Issue a commit when the response status is a redirect (``3XX``)
extra_commit_statuses: A set of additional status codes that trigger a commit
extra_rollback_statuses: A set of additional status codes that trigger a rollback
session_scope_key: The key to use within the application state
Returns:
The handler callable
"""
if extra_commit_statuses is None:
extra_commit_statuses = set()
if extra_rollback_statuses is None:
extra_rollback_statuses = set()
if len(extra_commit_statuses & extra_rollback_statuses) > 0:
msg = "Extra rollback statuses and commit statuses must not share any status codes"
raise ValueError(msg)
commit_range = range(200, 400 if commit_on_redirect else 300)
def handler(message: "Message", scope: "Scope") -> None:
"""Handle commit/rollback, closing and cleaning up sessions before sending.
Args:
message: ASGI-``Message``
scope: An ASGI-``Scope``
Returns:
None
"""
session = cast("Optional[Session]", get_aa_scope_state(scope, session_scope_key))
try:
if session is not None and message["type"] == HTTP_RESPONSE_START:
if (message["status"] in commit_range or message["status"] in extra_commit_statuses) and message[
"status"
] not in extra_rollback_statuses:
session.commit()
else:
session.rollback()
finally:
if session and message["type"] in SESSION_TERMINUS_ASGI_EVENTS:
session.close()
delete_aa_scope_state(scope, session_scope_key)
return handler
autocommit_before_send_handler = autocommit_handler_maker()
@dataclass
class SQLAlchemySyncConfig(_SQLAlchemySyncConfig):
"""Litestar Sync SQLAlchemy Configuration."""
before_send_handler: Optional[
Union["BeforeMessageSendHookHandler", Literal["autocommit", "autocommit_include_redirects"]]
] = None
"""Handler to call before the ASGI message is sent.
The handler should handle closing the session stored in the ASGI scope, if it's still open, and committing and
uncommitted data.
"""
engine_dependency_key: str = "db_engine"
"""Key to use for the dependency injection of database engines."""
session_dependency_key: str = "db_session"
"""Key to use for the dependency injection of database sessions."""
engine_app_state_key: str = "db_engine"
"""Key under which to store the SQLAlchemy engine in the application :class:`State <.datastructures.State>`
instance.
"""
session_maker_app_state_key: str = "session_maker_class"
"""Key under which to store the SQLAlchemy :class:`sessionmaker ` in the application
:class:`State <.datastructures.State>` instance.
"""
session_scope_key: str = SESSION_SCOPE_KEY
"""Key under which to store the SQLAlchemy scope in the application."""
engine_config: EngineConfig = field(default_factory=EngineConfig) # pyright: ignore[reportIncompatibleVariableOverride]
"""Configuration for the SQLAlchemy engine.
The configuration options are documented in the SQLAlchemy documentation.
"""
set_default_exception_handler: bool = True
"""Sets the default exception handler on application start."""
def _ensure_unique(self, registry_name: str, key: str, new_key: Optional[str] = None, _iter: int = 0) -> str:
new_key = new_key if new_key is not None else key
if new_key in getattr(self.__class__, registry_name, {}):
_iter += 1
new_key = self._ensure_unique(registry_name, key, f"{key}_{_iter}", _iter)
return new_key
def __post_init__(self) -> None:
self.session_scope_key = self._ensure_unique("_SESSION_SCOPE_KEY_REGISTRY", self.session_scope_key)
self.engine_app_state_key = self._ensure_unique("_ENGINE_APP_STATE_KEY_REGISTRY", self.engine_app_state_key)
self.session_maker_app_state_key = self._ensure_unique(
"_SESSIONMAKER_APP_STATE_KEY_REGISTRY",
self.session_maker_app_state_key,
)
self.__class__._SESSION_SCOPE_KEY_REGISTRY.add(self.session_scope_key) # noqa: SLF001
self.__class__._ENGINE_APP_STATE_KEY_REGISTRY.add(self.engine_app_state_key) # noqa: SLF001
self.__class__._SESSIONMAKER_APP_STATE_KEY_REGISTRY.add(self.session_maker_app_state_key) # noqa: SLF001
if self.before_send_handler is None:
self.before_send_handler = default_handler_maker(session_scope_key=self.session_scope_key)
if self.before_send_handler == "autocommit":
self.before_send_handler = autocommit_handler_maker(session_scope_key=self.session_scope_key)
if self.before_send_handler == "autocommit_include_redirects":
self.before_send_handler = autocommit_handler_maker(
session_scope_key=self.session_scope_key,
commit_on_redirect=True,
)
super().__post_init__()
def create_session_maker(self) -> "Callable[[], Session]":
"""Get a session maker. If none exists yet, create one.
Returns:
Session factory used by the plugin.
"""
if self.session_maker:
return self.session_maker
session_kws = self.session_config_dict
if session_kws.get("bind") is None:
session_kws["bind"] = self.get_engine()
return self.session_maker_class(**session_kws)
@asynccontextmanager
async def lifespan(
self,
app: "Litestar",
) -> "AsyncGenerator[None, None]":
deps = self.create_app_state_items()
app.state.update(deps)
try:
if self.create_all:
self.create_all_metadata(app)
yield
finally:
if self.engine_dependency_key in deps:
engine = deps[self.engine_dependency_key]
if hasattr(engine, "dispose"):
cast("Engine", engine).dispose()
def provide_engine(self, state: "State") -> "Engine":
"""Create an engine instance.
Args:
state: The ``Litestar.state`` instance.
Returns:
An engine instance.
"""
return cast("Engine", state.get(self.engine_app_state_key))
def provide_session(self, state: "State", scope: "Scope") -> "Session":
"""Create a session instance.
Args:
state: The ``Litestar.state`` instance.
scope: The current connection's scope.
Returns:
A session instance.
"""
session = cast("Optional[Session]", get_aa_scope_state(scope, self.session_scope_key))
if session is None:
session_maker = cast("Callable[[], Session]", state[self.session_maker_app_state_key])
session = session_maker()
set_aa_scope_state(scope, self.session_scope_key, session)
return session
@property
def signature_namespace(self) -> "dict[str, Any]":
"""Return the plugin's signature namespace.
Returns:
A string keyed dict of names to be added to the namespace for signature forward reference resolution.
"""
return {"Engine": Engine, "Session": Session}
def create_all_metadata(self, app: "Litestar") -> None:
"""Create all metadata
Args:
app (Litestar): The ``Litestar`` instance
"""
with self.get_engine().begin() as conn:
try:
metadata_registry.get(self.bind_key).create_all(bind=conn)
except OperationalError as exc:
console.print(f"[bold red] * Could not create target metadata. Reason: {exc}")
def create_app_state_items(self) -> "dict[str, Any]":
"""Key/value pairs to be stored in application state."""
return {
self.engine_app_state_key: self.get_engine(),
self.session_maker_app_state_key: self.create_session_maker(),
}
def update_app_state(self, app: "Litestar") -> None:
"""Set the app state with engine and session.
Args:
app: The ``Litestar`` instance.
"""
app.state.update(self.create_app_state_items())
python-advanced-alchemy-0.34.0/advanced_alchemy/extensions/litestar/plugins/init/plugin.py 0000664 0000000 0000000 00000014174 14763441450 0032112 0 ustar 00root root 0000000 0000000 import contextlib
from collections.abc import Sequence
from typing import TYPE_CHECKING, Any, Union, cast
from litestar.di import Provide
from litestar.dto import DTOData
from litestar.params import Dependency, Parameter
from litestar.plugins import CLIPlugin, InitPluginProtocol
from sqlalchemy.ext.asyncio import AsyncSession, async_scoped_session
from sqlalchemy.orm import Session, scoped_session
from advanced_alchemy.exceptions import ImproperConfigurationError, RepositoryError
from advanced_alchemy.extensions.litestar.exception_handler import exception_to_http_response
from advanced_alchemy.extensions.litestar.plugins import _slots_base
from advanced_alchemy.filters import (
BeforeAfter,
CollectionFilter,
FilterTypes,
LimitOffset,
NotInCollectionFilter,
NotInSearchFilter,
OnBeforeAfter,
OrderBy,
SearchFilter,
)
from advanced_alchemy.service import ModelDictListT, ModelDictT, ModelDTOT, ModelOrRowMappingT, ModelT, OffsetPagination
if TYPE_CHECKING:
from click import Group
from litestar.config.app import AppConfig
from litestar.types import BeforeMessageSendHookHandler
from advanced_alchemy.extensions.litestar.plugins.init.config import SQLAlchemyAsyncConfig, SQLAlchemySyncConfig
__all__ = ("SQLAlchemyInitPlugin",)
signature_namespace_values: dict[str, Any] = {
"BeforeAfter": BeforeAfter,
"OnBeforeAfter": OnBeforeAfter,
"CollectionFilter": CollectionFilter,
"LimitOffset": LimitOffset,
"OrderBy": OrderBy,
"SearchFilter": SearchFilter,
"NotInCollectionFilter": NotInCollectionFilter,
"NotInSearchFilter": NotInSearchFilter,
"FilterTypes": FilterTypes,
"OffsetPagination": OffsetPagination,
"Parameter": Parameter,
"Dependency": Dependency,
"DTOData": DTOData,
"Sequence": Sequence,
"ModelT": ModelT,
"ModelDictT": ModelDictT,
"ModelDTOT": ModelDTOT,
"ModelDictListT": ModelDictListT,
"ModelOrRowMappingT": ModelOrRowMappingT,
"Session": Session,
"scoped_session": scoped_session,
"AsyncSession": AsyncSession,
"async_scoped_session": async_scoped_session,
}
class SQLAlchemyInitPlugin(InitPluginProtocol, CLIPlugin, _slots_base.SlotsBase):
"""SQLAlchemy application lifecycle configuration."""
def __init__(
self,
config: Union[
"SQLAlchemyAsyncConfig",
"SQLAlchemySyncConfig",
"Sequence[Union[SQLAlchemyAsyncConfig, SQLAlchemySyncConfig]]",
],
) -> None:
"""Initialize ``SQLAlchemyPlugin``.
Args:
config: configure DB connection and hook handlers and dependencies.
"""
self._config = config
@property
def config(self) -> "Sequence[Union[SQLAlchemyAsyncConfig, SQLAlchemySyncConfig]]":
return self._config if isinstance(self._config, Sequence) else [self._config]
def on_cli_init(self, cli: "Group") -> None:
from advanced_alchemy.extensions.litestar.cli import database_group
cli.add_command(database_group)
def _validate_config(self) -> None:
configs = self._config if isinstance(self._config, Sequence) else [self._config]
scope_keys = {config.session_scope_key for config in configs}
engine_keys = {config.engine_dependency_key for config in configs}
session_keys = {config.session_dependency_key for config in configs}
if len(configs) > 1 and any(len(i) != len(configs) for i in (scope_keys, engine_keys, session_keys)):
raise ImproperConfigurationError(
detail="When using multiple configurations, please ensure the `session_dependency_key` and `engine_dependency_key` settings are unique across all configs. Additionally, iF you are using a custom `before_send` handler, ensure `session_scope_key` is unique.",
)
def on_app_init(self, app_config: "AppConfig") -> "AppConfig":
"""Configure application for use with SQLAlchemy.
Args:
app_config: The :class:`AppConfig <.config.app.AppConfig>` instance.
"""
self._validate_config()
with contextlib.suppress(ImportError):
from asyncpg.pgproto import pgproto # pyright: ignore[reportMissingImports]
signature_namespace_values.update({"pgproto.UUID": pgproto.UUID})
app_config.type_encoders = {pgproto.UUID: str, **(app_config.type_encoders or {})}
with contextlib.suppress(ImportError):
import uuid_utils # pyright: ignore[reportMissingImports]
signature_namespace_values.update({"uuid_utils.UUID": uuid_utils.UUID}) # pyright: ignore[reportUnknownMemberType]
app_config.type_encoders = {uuid_utils.UUID: str, **(app_config.type_encoders or {})} # pyright: ignore[reportUnknownMemberType]
app_config.type_decoders = [
(lambda x: x is uuid_utils.UUID, lambda t, v: t(str(v))), # pyright: ignore[reportUnknownMemberType]
*(app_config.type_decoders or []),
]
configure_exception_handler = False
for config in self.config:
if config.set_default_exception_handler:
configure_exception_handler = True
signature_namespace_values.update(config.signature_namespace)
app_config.lifespan.append(config.lifespan) # pyright: ignore[reportUnknownMemberType]
app_config.dependencies.update(
{
config.engine_dependency_key: Provide(config.provide_engine, sync_to_thread=False),
config.session_dependency_key: Provide(config.provide_session, sync_to_thread=False),
},
)
app_config.before_send.append(cast("BeforeMessageSendHookHandler", config.before_send_handler))
app_config.signature_namespace.update(signature_namespace_values)
if configure_exception_handler and not any(
isinstance(exc, int) or issubclass(exc, RepositoryError)
for exc in app_config.exception_handlers # pyright: ignore[reportUnknownMemberType]
):
app_config.exception_handlers.update({RepositoryError: exception_to_http_response}) # pyright: ignore[reportUnknownMemberType]
return app_config
python-advanced-alchemy-0.34.0/advanced_alchemy/extensions/litestar/plugins/serialization.py 0000664 0000000 0000000 00000002646 14763441450 0032527 0 ustar 00root root 0000000 0000000 from typing import Any
from litestar.plugins import SerializationPlugin
from litestar.typing import FieldDefinition
from sqlalchemy.orm import DeclarativeBase
from advanced_alchemy.extensions.litestar.dto import SQLAlchemyDTO
from advanced_alchemy.extensions.litestar.plugins import _slots_base
class SQLAlchemySerializationPlugin(SerializationPlugin, _slots_base.SlotsBase):
def __init__(self) -> None:
self._type_dto_map: dict[type[DeclarativeBase], type[SQLAlchemyDTO[Any]]] = {}
def supports_type(self, field_definition: FieldDefinition) -> bool:
return (
field_definition.is_collection and field_definition.has_inner_subclass_of(DeclarativeBase)
) or field_definition.is_subclass_of(DeclarativeBase)
def create_dto_for_type(self, field_definition: FieldDefinition) -> type[SQLAlchemyDTO[Any]]:
# assumes that the type is a container of SQLAlchemy models or a single SQLAlchemy model
annotation = next(
(
inner_type.annotation
for inner_type in field_definition.inner_types
if inner_type.is_subclass_of(DeclarativeBase)
),
field_definition.annotation,
)
if annotation in self._type_dto_map:
return self._type_dto_map[annotation]
self._type_dto_map[annotation] = dto_type = SQLAlchemyDTO[annotation] # type:ignore[valid-type]
return dto_type
python-advanced-alchemy-0.34.0/advanced_alchemy/extensions/litestar/providers.py 0000664 0000000 0000000 00000047227 14763441450 0030212 0 ustar 00root root 0000000 0000000 # ruff: noqa: B008, PGH003
"""Application dependency providers generators.
This module contains functions to create dependency providers for services and filters.
You should not have modify this module very often and should only be invoked under normal usage.
"""
import datetime
import inspect
from collections.abc import AsyncGenerator, Callable, Generator
from typing import (
TYPE_CHECKING,
Any,
Literal,
Optional,
TypedDict,
TypeVar,
Union,
cast,
overload,
)
from uuid import UUID
from litestar.di import Provide
from litestar.params import Dependency, Parameter
from typing_extensions import NotRequired
from advanced_alchemy.filters import (
BeforeAfter,
CollectionFilter,
FilterTypes,
LimitOffset,
OrderBy,
SearchFilter,
)
from advanced_alchemy.service import (
Empty,
EmptyType,
ErrorMessages,
LoadSpec,
ModelT,
SQLAlchemyAsyncRepositoryService,
SQLAlchemySyncRepositoryService,
)
if TYPE_CHECKING:
from sqlalchemy import Select
from sqlalchemy.ext.asyncio import AsyncSession
from sqlalchemy.orm import Session
from advanced_alchemy.config import SQLAlchemyAsyncConfig, SQLAlchemySyncConfig
DTorNone = Optional[datetime.datetime]
StringOrNone = Optional[str]
UuidOrNone = Optional[UUID]
IntOrNone = Optional[int]
BooleanOrNone = Optional[bool]
SortOrder = Literal["asc", "desc"]
SortOrderOrNone = Optional[SortOrder]
AsyncServiceT_co = TypeVar("AsyncServiceT_co", bound=SQLAlchemyAsyncRepositoryService[Any], covariant=True)
SyncServiceT_co = TypeVar("SyncServiceT_co", bound=SQLAlchemySyncRepositoryService[Any], covariant=True)
class DependencyDefaults:
FILTERS_DEPENDENCY_KEY: str = "filters"
"""Key for the filters dependency."""
CREATED_FILTER_DEPENDENCY_KEY: str = "created_filter"
"""Key for the created filter dependency."""
ID_FILTER_DEPENDENCY_KEY: str = "id_filter"
"""Key for the id filter dependency."""
LIMIT_OFFSET_DEPENDENCY_KEY: str = "limit_offset"
"""Key for the limit offset dependency."""
UPDATED_FILTER_DEPENDENCY_KEY: str = "updated_filter"
"""Key for the updated filter dependency."""
ORDER_BY_DEPENDENCY_KEY: str = "order_by"
"""Key for the order by dependency."""
SEARCH_FILTER_DEPENDENCY_KEY: str = "search_filter"
"""Key for the search filter dependency."""
DEFAULT_PAGINATION_SIZE: int = 20
"""Default pagination size."""
DEPENDENCY_DEFAULTS = DependencyDefaults()
class FilterConfig(TypedDict):
"""Configuration for generating dynamic filters."""
id_filter: NotRequired[type[Union[UUID, int]]]
"""Indicates that the id filter should be enabled. When set, the type specified will be used for the :class:`CollectionFilter`."""
id_field: NotRequired[str]
"""The field on the model that stored the primary key or identifier."""
sort_field: NotRequired[str]
"""The default field to use for the sort filter."""
sort_order: NotRequired[SortOrder]
"""The default order to use for the sort filter."""
pagination_type: NotRequired[Literal["limit_offset"]]
"""When set, pagination is enabled based on the type specified."""
pagination_size: NotRequired[int]
"""The size of the pagination."""
search: NotRequired[str]
"""When set, search is enabled for the specified fields."""
search_ignore_case: NotRequired[bool]
"""When set, search is case insensitive by default."""
created_at: NotRequired[bool]
"""When set, created_at filter is enabled."""
updated_at: NotRequired[bool]
"""When set, updated_at filter is enabled."""
class SingletonMeta(type):
"""Metaclass for singleton pattern."""
_instances: dict[type, Any] = {}
def __call__(cls, *args: Any, **kwargs: Any) -> Any:
if cls not in cls._instances: # pyright: ignore[reportUnnecessaryContains]
cls._instances[cls] = super().__call__(*args, **kwargs)
return cls._instances[cls]
class DependencyCache(metaclass=SingletonMeta):
"""Simple dependency cache for the application. This is used to help memoize dependencies that are generated dynamically."""
def __init__(self) -> None:
self.dependencies: dict[Union[int, str], dict[str, Provide]] = {}
def add_dependencies(self, key: Union[int, str], dependencies: dict[str, Provide]) -> None:
self.dependencies[key] = dependencies
def get_dependencies(self, key: Union[int, str]) -> Optional[dict[str, Provide]]:
return self.dependencies.get(key)
dep_cache = DependencyCache()
@overload
def create_service_provider(
service_class: type["AsyncServiceT_co"],
/,
statement: "Optional[Select[tuple[ModelT]]]" = None,
config: "Optional[SQLAlchemyAsyncConfig]" = None,
error_messages: "Optional[Union[ErrorMessages, EmptyType]]" = Empty,
load: "Optional[LoadSpec]" = None,
execution_options: "Optional[dict[str, Any]]" = None,
uniquify: Optional[bool] = None,
count_with_window_function: Optional[bool] = None,
) -> Callable[..., AsyncGenerator[AsyncServiceT_co, None]]: ...
@overload
def create_service_provider(
service_class: type["SyncServiceT_co"],
/,
statement: "Optional[Select[tuple[ModelT]]]" = None,
config: "Optional[SQLAlchemySyncConfig]" = None,
error_messages: "Optional[Union[ErrorMessages, EmptyType]]" = Empty,
load: "Optional[LoadSpec]" = None,
execution_options: "Optional[dict[str, Any]]" = None,
uniquify: Optional[bool] = None,
count_with_window_function: Optional[bool] = None,
) -> Callable[..., Generator[SyncServiceT_co, None, None]]: ...
def create_service_provider(
service_class: type[Union["AsyncServiceT_co", "SyncServiceT_co"]],
/,
statement: "Optional[Select[tuple[ModelT]]]" = None,
config: "Optional[Union[SQLAlchemyAsyncConfig, SQLAlchemySyncConfig]]" = None,
error_messages: "Optional[Union[ErrorMessages, EmptyType]]" = Empty,
load: "Optional[LoadSpec]" = None,
execution_options: "Optional[dict[str, Any]]" = None,
uniquify: Optional[bool] = None,
count_with_window_function: Optional[bool] = None,
) -> Callable[..., Union["AsyncGenerator[AsyncServiceT_co, None]", "Generator[SyncServiceT_co,None, None]"]]:
"""Create a dependency provider for a service."""
if issubclass(service_class, SQLAlchemyAsyncRepositoryService) or service_class is SQLAlchemyAsyncRepositoryService: # type: ignore[comparison-overlap]
async def provide_async_service(
db_session: "Optional[AsyncSession]" = None,
) -> "AsyncGenerator[AsyncServiceT_co, None]": # type: ignore[union-attr,unused-ignore]
async with service_class.new( # type: ignore[union-attr,unused-ignore]
session=db_session, # type: ignore[arg-type, unused-ignore]
statement=statement,
config=cast("Optional[SQLAlchemyAsyncConfig]", config), # type: ignore[arg-type]
error_messages=error_messages,
load=load,
execution_options=execution_options,
uniquify=uniquify,
count_with_window_function=count_with_window_function,
) as service:
yield service
return provide_async_service
def provide_sync_service(
db_session: "Optional[Session]" = None,
) -> "Generator[SyncServiceT_co, None, None]":
with service_class.new(
session=db_session, # type: ignore[arg-type, unused-ignore]
statement=statement,
config=cast("Optional[SQLAlchemySyncConfig]", config),
error_messages=error_messages,
load=load,
execution_options=execution_options,
uniquify=uniquify,
count_with_window_function=count_with_window_function,
) as service:
yield service
return provide_sync_service
def create_service_dependencies(
service_class: type[Union["AsyncServiceT_co", "SyncServiceT_co"]],
/,
key: str,
statement: "Optional[Select[tuple[ModelT]]]" = None,
config: "Optional[Union[SQLAlchemyAsyncConfig, SQLAlchemySyncConfig]]" = None,
error_messages: "Optional[Union[ErrorMessages, EmptyType]]" = Empty,
load: "Optional[LoadSpec]" = None,
execution_options: "Optional[dict[str, Any]]" = None,
filters: "Optional[FilterConfig]" = None,
uniquify: Optional[bool] = None,
count_with_window_function: Optional[bool] = None,
dep_defaults: "DependencyDefaults" = DEPENDENCY_DEFAULTS,
) -> dict[str, Provide]:
"""Create a dependency provider for the combined filter function.
Args:
key: The key to use for the dependency provider.
service_class: The service class to create a dependency provider for.
statement: The statement to use for the service.
config: The configuration to use for the service.
error_messages: The error messages to use for the service.
load: The load spec to use for the service.
execution_options: The execution options to use for the service.
filters: The filter configuration to use for the service.
uniquify: Whether to uniquify the service.
count_with_window_function: Whether to count with a window function.
dep_defaults: The dependency defaults to use for the service.
Returns:
A dictionary of dependency providers for the service.
"""
if issubclass(service_class, SQLAlchemyAsyncRepositoryService) or service_class is SQLAlchemyAsyncRepositoryService: # type: ignore[comparison-overlap]
svc = create_service_provider( # type: ignore[type-var,misc,unused-ignore]
service_class,
statement,
cast("Optional[SQLAlchemyAsyncConfig]", config),
error_messages,
load,
execution_options,
uniquify,
count_with_window_function,
)
deps = {key: Provide(svc)}
else:
svc = create_service_provider( # type: ignore[assignment]
service_class,
statement,
cast("Optional[SQLAlchemySyncConfig]", config),
error_messages,
load,
execution_options,
uniquify,
count_with_window_function,
)
deps = {key: Provide(svc, sync_to_thread=False)}
if filters:
deps.update(create_filter_dependencies(filters, dep_defaults))
return deps
def create_filter_dependencies(
config: FilterConfig, dep_defaults: DependencyDefaults = DEPENDENCY_DEFAULTS
) -> dict[str, Provide]:
"""Create a dependency provider for the combined filter function.
Args:
config: FilterConfig instance with desired settings.
dep_defaults: Dependency defaults to use for the filter dependencies
Returns:
A dependency provider function for the combined filter function.
"""
cache_key = sum(map(hash, config.items()))
deps = dep_cache.get_dependencies(cache_key)
if deps is not None:
return deps
deps = _create_statement_filters(config, dep_defaults)
dep_cache.add_dependencies(cache_key, deps)
return deps
def _create_statement_filters(
config: FilterConfig, dep_defaults: DependencyDefaults = DEPENDENCY_DEFAULTS
) -> dict[str, Provide]:
"""Create filter dependencies based on configuration.
Args:
config (FilterConfig): Configuration dictionary specifying which filters to enable
dep_defaults (DependencyDefaults): Dependency defaults to use for the filter dependencies
Returns:
dict[str, Provide]: Dictionary of filter provider functions
"""
filters: dict[str, Provide] = {}
if config.get("id_filter", False):
def provide_id_filter( # pyright: ignore[reportUnknownParameterType]
ids: Optional[list[str]] = Parameter(query="ids", default=None, required=False),
) -> CollectionFilter: # pyright: ignore[reportMissingTypeArgument]
return CollectionFilter(field_name=config.get("id_field", "id"), values=ids)
filters[dep_defaults.ID_FILTER_DEPENDENCY_KEY] = Provide(provide_id_filter, sync_to_thread=False) # pyright: ignore[reportUnknownArgumentType]
if config.get("created_at", False):
def provide_created_filter(
before: DTorNone = Parameter(query="createdBefore", default=None, required=False),
after: DTorNone = Parameter(query="createdAfter", default=None, required=False),
) -> BeforeAfter:
return BeforeAfter("created_at", before, after)
filters[dep_defaults.CREATED_FILTER_DEPENDENCY_KEY] = Provide(provide_created_filter, sync_to_thread=False)
if config.get("updated_at", False):
def provide_updated_filter(
before: DTorNone = Parameter(query="updatedBefore", default=None, required=False),
after: DTorNone = Parameter(query="updatedAfter", default=None, required=False),
) -> BeforeAfter:
return BeforeAfter("updated_at", before, after)
filters[dep_defaults.UPDATED_FILTER_DEPENDENCY_KEY] = Provide(provide_updated_filter, sync_to_thread=False)
if config.get("pagination_type") == "limit_offset":
def provide_limit_offset_pagination(
current_page: int = Parameter(ge=1, query="currentPage", default=1, required=False),
page_size: int = Parameter(
query="pageSize",
ge=1,
default=config.get("pagination_size", dep_defaults.DEFAULT_PAGINATION_SIZE),
required=False,
),
) -> LimitOffset:
return LimitOffset(page_size, page_size * (current_page - 1))
filters[dep_defaults.LIMIT_OFFSET_DEPENDENCY_KEY] = Provide(
provide_limit_offset_pagination, sync_to_thread=False
)
if search_fields := config.get("search"):
def provide_search_filter(
search_string: StringOrNone = Parameter(
title="Field to search",
query="searchString",
default=None,
required=False,
),
ignore_case: BooleanOrNone = Parameter(
title="Search should be case sensitive",
query="searchIgnoreCase",
default=config.get("search_ignore_case", False),
required=False,
),
) -> SearchFilter:
return SearchFilter(
field_name=set(search_fields.split(",")),
value=search_string, # type: ignore[arg-type]
ignore_case=ignore_case or False,
)
filters[dep_defaults.SEARCH_FILTER_DEPENDENCY_KEY] = Provide(provide_search_filter, sync_to_thread=False)
if sort_field := config.get("sort_field"):
def provide_order_by(
field_name: StringOrNone = Parameter(
title="Order by field",
query="orderBy",
default=sort_field,
required=False,
),
sort_order: SortOrderOrNone = Parameter(
title="Field to search",
query="sortOrder",
default=config.get("sort_order", "desc"),
required=False,
),
) -> OrderBy:
return OrderBy(field_name=field_name, sort_order=sort_order) # type: ignore[arg-type]
filters[dep_defaults.ORDER_BY_DEPENDENCY_KEY] = Provide(provide_order_by, sync_to_thread=False)
if filters:
filters[dep_defaults.FILTERS_DEPENDENCY_KEY] = Provide(
_create_filter_aggregate_function(config), sync_to_thread=False
)
return filters
def _create_filter_aggregate_function(config: FilterConfig) -> Callable[..., list[FilterTypes]]:
"""Create a filter function based on the provided configuration.
Args:
config: The filter configuration.
Returns:
A function that returns a list of filters based on the configuration.
"""
parameters: dict[str, inspect.Parameter] = {}
annotations: dict[str, Any] = {}
# Build parameters based on config
if cls := config.get("id_filter"):
parameters["id_filter"] = inspect.Parameter(
name="id_filter",
kind=inspect.Parameter.POSITIONAL_OR_KEYWORD,
default=Dependency(skip_validation=True),
annotation=CollectionFilter[cls], # type: ignore[valid-type]
)
annotations["id_filter"] = CollectionFilter[cls] # type: ignore[valid-type]
if config.get("created_at"):
parameters["created_filter"] = inspect.Parameter(
name="created_filter",
kind=inspect.Parameter.POSITIONAL_OR_KEYWORD,
default=Dependency(skip_validation=True),
annotation=BeforeAfter,
)
annotations["created_filter"] = BeforeAfter
if config.get("updated_at"):
parameters["updated_filter"] = inspect.Parameter(
name="updated_filter",
kind=inspect.Parameter.POSITIONAL_OR_KEYWORD,
default=Dependency(skip_validation=True),
annotation=BeforeAfter,
)
annotations["updated_filter"] = BeforeAfter
if config.get("search"):
parameters["search_filter"] = inspect.Parameter(
name="search_filter",
kind=inspect.Parameter.POSITIONAL_OR_KEYWORD,
default=Dependency(skip_validation=True),
annotation=SearchFilter,
)
annotations["search_filter"] = SearchFilter
if config.get("pagination_type") == "limit_offset":
parameters["limit_offset"] = inspect.Parameter(
name="limit_offset",
kind=inspect.Parameter.POSITIONAL_OR_KEYWORD,
default=Dependency(skip_validation=True),
annotation=LimitOffset,
)
annotations["limit_offset"] = LimitOffset
if config.get("sort_field"):
parameters["order_by"] = inspect.Parameter(
name="order_by",
kind=inspect.Parameter.POSITIONAL_OR_KEYWORD,
default=Dependency(skip_validation=True),
annotation=OrderBy,
)
annotations["order_by"] = OrderBy
def provide_filters(**kwargs: FilterTypes) -> list[FilterTypes]:
"""Provide filter dependencies based on configuration.
Args:
**kwargs: Filter parameters dynamically provided based on configuration.
Returns:
list[FilterTypes]: List of configured filters.
"""
filters: list[FilterTypes] = []
if id_filter := kwargs.get("id_filter"):
filters.append(id_filter)
if created_filter := kwargs.get("created_filter"):
filters.append(created_filter)
if limit_offset := kwargs.get("limit_offset"):
filters.append(limit_offset)
if updated_filter := kwargs.get("updated_filter"):
filters.append(updated_filter)
if (
(search_filter := cast("Optional[SearchFilter]", kwargs.get("search_filter")))
and search_filter is not None # pyright: ignore[reportUnnecessaryComparison]
and search_filter.field_name is not None # pyright: ignore[reportUnnecessaryComparison]
and search_filter.value is not None # pyright: ignore[reportUnnecessaryComparison]
):
filters.append(search_filter)
if (
(order_by := cast("Optional[OrderBy]", kwargs.get("order_by")))
and order_by is not None # pyright: ignore[reportUnnecessaryComparison]
and order_by.field_name is not None # pyright: ignore[reportUnnecessaryComparison]
):
filters.append(order_by)
return filters
# Set both signature and annotations
provide_filters.__signature__ = inspect.Signature( # type: ignore
parameters=list(parameters.values()),
return_annotation=list[FilterTypes],
)
provide_filters.__annotations__ = annotations
provide_filters.__annotations__["return"] = list[FilterTypes]
return provide_filters
python-advanced-alchemy-0.34.0/advanced_alchemy/extensions/sanic/ 0000775 0000000 0000000 00000000000 14763441450 0025055 5 ustar 00root root 0000000 0000000 python-advanced-alchemy-0.34.0/advanced_alchemy/extensions/sanic/__init__.py 0000664 0000000 0000000 00000001541 14763441450 0027167 0 ustar 00root root 0000000 0000000 from advanced_alchemy import base, exceptions, filters, mixins, operations, repository, service, types, utils
from advanced_alchemy.alembic.commands import AlembicCommands
from advanced_alchemy.config import (
AlembicAsyncConfig,
AlembicSyncConfig,
AsyncSessionConfig,
SyncSessionConfig,
)
from advanced_alchemy.extensions.sanic.config import EngineConfig, SQLAlchemyAsyncConfig, SQLAlchemySyncConfig
from advanced_alchemy.extensions.sanic.extension import AdvancedAlchemy
__all__ = (
"AdvancedAlchemy",
"AlembicAsyncConfig",
"AlembicCommands",
"AlembicSyncConfig",
"AsyncSessionConfig",
"EngineConfig",
"SQLAlchemyAsyncConfig",
"SQLAlchemySyncConfig",
"SyncSessionConfig",
"base",
"exceptions",
"filters",
"mixins",
"operations",
"repository",
"service",
"types",
"utils",
)
python-advanced-alchemy-0.34.0/advanced_alchemy/extensions/sanic/config.py 0000664 0000000 0000000 00000055036 14763441450 0026705 0 ustar 00root root 0000000 0000000 """Configuration classes for Sanic integration.
This module provides configuration classes for integrating SQLAlchemy with Sanic applications,
including both synchronous and asynchronous database configurations.
"""
import asyncio
import contextlib
from dataclasses import dataclass, field
from typing import Any, Callable, Optional, cast
from click import echo
from sanic import HTTPResponse, Request, Sanic
from sqlalchemy.exc import OperationalError
from advanced_alchemy.exceptions import ImproperConfigurationError
try:
from sanic_ext import Extend
SANIC_INSTALLED = True
except ModuleNotFoundError: # pragma: no cover
SANIC_INSTALLED = False # pyright: ignore[reportConstantRedefinition]
Extend = type("Extend", (), {}) # type: ignore # noqa: PGH003
from sqlalchemy.ext.asyncio import AsyncEngine, AsyncSession, async_sessionmaker
from sqlalchemy.orm import Session, sessionmaker
from typing_extensions import Literal
from advanced_alchemy._serialization import decode_json, encode_json
from advanced_alchemy.base import metadata_registry
from advanced_alchemy.config import EngineConfig as _EngineConfig
from advanced_alchemy.config.asyncio import SQLAlchemyAsyncConfig as _SQLAlchemyAsyncConfig
from advanced_alchemy.config.sync import SQLAlchemySyncConfig as _SQLAlchemySyncConfig
from advanced_alchemy.service import schema_dump
def _make_unique_context_key(app: "Sanic[Any, Any]", key: str) -> str: # pragma: no cover
"""Generates a unique context key for the Sanic application.
Ensures that the key does not already exist in the application's state.
Args:
app (sanic.Sanic): The Sanic application instance.
key (str): The base key name.
Returns:
str: A unique key name.
"""
i = 0
while True:
if not hasattr(app.ctx, key):
return key
key = f"{key}_{i}"
i += i
def serializer(value: Any) -> str:
"""Serialize JSON field values.
Args:
value: Any JSON serializable value.
Returns:
str: JSON string representation of the value.
"""
return encode_json(schema_dump(value))
@dataclass
class EngineConfig(_EngineConfig):
"""Configuration for SQLAlchemy's Engine.
This class extends the base EngineConfig with Sanic-specific JSON serialization options.
For details see: https://docs.sqlalchemy.org/en/20/core/engines.html
Attributes:
json_deserializer: Callable for converting JSON strings to Python objects.
json_serializer: Callable for converting Python objects to JSON strings.
"""
json_deserializer: Callable[[str], Any] = decode_json
"""For dialects that support the :class:`~sqlalchemy.types.JSON` datatype, this is a Python callable that will
convert a JSON string to a Python object. But default, this uses the built-in serializers."""
json_serializer: Callable[[Any], str] = serializer
"""For dialects that support the JSON datatype, this is a Python callable that will render a given object as JSON.
By default, By default, the built-in serializer is used."""
@dataclass
class SQLAlchemyAsyncConfig(_SQLAlchemyAsyncConfig):
"""SQLAlchemy Async config for Sanic."""
_app: "Optional[Sanic[Any, Any]]" = None
"""The Sanic application instance."""
commit_mode: Literal["manual", "autocommit", "autocommit_include_redirect"] = "manual"
"""The commit mode to use for database sessions."""
engine_key: str = "db_engine"
"""Key to use for the dependency injection of database engines."""
session_key: str = "db_session"
"""Key to use for the dependency injection of database sessions."""
session_maker_key: str = "session_maker_class"
"""Key under which to store the SQLAlchemy :class:`sessionmaker ` in the application state instance.
"""
engine_config: EngineConfig = field(default_factory=EngineConfig) # pyright: ignore[reportIncompatibleVariableOverride]
"""Configuration for the SQLAlchemy engine.
The configuration options are documented in the SQLAlchemy documentation.
"""
async def create_all_metadata(self) -> None: # pragma: no cover
"""Create all metadata tables in the database."""
if self.engine_instance is None:
self.engine_instance = self.get_engine()
async with self.engine_instance.begin() as conn:
try:
await conn.run_sync(
metadata_registry.get(None if self.bind_key == "default" else self.bind_key).create_all
)
await conn.commit()
except OperationalError as exc:
echo(f" * Could not create target metadata. Reason: {exc}")
else:
echo(" * Created target metadata.")
@property
def app(self) -> "Sanic[Any, Any]":
"""The Sanic application instance."""
if self._app is None:
msg = "The Sanic application instance is not set."
raise ImproperConfigurationError(msg)
return self._app
def init_app(self, app: "Sanic[Any, Any]", bootstrap: "Extend") -> None: # pyright: ignore[reportUnknownParameterType,reportInvalidTypeForm]
"""Initialize the Sanic application with this configuration.
Args:
app: The Sanic application instance.
bootstrap: The Sanic extension bootstrap.
"""
self._app = app
self.bind_key = self.bind_key or "default"
_ = self.create_session_maker()
self.session_key = _make_unique_context_key(app, f"advanced_alchemy_async_session_{self.session_key}")
self.engine_key = _make_unique_context_key(app, f"advanced_alchemy_async_engine_{self.engine_key}")
self.session_maker_key = _make_unique_context_key(
app, f"advanced_alchemy_async_session_maker_{self.session_maker_key}"
)
self.startup(bootstrap) # pyright: ignore[reportUnknownMemberType,reportUnknownArgumentType]
def startup(self, bootstrap: "Extend") -> None: # pyright: ignore[reportUnknownParameterType,reportInvalidTypeForm]
"""Initialize the Sanic application with this configuration.
Args:
bootstrap: The Sanic extension bootstrap.
"""
@self.app.before_server_start # pyright: ignore[reportUnknownMemberType]
async def on_startup(_: Any) -> None: # pyright: ignore[reportUnusedFunction]
setattr(self.app.ctx, self.engine_key, self.get_engine()) # pyright: ignore[reportUnknownMemberType,reportUnknownArgumentType,reportOptionalMemberAccess]
setattr(self.app.ctx, self.session_maker_key, self.create_session_maker()) # pyright: ignore[reportUnknownMemberType,reportUnknownArgumentType,reportOptionalMemberAccess]
bootstrap.add_dependency( # pyright: ignore[reportUnknownMemberType]
AsyncEngine,
self.get_engine_from_request,
)
bootstrap.add_dependency( # pyright: ignore[reportUnknownMemberType]
async_sessionmaker[AsyncSession],
self.get_sessionmaker_from_request,
)
bootstrap.add_dependency( # pyright: ignore[reportUnknownMemberType]
AsyncSession,
self.get_session_from_request,
)
await self.on_startup()
@self.app.after_server_stop # pyright: ignore[reportUnknownMemberType]
async def on_shutdown(_: Any) -> None: # pyright: ignore[reportUnusedFunction]
if self.engine_instance is not None:
await self.engine_instance.dispose()
if hasattr(self.app.ctx, self.engine_key): # pyright: ignore[reportUnknownMemberType,reportUnknownArgumentType,reportOptionalMemberAccess]
delattr(self.app.ctx, self.engine_key) # pyright: ignore[reportUnknownMemberType,reportUnknownArgumentType,reportOptionalMemberAccess]
if hasattr(self.app.ctx, self.session_maker_key): # pyright: ignore[reportUnknownMemberType,reportUnknownArgumentType,reportOptionalMemberAccess]
delattr(self.app.ctx, self.session_maker_key) # pyright: ignore[reportUnknownMemberType,reportUnknownArgumentType,reportOptionalMemberAccess]
@self.app.middleware("request") # pyright: ignore[reportUnknownMemberType]
async def on_request(request: Request) -> None: # pyright: ignore[reportUnusedFunction]
session = cast("Optional[AsyncSession]", getattr(request.ctx, self.session_key, None))
if session is None:
setattr(request.ctx, self.session_key, self.get_session())
@self.app.middleware("response") # type: ignore[arg-type]
async def on_response(request: Request, response: HTTPResponse) -> None: # pyright: ignore[reportUnusedFunction]
session = cast("Optional[AsyncSession]", getattr(request.ctx, self.session_key, None))
if session is not None:
await self.session_handler(session=session, request=request, response=response)
async def on_startup(self) -> None:
"""Initialize the Sanic application with this configuration."""
if self.create_all:
await self.create_all_metadata()
def create_session_maker(self) -> Callable[[], "AsyncSession"]:
"""Get a session maker. If none exists yet, create one.
Returns:
Callable[[], Session]: Session factory used by the plugin.
"""
if self.session_maker:
return self.session_maker
session_kws = self.session_config_dict
if self.engine_instance is None:
self.engine_instance = self.get_engine()
if session_kws.get("bind") is None:
session_kws["bind"] = self.engine_instance
self.session_maker = self.session_maker_class(**session_kws)
return self.session_maker
async def session_handler(
self, session: "AsyncSession", request: "Request", response: "HTTPResponse"
) -> None: # pragma: no cover
"""Handles the session after a request is processed.
Applies the commit strategy and ensures the session is closed.
Args:
session (sqlalchemy.ext.asyncio.AsyncSession):
The database session.
request (sanic.Request):
The incoming HTTP request.
response (sanic.HTTPResponse):
The outgoing HTTP response.
Returns:
None
"""
try:
if (self.commit_mode == "autocommit" and 200 <= response.status < 300) or ( # noqa: PLR2004
self.commit_mode == "autocommit_include_redirect" and 200 <= response.status < 400 # noqa: PLR2004
):
await session.commit()
else:
await session.rollback()
finally:
await session.close()
with contextlib.suppress(AttributeError, KeyError):
delattr(request.ctx, self.session_key)
def get_engine_from_request(self, request: "Request") -> AsyncEngine:
"""Retrieve the engine from the request context.
Args:
request (sanic.Request): The incoming request.
Returns:
AsyncEngine: The SQLAlchemy engine.
"""
return cast("AsyncEngine", getattr(request.app.ctx, self.engine_key, self.get_engine())) # pragma: no cover
def get_sessionmaker_from_request(self, request: "Request") -> async_sessionmaker[AsyncSession]:
"""Retrieve the session maker from the request context.
Args:
request (sanic.Request): The incoming request.
Returns:
SessionMakerT: The session maker.
"""
return cast(
async_sessionmaker[AsyncSession], getattr(request.app.ctx, self.session_maker_key, None)
) # pragma: no cover
def get_session_from_request(self, request: Request) -> AsyncSession:
"""Retrieve the session from the request context.
Args:
request (sanic.Request): The incoming request.
Returns:
SessionT: The session associated with the request.
"""
return cast("AsyncSession", getattr(request.ctx, self.session_key, None)) # pragma: no cover
async def close_engine(self) -> None: # pragma: no cover
"""Close the engine."""
if self.engine_instance is not None:
await self.engine_instance.dispose()
async def on_shutdown(self) -> None: # pragma: no cover
"""Handles the shutdown event by disposing of the SQLAlchemy engine.
Ensures that all connections are properly closed during application shutdown.
Returns:
None
"""
await self.close_engine()
if hasattr(self.app.ctx, self.engine_key): # pyright: ignore[reportUnknownMemberType,reportUnknownArgumentType,reportOptionalMemberAccess]
delattr(self.app.ctx, self.engine_key) # pyright: ignore[reportUnknownMemberType,reportUnknownArgumentType,reportOptionalMemberAccess]
if hasattr(self.app.ctx, self.session_maker_key): # pyright: ignore[reportUnknownMemberType,reportUnknownArgumentType,reportOptionalMemberAccess]
delattr(self.app.ctx, self.session_maker_key) # pyright: ignore[reportUnknownMemberType,reportUnknownArgumentType,reportOptionalMemberAccess]
@dataclass
class SQLAlchemySyncConfig(_SQLAlchemySyncConfig):
"""SQLAlchemy Sync config for Starlette."""
_app: "Optional[Sanic[Any, Any]]" = None
"""The Sanic application instance."""
commit_mode: Literal["manual", "autocommit", "autocommit_include_redirect"] = "manual"
"""The commit mode to use for database sessions."""
engine_key: str = "db_engine"
"""Key to use for the dependency injection of database engines."""
session_key: str = "db_session"
"""Key to use for the dependency injection of database sessions."""
session_maker_key: str = "session_maker_class"
"""Key under which to store the SQLAlchemy :class:`sessionmaker ` in the application state instance.
"""
engine_config: EngineConfig = field(default_factory=EngineConfig) # pyright: ignore[reportIncompatibleVariableOverride]
"""Configuration for the SQLAlchemy engine.
The configuration options are documented in the SQLAlchemy documentation.
"""
@property
def app(self) -> "Sanic[Any, Any]":
"""The Sanic application instance."""
if self._app is None:
msg = "The Sanic application instance is not set."
raise ImproperConfigurationError(msg)
return self._app
async def create_all_metadata(self) -> None: # pragma: no cover
"""Create all metadata tables in the database."""
if self.engine_instance is None:
self.engine_instance = self.get_engine()
with self.engine_instance.begin() as conn:
try:
loop = asyncio.get_event_loop()
await loop.run_in_executor(
None, metadata_registry.get(None if self.bind_key == "default" else self.bind_key).create_all, conn
)
except OperationalError as exc:
echo(f" * Could not create target metadata. Reason: {exc}")
def init_app(self, app: "Sanic[Any, Any]", bootstrap: "Extend") -> None: # pyright: ignore[reportUnknownParameterType,reportInvalidTypeForm]
"""Initialize the Sanic application with this configuration.
Args:
app: The Sanic application instance.
bootstrap: The Sanic extension bootstrap.
"""
self._app = app
self.bind_key = self.bind_key or "default"
_ = self.create_session_maker()
self.session_key = _make_unique_context_key(app, f"advanced_alchemy_sync_session_{self.session_key}")
self.engine_key = _make_unique_context_key(app, f"advanced_alchemy_sync_engine_{self.engine_key}")
self.session_maker_key = _make_unique_context_key(
app, f"advanced_alchemy_sync_session_maker_{self.session_maker_key}"
)
self.startup(bootstrap) # pyright: ignore[reportUnknownMemberType,reportUnknownArgumentType]
def startup(self, bootstrap: "Extend") -> None: # pyright: ignore[reportUnknownParameterType,reportInvalidTypeForm]
"""Initialize the Sanic application with this configuration.
Args:
bootstrap: The Sanic extension bootstrap.
"""
@self.app.before_server_start # pyright: ignore[reportUnknownMemberType]
async def on_startup(_: Any) -> None: # pyright: ignore[reportUnusedFunction]
setattr(self.app.ctx, self.engine_key, self.get_engine()) # pyright: ignore[reportUnknownMemberType,reportUnknownArgumentType,reportOptionalMemberAccess]
setattr(self.app.ctx, self.session_maker_key, self.create_session_maker()) # pyright: ignore[reportUnknownMemberType,reportUnknownArgumentType,reportOptionalMemberAccess]
bootstrap.add_dependency( # pyright: ignore[reportUnknownMemberType]
AsyncEngine,
self.get_engine_from_request,
)
bootstrap.add_dependency( # pyright: ignore[reportUnknownMemberType]
sessionmaker[Session],
self.get_sessionmaker_from_request,
)
bootstrap.add_dependency( # pyright: ignore[reportUnknownMemberType]
AsyncSession,
self.get_session_from_request,
)
await self.on_startup()
@self.app.after_server_stop # pyright: ignore[reportUnknownMemberType]
async def on_shutdown(_: Any) -> None: # pyright: ignore[reportUnusedFunction]
await self.on_shutdown()
@self.app.middleware("request") # pyright: ignore[reportUnknownMemberType]
async def on_request(request: Request) -> None: # pyright: ignore[reportUnusedFunction]
session = cast("Optional[Session]", getattr(request.ctx, self.session_key, None))
if session is None:
setattr(request.ctx, self.session_key, self.get_session())
@self.app.middleware("response") # type: ignore[arg-type]
async def on_response(request: Request, response: HTTPResponse) -> None: # pyright: ignore[reportUnusedFunction]
session = cast("Optional[Session]", getattr(request.ctx, self.session_key, None))
if session is not None:
await self.session_handler(session=session, request=request, response=response)
async def on_startup(self) -> None:
"""Initialize the Sanic application with this configuration."""
if self.create_all:
await self.create_all_metadata()
def create_session_maker(self) -> Callable[[], "Session"]:
"""Get a session maker. If none exists yet, create one.
Returns:
Callable[[], Session]: Session factory used by the plugin.
"""
if self.session_maker:
return self.session_maker
session_kws = self.session_config_dict
if self.engine_instance is None:
self.engine_instance = self.get_engine()
if session_kws.get("bind") is None:
session_kws["bind"] = self.engine_instance
self.session_maker = self.session_maker_class(**session_kws)
return self.session_maker
async def session_handler(
self, session: "Session", request: "Request", response: "HTTPResponse"
) -> None: # pragma: no cover
"""Handles the session after a request is processed.
Applies the commit strategy and ensures the session is closed.
Args:
session (sqlalchemy.orm.Session):
The database session.
request (sanic.Request):
The incoming HTTP request.
response (sanic.HTTPResponse):
The outgoing HTTP response.
Returns:
None
"""
loop = asyncio.get_event_loop()
try:
if (self.commit_mode == "autocommit" and 200 <= response.status < 300) or ( # noqa: PLR2004
self.commit_mode == "autocommit_include_redirect" and 200 <= response.status < 400 # noqa: PLR2004
):
await loop.run_in_executor(None, session.commit)
else:
await loop.run_in_executor(None, session.rollback)
finally:
await loop.run_in_executor(None, session.close)
with contextlib.suppress(AttributeError, KeyError):
delattr(request.ctx, self.session_key)
def get_engine_from_request(self, request: Request) -> "AsyncEngine":
"""Retrieve the engine from the request context.
Args:
request (sanic.Request): The incoming request.
Returns:
AsyncEngine: The SQLAlchemy engine.
"""
return cast("AsyncEngine", getattr(request.app.ctx, self.engine_key, self.get_engine())) # pragma: no cover
def get_sessionmaker_from_request(self, request: Request) -> sessionmaker[Session]:
"""Retrieve the session maker from the request context.
Args:
request (sanic.Request): The incoming request.
Returns:
SessionMakerT: The session maker.
"""
return cast(sessionmaker[Session], getattr(request.app.ctx, self.session_maker_key, None)) # pragma: no cover
def get_session_from_request(self, request: Request) -> "Session":
"""Retrieve the session from the request context.
Args:
request (sanic.Request): The incoming request.
Returns:
SessionT: The session associated with the request.
"""
return cast("Session", getattr(request.ctx, self.session_key, None)) # pragma: no cover
async def close_engine(self) -> None: # pragma: no cover
"""Close the engine."""
if self.engine_instance is not None:
loop = asyncio.get_event_loop()
await loop.run_in_executor(None, self.engine_instance.dispose)
async def on_shutdown(self) -> None: # pragma: no cover
"""Handles the shutdown event by disposing of the SQLAlchemy engine.
Ensures that all connections are properly closed during application shutdown.
Returns:
None
"""
await self.close_engine()
if hasattr(self.app.ctx, self.engine_key): # pyright: ignore[reportUnknownMemberType,reportUnknownArgumentType,reportOptionalMemberAccess]
delattr(self.app.ctx, self.engine_key) # pyright: ignore[reportUnknownMemberType,reportUnknownArgumentType,reportOptionalMemberAccess]
if hasattr(self.app.ctx, self.session_maker_key): # pyright: ignore[reportUnknownMemberType,reportUnknownArgumentType,reportOptionalMemberAccess]
delattr(self.app.ctx, self.session_maker_key) # pyright: ignore[reportUnknownMemberType,reportUnknownArgumentType,reportOptionalMemberAccess]
python-advanced-alchemy-0.34.0/advanced_alchemy/extensions/sanic/extension.py 0000664 0000000 0000000 00000025633 14763441450 0027454 0 ustar 00root root 0000000 0000000 from collections.abc import AsyncGenerator, Generator, Sequence
from contextlib import asynccontextmanager, contextmanager
from typing import TYPE_CHECKING, Any, Callable, Optional, Union, cast, overload
from sanic import Request, Sanic
from advanced_alchemy.exceptions import ImproperConfigurationError, MissingDependencyError
from advanced_alchemy.extensions.sanic.config import SQLAlchemyAsyncConfig, SQLAlchemySyncConfig
try:
from sanic_ext import Extend
from sanic_ext.extensions.base import Extension
SANIC_INSTALLED = True
except ModuleNotFoundError: # pragma: no cover
SANIC_INSTALLED = False # pyright: ignore[reportConstantRedefinition]
Extension = type("Extension", (), {}) # type: ignore # noqa: PGH003
Extend = type("Extend", (), {}) # type: ignore # noqa: PGH003
if TYPE_CHECKING:
from sanic import Sanic
from sqlalchemy import Engine
from sqlalchemy.ext.asyncio import AsyncEngine, AsyncSession
from sqlalchemy.orm import Session
__all__ = ("AdvancedAlchemy",)
class AdvancedAlchemy(Extension): # type: ignore[no-untyped-call] # pyright: ignore[reportGeneralTypeIssues,reportUntypedBaseClass]
"""Sanic extension for integrating Advanced Alchemy with SQLAlchemy.
Args:
config: One or more configurations for SQLAlchemy.
app: The Sanic application instance.
"""
name = "AdvancedAlchemy"
def __init__(
self,
*,
sqlalchemy_config: Union[
"SQLAlchemyAsyncConfig",
"SQLAlchemySyncConfig",
Sequence[Union["SQLAlchemyAsyncConfig", "SQLAlchemySyncConfig"]],
],
sanic_app: Optional["Sanic[Any, Any]"] = None,
) -> None:
if not SANIC_INSTALLED: # pragma: no cover
msg = "Could not locate either Sanic or Sanic Extensions. Both libraries must be installed to use Advanced Alchemy. Try: pip install sanic[ext]"
raise MissingDependencyError(msg)
self._config = sqlalchemy_config if isinstance(sqlalchemy_config, Sequence) else [sqlalchemy_config]
self._mapped_configs: dict[str, Union[SQLAlchemyAsyncConfig, SQLAlchemySyncConfig]] = self.map_configs()
self._app = sanic_app
self._initialized = False
if self._app is not None:
self.register(self._app)
def register(self, sanic_app: "Sanic[Any, Any]") -> None:
"""Initialize the extension with the given Sanic app."""
self._app = sanic_app
Extend.register(self) # pyright: ignore[reportUnknownMemberType,reportAttributeAccessIssue]
self._initialized = True
@property
def sanic_app(self) -> "Sanic[Any, Any]":
"""The Sanic app."""
if self._app is None: # pragma: no cover
msg = "AdvancedAlchemy has not been initialized with a Sanic app."
raise ImproperConfigurationError(msg)
return self._app
@property
def sqlalchemy_config(self) -> Sequence[Union["SQLAlchemyAsyncConfig", "SQLAlchemySyncConfig"]]:
"""Current Advanced Alchemy configuration."""
return self._config
def startup(self, bootstrap: "Extend") -> None: # pyright: ignore[reportUnknownParameterType,reportInvalidTypeForm]
"""Advanced Alchemy Sanic extension startup hook.
Args:
bootstrap (sanic_ext.Extend): The Sanic extension bootstrap.
"""
for config in self.sqlalchemy_config:
config.init_app(self.sanic_app, bootstrap) # pyright: ignore[reportUnknownMemberType,reportUnknownArgumentType]
def map_configs(self) -> dict[str, Union["SQLAlchemyAsyncConfig", "SQLAlchemySyncConfig"]]:
"""Maps the configs to the session bind keys."""
mapped_configs: dict[str, Union[SQLAlchemyAsyncConfig, SQLAlchemySyncConfig]] = {}
for config in self.sqlalchemy_config:
if config.bind_key is None:
config.bind_key = "default"
mapped_configs[config.bind_key] = config
return mapped_configs
def get_config(self, key: Optional[str] = None) -> Union["SQLAlchemyAsyncConfig", "SQLAlchemySyncConfig"]:
"""Get the config for the given key."""
if key is None:
key = "default"
if key == "default" and len(self.sqlalchemy_config) == 1:
key = self.sqlalchemy_config[0].bind_key or "default"
config = self._mapped_configs.get(key)
if config is None: # pragma: no cover
msg = f"Config with key {key} not found"
raise ImproperConfigurationError(msg)
return config
def get_async_config(self, key: Optional[str] = None) -> "SQLAlchemyAsyncConfig":
"""Get the async config for the given key."""
config = self.get_config(key)
if not isinstance(config, SQLAlchemyAsyncConfig): # pragma: no cover
msg = "Expected an async config, but got a sync config"
raise ImproperConfigurationError(msg)
return config
def get_sync_config(self, key: Optional[str] = None) -> "SQLAlchemySyncConfig":
"""Get the sync config for the given key."""
config = self.get_config(key)
if not isinstance(config, SQLAlchemySyncConfig): # pragma: no cover
msg = "Expected a sync config, but got an async config"
raise ImproperConfigurationError(msg)
return config
@asynccontextmanager
async def with_async_session(
self, key: Optional[str] = None
) -> AsyncGenerator["AsyncSession", None]: # pragma: no cover
"""Context manager for getting an async session."""
config = self.get_async_config(key)
async with config.get_session() as session:
yield session
@contextmanager
def with_sync_session(self, key: Optional[str] = None) -> Generator["Session", None]: # pragma: no cover
"""Context manager for getting a sync session."""
config = self.get_sync_config(key)
with config.get_session() as session:
yield session
@overload
@staticmethod
def _get_session_from_request(request: "Request", config: "SQLAlchemyAsyncConfig") -> "AsyncSession": ...
@overload
@staticmethod
def _get_session_from_request(request: "Request", config: "SQLAlchemySyncConfig") -> "Session": ...
@staticmethod
def _get_session_from_request(
request: "Request",
config: Union["SQLAlchemyAsyncConfig", "SQLAlchemySyncConfig"], # pragma: no cover
) -> Union["Session", "AsyncSession"]: # pragma: no cover
"""Get the session for the given key."""
session = getattr(request.ctx, config.session_key, None)
if session is None:
setattr(request.ctx, config.session_key, config.get_session())
return cast(Union["Session", "AsyncSession"], session)
def get_session(
self, request: "Request", key: Optional[str] = None
) -> Union["Session", "AsyncSession"]: # pragma: no cover
"""Get the session for the given key."""
config = self.get_config(key)
return self._get_session_from_request(request, config)
def get_async_session(self, request: "Request", key: Optional[str] = None) -> "AsyncSession": # pragma: no cover
"""Get the async session for the given key."""
config = self.get_async_config(key)
return self._get_session_from_request(request, config)
def get_sync_session(self, request: "Request", key: Optional[str] = None) -> "Session": # pragma: no cover
"""Get the sync session for the given key."""
config = self.get_sync_config(key)
return self._get_session_from_request(request, config)
def provide_session(
self, key: Optional[str] = None
) -> Callable[["Request"], Union["Session", "AsyncSession"]]: # pragma: no cover
"""Get the session for the given key."""
config = self.get_config(key)
def _get_session(request: "Request") -> Union["Session", "AsyncSession"]:
return self._get_session_from_request(request, config)
return _get_session
def provide_async_session(
self, key: Optional[str] = None
) -> Callable[["Request"], "AsyncSession"]: # pragma: no cover
"""Get the async session for the given key."""
config = self.get_async_config(key)
def _get_session(request: Request) -> "AsyncSession":
return self._get_session_from_request(request, config)
return _get_session
def provide_sync_session(self, key: Optional[str] = None) -> Callable[[Request], "Session"]: # pragma: no cover
"""Get the sync session for the given key."""
config = self.get_sync_config(key)
def _get_session(request: Request) -> "Session":
return self._get_session_from_request(request, config)
return _get_session
def get_engine(self, key: Optional[str] = None) -> Union["Engine", "AsyncEngine"]: # pragma: no cover
"""Get the engine for the given key."""
config = self.get_config(key)
return config.get_engine()
def get_async_engine(self, key: Optional[str] = None) -> "AsyncEngine": # pragma: no cover
"""Get the async engine for the given key."""
config = self.get_async_config(key)
return config.get_engine()
def get_sync_engine(self, key: Optional[str] = None) -> "Engine": # pragma: no cover
"""Get the sync engine for the given key."""
config = self.get_sync_config(key)
return config.get_engine()
def provide_engine(
self, key: Optional[str] = None
) -> Callable[[], Union["Engine", "AsyncEngine"]]: # pragma: no cover
"""Get the engine for the given key."""
config = self.get_config(key)
def _get_engine() -> Union["Engine", "AsyncEngine"]:
return config.get_engine()
return _get_engine
def provide_async_engine(self, key: Optional[str] = None) -> Callable[[], "AsyncEngine"]: # pragma: no cover
"""Get the async engine for the given key."""
config = self.get_async_config(key)
def _get_engine() -> "AsyncEngine":
return config.get_engine()
return _get_engine
def provide_sync_engine(self, key: Optional[str] = None) -> Callable[[], "Engine"]: # pragma: no cover
"""Get the sync engine for the given key."""
config = self.get_sync_config(key)
def _get_engine() -> "Engine":
return config.get_engine()
return _get_engine
def add_session_dependency(
self, session_type: type[Union["Session", "AsyncSession"]], key: Optional[str] = None
) -> None:
"""Add a session dependency to the Sanic app."""
self.sanic_app.ext.add_dependency(session_type, self.provide_session(key)) # pyright: ignore[reportUnknownMemberType]
def add_engine_dependency(
self, engine_type: type[Union["Engine", "AsyncEngine"]], key: Optional[str] = None
) -> None:
"""Add an engine dependency to the Sanic app."""
self.sanic_app.ext.add_dependency(engine_type, self.provide_engine(key)) # pyright: ignore[reportUnknownMemberType]
python-advanced-alchemy-0.34.0/advanced_alchemy/extensions/starlette/ 0000775 0000000 0000000 00000000000 14763441450 0025767 5 ustar 00root root 0000000 0000000 python-advanced-alchemy-0.34.0/advanced_alchemy/extensions/starlette/__init__.py 0000664 0000000 0000000 00000001774 14763441450 0030111 0 ustar 00root root 0000000 0000000 """Starlette extension for Advanced Alchemy.
This module provides Starlette integration for Advanced Alchemy, including session management and service utilities.
"""
from advanced_alchemy import base, exceptions, filters, mixins, operations, repository, service, types, utils
from advanced_alchemy.alembic.commands import AlembicCommands
from advanced_alchemy.config import AlembicAsyncConfig, AlembicSyncConfig, AsyncSessionConfig, SyncSessionConfig
from advanced_alchemy.extensions.starlette.config import EngineConfig, SQLAlchemyAsyncConfig, SQLAlchemySyncConfig
from advanced_alchemy.extensions.starlette.extension import AdvancedAlchemy
__all__ = (
"AdvancedAlchemy",
"AlembicAsyncConfig",
"AlembicCommands",
"AlembicSyncConfig",
"AsyncSessionConfig",
"EngineConfig",
"SQLAlchemyAsyncConfig",
"SQLAlchemySyncConfig",
"SyncSessionConfig",
"base",
"exceptions",
"filters",
"mixins",
"operations",
"repository",
"service",
"types",
"utils",
)
python-advanced-alchemy-0.34.0/advanced_alchemy/extensions/starlette/config.py 0000664 0000000 0000000 00000036113 14763441450 0027612 0 ustar 00root root 0000000 0000000 """Configuration classes for Starlette integration.
This module provides configuration classes for integrating SQLAlchemy with Starlette applications,
including both synchronous and asynchronous database configurations.
"""
import contextlib
from dataclasses import dataclass, field
from typing import TYPE_CHECKING, Any, Callable, Optional, cast
from click import echo
from sqlalchemy.exc import OperationalError
from starlette.concurrency import run_in_threadpool
from starlette.middleware.base import BaseHTTPMiddleware
from typing_extensions import Literal
from advanced_alchemy._serialization import decode_json, encode_json
from advanced_alchemy.base import metadata_registry
from advanced_alchemy.config import EngineConfig as _EngineConfig
from advanced_alchemy.config.asyncio import SQLAlchemyAsyncConfig as _SQLAlchemyAsyncConfig
from advanced_alchemy.config.sync import SQLAlchemySyncConfig as _SQLAlchemySyncConfig
from advanced_alchemy.service import schema_dump
if TYPE_CHECKING:
from sqlalchemy.ext.asyncio import AsyncSession
from sqlalchemy.orm import Session
from starlette.applications import Starlette
from starlette.middleware.base import RequestResponseEndpoint
from starlette.requests import Request
from starlette.responses import Response
def _make_unique_state_key(app: "Starlette", key: str) -> str: # pragma: no cover
"""Generates a unique state key for the Starlette application.
Ensures that the key does not already exist in the application's state.
Args:
app (starlette.applications.Starlette): The Starlette application instance.
key (str): The base key name.
Returns:
str: A unique key name.
"""
i = 0
while True:
if not hasattr(app.state, key):
return key
key = f"{key}_{i}"
i += i
def serializer(value: Any) -> str:
"""Serialize JSON field values.
Args:
value: Any JSON serializable value.
Returns:
str: JSON string representation of the value.
"""
return encode_json(schema_dump(value))
@dataclass
class EngineConfig(_EngineConfig):
"""Configuration for SQLAlchemy's Engine.
This class extends the base EngineConfig with Starlette-specific JSON serialization options.
For details see: https://docs.sqlalchemy.org/en/20/core/engines.html
Attributes:
json_deserializer: Callable for converting JSON strings to Python objects.
json_serializer: Callable for converting Python objects to JSON strings.
"""
json_deserializer: Callable[[str], Any] = decode_json
"""For dialects that support the :class:`~sqlalchemy.types.JSON` datatype, this is a Python callable that will
convert a JSON string to a Python object. But default, this uses the built-in serializers."""
json_serializer: Callable[[Any], str] = serializer
"""For dialects that support the JSON datatype, this is a Python callable that will render a given object as JSON.
By default, By default, the built-in serializer is used."""
@dataclass
class SQLAlchemyAsyncConfig(_SQLAlchemyAsyncConfig):
"""SQLAlchemy Async config for Starlette."""
app: "Optional[Starlette]" = None
"""The Starlette application instance."""
commit_mode: Literal["manual", "autocommit", "autocommit_include_redirect"] = "manual"
"""The commit mode to use for database sessions."""
engine_key: str = "db_engine"
"""Key to use for the dependency injection of database engines."""
session_key: str = "db_session"
"""Key to use for the dependency injection of database sessions."""
session_maker_key: str = "session_maker_class"
"""Key under which to store the SQLAlchemy :class:`sessionmaker ` in the application state instance.
"""
engine_config: EngineConfig = field(default_factory=EngineConfig) # pyright: ignore[reportIncompatibleVariableOverride]
"""Configuration for the SQLAlchemy engine.
The configuration options are documented in the SQLAlchemy documentation.
"""
async def create_all_metadata(self) -> None: # pragma: no cover
"""Create all metadata tables in the database."""
if self.engine_instance is None:
self.engine_instance = self.get_engine()
async with self.engine_instance.begin() as conn:
try:
await conn.run_sync(
metadata_registry.get(None if self.bind_key == "default" else self.bind_key).create_all
)
await conn.commit()
except OperationalError as exc:
echo(f" * Could not create target metadata. Reason: {exc}")
else:
echo(" * Created target metadata.")
def init_app(self, app: "Starlette") -> None:
"""Initialize the Starlette application with this configuration.
Args:
app: The Starlette application instance.
"""
self.app = app
self.bind_key = self.bind_key or "default"
_ = self.create_session_maker()
self.session_key = _make_unique_state_key(app, f"advanced_alchemy_async_session_{self.session_key}")
self.engine_key = _make_unique_state_key(app, f"advanced_alchemy_async_engine_{self.engine_key}")
self.session_maker_key = _make_unique_state_key(
app, f"advanced_alchemy_async_session_maker_{self.session_maker_key}"
)
app.add_middleware(BaseHTTPMiddleware, dispatch=self.middleware_dispatch)
async def on_startup(self) -> None:
"""Initialize the Starlette application with this configuration."""
if self.create_all:
await self.create_all_metadata()
def create_session_maker(self) -> Callable[[], "AsyncSession"]:
"""Get a session maker. If none exists yet, create one.
Returns:
Callable[[], Session]: Session factory used by the plugin.
"""
if self.session_maker:
return self.session_maker
session_kws = self.session_config_dict
if self.engine_instance is None:
self.engine_instance = self.get_engine()
if session_kws.get("bind") is None:
session_kws["bind"] = self.engine_instance
self.session_maker = self.session_maker_class(**session_kws)
return self.session_maker
async def session_handler(
self, session: "AsyncSession", request: "Request", response: "Response"
) -> None: # pragma: no cover
"""Handles the session after a request is processed.
Applies the commit strategy and ensures the session is closed.
Args:
session (sqlalchemy.ext.asyncio.AsyncSession):
The database session.
request (starlette.requests.Request):
The incoming HTTP request.
response (starlette.responses.Response):
The outgoing HTTP response.
Returns:
None
"""
try:
if (self.commit_mode == "autocommit" and 200 <= response.status_code < 300) or ( # noqa: PLR2004
self.commit_mode == "autocommit_include_redirect" and 200 <= response.status_code < 400 # noqa: PLR2004
):
await session.commit()
else:
await session.rollback()
finally:
await session.close()
with contextlib.suppress(AttributeError, KeyError):
delattr(request.state, self.session_key)
async def middleware_dispatch(
self, request: "Request", call_next: "RequestResponseEndpoint"
) -> "Response": # pragma: no cover
"""Middleware dispatch function to handle requests and responses.
Processes the request, invokes the next middleware or route handler, and
applies the session handler after the response is generated.
Args:
request (starlette.requests.Request): The incoming HTTP request.
call_next (starlette.middleware.base.RequestResponseEndpoint):
The next middleware or route handler.
Returns:
starlette.responses.Response: The HTTP response.
"""
response = await call_next(request)
session = cast("Optional[AsyncSession]", getattr(request.state, self.session_key, None))
if session is not None:
await self.session_handler(session=session, request=request, response=response)
return response
async def close_engine(self) -> None: # pragma: no cover
"""Close the engine."""
if self.engine_instance is not None:
await self.engine_instance.dispose()
async def on_shutdown(self) -> None: # pragma: no cover
"""Handles the shutdown event by disposing of the SQLAlchemy engine.
Ensures that all connections are properly closed during application shutdown.
Returns:
None
"""
await self.close_engine()
if self.app is not None:
with contextlib.suppress(AttributeError, KeyError):
delattr(self.app.state, self.engine_key)
delattr(self.app.state, self.session_maker_key)
delattr(self.app.state, self.session_key)
@dataclass
class SQLAlchemySyncConfig(_SQLAlchemySyncConfig):
"""SQLAlchemy Sync config for Starlette."""
app: "Optional[Starlette]" = None
"""The Starlette application instance."""
commit_mode: Literal["manual", "autocommit", "autocommit_include_redirect"] = "manual"
"""The commit mode to use for database sessions."""
engine_key: str = "db_engine"
"""Key to use for the dependency injection of database engines."""
session_key: str = "db_session"
"""Key to use for the dependency injection of database sessions."""
session_maker_key: str = "session_maker_class"
"""Key under which to store the SQLAlchemy :class:`sessionmaker ` in the application state instance.
"""
engine_config: EngineConfig = field(default_factory=EngineConfig) # pyright: ignore[reportIncompatibleVariableOverride]
"""Configuration for the SQLAlchemy engine.
The configuration options are documented in the SQLAlchemy documentation.
"""
async def create_all_metadata(self) -> None: # pragma: no cover
"""Create all metadata tables in the database."""
if self.engine_instance is None:
self.engine_instance = self.get_engine()
with self.engine_instance.begin() as conn:
try:
await run_in_threadpool(
metadata_registry.get(None if self.bind_key == "default" else self.bind_key).create_all, conn
)
except OperationalError as exc:
echo(f" * Could not create target metadata. Reason: {exc}")
def init_app(self, app: "Starlette") -> None:
"""Initialize the Starlette application with this configuration.
Args:
app: The Starlette application instance.
"""
self.app = app
self.bind_key = self.bind_key or "default"
self.session_key = _make_unique_state_key(app, f"advanced_alchemy_sync_session_{self.session_key}")
self.engine_key = _make_unique_state_key(app, f"advanced_alchemy_sync_engine_{self.engine_key}")
self.session_maker_key = _make_unique_state_key(
app, f"advanced_alchemy_sync_session_maker_{self.session_maker_key}"
)
_ = self.create_session_maker()
app.add_middleware(BaseHTTPMiddleware, dispatch=self.middleware_dispatch)
async def on_startup(self) -> None:
"""Initialize the Starlette application with this configuration."""
if self.create_all:
await self.create_all_metadata()
def create_session_maker(self) -> Callable[[], "Session"]:
"""Get a session maker. If none exists yet, create one.
Returns:
Callable[[], Session]: Session factory used by the plugin.
"""
if self.session_maker:
return self.session_maker
session_kws = self.session_config_dict
if self.engine_instance is None:
self.engine_instance = self.get_engine()
if session_kws.get("bind") is None:
session_kws["bind"] = self.engine_instance
self.session_maker = self.session_maker_class(**session_kws)
return self.session_maker
async def session_handler(
self, session: "Session", request: "Request", response: "Response"
) -> None: # pragma: no cover
"""Handles the session after a request is processed.
Applies the commit strategy and ensures the session is closed.
Args:
session (sqlalchemy.orm.Session | sqlalchemy.ext.asyncio.AsyncSession):
The database session.
request (starlette.requests.Request):
The incoming HTTP request.
response (starlette.responses.Response):
The outgoing HTTP response.
Returns:
None
"""
try:
if (self.commit_mode == "autocommit" and 200 <= response.status_code < 300) or ( # noqa: PLR2004
self.commit_mode == "autocommit_include_redirect" and 200 <= response.status_code < 400 # noqa: PLR2004
):
await run_in_threadpool(session.commit)
else:
await run_in_threadpool(session.rollback)
finally:
await run_in_threadpool(session.close)
with contextlib.suppress(AttributeError, KeyError):
delattr(request.state, self.session_key)
async def middleware_dispatch(
self, request: "Request", call_next: "RequestResponseEndpoint"
) -> "Response": # pragma: no cover
"""Middleware dispatch function to handle requests and responses.
Processes the request, invokes the next middleware or route handler, and
applies the session handler after the response is generated.
Args:
request (starlette.requests.Request): The incoming HTTP request.
call_next (starlette.middleware.base.RequestResponseEndpoint):
The next middleware or route handler.
Returns:
starlette.responses.Response: The HTTP response.
"""
response = await call_next(request)
session = cast("Optional[Session]", getattr(request.state, self.session_key, None))
if session is not None:
await self.session_handler(session=session, request=request, response=response)
return response
async def close_engine(self) -> None: # pragma: no cover
"""Close the engines."""
if self.engine_instance is not None:
await run_in_threadpool(self.engine_instance.dispose)
async def on_shutdown(self) -> None: # pragma: no cover
"""Handles the shutdown event by disposing of the SQLAlchemy engine.
Ensures that all connections are properly closed during application shutdown.
Returns:
None
"""
await self.close_engine()
if self.app is not None:
with contextlib.suppress(AttributeError, KeyError):
delattr(self.app.state, self.engine_key)
delattr(self.app.state, self.session_maker_key)
delattr(self.app.state, self.session_key)
python-advanced-alchemy-0.34.0/advanced_alchemy/extensions/starlette/extension.py 0000664 0000000 0000000 00000026661 14763441450 0030370 0 ustar 00root root 0000000 0000000 # ruff: noqa: ARG001
import contextlib
from collections.abc import AsyncGenerator, Generator, Sequence
from contextlib import asynccontextmanager, contextmanager
from typing import (
TYPE_CHECKING,
Any,
Callable,
Optional,
Union,
cast,
overload,
)
from starlette.requests import Request
from advanced_alchemy.exceptions import ImproperConfigurationError
from advanced_alchemy.extensions.starlette.config import SQLAlchemyAsyncConfig, SQLAlchemySyncConfig
if TYPE_CHECKING:
from sqlalchemy import Engine
from sqlalchemy.ext.asyncio import AsyncEngine, AsyncSession
from sqlalchemy.orm import Session
from starlette.applications import Starlette
class AdvancedAlchemy:
"""AdvancedAlchemy integration for Starlette applications.
This class manages SQLAlchemy sessions and engine lifecycle within a Starlette application.
It provides middleware for handling transactions based on commit strategies.
Args:
config (advanced_alchemy.config.asyncio.SQLAlchemyAsyncConfig | advanced_alchemy.config.sync.SQLAlchemySyncConfig):
The SQLAlchemy configuration.
app (starlette.applications.Starlette | None):
The Starlette application instance. Defaults to None.
"""
def __init__(
self,
config: Union[
SQLAlchemyAsyncConfig, SQLAlchemySyncConfig, Sequence[Union[SQLAlchemyAsyncConfig, SQLAlchemySyncConfig]]
],
app: Optional["Starlette"] = None,
) -> None:
self._config = config if isinstance(config, Sequence) else [config]
self._mapped_configs: dict[str, Union[SQLAlchemyAsyncConfig, SQLAlchemySyncConfig]] = self.map_configs()
self._app = cast("Optional[Starlette]", None)
if app is not None:
self.init_app(app)
@property
def config(self) -> Sequence[Union[SQLAlchemyAsyncConfig, SQLAlchemySyncConfig]]:
"""Current Advanced Alchemy configuration."""
return self._config
def init_app(self, app: "Starlette") -> None:
"""Initializes the Starlette application with SQLAlchemy engine and sessionmaker.
Sets up middleware and shutdown handlers for managing the database engine.
Args:
app (starlette.applications.Starlette): The Starlette application instance.
"""
self._app = app
unique_bind_keys = {config.bind_key for config in self.config}
if len(unique_bind_keys) != len(self.config): # pragma: no cover
msg = "Please ensure that each config has a unique name for the `bind_key` attribute. The default is `default` and can only be bound to a single engine."
raise ImproperConfigurationError(msg)
for config in self.config:
config.init_app(app)
app.state.advanced_alchemy = self
original_lifespan = app.router.lifespan_context
@asynccontextmanager
async def wrapped_lifespan(app: "Starlette") -> AsyncGenerator[Any, None]: # pragma: no cover
async with self.lifespan(app), original_lifespan(app) as state:
yield state
app.router.lifespan_context = wrapped_lifespan
@asynccontextmanager
async def lifespan(self, app: "Starlette") -> AsyncGenerator[Any, None]: # pragma: no cover
"""Context manager for lifespan events.
Args:
app: The starlette application.
Yields:
None
"""
await self.on_startup()
try:
yield
finally:
await self.on_shutdown()
@property
def app(self) -> "Starlette": # pragma: no cover
"""Returns the Starlette application instance.
Raises:
advanced_alchemy.exceptions.ImproperConfigurationError:
If the application is not initialized.
Returns:
starlette.applications.Starlette: The Starlette application instance.
"""
if self._app is None: # pragma: no cover
msg = "Application not initialized. Did you forget to call init_app?"
raise ImproperConfigurationError(msg)
return self._app
async def on_startup(self) -> None: # pragma: no cover
"""Initializes the database."""
for config in self.config:
await config.on_startup()
async def on_shutdown(self) -> None: # pragma: no cover
"""Handles the shutdown event by disposing of the SQLAlchemy engine.
Ensures that all connections are properly closed during application shutdown.
Returns:
None
"""
for config in self.config:
await config.on_shutdown()
with contextlib.suppress(AttributeError, KeyError):
delattr(self.app.state, "advanced_alchemy")
def map_configs(self) -> dict[str, Union[SQLAlchemyAsyncConfig, SQLAlchemySyncConfig]]:
"""Maps the configs to the session bind keys."""
mapped_configs: dict[str, Union[SQLAlchemyAsyncConfig, SQLAlchemySyncConfig]] = {}
for config in self.config:
if config.bind_key is None:
config.bind_key = "default"
mapped_configs[config.bind_key] = config
return mapped_configs
def get_config(self, key: Optional[str] = None) -> Union[SQLAlchemyAsyncConfig, SQLAlchemySyncConfig]:
"""Get the config for the given key."""
if key is None:
key = "default"
if key == "default" and len(self.config) == 1:
key = self.config[0].bind_key or "default"
config = self._mapped_configs.get(key)
if config is None: # pragma: no cover
msg = f"Config with key {key} not found"
raise ImproperConfigurationError(msg)
return config
def get_async_config(self, key: Optional[str] = None) -> SQLAlchemyAsyncConfig:
"""Get the async config for the given key."""
config = self.get_config(key)
if not isinstance(config, SQLAlchemyAsyncConfig): # pragma: no cover
msg = "Expected an async config, but got a sync config"
raise ImproperConfigurationError(msg)
return config
def get_sync_config(self, key: Optional[str] = None) -> SQLAlchemySyncConfig:
"""Get the sync config for the given key."""
config = self.get_config(key)
if not isinstance(config, SQLAlchemySyncConfig): # pragma: no cover
msg = "Expected a sync config, but got an async config"
raise ImproperConfigurationError(msg)
return config
@asynccontextmanager
async def with_async_session(
self, key: Optional[str] = None
) -> AsyncGenerator["AsyncSession", None]: # pragma: no cover
"""Context manager for getting an async session."""
config = self.get_async_config(key)
async with config.get_session() as session:
yield session
@contextmanager
def with_sync_session(self, key: Optional[str] = None) -> Generator["Session", None]: # pragma: no cover
"""Context manager for getting a sync session."""
config = self.get_sync_config(key)
with config.get_session() as session:
yield session
@overload
@staticmethod
def _get_session_from_request(request: Request, config: SQLAlchemyAsyncConfig) -> "AsyncSession": ...
@overload
@staticmethod
def _get_session_from_request(request: Request, config: SQLAlchemySyncConfig) -> "Session": ...
@staticmethod
def _get_session_from_request(
request: Request,
config: Union[SQLAlchemyAsyncConfig, SQLAlchemySyncConfig], # pragma: no cover
) -> Union["Session", "AsyncSession"]: # pragma: no cover
"""Get the session for the given key."""
session = getattr(request.state, config.session_key, None)
if session is None:
session = config.create_session_maker()()
setattr(request.state, config.session_key, session)
return session
def get_session(
self, request: Request, key: Optional[str] = None
) -> Union["Session", "AsyncSession"]: # pragma: no cover
"""Get the session for the given key."""
config = self.get_config(key)
return self._get_session_from_request(request, config)
def get_async_session(self, request: Request, key: Optional[str] = None) -> "AsyncSession": # pragma: no cover
"""Get the async session for the given key."""
config = self.get_async_config(key)
return self._get_session_from_request(request, config)
def get_sync_session(self, request: Request, key: Optional[str] = None) -> "Session": # pragma: no cover
"""Get the sync session for the given key."""
config = self.get_sync_config(key)
return self._get_session_from_request(request, config)
def provide_session(
self, key: Optional[str] = None
) -> Callable[[Request], Union["Session", "AsyncSession"]]: # pragma: no cover
"""Get the session for the given key."""
config = self.get_config(key)
def _get_session(request: Request) -> Union["Session", "AsyncSession"]:
return self._get_session_from_request(request, config)
return _get_session
def provide_async_session(
self, key: Optional[str] = None
) -> Callable[[Request], "AsyncSession"]: # pragma: no cover
"""Get the async session for the given key."""
config = self.get_async_config(key)
def _get_session(request: Request) -> "AsyncSession":
return self._get_session_from_request(request, config)
return _get_session
def provide_sync_session(self, key: Optional[str] = None) -> Callable[[Request], "Session"]: # pragma: no cover
"""Get the sync session for the given key."""
config = self.get_sync_config(key)
def _get_session(request: Request) -> "Session":
return self._get_session_from_request(request, config)
return _get_session
def get_engine(self, key: Optional[str] = None) -> Union["Engine", "AsyncEngine"]: # pragma: no cover
"""Get the engine for the given key."""
config = self.get_config(key)
return config.get_engine()
def get_async_engine(self, key: Optional[str] = None) -> "AsyncEngine": # pragma: no cover
"""Get the async engine for the given key."""
config = self.get_async_config(key)
return config.get_engine()
def get_sync_engine(self, key: Optional[str] = None) -> "Engine": # pragma: no cover
"""Get the sync engine for the given key."""
config = self.get_sync_config(key)
return config.get_engine()
def provide_engine(
self, key: Optional[str] = None
) -> Callable[[], Union["Engine", "AsyncEngine"]]: # pragma: no cover
"""Get the engine for the given key."""
config = self.get_config(key)
def _get_engine() -> Union["Engine", "AsyncEngine"]:
return config.get_engine()
return _get_engine
def provide_async_engine(self, key: Optional[str] = None) -> Callable[[], "AsyncEngine"]: # pragma: no cover
"""Get the async engine for the given key."""
config = self.get_async_config(key)
def _get_engine() -> "AsyncEngine":
return config.get_engine()
return _get_engine
def provide_sync_engine(self, key: Optional[str] = None) -> Callable[[], "Engine"]: # pragma: no cover
"""Get the sync engine for the given key."""
config = self.get_sync_config(key)
def _get_engine() -> "Engine":
return config.get_engine()
return _get_engine
python-advanced-alchemy-0.34.0/advanced_alchemy/filters.py 0000664 0000000 0000000 00000047651 14763441450 0023620 0 ustar 00root root 0000000 0000000 """SQLAlchemy filter constructs for advanced query operations.
This module provides a comprehensive collection of filter datastructures designed to
enhance SQLAlchemy query construction. It implements type-safe, reusable filter patterns
for common database query operations.
Features:
Type-safe filter construction, datetime range filtering, collection-based filtering,
pagination support, search operations, and customizable ordering.
Example:
Basic usage with a datetime filter::
import datetime
from advanced_alchemy.filters import BeforeAfter
filter = BeforeAfter(
field_name="created_at",
before=datetime.datetime.now(),
after=datetime.datetime(2023, 1, 1),
)
statement = filter.append_to_statement(select(Model), Model)
Note:
All filter classes implement the :class:`StatementFilter` ABC, ensuring consistent
interface across different filter types.
See Also:
- :class:`sqlalchemy.sql.expression.Select`: Core SQLAlchemy select expression
- :class:`sqlalchemy.orm.Query`: SQLAlchemy ORM query interface
- :mod:`advanced_alchemy.base`: Base model definitions
"""
from abc import ABC, abstractmethod
from dataclasses import dataclass
from operator import attrgetter
from typing import TYPE_CHECKING, Any, Callable, Generic, Literal, Optional, Union, cast
from sqlalchemy import BinaryExpression, ColumnElement, Delete, Select, Update, and_, any_, or_, text
from sqlalchemy.orm import InstrumentedAttribute
from typing_extensions import TypeAlias, TypeVar
if TYPE_CHECKING:
import datetime
from collections import abc
from sqlalchemy.sql.dml import ReturningDelete, ReturningUpdate
from advanced_alchemy import base
__all__ = (
"BeforeAfter",
"CollectionFilter",
"FilterTypes",
"InAnyFilter",
"LimitOffset",
"NotInCollectionFilter",
"NotInSearchFilter",
"OnBeforeAfter",
"OrderBy",
"PaginationFilter",
"SearchFilter",
"StatementFilter",
"StatementFilterT",
"StatementTypeT",
)
T = TypeVar("T")
ModelT = TypeVar("ModelT", bound="base.ModelProtocol")
StatementFilterT = TypeVar("StatementFilterT", bound="StatementFilter")
StatementTypeT = TypeVar(
"StatementTypeT",
bound="Union[ReturningDelete[tuple[Any]], ReturningUpdate[tuple[Any]], Select[tuple[Any]], Select[Any], Update, Delete]",
)
FilterTypes: TypeAlias = "Union[BeforeAfter, OnBeforeAfter, CollectionFilter[Any], LimitOffset, OrderBy, SearchFilter, NotInCollectionFilter[Any], NotInSearchFilter]"
"""Aggregate type alias of the types supported for collection filtering."""
class StatementFilter(ABC):
"""Abstract base class for SQLAlchemy statement filters.
This class defines the interface for all filter types in the system. Each filter
implementation must provide a method to append its filtering logic to an existing
SQLAlchemy statement.
"""
@abstractmethod
def append_to_statement(
self, statement: StatementTypeT, model: type[ModelT], *args: Any, **kwargs: Any
) -> StatementTypeT:
"""Append filter conditions to a SQLAlchemy statement.
Args:
statement: The SQLAlchemy statement to modify
model: The SQLAlchemy model class
*args: Additional positional arguments
**kwargs: Additional keyword arguments
Returns:
StatementTypeT: Modified SQLAlchemy statement with filter conditions applied
Raises:
NotImplementedError: If the concrete class doesn't implement this method
Note:
This method must be implemented by all concrete filter classes.
See Also:
:meth:`sqlalchemy.sql.expression.Select.where`: SQLAlchemy where clause
"""
return statement
@staticmethod
def _get_instrumented_attr(model: Any, key: "Union[str, InstrumentedAttribute[Any]]") -> InstrumentedAttribute[Any]:
"""Get SQLAlchemy instrumented attribute from model.
Args:
model: SQLAlchemy model class or instance
key: Attribute name or instrumented attribute
Returns:
InstrumentedAttribute[Any]: SQLAlchemy instrumented attribute
See Also:
:class:`sqlalchemy.orm.attributes.InstrumentedAttribute`: SQLAlchemy attribute
"""
if isinstance(key, str):
return cast("InstrumentedAttribute[Any]", getattr(model, key))
return key
@dataclass
class BeforeAfter(StatementFilter):
"""DateTime range filter with exclusive bounds.
This filter creates date/time range conditions using < and > operators,
excluding the boundary values.
If either `before` or `after` is None, that boundary condition is not applied.
See Also:
---------
:class:`OnBeforeAfter` : Inclusive datetime range filtering
"""
field_name: str
"""Name of the model attribute to filter on."""
before: "Optional[datetime.datetime]"
"""Filter results where field is earlier than this value."""
after: "Optional[datetime.datetime]"
"""Filter results where field is later than this value."""
def append_to_statement(self, statement: StatementTypeT, model: type[ModelT]) -> StatementTypeT:
"""Apply datetime range conditions to statement.
Parameters
----------
statement : StatementTypeT
The SQLAlchemy statement to modify
model : type[ModelT]
The SQLAlchemy model class
Returns:
--------
StatementTypeT
Modified statement with datetime range conditions
"""
field = self._get_instrumented_attr(model, self.field_name)
if self.before is not None:
statement = cast("StatementTypeT", statement.where(field < self.before))
if self.after is not None:
statement = cast("StatementTypeT", statement.where(field > self.after))
return statement
@dataclass
class OnBeforeAfter(StatementFilter):
"""DateTime range filter with inclusive bounds.
This filter creates date/time range conditions using <= and >= operators,
including the boundary values.
If either `on_or_before` or `on_or_after` is None, that boundary condition
is not applied.
See Also:
---------
:class:`BeforeAfter` : Exclusive datetime range filtering
"""
field_name: str
"""Name of the model attribute to filter on."""
on_or_before: "Optional[datetime.datetime]"
"""Filter results where field is on or earlier than this value."""
on_or_after: "Optional[datetime.datetime]"
"""Filter results where field is on or later than this value."""
def append_to_statement(self, statement: StatementTypeT, model: type[ModelT]) -> StatementTypeT:
"""Apply inclusive datetime range conditions to statement.
Parameters
----------
statement : StatementTypeT
The SQLAlchemy statement to modify
model : type[ModelT]
The SQLAlchemy model class
Returns:
--------
StatementTypeT
Modified statement with inclusive datetime range conditions
"""
field = self._get_instrumented_attr(model, self.field_name)
if self.on_or_before is not None:
statement = cast("StatementTypeT", statement.where(field <= self.on_or_before))
if self.on_or_after is not None:
statement = cast("StatementTypeT", statement.where(field >= self.on_or_after))
return statement
class InAnyFilter(StatementFilter, ABC):
"""Base class for filters using IN or ANY operators.
This abstract class provides common functionality for filters that check
membership in a collection using either the SQL IN operator or the ANY operator.
"""
@dataclass
class CollectionFilter(InAnyFilter, Generic[T]):
"""Data required to construct a WHERE ... IN (...) clause.
This filter restricts records based on a field's presence in a collection of values.
The filter supports both ``IN`` and ``ANY`` operators for collection membership testing.
Use ``prefer_any=True`` in ``append_to_statement`` to use the ``ANY`` operator.
"""
field_name: str
"""Name of the model attribute to filter on."""
values: "Union[abc.Collection[T], None]"
"""Values for the ``IN`` clause. If this is None, no filter is applied.
An empty list will force an empty result set (WHERE 1=-1)"""
def append_to_statement(
self,
statement: StatementTypeT,
model: type[ModelT],
prefer_any: bool = False,
) -> StatementTypeT:
"""Apply a WHERE ... IN or WHERE ... ANY (...) clause to the statement.
Parameters
----------
statement : StatementTypeT
The SQLAlchemy statement to modify
model : type[ModelT]
The SQLAlchemy model class
prefer_any : bool, optional
If True, uses the SQLAlchemy :func:`any_` operator instead of
:func:`in_` for the filter condition
Returns:
--------
StatementTypeT
Modified statement with the appropriate IN conditions
"""
field = self._get_instrumented_attr(model, self.field_name)
if self.values is None:
return statement
if not self.values:
# Return empty result set by forcing a false condition
return cast("StatementTypeT", statement.where(text("1=-1")))
if prefer_any:
return cast("StatementTypeT", statement.where(any_(self.values) == field)) # type: ignore[arg-type]
return cast("StatementTypeT", statement.where(field.in_(self.values)))
@dataclass
class NotInCollectionFilter(InAnyFilter, Generic[T]):
"""Data required to construct a WHERE ... NOT IN (...) clause.
This filter restricts records based on a field's absence in a collection of values.
The filter supports both ``NOT IN`` and ``!= ANY`` operators for collection exclusion.
Use ``prefer_any=True`` in ``append_to_statement`` to use the ``ANY`` operator.
Parameters
----------
field_name : str
Name of the model attribute to filter on
values : abc.Collection[T] | None
Values for the ``NOT IN`` clause. If this is None or empty,
the filter is not applied.
"""
field_name: str
"""Name of the model attribute to filter on."""
values: "Union[abc.Collection[T], None]"
"""Values for the ``NOT IN`` clause. If None or empty, no filter is applied."""
def append_to_statement(
self,
statement: StatementTypeT,
model: type[ModelT],
prefer_any: bool = False,
) -> StatementTypeT:
"""Apply a WHERE ... NOT IN or WHERE ... != ANY(...) clause to the statement.
Parameters
----------
statement : StatementTypeT
The SQLAlchemy statement to modify
model : type[ModelT]
The SQLAlchemy model class
prefer_any : bool, optional
If True, uses the SQLAlchemy :func:`any_` operator instead of
:func:`notin_` for the filter condition
Returns:
--------
StatementTypeT
Modified statement with the appropriate NOT IN conditions
"""
field = self._get_instrumented_attr(model, self.field_name)
if not self.values:
# If None or empty, we do not modify the statement
return statement
if prefer_any:
return cast("StatementTypeT", statement.where(any_(self.values) != field)) # type: ignore[arg-type]
return cast("StatementTypeT", statement.where(field.notin_(self.values)))
class PaginationFilter(StatementFilter, ABC):
"""Abstract base class for pagination filters.
Subclasses should implement pagination logic, such as limit/offset or
cursor-based pagination.
"""
@dataclass
class LimitOffset(PaginationFilter):
"""Limit and offset pagination filter.
Implements traditional pagination using SQL LIMIT and OFFSET clauses.
Only applies to SELECT statements; other statement types are returned unmodified.
Note:
This filter only modifies SELECT statements. For other statement types
(UPDATE, DELETE), the statement is returned unchanged.
See Also:
- :meth:`sqlalchemy.sql.expression.Select.limit`: SQLAlchemy LIMIT clause
- :meth:`sqlalchemy.sql.expression.Select.offset`: SQLAlchemy OFFSET clause
"""
limit: int
"""Maximum number of rows to return."""
offset: int
"""Number of rows to skip before returning results."""
def append_to_statement(self, statement: StatementTypeT, model: type[ModelT]) -> StatementTypeT:
"""Apply LIMIT/OFFSET pagination to the statement.
Args:
statement: The SQLAlchemy statement to modify
model: The SQLAlchemy model class
Returns:
StatementTypeT: Modified statement with limit and offset applied
Note:
Only modifies SELECT statements. Other statement types are returned as-is.
See Also:
:class:`sqlalchemy.sql.expression.Select`: SQLAlchemy SELECT statement
"""
if isinstance(statement, Select):
return cast("StatementTypeT", statement.limit(self.limit).offset(self.offset))
return statement
@dataclass
class OrderBy(StatementFilter):
"""Order by a specific field.
Appends an ORDER BY clause to SELECT statements, sorting records by the
specified field in ascending or descending order.
Note:
This filter only modifies SELECT statements. For other statement types,
the statement is returned unchanged.
See Also:
- :meth:`sqlalchemy.sql.expression.Select.order_by`: SQLAlchemy ORDER BY clause
- :meth:`sqlalchemy.sql.expression.ColumnElement.asc`: Ascending order
- :meth:`sqlalchemy.sql.expression.ColumnElement.desc`: Descending order
"""
field_name: str
"""Name of the model attribute to sort on."""
sort_order: Literal["asc", "desc"] = "asc"
"""Sort direction ("asc" or "desc")."""
def append_to_statement(self, statement: StatementTypeT, model: type[ModelT]) -> StatementTypeT:
"""Append an ORDER BY clause to the statement.
Args:
statement: The SQLAlchemy statement to modify
model: The SQLAlchemy model class
Returns:
StatementTypeT: Modified statement with an ORDER BY clause
Note:
Only modifies SELECT statements. Other statement types are returned as-is.
See Also:
:meth:`sqlalchemy.sql.expression.Select.order_by`: SQLAlchemy ORDER BY
"""
if not isinstance(statement, Select):
return statement
field = self._get_instrumented_attr(model, self.field_name)
if self.sort_order == "desc":
return cast("StatementTypeT", statement.order_by(field.desc()))
return cast("StatementTypeT", statement.order_by(field.asc()))
@dataclass
class SearchFilter(StatementFilter):
"""Case-sensitive or case-insensitive substring matching filter.
Implements text search using SQL LIKE or ILIKE operators. Can search across
multiple fields using OR conditions.
Note:
The search pattern automatically adds wildcards before and after the search
value, equivalent to SQL pattern '%value%'.
See Also:
- :class:`.NotInSearchFilter`: Opposite filter using NOT LIKE/ILIKE
- :meth:`sqlalchemy.sql.expression.ColumnOperators.like`: Case-sensitive LIKE
- :meth:`sqlalchemy.sql.expression.ColumnOperators.ilike`: Case-insensitive LIKE
"""
field_name: "Union[str, set[str]]"
"""Name or set of names of model attributes to search on."""
value: str
"""Text to match within the field(s)."""
ignore_case: "Optional[bool]" = False
"""Whether to use case-insensitive matching."""
@property
def _operator(self) -> "Callable[..., ColumnElement[bool]]":
"""Return the SQL operator for combining multiple search clauses.
Returns:
Callable[..., ColumnElement[bool]]: The `or_` operator for OR conditions
See Also:
:func:`sqlalchemy.sql.expression.or_`: SQLAlchemy OR operator
"""
return or_
@property
def _func(self) -> "attrgetter[Callable[[str], BinaryExpression[bool]]]":
"""Return the appropriate LIKE or ILIKE operator as a function.
Returns:
attrgetter: Bound method for LIKE or ILIKE operations
See Also:
- :meth:`sqlalchemy.sql.expression.ColumnOperators.like`: LIKE operator
- :meth:`sqlalchemy.sql.expression.ColumnOperators.ilike`: ILIKE operator
"""
return attrgetter("ilike" if self.ignore_case else "like")
@property
def normalized_field_names(self) -> set[str]:
"""Convert field_name to a set if it's a single string.
Returns:
set[str]: Set of field names to be searched
"""
return {self.field_name} if isinstance(self.field_name, str) else self.field_name
def get_search_clauses(self, model: type[ModelT]) -> list["BinaryExpression[bool]"]:
"""Generate the LIKE/ILIKE clauses for all specified fields.
Args:
model: The SQLAlchemy model class
Returns:
list[BinaryExpression[bool]]: List of text matching expressions
See Also:
:class:`sqlalchemy.sql.expression.BinaryExpression`: SQLAlchemy expression
"""
search_clause: list[BinaryExpression[bool]] = []
for field_name in self.normalized_field_names:
field = self._get_instrumented_attr(model, field_name)
search_text = f"%{self.value}%"
search_clause.append(self._func(field)(search_text))
return search_clause
def append_to_statement(self, statement: StatementTypeT, model: type[ModelT]) -> StatementTypeT:
"""Append a LIKE/ILIKE clause to the statement.
Args:
statement: The SQLAlchemy statement to modify
model: The SQLAlchemy model class
Returns:
StatementTypeT: Modified statement with text search clauses
See Also:
:meth:`sqlalchemy.sql.expression.Select.where`: SQLAlchemy WHERE clause
"""
where_clause = self._operator(*self.get_search_clauses(model))
return cast("StatementTypeT", statement.where(where_clause))
@dataclass
class NotInSearchFilter(SearchFilter):
"""Filter for excluding records that match a substring.
Implements negative text search using SQL NOT LIKE or NOT ILIKE operators.
Can exclude across multiple fields using AND conditions.
Args:
field_name: Name or set of names of model attributes to search on
value: Text to exclude from the field(s)
ignore_case: If True, uses NOT ILIKE for case-insensitive matching
Note:
Uses AND for multiple fields, meaning records matching any field will be excluded.
See Also:
- :class:`.SearchFilter`: Opposite filter using LIKE/ILIKE
- :meth:`sqlalchemy.sql.expression.ColumnOperators.notlike`: NOT LIKE operator
- :meth:`sqlalchemy.sql.expression.ColumnOperators.notilike`: NOT ILIKE operator
"""
@property
def _operator(self) -> Callable[..., ColumnElement[bool]]:
"""Return the SQL operator for combining multiple negated search clauses.
Returns:
Callable[..., ColumnElement[bool]]: The `and_` operator for AND conditions
See Also:
:func:`sqlalchemy.sql.expression.and_`: SQLAlchemy AND operator
"""
return and_
@property
def _func(self) -> "attrgetter[Callable[[str], BinaryExpression[bool]]]":
"""Return the appropriate NOT LIKE or NOT ILIKE operator as a function.
Returns:
attrgetter: Bound method for NOT LIKE or NOT ILIKE operations
See Also:
- :meth:`sqlalchemy.sql.expression.ColumnOperators.notlike`: NOT LIKE
- :meth:`sqlalchemy.sql.expression.ColumnOperators.notilike`: NOT ILIKE
"""
return attrgetter("not_ilike" if self.ignore_case else "not_like")
python-advanced-alchemy-0.34.0/advanced_alchemy/mixins/ 0000775 0000000 0000000 00000000000 14763441450 0023070 5 ustar 00root root 0000000 0000000 python-advanced-alchemy-0.34.0/advanced_alchemy/mixins/__init__.py 0000664 0000000 0000000 00000001176 14763441450 0025206 0 ustar 00root root 0000000 0000000 from advanced_alchemy.mixins.audit import AuditColumns
from advanced_alchemy.mixins.bigint import BigIntPrimaryKey
from advanced_alchemy.mixins.nanoid import NanoIDPrimaryKey
from advanced_alchemy.mixins.sentinel import SentinelMixin
from advanced_alchemy.mixins.slug import SlugKey
from advanced_alchemy.mixins.unique import UniqueMixin
from advanced_alchemy.mixins.uuid import UUIDPrimaryKey, UUIDv6PrimaryKey, UUIDv7PrimaryKey
__all__ = (
"AuditColumns",
"BigIntPrimaryKey",
"NanoIDPrimaryKey",
"SentinelMixin",
"SlugKey",
"UUIDPrimaryKey",
"UUIDv6PrimaryKey",
"UUIDv7PrimaryKey",
"UniqueMixin",
)
python-advanced-alchemy-0.34.0/advanced_alchemy/mixins/audit.py 0000664 0000000 0000000 00000001722 14763441450 0024552 0 ustar 00root root 0000000 0000000 import datetime
from sqlalchemy.orm import Mapped, declarative_mixin, mapped_column, validates
from advanced_alchemy.types import DateTimeUTC
@declarative_mixin
class AuditColumns:
"""Created/Updated At Fields Mixin."""
created_at: Mapped[datetime.datetime] = mapped_column(
DateTimeUTC(timezone=True),
default=lambda: datetime.datetime.now(datetime.timezone.utc),
)
"""Date/time of instance creation."""
updated_at: Mapped[datetime.datetime] = mapped_column(
DateTimeUTC(timezone=True),
default=lambda: datetime.datetime.now(datetime.timezone.utc),
onupdate=lambda: datetime.datetime.now(datetime.timezone.utc),
)
"""Date/time of instance last update."""
@validates("created_at", "updated_at")
def validate_tz_info(self, _: str, value: datetime.datetime) -> datetime.datetime:
if value.tzinfo is None:
value = value.replace(tzinfo=datetime.timezone.utc)
return value
python-advanced-alchemy-0.34.0/advanced_alchemy/mixins/bigint.py 0000664 0000000 0000000 00000001037 14763441450 0024717 0 ustar 00root root 0000000 0000000 from sqlalchemy import Sequence
from sqlalchemy.orm import Mapped, declarative_mixin, declared_attr, mapped_column
from advanced_alchemy.types import BigIntIdentity
@declarative_mixin
class BigIntPrimaryKey:
"""BigInt Primary Key Field Mixin."""
@declared_attr
def id(cls) -> Mapped[int]:
"""BigInt Primary key column."""
return mapped_column(
BigIntIdentity,
Sequence(f"{cls.__tablename__}_id_seq", optional=False), # type: ignore[attr-defined]
primary_key=True,
)
python-advanced-alchemy-0.34.0/advanced_alchemy/mixins/nanoid.py 0000664 0000000 0000000 00000001303 14763441450 0024707 0 ustar 00root root 0000000 0000000 from typing import TYPE_CHECKING
from sqlalchemy.orm import Mapped, declarative_mixin, mapped_column
from advanced_alchemy.mixins.sentinel import SentinelMixin
from advanced_alchemy.types import NANOID_INSTALLED
if NANOID_INSTALLED and not TYPE_CHECKING:
from fastnanoid import ( # type: ignore[import-not-found,unused-ignore] # pyright: ignore[reportMissingImports]
generate as nanoid,
)
else:
from uuid import uuid4 as nanoid # type: ignore[assignment,unused-ignore]
@declarative_mixin
class NanoIDPrimaryKey(SentinelMixin):
"""Nano ID Primary Key Field Mixin."""
id: Mapped[str] = mapped_column(default=nanoid, primary_key=True)
"""Nano ID Primary key column."""
python-advanced-alchemy-0.34.0/advanced_alchemy/mixins/sentinel.py 0000664 0000000 0000000 00000000471 14763441450 0025265 0 ustar 00root root 0000000 0000000 from sqlalchemy.orm import Mapped, declarative_mixin, declared_attr, orm_insert_sentinel
@declarative_mixin
class SentinelMixin:
"""Mixin to add a sentinel column for SQLAlchemy models."""
@declared_attr
def _sentinel(cls) -> Mapped[int]:
return orm_insert_sentinel(name="sa_orm_sentinel")
python-advanced-alchemy-0.34.0/advanced_alchemy/mixins/slug.py 0000664 0000000 0000000 00000002617 14763441450 0024422 0 ustar 00root root 0000000 0000000 from typing import TYPE_CHECKING, Any
from sqlalchemy import Index, String, UniqueConstraint
from sqlalchemy.orm import Mapped, declarative_mixin, declared_attr, mapped_column
if TYPE_CHECKING:
from sqlalchemy.orm.decl_base import _TableArgsType as TableArgsType # pyright: ignore[reportPrivateUsage]
@declarative_mixin
class SlugKey:
"""Slug unique Field Model Mixin."""
@declared_attr
def slug(cls) -> Mapped[str]:
"""Slug field."""
return mapped_column(
String(length=100),
nullable=False,
)
@staticmethod
def _create_unique_slug_index(*_: Any, **kwargs: Any) -> bool:
return bool(kwargs["dialect"].name.startswith("spanner"))
@staticmethod
def _create_unique_slug_constraint(*_: Any, **kwargs: Any) -> bool:
return not kwargs["dialect"].name.startswith("spanner")
@declared_attr.directive
@classmethod
def __table_args__(cls) -> "TableArgsType":
return (
UniqueConstraint(
cls.slug,
name=f"uq_{cls.__tablename__}_slug", # type: ignore[attr-defined]
).ddl_if(callable_=cls._create_unique_slug_constraint),
Index(
f"ix_{cls.__tablename__}_slug_unique", # type: ignore[attr-defined]
cls.slug,
unique=True,
).ddl_if(callable_=cls._create_unique_slug_index),
)
python-advanced-alchemy-0.34.0/advanced_alchemy/mixins/unique.py 0000664 0000000 0000000 00000013132 14763441450 0024750 0 ustar 00root root 0000000 0000000 from contextlib import contextmanager
from typing import TYPE_CHECKING, Any, Optional, Union
from sqlalchemy import ColumnElement, select
from sqlalchemy.orm import declarative_mixin
from typing_extensions import Self
from advanced_alchemy.exceptions import wrap_sqlalchemy_exception
if TYPE_CHECKING:
from collections.abc import Hashable, Iterator
from sqlalchemy import Select
from sqlalchemy.ext.asyncio import AsyncSession
from sqlalchemy.ext.asyncio.scoping import async_scoped_session
from sqlalchemy.orm import Session
from sqlalchemy.orm.scoping import scoped_session
__all__ = ("UniqueMixin",)
@declarative_mixin
class UniqueMixin:
"""Mixin for instantiating objects while ensuring uniqueness on some field(s).
This is a slightly modified implementation derived from https://github.com/sqlalchemy/sqlalchemy/wiki/UniqueObject
"""
@classmethod
@contextmanager
def _prevent_autoflush(
cls,
session: "Union[AsyncSession, async_scoped_session[AsyncSession], Session, scoped_session[Session]]",
) -> "Iterator[None]":
with session.no_autoflush, wrap_sqlalchemy_exception():
yield
@classmethod
def _check_uniqueness(
cls,
cache: "Optional[dict[tuple[type[Self], Hashable], Self]]",
session: "Union[AsyncSession, async_scoped_session[AsyncSession], Session, scoped_session[Session]]",
key: "tuple[type[Self], Hashable]",
*args: Any,
**kwargs: Any,
) -> "tuple[dict[tuple[type[Self], Hashable], Self], Select[tuple[Self]], Optional[Self]]":
if cache is None:
cache = {}
setattr(session, "_unique_cache", cache)
statement = select(cls).where(cls.unique_filter(*args, **kwargs)).limit(2)
return cache, statement, cache.get(key)
@classmethod
async def as_unique_async(
cls,
session: "Union[AsyncSession, async_scoped_session[AsyncSession]]",
*args: Any,
**kwargs: Any,
) -> Self:
"""Instantiate and return a unique object within the provided session based on the given arguments.
If an object with the same unique identifier already exists in the session, it is returned from the cache.
Args:
session (AsyncSession | async_scoped_session[AsyncSession]): SQLAlchemy async session
*args (Any): Values used to instantiate the instance if no duplicate exists
**kwargs (Any): Values used to instantiate the instance if no duplicate exists
Returns:
Self: The unique object instance.
"""
key = cls, cls.unique_hash(*args, **kwargs)
cache, statement, obj = cls._check_uniqueness(
getattr(session, "_unique_cache", None),
session,
key,
*args,
**kwargs,
)
if obj:
return obj
with cls._prevent_autoflush(session):
if (obj := (await session.execute(statement)).scalar_one_or_none()) is None:
session.add(obj := cls(*args, **kwargs))
cache[key] = obj
return obj
@classmethod
def as_unique_sync(
cls,
session: "Union[Session, scoped_session[Session]]",
*args: Any,
**kwargs: Any,
) -> Self:
"""Instantiate and return a unique object within the provided session based on the given arguments.
If an object with the same unique identifier already exists in the session, it is returned from the cache.
Args:
session (Session | scoped_session[Session]): SQLAlchemy sync session
*args (Any): Values used to instantiate the instance if no duplicate exists
**kwargs (Any): Values used to instantiate the instance if no duplicate exists
Returns:
Self: The unique object instance.
"""
key = cls, cls.unique_hash(*args, **kwargs)
cache, statement, obj = cls._check_uniqueness(
getattr(session, "_unique_cache", None),
session,
key,
*args,
**kwargs,
)
if obj:
return obj
with cls._prevent_autoflush(session):
if (obj := session.execute(statement).scalar_one_or_none()) is None:
session.add(obj := cls(*args, **kwargs))
cache[key] = obj
return obj
@classmethod
def unique_hash(cls, *args: Any, **kwargs: Any) -> "Hashable":
"""Generate a unique key based on the provided arguments.
This method should be implemented in the subclass.
Args:
*args (Any): Values passed to the alternate classmethod constructors
**kwargs (Any): Values passed to the alternate classmethod constructors
Raises:
NotImplementedError: If not implemented in the subclass.
Returns:
Hashable: Any hashable object.
"""
msg = "Implement this in subclass"
raise NotImplementedError(msg)
@classmethod
def unique_filter(cls, *args: Any, **kwargs: Any) -> "ColumnElement[bool]":
"""Generate a filter condition for ensuring uniqueness.
This method should be implemented in the subclass.
Args:
*args (Any): Values passed to the alternate classmethod constructors
**kwargs (Any): Values passed to the alternate classmethod constructors
Raises:
NotImplementedError: If not implemented in the subclass.
Returns:
ColumnElement[bool]: Filter condition to establish the uniqueness.
"""
msg = "Implement this in subclass"
raise NotImplementedError(msg)
python-advanced-alchemy-0.34.0/advanced_alchemy/mixins/uuid.py 0000664 0000000 0000000 00000002401 14763441450 0024405 0 ustar 00root root 0000000 0000000 from typing import TYPE_CHECKING
from uuid import UUID, uuid4
from sqlalchemy.orm import Mapped, declarative_mixin, mapped_column
from advanced_alchemy.mixins.sentinel import SentinelMixin
from advanced_alchemy.types import UUID_UTILS_INSTALLED
if UUID_UTILS_INSTALLED and not TYPE_CHECKING:
from uuid_utils.compat import ( # type: ignore[no-redef,unused-ignore] # pyright: ignore[reportMissingImports]
uuid4,
uuid6,
uuid7,
)
else:
from uuid import uuid4 # type: ignore[no-redef,unused-ignore]
uuid6 = uuid4 # type: ignore[assignment, unused-ignore]
uuid7 = uuid4 # type: ignore[assignment, unused-ignore]
@declarative_mixin
class UUIDPrimaryKey(SentinelMixin):
"""UUID Primary Key Field Mixin."""
id: Mapped[UUID] = mapped_column(default=uuid4, primary_key=True)
"""UUID Primary key column."""
@declarative_mixin
class UUIDv6PrimaryKey(SentinelMixin):
"""UUID v6 Primary Key Field Mixin."""
id: Mapped[UUID] = mapped_column(default=uuid6, primary_key=True)
"""UUID Primary key column."""
@declarative_mixin
class UUIDv7PrimaryKey(SentinelMixin):
"""UUID v7 Primary Key Field Mixin."""
id: Mapped[UUID] = mapped_column(default=uuid7, primary_key=True)
"""UUID Primary key column."""
python-advanced-alchemy-0.34.0/advanced_alchemy/operations.py 0000664 0000000 0000000 00000002422 14763441450 0024316 0 ustar 00root root 0000000 0000000 """Advanced database operations for SQLAlchemy.
This module provides high-performance database operations that extend beyond basic CRUD
functionality. It implements specialized database operations optimized for bulk data
handling and schema management.
The operations module is designed to work seamlessly with SQLAlchemy Core and ORM,
providing efficient implementations for common database operations patterns.
Features
--------
- Table merging and upsert operations
- Dynamic table creation from SELECT statements
- Bulk data import/export operations
- Optimized copy operations for PostgreSQL
- Transaction-safe batch operations
Todo:
-----
- Implement merge operations with customizable conflict resolution
- Add CTAS (Create Table As Select) functionality
- Implement bulk copy operations (COPY TO/FROM) for PostgreSQL
- Add support for temporary table operations
- Implement materialized view operations
Notes:
------
This module is designed to be database-agnostic where possible, with specialized
optimizations for specific database backends where appropriate.
See Also:
---------
- :mod:`sqlalchemy.sql.expression` : SQLAlchemy Core expression language
- :mod:`sqlalchemy.orm` : SQLAlchemy ORM functionality
- :mod:`advanced_alchemy.extensions` : Additional database extensions
"""
python-advanced-alchemy-0.34.0/advanced_alchemy/py.typed 0000664 0000000 0000000 00000000000 14763441450 0023246 0 ustar 00root root 0000000 0000000 python-advanced-alchemy-0.34.0/advanced_alchemy/repository/ 0000775 0000000 0000000 00000000000 14763441450 0024000 5 ustar 00root root 0000000 0000000 python-advanced-alchemy-0.34.0/advanced_alchemy/repository/__init__.py 0000664 0000000 0000000 00000003025 14763441450 0026111 0 ustar 00root root 0000000 0000000 from advanced_alchemy.exceptions import ErrorMessages
from advanced_alchemy.repository._async import (
SQLAlchemyAsyncQueryRepository,
SQLAlchemyAsyncRepository,
SQLAlchemyAsyncRepositoryProtocol,
SQLAlchemyAsyncSlugRepository,
SQLAlchemyAsyncSlugRepositoryProtocol,
)
from advanced_alchemy.repository._sync import (
SQLAlchemySyncQueryRepository,
SQLAlchemySyncRepository,
SQLAlchemySyncRepositoryProtocol,
SQLAlchemySyncSlugRepository,
SQLAlchemySyncSlugRepositoryProtocol,
)
from advanced_alchemy.repository._util import (
DEFAULT_ERROR_MESSAGE_TEMPLATES,
FilterableRepository,
FilterableRepositoryProtocol,
LoadSpec,
get_instrumented_attr,
model_from_dict,
)
from advanced_alchemy.repository.typing import ModelOrRowMappingT, ModelT, OrderingPair
from advanced_alchemy.utils.dataclass import Empty, EmptyType
__all__ = (
"DEFAULT_ERROR_MESSAGE_TEMPLATES",
"Empty",
"EmptyType",
"ErrorMessages",
"FilterableRepository",
"FilterableRepositoryProtocol",
"LoadSpec",
"ModelOrRowMappingT",
"ModelT",
"OrderingPair",
"SQLAlchemyAsyncQueryRepository",
"SQLAlchemyAsyncRepository",
"SQLAlchemyAsyncRepositoryProtocol",
"SQLAlchemyAsyncSlugRepository",
"SQLAlchemyAsyncSlugRepositoryProtocol",
"SQLAlchemySyncQueryRepository",
"SQLAlchemySyncRepository",
"SQLAlchemySyncRepositoryProtocol",
"SQLAlchemySyncSlugRepository",
"SQLAlchemySyncSlugRepositoryProtocol",
"get_instrumented_attr",
"model_from_dict",
)
python-advanced-alchemy-0.34.0/advanced_alchemy/repository/_async.py 0000664 0000000 0000000 00000306272 14763441450 0025640 0 ustar 00root root 0000000 0000000 import random
import string
from collections.abc import Iterable, Sequence
from typing import (
TYPE_CHECKING,
Any,
Final,
Literal,
Optional,
Protocol,
Union,
cast,
runtime_checkable,
)
from sqlalchemy import (
Delete,
Result,
Row,
Select,
TextClause,
Update,
any_,
delete,
over,
select,
text,
update,
)
from sqlalchemy import func as sql_func
from sqlalchemy.ext.asyncio import AsyncSession
from sqlalchemy.ext.asyncio.scoping import async_scoped_session
from sqlalchemy.orm import InstrumentedAttribute
from sqlalchemy.orm.strategy_options import _AbstractLoad # pyright: ignore[reportPrivateUsage]
from sqlalchemy.sql import ColumnElement
from sqlalchemy.sql.dml import ReturningDelete, ReturningUpdate
from advanced_alchemy.exceptions import ErrorMessages, NotFoundError, RepositoryError, wrap_sqlalchemy_exception
from advanced_alchemy.filters import StatementFilter, StatementTypeT
from advanced_alchemy.repository._util import (
DEFAULT_ERROR_MESSAGE_TEMPLATES,
FilterableRepository,
FilterableRepositoryProtocol,
LoadSpec,
get_abstract_loader_options,
get_instrumented_attr,
)
from advanced_alchemy.repository.typing import MISSING, ModelT, OrderingPair, T
from advanced_alchemy.utils.dataclass import Empty, EmptyType
from advanced_alchemy.utils.text import slugify
if TYPE_CHECKING:
from sqlalchemy.engine.interfaces import _CoreSingleExecuteParams # pyright: ignore[reportPrivateUsage]
DEFAULT_INSERTMANYVALUES_MAX_PARAMETERS: Final = 950
POSTGRES_VERSION_SUPPORTING_MERGE: Final = 15
@runtime_checkable
class SQLAlchemyAsyncRepositoryProtocol(FilterableRepositoryProtocol[ModelT], Protocol[ModelT]):
"""Base Protocol"""
id_attribute: str
match_fields: Optional[Union[list[str], str]] = None
statement: Select[tuple[ModelT]]
session: Union[AsyncSession, async_scoped_session[AsyncSession]]
auto_expunge: bool
auto_refresh: bool
auto_commit: bool
order_by: Optional[Union[list[OrderingPair], OrderingPair]] = None
error_messages: Optional[ErrorMessages] = None
wrap_exceptions: bool = True
def __init__(
self,
*,
statement: Optional[Select[tuple[ModelT]]] = None,
session: Union[AsyncSession, async_scoped_session[AsyncSession]],
auto_expunge: bool = False,
auto_refresh: bool = True,
auto_commit: bool = False,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
order_by: Optional[Union[list[OrderingPair], OrderingPair]] = None,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
wrap_exceptions: bool = True,
**kwargs: Any,
) -> None: ...
@classmethod
def get_id_attribute_value(
cls,
item: Union[ModelT, type[ModelT]],
id_attribute: Optional[Union[str, InstrumentedAttribute[Any]]] = None,
) -> Any: ...
@classmethod
def set_id_attribute_value(
cls,
item_id: Any,
item: ModelT,
id_attribute: Optional[Union[str, InstrumentedAttribute[Any]]] = None,
) -> ModelT: ...
@staticmethod
def check_not_found(item_or_none: Optional[ModelT]) -> ModelT: ...
async def add(
self,
data: ModelT,
*,
auto_commit: Optional[bool] = None,
auto_expunge: Optional[bool] = None,
auto_refresh: Optional[bool] = None,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
) -> ModelT: ...
async def add_many(
self,
data: list[ModelT],
*,
auto_commit: Optional[bool] = None,
auto_expunge: Optional[bool] = None,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
) -> Sequence[ModelT]: ...
async def delete(
self,
item_id: Any,
*,
auto_commit: Optional[bool] = None,
auto_expunge: Optional[bool] = None,
id_attribute: Optional[Union[str, InstrumentedAttribute[Any]]] = None,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
) -> ModelT: ...
async def delete_many(
self,
item_ids: list[Any],
*,
auto_commit: Optional[bool] = None,
auto_expunge: Optional[bool] = None,
id_attribute: Optional[Union[str, InstrumentedAttribute[Any]]] = None,
chunk_size: Optional[int] = None,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
) -> Sequence[ModelT]: ...
async def delete_where(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
auto_commit: Optional[bool] = None,
auto_expunge: Optional[bool] = None,
load: Optional[LoadSpec] = None,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
execution_options: Optional[dict[str, Any]] = None,
sanity_check: bool = True,
**kwargs: Any,
) -> Sequence[ModelT]: ...
async def exists(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
load: Optional[LoadSpec] = None,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
execution_options: Optional[dict[str, Any]] = None,
**kwargs: Any,
) -> bool: ...
async def get(
self,
item_id: Any,
*,
auto_expunge: Optional[bool] = None,
statement: Optional[Select[tuple[ModelT]]] = None,
id_attribute: Optional[Union[str, InstrumentedAttribute[Any]]] = None,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
) -> ModelT: ...
async def get_one(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
auto_expunge: Optional[bool] = None,
statement: Optional[Select[tuple[ModelT]]] = None,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
**kwargs: Any,
) -> ModelT: ...
async def get_one_or_none(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
auto_expunge: Optional[bool] = None,
statement: Optional[Select[tuple[ModelT]]] = None,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
**kwargs: Any,
) -> Optional[ModelT]: ...
async def get_or_upsert(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
match_fields: Optional[Union[list[str], str]] = None,
upsert: bool = True,
attribute_names: Optional[Iterable[str]] = None,
with_for_update: Optional[bool] = None,
auto_commit: Optional[bool] = None,
auto_expunge: Optional[bool] = None,
auto_refresh: Optional[bool] = None,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
**kwargs: Any,
) -> tuple[ModelT, bool]: ...
async def get_and_update(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
match_fields: Optional[Union[list[str], str]] = None,
attribute_names: Optional[Iterable[str]] = None,
with_for_update: Optional[bool] = None,
auto_commit: Optional[bool] = None,
auto_expunge: Optional[bool] = None,
auto_refresh: Optional[bool] = None,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
**kwargs: Any,
) -> tuple[ModelT, bool]: ...
async def count(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
statement: Optional[Select[tuple[ModelT]]] = None,
load: Optional[LoadSpec] = None,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
execution_options: Optional[dict[str, Any]] = None,
**kwargs: Any,
) -> int: ...
async def update(
self,
data: ModelT,
*,
attribute_names: Optional[Iterable[str]] = None,
with_for_update: Optional[bool] = None,
auto_commit: Optional[bool] = None,
auto_expunge: Optional[bool] = None,
auto_refresh: Optional[bool] = None,
id_attribute: Optional[Union[str, InstrumentedAttribute[Any]]] = None,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
) -> ModelT: ...
async def update_many(
self,
data: list[ModelT],
*,
auto_commit: Optional[bool] = None,
auto_expunge: Optional[bool] = None,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
) -> list[ModelT]: ...
def _get_update_many_statement(
self,
model_type: type[ModelT],
supports_returning: bool,
loader_options: Optional[list[_AbstractLoad]],
execution_options: Optional[dict[str, Any]],
) -> Union[Update, ReturningUpdate[tuple[ModelT]]]: ...
async def upsert(
self,
data: ModelT,
*,
attribute_names: Optional[Iterable[str]] = None,
with_for_update: Optional[bool] = None,
auto_expunge: Optional[bool] = None,
auto_commit: Optional[bool] = None,
auto_refresh: Optional[bool] = None,
match_fields: Optional[Union[list[str], str]] = None,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
) -> ModelT: ...
async def upsert_many(
self,
data: list[ModelT],
*,
auto_expunge: Optional[bool] = None,
auto_commit: Optional[bool] = None,
no_merge: bool = False,
match_fields: Optional[Union[list[str], str]] = None,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
) -> list[ModelT]: ...
async def list_and_count(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
auto_expunge: Optional[bool] = None,
statement: Optional[Select[tuple[ModelT]]] = None,
count_with_window_function: Optional[bool] = None,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
order_by: Optional[Union[list[OrderingPair], OrderingPair]] = None,
**kwargs: Any,
) -> tuple[list[ModelT], int]: ...
async def list(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
auto_expunge: Optional[bool] = None,
statement: Optional[Select[tuple[ModelT]]] = None,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
order_by: Optional[Union[list[OrderingPair], OrderingPair]] = None,
**kwargs: Any,
) -> list[ModelT]: ...
@classmethod
async def check_health(cls, session: Union[AsyncSession, async_scoped_session[AsyncSession]]) -> bool: ...
@runtime_checkable
class SQLAlchemyAsyncSlugRepositoryProtocol(SQLAlchemyAsyncRepositoryProtocol[ModelT], Protocol[ModelT]):
"""Protocol for SQLAlchemy repositories that support slug-based operations.
Extends the base repository protocol to add slug-related functionality.
Type Parameters:
ModelT: The SQLAlchemy model type this repository handles.
"""
async def get_by_slug(
self,
slug: str,
*,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
**kwargs: Any,
) -> Optional[ModelT]:
"""Get a model instance by its slug.
Args:
slug: The slug value to search for.
error_messages: Optional custom error message templates.
load: Specification for eager loading of relationships.
execution_options: Options for statement execution.
**kwargs: Additional filtering criteria.
Returns:
ModelT | None: The found model instance or None if not found.
"""
...
async def get_available_slug(
self,
value_to_slugify: str,
**kwargs: Any,
) -> str:
"""Generate a unique slug for a given value.
Args:
value_to_slugify: The string to convert to a slug.
**kwargs: Additional parameters for slug generation.
Returns:
str: A unique slug derived from the input value.
"""
...
class SQLAlchemyAsyncRepository(SQLAlchemyAsyncRepositoryProtocol[ModelT], FilterableRepository[ModelT]):
"""Async SQLAlchemy repository implementation.
Provides a complete implementation of async database operations using SQLAlchemy,
including CRUD operations, filtering, and relationship loading.
Type Parameters:
ModelT: The SQLAlchemy model type this repository handles.
.. seealso::
:class:`~advanced_alchemy.repository._util.FilterableRepository`
"""
id_attribute: str = "id"
"""Name of the unique identifier for the model."""
loader_options: Optional[LoadSpec] = None
"""Default loader options for the repository."""
error_messages: Optional[ErrorMessages] = None
"""Default error messages for the repository."""
wrap_exceptions: bool = True
"""Wrap SQLAlchemy exceptions in a ``RepositoryError``. When set to ``False``, the original exception will be raised."""
inherit_lazy_relationships: bool = True
"""Optionally ignore the default ``lazy`` configuration for model relationships. This is useful for when you want to
replace instead of merge the model's loaded relationships with the ones specified in the ``load`` or ``default_loader_options`` configuration."""
merge_loader_options: bool = True
"""Merges the default loader options with the loader options specified in the ``load`` argument. This is useful for when you want to totally
replace instead of merge the model's loaded relationships with the ones specified in the ``load`` or ``default_loader_options`` configuration."""
execution_options: Optional[dict[str, Any]] = None
"""Default execution options for the repository."""
match_fields: Optional[Union[list[str], str]] = None
"""List of dialects that prefer to use ``field.id = ANY(:1)`` instead of ``field.id IN (...)``."""
uniquify: bool = False
"""Optionally apply the ``unique()`` method to results before returning.
This is useful for certain SQLAlchemy uses cases such as applying ``contains_eager`` to a query containing a one-to-many relationship
"""
count_with_window_function: bool = True
"""Use an analytical window function to count results. This allows the count to be performed in a single query.
"""
def __init__(
self,
*,
statement: Optional[Select[tuple[ModelT]]] = None,
session: Union[AsyncSession, async_scoped_session[AsyncSession]],
auto_expunge: bool = False,
auto_refresh: bool = True,
auto_commit: bool = False,
order_by: Optional[Union[list[OrderingPair], OrderingPair]] = None,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
wrap_exceptions: bool = True,
uniquify: Optional[bool] = None,
count_with_window_function: Optional[bool] = None,
**kwargs: Any,
) -> None:
"""Repository for SQLAlchemy models.
Args:
statement: To facilitate customization of the underlying select query.
session: Session managing the unit-of-work for the operation.
auto_expunge: Remove object from session before returning.
auto_refresh: Refresh object from session before returning.
auto_commit: Commit objects before returning.
order_by: Set default order options for queries.
load: Set default relationships to be loaded
execution_options: Set default execution options
error_messages: A set of custom error messages to use for operations
wrap_exceptions: Wrap SQLAlchemy exceptions in a ``RepositoryError``. When set to ``False``, the original exception will be raised.
uniquify: Optionally apply the ``unique()`` method to results before returning.
count_with_window_function: When false, list and count will use two queries instead of an analytical window function.
**kwargs: Additional arguments.
"""
self.auto_expunge = auto_expunge
self.auto_refresh = auto_refresh
self.auto_commit = auto_commit
self.order_by = order_by
self.session = session
self.error_messages = self._get_error_messages(
error_messages=error_messages, default_messages=self.error_messages
)
self.wrap_exceptions = wrap_exceptions
self.uniquify = self._get_uniquify(uniquify)
self.count_with_window_function = (
count_with_window_function if count_with_window_function is not None else self.count_with_window_function
)
self._default_loader_options, self._loader_options_have_wildcards = get_abstract_loader_options(
loader_options=load if load is not None else self.loader_options,
inherit_lazy_relationships=self.inherit_lazy_relationships,
merge_with_default=self.merge_loader_options,
)
execution_options = execution_options if execution_options is not None else self.execution_options
self._default_execution_options = execution_options or {}
self.statement = select(self.model_type) if statement is None else statement
self._dialect = self.session.bind.dialect if self.session.bind is not None else self.session.get_bind().dialect
self._prefer_any = any(self._dialect.name == engine_type for engine_type in self.prefer_any_dialects or ())
def _get_uniquify(self, uniquify: Optional[bool] = None) -> bool:
return bool(uniquify) if uniquify is not None else self.uniquify
@staticmethod
def _get_error_messages(
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
default_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
) -> Optional[ErrorMessages]:
if error_messages == Empty:
error_messages = None
if default_messages == Empty:
default_messages = None
messages = DEFAULT_ERROR_MESSAGE_TEMPLATES
if default_messages and isinstance(default_messages, dict):
messages.update(default_messages)
if error_messages:
messages.update(cast("ErrorMessages", error_messages))
return messages
@classmethod
def get_id_attribute_value(
cls,
item: Union[ModelT, type[ModelT]],
id_attribute: Optional[Union[str, InstrumentedAttribute[Any]]] = None,
) -> Any:
"""Get value of attribute named as :attr:`id_attribute` on ``item``.
Args:
item: Anything that should have an attribute named as :attr:`id_attribute` value.
id_attribute: Allows customization of the unique identifier to use for model fetching.
Defaults to `None`, but can reference any surrogate or candidate key for the table.
Returns:
The value of attribute on ``item`` named as :attr:`id_attribute`.
"""
if isinstance(id_attribute, InstrumentedAttribute):
id_attribute = id_attribute.key
return getattr(item, id_attribute if id_attribute is not None else cls.id_attribute)
@classmethod
def set_id_attribute_value(
cls,
item_id: Any,
item: ModelT,
id_attribute: Optional[Union[str, InstrumentedAttribute[Any]]] = None,
) -> ModelT:
"""Return the ``item`` after the ID is set to the appropriate attribute.
Args:
item_id: Value of ID to be set on instance
item: Anything that should have an attribute named as :attr:`id_attribute` value.
id_attribute: Allows customization of the unique identifier to use for model fetching.
Defaults to `None`, but can reference any surrogate or candidate key for the table.
Returns:
Item with ``item_id`` set to :attr:`id_attribute`
"""
if isinstance(id_attribute, InstrumentedAttribute):
id_attribute = id_attribute.key
setattr(item, id_attribute if id_attribute is not None else cls.id_attribute, item_id)
return item
@staticmethod
def check_not_found(item_or_none: Optional[ModelT]) -> ModelT:
"""Raise :exc:`advanced_alchemy.exceptions.NotFoundError` if ``item_or_none`` is ``None``.
Args:
item_or_none: Item (:class:`T `) to be tested for existence.
Returns:
The item, if it exists.
"""
if item_or_none is None:
msg = "No item found when one was expected"
raise NotFoundError(msg)
return item_or_none
def _get_execution_options(
self,
execution_options: Optional[dict[str, Any]] = None,
) -> dict[str, Any]:
if execution_options is None:
return self._default_execution_options
return execution_options
def _get_loader_options(
self,
loader_options: Optional[LoadSpec],
) -> Union[tuple[list[_AbstractLoad], bool], tuple[None, bool]]:
if loader_options is None:
# use the defaults set at initialization
return self._default_loader_options, self._loader_options_have_wildcards or self.uniquify
return get_abstract_loader_options(
loader_options=loader_options,
default_loader_options=self._default_loader_options,
default_options_have_wildcards=self._loader_options_have_wildcards or self.uniquify,
inherit_lazy_relationships=self.inherit_lazy_relationships,
merge_with_default=self.merge_loader_options,
)
async def add(
self,
data: ModelT,
*,
auto_commit: Optional[bool] = None,
auto_expunge: Optional[bool] = None,
auto_refresh: Optional[bool] = None,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
) -> ModelT:
"""Add ``data`` to the collection.
Args:
data: Instance to be added to the collection.
auto_expunge: Remove object from session before returning.
auto_refresh: Refresh object from session before returning.
auto_commit: Commit objects before returning.
error_messages: An optional dictionary of templates to use
for friendlier error messages to clients
Returns:
The added instance.
"""
error_messages = self._get_error_messages(
error_messages=error_messages,
default_messages=self.error_messages,
)
with wrap_sqlalchemy_exception(error_messages=error_messages, dialect_name=self._dialect.name):
instance = await self._attach_to_session(data)
await self._flush_or_commit(auto_commit=auto_commit)
await self._refresh(instance, auto_refresh=auto_refresh)
self._expunge(instance, auto_expunge=auto_expunge)
return instance
async def add_many(
self,
data: list[ModelT],
*,
auto_commit: Optional[bool] = None,
auto_expunge: Optional[bool] = None,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
) -> Sequence[ModelT]:
"""Add many `data` to the collection.
Args:
data: list of Instances to be added to the collection.
auto_expunge: Remove object from session before returning.
auto_commit: Commit objects before returning.
error_messages: An optional dictionary of templates to use
for friendlier error messages to clients
Returns:
The added instances.
"""
error_messages = self._get_error_messages(
error_messages=error_messages,
default_messages=self.error_messages,
)
with wrap_sqlalchemy_exception(error_messages=error_messages, dialect_name=self._dialect.name):
self.session.add_all(data)
await self._flush_or_commit(auto_commit=auto_commit)
for datum in data:
self._expunge(datum, auto_expunge=auto_expunge)
return data
async def delete(
self,
item_id: Any,
*,
auto_commit: Optional[bool] = None,
auto_expunge: Optional[bool] = None,
id_attribute: Optional[Union[str, InstrumentedAttribute[Any]]] = None,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
) -> ModelT:
"""Delete instance identified by ``item_id``.
Args:
item_id: Identifier of instance to be deleted.
auto_expunge: Remove object from session before returning.
auto_commit: Commit objects before returning.
id_attribute: Allows customization of the unique identifier to use for model fetching.
Defaults to `id`, but can reference any surrogate or candidate key for the table.
error_messages: An optional dictionary of templates to use
for friendlier error messages to clients
load: Set default relationships to be loaded
execution_options: Set default execution options
uniquify: Optionally apply the ``unique()`` method to results before returning.
Returns:
The deleted instance.
Raises:
NotFoundError: If no instance found identified by ``item_id``.
"""
self.uniquify = self._get_uniquify(uniquify)
error_messages = self._get_error_messages(
error_messages=error_messages,
default_messages=self.error_messages,
)
with wrap_sqlalchemy_exception(error_messages=error_messages, dialect_name=self._dialect.name):
execution_options = self._get_execution_options(execution_options)
instance = await self.get(
item_id,
id_attribute=id_attribute,
load=load,
execution_options=execution_options,
)
await self.session.delete(instance)
await self._flush_or_commit(auto_commit=auto_commit)
self._expunge(instance, auto_expunge=auto_expunge)
return instance
async def delete_many(
self,
item_ids: list[Any],
*,
auto_commit: Optional[bool] = None,
auto_expunge: Optional[bool] = None,
id_attribute: Optional[Union[str, InstrumentedAttribute[Any]]] = None,
chunk_size: Optional[int] = None,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
) -> Sequence[ModelT]:
"""Delete instance identified by `item_id`.
Args:
item_ids: Identifier of instance to be deleted.
auto_expunge: Remove object from session before returning.
auto_commit: Commit objects before returning.
id_attribute: Allows customization of the unique identifier to use for model fetching.
Defaults to `id`, but can reference any surrogate or candidate key for the table.
chunk_size: Allows customization of the ``insertmanyvalues_max_parameters`` setting for the driver.
Defaults to `950` if left unset.
error_messages: An optional dictionary of templates to use
for friendlier error messages to clients
load: Set default relationships to be loaded
execution_options: Set default execution options
uniquify: Optionally apply the ``unique()`` method to results before returning.
Returns:
The deleted instances.
"""
self.uniquify = self._get_uniquify(uniquify)
error_messages = self._get_error_messages(
error_messages=error_messages,
default_messages=self.error_messages,
)
with wrap_sqlalchemy_exception(error_messages=error_messages, dialect_name=self._dialect.name):
execution_options = self._get_execution_options(execution_options)
loader_options, _loader_options_have_wildcard = self._get_loader_options(load)
id_attribute = get_instrumented_attr(
self.model_type,
id_attribute if id_attribute is not None else self.id_attribute,
)
instances: list[ModelT] = []
if self._prefer_any:
chunk_size = len(item_ids) + 1
chunk_size = self._get_insertmanyvalues_max_parameters(chunk_size)
for idx in range(0, len(item_ids), chunk_size):
chunk = item_ids[idx : min(idx + chunk_size, len(item_ids))]
if self._dialect.delete_executemany_returning:
instances.extend(
await self.session.scalars(
self._get_delete_many_statement(
statement_type="delete",
model_type=self.model_type,
id_attribute=id_attribute,
id_chunk=chunk,
supports_returning=self._dialect.delete_executemany_returning,
loader_options=loader_options,
execution_options=execution_options,
),
),
)
else:
instances.extend(
await self.session.scalars(
self._get_delete_many_statement(
statement_type="select",
model_type=self.model_type,
id_attribute=id_attribute,
id_chunk=chunk,
supports_returning=self._dialect.delete_executemany_returning,
loader_options=loader_options,
execution_options=execution_options,
),
),
)
await self.session.execute(
self._get_delete_many_statement(
statement_type="delete",
model_type=self.model_type,
id_attribute=id_attribute,
id_chunk=chunk,
supports_returning=self._dialect.delete_executemany_returning,
loader_options=loader_options,
execution_options=execution_options,
),
)
await self._flush_or_commit(auto_commit=auto_commit)
for instance in instances:
self._expunge(instance, auto_expunge=auto_expunge)
return instances
def _get_insertmanyvalues_max_parameters(self, chunk_size: Optional[int] = None) -> int:
return chunk_size if chunk_size is not None else DEFAULT_INSERTMANYVALUES_MAX_PARAMETERS
async def delete_where(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
auto_commit: Optional[bool] = None,
auto_expunge: Optional[bool] = None,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
sanity_check: bool = True,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
**kwargs: Any,
) -> Sequence[ModelT]:
"""Delete instances specified by referenced kwargs and filters.
Args:
*filters: Types for specific filtering operations.
auto_expunge: Remove object from session before returning.
auto_commit: Commit objects before returning.
error_messages: An optional dictionary of templates to use
for friendlier error messages to clients
sanity_check: When true, the length of selected instances is compared to the deleted row count
load: Set default relationships to be loaded
execution_options: Set default execution options
uniquify: Optionally apply the ``unique()`` method to results before returning.
**kwargs: Arguments to apply to a delete
Returns:
The deleted instances.
"""
self.uniquify = self._get_uniquify(uniquify)
error_messages = self._get_error_messages(
error_messages=error_messages,
default_messages=self.error_messages,
)
with wrap_sqlalchemy_exception(error_messages=error_messages, dialect_name=self._dialect.name):
execution_options = self._get_execution_options(execution_options)
loader_options, _loader_options_have_wildcard = self._get_loader_options(load)
model_type = self.model_type
statement = self._get_base_stmt(
statement=delete(model_type),
loader_options=loader_options,
execution_options=execution_options,
)
statement = self._filter_select_by_kwargs(statement=statement, kwargs=kwargs)
statement = self._apply_filters(*filters, statement=statement, apply_pagination=False)
instances: list[ModelT] = []
if self._dialect.delete_executemany_returning:
instances.extend(await self.session.scalars(statement.returning(model_type)))
else:
instances.extend(
await self.list(
*filters,
load=load,
execution_options=execution_options,
auto_expunge=auto_expunge,
**kwargs,
),
)
result = await self.session.execute(statement)
row_count = getattr(result, "rowcount", -2)
if sanity_check and row_count >= 0 and len(instances) != row_count: # pyright: ignore # noqa: PGH003
# backends will return a -1 if they can't determine impacted rowcount
# only compare length of selected instances to results if it's >= 0
await self.session.rollback()
raise RepositoryError(detail="Deleted count does not match fetched count. Rollback issued.")
await self._flush_or_commit(auto_commit=auto_commit)
for instance in instances:
self._expunge(instance, auto_expunge=auto_expunge)
return instances
async def exists(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
**kwargs: Any,
) -> bool:
"""Return true if the object specified by ``kwargs`` exists.
Args:
*filters: Types for specific filtering operations.
error_messages: An optional dictionary of templates to use
for friendlier error messages to clients
load: Set default relationships to be loaded
execution_options: Set default execution options
uniquify: Optionally apply the ``unique()`` method to results before returning.
**kwargs: Identifier of the instance to be retrieved.
Returns:
True if the instance was found. False if not found..
"""
error_messages = self._get_error_messages(
error_messages=error_messages,
default_messages=self.error_messages,
)
existing = await self.count(
*filters,
load=load,
execution_options=execution_options,
error_messages=error_messages,
**kwargs,
)
return existing > 0
def _get_base_stmt(
self,
*,
statement: StatementTypeT,
loader_options: Optional[list[_AbstractLoad]],
execution_options: Optional[dict[str, Any]],
) -> StatementTypeT:
"""Get base statement with options applied.
Args:
statement: The select statement to modify
loader_options: Options for loading relationships
execution_options: Options for statement execution
Returns:
Modified select statement
"""
if loader_options:
statement = cast("StatementTypeT", statement.options(*loader_options))
if execution_options:
statement = cast("StatementTypeT", statement.execution_options(**execution_options))
return statement
def _get_delete_many_statement(
self,
*,
model_type: type[ModelT],
id_attribute: InstrumentedAttribute[Any],
id_chunk: list[Any],
supports_returning: bool,
statement_type: Literal["delete", "select"] = "delete",
loader_options: Optional[list[_AbstractLoad]],
execution_options: Optional[dict[str, Any]],
) -> Union[Select[tuple[ModelT]], Delete, ReturningDelete[tuple[ModelT]]]:
# Base statement is static
statement = self._get_base_stmt(
statement=delete(model_type) if statement_type == "delete" else select(model_type),
loader_options=loader_options,
execution_options=execution_options,
)
if execution_options:
statement = statement.execution_options(**execution_options)
if supports_returning and statement_type != "select":
statement = cast("ReturningDelete[tuple[ModelT]]", statement.returning(model_type)) # type: ignore[union-attr,assignment] # pyright: ignore[reportUnknownLambdaType,reportUnknownMemberType,reportAttributeAccessIssue,reportUnknownVariableType]
if self._prefer_any:
return statement.where(any_(id_chunk) == id_attribute) # type: ignore[arg-type]
return statement.where(id_attribute.in_(id_chunk)) # pyright: ignore[reportUnknownMemberType,reportUnknownVariableType]
async def get(
self,
item_id: Any,
*,
auto_expunge: Optional[bool] = None,
statement: Optional[Select[tuple[ModelT]]] = None,
id_attribute: Optional[Union[str, InstrumentedAttribute[Any]]] = None,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
) -> ModelT:
"""Get instance identified by `item_id`.
Args:
item_id: Identifier of the instance to be retrieved.
auto_expunge: Remove object from session before returning.
statement: To facilitate customization of the underlying select query.
id_attribute: Allows customization of the unique identifier to use for model fetching.
Defaults to `id`, but can reference any surrogate or candidate key for the table.
error_messages: An optional dictionary of templates to use
for friendlier error messages to clients
load: Set relationships to be loaded
execution_options: Set default execution options
uniquify: Optionally apply the ``unique()`` method to results before returning.
Returns:
The retrieved instance.
Raises:
NotFoundError: If no instance found identified by `item_id`.
"""
self.uniquify = self._get_uniquify(uniquify)
error_messages = self._get_error_messages(
error_messages=error_messages,
default_messages=self.error_messages,
)
with wrap_sqlalchemy_exception(error_messages=error_messages, dialect_name=self._dialect.name):
execution_options = self._get_execution_options(execution_options)
statement = self.statement if statement is None else statement
loader_options, loader_options_have_wildcard = self._get_loader_options(load)
id_attribute = id_attribute if id_attribute is not None else self.id_attribute
statement = self._get_base_stmt(
statement=statement,
loader_options=loader_options,
execution_options=execution_options,
)
statement = self._filter_select_by_kwargs(statement, [(id_attribute, item_id)])
instance = (await self._execute(statement, uniquify=loader_options_have_wildcard)).scalar_one_or_none()
instance = self.check_not_found(instance)
self._expunge(instance, auto_expunge=auto_expunge)
return instance
async def get_one(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
auto_expunge: Optional[bool] = None,
statement: Optional[Select[tuple[ModelT]]] = None,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
**kwargs: Any,
) -> ModelT:
"""Get instance identified by ``kwargs``.
Args:
*filters: Types for specific filtering operations.
auto_expunge: Remove object from session before returning.
statement: To facilitate customization of the underlying select query.
error_messages: An optional dictionary of templates to use
for friendlier error messages to clients
load: Set relationships to be loaded
execution_options: Set default execution options
uniquify: Optionally apply the ``unique()`` method to results before returning.
**kwargs: Identifier of the instance to be retrieved.
Returns:
The retrieved instance.
Raises:
NotFoundError: If no instance found identified by `item_id`.
"""
self.uniquify = self._get_uniquify(uniquify)
error_messages = self._get_error_messages(
error_messages=error_messages,
default_messages=self.error_messages,
)
with wrap_sqlalchemy_exception(error_messages=error_messages, dialect_name=self._dialect.name):
execution_options = self._get_execution_options(execution_options)
statement = self.statement if statement is None else statement
loader_options, loader_options_have_wildcard = self._get_loader_options(load)
statement = self._get_base_stmt(
statement=statement,
loader_options=loader_options,
execution_options=execution_options,
)
statement = self._apply_filters(*filters, apply_pagination=False, statement=statement)
statement = self._filter_select_by_kwargs(statement, kwargs)
instance = (await self._execute(statement, uniquify=loader_options_have_wildcard)).scalar_one_or_none()
instance = self.check_not_found(instance)
self._expunge(instance, auto_expunge=auto_expunge)
return instance
async def get_one_or_none(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
auto_expunge: Optional[bool] = None,
statement: Optional[Select[tuple[ModelT]]] = None,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
**kwargs: Any,
) -> Union[ModelT, None]:
"""Get instance identified by ``kwargs`` or None if not found.
Args:
*filters: Types for specific filtering operations.
auto_expunge: Remove object from session before returning.
statement: To facilitate customization of the underlying select query.
error_messages: An optional dictionary of templates to use
for friendlier error messages to clients
load: Set relationships to be loaded
execution_options: Set default execution options
uniquify: Optionally apply the ``unique()`` method to results before returning.
**kwargs: Identifier of the instance to be retrieved.
Returns:
The retrieved instance or None
"""
self.uniquify = self._get_uniquify(uniquify)
error_messages = self._get_error_messages(
error_messages=error_messages,
default_messages=self.error_messages,
)
with wrap_sqlalchemy_exception(error_messages=error_messages, dialect_name=self._dialect.name):
execution_options = self._get_execution_options(execution_options)
statement = self.statement if statement is None else statement
loader_options, loader_options_have_wildcard = self._get_loader_options(load)
statement = self._get_base_stmt(
statement=statement,
loader_options=loader_options,
execution_options=execution_options,
)
statement = self._apply_filters(*filters, apply_pagination=False, statement=statement)
statement = self._filter_select_by_kwargs(statement, kwargs)
instance = cast(
"Result[tuple[ModelT]]",
(await self._execute(statement, uniquify=loader_options_have_wildcard)),
).scalar_one_or_none()
if instance:
self._expunge(instance, auto_expunge=auto_expunge)
return instance
async def get_or_upsert(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
match_fields: Optional[Union[list[str], str]] = None,
upsert: bool = True,
attribute_names: Optional[Iterable[str]] = None,
with_for_update: Optional[bool] = None,
auto_commit: Optional[bool] = None,
auto_expunge: Optional[bool] = None,
auto_refresh: Union[bool, None] = None,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
**kwargs: Any,
) -> tuple[ModelT, bool]:
"""Get instance identified by ``kwargs`` or create if it doesn't exist.
Args:
*filters: Types for specific filtering operations.
match_fields: a list of keys to use to match the existing model. When
empty, all fields are matched.
upsert: When using match_fields and actual model values differ from
`kwargs`, automatically perform an update operation on the model.
attribute_names: an iterable of attribute names to pass into the ``update``
method.
with_for_update: indicating FOR UPDATE should be used, or may be a
dictionary containing flags to indicate a more specific set of
FOR UPDATE flags for the SELECT
auto_expunge: Remove object from session before returning.
auto_refresh: Refresh object from session before returning.
auto_commit: Commit objects before returning.
error_messages: An optional dictionary of templates to use
for friendlier error messages to clients
load: Set relationships to be loaded
execution_options: Set default execution options
uniquify: Optionally apply the ``unique()`` method to results before returning.
**kwargs: Identifier of the instance to be retrieved.
Returns:
a tuple that includes the instance and whether it needed to be created.
When using match_fields and actual model values differ from ``kwargs``, the
model value will be updated.
"""
self.uniquify = self._get_uniquify(uniquify)
error_messages = self._get_error_messages(
error_messages=error_messages,
default_messages=self.error_messages,
)
with wrap_sqlalchemy_exception(error_messages=error_messages, dialect_name=self._dialect.name):
if match_fields := self._get_match_fields(match_fields=match_fields):
match_filter = {
field_name: kwargs.get(field_name)
for field_name in match_fields
if kwargs.get(field_name) is not None
}
else:
match_filter = kwargs
existing = await self.get_one_or_none(
*filters,
**match_filter,
load=load,
execution_options=execution_options,
)
if not existing:
return (
await self.add(
self.model_type(**kwargs),
auto_commit=auto_commit,
auto_expunge=auto_expunge,
auto_refresh=auto_refresh,
),
True,
)
if upsert:
for field_name, new_field_value in kwargs.items():
field = getattr(existing, field_name, MISSING)
if field is not MISSING and field != new_field_value:
setattr(existing, field_name, new_field_value)
existing = await self._attach_to_session(existing, strategy="merge")
await self._flush_or_commit(auto_commit=auto_commit)
await self._refresh(
existing,
attribute_names=attribute_names,
with_for_update=with_for_update,
auto_refresh=auto_refresh,
)
self._expunge(existing, auto_expunge=auto_expunge)
return existing, False
async def get_and_update(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
match_fields: Optional[Union[list[str], str]] = None,
attribute_names: Optional[Iterable[str]] = None,
with_for_update: Optional[bool] = None,
auto_commit: Optional[bool] = None,
auto_expunge: Optional[bool] = None,
auto_refresh: Optional[bool] = None,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
**kwargs: Any,
) -> tuple[ModelT, bool]:
"""Get instance identified by ``kwargs`` and update the model if the arguments are different.
Args:
*filters: Types for specific filtering operations.
match_fields: a list of keys to use to match the existing model. When
empty, all fields are matched.
attribute_names: an iterable of attribute names to pass into the ``update``
method.
with_for_update: indicating FOR UPDATE should be used, or may be a
dictionary containing flags to indicate a more specific set of
FOR UPDATE flags for the SELECT
auto_expunge: Remove object from session before returning.
auto_refresh: Refresh object from session before returning.
auto_commit: Commit objects before returning.
error_messages: An optional dictionary of templates to use
for friendlier error messages to clients
load: Set relationships to be loaded
execution_options: Set default execution options
uniquify: Optionally apply the ``unique()`` method to results before returning.
**kwargs: Identifier of the instance to be retrieved.
Returns:
a tuple that includes the instance and whether it needed to be updated.
When using match_fields and actual model values differ from ``kwargs``, the
model value will be updated.
Raises:
NotFoundError: If no instance found identified by `item_id`.
"""
self.uniquify = self._get_uniquify(uniquify)
error_messages = self._get_error_messages(
error_messages=error_messages,
default_messages=self.error_messages,
)
with wrap_sqlalchemy_exception(error_messages=error_messages, dialect_name=self._dialect.name):
if match_fields := self._get_match_fields(match_fields=match_fields):
match_filter = {
field_name: kwargs.get(field_name)
for field_name in match_fields
if kwargs.get(field_name) is not None
}
else:
match_filter = kwargs
existing = await self.get_one(*filters, **match_filter, load=load, execution_options=execution_options)
updated = False
for field_name, new_field_value in kwargs.items():
field = getattr(existing, field_name, MISSING)
if field is not MISSING and field != new_field_value:
updated = True
setattr(existing, field_name, new_field_value)
existing = await self._attach_to_session(existing, strategy="merge")
await self._flush_or_commit(auto_commit=auto_commit)
await self._refresh(
existing,
attribute_names=attribute_names,
with_for_update=with_for_update,
auto_refresh=auto_refresh,
)
self._expunge(existing, auto_expunge=auto_expunge)
return existing, updated
async def count(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
statement: Optional[Select[tuple[ModelT]]] = None,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
**kwargs: Any,
) -> int:
"""Get the count of records returned by a query.
Args:
*filters: Types for specific filtering operations.
statement: To facilitate customization of the underlying select query.
error_messages: An optional dictionary of templates to use
for friendlier error messages to clients
load: Set relationships to be loaded
execution_options: Set default execution options
uniquify: Optionally apply the ``unique()`` method to results before returning.
**kwargs: Instance attribute value filters.
Returns:
Count of records returned by query, ignoring pagination.
"""
self.uniquify = self._get_uniquify(uniquify)
error_messages = self._get_error_messages(
error_messages=error_messages,
default_messages=self.error_messages,
)
with wrap_sqlalchemy_exception(error_messages=error_messages, dialect_name=self._dialect.name):
execution_options = self._get_execution_options(execution_options)
statement = self.statement if statement is None else statement
loader_options, loader_options_have_wildcard = self._get_loader_options(load)
statement = self._get_base_stmt(
statement=statement,
loader_options=loader_options,
execution_options=execution_options,
)
statement = self._apply_filters(*filters, apply_pagination=False, statement=statement)
statement = self._filter_select_by_kwargs(statement, kwargs)
results = await self._execute(
statement=self._get_count_stmt(
statement=statement, loader_options=loader_options, execution_options=execution_options
),
uniquify=loader_options_have_wildcard,
)
return cast(int, results.scalar_one())
async def update(
self,
data: ModelT,
*,
attribute_names: Optional[Iterable[str]] = None,
with_for_update: Optional[bool] = None,
auto_commit: Optional[bool] = None,
auto_expunge: Optional[bool] = None,
auto_refresh: Optional[bool] = None,
id_attribute: Optional[Union[str, InstrumentedAttribute[Any]]] = None,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
) -> ModelT:
"""Update instance with the attribute values present on `data`.
Args:
data: An instance that should have a value for `self.id_attribute` that
exists in the collection.
attribute_names: an iterable of attribute names to pass into the ``update``
method.
with_for_update: indicating FOR UPDATE should be used, or may be a
dictionary containing flags to indicate a more specific set of
FOR UPDATE flags for the SELECT
auto_expunge: Remove object from session before returning.
auto_refresh: Refresh object from session before returning.
auto_commit: Commit objects before returning.
id_attribute: Allows customization of the unique identifier to use for model fetching.
Defaults to `id`, but can reference any surrogate or candidate key for the table.
error_messages: An optional dictionary of templates to use
for friendlier error messages to clients
load: Set relationships to be loaded
execution_options: Set default execution options
uniquify: Optionally apply the ``unique()`` method to results before returning.
Returns:
The updated instance.
Raises:
NotFoundError: If no instance found with same identifier as `data`.
"""
self.uniquify = self._get_uniquify(uniquify)
error_messages = self._get_error_messages(
error_messages=error_messages,
default_messages=self.error_messages,
)
with wrap_sqlalchemy_exception(error_messages=error_messages, dialect_name=self._dialect.name):
item_id = self.get_id_attribute_value(
data,
id_attribute=id_attribute,
)
# this will raise for not found, and will put the item in the session
await self.get(item_id, id_attribute=id_attribute, load=load, execution_options=execution_options)
# this will merge the inbound data to the instance we just put in the session
instance = await self._attach_to_session(data, strategy="merge")
await self._flush_or_commit(auto_commit=auto_commit)
await self._refresh(
instance,
attribute_names=attribute_names,
with_for_update=with_for_update,
auto_refresh=auto_refresh,
)
self._expunge(instance, auto_expunge=auto_expunge)
return instance
async def update_many(
self,
data: list[ModelT],
*,
auto_commit: Optional[bool] = None,
auto_expunge: Optional[bool] = None,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
) -> list[ModelT]:
"""Update one or more instances with the attribute values present on `data`.
This function has an optimized bulk update based on the configured SQL dialect:
- For backends supporting `RETURNING` with `executemany`, a single bulk update with returning clause is executed.
- For other backends, it does a bulk update and then returns the updated data after a refresh.
Args:
data: A list of instances to update. Each should have a value for `self.id_attribute` that exists in the
collection.
auto_expunge: Remove object from session before returning.
auto_commit: Commit objects before returning.
error_messages: An optional dictionary of templates to use
for friendlier error messages to clients
load: Set default relationships to be loaded
execution_options: Set default execution options
uniquify: Optionally apply the ``unique()`` method to results before returning.
Returns:
The updated instances.
Raises:
NotFoundError: If no instance found with same identifier as `data`.
"""
self.uniquify = self._get_uniquify(uniquify)
error_messages = self._get_error_messages(
error_messages=error_messages,
default_messages=self.error_messages,
)
data_to_update: list[dict[str, Any]] = [v.to_dict() if isinstance(v, self.model_type) else v for v in data] # type: ignore[misc]
with wrap_sqlalchemy_exception(error_messages=error_messages, dialect_name=self._dialect.name):
execution_options = self._get_execution_options(execution_options)
loader_options = self._get_loader_options(load)[0]
supports_returning = self._dialect.update_executemany_returning and self._dialect.name != "oracle"
statement = self._get_update_many_statement(
self.model_type,
supports_returning,
loader_options=loader_options,
execution_options=execution_options,
)
if supports_returning:
instances = list(
await self.session.scalars(
statement,
cast("_CoreSingleExecuteParams", data_to_update), # this is not correct but the only way
# currently to deal with an SQLAlchemy typing issue. See
# https://github.com/sqlalchemy/sqlalchemy/discussions/9925
execution_options=execution_options,
),
)
await self._flush_or_commit(auto_commit=auto_commit)
for instance in instances:
self._expunge(instance, auto_expunge=auto_expunge)
return instances
await self.session.execute(statement, data_to_update, execution_options=execution_options)
await self._flush_or_commit(auto_commit=auto_commit)
return data
def _get_update_many_statement(
self,
model_type: type[ModelT],
supports_returning: bool,
loader_options: Union[list[_AbstractLoad], None],
execution_options: Union[dict[str, Any], None],
) -> Union[Update, ReturningUpdate[tuple[ModelT]]]:
# Base update statement is static
statement = self._get_base_stmt(
statement=update(table=model_type), loader_options=loader_options, execution_options=execution_options
)
if supports_returning:
return statement.returning(model_type)
return statement
async def list_and_count(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
statement: Optional[Select[tuple[ModelT]]] = None,
auto_expunge: Optional[bool] = None,
count_with_window_function: Optional[bool] = None,
order_by: Optional[Union[list[OrderingPair], OrderingPair]] = None,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
**kwargs: Any,
) -> tuple[list[ModelT], int]:
"""List records with total count.
Args:
*filters: Types for specific filtering operations.
statement: To facilitate customization of the underlying select query.
auto_expunge: Remove object from session before returning.
count_with_window_function: When false, list and count will use two queries instead of an analytical window function.
order_by: Set default order options for queries.
error_messages: An optional dictionary of templates to use
for friendlier error messages to clients
load: Set relationships to be loaded
execution_options: Set default execution options
uniquify: Optionally apply the ``unique()`` method to results before returning.
**kwargs: Instance attribute value filters.
Returns:
Count of records returned by query, ignoring pagination.
"""
self.count_with_window_function = (
count_with_window_function if count_with_window_function is not None else self.count_with_window_function
)
self.uniquify = self._get_uniquify(uniquify)
error_messages = self._get_error_messages(
error_messages=error_messages,
default_messages=self.error_messages,
)
if self._dialect.name in {"spanner", "spanner+spanner"} or count_with_window_function:
return await self._list_and_count_basic(
*filters,
auto_expunge=auto_expunge,
statement=statement,
load=load,
execution_options=execution_options,
order_by=order_by,
error_messages=error_messages,
**kwargs,
)
return await self._list_and_count_window(
*filters,
auto_expunge=auto_expunge,
statement=statement,
load=load,
execution_options=execution_options,
error_messages=error_messages,
order_by=order_by,
**kwargs,
)
def _expunge(self, instance: ModelT, auto_expunge: Optional[bool]) -> None:
if auto_expunge is None:
auto_expunge = self.auto_expunge
return self.session.expunge(instance) if auto_expunge else None
async def _flush_or_commit(self, auto_commit: Optional[bool]) -> None:
if auto_commit is None:
auto_commit = self.auto_commit
return await self.session.commit() if auto_commit else await self.session.flush()
async def _refresh(
self,
instance: ModelT,
auto_refresh: Optional[bool],
attribute_names: Optional[Iterable[str]] = None,
with_for_update: Optional[bool] = None,
) -> None:
if auto_refresh is None:
auto_refresh = self.auto_refresh
return (
await self.session.refresh(
instance=instance,
attribute_names=attribute_names,
with_for_update=with_for_update,
)
if auto_refresh
else None
)
async def _list_and_count_window(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
auto_expunge: Optional[bool] = None,
statement: Optional[Select[tuple[ModelT]]] = None,
order_by: Optional[Union[list[OrderingPair], OrderingPair]] = None,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
**kwargs: Any,
) -> tuple[list[ModelT], int]:
"""List records with total count.
Args:
*filters: Types for specific filtering operations.
auto_expunge: Remove object from session before returning.
statement: To facilitate customization of the underlying select query.
order_by: List[OrderingPair] | OrderingPair | None = None,
error_messages: An optional dictionary of templates to use
for friendlier error messages to clients
load: Set relationships to be loaded
execution_options: Set default execution options
**kwargs: Instance attribute value filters.
Returns:
Count of records returned by query using an analytical window function, ignoring pagination.
"""
error_messages = self._get_error_messages(
error_messages=error_messages,
default_messages=self.error_messages,
)
with wrap_sqlalchemy_exception(error_messages=error_messages, dialect_name=self._dialect.name):
execution_options = self._get_execution_options(execution_options)
statement = self.statement if statement is None else statement
loader_options, loader_options_have_wildcard = self._get_loader_options(load)
statement = self._get_base_stmt(
statement=statement,
loader_options=loader_options,
execution_options=execution_options,
)
if order_by is None:
order_by = self.order_by or []
statement = self._apply_order_by(statement=statement, order_by=order_by)
statement = self._apply_filters(*filters, statement=statement)
statement = self._filter_select_by_kwargs(statement, kwargs)
result = await self._execute(
statement.add_columns(over(sql_func.count())), uniquify=loader_options_have_wildcard
)
count: int = 0
instances: list[ModelT] = []
for i, (instance, count_value) in enumerate(result):
self._expunge(instance, auto_expunge=auto_expunge)
instances.append(instance)
if i == 0:
count = count_value
return instances, count
async def _list_and_count_basic(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
auto_expunge: Optional[bool] = None,
statement: Optional[Select[tuple[ModelT]]] = None,
order_by: Optional[Union[list[OrderingPair], OrderingPair]] = None,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
**kwargs: Any,
) -> tuple[list[ModelT], int]:
"""List records with total count.
Args:
*filters: Types for specific filtering operations.
auto_expunge: Remove object from session before returning.
statement: To facilitate customization of the underlying select query.
order_by: Set default order options for queries.
error_messages: An optional dictionary of templates to use
for friendlier error messages to clients
load: Set relationships to be loaded
execution_options: Set default execution options
**kwargs: Instance attribute value filters.
Returns:
Count of records returned by query using 2 queries, ignoring pagination.
"""
error_messages = self._get_error_messages(
error_messages=error_messages,
default_messages=self.error_messages,
)
with wrap_sqlalchemy_exception(error_messages=error_messages, dialect_name=self._dialect.name):
execution_options = self._get_execution_options(execution_options)
statement = self.statement if statement is None else statement
loader_options, loader_options_have_wildcard = self._get_loader_options(load)
statement = self._get_base_stmt(
statement=statement,
loader_options=loader_options,
execution_options=execution_options,
)
if order_by is None:
order_by = self.order_by or []
statement = self._apply_order_by(statement=statement, order_by=order_by)
statement = self._apply_filters(*filters, statement=statement)
statement = self._filter_select_by_kwargs(statement, kwargs)
count_result = await self.session.execute(
self._get_count_stmt(
statement,
loader_options=loader_options,
execution_options=execution_options,
),
)
count = count_result.scalar_one()
result = await self._execute(statement, uniquify=loader_options_have_wildcard)
instances: list[ModelT] = []
for (instance,) in result:
self._expunge(instance, auto_expunge=auto_expunge)
instances.append(instance)
return instances, count
def _get_count_stmt(
self,
statement: Select[tuple[ModelT]],
loader_options: Optional[list[_AbstractLoad]],
execution_options: Optional[dict[str, Any]],
) -> Select[tuple[int]]:
# Count statement transformations are static
return (
statement.with_only_columns(sql_func.count(text("1")), maintain_column_froms=True)
.limit(None)
.offset(None)
.order_by(None)
)
async def upsert(
self,
data: ModelT,
*,
attribute_names: Optional[Iterable[str]] = None,
with_for_update: Optional[bool] = None,
auto_expunge: Optional[bool] = None,
auto_commit: Optional[bool] = None,
auto_refresh: Optional[bool] = None,
match_fields: Optional[Union[list[str], str]] = None,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
) -> ModelT:
"""Modify or create instance.
Updates instance with the attribute values present on `data`, or creates a new instance if
one doesn't exist.
Args:
data: Instance to update existing, or be created. Identifier used to determine if an
existing instance exists is the value of an attribute on `data` named as value of
`self.id_attribute`.
attribute_names: an iterable of attribute names to pass into the ``update`` method.
with_for_update: indicating FOR UPDATE should be used, or may be a
dictionary containing flags to indicate a more specific set of
FOR UPDATE flags for the SELECT
auto_expunge: Remove object from session before returning.
auto_refresh: Refresh object from session before returning.
auto_commit: Commit objects before returning.
match_fields: a list of keys to use to match the existing model. When
empty, all fields are matched.
error_messages: An optional dictionary of templates to use
for friendlier error messages to clients
load: Set relationships to be loaded
execution_options: Set default execution options
uniquify: Optionally apply the ``unique()`` method to results before returning.
Returns:
The updated or created instance.
Raises:
NotFoundError: If no instance found with same identifier as `data`.
"""
self.uniquify = self._get_uniquify(uniquify)
error_messages = self._get_error_messages(
error_messages=error_messages,
default_messages=self.error_messages,
)
if match_fields := self._get_match_fields(match_fields=match_fields):
match_filter = {
field_name: getattr(data, field_name, None)
for field_name in match_fields
if getattr(data, field_name, None) is not None
}
elif getattr(data, self.id_attribute, None) is not None:
match_filter = {self.id_attribute: getattr(data, self.id_attribute, None)}
else:
match_filter = data.to_dict(exclude={self.id_attribute})
existing = await self.get_one_or_none(load=load, execution_options=execution_options, **match_filter)
if not existing:
return await self.add(
data,
auto_commit=auto_commit,
auto_expunge=auto_expunge,
auto_refresh=auto_refresh,
)
with wrap_sqlalchemy_exception(error_messages=error_messages, dialect_name=self._dialect.name):
for field_name, new_field_value in data.to_dict(exclude={self.id_attribute}).items():
field = getattr(existing, field_name, MISSING)
if field is not MISSING and field != new_field_value:
setattr(existing, field_name, new_field_value)
instance = await self._attach_to_session(existing, strategy="merge")
await self._flush_or_commit(auto_commit=auto_commit)
await self._refresh(
instance,
attribute_names=attribute_names,
with_for_update=with_for_update,
auto_refresh=auto_refresh,
)
self._expunge(instance, auto_expunge=auto_expunge)
return instance
async def upsert_many(
self,
data: list[ModelT],
*,
auto_expunge: Optional[bool] = None,
auto_commit: Optional[bool] = None,
no_merge: bool = False,
match_fields: Optional[Union[list[str], str]] = None,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
) -> list[ModelT]:
"""Modify or create multiple instances.
Update instances with the attribute values present on `data`, or create a new instance if
one doesn't exist.
!!! tip
In most cases, you will want to set `match_fields` to the combination of attributes, excluded the primary key, that define uniqueness for a row.
Args:
data: Instance to update existing, or be created. Identifier used to determine if an
existing instance exists is the value of an attribute on ``data`` named as value of
:attr:`id_attribute`.
auto_expunge: Remove object from session before returning.
auto_commit: Commit objects before returning.
no_merge: Skip the usage of optimized Merge statements
match_fields: a list of keys to use to match the existing model. When
empty, automatically uses ``self.id_attribute`` (`id` by default) to match .
error_messages: An optional dictionary of templates to use
for friendlier error messages to clients
load: Set default relationships to be loaded
execution_options: Set default execution options
uniquify: Optionally apply the ``unique()`` method to results before returning.
Returns:
The updated or created instance.
Raises:
NotFoundError: If no instance found with same identifier as ``data``.
"""
self.uniquify = self._get_uniquify(uniquify)
error_messages = self._get_error_messages(
error_messages=error_messages,
default_messages=self.error_messages,
)
instances: list[ModelT] = []
data_to_update: list[ModelT] = []
data_to_insert: list[ModelT] = []
match_fields = self._get_match_fields(match_fields=match_fields)
if match_fields is None:
match_fields = [self.id_attribute]
match_filter: list[Union[StatementFilter, ColumnElement[bool]]] = []
if match_fields:
for field_name in match_fields:
field = get_instrumented_attr(self.model_type, field_name)
matched_values = [
field_data for datum in data if (field_data := getattr(datum, field_name)) is not None
]
match_filter.append(any_(matched_values) == field if self._prefer_any else field.in_(matched_values)) # type: ignore[arg-type]
with wrap_sqlalchemy_exception(error_messages=error_messages, dialect_name=self._dialect.name):
existing_objs = await self.list(
*match_filter,
load=load,
execution_options=execution_options,
auto_expunge=False,
)
for field_name in match_fields:
field = get_instrumented_attr(self.model_type, field_name)
matched_values = list(
{getattr(datum, field_name) for datum in existing_objs if datum}, # ensure the list is unique
)
match_filter.append(any_(matched_values) == field if self._prefer_any else field.in_(matched_values)) # type: ignore[arg-type]
existing_ids = self._get_object_ids(existing_objs=existing_objs)
data = self._merge_on_match_fields(data, existing_objs, match_fields)
for datum in data:
if getattr(datum, self.id_attribute, None) in existing_ids:
data_to_update.append(datum)
else:
data_to_insert.append(datum)
if data_to_insert:
instances.extend(
await self.add_many(data_to_insert, auto_commit=False, auto_expunge=False),
)
if data_to_update:
instances.extend(
await self.update_many(
data_to_update,
auto_commit=False,
auto_expunge=False,
load=load,
execution_options=execution_options,
),
)
await self._flush_or_commit(auto_commit=auto_commit)
for instance in instances:
self._expunge(instance, auto_expunge=auto_expunge)
return instances
def _get_object_ids(self, existing_objs: list[ModelT]) -> list[Any]:
return [obj_id for datum in existing_objs if (obj_id := getattr(datum, self.id_attribute)) is not None]
def _get_match_fields(
self,
match_fields: Optional[Union[list[str], str]] = None,
id_attribute: Optional[str] = None,
) -> Optional[list[str]]:
id_attribute = id_attribute or self.id_attribute
match_fields = match_fields or self.match_fields
if isinstance(match_fields, str):
match_fields = [match_fields]
return match_fields
def _merge_on_match_fields(
self,
data: list[ModelT],
existing_data: list[ModelT],
match_fields: Optional[Union[list[str], str]] = None,
) -> list[ModelT]:
match_fields = self._get_match_fields(match_fields=match_fields)
if match_fields is None:
match_fields = [self.id_attribute]
for existing_datum in existing_data:
for _row_id, datum in enumerate(data):
match = all(
getattr(datum, field_name) == getattr(existing_datum, field_name) for field_name in match_fields
)
if match and getattr(existing_datum, self.id_attribute) is not None:
setattr(datum, self.id_attribute, getattr(existing_datum, self.id_attribute))
return data
async def list(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
auto_expunge: Optional[bool] = None,
statement: Optional[Select[tuple[ModelT]]] = None,
order_by: Optional[Union[list[OrderingPair], OrderingPair]] = None,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
**kwargs: Any,
) -> list[ModelT]:
"""Get a list of instances, optionally filtered.
Args:
*filters: Types for specific filtering operations.
auto_expunge: Remove object from session before returning.
statement: To facilitate customization of the underlying select query.
order_by: Set default order options for queries.
error_messages: An optional dictionary of templates to use
for friendlier error messages to clients
load: Set relationships to be loaded
execution_options: Set default execution options
uniquify: Optionally apply the ``unique()`` method to results before returning.
**kwargs: Instance attribute value filters.
Returns:
The list of instances, after filtering applied.
"""
self.uniquify = self._get_uniquify(uniquify)
error_messages = self._get_error_messages(
error_messages=error_messages,
default_messages=self.error_messages,
)
with wrap_sqlalchemy_exception(error_messages=error_messages, dialect_name=self._dialect.name):
execution_options = self._get_execution_options(execution_options)
statement = self.statement if statement is None else statement
loader_options, loader_options_have_wildcard = self._get_loader_options(load)
statement = self._get_base_stmt(
statement=statement,
loader_options=loader_options,
execution_options=execution_options,
)
if order_by is None:
order_by = self.order_by or []
statement = self._apply_order_by(statement=statement, order_by=order_by)
statement = self._apply_filters(*filters, statement=statement)
statement = self._filter_select_by_kwargs(statement, kwargs)
result = await self._execute(statement, uniquify=loader_options_have_wildcard)
instances = list(result.scalars())
for instance in instances:
self._expunge(instance, auto_expunge=auto_expunge)
return cast("list[ModelT]", instances)
@classmethod
async def check_health(cls, session: Union[AsyncSession, async_scoped_session[AsyncSession]]) -> bool:
"""Perform a health check on the database.
Args:
session: through which we run a check statement
Returns:
``True`` if healthy.
"""
with wrap_sqlalchemy_exception():
return ( # type: ignore[no-any-return]
await session.execute(cls._get_health_check_statement(session))
).scalar_one() == 1
@staticmethod
def _get_health_check_statement(session: Union[AsyncSession, async_scoped_session[AsyncSession]]) -> TextClause:
if session.bind and session.bind.dialect.name == "oracle":
return text("SELECT 1 FROM DUAL")
return text("SELECT 1")
async def _attach_to_session(
self, model: ModelT, strategy: Literal["add", "merge"] = "add", load: bool = True
) -> ModelT:
"""Attach detached instance to the session.
Args:
model: The instance to be attached to the session.
strategy: How the instance should be attached.
- "add": New instance added to session
- "merge": Instance merged with existing, or new one added.
load: Boolean, when False, merge switches into
a "high performance" mode which causes it to forego emitting history
events as well as all database access. This flag is used for
cases such as transferring graphs of objects into a session
from a second level cache, or to transfer just-loaded objects
into the session owned by a worker thread or process
without re-querying the database.
Returns:
Instance attached to the session - if `"merge"` strategy, may not be same instance
that was provided.
"""
if strategy == "add":
self.session.add(model)
return model
if strategy == "merge":
return await self.session.merge(model, load=load)
msg = "Unexpected value for `strategy`, must be `'add'` or `'merge'`" # type: ignore[unreachable]
raise ValueError(msg)
async def _execute(
self,
statement: Select[Any],
uniquify: bool = False,
) -> Result[Any]:
result = await self.session.execute(statement)
if uniquify or self.uniquify:
result = result.unique()
return result
class SQLAlchemyAsyncSlugRepository(
SQLAlchemyAsyncRepository[ModelT],
SQLAlchemyAsyncSlugRepositoryProtocol[ModelT],
):
"""Extends the repository to include slug model features.."""
async def get_by_slug(
self,
slug: str,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
**kwargs: Any,
) -> Optional[ModelT]:
"""Select record by slug value."""
return await self.get_one_or_none(
slug=slug,
load=load,
execution_options=execution_options,
error_messages=error_messages,
uniquify=uniquify,
)
async def get_available_slug(
self,
value_to_slugify: str,
**kwargs: Any,
) -> str:
"""Get a unique slug for the supplied value.
If the value is found to exist, a random 4 digit character is appended to the end.
Override this method to change the default behavior
Args:
value_to_slugify (str): A string that should be converted to a unique slug.
**kwargs: stuff
Returns:
str: a unique slug for the supplied value. This is safe for URLs and other unique identifiers.
"""
slug = slugify(value_to_slugify)
if await self._is_slug_unique(slug):
return slug
random_string = "".join(random.choices(string.ascii_lowercase + string.digits, k=4)) # noqa: S311
return f"{slug}-{random_string}"
async def _is_slug_unique(
self,
slug: str,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
**kwargs: Any,
) -> bool:
return await self.exists(slug=slug, load=load, execution_options=execution_options, **kwargs) is False
class SQLAlchemyAsyncQueryRepository:
"""SQLAlchemy Query Repository.
This is a loosely typed helper to query for when you need to select data in ways that don't align to the normal repository pattern.
"""
error_messages: Optional[ErrorMessages] = None
def __init__(
self,
*,
session: Union[AsyncSession, async_scoped_session[AsyncSession]],
error_messages: Optional[ErrorMessages] = None,
**kwargs: Any,
) -> None:
"""Repository pattern for SQLAlchemy models.
Args:
session: Session managing the unit-of-work for the operation.
error_messages: A set of error messages to use for operations.
**kwargs: Additional arguments.
"""
super().__init__(**kwargs)
self.session = session
self.error_messages = error_messages
self._dialect = self.session.bind.dialect if self.session.bind is not None else self.session.get_bind().dialect
async def get_one(
self,
statement: Select[tuple[Any]],
**kwargs: Any,
) -> Row[Any]:
"""Get instance identified by ``kwargs``.
Args:
statement: To facilitate customization of the underlying select query.
**kwargs: Instance attribute value filters.
Returns:
The retrieved instance.
Raises:
NotFoundError: If no instance found identified by `item_id`.
"""
with wrap_sqlalchemy_exception(error_messages=self.error_messages):
statement = self._filter_statement_by_kwargs(statement, **kwargs)
instance = (await self.execute(statement)).scalar_one_or_none()
return self.check_not_found(instance)
async def get_one_or_none(
self,
statement: Select[Any],
**kwargs: Any,
) -> Optional[Row[Any]]:
"""Get instance identified by ``kwargs`` or None if not found.
Args:
statement: To facilitate customization of the underlying select query.
**kwargs: Instance attribute value filters.
Returns:
The retrieved instance or None
"""
with wrap_sqlalchemy_exception(error_messages=self.error_messages):
statement = self._filter_statement_by_kwargs(statement, **kwargs)
instance = (await self.execute(statement)).scalar_one_or_none()
return instance or None
async def count(self, statement: Select[Any], **kwargs: Any) -> int:
"""Get the count of records returned by a query.
Args:
statement: To facilitate customization of the underlying select query.
**kwargs: Instance attribute value filters.
Returns:
Count of records returned by query, ignoring pagination.
"""
with wrap_sqlalchemy_exception(error_messages=self.error_messages):
statement = statement.with_only_columns(sql_func.count(text("1")), maintain_column_froms=True).order_by(
None,
)
statement = self._filter_statement_by_kwargs(statement, **kwargs)
results = await self.execute(statement)
return results.scalar_one() # type: ignore # noqa: PGH003
async def list_and_count(
self,
statement: Select[Any],
count_with_window_function: Optional[bool] = None,
**kwargs: Any,
) -> tuple[list[Row[Any]], int]:
"""List records with total count.
Args:
statement: To facilitate customization of the underlying select query.
count_with_window_function: Force list and count to use two queries instead of an analytical window function.
**kwargs: Instance attribute value filters.
Returns:
Count of records returned by query, ignoring pagination.
"""
if self._dialect.name in {"spanner", "spanner+spanner"} or count_with_window_function:
return await self._list_and_count_basic(statement=statement, **kwargs)
return await self._list_and_count_window(statement=statement, **kwargs)
async def _list_and_count_window(
self,
statement: Select[Any],
**kwargs: Any,
) -> tuple[list[Row[Any]], int]:
"""List records with total count.
Args:
*filters: Types for specific filtering operations.
statement: To facilitate customization of the underlying select query.
**kwargs: Instance attribute value filters.
Returns:
Count of records returned by query using an analytical window function, ignoring pagination.
"""
with wrap_sqlalchemy_exception(error_messages=self.error_messages):
statement = statement.add_columns(over(sql_func.count(text("1"))))
statement = self._filter_statement_by_kwargs(statement, **kwargs)
result = await self.execute(statement)
count: int = 0
instances: list[Row[Any]] = []
for i, (instance, count_value) in enumerate(result):
instances.append(instance)
if i == 0:
count = count_value
return instances, count
def _get_count_stmt(self, statement: Select[Any]) -> Select[Any]:
return statement.with_only_columns(sql_func.count(text("1")), maintain_column_froms=True).order_by(None) # pyright: ignore[reportUnknownVariable]
async def _list_and_count_basic(
self,
statement: Select[Any],
**kwargs: Any,
) -> tuple[list[Row[Any]], int]:
"""List records with total count.
Args:
statement: To facilitate customization of the underlying select query. .
**kwargs: Instance attribute value filters.
Returns:
Count of records returned by query using 2 queries, ignoring pagination.
"""
with wrap_sqlalchemy_exception(error_messages=self.error_messages):
statement = self._filter_statement_by_kwargs(statement, **kwargs)
count_result = await self.session.execute(self._get_count_stmt(statement))
count = count_result.scalar_one()
result = await self.execute(statement)
instances: list[Row[Any]] = []
for (instance,) in result:
instances.append(instance)
return instances, count
async def list(self, statement: Select[Any], **kwargs: Any) -> list[Row[Any]]:
"""Get a list of instances, optionally filtered.
Args:
statement: To facilitate customization of the underlying select query.
**kwargs: Instance attribute value filters.
Returns:
The list of instances, after filtering applied.
"""
with wrap_sqlalchemy_exception(error_messages=self.error_messages):
statement = self._filter_statement_by_kwargs(statement, **kwargs)
result = await self.execute(statement)
return list(result.all())
def _filter_statement_by_kwargs(
self,
statement: Select[Any],
/,
**kwargs: Any,
) -> Select[Any]:
"""Filter the collection by kwargs.
Args:
statement: statement to filter
**kwargs: key/value pairs such that objects remaining in the statement after filtering
have the property that their attribute named `key` has value equal to `value`.
"""
with wrap_sqlalchemy_exception(error_messages=self.error_messages):
return statement.filter_by(**kwargs)
# the following is all sqlalchemy implementation detail, and shouldn't be directly accessed
@staticmethod
def check_not_found(item_or_none: Optional[T]) -> T:
"""Raise :class:`NotFoundError` if ``item_or_none`` is ``None``.
Args:
item_or_none: Item to be tested for existence.
Returns:
The item, if it exists.
"""
if item_or_none is None:
msg = "No item found when one was expected"
raise NotFoundError(msg)
return item_or_none
async def execute(
self,
statement: Union[
ReturningDelete[tuple[Any]], ReturningUpdate[tuple[Any]], Select[tuple[Any]], Update, Delete, Select[Any]
],
) -> Result[Any]:
return await self.session.execute(statement)
python-advanced-alchemy-0.34.0/advanced_alchemy/repository/_sync.py 0000664 0000000 0000000 00000304503 14763441450 0025472 0 ustar 00root root 0000000 0000000 # Do not edit this file directly. It has been autogenerated from
# advanced_alchemy/repository/_async.py
import random
import string
from collections.abc import Iterable, Sequence
from typing import (
TYPE_CHECKING,
Any,
Final,
Literal,
Optional,
Protocol,
Union,
cast,
runtime_checkable,
)
from sqlalchemy import (
Delete,
Result,
Row,
Select,
TextClause,
Update,
any_,
delete,
over,
select,
text,
update,
)
from sqlalchemy import func as sql_func
from sqlalchemy.orm import InstrumentedAttribute, Session
from sqlalchemy.orm.scoping import scoped_session
from sqlalchemy.orm.strategy_options import _AbstractLoad # pyright: ignore[reportPrivateUsage]
from sqlalchemy.sql import ColumnElement
from sqlalchemy.sql.dml import ReturningDelete, ReturningUpdate
from advanced_alchemy.exceptions import ErrorMessages, NotFoundError, RepositoryError, wrap_sqlalchemy_exception
from advanced_alchemy.filters import StatementFilter, StatementTypeT
from advanced_alchemy.repository._util import (
DEFAULT_ERROR_MESSAGE_TEMPLATES,
FilterableRepository,
FilterableRepositoryProtocol,
LoadSpec,
get_abstract_loader_options,
get_instrumented_attr,
)
from advanced_alchemy.repository.typing import MISSING, ModelT, OrderingPair, T
from advanced_alchemy.utils.dataclass import Empty, EmptyType
from advanced_alchemy.utils.text import slugify
if TYPE_CHECKING:
from sqlalchemy.engine.interfaces import _CoreSingleExecuteParams # pyright: ignore[reportPrivateUsage]
DEFAULT_INSERTMANYVALUES_MAX_PARAMETERS: Final = 950
POSTGRES_VERSION_SUPPORTING_MERGE: Final = 15
@runtime_checkable
class SQLAlchemySyncRepositoryProtocol(FilterableRepositoryProtocol[ModelT], Protocol[ModelT]):
"""Base Protocol"""
id_attribute: str
match_fields: Optional[Union[list[str], str]] = None
statement: Select[tuple[ModelT]]
session: Union[Session, scoped_session[Session]]
auto_expunge: bool
auto_refresh: bool
auto_commit: bool
order_by: Optional[Union[list[OrderingPair], OrderingPair]] = None
error_messages: Optional[ErrorMessages] = None
wrap_exceptions: bool = True
def __init__(
self,
*,
statement: Optional[Select[tuple[ModelT]]] = None,
session: Union[Session, scoped_session[Session]],
auto_expunge: bool = False,
auto_refresh: bool = True,
auto_commit: bool = False,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
order_by: Optional[Union[list[OrderingPair], OrderingPair]] = None,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
wrap_exceptions: bool = True,
**kwargs: Any,
) -> None: ...
@classmethod
def get_id_attribute_value(
cls,
item: Union[ModelT, type[ModelT]],
id_attribute: Optional[Union[str, InstrumentedAttribute[Any]]] = None,
) -> Any: ...
@classmethod
def set_id_attribute_value(
cls,
item_id: Any,
item: ModelT,
id_attribute: Optional[Union[str, InstrumentedAttribute[Any]]] = None,
) -> ModelT: ...
@staticmethod
def check_not_found(item_or_none: Optional[ModelT]) -> ModelT: ...
def add(
self,
data: ModelT,
*,
auto_commit: Optional[bool] = None,
auto_expunge: Optional[bool] = None,
auto_refresh: Optional[bool] = None,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
) -> ModelT: ...
def add_many(
self,
data: list[ModelT],
*,
auto_commit: Optional[bool] = None,
auto_expunge: Optional[bool] = None,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
) -> Sequence[ModelT]: ...
def delete(
self,
item_id: Any,
*,
auto_commit: Optional[bool] = None,
auto_expunge: Optional[bool] = None,
id_attribute: Optional[Union[str, InstrumentedAttribute[Any]]] = None,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
) -> ModelT: ...
def delete_many(
self,
item_ids: list[Any],
*,
auto_commit: Optional[bool] = None,
auto_expunge: Optional[bool] = None,
id_attribute: Optional[Union[str, InstrumentedAttribute[Any]]] = None,
chunk_size: Optional[int] = None,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
) -> Sequence[ModelT]: ...
def delete_where(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
auto_commit: Optional[bool] = None,
auto_expunge: Optional[bool] = None,
load: Optional[LoadSpec] = None,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
execution_options: Optional[dict[str, Any]] = None,
sanity_check: bool = True,
**kwargs: Any,
) -> Sequence[ModelT]: ...
def exists(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
load: Optional[LoadSpec] = None,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
execution_options: Optional[dict[str, Any]] = None,
**kwargs: Any,
) -> bool: ...
def get(
self,
item_id: Any,
*,
auto_expunge: Optional[bool] = None,
statement: Optional[Select[tuple[ModelT]]] = None,
id_attribute: Optional[Union[str, InstrumentedAttribute[Any]]] = None,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
) -> ModelT: ...
def get_one(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
auto_expunge: Optional[bool] = None,
statement: Optional[Select[tuple[ModelT]]] = None,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
**kwargs: Any,
) -> ModelT: ...
def get_one_or_none(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
auto_expunge: Optional[bool] = None,
statement: Optional[Select[tuple[ModelT]]] = None,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
**kwargs: Any,
) -> Optional[ModelT]: ...
def get_or_upsert(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
match_fields: Optional[Union[list[str], str]] = None,
upsert: bool = True,
attribute_names: Optional[Iterable[str]] = None,
with_for_update: Optional[bool] = None,
auto_commit: Optional[bool] = None,
auto_expunge: Optional[bool] = None,
auto_refresh: Optional[bool] = None,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
**kwargs: Any,
) -> tuple[ModelT, bool]: ...
def get_and_update(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
match_fields: Optional[Union[list[str], str]] = None,
attribute_names: Optional[Iterable[str]] = None,
with_for_update: Optional[bool] = None,
auto_commit: Optional[bool] = None,
auto_expunge: Optional[bool] = None,
auto_refresh: Optional[bool] = None,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
**kwargs: Any,
) -> tuple[ModelT, bool]: ...
def count(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
statement: Optional[Select[tuple[ModelT]]] = None,
load: Optional[LoadSpec] = None,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
execution_options: Optional[dict[str, Any]] = None,
**kwargs: Any,
) -> int: ...
def update(
self,
data: ModelT,
*,
attribute_names: Optional[Iterable[str]] = None,
with_for_update: Optional[bool] = None,
auto_commit: Optional[bool] = None,
auto_expunge: Optional[bool] = None,
auto_refresh: Optional[bool] = None,
id_attribute: Optional[Union[str, InstrumentedAttribute[Any]]] = None,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
) -> ModelT: ...
def update_many(
self,
data: list[ModelT],
*,
auto_commit: Optional[bool] = None,
auto_expunge: Optional[bool] = None,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
) -> list[ModelT]: ...
def _get_update_many_statement(
self,
model_type: type[ModelT],
supports_returning: bool,
loader_options: Optional[list[_AbstractLoad]],
execution_options: Optional[dict[str, Any]],
) -> Union[Update, ReturningUpdate[tuple[ModelT]]]: ...
def upsert(
self,
data: ModelT,
*,
attribute_names: Optional[Iterable[str]] = None,
with_for_update: Optional[bool] = None,
auto_expunge: Optional[bool] = None,
auto_commit: Optional[bool] = None,
auto_refresh: Optional[bool] = None,
match_fields: Optional[Union[list[str], str]] = None,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
) -> ModelT: ...
def upsert_many(
self,
data: list[ModelT],
*,
auto_expunge: Optional[bool] = None,
auto_commit: Optional[bool] = None,
no_merge: bool = False,
match_fields: Optional[Union[list[str], str]] = None,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
) -> list[ModelT]: ...
def list_and_count(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
auto_expunge: Optional[bool] = None,
statement: Optional[Select[tuple[ModelT]]] = None,
count_with_window_function: Optional[bool] = None,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
order_by: Optional[Union[list[OrderingPair], OrderingPair]] = None,
**kwargs: Any,
) -> tuple[list[ModelT], int]: ...
def list(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
auto_expunge: Optional[bool] = None,
statement: Optional[Select[tuple[ModelT]]] = None,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
order_by: Optional[Union[list[OrderingPair], OrderingPair]] = None,
**kwargs: Any,
) -> list[ModelT]: ...
@classmethod
def check_health(cls, session: Union[Session, scoped_session[Session]]) -> bool: ...
@runtime_checkable
class SQLAlchemySyncSlugRepositoryProtocol(SQLAlchemySyncRepositoryProtocol[ModelT], Protocol[ModelT]):
"""Protocol for SQLAlchemy repositories that support slug-based operations.
Extends the base repository protocol to add slug-related functionality.
Type Parameters:
ModelT: The SQLAlchemy model type this repository handles.
"""
def get_by_slug(
self,
slug: str,
*,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
**kwargs: Any,
) -> Optional[ModelT]:
"""Get a model instance by its slug.
Args:
slug: The slug value to search for.
error_messages: Optional custom error message templates.
load: Specification for eager loading of relationships.
execution_options: Options for statement execution.
**kwargs: Additional filtering criteria.
Returns:
ModelT | None: The found model instance or None if not found.
"""
...
def get_available_slug(
self,
value_to_slugify: str,
**kwargs: Any,
) -> str:
"""Generate a unique slug for a given value.
Args:
value_to_slugify: The string to convert to a slug.
**kwargs: Additional parameters for slug generation.
Returns:
str: A unique slug derived from the input value.
"""
...
class SQLAlchemySyncRepository(SQLAlchemySyncRepositoryProtocol[ModelT], FilterableRepository[ModelT]):
"""Async SQLAlchemy repository implementation.
Provides a complete implementation of async database operations using SQLAlchemy,
including CRUD operations, filtering, and relationship loading.
Type Parameters:
ModelT: The SQLAlchemy model type this repository handles.
.. seealso::
:class:`~advanced_alchemy.repository._util.FilterableRepository`
"""
id_attribute: str = "id"
"""Name of the unique identifier for the model."""
loader_options: Optional[LoadSpec] = None
"""Default loader options for the repository."""
error_messages: Optional[ErrorMessages] = None
"""Default error messages for the repository."""
wrap_exceptions: bool = True
"""Wrap SQLAlchemy exceptions in a ``RepositoryError``. When set to ``False``, the original exception will be raised."""
inherit_lazy_relationships: bool = True
"""Optionally ignore the default ``lazy`` configuration for model relationships. This is useful for when you want to
replace instead of merge the model's loaded relationships with the ones specified in the ``load`` or ``default_loader_options`` configuration."""
merge_loader_options: bool = True
"""Merges the default loader options with the loader options specified in the ``load`` argument. This is useful for when you want to totally
replace instead of merge the model's loaded relationships with the ones specified in the ``load`` or ``default_loader_options`` configuration."""
execution_options: Optional[dict[str, Any]] = None
"""Default execution options for the repository."""
match_fields: Optional[Union[list[str], str]] = None
"""List of dialects that prefer to use ``field.id = ANY(:1)`` instead of ``field.id IN (...)``."""
uniquify: bool = False
"""Optionally apply the ``unique()`` method to results before returning.
This is useful for certain SQLAlchemy uses cases such as applying ``contains_eager`` to a query containing a one-to-many relationship
"""
count_with_window_function: bool = True
"""Use an analytical window function to count results. This allows the count to be performed in a single query.
"""
def __init__(
self,
*,
statement: Optional[Select[tuple[ModelT]]] = None,
session: Union[Session, scoped_session[Session]],
auto_expunge: bool = False,
auto_refresh: bool = True,
auto_commit: bool = False,
order_by: Optional[Union[list[OrderingPair], OrderingPair]] = None,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
wrap_exceptions: bool = True,
uniquify: Optional[bool] = None,
count_with_window_function: Optional[bool] = None,
**kwargs: Any,
) -> None:
"""Repository for SQLAlchemy models.
Args:
statement: To facilitate customization of the underlying select query.
session: Session managing the unit-of-work for the operation.
auto_expunge: Remove object from session before returning.
auto_refresh: Refresh object from session before returning.
auto_commit: Commit objects before returning.
order_by: Set default order options for queries.
load: Set default relationships to be loaded
execution_options: Set default execution options
error_messages: A set of custom error messages to use for operations
wrap_exceptions: Wrap SQLAlchemy exceptions in a ``RepositoryError``. When set to ``False``, the original exception will be raised.
uniquify: Optionally apply the ``unique()`` method to results before returning.
count_with_window_function: When false, list and count will use two queries instead of an analytical window function.
**kwargs: Additional arguments.
"""
self.auto_expunge = auto_expunge
self.auto_refresh = auto_refresh
self.auto_commit = auto_commit
self.order_by = order_by
self.session = session
self.error_messages = self._get_error_messages(
error_messages=error_messages, default_messages=self.error_messages
)
self.wrap_exceptions = wrap_exceptions
self.uniquify = self._get_uniquify(uniquify)
self.count_with_window_function = (
count_with_window_function if count_with_window_function is not None else self.count_with_window_function
)
self._default_loader_options, self._loader_options_have_wildcards = get_abstract_loader_options(
loader_options=load if load is not None else self.loader_options,
inherit_lazy_relationships=self.inherit_lazy_relationships,
merge_with_default=self.merge_loader_options,
)
execution_options = execution_options if execution_options is not None else self.execution_options
self._default_execution_options = execution_options or {}
self.statement = select(self.model_type) if statement is None else statement
self._dialect = self.session.bind.dialect if self.session.bind is not None else self.session.get_bind().dialect
self._prefer_any = any(self._dialect.name == engine_type for engine_type in self.prefer_any_dialects or ())
def _get_uniquify(self, uniquify: Optional[bool] = None) -> bool:
return bool(uniquify) if uniquify is not None else self.uniquify
@staticmethod
def _get_error_messages(
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
default_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
) -> Optional[ErrorMessages]:
if error_messages == Empty:
error_messages = None
if default_messages == Empty:
default_messages = None
messages = DEFAULT_ERROR_MESSAGE_TEMPLATES
if default_messages and isinstance(default_messages, dict):
messages.update(default_messages)
if error_messages:
messages.update(cast("ErrorMessages", error_messages))
return messages
@classmethod
def get_id_attribute_value(
cls,
item: Union[ModelT, type[ModelT]],
id_attribute: Optional[Union[str, InstrumentedAttribute[Any]]] = None,
) -> Any:
"""Get value of attribute named as :attr:`id_attribute` on ``item``.
Args:
item: Anything that should have an attribute named as :attr:`id_attribute` value.
id_attribute: Allows customization of the unique identifier to use for model fetching.
Defaults to `None`, but can reference any surrogate or candidate key for the table.
Returns:
The value of attribute on ``item`` named as :attr:`id_attribute`.
"""
if isinstance(id_attribute, InstrumentedAttribute):
id_attribute = id_attribute.key
return getattr(item, id_attribute if id_attribute is not None else cls.id_attribute)
@classmethod
def set_id_attribute_value(
cls,
item_id: Any,
item: ModelT,
id_attribute: Optional[Union[str, InstrumentedAttribute[Any]]] = None,
) -> ModelT:
"""Return the ``item`` after the ID is set to the appropriate attribute.
Args:
item_id: Value of ID to be set on instance
item: Anything that should have an attribute named as :attr:`id_attribute` value.
id_attribute: Allows customization of the unique identifier to use for model fetching.
Defaults to `None`, but can reference any surrogate or candidate key for the table.
Returns:
Item with ``item_id`` set to :attr:`id_attribute`
"""
if isinstance(id_attribute, InstrumentedAttribute):
id_attribute = id_attribute.key
setattr(item, id_attribute if id_attribute is not None else cls.id_attribute, item_id)
return item
@staticmethod
def check_not_found(item_or_none: Optional[ModelT]) -> ModelT:
"""Raise :exc:`advanced_alchemy.exceptions.NotFoundError` if ``item_or_none`` is ``None``.
Args:
item_or_none: Item (:class:`T `) to be tested for existence.
Returns:
The item, if it exists.
"""
if item_or_none is None:
msg = "No item found when one was expected"
raise NotFoundError(msg)
return item_or_none
def _get_execution_options(
self,
execution_options: Optional[dict[str, Any]] = None,
) -> dict[str, Any]:
if execution_options is None:
return self._default_execution_options
return execution_options
def _get_loader_options(
self,
loader_options: Optional[LoadSpec],
) -> Union[tuple[list[_AbstractLoad], bool], tuple[None, bool]]:
if loader_options is None:
# use the defaults set at initialization
return self._default_loader_options, self._loader_options_have_wildcards or self.uniquify
return get_abstract_loader_options(
loader_options=loader_options,
default_loader_options=self._default_loader_options,
default_options_have_wildcards=self._loader_options_have_wildcards or self.uniquify,
inherit_lazy_relationships=self.inherit_lazy_relationships,
merge_with_default=self.merge_loader_options,
)
def add(
self,
data: ModelT,
*,
auto_commit: Optional[bool] = None,
auto_expunge: Optional[bool] = None,
auto_refresh: Optional[bool] = None,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
) -> ModelT:
"""Add ``data`` to the collection.
Args:
data: Instance to be added to the collection.
auto_expunge: Remove object from session before returning.
auto_refresh: Refresh object from session before returning.
auto_commit: Commit objects before returning.
error_messages: An optional dictionary of templates to use
for friendlier error messages to clients
Returns:
The added instance.
"""
error_messages = self._get_error_messages(
error_messages=error_messages,
default_messages=self.error_messages,
)
with wrap_sqlalchemy_exception(error_messages=error_messages, dialect_name=self._dialect.name):
instance = self._attach_to_session(data)
self._flush_or_commit(auto_commit=auto_commit)
self._refresh(instance, auto_refresh=auto_refresh)
self._expunge(instance, auto_expunge=auto_expunge)
return instance
def add_many(
self,
data: list[ModelT],
*,
auto_commit: Optional[bool] = None,
auto_expunge: Optional[bool] = None,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
) -> Sequence[ModelT]:
"""Add many `data` to the collection.
Args:
data: list of Instances to be added to the collection.
auto_expunge: Remove object from session before returning.
auto_commit: Commit objects before returning.
error_messages: An optional dictionary of templates to use
for friendlier error messages to clients
Returns:
The added instances.
"""
error_messages = self._get_error_messages(
error_messages=error_messages,
default_messages=self.error_messages,
)
with wrap_sqlalchemy_exception(error_messages=error_messages, dialect_name=self._dialect.name):
self.session.add_all(data)
self._flush_or_commit(auto_commit=auto_commit)
for datum in data:
self._expunge(datum, auto_expunge=auto_expunge)
return data
def delete(
self,
item_id: Any,
*,
auto_commit: Optional[bool] = None,
auto_expunge: Optional[bool] = None,
id_attribute: Optional[Union[str, InstrumentedAttribute[Any]]] = None,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
) -> ModelT:
"""Delete instance identified by ``item_id``.
Args:
item_id: Identifier of instance to be deleted.
auto_expunge: Remove object from session before returning.
auto_commit: Commit objects before returning.
id_attribute: Allows customization of the unique identifier to use for model fetching.
Defaults to `id`, but can reference any surrogate or candidate key for the table.
error_messages: An optional dictionary of templates to use
for friendlier error messages to clients
load: Set default relationships to be loaded
execution_options: Set default execution options
uniquify: Optionally apply the ``unique()`` method to results before returning.
Returns:
The deleted instance.
Raises:
NotFoundError: If no instance found identified by ``item_id``.
"""
self.uniquify = self._get_uniquify(uniquify)
error_messages = self._get_error_messages(
error_messages=error_messages,
default_messages=self.error_messages,
)
with wrap_sqlalchemy_exception(error_messages=error_messages, dialect_name=self._dialect.name):
execution_options = self._get_execution_options(execution_options)
instance = self.get(
item_id,
id_attribute=id_attribute,
load=load,
execution_options=execution_options,
)
self.session.delete(instance)
self._flush_or_commit(auto_commit=auto_commit)
self._expunge(instance, auto_expunge=auto_expunge)
return instance
def delete_many(
self,
item_ids: list[Any],
*,
auto_commit: Optional[bool] = None,
auto_expunge: Optional[bool] = None,
id_attribute: Optional[Union[str, InstrumentedAttribute[Any]]] = None,
chunk_size: Optional[int] = None,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
) -> Sequence[ModelT]:
"""Delete instance identified by `item_id`.
Args:
item_ids: Identifier of instance to be deleted.
auto_expunge: Remove object from session before returning.
auto_commit: Commit objects before returning.
id_attribute: Allows customization of the unique identifier to use for model fetching.
Defaults to `id`, but can reference any surrogate or candidate key for the table.
chunk_size: Allows customization of the ``insertmanyvalues_max_parameters`` setting for the driver.
Defaults to `950` if left unset.
error_messages: An optional dictionary of templates to use
for friendlier error messages to clients
load: Set default relationships to be loaded
execution_options: Set default execution options
uniquify: Optionally apply the ``unique()`` method to results before returning.
Returns:
The deleted instances.
"""
self.uniquify = self._get_uniquify(uniquify)
error_messages = self._get_error_messages(
error_messages=error_messages,
default_messages=self.error_messages,
)
with wrap_sqlalchemy_exception(error_messages=error_messages, dialect_name=self._dialect.name):
execution_options = self._get_execution_options(execution_options)
loader_options, _loader_options_have_wildcard = self._get_loader_options(load)
id_attribute = get_instrumented_attr(
self.model_type,
id_attribute if id_attribute is not None else self.id_attribute,
)
instances: list[ModelT] = []
if self._prefer_any:
chunk_size = len(item_ids) + 1
chunk_size = self._get_insertmanyvalues_max_parameters(chunk_size)
for idx in range(0, len(item_ids), chunk_size):
chunk = item_ids[idx : min(idx + chunk_size, len(item_ids))]
if self._dialect.delete_executemany_returning:
instances.extend(
self.session.scalars(
self._get_delete_many_statement(
statement_type="delete",
model_type=self.model_type,
id_attribute=id_attribute,
id_chunk=chunk,
supports_returning=self._dialect.delete_executemany_returning,
loader_options=loader_options,
execution_options=execution_options,
),
),
)
else:
instances.extend(
self.session.scalars(
self._get_delete_many_statement(
statement_type="select",
model_type=self.model_type,
id_attribute=id_attribute,
id_chunk=chunk,
supports_returning=self._dialect.delete_executemany_returning,
loader_options=loader_options,
execution_options=execution_options,
),
),
)
self.session.execute(
self._get_delete_many_statement(
statement_type="delete",
model_type=self.model_type,
id_attribute=id_attribute,
id_chunk=chunk,
supports_returning=self._dialect.delete_executemany_returning,
loader_options=loader_options,
execution_options=execution_options,
),
)
self._flush_or_commit(auto_commit=auto_commit)
for instance in instances:
self._expunge(instance, auto_expunge=auto_expunge)
return instances
def _get_insertmanyvalues_max_parameters(self, chunk_size: Optional[int] = None) -> int:
return chunk_size if chunk_size is not None else DEFAULT_INSERTMANYVALUES_MAX_PARAMETERS
def delete_where(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
auto_commit: Optional[bool] = None,
auto_expunge: Optional[bool] = None,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
sanity_check: bool = True,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
**kwargs: Any,
) -> Sequence[ModelT]:
"""Delete instances specified by referenced kwargs and filters.
Args:
*filters: Types for specific filtering operations.
auto_expunge: Remove object from session before returning.
auto_commit: Commit objects before returning.
error_messages: An optional dictionary of templates to use
for friendlier error messages to clients
sanity_check: When true, the length of selected instances is compared to the deleted row count
load: Set default relationships to be loaded
execution_options: Set default execution options
uniquify: Optionally apply the ``unique()`` method to results before returning.
**kwargs: Arguments to apply to a delete
Returns:
The deleted instances.
"""
self.uniquify = self._get_uniquify(uniquify)
error_messages = self._get_error_messages(
error_messages=error_messages,
default_messages=self.error_messages,
)
with wrap_sqlalchemy_exception(error_messages=error_messages, dialect_name=self._dialect.name):
execution_options = self._get_execution_options(execution_options)
loader_options, _loader_options_have_wildcard = self._get_loader_options(load)
model_type = self.model_type
statement = self._get_base_stmt(
statement=delete(model_type),
loader_options=loader_options,
execution_options=execution_options,
)
statement = self._filter_select_by_kwargs(statement=statement, kwargs=kwargs)
statement = self._apply_filters(*filters, statement=statement, apply_pagination=False)
instances: list[ModelT] = []
if self._dialect.delete_executemany_returning:
instances.extend(self.session.scalars(statement.returning(model_type)))
else:
instances.extend(
self.list(
*filters,
load=load,
execution_options=execution_options,
auto_expunge=auto_expunge,
**kwargs,
),
)
result = self.session.execute(statement)
row_count = getattr(result, "rowcount", -2)
if sanity_check and row_count >= 0 and len(instances) != row_count: # pyright: ignore # noqa: PGH003
# backends will return a -1 if they can't determine impacted rowcount
# only compare length of selected instances to results if it's >= 0
self.session.rollback()
raise RepositoryError(detail="Deleted count does not match fetched count. Rollback issued.")
self._flush_or_commit(auto_commit=auto_commit)
for instance in instances:
self._expunge(instance, auto_expunge=auto_expunge)
return instances
def exists(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
**kwargs: Any,
) -> bool:
"""Return true if the object specified by ``kwargs`` exists.
Args:
*filters: Types for specific filtering operations.
error_messages: An optional dictionary of templates to use
for friendlier error messages to clients
load: Set default relationships to be loaded
execution_options: Set default execution options
uniquify: Optionally apply the ``unique()`` method to results before returning.
**kwargs: Identifier of the instance to be retrieved.
Returns:
True if the instance was found. False if not found..
"""
error_messages = self._get_error_messages(
error_messages=error_messages,
default_messages=self.error_messages,
)
existing = self.count(
*filters,
load=load,
execution_options=execution_options,
error_messages=error_messages,
**kwargs,
)
return existing > 0
def _get_base_stmt(
self,
*,
statement: StatementTypeT,
loader_options: Optional[list[_AbstractLoad]],
execution_options: Optional[dict[str, Any]],
) -> StatementTypeT:
"""Get base statement with options applied.
Args:
statement: The select statement to modify
loader_options: Options for loading relationships
execution_options: Options for statement execution
Returns:
Modified select statement
"""
if loader_options:
statement = cast("StatementTypeT", statement.options(*loader_options))
if execution_options:
statement = cast("StatementTypeT", statement.execution_options(**execution_options))
return statement
def _get_delete_many_statement(
self,
*,
model_type: type[ModelT],
id_attribute: InstrumentedAttribute[Any],
id_chunk: list[Any],
supports_returning: bool,
statement_type: Literal["delete", "select"] = "delete",
loader_options: Optional[list[_AbstractLoad]],
execution_options: Optional[dict[str, Any]],
) -> Union[Select[tuple[ModelT]], Delete, ReturningDelete[tuple[ModelT]]]:
# Base statement is static
statement = self._get_base_stmt(
statement=delete(model_type) if statement_type == "delete" else select(model_type),
loader_options=loader_options,
execution_options=execution_options,
)
if execution_options:
statement = statement.execution_options(**execution_options)
if supports_returning and statement_type != "select":
statement = cast("ReturningDelete[tuple[ModelT]]", statement.returning(model_type)) # type: ignore[union-attr,assignment] # pyright: ignore[reportUnknownLambdaType,reportUnknownMemberType,reportAttributeAccessIssue,reportUnknownVariableType]
if self._prefer_any:
return statement.where(any_(id_chunk) == id_attribute) # type: ignore[arg-type]
return statement.where(id_attribute.in_(id_chunk)) # pyright: ignore[reportUnknownMemberType,reportUnknownVariableType]
def get(
self,
item_id: Any,
*,
auto_expunge: Optional[bool] = None,
statement: Optional[Select[tuple[ModelT]]] = None,
id_attribute: Optional[Union[str, InstrumentedAttribute[Any]]] = None,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
) -> ModelT:
"""Get instance identified by `item_id`.
Args:
item_id: Identifier of the instance to be retrieved.
auto_expunge: Remove object from session before returning.
statement: To facilitate customization of the underlying select query.
id_attribute: Allows customization of the unique identifier to use for model fetching.
Defaults to `id`, but can reference any surrogate or candidate key for the table.
error_messages: An optional dictionary of templates to use
for friendlier error messages to clients
load: Set relationships to be loaded
execution_options: Set default execution options
uniquify: Optionally apply the ``unique()`` method to results before returning.
Returns:
The retrieved instance.
Raises:
NotFoundError: If no instance found identified by `item_id`.
"""
self.uniquify = self._get_uniquify(uniquify)
error_messages = self._get_error_messages(
error_messages=error_messages,
default_messages=self.error_messages,
)
with wrap_sqlalchemy_exception(error_messages=error_messages, dialect_name=self._dialect.name):
execution_options = self._get_execution_options(execution_options)
statement = self.statement if statement is None else statement
loader_options, loader_options_have_wildcard = self._get_loader_options(load)
id_attribute = id_attribute if id_attribute is not None else self.id_attribute
statement = self._get_base_stmt(
statement=statement,
loader_options=loader_options,
execution_options=execution_options,
)
statement = self._filter_select_by_kwargs(statement, [(id_attribute, item_id)])
instance = (self._execute(statement, uniquify=loader_options_have_wildcard)).scalar_one_or_none()
instance = self.check_not_found(instance)
self._expunge(instance, auto_expunge=auto_expunge)
return instance
def get_one(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
auto_expunge: Optional[bool] = None,
statement: Optional[Select[tuple[ModelT]]] = None,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
**kwargs: Any,
) -> ModelT:
"""Get instance identified by ``kwargs``.
Args:
*filters: Types for specific filtering operations.
auto_expunge: Remove object from session before returning.
statement: To facilitate customization of the underlying select query.
error_messages: An optional dictionary of templates to use
for friendlier error messages to clients
load: Set relationships to be loaded
execution_options: Set default execution options
uniquify: Optionally apply the ``unique()`` method to results before returning.
**kwargs: Identifier of the instance to be retrieved.
Returns:
The retrieved instance.
Raises:
NotFoundError: If no instance found identified by `item_id`.
"""
self.uniquify = self._get_uniquify(uniquify)
error_messages = self._get_error_messages(
error_messages=error_messages,
default_messages=self.error_messages,
)
with wrap_sqlalchemy_exception(error_messages=error_messages, dialect_name=self._dialect.name):
execution_options = self._get_execution_options(execution_options)
statement = self.statement if statement is None else statement
loader_options, loader_options_have_wildcard = self._get_loader_options(load)
statement = self._get_base_stmt(
statement=statement,
loader_options=loader_options,
execution_options=execution_options,
)
statement = self._apply_filters(*filters, apply_pagination=False, statement=statement)
statement = self._filter_select_by_kwargs(statement, kwargs)
instance = (self._execute(statement, uniquify=loader_options_have_wildcard)).scalar_one_or_none()
instance = self.check_not_found(instance)
self._expunge(instance, auto_expunge=auto_expunge)
return instance
def get_one_or_none(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
auto_expunge: Optional[bool] = None,
statement: Optional[Select[tuple[ModelT]]] = None,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
**kwargs: Any,
) -> Union[ModelT, None]:
"""Get instance identified by ``kwargs`` or None if not found.
Args:
*filters: Types for specific filtering operations.
auto_expunge: Remove object from session before returning.
statement: To facilitate customization of the underlying select query.
error_messages: An optional dictionary of templates to use
for friendlier error messages to clients
load: Set relationships to be loaded
execution_options: Set default execution options
uniquify: Optionally apply the ``unique()`` method to results before returning.
**kwargs: Identifier of the instance to be retrieved.
Returns:
The retrieved instance or None
"""
self.uniquify = self._get_uniquify(uniquify)
error_messages = self._get_error_messages(
error_messages=error_messages,
default_messages=self.error_messages,
)
with wrap_sqlalchemy_exception(error_messages=error_messages, dialect_name=self._dialect.name):
execution_options = self._get_execution_options(execution_options)
statement = self.statement if statement is None else statement
loader_options, loader_options_have_wildcard = self._get_loader_options(load)
statement = self._get_base_stmt(
statement=statement,
loader_options=loader_options,
execution_options=execution_options,
)
statement = self._apply_filters(*filters, apply_pagination=False, statement=statement)
statement = self._filter_select_by_kwargs(statement, kwargs)
instance = cast(
"Result[tuple[ModelT]]",
(self._execute(statement, uniquify=loader_options_have_wildcard)),
).scalar_one_or_none()
if instance:
self._expunge(instance, auto_expunge=auto_expunge)
return instance
def get_or_upsert(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
match_fields: Optional[Union[list[str], str]] = None,
upsert: bool = True,
attribute_names: Optional[Iterable[str]] = None,
with_for_update: Optional[bool] = None,
auto_commit: Optional[bool] = None,
auto_expunge: Optional[bool] = None,
auto_refresh: Union[bool, None] = None,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
**kwargs: Any,
) -> tuple[ModelT, bool]:
"""Get instance identified by ``kwargs`` or create if it doesn't exist.
Args:
*filters: Types for specific filtering operations.
match_fields: a list of keys to use to match the existing model. When
empty, all fields are matched.
upsert: When using match_fields and actual model values differ from
`kwargs`, automatically perform an update operation on the model.
attribute_names: an iterable of attribute names to pass into the ``update``
method.
with_for_update: indicating FOR UPDATE should be used, or may be a
dictionary containing flags to indicate a more specific set of
FOR UPDATE flags for the SELECT
auto_expunge: Remove object from session before returning.
auto_refresh: Refresh object from session before returning.
auto_commit: Commit objects before returning.
error_messages: An optional dictionary of templates to use
for friendlier error messages to clients
load: Set relationships to be loaded
execution_options: Set default execution options
uniquify: Optionally apply the ``unique()`` method to results before returning.
**kwargs: Identifier of the instance to be retrieved.
Returns:
a tuple that includes the instance and whether it needed to be created.
When using match_fields and actual model values differ from ``kwargs``, the
model value will be updated.
"""
self.uniquify = self._get_uniquify(uniquify)
error_messages = self._get_error_messages(
error_messages=error_messages,
default_messages=self.error_messages,
)
with wrap_sqlalchemy_exception(error_messages=error_messages, dialect_name=self._dialect.name):
if match_fields := self._get_match_fields(match_fields=match_fields):
match_filter = {
field_name: kwargs.get(field_name)
for field_name in match_fields
if kwargs.get(field_name) is not None
}
else:
match_filter = kwargs
existing = self.get_one_or_none(
*filters,
**match_filter,
load=load,
execution_options=execution_options,
)
if not existing:
return (
self.add(
self.model_type(**kwargs),
auto_commit=auto_commit,
auto_expunge=auto_expunge,
auto_refresh=auto_refresh,
),
True,
)
if upsert:
for field_name, new_field_value in kwargs.items():
field = getattr(existing, field_name, MISSING)
if field is not MISSING and field != new_field_value:
setattr(existing, field_name, new_field_value)
existing = self._attach_to_session(existing, strategy="merge")
self._flush_or_commit(auto_commit=auto_commit)
self._refresh(
existing,
attribute_names=attribute_names,
with_for_update=with_for_update,
auto_refresh=auto_refresh,
)
self._expunge(existing, auto_expunge=auto_expunge)
return existing, False
def get_and_update(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
match_fields: Optional[Union[list[str], str]] = None,
attribute_names: Optional[Iterable[str]] = None,
with_for_update: Optional[bool] = None,
auto_commit: Optional[bool] = None,
auto_expunge: Optional[bool] = None,
auto_refresh: Optional[bool] = None,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
**kwargs: Any,
) -> tuple[ModelT, bool]:
"""Get instance identified by ``kwargs`` and update the model if the arguments are different.
Args:
*filters: Types for specific filtering operations.
match_fields: a list of keys to use to match the existing model. When
empty, all fields are matched.
attribute_names: an iterable of attribute names to pass into the ``update``
method.
with_for_update: indicating FOR UPDATE should be used, or may be a
dictionary containing flags to indicate a more specific set of
FOR UPDATE flags for the SELECT
auto_expunge: Remove object from session before returning.
auto_refresh: Refresh object from session before returning.
auto_commit: Commit objects before returning.
error_messages: An optional dictionary of templates to use
for friendlier error messages to clients
load: Set relationships to be loaded
execution_options: Set default execution options
uniquify: Optionally apply the ``unique()`` method to results before returning.
**kwargs: Identifier of the instance to be retrieved.
Returns:
a tuple that includes the instance and whether it needed to be updated.
When using match_fields and actual model values differ from ``kwargs``, the
model value will be updated.
Raises:
NotFoundError: If no instance found identified by `item_id`.
"""
self.uniquify = self._get_uniquify(uniquify)
error_messages = self._get_error_messages(
error_messages=error_messages,
default_messages=self.error_messages,
)
with wrap_sqlalchemy_exception(error_messages=error_messages, dialect_name=self._dialect.name):
if match_fields := self._get_match_fields(match_fields=match_fields):
match_filter = {
field_name: kwargs.get(field_name)
for field_name in match_fields
if kwargs.get(field_name) is not None
}
else:
match_filter = kwargs
existing = self.get_one(*filters, **match_filter, load=load, execution_options=execution_options)
updated = False
for field_name, new_field_value in kwargs.items():
field = getattr(existing, field_name, MISSING)
if field is not MISSING and field != new_field_value:
updated = True
setattr(existing, field_name, new_field_value)
existing = self._attach_to_session(existing, strategy="merge")
self._flush_or_commit(auto_commit=auto_commit)
self._refresh(
existing,
attribute_names=attribute_names,
with_for_update=with_for_update,
auto_refresh=auto_refresh,
)
self._expunge(existing, auto_expunge=auto_expunge)
return existing, updated
def count(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
statement: Optional[Select[tuple[ModelT]]] = None,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
**kwargs: Any,
) -> int:
"""Get the count of records returned by a query.
Args:
*filters: Types for specific filtering operations.
statement: To facilitate customization of the underlying select query.
error_messages: An optional dictionary of templates to use
for friendlier error messages to clients
load: Set relationships to be loaded
execution_options: Set default execution options
uniquify: Optionally apply the ``unique()`` method to results before returning.
**kwargs: Instance attribute value filters.
Returns:
Count of records returned by query, ignoring pagination.
"""
self.uniquify = self._get_uniquify(uniquify)
error_messages = self._get_error_messages(
error_messages=error_messages,
default_messages=self.error_messages,
)
with wrap_sqlalchemy_exception(error_messages=error_messages, dialect_name=self._dialect.name):
execution_options = self._get_execution_options(execution_options)
statement = self.statement if statement is None else statement
loader_options, loader_options_have_wildcard = self._get_loader_options(load)
statement = self._get_base_stmt(
statement=statement,
loader_options=loader_options,
execution_options=execution_options,
)
statement = self._apply_filters(*filters, apply_pagination=False, statement=statement)
statement = self._filter_select_by_kwargs(statement, kwargs)
results = self._execute(
statement=self._get_count_stmt(
statement=statement, loader_options=loader_options, execution_options=execution_options
),
uniquify=loader_options_have_wildcard,
)
return cast(int, results.scalar_one())
def update(
self,
data: ModelT,
*,
attribute_names: Optional[Iterable[str]] = None,
with_for_update: Optional[bool] = None,
auto_commit: Optional[bool] = None,
auto_expunge: Optional[bool] = None,
auto_refresh: Optional[bool] = None,
id_attribute: Optional[Union[str, InstrumentedAttribute[Any]]] = None,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
) -> ModelT:
"""Update instance with the attribute values present on `data`.
Args:
data: An instance that should have a value for `self.id_attribute` that
exists in the collection.
attribute_names: an iterable of attribute names to pass into the ``update``
method.
with_for_update: indicating FOR UPDATE should be used, or may be a
dictionary containing flags to indicate a more specific set of
FOR UPDATE flags for the SELECT
auto_expunge: Remove object from session before returning.
auto_refresh: Refresh object from session before returning.
auto_commit: Commit objects before returning.
id_attribute: Allows customization of the unique identifier to use for model fetching.
Defaults to `id`, but can reference any surrogate or candidate key for the table.
error_messages: An optional dictionary of templates to use
for friendlier error messages to clients
load: Set relationships to be loaded
execution_options: Set default execution options
uniquify: Optionally apply the ``unique()`` method to results before returning.
Returns:
The updated instance.
Raises:
NotFoundError: If no instance found with same identifier as `data`.
"""
self.uniquify = self._get_uniquify(uniquify)
error_messages = self._get_error_messages(
error_messages=error_messages,
default_messages=self.error_messages,
)
with wrap_sqlalchemy_exception(error_messages=error_messages, dialect_name=self._dialect.name):
item_id = self.get_id_attribute_value(
data,
id_attribute=id_attribute,
)
# this will raise for not found, and will put the item in the session
self.get(item_id, id_attribute=id_attribute, load=load, execution_options=execution_options)
# this will merge the inbound data to the instance we just put in the session
instance = self._attach_to_session(data, strategy="merge")
self._flush_or_commit(auto_commit=auto_commit)
self._refresh(
instance,
attribute_names=attribute_names,
with_for_update=with_for_update,
auto_refresh=auto_refresh,
)
self._expunge(instance, auto_expunge=auto_expunge)
return instance
def update_many(
self,
data: list[ModelT],
*,
auto_commit: Optional[bool] = None,
auto_expunge: Optional[bool] = None,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
) -> list[ModelT]:
"""Update one or more instances with the attribute values present on `data`.
This function has an optimized bulk update based on the configured SQL dialect:
- For backends supporting `RETURNING` with `executemany`, a single bulk update with returning clause is executed.
- For other backends, it does a bulk update and then returns the updated data after a refresh.
Args:
data: A list of instances to update. Each should have a value for `self.id_attribute` that exists in the
collection.
auto_expunge: Remove object from session before returning.
auto_commit: Commit objects before returning.
error_messages: An optional dictionary of templates to use
for friendlier error messages to clients
load: Set default relationships to be loaded
execution_options: Set default execution options
uniquify: Optionally apply the ``unique()`` method to results before returning.
Returns:
The updated instances.
Raises:
NotFoundError: If no instance found with same identifier as `data`.
"""
self.uniquify = self._get_uniquify(uniquify)
error_messages = self._get_error_messages(
error_messages=error_messages,
default_messages=self.error_messages,
)
data_to_update: list[dict[str, Any]] = [v.to_dict() if isinstance(v, self.model_type) else v for v in data] # type: ignore[misc]
with wrap_sqlalchemy_exception(error_messages=error_messages, dialect_name=self._dialect.name):
execution_options = self._get_execution_options(execution_options)
loader_options = self._get_loader_options(load)[0]
supports_returning = self._dialect.update_executemany_returning and self._dialect.name != "oracle"
statement = self._get_update_many_statement(
self.model_type,
supports_returning,
loader_options=loader_options,
execution_options=execution_options,
)
if supports_returning:
instances = list(
self.session.scalars(
statement,
cast("_CoreSingleExecuteParams", data_to_update), # this is not correct but the only way
# currently to deal with an SQLAlchemy typing issue. See
# https://github.com/sqlalchemy/sqlalchemy/discussions/9925
execution_options=execution_options,
),
)
self._flush_or_commit(auto_commit=auto_commit)
for instance in instances:
self._expunge(instance, auto_expunge=auto_expunge)
return instances
self.session.execute(statement, data_to_update, execution_options=execution_options)
self._flush_or_commit(auto_commit=auto_commit)
return data
def _get_update_many_statement(
self,
model_type: type[ModelT],
supports_returning: bool,
loader_options: Union[list[_AbstractLoad], None],
execution_options: Union[dict[str, Any], None],
) -> Union[Update, ReturningUpdate[tuple[ModelT]]]:
# Base update statement is static
statement = self._get_base_stmt(
statement=update(table=model_type), loader_options=loader_options, execution_options=execution_options
)
if supports_returning:
return statement.returning(model_type)
return statement
def list_and_count(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
statement: Optional[Select[tuple[ModelT]]] = None,
auto_expunge: Optional[bool] = None,
count_with_window_function: Optional[bool] = None,
order_by: Optional[Union[list[OrderingPair], OrderingPair]] = None,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
**kwargs: Any,
) -> tuple[list[ModelT], int]:
"""List records with total count.
Args:
*filters: Types for specific filtering operations.
statement: To facilitate customization of the underlying select query.
auto_expunge: Remove object from session before returning.
count_with_window_function: When false, list and count will use two queries instead of an analytical window function.
order_by: Set default order options for queries.
error_messages: An optional dictionary of templates to use
for friendlier error messages to clients
load: Set relationships to be loaded
execution_options: Set default execution options
uniquify: Optionally apply the ``unique()`` method to results before returning.
**kwargs: Instance attribute value filters.
Returns:
Count of records returned by query, ignoring pagination.
"""
self.count_with_window_function = (
count_with_window_function if count_with_window_function is not None else self.count_with_window_function
)
self.uniquify = self._get_uniquify(uniquify)
error_messages = self._get_error_messages(
error_messages=error_messages,
default_messages=self.error_messages,
)
if self._dialect.name in {"spanner", "spanner+spanner"} or count_with_window_function:
return self._list_and_count_basic(
*filters,
auto_expunge=auto_expunge,
statement=statement,
load=load,
execution_options=execution_options,
order_by=order_by,
error_messages=error_messages,
**kwargs,
)
return self._list_and_count_window(
*filters,
auto_expunge=auto_expunge,
statement=statement,
load=load,
execution_options=execution_options,
error_messages=error_messages,
order_by=order_by,
**kwargs,
)
def _expunge(self, instance: ModelT, auto_expunge: Optional[bool]) -> None:
if auto_expunge is None:
auto_expunge = self.auto_expunge
return self.session.expunge(instance) if auto_expunge else None
def _flush_or_commit(self, auto_commit: Optional[bool]) -> None:
if auto_commit is None:
auto_commit = self.auto_commit
return self.session.commit() if auto_commit else self.session.flush()
def _refresh(
self,
instance: ModelT,
auto_refresh: Optional[bool],
attribute_names: Optional[Iterable[str]] = None,
with_for_update: Optional[bool] = None,
) -> None:
if auto_refresh is None:
auto_refresh = self.auto_refresh
return (
self.session.refresh(
instance=instance,
attribute_names=attribute_names,
with_for_update=with_for_update,
)
if auto_refresh
else None
)
def _list_and_count_window(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
auto_expunge: Optional[bool] = None,
statement: Optional[Select[tuple[ModelT]]] = None,
order_by: Optional[Union[list[OrderingPair], OrderingPair]] = None,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
**kwargs: Any,
) -> tuple[list[ModelT], int]:
"""List records with total count.
Args:
*filters: Types for specific filtering operations.
auto_expunge: Remove object from session before returning.
statement: To facilitate customization of the underlying select query.
order_by: List[OrderingPair] | OrderingPair | None = None,
error_messages: An optional dictionary of templates to use
for friendlier error messages to clients
load: Set relationships to be loaded
execution_options: Set default execution options
**kwargs: Instance attribute value filters.
Returns:
Count of records returned by query using an analytical window function, ignoring pagination.
"""
error_messages = self._get_error_messages(
error_messages=error_messages,
default_messages=self.error_messages,
)
with wrap_sqlalchemy_exception(error_messages=error_messages, dialect_name=self._dialect.name):
execution_options = self._get_execution_options(execution_options)
statement = self.statement if statement is None else statement
loader_options, loader_options_have_wildcard = self._get_loader_options(load)
statement = self._get_base_stmt(
statement=statement,
loader_options=loader_options,
execution_options=execution_options,
)
if order_by is None:
order_by = self.order_by or []
statement = self._apply_order_by(statement=statement, order_by=order_by)
statement = self._apply_filters(*filters, statement=statement)
statement = self._filter_select_by_kwargs(statement, kwargs)
result = self._execute(statement.add_columns(over(sql_func.count())), uniquify=loader_options_have_wildcard)
count: int = 0
instances: list[ModelT] = []
for i, (instance, count_value) in enumerate(result):
self._expunge(instance, auto_expunge=auto_expunge)
instances.append(instance)
if i == 0:
count = count_value
return instances, count
def _list_and_count_basic(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
auto_expunge: Optional[bool] = None,
statement: Optional[Select[tuple[ModelT]]] = None,
order_by: Optional[Union[list[OrderingPair], OrderingPair]] = None,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
**kwargs: Any,
) -> tuple[list[ModelT], int]:
"""List records with total count.
Args:
*filters: Types for specific filtering operations.
auto_expunge: Remove object from session before returning.
statement: To facilitate customization of the underlying select query.
order_by: Set default order options for queries.
error_messages: An optional dictionary of templates to use
for friendlier error messages to clients
load: Set relationships to be loaded
execution_options: Set default execution options
**kwargs: Instance attribute value filters.
Returns:
Count of records returned by query using 2 queries, ignoring pagination.
"""
error_messages = self._get_error_messages(
error_messages=error_messages,
default_messages=self.error_messages,
)
with wrap_sqlalchemy_exception(error_messages=error_messages, dialect_name=self._dialect.name):
execution_options = self._get_execution_options(execution_options)
statement = self.statement if statement is None else statement
loader_options, loader_options_have_wildcard = self._get_loader_options(load)
statement = self._get_base_stmt(
statement=statement,
loader_options=loader_options,
execution_options=execution_options,
)
if order_by is None:
order_by = self.order_by or []
statement = self._apply_order_by(statement=statement, order_by=order_by)
statement = self._apply_filters(*filters, statement=statement)
statement = self._filter_select_by_kwargs(statement, kwargs)
count_result = self.session.execute(
self._get_count_stmt(
statement,
loader_options=loader_options,
execution_options=execution_options,
),
)
count = count_result.scalar_one()
result = self._execute(statement, uniquify=loader_options_have_wildcard)
instances: list[ModelT] = []
for (instance,) in result:
self._expunge(instance, auto_expunge=auto_expunge)
instances.append(instance)
return instances, count
def _get_count_stmt(
self,
statement: Select[tuple[ModelT]],
loader_options: Optional[list[_AbstractLoad]],
execution_options: Optional[dict[str, Any]],
) -> Select[tuple[int]]:
# Count statement transformations are static
return (
statement.with_only_columns(sql_func.count(text("1")), maintain_column_froms=True)
.limit(None)
.offset(None)
.order_by(None)
)
def upsert(
self,
data: ModelT,
*,
attribute_names: Optional[Iterable[str]] = None,
with_for_update: Optional[bool] = None,
auto_expunge: Optional[bool] = None,
auto_commit: Optional[bool] = None,
auto_refresh: Optional[bool] = None,
match_fields: Optional[Union[list[str], str]] = None,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
) -> ModelT:
"""Modify or create instance.
Updates instance with the attribute values present on `data`, or creates a new instance if
one doesn't exist.
Args:
data: Instance to update existing, or be created. Identifier used to determine if an
existing instance exists is the value of an attribute on `data` named as value of
`self.id_attribute`.
attribute_names: an iterable of attribute names to pass into the ``update`` method.
with_for_update: indicating FOR UPDATE should be used, or may be a
dictionary containing flags to indicate a more specific set of
FOR UPDATE flags for the SELECT
auto_expunge: Remove object from session before returning.
auto_refresh: Refresh object from session before returning.
auto_commit: Commit objects before returning.
match_fields: a list of keys to use to match the existing model. When
empty, all fields are matched.
error_messages: An optional dictionary of templates to use
for friendlier error messages to clients
load: Set relationships to be loaded
execution_options: Set default execution options
uniquify: Optionally apply the ``unique()`` method to results before returning.
Returns:
The updated or created instance.
Raises:
NotFoundError: If no instance found with same identifier as `data`.
"""
self.uniquify = self._get_uniquify(uniquify)
error_messages = self._get_error_messages(
error_messages=error_messages,
default_messages=self.error_messages,
)
if match_fields := self._get_match_fields(match_fields=match_fields):
match_filter = {
field_name: getattr(data, field_name, None)
for field_name in match_fields
if getattr(data, field_name, None) is not None
}
elif getattr(data, self.id_attribute, None) is not None:
match_filter = {self.id_attribute: getattr(data, self.id_attribute, None)}
else:
match_filter = data.to_dict(exclude={self.id_attribute})
existing = self.get_one_or_none(load=load, execution_options=execution_options, **match_filter)
if not existing:
return self.add(
data,
auto_commit=auto_commit,
auto_expunge=auto_expunge,
auto_refresh=auto_refresh,
)
with wrap_sqlalchemy_exception(error_messages=error_messages, dialect_name=self._dialect.name):
for field_name, new_field_value in data.to_dict(exclude={self.id_attribute}).items():
field = getattr(existing, field_name, MISSING)
if field is not MISSING and field != new_field_value:
setattr(existing, field_name, new_field_value)
instance = self._attach_to_session(existing, strategy="merge")
self._flush_or_commit(auto_commit=auto_commit)
self._refresh(
instance,
attribute_names=attribute_names,
with_for_update=with_for_update,
auto_refresh=auto_refresh,
)
self._expunge(instance, auto_expunge=auto_expunge)
return instance
def upsert_many(
self,
data: list[ModelT],
*,
auto_expunge: Optional[bool] = None,
auto_commit: Optional[bool] = None,
no_merge: bool = False,
match_fields: Optional[Union[list[str], str]] = None,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
) -> list[ModelT]:
"""Modify or create multiple instances.
Update instances with the attribute values present on `data`, or create a new instance if
one doesn't exist.
!!! tip
In most cases, you will want to set `match_fields` to the combination of attributes, excluded the primary key, that define uniqueness for a row.
Args:
data: Instance to update existing, or be created. Identifier used to determine if an
existing instance exists is the value of an attribute on ``data`` named as value of
:attr:`id_attribute`.
auto_expunge: Remove object from session before returning.
auto_commit: Commit objects before returning.
no_merge: Skip the usage of optimized Merge statements
match_fields: a list of keys to use to match the existing model. When
empty, automatically uses ``self.id_attribute`` (`id` by default) to match .
error_messages: An optional dictionary of templates to use
for friendlier error messages to clients
load: Set default relationships to be loaded
execution_options: Set default execution options
uniquify: Optionally apply the ``unique()`` method to results before returning.
Returns:
The updated or created instance.
Raises:
NotFoundError: If no instance found with same identifier as ``data``.
"""
self.uniquify = self._get_uniquify(uniquify)
error_messages = self._get_error_messages(
error_messages=error_messages,
default_messages=self.error_messages,
)
instances: list[ModelT] = []
data_to_update: list[ModelT] = []
data_to_insert: list[ModelT] = []
match_fields = self._get_match_fields(match_fields=match_fields)
if match_fields is None:
match_fields = [self.id_attribute]
match_filter: list[Union[StatementFilter, ColumnElement[bool]]] = []
if match_fields:
for field_name in match_fields:
field = get_instrumented_attr(self.model_type, field_name)
matched_values = [
field_data for datum in data if (field_data := getattr(datum, field_name)) is not None
]
match_filter.append(any_(matched_values) == field if self._prefer_any else field.in_(matched_values)) # type: ignore[arg-type]
with wrap_sqlalchemy_exception(error_messages=error_messages, dialect_name=self._dialect.name):
existing_objs = self.list(
*match_filter,
load=load,
execution_options=execution_options,
auto_expunge=False,
)
for field_name in match_fields:
field = get_instrumented_attr(self.model_type, field_name)
matched_values = list(
{getattr(datum, field_name) for datum in existing_objs if datum}, # ensure the list is unique
)
match_filter.append(any_(matched_values) == field if self._prefer_any else field.in_(matched_values)) # type: ignore[arg-type]
existing_ids = self._get_object_ids(existing_objs=existing_objs)
data = self._merge_on_match_fields(data, existing_objs, match_fields)
for datum in data:
if getattr(datum, self.id_attribute, None) in existing_ids:
data_to_update.append(datum)
else:
data_to_insert.append(datum)
if data_to_insert:
instances.extend(
self.add_many(data_to_insert, auto_commit=False, auto_expunge=False),
)
if data_to_update:
instances.extend(
self.update_many(
data_to_update,
auto_commit=False,
auto_expunge=False,
load=load,
execution_options=execution_options,
),
)
self._flush_or_commit(auto_commit=auto_commit)
for instance in instances:
self._expunge(instance, auto_expunge=auto_expunge)
return instances
def _get_object_ids(self, existing_objs: list[ModelT]) -> list[Any]:
return [obj_id for datum in existing_objs if (obj_id := getattr(datum, self.id_attribute)) is not None]
def _get_match_fields(
self,
match_fields: Optional[Union[list[str], str]] = None,
id_attribute: Optional[str] = None,
) -> Optional[list[str]]:
id_attribute = id_attribute or self.id_attribute
match_fields = match_fields or self.match_fields
if isinstance(match_fields, str):
match_fields = [match_fields]
return match_fields
def _merge_on_match_fields(
self,
data: list[ModelT],
existing_data: list[ModelT],
match_fields: Optional[Union[list[str], str]] = None,
) -> list[ModelT]:
match_fields = self._get_match_fields(match_fields=match_fields)
if match_fields is None:
match_fields = [self.id_attribute]
for existing_datum in existing_data:
for _row_id, datum in enumerate(data):
match = all(
getattr(datum, field_name) == getattr(existing_datum, field_name) for field_name in match_fields
)
if match and getattr(existing_datum, self.id_attribute) is not None:
setattr(datum, self.id_attribute, getattr(existing_datum, self.id_attribute))
return data
def list(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
auto_expunge: Optional[bool] = None,
statement: Optional[Select[tuple[ModelT]]] = None,
order_by: Optional[Union[list[OrderingPair], OrderingPair]] = None,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
**kwargs: Any,
) -> list[ModelT]:
"""Get a list of instances, optionally filtered.
Args:
*filters: Types for specific filtering operations.
auto_expunge: Remove object from session before returning.
statement: To facilitate customization of the underlying select query.
order_by: Set default order options for queries.
error_messages: An optional dictionary of templates to use
for friendlier error messages to clients
load: Set relationships to be loaded
execution_options: Set default execution options
uniquify: Optionally apply the ``unique()`` method to results before returning.
**kwargs: Instance attribute value filters.
Returns:
The list of instances, after filtering applied.
"""
self.uniquify = self._get_uniquify(uniquify)
error_messages = self._get_error_messages(
error_messages=error_messages,
default_messages=self.error_messages,
)
with wrap_sqlalchemy_exception(error_messages=error_messages, dialect_name=self._dialect.name):
execution_options = self._get_execution_options(execution_options)
statement = self.statement if statement is None else statement
loader_options, loader_options_have_wildcard = self._get_loader_options(load)
statement = self._get_base_stmt(
statement=statement,
loader_options=loader_options,
execution_options=execution_options,
)
if order_by is None:
order_by = self.order_by or []
statement = self._apply_order_by(statement=statement, order_by=order_by)
statement = self._apply_filters(*filters, statement=statement)
statement = self._filter_select_by_kwargs(statement, kwargs)
result = self._execute(statement, uniquify=loader_options_have_wildcard)
instances = list(result.scalars())
for instance in instances:
self._expunge(instance, auto_expunge=auto_expunge)
return cast("list[ModelT]", instances)
@classmethod
def check_health(cls, session: Union[Session, scoped_session[Session]]) -> bool:
"""Perform a health check on the database.
Args:
session: through which we run a check statement
Returns:
``True`` if healthy.
"""
with wrap_sqlalchemy_exception():
return ( # type: ignore[no-any-return]
session.execute(cls._get_health_check_statement(session))
).scalar_one() == 1
@staticmethod
def _get_health_check_statement(session: Union[Session, scoped_session[Session]]) -> TextClause:
if session.bind and session.bind.dialect.name == "oracle":
return text("SELECT 1 FROM DUAL")
return text("SELECT 1")
def _attach_to_session(self, model: ModelT, strategy: Literal["add", "merge"] = "add", load: bool = True) -> ModelT:
"""Attach detached instance to the session.
Args:
model: The instance to be attached to the session.
strategy: How the instance should be attached.
- "add": New instance added to session
- "merge": Instance merged with existing, or new one added.
load: Boolean, when False, merge switches into
a "high performance" mode which causes it to forego emitting history
events as well as all database access. This flag is used for
cases such as transferring graphs of objects into a session
from a second level cache, or to transfer just-loaded objects
into the session owned by a worker thread or process
without re-querying the database.
Returns:
Instance attached to the session - if `"merge"` strategy, may not be same instance
that was provided.
"""
if strategy == "add":
self.session.add(model)
return model
if strategy == "merge":
return self.session.merge(model, load=load)
msg = "Unexpected value for `strategy`, must be `'add'` or `'merge'`" # type: ignore[unreachable]
raise ValueError(msg)
def _execute(
self,
statement: Select[Any],
uniquify: bool = False,
) -> Result[Any]:
result = self.session.execute(statement)
if uniquify or self.uniquify:
result = result.unique()
return result
class SQLAlchemySyncSlugRepository(
SQLAlchemySyncRepository[ModelT],
SQLAlchemySyncSlugRepositoryProtocol[ModelT],
):
"""Extends the repository to include slug model features.."""
def get_by_slug(
self,
slug: str,
error_messages: Optional[Union[ErrorMessages, EmptyType]] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
**kwargs: Any,
) -> Optional[ModelT]:
"""Select record by slug value."""
return self.get_one_or_none(
slug=slug,
load=load,
execution_options=execution_options,
error_messages=error_messages,
uniquify=uniquify,
)
def get_available_slug(
self,
value_to_slugify: str,
**kwargs: Any,
) -> str:
"""Get a unique slug for the supplied value.
If the value is found to exist, a random 4 digit character is appended to the end.
Override this method to change the default behavior
Args:
value_to_slugify (str): A string that should be converted to a unique slug.
**kwargs: stuff
Returns:
str: a unique slug for the supplied value. This is safe for URLs and other unique identifiers.
"""
slug = slugify(value_to_slugify)
if self._is_slug_unique(slug):
return slug
random_string = "".join(random.choices(string.ascii_lowercase + string.digits, k=4)) # noqa: S311
return f"{slug}-{random_string}"
def _is_slug_unique(
self,
slug: str,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
**kwargs: Any,
) -> bool:
return self.exists(slug=slug, load=load, execution_options=execution_options, **kwargs) is False
class SQLAlchemySyncQueryRepository:
"""SQLAlchemy Query Repository.
This is a loosely typed helper to query for when you need to select data in ways that don't align to the normal repository pattern.
"""
error_messages: Optional[ErrorMessages] = None
def __init__(
self,
*,
session: Union[Session, scoped_session[Session]],
error_messages: Optional[ErrorMessages] = None,
**kwargs: Any,
) -> None:
"""Repository pattern for SQLAlchemy models.
Args:
session: Session managing the unit-of-work for the operation.
error_messages: A set of error messages to use for operations.
**kwargs: Additional arguments.
"""
super().__init__(**kwargs)
self.session = session
self.error_messages = error_messages
self._dialect = self.session.bind.dialect if self.session.bind is not None else self.session.get_bind().dialect
def get_one(
self,
statement: Select[tuple[Any]],
**kwargs: Any,
) -> Row[Any]:
"""Get instance identified by ``kwargs``.
Args:
statement: To facilitate customization of the underlying select query.
**kwargs: Instance attribute value filters.
Returns:
The retrieved instance.
Raises:
NotFoundError: If no instance found identified by `item_id`.
"""
with wrap_sqlalchemy_exception(error_messages=self.error_messages):
statement = self._filter_statement_by_kwargs(statement, **kwargs)
instance = (self.execute(statement)).scalar_one_or_none()
return self.check_not_found(instance)
def get_one_or_none(
self,
statement: Select[Any],
**kwargs: Any,
) -> Optional[Row[Any]]:
"""Get instance identified by ``kwargs`` or None if not found.
Args:
statement: To facilitate customization of the underlying select query.
**kwargs: Instance attribute value filters.
Returns:
The retrieved instance or None
"""
with wrap_sqlalchemy_exception(error_messages=self.error_messages):
statement = self._filter_statement_by_kwargs(statement, **kwargs)
instance = (self.execute(statement)).scalar_one_or_none()
return instance or None
def count(self, statement: Select[Any], **kwargs: Any) -> int:
"""Get the count of records returned by a query.
Args:
statement: To facilitate customization of the underlying select query.
**kwargs: Instance attribute value filters.
Returns:
Count of records returned by query, ignoring pagination.
"""
with wrap_sqlalchemy_exception(error_messages=self.error_messages):
statement = statement.with_only_columns(sql_func.count(text("1")), maintain_column_froms=True).order_by(
None,
)
statement = self._filter_statement_by_kwargs(statement, **kwargs)
results = self.execute(statement)
return results.scalar_one() # type: ignore # noqa: PGH003
def list_and_count(
self,
statement: Select[Any],
count_with_window_function: Optional[bool] = None,
**kwargs: Any,
) -> tuple[list[Row[Any]], int]:
"""List records with total count.
Args:
statement: To facilitate customization of the underlying select query.
count_with_window_function: Force list and count to use two queries instead of an analytical window function.
**kwargs: Instance attribute value filters.
Returns:
Count of records returned by query, ignoring pagination.
"""
if self._dialect.name in {"spanner", "spanner+spanner"} or count_with_window_function:
return self._list_and_count_basic(statement=statement, **kwargs)
return self._list_and_count_window(statement=statement, **kwargs)
def _list_and_count_window(
self,
statement: Select[Any],
**kwargs: Any,
) -> tuple[list[Row[Any]], int]:
"""List records with total count.
Args:
*filters: Types for specific filtering operations.
statement: To facilitate customization of the underlying select query.
**kwargs: Instance attribute value filters.
Returns:
Count of records returned by query using an analytical window function, ignoring pagination.
"""
with wrap_sqlalchemy_exception(error_messages=self.error_messages):
statement = statement.add_columns(over(sql_func.count(text("1"))))
statement = self._filter_statement_by_kwargs(statement, **kwargs)
result = self.execute(statement)
count: int = 0
instances: list[Row[Any]] = []
for i, (instance, count_value) in enumerate(result):
instances.append(instance)
if i == 0:
count = count_value
return instances, count
def _get_count_stmt(self, statement: Select[Any]) -> Select[Any]:
return statement.with_only_columns(sql_func.count(text("1")), maintain_column_froms=True).order_by(None) # pyright: ignore[reportUnknownVariable]
def _list_and_count_basic(
self,
statement: Select[Any],
**kwargs: Any,
) -> tuple[list[Row[Any]], int]:
"""List records with total count.
Args:
statement: To facilitate customization of the underlying select query. .
**kwargs: Instance attribute value filters.
Returns:
Count of records returned by query using 2 queries, ignoring pagination.
"""
with wrap_sqlalchemy_exception(error_messages=self.error_messages):
statement = self._filter_statement_by_kwargs(statement, **kwargs)
count_result = self.session.execute(self._get_count_stmt(statement))
count = count_result.scalar_one()
result = self.execute(statement)
instances: list[Row[Any]] = []
for (instance,) in result:
instances.append(instance)
return instances, count
def list(self, statement: Select[Any], **kwargs: Any) -> list[Row[Any]]:
"""Get a list of instances, optionally filtered.
Args:
statement: To facilitate customization of the underlying select query.
**kwargs: Instance attribute value filters.
Returns:
The list of instances, after filtering applied.
"""
with wrap_sqlalchemy_exception(error_messages=self.error_messages):
statement = self._filter_statement_by_kwargs(statement, **kwargs)
result = self.execute(statement)
return list(result.all())
def _filter_statement_by_kwargs(
self,
statement: Select[Any],
/,
**kwargs: Any,
) -> Select[Any]:
"""Filter the collection by kwargs.
Args:
statement: statement to filter
**kwargs: key/value pairs such that objects remaining in the statement after filtering
have the property that their attribute named `key` has value equal to `value`.
"""
with wrap_sqlalchemy_exception(error_messages=self.error_messages):
return statement.filter_by(**kwargs)
# the following is all sqlalchemy implementation detail, and shouldn't be directly accessed
@staticmethod
def check_not_found(item_or_none: Optional[T]) -> T:
"""Raise :class:`NotFoundError` if ``item_or_none`` is ``None``.
Args:
item_or_none: Item to be tested for existence.
Returns:
The item, if it exists.
"""
if item_or_none is None:
msg = "No item found when one was expected"
raise NotFoundError(msg)
return item_or_none
def execute(
self,
statement: Union[
ReturningDelete[tuple[Any]], ReturningUpdate[tuple[Any]], Select[tuple[Any]], Update, Delete, Select[Any]
],
) -> Result[Any]:
return self.session.execute(statement)
python-advanced-alchemy-0.34.0/advanced_alchemy/repository/_util.py 0000664 0000000 0000000 00000032654 14763441450 0025500 0 ustar 00root root 0000000 0000000 from collections.abc import Iterable, Sequence
from typing import Any, Literal, Optional, Protocol, Union, cast, overload
from sqlalchemy import (
Delete,
Dialect,
Select,
Update,
)
from sqlalchemy.orm import (
InstrumentedAttribute,
MapperProperty,
RelationshipProperty,
joinedload,
lazyload,
selectinload,
)
from sqlalchemy.orm.strategy_options import (
_AbstractLoad, # pyright: ignore[reportPrivateUsage] # pyright: ignore[reportPrivateUsage]
)
from sqlalchemy.sql import ColumnElement, ColumnExpressionArgument
from sqlalchemy.sql.base import ExecutableOption
from sqlalchemy.sql.dml import ReturningDelete, ReturningUpdate
from typing_extensions import TypeAlias
from advanced_alchemy.base import ModelProtocol
from advanced_alchemy.exceptions import ErrorMessages
from advanced_alchemy.exceptions import wrap_sqlalchemy_exception as _wrap_sqlalchemy_exception
from advanced_alchemy.filters import (
InAnyFilter,
PaginationFilter,
StatementFilter,
StatementTypeT,
)
from advanced_alchemy.repository.typing import ModelT, OrderingPair
WhereClauseT = ColumnExpressionArgument[bool]
SingleLoad: TypeAlias = Union[
_AbstractLoad,
Literal["*"],
InstrumentedAttribute[Any],
RelationshipProperty[Any],
MapperProperty[Any],
]
LoadCollection: TypeAlias = Sequence[Union[SingleLoad, Sequence[SingleLoad]]]
ExecutableOptions: TypeAlias = Sequence[ExecutableOption]
LoadSpec: TypeAlias = Union[LoadCollection, SingleLoad, ExecutableOption, ExecutableOptions]
OrderByT: TypeAlias = Union[
str,
InstrumentedAttribute[Any],
RelationshipProperty[Any],
]
# NOTE: For backward compatibility with Litestar - this is imported from here within the litestar codebase.
wrap_sqlalchemy_exception = _wrap_sqlalchemy_exception
DEFAULT_ERROR_MESSAGE_TEMPLATES: ErrorMessages = {
"integrity": "There was a data validation error during processing",
"foreign_key": "A foreign key is missing or invalid",
"multiple_rows": "Multiple matching rows found",
"duplicate_key": "A record matching the supplied data already exists.",
"other": "There was an error during data processing",
"check_constraint": "The data failed a check constraint during processing",
"not_found": "The requested resource was not found",
}
"""Default error messages for repository errors."""
def get_instrumented_attr(
model: type[ModelProtocol],
key: Union[str, InstrumentedAttribute[Any]],
) -> InstrumentedAttribute[Any]:
"""Get an instrumented attribute from a model.
Args:
model: SQLAlchemy model class.
key: Either a string attribute name or an :class:`sqlalchemy.orm.InstrumentedAttribute`.
Returns:
:class:`sqlalchemy.orm.InstrumentedAttribute`: The instrumented attribute from the model.
"""
if isinstance(key, str):
return cast("InstrumentedAttribute[Any]", getattr(model, key))
return key
def model_from_dict(model: type[ModelT], **kwargs: Any) -> ModelT:
"""Create an ORM model instance from a dictionary of attributes.
Args:
model: The SQLAlchemy model class to instantiate.
**kwargs: Keyword arguments containing model attribute values.
Returns:
ModelT: A new instance of the model populated with the provided values.
"""
data = {
column_name: kwargs[column_name]
for column_name in model.__mapper__.columns.keys() # noqa: SIM118 # pyright: ignore[reportUnknownMemberType]
if column_name in kwargs
}
return model(**data)
def get_abstract_loader_options(
loader_options: Union[LoadSpec, None],
default_loader_options: Union[list[_AbstractLoad], None] = None,
default_options_have_wildcards: bool = False,
merge_with_default: bool = True,
inherit_lazy_relationships: bool = True,
cycle_count: int = 0,
) -> tuple[list[_AbstractLoad], bool]:
"""Generate SQLAlchemy loader options for eager loading relationships.
Args:
loader_options :class:`~advanced_alchemy.repository.typing.LoadSpec`|:class:`None` Specification for how to load relationships. Can be:
- None: Use defaults
- :class:`sqlalchemy.orm.strategy_options._AbstractLoad`: Direct SQLAlchemy loader option
- :class:`sqlalchemy.orm.InstrumentedAttribute`: Model relationship attribute
- :class:`sqlalchemy.orm.RelationshipProperty`: SQLAlchemy relationship
- str: "*" for wildcard loading
- :class:`typing.Sequence` of the above
default_loader_options: :class:`typing.Sequence` of :class:`sqlalchemy.orm.strategy_options._AbstractLoad` loader options to start with.
default_options_have_wildcards: Whether the default options contain wildcards.
merge_with_default: Whether to merge the default options with the loader options.
inherit_lazy_relationships: Whether to inherit the ``lazy`` configuration from the model's relationships.
cycle_count: Number of times this function has been called recursively.
Returns:
tuple[:class:`list`[:class:`sqlalchemy.orm.strategy_options._AbstractLoad`], bool]: A tuple containing:
- :class:`list` of :class:`sqlalchemy.orm.strategy_options._AbstractLoad` SQLAlchemy loader option objects
- Boolean indicating if any wildcard loaders are present
"""
loads: list[_AbstractLoad] = []
if cycle_count == 0 and not inherit_lazy_relationships:
loads.append(lazyload("*"))
if cycle_count == 0 and merge_with_default and default_loader_options is not None:
loads.extend(default_loader_options)
options_have_wildcards = default_options_have_wildcards
if loader_options is None:
return (loads, options_have_wildcards)
if isinstance(loader_options, _AbstractLoad):
return ([loader_options], options_have_wildcards)
if isinstance(loader_options, InstrumentedAttribute):
loader_options = [loader_options.property]
if isinstance(loader_options, RelationshipProperty):
class_ = loader_options.class_attribute
return (
[selectinload(class_)]
if loader_options.uselist
else [joinedload(class_, innerjoin=loader_options.innerjoin)],
options_have_wildcards if loader_options.uselist else True,
)
if isinstance(loader_options, str) and loader_options == "*":
options_have_wildcards = True
return ([joinedload("*")], options_have_wildcards)
if isinstance(loader_options, (list, tuple)):
for attribute in loader_options: # pyright: ignore[reportUnknownVariableType]
if isinstance(attribute, (list, tuple)):
load_chain, options_have_wildcards = get_abstract_loader_options(
loader_options=attribute, # pyright: ignore[reportUnknownArgumentType]
default_options_have_wildcards=options_have_wildcards,
inherit_lazy_relationships=inherit_lazy_relationships,
merge_with_default=merge_with_default,
cycle_count=cycle_count + 1,
)
loader = load_chain[-1]
for sub_load in load_chain[-2::-1]:
loader = sub_load.options(loader)
loads.append(loader)
else:
load_chain, options_have_wildcards = get_abstract_loader_options(
loader_options=attribute, # pyright: ignore[reportUnknownArgumentType]
default_options_have_wildcards=options_have_wildcards,
inherit_lazy_relationships=inherit_lazy_relationships,
merge_with_default=merge_with_default,
cycle_count=cycle_count + 1,
)
loads.extend(load_chain)
return (loads, options_have_wildcards)
class FilterableRepositoryProtocol(Protocol[ModelT]):
"""Protocol defining the interface for filterable repositories.
This protocol defines the required attributes and methods that any
filterable repository implementation must provide.
"""
model_type: type[ModelT]
"""The SQLAlchemy model class this repository manages."""
class FilterableRepository(FilterableRepositoryProtocol[ModelT]):
"""Default implementation of a filterable repository.
Provides core filtering, ordering and pagination functionality for
SQLAlchemy models.
"""
model_type: type[ModelT]
"""The SQLAlchemy model class this repository manages."""
prefer_any_dialects: Optional[tuple[str]] = ("postgresql",)
"""List of dialects that prefer to use ``field.id = ANY(:1)`` instead of ``field.id IN (...)``."""
order_by: Optional[Union[list[OrderingPair], OrderingPair]] = None
"""List or single :class:`~advanced_alchemy.repository.typing.OrderingPair` to use for sorting."""
_prefer_any: bool = False
"""Whether to prefer ANY() over IN() in queries."""
_dialect: Dialect
"""The SQLAlchemy :class:`sqlalchemy.dialects.Dialect` being used."""
@overload
def _apply_filters(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
apply_pagination: bool = True,
statement: Select[tuple[ModelT]],
) -> Select[tuple[ModelT]]: ...
@overload
def _apply_filters(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
apply_pagination: bool = True,
statement: Delete,
) -> Delete: ...
@overload
def _apply_filters(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
apply_pagination: bool = True,
statement: Union[ReturningDelete[tuple[ModelT]], ReturningUpdate[tuple[ModelT]]],
) -> Union[ReturningDelete[tuple[ModelT]], ReturningUpdate[tuple[ModelT]]]: ...
@overload
def _apply_filters(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
apply_pagination: bool = True,
statement: Update,
) -> Update: ...
def _apply_filters(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
apply_pagination: bool = True,
statement: StatementTypeT,
) -> StatementTypeT:
"""Apply filters to a SQL statement.
Args:
*filters: Filter conditions to apply.
apply_pagination: Whether to apply pagination filters.
statement: The base SQL statement to filter.
Returns:
StatementTypeT: The filtered SQL statement.
"""
for filter_ in filters:
if isinstance(filter_, (PaginationFilter,)):
if apply_pagination:
statement = filter_.append_to_statement(statement, self.model_type)
elif isinstance(filter_, (InAnyFilter,)):
statement = filter_.append_to_statement(statement, self.model_type)
elif isinstance(filter_, ColumnElement):
statement = cast("StatementTypeT", statement.where(filter_))
else:
statement = filter_.append_to_statement(statement, self.model_type)
return statement
def _filter_select_by_kwargs(
self,
statement: StatementTypeT,
kwargs: Union[dict[Any, Any], Iterable[tuple[Any, Any]]],
) -> StatementTypeT:
"""Filter a statement using keyword arguments.
Args:
statement: :class:`sqlalchemy.sql.Select` The SQL statement to filter.
kwargs: Dictionary or iterable of tuples containing filter criteria.
Keys should be model attribute names, values are what to filter for.
Returns:
StatementTypeT: The filtered SQL statement.
"""
for key, val in dict(kwargs).items():
field = get_instrumented_attr(self.model_type, key)
statement = cast("StatementTypeT", statement.where(field == val))
return statement
def _apply_order_by(
self,
statement: StatementTypeT,
order_by: Union[
list[tuple[Union[str, InstrumentedAttribute[Any]], bool]],
tuple[Union[str, InstrumentedAttribute[Any]], bool],
],
) -> StatementTypeT:
"""Apply ordering to a SQL statement.
Args:
statement: The SQL statement to order.
order_by: Ordering specification. Either a single tuple or list of tuples where:
- First element is the field name or :class:`sqlalchemy.orm.InstrumentedAttribute` to order by
- Second element is a boolean indicating descending (True) or ascending (False)
Returns:
StatementTypeT: The ordered SQL statement.
"""
if not isinstance(order_by, list):
order_by = [order_by]
for order_field, is_desc in order_by:
field = get_instrumented_attr(self.model_type, order_field)
statement = self._order_by_attribute(statement, field, is_desc)
return statement
def _order_by_attribute(
self,
statement: StatementTypeT,
field: InstrumentedAttribute[Any],
is_desc: bool,
) -> StatementTypeT:
"""Apply ordering by a single attribute to a SQL statement.
Args:
statement: The SQL statement to order.
field: The model attribute to order by.
is_desc: Whether to order in descending (True) or ascending (False) order.
Returns:
StatementTypeT: The ordered SQL statement.
"""
if not isinstance(statement, Select):
return statement
return cast("StatementTypeT", statement.order_by(field.desc() if is_desc else field.asc()))
python-advanced-alchemy-0.34.0/advanced_alchemy/repository/memory/ 0000775 0000000 0000000 00000000000 14763441450 0025310 5 ustar 00root root 0000000 0000000 python-advanced-alchemy-0.34.0/advanced_alchemy/repository/memory/__init__.py 0000664 0000000 0000000 00000000624 14763441450 0027423 0 ustar 00root root 0000000 0000000 from advanced_alchemy.repository.memory._async import SQLAlchemyAsyncMockRepository, SQLAlchemyAsyncMockSlugRepository
from advanced_alchemy.repository.memory._sync import SQLAlchemySyncMockRepository, SQLAlchemySyncMockSlugRepository
__all__ = [
"SQLAlchemyAsyncMockRepository",
"SQLAlchemyAsyncMockSlugRepository",
"SQLAlchemySyncMockRepository",
"SQLAlchemySyncMockSlugRepository",
]
python-advanced-alchemy-0.34.0/advanced_alchemy/repository/memory/_async.py 0000664 0000000 0000000 00000072773 14763441450 0027156 0 ustar 00root root 0000000 0000000 import datetime
import random
import re
import string
from collections import abc
from collections.abc import Iterable
from typing import Any, Optional, Union, cast, overload
from unittest.mock import create_autospec
from sqlalchemy import (
ColumnElement,
Dialect,
Select,
StatementLambdaElement,
Update,
)
from sqlalchemy.ext.asyncio import AsyncSession
from sqlalchemy.ext.asyncio.scoping import async_scoped_session
from sqlalchemy.orm import InstrumentedAttribute
from sqlalchemy.orm.strategy_options import _AbstractLoad # pyright: ignore[reportPrivateUsage]
from sqlalchemy.sql.dml import ReturningUpdate
from typing_extensions import Self
from advanced_alchemy.exceptions import ErrorMessages, IntegrityError, NotFoundError, RepositoryError
from advanced_alchemy.filters import (
BeforeAfter,
CollectionFilter,
LimitOffset,
NotInCollectionFilter,
NotInSearchFilter,
OnBeforeAfter,
OrderBy,
SearchFilter,
StatementFilter,
)
from advanced_alchemy.repository._async import SQLAlchemyAsyncRepositoryProtocol, SQLAlchemyAsyncSlugRepositoryProtocol
from advanced_alchemy.repository._util import DEFAULT_ERROR_MESSAGE_TEMPLATES, LoadSpec
from advanced_alchemy.repository.memory.base import (
AnyObject,
InMemoryStore,
SQLAlchemyInMemoryStore,
SQLAlchemyMultiStore,
)
from advanced_alchemy.repository.typing import MISSING, ModelT, OrderingPair
from advanced_alchemy.utils.dataclass import Empty, EmptyType
from advanced_alchemy.utils.text import slugify
class SQLAlchemyAsyncMockRepository(SQLAlchemyAsyncRepositoryProtocol[ModelT]):
"""In memory repository."""
__database__: SQLAlchemyMultiStore[ModelT] = SQLAlchemyMultiStore(SQLAlchemyInMemoryStore)
__database_registry__: dict[type[Self], SQLAlchemyMultiStore[ModelT]] = {}
loader_options: Optional[LoadSpec] = None
"""Default loader options for the repository."""
execution_options: Optional[dict[str, Any]] = None
"""Default execution options for the repository."""
model_type: type[ModelT]
id_attribute: Any = "id"
match_fields: Optional[Union[list[str], str]] = None
uniquify: bool = False
_exclude_kwargs: set[str] = {
"statement",
"session",
"auto_expunge",
"auto_refresh",
"auto_commit",
"attribute_names",
"with_for_update",
"count_with_window_function",
"loader_options",
"execution_options",
"order_by",
"load",
"error_messages",
"wrap_exceptions",
"uniquify",
}
def __init__(
self,
*,
statement: Union[Select[tuple[ModelT]], StatementLambdaElement, None] = None,
session: Union[AsyncSession, async_scoped_session[AsyncSession]],
auto_expunge: bool = False,
auto_refresh: bool = True,
auto_commit: bool = False,
order_by: Union[list[OrderingPair], OrderingPair, None] = None,
error_messages: Union[ErrorMessages, None, EmptyType] = Empty,
wrap_exceptions: bool = True,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
**kwargs: Any,
) -> None:
self.session = session
self.statement = create_autospec("Select[Tuple[ModelT]]", instance=True)
self.auto_expunge = auto_expunge
self.auto_refresh = auto_refresh
self.auto_commit = auto_commit
self.error_messages = self._get_error_messages(error_messages=error_messages)
self.wrap_exceptions = wrap_exceptions
self.order_by = order_by
self._dialect: Dialect = create_autospec(Dialect, instance=True)
self._dialect.name = "mock"
self.__filtered_store__: InMemoryStore[ModelT] = self.__database__.store_type()
self._default_options: Any = []
self._default_execution_options: Any = {}
self._loader_options: Any = []
self._loader_options_have_wildcards = False
self.uniquify = bool(uniquify)
def __init_subclass__(cls) -> None:
cls.__database_registry__[cls] = cls.__database__ # pyright: ignore[reportGeneralTypeIssues,reportUnknownMemberType]
@staticmethod
def _get_error_messages(
error_messages: Union[ErrorMessages, None, EmptyType] = Empty,
default_messages: Union[ErrorMessages, None, EmptyType] = Empty,
) -> Optional[ErrorMessages]:
if error_messages == Empty:
error_messages = None
default_messages = cast(
"Optional[ErrorMessages]",
default_messages if default_messages != Empty else DEFAULT_ERROR_MESSAGE_TEMPLATES,
)
if error_messages is not None and default_messages is not None:
default_messages.update(cast("ErrorMessages", error_messages))
return default_messages
@classmethod
def __database_add__(cls, identity: Any, data: ModelT) -> ModelT:
return cast("ModelT", cls.__database__.add(identity, data)) # pyright: ignore[reportUnnecessaryCast,reportGeneralTypeIssues]
@classmethod
def __database_clear__(cls) -> None:
for database in cls.__database_registry__.values(): # pyright: ignore[reportGeneralTypeIssues,reportUnknownMemberType]
database.remove_all()
@overload
def __collection__(self) -> InMemoryStore[ModelT]: ...
@overload
def __collection__(self, identity: type[AnyObject]) -> InMemoryStore[AnyObject]: ...
def __collection__(
self,
identity: Optional[type[AnyObject]] = None,
) -> Union[InMemoryStore[AnyObject], InMemoryStore[ModelT]]:
if identity:
return self.__database__.store(identity)
return self.__filtered_store__ or self.__database__.store(self.model_type)
@staticmethod
def check_not_found(item_or_none: Union[ModelT, None]) -> ModelT:
if item_or_none is None:
msg = "No item found when one was expected"
raise NotFoundError(msg)
return item_or_none
@classmethod
def get_id_attribute_value(
cls,
item: Union[ModelT, type[ModelT]],
id_attribute: Union[str, InstrumentedAttribute[Any], None] = None,
) -> Any:
"""Get value of attribute named as :attr:`id_attribute` on ``item``.
Args:
item: Anything that should have an attribute named as :attr:`id_attribute` value.
id_attribute: Allows customization of the unique identifier to use for model fetching.
Defaults to `None`, but can reference any surrogate or candidate key for the table.
Returns:
The value of attribute on ``item`` named as :attr:`id_attribute`.
"""
if isinstance(id_attribute, InstrumentedAttribute):
id_attribute = id_attribute.key
return getattr(item, id_attribute if id_attribute is not None else cls.id_attribute)
@classmethod
def set_id_attribute_value(
cls,
item_id: Any,
item: ModelT,
id_attribute: Union[str, InstrumentedAttribute[Any], None] = None,
) -> ModelT:
"""Return the ``item`` after the ID is set to the appropriate attribute.
Args:
item_id: Value of ID to be set on instance
item: Anything that should have an attribute named as :attr:`id_attribute` value.
id_attribute: Allows customization of the unique identifier to use for model fetching.
Defaults to `None`, but can reference any surrogate or candidate key for the table.
Returns:
Item with ``item_id`` set to :attr:`id_attribute`
"""
if isinstance(id_attribute, InstrumentedAttribute):
id_attribute = id_attribute.key
setattr(item, id_attribute if id_attribute is not None else cls.id_attribute, item_id)
return item
def _exclude_unused_kwargs(self, kwargs: dict[str, Any]) -> dict[str, Any]:
return {key: value for key, value in kwargs.items() if key not in self._exclude_kwargs}
def _apply_limit_offset_pagination(self, result: list[ModelT], limit: int, offset: int) -> list[ModelT]:
return result[offset:limit]
def _filter_in_collection(
self,
result: list[ModelT],
field_name: str,
values: abc.Collection[Any],
) -> list[ModelT]:
return [item for item in result if getattr(item, field_name) in values]
def _filter_not_in_collection(
self,
result: list[ModelT],
field_name: str,
values: abc.Collection[Any],
) -> list[ModelT]:
if not values:
return result
return [item for item in result if getattr(item, field_name) not in values]
def _filter_on_datetime_field(
self,
result: list[ModelT],
field_name: str,
before: Optional[datetime.datetime] = None,
after: Optional[datetime.datetime] = None,
on_or_before: Optional[datetime.datetime] = None,
on_or_after: Optional[datetime.datetime] = None,
) -> list[ModelT]:
result_: list[ModelT] = []
for item in result:
attr: datetime.datetime = getattr(item, field_name)
if before is not None and attr < before:
result_.append(item)
if after is not None and attr > after:
result_.append(item)
if on_or_before is not None and attr <= on_or_before:
result_.append(item)
if on_or_after is not None and attr >= on_or_after:
result_.append(item)
return result_
def _filter_by_like(
self,
result: list[ModelT],
field_name: Union[str, set[str]],
value: str,
ignore_case: bool,
) -> list[ModelT]:
pattern = re.compile(rf".*{value}.*", re.IGNORECASE) if ignore_case else re.compile(rf".*{value}.*")
fields = {field_name} if isinstance(field_name, str) else field_name
items: list[ModelT] = []
for field in fields:
items.extend(
[
item
for item in result
if isinstance(getattr(item, field), str) and pattern.match(getattr(item, field))
],
)
return list(set(items))
def _filter_by_not_like(
self,
result: list[ModelT],
field_name: Union[str, set[str]],
value: str,
ignore_case: bool,
) -> list[ModelT]:
pattern = re.compile(rf".*{value}.*", re.IGNORECASE) if ignore_case else re.compile(rf".*{value}.*")
fields = {field_name} if isinstance(field_name, str) else field_name
items: list[ModelT] = []
for field in fields:
items.extend(
[
item
for item in result
if isinstance(getattr(item, field), str) and pattern.match(getattr(item, field))
],
)
return list(set(result).difference(set(items)))
def _filter_result_by_kwargs(
self,
result: Iterable[ModelT],
/,
kwargs: Union[dict[Any, Any], Iterable[tuple[Any, Any]]],
) -> list[ModelT]:
kwargs_: dict[Any, Any] = kwargs if isinstance(kwargs, dict) else dict(*kwargs)
kwargs_ = self._exclude_unused_kwargs(kwargs_)
try:
return [item for item in result if all(getattr(item, field) == value for field, value in kwargs_.items())]
except AttributeError as error:
raise RepositoryError from error
def _order_by(self, result: list[ModelT], field_name: str, sort_desc: bool = False) -> list[ModelT]:
return sorted(result, key=lambda item: getattr(item, field_name), reverse=sort_desc)
def _apply_filters(
self,
result: list[ModelT],
*filters: Union[StatementFilter, ColumnElement[bool]],
apply_pagination: bool = True,
) -> list[ModelT]:
for filter_ in filters:
if isinstance(filter_, LimitOffset):
if apply_pagination:
result = self._apply_limit_offset_pagination(result, filter_.limit, filter_.offset)
elif isinstance(filter_, BeforeAfter):
result = self._filter_on_datetime_field(
result,
field_name=filter_.field_name,
before=filter_.before,
after=filter_.after,
)
elif isinstance(filter_, OnBeforeAfter):
result = self._filter_on_datetime_field(
result,
field_name=filter_.field_name,
on_or_before=filter_.on_or_before,
on_or_after=filter_.on_or_after,
)
elif isinstance(filter_, NotInCollectionFilter):
if filter_.values is not None: # pyright: ignore # noqa: PGH003
result = self._filter_not_in_collection(result, filter_.field_name, filter_.values) # pyright: ignore # noqa: PGH003
elif isinstance(filter_, CollectionFilter):
if filter_.values is not None: # pyright: ignore # noqa: PGH003
result = self._filter_in_collection(result, filter_.field_name, filter_.values) # pyright: ignore # noqa: PGH003
elif isinstance(filter_, OrderBy):
result = self._order_by(
result,
filter_.field_name,
sort_desc=filter_.sort_order == "desc",
)
elif isinstance(filter_, NotInSearchFilter):
result = self._filter_by_not_like(
result,
filter_.field_name,
value=filter_.value,
ignore_case=bool(filter_.ignore_case),
)
elif isinstance(filter_, SearchFilter):
result = self._filter_by_like(
result,
filter_.field_name,
value=filter_.value,
ignore_case=bool(filter_.ignore_case),
)
elif not isinstance(filter_, ColumnElement):
msg = f"Unexpected filter: {filter_}"
raise RepositoryError(msg)
return result
def _get_match_fields(
self,
match_fields: Union[list[str], str, None],
id_attribute: Optional[str] = None,
) -> Optional[list[str]]:
id_attribute = id_attribute or self.id_attribute
match_fields = match_fields or self.match_fields
if isinstance(match_fields, str):
match_fields = [match_fields]
return match_fields
async def _list_and_count_basic(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
**kwargs: Any,
) -> tuple[list[ModelT], int]:
result = await self.list(*filters, **kwargs)
return result, len(result)
async def _list_and_count_window(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
**kwargs: Any,
) -> tuple[list[ModelT], int]:
return await self._list_and_count_basic(*filters, **kwargs)
def _find_or_raise_not_found(self, id_: Any) -> ModelT:
return self.check_not_found(self.__collection__().get_or_none(id_))
def _find_one_or_raise_error(self, result: list[ModelT]) -> ModelT:
if not result:
msg = "No item found when one was expected"
raise IntegrityError(msg)
if len(result) > 1:
msg = "Multiple objects when one was expected"
raise IntegrityError(msg)
return result[0]
def _get_update_many_statement(
self,
model_type: type[ModelT],
supports_returning: bool,
loader_options: Optional[list[_AbstractLoad]],
execution_options: Optional[dict[str, Any]],
) -> Union[Update, ReturningUpdate[tuple[ModelT]]]:
return self.statement # type: ignore[no-any-return] # pyright: ignore[reportReturnType]
@classmethod
async def check_health(cls, session: Union[AsyncSession, async_scoped_session[AsyncSession]]) -> bool:
return True
async def get(
self,
item_id: Any,
*,
auto_expunge: Optional[bool] = None,
statement: Union[Select[tuple[ModelT]], StatementLambdaElement, None] = None,
id_attribute: Union[str, InstrumentedAttribute[Any], None] = None,
error_messages: Union[ErrorMessages, None, EmptyType] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
) -> ModelT:
return self._find_or_raise_not_found(item_id)
async def get_one(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
auto_expunge: Optional[bool] = None,
statement: Union[Select[tuple[ModelT]], StatementLambdaElement, None] = None,
error_messages: Union[ErrorMessages, None, EmptyType] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
**kwargs: Any,
) -> ModelT:
return self.check_not_found(await self.get_one_or_none(**kwargs))
async def get_one_or_none(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
auto_expunge: Optional[bool] = None,
statement: Union[Select[tuple[ModelT]], StatementLambdaElement, None] = None,
error_messages: Union[ErrorMessages, None, EmptyType] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
**kwargs: Any,
) -> Union[ModelT, None]:
result = self._filter_result_by_kwargs(self.__collection__().list(), kwargs)
if len(result) > 1:
msg = "Multiple objects when one was expected"
raise IntegrityError(msg)
return result[0] if result else None
async def get_or_upsert(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
match_fields: Union[list[str], str, None] = None,
upsert: bool = True,
attribute_names: Optional[Iterable[str]] = None,
with_for_update: Optional[bool] = None,
auto_commit: Optional[bool] = None,
auto_expunge: Optional[bool] = None,
auto_refresh: Optional[bool] = None,
error_messages: Union[ErrorMessages, None, EmptyType] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
**kwargs: Any,
) -> tuple[ModelT, bool]:
kwargs_ = self._exclude_unused_kwargs(kwargs)
if match_fields := self._get_match_fields(match_fields=match_fields):
match_filter = {
# sourcery skip: remove-none-from-default-get
field_name: kwargs_.get(field_name, None)
for field_name in match_fields
if kwargs_.get(field_name, None) is not None
}
else:
match_filter = kwargs_
existing = await self.get_one_or_none(**match_filter)
if not existing:
return (await self.add(self.model_type(**kwargs_)), True)
if upsert:
for field_name, new_field_value in kwargs_.items():
field = getattr(existing, field_name, MISSING)
if field is not MISSING and field != new_field_value:
setattr(existing, field_name, new_field_value)
existing = await self.update(existing)
return existing, False
async def get_and_update(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
match_fields: Union[list[str], str, None] = None,
attribute_names: Optional[Iterable[str]] = None,
with_for_update: Optional[bool] = None,
auto_commit: Optional[bool] = None,
auto_expunge: Optional[bool] = None,
auto_refresh: Optional[bool] = None,
error_messages: Union[ErrorMessages, None, EmptyType] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
**kwargs: Any,
) -> tuple[ModelT, bool]:
kwargs_ = self._exclude_unused_kwargs(kwargs)
if match_fields := self._get_match_fields(match_fields=match_fields):
match_filter = {
# sourcery skip: remove-none-from-default-get
field_name: kwargs_.get(field_name, None)
for field_name in match_fields
if kwargs_.get(field_name, None) is not None
}
else:
match_filter = kwargs_
existing = await self.get_one(**match_filter)
updated = False
for field_name, new_field_value in kwargs_.items():
field = getattr(existing, field_name, MISSING)
if field is not MISSING and field != new_field_value:
updated = True
setattr(existing, field_name, new_field_value)
existing = await self.update(existing)
return existing, updated
async def exists(
self,
*filters: "Union[StatementFilter, ColumnElement[bool]]",
uniquify: Optional[bool] = None,
**kwargs: Any,
) -> bool:
existing = await self.count(*filters, **kwargs)
return existing > 0
async def count(
self,
*filters: "Union[StatementFilter, ColumnElement[bool]]",
uniquify: Optional[bool] = None,
**kwargs: Any,
) -> int:
result = self._apply_filters(self.__collection__().list(), *filters)
return len(self._filter_result_by_kwargs(result, kwargs))
async def add(
self,
data: ModelT,
*,
auto_commit: Optional[bool] = None,
auto_expunge: Optional[bool] = None,
auto_refresh: Optional[bool] = None,
error_messages: Union[ErrorMessages, None, EmptyType] = Empty,
) -> ModelT:
try:
self.__database__.add(self.model_type, data)
except KeyError as exc:
msg = "Item already exist in collection"
raise IntegrityError(msg) from exc
return data
async def add_many(
self,
data: list[ModelT],
*,
auto_commit: Optional[bool] = None,
auto_expunge: Optional[bool] = None,
error_messages: Union[ErrorMessages, None, EmptyType] = Empty,
) -> list[ModelT]:
for obj in data:
await self.add(obj) # pyright: ignore[reportCallIssue]
return data
async def update(
self,
data: ModelT,
*,
attribute_names: Optional[Iterable[str]] = None,
with_for_update: Optional[bool] = None,
auto_commit: Optional[bool] = None,
auto_expunge: Optional[bool] = None,
auto_refresh: Optional[bool] = None,
id_attribute: Union[str, InstrumentedAttribute[Any], None] = None,
error_messages: Union[ErrorMessages, None, EmptyType] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
) -> ModelT:
self._find_or_raise_not_found(self.__collection__().key(data))
return self.__collection__().update(data)
async def update_many(
self,
data: list[ModelT],
*,
auto_commit: Optional[bool] = None,
auto_expunge: Optional[bool] = None,
error_messages: Union[ErrorMessages, None, EmptyType] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
) -> list[ModelT]:
return [self.__collection__().update(obj) for obj in data if obj in self.__collection__()]
async def delete(
self,
item_id: Any,
*,
auto_commit: Optional[bool] = None,
auto_expunge: Optional[bool] = None,
id_attribute: Union[str, InstrumentedAttribute[Any], None] = None,
error_messages: Union[ErrorMessages, None, EmptyType] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
) -> ModelT:
try:
return self._find_or_raise_not_found(item_id)
finally:
self.__collection__().remove(item_id)
async def delete_many(
self,
item_ids: list[Any],
*,
auto_commit: Optional[bool] = None,
auto_expunge: Optional[bool] = None,
id_attribute: Union[str, InstrumentedAttribute[Any], None] = None,
chunk_size: Optional[int] = None,
error_messages: Union[ErrorMessages, None, EmptyType] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
) -> list[ModelT]:
deleted: list[ModelT] = []
for id_ in item_ids:
if obj := self.__collection__().get_or_none(id_):
deleted.append(obj)
self.__collection__().remove(id_)
return deleted
async def delete_where(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
auto_commit: Optional[bool] = None,
auto_expunge: Optional[bool] = None,
error_messages: Union[ErrorMessages, None, EmptyType] = Empty,
sanity_check: bool = True,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
**kwargs: Any,
) -> list[ModelT]:
result = self.__collection__().list()
result = self._apply_filters(result, *filters)
models = self._filter_result_by_kwargs(result, kwargs)
item_ids = [getattr(model, self.id_attribute) for model in models]
return await self.delete_many(item_ids=item_ids)
async def upsert(
self,
data: ModelT,
*,
attribute_names: Optional[Iterable[str]] = None,
with_for_update: Optional[bool] = None,
auto_expunge: Optional[bool] = None,
auto_commit: Optional[bool] = None,
auto_refresh: Optional[bool] = None,
match_fields: Union[list[str], str, None] = None,
error_messages: Union[ErrorMessages, None, EmptyType] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
) -> ModelT:
# sourcery skip: assign-if-exp, reintroduce-else
if data in self.__collection__():
return await self.update(data)
return await self.add(data)
async def upsert_many(
self,
data: list[ModelT],
*,
auto_expunge: Optional[bool] = None,
auto_commit: Optional[bool] = None,
no_merge: bool = False,
match_fields: Union[list[str], str, None] = None,
error_messages: Union[ErrorMessages, None, EmptyType] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
) -> list[ModelT]:
return [await self.upsert(item) for item in data]
async def list_and_count(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
statement: Union[Select[tuple[ModelT]], StatementLambdaElement, None] = None,
auto_expunge: Optional[bool] = None,
count_with_window_function: Optional[bool] = None,
order_by: Union[list[OrderingPair], OrderingPair, None] = None,
error_messages: Union[ErrorMessages, None, EmptyType] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
**kwargs: Any,
) -> tuple[list[ModelT], int]:
return await self._list_and_count_basic(*filters, **kwargs)
async def list(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
uniquify: Optional[bool] = None,
**kwargs: Any,
) -> list[ModelT]:
result = self.__collection__().list()
result = self._apply_filters(result, *filters)
return self._filter_result_by_kwargs(result, kwargs)
class SQLAlchemyAsyncMockSlugRepository(
SQLAlchemyAsyncMockRepository[ModelT],
SQLAlchemyAsyncSlugRepositoryProtocol[ModelT],
):
async def get_by_slug(
self,
slug: str,
error_messages: Union[ErrorMessages, None, EmptyType] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
**kwargs: Any,
) -> Union[ModelT, None]:
"""Select record by slug value."""
return await self.get_one_or_none(slug=slug)
async def get_available_slug(
self,
value_to_slugify: str,
**kwargs: Any,
) -> str:
"""Get a unique slug for the supplied value.
If the value is found to exist, a random 4 digit character is appended to the end.
Override this method to change the default behavior
Args:
value_to_slugify (str): A string that should be converted to a unique slug.
**kwargs: stuff
Returns:
str: a unique slug for the supplied value. This is safe for URLs and other unique identifiers.
"""
slug = slugify(value_to_slugify)
if await self._is_slug_unique(slug):
return slug
random_string = "".join(random.choices(string.ascii_lowercase + string.digits, k=4)) # noqa: S311
return f"{slug}-{random_string}"
async def _is_slug_unique(
self,
slug: str,
**kwargs: Any,
) -> bool:
return await self.exists(slug=slug) is False
python-advanced-alchemy-0.34.0/advanced_alchemy/repository/memory/_sync.py 0000664 0000000 0000000 00000072422 14763441450 0027004 0 ustar 00root root 0000000 0000000 # Do not edit this file directly. It has been autogenerated from
# advanced_alchemy/repository/memory/_async.py
import datetime
import random
import re
import string
from collections import abc
from collections.abc import Iterable
from typing import Any, Optional, Union, cast, overload
from unittest.mock import create_autospec
from sqlalchemy import (
ColumnElement,
Dialect,
Select,
StatementLambdaElement,
Update,
)
from sqlalchemy.orm import InstrumentedAttribute, Session
from sqlalchemy.orm.scoping import scoped_session
from sqlalchemy.orm.strategy_options import _AbstractLoad # pyright: ignore[reportPrivateUsage]
from sqlalchemy.sql.dml import ReturningUpdate
from typing_extensions import Self
from advanced_alchemy.exceptions import ErrorMessages, IntegrityError, NotFoundError, RepositoryError
from advanced_alchemy.filters import (
BeforeAfter,
CollectionFilter,
LimitOffset,
NotInCollectionFilter,
NotInSearchFilter,
OnBeforeAfter,
OrderBy,
SearchFilter,
StatementFilter,
)
from advanced_alchemy.repository._sync import SQLAlchemySyncRepositoryProtocol, SQLAlchemySyncSlugRepositoryProtocol
from advanced_alchemy.repository._util import DEFAULT_ERROR_MESSAGE_TEMPLATES, LoadSpec
from advanced_alchemy.repository.memory.base import (
AnyObject,
InMemoryStore,
SQLAlchemyInMemoryStore,
SQLAlchemyMultiStore,
)
from advanced_alchemy.repository.typing import MISSING, ModelT, OrderingPair
from advanced_alchemy.utils.dataclass import Empty, EmptyType
from advanced_alchemy.utils.text import slugify
class SQLAlchemySyncMockRepository(SQLAlchemySyncRepositoryProtocol[ModelT]):
"""In memory repository."""
__database__: SQLAlchemyMultiStore[ModelT] = SQLAlchemyMultiStore(SQLAlchemyInMemoryStore)
__database_registry__: dict[type[Self], SQLAlchemyMultiStore[ModelT]] = {}
loader_options: Optional[LoadSpec] = None
"""Default loader options for the repository."""
execution_options: Optional[dict[str, Any]] = None
"""Default execution options for the repository."""
model_type: type[ModelT]
id_attribute: Any = "id"
match_fields: Optional[Union[list[str], str]] = None
uniquify: bool = False
_exclude_kwargs: set[str] = {
"statement",
"session",
"auto_expunge",
"auto_refresh",
"auto_commit",
"attribute_names",
"with_for_update",
"count_with_window_function",
"loader_options",
"execution_options",
"order_by",
"load",
"error_messages",
"wrap_exceptions",
"uniquify",
}
def __init__(
self,
*,
statement: Union[Select[tuple[ModelT]], StatementLambdaElement, None] = None,
session: Union[Session, scoped_session[Session]],
auto_expunge: bool = False,
auto_refresh: bool = True,
auto_commit: bool = False,
order_by: Union[list[OrderingPair], OrderingPair, None] = None,
error_messages: Union[ErrorMessages, None, EmptyType] = Empty,
wrap_exceptions: bool = True,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
**kwargs: Any,
) -> None:
self.session = session
self.statement = create_autospec("Select[Tuple[ModelT]]", instance=True)
self.auto_expunge = auto_expunge
self.auto_refresh = auto_refresh
self.auto_commit = auto_commit
self.error_messages = self._get_error_messages(error_messages=error_messages)
self.wrap_exceptions = wrap_exceptions
self.order_by = order_by
self._dialect: Dialect = create_autospec(Dialect, instance=True)
self._dialect.name = "mock"
self.__filtered_store__: InMemoryStore[ModelT] = self.__database__.store_type()
self._default_options: Any = []
self._default_execution_options: Any = {}
self._loader_options: Any = []
self._loader_options_have_wildcards = False
self.uniquify = bool(uniquify)
def __init_subclass__(cls) -> None:
cls.__database_registry__[cls] = cls.__database__ # pyright: ignore[reportGeneralTypeIssues,reportUnknownMemberType]
@staticmethod
def _get_error_messages(
error_messages: Union[ErrorMessages, None, EmptyType] = Empty,
default_messages: Union[ErrorMessages, None, EmptyType] = Empty,
) -> Optional[ErrorMessages]:
if error_messages == Empty:
error_messages = None
default_messages = cast(
"Optional[ErrorMessages]",
default_messages if default_messages != Empty else DEFAULT_ERROR_MESSAGE_TEMPLATES,
)
if error_messages is not None and default_messages is not None:
default_messages.update(cast("ErrorMessages", error_messages))
return default_messages
@classmethod
def __database_add__(cls, identity: Any, data: ModelT) -> ModelT:
return cast("ModelT", cls.__database__.add(identity, data)) # pyright: ignore[reportUnnecessaryCast,reportGeneralTypeIssues]
@classmethod
def __database_clear__(cls) -> None:
for database in cls.__database_registry__.values(): # pyright: ignore[reportGeneralTypeIssues,reportUnknownMemberType]
database.remove_all()
@overload
def __collection__(self) -> InMemoryStore[ModelT]: ...
@overload
def __collection__(self, identity: type[AnyObject]) -> InMemoryStore[AnyObject]: ...
def __collection__(
self,
identity: Optional[type[AnyObject]] = None,
) -> Union[InMemoryStore[AnyObject], InMemoryStore[ModelT]]:
if identity:
return self.__database__.store(identity)
return self.__filtered_store__ or self.__database__.store(self.model_type)
@staticmethod
def check_not_found(item_or_none: Union[ModelT, None]) -> ModelT:
if item_or_none is None:
msg = "No item found when one was expected"
raise NotFoundError(msg)
return item_or_none
@classmethod
def get_id_attribute_value(
cls,
item: Union[ModelT, type[ModelT]],
id_attribute: Union[str, InstrumentedAttribute[Any], None] = None,
) -> Any:
"""Get value of attribute named as :attr:`id_attribute` on ``item``.
Args:
item: Anything that should have an attribute named as :attr:`id_attribute` value.
id_attribute: Allows customization of the unique identifier to use for model fetching.
Defaults to `None`, but can reference any surrogate or candidate key for the table.
Returns:
The value of attribute on ``item`` named as :attr:`id_attribute`.
"""
if isinstance(id_attribute, InstrumentedAttribute):
id_attribute = id_attribute.key
return getattr(item, id_attribute if id_attribute is not None else cls.id_attribute)
@classmethod
def set_id_attribute_value(
cls,
item_id: Any,
item: ModelT,
id_attribute: Union[str, InstrumentedAttribute[Any], None] = None,
) -> ModelT:
"""Return the ``item`` after the ID is set to the appropriate attribute.
Args:
item_id: Value of ID to be set on instance
item: Anything that should have an attribute named as :attr:`id_attribute` value.
id_attribute: Allows customization of the unique identifier to use for model fetching.
Defaults to `None`, but can reference any surrogate or candidate key for the table.
Returns:
Item with ``item_id`` set to :attr:`id_attribute`
"""
if isinstance(id_attribute, InstrumentedAttribute):
id_attribute = id_attribute.key
setattr(item, id_attribute if id_attribute is not None else cls.id_attribute, item_id)
return item
def _exclude_unused_kwargs(self, kwargs: dict[str, Any]) -> dict[str, Any]:
return {key: value for key, value in kwargs.items() if key not in self._exclude_kwargs}
def _apply_limit_offset_pagination(self, result: list[ModelT], limit: int, offset: int) -> list[ModelT]:
return result[offset:limit]
def _filter_in_collection(
self,
result: list[ModelT],
field_name: str,
values: abc.Collection[Any],
) -> list[ModelT]:
return [item for item in result if getattr(item, field_name) in values]
def _filter_not_in_collection(
self,
result: list[ModelT],
field_name: str,
values: abc.Collection[Any],
) -> list[ModelT]:
if not values:
return result
return [item for item in result if getattr(item, field_name) not in values]
def _filter_on_datetime_field(
self,
result: list[ModelT],
field_name: str,
before: Optional[datetime.datetime] = None,
after: Optional[datetime.datetime] = None,
on_or_before: Optional[datetime.datetime] = None,
on_or_after: Optional[datetime.datetime] = None,
) -> list[ModelT]:
result_: list[ModelT] = []
for item in result:
attr: datetime.datetime = getattr(item, field_name)
if before is not None and attr < before:
result_.append(item)
if after is not None and attr > after:
result_.append(item)
if on_or_before is not None and attr <= on_or_before:
result_.append(item)
if on_or_after is not None and attr >= on_or_after:
result_.append(item)
return result_
def _filter_by_like(
self,
result: list[ModelT],
field_name: Union[str, set[str]],
value: str,
ignore_case: bool,
) -> list[ModelT]:
pattern = re.compile(rf".*{value}.*", re.IGNORECASE) if ignore_case else re.compile(rf".*{value}.*")
fields = {field_name} if isinstance(field_name, str) else field_name
items: list[ModelT] = []
for field in fields:
items.extend(
[
item
for item in result
if isinstance(getattr(item, field), str) and pattern.match(getattr(item, field))
],
)
return list(set(items))
def _filter_by_not_like(
self,
result: list[ModelT],
field_name: Union[str, set[str]],
value: str,
ignore_case: bool,
) -> list[ModelT]:
pattern = re.compile(rf".*{value}.*", re.IGNORECASE) if ignore_case else re.compile(rf".*{value}.*")
fields = {field_name} if isinstance(field_name, str) else field_name
items: list[ModelT] = []
for field in fields:
items.extend(
[
item
for item in result
if isinstance(getattr(item, field), str) and pattern.match(getattr(item, field))
],
)
return list(set(result).difference(set(items)))
def _filter_result_by_kwargs(
self,
result: Iterable[ModelT],
/,
kwargs: Union[dict[Any, Any], Iterable[tuple[Any, Any]]],
) -> list[ModelT]:
kwargs_: dict[Any, Any] = kwargs if isinstance(kwargs, dict) else dict(*kwargs)
kwargs_ = self._exclude_unused_kwargs(kwargs_)
try:
return [item for item in result if all(getattr(item, field) == value for field, value in kwargs_.items())]
except AttributeError as error:
raise RepositoryError from error
def _order_by(self, result: list[ModelT], field_name: str, sort_desc: bool = False) -> list[ModelT]:
return sorted(result, key=lambda item: getattr(item, field_name), reverse=sort_desc)
def _apply_filters(
self,
result: list[ModelT],
*filters: Union[StatementFilter, ColumnElement[bool]],
apply_pagination: bool = True,
) -> list[ModelT]:
for filter_ in filters:
if isinstance(filter_, LimitOffset):
if apply_pagination:
result = self._apply_limit_offset_pagination(result, filter_.limit, filter_.offset)
elif isinstance(filter_, BeforeAfter):
result = self._filter_on_datetime_field(
result,
field_name=filter_.field_name,
before=filter_.before,
after=filter_.after,
)
elif isinstance(filter_, OnBeforeAfter):
result = self._filter_on_datetime_field(
result,
field_name=filter_.field_name,
on_or_before=filter_.on_or_before,
on_or_after=filter_.on_or_after,
)
elif isinstance(filter_, NotInCollectionFilter):
if filter_.values is not None: # pyright: ignore # noqa: PGH003
result = self._filter_not_in_collection(result, filter_.field_name, filter_.values) # pyright: ignore # noqa: PGH003
elif isinstance(filter_, CollectionFilter):
if filter_.values is not None: # pyright: ignore # noqa: PGH003
result = self._filter_in_collection(result, filter_.field_name, filter_.values) # pyright: ignore # noqa: PGH003
elif isinstance(filter_, OrderBy):
result = self._order_by(
result,
filter_.field_name,
sort_desc=filter_.sort_order == "desc",
)
elif isinstance(filter_, NotInSearchFilter):
result = self._filter_by_not_like(
result,
filter_.field_name,
value=filter_.value,
ignore_case=bool(filter_.ignore_case),
)
elif isinstance(filter_, SearchFilter):
result = self._filter_by_like(
result,
filter_.field_name,
value=filter_.value,
ignore_case=bool(filter_.ignore_case),
)
elif not isinstance(filter_, ColumnElement):
msg = f"Unexpected filter: {filter_}"
raise RepositoryError(msg)
return result
def _get_match_fields(
self,
match_fields: Union[list[str], str, None],
id_attribute: Optional[str] = None,
) -> Optional[list[str]]:
id_attribute = id_attribute or self.id_attribute
match_fields = match_fields or self.match_fields
if isinstance(match_fields, str):
match_fields = [match_fields]
return match_fields
def _list_and_count_basic(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
**kwargs: Any,
) -> tuple[list[ModelT], int]:
result = self.list(*filters, **kwargs)
return result, len(result)
def _list_and_count_window(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
**kwargs: Any,
) -> tuple[list[ModelT], int]:
return self._list_and_count_basic(*filters, **kwargs)
def _find_or_raise_not_found(self, id_: Any) -> ModelT:
return self.check_not_found(self.__collection__().get_or_none(id_))
def _find_one_or_raise_error(self, result: list[ModelT]) -> ModelT:
if not result:
msg = "No item found when one was expected"
raise IntegrityError(msg)
if len(result) > 1:
msg = "Multiple objects when one was expected"
raise IntegrityError(msg)
return result[0]
def _get_update_many_statement(
self,
model_type: type[ModelT],
supports_returning: bool,
loader_options: Optional[list[_AbstractLoad]],
execution_options: Optional[dict[str, Any]],
) -> Union[Update, ReturningUpdate[tuple[ModelT]]]:
return self.statement # type: ignore[no-any-return] # pyright: ignore[reportReturnType]
@classmethod
def check_health(cls, session: Union[Session, scoped_session[Session]]) -> bool:
return True
def get(
self,
item_id: Any,
*,
auto_expunge: Optional[bool] = None,
statement: Union[Select[tuple[ModelT]], StatementLambdaElement, None] = None,
id_attribute: Union[str, InstrumentedAttribute[Any], None] = None,
error_messages: Union[ErrorMessages, None, EmptyType] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
) -> ModelT:
return self._find_or_raise_not_found(item_id)
def get_one(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
auto_expunge: Optional[bool] = None,
statement: Union[Select[tuple[ModelT]], StatementLambdaElement, None] = None,
error_messages: Union[ErrorMessages, None, EmptyType] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
**kwargs: Any,
) -> ModelT:
return self.check_not_found(self.get_one_or_none(**kwargs))
def get_one_or_none(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
auto_expunge: Optional[bool] = None,
statement: Union[Select[tuple[ModelT]], StatementLambdaElement, None] = None,
error_messages: Union[ErrorMessages, None, EmptyType] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
**kwargs: Any,
) -> Union[ModelT, None]:
result = self._filter_result_by_kwargs(self.__collection__().list(), kwargs)
if len(result) > 1:
msg = "Multiple objects when one was expected"
raise IntegrityError(msg)
return result[0] if result else None
def get_or_upsert(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
match_fields: Union[list[str], str, None] = None,
upsert: bool = True,
attribute_names: Optional[Iterable[str]] = None,
with_for_update: Optional[bool] = None,
auto_commit: Optional[bool] = None,
auto_expunge: Optional[bool] = None,
auto_refresh: Optional[bool] = None,
error_messages: Union[ErrorMessages, None, EmptyType] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
**kwargs: Any,
) -> tuple[ModelT, bool]:
kwargs_ = self._exclude_unused_kwargs(kwargs)
if match_fields := self._get_match_fields(match_fields=match_fields):
match_filter = {
# sourcery skip: remove-none-from-default-get
field_name: kwargs_.get(field_name, None)
for field_name in match_fields
if kwargs_.get(field_name, None) is not None
}
else:
match_filter = kwargs_
existing = self.get_one_or_none(**match_filter)
if not existing:
return (self.add(self.model_type(**kwargs_)), True)
if upsert:
for field_name, new_field_value in kwargs_.items():
field = getattr(existing, field_name, MISSING)
if field is not MISSING and field != new_field_value:
setattr(existing, field_name, new_field_value)
existing = self.update(existing)
return existing, False
def get_and_update(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
match_fields: Union[list[str], str, None] = None,
attribute_names: Optional[Iterable[str]] = None,
with_for_update: Optional[bool] = None,
auto_commit: Optional[bool] = None,
auto_expunge: Optional[bool] = None,
auto_refresh: Optional[bool] = None,
error_messages: Union[ErrorMessages, None, EmptyType] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
**kwargs: Any,
) -> tuple[ModelT, bool]:
kwargs_ = self._exclude_unused_kwargs(kwargs)
if match_fields := self._get_match_fields(match_fields=match_fields):
match_filter = {
# sourcery skip: remove-none-from-default-get
field_name: kwargs_.get(field_name, None)
for field_name in match_fields
if kwargs_.get(field_name, None) is not None
}
else:
match_filter = kwargs_
existing = self.get_one(**match_filter)
updated = False
for field_name, new_field_value in kwargs_.items():
field = getattr(existing, field_name, MISSING)
if field is not MISSING and field != new_field_value:
updated = True
setattr(existing, field_name, new_field_value)
existing = self.update(existing)
return existing, updated
def exists(
self,
*filters: "Union[StatementFilter, ColumnElement[bool]]",
uniquify: Optional[bool] = None,
**kwargs: Any,
) -> bool:
existing = self.count(*filters, **kwargs)
return existing > 0
def count(
self,
*filters: "Union[StatementFilter, ColumnElement[bool]]",
uniquify: Optional[bool] = None,
**kwargs: Any,
) -> int:
result = self._apply_filters(self.__collection__().list(), *filters)
return len(self._filter_result_by_kwargs(result, kwargs))
def add(
self,
data: ModelT,
*,
auto_commit: Optional[bool] = None,
auto_expunge: Optional[bool] = None,
auto_refresh: Optional[bool] = None,
error_messages: Union[ErrorMessages, None, EmptyType] = Empty,
) -> ModelT:
try:
self.__database__.add(self.model_type, data)
except KeyError as exc:
msg = "Item already exist in collection"
raise IntegrityError(msg) from exc
return data
def add_many(
self,
data: list[ModelT],
*,
auto_commit: Optional[bool] = None,
auto_expunge: Optional[bool] = None,
error_messages: Union[ErrorMessages, None, EmptyType] = Empty,
) -> list[ModelT]:
for obj in data:
self.add(obj) # pyright: ignore[reportCallIssue]
return data
def update(
self,
data: ModelT,
*,
attribute_names: Optional[Iterable[str]] = None,
with_for_update: Optional[bool] = None,
auto_commit: Optional[bool] = None,
auto_expunge: Optional[bool] = None,
auto_refresh: Optional[bool] = None,
id_attribute: Union[str, InstrumentedAttribute[Any], None] = None,
error_messages: Union[ErrorMessages, None, EmptyType] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
) -> ModelT:
self._find_or_raise_not_found(self.__collection__().key(data))
return self.__collection__().update(data)
def update_many(
self,
data: list[ModelT],
*,
auto_commit: Optional[bool] = None,
auto_expunge: Optional[bool] = None,
error_messages: Union[ErrorMessages, None, EmptyType] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
) -> list[ModelT]:
return [self.__collection__().update(obj) for obj in data if obj in self.__collection__()]
def delete(
self,
item_id: Any,
*,
auto_commit: Optional[bool] = None,
auto_expunge: Optional[bool] = None,
id_attribute: Union[str, InstrumentedAttribute[Any], None] = None,
error_messages: Union[ErrorMessages, None, EmptyType] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
) -> ModelT:
try:
return self._find_or_raise_not_found(item_id)
finally:
self.__collection__().remove(item_id)
def delete_many(
self,
item_ids: list[Any],
*,
auto_commit: Optional[bool] = None,
auto_expunge: Optional[bool] = None,
id_attribute: Union[str, InstrumentedAttribute[Any], None] = None,
chunk_size: Optional[int] = None,
error_messages: Union[ErrorMessages, None, EmptyType] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
) -> list[ModelT]:
deleted: list[ModelT] = []
for id_ in item_ids:
if obj := self.__collection__().get_or_none(id_):
deleted.append(obj)
self.__collection__().remove(id_)
return deleted
def delete_where(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
auto_commit: Optional[bool] = None,
auto_expunge: Optional[bool] = None,
error_messages: Union[ErrorMessages, None, EmptyType] = Empty,
sanity_check: bool = True,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
**kwargs: Any,
) -> list[ModelT]:
result = self.__collection__().list()
result = self._apply_filters(result, *filters)
models = self._filter_result_by_kwargs(result, kwargs)
item_ids = [getattr(model, self.id_attribute) for model in models]
return self.delete_many(item_ids=item_ids)
def upsert(
self,
data: ModelT,
*,
attribute_names: Optional[Iterable[str]] = None,
with_for_update: Optional[bool] = None,
auto_expunge: Optional[bool] = None,
auto_commit: Optional[bool] = None,
auto_refresh: Optional[bool] = None,
match_fields: Union[list[str], str, None] = None,
error_messages: Union[ErrorMessages, None, EmptyType] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
) -> ModelT:
# sourcery skip: assign-if-exp, reintroduce-else
if data in self.__collection__():
return self.update(data)
return self.add(data)
def upsert_many(
self,
data: list[ModelT],
*,
auto_expunge: Optional[bool] = None,
auto_commit: Optional[bool] = None,
no_merge: bool = False,
match_fields: Union[list[str], str, None] = None,
error_messages: Union[ErrorMessages, None, EmptyType] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
) -> list[ModelT]:
return [self.upsert(item) for item in data]
def list_and_count(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
statement: Union[Select[tuple[ModelT]], StatementLambdaElement, None] = None,
auto_expunge: Optional[bool] = None,
count_with_window_function: Optional[bool] = None,
order_by: Union[list[OrderingPair], OrderingPair, None] = None,
error_messages: Union[ErrorMessages, None, EmptyType] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
**kwargs: Any,
) -> tuple[list[ModelT], int]:
return self._list_and_count_basic(*filters, **kwargs)
def list(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
uniquify: Optional[bool] = None,
**kwargs: Any,
) -> list[ModelT]:
result = self.__collection__().list()
result = self._apply_filters(result, *filters)
return self._filter_result_by_kwargs(result, kwargs)
class SQLAlchemySyncMockSlugRepository(
SQLAlchemySyncMockRepository[ModelT],
SQLAlchemySyncSlugRepositoryProtocol[ModelT],
):
def get_by_slug(
self,
slug: str,
error_messages: Union[ErrorMessages, None, EmptyType] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
**kwargs: Any,
) -> Union[ModelT, None]:
"""Select record by slug value."""
return self.get_one_or_none(slug=slug)
def get_available_slug(
self,
value_to_slugify: str,
**kwargs: Any,
) -> str:
"""Get a unique slug for the supplied value.
If the value is found to exist, a random 4 digit character is appended to the end.
Override this method to change the default behavior
Args:
value_to_slugify (str): A string that should be converted to a unique slug.
**kwargs: stuff
Returns:
str: a unique slug for the supplied value. This is safe for URLs and other unique identifiers.
"""
slug = slugify(value_to_slugify)
if self._is_slug_unique(slug):
return slug
random_string = "".join(random.choices(string.ascii_lowercase + string.digits, k=4)) # noqa: S311
return f"{slug}-{random_string}"
def _is_slug_unique(
self,
slug: str,
**kwargs: Any,
) -> bool:
return self.exists(slug=slug) is False
python-advanced-alchemy-0.34.0/advanced_alchemy/repository/memory/base.py 0000664 0000000 0000000 00000027760 14763441450 0026610 0 ustar 00root root 0000000 0000000 # ruff: noqa: PD011
import builtins
import contextlib
from collections import defaultdict
from inspect import isclass, signature
from typing import TYPE_CHECKING, Any, Generic, Union, cast, overload
from sqlalchemy import ColumnElement, inspect
from sqlalchemy.orm import RelationshipProperty, Session, class_mapper, object_mapper
from typing_extensions import TypeVar
from advanced_alchemy.exceptions import AdvancedAlchemyError
from advanced_alchemy.repository.typing import _MISSING, MISSING, ModelT # pyright: ignore[reportPrivateUsage]
if TYPE_CHECKING:
from collections.abc import Iterable
from sqlalchemy.orm import Mapper
CollectionT = TypeVar("CollectionT")
T = TypeVar("T")
AnyObject = TypeVar("AnyObject", bound="Any")
class _NotSet:
pass
class InMemoryStore(Generic[T]):
def __init__(self) -> None:
self._store: dict[Any, T] = {}
def _resolve_key(self, key: Any) -> Any:
"""Test different key representations
Args:
key: The key to test
Raises:
KeyError: Raised if key is not present
Returns:
The key representation that is present in the store
"""
for key_ in (key, str(key)):
if key_ in self._store:
return key_
raise KeyError
def key(self, obj: T) -> Any:
return hash(obj)
def add(self, obj: T) -> T:
if (key := self.key(obj)) not in self._store:
self._store[key] = obj
return obj
raise KeyError
def update(self, obj: T) -> T:
key = self._resolve_key(self.key(obj))
self._store[key] = obj
return obj
@overload
def get(self, key: Any, default: type[_NotSet] = _NotSet) -> T: ...
@overload
def get(self, key: Any, default: AnyObject) -> "Union[T, AnyObject]": ...
def get(self, key: Any, default: "Union[AnyObject, type[_NotSet]]" = _NotSet) -> "Union[T, AnyObject]":
"""Get the object identified by `key`, or return `default` if set or raise a `KeyError` otherwise
Args:
key: The key to test
default: Value to return if key is not present. Defaults to _NotSet.
Raises:
KeyError: Raised if key is not present
Returns:
The object identified by key
"""
try:
key = self._resolve_key(key)
except KeyError as error:
if isclass(default) and not issubclass(default, _NotSet): # pyright: ignore[reportUnnecessaryIsInstance]
return cast(AnyObject, default)
raise KeyError from error
return self._store[key]
def get_or_none(self, key: Any, default: Any = _NotSet) -> "Union[T, None]":
return self.get(key) if default is _NotSet else self.get(key, default)
def remove(self, key: Any) -> T:
return self._store.pop(self._resolve_key(key))
def list(self) -> list[T]:
return list(self._store.values())
def remove_all(self) -> None:
self._store = {}
def __contains__(self, obj: T) -> bool:
try:
self._resolve_key(self.key(obj))
except KeyError:
return False
else:
return True
def __bool__(self) -> bool:
return bool(self._store)
class MultiStore(Generic[T]):
def __init__(self, store_type: "type[InMemoryStore[T]]") -> None:
self.store_type = store_type
self._store: defaultdict[Any, InMemoryStore[T]] = defaultdict(store_type)
def add(self, identity: Any, obj: T) -> T:
return self._store[identity].add(obj)
def store(self, identity: Any) -> "InMemoryStore[T]":
return self._store[identity]
def identity(self, obj: T) -> Any:
return type(obj)
def remove_all(self) -> None:
self._store = defaultdict(self.store_type)
class SQLAlchemyInMemoryStore(InMemoryStore[ModelT]):
id_attribute: str = "id"
def _update_relationship(self, data: ModelT, ref: ModelT) -> None:
"""Set relationship data fields targeting ref class to ref.
Example:
```python
class Parent(Base):
child = relationship("Child")
class Child(Base):
pass
```
If data and ref are respectively a `Parent` and `Child` instances,
then `data.child` will be set to `ref`
Args:
data: Model instance on which to update relationships
ref: Target model instance to set on data relationships
"""
ref_mapper = object_mapper(ref)
for relationship in object_mapper(data).relationships:
local = next(iter(relationship.local_columns))
remote = next(iter(relationship.remote_side))
if not local.key or not remote.key:
msg = f"Cannot update relationship {relationship} for model {ref_mapper.class_}"
raise AdvancedAlchemyError(msg)
value = getattr(data, relationship.key)
if not value and relationship.mapper.class_ is ref_mapper.class_:
if relationship.uselist:
for elem in value:
if local_value := getattr(data, local.key):
setattr(elem, remote.key, local_value)
else:
setattr(data, relationship.key, ref)
def _update_fks(self, data: ModelT) -> None:
"""Update foreign key fields according to their corresponding relationships.
This make sure that `data.child_id` == `data.child.id`
or `data.children[0].parent_id` == `data.id`
Args:
data: Instance to be updated
"""
ref_mapper = object_mapper(data)
for relationship in ref_mapper.relationships:
if value := getattr(data, relationship.key):
local = next(iter(relationship.local_columns))
remote = next(iter(relationship.remote_side))
if not local.key or not remote.key:
msg = f"Cannot update relationship {relationship} for model {ref_mapper.class_}"
raise AdvancedAlchemyError(msg)
if relationship.uselist:
for elem in value:
if local_value := getattr(data, local.key):
setattr(elem, remote.key, local_value)
self._update_relationship(elem, data)
# Remove duplicates added by orm when updating list items
if isinstance(value, list):
setattr(data, relationship.key, type(value)(set(value))) # pyright: ignore[reportUnknownArgumentType]
else:
if remote_value := getattr(value, remote.key):
setattr(data, local.key, remote_value)
self._update_relationship(value, data)
def _set_defaults(self, data: ModelT) -> None:
"""Set fields with dynamic defaults.
Args:
data: Instance to be updated
"""
for elem in object_mapper(data).c:
default = getattr(elem, "default", MISSING)
value = getattr(data, elem.key, MISSING)
# If value is MISSING, it may be a declared_attr whose name can't be
# determined from the column/relationship element returned
if value is not MISSING and not value and not isinstance(default, _MISSING) and default is not None:
if default.is_scalar:
default_value: Any = default.arg
elif default.is_callable:
default_callable = default.arg.__func__ if isinstance(default.arg, staticmethod) else default.arg # pyright: ignore[reportUnknownMemberType]
if (
# Eager test because inspect.signature() does not
# recognize builtins
hasattr(builtins, default_callable.__name__)
# If present, context contains information about the current
# statement and can be used to access values from other columns.
# As we can't reproduce such context in Pydantic, we don't want
# include a default_factory in that case.
or "context" not in signature(default_callable).parameters
):
default_value = default.arg({}) # pyright: ignore[reportUnknownMemberType, reportCallIssue]
else:
continue
else:
continue
setattr(data, elem.key, default_value)
def changed_attrs(self, data: ModelT) -> "Iterable[str]":
res: list[str] = []
mapper = inspect(data)
if mapper is None:
msg = f"Cannot inspect {data.__class__} model"
raise AdvancedAlchemyError(msg)
attrs = class_mapper(data.__class__).column_attrs
for attr in attrs:
hist = getattr(mapper.attrs, attr.key).history
if hist.has_changes():
res.append(attr.key)
return res
def key(self, obj: ModelT) -> str:
return str(getattr(obj, self.id_attribute))
def add(self, obj: ModelT) -> ModelT:
self._set_defaults(obj)
self._update_fks(obj)
return super().add(obj)
def update(self, obj: ModelT) -> ModelT:
existing = self.get(self.key(obj))
for attr in self.changed_attrs(obj):
setattr(existing, attr, getattr(obj, attr))
self._update_fks(existing)
return super().update(existing)
class SQLAlchemyMultiStore(MultiStore[ModelT]):
def _new_instances(self, instance: ModelT) -> "Iterable[ModelT]":
session = Session()
session.add(instance)
relations = list(session.new)
session.expunge_all()
return relations
def _set_relationships_for_fks(self, data: ModelT) -> None:
"""Set relationships matching newly added foreign keys on the instance.
Example:
```python
class Parent(Base):
id: Mapped[UUID]
class Child(Base):
id: Mapped[UUID]
parent_id: Mapped[UUID] = mapped_column(ForeignKey("parent.id"))
parent: Mapped[Parent] = relationship(Parent)
```
If `data` is a Child instance and `parent_id` is set, `parent` will be set
to the matching Parent instance if found in the repository
Args:
data: The model to update
"""
obj_mapper = object_mapper(data)
mappers: dict[str, Mapper[Any]] = {}
column_relationships: dict[ColumnElement[Any], RelationshipProperty[Any]] = {}
for mapper in obj_mapper.registry.mappers:
for table in mapper.tables:
mappers[table.name] = mapper
for relationship in obj_mapper.relationships:
for column in relationship.local_columns:
column_relationships[column] = relationship
# sourcery skip: assign-if-exp
if state := inspect(data):
new_attrs: dict[str, Any] = state.dict
else:
new_attrs = {}
for column in obj_mapper.columns:
if column.key not in new_attrs or not column.foreign_keys:
continue
remote_mapper = mappers[next(iter(column.foreign_keys))._table_key()] # noqa: SLF001 # pyright: ignore[reportPrivateUsage]
try:
obj = self.store(remote_mapper.class_).get(new_attrs.get(column.key, None))
except KeyError:
continue
with contextlib.suppress(KeyError):
setattr(data, column_relationships[column].key, obj)
def add(self, identity: Any, obj: ModelT) -> ModelT:
for relation in self._new_instances(obj):
instance_type = self.identity(relation)
self._set_relationships_for_fks(relation)
if relation in self.store(instance_type):
continue
self.store(instance_type).add(relation)
return obj
python-advanced-alchemy-0.34.0/advanced_alchemy/repository/typing.py 0000664 0000000 0000000 00000005150 14763441450 0025665 0 ustar 00root root 0000000 0000000 from typing import TYPE_CHECKING, Any, Union
from sqlalchemy.orm import InstrumentedAttribute
from typing_extensions import TypeAlias, TypeVar
if TYPE_CHECKING:
from sqlalchemy import RowMapping, Select
from advanced_alchemy import base
from advanced_alchemy.repository._async import SQLAlchemyAsyncRepository
from advanced_alchemy.repository._sync import SQLAlchemySyncRepository
from advanced_alchemy.repository.memory._async import SQLAlchemyAsyncMockRepository
from advanced_alchemy.repository.memory._sync import SQLAlchemySyncMockRepository
__all__ = (
"MISSING",
"ModelOrRowMappingT",
"ModelT",
"OrderingPair",
"RowMappingT",
"RowT",
"SQLAlchemyAsyncRepositoryT",
"SQLAlchemySyncRepositoryT",
"SelectT",
"T",
)
T = TypeVar("T")
ModelT = TypeVar("ModelT", bound="base.ModelProtocol")
"""Type variable for SQLAlchemy models.
:class:`~advanced_alchemy.base.ModelProtocol`
"""
SelectT = TypeVar("SelectT", bound="Select[Any]")
"""Type variable for SQLAlchemy select statements.
:class:`~sqlalchemy.sql.Select`
"""
RowT = TypeVar("RowT", bound=tuple[Any, ...])
"""Type variable for rows.
:class:`~sqlalchemy.engine.Row`
"""
RowMappingT = TypeVar("RowMappingT", bound="RowMapping")
"""Type variable for row mappings.
:class:`~sqlalchemy.engine.RowMapping`
"""
ModelOrRowMappingT = TypeVar("ModelOrRowMappingT", bound="Union[base.ModelProtocol, RowMapping]")
"""Type variable for models or row mappings.
:class:`~advanced_alchemy.base.ModelProtocol` | :class:`~sqlalchemy.engine.RowMapping`
"""
SQLAlchemySyncRepositoryT = TypeVar(
"SQLAlchemySyncRepositoryT",
bound="Union[SQLAlchemySyncRepository[Any], SQLAlchemySyncMockRepository[Any]]",
default="Any",
)
"""Type variable for synchronous SQLAlchemy repositories.
:class:`~advanced_alchemy.repository.SQLAlchemySyncRepository`
"""
SQLAlchemyAsyncRepositoryT = TypeVar(
"SQLAlchemyAsyncRepositoryT",
bound="Union[SQLAlchemyAsyncRepository[Any], SQLAlchemyAsyncMockRepository[Any]]",
default="Any",
)
"""Type variable for asynchronous SQLAlchemy repositories.
:class:`~advanced_alchemy.repository.SQLAlchemyAsyncRepository`
"""
OrderingPair: TypeAlias = tuple[Union[str, InstrumentedAttribute[Any]], bool]
"""Type alias for ordering pairs.
A tuple of (column, ascending) where:
- column: Union[str, :class:`sqlalchemy.orm.InstrumentedAttribute`]
- ascending: bool
This type is used to specify ordering criteria for repository queries.
"""
class _MISSING:
"""Placeholder for missing values."""
MISSING = _MISSING()
"""Missing value placeholder.
:class:`~advanced_alchemy.repository.typing._MISSING`
"""
python-advanced-alchemy-0.34.0/advanced_alchemy/service/ 0000775 0000000 0000000 00000000000 14763441450 0023221 5 ustar 00root root 0000000 0000000 python-advanced-alchemy-0.34.0/advanced_alchemy/service/__init__.py 0000664 0000000 0000000 00000004463 14763441450 0025341 0 ustar 00root root 0000000 0000000 from advanced_alchemy.repository import (
DEFAULT_ERROR_MESSAGE_TEMPLATES,
Empty,
EmptyType,
ErrorMessages,
LoadSpec,
ModelOrRowMappingT,
ModelT,
OrderingPair,
model_from_dict,
)
from advanced_alchemy.service._async import (
SQLAlchemyAsyncQueryService,
SQLAlchemyAsyncRepositoryReadService,
SQLAlchemyAsyncRepositoryService,
)
from advanced_alchemy.service._sync import (
SQLAlchemySyncQueryService,
SQLAlchemySyncRepositoryReadService,
SQLAlchemySyncRepositoryService,
)
from advanced_alchemy.service._util import ResultConverter, find_filter
from advanced_alchemy.service.pagination import OffsetPagination
from advanced_alchemy.service.typing import (
FilterTypeT,
ModelDictListT,
ModelDictT,
ModelDTOT,
SupportedSchemaModel,
is_dict,
is_dict_with_field,
is_dict_without_field,
is_dto_data,
is_msgspec_struct,
is_msgspec_struct_with_field,
is_msgspec_struct_without_field,
is_pydantic_model,
is_pydantic_model_with_field,
is_pydantic_model_without_field,
is_schema,
is_schema_or_dict,
is_schema_or_dict_with_field,
is_schema_or_dict_without_field,
is_schema_with_field,
is_schema_without_field,
schema_dump,
)
__all__ = (
"DEFAULT_ERROR_MESSAGE_TEMPLATES",
"Empty",
"EmptyType",
"ErrorMessages",
"FilterTypeT",
"LoadSpec",
"ModelDTOT",
"ModelDictListT",
"ModelDictT",
"ModelOrRowMappingT",
"ModelT",
"OffsetPagination",
"OrderingPair",
"ResultConverter",
"SQLAlchemyAsyncQueryService",
"SQLAlchemyAsyncRepositoryReadService",
"SQLAlchemyAsyncRepositoryService",
"SQLAlchemySyncQueryService",
"SQLAlchemySyncRepositoryReadService",
"SQLAlchemySyncRepositoryService",
"SupportedSchemaModel",
"find_filter",
"is_dict",
"is_dict_with_field",
"is_dict_without_field",
"is_dto_data",
"is_msgspec_struct",
"is_msgspec_struct_with_field",
"is_msgspec_struct_without_field",
"is_pydantic_model",
"is_pydantic_model_with_field",
"is_pydantic_model_without_field",
"is_schema",
"is_schema_or_dict",
"is_schema_or_dict_with_field",
"is_schema_or_dict_without_field",
"is_schema_with_field",
"is_schema_without_field",
"model_from_dict",
"schema_dump",
)
python-advanced-alchemy-0.34.0/advanced_alchemy/service/_async.py 0000664 0000000 0000000 00000135242 14763441450 0025056 0 ustar 00root root 0000000 0000000 """Service object implementation for SQLAlchemy.
RepositoryService object is generic on the domain model type which
should be a SQLAlchemy model.
"""
from collections.abc import AsyncIterator, Iterable, Sequence
from contextlib import asynccontextmanager
from functools import cached_property
from typing import Any, ClassVar, Generic, Optional, Union, cast
from sqlalchemy import Select
from sqlalchemy.ext.asyncio import AsyncSession
from sqlalchemy.ext.asyncio.scoping import async_scoped_session
from sqlalchemy.orm import InstrumentedAttribute
from sqlalchemy.sql import ColumnElement
from typing_extensions import Self
from advanced_alchemy.config.asyncio import SQLAlchemyAsyncConfig
from advanced_alchemy.exceptions import AdvancedAlchemyError, ErrorMessages, ImproperConfigurationError, RepositoryError
from advanced_alchemy.filters import StatementFilter
from advanced_alchemy.repository import (
SQLAlchemyAsyncQueryRepository,
)
from advanced_alchemy.repository._util import LoadSpec, model_from_dict
from advanced_alchemy.repository.typing import ModelT, OrderingPair, SQLAlchemyAsyncRepositoryT
from advanced_alchemy.service._util import ResultConverter
from advanced_alchemy.service.typing import (
BulkModelDictT,
ModelDictListT,
ModelDictT,
is_dict,
is_dto_data,
is_msgspec_struct,
is_pydantic_model,
)
from advanced_alchemy.utils.dataclass import Empty, EmptyType
class SQLAlchemyAsyncQueryService(ResultConverter):
"""Simple service to execute the basic Query repository.."""
def __init__(
self,
session: Union[AsyncSession, async_scoped_session[AsyncSession]],
**repo_kwargs: Any,
) -> None:
"""Configure the service object.
Args:
session: Session managing the unit-of-work for the operation.
**repo_kwargs: Optional configuration values to pass into the repository
"""
self.repository = SQLAlchemyAsyncQueryRepository(
session=session,
**repo_kwargs,
)
@classmethod
@asynccontextmanager
async def new(
cls,
session: Optional[Union[AsyncSession, async_scoped_session[AsyncSession]]] = None,
config: Optional[SQLAlchemyAsyncConfig] = None,
) -> AsyncIterator[Self]:
"""Context manager that returns instance of service object.
Handles construction of the database session._create_select_for_model
Returns:
The service object instance.
"""
if not config and not session:
raise AdvancedAlchemyError(detail="Please supply an optional configuration or session to use.")
if session:
yield cls(session=session)
elif config:
async with config.get_session() as db_session:
yield cls(session=db_session)
class SQLAlchemyAsyncRepositoryReadService(ResultConverter, Generic[ModelT, SQLAlchemyAsyncRepositoryT]):
"""Service object that operates on a repository object."""
repository_type: type[SQLAlchemyAsyncRepositoryT]
"""Type of the repository to use."""
loader_options: ClassVar[Optional[LoadSpec]] = None
"""Default loader options for the repository."""
execution_options: ClassVar[Optional[dict[str, Any]]] = None
"""Default execution options for the repository."""
match_fields: ClassVar[Optional[Union[list[str], str]]] = None
"""List of dialects that prefer to use ``field.id = ANY(:1)`` instead of ``field.id IN (...)``."""
uniquify: ClassVar[bool] = False
"""Optionally apply the ``unique()`` method to results before returning."""
count_with_window_function: ClassVar[bool] = True
"""Use an analytical window function to count results. This allows the count to be performed in a single query."""
_repository_instance: SQLAlchemyAsyncRepositoryT
def __init__(
self,
session: Union[AsyncSession, async_scoped_session[AsyncSession]],
*,
statement: Optional[Select[Any]] = None,
auto_expunge: bool = False,
auto_refresh: bool = True,
auto_commit: bool = False,
order_by: Optional[Union[list[OrderingPair], OrderingPair]] = None,
error_messages: Union[ErrorMessages, None, EmptyType] = Empty,
wrap_exceptions: bool = True,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
count_with_window_function: Optional[bool] = None,
**repo_kwargs: Any,
) -> None:
"""Configure the service object.
Args:
session: Session managing the unit-of-work for the operation.
statement: To facilitate customization of the underlying select query.
auto_expunge: Remove object from session before returning.
auto_refresh: Refresh object from session before returning.
auto_commit: Commit objects before returning.
order_by: Set default order options for queries.
error_messages: A set of custom error messages to use for operations
wrap_exceptions: Wrap exceptions in a RepositoryError
load: Set default relationships to be loaded
execution_options: Set default execution options
uniquify: Optionally apply the ``unique()`` method to results before returning.
count_with_window_function: When false, list and count will use two queries instead of an analytical window function.
**repo_kwargs: passed as keyword args to repo instantiation.
"""
load = load if load is not None else self.loader_options
execution_options = execution_options if execution_options is not None else self.execution_options
count_with_window_function = (
count_with_window_function if count_with_window_function is not None else self.count_with_window_function
)
self._repository_instance: SQLAlchemyAsyncRepositoryT = self.repository_type( # type: ignore[assignment]
session=session,
statement=statement,
auto_expunge=auto_expunge,
auto_refresh=auto_refresh,
auto_commit=auto_commit,
order_by=order_by,
error_messages=error_messages,
wrap_exceptions=wrap_exceptions,
load=load,
execution_options=execution_options,
uniquify=self._get_uniquify(uniquify),
count_with_window_function=count_with_window_function,
**repo_kwargs,
)
def _get_uniquify(self, uniquify: Optional[bool] = None) -> bool:
return bool(uniquify or self.uniquify)
@property
def repository(self) -> SQLAlchemyAsyncRepositoryT:
"""Return the repository instance."""
if not self._repository_instance:
msg = "Repository not initialized"
raise ImproperConfigurationError(msg)
return self._repository_instance
@cached_property
def model_type(self) -> type[ModelT]:
"""Return the model type."""
return cast("type[ModelT]", self.repository.model_type)
async def count(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
statement: Optional[Select[tuple[ModelT]]] = None,
error_messages: Union[ErrorMessages, None, EmptyType] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
**kwargs: Any,
) -> int:
"""Count of records returned by query.
Args:
*filters: arguments for filtering.
statement: To facilitate customization of the underlying select query.
error_messages: An optional dictionary of templates to use
for friendlier error messages to clients
load: Set relationships to be loaded
execution_options: Set default execution options
uniquify: Optionally apply the ``unique()`` method to results before returning.
**kwargs: key value pairs of filter types.
Returns:
A count of the collection, filtered, but ignoring pagination.
"""
return await self.repository.count(
*filters,
statement=statement,
error_messages=error_messages,
load=load,
execution_options=execution_options,
uniquify=self._get_uniquify(uniquify),
**kwargs,
)
async def exists(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
error_messages: Union[ErrorMessages, None, EmptyType] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
**kwargs: Any,
) -> bool:
"""Wrap repository exists operation.
Args:
*filters: Types for specific filtering operations.
error_messages: An optional dictionary of templates to use
for friendlier error messages to clients
load: Set relationships to be loaded
execution_options: Set default execution options
uniquify: Optionally apply the ``unique()`` method to results before returning.
**kwargs: Keyword arguments for attribute based filtering.
Returns:
Representation of instance with identifier `item_id`.
"""
return await self.repository.exists(
*filters,
error_messages=error_messages,
load=load,
execution_options=execution_options,
uniquify=self._get_uniquify(uniquify),
**kwargs,
)
async def get(
self,
item_id: Any,
*,
statement: Optional[Select[tuple[ModelT]]] = None,
id_attribute: Optional[Union[str, InstrumentedAttribute[Any]]] = None,
auto_expunge: Optional[bool] = None,
error_messages: Union[ErrorMessages, None, EmptyType] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
) -> ModelT:
"""Wrap repository scalar operation.
Args:
item_id: Identifier of instance to be retrieved.
auto_expunge: Remove object from session before returning.
statement: To facilitate customization of the underlying select query.
id_attribute: Allows customization of the unique identifier to use for model fetching.
Defaults to `id`, but can reference any surrogate or candidate key for the table.
error_messages: An optional dictionary of templates to use
for friendlier error messages to clients
load: Set relationships to be loaded
execution_options: Set default execution options
uniquify: Optionally apply the ``unique()`` method to results before returning.
Returns:
Representation of instance with identifier `item_id`.
"""
return cast(
"ModelT",
await self.repository.get(
item_id=item_id,
auto_expunge=auto_expunge,
statement=statement,
id_attribute=id_attribute,
error_messages=error_messages,
load=load,
execution_options=execution_options,
uniquify=self._get_uniquify(uniquify),
),
)
async def get_one(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
statement: Optional[Select[tuple[ModelT]]] = None,
auto_expunge: Optional[bool] = None,
load: Optional[LoadSpec] = None,
error_messages: Union[ErrorMessages, None, EmptyType] = Empty,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
**kwargs: Any,
) -> ModelT:
"""Wrap repository scalar operation.
Args:
*filters: Types for specific filtering operations.
auto_expunge: Remove object from session before returning.
statement: To facilitate customization of the underlying select query.
error_messages: An optional dictionary of templates to use
for friendlier error messages to clients
load: Set default relationships to be loaded
execution_options: Set default execution options
uniquify: Optionally apply the ``unique()`` method to results before returning.
**kwargs: Identifier of the instance to be retrieved.
Returns:
Representation of instance with identifier `item_id`.
"""
return cast(
"ModelT",
await self.repository.get_one(
*filters,
auto_expunge=auto_expunge,
statement=statement,
error_messages=error_messages,
load=load,
execution_options=execution_options,
uniquify=self._get_uniquify(uniquify),
**kwargs,
),
)
async def get_one_or_none(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
statement: Optional[Select[tuple[ModelT]]] = None,
auto_expunge: Optional[bool] = None,
error_messages: Union[ErrorMessages, None, EmptyType] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
**kwargs: Any,
) -> Optional[ModelT]:
"""Wrap repository scalar operation.
Args:
*filters: Types for specific filtering operations.
auto_expunge: Remove object from session before returning.
statement: To facilitate customization of the underlying select query.
error_messages: An optional dictionary of templates to use
for friendlier error messages to clients
load: Set default relationships to be loaded
execution_options: Set default execution options
uniquify: Optionally apply the ``unique()`` method to results before returning.
**kwargs: Identifier of the instance to be retrieved.
Returns:
Representation of instance with identifier `item_id`.
"""
return cast(
"Optional[ModelT]",
await self.repository.get_one_or_none(
*filters,
auto_expunge=auto_expunge,
statement=statement,
error_messages=error_messages,
load=load,
execution_options=execution_options,
uniquify=self._get_uniquify(uniquify),
**kwargs,
),
)
async def to_model_on_create(self, data: "ModelDictT[ModelT]") -> "ModelDictT[ModelT]":
"""Convenience method to allow for custom behavior on create.
Args:
data: The data to be converted to a model.
Returns:
The data to be converted to a model.
"""
return data
async def to_model_on_update(self, data: "ModelDictT[ModelT]") -> "ModelDictT[ModelT]":
"""Convenience method to allow for custom behavior on update.
Args:
data: The data to be converted to a model.
Returns:
The data to be converted to a model.
"""
return data
async def to_model_on_delete(self, data: "ModelDictT[ModelT]") -> "ModelDictT[ModelT]":
"""Convenience method to allow for custom behavior on delete.
Args:
data: The data to be converted to a model.
Returns:
The data to be converted to a model.
"""
return data
async def to_model_on_upsert(self, data: "ModelDictT[ModelT]") -> "ModelDictT[ModelT]":
"""Convenience method to allow for custom behavior on upsert.
Args:
data: The data to be converted to a model.
Returns:
The data to be converted to a model.
"""
return data
async def to_model(
self,
data: "ModelDictT[ModelT]",
operation: Optional[str] = None,
) -> ModelT:
"""Parse and Convert input into a model.
Args:
data: Representations to be created.
operation: Optional operation flag so that you can provide behavior based on CRUD operation
Returns:
Representation of created instances.
"""
operation_map = {
"create": self.to_model_on_create,
"update": self.to_model_on_update,
"delete": self.to_model_on_delete,
"upsert": self.to_model_on_upsert,
}
if operation and (op := operation_map.get(operation)):
data = await op(data)
if is_dict(data):
return model_from_dict(model=self.model_type, **data)
if is_pydantic_model(data):
return model_from_dict(
model=self.model_type,
**data.model_dump(exclude_unset=True),
)
if is_msgspec_struct(data):
from msgspec import UNSET
return model_from_dict(
model=self.model_type,
**{f: val for f in data.__struct_fields__ if (val := getattr(data, f, None)) != UNSET},
)
if is_dto_data(data):
return cast("ModelT", data.create_instance())
return cast("ModelT", data)
async def list_and_count(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
statement: Optional[Select[tuple[ModelT]]] = None,
auto_expunge: Optional[bool] = None,
count_with_window_function: Optional[bool] = None,
order_by: Optional[Union[list[OrderingPair], OrderingPair]] = None,
error_messages: Union[ErrorMessages, None, EmptyType] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
**kwargs: Any,
) -> tuple[Sequence[ModelT], int]:
"""List of records and total count returned by query.
Args:
*filters: Types for specific filtering operations.
statement: To facilitate customization of the underlying select query.
auto_expunge: Remove object from session before returning.
count_with_window_function: When false, list and count will use two queries instead of an analytical window function.
order_by: Set default order options for queries.
error_messages: An optional dictionary of templates to use
for friendlier error messages to clients
load: Set relationships to be loaded
execution_options: Set default execution options
uniquify: Optionally apply the ``unique()`` method to results before returning.
**kwargs: Instance attribute value filters.
Returns:
List of instances and count of total collection, ignoring pagination.
"""
return cast(
"tuple[Sequence[ModelT], int]",
await self.repository.list_and_count(
*filters,
statement=statement,
auto_expunge=auto_expunge,
count_with_window_function=count_with_window_function,
order_by=order_by,
error_messages=error_messages,
load=load,
execution_options=execution_options,
uniquify=self._get_uniquify(uniquify),
**kwargs,
),
)
@classmethod
@asynccontextmanager
async def new(
cls,
session: Optional[Union[AsyncSession, async_scoped_session[AsyncSession]]] = None,
statement: Optional[Select[tuple[ModelT]]] = None,
config: Optional[SQLAlchemyAsyncConfig] = None,
error_messages: Union[ErrorMessages, None, EmptyType] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
count_with_window_function: Optional[bool] = None,
) -> AsyncIterator[Self]:
"""Context manager that returns instance of service object.
Handles construction of the database session._create_select_for_model
Returns:
The service object instance.
"""
if not config and not session:
raise AdvancedAlchemyError(detail="Please supply an optional configuration or session to use.")
if session:
yield cls(
statement=statement,
session=session,
error_messages=error_messages,
load=load,
execution_options=execution_options,
uniquify=uniquify,
count_with_window_function=count_with_window_function,
)
elif config:
async with config.get_session() as db_session:
yield cls(
statement=statement,
session=db_session,
error_messages=error_messages,
load=load,
execution_options=execution_options,
uniquify=uniquify,
count_with_window_function=count_with_window_function,
)
async def list(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
statement: Optional[Select[tuple[ModelT]]] = None,
auto_expunge: Optional[bool] = None,
order_by: Optional[Union[list[OrderingPair], OrderingPair]] = None,
error_messages: Union[ErrorMessages, None, EmptyType] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
**kwargs: Any,
) -> Sequence[ModelT]:
"""Wrap repository scalars operation.
Args:
*filters: Types for specific filtering operations.
auto_expunge: Remove object from session before returning.
statement: To facilitate customization of the underlying select query.
order_by: Set default order options for queries.
error_messages: An optional dictionary of templates to use
for friendlier error messages to clients
load: Set default relationships to be loaded
execution_options: Set default execution options
uniquify: Optionally apply the ``unique()`` method to results before returning.
**kwargs: Instance attribute value filters.
Returns:
The list of instances retrieved from the repository.
"""
return cast(
"Sequence[ModelT]",
await self.repository.list(
*filters,
statement=statement,
auto_expunge=auto_expunge,
order_by=order_by,
error_messages=error_messages,
load=load,
execution_options=execution_options,
uniquify=self._get_uniquify(uniquify),
**kwargs,
),
)
class SQLAlchemyAsyncRepositoryService(
SQLAlchemyAsyncRepositoryReadService[ModelT, SQLAlchemyAsyncRepositoryT],
Generic[ModelT, SQLAlchemyAsyncRepositoryT],
):
"""Service object that operates on a repository object."""
async def create(
self,
data: "ModelDictT[ModelT]",
*,
auto_commit: Optional[bool] = None,
auto_expunge: Optional[bool] = None,
auto_refresh: Optional[bool] = None,
error_messages: Union[ErrorMessages, None, EmptyType] = Empty,
) -> "ModelT":
"""Wrap repository instance creation.
Args:
data: Representation to be created.
auto_expunge: Remove object from session before returning.
auto_refresh: Refresh object from session before returning.
auto_commit: Commit objects before returning.
error_messages: An optional dictionary of templates to use
for friendlier error messages to clients
Returns:
Representation of created instance.
"""
data = await self.to_model(data, "create")
return cast(
"ModelT",
await self.repository.add(
data=data,
auto_commit=auto_commit,
auto_expunge=auto_expunge,
auto_refresh=auto_refresh,
error_messages=error_messages,
),
)
async def create_many(
self,
data: "BulkModelDictT[ModelT]",
*,
auto_commit: Optional[bool] = None,
auto_expunge: Optional[bool] = None,
error_messages: Union[ErrorMessages, None, EmptyType] = Empty,
) -> Sequence[ModelT]:
"""Wrap repository bulk instance creation.
Args:
data: Representations to be created.
auto_expunge: Remove object from session before returning.
auto_commit: Commit objects before returning.
error_messages: An optional dictionary of templates to use
for friendlier error messages to clients
uniquify: Optionally apply the ``unique()`` method to results before returning.
Returns:
Representation of created instances.
"""
if is_dto_data(data):
data = data.create_instance()
data = [(await self.to_model(datum, "create")) for datum in cast("ModelDictListT[ModelT]", data)]
return cast(
"Sequence[ModelT]",
await self.repository.add_many(
data=cast("list[ModelT]", data), # pyright: ignore[reportUnnecessaryCast]
auto_commit=auto_commit,
auto_expunge=auto_expunge,
error_messages=error_messages,
),
)
async def update(
self,
data: "ModelDictT[ModelT]",
item_id: Optional[Any] = None,
*,
attribute_names: Optional[Iterable[str]] = None,
with_for_update: Optional[bool] = None,
auto_commit: Optional[bool] = None,
auto_expunge: Optional[bool] = None,
auto_refresh: Optional[bool] = None,
id_attribute: Optional[Union[str, InstrumentedAttribute[Any]]] = None,
error_messages: Union[ErrorMessages, None, EmptyType] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
) -> "ModelT":
"""Wrap repository update operation.
Args:
data: Representation to be updated.
item_id: Identifier of item to be updated.
attribute_names: an iterable of attribute names to pass into the ``update``
method.
with_for_update: indicating FOR UPDATE should be used, or may be a
dictionary containing flags to indicate a more specific set of
FOR UPDATE flags for the SELECT
auto_expunge: Remove object from session before returning.
auto_refresh: Refresh object from session before returning.
auto_commit: Commit objects before returning.
id_attribute: Allows customization of the unique identifier to use for model fetching.
Defaults to `id`, but can reference any surrogate or candidate key for the table.
error_messages: An optional dictionary of templates to use
for friendlier error messages to clients
load: Set default relationships to be loaded
execution_options: Set default execution options
uniquify: Optionally apply the ``unique()`` method to results before returning.
Returns:
Updated representation.
"""
data = await self.to_model(data, "update")
if (
item_id is None
and self.repository.get_id_attribute_value( # pyright: ignore[reportUnknownMemberType]
item=data,
id_attribute=id_attribute,
)
is None
):
msg = (
"Could not identify ID attribute value. One of the following is required: "
f"``item_id`` or ``data.{id_attribute or self.repository.id_attribute}``"
)
raise RepositoryError(msg)
if item_id is not None:
data = self.repository.set_id_attribute_value(item_id=item_id, item=data, id_attribute=id_attribute) # pyright: ignore[reportUnknownMemberType]
return cast(
"ModelT",
await self.repository.update(
data=data,
attribute_names=attribute_names,
with_for_update=with_for_update,
auto_commit=auto_commit,
auto_expunge=auto_expunge,
auto_refresh=auto_refresh,
id_attribute=id_attribute,
error_messages=error_messages,
load=load,
execution_options=execution_options,
uniquify=self._get_uniquify(uniquify),
),
)
async def update_many(
self,
data: "BulkModelDictT[ModelT]",
*,
auto_commit: Optional[bool] = None,
auto_expunge: Optional[bool] = None,
error_messages: Union[ErrorMessages, None, EmptyType] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
) -> Sequence[ModelT]:
"""Wrap repository bulk instance update.
Args:
data: Representations to be updated.
auto_expunge: Remove object from session before returning.
auto_commit: Commit objects before returning.
error_messages: An optional dictionary of templates to use
for friendlier error messages to clients
load: Set default relationships to be loaded
execution_options: Set default execution options
uniquify: Optionally apply the ``unique()`` method to results before returning.
Returns:
Representation of updated instances.
"""
if is_dto_data(data):
data = data.create_instance()
data = [(await self.to_model(datum, "update")) for datum in cast("ModelDictListT[ModelT]", data)]
return cast(
"Sequence[ModelT]",
await self.repository.update_many(
cast("list[ModelT]", data), # pyright: ignore[reportUnnecessaryCast]
auto_commit=auto_commit,
auto_expunge=auto_expunge,
error_messages=error_messages,
load=load,
execution_options=execution_options,
uniquify=self._get_uniquify(uniquify),
),
)
async def upsert(
self,
data: "ModelDictT[ModelT]",
item_id: Optional[Any] = None,
*,
attribute_names: Optional[Iterable[str]] = None,
with_for_update: Optional[bool] = None,
auto_expunge: Optional[bool] = None,
auto_commit: Optional[bool] = None,
auto_refresh: Optional[bool] = None,
match_fields: Optional[Union[list[str], str]] = None,
error_messages: Union[ErrorMessages, None, EmptyType] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
) -> ModelT:
"""Wrap repository upsert operation.
Args:
data: Instance to update existing, or be created. Identifier used to determine if an
existing instance exists is the value of an attribute on `data` named as value of
`self.id_attribute`.
item_id: Identifier of the object for upsert.
attribute_names: an iterable of attribute names to pass into the ``update`` method.
with_for_update: indicating FOR UPDATE should be used, or may be a
dictionary containing flags to indicate a more specific set of
FOR UPDATE flags for the SELECT
auto_expunge: Remove object from session before returning.
auto_refresh: Refresh object from session before returning.
auto_commit: Commit objects before returning.
match_fields: a list of keys to use to match the existing model. When
empty, all fields are matched.
error_messages: An optional dictionary of templates to use
for friendlier error messages to clients
load: Set default relationships to be loaded
execution_options: Set default execution options
uniquify: Optionally apply the ``unique()`` method to results before returning.
Returns:
Updated or created representation.
"""
data = await self.to_model(data, "upsert")
item_id = item_id if item_id is not None else self.repository.get_id_attribute_value(item=data) # pyright: ignore[reportUnknownMemberType]
if item_id is not None:
self.repository.set_id_attribute_value(item_id, data) # pyright: ignore[reportUnknownMemberType]
return cast(
"ModelT",
await self.repository.upsert(
data=data,
attribute_names=attribute_names,
with_for_update=with_for_update,
auto_expunge=auto_expunge,
auto_commit=auto_commit,
auto_refresh=auto_refresh,
match_fields=match_fields,
error_messages=error_messages,
load=load,
execution_options=execution_options,
uniquify=self._get_uniquify(uniquify),
),
)
async def upsert_many(
self,
data: "BulkModelDictT[ModelT]",
*,
auto_expunge: Optional[bool] = None,
auto_commit: Optional[bool] = None,
no_merge: bool = False,
match_fields: Optional[Union[list[str], str]] = None,
error_messages: Union[ErrorMessages, None, EmptyType] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
) -> Sequence[ModelT]:
"""Wrap repository upsert operation.
Args:
data: Instance to update existing, or be created.
auto_expunge: Remove object from session before returning.
auto_commit: Commit objects before returning.
no_merge: Skip the usage of optimized Merge statements (**reserved for future use**)
match_fields: a list of keys to use to match the existing model. When
empty, all fields are matched.
error_messages: An optional dictionary of templates to use
for friendlier error messages to clients
load: Set default relationships to be loaded
execution_options: Set default execution options
uniquify: Optionally apply the ``unique()`` method to results before returning.
Returns:
Updated or created representation.
"""
if is_dto_data(data):
data = data.create_instance()
data = [(await self.to_model(datum, "upsert")) for datum in cast("ModelDictListT[ModelT]", data)]
return cast(
"Sequence[ModelT]",
await self.repository.upsert_many(
data=cast("list[ModelT]", data), # pyright: ignore[reportUnnecessaryCast]
auto_expunge=auto_expunge,
auto_commit=auto_commit,
no_merge=no_merge,
match_fields=match_fields,
error_messages=error_messages,
load=load,
execution_options=execution_options,
uniquify=self._get_uniquify(uniquify),
),
)
async def get_or_upsert(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
match_fields: Optional[Union[list[str], str]] = None,
upsert: bool = True,
attribute_names: Optional[Iterable[str]] = None,
with_for_update: Optional[bool] = None,
auto_commit: Optional[bool] = None,
auto_expunge: Optional[bool] = None,
auto_refresh: Optional[bool] = None,
error_messages: Union[ErrorMessages, None, EmptyType] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
**kwargs: Any,
) -> tuple[ModelT, bool]:
"""Wrap repository instance creation.
Args:
*filters: Types for specific filtering operations.
match_fields: a list of keys to use to match the existing model. When
empty, all fields are matched.
upsert: When using match_fields and actual model values differ from
`kwargs`, perform an update operation on the model.
create: Should a model be created. If no model is found, an exception is raised.
attribute_names: an iterable of attribute names to pass into the ``update``
method.
with_for_update: indicating FOR UPDATE should be used, or may be a
dictionary containing flags to indicate a more specific set of
FOR UPDATE flags for the SELECT
auto_expunge: Remove object from session before returning.
auto_refresh: Refresh object from session before returning.
auto_commit: Commit objects before returning.
error_messages: An optional dictionary of templates to use
for friendlier error messages to clients
load: Set default relationships to be loaded
execution_options: Set default execution options
uniquify: Optionally apply the ``unique()`` method to results before returning.
**kwargs: Identifier of the instance to be retrieved.
Returns:
Representation of created instance.
"""
match_fields = match_fields or self.match_fields
validated_model = await self.to_model(kwargs, "create")
return cast(
"tuple[ModelT, bool]",
await self.repository.get_or_upsert(
*filters,
match_fields=match_fields,
upsert=upsert,
attribute_names=attribute_names,
with_for_update=with_for_update,
auto_commit=auto_commit,
auto_expunge=auto_expunge,
auto_refresh=auto_refresh,
error_messages=error_messages,
load=load,
execution_options=execution_options,
uniquify=self._get_uniquify(uniquify),
**validated_model.to_dict(),
),
)
async def get_and_update(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
match_fields: Optional[Union[list[str], str]] = None,
attribute_names: Optional[Iterable[str]] = None,
with_for_update: Optional[bool] = None,
auto_commit: Optional[bool] = None,
auto_expunge: Optional[bool] = None,
auto_refresh: Optional[bool] = None,
error_messages: Union[ErrorMessages, None, EmptyType] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
**kwargs: Any,
) -> tuple[ModelT, bool]:
"""Wrap repository instance creation.
Args:
*filters: Types for specific filtering operations.
match_fields: a list of keys to use to match the existing model. When
empty, all fields are matched.
attribute_names: an iterable of attribute names to pass into the ``update``
method.
with_for_update: indicating FOR UPDATE should be used, or may be a
dictionary containing flags to indicate a more specific set of
FOR UPDATE flags for the SELECT
auto_expunge: Remove object from session before returning.
auto_refresh: Refresh object from session before returning.
auto_commit: Commit objects before returning.
error_messages: An optional dictionary of templates to use
for friendlier error messages to clients
load: Set default relationships to be loaded
execution_options: Set default execution options
uniquify: Optionally apply the ``unique()`` method to results before returning.
**kwargs: Identifier of the instance to be retrieved.
Returns:
Representation of updated instance.
"""
match_fields = match_fields or self.match_fields
validated_model = await self.to_model(kwargs, "update")
return cast(
"tuple[ModelT, bool]",
await self.repository.get_and_update(
*filters,
match_fields=match_fields,
attribute_names=attribute_names,
with_for_update=with_for_update,
auto_commit=auto_commit,
auto_expunge=auto_expunge,
auto_refresh=auto_refresh,
error_messages=error_messages,
load=load,
execution_options=execution_options,
uniquify=self._get_uniquify(uniquify),
**validated_model.to_dict(),
),
)
async def delete(
self,
item_id: Any,
*,
auto_commit: Optional[bool] = None,
auto_expunge: Optional[bool] = None,
id_attribute: Optional[Union[str, InstrumentedAttribute[Any]]] = None,
error_messages: Union[ErrorMessages, None, EmptyType] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
) -> ModelT:
"""Wrap repository delete operation.
Args:
item_id: Identifier of instance to be deleted.
auto_commit: Commit objects before returning.
auto_expunge: Remove object from session before returning.
id_attribute: Allows customization of the unique identifier to use for model fetching.
Defaults to `id`, but can reference any surrogate or candidate key for the table.
error_messages: An optional dictionary of templates to use
for friendlier error messages to clients
load: Set default relationships to be loaded
execution_options: Set default execution options
uniquify: Optionally apply the ``unique()`` method to results before returning.
Returns:
Representation of the deleted instance.
"""
return cast(
"ModelT",
await self.repository.delete(
item_id=item_id,
auto_commit=auto_commit,
auto_expunge=auto_expunge,
id_attribute=id_attribute,
error_messages=error_messages,
load=load,
execution_options=execution_options,
uniquify=self._get_uniquify(uniquify),
),
)
async def delete_many(
self,
item_ids: list[Any],
*,
auto_commit: Optional[bool] = None,
auto_expunge: Optional[bool] = None,
id_attribute: Optional[Union[str, InstrumentedAttribute[Any]]] = None,
chunk_size: Optional[int] = None,
error_messages: Union[ErrorMessages, None, EmptyType] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
) -> Sequence[ModelT]:
"""Wrap repository bulk instance deletion.
Args:
item_ids: Identifier of instance to be deleted.
auto_expunge: Remove object from session before returning.
auto_commit: Commit objects before returning.
id_attribute: Allows customization of the unique identifier to use for model fetching.
Defaults to `id`, but can reference any surrogate or candidate key for the table.
chunk_size: Allows customization of the ``insertmanyvalues_max_parameters`` setting for the driver.
Defaults to `950` if left unset.
error_messages: An optional dictionary of templates to use
for friendlier error messages to clients
load: Set default relationships to be loaded
execution_options: Set default execution options
uniquify: Optionally apply the ``unique()`` method to results before returning.
Returns:
Representation of removed instances.
"""
return cast(
"Sequence[ModelT]",
await self.repository.delete_many(
item_ids=item_ids,
auto_commit=auto_commit,
auto_expunge=auto_expunge,
id_attribute=id_attribute,
chunk_size=chunk_size,
error_messages=error_messages,
load=load,
execution_options=execution_options,
uniquify=self._get_uniquify(uniquify),
),
)
async def delete_where(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
auto_commit: Optional[bool] = None,
auto_expunge: Optional[bool] = None,
error_messages: Union[ErrorMessages, None, EmptyType] = Empty,
sanity_check: bool = True,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
**kwargs: Any,
) -> Sequence[ModelT]:
"""Wrap repository scalars operation.
Args:
*filters: Types for specific filtering operations.
auto_expunge: Remove object from session before returning.
auto_commit: Commit objects before returning.
error_messages: An optional dictionary of templates to use
for friendlier error messages to clients
sanity_check: When true, the length of selected instances is compared to the deleted row count
load: Set default relationships to be loaded
execution_options: Set default execution options
uniquify: Optionally apply the ``unique()`` method to results before returning.
**kwargs: Instance attribute value filters.
Returns:
The list of instances deleted from the repository.
"""
return cast(
"Sequence[ModelT]",
await self.repository.delete_where(
*filters,
auto_commit=auto_commit,
auto_expunge=auto_expunge,
error_messages=error_messages,
sanity_check=sanity_check,
load=load,
execution_options=execution_options,
uniquify=self._get_uniquify(uniquify),
**kwargs,
),
)
python-advanced-alchemy-0.34.0/advanced_alchemy/service/_sync.py 0000664 0000000 0000000 00000134424 14763441450 0024716 0 ustar 00root root 0000000 0000000 # Do not edit this file directly. It has been autogenerated from
# advanced_alchemy/service/_async.py
"""Service object implementation for SQLAlchemy.
RepositoryService object is generic on the domain model type which
should be a SQLAlchemy model.
"""
from collections.abc import Iterable, Iterator, Sequence
from contextlib import contextmanager
from functools import cached_property
from typing import Any, ClassVar, Generic, Optional, Union, cast
from sqlalchemy import Select
from sqlalchemy.orm import InstrumentedAttribute, Session
from sqlalchemy.orm.scoping import scoped_session
from sqlalchemy.sql import ColumnElement
from typing_extensions import Self
from advanced_alchemy.config.sync import SQLAlchemySyncConfig
from advanced_alchemy.exceptions import AdvancedAlchemyError, ErrorMessages, ImproperConfigurationError, RepositoryError
from advanced_alchemy.filters import StatementFilter
from advanced_alchemy.repository import SQLAlchemySyncQueryRepository
from advanced_alchemy.repository._util import LoadSpec, model_from_dict
from advanced_alchemy.repository.typing import ModelT, OrderingPair, SQLAlchemySyncRepositoryT
from advanced_alchemy.service._util import ResultConverter
from advanced_alchemy.service.typing import (
BulkModelDictT,
ModelDictListT,
ModelDictT,
is_dict,
is_dto_data,
is_msgspec_struct,
is_pydantic_model,
)
from advanced_alchemy.utils.dataclass import Empty, EmptyType
class SQLAlchemySyncQueryService(ResultConverter):
"""Simple service to execute the basic Query repository.."""
def __init__(
self,
session: Union[Session, scoped_session[Session]],
**repo_kwargs: Any,
) -> None:
"""Configure the service object.
Args:
session: Session managing the unit-of-work for the operation.
**repo_kwargs: Optional configuration values to pass into the repository
"""
self.repository = SQLAlchemySyncQueryRepository(
session=session,
**repo_kwargs,
)
@classmethod
@contextmanager
def new(
cls,
session: Optional[Union[Session, scoped_session[Session]]] = None,
config: Optional[SQLAlchemySyncConfig] = None,
) -> Iterator[Self]:
"""Context manager that returns instance of service object.
Handles construction of the database session._create_select_for_model
Returns:
The service object instance.
"""
if not config and not session:
raise AdvancedAlchemyError(detail="Please supply an optional configuration or session to use.")
if session:
yield cls(session=session)
elif config:
with config.get_session() as db_session:
yield cls(session=db_session)
class SQLAlchemySyncRepositoryReadService(ResultConverter, Generic[ModelT, SQLAlchemySyncRepositoryT]):
"""Service object that operates on a repository object."""
repository_type: type[SQLAlchemySyncRepositoryT]
"""Type of the repository to use."""
loader_options: ClassVar[Optional[LoadSpec]] = None
"""Default loader options for the repository."""
execution_options: ClassVar[Optional[dict[str, Any]]] = None
"""Default execution options for the repository."""
match_fields: ClassVar[Optional[Union[list[str], str]]] = None
"""List of dialects that prefer to use ``field.id = ANY(:1)`` instead of ``field.id IN (...)``."""
uniquify: ClassVar[bool] = False
"""Optionally apply the ``unique()`` method to results before returning."""
count_with_window_function: ClassVar[bool] = True
"""Use an analytical window function to count results. This allows the count to be performed in a single query."""
_repository_instance: SQLAlchemySyncRepositoryT
def __init__(
self,
session: Union[Session, scoped_session[Session]],
*,
statement: Optional[Select[Any]] = None,
auto_expunge: bool = False,
auto_refresh: bool = True,
auto_commit: bool = False,
order_by: Optional[Union[list[OrderingPair], OrderingPair]] = None,
error_messages: Union[ErrorMessages, None, EmptyType] = Empty,
wrap_exceptions: bool = True,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
count_with_window_function: Optional[bool] = None,
**repo_kwargs: Any,
) -> None:
"""Configure the service object.
Args:
session: Session managing the unit-of-work for the operation.
statement: To facilitate customization of the underlying select query.
auto_expunge: Remove object from session before returning.
auto_refresh: Refresh object from session before returning.
auto_commit: Commit objects before returning.
order_by: Set default order options for queries.
error_messages: A set of custom error messages to use for operations
wrap_exceptions: Wrap exceptions in a RepositoryError
load: Set default relationships to be loaded
execution_options: Set default execution options
uniquify: Optionally apply the ``unique()`` method to results before returning.
count_with_window_function: When false, list and count will use two queries instead of an analytical window function.
**repo_kwargs: passed as keyword args to repo instantiation.
"""
load = load if load is not None else self.loader_options
execution_options = execution_options if execution_options is not None else self.execution_options
count_with_window_function = (
count_with_window_function if count_with_window_function is not None else self.count_with_window_function
)
self._repository_instance: SQLAlchemySyncRepositoryT = self.repository_type( # type: ignore[assignment]
session=session,
statement=statement,
auto_expunge=auto_expunge,
auto_refresh=auto_refresh,
auto_commit=auto_commit,
order_by=order_by,
error_messages=error_messages,
wrap_exceptions=wrap_exceptions,
load=load,
execution_options=execution_options,
uniquify=self._get_uniquify(uniquify),
count_with_window_function=count_with_window_function,
**repo_kwargs,
)
def _get_uniquify(self, uniquify: Optional[bool] = None) -> bool:
return bool(uniquify or self.uniquify)
@property
def repository(self) -> SQLAlchemySyncRepositoryT:
"""Return the repository instance."""
if not self._repository_instance:
msg = "Repository not initialized"
raise ImproperConfigurationError(msg)
return self._repository_instance
@cached_property
def model_type(self) -> type[ModelT]:
"""Return the model type."""
return cast("type[ModelT]", self.repository.model_type)
def count(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
statement: Optional[Select[tuple[ModelT]]] = None,
error_messages: Union[ErrorMessages, None, EmptyType] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
**kwargs: Any,
) -> int:
"""Count of records returned by query.
Args:
*filters: arguments for filtering.
statement: To facilitate customization of the underlying select query.
error_messages: An optional dictionary of templates to use
for friendlier error messages to clients
load: Set relationships to be loaded
execution_options: Set default execution options
uniquify: Optionally apply the ``unique()`` method to results before returning.
**kwargs: key value pairs of filter types.
Returns:
A count of the collection, filtered, but ignoring pagination.
"""
return self.repository.count(
*filters,
statement=statement,
error_messages=error_messages,
load=load,
execution_options=execution_options,
uniquify=self._get_uniquify(uniquify),
**kwargs,
)
def exists(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
error_messages: Union[ErrorMessages, None, EmptyType] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
**kwargs: Any,
) -> bool:
"""Wrap repository exists operation.
Args:
*filters: Types for specific filtering operations.
error_messages: An optional dictionary of templates to use
for friendlier error messages to clients
load: Set relationships to be loaded
execution_options: Set default execution options
uniquify: Optionally apply the ``unique()`` method to results before returning.
**kwargs: Keyword arguments for attribute based filtering.
Returns:
Representation of instance with identifier `item_id`.
"""
return self.repository.exists(
*filters,
error_messages=error_messages,
load=load,
execution_options=execution_options,
uniquify=self._get_uniquify(uniquify),
**kwargs,
)
def get(
self,
item_id: Any,
*,
statement: Optional[Select[tuple[ModelT]]] = None,
id_attribute: Optional[Union[str, InstrumentedAttribute[Any]]] = None,
auto_expunge: Optional[bool] = None,
error_messages: Union[ErrorMessages, None, EmptyType] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
) -> ModelT:
"""Wrap repository scalar operation.
Args:
item_id: Identifier of instance to be retrieved.
auto_expunge: Remove object from session before returning.
statement: To facilitate customization of the underlying select query.
id_attribute: Allows customization of the unique identifier to use for model fetching.
Defaults to `id`, but can reference any surrogate or candidate key for the table.
error_messages: An optional dictionary of templates to use
for friendlier error messages to clients
load: Set relationships to be loaded
execution_options: Set default execution options
uniquify: Optionally apply the ``unique()`` method to results before returning.
Returns:
Representation of instance with identifier `item_id`.
"""
return cast(
"ModelT",
self.repository.get(
item_id=item_id,
auto_expunge=auto_expunge,
statement=statement,
id_attribute=id_attribute,
error_messages=error_messages,
load=load,
execution_options=execution_options,
uniquify=self._get_uniquify(uniquify),
),
)
def get_one(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
statement: Optional[Select[tuple[ModelT]]] = None,
auto_expunge: Optional[bool] = None,
load: Optional[LoadSpec] = None,
error_messages: Union[ErrorMessages, None, EmptyType] = Empty,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
**kwargs: Any,
) -> ModelT:
"""Wrap repository scalar operation.
Args:
*filters: Types for specific filtering operations.
auto_expunge: Remove object from session before returning.
statement: To facilitate customization of the underlying select query.
error_messages: An optional dictionary of templates to use
for friendlier error messages to clients
load: Set default relationships to be loaded
execution_options: Set default execution options
uniquify: Optionally apply the ``unique()`` method to results before returning.
**kwargs: Identifier of the instance to be retrieved.
Returns:
Representation of instance with identifier `item_id`.
"""
return cast(
"ModelT",
self.repository.get_one(
*filters,
auto_expunge=auto_expunge,
statement=statement,
error_messages=error_messages,
load=load,
execution_options=execution_options,
uniquify=self._get_uniquify(uniquify),
**kwargs,
),
)
def get_one_or_none(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
statement: Optional[Select[tuple[ModelT]]] = None,
auto_expunge: Optional[bool] = None,
error_messages: Union[ErrorMessages, None, EmptyType] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
**kwargs: Any,
) -> Optional[ModelT]:
"""Wrap repository scalar operation.
Args:
*filters: Types for specific filtering operations.
auto_expunge: Remove object from session before returning.
statement: To facilitate customization of the underlying select query.
error_messages: An optional dictionary of templates to use
for friendlier error messages to clients
load: Set default relationships to be loaded
execution_options: Set default execution options
uniquify: Optionally apply the ``unique()`` method to results before returning.
**kwargs: Identifier of the instance to be retrieved.
Returns:
Representation of instance with identifier `item_id`.
"""
return cast(
"Optional[ModelT]",
self.repository.get_one_or_none(
*filters,
auto_expunge=auto_expunge,
statement=statement,
error_messages=error_messages,
load=load,
execution_options=execution_options,
uniquify=self._get_uniquify(uniquify),
**kwargs,
),
)
def to_model_on_create(self, data: "ModelDictT[ModelT]") -> "ModelDictT[ModelT]":
"""Convenience method to allow for custom behavior on create.
Args:
data: The data to be converted to a model.
Returns:
The data to be converted to a model.
"""
return data
def to_model_on_update(self, data: "ModelDictT[ModelT]") -> "ModelDictT[ModelT]":
"""Convenience method to allow for custom behavior on update.
Args:
data: The data to be converted to a model.
Returns:
The data to be converted to a model.
"""
return data
def to_model_on_delete(self, data: "ModelDictT[ModelT]") -> "ModelDictT[ModelT]":
"""Convenience method to allow for custom behavior on delete.
Args:
data: The data to be converted to a model.
Returns:
The data to be converted to a model.
"""
return data
def to_model_on_upsert(self, data: "ModelDictT[ModelT]") -> "ModelDictT[ModelT]":
"""Convenience method to allow for custom behavior on upsert.
Args:
data: The data to be converted to a model.
Returns:
The data to be converted to a model.
"""
return data
def to_model(
self,
data: "ModelDictT[ModelT]",
operation: Optional[str] = None,
) -> ModelT:
"""Parse and Convert input into a model.
Args:
data: Representations to be created.
operation: Optional operation flag so that you can provide behavior based on CRUD operation
Returns:
Representation of created instances.
"""
operation_map = {
"create": self.to_model_on_create,
"update": self.to_model_on_update,
"delete": self.to_model_on_delete,
"upsert": self.to_model_on_upsert,
}
if operation and (op := operation_map.get(operation)):
data = op(data)
if is_dict(data):
return model_from_dict(model=self.model_type, **data)
if is_pydantic_model(data):
return model_from_dict(
model=self.model_type,
**data.model_dump(exclude_unset=True),
)
if is_msgspec_struct(data):
from msgspec import UNSET
return model_from_dict(
model=self.model_type,
**{f: val for f in data.__struct_fields__ if (val := getattr(data, f, None)) != UNSET},
)
if is_dto_data(data):
return cast("ModelT", data.create_instance())
return cast("ModelT", data)
def list_and_count(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
statement: Optional[Select[tuple[ModelT]]] = None,
auto_expunge: Optional[bool] = None,
count_with_window_function: Optional[bool] = None,
order_by: Optional[Union[list[OrderingPair], OrderingPair]] = None,
error_messages: Union[ErrorMessages, None, EmptyType] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
**kwargs: Any,
) -> tuple[Sequence[ModelT], int]:
"""List of records and total count returned by query.
Args:
*filters: Types for specific filtering operations.
statement: To facilitate customization of the underlying select query.
auto_expunge: Remove object from session before returning.
count_with_window_function: When false, list and count will use two queries instead of an analytical window function.
order_by: Set default order options for queries.
error_messages: An optional dictionary of templates to use
for friendlier error messages to clients
load: Set relationships to be loaded
execution_options: Set default execution options
uniquify: Optionally apply the ``unique()`` method to results before returning.
**kwargs: Instance attribute value filters.
Returns:
List of instances and count of total collection, ignoring pagination.
"""
return cast(
"tuple[Sequence[ModelT], int]",
self.repository.list_and_count(
*filters,
statement=statement,
auto_expunge=auto_expunge,
count_with_window_function=count_with_window_function,
order_by=order_by,
error_messages=error_messages,
load=load,
execution_options=execution_options,
uniquify=self._get_uniquify(uniquify),
**kwargs,
),
)
@classmethod
@contextmanager
def new(
cls,
session: Optional[Union[Session, scoped_session[Session]]] = None,
statement: Optional[Select[tuple[ModelT]]] = None,
config: Optional[SQLAlchemySyncConfig] = None,
error_messages: Union[ErrorMessages, None, EmptyType] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
count_with_window_function: Optional[bool] = None,
) -> Iterator[Self]:
"""Context manager that returns instance of service object.
Handles construction of the database session._create_select_for_model
Returns:
The service object instance.
"""
if not config and not session:
raise AdvancedAlchemyError(detail="Please supply an optional configuration or session to use.")
if session:
yield cls(
statement=statement,
session=session,
error_messages=error_messages,
load=load,
execution_options=execution_options,
uniquify=uniquify,
count_with_window_function=count_with_window_function,
)
elif config:
with config.get_session() as db_session:
yield cls(
statement=statement,
session=db_session,
error_messages=error_messages,
load=load,
execution_options=execution_options,
uniquify=uniquify,
count_with_window_function=count_with_window_function,
)
def list(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
statement: Optional[Select[tuple[ModelT]]] = None,
auto_expunge: Optional[bool] = None,
order_by: Optional[Union[list[OrderingPair], OrderingPair]] = None,
error_messages: Union[ErrorMessages, None, EmptyType] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
**kwargs: Any,
) -> Sequence[ModelT]:
"""Wrap repository scalars operation.
Args:
*filters: Types for specific filtering operations.
auto_expunge: Remove object from session before returning.
statement: To facilitate customization of the underlying select query.
order_by: Set default order options for queries.
error_messages: An optional dictionary of templates to use
for friendlier error messages to clients
load: Set default relationships to be loaded
execution_options: Set default execution options
uniquify: Optionally apply the ``unique()`` method to results before returning.
**kwargs: Instance attribute value filters.
Returns:
The list of instances retrieved from the repository.
"""
return cast(
"Sequence[ModelT]",
self.repository.list(
*filters,
statement=statement,
auto_expunge=auto_expunge,
order_by=order_by,
error_messages=error_messages,
load=load,
execution_options=execution_options,
uniquify=self._get_uniquify(uniquify),
**kwargs,
),
)
class SQLAlchemySyncRepositoryService(
SQLAlchemySyncRepositoryReadService[ModelT, SQLAlchemySyncRepositoryT],
Generic[ModelT, SQLAlchemySyncRepositoryT],
):
"""Service object that operates on a repository object."""
def create(
self,
data: "ModelDictT[ModelT]",
*,
auto_commit: Optional[bool] = None,
auto_expunge: Optional[bool] = None,
auto_refresh: Optional[bool] = None,
error_messages: Union[ErrorMessages, None, EmptyType] = Empty,
) -> "ModelT":
"""Wrap repository instance creation.
Args:
data: Representation to be created.
auto_expunge: Remove object from session before returning.
auto_refresh: Refresh object from session before returning.
auto_commit: Commit objects before returning.
error_messages: An optional dictionary of templates to use
for friendlier error messages to clients
Returns:
Representation of created instance.
"""
data = self.to_model(data, "create")
return cast(
"ModelT",
self.repository.add(
data=data,
auto_commit=auto_commit,
auto_expunge=auto_expunge,
auto_refresh=auto_refresh,
error_messages=error_messages,
),
)
def create_many(
self,
data: "BulkModelDictT[ModelT]",
*,
auto_commit: Optional[bool] = None,
auto_expunge: Optional[bool] = None,
error_messages: Union[ErrorMessages, None, EmptyType] = Empty,
) -> Sequence[ModelT]:
"""Wrap repository bulk instance creation.
Args:
data: Representations to be created.
auto_expunge: Remove object from session before returning.
auto_commit: Commit objects before returning.
error_messages: An optional dictionary of templates to use
for friendlier error messages to clients
uniquify: Optionally apply the ``unique()`` method to results before returning.
Returns:
Representation of created instances.
"""
if is_dto_data(data):
data = data.create_instance()
data = [(self.to_model(datum, "create")) for datum in cast("ModelDictListT[ModelT]", data)]
return cast(
"Sequence[ModelT]",
self.repository.add_many(
data=cast("list[ModelT]", data), # pyright: ignore[reportUnnecessaryCast]
auto_commit=auto_commit,
auto_expunge=auto_expunge,
error_messages=error_messages,
),
)
def update(
self,
data: "ModelDictT[ModelT]",
item_id: Optional[Any] = None,
*,
attribute_names: Optional[Iterable[str]] = None,
with_for_update: Optional[bool] = None,
auto_commit: Optional[bool] = None,
auto_expunge: Optional[bool] = None,
auto_refresh: Optional[bool] = None,
id_attribute: Optional[Union[str, InstrumentedAttribute[Any]]] = None,
error_messages: Union[ErrorMessages, None, EmptyType] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
) -> "ModelT":
"""Wrap repository update operation.
Args:
data: Representation to be updated.
item_id: Identifier of item to be updated.
attribute_names: an iterable of attribute names to pass into the ``update``
method.
with_for_update: indicating FOR UPDATE should be used, or may be a
dictionary containing flags to indicate a more specific set of
FOR UPDATE flags for the SELECT
auto_expunge: Remove object from session before returning.
auto_refresh: Refresh object from session before returning.
auto_commit: Commit objects before returning.
id_attribute: Allows customization of the unique identifier to use for model fetching.
Defaults to `id`, but can reference any surrogate or candidate key for the table.
error_messages: An optional dictionary of templates to use
for friendlier error messages to clients
load: Set default relationships to be loaded
execution_options: Set default execution options
uniquify: Optionally apply the ``unique()`` method to results before returning.
Returns:
Updated representation.
"""
data = self.to_model(data, "update")
if (
item_id is None
and self.repository.get_id_attribute_value( # pyright: ignore[reportUnknownMemberType]
item=data,
id_attribute=id_attribute,
)
is None
):
msg = (
"Could not identify ID attribute value. One of the following is required: "
f"``item_id`` or ``data.{id_attribute or self.repository.id_attribute}``"
)
raise RepositoryError(msg)
if item_id is not None:
data = self.repository.set_id_attribute_value(item_id=item_id, item=data, id_attribute=id_attribute) # pyright: ignore[reportUnknownMemberType]
return cast(
"ModelT",
self.repository.update(
data=data,
attribute_names=attribute_names,
with_for_update=with_for_update,
auto_commit=auto_commit,
auto_expunge=auto_expunge,
auto_refresh=auto_refresh,
id_attribute=id_attribute,
error_messages=error_messages,
load=load,
execution_options=execution_options,
uniquify=self._get_uniquify(uniquify),
),
)
def update_many(
self,
data: "BulkModelDictT[ModelT]",
*,
auto_commit: Optional[bool] = None,
auto_expunge: Optional[bool] = None,
error_messages: Union[ErrorMessages, None, EmptyType] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
) -> Sequence[ModelT]:
"""Wrap repository bulk instance update.
Args:
data: Representations to be updated.
auto_expunge: Remove object from session before returning.
auto_commit: Commit objects before returning.
error_messages: An optional dictionary of templates to use
for friendlier error messages to clients
load: Set default relationships to be loaded
execution_options: Set default execution options
uniquify: Optionally apply the ``unique()`` method to results before returning.
Returns:
Representation of updated instances.
"""
if is_dto_data(data):
data = data.create_instance()
data = [(self.to_model(datum, "update")) for datum in cast("ModelDictListT[ModelT]", data)]
return cast(
"Sequence[ModelT]",
self.repository.update_many(
cast("list[ModelT]", data), # pyright: ignore[reportUnnecessaryCast]
auto_commit=auto_commit,
auto_expunge=auto_expunge,
error_messages=error_messages,
load=load,
execution_options=execution_options,
uniquify=self._get_uniquify(uniquify),
),
)
def upsert(
self,
data: "ModelDictT[ModelT]",
item_id: Optional[Any] = None,
*,
attribute_names: Optional[Iterable[str]] = None,
with_for_update: Optional[bool] = None,
auto_expunge: Optional[bool] = None,
auto_commit: Optional[bool] = None,
auto_refresh: Optional[bool] = None,
match_fields: Optional[Union[list[str], str]] = None,
error_messages: Union[ErrorMessages, None, EmptyType] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
) -> ModelT:
"""Wrap repository upsert operation.
Args:
data: Instance to update existing, or be created. Identifier used to determine if an
existing instance exists is the value of an attribute on `data` named as value of
`self.id_attribute`.
item_id: Identifier of the object for upsert.
attribute_names: an iterable of attribute names to pass into the ``update`` method.
with_for_update: indicating FOR UPDATE should be used, or may be a
dictionary containing flags to indicate a more specific set of
FOR UPDATE flags for the SELECT
auto_expunge: Remove object from session before returning.
auto_refresh: Refresh object from session before returning.
auto_commit: Commit objects before returning.
match_fields: a list of keys to use to match the existing model. When
empty, all fields are matched.
error_messages: An optional dictionary of templates to use
for friendlier error messages to clients
load: Set default relationships to be loaded
execution_options: Set default execution options
uniquify: Optionally apply the ``unique()`` method to results before returning.
Returns:
Updated or created representation.
"""
data = self.to_model(data, "upsert")
item_id = item_id if item_id is not None else self.repository.get_id_attribute_value(item=data) # pyright: ignore[reportUnknownMemberType]
if item_id is not None:
self.repository.set_id_attribute_value(item_id, data) # pyright: ignore[reportUnknownMemberType]
return cast(
"ModelT",
self.repository.upsert(
data=data,
attribute_names=attribute_names,
with_for_update=with_for_update,
auto_expunge=auto_expunge,
auto_commit=auto_commit,
auto_refresh=auto_refresh,
match_fields=match_fields,
error_messages=error_messages,
load=load,
execution_options=execution_options,
uniquify=self._get_uniquify(uniquify),
),
)
def upsert_many(
self,
data: "BulkModelDictT[ModelT]",
*,
auto_expunge: Optional[bool] = None,
auto_commit: Optional[bool] = None,
no_merge: bool = False,
match_fields: Optional[Union[list[str], str]] = None,
error_messages: Union[ErrorMessages, None, EmptyType] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
) -> Sequence[ModelT]:
"""Wrap repository upsert operation.
Args:
data: Instance to update existing, or be created.
auto_expunge: Remove object from session before returning.
auto_commit: Commit objects before returning.
no_merge: Skip the usage of optimized Merge statements (**reserved for future use**)
match_fields: a list of keys to use to match the existing model. When
empty, all fields are matched.
error_messages: An optional dictionary of templates to use
for friendlier error messages to clients
load: Set default relationships to be loaded
execution_options: Set default execution options
uniquify: Optionally apply the ``unique()`` method to results before returning.
Returns:
Updated or created representation.
"""
if is_dto_data(data):
data = data.create_instance()
data = [(self.to_model(datum, "upsert")) for datum in cast("ModelDictListT[ModelT]", data)]
return cast(
"Sequence[ModelT]",
self.repository.upsert_many(
data=cast("list[ModelT]", data), # pyright: ignore[reportUnnecessaryCast]
auto_expunge=auto_expunge,
auto_commit=auto_commit,
no_merge=no_merge,
match_fields=match_fields,
error_messages=error_messages,
load=load,
execution_options=execution_options,
uniquify=self._get_uniquify(uniquify),
),
)
def get_or_upsert(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
match_fields: Optional[Union[list[str], str]] = None,
upsert: bool = True,
attribute_names: Optional[Iterable[str]] = None,
with_for_update: Optional[bool] = None,
auto_commit: Optional[bool] = None,
auto_expunge: Optional[bool] = None,
auto_refresh: Optional[bool] = None,
error_messages: Union[ErrorMessages, None, EmptyType] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
**kwargs: Any,
) -> tuple[ModelT, bool]:
"""Wrap repository instance creation.
Args:
*filters: Types for specific filtering operations.
match_fields: a list of keys to use to match the existing model. When
empty, all fields are matched.
upsert: When using match_fields and actual model values differ from
`kwargs`, perform an update operation on the model.
create: Should a model be created. If no model is found, an exception is raised.
attribute_names: an iterable of attribute names to pass into the ``update``
method.
with_for_update: indicating FOR UPDATE should be used, or may be a
dictionary containing flags to indicate a more specific set of
FOR UPDATE flags for the SELECT
auto_expunge: Remove object from session before returning.
auto_refresh: Refresh object from session before returning.
auto_commit: Commit objects before returning.
error_messages: An optional dictionary of templates to use
for friendlier error messages to clients
load: Set default relationships to be loaded
execution_options: Set default execution options
uniquify: Optionally apply the ``unique()`` method to results before returning.
**kwargs: Identifier of the instance to be retrieved.
Returns:
Representation of created instance.
"""
match_fields = match_fields or self.match_fields
validated_model = self.to_model(kwargs, "create")
return cast(
"tuple[ModelT, bool]",
self.repository.get_or_upsert(
*filters,
match_fields=match_fields,
upsert=upsert,
attribute_names=attribute_names,
with_for_update=with_for_update,
auto_commit=auto_commit,
auto_expunge=auto_expunge,
auto_refresh=auto_refresh,
error_messages=error_messages,
load=load,
execution_options=execution_options,
uniquify=self._get_uniquify(uniquify),
**validated_model.to_dict(),
),
)
def get_and_update(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
match_fields: Optional[Union[list[str], str]] = None,
attribute_names: Optional[Iterable[str]] = None,
with_for_update: Optional[bool] = None,
auto_commit: Optional[bool] = None,
auto_expunge: Optional[bool] = None,
auto_refresh: Optional[bool] = None,
error_messages: Union[ErrorMessages, None, EmptyType] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
**kwargs: Any,
) -> tuple[ModelT, bool]:
"""Wrap repository instance creation.
Args:
*filters: Types for specific filtering operations.
match_fields: a list of keys to use to match the existing model. When
empty, all fields are matched.
attribute_names: an iterable of attribute names to pass into the ``update``
method.
with_for_update: indicating FOR UPDATE should be used, or may be a
dictionary containing flags to indicate a more specific set of
FOR UPDATE flags for the SELECT
auto_expunge: Remove object from session before returning.
auto_refresh: Refresh object from session before returning.
auto_commit: Commit objects before returning.
error_messages: An optional dictionary of templates to use
for friendlier error messages to clients
load: Set default relationships to be loaded
execution_options: Set default execution options
uniquify: Optionally apply the ``unique()`` method to results before returning.
**kwargs: Identifier of the instance to be retrieved.
Returns:
Representation of updated instance.
"""
match_fields = match_fields or self.match_fields
validated_model = self.to_model(kwargs, "update")
return cast(
"tuple[ModelT, bool]",
self.repository.get_and_update(
*filters,
match_fields=match_fields,
attribute_names=attribute_names,
with_for_update=with_for_update,
auto_commit=auto_commit,
auto_expunge=auto_expunge,
auto_refresh=auto_refresh,
error_messages=error_messages,
load=load,
execution_options=execution_options,
uniquify=self._get_uniquify(uniquify),
**validated_model.to_dict(),
),
)
def delete(
self,
item_id: Any,
*,
auto_commit: Optional[bool] = None,
auto_expunge: Optional[bool] = None,
id_attribute: Optional[Union[str, InstrumentedAttribute[Any]]] = None,
error_messages: Union[ErrorMessages, None, EmptyType] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
) -> ModelT:
"""Wrap repository delete operation.
Args:
item_id: Identifier of instance to be deleted.
auto_commit: Commit objects before returning.
auto_expunge: Remove object from session before returning.
id_attribute: Allows customization of the unique identifier to use for model fetching.
Defaults to `id`, but can reference any surrogate or candidate key for the table.
error_messages: An optional dictionary of templates to use
for friendlier error messages to clients
load: Set default relationships to be loaded
execution_options: Set default execution options
uniquify: Optionally apply the ``unique()`` method to results before returning.
Returns:
Representation of the deleted instance.
"""
return cast(
"ModelT",
self.repository.delete(
item_id=item_id,
auto_commit=auto_commit,
auto_expunge=auto_expunge,
id_attribute=id_attribute,
error_messages=error_messages,
load=load,
execution_options=execution_options,
uniquify=self._get_uniquify(uniquify),
),
)
def delete_many(
self,
item_ids: list[Any],
*,
auto_commit: Optional[bool] = None,
auto_expunge: Optional[bool] = None,
id_attribute: Optional[Union[str, InstrumentedAttribute[Any]]] = None,
chunk_size: Optional[int] = None,
error_messages: Union[ErrorMessages, None, EmptyType] = Empty,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
) -> Sequence[ModelT]:
"""Wrap repository bulk instance deletion.
Args:
item_ids: Identifier of instance to be deleted.
auto_expunge: Remove object from session before returning.
auto_commit: Commit objects before returning.
id_attribute: Allows customization of the unique identifier to use for model fetching.
Defaults to `id`, but can reference any surrogate or candidate key for the table.
chunk_size: Allows customization of the ``insertmanyvalues_max_parameters`` setting for the driver.
Defaults to `950` if left unset.
error_messages: An optional dictionary of templates to use
for friendlier error messages to clients
load: Set default relationships to be loaded
execution_options: Set default execution options
uniquify: Optionally apply the ``unique()`` method to results before returning.
Returns:
Representation of removed instances.
"""
return cast(
"Sequence[ModelT]",
self.repository.delete_many(
item_ids=item_ids,
auto_commit=auto_commit,
auto_expunge=auto_expunge,
id_attribute=id_attribute,
chunk_size=chunk_size,
error_messages=error_messages,
load=load,
execution_options=execution_options,
uniquify=self._get_uniquify(uniquify),
),
)
def delete_where(
self,
*filters: Union[StatementFilter, ColumnElement[bool]],
auto_commit: Optional[bool] = None,
auto_expunge: Optional[bool] = None,
error_messages: Union[ErrorMessages, None, EmptyType] = Empty,
sanity_check: bool = True,
load: Optional[LoadSpec] = None,
execution_options: Optional[dict[str, Any]] = None,
uniquify: Optional[bool] = None,
**kwargs: Any,
) -> Sequence[ModelT]:
"""Wrap repository scalars operation.
Args:
*filters: Types for specific filtering operations.
auto_expunge: Remove object from session before returning.
auto_commit: Commit objects before returning.
error_messages: An optional dictionary of templates to use
for friendlier error messages to clients
sanity_check: When true, the length of selected instances is compared to the deleted row count
load: Set default relationships to be loaded
execution_options: Set default execution options
uniquify: Optionally apply the ``unique()`` method to results before returning.
**kwargs: Instance attribute value filters.
Returns:
The list of instances deleted from the repository.
"""
return cast(
"Sequence[ModelT]",
self.repository.delete_where(
*filters,
auto_commit=auto_commit,
auto_expunge=auto_expunge,
error_messages=error_messages,
sanity_check=sanity_check,
load=load,
execution_options=execution_options,
uniquify=self._get_uniquify(uniquify),
**kwargs,
),
)
python-advanced-alchemy-0.34.0/advanced_alchemy/service/_typing.py 0000664 0000000 0000000 00000007425 14763441450 0025254 0 ustar 00root root 0000000 0000000 """This is a simple wrapper around a few important classes in each library.
This is used to ensure compatibility when one or more of the libraries are installed.
"""
from typing import (
Any,
ClassVar,
Optional,
Protocol,
cast,
runtime_checkable,
)
from typing_extensions import TypeVar, dataclass_transform
T = TypeVar("T")
T_co = TypeVar("T_co", covariant=True)
try:
from pydantic import BaseModel, FailFast, TypeAdapter # pyright: ignore[reportGeneralTypeIssues]
PYDANTIC_INSTALLED = True
except ImportError:
@runtime_checkable
class BaseModel(Protocol): # type: ignore[no-redef]
"""Placeholder Implementation"""
model_fields: "ClassVar[dict[str, Any]]"
def model_dump(self, *args: Any, **kwargs: Any) -> "dict[str, Any]":
"""Placeholder"""
return {}
@runtime_checkable
class TypeAdapter(Protocol[T_co]): # type: ignore[no-redef]
"""Placeholder Implementation"""
def __init__(
self,
type: Any, # noqa: A002
*,
config: "Optional[Any]" = None,
_parent_depth: int = 2,
module: "Optional[str]" = None,
) -> None:
"""Init"""
def validate_python(
self,
object: Any, # noqa: A002
/,
*,
strict: "Optional[bool]" = None,
from_attributes: "Optional[bool]" = None,
context: "Optional[dict[str, Any]]" = None,
) -> T_co:
"""Stub"""
return cast("T_co", object)
@runtime_checkable
class FailFast(Protocol): # type: ignore[no-redef]
"""Placeholder Implementation for FailFast"""
def __init__(self, *args: Any, **kwargs: Any) -> None:
"""Init"""
PYDANTIC_INSTALLED = False # pyright: ignore[reportConstantRedefinition]
try:
from msgspec import (
UNSET,
Struct,
UnsetType, # pyright: ignore[reportAssignmentType,reportGeneralTypeIssues]
convert, # pyright: ignore[reportGeneralTypeIssues]
)
MSGSPEC_INSTALLED: bool = True
except ImportError:
import enum
@dataclass_transform()
@runtime_checkable
class Struct(Protocol): # type: ignore[no-redef]
"""Placeholder Implementation"""
__struct_fields__: "ClassVar[tuple[str, ...]]"
def convert(*args: Any, **kwargs: Any) -> Any: # type: ignore[no-redef] # noqa: ARG001
"""Placeholder implementation"""
return {}
class UnsetType(enum.Enum): # type: ignore[no-redef]
UNSET = "UNSET"
UNSET = UnsetType.UNSET # pyright: ignore[reportConstantRedefinition]
MSGSPEC_INSTALLED = False # pyright: ignore[reportConstantRedefinition]
try:
from litestar.dto.data_structures import DTOData
LITESTAR_INSTALLED = True
except ImportError:
@runtime_checkable
class DTOData(Protocol[T]): # type: ignore[no-redef]
"""Placeholder implementation"""
__slots__ = ("_backend", "_data_as_builtins")
def __init__(self, backend: Any, data_as_builtins: Any) -> None:
"""Placeholder init"""
def create_instance(self, **kwargs: Any) -> T:
"""Placeholder implementation"""
return cast("T", kwargs)
def update_instance(self, instance: T, **kwargs: Any) -> T:
"""Placeholder implementation"""
return cast("T", kwargs)
def as_builtins(self) -> Any:
"""Placeholder implementation"""
return {}
LITESTAR_INSTALLED = False # pyright: ignore[reportConstantRedefinition]
__all__ = (
"LITESTAR_INSTALLED",
"MSGSPEC_INSTALLED",
"PYDANTIC_INSTALLED",
"UNSET",
"BaseModel",
"DTOData",
"FailFast",
"Struct",
"TypeAdapter",
"UnsetType",
"convert",
)
python-advanced-alchemy-0.34.0/advanced_alchemy/service/_util.py 0000664 0000000 0000000 00000022775 14763441450 0024724 0 ustar 00root root 0000000 0000000 """Service object implementation for SQLAlchemy.
RepositoryService object is generic on the domain model type which
should be a SQLAlchemy model.
"""
import datetime
from collections.abc import Sequence
from enum import Enum
from functools import partial
from pathlib import Path, PurePath
from typing import TYPE_CHECKING, Any, Callable, Optional, Union, cast, overload
from uuid import UUID
from advanced_alchemy.exceptions import AdvancedAlchemyError
from advanced_alchemy.filters import LimitOffset, StatementFilter
from advanced_alchemy.repository.typing import ModelOrRowMappingT
from advanced_alchemy.service.pagination import OffsetPagination
from advanced_alchemy.service.typing import (
MSGSPEC_INSTALLED,
PYDANTIC_INSTALLED,
BaseModel,
FilterTypeT,
ModelDTOT,
Struct,
convert,
get_type_adapter,
)
if TYPE_CHECKING:
from sqlalchemy import ColumnElement, RowMapping
from advanced_alchemy.base import ModelProtocol
__all__ = ("ResultConverter", "find_filter")
DEFAULT_TYPE_DECODERS = [ # pyright: ignore[reportUnknownVariableType]
(lambda x: x is UUID, lambda t, v: t(v.hex)), # pyright: ignore[reportUnknownLambdaType,reportUnknownMemberType]
(lambda x: x is datetime.datetime, lambda t, v: t(v.isoformat())), # pyright: ignore[reportUnknownLambdaType,reportUnknownMemberType]
(lambda x: x is datetime.date, lambda t, v: t(v.isoformat())), # pyright: ignore[reportUnknownLambdaType,reportUnknownMemberType]
(lambda x: x is datetime.time, lambda t, v: t(v.isoformat())), # pyright: ignore[reportUnknownLambdaType,reportUnknownMemberType]
(lambda x: x is Enum, lambda t, v: t(v.value)), # pyright: ignore[reportUnknownLambdaType,reportUnknownMemberType]
]
def _default_msgspec_deserializer(
target_type: Any,
value: Any,
type_decoders: "Union[Sequence[tuple[Callable[[Any], bool], Callable[[Any, Any], Any]]], None]" = None,
) -> Any: # pragma: no cover
"""Transform values non-natively supported by ``msgspec``
Args:
target_type: Encountered type
value: Value to coerce
type_decoders: Optional sequence of type decoders
Returns:
A ``msgspec``-supported type
"""
if isinstance(value, target_type):
return value
if type_decoders:
for predicate, decoder in type_decoders:
if predicate(target_type):
return decoder(target_type, value)
if issubclass(target_type, (Path, PurePath, UUID)):
return target_type(value)
try:
return target_type(value)
except Exception as e:
msg = f"Unsupported type: {type(value)!r}"
raise TypeError(msg) from e
def find_filter(
filter_type: type[FilterTypeT],
filters: "Union[Sequence[Union[StatementFilter, ColumnElement[bool]]], Sequence[StatementFilter]]",
) -> "Union[FilterTypeT, None]":
"""Get the filter specified by filter type from the filters.
Args:
filter_type: The type of filter to find.
filters: filter types to apply to the query
Returns:
The match filter instance or None
"""
return next(
(cast("Optional[FilterTypeT]", filter_) for filter_ in filters if isinstance(filter_, filter_type)),
None,
)
class ResultConverter:
"""Simple mixin to help convert to a paginated response model.
Single objects are transformed to the supplied schema type, and lists of objects are automatically transformed into an `OffsetPagination` response of the supplied schema type.
Args:
data: A database model instance or row mapping.
Type: :class:`~advanced_alchemy.repository.typing.ModelOrRowMappingT`
Returns:
The converted schema object.
"""
@overload
def to_schema(
self,
data: ModelOrRowMappingT,
total: "Optional[int]" = None,
filters: "Union[Sequence[Union[StatementFilter, ColumnElement[bool]]], Sequence[StatementFilter], None]" = None,
*,
schema_type: None = None,
) -> ModelOrRowMappingT: ...
@overload
def to_schema(
self,
data: "Sequence[ModelOrRowMappingT]",
total: "Optional[int]" = None,
filters: "Union[Sequence[Union[StatementFilter, ColumnElement[bool]]], Sequence[StatementFilter], None]" = None,
*,
schema_type: None = None,
) -> OffsetPagination[ModelOrRowMappingT]: ...
@overload
def to_schema(
self,
data: "Union[ModelProtocol, RowMapping]",
total: "Optional[int]" = None,
filters: "Union[Sequence[Union[StatementFilter, ColumnElement[bool]]], Sequence[StatementFilter], None]" = None,
*,
schema_type: type[ModelDTOT],
) -> ModelDTOT: ...
@overload
def to_schema(
self,
data: "Union[Sequence[ModelProtocol], Sequence[RowMapping]]",
total: "Optional[int]" = None,
filters: "Union[Sequence[Union[StatementFilter, ColumnElement[bool]]], Sequence[StatementFilter], None]" = None,
*,
schema_type: type[ModelDTOT],
) -> "OffsetPagination[ModelDTOT]": ...
def to_schema(
self,
data: "Union[ModelOrRowMappingT, Sequence[ModelOrRowMappingT], ModelProtocol, Sequence[ModelProtocol], RowMapping, Sequence[RowMapping]]",
total: "Optional[int]" = None,
filters: "Union[Sequence[Union[StatementFilter, ColumnElement[bool]]], Sequence[StatementFilter], None]" = None,
*,
schema_type: "Optional[type[ModelDTOT]]" = None,
) -> "Union[ModelOrRowMappingT, OffsetPagination[ModelOrRowMappingT], ModelDTOT, OffsetPagination[ModelDTOT]]":
"""Convert the object to a response schema.
When `schema_type` is None, the model is returned with no conversion.
Args:
data: The return from one of the service calls.
Type: :class:`~advanced_alchemy.repository.typing.ModelOrRowMappingT`
total: The total number of rows in the data.
filters: :class:`~advanced_alchemy.filters.StatementFilter`| :class:`sqlalchemy.sql.expression.ColumnElement` Collection of route filters.
schema_type: :class:`~advanced_alchemy.service.typing.ModelDTOT` Optional schema type to convert the data to
Returns:
- :class:`~advanced_alchemy.base.ModelProtocol` | :class:`sqlalchemy.orm.RowMapping` | :class:`~advanced_alchemy.service.pagination.OffsetPagination` | :class:`msgspec.Struct` | :class:`pydantic.BaseModel`
"""
if filters is None:
filters = []
if schema_type is None:
if not isinstance(data, Sequence):
return cast("ModelOrRowMappingT", data) # type: ignore[unreachable,unused-ignore]
limit_offset = find_filter(LimitOffset, filters=filters)
total = total or len(data)
limit_offset = limit_offset if limit_offset is not None else LimitOffset(limit=len(data), offset=0)
return OffsetPagination[ModelOrRowMappingT](
items=cast("Sequence[ModelOrRowMappingT]", data),
limit=limit_offset.limit,
offset=limit_offset.offset,
total=total,
)
if MSGSPEC_INSTALLED and issubclass(schema_type, Struct):
if not isinstance(data, Sequence):
return cast(
"ModelDTOT",
convert(
obj=data,
type=schema_type,
from_attributes=True,
dec_hook=partial(
_default_msgspec_deserializer,
type_decoders=DEFAULT_TYPE_DECODERS,
),
),
)
limit_offset = find_filter(LimitOffset, filters=filters)
total = total or len(data)
limit_offset = limit_offset if limit_offset is not None else LimitOffset(limit=len(data), offset=0)
return OffsetPagination[ModelDTOT](
items=convert(
obj=data,
type=list[schema_type], # type: ignore[valid-type]
from_attributes=True,
dec_hook=partial(
_default_msgspec_deserializer,
type_decoders=DEFAULT_TYPE_DECODERS,
),
),
limit=limit_offset.limit,
offset=limit_offset.offset,
total=total,
)
if PYDANTIC_INSTALLED and issubclass(schema_type, BaseModel):
if not isinstance(data, Sequence):
return cast(
"ModelDTOT",
get_type_adapter(schema_type).validate_python(data, from_attributes=True),
)
limit_offset = find_filter(LimitOffset, filters=filters)
total = total if total else len(data)
limit_offset = limit_offset if limit_offset is not None else LimitOffset(limit=len(data), offset=0)
return OffsetPagination[ModelDTOT](
items=get_type_adapter(list[schema_type]).validate_python(data, from_attributes=True), # type: ignore[valid-type] # pyright: ignore[reportUnknownArgumentType]
limit=limit_offset.limit,
offset=limit_offset.offset,
total=total,
)
if not MSGSPEC_INSTALLED and not PYDANTIC_INSTALLED:
msg = "Either Msgspec or Pydantic must be installed to use schema conversion"
raise AdvancedAlchemyError(msg)
msg = "`schema_type` should be a valid Pydantic or Msgspec schema"
raise AdvancedAlchemyError(msg)
python-advanced-alchemy-0.34.0/advanced_alchemy/service/pagination.py 0000664 0000000 0000000 00000001153 14763441450 0025724 0 ustar 00root root 0000000 0000000 from collections.abc import Sequence
from dataclasses import dataclass
from typing import Generic, TypeVar
T = TypeVar("T")
__all__ = ("OffsetPagination",)
@dataclass
class OffsetPagination(Generic[T]):
"""Container for data returned using limit/offset pagination."""
__slots__ = ("items", "limit", "offset", "total")
items: Sequence[T]
"""List of data being sent as part of the response."""
limit: int
"""Maximal number of items to send."""
offset: int
"""Offset from the beginning of the query.
Identical to an index.
"""
total: int
"""Total number of items."""
python-advanced-alchemy-0.34.0/advanced_alchemy/service/typing.py 0000664 0000000 0000000 00000026360 14763441450 0025114 0 ustar 00root root 0000000 0000000 """Service object implementation for SQLAlchemy.
RepositoryService object is generic on the domain model type which
should be a SQLAlchemy model.
"""
from functools import lru_cache
from typing import (
TYPE_CHECKING,
Annotated,
Any,
TypeVar,
Union,
cast,
overload,
)
from typing_extensions import TypeAlias, TypeGuard
from advanced_alchemy.repository.typing import ModelT
from advanced_alchemy.service._typing import (
LITESTAR_INSTALLED,
MSGSPEC_INSTALLED,
PYDANTIC_INSTALLED,
UNSET,
BaseModel,
DTOData,
FailFast,
Struct,
TypeAdapter,
convert,
)
if TYPE_CHECKING:
from collections.abc import Sequence
from advanced_alchemy.filters import StatementFilter
PYDANTIC_USE_FAILFAST = False # leave permanently disabled for now
T = TypeVar("T")
FilterTypeT = TypeVar("FilterTypeT", bound="StatementFilter")
"""Type variable for filter types.
:class:`~advanced_alchemy.filters.StatementFilter`
"""
SupportedSchemaModel: TypeAlias = Union[Struct, BaseModel]
"""Type alias for objects that support to_dict or model_dump methods."""
ModelDTOT = TypeVar("ModelDTOT", bound="SupportedSchemaModel")
"""Type variable for model DTOs.
:class:`msgspec.Struct`|:class:`pydantic.BaseModel`
"""
PydanticOrMsgspecT = SupportedSchemaModel
"""Type alias for pydantic or msgspec models.
:class:`msgspec.Struct` or :class:`pydantic.BaseModel`
"""
ModelDictT: TypeAlias = "Union[dict[str, Any], ModelT, SupportedSchemaModel, DTOData[ModelT]]"
"""Type alias for model dictionaries.
Represents:
- :type:`dict[str, Any]` | :class:`~advanced_alchemy.base.ModelProtocol` | :class:`msgspec.Struct` | :class:`pydantic.BaseModel` | :class:`litestar.dto.data_structures.DTOData` | :class:`~advanced_alchemy.base.ModelProtocol`
"""
ModelDictListT: TypeAlias = "Sequence[Union[dict[str, Any], ModelT, SupportedSchemaModel]]"
"""Type alias for model dictionary lists.
A list or sequence of any of the following:
- :type:`Sequence`[:type:`dict[str, Any]` | :class:`~advanced_alchemy.base.ModelProtocol` | :class:`msgspec.Struct` | :class:`pydantic.BaseModel`]
"""
BulkModelDictT: TypeAlias = (
"Union[Sequence[Union[dict[str, Any], ModelT, SupportedSchemaModel]], DTOData[list[ModelT]]]"
)
"""Type alias for bulk model dictionaries.
:type:`Sequence`[ :type:`dict[str, Any]` | :class:`~advanced_alchemy.base.ModelProtocol` | :class:`msgspec.Struct` :class:`pydantic.BaseModel`] | :class:`litestar.dto.data_structures.DTOData`
"""
@lru_cache(typed=True)
def get_type_adapter(f: type[T]) -> TypeAdapter[T]:
"""Caches and returns a pydantic type adapter.
Args:
f: Type to create a type adapter for.
Returns:
:class:`pydantic.TypeAdapter`[:class:`typing.TypeVar`[T]]
"""
if PYDANTIC_USE_FAILFAST:
return TypeAdapter(
Annotated[f, FailFast()],
)
return TypeAdapter(f)
def is_dto_data(v: Any) -> TypeGuard[DTOData[Any]]:
"""Check if a value is a Litestar DTOData object.
Args:
v: Value to check.
Returns:
bool
"""
return LITESTAR_INSTALLED and isinstance(v, DTOData)
def is_pydantic_model(v: Any) -> TypeGuard[BaseModel]:
"""Check if a value is a pydantic model.
Args:
v: Value to check.
Returns:
bool
"""
return PYDANTIC_INSTALLED and isinstance(v, BaseModel)
def is_msgspec_struct(v: Any) -> TypeGuard[Struct]:
"""Check if a value is a msgspec struct.
Args:
v: Value to check.
Returns:
bool
"""
return MSGSPEC_INSTALLED and isinstance(v, Struct)
def is_dataclass(obj: Any) -> TypeGuard[Any]:
"""Check if an object is a dataclass."""
return hasattr(obj, "__dataclass_fields__")
def is_dataclass_with_field(obj: Any, field_name: str) -> TypeGuard[object]: # Can't specify dataclass type directly
"""Check if an object is a dataclass and has a specific field."""
return is_dataclass(obj) and hasattr(obj, field_name)
def is_dataclass_without_field(obj: Any, field_name: str) -> TypeGuard[object]:
"""Check if an object is a dataclass and does not have a specific field."""
return is_dataclass(obj) and not hasattr(obj, field_name)
def is_dict(v: Any) -> TypeGuard[dict[str, Any]]:
"""Check if a value is a dictionary.
Args:
v: Value to check.
Returns:
bool
"""
return isinstance(v, dict)
def is_dict_with_field(v: Any, field_name: str) -> TypeGuard[dict[str, Any]]:
"""Check if a dictionary has a specific field.
Args:
v: Value to check.
field_name: Field name to check for.
Returns:
bool
"""
return is_dict(v) and field_name in v
def is_dict_without_field(v: Any, field_name: str) -> TypeGuard[dict[str, Any]]:
"""Check if a dictionary does not have a specific field.
Args:
v: Value to check.
field_name: Field name to check for.
Returns:
bool
"""
return is_dict(v) and field_name not in v
def is_pydantic_model_with_field(v: Any, field_name: str) -> TypeGuard[BaseModel]:
"""Check if a pydantic model has a specific field.
Args:
v: Value to check.
field_name: Field name to check for.
Returns:
bool
"""
return is_pydantic_model(v) and hasattr(v, field_name)
def is_pydantic_model_without_field(v: Any, field_name: str) -> TypeGuard[BaseModel]:
"""Check if a pydantic model does not have a specific field.
Args:
v: Value to check.
field_name: Field name to check for.
Returns:
bool
"""
return is_pydantic_model(v) and not hasattr(v, field_name)
def is_msgspec_struct_with_field(v: Any, field_name: str) -> TypeGuard[Struct]:
"""Check if a msgspec struct has a specific field.
Args:
v: Value to check.
field_name: Field name to check for.
Returns:
bool
"""
return is_msgspec_struct(v) and hasattr(v, field_name)
def is_msgspec_struct_without_field(v: Any, field_name: str) -> "TypeGuard[Struct]":
"""Check if a msgspec struct does not have a specific field.
Args:
v: Value to check.
field_name: Field name to check for.
Returns:
bool
"""
return is_msgspec_struct(v) and not hasattr(v, field_name)
def is_schema(v: Any) -> "TypeGuard[SupportedSchemaModel]":
"""Check if a value is a msgspec Struct or Pydantic model.
Args:
v: Value to check.
Returns:
bool
"""
return is_msgspec_struct(v) or is_pydantic_model(v)
def is_schema_or_dict(v: Any) -> "TypeGuard[Union[SupportedSchemaModel, dict[str, Any]]]":
"""Check if a value is a msgspec Struct, Pydantic model, or dict.
Args:
v: Value to check.
Returns:
bool
"""
return is_schema(v) or is_dict(v)
def is_schema_with_field(v: Any, field_name: str) -> "TypeGuard[SupportedSchemaModel]":
"""Check if a value is a msgspec Struct or Pydantic model with a specific field.
Args:
v: Value to check.
field_name: Field name to check for.
Returns:
bool
"""
return is_msgspec_struct_with_field(v, field_name) or is_pydantic_model_with_field(v, field_name)
def is_schema_without_field(v: Any, field_name: str) -> "TypeGuard[SupportedSchemaModel]":
"""Check if a value is a msgspec Struct or Pydantic model without a specific field.
Args:
v: Value to check.
field_name: Field name to check for.
Returns:
bool
"""
return not is_schema_with_field(v, field_name)
def is_schema_or_dict_with_field(v: Any, field_name: str) -> "TypeGuard[Union[SupportedSchemaModel, dict[str, Any]]]":
"""Check if a value is a msgspec Struct, Pydantic model, or dict with a specific field.
Args:
v: Value to check.
field_name: Field name to check for.
Returns:
bool
"""
return is_schema_with_field(v, field_name) or is_dict_with_field(v, field_name)
def is_schema_or_dict_without_field(
v: Any, field_name: str
) -> "TypeGuard[Union[SupportedSchemaModel, dict[str, Any]]]":
"""Check if a value is a msgspec Struct, Pydantic model, or dict without a specific field.
Args:
v: Value to check.
field_name: Field name to check for.
Returns:
bool
"""
return not is_schema_or_dict_with_field(v, field_name)
@overload
def schema_dump(
data: "Union[dict[str, Any], SupportedSchemaModel, DTOData[ModelT]]", exclude_unset: bool = True
) -> "Union[dict[str, Any], ModelT]": ...
@overload
def schema_dump(data: ModelT, exclude_unset: bool = True) -> ModelT: ...
def schema_dump( # noqa: PLR0911
data: "Union[dict[str, Any], ModelT, SupportedSchemaModel, DTOData[ModelT]]", exclude_unset: bool = True
) -> "Union[dict[str, Any], ModelT]":
"""Dump a data object to a dictionary.
Args:
data: :type:`dict[str, Any]` | :class:`advanced_alchemy.base.ModelProtocol` | :class:`msgspec.Struct` | :class:`pydantic.BaseModel` | :class:`litestar.dto.data_structures.DTOData[ModelT]`
exclude_unset: :type:`bool` Whether to exclude unset values.
Returns:
Union[:type: dict[str, Any], :class:`~advanced_alchemy.base.ModelProtocol`]
"""
if is_dict(data):
return data
if is_pydantic_model(data):
return data.model_dump(exclude_unset=exclude_unset)
if is_msgspec_struct(data):
if exclude_unset:
return {f: val for f in data.__struct_fields__ if (val := getattr(data, f, None)) != UNSET}
return {f: getattr(data, f, None) for f in data.__struct_fields__}
if is_dto_data(data):
return cast("dict[str, Any]", data.as_builtins())
if hasattr(data, "__dict__"):
return data.__dict__
return cast("ModelT", data) # type: ignore[no-return-any]
__all__ = (
"LITESTAR_INSTALLED",
"MSGSPEC_INSTALLED",
"PYDANTIC_INSTALLED",
"PYDANTIC_USE_FAILFAST",
"UNSET",
"BaseModel",
"BulkModelDictT",
"DTOData",
"FailFast",
"FilterTypeT",
"ModelDTOT",
"ModelDictListT",
"ModelDictT",
"PydanticOrMsgspecT",
"Struct",
"SupportedSchemaModel",
"TypeAdapter",
"UnsetType",
"convert",
"get_type_adapter",
"is_dataclass",
"is_dataclass_with_field",
"is_dataclass_without_field",
"is_dict",
"is_dict_with_field",
"is_dict_without_field",
"is_dto_data",
"is_msgspec_struct",
"is_msgspec_struct_with_field",
"is_msgspec_struct_without_field",
"is_pydantic_model",
"is_pydantic_model_with_field",
"is_pydantic_model_without_field",
"is_schema",
"is_schema_or_dict",
"is_schema_or_dict_with_field",
"is_schema_or_dict_without_field",
"is_schema_with_field",
"is_schema_without_field",
"schema_dump",
)
if TYPE_CHECKING:
if not PYDANTIC_INSTALLED:
from advanced_alchemy.service._typing import BaseModel, FailFast, TypeAdapter
else:
from pydantic import BaseModel, FailFast, TypeAdapter # type: ignore[assignment] # noqa: TC004
if not MSGSPEC_INSTALLED:
from advanced_alchemy.service._typing import UNSET, Struct, UnsetType, convert
else:
from msgspec import UNSET, Struct, UnsetType, convert # type: ignore[assignment] # noqa: TC004
if not LITESTAR_INSTALLED:
from advanced_alchemy.service._typing import DTOData
else:
from litestar.dto import DTOData # type: ignore[assignment] # noqa: TC004
python-advanced-alchemy-0.34.0/advanced_alchemy/types/ 0000775 0000000 0000000 00000000000 14763441450 0022725 5 ustar 00root root 0000000 0000000 python-advanced-alchemy-0.34.0/advanced_alchemy/types/__init__.py 0000664 0000000 0000000 00000001247 14763441450 0025042 0 ustar 00root root 0000000 0000000 from advanced_alchemy.types.datetime import DateTimeUTC
from advanced_alchemy.types.encrypted_string import (
EncryptedString,
EncryptedText,
EncryptionBackend,
FernetBackend,
PGCryptoBackend,
)
from advanced_alchemy.types.guid import GUID, NANOID_INSTALLED, UUID_UTILS_INSTALLED
from advanced_alchemy.types.identity import BigIntIdentity
from advanced_alchemy.types.json import ORA_JSONB, JsonB
__all__ = (
"GUID",
"NANOID_INSTALLED",
"ORA_JSONB",
"UUID_UTILS_INSTALLED",
"BigIntIdentity",
"DateTimeUTC",
"EncryptedString",
"EncryptedText",
"EncryptionBackend",
"FernetBackend",
"JsonB",
"PGCryptoBackend",
)
python-advanced-alchemy-0.34.0/advanced_alchemy/types/datetime.py 0000664 0000000 0000000 00000002225 14763441450 0025074 0 ustar 00root root 0000000 0000000 # ruff: noqa: FA100
import datetime
from typing import Optional
from sqlalchemy import DateTime
from sqlalchemy.engine import Dialect
from sqlalchemy.types import TypeDecorator
__all__ = ("DateTimeUTC",)
class DateTimeUTC(TypeDecorator[datetime.datetime]):
"""Timezone Aware DateTime.
Ensure UTC is stored in the database and that TZ aware dates are returned for all dialects.
"""
impl = DateTime(timezone=True)
cache_ok = True
@property
def python_type(self) -> type[datetime.datetime]:
return datetime.datetime
def process_bind_param(self, value: Optional[datetime.datetime], dialect: Dialect) -> Optional[datetime.datetime]:
if value is None:
return value
if not value.tzinfo:
msg = "tzinfo is required"
raise TypeError(msg)
return value.astimezone(datetime.timezone.utc)
def process_result_value(self, value: Optional[datetime.datetime], dialect: Dialect) -> Optional[datetime.datetime]:
if value is None:
return value
if value.tzinfo is None:
return value.replace(tzinfo=datetime.timezone.utc)
return value
python-advanced-alchemy-0.34.0/advanced_alchemy/types/encrypted_string.py 0000664 0000000 0000000 00000031371 14763441450 0026667 0 ustar 00root root 0000000 0000000 import abc
import base64
import contextlib
import os
from typing import TYPE_CHECKING, Any, Callable, Optional, Union
from sqlalchemy import String, Text, TypeDecorator
from sqlalchemy import func as sql_func
from advanced_alchemy.exceptions import IntegrityError
if TYPE_CHECKING:
from sqlalchemy.engine import Dialect
cryptography = None # type: ignore[var-annotated,unused-ignore]
with contextlib.suppress(ImportError):
from cryptography.fernet import Fernet
from cryptography.hazmat.backends import default_backend
from cryptography.hazmat.primitives import hashes
__all__ = ("EncryptedString", "EncryptedText", "EncryptionBackend", "FernetBackend", "PGCryptoBackend")
class EncryptionBackend(abc.ABC):
"""Abstract base class for encryption backends.
This class defines the interface that all encryption backends must implement.
Concrete implementations should provide the actual encryption/decryption logic.
Attributes:
passphrase (bytes): The encryption passphrase used by the backend.
"""
def mount_vault(self, key: "Union[str, bytes]") -> None:
"""Mounts the vault with the provided encryption key.
Args:
key (str | bytes): The encryption key used to initialize the backend.
"""
if isinstance(key, str):
key = key.encode()
@abc.abstractmethod
def init_engine(self, key: "Union[bytes, str]") -> None: # pragma: nocover
"""Initializes the encryption engine with the provided key.
Args:
key (bytes | str): The encryption key.
Raises:
NotImplementedError: If the method is not implemented by the subclass.
"""
@abc.abstractmethod
def encrypt(self, value: Any) -> str: # pragma: nocover
"""Encrypts the given value.
Args:
value (Any): The value to encrypt.
Returns:
str: The encrypted value.
Raises:
NotImplementedError: If the method is not implemented by the subclass.
"""
@abc.abstractmethod
def decrypt(self, value: Any) -> str: # pragma: nocover
"""Decrypts the given value.
Args:
value (Any): The value to decrypt.
Returns:
str: The decrypted value.
Raises:
NotImplementedError: If the method is not implemented by the subclass.
"""
class PGCryptoBackend(EncryptionBackend):
"""PostgreSQL pgcrypto-based encryption backend.
This backend uses PostgreSQL's pgcrypto extension for encryption/decryption operations.
Requires the pgcrypto extension to be installed in the database.
Attributes:
passphrase (bytes): The base64-encoded passphrase used for encryption and decryption.
"""
def init_engine(self, key: "Union[bytes, str]") -> None:
"""Initializes the pgcrypto engine with the provided key.
Args:
key (bytes | str): The encryption key.
"""
if isinstance(key, str):
key = key.encode()
self.passphrase = base64.urlsafe_b64encode(key)
def encrypt(self, value: Any) -> str:
"""Encrypts the given value using pgcrypto.
Args:
value (Any): The value to encrypt.
Returns:
str: The encrypted value.
Raises:
TypeError: If the value is not a string.
"""
if not isinstance(value, str): # pragma: nocover
value = repr(value)
value = value.encode()
return sql_func.pgp_sym_encrypt(value, self.passphrase) # type: ignore[return-value]
def decrypt(self, value: Any) -> str:
"""Decrypts the given value using pgcrypto.
Args:
value (Any): The value to decrypt.
Returns:
str: The decrypted value.
Raises:
TypeError: If the value is not a string.
"""
if not isinstance(value, str): # pragma: nocover
value = str(value)
return sql_func.pgp_sym_decrypt(value, self.passphrase) # type: ignore[return-value]
class FernetBackend(EncryptionBackend):
"""Fernet-based encryption backend.
This backend uses the Python cryptography library's Fernet implementation
for encryption/decryption operations. Provides symmetric encryption with
built-in rotation support.
Attributes:
key (bytes): The base64-encoded key used for encryption and decryption.
fernet (cryptography.fernet.Fernet): The Fernet instance used for encryption/decryption.
"""
def mount_vault(self, key: "Union[str, bytes]") -> None:
"""Mounts the vault with the provided encryption key.
This method hashes the key using SHA256 before initializing the engine.
Args:
key (str | bytes): The encryption key.
"""
if isinstance(key, str):
key = key.encode()
digest = hashes.Hash(hashes.SHA256(), backend=default_backend()) # pyright: ignore[reportPossiblyUnboundVariable]
digest.update(key)
engine_key = digest.finalize()
self.init_engine(engine_key)
def init_engine(self, key: "Union[bytes, str]") -> None:
"""Initializes the Fernet engine with the provided key.
Args:
key (bytes | str): The encryption key.
"""
if isinstance(key, str):
key = key.encode()
self.key = base64.urlsafe_b64encode(key)
self.fernet = Fernet(self.key) # pyright: ignore[reportPossiblyUnboundVariable]
def encrypt(self, value: Any) -> str:
"""Encrypts the given value using Fernet.
Args:
value (Any): The value to encrypt.
Returns:
str: The encrypted value.
Raises:
TypeError: If the value is not a string.
cryptography.fernet.InvalidToken: If encryption fails.
"""
if not isinstance(value, str):
value = repr(value)
value = value.encode()
encrypted = self.fernet.encrypt(value)
return encrypted.decode("utf-8")
def decrypt(self, value: Any) -> str:
"""Decrypts the given value using Fernet.
Args:
value (Any): The value to decrypt.
Returns:
str: The decrypted value.
Raises:
TypeError: If the value is not a string.
cryptography.fernet.InvalidToken: If decryption fails.
"""
if not isinstance(value, str): # pragma: nocover
value = str(value)
decrypted: Union[str, bytes] = self.fernet.decrypt(value.encode())
if not isinstance(decrypted, str):
decrypted = decrypted.decode("utf-8") # pyright: ignore[reportAttributeAccessIssue]
return decrypted
DEFAULT_ENCRYPTION_KEY = os.urandom(32)
class EncryptedString(TypeDecorator[str]):
"""SQLAlchemy TypeDecorator for storing encrypted string values in a database.
This type provides transparent encryption/decryption of string values using the specified backend.
It extends :class:`sqlalchemy.types.TypeDecorator` and implements String as its underlying type.
Args:
key (str | bytes | Callable[[], str | bytes] | None): The encryption key. Can be a string, bytes, or callable returning either. Defaults to os.urandom(32).
backend (Type[EncryptionBackend] | None): The encryption backend class to use. Defaults to FernetBackend.
length (int | None): The length of the unencrypted string. This is used for documentation and validation purposes only, as encrypted strings will be longer.
**kwargs (Any | None): Additional arguments passed to the underlying String type.
Attributes:
key (str | bytes | Callable[[], str | bytes]): The encryption key.
backend (EncryptionBackend): The encryption backend instance.
length (int | None): The unencrypted string length.
"""
impl = String
cache_ok = True
def __init__(
self,
key: "Union[str, bytes, Callable[[], Union[str, bytes]]]" = DEFAULT_ENCRYPTION_KEY,
backend: "type[EncryptionBackend]" = FernetBackend,
length: "Optional[int]" = None,
**kwargs: Any,
) -> None:
"""Initializes the EncryptedString TypeDecorator.
Args:
key (str | bytes | Callable[[], str | bytes] | None): The encryption key. Can be a string, bytes, or callable returning either. Defaults to os.urandom(32).
backend (Type[EncryptionBackend] | None): The encryption backend class to use. Defaults to FernetBackend.
length (int | None): The length of the unencrypted string. This is used for documentation and validation purposes only.
**kwargs (Any | None): Additional arguments passed to the underlying String type.
"""
super().__init__()
self.key = key
self.backend = backend()
self.length = length
@property
def python_type(self) -> type[str]:
"""Returns the Python type for this type decorator.
Returns:
Type[str]: The Python string type.
"""
return str
def load_dialect_impl(self, dialect: "Dialect") -> Any:
"""Loads the appropriate dialect implementation based on the database dialect.
Note: The actual column length will be larger than the specified length due to encryption overhead.
For most encryption methods, the encrypted string will be approximately 1.35x longer than the original.
Args:
dialect (Dialect): The SQLAlchemy dialect.
Returns:
Any: The dialect-specific type descriptor.
"""
if dialect.name in {"mysql", "mariadb"}:
# For MySQL/MariaDB, always use Text to avoid length limitations
return dialect.type_descriptor(Text())
if dialect.name == "oracle":
# Oracle has a 4000-byte limit for VARCHAR2 (by default)
return dialect.type_descriptor(String(length=4000))
return dialect.type_descriptor(String())
def process_bind_param(self, value: Any, dialect: "Dialect") -> "Union[str, None]":
"""Processes the value before binding it to the SQL statement.
This method encrypts the value using the specified backend and validates length if specified.
Args:
value (Any): The value to process.
dialect (Dialect): The SQLAlchemy dialect.
Returns:
str | None: The encrypted value or None if the input is None.
Raises:
ValueError: If the value exceeds the specified length.
"""
if value is None:
return value
# Validate length if specified
if self.length is not None and len(str(value)) > self.length:
msg = f"Unencrypted value exceeds maximum unencrypted length of {self.length}"
raise IntegrityError(msg)
self.mount_vault()
return self.backend.encrypt(value)
def process_result_value(self, value: Any, dialect: "Dialect") -> "Union[str, None]":
"""Processes the value after retrieving it from the database.
This method decrypts the value using the specified backend.
Args:
value (Any): The value to process.
dialect (Dialect): The SQLAlchemy dialect.
Returns:
str | None: The decrypted value or None if the input is None.
"""
if value is None:
return value
self.mount_vault()
return self.backend.decrypt(value)
def mount_vault(self) -> None:
"""Mounts the vault with the encryption key.
If the key is callable, it is called to retrieve the key. Otherwise, the key is used directly.
"""
key = self.key() if callable(self.key) else self.key
self.backend.mount_vault(key)
class EncryptedText(EncryptedString):
"""SQLAlchemy TypeDecorator for storing encrypted text/CLOB values in a database.
This type provides transparent encryption/decryption of text values using the specified backend.
It extends :class:`EncryptedString` and implements Text as its underlying type.
This is suitable for storing larger encrypted text content compared to EncryptedString.
Args:
key (str | bytes | Callable[[], str | bytes] | None): The encryption key. Can be a string, bytes, or callable returning either. Defaults to os.urandom(32).
backend (Type[EncryptionBackend] | None): The encryption backend class to use. Defaults to FernetBackend.
**kwargs (Any | None): Additional arguments passed to the underlying String type.
"""
impl = Text
cache_ok = True
def load_dialect_impl(self, dialect: "Dialect") -> Any:
"""Loads the appropriate dialect implementation for Text type.
Args:
dialect (Dialect): The SQLAlchemy dialect.
Returns:
Any: The dialect-specific Text type descriptor.
"""
return dialect.type_descriptor(Text())
python-advanced-alchemy-0.34.0/advanced_alchemy/types/guid.py 0000664 0000000 0000000 00000006453 14763441450 0024237 0 ustar 00root root 0000000 0000000 # ruff: noqa: FA100
from base64 import b64decode
from importlib.util import find_spec
from typing import Any, Optional, Union, cast
from uuid import UUID
from sqlalchemy.dialects.mssql import UNIQUEIDENTIFIER as MSSQL_UNIQUEIDENTIFIER
from sqlalchemy.dialects.oracle import RAW as ORA_RAW
from sqlalchemy.dialects.postgresql import UUID as PG_UUID
from sqlalchemy.engine import Dialect
from sqlalchemy.types import BINARY, CHAR, TypeDecorator
from typing_extensions import Buffer
__all__ = ("GUID",)
UUID_UTILS_INSTALLED = find_spec("uuid_utils")
NANOID_INSTALLED = find_spec("fastnanoid")
class GUID(TypeDecorator[UUID]):
"""Platform-independent GUID type.
Uses PostgreSQL's UUID type (Postgres, DuckDB, Cockroach),
MSSQL's UNIQUEIDENTIFIER type, Oracle's RAW(16) type,
otherwise uses BINARY(16) or CHAR(32),
storing as stringified hex values.
Will accept stringified UUIDs as a hexstring or an actual UUID
"""
impl = BINARY(16)
cache_ok = True
@property
def python_type(self) -> type[UUID]:
return UUID
def __init__(self, *args: Any, binary: bool = True, **kwargs: Any) -> None:
self.binary = binary
def load_dialect_impl(self, dialect: Dialect) -> Any:
if dialect.name in {"postgresql", "duckdb", "cockroachdb"}:
return dialect.type_descriptor(PG_UUID())
if dialect.name == "oracle":
return dialect.type_descriptor(ORA_RAW(16))
if dialect.name == "mssql":
return dialect.type_descriptor(MSSQL_UNIQUEIDENTIFIER())
if self.binary:
return dialect.type_descriptor(BINARY(16))
return dialect.type_descriptor(CHAR(32))
def process_bind_param(
self,
value: Optional[Union[bytes, str, UUID]],
dialect: Dialect,
) -> Optional[Union[bytes, str]]:
if value is None:
return value
if dialect.name in {"postgresql", "duckdb", "cockroachdb", "mssql"}:
return str(value)
value = self.to_uuid(value)
if value is None:
return value
if dialect.name in {"oracle", "spanner+spanner"}:
return value.bytes
return value.bytes if self.binary else value.hex
def process_result_value(
self,
value: Optional[Union[bytes, str, UUID]],
dialect: Dialect,
) -> Optional[UUID]:
if value is None:
return value
if value.__class__.__name__ == "UUID":
return cast("UUID", value)
if dialect.name == "spanner+spanner":
return UUID(bytes=b64decode(cast("str | Buffer", value)))
if self.binary:
return UUID(bytes=cast("bytes", value))
return UUID(hex=cast("str", value))
@staticmethod
def to_uuid(value: Any) -> Optional[UUID]:
if value.__class__.__name__ == "UUID" or value is None:
return cast("Optional[UUID]", value)
try:
value = UUID(hex=value)
except (TypeError, ValueError):
value = UUID(bytes=value)
return cast("Optional[UUID]", value)
def compare_values(self, x: Any, y: Any) -> bool:
"""Compare two values for equality."""
if x.__class__.__name__ == "UUID" and y.__class__.__name__ == "UUID":
return cast("bool", x.bytes == y.bytes)
return cast("bool", x == y)
python-advanced-alchemy-0.34.0/advanced_alchemy/types/identity.py 0000664 0000000 0000000 00000000310 14763441450 0025122 0 ustar 00root root 0000000 0000000 from sqlalchemy.types import BigInteger, Integer
BigIntIdentity = BigInteger().with_variant(Integer, "sqlite")
"""A ``BigInteger`` variant that reverts to an ``Integer`` for unsupported variants."""
python-advanced-alchemy-0.34.0/advanced_alchemy/types/json.py 0000664 0000000 0000000 00000006160 14763441450 0024253 0 ustar 00root root 0000000 0000000 # ruff: noqa: FA100
from typing import Any, Optional, Union, cast
from sqlalchemy import text, util
from sqlalchemy.dialects.oracle import BLOB as ORA_BLOB
from sqlalchemy.dialects.postgresql import JSONB as PG_JSONB
from sqlalchemy.engine import Dialect
from sqlalchemy.types import JSON as _JSON
from sqlalchemy.types import SchemaType, TypeDecorator, TypeEngine
from advanced_alchemy._serialization import decode_json, encode_json
__all__ = ("ORA_JSONB",)
class ORA_JSONB(TypeDecorator[dict[str, Any]], SchemaType): # noqa: N801
"""Oracle Binary JSON type.
JsonB = _JSON().with_variant(PG_JSONB, "postgresql").with_variant(ORA_JSONB, "oracle")
"""
impl = ORA_BLOB
cache_ok = True
@property
def python_type(self) -> type[dict[str, Any]]:
return dict
def __init__(self, *args: Any, **kwargs: Any) -> None:
"""Initialize JSON type"""
self.name = kwargs.pop("name", None)
self.oracle_strict = kwargs.pop("oracle_strict", True)
def coerce_compared_value(self, op: Any, value: Any) -> Any:
return self.impl.coerce_compared_value(op=op, value=value) # type: ignore[no-untyped-call, call-arg]
def load_dialect_impl(self, dialect: Dialect) -> TypeEngine[Any]:
return dialect.type_descriptor(ORA_BLOB())
def process_bind_param(self, value: Any, dialect: Dialect) -> Optional[Any]:
return value if value is None else encode_json(value)
def process_result_value(self, value: Union[bytes, None], dialect: Dialect) -> Optional[Any]:
if dialect.oracledb_ver < (2,): # type: ignore[attr-defined]
return value if value is None else decode_json(value)
return value
def _should_create_constraint(self, compiler: Any, **kw: Any) -> bool:
return cast("bool", compiler.dialect.name == "oracle")
def _variant_mapping_for_set_table(self, column: Any) -> Optional[dict[str, Any]]:
if column.type._variant_mapping: # noqa: SLF001
variant_mapping = dict(column.type._variant_mapping) # noqa: SLF001
variant_mapping["_default"] = column.type
else:
variant_mapping = None
return variant_mapping
@util.preload_module("sqlalchemy.sql.schema")
def _set_table(self, column: Any, table: Any) -> None:
schema = util.preloaded.sql_schema
variant_mapping = self._variant_mapping_for_set_table(column)
constraint_options = "(strict)" if self.oracle_strict else ""
sqltext = text(f"{column.name} is json {constraint_options}")
e = schema.CheckConstraint(
sqltext,
name=f"{column.name}_is_json",
_create_rule=util.portable_instancemethod( # type: ignore[no-untyped-call]
self._should_create_constraint,
{"variant_mapping": variant_mapping},
),
_type_bound=True,
)
table.append_constraint(e)
JsonB = (
_JSON().with_variant(PG_JSONB, "postgresql").with_variant(ORA_JSONB, "oracle").with_variant(PG_JSONB, "cockroachdb")
)
"""A JSON type that uses native ``JSONB`` where possible and ``Binary`` or ``Blob`` as
an alternative.
"""
python-advanced-alchemy-0.34.0/advanced_alchemy/utils/ 0000775 0000000 0000000 00000000000 14763441450 0022721 5 ustar 00root root 0000000 0000000 python-advanced-alchemy-0.34.0/advanced_alchemy/utils/__init__.py 0000664 0000000 0000000 00000000000 14763441450 0025020 0 ustar 00root root 0000000 0000000 python-advanced-alchemy-0.34.0/advanced_alchemy/utils/dataclass.py 0000664 0000000 0000000 00000012124 14763441450 0025232 0 ustar 00root root 0000000 0000000 from dataclasses import Field, fields, is_dataclass
from inspect import isclass
from typing import TYPE_CHECKING, Any, ClassVar, Optional, Protocol, final, runtime_checkable
if TYPE_CHECKING:
from collections.abc import Iterable
from collections.abc import Set as AbstractSet
from typing_extensions import TypeAlias, TypeGuard
__all__ = (
"DataclassProtocol",
"Empty",
"EmptyType",
"extract_dataclass_fields",
"extract_dataclass_items",
"is_dataclass_class",
"is_dataclass_instance",
"simple_asdict",
)
@final
class Empty:
"""A sentinel class used as placeholder."""
EmptyType: "TypeAlias" = type[Empty]
"""Type alias for the :class:`~advanced_alchemy.utils.dataclass.Empty` sentinel class."""
@runtime_checkable
class DataclassProtocol(Protocol):
"""Protocol for instance checking dataclasses"""
__dataclass_fields__: "ClassVar[dict[str, Any]]"
def extract_dataclass_fields(
dt: "DataclassProtocol",
exclude_none: bool = False,
exclude_empty: bool = False,
include: "Optional[AbstractSet[str]]" = None,
exclude: "Optional[AbstractSet[str]]" = None,
) -> "tuple[Field[Any], ...]":
"""Extract dataclass fields.
Args:
dt: :class:`DataclassProtocol` instance.
exclude_none: Whether to exclude None values.
exclude_empty: Whether to exclude Empty values.
include: An iterable of fields to include.
exclude: An iterable of fields to exclude.
Returns:
A tuple of dataclass fields.
"""
include = include or set()
exclude = exclude or set()
if common := (include & exclude):
msg = f"Fields {common} are both included and excluded."
raise ValueError(msg)
dataclass_fields: Iterable[Field[Any]] = fields(dt)
if exclude_none:
dataclass_fields = (field for field in dataclass_fields if getattr(dt, field.name) is not None)
if exclude_empty:
dataclass_fields = (field for field in dataclass_fields if getattr(dt, field.name) is not Empty)
if include:
dataclass_fields = (field for field in dataclass_fields if field.name in include)
if exclude:
dataclass_fields = (field for field in dataclass_fields if field.name not in exclude)
return tuple(dataclass_fields)
def extract_dataclass_items(
dt: "DataclassProtocol",
exclude_none: bool = False,
exclude_empty: bool = False,
include: "Optional[AbstractSet[str]]" = None,
exclude: "Optional[AbstractSet[str]]" = None,
) -> tuple[tuple[str, Any], ...]:
"""Extract dataclass name, value pairs.
Unlike the 'asdict' method exports by the stdlib, this function does not pickle values.
Args:
dt: :class:`DataclassProtocol` instance.
exclude_none: Whether to exclude None values.
exclude_empty: Whether to exclude Empty values.
include: An iterable of fields to include.
exclude: An iterable of fields to exclude.
Returns:
A tuple of key/value pairs.
"""
dataclass_fields = extract_dataclass_fields(dt, exclude_none, exclude_empty, include, exclude)
return tuple((field.name, getattr(dt, field.name)) for field in dataclass_fields)
def simple_asdict(
obj: "DataclassProtocol",
exclude_none: bool = False,
exclude_empty: bool = False,
convert_nested: bool = True,
exclude: "Optional[AbstractSet[str]]" = None,
) -> "dict[str, Any]":
"""Convert a dataclass to a dictionary.
This method has important differences to the standard library version:
- it does not deepcopy values
- it does not recurse into collections
Args:
obj: :class:`DataclassProtocol` instance.
exclude_none: Whether to exclude None values.
exclude_empty: Whether to exclude Empty values.
convert_nested: Whether to recursively convert nested dataclasses.
exclude: An iterable of fields to exclude.
Returns:
A dictionary of key/value pairs.
"""
ret: dict[str, Any] = {}
for field in extract_dataclass_fields(obj, exclude_none, exclude_empty, exclude=exclude):
value = getattr(obj, field.name)
if is_dataclass_instance(value) and convert_nested:
ret[field.name] = simple_asdict(value, exclude_none, exclude_empty)
else:
ret[field.name] = getattr(obj, field.name)
return ret
def is_dataclass_instance(obj: Any) -> "TypeGuard[DataclassProtocol]":
"""Check if an object is a dataclass instance.
Args:
obj: An object to check.
Returns:
True if the object is a dataclass instance.
"""
return hasattr(type(obj), "__dataclass_fields__") # pyright: ignore[reportUnknownArgumentType]
def is_dataclass_class(annotation: Any) -> "TypeGuard[type[DataclassProtocol]]":
"""Wrap :func:`is_dataclass ` in a :data:`typing.TypeGuard`.
Args:
annotation: tested to determine if instance or type of :class:`dataclasses.dataclass`.
Returns:
``True`` if instance or type of ``dataclass``.
"""
try:
return isclass(annotation) and is_dataclass(annotation)
except TypeError: # pragma: no cover
return False
python-advanced-alchemy-0.34.0/advanced_alchemy/utils/deprecation.py 0000664 0000000 0000000 00000007467 14763441450 0025606 0 ustar 00root root 0000000 0000000 import inspect
from functools import wraps
from typing import Callable, Literal, Optional
from warnings import warn
from typing_extensions import ParamSpec, TypeVar
__all__ = ("deprecated", "warn_deprecation")
T = TypeVar("T")
P = ParamSpec("P")
DeprecatedKind = Literal["function", "method", "classmethod", "attribute", "property", "class", "parameter", "import"]
def warn_deprecation(
version: str,
deprecated_name: str,
kind: DeprecatedKind,
*,
removal_in: Optional[str] = None,
alternative: Optional[str] = None,
info: Optional[str] = None,
pending: bool = False,
) -> None:
"""Warn about a call to a (soon to be) deprecated function.
Args:
version: Advanced Alchemy version where the deprecation will occur
deprecated_name: Name of the deprecated function
removal_in: Advanced Alchemy version where the deprecated function will be removed
alternative: Name of a function that should be used instead
info: Additional information
pending: Use :class:`warnings.PendingDeprecationWarning` instead of :class:`warnings.DeprecationWarning`
kind: Type of the deprecated thing
"""
parts = []
if kind == "import":
access_type = "Import of"
elif kind in {"function", "method"}:
access_type = "Call to"
else:
access_type = "Use of"
if pending:
parts.append(f"{access_type} {kind} awaiting deprecation {deprecated_name!r}") # pyright: ignore[reportUnknownMemberType]
else:
parts.append(f"{access_type} deprecated {kind} {deprecated_name!r}") # pyright: ignore[reportUnknownMemberType]
parts.extend( # pyright: ignore[reportUnknownMemberType]
(
f"Deprecated in advanced-alchemy {version}",
f"This {kind} will be removed in {removal_in or 'the next major version'}",
),
)
if alternative:
parts.append(f"Use {alternative!r} instead") # pyright: ignore[reportUnknownMemberType]
if info:
parts.append(info) # pyright: ignore[reportUnknownMemberType]
text = ". ".join(parts) # pyright: ignore[reportUnknownArgumentType]
warning_class = PendingDeprecationWarning if pending else DeprecationWarning
warn(text, warning_class, stacklevel=2)
def deprecated(
version: str,
*,
removal_in: Optional[str] = None,
alternative: Optional[str] = None,
info: Optional[str] = None,
pending: bool = False,
kind: Optional[Literal["function", "method", "classmethod", "property"]] = None,
) -> Callable[[Callable[P, T]], Callable[P, T]]:
"""Create a decorator wrapping a function, method or property with a warning call about a (pending) deprecation.
Args:
version: Litestar version where the deprecation will occur
removal_in: Litestar version where the deprecated function will be removed
alternative: Name of a function that should be used instead
info: Additional information
pending: Use :class:`warnings.PendingDeprecationWarning` instead of :class:`warnings.DeprecationWarning`
kind: Type of the deprecated callable. If ``None``, will use ``inspect`` to figure
out if it's a function or method
Returns:
A decorator wrapping the function call with a warning
"""
def decorator(func: Callable[P, T]) -> Callable[P, T]:
@wraps(func)
def wrapped(*args: P.args, **kwargs: P.kwargs) -> T:
warn_deprecation(
version=version,
deprecated_name=func.__name__,
info=info,
alternative=alternative,
pending=pending,
removal_in=removal_in,
kind=kind or ("method" if inspect.ismethod(func) else "function"),
)
return func(*args, **kwargs)
return wrapped
return decorator
python-advanced-alchemy-0.34.0/advanced_alchemy/utils/fixtures.py 0000664 0000000 0000000 00000004231 14763441450 0025144 0 ustar 00root root 0000000 0000000 from typing import TYPE_CHECKING, Any, Union
from advanced_alchemy._serialization import decode_json
from advanced_alchemy.exceptions import MissingDependencyError
if TYPE_CHECKING:
from pathlib import Path
from anyio import Path as AsyncPath
__all__ = ("open_fixture", "open_fixture_async")
def open_fixture(fixtures_path: "Union[Path, AsyncPath]", fixture_name: str) -> Any:
"""Loads JSON file with the specified fixture name
Args:
fixtures_path: :class:`pathlib.Path` | :class:`anyio.Path` The path to look for fixtures
fixture_name (str): The fixture name to load.
Raises:
:class:`FileNotFoundError`: Fixtures not found.
Returns:
Any: The parsed JSON data
"""
from pathlib import Path
fixture = Path(fixtures_path / f"{fixture_name}.json")
if fixture.exists():
with fixture.open(mode="r", encoding="utf-8") as f:
f_data = f.read()
return decode_json(f_data)
msg = f"Could not find the {fixture_name} fixture"
raise FileNotFoundError(msg)
async def open_fixture_async(fixtures_path: "Union[Path, AsyncPath]", fixture_name: str) -> Any:
"""Loads JSON file with the specified fixture name
Args:
fixtures_path: :class:`pathlib.Path` | :class:`anyio.Path` The path to look for fixtures
fixture_name (str): The fixture name to load.
Raises:
:class:`~advanced_alchemy.exceptions.MissingDependencyError`: The `anyio` library is required to use this function.
:class:`FileNotFoundError`: Fixtures not found.
Returns:
Any: The parsed JSON data
"""
try:
from anyio import Path as AsyncPath
except ImportError as exc:
msg = "The `anyio` library is required to use this function. Please install it with `pip install anyio`."
raise MissingDependencyError(msg) from exc
fixture = AsyncPath(fixtures_path / f"{fixture_name}.json")
if await fixture.exists():
async with await fixture.open(mode="r", encoding="utf-8") as f:
f_data = await f.read()
return decode_json(f_data)
msg = f"Could not find the {fixture_name} fixture"
raise FileNotFoundError(msg)
python-advanced-alchemy-0.34.0/advanced_alchemy/utils/module_loader.py 0000664 0000000 0000000 00000005213 14763441450 0026107 0 ustar 00root root 0000000 0000000 """General utility functions."""
import sys
from importlib import import_module
from importlib.util import find_spec
from pathlib import Path
from typing import TYPE_CHECKING, Any, Optional
if TYPE_CHECKING:
from types import ModuleType
__all__ = (
"import_string",
"module_to_os_path",
)
def module_to_os_path(dotted_path: str = "app") -> Path:
"""Find Module to OS Path.
Return a path to the base directory of the project or the module
specified by `dotted_path`.
Args:
dotted_path: The path to the module. Defaults to "app".
Raises:
TypeError: The module could not be found.
Returns:
Path: The path to the module.
"""
try:
if (src := find_spec(dotted_path)) is None: # pragma: no cover
msg = f"Couldn't find the path for {dotted_path}"
raise TypeError(msg)
except ModuleNotFoundError as e:
msg = f"Couldn't find the path for {dotted_path}"
raise TypeError(msg) from e
path = Path(str(src.origin))
return path.parent if path.is_file() else path
def import_string(dotted_path: str) -> Any:
"""Dotted Path Import.
Import a dotted module path and return the attribute/class designated by the
last name in the path. Raise ImportError if the import failed.
Args:
dotted_path: The path of the module to import.
Raises:
ImportError: Could not import the module.
Returns:
object: The imported object.
"""
def _is_loaded(module: "Optional[ModuleType]") -> bool:
spec = getattr(module, "__spec__", None)
initializing = getattr(spec, "_initializing", False)
return bool(module and spec and not initializing)
def _cached_import(module_path: str, class_name: str) -> Any:
"""Import and cache a class from a module.
Args:
module_path: dotted path to module.
class_name: Class or function name.
Returns:
object: The imported class or function
"""
# Check whether module is loaded and fully initialized.
module = sys.modules.get(module_path)
if not _is_loaded(module):
module = import_module(module_path)
return getattr(module, class_name)
try:
module_path, class_name = dotted_path.rsplit(".", 1)
except ValueError as e:
msg = "%s doesn't look like a module path"
raise ImportError(msg, dotted_path) from e
try:
return _cached_import(module_path, class_name)
except AttributeError as e:
msg = "Module '%s' does not define a '%s' attribute/class"
raise ImportError(msg, module_path, class_name) from e
python-advanced-alchemy-0.34.0/advanced_alchemy/utils/portals.py 0000664 0000000 0000000 00000014765 14763441450 0024774 0 ustar 00root root 0000000 0000000 """This module provides a portal provider and portal for calling async functions from synchronous code."""
import asyncio
import functools
import queue
import threading
from typing import TYPE_CHECKING, Any, Callable, ClassVar, Optional, TypeVar, cast
from warnings import warn
from advanced_alchemy.exceptions import ImproperConfigurationError
if TYPE_CHECKING:
from collections.abc import Coroutine
__all__ = ("Portal", "PortalProvider", "PortalProviderSingleton")
_R = TypeVar("_R")
class PortalProviderSingleton(type):
"""A singleton metaclass for PortalProvider."""
_instances: "ClassVar[dict[type, PortalProvider]]" = {}
def __call__(cls, *args: Any, **kwargs: Any) -> "PortalProvider":
if cls not in cls._instances: # pyright: ignore[reportUnnecessaryContains]
cls._instances[cls] = super().__call__(*args, **kwargs)
return cls._instances[cls] # pyright: ignore[reportUnknownVariableType,reportUnknownMemberType]
class PortalProvider(metaclass=PortalProviderSingleton):
"""A provider for creating and managing threaded portals."""
def __init__(self) -> None:
"""Initialize the PortalProvider."""
self._request_queue: queue.Queue[
tuple[
Callable[..., Coroutine[Any, Any, Any]],
tuple[Any, ...],
dict[str, Any],
queue.Queue[tuple[Optional[Any], Optional[Exception]]],
]
] = queue.Queue()
self._result_queue: queue.Queue[tuple[Optional[Any], Optional[Exception]]] = queue.Queue()
self._loop: Optional[asyncio.AbstractEventLoop] = None
self._thread: Optional[threading.Thread] = None
self._ready_event: threading.Event = threading.Event()
@property
def portal(self) -> "Portal":
"""The portal instance."""
return Portal(self)
@property
def is_running(self) -> bool:
"""Whether the portal provider is running."""
return self._thread is not None and self._thread.is_alive()
@property
def is_ready(self) -> bool:
"""Whether the portal provider is ready."""
return self._ready_event.is_set()
@property
def loop(self) -> "asyncio.AbstractEventLoop": # pragma: no cover
"""The event loop."""
if self._loop is None:
msg = "The PortalProvider is not started. Did you forget to call .start()?"
raise ImproperConfigurationError(msg)
return self._loop
def start(self) -> None:
"""Starts the background thread and event loop."""
if self._thread is not None: # pragma: no cover
warn("PortalProvider already started", stacklevel=2)
return
self._thread = threading.Thread(target=self._run_event_loop, daemon=True)
self._thread.start()
self._ready_event.wait() # Wait for the loop to be ready
def stop(self) -> None:
"""Stops the background thread and event loop."""
if self._loop is None or self._thread is None:
return
self._loop.call_soon_threadsafe(self._loop.stop)
self._thread.join()
self._loop.close()
self._loop = None
self._thread = None
self._ready_event.clear()
def _run_event_loop(self) -> None: # pragma: no cover
"""The main function of the background thread."""
self._loop = asyncio.new_event_loop()
asyncio.set_event_loop(self._loop)
self._ready_event.set() # Signal that the loop is ready
self._loop.run_forever()
async def _async_caller(
self,
func: "Callable[..., Coroutine[Any, Any, _R]]",
args: tuple[Any, ...],
kwargs: dict[str, Any],
) -> _R:
"""Wrapper to run the async function and send the result to the result queue."""
result: _R = await func(*args, **kwargs)
return result
def call(self, func: "Callable[..., Coroutine[Any, Any, _R]]", *args: Any, **kwargs: Any) -> _R:
"""Calls an async function from a synchronous context.
Args:
func: The async function to call.
*args: Positional arguments to the function.
**kwargs: Keyword arguments to the function.
Returns:
The result of the async function.
Raises:
Exception: If the async function raises an exception.
"""
if self._loop is None:
msg = "The PortalProvider is not started. Did you forget to call .start()?"
raise ImproperConfigurationError(msg)
# Create a new result queue
local_result_queue: queue.Queue[tuple[Optional[_R], Optional[Exception]]] = queue.Queue()
# Send the request to the background thread
self._request_queue.put((func, args, kwargs, local_result_queue))
# Trigger the execution in the event loop
_handle = self._loop.call_soon_threadsafe(self._process_request)
# Wait for the result from the background thread
result, exception = local_result_queue.get()
if exception:
raise exception
return cast("_R", result)
def _process_request(self) -> None: # pragma: no cover
"""Processes a request from the request queue in the event loop."""
assert self._loop is not None # noqa: S101
if not self._request_queue.empty():
func, args, kwargs, local_result_queue = self._request_queue.get()
future = asyncio.run_coroutine_threadsafe(self._async_caller(func, args, kwargs), self._loop)
# Attach a callback to handle the result/exception
future.add_done_callback(
functools.partial(self._handle_future_result, local_result_queue=local_result_queue), # pyright: ignore[reportArgumentType]
)
def _handle_future_result(
self,
future: "asyncio.Future[Any]",
local_result_queue: "queue.Queue[tuple[Optional[Any], Optional[Exception]]]",
) -> None: # pragma: no cover
"""Handles the result or exception from the completed future."""
try:
result = future.result()
local_result_queue.put((result, None))
except Exception as e: # noqa: BLE001
local_result_queue.put((None, e))
class Portal:
def __init__(self, provider: "PortalProvider") -> None:
self._provider = provider
def call(self, func: "Callable[..., Coroutine[Any, Any, _R]]", *args: Any, **kwargs: Any) -> _R:
"""Calls an async function using the associated PortalProvider."""
return self._provider.call(func, *args, **kwargs)
python-advanced-alchemy-0.34.0/advanced_alchemy/utils/text.py 0000664 0000000 0000000 00000002702 14763441450 0024260 0 ustar 00root root 0000000 0000000 """General utility functions."""
import re
import unicodedata
from typing import Optional
__all__ = (
"check_email",
"slugify",
)
def check_email(email: str) -> str:
"""Validate an email."""
if "@" not in email:
msg = "Invalid email!"
raise ValueError(msg)
return email.lower()
def slugify(value: str, allow_unicode: bool = False, separator: Optional[str] = None) -> str:
"""Slugify.
Convert to ASCII if ``allow_unicode`` is ``False``. Convert spaces or repeated
dashes to single dashes. Remove characters that aren't alphanumerics,
underscores, or hyphens. Convert to lowercase. Also strip leading and
trailing whitespace, dashes, and underscores.
Args:
value (str): the string to slugify
allow_unicode (bool, optional): allow unicode characters in slug. Defaults to False.
separator (str, optional): by default a `-` is used to delimit word boundaries.
Set this to configure something different.
Returns:
str: a slugified string of the value parameter
"""
if allow_unicode:
value = unicodedata.normalize("NFKC", value)
else:
value = unicodedata.normalize("NFKD", value).encode("ascii", "ignore").decode("ascii")
value = re.sub(r"[^\w\s-]", "", value.lower())
if separator is not None:
return re.sub(r"[-\s]+", "-", value).strip("-_").replace("-", separator)
return re.sub(r"[-\s]+", "-", value).strip("-_")
python-advanced-alchemy-0.34.0/codecov.yml 0000664 0000000 0000000 00000000253 14763441450 0020457 0 ustar 00root root 0000000 0000000 coverage:
status:
project:
default:
target: auto
threshold: 2%
patch:
default:
target: auto
comment:
require_changes: true
python-advanced-alchemy-0.34.0/docs/ 0000775 0000000 0000000 00000000000 14763441450 0017242 5 ustar 00root root 0000000 0000000 python-advanced-alchemy-0.34.0/docs/Makefile 0000664 0000000 0000000 00000001172 14763441450 0020703 0 ustar 00root root 0000000 0000000 # Minimal makefile for Sphinx documentation
#
# You can set these variables from the command line, and also
# from the environment for the first two.
SPHINXOPTS ?=
SPHINXBUILD ?= sphinx-build
SOURCEDIR = .
BUILDDIR = _build
# Put it first so that "make" without argument is like "make help".
help:
@$(SPHINXBUILD) -M help "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)
.PHONY: help Makefile
# Catch-all target: route all unknown targets to Sphinx using the new
# "make mode" option. $(O) is meant as a shortcut for $(SPHINXOPTS).
%: Makefile
@$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)
python-advanced-alchemy-0.34.0/docs/PYPI_README.md 0000664 0000000 0000000 00000002234 14763441450 0021363 0 ustar 00root root 0000000 0000000
[litestar-org]: https://github.com/litestar-org
[contributing]: https://docs.advanced-alchemy.litestar.dev/latest/contribution-guide.html
[discord]: https://discord.gg/litestar
[litestar-discussions]: https://github.com/orgs/litestar-org/discussions
[project-discussions]: https://github.com/litestar-org/advanced-alchemy/discussions
[project-docs]: https://docs.advanced-alchemy.litestar.dev
[install-guide]: https://docs.advanced-alchemy.litestar.dev/latest/#installation
[fastapi-example]: https://github.com/litestar-org/advanced-alchemy/blob/main/examples/fastapi_service.py
[flask-example]: https://github.com/litestar-org/advanced-alchemy/blob/main/examples/flask/flask_services.py
[litestar-example]: https://github.com/litestar-org/advanced-alchemy/blob/main/examples/litestar.py
[standalone-example]: https://github.com/litestar-org/advanced-alchemy/blob/main/examples/standalone.py
python-advanced-alchemy-0.34.0/docs/__init__.py 0000664 0000000 0000000 00000000000 14763441450 0021341 0 ustar 00root root 0000000 0000000 python-advanced-alchemy-0.34.0/docs/_static/ 0000775 0000000 0000000 00000000000 14763441450 0020670 5 ustar 00root root 0000000 0000000 python-advanced-alchemy-0.34.0/docs/_static/aa-banner-dark.svg 0000664 0000000 0000000 00000041470 14763441450 0024162 0 ustar 00root root 0000000 0000000
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python-advanced-alchemy-0.34.0/docs/_static/custom.css 0000664 0000000 0000000 00000006361 14763441450 0022722 0 ustar 00root root 0000000 0000000 /* Theme color definitions */
:root {
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--brand-font-size-lg: 5rem;
--brand-font-size-md: 4rem;
--brand-font-size-sm: 2.5rem;
--brand-font-size-xs: 1.8rem;
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--brand-letter-spacing-md: 0.1em;
--brand-letter-spacing-sm: 0.05em;
--brand-letter-spacing-xs: 0.03em;
}
html.light {
--sl-color-primary: #202235;
--sl-color-secondary: #edb641;
--sl-color-accent: #ffd480;
--sl-color-text-1: var(--sl-color-primary);
--sl-color-text-2: var(--sl-color-secondary);
--sy-c-foot-background: #f0f0f0;
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--brand-text-glow: 0 0 10px rgba(32, 34, 53, 0.3),
0 0 20px rgba(32, 34, 53, 0.2), 0 0 30px rgba(237, 182, 65, 0.1);
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html.dark {
--sl-color-text-1: var(--sl-color-secondary);
--sy-c-foot-background: black;
--yue-c-text: #fff;
--brand-text-glow: 0 0 10px rgba(237, 182, 65, 0.4),
0 0 20px rgba(237, 182, 65, 0.3), 0 0 30px rgba(237, 182, 65, 0.2);
}
.title-with-logo {
display: flex;
align-items: center;
justify-content: center;
margin: 5rem auto 4rem;
width: 100%;
padding: 0 2rem;
user-select: none;
-webkit-user-select: none;
-moz-user-select: none;
-ms-user-select: none;
}
html[class] .title-with-logo .brand-text {
font-family: var(--sl-font-sans);
font-weight: 300;
font-size: var(--brand-font-size-lg);
letter-spacing: var(--brand-letter-spacing-xl);
text-transform: uppercase;
text-align: center;
line-height: 1.4;
max-width: 100%;
word-break: break-word;
word-wrap: break-word;
overflow-wrap: break-word;
hyphens: auto;
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transition: color var(--sl-transition), text-shadow var(--sl-transition);
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html.light .title-with-logo .brand-text {
color: var(--sl-color-text-1);
text-shadow: var(--brand-text-glow);
}
html.dark .title-with-logo .brand-text {
color: var(--sl-color-text-2);
text-shadow: var(--brand-text-glow);
}
/* Large screens */
@media (min-width: 1200px) {
html[class] .title-with-logo .brand-text {
font-size: var(--brand-font-size-xl);
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}
/* Medium-small screens */
@media (max-width: 991px) {
html[class] .title-with-logo .brand-text {
font-size: var(--brand-font-size-md);
letter-spacing: var(--brand-letter-spacing-lg);
}
}
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@media (max-width: 767px) {
html[class] .title-with-logo .brand-text {
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letter-spacing: var(--brand-letter-spacing-md);
}
html[class] .title-with-logo {
margin: 2rem auto 1.5rem;
}
}
/* Extra small screens */
@media (max-width: 480px) {
html[class] .title-with-logo .brand-text {
font-size: var(--brand-font-size-xs);
letter-spacing: var(--brand-letter-spacing-sm);
line-height: 1.2;
}
html[class] .title-with-logo {
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padding: 0 1rem;
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}
/* Smallest screens */
@media (max-width: 360px) {
html[class] .title-with-logo .brand-text {
font-size: var(--brand-font-size-xxs);
letter-spacing: var(--brand-letter-spacing-xs);
}
}
/* Preserve existing layout styles */
#badges img {
margin-top: 0;
margin-bottom: 0;
}
#badges {
display: flex;
flex-wrap: wrap;
gap: 10px;
margin-bottom: 3em;
}
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python-advanced-alchemy-0.34.0/docs/changelog.rst 0000664 0000000 0000000 00000042007 14763441450 0021726 0 ustar 00root root 0000000 0000000 :orphan:
0.x Changelog
=============
.. changelog:: 0.34.0
:date: 2025-03-10
.. change:: allow custom `not_found` error messages
:type: feature
:pr: 417
:issue: 391
Enhance the SQLAlchemy exception wrapper to handle NotFoundError with custom error messages and improved error handling. This includes:
- Adding a 'not_found' key to ErrorMessages type
- Extending wrap_sqlalchemy_exception to catch and handle NotFoundError
- Updating default error message templates with a not_found message
- Adding unit tests for custom NotFoundError handling
.. change:: Refactor Sanic extension for multi-config support
:type: feature
:pr: 415
:issue: 375
This commit refactors the Sanic extension for Advanced Alchemy:
- Refactored configuration handling with support for multiple database configurations
- Added methods for retrieving async and sync sessions, engines, and configs
- Improved dependency injection with new provider methods
- Simplified extension initialization and registration
- Updated example and test files to reflect new extension structure
- Removed deprecated methods and simplified the extension interface
.. changelog:: 0.33.2
:date: 2025-03-09
.. change:: simplify session type hints in service providers
:type: bugfix
:pr: 414
Remove unnecessary scoped session type hints from service provider functions.
Prevents the following exception from being incorrectly raised:
`TypeError: Type unions may not contain more than one custom type - type typing.Union[sqlalchemy.ext.asyncio.session.AsyncSession, sqlalchemy.ext.asyncio.scoping.async_scoped_session[sqlalchemy.ext.asyncio.session.AsyncSession], NoneType] is not supported.`
.. changelog:: 0.33.1
:date: 2025-03-07
.. change:: add session to namespace signature
:type: feature
:pr: 412
The new filter providers expect that the sessions are in the signature namespace. This ensures there are no issues when configuring the plugin.
.. changelog:: 0.33.0
:date: 2025-03-07
.. change:: Add dependency factory utilities
:type: feature
:pr: 405
Introduces a new module `advanced_alchemy.extensions.litestar.providers` with comprehensive dependency injection utilities for SQLAlchemy services in Litestar. The module provides:
- Dynamic filter configuration generation
- Dependency caching mechanism
- Flexible filter and pagination support
- Singleton metaclass for dependency management
- Configurable filter and search dependencies
.. changelog:: 0.32.2
:date: 2025-02-26
.. change:: Litestar extension: Use ``SerializationPlugin`` instead of ``SerializationPluginProtocol``
:type: misc
:pr: 401
Use ``SerializationPlugin`` instead of ``SerializationPluginProtocol``
.. changelog:: 0.32.1
:date: 2025-02-26
.. change:: Litestar extension: Use ``CLIPlugin`` instead of ``CLIPluginProtocol``
:type: misc
:pr: 399
Internal change migrating from using Litestar's ``CLIPluginProtocol`` to
``CLIPlugin``.
.. changelog:: 0.32.0
:date: 2025-02-23
.. change:: remove `limit` and `offset` from count statement
:type: bugfix
:pr: 395
Remove `limit` and `offset` from count statement
.. change:: rename `force_basic_query_mode`
:type: misc
:pr: 396
Renames `force_basic_query_mode` to `count_with_window_function`. This is also exposed as a class/init parameter for the service and repository.
.. change:: add Enum to default type decoders
:type: feature
:pr: 397
Extends the default `msgspec` type decoders to handle Enum types by converting them to their underlying value during serialization
.. changelog:: 0.31.0
:date: 2025-02-18
.. change:: Fix reference in `changelog.py`
:type: bugfix
:pr: 383
Should link to the AA repo, not litestar :)
.. change:: Query repository list method for custom queries
:type: bugfix
:pr: 379
:issue: 338
Fix query repositories list method according to [documentation](https://docs.advanced-alchemy.litestar.dev/latest/usage/repositories.html#query-repository).
Now its return a list of tuples with values instead of first column of the query.
.. change:: remove 3.8 support
:type: misc
:pr: 386
Removes 3.8 support and removes future annotations in a few places for better compatibility
.. change:: remove future annotations
:type: feature
:pr: 387
This removes the usage of future annotations.
.. change:: add `uniquify` to service and repo
:type: feature
:pr: 389
Exposes the `uniquify` flag in all functions on the repository and add to the service
.. change:: improved default serializer
:type: feature
:pr: 390
Improves the default serializer so that it handles various types a bit better
.. changelog:: 0.30.3
:date: 2025-01-26
.. change:: add `wrap_exceptions` option to exception handler.
:type: feature
:pr: 363
:issue: 356
When `wrap_exceptions` is `False`, the original SQLAlchemy error message will be raised instead of the wrapped Repository error
Fixes #356 (Bug: `wrap_sqlalchemy_exception` masks db errors)
.. change:: simplify configuration hash
:type: feature
:pr: 366
The hashing method on the SQLAlchemy configs can be simplified. This should be enough to define a unique configuration.
.. change:: use `lifespan` context manager in Starlette and FastAPI
:type: bugfix
:pr: 368
:issue: 367
Modifies the Starlette and FastAPI integrations to use the `lifespan` context manager instead of the `startup`\`shutdown` hooks. If the application already has a lifespan set, it is wrapped so that both execute.
.. changelog:: 0.30.2
:date: 2025-01-21
.. change:: add hash to config classes
:type: feature
:pr: 358
:issue: 357
Adds hash function to `SQLAlchemySyncConfig` and `SQLAlchemyAsyncConfig` classes.
.. changelog:: 0.30.1
:date: 2025-01-20
.. change:: Using init db CLI command creates migrations directory in unexpected place
:type: bugfix
:pr: 354
:issue: 351
When initializing migrations with the CLI, if no directory is specified, the directory from the configuration will be used.
.. changelog:: 0.30.0
:date: 2025-01-19
.. change:: standardize on `autocommit_include_redirect`
:type: bugfix
:pr: 349
The flask plugin incorrectly used the term `autocommit_with_redirect` instead of the existing `autocommit_include_redirect`.
This changes makes the name consistent before we bump to a `1.x` release
.. change:: implement default schema serializer
:type: bugfix
:pr: 350
This corrects an issue that caused the Flask extension to use the incorrect serializer for encoding JSON
.. change:: refactored integration with CLI support
:type: feature
:pr: 352
Refactored the Starlette and FastAPI integration to support multiple configurations and sessions. Additionally, FastAPI will now have the database commands automatically registered with the FastAPI CLI.
.. change:: reorganize Sanic extension
:type: feature
:pr: 353
The Sanic integration now aligns with the structure and idioms used in the other integrations.
.. changelog:: 0.29.1
:date: 2025-01-17
.. change:: add convenience hooks for `to_model` operations
:type: feature
:pr: 347
The service layer has always has a `to_model` function that accepts data and optionally an operation name. It would return a SQLAlchemy model no matter the input you gave it.
It is possible to move business logic into this `to_model` layer for populating fields on insert. (i.e. slug fields or tags, etc.).
When having logic for `insert`, `update`, `delete`, and `upsert`, that function can be a bit overwhelcoming. Now, there are helper functions that you can use that is specific to each DML hook:
* `to_model_on_create`
* `to_model_on_update`
* `to_model_on_delete`
* `to_model_on_upsert`
.. changelog:: 0.29.0
:date: 2025-01-17
.. change:: fully qualify all `datetime` module references
:type: bugfix
:pr: 341
All date time references are now full qualified to prevent any forward resolution issues with
`from datetime import datetime`
and
`import datetime`
.. change:: disabled `timezone` in alembic.ini
:type: bugfix
:pr: 344
Disabled `timezone` in alembic.ini to fix `alembic.util.exc.CommandError: Can't locate timezone: UTC` error while applying migrations
Reference:
https://alembic.sqlalchemy.org/en/latest/tutorial.html#editing-the-ini-file
.. change:: various typing improvements for services
:type: feature
:pr: 342
:issue: 261
Improved typing in the service layer and adds a additional type guards.
.. change:: Auto extend Flask CLI and add session integration
:type: feature
:pr: 111
The Advanced Alchemy alembic CLI is now auto-extended to your Flask application.
The Flask extension now also has a session handling middleware for handling auto-commits.
Last, but not least, there's an experimental async portal that integrates a long running asyncio loop for running async operations in Flask. Using `foo = portal.call()` you can get the result of an asynchronous function from a sync context.
.. changelog:: 0.28.0
:date: 2025-01-13
.. change:: add `bind-key` option to CLI
:type: feature
:pr: 339
Adds a `bind-key` option to the Advance Alchemy CLI groups.
When present, the Alembic configs will be injected with the corresponding key.
.. changelog:: 0.27.1
:date: 2025-01-11
.. change:: correction for `3.8` and `3.9` type hints
:type: bugfix
:pr: 330
Makes a few corrections to type hints in examples and tests to ensure 3.8 and 3.9 support
.. changelog:: 0.27.0
:date: 2025-01-11
.. change:: add `error_messages` as class level configuration
:type: feature
:pr: 315
Exposes ``error_messages`` as a class level configuration in the repository and service classes.
.. change:: implement reusable CLI
:type: feature
:pr: 320
Exposes a reusable CLI for creating and updating releases. This can be used to extend any existing Click or Typer CLI.
.. change:: adds additional type guard helpers
:type: feature
:pr: 322
Addition typing utilities to help with type checking and validation.
.. changelog:: 0.26.0
:date: 2025-01-11
.. change:: `AsyncAttrs` & remove `noload` default
:type: feature
:pr: 305
This PR adds the `AsyncAttrs` to the default declarative bases for convenience.
It also changes the `inherit_lazy_relationships == False` behavior to use `lazyload`. SQLAlchemy will be deprecating `noload` in version 2.1
.. change:: `litestar` DTO enhancements
:type: feature
:pr: 310
:issue: 306
The Litestar DTO has been enhanced with:
- The SQLAlchemyDTOConfig's `exclude`, `include`, and `rename_fields` fields will now accept string or `InstrumentedAttributes`
- DTO supports `WriteOnlyMapped` and `DynamicMapped`
.. change:: add default exception handler for `litestar` integration
:type: feature
:pr: 308
:issue: 275
This adds a configuration option to automatically enable an exception handler for Repository errors.
This will update the exception handler if you do not have one already configured for the RepositoryException class
.. changelog:: 0.25.0
:date: 2025-01-11
.. change:: add max length for encrypted string
:type: feature
:pr: 290
The EncryptedString field now has the ability to validate against a set length.
.. change:: `AsyncAttrs` & remove `noload` default
:type: feature
:pr: 305
This PR adds the `AsyncAttrs` to the default declarative bases for convenience.
It also changes the `inherit_lazy_relationships == False` behavior to use `lazyload`. SQLAlchemy will be deprecating `noload` in version 2.1
.. changelog:: 0.24.0
:date: 2025-01-11
.. change:: remove lambda statement usage
:type: feature
:pr: 288
:issue: 286, 287
Removes the use of lambda statements in the repository and service classes. This has no change on the end user API, however, it should remove strange queries errors seen.
.. changelog:: 0.23.0
:date: 2025-01-11
.. change:: regression caused by conditional import Sequence for pagination.py
:type: bugfix
:pr: 274
:issue: 272
Import Sequence directly from collections.abc
Remove conditional import using TYPE_CHECKING
Add noqa comment to suppress potential linter warnings
.. change:: make sure `anyio` is optional
:type: bugfix
:pr: 278
When running standalone or with a synchronous web framework, `anyio` is not required. This PR ensures that there are no module loading failures due to the missing import.
.. change:: Improved typing of `ModelDictT`
:type: feature
:pr: 277
Fixes typing issues in service
https://github.com/litestar-org/advanced-alchemy/issues/265
This still doesn't solve the problem of UnknownVariableType if the subtypes of ModelDictT are not installed (eg: Pydantic)
But at least it solves the problem of incompatibilities when they are installed
.. changelog:: 0.22.0
:date: 2025-01-11
.. change:: CLI argument adjustment
:type: bugfix
:pr: 270
Changes the argument name so that it matches the name given in `click.option`.
.. changelog:: 0.21.0
:date: 2025-01-11
.. change:: bind session to session class instead of to the session maker
:type: bugfix
:pr: 268
:issue: 267
binds session into sanic extension as expected
in the original code, session maker was defined and then the dependency for session overwrites it with a session maker as the type. this seems non-ideal -- you can't get the session maker and when you ask for the session maker you get a session object
instead, this looks at the sessionmaker `class_` property for adding the sanic dependency
.. change:: correct regex mappings for duplicate and foreign key errors
:type: bugfix
:pr: 266
:issue: 262
Swap the variable names for DUPLICATE_KEY_REGEXES and FOREIGN_KEY_REGEXES to correctly match their contents.
This ensures that the error detection for duplicate keys and foreign key violations works as intended across different database backends.
.. change:: Dump all tables as JSON
:type: feature
:pr: 259
Adds a new CLI command to export tables to JSON. Similar to a Django dumpdata command.
.. changelog:: <=0.20.0
:date: 2025-01-11
.. change:: CollectionFilter returns all entries if values is empty
:type: bugfix
:pr: 52
:issue: 51
Fixes #51
Bug: CollectionFilter returns all entries if values is empty
a simple `1=-1` is appended into the `where` clause when an empty list is passed into the `in` statement.
.. change:: better handle empty collection filters
:type: bugfix
:pr: 62
Currently, [this](https://github.com/cofin/litestar-fullstack/blob/main/src/app/lib/dependencies.py#L169) is how you can inject these filters in your app.
When using the `id_filter` dependency on it's own, you have to have an additional not-null check before passing it into the repository.
This change handles that and allows you to pass in all filters into the repository function without checking their nullability.
.. change:: service `exists` should use `exists` from repository
:type: bugfix
:pr: 68
The service should use the repository's implementation of `exists` instead of a new one with a `count`.
.. change:: do not set `id` with `item_id` when `None`
:type: bugfix
:pr: 67
This PR prevents the primary key from being overrwitten with `None` when using the service without the `item_id` parameter.
.. change:: sqlalchemy dto for models non `Column` fields
:type: bugfix
:pr: 75
Examples of such fields are `ColumnClause` and `Label`, these are generated when using `sqlalchemy.func`
- Fix SQLAlchemy dto generation for litestar when using models that have fields that are not instances of `Column`. Such fields arise from using expressions such as `func`.
python-advanced-alchemy-0.34.0/docs/conf.py 0000664 0000000 0000000 00000027421 14763441450 0020547 0 ustar 00root root 0000000 0000000 # Configuration file for the Sphinx documentation builder.
# ruff: noqa: FIX002 PLR0911 ARG001 ERA001
from __future__ import annotations
import datetime
import os
import warnings
from functools import partial
from typing import TYPE_CHECKING, Any
from sqlalchemy.exc import SAWarning
from advanced_alchemy.__metadata__ import __project__, __version__
if TYPE_CHECKING:
from typing import Any
from sphinx.addnodes import document # type: ignore[attr-defined,unused-ignore]
from sphinx.application import Sphinx
# -- Environmental Data ------------------------------------------------------
warnings.filterwarnings("ignore", category=SAWarning)
# -- Project information -----------------------------------------------------
current_year = datetime.datetime.now().year # noqa: DTZ005
project = __project__
copyright = f"{current_year}, Litestar Organization" # noqa: A001
release = os.getenv("_ADVANCED-ALCHEMY_DOCS_BUILD_VERSION", __version__.rsplit(".")[0])
suppress_warnings = [
"autosectionlabel.*",
"ref.python", # TODO: remove when https://github.com/sphinx-doc/sphinx/issues/4961 is fixed
]
# -- General configuration ---------------------------------------------------
extensions = [
"sphinx.ext.intersphinx",
"sphinx.ext.autodoc",
"sphinx.ext.napoleon",
"sphinx.ext.autosectionlabel",
"sphinx.ext.githubpages",
"sphinx.ext.viewcode",
"tools.sphinx_ext.missing_references",
"tools.sphinx_ext.changelog",
"sphinx_autodoc_typehints",
"myst_parser",
"auto_pytabs.sphinx_ext",
"sphinx_copybutton",
"sphinx.ext.todo",
"sphinx.ext.viewcode",
"sphinx_click",
"sphinx_toolbox.collapse",
"sphinx_design",
"sphinx_togglebutton",
"sphinx_paramlinks",
]
exclude_patterns = ["_build", "Thumbs.db", ".DS_Store"]
intersphinx_mapping = {
"python": ("https://docs.python.org/3", None),
"msgspec": ("https://jcristharif.com/msgspec/", None),
"sqlalchemy": ("https://docs.sqlalchemy.org/en/20/", None),
"alembic": ("https://alembic.sqlalchemy.org/en/latest/", None),
"litestar": ("https://docs.litestar.dev/latest/", None),
"click": ("https://click.palletsprojects.com/en/stable/", None),
"anyio": ("https://anyio.readthedocs.io/en/stable/", None),
"multidict": ("https://multidict.aio-libs.org/en/stable/", None),
"cryptography": ("https://cryptography.io/en/latest/", None),
"pydantic": ("https://docs.pydantic.dev/latest/", None),
"sanic": ("https://sanic.readthedocs.io/en/latest/", None),
"flask": ("https://flask.palletsprojects.com/en/stable/", None),
"typing_extensions": ("https://typing-extensions.readthedocs.io/en/stable/", None),
}
PY_CLASS = "py:class"
PY_EXC = "py:exc"
PY_RE = r"py:.*"
PY_METH = "py:meth"
PY_ATTR = "py:attr"
PY_OBJ = "py:obj"
PY_FUNC = "py:func"
nitpicky = True
nitpick_ignore: list[str] = []
nitpick_ignore_regex: list[str] = []
auto_pytabs_min_version = (3, 9)
auto_pytabs_max_version = (3, 13)
napoleon_google_docstring = True
napoleon_include_special_with_doc = True
napoleon_use_admonition_for_examples = True
napoleon_use_admonition_for_notes = True
napoleon_use_admonition_for_references = False
napoleon_attr_annotations = True
autoclass_content = "class"
autodoc_class_signature = "separated"
autodoc_default_options = {"special-members": "__init__", "show-inheritance": True, "members": True}
autodoc_member_order = "bysource"
autodoc_typehints_format = "short"
autodoc_type_aliases = {
"ModelT": "advanced_alchemy.repository.typing.ModelT",
"FilterTypeT": "advanced_alchemy.filters.FilterTypeT",
"StatementTypeT": "advanced_alchemy.filters.StatementTypeT",
"EngineT": "sqlalchemy.engine.Engine",
"AsyncEngineT": "sqlalchemy.ext.asyncio.AsyncEngine",
"SessionT": "sqlalchemy.orm.Session",
"AsyncSessionT": "sqlalchemy.ext.asyncio.AsyncSession",
"ConnectionT": "sqlalchemy.engine.Connection",
"AsyncConnectionT": "sqlalchemy.ext.asyncio.AsyncConnection",
"Mapper": "sqlalchemy.orm.Mapper",
"Registry": "sqlalchemy.orm.registry",
"RegistryType": "sqlalchemy.orm.registry",
"Table": "sqlalchemy.schema.Table",
"MetaData": "sqlalchemy.schema.MetaData",
"FilterableRepository": "advanced_alchemy.repository._util.FilterableRepository",
"SQLAlchemyAsyncRepositoryProtocol": "advanced_alchemy.repository._async.SQLAlchemyAsyncRepositoryProtocol",
"SQLAlchemyAsyncRepository": "advanced_alchemy.repository.SQLAlchemyAsyncRepository",
"SQLAlchemySyncRepositoryProtocol": "advanced_alchemy.repository._sync.SQLAlchemySyncRepositoryProtocol",
"SQLAlchemySyncRepository": "advanced_alchemy.repository.SQLAlchemySyncRepository",
"SQLAlchemyAsyncSlugRepositoryProtocol": "advanced_alchemy.repository._async.SQLAlchemyAsyncSlugRepositoryProtocol",
"SQLAlchemySyncSlugRepositoryProtocol": "advanced_alchemy.repository._sync.SQLAlchemySyncSlugRepositoryProtocol",
"ModelOrRowMappingT": "advanced_alchemy.repository.ModelOrRowMappingT",
"ModelDTOT": "advanced_alchemy.service.ModelDTOT",
"DTOData": "litestar.dto.data_structures.DTOData",
"InstrumentedAttribute": "sqlalchemy.orm.attributes.InstrumentedAttribute",
"BaseModel": "pydantic.BaseModel",
"Struct": "msgspec.Struct",
"TableArgsType": "sqlalchemy.orm.decl_base._TableArgsType",
"DateTimeUTC": "advanced_alchemy.types.DateTimeUTC",
"TypeEngine": "sqlalchemy.types.TypeEngine",
"DeclarativeBase": "sqlalchemy.orm.DeclarativeBase",
"UUIDBase": "advanced_alchemy.base.UUIDBase",
"NanoIDBase": "advanced_alchemy.base.NanoIDBase",
"BigIntBase": "advanced_alchemy.base.BigIntBase",
"BigIntAuditBase": "advanced_alchemy.base.BigIntAuditBase",
"DefaultBase": "advanced_alchemy.base.DefaultBase",
"SQLQuery": "advanced_alchemy.base.SQLQuery",
"UUIDv6PrimaryKey": "advanced_alchemy.base.UUIDv6PrimaryKey",
"UUIDv7PrimaryKey": "advanced_alchemy.base.UUIDv7PrimaryKey",
"NanoIDPrimaryKey": "advanced_alchemy.base.NanoIDPrimaryKey",
"BigIntPrimaryKey": "advanced_alchemy.base.BigIntPrimaryKey",
"CommonTableAttributes": "advanced_alchemy.base.CommonTableAttributes",
"AuditColumns": "advanced_alchemy.base.AuditColumns",
"UUIDPrimaryKey": "advanced_alchemy.base.UUIDPrimaryKey",
"EngineConfig": "advanced_alchemy.config.EngineConfig",
"AsyncSessionConfig": "advanced_alchemy.config.AsyncSessionConfig",
"SyncSessionConfig": "advanced_alchemy.config.SyncSessionConfig",
"EmptyType": "advanced_alchemy.utils.dataclass.EmptyType",
"async_sessionmaker": "sqlalchemy.ext.asyncio.async_sessionmaker",
"sessionmaker": "sqlalchemy.orm.sessionmaker",
"SlugMixin": "advanced_alchemy.mixins.slug.SlugKey",
"UniqueMixin": "advanced_alchemy.mixins.unique.UniqueMixin",
"AsyncEngine": "sqlalchemy.ext.asyncio.AsyncEngine",
"Engine": "sqlalchemy.engine.Engine",
"sqlalchemy": "sqlalchemy",
"RenameStrategy": "litestar.dto.types.RenameStrategy",
"Union": "typing.Union",
"Callable": "typing.Callable",
"Any": "typing.Any",
"Optional": "typing.Optional",
"_EchoFlagType": "advanced_alchemy.config._EchoFlagType",
}
autodoc_mock_imports = [
"alembic",
"sanic_ext.Extend",
"sanic",
"sqlalchemy.ext.asyncio.engine.create_async_engine",
"_sa.create_engine._sphinx_paramlinks_creator",
"sqlalchemy.Dialect",
"sqlalchemy.orm.MetaData",
# Add these new entries:
"advanced_alchemy.config.engine.EngineConfig",
"advanced_alchemy.config.asyncio.AsyncSessionConfig",
"advanced_alchemy.config.sync.SyncSessionConfig",
"advanced_alchemy.utils.dataclass.EmptyType",
"advanced_alchemy.extensions.litestar.plugins.init.config.engine.EngineConfig",
"sqlalchemy.ext.asyncio",
"sqlalchemy.engine",
"sqlalchemy.orm",
]
autosectionlabel_prefix_document = True
# Strip the dollar prompt when copying code
# https://sphinx-copybutton.readthedocs.io/en/latest/use.html#strip-and-configure-input-prompts-for-code-cells
copybutton_prompt_text = "$ "
# -- Style configuration -----------------------------------------------------
html_theme = "shibuya"
html_title = "Advanced Alchemy"
html_short_title = "AA"
pygments_style = "dracula"
todo_include_todos = True
html_static_path = ["_static"]
html_favicon = "_static/favicon.png"
templates_path = ["_templates"]
html_js_files = ["versioning.js"]
html_css_files = ["custom.css"]
exclude_patterns = ["_build", "Thumbs.db", ".DS_Store", "PYPI_README.md"]
html_show_sourcelink = True
html_copy_source = True
html_context = {
"source_type": "github",
"source_user": "litestar-org",
"source_repo": "advanced-alchemy",
"current_version": "latest",
"version": release,
}
html_theme_options = {
"logo_target": "/",
"accent_color": "amber",
"github_url": "https://github.com/litestar-org/advanced-alchemy",
"discord_url": "https://discord.gg/dSDXd4mKhp",
"navigation_with_keys": True,
"globaltoc_expand_depth": 2,
"light_logo": "_static/logo-default.png",
"dark_logo": "_static/logo-default.png",
"discussion_url": "https://discord.gg/dSDXd4mKhp",
"nav_links": [
{"title": "Home", "url": "index"},
{
"title": "About",
"children": [
{
"title": "Changelog",
"url": "changelog",
"summary": "All changes for Advanced Alchemy",
},
{
"title": "Litestar Organization",
"summary": "Details about the Litestar organization, the team behind Advanced Alchemy",
"url": "https://litestar.dev/about/organization",
"icon": "org",
},
{
"title": "Releases",
"summary": "Explore the release process, versioning, and deprecation policy for Advanced Alchemy",
"url": "releases",
"icon": "releases",
},
{
"title": "Contributing",
"summary": "Learn how to contribute to the Advanced Alchemy project",
"url": "contribution-guide",
"icon": "contributing",
},
{
"title": "Code of Conduct",
"summary": "Review the etiquette for interacting with the Advanced Alchemy community",
"url": "https://github.com/litestar-org/.github?tab=coc-ov-file",
"icon": "coc",
},
{
"title": "Security",
"summary": "Overview of Advanced Alchemy's security protocols",
"url": "https://github.com/litestar-org/.github?tab=coc-ov-file#security-ov-file",
"icon": "coc",
},
{"title": "Sponsor", "url": "https://github.com/sponsors/Litestar-Org", "icon": "heart"},
],
},
{
"title": "Help",
"children": [
{
"title": "Discord Help Forum",
"summary": "Dedicated Discord help forum",
"url": "https://discord.gg/dSDXd4mKhp",
"icon": "coc",
},
{
"title": "GitHub Discussions",
"summary": "GitHub Discussions",
"url": "https://github.com/litestar-org/advanced-alchemy/discussions",
"icon": "coc",
},
],
},
],
}
def update_html_context(
_app: Sphinx,
_pagename: str,
_templatename: str,
context: dict[str, Any],
_doctree: document,
) -> None:
context["generate_toctree_html"] = partial(context["generate_toctree_html"], startdepth=0)
def setup(app: Sphinx) -> dict[str, bool]:
app.setup_extension("shibuya")
return {"parallel_read_safe": True, "parallel_write_safe": True}
python-advanced-alchemy-0.34.0/docs/contribution-guide.rst 0000664 0000000 0000000 00000000053 14763441450 0023604 0 ustar 00root root 0000000 0000000 :orphan:
.. include:: ../CONTRIBUTING.rst
python-advanced-alchemy-0.34.0/docs/getting-started.rst 0000664 0000000 0000000 00000004333 14763441450 0023104 0 ustar 00root root 0000000 0000000 ===============
Getting Started
===============
Advanced Alchemy is a carefully crafted, thoroughly tested, optimized companion library for :doc:`SQLAlchemy `.
It provides :doc:`base classes `, :doc:`mixins `, :doc:`custom column types `,
and implementations of the :doc:`repository ` and :doc:`service layer ` patterns
to simplify your database operations.
.. seealso:: It is built on:
* `SQLAlchemy `_
* `Alembic `_
* `Typing Extensions `_
It's designed to work on its own or with your favorite web framework.
We've built extensions for some of the most popular frameworks, so you can get the most out of Advanced Alchemy with minimal effort.
* `Litestar `_
* `FastAPI `_
* `Starlette `_
* `Flask `_
* `Sanic `_
If your framework is not listed, don't worry! Advanced Alchemy is designed to be modular and easily integrated with any Python web framework.
`Join our Discord `_ and we'll help you get started.
Installation
------------
Install ``advanced-alchemy`` with your favorite Python package manager:
.. tab-set::
.. tab-item:: pip
:sync: key1
.. code-block:: bash
:caption: Using pip
python3 -m pip install advanced-alchemy
.. tab-item:: uv
.. code-block:: bash
:caption: Using `UV `_
uv add advanced-alchemy
.. tab-item:: pipx
:sync: key2
.. code-block:: bash
:caption: Using `pipx `_
pipx install advanced-alchemy
.. tab-item:: pdm
.. code-block:: bash
:caption: Using `PDM `_
pdm add advanced-alchemy
.. tab-item:: Poetry
.. code-block:: bash
:caption: Using `Poetry `_
poetry add advanced-alchemy
python-advanced-alchemy-0.34.0/docs/index.rst 0000664 0000000 0000000 00000007442 14763441450 0021112 0 ustar 00root root 0000000 0000000 :layout: landing
:description: Advanced Alchemy is a carefully crafted, thoroughly tested, optimized companion library for SQLAlchemy.
.. container::
:name: home-head
.. container::
.. raw:: html
Advanced Alchemy
.. container:: badges
:name: badges
.. image:: https://img.shields.io/github/actions/workflow/status/litestar-org/advanced-alchemy/publish.yml?labelColor=202235&logo=github&logoColor=edb641&label=Release
:alt: GitHub Actions Latest Release Workflow Status
.. image:: https://img.shields.io/github/actions/workflow/status/litestar-org/advanced-alchemy/ci.yml?labelColor=202235&logo=github&logoColor=edb641&label=Tests%20And%20Linting
:alt: GitHub Actions CI Workflow Status
.. image:: https://img.shields.io/github/actions/workflow/status/litestar-org/advanced-alchemy/docs.yml?labelColor=202235&logo=github&logoColor=edb641&label=Docs%20Build
:alt: GitHub Actions Docs Build Workflow Status
.. image:: https://img.shields.io/codecov/c/github/litestar-org/advanced-alchemy?labelColor=202235&logo=codecov&logoColor=edb641&label=Coverage
:alt: Coverage
.. image:: https://img.shields.io/pypi/v/advanced-alchemy?labelColor=202235&color=edb641&logo=python&logoColor=edb641
:alt: PyPI Version
.. image:: https://img.shields.io/pypi/dm/advanced-alchemy?logo=python&label=advanced-alchemy%20downloads&labelColor=202235&color=edb641&logoColor=edb641
:alt: PyPI Downloads
.. image:: https://img.shields.io/pypi/pyversions/advanced-alchemy?labelColor=202235&color=edb641&logo=python&logoColor=edb641
:alt: Supported Python Versions
.. rst-class:: lead
Advanced Alchemy is a carefully crafted, thoroughly tested, optimized companion library for
:doc:`SQLAlchemy `.
It provides :doc:`base classes `, :doc:`mixins `, :doc:`custom column types `,
and implementations of the :doc:`repository ` and :doc:`service layer ` patterns
to simplify your database operations.
.. container:: buttons
:doc:`Get Started `
`Usage Docs `_
`API Docs `_
.. grid:: 1 1 2 2
:padding: 0
:gutter: 2
.. grid-item-card:: :octicon:`versions` Changelog
:link: changelog
:link-type: doc
The latest updates and enhancements to Advanced-Alchemy
.. grid-item-card:: :octicon:`comment-discussion` Discussions
:link: https://github.com/litestar-org/advanced-alchemy/discussions
Join discussions, pose questions, or share insights.
.. grid-item-card:: :octicon:`issue-opened` Issues
:link: https://github.com/litestar-org/advanced-alchemy/issues
Report issues or suggest new features.
.. grid-item-card:: :octicon:`beaker` Contributing
:link: contribution-guide
:link-type: doc
Contribute to Advanced Alchemy's growth with code, docs, and more.
.. _sponsor-github: https://github.com/sponsors/litestar-org
.. _sponsor-oc: https://opencollective.com/litestar
.. _sponsor-polar: https://polar.sh/litestar-org
.. toctree::
:titlesonly:
:caption: Documentation
:hidden:
getting-started
usage/index
reference/index
.. toctree::
:titlesonly:
:caption: Contributing
:hidden:
changelog
contribution-guide
Available Issues
Code of Conduct
python-advanced-alchemy-0.34.0/docs/reference/ 0000775 0000000 0000000 00000000000 14763441450 0021200 5 ustar 00root root 0000000 0000000 python-advanced-alchemy-0.34.0/docs/reference/alembic/ 0000775 0000000 0000000 00000000000 14763441450 0022574 5 ustar 00root root 0000000 0000000 python-advanced-alchemy-0.34.0/docs/reference/alembic/commands.rst 0000664 0000000 0000000 00000000134 14763441450 0025125 0 ustar 00root root 0000000 0000000 ========
commands
========
.. automodule:: advanced_alchemy.alembic.commands
:members:
python-advanced-alchemy-0.34.0/docs/reference/alembic/index.rst 0000664 0000000 0000000 00000000375 14763441450 0024442 0 ustar 00root root 0000000 0000000 =======
alembic
=======
API Reference for the ``Alembic`` module
.. note:: Private methods and attributes are not included in the API reference.
Available API References
------------------------
.. toctree::
:titlesonly:
commands
utils
python-advanced-alchemy-0.34.0/docs/reference/alembic/utils.rst 0000664 0000000 0000000 00000000120 14763441450 0024457 0 ustar 00root root 0000000 0000000 =====
utils
=====
.. automodule:: advanced_alchemy.alembic.utils
:members:
python-advanced-alchemy-0.34.0/docs/reference/base.rst 0000664 0000000 0000000 00000000372 14763441450 0022646 0 ustar 00root root 0000000 0000000 ====
base
====
.. automodule:: advanced_alchemy.base
:members:
:imported-members:
:undoc-members:
:show-inheritance:
:no-index: advanced_alchemy.base.AdvancedDeclarativeBase.registry advanced_alchemy.base.BasicAttributes.to_dict
python-advanced-alchemy-0.34.0/docs/reference/config/ 0000775 0000000 0000000 00000000000 14763441450 0022445 5 ustar 00root root 0000000 0000000 python-advanced-alchemy-0.34.0/docs/reference/config/asyncio.rst 0000664 0000000 0000000 00000000231 14763441450 0024640 0 ustar 00root root 0000000 0000000 =======
asyncio
=======
.. automodule:: advanced_alchemy.config.asyncio
:members:
:imported-members:
:undoc-members:
:show-inheritance:
python-advanced-alchemy-0.34.0/docs/reference/config/common.rst 0000664 0000000 0000000 00000000225 14763441450 0024466 0 ustar 00root root 0000000 0000000 ======
common
======
.. automodule:: advanced_alchemy.config.common
:members:
:imported-members:
:undoc-members:
:show-inheritance:
python-advanced-alchemy-0.34.0/docs/reference/config/engine.rst 0000664 0000000 0000000 00000000225 14763441450 0024443 0 ustar 00root root 0000000 0000000 ======
engine
======
.. automodule:: advanced_alchemy.config.engine
:members:
:imported-members:
:undoc-members:
:show-inheritance:
python-advanced-alchemy-0.34.0/docs/reference/config/index.rst 0000664 0000000 0000000 00000000427 14763441450 0024311 0 ustar 00root root 0000000 0000000 ======
config
======
API Reference for the ``Config`` module
.. note:: Private methods and attributes are not included in the API reference.
Available API References
------------------------
.. toctree::
:titlesonly:
asyncio
common
engine
sync
types
python-advanced-alchemy-0.34.0/docs/reference/config/sync.rst 0000664 0000000 0000000 00000000215 14763441450 0024151 0 ustar 00root root 0000000 0000000 ====
sync
====
.. automodule:: advanced_alchemy.config.sync
:members:
:imported-members:
:undoc-members:
:show-inheritance:
python-advanced-alchemy-0.34.0/docs/reference/config/types.rst 0000664 0000000 0000000 00000000221 14763441450 0024336 0 ustar 00root root 0000000 0000000 =====
types
=====
.. automodule:: advanced_alchemy.config.types
:members:
:imported-members:
:undoc-members:
:show-inheritance:
python-advanced-alchemy-0.34.0/docs/reference/exceptions.rst 0000664 0000000 0000000 00000000220 14763441450 0024105 0 ustar 00root root 0000000 0000000 ==========
exceptions
==========
.. automodule:: advanced_alchemy.exceptions
:members:
:no-index: ErrorMessages
:show-inheritance:
python-advanced-alchemy-0.34.0/docs/reference/extensions/ 0000775 0000000 0000000 00000000000 14763441450 0023377 5 ustar 00root root 0000000 0000000 python-advanced-alchemy-0.34.0/docs/reference/extensions/fastapi/ 0000775 0000000 0000000 00000000000 14763441450 0025026 5 ustar 00root root 0000000 0000000 python-advanced-alchemy-0.34.0/docs/reference/extensions/fastapi/index.rst 0000664 0000000 0000000 00000001506 14763441450 0026671 0 ustar 00root root 0000000 0000000 =======
fastapi
=======
API Reference for the ``FastAPI`` extensions module
.. note:: Private methods and attributes are not included in the API reference.
------------------------
.. automodule:: advanced_alchemy.extensions.fastapi
:imported-members:
advanced_alchemy.utils
advanced_alchemy.base
advanced_alchemy.exceptions
advanced_alchemy.filters
advanced_alchemy.mixins
advanced_alchemy.operations
advanced_alchemy.repository
advanced_alchemy.service
advanced_alchemy.types
advanced_alchemy.alembic.commands.AlembicCommands
advanced_alchemy.extensions.starlette.EngineConfig
advanced_alchemy.extensions.starlette.SQLAlchemyAsyncConfig
advanced_alchemy.extensions.starlette.SQLAlchemySyncConfig
:members:
:noindex:
python-advanced-alchemy-0.34.0/docs/reference/extensions/flask/ 0000775 0000000 0000000 00000000000 14763441450 0024477 5 ustar 00root root 0000000 0000000 python-advanced-alchemy-0.34.0/docs/reference/extensions/flask/index.rst 0000664 0000000 0000000 00000001464 14763441450 0026345 0 ustar 00root root 0000000 0000000 =====
flask
=====
API Reference for the ``Flask`` extensions module
.. note:: Private methods and attributes are not included in the API reference.
------------------------
.. automodule:: advanced_alchemy.extensions.flask
:imported-members:
advanced_alchemy.utils
advanced_alchemy.base
advanced_alchemy.exceptions
advanced_alchemy.filters
advanced_alchemy.mixins
advanced_alchemy.operations
advanced_alchemy.repository
advanced_alchemy.service
advanced_alchemy.types
advanced_alchemy.alembic.commands.AlembicCommands
:members:
AlembicAsyncConfig
AlembicSyncConfig
AsyncSessionConfig
EngineConfig
SQLAlchemyAsyncConfig
SQLAlchemySyncConfig
SyncSessionConfig
:noindex:
python-advanced-alchemy-0.34.0/docs/reference/extensions/index.rst 0000664 0000000 0000000 00000000513 14763441450 0025237 0 ustar 00root root 0000000 0000000 ==========
Extensions
==========
API Reference for the ``Extensions`` module
.. note:: Private methods and attributes are not included in the API reference.
Available API References
------------------------
.. toctree::
:titlesonly:
litestar/index
flask/index
sanic/index
starlette/index
fastapi/index
python-advanced-alchemy-0.34.0/docs/reference/extensions/litestar/ 0000775 0000000 0000000 00000000000 14763441450 0025226 5 ustar 00root root 0000000 0000000 python-advanced-alchemy-0.34.0/docs/reference/extensions/litestar/cli.rst 0000664 0000000 0000000 00000000124 14763441450 0026524 0 ustar 00root root 0000000 0000000 ===
cli
===
.. automodule:: advanced_alchemy.extensions.litestar.cli
:members:
python-advanced-alchemy-0.34.0/docs/reference/extensions/litestar/dto.rst 0000664 0000000 0000000 00000000275 14763441450 0026552 0 ustar 00root root 0000000 0000000 ===
dto
===
.. automodule:: advanced_alchemy.extensions.litestar.dto
:members:
:exclude-members: ModelDTOT ImproperConfigurationError DTOFieldDefinition ImproperConfigurationError
python-advanced-alchemy-0.34.0/docs/reference/extensions/litestar/index.rst 0000664 0000000 0000000 00000003171 14763441450 0027071 0 ustar 00root root 0000000 0000000 ========
litestar
========
API Reference for the ``Litestar`` extensions module
.. note:: Private methods and attributes are not included in the API reference.
------------------------
.. automodule:: advanced_alchemy.extensions.litestar
:imported-members:
advanced_alchemy.utils
advanced_alchemy.base
advanced_alchemy.exceptions
advanced_alchemy.filters
advanced_alchemy.mixins
advanced_alchemy.operations
advanced_alchemy.repository
advanced_alchemy.service
advanced_alchemy.types
advanced_alchemy.alembic.commands.AlembicCommands
advanced_alchemy.extensions.litestar.plugins.init.plugin.SQLAlchemyPlugin
advanced_alchemy.extensions.litestar.plugins.init.plugin.SQLAlchemySerializationPlugin
advanced_alchemy.extensions.litestar.dto.SQLAlchemyDTO
advanced_alchemy.extensions.litestar.dto.SQLAlchemyDTOConfig
:members:
AlembicAsyncConfig
AlembicSyncConfig
AsyncSessionConfig
EngineConfig
SQLAlchemyAsyncConfig
SQLAlchemyInitPlugin
SQLAlchemyPlugin
SQLAlchemySerializationPlugin
SQLAlchemySyncConfig
SyncSessionConfig
async_autocommit_before_send_handler
async_autocommit_handler_maker
async_default_before_send_handler
async_default_handler_maker
sync_autocommit_before_send_handler
sync_autocommit_handler_maker
sync_default_before_send_handler
sync_default_handler_maker
Additional API References
-------------------------
.. toctree::
:titlesonly:
dto
plugins
cli
python-advanced-alchemy-0.34.0/docs/reference/extensions/litestar/plugins.rst 0000664 0000000 0000000 00000000300 14763441450 0027432 0 ustar 00root root 0000000 0000000 ======
plugin
======
.. automodule:: advanced_alchemy.extensions.litestar.plugins
:members:
:exclude-members:
:no-index: EngineConfig, SQLAlchemyAsyncConfig, SQLAlchemySyncConfig
python-advanced-alchemy-0.34.0/docs/reference/extensions/sanic/ 0000775 0000000 0000000 00000000000 14763441450 0024474 5 ustar 00root root 0000000 0000000 python-advanced-alchemy-0.34.0/docs/reference/extensions/sanic/index.rst 0000664 0000000 0000000 00000001464 14763441450 0026342 0 ustar 00root root 0000000 0000000 =====
sanic
=====
API Reference for the ``Sanic`` extensions module
.. note:: Private methods and attributes are not included in the API reference.
------------------------
.. automodule:: advanced_alchemy.extensions.sanic
:imported-members:
advanced_alchemy.utils
advanced_alchemy.base
advanced_alchemy.exceptions
advanced_alchemy.filters
advanced_alchemy.mixins
advanced_alchemy.operations
advanced_alchemy.repository
advanced_alchemy.service
advanced_alchemy.types
advanced_alchemy.alembic.commands.AlembicCommands
:members:
AlembicAsyncConfig
AlembicSyncConfig
AsyncSessionConfig
EngineConfig
SQLAlchemyAsyncConfig
SQLAlchemySyncConfig
SyncSessionConfig
:noindex:
python-advanced-alchemy-0.34.0/docs/reference/extensions/starlette/ 0000775 0000000 0000000 00000000000 14763441450 0025406 5 ustar 00root root 0000000 0000000 python-advanced-alchemy-0.34.0/docs/reference/extensions/starlette/index.rst 0000664 0000000 0000000 00000001510 14763441450 0027244 0 ustar 00root root 0000000 0000000 =========
starlette
=========
API Reference for the ``Starlette`` extensions module
.. note:: Private methods and attributes are not included in the API reference.
------------------------
.. automodule:: advanced_alchemy.extensions.starlette
:imported-members:
advanced_alchemy.utils
advanced_alchemy.base
advanced_alchemy.exceptions
advanced_alchemy.filters
advanced_alchemy.mixins
advanced_alchemy.operations
advanced_alchemy.repository
advanced_alchemy.service
advanced_alchemy.types
advanced_alchemy.alembic.commands.AlembicCommands
:members:
AlembicAsyncConfig
AlembicSyncConfig
AsyncSessionConfig
EngineConfig
SQLAlchemyAsyncConfig
SQLAlchemySyncConfig
SyncSessionConfig
:noindex:
python-advanced-alchemy-0.34.0/docs/reference/filters.rst 0000664 0000000 0000000 00000000207 14763441450 0023401 0 ustar 00root root 0000000 0000000 =======
filters
=======
.. automodule:: advanced_alchemy.filters
:members:
:undoc-members: FilterTypes
:show-inheritance:
python-advanced-alchemy-0.34.0/docs/reference/index.rst 0000664 0000000 0000000 00000001347 14763441450 0023046 0 ustar 00root root 0000000 0000000 =============
API Reference
=============
The API reference provides detailed documentation for all public classes, functions,
and modules in Advanced Alchemy. Each section includes complete type information,
usage examples, and links to related documentation.
Core Components
---------------
.. toctree::
:maxdepth: 2
:caption: Core API
base
mixins/index
config/index
operations
types
exceptions
utils
Repository & Services
---------------------
.. toctree::
:maxdepth: 2
:caption: Repository & Services
repository
filters
service
Framework Integration
---------------------
.. toctree::
:maxdepth: 2
:caption: Framework Support
extensions/index
alembic/index
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audit
======
.. automodule:: advanced_alchemy.mixins.audit
:members:
python-advanced-alchemy-0.34.0/docs/reference/mixins/bigint.rst 0000664 0000000 0000000 00000000123 14763441450 0024511 0 ustar 00root root 0000000 0000000 ======
bigint
======
.. automodule:: advanced_alchemy.mixins.bigint
:members:
python-advanced-alchemy-0.34.0/docs/reference/mixins/index.rst 0000664 0000000 0000000 00000000430 14763441450 0024345 0 ustar 00root root 0000000 0000000 ======
mixins
======
Mixins that provide common columns and behavior for SQLAlchemy models.
.. note:: Private methods and attributes are not included in the API reference.
.. toctree::
:titlesonly:
unique
nanoid
uuid
sentinel
bigint
audit
slug
python-advanced-alchemy-0.34.0/docs/reference/mixins/nanoid.rst 0000664 0000000 0000000 00000000123 14763441450 0024505 0 ustar 00root root 0000000 0000000 ======
nanoid
======
.. automodule:: advanced_alchemy.mixins.nanoid
:members:
python-advanced-alchemy-0.34.0/docs/reference/mixins/sentinel.rst 0000664 0000000 0000000 00000000133 14763441450 0025057 0 ustar 00root root 0000000 0000000 ========
sentinel
========
.. automodule:: advanced_alchemy.mixins.sentinel
:members:
python-advanced-alchemy-0.34.0/docs/reference/mixins/slug.rst 0000664 0000000 0000000 00000000113 14763441450 0024206 0 ustar 00root root 0000000 0000000 ====
slug
====
.. automodule:: advanced_alchemy.mixins.slug
:members:
python-advanced-alchemy-0.34.0/docs/reference/mixins/unique.rst 0000664 0000000 0000000 00000000123 14763441450 0024543 0 ustar 00root root 0000000 0000000 ======
unique
======
.. automodule:: advanced_alchemy.mixins.unique
:members:
python-advanced-alchemy-0.34.0/docs/reference/mixins/uuid.rst 0000664 0000000 0000000 00000000113 14763441450 0024202 0 ustar 00root root 0000000 0000000 ====
uuid
====
.. automodule:: advanced_alchemy.mixins.uuid
:members:
python-advanced-alchemy-0.34.0/docs/reference/operations.rst 0000664 0000000 0000000 00000000236 14763441450 0024116 0 ustar 00root root 0000000 0000000 ==========
operations
==========
.. automodule:: advanced_alchemy.operations
:members:
:imported-members:
:undoc-members:
:show-inheritance:
python-advanced-alchemy-0.34.0/docs/reference/repository.rst 0000664 0000000 0000000 00000000244 14763441450 0024151 0 ustar 00root root 0000000 0000000 ============
repositories
============
.. automodule:: advanced_alchemy.repository
:members:
:imported-members:
:undoc-members:
:show-inheritance:
python-advanced-alchemy-0.34.0/docs/reference/service.rst 0000664 0000000 0000000 00000000226 14763441450 0023372 0 ustar 00root root 0000000 0000000 ========
services
========
.. automodule:: advanced_alchemy.service
:members:
:imported-members:
:undoc-members:
:show-inheritance:
python-advanced-alchemy-0.34.0/docs/reference/types.rst 0000664 0000000 0000000 00000000212 14763441450 0023071 0 ustar 00root root 0000000 0000000 =====
types
=====
.. automodule:: advanced_alchemy.types
:members:
:imported-members:
:undoc-members:
:show-inheritance:
python-advanced-alchemy-0.34.0/docs/reference/utils.rst 0000664 0000000 0000000 00000000301 14763441450 0023064 0 ustar 00root root 0000000 0000000 =====
utils
=====
.. automodule:: advanced_alchemy.utils
:members:
:imported-members:
:undoc-members:
:show-inheritance:
:noindex: FilterableRepositoryProtocol.model_type
python-advanced-alchemy-0.34.0/docs/releases.rst 0000664 0000000 0000000 00000005342 14763441450 0021603 0 ustar 00root root 0000000 0000000 :orphan:
=========================
Advanced Alchemy Releases
=========================
Version Numbering
-----------------
This library follows the `Semantic Versioning standard `_, using the ``..``
schema:
**Major**
Backwards incompatible changes have been made
**Minor**
Functionality was added in a backwards compatible manner
**Patch**
Bugfixes were applied in a backwards compatible manner
Pre-release Versions
++++++++++++++++++++
Before a new major release, we will make ``alpha``, ``beta``, and release candidate (``rc``) releases, numbered as
``..``. For example, ``2.0.0alpha1``, ``2.0.0beta1``, ``2.0.0rc1``.
- ``alpha``
Early developer preview. Features may not be complete and breaking changes can occur.
- ``beta``
More stable preview release. Feature complete, no major breaking changes expected.
- ``rc``
Release candidate. Feature freeze, only bugfixes until final release.
Suitable for testing migration to the upcoming major release.
Long-term Support Releases (LTS)
--------------------------------
Major releases are designated as LTS releases for the life of that major release series.
These releases will receive bugfixes for a guaranteed period of time as defined in
`Supported Versions <#supported-versions>`_.
Deprecation Policy
------------------
When a feature is going to be removed, a deprecation warning will be added in a **minor** release.
The feature will continue to work for all releases in that major series, and will be removed in the next major release.
For example, if a deprecation warning is added in ``1.1``, the feature will work throughout all ``1.x`` releases,
and be removed in ``2.0``.
Supported Versions
------------------
At any time, the Litestar organization will actively support:
- The current major release series
- The previous major release series
- Any other designated LTS releases (Special cases)
For example, if the current release is ``2.0``, we will actively support ``2.x`` and ``1.x``.
When ``3.0`` is released, we will drop support for ``1.x``.
Bugfixes will be applied to the current major release, and selectively backported to older
supported versions based on severity and feasibility.
Release Process
---------------
Each major release cycle consists of a few phases:
#. **Planning**: Define roadmap, spec out major features. Work should begin on implementation.
#. **Development**: Active development on planned features. Ends with an alpha release and branch of ``A.B.x``
branch from `main`.
#. **Bugfixes**: Only bugfixes, no new features. Progressively release beta, release candidates.
Feature freeze at RC. Become more selective with backports to avoid regressions.
python-advanced-alchemy-0.34.0/docs/usage/ 0000775 0000000 0000000 00000000000 14763441450 0020346 5 ustar 00root root 0000000 0000000 python-advanced-alchemy-0.34.0/docs/usage/cli.rst 0000664 0000000 0000000 00000020051 14763441450 0021645 0 ustar 00root root 0000000 0000000 =================
Command Line Tool
=================
Advanced Alchemy provides a command-line interface (CLI) for common database operations and project management tasks.
Installation
------------
The CLI is installed with Advanced Alchemy with the extra ``cli``:
.. tab-set::
.. tab-item:: pip
:sync: key1
.. code-block:: bash
:caption: Using pip
python3 -m pip install advanced-alchemy[cli]
.. tab-item:: uv
.. code-block:: bash
:caption: Using `UV `_
uv add advanced-alchemy[cli]
.. tab-item:: pipx
:sync: key2
.. code-block:: bash
:caption: Using `pipx `_
pipx install advanced-alchemy[cli]
.. tab-item:: pdm
.. code-block:: bash
:caption: Using `PDM `_
pdm add advanced-alchemy[cli]
.. tab-item:: Poetry
.. code-block:: bash
:caption: Using `Poetry `_
poetry add advanced-alchemy[cli]
Basic Usage
-----------
The CLI can be invoked using the ``alchemy`` command:
.. code-block:: bash
alchemy --help
Global Options
--------------
The following options are available for all commands:
.. list-table:: Global options
:header-rows: 1
:widths: 20 80
* - Option
- Explanation
* - ``--config`` TEXT
- **Required**. Dotted path to SQLAlchemy config(s), it's an instance of ``SQLAlchemyConfig`` (sync or async). Example: ``--config path.to.alchemy-config.config``
* - ``--bind-key`` TEXT
- Optional. Specify which SQLAlchemy config to use
* - ``--no-prompt``
- Optional. Skip confirmation prompts
* - ``--verbose``
- Optional. Enable verbose output
Config
------
Here is an example of what **config** looks like.
If the file is named ``alchemy-config.py``, you would need to use it like this ``--config path.to.alchemy-config.config``
.. code-block:: python
:caption: alchemy-config.py
from sqlalchemy import create_engine
from advanced_alchemy.config import SQLAlchemyConfig
# Create a test config using SQLite
config = SQLAlchemyConfig(
connection_url="sqlite:///test.db"
)
Available Commands
------------------
show-current-revision
~~~~~~~~~~~~~~~~~~~~~
Show the current revision of the database:
.. code-block:: bash
alchemy show-current-revision --config path.to.alchemy-config.config
downgrade
~~~~~~~~~
Downgrade database to a specific revision:
.. code-block:: bash
alchemy downgrade --config path.to.alchemy-config.config [REVISION]
.. list-table:: Options
:header-rows: 1
:widths: 20 80
* - Option
- Explanation
* - ``--sql``
- Generate SQL output for offline migrations
* - ``--tag`` TEXT
- Arbitrary tag for custom env.py scripts
* - ``REVISION``
- Target revision (default: "-1")
upgrade
~~~~~~~
Upgrade database to a specific revision:
.. code-block:: bash
alchemy upgrade --config path.to.alchemy-config.config [REVISION]
.. list-table:: Options
:header-rows: 1
:widths: 20 80
* - Option
- Explanation
* - ``--sql``
- Generate SQL output for offline migrations
* - ``--tag`` TEXT
- Arbitrary tag for custom env.py scripts
* - ``REVISION``
- Target revision (default: "head")
init
~~~~
Initialize migrations for the project:
.. code-block:: bash
alchemy init --config path.to.alchemy-config.config [DIRECTORY]
.. list-table:: Options
:header-rows: 1
:widths: 20 80
* - Option
- Explanation
* - ``--multidb``
- Support multiple databases
* - ``--package``
- Create __init__.py for created folder (default: True)
* - ``DIRECTORY``
- Directory for migration files (optional)
make-migrations
~~~~~~~~~~~~~~~
Create a new migration revision:
.. code-block:: bash
alchemy make-migrations --config path.to.alchemy-config.config
.. list-table:: Options
:header-rows: 1
:widths: 30 70
* - Option
- Explanation
* - ``-m``, ``--message`` TEXT
- Revision message
* - ``--autogenerate``/ ``--no-autogenerate``
- Automatically detect changes (default: True)
* - ``--sql``
- Export to .sql instead of writing to database
* - ``--head`` TEXT
- Base revision for new revision (default: "head")
* - ``--splice``
- Allow non-head revision as the "head"
* - ``--branch-label`` TEXT
- Branch label for new revision
* - ``--version-path`` TEXT
- Specific path for version file
* - ``--rev-id`` TEXT
- Specific revision ID
drop-all
~~~~~~~~
Drop all tables from the database:
.. code-block:: bash
alchemy drop-all --config path.to.alchemy-config.config
dump-data
~~~~~~~~~
Dump specified tables from the database to JSON files:
.. code-block:: bash
alchemy dump-data --config path.to.alchemy-config.config --table TABLE_NAME
.. list-table:: Options
:header-rows: 1
:widths: 20 80
* - Option
- Explanation
* - ``--table`` TEXT
- Name of table to dump (use '*' for all tables)
* - ``--dir`` PATH
- Directory to save JSON files (default: ./fixtures)
Extending the CLI
-----------------
If you're using Click in your project, you can extend Advanced Alchemy's CLI with your own commands. The CLI provides two main functions for integration:
- ``get_alchemy_group()``: Get the base CLI group
- ``add_migration_commands()``: Add migration-related commands to a group
Basic Extension
~~~~~~~~~~~~~~~
Here's how to extend the CLI with your own commands:
.. code-block:: python
from advanced_alchemy.cli import get_alchemy_group, add_migration_commands
import click
# Get the base group
alchemy_group = get_alchemy_group()
# Add your custom commands
@alchemy_group.command(name="my-command")
@click.option("--my-option", help="Custom option")
def my_command(my_option):
"""My custom command."""
click.echo(f"Running my command with option: {my_option}")
# Add migration commands to your group
add_migration_commands(alchemy_group)
Custom Group Integration
~~~~~~~~~~~~~~~~~~~~~~~~
You can also integrate Advanced Alchemy's commands into your existing Click group:
.. code-block:: python
import click
from advanced_alchemy.cli import add_migration_commands
@click.group()
def cli():
"""My application CLI."""
pass
# Add migration commands to your CLI group
add_migration_commands(cli)
@cli.command()
def my_command():
"""Custom command in your CLI."""
pass
if __name__ == "__main__":
cli()
Typer integration
-----------------
You can integrate Advanced Alchemy's CLI commands into your existing ``Typer`` application. Here's how:
.. code-block:: python
:caption: cli.py
import typer
from advanced_alchemy.cli import get_alchemy_group, add_migration_commands
app = typer.Typer()
@app.command()
def hello(name: str) -> None:
"""Says hello to the world."""
typer.echo(f"Hello {name}")
@app.callback()
def callback():
"""
Typer app, including Click subapp
"""
pass
def create_cli() -> typer.Typer:
"""Create the CLI application with both Typer and Click commands."""
# Get the Click group from advanced_alchemy
alchemy_group = get_alchemy_group()
# Convert our Typer app to a Click command object
typer_click_object = typer.main.get_command(app)
# Add all migration commands from the alchemy group to our CLI
typer_click_object.add_command(add_migration_commands(alchemy_group))
return typer_click_object
if __name__ == "__main__":
cli = create_cli()
cli()
After setting up the integration, you can use both your ``Typer`` commands and Advanced Alchemy commands:
.. code-block:: bash
# Use your Typer commands
python cli.py hello Cody
# Use Advanced Alchemy commands
python cli.py alchemy upgrade --config path.to.config
python cli.py alchemy make-migrations --config path.to.config
python-advanced-alchemy-0.34.0/docs/usage/database_seeding.rst 0000664 0000000 0000000 00000041575 14763441450 0024356 0 ustar 00root root 0000000 0000000 ====================================
Database Seeding and Fixture Loading
====================================
Advanced Alchemy provides utilities for seeding your database with initial data through JSON fixtures. This documentation will show you how to create and load fixtures in both synchronous and asynchronous applications.
Creating Fixtures
-----------------
Fixtures in Advanced Alchemy are simple JSON files that contain the data you want to seed. Each fixture file should:
1. Contain a JSON object or a JSON array of objects, where each object represents a row in your database table
2. Include all required fields for your model
**Example Fixture:**
.. code-block:: json
:caption: fixtures/products.json
[
{
"name": "Laptop",
"description": "High-performance laptop with 16GB RAM and 1TB SSD",
"price": 999.99,
"in_stock": true
},
{
"name": "Smartphone",
"description": "Latest smartphone model with 5G and advanced camera",
"price": 699.99,
"in_stock": true
},
{
"name": "Headphones",
"description": "Noise-cancelling wireless headphones with 30-hour battery life",
"price": 199.99,
"in_stock": true
},
{
"name": "Smartwatch",
"description": "Fitness tracker with heart rate monitor and GPS",
"price": 149.99,
"in_stock": false
},
{
"name": "Tablet",
"description": "10-inch tablet with high-resolution display",
"price": 349.99,
"in_stock": true
}
]
Loading Fixtures
----------------
Advanced Alchemy provides both synchronous and asynchronous functions for loading fixtures:
Synchronous Loading
~~~~~~~~~~~~~~~~~~~
.. code-block:: python
from pathlib import Path
from sqlalchemy import String, create_engine
from sqlalchemy.orm import Mapped, mapped_column
from advanced_alchemy.base import UUIDBase
from advanced_alchemy.config import SQLAlchemySyncConfig, SyncSessionConfig
from advanced_alchemy.repository import SQLAlchemySyncRepository
from advanced_alchemy.utils.fixtures import open_fixture
# Database connection string
DATABASE_URL = "sqlite:///db.sqlite3"
config = SQLAlchemySyncConfig(
engine_instance=create_engine(DATABASE_URL),
session_config=SyncSessionConfig(expire_on_commit=False)
)
class Product(UUIDBase):
"""Product model."""
__tablename__ = "products"
name: Mapped[str] = mapped_column(String(length=100))
description: Mapped[str | None] = mapped_column(String(length=500))
price: Mapped[float]
in_stock: Mapped[bool] = mapped_column(default=True)
# Repository
class ProductRepository(SQLAlchemySyncRepository[Product]):
"""Product repository."""
model_type = Product
# Set up fixtures path
fixtures_path = Path(__file__).parent / "fixtures"
def initialize_database():
"""Initialize the database and create tables."""
print("Creating database tables...")
with config.get_engine().begin() as conn:
UUIDBase.metadata.create_all(conn)
print("Tables created successfully")
def seed_database():
"""Seed the database with fixture data."""
print("Seeding database...")
# Create a session
with config.get_session() as session:
# Create repository for product model
product_repo = ProductRepository(session=session)
# Load and add product data
try:
print(f"Attempting to load fixtures from {fixtures_path}/product.json")
product_data = open_fixture(fixtures_path, "product")
print(f"Loaded {len(product_data)} products from fixture")
product_repo.add_many([Product(**item) for item in product_data])
session.commit()
except FileNotFoundError:
print(f"Could not find fixture file at {fixtures_path}/product.json")
if __name__ == "__main__":
# Initialize the database
initialize_database()
# Seed the database
seed_database()
Asynchronous Loading
~~~~~~~~~~~~~~~~~~~~
.. code-block:: python
import asyncio
from pathlib import Path
from typing import Optional
from sqlalchemy import String
from sqlalchemy.ext.asyncio import create_async_engine
from sqlalchemy.orm import Mapped, mapped_column
from advanced_alchemy.base import UUIDBase
from advanced_alchemy.config import AsyncSessionConfig, SQLAlchemyAsyncConfig
from advanced_alchemy.repository import SQLAlchemyAsyncRepository
from advanced_alchemy.utils.fixtures import open_fixture_async
# Database connection string
DATABASE_URL = "sqlite+aiosqlite:///db.sqlite3"
config = SQLAlchemyAsyncConfig(
engine_instance=create_async_engine(DATABASE_URL),
session_config=AsyncSessionConfig(expire_on_commit=False)
)
class Product(UUIDBase):
"""Product model."""
__tablename__ = "products"
name: Mapped[str] = mapped_column(String(length=100))
description: Mapped[Optional[str]] = mapped_column(String(length=500))
price: Mapped[float]
in_stock: Mapped[bool] = mapped_column(default=True)
# Repository
class ProductRepository(SQLAlchemyAsyncRepository[Product]):
"""Product repository."""
model_type = Product
# Set up fixtures path
fixtures_path = Path(__file__).parent / "fixtures"
async def initialize_database():
"""Initialize the database and create tables."""
print("Creating database tables...")
async with config.get_engine().begin() as conn:
await conn.run_sync(UUIDBase.metadata.create_all)
print("Tables created successfully")
async def seed_database():
"""Seed the database with fixture data."""
print("Seeding database...")
# Create a session
async with config.get_session() as session:
# Create repository for product model
product_repo = ProductRepository(session=session)
# Load and add product data
try:
print(f"Attempting to load fixtures from {fixtures_path}/product.json")
product_data = await open_fixture_async(fixtures_path, "product")
print(f"Loaded {len(product_data)} products from fixture")
await product_repo.add_many([Product(**item) for item in product_data])
await session.commit()
except FileNotFoundError:
print(f"Could not find fixture file at {fixtures_path}/product.json")
async def main():
"""Main async function to run the example."""
# Initialize the database
await initialize_database()
# Seed the database
await seed_database()
if __name__ == "__main__":
# Run the async main function
asyncio.run(main())
Integration with Web Frameworks
-------------------------------
Litestar
~~~~~~~~
.. code-block:: python
from pathlib import Path
from typing import Optional
import uvicorn
from litestar import Litestar
from sqlalchemy import String
from sqlalchemy.orm import Mapped, mapped_column
from advanced_alchemy.base import UUIDBase
from advanced_alchemy.extensions.litestar import (
AsyncSessionConfig,
SQLAlchemyAsyncConfig,
SQLAlchemyPlugin,
)
from advanced_alchemy.repository import SQLAlchemyAsyncRepository
from advanced_alchemy.utils.fixtures import open_fixture_async
# Database connection string
DATABASE_URL = "sqlite+aiosqlite:///db.sqlite3"
# Set up fixtures path
fixtures_path = Path(__file__).parent / "fixtures"
session_config = AsyncSessionConfig(expire_on_commit=False)
sqlalchemy_config = SQLAlchemyAsyncConfig(
connection_string=DATABASE_URL,
before_send_handler="autocommit",
session_config=session_config,
create_all=True,
)
alchemy = SQLAlchemyPlugin(config=sqlalchemy_config)
class Product(UUIDBase):
"""Product model."""
__tablename__ = "products"
name: Mapped[str] = mapped_column(String(length=100))
description: Mapped[Optional[str]] = mapped_column(String(length=500))
price: Mapped[float]
in_stock: Mapped[bool] = mapped_column(default=True)
# Repository
class ProductRepository(SQLAlchemyAsyncRepository[Product]):
"""Product repository."""
model_type = Product
# Startup function to seed the database
async def on_startup() -> None:
"""Seed the database during application startup."""
print("Running startup routine...")
# Create a session and seed data
async with sqlalchemy_config.get_session() as session:
# Create repository for product model
product_repo = ProductRepository(session=session)
# Load and add product data
try:
print(f"Attempting to load fixtures from {fixtures_path}/product.json")
product_data = await open_fixture_async(fixtures_path, "product")
print(f"Loaded {len(product_data)} products from fixture")
await product_repo.add_many([Product(**item) for item in product_data])
await session.commit()
except FileNotFoundError:
print(f"Could not find fixture file at {fixtures_path}/product.json")
# Verify data was added
products = await product_repo.list()
print(f"Database seeded with {len(products)} products")
# Create the Litestar application
app = Litestar(
on_startup=[on_startup],
plugins=[alchemy],
)
if __name__ == "__main__":
uvicorn.run(app, host="0.0.0.0", port=8000)
FastAPI
~~~~~~~
.. code-block:: python
from contextlib import asynccontextmanager
from pathlib import Path
from typing import Optional
import uvicorn
from fastapi import FastAPI
from sqlalchemy import String
from sqlalchemy.orm import Mapped, mapped_column
from advanced_alchemy.base import UUIDBase
from advanced_alchemy.extensions.fastapi import (
AdvancedAlchemy,
AsyncSessionConfig,
SQLAlchemyAsyncConfig,
)
from advanced_alchemy.repository import SQLAlchemyAsyncRepository
from advanced_alchemy.utils.fixtures import open_fixture_async
# Database connection string
DATABASE_URL = "sqlite+aiosqlite:///db.sqlite3"
# Set up fixtures path
fixtures_path = Path(__file__).parent / "fixtures"
class Product(UUIDBase):
"""Product model."""
__tablename__ = "products"
name: Mapped[str] = mapped_column(String(length=100))
description: Mapped[Optional[str]] = mapped_column(String(length=500))
price: Mapped[float]
in_stock: Mapped[bool] = mapped_column(default=True)
# Repository
class ProductRepository(SQLAlchemyAsyncRepository[Product]):
"""Product repository."""
model_type = Product
# Lifespan context manager
@asynccontextmanager
async def lifespan(app: FastAPI):
"""Handle startup and shutdown events."""
# Startup: Initialize database and seed data
print("Running startup routine...")
# Create a session and seed data
async with sqlalchemy_config.get_session() as session:
# Create repository for product model
product_repo = ProductRepository(session=session)
# Load and add product data
try:
print(f"Attempting to load fixtures from {fixtures_path}/product.json")
product_data = await open_fixture_async(fixtures_path, "product")
print(f"Loaded {len(product_data)} products from fixture")
await product_repo.add_many([Product(**item) for item in product_data])
await session.commit()
except FileNotFoundError:
print(f"Could not find fixture file at {fixtures_path}/product.json")
# Verify data was added
products = await product_repo.list()
print(f"Database seeded with {len(products)} products")
# Yield control back to FastAPI
yield
# Shutdown: Clean up resources if needed
# This section runs when the application is shutting down
print("Shutting down...")
session_config = AsyncSessionConfig(expire_on_commit=False)
sqlalchemy_config = SQLAlchemyAsyncConfig(
connection_string=DATABASE_URL,
commit_mode="autocommit",
session_config=session_config,
create_all=True,
)
# Create the FastAPI application with lifespan
app = FastAPI(lifespan=lifespan)
alchemy = AdvancedAlchemy(config=sqlalchemy_config, app=app)
if __name__ == "__main__":
uvicorn.run(app, host="0.0.0.0", port=8000)
Flask
~~~~~
.. code-block:: python
from pathlib import Path
from typing import Optional
from flask import Flask
from sqlalchemy import String
from sqlalchemy.orm import Mapped, mapped_column
from advanced_alchemy.base import UUIDBase
from advanced_alchemy.extensions.flask import (
AdvancedAlchemy,
SQLAlchemySyncConfig,
SyncSessionConfig,
)
from advanced_alchemy.repository import SQLAlchemySyncRepository
from advanced_alchemy.utils.fixtures import open_fixture
# Database connection string
DATABASE_URL = "sqlite:///db.sqlite3"
# Set up fixtures path
fixtures_path = Path(__file__).parent / "fixtures"
class Product(UUIDBase):
"""Product model."""
__tablename__ = "products"
name: Mapped[str] = mapped_column(String(length=100))
description: Mapped[Optional[str]] = mapped_column(String(length=500))
price: Mapped[float]
in_stock: Mapped[bool] = mapped_column(default=True)
# Repository
class ProductRepository(SQLAlchemySyncRepository[Product]):
"""Product repository."""
model_type = Product
app = Flask(__name__)
sqlalchemy_config = SQLAlchemySyncConfig(
connection_string=DATABASE_URL,
commit_mode="autocommit",
session_config=SyncSessionConfig(
expire_on_commit=False,
),
create_all=True
)
db = AdvancedAlchemy(config=sqlalchemy_config)
db.init_app(app)
with app.app_context(): # noqa: SIM117
# Seed data
with db.get_session() as session:
product_repo = ProductRepository(session=session)
# Load and add product data
try:
print(f"Attempting to load fixtures from {fixtures_path}/product.json")
product_data = open_fixture(fixtures_path, "product")
print(f"Loaded {len(product_data)} products from fixture")
product_repo.add_many([Product(**item) for item in product_data])
session.commit()
except FileNotFoundError:
print(f"Could not find fixture file at {fixtures_path}/product.json")
# Verify data was added
products = product_repo.list()
print(f"Database seeded with {len(products)} products")
if __name__ == "__main__":
app.run(host="0.0.0.0", port=5000)
Best Practices
--------------
1. **Directory Structure**: Keep your fixtures in a dedicated directory (e.g., ``fixtures/``).
2. **Naming Convention**: Name your fixture files after the corresponding table names.
3. **Idempotent Seeding**: Always check if data exists before seeding to avoid duplicates or update records.
4. **Dependencies**: Seed tables in the correct order to respect foreign key constraints.
5. **Data Validation**: Ensure your fixture data meets your model's constraints.
6. **Environment Separation**: Consider having different fixtures for development, testing, and production.
7. **Version Control**: Keep your fixtures under version control with your application code.
Tips for Efficient Seeding
--------------------------
- Use :func:`add_many (async) ` / :func:`add_many (sync) ` instead of adding objects one by one for better performance.
- Use :func:`upsert_many (async) ` / :func:`upsert_many (sync) ` to update your data if you are updating prices for example.
- You can use the database seeding from your cli, app startup or any route.
- For large datasets, consider chunking the data into smaller batches.
- When dealing with relationships, seed parent records before child records.
- Consider using factory libraries like `Polyfactory `__ for generating test data.
python-advanced-alchemy-0.34.0/docs/usage/frameworks/ 0000775 0000000 0000000 00000000000 14763441450 0022526 5 ustar 00root root 0000000 0000000 python-advanced-alchemy-0.34.0/docs/usage/frameworks/fastapi.rst 0000664 0000000 0000000 00000012456 14763441450 0024717 0 ustar 00root root 0000000 0000000 ===================
FastAPI Integration
===================
Advanced Alchemy's repository and service patterns work well within FastAPI applications.
Basic Setup
-----------
Configure SQLAlchemy with FastAPI:
.. code-block:: python
from typing import AsyncGenerator
from fastapi import FastAPI
from advanced_alchemy.extensions.fastapi import AdvancedAlchemy, AsyncSessionConfig, SQLAlchemyAsyncConfig
sqlalchemy_config = SQLAlchemyAsyncConfig(
connection_string="sqlite+aiosqlite:///test.sqlite",
session_config=AsyncSessionConfig(expire_on_commit=False),
create_all=True,
commit_mode="autocommit",
)
app = FastAPI()
alchemy = AdvancedAlchemy(config=sqlalchemy_config, app=app)
Models and Schemas
------------------
Define your SQLAlchemy models and Pydantic schemas:
.. code-block:: python
import datetime
from uuid import UUID
from sqlalchemy import ForeignKey
from sqlalchemy.orm import Mapped, mapped_column, relationship
from pydantic import BaseModel as _BaseModel
from advanced_alchemy.base import UUIDAuditBase, UUIDBase
class BaseModel(_BaseModel):
"""Extend Pydantic's BaseModel to enable ORM mode"""
model_config = {"from_attributes": True}
class AuthorModel(UUIDBase):
__tablename__ = "author"
name: Mapped[str]
dob: Mapped[date | None]
books: Mapped[list[BookModel]] = relationship(back_populates="author", lazy="noload")
class BookModel(UUIDAuditBase):
__tablename__ = "book"
title: Mapped[str]
author_id: Mapped[UUID] = mapped_column(ForeignKey("author.id"))
author: Mapped[AuthorModel] = relationship(lazy="joined", innerjoin=True, viewonly=True)
class Author(BaseModel):
id: UUID | None
name: str
dob: datetime.date | None = None
class AuthorCreate(BaseModel):
name: str
dob: datetime.date | None = None
class AuthorUpdate(BaseModel):
name: str | None = None
dob: datetime.date | None = None
Repository and Service
----------------------
Create repository and service classes:
.. code-block:: python
from typing import Annotated, AsyncGenerator, Optional
from advanced_alchemy.extensions.fastapi import repository, service
from fastapi import Depends
from sqlalchemy.ext.asyncio import AsyncSession
class AuthorService(service.SQLAlchemyAsyncRepositoryService[AuthorModel]):
"""Author service."""
class Repo(repository.SQLAlchemyAsyncRepository[AuthorModel]):
"""Author repository."""
model_type = AuthorModel
repository_type = Repo
Dependency Injection
--------------------
Set up dependency injected into the request context.
.. code-block:: python
from fastapi import Request
DatabaseSession = Annotated[AsyncSession, Depends(alchemy.provide_session())]
Authors = Annotated[AuthorService, Depends(provide_authors_service)]
async def provide_authors_service(db_session: DatabaseSession) -> AsyncGenerator[AuthorService, None]:
"""This provides the default Authors repository."""
async with AuthorService.new(session=db_session) as service:
yield service
Controllers
-----------
Create controllers using the service:
.. code-block:: python
from fastapi import APIRouter, Depends
from uuid import UUID
from advanced_alchemy.extensions.fastapi import filters
author_router = APIRouter()
@author_router.get(path="/authors", response_model=filters.OffsetPagination[Author])
async def list_authors(
authors_service: Authors,
limit_offset: Annotated[filters.LimitOffset, Depends(provide_limit_offset_pagination)],
) -> filters.OffsetPagination[AuthorModel]:
"""List authors."""
results, total = await authors_service.list_and_count(limit_offset)
return authors_service.to_schema(results, total, filters=[limit_offset])
@author_router.post(path="/authors", response_model=Author)
async def create_author(
authors_service: Authors,
data: AuthorCreate,
) -> AuthorModel:
"""Create a new author."""
obj = await authors_service.create(data)
return authors_service.to_schema(obj)
@author_router.get(path="/authors/{author_id}", response_model=Author)
async def get_author(
authors_service: Authors,
author_id: UUID,
) -> AuthorModel:
"""Get an existing author."""
obj = await authors_service.get(author_id)
return authors_service.to_schema(obj)
@author_router.patch(path="/authors/{author_id}", response_model=Author)
async def update_author(
authors_service: Authors,
data: AuthorUpdate,
author_id: UUID,
) -> AuthorModel:
"""Update an author."""
obj = await authors_service.update(data, item_id=author_id)
return authors_service.to_schema(obj)
@author_router.delete(path="/authors/{author_id}")
async def delete_author(
authors_service: Authors,
author_id: UUID,
) -> None:
"""Delete an author from the system."""
_ = await authors_service.delete(author_id)
Application Configuration
-------------------------
Finally, configure your FastAPI application with the router:
.. code-block:: python
app.include_router(author_router)
python-advanced-alchemy-0.34.0/docs/usage/frameworks/flask.rst 0000664 0000000 0000000 00000017664 14763441450 0024376 0 ustar 00root root 0000000 0000000 Flask Integration
=================
Advanced Alchemy provides seamless integration with Flask applications through its Flask extension.
Installation
------------
The Flask extension is included with Advanced Alchemy by default. No additional installation is required.
Basic Usage
-----------
Here's a basic example of using Advanced Alchemy with Flask:
.. code-block:: python
from flask import Flask
from sqlalchemy import select
from advanced_alchemy.extensions.flask import (
AdvancedAlchemy,
SQLAlchemySyncConfig,
EngineConfig,
)
app = Flask(__name__)
db_config = SQLAlchemySyncConfig(connection_string="sqlite:///local.db", commit_mode="autocommit", create_all=True)
alchemy = AdvancedAlchemy(db_config, app)
# Use standard SQLAlchemy session in your routes
@app.route("/users")
def list_users():
session = alchemy.get_sync_session()
users = session.execute(select(User))
return {"users": [user.dict() for user in users.scalars()]}
Multiple Databases
------------------
Advanced Alchemy supports multiple database configurations:
.. note::
The ``bind_key`` option is used to specify the database to use for a given session.
When using multiple databases and you do not have at least one database with a ``bind_key`` of ``default``, and exception will be raised when calling ``db.get_session()`` without a bind key.
This only applies when using multiple configuration. If you are using a single configuration, the engine will be returned even if the ``bind_key`` is not ``default``.
.. code-block:: python
configs = [
SQLAlchemySyncConfig(connection_string="sqlite:///users.db", bind_key="users"),
SQLAlchemySyncConfig(connection_string="sqlite:///products.db", bind_key="products"),
]
alchemy = AdvancedAlchemy(configs, app)
# Get session for specific database
users_session = alchemy.get_sync_session("users")
products_session = alchemy.get_sync_session("products")
Async Support
-------------
Advanced Alchemy supports async SQLAlchemy with Flask:
.. code-block:: python
from advanced_alchemy.extensions.flask import (
AdvancedAlchemy,
SQLAlchemyAsyncConfig,
)
from sqlalchemy import select
app = Flask(__name__)
db_config = SQLAlchemyAsyncConfig(connection_string="postgresql+asyncpg://user:pass@localhost/db", create_all=True)
alchemy = AdvancedAlchemy(db_config, app)
# Use async session in your routes
@app.route("/users")
async def list_users():
session = alchemy.get_async_session()
users = await session.execute(select(User))
return {"users": [user.dict() for user in users.scalars()]}
You can also safely use an AsyncSession in your routes within a sync context.
.. warning::
This is experimental and may change in the future.
.. code-block:: python
@app.route("/users")
def list_users():
session = alchemy.get_async_session()
users = alchemy.portal.call(session.execute, select(User))
return {"users": [user.dict() for user in users.scalars()]}
Configuration
-------------
SQLAlchemy Configuration
~~~~~~~~~~~~~~~~~~~~~~~~
Both sync and async configurations support these options:
.. list-table::
:header-rows: 1
* - Option
- Type
- Description
- Default
* - ``engine_config``
- ``EngineConfig``
- SQLAlchemy engine configuration
- Required
* - ``bind_key``
- ``str``
- Key for multiple database support
- "default"
* - ``create_all``
- ``bool``
- Create tables on startup
- ``False``
* - ``commit_mode``
- ``"autocommit", "autocommit_include_redirect", "manual"``
- Session commit behavior
- ``"manual"``
Commit Modes
~~~~~~~~~~~~
The ``commit_mode`` option controls how database sessions are committed:
- ``"manual"`` (default): No automatic commits
- ``"autocommit"``: Commit on successful responses (2xx status codes)
- ``"autocommit_include_redirect"``: Commit on successful responses and redirects (2xx and 3xx status codes)
Services
--------
The ``FlaskServiceMixin`` adds Flask-specific functionality to services:
Here's an example of a service that uses the ``FlaskServiceMixin`` with all CRUD operations, route pagination, and msgspec serialization for JSON
.. code-block:: python
import datetime
from typing import Optional
from uuid import UUID
from msgspec import Struct
from flask import Flask
from sqlalchemy.orm import Mapped, mapped_column
from advanced_alchemy.extensions.flask import (
AdvancedAlchemy,
FlaskServiceMixin,
service,
repository,
SQLAlchemySyncConfig,
base,
)
class Author(base.UUIDBase):
"""Author model."""
name: Mapped[str]
dob: Mapped[Optional[datetime.date]]
class AuthorSchema(Struct):
"""Author schema."""
name: str
id: Optional[UUID] = None
dob: Optional[datetime.date] = None
class AuthorService(FlaskServiceMixin, service.SQLAlchemySyncRepositoryService[Author]):
class Repo(repository.SQLAlchemySyncRepository[Author]):
model_type = Author
repository_type = Repo
app = Flask(__name__)
config = SQLAlchemySyncConfig(connection_string="sqlite:///local.db", commit_mode="autocommit", create_all=True)
alchemy = AdvancedAlchemy(config, app)
@app.route("/authors", methods=["GET"])
def list_authors():
"""List authors with pagination."""
page, page_size = request.args.get("currentPage", 1, type=int), request.args.get("pageSize", 10, type=int)
limit_offset = filters.LimitOffset(limit=page_size, offset=page_size * (page - 1))
service = AuthorService(session=alchemy.get_sync_session())
results, total = service.list_and_count(limit_offset)
response = service.to_schema(results, total, filters=[limit_offset], schema_type=AuthorSchema)
return service.jsonify(response)
@app.route("/authors", methods=["POST"])
def create_author():
"""Create a new author."""
service = AuthorService(session=alchemy.get_sync_session())
obj = service.create(**request.get_json())
return service.jsonify(obj)
@app.route("/authors/", methods=["GET"])
def get_author(author_id: UUID):
"""Get an existing author."""
service = AuthorService(session=alchemy.get_sync_session(), load=[Author.books])
obj = service.get(author_id)
return service.jsonify(obj)
@app.route("/authors/", methods=["PATCH"])
def update_author(author_id: UUID):
"""Update an author."""
service = AuthorService(session=alchemy.get_sync_session(), load=[Author.books])
obj = service.update(**request.get_json(), item_id=author_id)
return service.jsonify(obj)
@app.route("/authors/", methods=["DELETE"])
def delete_author(author_id: UUID):
"""Delete an author."""
service = AuthorService(session=alchemy.get_sync_session())
service.delete(author_id)
return "", 204
The ``jsonify`` method is analogous to Flask's ``jsonify`` function. However, this implementation will serialize with the configured Advanced Alchemy serialize (i.e. Msgspec or Orjson based on installation).
Database Migrations
-------------------
When the extension is configured for Flask, database commands are automatically added to the Flask CLI. These are the same commands available to you when running the ``alchemy`` standalone CLI.
Here's an example of the commands available to Flask
.. code-block:: bash
# Initialize migrations
flask database init
# Create a new migration
flask database revision --autogenerate -m "Add users table"
# Apply migrations
flask database upgrade
# Revert migrations
flask database downgrade
# Show migration history
flask database history
# Show all commands
flask database --help
python-advanced-alchemy-0.34.0/docs/usage/frameworks/litestar.rst 0000664 0000000 0000000 00000035267 14763441450 0025124 0 ustar 00root root 0000000 0000000 ====================
Litestar Integration
====================
.. seealso::
:external+litestar:doc:`Litestar's documentation for SQLAlchemy integration `
Advanced Alchemy provides first-class integration with Litestar through its SQLAlchemy plugin, which re-exports many of the modules within Advanced Alchemy.
This guide demonstrates building a complete CRUD API for a book management system.
Key Features
------------
- SQLAlchemy plugin for session and transaction management
- Repository pattern for database operations
- Service layer for business logic and data transformation
- Built-in pagination and filtering
- CLI tools for database migrations
Basic Setup
-----------
First, configure the SQLAlchemy plugin with Litestar. The plugin handles database connection, session management, and dependency injection:
.. code-block:: python
from litestar import Litestar
from litestar.plugins.sqlalchemy import (
AsyncSessionConfig,
SQLAlchemyAsyncConfig,
SQLAlchemyPlugin,
)
session_config = AsyncSessionConfig(expire_on_commit=False)
sqlalchemy_config = SQLAlchemyAsyncConfig(
connection_string="sqlite+aiosqlite:///test.sqlite",
before_send_handler="autocommit",
session_config=session_config,
create_all=True,
)
alchemy = SQLAlchemyPlugin(config=sqlalchemy_config)
SQLAlchemy Models
-----------------
Define your SQLAlchemy models using Advanced Alchemy's enhanced base classes:
.. code-block:: python
import datetime
from uuid import UUID
from sqlalchemy import ForeignKey
from sqlalchemy.orm import Mapped, mapped_column, relationship
from litestar.plugins.sqlalchemy.base import UUIDAuditBase, UUIDBase
class AuthorModel(UUIDBase):
__tablename__ = "author"
name: Mapped[str]
dob: Mapped[datetime.date | None]
books: Mapped[list[BookModel]] = relationship(back_populates="author", lazy="selectin")
class BookModel(UUIDAuditBase):
__tablename__ = "book"
title: Mapped[str]
author_id: Mapped[UUID] = mapped_column(ForeignKey("author.id"))
author: Mapped[AuthorModel] = relationship(lazy="joined", innerjoin=True, viewonly=True)
Pydantic Schemas
----------------
Define Pydantic schemas for input validation and response serialization:
.. code-block:: python
import datetime
from pydantic import BaseModel, ConfigDict
from uuid import UUID
from typing import Optional
class BaseSchema(BaseModel):
"""Base Schema with ORM mode enabled."""
model_config = ConfigDict(from_attributes=True)
class Author(BaseSchema):
"""Author response schema."""
id: UUID
name: str
dob: Optional[datetime.date] = None
class AuthorCreate(BaseSchema):
"""Schema for creating authors."""
name: str
dob: Optional[datetime.date] = None
class AuthorUpdate(BaseSchema):
"""Schema for updating authors."""
name: Optional[str] = None
dob: Optional[datetime.date] = None
class Book(BaseSchema):
"""Book response schema with author details."""
id: UUID
title: str
author_id: UUID
author: Author
class BookCreate(BaseSchema):
"""Schema for creating books."""
title: str
author_id: UUID
Repository and Service Layer
----------------------------
Create repository, service classes, and dependency injection provider function:
.. code-block:: python
from typing import AsyncGenerator
from litestar.plugins.sqlalchemy.repository import SQLAlchemyAsyncRepository
from litestar.plugins.sqlalchemy.service import SQLAlchemyAsyncRepositoryService
from sqlalchemy.ext.asyncio import AsyncSession
class AuthorRepository(SQLAlchemyAsyncRepository[AuthorModel]):
"""Author repository."""
model_type = AuthorModel
class AuthorService(SQLAlchemyAsyncRepositoryService[AuthorModel]):
"""Author service."""
repository_type = AuthorRepository
async def provide_authors_service(db_session: AsyncSession) -> AsyncGenerator[AuthorService, None]:
"""This provides the default Authors repository."""
async with AuthorService.new(session=db_session) as service:
yield service
Controllers
-----------
Create a controller class to handle HTTP endpoints. The controller uses dependency injection for services and includes built-in pagination:
.. code-block:: python
from litestar import Controller, get, post, patch, delete
from litestar.di import Provide
from litestar.params import Parameter
from litestar.pagination import OffsetPagination
from litestar.repository.filters import LimitOffset
class AuthorController(Controller):
"""Author CRUD endpoints."""
path = "/authors"
dependencies = {"authors_service": Provide(provide_authors_service)}
tags = ["Authors"]
@get()
async def list_authors(
self,
authors_service: AuthorService,
limit_offset: LimitOffset,
) -> OffsetPagination[Author]:
"""List all authors with pagination."""
results, total = await authors_service.list_and_count(limit_offset)
return authors_service.to_schema(
data=results,
total=total,
filters=[limit_offset],
schema_type=Author,
)
@post()
async def create_author(
self,
authors_service: AuthorService,
data: AuthorCreate,
) -> Author:
"""Create a new author."""
obj = await authors_service.create(data)
return authors_service.to_schema(data=obj, schema_type=Author)
@get(path="/{author_id:uuid}")
async def get_author(
self,
authors_service: AuthorService,
author_id: UUID = Parameter(
title="Author ID",
description="The author to retrieve.",
),
) -> Author:
"""Get an existing author."""
obj = await authors_service.get(author_id)
return authors_service.to_schema(data=obj, schema_type=Author)
@patch(path="/{author_id:uuid}")
async def update_author(
self,
authors_service: AuthorService,
data: AuthorUpdate,
author_id: UUID = Parameter(
title="Author ID",
description="The author to update.",
),
) -> Author:
"""Update an author."""
obj = await authors_service.update(data=data, item_id=author_id)
return authors_service.to_schema(obj, schema_type=Author)
@delete(path="/{author_id:uuid}")
async def delete_author(
self,
authors_service: AuthorService,
author_id: UUID = Parameter(
title="Author ID",
description="The author to delete.",
),
) -> None:
"""Delete an author from the system."""
_ = await authors_service.delete(author_id)
Application Configuration
-------------------------
Finally, configure your Litestar application with the plugin and dependencies:
.. code-block:: python
from litestar import Litestar
from litestar.di import Provide
from litestar.plugins.sqlalchemy.filters import FilterTypes, LimitOffset
from litestar.plugins.sqlalchemy import (
AsyncSessionConfig,
SQLAlchemyAsyncConfig,
SQLAlchemyPlugin,
)
session_config = AsyncSessionConfig(expire_on_commit=False)
sqlalchemy_config = SQLAlchemyAsyncConfig(
connection_string="sqlite+aiosqlite:///test.sqlite",
before_send_handler="autocommit",
session_config=session_config,
create_all=True,
)
alchemy = SQLAlchemyPlugin(config=sqlalchemy_config)
def provide_limit_offset_pagination(
current_page: int = Parameter(ge=1, query="currentPage", default=1, required=False),
page_size: int = Parameter(
query="pageSize",
ge=1,
default=10,
required=False,
),
) -> FilterTypes:
"""Add offset/limit pagination."""
return LimitOffset(page_size, page_size * (current_page - 1))
app = Litestar(
route_handlers=[AuthorController],
plugins=[alchemy],
dependencies={"limit_offset": Provide(provide_limit_offset_pagination, sync_to_thread=False)},
)
Database Sessions
-----------------
Sessions in Controllers
^^^^^^^^^^^^^^^^^^^^^^^
You can access the database session from the controller by using the `db_session` parameter, which is automatically injected by the SQLAlchemy plugin. The session is automatically committed at the end of the request. If an exception occurs, the session is rolled back:
.. code-block:: python
from litestar import Litestar, get
from litestar.plugins.sqlalchemy import (
AsyncSessionConfig,
SQLAlchemyAsyncConfig,
SQLAlchemyPlugin,
)
session_config = AsyncSessionConfig(expire_on_commit=False)
sqlalchemy_config = SQLAlchemyAsyncConfig(
connection_string="sqlite+aiosqlite:///test.sqlite",
before_send_handler="autocommit",
session_config=session_config,
create_all=True,
) # Create 'db_session' dependency.
alchemy = SQLAlchemyPlugin(config=sqlalchemy_config)
@get("/my-endpoint")
async def my_controller(db_session: AsyncSession) -> str:
# Access the database session here.
return "Hello, World!"
app = Litestar(
route_handlers=[my_controller],
plugins=[alchemy],
)
Sessions in Middleware
^^^^^^^^^^^^^^^^^^^^^^
Dependency injection is not available in middleware. Instead, you can create a new session using the `provide_session` method:
.. code-block:: python
from litestar import Litestar
from litestar.types import ASGIApp, Scope, Receive, Send
from litestar.plugins.sqlalchemy import (
AsyncSessionConfig,
SQLAlchemyAsyncConfig,
SQLAlchemyPlugin,
)
session_config = AsyncSessionConfig(expire_on_commit=False)
sqlalchemy_config = SQLAlchemyAsyncConfig(
connection_string="sqlite+aiosqlite:///test.sqlite",
before_send_handler="autocommit",
session_config=session_config,
create_all=True,
)
alchemy = SQLAlchemyPlugin(config=sqlalchemy_config)
def middleware_factory(app: ASGIApp) -> ASGIApp:
async def my_middleware(scope: Scope, receive: Receive, send: Send) -> None:
# NOTE: You can also access the app state from `ASGIConnection`.
db_session = await alchemy.provide_session(scope["app"].state, scope)
# Access the database session here.
await db_session.close()
...
await app(scope, receive, send)
return my_middleware
app = Litestar(
route_handlers=[...],
middleware=[middleware_factory],
plugins=[alchemy]
)
Database Migrations
-------------------
Advanced Alchemy integrates with Litestar's CLI to provide database migration tools powered by Alembic. All alembic commands are integrated directly into the Litestar CLI.
Command List
^^^^^^^^^^^^
To get a listing of available commands, run the following:
.. code-block:: bash
litestar database
.. code-block:: bash
Usage: app database [OPTIONS] COMMAND [ARGS]...
Manage SQLAlchemy database components.
โญโ Options โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฎ
โ --help -h Show this message and exit. โ
โฐโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฏ
โญโ Commands โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฎ
โ downgrade Downgrade database to a specific revision. โ
โ drop-all Drop all tables from the database. โ
โ dump-data Dump specified tables from the database to JSON โ
โ files. โ
โ init Initialize migrations for the project. โ
โ make-migrations Create a new migration revision. โ
โ merge-migrations Merge multiple revisions into a single new revision. โ
โ show-current-revision Shows the current revision for the database. โ
โ stamp-migration Mark (Stamp) a specific revision as current without โ
โ applying the migrations. โ
โ upgrade Upgrade database to a specific revision. โ
โฐโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโฏ
Initializing a new project
^^^^^^^^^^^^^^^^^^^^^^^^^^
If you would like to initial set of alembic migrations, you can easily scaffold out new templates to setup a project.
Assuming that you are using the default configuration for the SQLAlchemy configuration, you can run the following to initialize the migrations directory.
.. code-block:: shell-session
$ litestar database init ./migrations
If you use a different path than `./migrations`, be sure to also set this in your SQLAlchemy config. For instance, if you'd like to use `./alembic`:
.. code-block:: python
config = SQLAlchemyAsyncConfig(
alembic_config=AlembicAsyncConfig(
script_location="./alembic/",
),
)
And then run the following to initialize the migrations directory:
.. code-block:: shell-session
$ litestar database init ./alembic
You will now be configured to use the alternate directory for migrations.
Generate New Migrations
^^^^^^^^^^^^^^^^^^^^^^^
Once configured, you can run the following command to auto-generate new alembic migrations:
.. code-block:: shell-session
$ litestar database make-migrations
Upgrading a Database
^^^^^^^^^^^^^^^^^^^^
You can upgrade a database to the latest version by running the following command:
.. code-block:: shell-session
$ litestar database upgrade
python-advanced-alchemy-0.34.0/docs/usage/index.rst 0000664 0000000 0000000 00000002452 14763441450 0022212 0 ustar 00root root 0000000 0000000 =====
Usage
=====
This guide demonstrates building a complete blog system using Advanced Alchemy's features. We'll create a system that supports:
- Posts with tags and slugs
- Tag management with automatic deduplication
- Efficient querying and pagination
- Type-safe database operations
- Schema validation and transformation
.. toctree::
:maxdepth: 2
:caption: Core Features
modeling
repositories
services
types
cli
database_seeding
.. toctree::
:maxdepth: 2
:caption: Framework Integration
frameworks/litestar
frameworks/flask
frameworks/fastapi
The guide follows a practical approach:
1. **Modeling**: Define SQLAlchemy models with Advanced Alchemy's enhanced base classes
2. **Repositories**: Implement type-safe database operations using repositories
3. **Services**: Build business logic with automatic schema validation
4. **Framework Integration**: Integrate with Litestar and FastAPI
Each section includes:
- Concepts and usage overview
- Complete code examples
- Best practices
- Performance considerations
- Error handling strategies
Prerequisites
-------------
- Python 3.9+
- SQLAlchemy 2.0+
- Pydantic v2 or Msgspec (for schema validation)
- Basic understanding of SQLAlchemy and async programming
- Basic understanding of Pydantic or Msgspec
python-advanced-alchemy-0.34.0/docs/usage/modeling.rst 0000664 0000000 0000000 00000023157 14763441450 0022706 0 ustar 00root root 0000000 0000000 ========
Modeling
========
Advanced Alchemy enhances SQLAlchemy's modeling capabilities with production-ready base classes, mixins, and specialized types.
This guide demonstrates modeling for a blog system with posts and tags, showcasing key features and best practices.
Base Classes
------------
Advanced Alchemy provides several base classes optimized for different use cases. Any model can utilize these pre-defined declarative bases from sqlchemy. Here's a brief overview of the included classes:
.. list-table:: Base Classes and Features
:header-rows: 1
:widths: 20 80
* - Base Class
- Features
* - ``BigIntBase``
- BIGINT primary keys for tables
* - ``BigIntAuditBase``
- BIGINT primary keys for tables, Automatic created_at/updated_at timestamps
* - ``UUIDBase``
- UUID primary keys
* - ``UUIDv6Base``
- UUIDv6 primary keys
* - ``UUIDv7Base``
- UUIDv7 primary keys
* - ``UUIDAuditBase``
- UUID primary keys, Automatic created_at/updated_at timestamps
* - ``UUIDv6AuditBase``
- UUIDv6 primary keys, Automatic created_at/updated_at timestamps
* - ``UUIDv7AuditBase``
- Time-sortable UUIDv7 primary keys, Automatic created_at/updated_at timestamps
* - ``NanoIDBase``
- URL-friendly unique identifiers, Shorter than UUIDs, collision resistant
* - ``NanoIDAuditBase``
- URL-friendly IDs with audit timestamps, Combines Nanoid benefits with audit trails
Mixins
-------
Additionally, Advanced Alchemy provides mixins to enhance model functionality:
.. list-table:: Available Mixins
:header-rows: 1
:widths: 20 80
* - Mixin
- Features
* - ``SlugKey``
- | Adds URL-friendly slug field
* - ``AuditColumns``
- | Automatic created_at/updated_at timestamps
| Tracks record modifications
* - ``UniqueMixin``
- | Automatic Select or Create for many-to-many relationships
Basic Model Example
-------------------
Let's start with a simple blog post model:
.. code-block:: python
import datetime
from typing import Optional
from advanced_alchemy.base import BigIntAuditBase
from sqlalchemy.orm import Mapped, mapped_column
class Post(BigIntAuditBase):
"""Blog post model with auto-incrementing ID and audit fields.
Attributes:
title: The post title
content: The post content
published: Publication status
created_at: Timestamp of creation (from BigIntAuditBase)
updated_at: Timestamp of last update (from BigIntAuditBase)
"""
title: Mapped[str] = mapped_column(index=True)
content: Mapped[str]
published: Mapped[bool] = mapped_column(default=False)
published_at: Mapped[Optional[datetime.datetime]] = mapped_column(default=None)
.. _many_to_many_relationships:
Many-to-Many Relationships
--------------------------
Let's implement a tagging system using a many-to-many relationship. This example demonstrates:
- Association table configuration
- Relationship configuration with lazy loading
- Slug key mixin
- Index creation
.. code-block:: python
from __future__ import annotations
from sqlalchemy import Column, ForeignKey, Table
from sqlalchemy.orm import relationship
from sqlalchemy.orm import Mapped, mapped_column
from advanced_alchemy.base import BigIntAuditBase, orm_registry, SlugKey
from typing import List
# Association table for post-tag relationship
post_tag = Table(
"post_tag",
orm_registry.metadata,
Column("post_id", ForeignKey("post.id", ondelete="CASCADE"), primary_key=True),
Column("tag_id", ForeignKey("tag.id", ondelete="CASCADE"), primary_key=True)
)
class Post(BigIntAuditBase):
title: Mapped[str] = mapped_column(index=True)
content: Mapped[str]
published: Mapped[bool] = mapped_column(default=False)
# Many-to-many relationship with tags
tags: Mapped[List["Tag"]] = relationship(
secondary=post_tag,
back_populates="posts",
lazy="selectin"
)
class Tag(BigIntAuditBase, SlugKey):
"""Tag model with automatic slug generation.
The SlugKey mixin automatically adds a slug field to the model.
"""
name: Mapped[str] = mapped_column(unique=True, index=True)
posts: Mapped[List[Post]] = relationship(
secondary=post_tag,
back_populates="tags",
viewonly=True
)
If we want to interact with the models above, we might use something like the following:
.. code-block:: python
from sqlalchemy.ext.asyncio import AsyncSession
async def add_tags_to_post(
session: AsyncSession,
post: Post,
tag_names: list[str]
) -> Post:
"""Add tags to a post, looking up existing tags and creating new ones if needed."""
existing_tags = await session.scalars(
select(Tag).filter(Tag.slug.in_([slugify(name) for name in tag_names]))
)
new_tags = [Tag(name=name, slug=slugify(name)) for name in tag_names if name not in {tag.name for tag in existing_tags}]
post.tags.extend(new_tags + list(existing_tags))
session.merge(post)
await session.flush()
return post
Fortunately, we can remove some of this logic thanks to :class:`UniqueMixin`.
.. _using_unique_mixin:
Using :class:`UniqueMixin`
--------------------------
:class:`UniqueMixin` provides automatic handling of unique constraints and merging of duplicate records. When using the mixin,
you must implement two classmethods: :meth:`unique_hash ` and :meth:`unique_filter `. These methods enable:
- Automatic lookup of existing records
- Safe merging of duplicates
- Atomic get-or-create operations
- Configurable uniqueness criteria
Let's enhance our Tag model with :class:`UniqueMixin`:
.. code-block:: python
from advanced_alchemy.base import BigIntAuditBase, SlugKey
from advanced_alchemy.mixins import UniqueMixin
from advanced_alchemy.utils.text import slugify
from sqlalchemy.sql.elements import ColumnElement
from typing import Hashable
class Tag(BigIntAuditBase, SlugKey, UniqueMixin):
"""Tag model with unique name constraint and automatic slug generation.
The UniqueMixin provides:
- Automatic lookup of existing records
- Safe merging of duplicates
- Consistent slug generation
"""
name: Mapped[str] = mapped_column(unique=True, index=True)
posts: Mapped[list[Post]] = relationship(
secondary=post_tag,
back_populates="tags",
viewonly=True
)
@classmethod
def unique_hash(cls, name: str, slug: str | None = None) -> Hashable:
"""Generate a unique hash for deduplication."""
return slugify(name)
@classmethod
def unique_filter(
cls,
name: str,
slug: str | None = None,
) -> ColumnElement[bool]:
"""SQL filter for finding existing records."""
return cls.slug == slugify(name)
We can now take advantage of :meth:`UniqueMixin.as_unique_async` to simplify the logic.
.. code-block:: python
from sqlalchemy.ext.asyncio import AsyncSession
async def add_tags_to_post(
session: AsyncSession,
post: Post,
tag_names: list[str]
) -> Post:
"""Add tags to a post, creating new tags if needed."""
# The UniqueMixin automatically handles:
# 1. Looking up existing tags
# 2. Creating new tags if needed
# 3. Merging duplicates
post.tags = [
await Tag.as_unique_async(session, name=tag_text, slug=slugify(tag_text))
for tag_text in tag_names
]
session.merge(post)
await session.flush()
return post
Customizing Declarative Base
-----------------------------
In case one of the built in declarative bases do not meet your needs (or you already have your own), Advanced Alchemy already supports customizing the ``DeclarativeBase`` class.
Here's an example showing a class to generate a server-side UUID primary key for `postgres`:
.. code-block:: python
import datetime
from uuid import UUID, uuid4
from advanced_alchemy.base import CommonTableAttributes, orm_registry
from sqlalchemy import text
from sqlalchemy.orm import (
DeclarativeBase,
Mapped,
declared_attr,
mapped_column,
orm_insert_sentinel,
)
class ServerSideUUIDPrimaryKey:
"""UUID Primary Key Field Mixin."""
id: Mapped[UUID] = mapped_column(default=uuid4, primary_key=True, server_default=text("gen_random_uuid()"))
"""UUID Primary key column."""
# noinspection PyMethodParameters
@declared_attr
def _sentinel(cls) -> Mapped[int]:
"""Sentinel value required for SQLAlchemy bulk DML with UUIDs."""
return orm_insert_sentinel(name="sa_orm_sentinel")
class ServerSideUUIDBase(ServerSideUUIDPrimaryKey, CommonTableAttributes, DeclarativeBase):
"""Base for all SQLAlchemy declarative models with the custom UUID primary key ."""
registry = orm_registry
# Using ServerSideUUIDBase
class User(ServerSideUUIDBase):
"""User model with ServerSideUUIDBase."""
username: Mapped[str] = mapped_column(unique=True, index=True)
email: Mapped[str] = mapped_column(unique=True)
full_name: Mapped[str]
is_active: Mapped[bool] = mapped_column(default=True)
last_login: Mapped[datetime.datetime | None] = mapped_column(default=None)
With this foundation in place, let's look at the repository pattern.
python-advanced-alchemy-0.34.0/docs/usage/repositories.rst 0000664 0000000 0000000 00000016765 14763441450 0023646 0 ustar 00root root 0000000 0000000 ============
Repositories
============
Advanced Alchemy's repository pattern provides a clean, consistent interface for database operations.
This pattern abstracts away the complexity of SQLAlchemy sessions and query-building while providing
type-safe operations.
Understanding Repositories
--------------------------
A repository acts as a collection-like interface to your database models, providing:
- Type-safe CRUD operations
- Filtering and pagination
- Bulk operations
- Transaction management
- Specialized repository types for common patterns
Base Repository Types
---------------------
.. list-table:: Repository Types
:header-rows: 1
:widths: 30 70
* - Repository Class
- Features
* - ``SQLAlchemyAsyncRepository``
- | - Async session support
| - Basic CRUD operations
| - Filtering and pagination
| - Bulk operations
* - ``SQLAlchemyAsyncSlugRepository``
- | - Async session support
| - All base repository features
| - Slug-based lookups
| - URL-friendly operations
* - ``SQLAlchemyAsyncQueryRepository``
- | - Async session support
| - Custom query execution
| - Complex aggregations
| - Raw SQL support
* - ``SQLAlchemySyncRepository``
- | - Sync session support
| - Basic CRUD operations
| - Filtering and pagination
| - Bulk operations
* - ``SQLAlchemySyncSlugRepository``
- | - Sync session support
| - All base repository features
| - Slug-based lookups
| - URL-friendly operations
* - ``SQLAlchemySyncQueryRepository``
- | - Sync session support
| - Custom query execution
| - Complex aggregations
| - Raw SQL support
Basic Repository Usage
----------------------
.. note::
The following examples assumes the existence of the
``Post`` model defined in :ref:`many_to_many_relationships` and the
``Tag`` model defined in :ref:`using_unique_mixin`.
Let's implement a basic repository for our blog post model:
.. code-block:: python
from advanced_alchemy.repository import SQLAlchemyAsyncRepository
from sqlalchemy.ext.asyncio import AsyncSession
class PostRepository(SQLAlchemyAsyncRepository[Post]):
"""Repository for managing blog posts."""
model_type = Post
async def create_post(session: AsyncSession, title: str, content: str, author_id: UUID) -> Post:
repository = PostRepository(session=session)
return await repository.add(
Post(title=title, content=content, author_id=author_id), auto_commit=True
)
Filtering and Querying
----------------------
Advanced Alchemy provides powerful filtering capabilities:
.. code-block:: python
import datetime
async def get_recent_posts(session: AsyncSession) -> list[Post]:
repository = PostRepository(session=session)
# Create filter for posts from last week
return await repository.list(
Post.published == True,
Post.created_at > (datetime.datetime.utcnow() - timedelta(days=7))
)
Pagination
----------
`list_and_count` enables us to quickly create paginated queries that include a total count of rows.
.. code-block:: python
from advanced_alchemy.filters import LimitOffset
async def get_paginated_posts(
session: AsyncSession,
page: int = 1,
page_size: int = 20
) -> tuple[list[Post], int]:
repository = PostRepository(session=session)
# Get page of results and total count
results, total = await repository.list_and_count(
LimitOffset(offset=page, limit=page_size)
)
return results, total
Bulk Operations
---------------
Repositories support efficient bulk operations:
Create Many
-----------
.. code-block:: python
async def create_posts(session: AsyncSession, data: list[tuple[str, str, UUID]]) -> list[Post]:
repository = PostRepository(session=session)
# Create posts
return await repository.create_many(
[Post(title=title, content=content, author_id=author_id) for title, content, author_id in data],
auto_commit=True
)
Update Many
-----------
.. code-block:: python
async def publish_posts(session: AsyncSession, post_ids: list[int]) -> list[Post]:
repository = PostRepository(session=session)
# Fetch posts to update
posts = await repository.list(Post.id.in_(post_ids), published =False)
# Update all posts
for post in posts:
post.published = True
return await repository.update_many(posts)
Delete Many
-----------
.. code-block:: python
async def delete_posts(session: AsyncSession, post_ids: list[int]) -> list[Post]:
repository = PostRepository(session=session)
return await repository.delete_many(Post.id.in_(post_ids))
Delete Where
-------------
.. code-block:: python
async def delete_unpublished_posts (session: AsyncSession) -> list[Post]:
repository = PostRepository(session=session)
return await repository.delete_where(Post.published == False)
Transaction Management
----------------------
.. code-block:: python
async def create_post_with_tags(
session: AsyncSession,
title: str,
content: str,
tag_names: list[str]
) -> Post:
# Both repositories share the same transaction
post_repo = PostRepository(session=session)
tag_repo = TagRepository(session=session)
async with session.begin():
# Create or get existing tags
tags = []
for name in tag_names:
tag = await tag_repo.get_one_or_none(name=name)
if not tag:
tag = await tag_repo.add(Tag(name=name, slug=slugify(name)))
tags.append(tag)
# Create post with tags
post = await post_repo.add(
Post(title=title, content=content, tags=tags),
auto_commit=True
)
return post
.. seealso::
This is just to illustrate the concept. In practice, :class:`UniqueMixin`
should be used to handle this lookup even more easily. See :ref:`using_unique_mixin`.
Specialized Repositories
------------------------
Advanced Alchemy provides specialized repositories for common patterns.
Slug Repository
~~~~~~~~~~~~~~~
For models using the :class:`SlugKey` mixin, there is a specialized Slug repository that adds a ``get_by_slug`` method:
.. code-block:: python
from advanced_alchemy.repository import SQLAlchemyAsyncSlugRepository
class ArticleRepository(SQLAlchemyAsyncSlugRepository[Article]):
"""Repository for articles with slug-based lookups."""
model_type = Article
async def get_article_by_slug(session: AsyncSession, slug: str) -> Article:
repository = ArticleRepository(session=session)
return await repository.get_by_slug(slug)
Query Repository
----------------
For complex custom queries:
.. code-block:: python
from advanced_alchemy.repository import SQLAlchemyAsyncQueryRepository
from sqlalchemy import select, func
async def get_posts_per_author(db_session: AsyncSession) -> list[tuple[UUID, int]]:
repository = SQLAlchemyAsyncQueryRepository(session=db_session)
return await repository.list(select(Post.author_id, func.count(Post.id)).group_by(Post.author_id))
This covers the core functionality of repositories. The next section will explore services,
which build upon repositories to provide higher-level business logic and data transformation.
python-advanced-alchemy-0.34.0/docs/usage/services.rst 0000664 0000000 0000000 00000017012 14763441450 0022724 0 ustar 00root root 0000000 0000000 ========
Services
========
Services in Advanced Alchemy build upon repositories to provide higher-level business logic, data transformation,
and schema validation. While repositories handle raw database operations, services handle the application's
business rules and data transformation needs.
Understanding Services
----------------------
Services provide:
- Business logic abstraction
- Data transformation using Pydantic or Msgspec models
- Input validation
- Complex operations involving multiple repositories
- Consistent error handling
- Automatic schema validation and transformation
Basic Service Usage
-------------------
Let's build upon our blog example by creating services for posts and tags:
.. code-block:: python
import datetime
from typing import Optional, List
from uuid import UUID
from advanced_alchemy.service import SQLAlchemyAsyncRepositoryService
from pydantic import BaseModel
# Pydantic schemas for validation
class PostCreate(BaseModel):
title: str
content: str
tag_names: List[str]
class PostUpdate(BaseModel):
title: Optional[str] = None
content: Optional[str] = None
published: Optional[bool] = None
class PostResponse(BaseModel):
id: int
title: str
content: str
published: bool
published_at: Optional[datetime.datetime]
created_at: datetime.datetime
updated_at: datetime.datetime
tags: List["TagResponse"]
model_config = {"from_attributes": True}
class PostService(SQLAlchemyAsyncRepositoryService[Post]):
"""Service for managing blog posts with automatic schema validation."""
repository_type = PostRepository
Service Operations
------------------
Services provide high-level methods for common operations:
.. code-block:: python
async def create_post(
post_service: PostService,
data: PostCreate,
) -> PostResponse:
"""Create a post with associated tags."""
post = await post_service.create(
data,
auto_commit=True,
)
return post_service.to_schema(post, schema_type=PostResponse)
async def update_post(
post_service: PostService,
post_id: int,
data: PostUpdate,
) -> PostResponse:
"""Update a post."""
post = await post_service.update(
item_id=post_id,
data=data,
auto_commit=True,
)
return post_service.to_schema(post, schema_type=PostResponse)
Complex Operations
-------------------
Services can handle complex business logic involving multiple models.
The code below shows a service coordinating posts and tags.
.. note::
The following example assumes the existence of the
``Post`` model defined in :ref:`many_to_many_relationships` and the
``Tag`` model defined in :ref:`using_unique_mixin`.
.. code-block:: python
from typing import List
from advanced_alchemy.exceptions import ErrorMessages
from advanced_alchemy.service import SQLAlchemyAsyncRepositoryService
from advanced_alchemy.service.typing import ModelDictT
from .models import Post, Tag
class PostService(SQLAlchemyAsyncRepositoryService[Post, PostRepository]):
default_load_options = [Post.tags]
repository_type = PostRepository
match_fields = ["name"]
# Override creation behavior to handle tags
async def create(self, data: ModelDictT[Post], **kwargs) -> Post:
"""Create a new post with tags, if provided."""
tags_added: list[str] = []
if isinstance(data, dict):
data["id"] = data.get("id", uuid4())
tags_added = data.pop("tags", [])
data = await self.to_model(data, "create")
if tags_added:
data.tags.extend(
[
await Tag.as_unique_async(self.repository.session, name=tag_text, slug=slugify(tag_text))
for tag_text in tags_added
],
)
return await super().create(data=data, **kwargs)
# Override update behavior to handle tags
async def update(
self,
data: ModelDictT[Post],
item_id: Any | None = None,
**kwargs,
) -> Post:
"""Update a post with tags, if provided."""
tags_updated: list[str] = []
if isinstance(data, dict):
tags_updated.extend(data.pop("tags", None) or [])
data["id"] = item_id
data = await self.to_model(data, "update")
existing_tags = [tag.name for tag in data.tags]
tags_to_remove = [tag for tag in data.tags if tag.name not in tags_updated]
tags_to_add = [tag for tag in tags_updated if tag not in existing_tags]
for tag_rm in tags_to_remove:
data.tags.remove(tag_rm)
data.tags.extend(
[
await Tag.as_unique_async(self.repository.session, name=tag_text, slug=slugify(tag_text))
for tag_text in tags_to_add
],
)
return await super().update(
data=data,
item_id=item_id,
**kwargs,
)
# A custom write operation
async def publish_post(
self,
post_id: int,
publish: bool = True,
) -> PostResponse:
"""Publish or unpublish a post with timestamp."""
data = PostUpdate(
published=publish,
published_at=datetime.datetime.utcnow() if publish else None,
)
post = await self.repository.update(
item_id=post_id,
data=data,
auto_commit=True,
)
return self.to_schema(post, schema_type=PostResponse)
# A custom read operation
async def get_trending_posts(
self,
days: int = 7,
min_views: int = 100,
) -> List[PostResponse]:
"""Get trending posts based on view count and recency."""
posts = await self.post_service.list(
Post.published == True,
Post.created_at > (datetime.datetime.utcnow() - timedelta(days=days)),
Post.view_count >= min_views,
order_by=[Post.view_count.desc()],
)
return self.post_service.to_schema(posts, schema_type=PostResponse)
# Override the default `to_model` to handle slugs
async def to_model(self, data: ModelDictT[Post], operation: str | None = None) -> Post:
"""Convert a dictionary, msgspec Struct, or Pydantic model to a Post model. """
if (is_msgspec_struct(data) or is_pydantic_model(data)) and operation in {"create", "update"} and data.slug is None:
data.slug = await self.repository.get_available_slug(data.name)
if is_dict(data) and "slug" not in data and operation == "create":
data["slug"] = await self.repository.get_available_slug(data["name"])
if is_dict(data) and "slug" not in data and "name" in data and operation == "update":
data["slug"] = await self.repository.get_available_slug(data["name"])
return await super().to_model(data, operation)
Framework Integration
---------------------
Services integrate seamlessly with both Litestar and FastAPI.
- :doc:`frameworks/litestar`
- :doc:`frameworks/fastapi`
python-advanced-alchemy-0.34.0/docs/usage/types.rst 0000664 0000000 0000000 00000010723 14763441450 0022247 0 ustar 00root root 0000000 0000000 =====
Types
=====
Advanced Alchemy provides several custom SQLAlchemy types.
All types include:
- Proper Python type annotations for modern IDE support
- Automatic dialect-specific implementations
- Consistent behavior across different database backends
- Integration with SQLAlchemy's type system
Here's a short example using multiple types:
.. code-block:: python
from sqlalchemy import Column
from advanced_alchemy.types import (
DateTimeUTC,
EncryptedString,
GUID,
JsonB,
)
class User:
id = Column(GUID, primary_key=True)
created_at = Column(DateTimeUTC)
password = Column(EncryptedString(key="secret-key"))
preferences = Column(JsonB)
DateTimeUTC
-----------
- Ensures all datetime values are stored in UTC
- Requires timezone information for input values
- Automatically converts stored values to UTC timezone
- Returns timezone-aware datetime objects
.. code-block:: python
from advanced_alchemy.types import DateTimeUTC
class MyModel:
created_at = Column(DateTimeUTC)
Encrypted Types
---------------
Two types for storing encrypted data with support for multiple encryption backends:
EncryptedString
~~~~~~~~~~~~~~~
For storing encrypted string values with configurable length.
.. code-block:: python
from advanced_alchemy.types import EncryptedString
class MyModel:
secret = Column(EncryptedString(key="my-secret-key"))
EncryptedText
~~~~~~~~~~~~~
For storing larger encrypted text content (CLOB).
.. code-block:: python
from advanced_alchemy.types import EncryptedText
class MyModel:
large_secret = Column(EncryptedText(key="my-secret-key"))
Encryption Backends
~~~~~~~~~~~~~~~~~~~
Two encryption backends are available:
- :class:`advanced_alchemy.types.FernetBackend`: Uses Python's cryptography library with Fernet encryption
- :class:`advanced_alchemy.types.PGCryptoBackend`: Uses PostgreSQL's pgcrypto extension (PostgreSQL only)
GUID
----
A platform-independent GUID/UUID type that adapts to different database backends:
- PostgreSQL/DuckDB/CockroachDB: Uses native UUID type
- MSSQL: Uses UNIQUEIDENTIFIER
- Oracle: Uses RAW(16)
- Others: Uses BINARY(16) or CHAR(32)
.. code-block:: python
from advanced_alchemy.types import GUID
class MyModel:
id = Column(GUID, primary_key=True)
BigIntIdentity
--------------
A BigInteger type that automatically falls back to Integer for SQLite:
.. code-block:: python
from advanced_alchemy.types import BigIntIdentity
class MyModel:
id = Column(BigIntIdentity, primary_key=True)
JsonB
-----
A JSON type that uses the most efficient JSON storage for each database:
- PostgreSQL/CockroachDB: Uses native JSONB
- Oracle: Uses Binary JSON (BLOB with JSON constraint)
- Others: Uses standard JSON type
.. code-block:: python
from advanced_alchemy.types import JsonB
class MyModel:
data = Column(JsonB)
Using Types with Alembic
------------------------
If you are not using Advanced Alchemy's built-in `alembic` templates, you need to properly configure your ``script.py.mako`` template. The key is to make the custom types available through the ``sa`` namespace that Alembic uses.
Type Aliasing
~~~~~~~~~~~~~
In your ``script.py.mako``, you'll need both the imports and the type aliasing:
.. code-block:: python
:caption: script.py.mako
"""${message}
Revision ID: ${up_revision}
Revises: ${down_revision | comma,n}
Create Date: ${create_date}
"""
import sqlalchemy as sa
# ...
# Import the types
from advanced_alchemy.types import (
EncryptedString,
EncryptedText,
GUID,
ORA_JSONB,
DateTimeUTC
)
# Create aliases in the sa namespace
sa.GUID = GUID
sa.DateTimeUTC = DateTimeUTC
sa.ORA_JSONB = ORA_JSONB
sa.EncryptedString = EncryptedString
sa.EncryptedText = EncryptedText
# ...
.. note::
These assignments are necessary because alembic uses the ``sa`` namespace when generating migrations.
Without these aliases, Alembic might not properly reference the custom types.
This allows you to use the types in migrations like this:
.. code-block:: python
# In generated migration file
def upgrade():
op.create_table(
'users',
sa.Column('id', sa.GUID(), primary_key=True),
sa.Column('created_at', sa.DateTimeUTC(), nullable=False),
sa.Column('secret', sa.EncryptedString(), nullable=True),
)
python-advanced-alchemy-0.34.0/examples/ 0000775 0000000 0000000 00000000000 14763441450 0020130 5 ustar 00root root 0000000 0000000 python-advanced-alchemy-0.34.0/examples/__init__.py 0000664 0000000 0000000 00000000000 14763441450 0022227 0 ustar 00root root 0000000 0000000 python-advanced-alchemy-0.34.0/examples/fastapi_service.py 0000664 0000000 0000000 00000014513 14763441450 0023655 0 ustar 00root root 0000000 0000000 # ruff: noqa: FA100
"""This example demonstrates how to use the FastAPI CLI to manage the database."""
# /// script
# dependencies = [
# "advanced_alchemy",
# "fastapi[standard]",
# "orjson"
# ]
# ///
import datetime
from collections.abc import AsyncGenerator
from typing import Annotated, Optional
from uuid import UUID
from fastapi import APIRouter, Depends, FastAPI
from pydantic import BaseModel
from sqlalchemy import ForeignKey
from sqlalchemy.ext.asyncio import AsyncSession
from sqlalchemy.orm import Mapped, mapped_column, relationship
from advanced_alchemy.extensions.fastapi import (
AdvancedAlchemy,
AsyncSessionConfig,
SQLAlchemyAsyncConfig,
base,
filters,
repository,
service,
)
# Models
# #######################
class BookModel(base.UUIDAuditBase):
__tablename__ = "book"
title: Mapped[str]
author_id: Mapped[UUID] = mapped_column(ForeignKey("author.id"))
author: Mapped["AuthorModel"] = relationship(lazy="joined", innerjoin=True, viewonly=True)
# the SQLAlchemy base includes a declarative model for you to use in your models.
# The `Base` class includes a `UUID` based primary key (`id`)
class AuthorModel(base.UUIDBase):
# we can optionally provide the table name instead of auto-generating it
__tablename__ = "author"
name: Mapped[str]
dob: Mapped[Optional[datetime.date]]
books: Mapped[list[BookModel]] = relationship(back_populates="author", lazy="selectin")
# The `AuditBase` class includes the same UUID` based primary key (`id`) and 2
# additional columns: `created` and `updated`. `created` is a timestamp of when the
# record created, and `updated` is the last time the record was modified.
# we will explicitly define the schema instead of using DTO objects for clarity.
class Author(BaseModel):
id: Optional[UUID]
name: str
dob: Optional[datetime.date]
class AuthorCreate(BaseModel):
name: str
dob: Optional[datetime.date]
class AuthorUpdate(BaseModel):
name: Optional[str]
dob: Optional[datetime.date]
class AuthorService(service.SQLAlchemyAsyncRepositoryService[AuthorModel]):
"""Author repository."""
class Repo(repository.SQLAlchemyAsyncRepository[AuthorModel]):
"""Author repository."""
model_type = AuthorModel
repository_type = Repo
# #######################
# Application
# #######################
sqlalchemy_config = SQLAlchemyAsyncConfig(
connection_string="sqlite+aiosqlite:///test.sqlite",
session_config=AsyncSessionConfig(expire_on_commit=False),
create_all=True,
)
app = FastAPI()
alchemy = AdvancedAlchemy(config=sqlalchemy_config, app=app)
DatabaseSession = Annotated[AsyncSession, Depends(alchemy.provide_session())]
# #######################
# Dependencies
# #######################
async def provide_authors_service(db_session: DatabaseSession) -> AsyncGenerator[AuthorService, None]:
"""This provides the default Authors repository."""
async with AuthorService.new(session=db_session) as service:
yield service
# we can optionally override the default `select` used for the repository to pass in
# specific SQL options such as join details
async def provide_author_details_service(db_session: DatabaseSession) -> AsyncGenerator[AuthorService, None]:
"""This provides a simple example demonstrating how to override the join options for the repository."""
async with AuthorService.new(load=[AuthorModel.books], session=db_session) as service:
yield service
def provide_limit_offset_pagination(current_page: int = 1, page_size: int = 10) -> filters.LimitOffset:
"""Add offset/limit pagination.
Return type consumed by `Repository.apply_limit_offset_pagination()`.
Parameters
----------
current_page : int
LIMIT to apply to select.
page_size : int
OFFSET to apply to select.
"""
return filters.LimitOffset(page_size, page_size * (current_page - 1))
# #######################
# Routes
# #######################
author_router = APIRouter()
@author_router.get(path="/authors", response_model=service.OffsetPagination[Author])
async def list_authors(
authors_service: Annotated[AuthorService, Depends(provide_authors_service)],
limit_offset: Annotated[filters.LimitOffset, Depends(provide_limit_offset_pagination)],
) -> service.OffsetPagination[AuthorModel]:
"""List authors."""
results, total = await authors_service.list_and_count(limit_offset)
return authors_service.to_schema(results, total, filters=[limit_offset])
@author_router.post(path="/authors", response_model=Author)
async def create_author(
authors_service: Annotated[AuthorService, Depends(provide_authors_service)],
data: AuthorCreate,
) -> AuthorModel:
"""Create a new author."""
obj = await authors_service.create(data)
return authors_service.to_schema(obj)
# we override the authors_repo to use the version that joins the Books in
@author_router.get(path="/authors/{author_id}", response_model=Author)
async def get_author(
authors_service: Annotated[AuthorService, Depends(provide_authors_service)],
author_id: UUID,
) -> AuthorModel:
"""Get an existing author."""
obj = await authors_service.get(author_id)
return authors_service.to_schema(obj)
@author_router.patch(
path="/authors/{author_id}",
response_model=Author,
)
async def update_author(
authors_service: Annotated[AuthorService, Depends(provide_authors_service)],
data: AuthorUpdate,
author_id: UUID,
) -> AuthorModel:
"""Update an author."""
obj = await authors_service.update(data, item_id=author_id)
return authors_service.to_schema(obj)
@author_router.delete(path="/authors/{author_id}")
async def delete_author(
authors_service: Annotated[AuthorService, Depends(provide_authors_service)],
author_id: UUID,
) -> None:
"""Delete a author from the system."""
_ = await authors_service.delete(author_id)
app.include_router(author_router)
if __name__ == "__main__":
"""Launches the FastAPI CLI with the database commands registered"""
from fastapi_cli.cli import app as fastapi_cli_app # pyright: ignore[reportUnknownVariableType]
from typer.main import get_group
from advanced_alchemy.extensions.fastapi.cli import register_database_commands
click_app = get_group(fastapi_cli_app) # pyright: ignore[reportUnknownArgumentType]
click_app.add_command(register_database_commands(app))
click_app()
python-advanced-alchemy-0.34.0/examples/flask/ 0000775 0000000 0000000 00000000000 14763441450 0021230 5 ustar 00root root 0000000 0000000 python-advanced-alchemy-0.34.0/examples/flask/__init__.py 0000664 0000000 0000000 00000000000 14763441450 0023327 0 ustar 00root root 0000000 0000000 python-advanced-alchemy-0.34.0/examples/flask/flask_services.py 0000664 0000000 0000000 00000006124 14763441450 0024610 0 ustar 00root root 0000000 0000000 from __future__ import annotations
import datetime # noqa: TC003
import os
from uuid import UUID # noqa: TC003
from flask import Flask, request
from msgspec import Struct
from sqlalchemy import ForeignKey
from sqlalchemy.orm import Mapped, mapped_column, relationship
from advanced_alchemy.extensions.flask import (
AdvancedAlchemy,
FlaskServiceMixin,
SQLAlchemySyncConfig,
base,
filters,
repository,
service,
)
class Author(base.UUIDBase):
"""Author model."""
name: Mapped[str]
dob: Mapped[datetime.date | None]
books: Mapped[list[Book]] = relationship(back_populates="author", lazy="noload")
class Book(base.UUIDAuditBase):
"""Book model."""
title: Mapped[str]
author_id: Mapped[UUID] = mapped_column(ForeignKey("author.id"))
author: Mapped[Author] = relationship(lazy="joined", innerjoin=True, viewonly=True)
class AuthorService(service.SQLAlchemySyncRepositoryService[Author], FlaskServiceMixin):
"""Author service."""
class Repo(repository.SQLAlchemySyncRepository[Author]):
"""Author repository."""
model_type = Author
repository_type = Repo
class AuthorSchema(Struct):
"""Author schema."""
name: str
id: UUID | None = None
dob: datetime.date | None = None
app = Flask(__name__)
config = SQLAlchemySyncConfig(connection_string="sqlite:///local.db", commit_mode="autocommit", create_all=True)
alchemy = AdvancedAlchemy(config, app)
@app.route("/authors", methods=["GET"])
def list_authors():
"""List authors with pagination."""
page, page_size = request.args.get("currentPage", 1, type=int), request.args.get("pageSize", 10, type=int)
limit_offset = filters.LimitOffset(limit=page_size, offset=page_size * (page - 1))
service = AuthorService(session=alchemy.get_sync_session())
results, total = service.list_and_count(limit_offset)
response = service.to_schema(results, total, filters=[limit_offset], schema_type=AuthorSchema)
return service.jsonify(response)
@app.route("/authors", methods=["POST"])
def create_author():
"""Create a new author."""
service = AuthorService(session=alchemy.get_sync_session())
obj = service.create(**request.get_json())
return service.jsonify(obj)
@app.route("/authors/", methods=["GET"])
def get_author(author_id: UUID):
"""Get an existing author."""
service = AuthorService(session=alchemy.get_sync_session(), load=[Author.books])
obj = service.get(author_id)
return service.jsonify(obj)
@app.route("/authors/", methods=["PATCH"])
def update_author(author_id: UUID):
"""Update an author."""
service = AuthorService(session=alchemy.get_sync_session(), load=[Author.books])
obj = service.update(**request.get_json(), item_id=author_id)
return service.jsonify(obj)
@app.route("/authors/", methods=["DELETE"])
def delete_author(author_id: UUID):
"""Delete an author."""
service = AuthorService(session=alchemy.get_sync_session())
service.delete(author_id)
return "", 204
if __name__ == "__main__":
app.run(debug=os.environ["ENV"] == "dev")
python-advanced-alchemy-0.34.0/examples/litestar/ 0000775 0000000 0000000 00000000000 14763441450 0021757 5 ustar 00root root 0000000 0000000 python-advanced-alchemy-0.34.0/examples/litestar/__init__.py 0000664 0000000 0000000 00000000000 14763441450 0024056 0 ustar 00root root 0000000 0000000 python-advanced-alchemy-0.34.0/examples/litestar/litestar_repo_only.py 0000664 0000000 0000000 00000015532 14763441450 0026254 0 ustar 00root root 0000000 0000000 from __future__ import annotations
import datetime # noqa: TC003
from typing import TYPE_CHECKING, Optional
from uuid import UUID # noqa: TC003
from litestar import Litestar
from litestar.controller import Controller
from litestar.di import Provide
from litestar.handlers.http_handlers.decorators import delete, get, patch, post
from litestar.pagination import OffsetPagination
from litestar.params import Parameter
from pydantic import BaseModel as _BaseModel
from pydantic import TypeAdapter
from sqlalchemy import ForeignKey
from sqlalchemy.orm import Mapped, mapped_column, relationship
from advanced_alchemy.base import UUIDAuditBase, UUIDBase
from advanced_alchemy.config import AsyncSessionConfig
from advanced_alchemy.extensions.litestar.plugins import SQLAlchemyAsyncConfig, SQLAlchemyPlugin
from advanced_alchemy.filters import LimitOffset
from advanced_alchemy.repository import SQLAlchemyAsyncRepository
if TYPE_CHECKING:
from sqlalchemy.ext.asyncio import AsyncSession
class BaseModel(_BaseModel):
"""Extend Pydantic's BaseModel to enable ORM mode"""
model_config = {"from_attributes": True}
# the SQLAlchemy base includes a declarative model for you to use in your models.
# The `Base` class includes a `UUID` based primary key (`id`)
class AuthorModel(UUIDBase):
# we can optionally provide the table name instead of auto-generating it
__tablename__ = "author"
name: Mapped[str]
dob: Mapped[Optional[datetime.date]] # noqa: UP007
books: Mapped[list[BookModel]] = relationship(back_populates="author", lazy="noload")
# The `AuditBase` class includes the same UUID` based primary key (`id`) and 2
# additional columns: `created` and `updated`. `created` is a timestamp of when the
# record created, and `updated` is the last time the record was modified.
class BookModel(UUIDAuditBase):
__tablename__ = "book"
title: Mapped[str]
author_id: Mapped[UUID] = mapped_column(ForeignKey("author.id"))
author: Mapped[AuthorModel] = relationship(lazy="joined", innerjoin=True, viewonly=True)
# we will explicitly define the schema instead of using DTO objects for clarity.
class Author(BaseModel):
id: UUID | None
name: str
dob: datetime.date | None = None
class AuthorCreate(BaseModel):
name: str
dob: datetime.date | None = None
class AuthorUpdate(BaseModel):
name: str | None = None
dob: datetime.date | None = None
class AuthorRepository(SQLAlchemyAsyncRepository[AuthorModel]):
"""Author repository."""
model_type = AuthorModel
async def provide_authors_repo(db_session: AsyncSession) -> AuthorRepository:
"""This provides the default Authors repository."""
return AuthorRepository(session=db_session)
# we can optionally override the default `select` used for the repository to pass in
# specific SQL options such as join details
async def provide_author_details_repo(db_session: AsyncSession) -> AuthorRepository:
"""This provides a simple example demonstrating how to override the join options for the repository."""
return AuthorRepository(load=[AuthorModel.books], session=db_session)
def provide_limit_offset_pagination(
current_page: int = Parameter(ge=1, query="currentPage", default=1, required=False),
page_size: int = Parameter(
query="pageSize",
ge=1,
default=10,
required=False,
),
) -> LimitOffset:
"""Add offset/limit pagination.
Return type consumed by `Repository.apply_limit_offset_pagination()`.
Parameters
----------
current_page : int
LIMIT to apply to select.
page_size : int
OFFSET to apply to select.
"""
return LimitOffset(page_size, page_size * (current_page - 1))
class AuthorController(Controller):
"""Author CRUD"""
dependencies = {"authors_repo": Provide(provide_authors_repo)}
@get(path="/authors")
async def list_authors(
self,
authors_repo: AuthorRepository,
limit_offset: LimitOffset,
) -> OffsetPagination[Author]:
"""List authors."""
results, total = await authors_repo.list_and_count(limit_offset)
type_adapter = TypeAdapter(list[Author])
return OffsetPagination[Author](
items=type_adapter.validate_python(results),
total=total,
limit=limit_offset.limit,
offset=limit_offset.offset,
)
@post(path="/authors")
async def create_author(
self,
authors_repo: AuthorRepository,
data: AuthorCreate,
) -> Author:
"""Create a new author."""
obj = await authors_repo.add(
AuthorModel(**data.model_dump(exclude_unset=True, exclude_none=True)),
)
await authors_repo.session.commit()
return Author.model_validate(obj)
# we override the authors_repo to use the version that joins the Books in
@get(path="/authors/{author_id:uuid}", dependencies={"authors_repo": Provide(provide_author_details_repo)})
async def get_author(
self,
authors_repo: AuthorRepository,
author_id: UUID = Parameter( # noqa: B008
title="Author ID",
description="The author to retrieve.",
),
) -> Author:
"""Get an existing author."""
obj = await authors_repo.get(author_id)
return Author.model_validate(obj)
@patch(
path="/authors/{author_id:uuid}",
dependencies={"authors_repo": Provide(provide_author_details_repo)},
)
async def update_author(
self,
authors_repo: AuthorRepository,
data: AuthorUpdate,
author_id: UUID = Parameter( # noqa: B008
title="Author ID",
description="The author to update.",
),
) -> Author:
"""Update an author."""
raw_obj = data.model_dump(exclude_unset=True, exclude_none=True)
raw_obj.update({"id": author_id})
obj = await authors_repo.update(AuthorModel(**raw_obj))
await authors_repo.session.commit()
return Author.model_validate(obj)
@delete(path="/authors/{author_id:uuid}")
async def delete_author(
self,
authors_repo: AuthorRepository,
author_id: UUID = Parameter( # noqa: B008
title="Author ID",
description="The author to delete.",
),
) -> None:
"""Delete a author from the system."""
_ = await authors_repo.delete(author_id)
await authors_repo.session.commit()
session_config = AsyncSessionConfig(expire_on_commit=False)
sqlalchemy_config = SQLAlchemyAsyncConfig(
connection_string="sqlite+aiosqlite:///test.sqlite",
session_config=session_config,
create_all=True,
) # Create 'db_session' dependency.
sqlalchemy_plugin = SQLAlchemyPlugin(config=sqlalchemy_config)
app = Litestar(
route_handlers=[AuthorController],
plugins=[sqlalchemy_plugin],
dependencies={"limit_offset": Provide(provide_limit_offset_pagination, sync_to_thread=False)},
)
python-advanced-alchemy-0.34.0/examples/litestar/litestar_service.py 0000664 0000000 0000000 00000015267 14763441450 0025713 0 ustar 00root root 0000000 0000000 from __future__ import annotations
import datetime # noqa: TC003
from typing import TYPE_CHECKING, Optional
from uuid import UUID # noqa: TC003
from litestar import Litestar
from litestar.controller import Controller
from litestar.di import Provide
from litestar.handlers.http_handlers.decorators import delete, get, patch, post
from litestar.params import Parameter
from pydantic import BaseModel as _BaseModel
from sqlalchemy import ForeignKey
from sqlalchemy.orm import Mapped, mapped_column, relationship
from advanced_alchemy.base import UUIDAuditBase, UUIDBase
from advanced_alchemy.extensions.litestar import (
AsyncSessionConfig,
SQLAlchemyAsyncConfig,
SQLAlchemyPlugin,
)
from advanced_alchemy.filters import FilterTypes, LimitOffset
from advanced_alchemy.repository import SQLAlchemyAsyncRepository
from advanced_alchemy.service import OffsetPagination, SQLAlchemyAsyncRepositoryService
if TYPE_CHECKING:
from collections.abc import AsyncGenerator
from sqlalchemy.ext.asyncio import AsyncSession
class BaseModel(_BaseModel):
"""Extend Pydantic's BaseModel to enable ORM mode"""
model_config = {"from_attributes": True}
# the SQLAlchemy base includes a declarative model for you to use in your models.
# The `Base` class includes a `UUID` based primary key (`id`)
class AuthorModel(UUIDBase):
# we can optionally provide the table name instead of auto-generating it
__tablename__ = "author"
name: Mapped[str]
dob: Mapped[Optional[datetime.date]] # noqa: UP007
books: Mapped[list[BookModel]] = relationship(back_populates="author", lazy="noload")
# The `AuditBase` class includes the same UUID` based primary key (`id`) and 2
# additional columns: `created` and `updated`. `created` is a timestamp of when the
# record created, and `updated` is the last time the record was modified.
class BookModel(UUIDAuditBase):
__tablename__ = "book"
title: Mapped[str]
author_id: Mapped[UUID] = mapped_column(ForeignKey("author.id"))
author: Mapped[AuthorModel] = relationship(lazy="joined", innerjoin=True, viewonly=True)
# we will explicitly define the schema instead of using DTO objects for clarity.
class Author(BaseModel):
id: UUID | None
name: str
dob: datetime.date | None = None
class AuthorCreate(BaseModel):
name: str
dob: datetime.date | None = None
class AuthorUpdate(BaseModel):
name: str | None = None
dob: datetime.date | None = None
class AuthorRepository(SQLAlchemyAsyncRepository[AuthorModel]):
"""Author repository."""
model_type = AuthorModel
class AuthorService(SQLAlchemyAsyncRepositoryService[AuthorModel, AuthorRepository]):
"""Author repository."""
repository_type = AuthorRepository
async def provide_authors_service(db_session: AsyncSession) -> AsyncGenerator[AuthorService, None]:
"""This provides the default Authors repository."""
async with AuthorService.new(
session=db_session,
) as service:
yield service
# we can optionally override the default `select` used for the repository to pass in
# specific SQL options such as join details
async def provide_author_details_service(db_session: AsyncSession) -> AsyncGenerator[AuthorService, None]:
"""This provides a simple example demonstrating how to override the join options for the repository."""
async with AuthorService.new(
session=db_session,
load=[AuthorModel.books],
) as service:
yield service
def provide_limit_offset_pagination(
current_page: int = Parameter(ge=1, query="currentPage", default=1, required=False),
page_size: int = Parameter(
query="pageSize",
ge=1,
default=10,
required=False,
),
) -> FilterTypes:
"""Add offset/limit pagination.
Parameters
----------
current_page : int
LIMIT to apply to select.
page_size : int
OFFSET to apply to select.
"""
return LimitOffset(page_size, page_size * (current_page - 1))
class AuthorController(Controller):
"""Author CRUD"""
dependencies = {"authors_service": Provide(provide_authors_service)}
@get(path="/authors")
async def list_authors(self, authors_service: AuthorService, limit_offset: LimitOffset) -> OffsetPagination[Author]:
"""List authors."""
results, total = await authors_service.list_and_count(limit_offset)
return authors_service.to_schema(results, total, filters=[limit_offset], schema_type=Author)
@post(path="/authors")
async def create_author(self, authors_service: AuthorService, data: AuthorCreate) -> Author:
"""Create a new author."""
obj = await authors_service.create(data)
return authors_service.to_schema(obj, schema_type=Author)
# we override the authors_repo to use the version that joins the Books in
@get(path="/authors/{author_id:uuid}", dependencies={"authors_service": Provide(provide_author_details_service)})
async def get_author(
self,
authors_service: AuthorService,
author_id: UUID = Parameter( # noqa: B008
title="Author ID",
description="The author to retrieve.",
),
) -> Author:
"""Get an existing author."""
obj = await authors_service.get(author_id)
return authors_service.to_schema(obj, schema_type=Author)
@patch(
path="/authors/{author_id:uuid}",
dependencies={"authors_service": Provide(provide_author_details_service)},
)
async def update_author(
self,
authors_service: AuthorService,
data: AuthorUpdate,
author_id: UUID = Parameter( # noqa: B008
title="Author ID",
description="The author to update.",
),
) -> Author:
"""Update an author."""
obj = await authors_service.update(data, item_id=author_id, auto_commit=True)
return authors_service.to_schema(obj, schema_type=Author)
@delete(path="/authors/{author_id:uuid}")
async def delete_author(
self,
authors_service: AuthorService,
author_id: UUID = Parameter( # noqa: B008
title="Author ID",
description="The author to delete.",
),
) -> None:
"""Delete a author from the system."""
_ = await authors_service.delete(author_id)
session_config = AsyncSessionConfig(expire_on_commit=False)
sqlalchemy_config = SQLAlchemyAsyncConfig(
connection_string="sqlite+aiosqlite:///test.sqlite",
before_send_handler="autocommit",
session_config=session_config,
create_all=True,
)
alchemy = SQLAlchemyPlugin(config=sqlalchemy_config)
app = Litestar(
route_handlers=[AuthorController],
plugins=[alchemy],
dependencies={"limit_offset": Provide(provide_limit_offset_pagination, sync_to_thread=False)},
)
python-advanced-alchemy-0.34.0/examples/sanic.py 0000664 0000000 0000000 00000006207 14763441450 0021604 0 ustar 00root root 0000000 0000000 from __future__ import annotations
import datetime # noqa: TC003
from uuid import UUID # noqa: TC003
from sanic import Sanic
from sqlalchemy import ForeignKey
from sqlalchemy.ext.asyncio import AsyncSession
from sqlalchemy.orm import Mapped, mapped_column, relationship
from advanced_alchemy.extensions.sanic import (
AdvancedAlchemy,
AsyncSessionConfig,
SQLAlchemyAsyncConfig,
base,
filters,
repository,
service,
)
# the SQLAlchemy base includes a declarative model for you to use in your models.
# The `Base` class includes a `UUID` based primary key (`id`)
class AuthorModel(base.UUIDBase):
# we can optionally provide the table name instead of auto-generating it
__tablename__ = "author"
name: Mapped[str]
dob: Mapped[datetime.date | None]
books: Mapped[list[BookModel]] = relationship(back_populates="author", lazy="noload")
# The `AuditBase` class includes the same UUID` based primary key (`id`) and 2
# additional columns: `created` and `updated`. `created` is a timestamp of when the
# record created, and `updated` is the last time the record was modified.
class BookModel(base.UUIDAuditBase):
__tablename__ = "book"
title: Mapped[str]
author_id: Mapped[UUID] = mapped_column(ForeignKey("author.id"))
author: Mapped[AuthorModel] = relationship(lazy="joined", innerjoin=True, viewonly=True)
class AuthorService(service.SQLAlchemyAsyncRepositoryService[AuthorModel]):
"""Author service."""
class Repo(repository.SQLAlchemyAsyncRepository[AuthorModel]):
"""Author repository."""
model_type = AuthorModel
repository_type = Repo
# #######################
# Dependencies
# #######################
async def provide_authors_service(db_session: AsyncSession) -> AuthorService:
"""This provides the default Authors repository."""
return AuthorService(session=db_session)
# we can optionally override the default `select` used for the repository to pass in
# specific SQL options such as join details
async def provide_author_details_service(
db_session: AsyncSession,
) -> AuthorService:
"""This provides a simple example demonstrating how to override the join options for the repository."""
return AuthorService(load=[AuthorModel.books], session=db_session)
def provide_limit_offset_pagination(
current_page: int = 1,
page_size: int = 10,
) -> filters.LimitOffset:
"""Add offset/limit pagination.
Return type consumed by `Repository.apply_limit_offset_pagination()`.
Parameters
----------
current_page : int
LIMIT to apply to select.
page_size : int
OFFSET to apply to select.
"""
return filters.LimitOffset(page_size, page_size * (current_page - 1))
# #######################
# Application
# #######################
session_config = AsyncSessionConfig(expire_on_commit=False)
sqlalchemy_config = SQLAlchemyAsyncConfig(
connection_string="sqlite+aiosqlite:///test.sqlite",
session_config=session_config,
) # Create 'db_session' dependency.
app = Sanic("AlchemySanicApp")
alchemy = AdvancedAlchemy(sqlalchemy_config=sqlalchemy_config)
alchemy.register(app)
alchemy.add_session_dependency(AsyncSession)
python-advanced-alchemy-0.34.0/examples/standalone.py 0000664 0000000 0000000 00000004331 14763441450 0022633 0 ustar 00root root 0000000 0000000 from __future__ import annotations
import pprint
from pathlib import Path
from typing import TYPE_CHECKING
from sqlalchemy import create_engine
from advanced_alchemy.base import UUIDBase
from advanced_alchemy.config import SQLAlchemySyncConfig, SyncSessionConfig
from advanced_alchemy.filters import LimitOffset
from advanced_alchemy.repository import SQLAlchemySyncRepository
from advanced_alchemy.utils.fixtures import open_fixture
if TYPE_CHECKING:
from sqlalchemy.orm import Mapped
here = Path(__file__).parent
config = SQLAlchemySyncConfig(
engine_instance=create_engine("duckdb:///:memory:"), session_config=SyncSessionConfig(expire_on_commit=False)
)
class USState(UUIDBase):
# you can optionally override the generated table name by manually setting it.
__tablename__ = "us_state_lookup"
abbreviation: Mapped[str]
name: Mapped[str]
class USStateRepository(SQLAlchemySyncRepository[USState]):
"""US State repository."""
model_type = USState
def run_script() -> None:
"""Load data from a fixture."""
# Initializes the database.
with config.get_engine().begin() as conn:
USState.metadata.create_all(conn)
with config.get_session() as db_session:
# 1) Load the JSON data into the US States table.
repo = USStateRepository(session=db_session)
fixture = open_fixture(here, USStateRepository.model_type.__tablename__)
objs = repo.add_many([USStateRepository.model_type(**raw_obj) for raw_obj in fixture])
db_session.commit()
pprint.pp(f"Created {len(objs)} new objects.")
# 2) Select paginated data and total row count.
created_objs, total_objs = repo.list_and_count(LimitOffset(limit=10, offset=0))
pprint.pp(f"Selected {len(created_objs)} records out of a total of {total_objs}.")
# 3) Let's remove the batch of records selected.
deleted_objs = repo.delete_many([new_obj.id for new_obj in created_objs])
pprint.pp(f"Removed {len(deleted_objs)} records out of a total of {total_objs}.")
# 4) Let's count the remaining rows
remaining_count = repo.count()
pprint.pp(f"Found {remaining_count} remaining records after delete.")
if __name__ == "__main__":
run_script()
python-advanced-alchemy-0.34.0/examples/standalone_json.py 0000664 0000000 0000000 00000004373 14763441450 0023672 0 ustar 00root root 0000000 0000000 # ruff: noqa: PLR2004, S101
from __future__ import annotations
import asyncio
from typing import TYPE_CHECKING, Any
from sqlalchemy.ext.asyncio import create_async_engine
from advanced_alchemy.base import UUIDBase
from advanced_alchemy.config import AsyncSessionConfig, SQLAlchemyAsyncConfig
from advanced_alchemy.repository import SQLAlchemyAsyncRepository
if TYPE_CHECKING:
from sqlalchemy.orm import Mapped
class Item(UUIDBase):
name: Mapped[str]
# using ``Mapped[dict]`` with an AA provided base will map it to ``JSONB``
data: Mapped[dict[str, Any]]
class ItemRepository(SQLAlchemyAsyncRepository[Item]):
"""Item repository."""
model_type = Item
config = SQLAlchemyAsyncConfig(
engine_instance=create_async_engine("postgresql+psycopg://app:super-secret@localhost:5432/app"),
session_config=AsyncSessionConfig(expire_on_commit=False),
)
async def run_script() -> None:
# Initializes the database.
async with config.get_engine().begin() as conn:
await conn.run_sync(Item.metadata.create_all)
async with config.get_session() as db_session:
repo = ItemRepository(session=db_session)
# Add some data
await repo.add_many(
[
Item(
name="Smartphone",
data={"price": 599.99, "brand": "XYZ"},
),
Item(
name="Laptop",
data={"price": 1299.99, "brand": "ABC"},
),
Item(
name="Headphones",
data={"not_price": 149.99, "brand": "DEF"},
),
],
auto_commit=True,
)
async with config.get_session() as db_session:
repo = ItemRepository(session=db_session)
# Do some queries with JSON operations
assert await repo.exists(Item.data["price"].as_float() == 599.99, Item.data["brand"].as_string() == "XYZ")
assert await repo.count(Item.data.op("?")("price")) == 2
products, total_products = await repo.list_and_count(Item.data.op("?")("not_price"))
assert len(products) == 1
assert total_products == 1
assert products[0].name == "Headphones"
if __name__ == "__main__":
asyncio.run(run_script())
python-advanced-alchemy-0.34.0/examples/us_state_lookup.json 0000664 0000000 0000000 00000006135 14763441450 0024250 0 ustar 00root root 0000000 0000000 [
{
"name": "Alabama",
"abbreviation": "AL"
},
{
"name": "Alaska",
"abbreviation": "AK"
},
{
"name": "Arizona",
"abbreviation": "AZ"
},
{
"name": "Arkansas",
"abbreviation": "AR"
},
{
"name": "California",
"abbreviation": "CA"
},
{
"name": "Colorado",
"abbreviation": "CO"
},
{
"name": "Connecticut",
"abbreviation": "CT"
},
{
"name": "Delaware",
"abbreviation": "DE"
},
{
"name": "District Of Columbia",
"abbreviation": "DC"
},
{
"name": "Florida",
"abbreviation": "FL"
},
{
"name": "Georgia",
"abbreviation": "GA"
},
{
"name": "Guam",
"abbreviation": "GU"
},
{
"name": "Hawaii",
"abbreviation": "HI"
},
{
"name": "Idaho",
"abbreviation": "ID"
},
{
"name": "Illinois",
"abbreviation": "IL"
},
{
"name": "Indiana",
"abbreviation": "IN"
},
{
"name": "Iowa",
"abbreviation": "IA"
},
{
"name": "Kansas",
"abbreviation": "KS"
},
{
"name": "Kentucky",
"abbreviation": "KY"
},
{
"name": "Louisiana",
"abbreviation": "LA"
},
{
"name": "Maine",
"abbreviation": "ME"
},
{
"name": "Maryland",
"abbreviation": "MD"
},
{
"name": "Massachusetts",
"abbreviation": "MA"
},
{
"name": "Michigan",
"abbreviation": "MI"
},
{
"name": "Minnesota",
"abbreviation": "MN"
},
{
"name": "Mississippi",
"abbreviation": "MS"
},
{
"name": "Missouri",
"abbreviation": "MO"
},
{
"name": "Montana",
"abbreviation": "MT"
},
{
"name": "Nebraska",
"abbreviation": "NE"
},
{
"name": "Nevada",
"abbreviation": "NV"
},
{
"name": "New Hampshire",
"abbreviation": "NH"
},
{
"name": "New Jersey",
"abbreviation": "NJ"
},
{
"name": "New Mexico",
"abbreviation": "NM"
},
{
"name": "New York",
"abbreviation": "NY"
},
{
"name": "North Carolina",
"abbreviation": "NC"
},
{
"name": "North Dakota",
"abbreviation": "ND"
},
{
"name": "Ohio",
"abbreviation": "OH"
},
{
"name": "Oklahoma",
"abbreviation": "OK"
},
{
"name": "Oregon",
"abbreviation": "OR"
},
{
"name": "Palau",
"abbreviation": "PW"
},
{
"name": "Pennsylvania",
"abbreviation": "PA"
},
{
"name": "Puerto Rico",
"abbreviation": "PR"
},
{
"name": "Rhode Island",
"abbreviation": "RI"
},
{
"name": "South Carolina",
"abbreviation": "SC"
},
{
"name": "South Dakota",
"abbreviation": "SD"
},
{
"name": "Tennessee",
"abbreviation": "TN"
},
{
"name": "Texas",
"abbreviation": "TX"
},
{
"name": "Utah",
"abbreviation": "UT"
},
{
"name": "Vermont",
"abbreviation": "VT"
},
{
"name": "Virginia",
"abbreviation": "VA"
},
{
"name": "Washington",
"abbreviation": "WA"
},
{
"name": "West Virginia",
"abbreviation": "WV"
},
{
"name": "Wisconsin",
"abbreviation": "WI"
},
{
"name": "Wyoming",
"abbreviation": "WY"
}
]
python-advanced-alchemy-0.34.0/pyproject.toml 0000664 0000000 0000000 00000043072 14763441450 0021234 0 ustar 00root root 0000000 0000000 [project]
authors = [
{ name = "Cody Fincher", email = "cody.fincher@gmail.com" },
{ name = "Peter Schutt", email = "peter.github@proton.me" },
{ name = "Janek Nouvertnรฉ", email = "j.a.nouvertne@posteo.de" },
{ name = "Jacob Coffee", email = "jacob@z7x.org" },
]
classifiers = [
"Development Status :: 3 - Alpha",
"Environment :: Web Environment",
"License :: OSI Approved :: MIT License",
"Natural Language :: English",
"Operating System :: OS Independent",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Programming Language :: Python :: 3.13",
"Programming Language :: Python",
"Topic :: Software Development",
"Typing :: Typed",
"Intended Audience :: Developers",
"Intended Audience :: System Administrators",
"Topic :: Database",
"Topic :: Database :: Database Engines/Servers",
]
dependencies = [
"sqlalchemy>=2.0.20",
"alembic>=1.12.0",
"typing-extensions>=4.0.0",
"greenlet",
"eval-type-backport ; python_full_version < '3.10'",
]
description = "Ready-to-go SQLAlchemy concoctions."
keywords = ["sqlalchemy", "alembic", "litestar", "sanic", "fastapi", "flask"]
license = { text = "MIT" }
maintainers = [
{ name = "Litestar Developers", email = "hello@litestar.dev" },
{ name = "Cody Fincher", email = "cody@litestar.dev" },
{ name = "Jacob Coffee", email = "jacob@litestar.dev" },
{ name = "Janek Nouvertnรฉ", email = "janek@litestar.dev" },
{ name = "Julien Courtes", email = "julien@litestar.dev" },
]
name = "advanced_alchemy"
readme = "README.md"
requires-python = ">=3.9"
version = "0.34.0"
[project.urls]
Changelog = "https://docs.advanced-alchemy.litestar.dev/latest/changelog"
Discord = "https://discord.gg/litestar"
Documentation = "https://docs.advanced-alchemy.litestar.dev/latest/"
Funding = "https://github.com/sponsors/litestar-org"
Homepage = "https://docs.advanced-alchemy.litestar.dev/latest/"
Issue = "https://github.com/litestar-org/advanced-alchemy/issues/"
Source = "https://github.com/litestar-org/advanced-alchemy"
[project.optional-dependencies]
cli = ["rich-click"]
nanoid = ["fastnanoid>=0.4.1"]
uuid = ["uuid-utils>=0.6.1"]
[project.scripts]
alchemy = "advanced_alchemy.__main__:run_cli"
[dependency-groups]
build = ["bump-my-version"]
cockroachdb = [
"asyncpg>=0.29.0",
"psycopg2-binary>=2.9.10",
"psycopg[binary,pool]>=3.2.3",
"sqlalchemy-cockroachdb>=2.0.2",
]
dev = [
{ include-group = "build" },
{ include-group = "lint" },
{ include-group = "doc" },
{ include-group = "test" },
{ include-group = "litestar" },
{ include-group = "fastapi" },
{ include-group = "flask" },
{ include-group = "sanic" },
{ include-group = "sqlite" },
{ include-group = "oracle" },
{ include-group = "duckdb" },
{ include-group = "mssql" },
{ include-group = "mysql" },
{ include-group = "spanner" },
{ include-group = "cockroachdb" },
{ include-group = "postgres" },
]
doc = [
"auto-pytabs[sphinx]>=0.5.0",
"git-cliff>=2.6.1",
"shibuya",
"sphinx>=7.0.0; python_version <= \"3.9\"",
"sphinx>=8.0.0; python_version >= \"3.10\"",
"sphinx-autobuild>=2021.3.14",
"sphinx-copybutton>=0.5.2",
"sphinx-click>=6.0.0",
"sphinx-design>=0.5.0",
"sphinxcontrib-mermaid>=0.9.2",
"sphinx-paramlinks>=0.6.0",
"sphinx-togglebutton>=0.3.2",
"sphinx-toolbox>=3.8.1",
"myst-parser",
"sphinx-autodoc-typehints",
]
duckdb = ["duckdb>=1.1.2", "duckdb-engine>=0.13.4", "pytz>=2024.2"]
fastapi = ["fastapi[all]>=0.115.3", "starlette"]
flask = ["flask-sqlalchemy>=3.1.1", "flask[async]"]
lint = [
"mypy>=1.13.0",
"pre-commit>=3.5.0",
"pyright>=1.1.386",
"ruff>=0.7.1",
"slotscheck>=0.16.5",
"asyncpg-stubs",
"types-Pillow",
"types-PyMySQL",
"types-PyYAML",
"types-Pygments",
"types-aiofiles",
"types-colorama",
"types-docutils",
"types-psycopg2",
"types-python-dateutil",
"types-pytz",
"types-ujson",
]
litestar = ["litestar[cli]>=2.15.0"]
mssql = ["aioodbc>=0.5.0", "pyodbc>=5.2.0"]
mysql = ["asyncmy>=0.2.9"]
oracle = ["oracledb>=2.4.1"]
postgres = ["asyncpg>=0.29.0", "psycopg2-binary>=2.9.10", "psycopg[binary,pool]>=3.2.3"]
sanic = ["sanic", "sanic-testing>=24.6.0", "sanic[ext]>=24.6.0"]
spanner = ["sqlalchemy-spanner>=1.7.0"]
sqlite = ["aiosqlite>=0.20.0"]
test = [
"pydantic-extra-types",
"rich-click",
"coverage>=7.6.1",
"pytest>=7.4.4",
"pytest-asyncio>=0.23.8",
"pytest-cov>=5.0.0",
"pytest-databases",
"pytest-lazy-fixtures>=1.1.1",
"pytest-rerunfailures",
"pytest-mock>=3.14.0",
"pytest-sugar>=1.0.0",
"pytest-xdist>=3.6.1",
"pytest-click",
"asgi-lifespan",
"click",
"time-machine>=2.15.0",
]
[tool.bumpversion]
allow_dirty = true
commit = false
commit_args = "--no-verify"
current_version = "0.34.0"
ignore_missing_files = false
ignore_missing_version = false
message = "chore(release): bump to v{new_version}"
parse = "(?P\\d+)\\.(?P\\d+)\\.(?P\\d+)"
regex = false
replace = "{new_version}"
search = "{current_version}"
serialize = ["{major}.{minor}.{patch}"]
sign_tags = false
tag = false
tag_message = "chore(release): v{new_version}"
tag_name = "v{new_version}"
[[tool.bumpversion.files]]
filename = "pyproject.toml"
replace = 'version = "{new_version}"'
search = 'version = "{current_version}"'
[[tool.bumpversion.files]]
filename = "uv.lock"
replace = """
name = "advanced-alchemy"
version = "{new_version}"
"""
search = """
name = "advanced-alchemy"
version = "{current_version}"
"""
[build-system]
build-backend = "hatchling.build"
requires = ["hatchling"]
[tool.hatch.build.targets.wheel]
packages = [
"advanced_alchemy",
"advanced_alchemy.extensions.litestar",
"advanced_alchemy.extensions.sanic",
"advanced_alchemy.extensions.starlette",
]
[tool.pytest.ini_options]
addopts = ["-q", "-ra"]
asyncio_default_fixture_loop_scope = "function"
asyncio_mode = "auto"
filterwarnings = [
"ignore::DeprecationWarning:pkg_resources.*",
"ignore:pkg_resources is deprecated as an API:DeprecationWarning",
"ignore::DeprecationWarning:pkg_resources",
"ignore::DeprecationWarning:google.rpc",
"ignore::DeprecationWarning:google.gcloud",
"ignore::DeprecationWarning:google.iam",
"ignore::DeprecationWarning:google",
"ignore::DeprecationWarning:websockets.connection",
"ignore::DeprecationWarning:websockets.legacy",
]
markers = [
"integration: SQLAlchemy integration tests",
"asyncmy: SQLAlchemy MySQL (asyncmy) Tests",
"asyncpg: SQLAlchemy Postgres (asyncpg) Tests",
"psycopg_async: SQLAlchemy Postgres (psycopg async) Tests",
"psycopg_sync: SQLAlchemy Postgres (psycopg sync) Tests",
"aiosqlite: SQLAlchemy SQLite (aiosqlite) Tests",
"sqlite: SQLAlchemy SQLite (sqlite) Tests",
"oracledb_sync: SQLAlchemy Oracle (oracledb sync) Tests",
"oracledb_async: SQLAlchemy Oracle (oracledb async) Tests",
"spanner: SQLAlchemy Google Cloud Spanner (sqlalchemy-spanner) Tests",
"duckdb: SQLAlchemy DuckDB (duckdb-engine) Tests",
"mssql_sync: SQLAlchemy Microsoft SQL Server (pyodbc) Tests",
"mssql_async: SQLAlchemy Microsoft SQL Server (aioodbc) Tests",
"mock_async: SQLAlchemy async mock Tests",
"mock_sync: SQLAlchemy sync mock Tests",
"cockroachdb_sync: SQLAlchemy CockroachDB (psycopg2) Tests",
"cockroachdb_async: SQLAlchemy CockroachDB (asyncpg) Tests",
]
testpaths = ["tests"]
[tool.coverage.run]
branch = true
concurrency = ["multiprocessing"]
omit = [
"*/tests/*",
"advanced_alchemy/alembic/templates/asyncio/env.py",
"advanced_alchemy/alembic/templates/sync/env.py",
"advanced_alchemy/extensions/litestar/cli.py",
"advanced_alchemy/alembic/commands.py",
"advanced_alchemy/types.py",
"advanced_alchemy/operations.py",
"advanced_alchemy/service/*",
]
parallel = true
relative_files = true
[tool.coverage.report]
exclude_lines = [
'pragma: no cover',
'if TYPE_CHECKING:',
'except ImportError as e:',
'except ImportError:',
'\.\.\.',
'raise NotImplementedError',
'if VERSION.startswith("1"):',
'if pydantic.VERSION.startswith("1"):',
]
[tool.black]
line-length = 120
[tool.ruff]
exclude = [".venv", "node_modules"]
line-length = 120
src = ["advanced_alchemy", "tests", "docs", "tools"]
target-version = "py39"
[tool.ruff.format]
docstring-code-format = true
docstring-code-line-length = 60
[tool.ruff.lint]
extend-safe-fixes = ["TC"]
fixable = ["ALL"]
ignore = [
"A003", # flake8-builtins - class attribute {name} is shadowing a python builtin
"A005", # flake8-builtins - module {name} shadows a Python standard-library module
"B010", # flake8-bugbear - do not call setattr with a constant attribute value
"D100", # pydocstyle - missing docstring in public module
"D101", # pydocstyle - missing docstring in public class
"D102", # pydocstyle - missing docstring in public method
"D103", # pydocstyle - missing docstring in public function
"D104", # pydocstyle - missing docstring in public package
"D105", # pydocstyle - missing docstring in magic method
"D106", # pydocstyle - missing docstring in public nested class
"D107", # pydocstyle - missing docstring in __init__
"D202", # pydocstyle - no blank lines allowed after function docstring
"D205", # pydocstyle - 1 blank line required between summary line and description
"D415", # pydocstyle - first line should end with a period, question mark, or exclamation point
"E501", # pydocstyle line too long, handled by black
"PLW2901", # pylint - for loop variable overwritten by assignment target
"RUF012", # Ruff-specific rule - annotated with classvar
"ANN401",
"FBT",
"PLR0913", # too many arguments
"PT",
"TD",
"ARG002", # ignore for now; investigate
"ARG003", # ignore for now; investigate
"PERF203", # ignore for now; investigate
"PD011", # pandas
"PLR0912",
"ISC001",
"COM812",
"CPY001",
"FA100",
]
select = ["ALL"]
[tool.ruff.lint.pydocstyle]
convention = "google"
[tool.ruff.lint.pyupgrade]
# Preserve types, even if a file imports `from __future__ import annotations`.
# keep-runtime-typing = true
[tool.ruff.lint.mccabe]
max-complexity = 14
[tool.ruff.lint.pep8-naming]
classmethod-decorators = [
"sqlalchemy.ext.declarative.declared_attr",
"sqlalchemy.orm.declared_attr.directive",
"sqlalchemy.orm.declared_attr",
]
[tool.ruff.lint.per-file-ignores]
"advanced_alchemy/repository/*.py" = ['C901']
"examples/flask.py" = ["ANN"]
"examples/flask/*.py" = ["ANN"]
"tests/**/*.*" = [
"A",
"ARG",
"B",
"BLE",
"C901",
"D",
"DTZ",
"EM",
"FBT",
"G",
"N",
"PGH",
"PIE",
"PLR",
"PLW",
"PTH",
"RSE",
"S",
"S101",
"SIM",
"TC",
"TRY",
"SLF001",
]
[tool.ruff.lint.flake8-tidy-imports]
# Disallow all relative imports.
ban-relative-imports = "all"
[tool.ruff.lint.isort]
known-first-party = ["advanced_alchemy", "tests"]
[tool.slotscheck]
exclude-modules = '''
(
(^|\.)test_
|^tests\.*
|^tools\.*
|^docs\.*
|^examples\.*
|^sqlalchemy\.(
testing
|ext\.mypy # see slotscheck/issues/178
)
|^alembic\.testing\.suite.* # Add this line to exclude Alembic test suite
)
'''
include-modules = "advanced_alchemy.*"
require-superclass = false
strict-imports = true
[tool.mypy]
disallow_any_generics = false
disallow_untyped_decorators = true
implicit_reexport = false
packages = ["advanced_alchemy", "tests", "docs", "examples"]
python_version = "3.9"
show_error_codes = true
strict = true
warn_redundant_casts = true
warn_return_any = true
warn_unreachable = true
warn_unused_configs = true
warn_unused_ignores = true
[[tool.mypy.overrides]]
disable_error_code = "attr-defined,type-var,union-attr"
disallow_untyped_decorators = false
module = "tests.*"
warn_unused_ignores = false
[[tool.mypy.overrides]]
ignore_missing_imports = true
module = [
"asyncmy",
"pyodbc",
"greenlet",
"google.auth.*",
"google.cloud.*",
"google.protobuf.*",
"pyarrow.*",
"pytest_docker.*",
"googleapiclient",
"googleapiclient.*",
"uuid_utils",
"uuid_utils.*",
]
[[tool.mypy.overrides]]
module = "advanced_alchemy._serialization"
warn_unused_ignores = false
[[tool.mypy.overrides]]
disallow_untyped_decorators = false
module = "advanced_alchemy.extensions.litestar.cli"
[[tool.mypy.overrides]]
disallow_untyped_decorators = false
module = "advanced_alchemy.types.json"
[[tool.mypy.overrides]]
module = "advanced_alchemy.service.typing"
warn_unused_ignores = false
[[tool.mypy.overrides]]
module = "advanced_alchemy.alembic.templates.*.env"
warn_unreachable = false
[[tool.mypy.overrides]]
disable_error_code = "no-untyped-call"
disallow_untyped_decorators = false
module = "advanced_alchemy.extensions.sanic"
warn_unused_ignores = false
[[tool.mypy.overrides]]
module = "advanced_alchemy.base"
warn_unused_ignores = false
[[tool.mypy.overrides]]
disallow_untyped_decorators = false
module = "advanced_alchemy.extensions.litestar.cli"
[[tool.mypy.overrides]]
disable_error_code = "arg-type,no-any-return,no-untyped-def"
disallow_untyped_decorators = false
disallow_untyped_defs = false
module = "examples.flask.*"
[[tool.mypy.overrides]]
disable_error_code = "unreachable"
module = "tests.integration.test_repository"
[tool.pyright]
disableBytesTypePromotions = true
exclude = [
"docs",
"tests/unit/test_extensions",
"tests/unit/test_repository.py",
"tests/helpers.py",
"tests/docker_service_fixtures.py",
"examples/flask/flask_services.py",
]
include = ["advanced_alchemy"]
pythonVersion = "3.9"
reportUnnecessaryTypeIgnoreComments = true
reportUnusedFunction = false
strict = ["advanced_alchemy/**/*"]
venv = ".venv"
venvPath = "."
[tool.unasyncd]
add_editors_note = true
cache = true
ruff_fix = true
ruff_format = true
update_docstrings = true
[tool.unasyncd.files]
"advanced_alchemy/repository/_async.py" = "advanced_alchemy/repository/_sync.py"
"advanced_alchemy/repository/memory/_async.py" = "advanced_alchemy/repository/memory/_sync.py"
"advanced_alchemy/service/_async.py" = "advanced_alchemy/service/_sync.py"
[tool.unasyncd.per_file_add_replacements."advanced_alchemy/repository/_async.py"]
SQLAlchemyAsyncMockRepository = "SQLAlchemySyncMockRepository"
"SQLAlchemyAsyncQueryRepository" = "SQLAlchemySyncQueryRepository"
SQLAlchemyAsyncRepository = "SQLAlchemySyncRepository"
SQLAlchemyAsyncRepositoryProtocol = "SQLAlchemySyncRepositoryProtocol"
"SQLAlchemyAsyncSlugRepository" = "SQLAlchemySyncSlugRepository"
SQLAlchemyAsyncSlugRepositoryProtocol = "SQLAlchemySyncSlugRepositoryProtocol"
"async_scoped_session" = "scoped_session"
"sqlalchemy.ext.asyncio.AsyncSession" = "sqlalchemy.orm.Session"
"sqlalchemy.ext.asyncio.scoping.async_scoped_session" = "sqlalchemy.orm.scoping.scoped_session"
[tool.unasyncd.per_file_add_replacements."advanced_alchemy/repository/memory/_async.py"]
SQLAlchemyAsyncMockRepository = "SQLAlchemySyncMockRepository"
"SQLAlchemyAsyncMockSlugRepository" = "SQLAlchemySyncMockSlugRepository"
SQLAlchemyAsyncRepository = "SQLAlchemySyncRepository"
SQLAlchemyAsyncRepositoryProtocol = "SQLAlchemySyncRepositoryProtocol"
"SQLAlchemyAsyncSlugRepository" = "SQLAlchemySyncSlugRepository"
SQLAlchemyAsyncSlugRepositoryProtocol = "SQLAlchemySyncSlugRepositoryProtocol"
"advanced_alchemy.repository._async.SQLAlchemyAsyncRepositoryProtocol" = "advanced_alchemy.repository._sync.SQLAlchemySyncRepositoryProtocol"
"advanced_alchemy.repository._async.SQLAlchemyAsyncSlugRepositoryProtocol" = "advanced_alchemy.repository._sync.SQLAlchemySyncSlugRepositoryProtocol"
"async_scoped_session" = "scoped_session"
"sqlalchemy.ext.asyncio.AsyncEngine" = "sqlalchemy.Engine"
"sqlalchemy.ext.asyncio.AsyncSession" = "sqlalchemy.orm.Session"
"sqlalchemy.ext.asyncio.scoping.async_scoped_session" = "sqlalchemy.orm.scoping.scoped_session"
[tool.unasyncd.per_file_add_replacements."advanced_alchemy/service/_async.py"]
"AsyncIterator" = "Iterator"
"SQLAlchemyAsyncConfigT" = "SQLAlchemySyncConfigT"
SQLAlchemyAsyncMockRepository = "SQLAlchemySyncMockRepository"
SQLAlchemyAsyncMockSlugRepository = "SQLAlchemySyncMockSlugRepository"
SQLAlchemyAsyncQueryService = "SQLAlchemySyncQueryService"
SQLAlchemyAsyncRepository = "SQLAlchemySyncRepository"
SQLAlchemyAsyncRepositoryReadService = "SQLAlchemySyncRepositoryReadService"
SQLAlchemyAsyncRepositoryService = "SQLAlchemySyncRepositoryService"
"SQLAlchemyAsyncRepositoryT" = "SQLAlchemySyncRepositoryT"
SQLAlchemyAsyncSlugRepository = "SQLAlchemySyncSlugRepository"
"advanced_alchemy.config.asyncio.SQLAlchemyAsyncConfig" = "advanced_alchemy.config.sync.SQLAlchemySyncConfig"
"advanced_alchemy.repository.SQLAlchemyAsyncQueryRepository" = "advanced_alchemy.repository.SQLAlchemySyncQueryRepository"
"advanced_alchemy.repository.SQLAlchemyAsyncRepository" = "advanced_alchemy.repository.SQLAlchemySyncRepository"
"advanced_alchemy.repository.SQLAlchemyAsyncRepositoryProtocol" = "advanced_alchemy.repository.SQLAlchemySyncRepositoryProtocol"
"advanced_alchemy.repository.SQLAlchemyAsyncSlugRepository" = "advanced_alchemy.repository.SQLAlchemySyncSlugRepository"
"advanced_alchemy.repository.SQLAlchemyAsyncSlugRepositoryProtocol" = "advanced_alchemy.repository.SQLAlchemySyncSlugRepositoryProtocol"
"advanced_alchemy.repository.memory.SQLAlchemyAsyncMockRepository" = "advanced_alchemy.repository.memory.SQLAlchemySyncMockRepository"
"advanced_alchemy.repository.memory.SQLAlchemyAsyncMockSlugRepository" = "advanced_alchemy.repository.memory.SQLAlchemySyncMockSlugRepository"
"advanced_alchemy.repository.typing.SQLAlchemyAsyncRepositoryT" = "advanced_alchemy.repository.typing.SQLAlchemySyncRepositoryT"
"async_scoped_session" = "scoped_session"
"collections.abc.AsyncIterator" = "collections.abc.Iterator"
"sqlalchemy.ext.asyncio.AsyncSession" = "sqlalchemy.orm.Session"
"sqlalchemy.ext.asyncio.scoping.async_scoped_session" = "sqlalchemy.orm.scoping.scoped_session"
[tool.codespell]
ignore-words-list = "selectin"
skip = 'pdm.lock, uv.lock, examples/us_state_lookup.json, docs/_static/favicon.svg'
python-advanced-alchemy-0.34.0/sonar-project.properties 0000664 0000000 0000000 00000003154 14763441450 0023221 0 ustar 00root root 0000000 0000000 sonar.organization=litestar-api
sonar.projectKey=litestar-org_advanced-alchemy
sonar.python.coverage.reportPaths=coverage.xml
sonar.python.version=3.9, 3.10, 3.11, 3.12, 3.13
sonar.sourceEncoding=UTF-8
sonar.sources=advanced_alchemy
sonar.tests=tests
sonar.coverage.exclusions=\
examples/*.py, \
tests/*.py, \
tests/**/*.py, \
advanced_alchemy/cli.py, \
advanced_alchemy/extensions/litestar/cli.py, \
advanced_alchemy/filters.py, \
advanced_alchemy/service/typing.py, \
advanced_alchemy/service/_typing.py, \
advanced_alchemy/service/_util.py, \
advanced_alchemy/alembic/templates/asyncio/env.py, \
advanced_alchemy/alembic/templates/sync/env.py, \
tests/integration/conftest.py, \
advanced_alchemy/service/_sync.py, \
advanced_alchemy/service/_async.py, \
advanced_alchemy/service/pagination.py, \
advanced_alchemy/extensions/litestar/plugins/init/config/*.py, \
advanced_alchemy/extensions/sanic/config.py, \
advanced_alchemy/extensions/sanic/extension.py
sonar.cpd.exclusions=\
advanced_alchemy/repository/memory/_sync.py, \
advanced_alchemy/repository/memory/_async.py, \
advanced_alchemy/filters.py, \
advanced_alchemy/repository/_sync.py, \
advanced_alchemy/repository/_async.py, \
advanced_alchemy/service/_sync.py, \
advanced_alchemy/service/_async.py, \
advanced_alchemy/alembic/templates/sync/env.py, \
examples/*.py, \
examples/fastapi.py, \
tests/integration/conftest.py, \
advanced_alchemy/extensions/litestar/plugins/init/config/*.py, \
advanced_alchemy/extensions/sanic/config.py, \
advanced_alchemy/extensions/sanic/extension.py
sonar.projectName=Advanced Alchemy
python-advanced-alchemy-0.34.0/tests/ 0000775 0000000 0000000 00000000000 14763441450 0017454 5 ustar 00root root 0000000 0000000 python-advanced-alchemy-0.34.0/tests/__init__.py 0000664 0000000 0000000 00000000000 14763441450 0021553 0 ustar 00root root 0000000 0000000 python-advanced-alchemy-0.34.0/tests/conftest.py 0000664 0000000 0000000 00000000063 14763441450 0021652 0 ustar 00root root 0000000 0000000 pytest_plugins = ["tests.docker_service_fixtures"]
python-advanced-alchemy-0.34.0/tests/docker-compose.yml 0000664 0000000 0000000 00000004677 14763441450 0023127 0 ustar 00root root 0000000 0000000 services:
postgres:
image: docker.io/postgres:latest
ports:
- "5423:5432" # use a non-standard port here
environment:
POSTGRES_PASSWORD: super-secret
postgres14:
image: docker.io/postgres:14
ports:
- "5424:5432" # use a non-standard port here
environment:
POSTGRES_PASSWORD: super-secret
mysql:
image: docker.io/mysql:latest
ports:
- "3360:3306" # use a non-standard port here
environment:
MYSQL_ROOT_PASSWORD: super-secret
MYSQL_PASSWORD: super-secret
MYSQL_USER: app
MYSQL_DATABASE: db
MYSQL_ROOT_HOST: "%"
LANG: C.UTF-8
oracle18c:
image: docker.io/gvenzl/oracle-xe:18-slim-faststart
ports:
- "1512:1521" # use a non-standard port here
environment:
ORACLE_PASSWORD: super-secret
APP_USER_PASSWORD: super-secret
APP_USER: app
oracle23c:
image: docker.io/gvenzl/oracle-free:23-slim-faststart
ports:
- "1513:1521" # use a non-standard port here
environment:
ORACLE_PASSWORD: super-secret
APP_USER_PASSWORD: super-secret
APP_USER: app
spanner:
image: gcr.io/cloud-spanner-emulator/emulator:latest
ports:
- "9010:9010"
# Init (Create Instance)
spanner_init:
image: gcr.io/google.com/cloudsdktool/cloud-sdk:332.0.0-slim
command: >
bash -c 'gcloud config configurations create emulator &&
gcloud config set auth/disable_credentials true &&
gcloud config set project $${PROJECT_ID} &&
gcloud config set auth/disable_credentials true &&
gcloud spanner instances create $${INSTANCE_NAME} --config=emulator-config --description=Emulator --nodes=1'
environment:
PROJECT_ID: emulator-test-project
INSTANCE_NAME: test-instance
DATABASE_NAME: test-database
depends_on:
- spanner
mssql:
image: mcr.microsoft.com/mssql/server:2022-latest
ports:
- "1344:1433" # use a non-standard port here
environment:
SA_PASSWORD: Super-secret1
MSSQL_PID: Developer
ACCEPT_EULA: Accepted
MSSQL_TCP_PORT: 1433
cockroachdb:
image: docker.io/cockroachdb/cockroach:latest
command: start-single-node --insecure
restart: "no"
expose:
- "8080"
- "26257"
ports:
- "26257:26257"
- "8880:8080"
healthcheck:
test: ["CMD", "curl", "-f", "http://localhost:8080/health?ready=1"]
interval: 3s
timeout: 3s
retries: 5
python-advanced-alchemy-0.34.0/tests/docker_service_fixtures.py 0000664 0000000 0000000 00000022374 14763441450 0024756 0 ustar 00root root 0000000 0000000 from __future__ import annotations
import asyncio
import contextlib
import os
import re
import subprocess
import sys
import timeit
from collections.abc import Awaitable, Generator
from pathlib import Path
from typing import Any, Callable
import asyncmy
import asyncpg
import oracledb
import psycopg
import pyodbc
import pytest
from google.auth.credentials import AnonymousCredentials
from google.cloud import spanner
from oracledb.exceptions import DatabaseError, OperationalError
from tests.helpers import wrap_sync
async def wait_until_responsive(
check: Callable[..., Awaitable],
timeout: float,
pause: float,
**kwargs: Any,
) -> None:
"""Wait until a service is responsive.
Args:
check: Coroutine, return truthy value when waiting should stop.
timeout: Maximum seconds to wait.
pause: Seconds to wait between calls to `check`.
**kwargs: Given as kwargs to `check`.
"""
ref = timeit.default_timer()
now = ref
while (now - ref) < timeout: # sourcery skip
if await check(**kwargs):
return
await asyncio.sleep(pause)
now = timeit.default_timer()
msg = "Timeout reached while waiting on service!"
raise RuntimeError(msg)
USE_LEGACY_DOCKER_COMPOSE: bool = bool(os.environ.get("USE_LEGACY_DOCKER_COMPOSE", None))
class DockerServiceRegistry:
def __init__(self, worker_id: str) -> None:
self._running_services: set[str] = set()
self.docker_ip = self._get_docker_ip()
self._base_command = ["docker-compose"] if USE_LEGACY_DOCKER_COMPOSE else ["docker", "compose"]
self._base_command.extend(
[
f"--file={Path(__file__).parent / 'docker-compose.yml'}",
f"--project-name=advanced_alchemy-{worker_id}",
],
)
def _get_docker_ip(self) -> str:
docker_host = os.environ.get("DOCKER_HOST", "").strip()
if not docker_host or docker_host.startswith("unix://"):
return "127.0.0.1"
if match := re.match(r"^tcp://(.+?):\d+$", docker_host):
return match[1]
msg = f'Invalid value for DOCKER_HOST: "{docker_host}".'
raise ValueError(msg)
def run_command(self, *args: str) -> None:
command = [*self._base_command, *args]
subprocess.run(command, check=True, capture_output=True)
async def start(
self,
name: str,
*,
check: Callable[..., Any],
timeout: float = 30,
pause: float = 0.1,
**kwargs: Any,
) -> None:
if name not in self._running_services:
if await wrap_sync(check)(self.docker_ip, **kwargs):
self._running_services.add(name)
return
self.run_command("up", "-d", name)
self._running_services.add(name)
await wait_until_responsive(
check=wrap_sync(check),
timeout=timeout,
pause=pause,
host=self.docker_ip,
**kwargs,
)
def stop(self, name: str) -> None:
pass
def down(self) -> None:
self.run_command("down", "-t", "5")
@pytest.fixture(scope="session")
def docker_services(worker_id: str) -> Generator[DockerServiceRegistry, None, None]:
if os.getenv("GITHUB_ACTIONS") == "true" and sys.platform != "linux":
pytest.skip("Docker not available on this platform")
registry = DockerServiceRegistry(worker_id)
try:
yield registry
finally:
registry.down()
@pytest.fixture(scope="session")
def docker_ip(docker_services: DockerServiceRegistry) -> Generator[str, None, None]:
yield docker_services.docker_ip
async def mysql_responsive(host: str) -> bool:
try:
conn = await asyncmy.connect(
host=host,
port=3360,
user="app",
database="db",
password="super-secret",
)
async with conn.cursor() as cursor:
await cursor.execute("select 1 as is_available")
resp = await cursor.fetchone()
return resp[0] == 1 # type: ignore
except asyncmy.errors.OperationalError: # pyright: ignore[reportAttributeAccessIssue]
return False
@pytest.fixture()
async def mysql_service(docker_services: DockerServiceRegistry) -> None:
await docker_services.start("mysql", timeout=45, pause=1, check=mysql_responsive)
async def postgres_responsive(host: str) -> bool:
try:
conn = await asyncpg.connect(
host=host,
port=5423,
user="postgres",
database="postgres",
password="super-secret",
)
except (ConnectionError, asyncpg.CannotConnectNowError):
return False
try:
return (await conn.fetchrow("SELECT 1"))[0] == 1 # type: ignore
finally:
await conn.close()
@pytest.fixture()
async def postgres_service(docker_services: DockerServiceRegistry) -> None:
await docker_services.start("postgres", check=postgres_responsive)
async def postgres14_responsive(host: str) -> bool:
try:
conn = await asyncpg.connect(
host=host,
port=5424,
user="postgres",
database="postgres",
password="super-secret",
)
except (ConnectionError, asyncpg.CannotConnectNowError):
return False
try:
return (await conn.fetchrow("SELECT 1"))[0] == 1 # type: ignore
finally:
await conn.close()
@pytest.fixture()
async def postgres14_service(docker_services: DockerServiceRegistry) -> None:
await docker_services.start("postgres", check=postgres_responsive)
def oracle23c_responsive(host: str) -> bool:
try:
conn = oracledb.connect(
host=host,
port=1513,
user="app",
service_name="FREEPDB1",
password="super-secret",
)
with conn.cursor() as cursor:
cursor.execute("SELECT 1 FROM dual")
resp = cursor.fetchone()
return resp[0] == 1 # type: ignore
except (OperationalError, DatabaseError, Exception):
return False
@pytest.fixture()
async def oracle23c_service(docker_services: DockerServiceRegistry) -> None:
await docker_services.start("oracle23c", check=oracle23c_responsive, timeout=120)
def oracle18c_responsive(host: str) -> bool:
try:
conn = oracledb.connect(
host=host,
port=1512,
user="app",
service_name="xepdb1",
password="super-secret",
)
with conn.cursor() as cursor:
cursor.execute("SELECT 1 FROM dual")
resp = cursor.fetchone()
return resp[0] == 1 # type: ignore
except (OperationalError, DatabaseError, Exception):
return False
@pytest.fixture()
async def oracle18c_service(docker_services: DockerServiceRegistry) -> None:
await docker_services.start("oracle18c", check=oracle18c_responsive, timeout=120)
def spanner_responsive(host: str) -> bool:
try:
os.environ["SPANNER_EMULATOR_HOST"] = "localhost:9010"
os.environ["GOOGLE_CLOUD_PROJECT"] = "emulator-test-project"
spanner_client = spanner.Client(project="emulator-test-project", credentials=AnonymousCredentials()) # type: ignore[no-untyped-call]
instance = spanner_client.instance("test-instance")
with contextlib.suppress(Exception):
instance.create()
database = instance.database("test-database")
with contextlib.suppress(Exception):
database.create()
with database.snapshot() as snapshot:
resp = next(iter(snapshot.execute_sql("SELECT 1")))
return resp[0] == 1 # type: ignore
except Exception:
return False
@pytest.fixture()
async def spanner_service(docker_services: DockerServiceRegistry) -> None:
os.environ["SPANNER_EMULATOR_HOST"] = "localhost:9010"
await docker_services.start("spanner", timeout=60, check=spanner_responsive)
async def mssql_responsive(host: str) -> bool:
await asyncio.sleep(1)
try:
port = 1344
user = "sa"
database = "master"
conn = pyodbc.connect(
connstring=f"encrypt=no; TrustServerCertificate=yes; driver={{ODBC Driver 18 for SQL Server}}; server={host},{port}; database={database}; UID={user}; PWD=Super-secret1",
timeout=2,
)
with conn.cursor() as cursor:
cursor.execute("select 1 as is_available")
resp = cursor.fetchone()
return resp[0] == 1 # type: ignore
except Exception:
return False
@pytest.fixture()
async def mssql_service(docker_services: DockerServiceRegistry) -> None:
await docker_services.start("mssql", timeout=60, pause=1, check=mssql_responsive)
async def cockroachdb_responsive(host: str) -> bool:
try:
with psycopg.connect("postgresql://root@127.0.0.1:26257/defaultdb?sslmode=disable") as conn:
with conn.cursor() as cursor:
cursor.execute("select 1 as is_available")
resp = cursor.fetchone()
return resp[0] == 1 # type: ignore
except Exception:
return False
@pytest.fixture()
async def cockroachdb_service(docker_services: DockerServiceRegistry) -> None:
await docker_services.start("cockroachdb", timeout=60, pause=1, check=cockroachdb_responsive)
python-advanced-alchemy-0.34.0/tests/fixtures/ 0000775 0000000 0000000 00000000000 14763441450 0021325 5 ustar 00root root 0000000 0000000 python-advanced-alchemy-0.34.0/tests/fixtures/__init__.py 0000664 0000000 0000000 00000000000 14763441450 0023424 0 ustar 00root root 0000000 0000000 python-advanced-alchemy-0.34.0/tests/fixtures/bigint/ 0000775 0000000 0000000 00000000000 14763441450 0022601 5 ustar 00root root 0000000 0000000 python-advanced-alchemy-0.34.0/tests/fixtures/bigint/__init__.py 0000664 0000000 0000000 00000000000 14763441450 0024700 0 ustar 00root root 0000000 0000000 python-advanced-alchemy-0.34.0/tests/fixtures/bigint/models.py 0000664 0000000 0000000 00000007614 14763441450 0024446 0 ustar 00root root 0000000 0000000 """Example domain objects for testing."""
from __future__ import annotations
import datetime
from sqlalchemy import Column, FetchedValue, ForeignKey, String, Table, func
from sqlalchemy.orm import Mapped, declared_attr, mapped_column, relationship
from sqlalchemy.orm.decl_base import _TableArgsType as TableArgsType # pyright: ignore[reportPrivateUsage]
from advanced_alchemy.base import BigIntAuditBase, BigIntBase, merge_table_arguments
from advanced_alchemy.mixins import SlugKey
from advanced_alchemy.types import EncryptedString
from advanced_alchemy.types.encrypted_string import EncryptedText
class BigIntAuthor(BigIntAuditBase):
"""The Author domain object."""
name: Mapped[str] = mapped_column(String(length=100))
string_field: Mapped[str] = mapped_column(String(20), default="static value", nullable=True)
dob: Mapped[datetime.date] = mapped_column(nullable=True)
books: Mapped[list[BigIntBook]] = relationship(
lazy="selectin",
back_populates="author",
cascade="all, delete",
)
class BigIntBook(BigIntBase):
"""The Book domain object."""
title: Mapped[str] = mapped_column(String(length=250)) # pyright: ignore
author_id: Mapped[int] = mapped_column(ForeignKey("big_int_author.id")) # pyright: ignore
author: Mapped[BigIntAuthor] = relationship( # pyright: ignore
lazy="joined",
innerjoin=True,
back_populates="books",
)
class BigIntSlugBook(BigIntBase, SlugKey):
"""The Book domain object with a slug key."""
title: Mapped[str] = mapped_column(String(length=250)) # pyright: ignore
author_id: Mapped[str] = mapped_column(String(length=250)) # pyright: ignore
@declared_attr.directive
@classmethod
def __table_args__(cls) -> TableArgsType:
return merge_table_arguments(
cls,
table_args={"comment": "Slugbook"},
)
class BigIntEventLog(BigIntAuditBase):
"""The event log domain object."""
logged_at: Mapped[datetime.datetime] = mapped_column(default=datetime.datetime.now()) # pyright: ignore
payload: Mapped[dict] = mapped_column(default=lambda: {}) # pyright: ignore
class BigIntModelWithFetchedValue(BigIntBase):
"""The ModelWithFetchedValue BigIntBase."""
val: Mapped[int] # pyright: ignore
updated: Mapped[datetime.datetime] = mapped_column( # pyright: ignore
server_default=func.current_timestamp(),
onupdate=func.current_timestamp(),
server_onupdate=FetchedValue(),
)
bigint_item_tag = Table(
"bigint_item_tag",
BigIntBase.metadata,
Column("item_id", ForeignKey("big_int_item.id"), primary_key=True), # pyright: ignore
Column("tag_id", ForeignKey("big_int_tag.id"), primary_key=True), # pyright: ignore
)
class BigIntItem(BigIntBase):
name: Mapped[str] = mapped_column(String(length=50)) # pyright: ignore
description: Mapped[str] = mapped_column(String(length=100), nullable=True) # pyright: ignore
tags: Mapped[list[BigIntTag]] = relationship(secondary=lambda: bigint_item_tag, back_populates="items")
class BigIntTag(BigIntBase):
"""The event log domain object."""
name: Mapped[str] = mapped_column(String(length=50)) # pyright: ignore
items: Mapped[list[BigIntItem]] = relationship(secondary=lambda: bigint_item_tag, back_populates="tags")
class BigIntRule(BigIntAuditBase):
"""The rule domain object."""
name: Mapped[str] = mapped_column(String(length=250)) # pyright: ignore
config: Mapped[dict] = mapped_column(default=lambda: {}) # pyright: ignore
class BigIntSecret(BigIntBase):
"""The secret domain model."""
secret: Mapped[str] = mapped_column(
EncryptedString(key="super_secret"),
)
long_secret: Mapped[str] = mapped_column(
EncryptedText(key="super_secret"),
)
length_validated_secret: Mapped[str] = mapped_column(
EncryptedString(key="super_secret", length=10),
nullable=True,
)
python-advanced-alchemy-0.34.0/tests/fixtures/bigint/repositories.py 0000664 0000000 0000000 00000011623 14763441450 0025705 0 ustar 00root root 0000000 0000000 """Example domain objects for testing."""
from __future__ import annotations
from advanced_alchemy.repository import (
SQLAlchemyAsyncRepository,
SQLAlchemyAsyncSlugRepository,
SQLAlchemySyncRepository,
SQLAlchemySyncSlugRepository,
)
from advanced_alchemy.repository.memory import (
SQLAlchemyAsyncMockRepository,
SQLAlchemyAsyncMockSlugRepository,
SQLAlchemySyncMockRepository,
SQLAlchemySyncMockSlugRepository,
)
from tests.fixtures.bigint.models import (
BigIntAuthor,
BigIntBook,
BigIntEventLog,
BigIntItem,
BigIntModelWithFetchedValue,
BigIntRule,
BigIntSecret,
BigIntSlugBook,
BigIntTag,
)
class RuleAsyncRepository(SQLAlchemyAsyncRepository[BigIntRule]):
"""Rule repository."""
model_type = BigIntRule
class RuleAsyncMockRepository(SQLAlchemyAsyncMockRepository[BigIntRule]):
"""Rule repository."""
model_type = BigIntRule
class RuleSyncMockRepository(SQLAlchemySyncMockRepository[BigIntRule]):
"""Rule repository."""
model_type = BigIntRule
class AuthorAsyncRepository(SQLAlchemyAsyncRepository[BigIntAuthor]):
"""Author repository."""
model_type = BigIntAuthor
class AuthorAsyncMockRepository(SQLAlchemyAsyncMockRepository[BigIntAuthor]):
model_type = BigIntAuthor
class AuthorSyncMockRepository(SQLAlchemySyncMockRepository[BigIntAuthor]):
model_type = BigIntAuthor
class BookAsyncRepository(SQLAlchemyAsyncRepository[BigIntBook]):
"""Book repository."""
model_type = BigIntBook
class BookAsyncMockRepository(SQLAlchemyAsyncMockRepository[BigIntBook]):
"""Book repository."""
model_type = BigIntBook
class BookSyncMockRepository(SQLAlchemySyncMockRepository[BigIntBook]):
"""Book repository."""
model_type = BigIntBook
class EventLogAsyncRepository(SQLAlchemyAsyncRepository[BigIntEventLog]):
"""Event log repository."""
model_type = BigIntEventLog
class ModelWithFetchedValueAsyncRepository(SQLAlchemyAsyncRepository[BigIntModelWithFetchedValue]):
"""BigIntModelWithFetchedValue repository."""
model_type = BigIntModelWithFetchedValue
class SecretAsyncRepository(SQLAlchemyAsyncRepository[BigIntSecret]):
"""Secret repository."""
model_type = BigIntSecret
class TagAsyncRepository(SQLAlchemyAsyncRepository[BigIntTag]):
"""Tag repository."""
model_type = BigIntTag
class TagAsyncMockRepository(SQLAlchemyAsyncMockRepository[BigIntTag]):
"""Tag repository."""
model_type = BigIntTag
class TagSyncMockRepository(SQLAlchemySyncMockRepository[BigIntTag]):
"""Tag repository."""
model_type = BigIntTag
class SecretSyncRepository(SQLAlchemySyncRepository[BigIntSecret]):
"""Secret repository."""
model_type = BigIntSecret
class ItemAsyncRepository(SQLAlchemyAsyncRepository[BigIntItem]):
"""Item repository."""
model_type = BigIntItem
class ItemAsyncMockRepository(SQLAlchemyAsyncMockRepository[BigIntItem]):
"""Item repository."""
model_type = BigIntItem
class ItemSyncMockRepository(SQLAlchemySyncMockRepository[BigIntItem]):
"""Item repository."""
model_type = BigIntItem
class SecretAsyncMockRepository(SQLAlchemyAsyncMockRepository[BigIntSecret]):
"""Secret repository."""
model_type = BigIntSecret
class SecretSyncMockRepository(SQLAlchemySyncMockRepository[BigIntSecret]):
"""Secret repository."""
model_type = BigIntSecret
class AuthorSyncRepository(SQLAlchemySyncRepository[BigIntAuthor]):
"""Author repository."""
model_type = BigIntAuthor
class BookSyncRepository(SQLAlchemySyncRepository[BigIntBook]):
"""Book repository."""
model_type = BigIntBook
class EventLogSyncRepository(SQLAlchemySyncRepository[BigIntEventLog]):
"""Event log repository."""
model_type = BigIntEventLog
class RuleSyncRepository(SQLAlchemySyncRepository[BigIntRule]):
"""Rule repository."""
model_type = BigIntRule
class ModelWithFetchedValueSyncRepository(SQLAlchemySyncRepository[BigIntModelWithFetchedValue]):
"""ModelWithFetchedValue repository."""
model_type = BigIntModelWithFetchedValue
class TagSyncRepository(SQLAlchemySyncRepository[BigIntTag]):
"""Tag repository."""
model_type = BigIntTag
class ItemSyncRepository(SQLAlchemySyncRepository[BigIntItem]):
"""Item repository."""
model_type = BigIntItem
class SlugBookAsyncRepository(SQLAlchemyAsyncSlugRepository[BigIntSlugBook]):
"""Slug Book repository."""
_uniquify_results = True
model_type = BigIntSlugBook
class SlugBookSyncRepository(SQLAlchemySyncSlugRepository[BigIntSlugBook]):
"""Slug Book repository."""
_uniquify_results = True
model_type = BigIntSlugBook
class SlugBookAsyncMockRepository(SQLAlchemyAsyncMockSlugRepository[BigIntSlugBook]):
"""Book repository."""
model_type = BigIntSlugBook
class SlugBookSyncMockRepository(SQLAlchemySyncMockSlugRepository[BigIntSlugBook]):
"""Book repository."""
model_type = BigIntSlugBook
python-advanced-alchemy-0.34.0/tests/fixtures/bigint/services.py 0000664 0000000 0000000 00000021622 14763441450 0025001 0 ustar 00root root 0000000 0000000 """Example domain objects for testing."""
from __future__ import annotations
from advanced_alchemy.service import (
SQLAlchemyAsyncRepositoryService,
SQLAlchemySyncRepositoryService,
)
from advanced_alchemy.service.typing import ModelDictT, is_dict_with_field, is_dict_without_field, schema_dump
from tests.fixtures.bigint.models import (
BigIntAuthor,
BigIntBook,
BigIntEventLog,
BigIntItem,
BigIntModelWithFetchedValue,
BigIntRule,
BigIntSecret,
BigIntSlugBook,
BigIntTag,
)
from tests.fixtures.bigint.repositories import (
AuthorAsyncMockRepository,
AuthorAsyncRepository,
AuthorSyncMockRepository,
AuthorSyncRepository,
BookAsyncMockRepository,
BookAsyncRepository,
BookSyncMockRepository,
BookSyncRepository,
EventLogAsyncRepository,
EventLogSyncRepository,
ItemAsyncMockRepository,
ItemAsyncRepository,
ItemSyncMockRepository,
ItemSyncRepository,
ModelWithFetchedValueAsyncRepository,
ModelWithFetchedValueSyncRepository,
RuleAsyncMockRepository,
RuleAsyncRepository,
RuleSyncMockRepository,
RuleSyncRepository,
SecretAsyncRepository,
SecretSyncRepository,
SlugBookAsyncMockRepository,
SlugBookAsyncRepository,
SlugBookSyncMockRepository,
SlugBookSyncRepository,
TagAsyncMockRepository,
TagAsyncRepository,
TagSyncMockRepository,
TagSyncRepository,
)
# Services
class SecretAsyncService(SQLAlchemyAsyncRepositoryService[BigIntSecret, SecretAsyncRepository]):
"""Rule repository."""
repository_type = SecretAsyncRepository
class RuleAsyncService(SQLAlchemyAsyncRepositoryService[BigIntRule, RuleAsyncRepository]):
"""Rule repository."""
repository_type = RuleAsyncRepository
class RuleAsyncMockService(SQLAlchemyAsyncRepositoryService[BigIntRule, RuleAsyncMockRepository]):
"""Rule repository."""
repository_type = RuleAsyncMockRepository
class RuleSyncMockService(SQLAlchemySyncRepositoryService[BigIntRule, RuleSyncMockRepository]):
"""Rule repository."""
repository_type = RuleSyncMockRepository
class AuthorAsyncService(SQLAlchemyAsyncRepositoryService[BigIntAuthor, AuthorAsyncRepository]):
"""Author repository."""
repository_type = AuthorAsyncRepository
class AuthorAsyncMockService(SQLAlchemyAsyncRepositoryService[BigIntAuthor, AuthorAsyncMockRepository]):
"""Author repository."""
repository_type = AuthorAsyncMockRepository
class AuthorSyncMockService(SQLAlchemySyncRepositoryService[BigIntAuthor, AuthorSyncMockRepository]):
"""Author repository."""
repository_type = AuthorSyncMockRepository
class BookAsyncService(SQLAlchemyAsyncRepositoryService[BigIntBook, BookAsyncRepository]):
"""Book repository."""
repository_type = BookAsyncRepository
class BookAsyncMockService(SQLAlchemyAsyncRepositoryService[BigIntBook, BookAsyncMockRepository]):
"""Book repository."""
repository_type = BookAsyncMockRepository
class BookSyncMockService(SQLAlchemySyncRepositoryService[BigIntBook, BookSyncMockRepository]):
"""Book repository."""
repository_type = BookSyncMockRepository
class EventLogAsyncService(SQLAlchemyAsyncRepositoryService[BigIntEventLog, EventLogAsyncRepository]):
"""Event log repository."""
repository_type = EventLogAsyncRepository
class ModelWithFetchedValueAsyncService(
SQLAlchemyAsyncRepositoryService[BigIntModelWithFetchedValue, ModelWithFetchedValueAsyncRepository]
):
"""BigIntModelWithFetchedValue repository."""
repository_type = ModelWithFetchedValueAsyncRepository
class TagAsyncService(SQLAlchemyAsyncRepositoryService[BigIntTag, TagAsyncRepository]):
"""Tag repository."""
repository_type = TagAsyncRepository
class TagAsyncMockService(SQLAlchemyAsyncRepositoryService[BigIntTag, TagAsyncMockRepository]):
"""Tag repository."""
repository_type = TagAsyncMockRepository
class TagSyncMockService(SQLAlchemySyncRepositoryService[BigIntTag, TagSyncMockRepository]):
"""Tag repository."""
repository_type = TagSyncMockRepository
class ItemAsyncService(SQLAlchemyAsyncRepositoryService[BigIntItem, ItemAsyncRepository]):
"""Item repository."""
repository_type = ItemAsyncRepository
class ItemAsyncMockService(SQLAlchemyAsyncRepositoryService[BigIntItem, ItemAsyncMockRepository]):
"""Item repository."""
repository_type = ItemAsyncMockRepository
class ItemSyncMockService(SQLAlchemySyncRepositoryService[BigIntItem, ItemSyncMockRepository]):
"""Item repository."""
repository_type = ItemSyncMockRepository
class RuleSyncService(SQLAlchemySyncRepositoryService[BigIntRule, RuleSyncRepository]):
"""Rule repository."""
repository_type = RuleSyncRepository
class AuthorSyncService(SQLAlchemySyncRepositoryService[BigIntAuthor, AuthorSyncRepository]):
"""Author repository."""
repository_type = AuthorSyncRepository
class BookSyncService(SQLAlchemySyncRepositoryService[BigIntBook, BookSyncRepository]):
"""Book repository."""
repository_type = BookSyncRepository
class EventLogSyncService(SQLAlchemySyncRepositoryService[BigIntEventLog, EventLogSyncRepository]):
"""Event log repository."""
repository_type = EventLogSyncRepository
class ModelWithFetchedValueSyncService(
SQLAlchemySyncRepositoryService[BigIntModelWithFetchedValue, ModelWithFetchedValueSyncRepository]
):
"""BigIntModelWithFetchedValue repository."""
repository_type = ModelWithFetchedValueSyncRepository
class SecretSyncService(SQLAlchemySyncRepositoryService[BigIntSecret, SecretSyncRepository]):
"""Rule repository."""
repository_type = SecretSyncRepository
class TagSyncService(SQLAlchemySyncRepositoryService[BigIntTag, TagSyncRepository]):
"""Tag repository."""
repository_type = TagSyncRepository
class ItemSyncService(SQLAlchemySyncRepositoryService[BigIntItem, ItemSyncRepository]):
"""Item repository."""
repository_type = ItemSyncRepository
# Slug book
class SlugBookAsyncService(SQLAlchemyAsyncRepositoryService[BigIntSlugBook]):
"""Book repository."""
repository_type = SlugBookAsyncRepository
match_fields = ["title"]
async def to_model(self, data: ModelDictT[BigIntSlugBook], operation: str | None = None) -> BigIntSlugBook:
data = schema_dump(data)
if is_dict_without_field(data, "slug") and operation == "create":
data["slug"] = await self.repository.get_available_slug(data["title"])
if is_dict_without_field(data, "slug") and is_dict_with_field(data, "title") and operation == "update":
data["slug"] = await self.repository.get_available_slug(data["title"])
return await super().to_model(data, operation)
class SlugBookSyncService(SQLAlchemySyncRepositoryService[BigIntSlugBook, SlugBookSyncRepository]):
"""Book repository."""
repository_type = SlugBookSyncRepository
match_fields = ["title"]
def to_model(
self,
data: ModelDictT[BigIntSlugBook],
operation: str | None = None,
) -> BigIntSlugBook:
data = schema_dump(data)
if is_dict_without_field(data, "slug") and operation == "create":
data["slug"] = self.repository.get_available_slug(data["title"])
if is_dict_without_field(data, "slug") and is_dict_with_field(data, "title") and operation == "update":
data["slug"] = self.repository.get_available_slug(data["title"])
return super().to_model(data, operation)
class SlugBookAsyncMockService(SQLAlchemyAsyncRepositoryService[BigIntSlugBook, SlugBookAsyncMockRepository]):
"""Book repository."""
repository_type = SlugBookAsyncMockRepository
match_fields = ["title"]
async def to_model(
self,
data: ModelDictT[BigIntSlugBook],
operation: str | None = None,
) -> BigIntSlugBook:
data = schema_dump(data)
if is_dict_without_field(data, "slug") and operation == "create":
data["slug"] = await self.repository.get_available_slug(data["title"])
if is_dict_without_field(data, "slug") and is_dict_with_field(data, "title") and operation == "update":
data["slug"] = await self.repository.get_available_slug(data["title"])
return await super().to_model(data, operation)
class SlugBookSyncMockService(SQLAlchemySyncRepositoryService[BigIntSlugBook, SlugBookSyncMockRepository]):
"""Book repository."""
repository_type = SlugBookSyncMockRepository
match_fields = ["title"]
def to_model(
self,
data: ModelDictT[BigIntSlugBook],
operation: str | None = None,
) -> BigIntSlugBook:
data = schema_dump(data)
if is_dict_without_field(data, "slug") and operation == "create":
data["slug"] = self.repository.get_available_slug(data["title"])
if is_dict_without_field(data, "slug") and is_dict_with_field(data, "title") and operation == "update":
data["slug"] = self.repository.get_available_slug(data["title"])
return super().to_model(data, operation)
python-advanced-alchemy-0.34.0/tests/fixtures/uuid/ 0000775 0000000 0000000 00000000000 14763441450 0022273 5 ustar 00root root 0000000 0000000 python-advanced-alchemy-0.34.0/tests/fixtures/uuid/__init__.py 0000664 0000000 0000000 00000000000 14763441450 0024372 0 ustar 00root root 0000000 0000000 python-advanced-alchemy-0.34.0/tests/fixtures/uuid/models.py 0000664 0000000 0000000 00000007532 14763441450 0024137 0 ustar 00root root 0000000 0000000 """Example domain objects for testing."""
from __future__ import annotations
import datetime
from uuid import UUID
from sqlalchemy import Column, FetchedValue, ForeignKey, String, Table, func
from sqlalchemy.orm import Mapped, declared_attr, mapped_column, relationship
from advanced_alchemy.base import (
TableArgsType, # pyright: ignore[reportPrivateUsage]
UUIDAuditBase,
UUIDBase,
UUIDv6Base,
UUIDv7Base,
merge_table_arguments,
)
from advanced_alchemy.mixins import SlugKey
from advanced_alchemy.types.encrypted_string import EncryptedString, EncryptedText
class UUIDAuthor(UUIDAuditBase):
"""The UUIDAuthor domain object."""
name: Mapped[str] = mapped_column(String(length=100)) # pyright: ignore
string_field: Mapped[str] = mapped_column(String(20), default="static value", nullable=True) # pyright: ignore
dob: Mapped[datetime.date] = mapped_column(nullable=True) # pyright: ignore
books: Mapped[list[UUIDBook]] = relationship(
lazy="selectin",
back_populates="author",
cascade="all, delete",
)
class UUIDBook(UUIDBase):
"""The Book domain object."""
title: Mapped[str] = mapped_column(String(length=250)) # pyright: ignore
author_id: Mapped[UUID] = mapped_column(ForeignKey("uuid_author.id")) # pyright: ignore
author: Mapped[UUIDAuthor] = relationship(lazy="joined", innerjoin=True, back_populates="books") # pyright: ignore
class UUIDSlugBook(UUIDBase, SlugKey):
"""The Book domain object with a slug key."""
title: Mapped[str] = mapped_column(String(length=250)) # pyright: ignore
author_id: Mapped[str] = mapped_column(String(length=250)) # pyright: ignore
@declared_attr.directive
@classmethod
def __table_args__(cls) -> TableArgsType:
return merge_table_arguments(
cls,
table_args={"comment": "Slugbook"},
)
class UUIDEventLog(UUIDAuditBase):
"""The event log domain object."""
logged_at: Mapped[datetime.datetime] = mapped_column(default=datetime.datetime.now()) # pyright: ignore
payload: Mapped[dict] = mapped_column(default={}) # pyright: ignore
class UUIDSecret(UUIDv7Base):
"""The secret domain model."""
secret: Mapped[str] = mapped_column(
EncryptedString(key="super_secret"),
)
long_secret: Mapped[str] = mapped_column(
EncryptedText(key="super_secret"),
)
length_validated_secret: Mapped[str] = mapped_column(
EncryptedString(key="super_secret", length=10),
nullable=True,
)
class UUIDModelWithFetchedValue(UUIDv6Base):
"""The ModelWithFetchedValue UUIDBase."""
val: Mapped[int] # pyright: ignore
updated: Mapped[datetime.datetime] = mapped_column( # pyright: ignore
server_default=func.current_timestamp(),
onupdate=func.current_timestamp(),
server_onupdate=FetchedValue(),
)
uuid_item_tag = Table(
"uuid_item_tag",
UUIDBase.metadata,
Column("item_id", ForeignKey("uuid_item.id"), primary_key=True), # pyright: ignore
Column("tag_id", ForeignKey("uuid_tag.id"), primary_key=True), # pyright: ignore
)
class UUIDItem(UUIDBase):
name: Mapped[str] = mapped_column(String(length=50)) # pyright: ignore
description: Mapped[str] = mapped_column(String(length=100), nullable=True) # pyright: ignore
tags: Mapped[list[UUIDTag]] = relationship(secondary=lambda: uuid_item_tag, back_populates="items")
class UUIDTag(UUIDAuditBase):
"""The event log domain object."""
name: Mapped[str] = mapped_column(String(length=50)) # pyright: ignore
items: Mapped[list[UUIDItem]] = relationship(secondary=lambda: uuid_item_tag, back_populates="tags")
class UUIDRule(UUIDAuditBase):
"""The rule domain object."""
name: Mapped[str] = mapped_column(String(length=250)) # pyright: ignore
config: Mapped[dict] = mapped_column(default=lambda: {}) # pyright: ignore
python-advanced-alchemy-0.34.0/tests/fixtures/uuid/repositories.py 0000664 0000000 0000000 00000011364 14763441450 0025401 0 ustar 00root root 0000000 0000000 """Example domain objects for testing."""
from __future__ import annotations
from advanced_alchemy.repository import (
SQLAlchemyAsyncRepository,
SQLAlchemyAsyncSlugRepository,
SQLAlchemySyncRepository,
SQLAlchemySyncSlugRepository,
)
from advanced_alchemy.repository.memory import (
SQLAlchemyAsyncMockRepository,
SQLAlchemyAsyncMockSlugRepository,
SQLAlchemySyncMockRepository,
SQLAlchemySyncMockSlugRepository,
)
from tests.fixtures.uuid.models import (
UUIDAuthor,
UUIDBook,
UUIDEventLog,
UUIDItem,
UUIDModelWithFetchedValue,
UUIDRule,
UUIDSecret,
UUIDSlugBook,
UUIDTag,
)
class SecretAsyncRepository(SQLAlchemyAsyncRepository[UUIDSecret]):
"""Secret repository."""
model_type = UUIDSecret
class RuleAsyncRepository(SQLAlchemyAsyncRepository[UUIDRule]):
"""Rule repository."""
model_type = UUIDRule
class RuleAsyncMockRepository(SQLAlchemyAsyncMockRepository[UUIDRule]):
"""Rule repository."""
model_type = UUIDRule
class RuleSyncMockRepository(SQLAlchemySyncMockRepository[UUIDRule]):
"""Rule repository."""
model_type = UUIDRule
class AuthorAsyncRepository(SQLAlchemyAsyncRepository[UUIDAuthor]):
"""Author repository."""
model_type = UUIDAuthor
class AuthorAsyncMockRepository(SQLAlchemyAsyncMockRepository[UUIDAuthor]):
model_type = UUIDAuthor
class AuthorSyncMockRepository(SQLAlchemySyncMockRepository[UUIDAuthor]):
model_type = UUIDAuthor
class BookAsyncRepository(SQLAlchemyAsyncRepository[UUIDBook]):
"""Book repository."""
model_type = UUIDBook
class BookAsyncMockRepository(SQLAlchemyAsyncMockRepository[UUIDBook]):
"""Book repository."""
model_type = UUIDBook
class BookSyncMockRepository(SQLAlchemySyncMockRepository[UUIDBook]):
"""Book repository."""
model_type = UUIDBook
class SlugBookAsyncRepository(SQLAlchemyAsyncSlugRepository[UUIDSlugBook]):
"""Book repository."""
_uniquify_results = True
model_type = UUIDSlugBook
class SlugBookSyncRepository(SQLAlchemySyncSlugRepository[UUIDSlugBook]):
"""Slug Book repository."""
_uniquify_results = True
model_type = UUIDSlugBook
class SlugBookAsyncMockRepository(SQLAlchemyAsyncMockSlugRepository[UUIDSlugBook]):
"""Book repository."""
model_type = UUIDSlugBook
class SlugBookSyncMockRepository(SQLAlchemySyncMockSlugRepository[UUIDSlugBook]):
"""Book repository."""
model_type = UUIDSlugBook
class EventLogAsyncRepository(SQLAlchemyAsyncRepository[UUIDEventLog]):
"""Event log repository."""
model_type = UUIDEventLog
class ModelWithFetchedValueAsyncRepository(SQLAlchemyAsyncRepository[UUIDModelWithFetchedValue]):
"""ModelWithFetchedValue repository."""
model_type = UUIDModelWithFetchedValue
class TagAsyncRepository(SQLAlchemyAsyncRepository[UUIDTag]):
"""Tag repository."""
model_type = UUIDTag
class TagAsyncMockRepository(SQLAlchemyAsyncMockRepository[UUIDTag]):
"""Tag repository."""
model_type = UUIDTag
class TagSyncMockRepository(SQLAlchemySyncMockRepository[UUIDTag]):
"""Tag repository."""
model_type = UUIDTag
class ItemAsyncRepository(SQLAlchemyAsyncRepository[UUIDItem]):
"""Item repository."""
model_type = UUIDItem
class ItemAsyncMockRepository(SQLAlchemyAsyncMockRepository[UUIDItem]):
"""Item repository."""
model_type = UUIDItem
class ItemSyncMockRepository(SQLAlchemySyncMockRepository[UUIDItem]):
"""Item repository."""
model_type = UUIDItem
class SecretAsyncMockRepository(SQLAlchemyAsyncMockRepository[UUIDSecret]):
"""Secret repository."""
model_type = UUIDSecret
class SecretSyncMockRepository(SQLAlchemySyncMockRepository[UUIDSecret]):
"""Secret repository."""
model_type = UUIDSecret
class AuthorSyncRepository(SQLAlchemySyncRepository[UUIDAuthor]):
"""Author repository."""
model_type = UUIDAuthor
class BookSyncRepository(SQLAlchemySyncRepository[UUIDBook]):
"""Book repository."""
model_type = UUIDBook
class SecretSyncRepository(SQLAlchemySyncRepository[UUIDSecret]):
"""Secret repository."""
model_type = UUIDSecret
class EventLogSyncRepository(SQLAlchemySyncRepository[UUIDEventLog]):
"""Event log repository."""
model_type = UUIDEventLog
class RuleSyncRepository(SQLAlchemySyncRepository[UUIDRule]):
"""Rule repository."""
model_type = UUIDRule
class ModelWithFetchedValueSyncRepository(SQLAlchemySyncRepository[UUIDModelWithFetchedValue]):
"""ModelWithFetchedValue repository."""
model_type = UUIDModelWithFetchedValue
class TagSyncRepository(SQLAlchemySyncRepository[UUIDTag]):
"""Tag repository."""
model_type = UUIDTag
class ItemSyncRepository(SQLAlchemySyncRepository[UUIDItem]):
"""Item repository."""
model_type = UUIDItem
python-advanced-alchemy-0.34.0/tests/fixtures/uuid/services.py 0000664 0000000 0000000 00000021503 14763441450 0024471 0 ustar 00root root 0000000 0000000 """Example domain objects for testing."""
from __future__ import annotations
from advanced_alchemy.service import (
SQLAlchemyAsyncRepositoryService,
SQLAlchemySyncRepositoryService,
)
from advanced_alchemy.service.typing import (
ModelDictT,
is_dict_with_field,
is_dict_without_field,
schema_dump,
)
from tests.fixtures.uuid.models import (
UUIDAuthor,
UUIDBook,
UUIDEventLog,
UUIDItem,
UUIDModelWithFetchedValue,
UUIDRule,
UUIDSecret,
UUIDSlugBook,
UUIDTag,
)
from tests.fixtures.uuid.repositories import (
AuthorAsyncMockRepository,
AuthorAsyncRepository,
AuthorSyncMockRepository,
AuthorSyncRepository,
BookAsyncMockRepository,
BookAsyncRepository,
BookSyncMockRepository,
BookSyncRepository,
EventLogAsyncRepository,
EventLogSyncRepository,
ItemAsyncMockRepository,
ItemAsyncRepository,
ItemSyncMockRepository,
ItemSyncRepository,
ModelWithFetchedValueAsyncRepository,
ModelWithFetchedValueSyncRepository,
RuleAsyncMockRepository,
RuleAsyncRepository,
RuleSyncMockRepository,
RuleSyncRepository,
SecretAsyncRepository,
SecretSyncRepository,
SlugBookAsyncMockRepository,
SlugBookAsyncRepository,
SlugBookSyncMockRepository,
SlugBookSyncRepository,
TagAsyncMockRepository,
TagAsyncRepository,
TagSyncMockRepository,
TagSyncRepository,
)
class SecretAsyncService(SQLAlchemyAsyncRepositoryService[UUIDSecret, SecretAsyncRepository]):
"""Rule repository."""
repository_type = SecretAsyncRepository
class RuleAsyncService(SQLAlchemyAsyncRepositoryService[UUIDRule, RuleAsyncRepository]):
"""Rule repository."""
repository_type = RuleAsyncRepository
class RuleAsyncMockService(SQLAlchemyAsyncRepositoryService[UUIDRule, RuleAsyncMockRepository]):
"""Rule repository."""
repository_type = RuleAsyncMockRepository
class RuleSyncMockService(SQLAlchemySyncRepositoryService[UUIDRule, RuleSyncMockRepository]):
"""Rule repository."""
repository_type = RuleSyncMockRepository
class AuthorAsyncService(SQLAlchemyAsyncRepositoryService[UUIDAuthor, AuthorAsyncRepository]):
"""Author repository."""
repository_type = AuthorAsyncRepository
class AuthorAsyncMockService(SQLAlchemyAsyncRepositoryService[UUIDAuthor, AuthorAsyncMockRepository]):
"""Author repository."""
repository_type = AuthorAsyncMockRepository
class AuthorSyncMockService(SQLAlchemySyncRepositoryService[UUIDAuthor, AuthorSyncMockRepository]):
"""Author repository."""
repository_type = AuthorSyncMockRepository
class BookAsyncService(SQLAlchemyAsyncRepositoryService[UUIDBook, BookAsyncRepository]):
"""Book repository."""
repository_type = BookAsyncRepository
class BookAsyncMockService(SQLAlchemyAsyncRepositoryService[UUIDBook, BookAsyncMockRepository]):
"""Book repository."""
repository_type = BookAsyncMockRepository
class BookSyncMockService(SQLAlchemySyncRepositoryService[UUIDBook, BookSyncMockRepository]):
"""Book repository."""
repository_type = BookSyncMockRepository
class EventLogAsyncService(SQLAlchemyAsyncRepositoryService[UUIDEventLog, EventLogAsyncRepository]):
"""Event log repository."""
repository_type = EventLogAsyncRepository
class ModelWithFetchedValueAsyncService(
SQLAlchemyAsyncRepositoryService[UUIDModelWithFetchedValue, ModelWithFetchedValueAsyncRepository]
):
"""UUIDModelWithFetchedValue repository."""
repository_type = ModelWithFetchedValueAsyncRepository
class TagAsyncService(SQLAlchemyAsyncRepositoryService[UUIDTag, TagAsyncRepository]):
"""Tag repository."""
repository_type = TagAsyncRepository
class TagAsyncMockService(SQLAlchemyAsyncRepositoryService[UUIDTag, TagAsyncMockRepository]):
"""Tag repository."""
repository_type = TagAsyncMockRepository
class TagSyncMockService(SQLAlchemySyncRepositoryService[UUIDTag, TagSyncMockRepository]):
"""Tag repository."""
repository_type = TagSyncMockRepository
class ItemAsyncService(SQLAlchemyAsyncRepositoryService[UUIDItem, ItemAsyncRepository]):
"""Item repository."""
repository_type = ItemAsyncRepository
class ItemAsyncMockService(SQLAlchemyAsyncRepositoryService[UUIDItem, ItemAsyncMockRepository]):
"""Item repository."""
repository_type = ItemAsyncMockRepository
class ItemSyncMockService(SQLAlchemySyncRepositoryService[UUIDItem, ItemSyncMockRepository]):
"""Item repository."""
repository_type = ItemSyncMockRepository
class RuleSyncService(SQLAlchemySyncRepositoryService[UUIDRule, RuleSyncRepository]):
"""Rule repository."""
repository_type = RuleSyncRepository
class AuthorSyncService(SQLAlchemySyncRepositoryService[UUIDAuthor, AuthorSyncRepository]):
"""Author repository."""
repository_type = AuthorSyncRepository
class BookSyncService(SQLAlchemySyncRepositoryService[UUIDBook, BookSyncRepository]):
"""Book repository."""
repository_type = BookSyncRepository
class EventLogSyncService(SQLAlchemySyncRepositoryService[UUIDEventLog, EventLogSyncRepository]):
"""Event log repository."""
repository_type = EventLogSyncRepository
class ModelWithFetchedValueSyncService(
SQLAlchemySyncRepositoryService[UUIDModelWithFetchedValue, ModelWithFetchedValueSyncRepository]
):
"""UUIDModelWithFetchedValue repository."""
repository_type = ModelWithFetchedValueSyncRepository
class TagSyncService(SQLAlchemySyncRepositoryService[UUIDTag, TagSyncRepository]):
"""Tag repository."""
repository_type = TagSyncRepository
class ItemSyncService(SQLAlchemySyncRepositoryService[UUIDItem, ItemSyncRepository]):
"""Item repository."""
repository_type = ItemSyncRepository
class SecretSyncService(SQLAlchemySyncRepositoryService[UUIDSecret, SecretSyncRepository]):
"""Rule repository."""
repository_type = SecretSyncRepository
class SlugBookAsyncService(SQLAlchemyAsyncRepositoryService[UUIDSlugBook, SlugBookAsyncRepository]):
"""Book repository."""
repository_type = SlugBookAsyncRepository
match_fields = ["title"]
async def to_model(
self,
data: ModelDictT[UUIDSlugBook],
operation: str | None = None,
) -> UUIDSlugBook:
data = schema_dump(data)
if is_dict_without_field(data, "slug") and operation == "create":
data["slug"] = await self.repository.get_available_slug(data["title"])
if is_dict_without_field(data, "slug") and is_dict_with_field(data, "title") and operation == "update":
data["slug"] = await self.repository.get_available_slug(data["title"])
return await super().to_model(data, operation)
class SlugBookSyncService(SQLAlchemySyncRepositoryService[UUIDSlugBook, SlugBookSyncRepository]):
"""Book repository."""
repository_type = SlugBookSyncRepository
def to_model(
self,
data: ModelDictT[UUIDSlugBook],
operation: str | None = None,
) -> UUIDSlugBook:
data = schema_dump(data)
if is_dict_without_field(data, "slug") and operation == "create":
data["slug"] = self.repository.get_available_slug(data["title"])
if is_dict_without_field(data, "slug") and is_dict_with_field(data, "title") and operation == "update":
data["slug"] = self.repository.get_available_slug(data["title"])
return super().to_model(data, operation)
class SlugBookAsyncMockService(SQLAlchemyAsyncRepositoryService[UUIDSlugBook, SlugBookAsyncMockRepository]):
"""Book repository."""
repository_type = SlugBookAsyncMockRepository
match_fields = ["title"]
async def to_model(
self,
data: ModelDictT[UUIDSlugBook],
operation: str | None = None,
) -> UUIDSlugBook:
data = schema_dump(data)
if is_dict_without_field(data, "slug") and operation == "create":
data["slug"] = await self.repository.get_available_slug(data["title"])
if is_dict_without_field(data, "slug") and is_dict_with_field(data, "title") and operation == "update":
data["slug"] = await self.repository.get_available_slug(data["title"])
return await super().to_model(data, operation)
class SlugBookSyncMockService(SQLAlchemySyncRepositoryService[UUIDSlugBook, SlugBookSyncMockRepository]):
"""Book repository."""
repository_type = SlugBookSyncMockRepository
match_fields = ["title"]
def to_model(
self,
data: ModelDictT[UUIDSlugBook],
operation: str | None = None,
) -> UUIDSlugBook:
data = schema_dump(data)
if is_dict_without_field(data, "slug") and operation == "create":
data["slug"] = self.repository.get_available_slug(data["title"])
if is_dict_without_field(data, "slug") and is_dict_with_field(data, "title") and operation == "update":
data["slug"] = self.repository.get_available_slug(data["title"])
return super().to_model(data, operation)
python-advanced-alchemy-0.34.0/tests/helpers.py 0000664 0000000 0000000 00000006016 14763441450 0021473 0 ustar 00root root 0000000 0000000 from __future__ import annotations
import asyncio
import importlib
import inspect
import sys
from collections.abc import Awaitable
from contextlib import AbstractAsyncContextManager, AbstractContextManager
from functools import partial
from pathlib import Path
from typing import TYPE_CHECKING, Any, Callable, TypeVar, cast, overload
from typing_extensions import ParamSpec
if TYPE_CHECKING:
from types import TracebackType
T = TypeVar("T")
P = ParamSpec("P")
def purge_module(module_names: list[str], path: str | Path) -> None:
for name in module_names:
if name in sys.modules:
del sys.modules[name]
Path(importlib.util.cache_from_source(path)).unlink(missing_ok=True) # type: ignore[arg-type]
class _ContextManagerWrapper:
def __init__(self, cm: AbstractContextManager[T]) -> None:
self._cm = cm
async def __aenter__(self) -> T: # pyright: ignore
return self._cm.__enter__() # type: ignore[return-value] # pyright: ignore
async def __aexit__(
self,
exc_type: type[BaseException] | None,
exc_val: BaseException | None,
exc_tb: TracebackType | None,
) -> bool | None:
return self._cm.__exit__(exc_type, exc_val, exc_tb)
@overload
async def maybe_async(obj: Awaitable[T]) -> T: ...
@overload
async def maybe_async(obj: T) -> T: ...
async def maybe_async(obj: Awaitable[T] | T) -> T:
return cast(T, await obj) if inspect.isawaitable(obj) else cast(T, obj) # type: ignore[redundant-cast]
def maybe_async_cm(obj: AbstractContextManager[T] | AbstractAsyncContextManager[T]) -> AbstractAsyncContextManager[T]:
if isinstance(obj, AbstractContextManager):
return cast(AbstractAsyncContextManager[T], _ContextManagerWrapper(obj))
return obj
def wrap_sync(fn: Callable[P, T]) -> Callable[P, Awaitable[T]]:
if inspect.iscoroutinefunction(fn):
return fn
async def wrapped(*args: P.args, **kwargs: P.kwargs) -> T:
return await asyncio.get_running_loop().run_in_executor(None, partial(fn, *args, **kwargs))
return wrapped
class NoValue:
"""A fake "Empty class"""
async def anext_(iterable: Any, default: Any = NoValue, *args: Any) -> Any: # pragma: nocover
"""Return the next item from an async iterator.
Args:
iterable: An async iterable.
default: An optional default value to return if the iterable is empty.
*args: The remaining args
Return:
The next value of the iterable.
Raises:
TypeError: The iterable given is not async.
This function will return the next value form an async iterable. If the
iterable is empty the StopAsyncIteration will be propagated. However, if
a default value is given as a second argument the exception is silenced and
the default value is returned instead.
"""
has_default = bool(not isinstance(default, NoValue))
try:
return await iterable.__anext__()
except StopAsyncIteration as exc:
if has_default:
return default
raise StopAsyncIteration from exc
python-advanced-alchemy-0.34.0/tests/integration/ 0000775 0000000 0000000 00000000000 14763441450 0021777 5 ustar 00root root 0000000 0000000 python-advanced-alchemy-0.34.0/tests/integration/__init__.py 0000664 0000000 0000000 00000000000 14763441450 0024076 0 ustar 00root root 0000000 0000000 python-advanced-alchemy-0.34.0/tests/integration/conftest.py 0000664 0000000 0000000 00000043401 14763441450 0024200 0 ustar 00root root 0000000 0000000 from __future__ import annotations
from collections.abc import AsyncGenerator, Generator
from typing import TYPE_CHECKING, cast
from unittest.mock import NonCallableMagicMock, create_autospec
import pytest
from pytest import FixtureRequest
from sqlalchemy import URL, Dialect, Engine, NullPool, create_engine
from sqlalchemy.ext.asyncio import AsyncEngine, AsyncSession, async_sessionmaker, create_async_engine
from sqlalchemy.orm import Session, sessionmaker
if TYPE_CHECKING:
from pathlib import Path
from pytest import MonkeyPatch
@pytest.fixture(autouse=True)
def _patch_bases(monkeypatch: MonkeyPatch) -> None: # pyright: ignore[reportUnusedFunction]
"""Ensure new registry state for every test.
This prevents errors such as "Table '...' is already defined for
this MetaData instance...
"""
from sqlalchemy.orm import DeclarativeBase
from advanced_alchemy import base, mixins
class NewUUIDBase(mixins.UUIDPrimaryKey, base.CommonTableAttributes, DeclarativeBase): ...
class NewUUIDAuditBase(
mixins.UUIDPrimaryKey,
base.CommonTableAttributes,
mixins.AuditColumns,
DeclarativeBase,
): ...
class NewUUIDv6Base(mixins.UUIDPrimaryKey, base.CommonTableAttributes, DeclarativeBase): ...
class NewUUIDv6AuditBase(
mixins.UUIDPrimaryKey,
base.CommonTableAttributes,
mixins.AuditColumns,
DeclarativeBase,
): ...
class NewUUIDv7Base(mixins.UUIDPrimaryKey, base.CommonTableAttributes, DeclarativeBase): ...
class NewUUIDv7AuditBase(
mixins.UUIDPrimaryKey,
base.CommonTableAttributes,
mixins.AuditColumns,
DeclarativeBase,
): ...
class NewNanoIDBase(mixins.NanoIDPrimaryKey, base.CommonTableAttributes, DeclarativeBase): ...
class NewNanoIDAuditBase(
mixins.NanoIDPrimaryKey,
base.CommonTableAttributes,
mixins.AuditColumns,
DeclarativeBase,
): ...
class NewBigIntBase(mixins.BigIntPrimaryKey, base.CommonTableAttributes, DeclarativeBase): ...
class NewBigIntAuditBase(
mixins.BigIntPrimaryKey,
base.CommonTableAttributes,
mixins.AuditColumns,
DeclarativeBase,
): ...
monkeypatch.setattr(base, "UUIDBase", NewUUIDBase)
monkeypatch.setattr(base, "UUIDAuditBase", NewUUIDAuditBase)
monkeypatch.setattr(base, "UUIDv6Base", NewUUIDv6Base)
monkeypatch.setattr(base, "UUIDv6AuditBase", NewUUIDv6AuditBase)
monkeypatch.setattr(base, "UUIDv7Base", NewUUIDv7Base)
monkeypatch.setattr(base, "UUIDv7AuditBase", NewUUIDv7AuditBase)
monkeypatch.setattr(base, "NanoIDBase", NewNanoIDBase)
monkeypatch.setattr(base, "NanoIDAuditBase", NewNanoIDAuditBase)
monkeypatch.setattr(base, "BigIntBase", NewBigIntBase)
monkeypatch.setattr(base, "BigIntAuditBase", NewBigIntAuditBase)
@pytest.fixture()
def duckdb_engine(tmp_path: Path) -> Generator[Engine, None, None]:
"""SQLite engine for end-to-end testing.
Returns:
Async SQLAlchemy engine instance.
"""
engine = create_engine(f"duckdb:///{tmp_path}/test.duck.db", poolclass=NullPool)
try:
yield engine
finally:
engine.dispose()
@pytest.fixture()
def oracle18c_engine(docker_ip: str, oracle18c_service: None) -> Generator[Engine, None, None]:
"""Oracle 18c instance for end-to-end testing.
Args:
docker_ip: IP address for TCP connection to Docker containers.
oracle18c_service: ...
Returns:
Async SQLAlchemy engine instance.
"""
yield create_engine(
"oracle+oracledb://:@",
thick_mode=False,
connect_args={
"user": "app",
"password": "super-secret",
"host": docker_ip,
"port": 1512,
"service_name": "xepdb1",
},
poolclass=NullPool,
)
@pytest.fixture()
def oracle23c_engine(docker_ip: str, oracle23c_service: None) -> Generator[Engine, None, None]:
"""Oracle 23c instance for end-to-end testing.
Args:
docker_ip: IP address for TCP connection to Docker containers.
oracle23c_service: ...
Returns:
Async SQLAlchemy engine instance.
"""
yield create_engine(
"oracle+oracledb://:@",
thick_mode=False,
connect_args={
"user": "app",
"password": "super-secret",
"host": docker_ip,
"port": 1513,
"service_name": "FREEPDB1",
},
poolclass=NullPool,
)
@pytest.fixture()
def psycopg_engine(docker_ip: str, postgres_service: None) -> Generator[Engine, None, None]:
"""Postgresql instance for end-to-end testing."""
yield create_engine(
URL(
drivername="postgresql+psycopg",
username="postgres",
password="super-secret",
host=docker_ip,
port=5423,
database="postgres",
query={}, # type:ignore[arg-type]
),
poolclass=NullPool,
)
@pytest.fixture()
def mssql_engine(docker_ip: str, mssql_service: None) -> Generator[Engine, None, None]:
"""MS SQL instance for end-to-end testing."""
yield create_engine(
URL(
drivername="mssql+pyodbc",
username="sa",
password="Super-secret1",
host=docker_ip,
port=1344,
database="master",
query={
"driver": "ODBC Driver 18 for SQL Server",
"encrypt": "no",
"TrustServerCertificate": "yes",
}, # type:ignore[arg-type]
),
poolclass=NullPool,
)
@pytest.fixture()
def sqlite_engine(tmp_path: Path) -> Generator[Engine, None, None]:
"""SQLite engine for end-to-end testing.
Returns:
Async SQLAlchemy engine instance.
"""
engine = create_engine(f"sqlite:///{tmp_path}/test.db", poolclass=NullPool)
try:
yield engine
finally:
engine.dispose()
@pytest.fixture()
def spanner_engine(docker_ip: str, spanner_service: None, monkeypatch: MonkeyPatch) -> Generator[Engine, None, None]:
"""Postgresql instance for end-to-end testing."""
monkeypatch.setenv("SPANNER_EMULATOR_HOST", "localhost:9010")
monkeypatch.setenv("GOOGLE_CLOUD_PROJECT", "emulator-test-project")
yield create_engine(
"spanner+spanner:///projects/emulator-test-project/instances/test-instance/databases/test-database",
poolclass=NullPool,
)
@pytest.fixture()
def cockroachdb_engine(docker_ip: str, cockroachdb_service: None) -> Generator[Engine, None, None]:
"""CockroachDB instance for end-to-end testing."""
yield create_engine(
url="cockroachdb://root@localhost:26257/defaultdb?sslmode=disable",
poolclass=NullPool,
)
@pytest.fixture()
def mock_sync_engine() -> Generator[NonCallableMagicMock, None, None]:
"""Return a mocked Engine instance."""
mock = cast(NonCallableMagicMock, create_autospec(Engine, instance=True))
mock.dialect = create_autospec(Dialect, instance=True)
mock.dialect.name = "mock"
yield mock
@pytest.fixture(
name="engine",
params=[
pytest.param(
"sqlite_engine",
marks=[
pytest.mark.sqlite,
pytest.mark.integration,
pytest.mark.xdist_group("sqlite"),
],
),
pytest.param(
"duckdb_engine",
marks=[
pytest.mark.duckdb,
pytest.mark.integration,
pytest.mark.xdist_group("duckdb"),
],
),
pytest.param(
"oracle18c_engine",
marks=[
pytest.mark.oracledb_sync,
pytest.mark.integration,
pytest.mark.xdist_group("oracle18"),
],
),
pytest.param(
"oracle23c_engine",
marks=[
pytest.mark.oracledb_sync,
pytest.mark.integration,
pytest.mark.xdist_group("oracle23"),
],
),
pytest.param(
"psycopg_engine",
marks=[
pytest.mark.psycopg_sync,
pytest.mark.integration,
pytest.mark.xdist_group("postgres"),
],
),
pytest.param(
"cockroachdb_engine",
marks=[
pytest.mark.cockroachdb_sync,
pytest.mark.integration,
pytest.mark.xdist_group("cockroachdb"),
],
),
pytest.param(
"mssql_engine",
marks=[
pytest.mark.mssql_sync,
pytest.mark.integration,
pytest.mark.xdist_group("mssql"),
],
),
pytest.param(
"mock_sync_engine",
marks=[
pytest.mark.mock_sync,
pytest.mark.integration,
pytest.mark.xdist_group("mock"),
],
),
],
)
def engine(request: FixtureRequest) -> Generator[Engine, None, None]:
yield cast(Engine, request.getfixturevalue(request.param))
@pytest.fixture()
def session(engine: Engine, request: FixtureRequest) -> Generator[Session, None, None]:
if "mock_sync_engine" in request.fixturenames:
session = create_autospec(Session, instance=True)
session.bind = engine
yield session
else:
session = sessionmaker(bind=engine, expire_on_commit=False)()
try:
yield session
finally:
session.rollback()
session.close()
@pytest.fixture()
async def aiosqlite_engine(tmp_path: Path) -> AsyncGenerator[AsyncEngine, None]:
"""SQLite engine for end-to-end testing.
Returns:
Async SQLAlchemy engine instance.
"""
engine = create_async_engine(f"sqlite+aiosqlite:///{tmp_path}/test.db", poolclass=NullPool)
try:
yield engine
finally:
await engine.dispose()
@pytest.fixture()
async def asyncmy_engine(docker_ip: str, mysql_service: None) -> AsyncGenerator[AsyncEngine, None]:
"""Postgresql instance for end-to-end testing."""
yield create_async_engine(
URL(
drivername="mysql+asyncmy",
username="app",
password="super-secret",
host=docker_ip,
port=3360,
database="db",
query={}, # type:ignore[arg-type]
),
poolclass=NullPool,
)
@pytest.fixture()
async def asyncpg_engine(docker_ip: str, postgres_service: None) -> AsyncGenerator[AsyncEngine, None]:
"""Postgresql instance for end-to-end testing."""
yield create_async_engine(
URL(
drivername="postgresql+asyncpg",
username="postgres",
password="super-secret",
host=docker_ip,
port=5423,
database="postgres",
query={}, # type:ignore[arg-type]
),
poolclass=NullPool,
)
@pytest.fixture()
async def psycopg_async_engine(docker_ip: str, postgres_service: None) -> AsyncGenerator[AsyncEngine, None]:
"""Postgresql instance for end-to-end testing."""
yield create_async_engine(
URL(
drivername="postgresql+psycopg",
username="postgres",
password="super-secret",
host=docker_ip,
port=5423,
database="postgres",
query={}, # type:ignore[arg-type]
),
poolclass=NullPool,
)
@pytest.fixture()
async def cockroachdb_async_engine(docker_ip: str, cockroachdb_service: None) -> AsyncGenerator[AsyncEngine, None]:
"""Cockroach DB async engine instance for end-to-end testing."""
yield create_async_engine(
url="cockroachdb+asyncpg://root@localhost:26257/defaultdb",
poolclass=NullPool,
)
@pytest.fixture()
async def mssql_async_engine(docker_ip: str, mssql_service: None) -> AsyncGenerator[AsyncEngine, None]:
"""MS SQL instance for end-to-end testing."""
yield create_async_engine(
URL(
drivername="mssql+aioodbc",
username="sa",
password="Super-secret1",
host=docker_ip,
port=1344,
database="master",
query={
"driver": "ODBC Driver 18 for SQL Server",
"encrypt": "no",
"TrustServerCertificate": "yes",
# NOTE: MARS_Connection is only needed for the concurrent async tests
# lack of this causes some tests to fail
# https://github.com/litestar-org/advanced-alchemy/actions/runs/6800623970/job/18493034767?pr=94
"MARS_Connection": "yes",
}, # type:ignore[arg-type]
),
poolclass=NullPool,
)
@pytest.fixture()
async def oracle18c_async_engine(docker_ip: str, oracle18c_service: None) -> AsyncGenerator[AsyncEngine, None]:
"""Oracle 18c instance for end-to-end testing.
Args:
docker_ip: IP address for TCP connection to Docker containers.
oracle18c_service: ...
Returns:
Async SQLAlchemy engine instance.
"""
yield create_async_engine(
"oracle+oracledb://:@",
thick_mode=False,
connect_args={
"user": "app",
"password": "super-secret",
"host": docker_ip,
"port": 1512,
"service_name": "xepdb1",
},
poolclass=NullPool,
)
@pytest.fixture()
async def oracle23c_async_engine(docker_ip: str, oracle23c_service: None) -> AsyncGenerator[AsyncEngine, None]:
"""Oracle 23c instance for end-to-end testing.
Args:
docker_ip: IP address for TCP connection to Docker containers.
oracle23c_service: ...
Returns:
Async SQLAlchemy engine instance.
"""
yield create_async_engine(
"oracle+oracledb://:@",
thick_mode=False,
connect_args={
"user": "app",
"password": "super-secret",
"host": docker_ip,
"port": 1513,
"service_name": "FREEPDB1",
},
poolclass=NullPool,
)
@pytest.fixture()
async def mock_async_engine() -> AsyncGenerator[NonCallableMagicMock, None]:
"""Return a mocked AsyncEngine instance."""
mock = cast(NonCallableMagicMock, create_autospec(AsyncEngine, instance=True))
mock.dialect = create_autospec(Dialect, instance=True)
mock.dialect.name = "mock"
yield mock
@pytest.fixture(
name="async_engine",
params=[
pytest.param(
"aiosqlite_engine",
marks=[
pytest.mark.aiosqlite,
pytest.mark.integration,
pytest.mark.xdist_group("sqlite"),
],
),
pytest.param(
"asyncmy_engine",
marks=[
pytest.mark.asyncmy,
pytest.mark.integration,
pytest.mark.xdist_group("mysql"),
],
),
pytest.param(
"asyncpg_engine",
marks=[
pytest.mark.asyncpg,
pytest.mark.integration,
pytest.mark.xdist_group("postgres"),
],
),
pytest.param(
"psycopg_async_engine",
marks=[
pytest.mark.psycopg_async,
pytest.mark.integration,
pytest.mark.xdist_group("postgres"),
],
),
pytest.param(
"cockroachdb_async_engine",
marks=[
pytest.mark.cockroachdb_async,
pytest.mark.integration,
pytest.mark.xdist_group("cockroachdb"),
],
),
pytest.param(
"mssql_async_engine",
marks=[
pytest.mark.mssql_async,
pytest.mark.integration,
pytest.mark.xdist_group("mssql"),
],
),
pytest.param(
"oracle18c_async_engine",
marks=[
pytest.mark.oracledb_async,
pytest.mark.integration,
pytest.mark.xdist_group("oracle18"),
],
),
pytest.param(
"oracle23c_async_engine",
marks=[
pytest.mark.oracledb_async,
pytest.mark.integration,
pytest.mark.xdist_group("oracle23"),
],
),
pytest.param(
"mock_async_engine",
marks=[
pytest.mark.mock_async,
pytest.mark.integration,
pytest.mark.xdist_group("mock"),
],
),
],
)
async def async_engine(request: FixtureRequest) -> AsyncGenerator[AsyncEngine, None]:
yield cast(AsyncEngine, request.getfixturevalue(request.param))
@pytest.fixture()
async def async_session(
async_engine: AsyncEngine,
request: FixtureRequest,
) -> AsyncGenerator[AsyncSession, None]:
if "mock_async_engine" in request.fixturenames:
session = create_autospec(AsyncSession, instance=True)
session.bind = async_engine
yield session
else:
session = async_sessionmaker(bind=async_engine, expire_on_commit=False)()
try:
yield session
finally:
await session.rollback()
await session.close()
# @pytest.fixture()
# async def sync_sqlalchemy_config(engine: Engine, session_maker: sessionmaker[Session]) -> SQLAlchemySyncConfig:
#
#
# @pytest.fixture()
# async def async_sqlalchemy_config(
# async_engine: AsyncEngine,
# async_session_maker: async_sessionmaker[AsyncSession],
# ) -> SQLAlchemyAsyncConfig:
#
#
# @pytest.fixture()
# async def sync_alembic_commands(sync_sqlalchemy_config: SQLAlchemySyncConfig) -> commands.AlembicCommands:
#
#
# @pytest.fixture()
# async def async_alembic_commands(async_sqlalchemy_config: SQLAlchemyAsyncConfig) -> commands.AlembicCommands:
#
#
# @pytest.fixture(params=["sync_alembic_commands", "async_alembic_commands"], autouse=True)
# def alembic_commands(request: FixtureRequest) -> commands.AlembicCommands:
python-advanced-alchemy-0.34.0/tests/integration/helpers.py 0000664 0000000 0000000 00000001736 14763441450 0024022 0 ustar 00root root 0000000 0000000 from __future__ import annotations
import datetime
from typing import Any
def update_raw_records(raw_authors: list[dict[str, Any]], raw_rules: list[dict[str, Any]]) -> None:
for raw_author in raw_authors:
raw_author["dob"] = datetime.datetime.strptime(raw_author["dob"], "%Y-%m-%d").date()
raw_author["created_at"] = datetime.datetime.strptime(raw_author["created_at"], "%Y-%m-%dT%H:%M:%S").astimezone(
datetime.timezone.utc,
)
raw_author["updated_at"] = datetime.datetime.strptime(raw_author["updated_at"], "%Y-%m-%dT%H:%M:%S").astimezone(
datetime.timezone.utc,
)
for raw_rule in raw_rules:
raw_rule["created_at"] = datetime.datetime.strptime(raw_rule["created_at"], "%Y-%m-%dT%H:%M:%S").astimezone(
datetime.timezone.utc
)
raw_rule["updated_at"] = datetime.datetime.strptime(raw_rule["updated_at"], "%Y-%m-%dT%H:%M:%S").astimezone(
datetime.timezone.utc
)
python-advanced-alchemy-0.34.0/tests/integration/test_alembic_commands.py 0000664 0000000 0000000 00000024710 14763441450 0026671 0 ustar 00root root 0000000 0000000 from __future__ import annotations
from collections.abc import Generator
from pathlib import Path
from typing import cast
from uuid import UUID
import pytest
from _pytest.monkeypatch import MonkeyPatch
from pytest import CaptureFixture, FixtureRequest
from pytest_lazy_fixtures import lf
from sqlalchemy import Engine, ForeignKey, String
from sqlalchemy.ext.asyncio import AsyncEngine, async_sessionmaker
from sqlalchemy.orm import Mapped, mapped_column, relationship, sessionmaker
from advanced_alchemy import base
from advanced_alchemy.alembic import commands
from advanced_alchemy.alembic.utils import drop_all, dump_tables
from advanced_alchemy.extensions.litestar import SQLAlchemyAsyncConfig, SQLAlchemySyncConfig
from alembic.util.exc import CommandError
from tests.fixtures.uuid import models as models_uuid
from tests.helpers import maybe_async
AuthorModel = type[models_uuid.UUIDAuthor]
RuleModel = type[models_uuid.UUIDRule]
ModelWithFetchedValue = type[models_uuid.UUIDModelWithFetchedValue]
ItemModel = type[models_uuid.UUIDItem]
TagModel = type[models_uuid.UUIDTag]
pytestmark = [
pytest.mark.integration,
]
@pytest.fixture(
params=[
pytest.param(
"sqlite_engine",
marks=[
pytest.mark.sqlite,
pytest.mark.integration,
],
),
pytest.param(
"duckdb_engine",
marks=[
pytest.mark.duckdb,
pytest.mark.integration,
pytest.mark.xdist_group("duckdb"),
],
),
pytest.param(
"oracle18c_engine",
marks=[
pytest.mark.oracledb_sync,
pytest.mark.integration,
pytest.mark.xdist_group("oracle18"),
],
),
pytest.param(
"oracle23c_engine",
marks=[
pytest.mark.oracledb_sync,
pytest.mark.integration,
pytest.mark.xdist_group("oracle23"),
],
),
pytest.param(
"psycopg_engine",
marks=[
pytest.mark.psycopg_sync,
pytest.mark.integration,
pytest.mark.xdist_group("postgres"),
],
),
pytest.param(
"spanner_engine",
marks=[
pytest.mark.spanner,
pytest.mark.integration,
pytest.mark.xdist_group("spanner"),
],
),
pytest.param(
"mssql_engine",
marks=[
pytest.mark.mssql_sync,
pytest.mark.integration,
pytest.mark.xdist_group("mssql"),
],
),
pytest.param(
"cockroachdb_engine",
marks=[
pytest.mark.cockroachdb_sync,
pytest.mark.integration,
pytest.mark.xdist_group("cockroachdb"),
],
),
],
)
def sync_sqlalchemy_config(request: FixtureRequest) -> Generator[SQLAlchemySyncConfig, None, None]:
engine = cast(Engine, request.getfixturevalue(request.param))
orm_registry = base.create_registry()
yield SQLAlchemySyncConfig(
engine_instance=engine,
session_maker=sessionmaker(bind=engine, expire_on_commit=False),
metadata=orm_registry.metadata,
)
@pytest.fixture(
params=[
pytest.param(
"aiosqlite_engine",
marks=[
pytest.mark.aiosqlite,
pytest.mark.integration,
],
),
pytest.param(
"asyncmy_engine",
marks=[
pytest.mark.asyncmy,
pytest.mark.integration,
pytest.mark.xdist_group("mysql"),
],
),
pytest.param(
"asyncpg_engine",
marks=[
pytest.mark.asyncpg,
pytest.mark.integration,
pytest.mark.xdist_group("postgres"),
],
),
pytest.param(
"psycopg_async_engine",
marks=[
pytest.mark.psycopg_async,
pytest.mark.integration,
pytest.mark.xdist_group("postgres"),
],
),
pytest.param(
"cockroachdb_async_engine",
marks=[
pytest.mark.cockroachdb_async,
pytest.mark.integration,
pytest.mark.xdist_group("cockroachdb"),
],
),
pytest.param(
"oracle18c_async_engine",
marks=[
pytest.mark.oracledb_async,
pytest.mark.integration,
pytest.mark.xdist_group("oracle18"),
],
),
pytest.param(
"oracle23c_async_engine",
marks=[
pytest.mark.oracledb_async,
pytest.mark.integration,
pytest.mark.xdist_group("oracle23"),
],
),
pytest.param(
"mssql_async_engine",
marks=[
pytest.mark.mssql_async,
pytest.mark.integration,
pytest.mark.xdist_group("mssql"),
],
),
],
)
def async_sqlalchemy_config(
request: FixtureRequest,
) -> Generator[SQLAlchemyAsyncConfig, None, None]:
async_engine = cast(AsyncEngine, request.getfixturevalue(request.param))
orm_registry = base.create_registry()
yield SQLAlchemyAsyncConfig(
engine_instance=async_engine,
session_maker=async_sessionmaker(bind=async_engine, expire_on_commit=False),
metadata=orm_registry.metadata,
)
@pytest.fixture(
params=[lf("sync_sqlalchemy_config"), lf("async_sqlalchemy_config")],
ids=["sync", "async"],
)
def any_config(request: FixtureRequest) -> Generator[SQLAlchemySyncConfig | SQLAlchemyAsyncConfig, None, None]:
"""Return a session for the current session"""
if isinstance(request.param, SQLAlchemyAsyncConfig):
request.getfixturevalue("async_sqlalchemy_config")
else:
request.getfixturevalue("sync_sqlalchemy_config")
yield request.param # type: ignore[no-any-return]
@pytest.fixture()
def alembic_commands(
any_config: SQLAlchemySyncConfig | SQLAlchemyAsyncConfig,
) -> Generator[commands.AlembicCommands, None, None]:
yield commands.AlembicCommands(
sqlalchemy_config=any_config,
)
@pytest.fixture
def tmp_project_dir(monkeypatch: MonkeyPatch, tmp_path: Path) -> Generator[Path, None, None]:
path = tmp_path / "project_dir"
path.mkdir(exist_ok=True)
monkeypatch.chdir(path)
yield path
async def test_alembic_init(alembic_commands: commands.AlembicCommands, tmp_project_dir: Path) -> None:
alembic_commands.init(directory=f"{tmp_project_dir}/migrations/")
expected_dirs = [f"{tmp_project_dir}/migrations/", f"{tmp_project_dir}/migrations/versions"]
expected_files = [f"{tmp_project_dir}/migrations/env.py", f"{tmp_project_dir}/migrations/script.py.mako"]
for dir in expected_dirs:
assert Path(dir).is_dir()
for file in expected_files:
assert Path(file).is_file()
async def test_alembic_init_already(alembic_commands: commands.AlembicCommands, tmp_project_dir: Path) -> None:
alembic_commands.init(directory=f"{tmp_project_dir}/migrations/")
expected_dirs = [f"{tmp_project_dir}/migrations/", f"{tmp_project_dir}/migrations/versions"]
expected_files = [f"{tmp_project_dir}/migrations/env.py", f"{tmp_project_dir}/migrations/script.py.mako"]
for dir in expected_dirs:
assert Path(dir).is_dir()
for file in expected_files:
assert Path(file).is_file()
with pytest.raises(CommandError):
alembic_commands.init(directory=f"{tmp_project_dir}/migrations/")
async def test_drop_all(
alembic_commands: commands.AlembicCommands,
any_config: SQLAlchemySyncConfig | SQLAlchemyAsyncConfig,
capfd: CaptureFixture[str],
) -> None:
from examples.litestar.litestar_repo_only import app
await maybe_async(any_config.create_all_metadata(app))
if isinstance(any_config, SQLAlchemySyncConfig):
assert any_config.metadata
any_config.metadata.create_all(any_config.get_engine())
else:
async with any_config.get_engine().begin() as conn:
assert any_config.metadata
await conn.run_sync(any_config.metadata.create_all)
await drop_all(
alembic_commands.config.engine,
alembic_commands.config.version_table_name,
base.metadata_registry.get(alembic_commands.config.bind_key),
)
result = capfd.readouterr()
assert "Successfully dropped all objects" in result.out
async def test_dump_tables(
any_config: SQLAlchemySyncConfig | SQLAlchemyAsyncConfig,
capfd: CaptureFixture[str],
tmp_project_dir: Path,
) -> None:
from sqlalchemy.orm import DeclarativeBase
from advanced_alchemy import base, mixins
class _UUIDAuditBase(base.CommonTableAttributes, mixins.UUIDPrimaryKey, DeclarativeBase):
registry = base.create_registry()
class TestAuthorModel(_UUIDAuditBase):
name: Mapped[str] = mapped_column(String(10))
class TestBookModel(_UUIDAuditBase):
title: Mapped[str] = mapped_column(String(10))
author_id: Mapped[UUID] = mapped_column(ForeignKey("test_author_model.id"))
TestBookModel.author = relationship(TestAuthorModel, lazy="joined", innerjoin=True, viewonly=True)
TestAuthorModel.books = relationship(TestBookModel, back_populates="author", lazy="noload", uselist=True)
if isinstance(any_config, SQLAlchemySyncConfig):
TestBookModel.metadata.create_all(any_config.get_engine())
else:
async with any_config.get_engine().begin() as conn:
await conn.run_sync(TestBookModel.metadata.create_all)
await dump_tables(
tmp_project_dir,
any_config.get_session(),
[TestAuthorModel, TestBookModel],
)
result = capfd.readouterr()
assert "Dumping table 'test_author_model'" in result.out
assert "Dumping table 'test_book_model" in result.out
"""
async def test_alembic_revision(alembic_commands: commands.AlembicCommands, tmp_project_dir: Path) -> None:
alembic_commands.init(directory=f"{tmp_project_dir}/migrations/")
alembic_commands.revision(message="test", autogenerate=True)
async def test_alembic_upgrade(alembic_commands: commands.AlembicCommands, tmp_project_dir: Path) -> None:
alembic_commands.init(directory=f"{tmp_project_dir}/migrations/")
alembic_commands.revision(message="test", autogenerate=True)
alembic_commands.upgrade(revision="head")
"""
python-advanced-alchemy-0.34.0/tests/integration/test_association_proxy.py 0000664 0000000 0000000 00000013366 14763441450 0027176 0 ustar 00root root 0000000 0000000 from __future__ import annotations
from pathlib import Path
from typing import TYPE_CHECKING
import pytest
from sqlalchemy import Column, ForeignKey, String, Table, create_engine, select
from sqlalchemy.ext.associationproxy import AssociationProxy, association_proxy
from sqlalchemy.ext.asyncio import AsyncSession, async_sessionmaker, create_async_engine
from sqlalchemy.orm import Mapped, Session, mapped_column, relationship, sessionmaker
if TYPE_CHECKING:
from pytest import MonkeyPatch
@pytest.mark.xdist_group("loader")
def test_ap_sync(monkeypatch: MonkeyPatch, tmp_path: Path) -> None:
from sqlalchemy.orm import DeclarativeBase
from advanced_alchemy import base, mixins
orm_registry = base.create_registry()
class NewUUIDBase(mixins.UUIDPrimaryKey, base.CommonTableAttributes, DeclarativeBase):
registry = orm_registry
monkeypatch.setattr(base, "UUIDBase", NewUUIDBase)
product_tag_table = Table(
"product_tag",
orm_registry.metadata,
Column("product_id", ForeignKey("product.id", ondelete="CASCADE"), primary_key=True), # pyright: ignore[reportUnknownArgumentType]
Column("tag_id", ForeignKey("tag.id", ondelete="CASCADE"), primary_key=True), # pyright: ignore[reportUnknownArgumentType]
)
class Tag(NewUUIDBase):
name: Mapped[str] = mapped_column(index=True)
products: Mapped[list[Product]] = relationship(
secondary=lambda: product_tag_table,
back_populates="product_tags",
cascade="all, delete",
passive_deletes=True,
lazy="noload",
)
class Product(NewUUIDBase):
name: Mapped[str] = mapped_column(String(length=50)) # pyright: ignore
product_tags: Mapped[list[Tag]] = relationship(
secondary=lambda: product_tag_table,
back_populates="products",
cascade="all, delete",
passive_deletes=True,
lazy="joined",
)
tags: AssociationProxy[list[str]] = association_proxy(
"product_tags",
"name",
creator=lambda name: Tag(name=name), # pyright: ignore[reportUnknownArgumentType,reportUnknownLambdaType]
)
engine = create_engine(f"sqlite:///{tmp_path}/test.sqlite1.db", echo=True)
session_factory: sessionmaker[Session] = sessionmaker(engine, expire_on_commit=False)
with engine.begin() as conn:
Product.metadata.create_all(conn)
with session_factory() as db_session:
product_1 = Product(name="Product 1", tags=["a new tag", "second tag"])
db_session.add(product_1)
tags = db_session.execute(select(Tag)).unique().fetchall()
assert len(tags) == 2
product_2 = Product(name="Product 2", tags=["third tag"])
db_session.add(product_2)
tags = db_session.execute(select(Tag)).unique().fetchall()
assert len(tags) == 3
product_2.tags = []
db_session.add(product_2)
_product_2_validate = db_session.execute(select(Product).where(Product.name == "Product 2")).unique().fetchone()
assert _product_2_validate
tags_2 = db_session.execute(select(Tag)).unique().fetchall()
assert len(_product_2_validate[0].product_tags) == 0
assert len(tags_2) == 3
# add more assertions
@pytest.mark.xdist_group("loader")
async def test_ap_async(monkeypatch: MonkeyPatch, tmp_path: Path) -> None:
from sqlalchemy.orm import DeclarativeBase
from advanced_alchemy import base, mixins
orm_registry = base.create_registry()
class NewUUIDBase(mixins.UUIDPrimaryKey, base.CommonTableAttributes, DeclarativeBase):
registry = orm_registry
monkeypatch.setattr(base, "UUIDBase", NewUUIDBase)
product_tag_table = Table(
"product_tag",
orm_registry.metadata,
Column("product_id", ForeignKey("product.id", ondelete="CASCADE"), primary_key=True), # pyright: ignore[reportUnknownArgumentType]
Column("tag_id", ForeignKey("tag.id", ondelete="CASCADE"), primary_key=True), # pyright: ignore[reportUnknownArgumentType]
)
class Tag(NewUUIDBase):
name: Mapped[str] = mapped_column(index=True)
products: Mapped[list[Product]] = relationship(
secondary=lambda: product_tag_table,
back_populates="product_tags",
cascade="all, delete",
passive_deletes=True,
lazy="noload",
)
class Product(NewUUIDBase):
name: Mapped[str] = mapped_column(String(length=50)) # pyright: ignore
product_tags: Mapped[list[Tag]] = relationship(
secondary=lambda: product_tag_table,
back_populates="products",
cascade="all, delete",
passive_deletes=True,
lazy="joined",
)
tags: AssociationProxy[list[str]] = association_proxy(
"product_tags",
"name",
creator=lambda name: Tag(name=name), # pyright: ignore[reportUnknownArgumentType,reportUnknownLambdaType]
)
engine = create_async_engine(f"sqlite+aiosqlite:///{tmp_path}/test.sqlite2.db", echo=True)
session_factory: async_sessionmaker[AsyncSession] = async_sessionmaker(engine, expire_on_commit=False)
async with engine.begin() as conn:
await conn.run_sync(Tag.metadata.create_all)
async with session_factory() as db_session:
product_1 = Product(name="Product 1 async", tags=["a new tag", "second tag"])
db_session.add(product_1)
tags = await db_session.execute(select(Tag))
assert len(tags.unique().fetchall()) == 2
product_2 = Product(name="Product 2 async", tags=["third tag"])
db_session.add(product_2)
tags = await db_session.execute(select(Tag))
assert len(tags.unique().fetchall()) == 3
# add more assertions
python-advanced-alchemy-0.34.0/tests/integration/test_loader_and_execution_options.py 0000664 0000000 0000000 00000037560 14763441450 0031351 0 ustar 00root root 0000000 0000000 from __future__ import annotations
from pathlib import Path
from typing import TYPE_CHECKING
from uuid import UUID
import pytest
from sqlalchemy import ForeignKey, String, create_engine
from sqlalchemy.ext.asyncio import AsyncSession, async_sessionmaker, create_async_engine
from sqlalchemy.orm import Mapped, Session, mapped_column, noload, relationship, selectinload, sessionmaker
from advanced_alchemy.base import BigIntBase, UUIDBase
from advanced_alchemy.repository import SQLAlchemyAsyncRepository, SQLAlchemySyncRepository
if TYPE_CHECKING:
from pytest import MonkeyPatch
@pytest.mark.xdist_group("loader")
def test_loader(monkeypatch: MonkeyPatch, tmp_path: Path) -> None:
from advanced_alchemy import base, mixins
orm_registry = base.create_registry()
class NewUUIDBase(mixins.UUIDPrimaryKey, base.CommonTableAttributes, base.AdvancedDeclarativeBase):
__abstract__ = True
registry = orm_registry
class NewBigIntBase(mixins.BigIntPrimaryKey, base.CommonTableAttributes, base.AdvancedDeclarativeBase):
__abstract__ = True
registry = orm_registry
monkeypatch.setattr(base, "UUIDBase", NewUUIDBase)
monkeypatch.setattr(base, "BigIntBase", NewBigIntBase)
class UUIDCountry(UUIDBase):
name: Mapped[str] = mapped_column(String(length=50)) # pyright: ignore
states: Mapped[list[UUIDState]] = relationship(back_populates="country", uselist=True, lazy="noload")
class UUIDState(UUIDBase):
name: Mapped[str] = mapped_column(String(length=50)) # pyright: ignore
country_id: Mapped[UUID] = mapped_column(ForeignKey(UUIDCountry.id))
country: Mapped[UUIDCountry] = relationship(uselist=False, back_populates="states", lazy="raise")
class USStateRepository(SQLAlchemySyncRepository[UUIDState]):
model_type = UUIDState
class CountryRepository(SQLAlchemySyncRepository[UUIDCountry]):
model_type = UUIDCountry
engine = create_engine(f"sqlite:///{tmp_path}/test.sqlite1.db", echo=True)
session_factory: sessionmaker[Session] = sessionmaker(engine, expire_on_commit=False)
with engine.begin() as conn:
UUIDState.metadata.create_all(conn)
with session_factory() as db_session:
usa = UUIDCountry(name="United States of America")
france = UUIDCountry(name="France")
db_session.add(usa)
db_session.add(france)
california = UUIDState(name="California", country=usa)
oregon = UUIDState(name="Oregon", country=usa)
ile_de_france = UUIDState(name="รle-de-France", country=france)
repo = USStateRepository(session=db_session)
repo.add(california)
repo.add(oregon)
repo.add(ile_de_france)
db_session.commit()
db_session.expire_all()
si1_country_repo = CountryRepository(session=db_session, load=[noload(UUIDCountry.states)])
usa_country_1 = si1_country_repo.get_one(
name="United States of America",
)
assert len(usa_country_1.states) == 0
si0_country_repo = CountryRepository(session=db_session)
db_session.expire_all()
usa_country_0 = si0_country_repo.get_one(
name="United States of America",
load=UUIDCountry.states,
execution_options={"populate_existing": True},
)
assert len(usa_country_0.states) == 2
db_session.expire_all()
si2_country_repo = CountryRepository(session=db_session, load=[selectinload(UUIDCountry.states)])
usa_country_2 = si2_country_repo.get_one(name="United States of America")
assert len(usa_country_2.states) == 2
db_session.expire_all()
ia_repo = USStateRepository(session=db_session, load=UUIDState.country)
string_california = ia_repo.get_one(name="California")
assert string_california.name == "California"
db_session.expire_all()
star_repo = USStateRepository(session=db_session, load="*")
star_california = star_repo.get_one(name="California")
assert star_california.country.name == "United States of America"
db_session.expire_all()
star_country_repo = CountryRepository(session=db_session, load="*")
usa_country_3 = star_country_repo.get_one(name="United States of America")
assert len(usa_country_3.states) == 2
db_session.expunge_all()
db_session.expire_all()
si1_country_repo = CountryRepository(session=db_session)
usa_country_1 = si1_country_repo.get_one(
name="United States of America",
load=[noload(UUIDCountry.states)],
)
assert len(usa_country_1.states) == 0
si0_country_repo = CountryRepository(session=db_session)
db_session.expire_all()
@pytest.mark.xdist_group("loader")
async def test_async_loader(monkeypatch: MonkeyPatch, tmp_path: Path) -> None:
from advanced_alchemy import base, mixins
orm_registry = base.create_registry()
class NewUUIDBase(mixins.UUIDPrimaryKey, base.CommonTableAttributes, base.AdvancedDeclarativeBase):
__abstract__ = True
registry = orm_registry
class NewBigIntBase(mixins.BigIntPrimaryKey, base.CommonTableAttributes, base.AdvancedDeclarativeBase):
__abstract__ = True
registry = orm_registry
monkeypatch.setattr(base, "UUIDBase", NewUUIDBase)
monkeypatch.setattr(base, "BigIntBase", NewBigIntBase)
class BigIntCountry(BigIntBase):
name: Mapped[str] = mapped_column(String(length=50)) # pyright: ignore
states: Mapped[list[BigIntState]] = relationship(back_populates="country", uselist=True)
class BigIntState(BigIntBase):
name: Mapped[str] = mapped_column(String(length=50)) # pyright: ignore
country_id: Mapped[int] = mapped_column(ForeignKey(BigIntCountry.id))
country: Mapped[BigIntCountry] = relationship(uselist=False, back_populates="states", lazy="raise")
class USStateRepository(SQLAlchemyAsyncRepository[BigIntState]):
model_type = BigIntState
class CountryRepository(SQLAlchemyAsyncRepository[BigIntCountry]):
model_type = BigIntCountry
engine = create_async_engine(f"sqlite+aiosqlite:///{tmp_path}/test.sqlite2.db", echo=True)
session_factory: async_sessionmaker[AsyncSession] = async_sessionmaker(engine, expire_on_commit=False)
async with engine.begin() as conn:
await conn.run_sync(BigIntState.metadata.create_all)
async with session_factory() as db_session:
usa = BigIntCountry(name="United States of America")
france = BigIntCountry(name="France")
db_session.add(usa)
db_session.add(france)
california = BigIntState(name="California", country=usa)
oregon = BigIntState(name="Oregon", country=usa)
ile_de_france = BigIntState(name="รle-de-France", country=france)
repo = USStateRepository(session=db_session)
await repo.add(california)
await repo.add(oregon)
await repo.add(ile_de_france)
await db_session.commit()
db_session.expire_all()
si1_country_repo = CountryRepository(session=db_session, load=[noload(BigIntCountry.states)])
usa_country_21 = await si1_country_repo.get_one(
name="United States of America",
)
assert len(usa_country_21.states) == 0
db_session.expire_all()
si0_country_repo = CountryRepository(session=db_session)
usa_country_0 = await si0_country_repo.get_one(
name="United States of America",
load=BigIntCountry.states,
execution_options={"populate_existing": True},
)
assert len(usa_country_0.states) == 2
db_session.expire_all()
country_repo = CountryRepository(session=db_session)
usa_country_1 = await country_repo.get_one(
name="United States of America",
load=[selectinload(BigIntCountry.states)],
)
assert len(usa_country_1.states) == 2
db_session.expire_all()
si_country_repo = CountryRepository(session=db_session, load=[selectinload(BigIntCountry.states)])
usa_country_02 = await si_country_repo.get_one(name="United States of America")
assert len(usa_country_02.states) == 2
db_session.expire_all()
ia_repo = USStateRepository(session=db_session, load=BigIntState.country)
string_california = await ia_repo.get_one(name="California")
assert string_california.name == "California"
db_session.expire_all()
star_repo = USStateRepository(session=db_session, load="*")
star_california = await star_repo.get_one(name="California")
assert star_california.country.name == "United States of America"
db_session.expire_all()
star_country_repo = CountryRepository(session=db_session, load="*")
usa_country_3 = await star_country_repo.get_one(name="United States of America")
assert len(usa_country_3.states) == 2
db_session.expire_all()
@pytest.mark.xdist_group("loader")
def test_default_overrides_loader(monkeypatch: MonkeyPatch, tmp_path: Path) -> None:
from advanced_alchemy import base, mixins
orm_registry = base.create_registry()
class NewUUIDBase(mixins.UUIDPrimaryKey, base.CommonTableAttributes, base.AdvancedDeclarativeBase):
__abstract__ = True
registry = orm_registry
class NewBigIntBase(mixins.BigIntPrimaryKey, base.CommonTableAttributes, base.AdvancedDeclarativeBase):
__abstract__ = True
registry = orm_registry
monkeypatch.setattr(base, "UUIDBase", NewUUIDBase)
monkeypatch.setattr(base, "BigIntBase", NewBigIntBase)
class UUIDCountryTest(UUIDBase):
name: Mapped[str] = mapped_column(String(length=50)) # pyright: ignore
states: Mapped[list[UUIDStateTest]] = relationship(back_populates="country", uselist=True, lazy="selectin")
class UUIDStateTest(UUIDBase):
name: Mapped[str] = mapped_column(String(length=50)) # pyright: ignore
country_id: Mapped[UUID] = mapped_column(ForeignKey(UUIDCountryTest.id))
country: Mapped[UUIDCountryTest] = relationship(uselist=False, back_populates="states", lazy="noload")
class USStateRepository(SQLAlchemySyncRepository[UUIDStateTest]):
model_type = UUIDStateTest
merge_loader_options = False
loader_options = [noload(UUIDStateTest.country)]
class CountryRepository(SQLAlchemySyncRepository[UUIDCountryTest]):
inherit_lazy_relationships = False
model_type = UUIDCountryTest
engine = create_engine(f"sqlite:///{tmp_path}/test_loader.sqlite.db", echo=True)
session_factory: sessionmaker[Session] = sessionmaker(engine, expire_on_commit=False)
with engine.begin() as conn:
UUIDStateTest.metadata.create_all(conn)
with session_factory() as db_session:
usa = UUIDCountryTest(name="United States of America")
france = UUIDCountryTest(name="France")
db_session.add(usa)
db_session.add(france)
california = UUIDStateTest(name="California", country=usa)
oregon = UUIDStateTest(name="Oregon", country=usa)
ile_de_france = UUIDStateTest(name="รle-de-France", country=france)
repo = USStateRepository(session=db_session)
repo.add(california)
repo.add(oregon)
repo.add(ile_de_france)
db_session.commit()
db_session.expire_all()
si1_country_repo = CountryRepository(session=db_session)
usa_country_1 = si1_country_repo.get_one(
name="United States of America",
)
assert len(usa_country_1.states) == 2
usa_country_2 = si1_country_repo.get_one(
name="United States of America",
load="*",
execution_options={"populate_existing": True},
)
assert len(usa_country_2.states) == 2
@pytest.mark.xdist_group("loader")
async def test_default_overrides_async_loader(monkeypatch: MonkeyPatch, tmp_path: Path) -> None:
from advanced_alchemy import base, mixins
orm_registry = base.create_registry()
class NewUUIDBase(mixins.UUIDPrimaryKey, base.CommonTableAttributes, base.AdvancedDeclarativeBase):
registry = orm_registry
class NewBigIntBase(mixins.BigIntPrimaryKey, base.CommonTableAttributes, base.AdvancedDeclarativeBase):
registry = orm_registry
monkeypatch.setattr(base, "UUIDBase", NewUUIDBase)
monkeypatch.setattr(base, "BigIntBase", NewBigIntBase)
class BigIntCountryTest(BigIntBase):
name: Mapped[str] = mapped_column(String(length=50)) # pyright: ignore
states: Mapped[list[BigIntStateTest]] = relationship(back_populates="country", uselist=True, lazy="selectin")
notes: Mapped[list[BigIntCountryNote]] = relationship(back_populates="country", uselist=True, lazy="selectin")
class BigIntCountryNote(BigIntBase):
name: Mapped[str] = mapped_column(String(length=50)) # pyright: ignore
country_id: Mapped[int] = mapped_column(ForeignKey(BigIntCountryTest.id))
country: Mapped[BigIntCountryTest] = relationship(uselist=False, back_populates="notes", lazy="raise")
class BigIntStateTest(BigIntBase):
name: Mapped[str] = mapped_column(String(length=50)) # pyright: ignore
country_id: Mapped[int] = mapped_column(ForeignKey(BigIntCountryTest.id))
country: Mapped[BigIntCountryTest] = relationship(uselist=False, back_populates="states", lazy="raise")
class USStateRepository(SQLAlchemyAsyncRepository[BigIntStateTest]):
model_type = BigIntStateTest
class CountryRepository(SQLAlchemyAsyncRepository[BigIntCountryTest]):
model_type = BigIntCountryTest
merge_loader_options = False
loader_options = [noload(BigIntCountryTest.states), noload(BigIntCountryTest.notes)]
engine = create_async_engine(f"sqlite+aiosqlite:///{tmp_path}/test_loader.sqlite2.db", echo=True)
session_factory: async_sessionmaker[AsyncSession] = async_sessionmaker(engine, expire_on_commit=False)
async with engine.begin() as conn:
await conn.run_sync(BigIntStateTest.metadata.create_all)
async with session_factory() as db_session:
usa = BigIntCountryTest(name="United States of America")
usa.notes.append(BigIntCountryNote(name="Note 1"))
france = BigIntCountryTest(name="France")
db_session.add(usa)
db_session.add(france)
california = BigIntStateTest(name="California", country=usa)
oregon = BigIntStateTest(name="Oregon", country=usa)
ile_de_france = BigIntStateTest(name="รle-de-France", country=france)
repo = USStateRepository(session=db_session)
await repo.add(california)
await repo.add(oregon)
await repo.add(ile_de_france)
await db_session.commit()
db_session.expire_all()
si1_country_repo = CountryRepository(session=db_session, load=[noload(BigIntCountryTest.states)])
usa_country_21 = await si1_country_repo.get_one(
name="United States of America",
)
assert len(usa_country_21.states) == 0
db_session.expire_all()
si0_country_repo = CountryRepository(session=db_session)
usa_country_0 = await si0_country_repo.get_one(
name="United States of America",
load=BigIntCountryTest.states,
execution_options={"populate_existing": True},
)
assert len(usa_country_0.states) == 2
db_session.expire_all()
country_repo = CountryRepository(session=db_session)
usa_country_1 = await country_repo.get_one(
name="United States of America",
load=[selectinload(BigIntCountryTest.states)],
)
assert len(usa_country_1.states) == 2
db_session.expire_all()
si_country_repo = CountryRepository(session=db_session, load=[noload(BigIntCountryTest.notes)])
usa_country_02 = await si_country_repo.get_one(
name="United States of America", load=[selectinload(BigIntCountryTest.states)]
)
assert len(usa_country_02.notes) == 1
db_session.expire_all()
python-advanced-alchemy-0.34.0/tests/integration/test_oracledb_json.py 0000664 0000000 0000000 00000002415 14763441450 0026216 0 ustar 00root root 0000000 0000000 """Unit tests for the SQLAlchemy Repository implementation for psycopg."""
from __future__ import annotations
import platform
from typing import TYPE_CHECKING
import pytest
from sqlalchemy.dialects import oracle
from sqlalchemy.schema import CreateTable
from tests.fixtures.uuid.models import UUIDEventLog
if TYPE_CHECKING:
from sqlalchemy import Engine
pytestmark = [
pytest.mark.skipif(platform.uname()[4] != "x86_64", reason="oracle not available on this platform"),
pytest.mark.integration,
]
@pytest.mark.xdist_group("oracle18")
def test_18c_json_constraint_generation(oracle18c_engine: Engine) -> None:
ddl = str(CreateTable(UUIDEventLog.__table__).compile(oracle18c_engine, dialect=oracle.dialect())) # type: ignore
assert "BLOB" in ddl.upper()
assert "JSON" in ddl.upper()
with oracle18c_engine.begin() as conn:
UUIDEventLog.metadata.create_all(conn)
@pytest.mark.xdist_group("oracle23")
def test_23c_json_constraint_generation(oracle23c_engine: Engine) -> None:
ddl = str(CreateTable(UUIDEventLog.__table__).compile(oracle23c_engine, dialect=oracle.dialect())) # type: ignore
assert "BLOB" in ddl.upper()
assert "JSON" in ddl.upper()
with oracle23c_engine.begin() as conn:
UUIDEventLog.metadata.create_all(conn)
python-advanced-alchemy-0.34.0/tests/integration/test_repository.py 0000664 0000000 0000000 00000313115 14763441450 0025633 0 ustar 00root root 0000000 0000000 # ruff: noqa: UP031
"""Unit tests for the SQLAlchemy Repository implementation."""
from __future__ import annotations
import asyncio
import contextlib
import datetime
import os
from collections.abc import AsyncGenerator, Generator, Iterator
from typing import TYPE_CHECKING, Any, Literal, Union, cast
from unittest.mock import NonCallableMagicMock
from uuid import UUID, uuid4
import pytest
from msgspec import Struct
from pydantic import BaseModel
from pytest_lazy_fixtures import lf
from sqlalchemy import Engine, Table, and_, insert, select, text
from sqlalchemy.ext.asyncio import AsyncEngine, AsyncSession
from sqlalchemy.orm import Session, sessionmaker
from time_machine import travel
from advanced_alchemy import base
from advanced_alchemy.exceptions import IntegrityError, NotFoundError, RepositoryError
from advanced_alchemy.filters import (
BeforeAfter,
CollectionFilter,
NotInCollectionFilter,
NotInSearchFilter,
OnBeforeAfter,
OrderBy,
SearchFilter,
)
from advanced_alchemy.repository import SQLAlchemyAsyncRepository, SQLAlchemyAsyncSlugRepository
from advanced_alchemy.repository._util import get_instrumented_attr, model_from_dict
from advanced_alchemy.repository.memory import (
SQLAlchemyAsyncMockRepository,
SQLAlchemyAsyncMockSlugRepository,
SQLAlchemySyncMockRepository,
SQLAlchemySyncMockSlugRepository,
)
from advanced_alchemy.service import (
SQLAlchemyAsyncRepositoryService,
)
from advanced_alchemy.service.pagination import OffsetPagination
from advanced_alchemy.utils.text import slugify
from tests.fixtures.bigint import models as models_bigint
from tests.fixtures.bigint import repositories as repositories_bigint
from tests.fixtures.bigint import services as services_bigint
from tests.fixtures.uuid import models as models_uuid
from tests.fixtures.uuid import repositories as repositories_uuid
from tests.fixtures.uuid import services as services_uuid
from tests.helpers import maybe_async
from tests.integration.helpers import update_raw_records
if TYPE_CHECKING:
from pytest import FixtureRequest
from time_machine import Coordinates
pytestmark = [
pytest.mark.integration,
]
xfail = pytest.mark.xfail
RepositoryPKType = Literal["uuid", "bigint"]
SecretModel = type[Union[models_uuid.UUIDSecret, models_bigint.BigIntSecret]]
AuthorModel = type[Union[models_uuid.UUIDAuthor, models_bigint.BigIntAuthor]]
RuleModel = type[Union[models_uuid.UUIDRule, models_bigint.BigIntRule]]
ModelWithFetchedValue = type[Union[models_uuid.UUIDModelWithFetchedValue, models_bigint.BigIntModelWithFetchedValue]]
ItemModel = type[Union[models_uuid.UUIDItem, models_bigint.BigIntItem]]
TagModel = type[Union[models_uuid.UUIDTag, models_bigint.BigIntTag]]
SlugBookModel = type[Union[models_uuid.UUIDSlugBook, models_bigint.BigIntSlugBook]]
AnySecret = Union[models_uuid.UUIDSecret, models_bigint.BigIntSecret]
SecretRepository = SQLAlchemyAsyncRepository[AnySecret]
SecretService = SQLAlchemyAsyncRepositoryService[AnySecret, SecretRepository]
SecretMockRepository = SQLAlchemyAsyncMockRepository[AnySecret]
AnySecretRepository = Union[SecretRepository, SecretMockRepository]
AnyAuthor = Union[models_uuid.UUIDAuthor, models_bigint.BigIntAuthor]
AuthorRepository = SQLAlchemyAsyncRepository[AnyAuthor]
AuthorMockRepository = SQLAlchemyAsyncMockRepository[AnyAuthor]
AnyAuthorRepository = Union[AuthorRepository, AuthorMockRepository]
AuthorService = SQLAlchemyAsyncRepositoryService[AnyAuthor, AuthorRepository]
AnyRule = Union[models_uuid.UUIDRule, models_bigint.BigIntRule]
RuleRepository = SQLAlchemyAsyncRepository[AnyRule]
RuleService = SQLAlchemyAsyncRepositoryService[AnyRule, RuleRepository]
AnySlugBook = Union[models_uuid.UUIDSlugBook, models_bigint.BigIntSlugBook]
SlugBookRepository = SQLAlchemyAsyncSlugRepository[AnySlugBook]
SlugBookService = SQLAlchemyAsyncRepositoryService[AnySlugBook, SlugBookRepository]
AnyBook = Union[models_uuid.UUIDBook, models_bigint.BigIntBook]
BookRepository = SQLAlchemyAsyncRepository[AnyBook]
BookService = SQLAlchemyAsyncRepositoryService[AnyBook, BookRepository]
AnyTag = Union[models_uuid.UUIDTag, models_bigint.BigIntTag]
TagRepository = SQLAlchemyAsyncRepository[AnyTag]
TagService = SQLAlchemyAsyncRepositoryService[AnyTag, TagRepository]
AnyItem = Union[models_uuid.UUIDItem, models_bigint.BigIntItem]
ItemRepository = SQLAlchemyAsyncRepository[AnyItem]
ItemService = SQLAlchemyAsyncRepositoryService[AnyItem, ItemRepository]
AnyModelWithFetchedValue = Union[models_uuid.UUIDModelWithFetchedValue, models_bigint.BigIntModelWithFetchedValue]
ModelWithFetchedValueRepository = SQLAlchemyAsyncRepository[AnyModelWithFetchedValue]
ModelWithFetchedValueService = SQLAlchemyAsyncRepositoryService[
AnyModelWithFetchedValue, ModelWithFetchedValueRepository
]
RawRecordData = list[dict[str, Any]]
mock_engines = {"mock_async_engine", "mock_sync_engine"}
@pytest.fixture(autouse=True)
def _clear_in_memory_db() -> Generator[None, None, None]: # pyright: ignore[reportUnusedFunction]
try:
yield
finally:
SQLAlchemyAsyncMockRepository.__database_clear__()
SQLAlchemySyncMockRepository.__database_clear__()
@pytest.fixture(name="raw_authors_uuid")
def fx_raw_authors_uuid() -> RawRecordData:
"""Unstructured author representations."""
return [
{
"id": UUID("97108ac1-ffcb-411d-8b1e-d9183399f63b"),
"name": "Agatha Christie",
"dob": "1890-09-15",
"created_at": "2023-05-01T00:00:00",
"updated_at": "2023-05-11T00:00:00",
},
{
"id": UUID("5ef29f3c-3560-4d15-ba6b-a2e5c721e4d2"),
"name": "Leo Tolstoy",
"dob": "1828-09-09",
"created_at": "2023-03-01T00:00:00",
"updated_at": "2023-05-15T00:00:00",
},
]
@pytest.fixture(name="raw_books_uuid")
def fx_raw_books_uuid(raw_authors_uuid: RawRecordData) -> RawRecordData:
"""Unstructured book representations."""
return [
{
"id": UUID("f34545b9-663c-4fce-915d-dd1ae9cea42a"),
"title": "Murder on the Orient Express",
"author_id": raw_authors_uuid[0]["id"],
"author": raw_authors_uuid[0],
},
]
@pytest.fixture(name="raw_slug_books_uuid")
def fx_raw_slug_books_uuid(raw_authors_uuid: RawRecordData) -> RawRecordData:
"""Unstructured slug book representations."""
return [
{
"id": UUID("f34545b9-663c-4fce-915d-dd1ae9cea42a"),
"title": "Murder on the Orient Express",
"slug": slugify("Murder on the Orient Express"),
"author_id": str(raw_authors_uuid[0]["id"]),
},
]
@pytest.fixture(name="raw_log_events_uuid")
def fx_raw_log_events_uuid() -> RawRecordData:
"""Unstructured log events representations."""
return [
{
"id": "f34545b9-663c-4fce-915d-dd1ae9cea42a",
"logged_at": "0001-01-01T00:00:00",
"payload": {"foo": "bar", "baz": datetime.datetime.now()},
"created_at": "0001-01-01T00:00:00",
"updated_at": "0001-01-01T00:00:00",
},
]
@pytest.fixture(name="raw_rules_uuid")
def fx_raw_rules_uuid() -> RawRecordData:
"""Unstructured rules representations."""
return [
{
"id": "f34545b9-663c-4fce-915d-dd1ae9cea42a",
"name": "Initial loading rule.",
"config": {"url": "https://example.org", "setting_123": 1},
"created_at": "2023-01-01T00:00:00",
"updated_at": "2023-02-01T00:00:00",
},
{
"id": "f34545b9-663c-4fce-915d-dd1ae9cea34b",
"name": "Secondary loading rule.",
"config": {"url": "https://example.org", "bar": "foo", "setting_123": 4},
"created_at": "2023-02-01T00:00:00",
"updated_at": "2023-02-01T00:00:00",
},
]
@pytest.fixture(name="raw_secrets_uuid")
def fx_raw_secrets_uuid() -> RawRecordData:
"""secret representations."""
return [
{
"id": "f34545b9-663c-4fce-915d-dd1ae9cea42a",
"secret": "I'm a secret!",
"long_secret": "It's clobbering time.",
},
]
@pytest.fixture(name="raw_authors_bigint")
def fx_raw_authors_bigint() -> RawRecordData:
"""Unstructured author representations."""
return [
{
"id": 2023,
"name": "Agatha Christie",
"dob": "1890-09-15",
"created_at": "2023-05-01T00:00:00",
"updated_at": "2023-05-11T00:00:00",
},
{
"id": 2024,
"name": "Leo Tolstoy",
"dob": "1828-09-09",
"created_at": "2023-03-01T00:00:00",
"updated_at": "2023-05-15T00:00:00",
},
]
@pytest.fixture(name="raw_books_bigint")
def fx_raw_books_bigint(raw_authors_bigint: RawRecordData) -> RawRecordData:
"""Unstructured book representations."""
return [
{
"title": "Murder on the Orient Express",
"author_id": raw_authors_bigint[0]["id"],
"author": raw_authors_bigint[0],
},
]
@pytest.fixture(name="raw_slug_books_bigint")
def fx_raw_slug_books_bigint(raw_authors_bigint: RawRecordData) -> RawRecordData:
"""Unstructured slug book representations."""
return [
{
"title": "Murder on the Orient Express",
"slug": slugify("Murder on the Orient Express"),
"author_id": str(raw_authors_bigint[0]["id"]),
},
]
@pytest.fixture(name="raw_log_events_bigint")
def fx_raw_log_events_bigint() -> RawRecordData:
"""Unstructured log events representations."""
return [
{
"id": 2025,
"logged_at": "0001-01-01T00:00:00",
"payload": {"foo": "bar", "baz": datetime.datetime.now()},
"created_at": "0001-01-01T00:00:00",
"updated_at": "0001-01-01T00:00:00",
},
]
@pytest.fixture(name="raw_rules_bigint")
def fx_raw_rules_bigint() -> RawRecordData:
"""Unstructured rules representations."""
return [
{
"id": 2025,
"name": "Initial loading rule.",
"config": {"url": "https://example.org", "setting_123": 1},
"created_at": "2023-01-01T00:00:00",
"updated_at": "2023-02-01T00:00:00",
},
{
"id": 2024,
"name": "Secondary loading rule.",
"config": {"url": "https://example.org", "bar": "foo", "setting_123": 4},
"created_at": "2023-02-01T00:00:00",
"updated_at": "2023-02-01T00:00:00",
},
]
@pytest.fixture(name="raw_secrets_bigint")
def fx_raw_secrets_bigint() -> RawRecordData:
"""secret representations."""
return [
{
"id": 2025,
"secret": "I'm a secret!",
"long_secret": "It's clobbering time.",
},
]
@pytest.fixture(params=["uuid", "bigint"])
def repository_pk_type(request: FixtureRequest) -> RepositoryPKType:
"""Return the primary key type of the repository"""
return cast(RepositoryPKType, request.param)
@pytest.fixture()
def author_model(repository_pk_type: RepositoryPKType) -> AuthorModel:
"""Return the ``Author`` model matching the current repository PK type"""
if repository_pk_type == "uuid":
return models_uuid.UUIDAuthor
return models_bigint.BigIntAuthor
@pytest.fixture()
def rule_model(repository_pk_type: RepositoryPKType) -> RuleModel:
"""Return the ``Rule`` model matching the current repository PK type"""
if repository_pk_type == "bigint":
return models_bigint.BigIntRule
return models_uuid.UUIDRule
@pytest.fixture()
def model_with_fetched_value(repository_pk_type: RepositoryPKType) -> ModelWithFetchedValue:
"""Return the ``ModelWithFetchedValue`` model matching the current repository PK type"""
if repository_pk_type == "bigint":
return models_bigint.BigIntModelWithFetchedValue
return models_uuid.UUIDModelWithFetchedValue
@pytest.fixture()
def item_model(repository_pk_type: RepositoryPKType) -> ItemModel:
"""Return the ``Item`` model matching the current repository PK type"""
if repository_pk_type == "bigint":
return models_bigint.BigIntItem
return models_uuid.UUIDItem
@pytest.fixture()
def tag_model(repository_pk_type: RepositoryPKType) -> TagModel:
"""Return the ``Tag`` model matching the current repository PK type"""
if repository_pk_type == "uuid":
return models_uuid.UUIDTag
return models_bigint.BigIntTag
@pytest.fixture()
def book_model(repository_pk_type: RepositoryPKType) -> type[models_uuid.UUIDBook | models_bigint.BigIntBook]:
"""Return the ``Book`` model matching the current repository PK type"""
if repository_pk_type == "uuid":
return models_uuid.UUIDBook
return models_bigint.BigIntBook
@pytest.fixture()
def slug_book_model(
repository_pk_type: RepositoryPKType,
) -> SlugBookModel:
"""Return the ``SlugBook`` model matching the current repository PK type"""
if repository_pk_type == "uuid":
return models_uuid.UUIDSlugBook
return models_bigint.BigIntSlugBook
@pytest.fixture()
def secret_model(repository_pk_type: RepositoryPKType) -> SecretModel:
"""Return the ``Secret`` model matching the current repository PK type"""
return models_uuid.UUIDSecret if repository_pk_type == "uuid" else models_bigint.BigIntSecret
@pytest.fixture()
def new_pk_id(repository_pk_type: RepositoryPKType) -> Any:
"""Return an unused primary key, matching the current repository PK type"""
if repository_pk_type == "uuid":
return UUID("baa0a5c7-5404-4821-bc76-6cf5e73c8219")
return 10
@pytest.fixture()
def existing_slug_book_ids(raw_slug_books: RawRecordData) -> Iterator[Any]:
"""Return the existing primary keys based on the raw data provided"""
return (book["id"] for book in raw_slug_books)
@pytest.fixture()
def first_slug_book_id(raw_slug_books: RawRecordData) -> Any:
"""Return the primary key of the first ``Book`` record of the current repository PK type"""
return raw_slug_books[0]["id"]
@pytest.fixture()
def existing_author_ids(raw_authors: RawRecordData) -> Iterator[Any]:
"""Return the existing primary keys based on the raw data provided"""
return (author["id"] for author in raw_authors)
@pytest.fixture()
def first_author_id(raw_authors: RawRecordData) -> Any:
"""Return the primary key of the first ``Author`` record of the current repository PK type"""
return raw_authors[0]["id"]
@pytest.fixture()
def existing_secret_ids(raw_secrets: RawRecordData) -> Iterator[Any]:
"""Return the existing primary keys based on the raw data provided"""
return (secret["id"] for secret in raw_secrets)
@pytest.fixture()
def first_secret_id(raw_secrets: RawRecordData) -> Any:
"""Return the primary key of the first ``Secret`` record of the current repository PK type"""
return raw_secrets[0]["id"]
@pytest.fixture(
params=[
pytest.param(
"sqlite_engine",
marks=[
pytest.mark.sqlite,
pytest.mark.integration,
],
),
pytest.param(
"duckdb_engine",
marks=[
pytest.mark.duckdb,
pytest.mark.integration,
pytest.mark.xdist_group("duckdb"),
],
),
pytest.param(
"oracle18c_engine",
marks=[
pytest.mark.oracledb_sync,
pytest.mark.integration,
pytest.mark.xdist_group("oracle18"),
],
),
pytest.param(
"oracle23c_engine",
marks=[
pytest.mark.oracledb_sync,
pytest.mark.integration,
pytest.mark.xdist_group("oracle23"),
],
),
pytest.param(
"psycopg_engine",
marks=[
pytest.mark.psycopg_sync,
pytest.mark.integration,
pytest.mark.xdist_group("postgres"),
],
),
pytest.param(
"spanner_engine",
marks=[
pytest.mark.spanner,
pytest.mark.integration,
pytest.mark.xdist_group("spanner"),
],
),
pytest.param(
"mssql_engine",
marks=[
pytest.mark.mssql_sync,
pytest.mark.integration,
pytest.mark.xdist_group("mssql"),
],
),
pytest.param(
"cockroachdb_engine",
marks=[
pytest.mark.cockroachdb_sync,
pytest.mark.integration,
pytest.mark.xdist_group("cockroachdb"),
],
),
pytest.param(
"mock_sync_engine",
marks=[
pytest.mark.mock_sync,
pytest.mark.integration,
pytest.mark.xdist_group("mock"),
],
),
],
)
def engine(request: FixtureRequest, repository_pk_type: RepositoryPKType) -> Generator[Engine, None, None]:
"""Return a synchronous engine. Parametrized to return all engines supported by
the repository PK type
"""
engine = cast(Engine, request.getfixturevalue(request.param))
if engine.dialect.name.startswith("spanner") and repository_pk_type == "bigint":
pytest.skip(reason="Spanner does not support monotonically increasing primary keys")
elif engine.dialect.name.startswith("cockroach") and repository_pk_type == "bigint":
pytest.skip(reason="Cockroachdb has special considerations for monotonically increasing primary keys.")
yield engine
@pytest.fixture()
def raw_authors(request: FixtureRequest, repository_pk_type: RepositoryPKType) -> RawRecordData:
"""Return raw ``Author`` data matching the current PK type"""
if repository_pk_type == "bigint":
authors = request.getfixturevalue("raw_authors_bigint")
else:
authors = request.getfixturevalue("raw_authors_uuid")
return cast("RawRecordData", authors)
@pytest.fixture()
def raw_slug_books(request: FixtureRequest, repository_pk_type: RepositoryPKType) -> RawRecordData:
"""Return raw ``Author`` data matching the current PK type"""
if repository_pk_type == "bigint":
books = request.getfixturevalue("raw_slug_books_bigint")
else:
books = request.getfixturevalue("raw_slug_books_uuid")
return cast("RawRecordData", books)
@pytest.fixture()
def raw_rules(request: FixtureRequest, repository_pk_type: RepositoryPKType) -> RawRecordData:
"""Return raw ``Rule`` data matching the current PK type"""
if repository_pk_type == "bigint":
rules = request.getfixturevalue("raw_rules_bigint")
else:
rules = request.getfixturevalue("raw_rules_uuid")
return cast("RawRecordData", rules)
@pytest.fixture()
def raw_secrets(request: FixtureRequest, repository_pk_type: RepositoryPKType) -> RawRecordData:
"""Return raw ``Secret`` data matching the current PK type"""
if repository_pk_type == "bigint":
secrets = request.getfixturevalue("raw_secrets_bigint")
else:
secrets = request.getfixturevalue("raw_secrets_uuid")
return cast("RawRecordData", secrets)
def _seed_db_sync(
*,
engine: Engine,
raw_authors: RawRecordData,
raw_slug_books: RawRecordData,
raw_rules: RawRecordData,
raw_secrets: RawRecordData,
author_model: AuthorModel,
secret_model: SecretModel,
rule_model: RuleModel,
slug_book_model: SlugBookModel,
) -> None:
update_raw_records(raw_authors=raw_authors, raw_rules=raw_rules)
if isinstance(engine, NonCallableMagicMock):
for raw_author in raw_authors:
SQLAlchemySyncMockRepository.__database_add__( # pyright: ignore[reportUnknownMemberType]
author_model,
model_from_dict(author_model, **raw_author), # type: ignore[type-var]
)
for raw_rule in raw_rules:
SQLAlchemySyncMockRepository.__database_add__( # pyright: ignore[reportUnknownMemberType]
author_model,
model_from_dict(rule_model, **raw_rule), # type: ignore[type-var]
)
for raw_secret in raw_secrets:
SQLAlchemySyncMockRepository.__database_add__( # pyright: ignore[reportUnknownMemberType]
secret_model,
model_from_dict(secret_model, **raw_secret), # type: ignore[type-var]
)
for raw_book in raw_slug_books:
SQLAlchemySyncMockSlugRepository.__database_add__( # pyright: ignore[reportUnknownMemberType]
slug_book_model,
model_from_dict(slug_book_model, **raw_book), # type: ignore[type-var]
)
else:
with engine.begin() as conn:
base.orm_registry.metadata.drop_all(conn)
base.orm_registry.metadata.create_all(conn)
with engine.begin() as conn:
for author in raw_authors:
conn.execute(insert(author_model).values(author))
for rule in raw_rules:
conn.execute(insert(rule_model).values(rule))
for secret in raw_secrets:
conn.execute(insert(secret_model).values(secret))
for book in raw_slug_books:
conn.execute(insert(slug_book_model).values(book))
def _seed_spanner(
*,
engine: Engine,
raw_authors_uuid: RawRecordData,
raw_rules_uuid: RawRecordData,
raw_slug_books_uuid: RawRecordData,
) -> list[Table]:
update_raw_records(raw_authors=raw_authors_uuid, raw_rules=raw_rules_uuid)
with engine.begin() as txn:
objs = [
tbl for tbl in models_uuid.UUIDAuthor.registry.metadata.sorted_tables if tbl.description.startswith("uuid")
]
models_uuid.UUIDAuthor.registry.metadata.create_all(txn, tables=objs)
return objs
@pytest.fixture()
def seed_db_sync(
engine: Engine,
raw_authors: RawRecordData,
raw_slug_books: RawRecordData,
raw_rules: RawRecordData,
raw_secrets: RawRecordData,
author_model: AuthorModel,
rule_model: RuleModel,
secret_model: SecretModel,
slug_book_model: SlugBookModel,
) -> None:
if engine.dialect.name.startswith("spanner"):
_seed_spanner(
engine=engine,
raw_authors_uuid=raw_authors,
raw_rules_uuid=raw_rules,
raw_slug_books_uuid=raw_slug_books,
)
else:
_seed_db_sync(
engine=engine,
raw_authors=raw_authors,
raw_rules=raw_rules,
raw_secrets=raw_secrets,
raw_slug_books=raw_slug_books,
author_model=author_model,
rule_model=rule_model,
secret_model=secret_model,
slug_book_model=slug_book_model,
)
@pytest.fixture()
def session(
engine: Engine,
raw_authors: RawRecordData,
raw_rules: RawRecordData,
raw_secrets: RawRecordData,
seed_db_sync: None,
) -> Generator[Session, None, None]:
"""Return a synchronous session for the current engine"""
session = sessionmaker(bind=engine)()
if engine.dialect.name.startswith("spanner"):
try:
author_repo = repositories_uuid.AuthorSyncRepository(session=session)
for author in raw_authors:
_ = author_repo.get_or_upsert(match_fields="name", **author)
secret_repo = repositories_uuid.SecretSyncRepository(session=session)
for secret in raw_secrets:
_ = secret_repo.get_or_upsert(match_fields="id", **secret)
if not bool(os.environ.get("SPANNER_EMULATOR_HOST")):
rule_repo = repositories_uuid.RuleSyncRepository(session=session)
for rule in raw_rules:
_ = rule_repo.add(models_uuid.UUIDRule(**rule))
yield session
finally:
session.rollback()
session.close()
with engine.begin() as txn:
models_uuid.UUIDAuthor.registry.metadata.drop_all(txn, tables=seed_db_sync)
else:
try:
yield session
finally:
session.rollback()
session.close()
@pytest.fixture(
params=[
pytest.param(
"aiosqlite_engine",
marks=[
pytest.mark.aiosqlite,
pytest.mark.integration,
],
),
pytest.param(
"asyncmy_engine",
marks=[
pytest.mark.asyncmy,
pytest.mark.integration,
pytest.mark.xdist_group("mysql"),
],
),
pytest.param(
"asyncpg_engine",
marks=[
pytest.mark.asyncpg,
pytest.mark.integration,
pytest.mark.xdist_group("postgres"),
],
),
pytest.param(
"psycopg_async_engine",
marks=[
pytest.mark.psycopg_async,
pytest.mark.integration,
pytest.mark.xdist_group("postgres"),
],
),
pytest.param(
"cockroachdb_async_engine",
marks=[
pytest.mark.cockroachdb_async,
pytest.mark.integration,
pytest.mark.xdist_group("cockroachdb"),
],
),
pytest.param(
"mssql_async_engine",
marks=[
pytest.mark.mssql_async,
pytest.mark.integration,
pytest.mark.xdist_group("mssql"),
],
),
pytest.param(
"oracle18c_async_engine",
marks=[
pytest.mark.oracledb_async,
pytest.mark.integration,
pytest.mark.xdist_group("oracle18"),
],
),
pytest.param(
"oracle23c_async_engine",
marks=[
pytest.mark.oracledb_async,
pytest.mark.integration,
pytest.mark.xdist_group("oracle23"),
],
),
pytest.param(
"mock_async_engine",
marks=[
pytest.mark.mock_async,
pytest.mark.integration,
pytest.mark.xdist_group("mock"),
],
),
],
)
def async_engine(request: FixtureRequest, repository_pk_type: RepositoryPKType) -> Generator[AsyncEngine, None, None]:
async_engine = cast(AsyncEngine, request.getfixturevalue(request.param))
if async_engine.dialect.name.startswith("cockroach") and repository_pk_type == "bigint":
pytest.skip(reason="Cockroachdb has special considerations for monotonically increasing primary keys.")
yield async_engine
@pytest.fixture()
async def seed_db_async(
request: FixtureRequest,
async_engine: AsyncEngine | NonCallableMagicMock,
raw_authors: RawRecordData,
raw_rules: RawRecordData,
raw_secrets: RawRecordData,
author_model: AuthorModel,
rule_model: RuleModel,
secret_model: SecretModel,
) -> None:
"""Return an asynchronous session for the current engine"""
# convert date/time strings to dt objects.
for raw_author in raw_authors:
raw_author["dob"] = datetime.datetime.strptime(raw_author["dob"], "%Y-%m-%d").date()
raw_author["created_at"] = datetime.datetime.strptime(raw_author["created_at"], "%Y-%m-%dT%H:%M:%S").astimezone(
datetime.timezone.utc,
)
raw_author["updated_at"] = datetime.datetime.strptime(raw_author["updated_at"], "%Y-%m-%dT%H:%M:%S").astimezone(
datetime.timezone.utc,
)
for raw_author in raw_rules:
raw_author["created_at"] = datetime.datetime.strptime(raw_author["created_at"], "%Y-%m-%dT%H:%M:%S").astimezone(
datetime.timezone.utc,
)
raw_author["updated_at"] = datetime.datetime.strptime(raw_author["updated_at"], "%Y-%m-%dT%H:%M:%S").astimezone(
datetime.timezone.utc,
)
if isinstance(async_engine, NonCallableMagicMock):
for raw_author in raw_authors:
SQLAlchemyAsyncMockRepository.__database_add__( # pyright: ignore[reportUnknownMemberType]
author_model,
model_from_dict(author_model, **raw_author), # type: ignore[type-var]
)
for raw_rule in raw_rules:
SQLAlchemyAsyncMockRepository.__database_add__( # pyright: ignore[reportUnknownMemberType]
author_model,
model_from_dict(rule_model, **raw_rule), # type: ignore[type-var]
)
for raw_secret in raw_secrets:
SQLAlchemyAsyncMockRepository.__database_add__( # pyright: ignore[reportUnknownMemberType]
secret_model,
model_from_dict(secret_model, **raw_secret), # type: ignore[type-var]
)
else:
async with async_engine.begin() as conn:
if "cockroachdb_async_engine" in request.fixturenames:
await conn.execute(text("SET multiple_active_portals_enabled = true"))
await conn.execute(text("SET autocommit_before_ddl = true"))
await conn.run_sync(base.orm_registry.metadata.drop_all)
await conn.run_sync(base.orm_registry.metadata.create_all)
await conn.execute(insert(author_model), raw_authors)
await conn.execute(insert(rule_model), raw_rules)
await conn.execute(insert(secret_model), raw_secrets)
@pytest.fixture(autouse=False)
async def patch_cockroach_session(async_session: AsyncSession) -> AsyncGenerator[None, None]:
"""Return a session for the current session"""
await async_session.execute(text("SET multiple_active_portals_enabled = true"))
yield None
@pytest.fixture(params=[lf("session"), lf("async_session")], ids=["sync", "async"])
def any_session(request: FixtureRequest) -> Generator[AsyncSession | Session, None, None]:
"""Return a session for the current session"""
if isinstance(request.param, AsyncSession):
request.getfixturevalue("seed_db_async")
if "cockroachdb_async_engine" in request.fixturenames:
request.getfixturevalue("patch_cockroach_session")
else:
request.getfixturevalue("seed_db_sync")
yield request.param # type: ignore[no-any-return]
@pytest.fixture(params=[lf("engine"), lf("async_engine")], ids=["sync", "async"])
async def any_engine(
request: FixtureRequest,
) -> AsyncGenerator[Engine | AsyncEngine, None]:
"""Return a session for the current session"""
yield cast("Engine | AsyncEngine", request.getfixturevalue(request.param))
@pytest.fixture()
def repository_module(repository_pk_type: RepositoryPKType, request: FixtureRequest) -> Any:
if repository_pk_type == "bigint" and mock_engines.intersection(set(request.fixturenames)):
pytest.skip("Skipping additional bigint mock repository tests")
yield repositories_uuid if repository_pk_type == "uuid" else repositories_bigint
@pytest.fixture()
def service_module(repository_pk_type: RepositoryPKType, request: FixtureRequest) -> Any:
if repository_pk_type == "bigint" and mock_engines.intersection(set(request.fixturenames)):
pytest.skip("Skipping additional bigint mock repository tests")
yield services_uuid if repository_pk_type == "uuid" else services_bigint
@pytest.fixture()
def author_repo(
request: FixtureRequest,
any_session: AsyncSession | Session,
repository_module: Any,
) -> Generator[AuthorRepository, None, None]:
"""Return an AuthorAsyncRepository or AuthorSyncRepository based on the current PK and session type"""
if "mock_async_engine" in request.fixturenames:
repo = repository_module.AuthorAsyncMockRepository(session=any_session)
elif "mock_sync_engine" in request.fixturenames:
repo = repository_module.AuthorSyncMockRepository(session=any_session)
elif isinstance(any_session, AsyncSession):
repo = repository_module.AuthorAsyncRepository(session=any_session)
else:
repo = repository_module.AuthorSyncRepository(session=any_session)
yield cast(AuthorRepository, repo)
@pytest.fixture()
def secret_repo(
request: FixtureRequest,
any_session: AsyncSession | Session,
repository_module: Any,
) -> Generator[SecretRepository, None, None]:
"""Return an SecretAsyncRepository or SecretSyncRepository based on the current PK and session type"""
if "mock_async_engine" in request.fixturenames:
repo = repository_module.SecretAsyncMockRepository(session=any_session)
elif "mock_sync_engine" in request.fixturenames:
repo = repository_module.SecretSyncMockRepository(session=any_session)
elif isinstance(any_session, AsyncSession):
repo = repository_module.SecretAsyncRepository(session=any_session)
else:
repo = repository_module.SecretSyncRepository(session=any_session)
yield cast(SecretRepository, repo)
@pytest.fixture()
def author_service(
any_session: AsyncSession | Session,
service_module: Any,
request: FixtureRequest,
) -> Generator[AuthorService, None, None]:
"""Return an AuthorAsyncService or AuthorSyncService based on the current PK and session type"""
if "mock_async_engine" in request.fixturenames:
repo = service_module.AuthorAsyncMockService(session=any_session)
elif "mock_sync_engine" in request.fixturenames:
repo = service_module.AuthorSyncMockService(session=any_session)
elif isinstance(any_session, AsyncSession):
repo = service_module.AuthorAsyncService(session=any_session)
else:
repo = service_module.AuthorSyncService(session=any_session)
yield cast(AuthorService, repo)
@pytest.fixture()
def rule_repo(
any_session: AsyncSession | Session, repository_module: Any, request: FixtureRequest
) -> Generator[RuleRepository, None, None]:
"""Return an RuleAsyncRepository or RuleSyncRepository based on the current PK and session type"""
if "mock_async_engine" in request.fixturenames:
repo = repository_module.RuleAsyncMockRepository(session=any_session)
elif "mock_sync_engine" in request.fixturenames:
repo = repository_module.RuleSyncMockRepository(session=any_session)
elif isinstance(any_session, AsyncSession):
repo = repository_module.RuleAsyncRepository(session=any_session)
else:
repo = repository_module.RuleSyncRepository(session=any_session)
yield cast(RuleRepository, repo)
@pytest.fixture()
def rule_service(
any_session: AsyncSession | Session, service_module: Any, request: FixtureRequest
) -> Generator[RuleService, None, None]:
"""Return an RuleAsyncService or RuleSyncService based on the current PK and session type"""
if "mock_async_engine" in request.fixturenames:
repo = service_module.RuleAsyncMockService(session=any_session)
elif "mock_sync_engine" in request.fixturenames:
repo = service_module.RuleSyncMockService(session=any_session)
elif isinstance(any_session, AsyncSession):
repo = service_module.RuleAsyncService(session=any_session)
else:
repo = service_module.RuleSyncService(session=any_session)
yield cast(RuleService, repo)
@pytest.fixture()
def book_repo(
any_session: AsyncSession | Session, repository_module: Any, request: FixtureRequest
) -> Generator[BookRepository, None, None]:
"""Return an BookAsyncRepository or BookSyncRepository based on the current PK and session type"""
if "mock_async_engine" in request.fixturenames:
repo = repository_module.BookAsyncMockRepository(session=any_session)
elif "mock_sync_engine" in request.fixturenames:
repo = repository_module.BookSyncMockRepository(session=any_session)
elif isinstance(any_session, AsyncSession):
repo = repository_module.BookAsyncRepository(session=any_session)
else:
repo = repository_module.BookSyncRepository(session=any_session)
yield cast(BookRepository, repo)
@pytest.fixture()
def book_service(
any_session: AsyncSession | Session, service_module: Any, request: FixtureRequest
) -> Generator[BookService, None, None]:
"""Return an BookAsyncService or BookSyncService based on the current PK and session type"""
if "mock_async_engine" in request.fixturenames:
repo = service_module.BookAsyncMockService(session=any_session)
elif "mock_sync_engine" in request.fixturenames:
repo = service_module.BookSyncMockService(session=any_session)
elif isinstance(any_session, AsyncSession):
repo = service_module.BookAsyncService(session=any_session)
else:
repo = service_module.BookSyncService(session=any_session)
yield cast(BookService, repo)
@pytest.fixture()
def slug_book_repo(
any_session: AsyncSession | Session,
repository_module: Any,
request: FixtureRequest,
) -> Generator[SlugBookRepository, None, None]:
"""Return an SlugBookAsyncRepository or SlugBookSyncRepository based on the current PK and session type"""
if "mock_async_engine" in request.fixturenames:
repo = repository_module.SlugBookAsyncMockRepository(session=any_session)
elif "mock_sync_engine" in request.fixturenames:
repo = repository_module.SlugBookSyncMockRepository(session=any_session)
elif isinstance(any_session, AsyncSession):
repo = repository_module.SlugBookAsyncRepository(session=any_session)
else:
repo = repository_module.SlugBookSyncRepository(session=any_session)
yield cast("SlugBookRepository", repo)
@pytest.fixture()
def slug_book_service(
any_session: AsyncSession | Session,
service_module: Any,
request: FixtureRequest,
) -> Generator[SlugBookService, None, None]:
"""Return an SlugBookAsyncService or SlugBookSyncService based on the current PK and session type"""
if "mock_async_engine" in request.fixturenames:
svc = service_module.SlugBookAsyncMockService(session=any_session)
elif "mock_sync_engine" in request.fixturenames:
svc = service_module.SlugBookSyncMockService(session=any_session)
elif isinstance(any_session, AsyncSession):
svc = service_module.SlugBookAsyncService(session=any_session)
else:
svc = service_module.SlugBookSyncService(session=any_session)
yield cast("SlugBookService", svc)
@pytest.fixture()
def tag_repo(
any_session: AsyncSession | Session, repository_module: Any, request: FixtureRequest
) -> Generator[ItemRepository, None, None]:
"""Return an TagAsyncRepository or TagSyncRepository based on the current PK and session type"""
if "mock_async_engine" in request.fixturenames:
repo = repository_module.TagAsyncMockRepository(session=any_session)
elif "mock_sync_engine" in request.fixturenames:
repo = repository_module.TagSyncMockRepository(session=any_session)
elif isinstance(any_session, AsyncSession):
repo = repository_module.TagAsyncRepository(session=any_session)
else:
repo = repository_module.TagSyncRepository(session=any_session)
yield cast(ItemRepository, repo)
@pytest.fixture()
def tag_service(
any_session: AsyncSession | Session, service_module: Any, request: FixtureRequest
) -> Generator[TagService, None, None]:
"""Return an TagAsyncService or TagSyncService based on the current PK and session type"""
if "mock_async_engine" in request.fixturenames:
repo = service_module.TagAsyncMockService(session=any_session)
elif "mock_sync_engine" in request.fixturenames:
repo = service_module.TagSyncMockService(session=any_session)
elif isinstance(any_session, AsyncSession):
repo = service_module.TagAsyncService(session=any_session)
else:
repo = service_module.TagSyncService(session=any_session)
yield cast(TagService, repo)
@pytest.fixture()
def item_repo(
any_session: AsyncSession | Session, repository_module: Any, request: FixtureRequest
) -> Generator[ItemRepository, None, None]:
"""Return an ItemAsyncRepository or ItemSyncRepository based on the current PK and session type"""
if "mock_async_engine" in request.fixturenames:
repo = repository_module.ItemAsyncMockRepository(session=any_session)
elif "mock_sync_engine" in request.fixturenames:
repo = repository_module.ItemSyncMockRepository(session=any_session)
elif isinstance(any_session, AsyncSession):
repo = repository_module.ItemAsyncRepository(session=any_session)
else:
repo = repository_module.ItemSyncRepository(session=any_session)
yield cast(ItemRepository, repo)
@pytest.fixture()
def item_service(
any_session: AsyncSession | Session, service_module: Any, request: FixtureRequest
) -> Generator[ItemService, None, None]:
"""Return an ItemAsyncService or ItemSyncService based on the current PK and session type"""
if "mock_async_engine" in request.fixturenames:
repo = service_module.ItemAsyncMockService(session=any_session)
elif "mock_sync_engine" in request.fixturenames:
repo = service_module.ItemSyncMockService(session=any_session)
elif isinstance(any_session, AsyncSession):
repo = service_module.ItemAsyncService(session=any_session)
else:
repo = service_module.ItemSyncService(session=any_session)
yield cast(ItemService, repo)
@pytest.fixture()
def model_with_fetched_value_repo(
any_session: AsyncSession | Session,
repository_module: Any,
) -> Generator[ModelWithFetchedValueRepository, None, None]:
"""Return an ModelWithFetchedValueAsyncRepository or ModelWithFetchedValueSyncRepository
based on the current PK and session type
"""
if isinstance(any_session, AsyncSession):
repo = repository_module.ModelWithFetchedValueAsyncRepository(session=any_session)
else:
repo = repository_module.ModelWithFetchedValueSyncRepository(session=any_session)
yield cast(ModelWithFetchedValueRepository, repo)
async def test_repo_count_method(author_repo: AnyAuthorRepository) -> None:
"""Test SQLAlchemy count.
Args:
author_repo: The author mock repository
"""
assert await maybe_async(author_repo.count()) == 2
async def test_repo_count_method_with_filters(raw_authors: RawRecordData, author_repo: AnyAuthorRepository) -> None:
"""Test SQLAlchemy count with filters.
Args:
author_repo: The author mock repository
"""
if isinstance(author_repo, (SQLAlchemyAsyncMockRepository, SQLAlchemySyncMockRepository)):
assert (
await maybe_async(
author_repo.count(
**{author_repo.model_type.name.key: raw_authors[0]["name"]},
),
)
== 1
)
else:
assert (
await maybe_async(
author_repo.count(
author_repo.model_type.name == raw_authors[0]["name"],
),
)
== 1
)
async def test_repo_list_and_count_method(raw_authors: RawRecordData, author_repo: AnyAuthorRepository) -> None:
"""Test SQLAlchemy list with count in asyncpg.
Args:
raw_authors: list of authors pre-seeded into the mock repository
author_repo: The author mock repository
"""
exp_count = len(raw_authors)
collection, count = await maybe_async(author_repo.list_and_count())
assert exp_count == count
assert isinstance(collection, list)
assert len(collection) == exp_count
async def test_repo_list_and_count_method_with_filters(
raw_authors: RawRecordData,
author_repo: AnyAuthorRepository,
) -> None:
"""Test SQLAlchemy list with count and filters in asyncpg.
Args:
raw_authors: list of authors pre-seeded into the mock repository
author_repo: The author mock repository
"""
exp_name = raw_authors[0]["name"]
exp_id = raw_authors[0]["id"]
if isinstance(author_repo, (SQLAlchemyAsyncMockRepository, SQLAlchemySyncMockRepository)):
collection, count = await maybe_async(
author_repo.list_and_count(**{author_repo.model_type.name.key: exp_name}),
)
else:
collection, count = await maybe_async(
author_repo.list_and_count(author_repo.model_type.name == exp_name),
)
assert count == 1
assert isinstance(collection, list)
assert len(collection) == 1
assert str(collection[0].id) == str(exp_id)
assert collection[0].name == exp_name
async def test_repo_list_and_count_basic_method(raw_authors: RawRecordData, author_repo: AnyAuthorRepository) -> None:
"""Test SQLAlchemy basic list with count in asyncpg.
Args:
raw_authors: list of authors pre-seeded into the mock repository
author_repo: The author mock repository
"""
exp_count = len(raw_authors)
collection, count = await maybe_async(author_repo.list_and_count(count_with_window_function=True))
assert exp_count == count
assert isinstance(collection, list)
assert len(collection) == exp_count
async def test_repo_list_and_count_method_empty(book_repo: BookRepository) -> None:
collection, count = await maybe_async(book_repo.list_and_count())
assert count == 0
assert isinstance(collection, list)
assert len(collection) == 0
@pytest.fixture()
def frozen_datetime() -> Generator[Coordinates, None, None]:
with travel(datetime.datetime.utcnow, tick=False) as frozen: # pyright: ignore[reportDeprecated,reportCallIssue]
yield frozen
async def test_repo_created_updated(
frozen_datetime: Coordinates,
author_repo: AnyAuthorRepository,
book_model: type[AnyBook],
repository_pk_type: RepositoryPKType,
) -> None:
from advanced_alchemy.config.asyncio import SQLAlchemyAsyncConfig
from advanced_alchemy.config.sync import SQLAlchemySyncConfig
if isinstance(author_repo, (SQLAlchemyAsyncMockRepository, SQLAlchemySyncMockRepository)):
pytest.skip(f"{SQLAlchemyAsyncMockRepository.__name__} does not update created/updated columns")
if isinstance(author_repo, SQLAlchemyAsyncRepository): # pyright: ignore[reportUnnecessaryIsInstance]
config = SQLAlchemyAsyncConfig(
engine_instance=author_repo.session.get_bind(), # type: ignore[arg-type]
)
else:
config = SQLAlchemySyncConfig( # type: ignore[unreachable]
engine_instance=author_repo.session.get_bind(),
)
config.__post_init__()
author = await maybe_async(author_repo.get_one(name="Agatha Christie"))
original_update_dt = author.updated_at
assert author.created_at is not None
assert author.updated_at is not None
frozen_datetime.shift(delta=datetime.timedelta(seconds=5))
# looks odd, but we want to get correct type checking here
if repository_pk_type == "uuid":
author = cast(models_uuid.UUIDAuthor, author)
book_model = cast("type[models_uuid.UUIDBook]", book_model)
else:
author = cast(models_bigint.BigIntAuthor, author)
book_model = cast("type[models_bigint.BigIntBook]", book_model)
author.name = "Altered"
author = await maybe_async(author_repo.update(author))
assert author.updated_at > original_update_dt
# test nested
author.books.append(book_model(title="Testing")) # type: ignore[arg-type]
author = await maybe_async(author_repo.update(author))
assert author.updated_at > original_update_dt
# This test does not work when run in group for some reason.
# If you run individually, it'll pass.
@xfail
async def test_repo_created_updated_no_listener(
frozen_datetime: Coordinates,
author_repo: AuthorRepository,
book_model: type[AnyBook],
repository_pk_type: RepositoryPKType,
) -> None:
from sqlalchemy import event
from sqlalchemy.exc import InvalidRequestError
from advanced_alchemy._listeners import touch_updated_timestamp
from advanced_alchemy.config.asyncio import SQLAlchemyAsyncConfig
from advanced_alchemy.config.sync import SQLAlchemySyncConfig
with contextlib.suppress(InvalidRequestError):
event.remove(Session, "before_flush", touch_updated_timestamp)
if isinstance(author_repo, SQLAlchemyAsyncRepository): # pyright: ignore[reportUnnecessaryIsInstance]
config = SQLAlchemyAsyncConfig(
enable_touch_updated_timestamp_listener=False,
engine_instance=author_repo.session.get_bind(), # type: ignore[arg-type]
)
else:
config = SQLAlchemySyncConfig( # type: ignore[unreachable]
enable_touch_updated_timestamp_listener=False,
engine_instance=author_repo.session.get_bind(),
)
config.__post_init__()
author = await maybe_async(author_repo.get_one(name="Agatha Christie"))
original_update_dt = author.updated_at
assert author.created_at is not None
assert author.updated_at is not None
frozen_datetime.shift(delta=datetime.timedelta(seconds=5))
# looks odd, but we want to get correct type checking here
if repository_pk_type == "uuid":
author = cast(models_uuid.UUIDAuthor, author)
book_model = cast("type[models_uuid.UUIDBook]", book_model)
else:
author = cast(models_bigint.BigIntAuthor, author)
book_model = cast("type[models_bigint.BigIntBook]", book_model)
author.books.append(book_model(title="Testing")) # type: ignore[arg-type]
author = await maybe_async(author_repo.update(author))
assert author.updated_at == original_update_dt
async def test_repo_list_method(
raw_authors_uuid: RawRecordData,
author_repo: AnyAuthorRepository,
) -> None:
exp_count = len(raw_authors_uuid)
collection = await maybe_async(author_repo.list())
assert isinstance(collection, list)
assert len(collection) == exp_count
async def test_repo_list_method_with_filters(raw_authors: RawRecordData, author_repo: AnyAuthorRepository) -> None:
exp_name = raw_authors[0]["name"]
exp_id = raw_authors[0]["id"]
if isinstance(author_repo, (SQLAlchemyAsyncMockRepository, SQLAlchemySyncMockRepository)):
collection = await maybe_async(
author_repo.list(**{author_repo.model_type.id.key: exp_id, author_repo.model_type.name.key: exp_name}), # type: ignore[union-attr]
)
else:
collection = await maybe_async(
author_repo.list(
and_(author_repo.model_type.id == exp_id, author_repo.model_type.name == exp_name),
),
)
assert isinstance(collection, list)
assert len(collection) == 1
assert str(collection[0].id) == str(exp_id)
assert collection[0].name == exp_name
async def test_repo_add_method(
raw_authors: RawRecordData,
author_repo: AnyAuthorRepository,
author_model: AuthorModel,
) -> None:
exp_count = len(raw_authors) + 1
new_author = author_model(name="Testing", dob=datetime.datetime.now().date())
obj = await maybe_async(author_repo.add(new_author))
count = await maybe_async(author_repo.count())
assert exp_count == count
assert isinstance(obj, author_model)
assert new_author.name == obj.name
assert obj.id is not None
async def test_repo_add_many_method(
raw_authors: RawRecordData,
author_repo: AnyAuthorRepository,
author_model: AuthorModel,
) -> None:
exp_count = len(raw_authors) + 2
objs = await maybe_async(
author_repo.add_many(
[
author_model(name="Testing 2", dob=datetime.datetime.now().date()),
author_model(name="Cody", dob=datetime.datetime.now().date()),
],
),
)
count = await maybe_async(author_repo.count())
assert exp_count == count
assert isinstance(objs, list)
assert len(objs) == 2
for obj in objs:
assert obj.id is not None
assert obj.name in {"Testing 2", "Cody"}
async def test_repo_update_many_method(author_repo: AnyAuthorRepository) -> None:
if author_repo._dialect.name.startswith("spanner") and os.environ.get("SPANNER_EMULATOR_HOST"): # pyright: ignore[reportPrivateUsage]
pytest.skip("Skipped on emulator")
objs = await maybe_async(author_repo.list())
for idx, obj in enumerate(objs):
obj.name = f"Update {idx}"
objs = await maybe_async(author_repo.update_many(objs))
for obj in objs:
assert obj.name.startswith("Update")
async def test_repo_exists_method(author_repo: AnyAuthorRepository, first_author_id: Any) -> None:
exists = await maybe_async(author_repo.exists(id=first_author_id))
assert exists
async def test_repo_exists_method_with_filters(
raw_authors: RawRecordData,
author_repo: AnyAuthorRepository,
first_author_id: Any,
) -> None:
if isinstance(author_repo, (SQLAlchemyAsyncMockRepository, SQLAlchemySyncMockRepository)):
exists = await maybe_async(
author_repo.exists(
**{author_repo.model_type.name.key: raw_authors[0]["name"]},
id=first_author_id,
),
)
else:
exists = await maybe_async(
author_repo.exists(
author_repo.model_type.name == raw_authors[0]["name"],
id=first_author_id,
),
)
assert exists
async def test_repo_update_method(author_repo: AnyAuthorRepository, first_author_id: Any) -> None:
obj = await maybe_async(author_repo.get(first_author_id))
obj.name = "Updated Name"
updated_obj = await maybe_async(author_repo.update(obj))
assert updated_obj.name == obj.name
async def test_repo_delete_method(author_repo: AnyAuthorRepository, first_author_id: Any) -> None:
obj = await maybe_async(author_repo.delete(first_author_id))
assert str(obj.id) == str(first_author_id)
async def test_repo_delete_many_method(author_repo: AnyAuthorRepository, author_model: AuthorModel) -> None:
data_to_insert = [author_model(name="author name %d" % chunk) for chunk in range(2000)]
_ = await maybe_async(author_repo.add_many(data_to_insert))
all_objs = await maybe_async(author_repo.list())
ids_to_delete = [existing_obj.id for existing_obj in all_objs]
objs = await maybe_async(author_repo.delete_many(ids_to_delete))
await maybe_async(author_repo.session.commit())
assert len(objs) > 0
data, count = await maybe_async(author_repo.list_and_count())
assert data == []
assert count == 0
async def test_repo_get_method(author_repo: AnyAuthorRepository, first_author_id: Any) -> None:
obj = await maybe_async(author_repo.get(first_author_id))
assert obj.name == "Agatha Christie"
async def test_repo_get_one_or_none_method(author_repo: AnyAuthorRepository, first_author_id: Any) -> None:
obj = await maybe_async(author_repo.get_one_or_none(id=first_author_id))
assert obj is not None
assert obj.name == "Agatha Christie"
none_obj = await maybe_async(author_repo.get_one_or_none(name="I don't exist"))
assert none_obj is None
async def test_repo_get_one_method(author_repo: AnyAuthorRepository, first_author_id: Any) -> None:
obj = await maybe_async(author_repo.get_one(id=first_author_id))
assert obj is not None
assert obj.name == "Agatha Christie"
with pytest.raises(RepositoryError):
_ = await author_repo.get_one(name="I don't exist")
async def test_repo_get_or_upsert_method(author_repo: AnyAuthorRepository, first_author_id: Any) -> None:
existing_obj, existing_created = await maybe_async(author_repo.get_or_upsert(name="Agatha Christie"))
assert str(existing_obj.id) == str(first_author_id)
assert existing_created is False
new_obj, new_created = await maybe_async(author_repo.get_or_upsert(name="New Author"))
assert new_obj.id is not None
assert new_obj.name == "New Author"
assert new_created
async def test_repo_get_or_upsert_match_filter(author_repo: AnyAuthorRepository, first_author_id: Any) -> None:
now = datetime.datetime.now()
existing_obj, existing_created = await maybe_async(
author_repo.get_or_upsert(match_fields="name", name="Agatha Christie", dob=now.date()),
)
assert str(existing_obj.id) == str(first_author_id)
assert existing_obj.dob == now.date()
assert existing_created is False
async def test_repo_get_or_upsert_match_filter_no_upsert(
author_repo: AnyAuthorRepository,
first_author_id: Any,
) -> None:
now = datetime.datetime.now()
existing_obj, existing_created = await maybe_async(
author_repo.get_or_upsert(match_fields="name", upsert=False, name="Agatha Christie", dob=now.date()),
)
assert str(existing_obj.id) == str(first_author_id)
assert existing_obj.dob != now.date()
assert existing_created is False
async def test_repo_get_and_update(author_repo: AnyAuthorRepository, first_author_id: Any) -> None:
existing_obj, existing_updated = await maybe_async(
author_repo.get_and_update(name="Agatha Christie"),
)
assert str(existing_obj.id) == str(first_author_id)
assert existing_updated is False
async def test_repo_get_and_upsert_match_filter(author_repo: AnyAuthorRepository, first_author_id: Any) -> None:
now = datetime.datetime.now()
with pytest.raises(NotFoundError):
_ = await maybe_async(
author_repo.get_and_update(match_fields="name", name="Agatha Christie123", dob=now.date()),
)
with pytest.raises(NotFoundError):
_ = await maybe_async(
author_repo.get_and_update(name="Agatha Christie123"),
)
async def test_repo_upsert_method(
author_repo: AnyAuthorRepository,
first_author_id: Any,
author_model: AuthorModel,
new_pk_id: Any,
) -> None:
existing_obj = await maybe_async(author_repo.get_one(name="Agatha Christie"))
existing_obj.name = "Agatha C."
upsert_update_obj = await maybe_async(author_repo.upsert(existing_obj))
assert str(upsert_update_obj.id) == str(first_author_id)
assert upsert_update_obj.name == "Agatha C."
upsert_insert_obj = await maybe_async(author_repo.upsert(author_model(name="An Author")))
assert upsert_insert_obj.id is not None
assert upsert_insert_obj.name == "An Author"
# ensures that it still works even if the ID is added before insert
upsert2_insert_obj = await maybe_async(author_repo.upsert(author_model(id=new_pk_id, name="Another Author")))
assert upsert2_insert_obj.id is not None
assert upsert2_insert_obj.name == "Another Author"
_ = await maybe_async(author_repo.get_one(name="Leo Tolstoy"))
# ensures that it still works even if the ID isn't set on an existing key
new_dob = datetime.datetime.strptime("2028-09-09", "%Y-%m-%d").date()
upsert3_update_obj = await maybe_async(
author_repo.upsert(
author_model(name="Leo Tolstoy", dob=new_dob),
match_fields=["name"],
),
)
if not isinstance(author_repo, (SQLAlchemyAsyncMockRepository, SQLAlchemySyncMockRepository)):
assert upsert3_update_obj.id in {UUID("5ef29f3c-3560-4d15-ba6b-a2e5c721e4d2"), 2024}
assert upsert3_update_obj.name == "Leo Tolstoy"
assert upsert3_update_obj.dob == new_dob
async def test_repo_upsert_many_method(
author_repo: AnyAuthorRepository,
author_model: AuthorModel,
) -> None:
if author_repo._dialect.name.startswith("spanner") and os.environ.get("SPANNER_EMULATOR_HOST"): # pyright: ignore[reportPrivateUsage]
pytest.skip(
"Skipped on emulator. See the following: https://github.com/GoogleCloudPlatform/cloud-spanner-emulator/issues/73",
)
existing_obj = await maybe_async(author_repo.get_one(name="Agatha Christie"))
existing_obj.name = "Agatha C."
upsert_update_objs = await maybe_async(
author_repo.upsert_many(
[
existing_obj,
author_model(name="Inserted Author"),
author_model(name="Custom Author"),
],
),
)
assert len(upsert_update_objs) == 3
assert upsert_update_objs[0].id is not None
assert upsert_update_objs[0].name in ("Agatha C.", "Inserted Author", "Custom Author")
assert upsert_update_objs[1].id is not None
assert upsert_update_objs[1].name in ("Agatha C.", "Inserted Author", "Custom Author")
assert upsert_update_objs[2].id is not None
assert upsert_update_objs[2].name in ("Agatha C.", "Inserted Author", "Custom Author")
async def test_repo_upsert_many_method_match(
author_repo: AnyAuthorRepository,
author_model: AuthorModel,
) -> None:
if author_repo._dialect.name.startswith("spanner") and os.environ.get("SPANNER_EMULATOR_HOST"): # pyright: ignore[reportPrivateUsage]
pytest.skip(
"Skipped on emulator. See the following: https://github.com/GoogleCloudPlatform/cloud-spanner-emulator/issues/73",
)
existing_obj = await maybe_async(author_repo.get_one(name="Agatha Christie"))
existing_obj.name = "Agatha C."
upsert_update_objs = await maybe_async(
author_repo.upsert_many(
data=[
existing_obj,
author_model(name="Inserted Author"),
author_model(name="Custom Author"),
],
match_fields=["id"],
),
)
assert len(upsert_update_objs) == 3
async def test_repo_upsert_many_method_match_non_id(
author_repo: AnyAuthorRepository,
author_model: AuthorModel,
) -> None:
if author_repo._dialect.name.startswith("spanner") and os.environ.get("SPANNER_EMULATOR_HOST"): # pyright: ignore[reportPrivateUsage]
pytest.skip(
"Skipped on emulator. See the following: https://github.com/GoogleCloudPlatform/cloud-spanner-emulator/issues/73",
)
existing_count = await maybe_async(author_repo.count())
existing_obj = await maybe_async(author_repo.get_one(name="Agatha Christie"))
existing_obj.name = "Agatha C."
_ = await maybe_async(
author_repo.upsert_many(
data=[
existing_obj,
author_model(name="Inserted Author"),
author_model(name="Custom Author"),
],
match_fields=["name"],
),
)
existing_count_now = await maybe_async(author_repo.count())
assert existing_count_now > existing_count
async def test_repo_upsert_many_method_match_not_on_input(
author_repo: AnyAuthorRepository,
author_model: AuthorModel,
) -> None:
if author_repo._dialect.name.startswith("spanner") and os.environ.get("SPANNER_EMULATOR_HOST"): # pyright: ignore[reportPrivateUsage]
pytest.skip(
"Skipped on emulator. See the following: https://github.com/GoogleCloudPlatform/cloud-spanner-emulator/issues/73",
)
existing_count = await maybe_async(author_repo.count())
existing_obj = await maybe_async(author_repo.get_one(name="Agatha Christie"))
existing_obj.name = "Agatha C."
_ = await maybe_async(
author_repo.upsert_many(
data=[
existing_obj,
author_model(name="Inserted Author"),
author_model(name="Custom Author"),
],
match_fields=["id"],
),
)
existing_count_now = await maybe_async(author_repo.count())
assert existing_count_now > existing_count
async def test_repo_filter_before_after(author_repo: AnyAuthorRepository) -> None:
before_filter = BeforeAfter(
field_name="created_at",
before=datetime.datetime.strptime("2023-05-01T00:00:00", "%Y-%m-%dT%H:%M:%S").astimezone(datetime.timezone.utc),
after=None,
)
existing_obj = await maybe_async(author_repo.list(before_filter))
assert existing_obj[0].name == "Leo Tolstoy"
after_filter = BeforeAfter(
field_name="created_at",
after=datetime.datetime.strptime("2023-03-01T00:00:00", "%Y-%m-%dT%H:%M:%S").astimezone(datetime.timezone.utc),
before=None,
)
existing_obj = await maybe_async(author_repo.list(after_filter))
assert existing_obj[0].name == "Agatha Christie"
async def test_repo_filter_on_before_after(author_repo: AnyAuthorRepository) -> None:
before_filter = OnBeforeAfter(
field_name="created_at",
on_or_before=datetime.datetime.strptime("2023-05-01T00:00:00", "%Y-%m-%dT%H:%M:%S").astimezone(
datetime.timezone.utc
),
on_or_after=None,
)
existing_obj = await maybe_async(
author_repo.list(*[before_filter, OrderBy(field_name="created_at", sort_order="desc")]), # type: ignore
)
assert existing_obj[0].name == "Agatha Christie"
after_filter = OnBeforeAfter(
field_name="created_at",
on_or_after=datetime.datetime.strptime("2023-03-01T00:00:00", "%Y-%m-%dT%H:%M:%S").astimezone(
datetime.timezone.utc
),
on_or_before=None,
)
existing_obj = await maybe_async(
author_repo.list(*[after_filter, OrderBy(field_name="created_at", sort_order="desc")]), # type: ignore
)
assert existing_obj[0].name == "Agatha Christie"
async def test_repo_filter_search(author_repo: AnyAuthorRepository) -> None:
existing_obj = await maybe_async(author_repo.list(SearchFilter(field_name="name", value="gath", ignore_case=False)))
assert existing_obj[0].name == "Agatha Christie"
existing_obj = await maybe_async(author_repo.list(SearchFilter(field_name="name", value="GATH", ignore_case=False)))
# sqlite & mysql are case insensitive by default with a `LIKE`
dialect = author_repo.session.bind.dialect.name if author_repo.session.bind else "default"
expected_objs = 1 if dialect in {"sqlite", "mysql", "mssql"} else 0
assert len(existing_obj) == expected_objs
existing_obj = await maybe_async(author_repo.list(SearchFilter(field_name="name", value="GATH", ignore_case=True)))
assert existing_obj[0].name == "Agatha Christie"
async def test_repo_filter_search_multi_field(author_repo: AnyAuthorRepository) -> None:
existing_obj = await maybe_async(
author_repo.list(SearchFilter(field_name={"name", "string_field"}, value="gath", ignore_case=False)),
)
assert existing_obj[0].name == "Agatha Christie"
existing_obj = await maybe_async(
author_repo.list(SearchFilter(field_name={"name", "string_field"}, value="GATH", ignore_case=False)),
)
# sqlite & mysql are case insensitive by default with a `LIKE`
dialect = author_repo.session.bind.dialect.name if author_repo.session.bind else "default"
expected_objs = 1 if dialect in {"sqlite", "mysql", "mssql"} else 0
assert len(existing_obj) == expected_objs
existing_obj = await maybe_async(
author_repo.list(SearchFilter(field_name={"name", "string_field"}, value="GATH", ignore_case=True)),
)
assert existing_obj[0].name == "Agatha Christie"
async def test_repo_filter_not_in_search(author_repo: AnyAuthorRepository) -> None:
existing_obj = await maybe_async(
author_repo.list(NotInSearchFilter(field_name="name", value="gath", ignore_case=False)),
)
assert existing_obj[0].name == "Leo Tolstoy"
existing_obj = await maybe_async(
author_repo.list(NotInSearchFilter(field_name="name", value="GATH", ignore_case=False)),
)
# sqlite & mysql are case insensitive by default with a `LIKE`
dialect = author_repo.session.bind.dialect.name if author_repo.session.bind else "default"
expected_objs = 1 if dialect in {"sqlite", "mysql", "mssql"} else 2
assert len(existing_obj) == expected_objs
existing_obj = await maybe_async(
author_repo.list(NotInSearchFilter(field_name={"name", "string_field"}, value="GATH", ignore_case=True)),
)
assert existing_obj[0].name == "Leo Tolstoy"
async def test_repo_filter_not_in_search_multi_field(author_repo: AnyAuthorRepository) -> None:
existing_obj = await maybe_async(
author_repo.list(NotInSearchFilter(field_name={"name", "string_field"}, value="gath", ignore_case=False)),
)
assert existing_obj[0].name == "Leo Tolstoy"
existing_obj = await maybe_async(
author_repo.list(NotInSearchFilter(field_name={"name", "string_field"}, value="GATH", ignore_case=False)),
)
# sqlite & mysql are case insensitive by default with a `LIKE`
dialect = author_repo.session.bind.dialect.name if author_repo.session.bind else "default"
expected_objs = 1 if dialect in {"sqlite", "mysql", "mssql"} else 2
assert len(existing_obj) == expected_objs
existing_obj = await maybe_async(
author_repo.list(NotInSearchFilter(field_name={"name", "string_field"}, value="GATH", ignore_case=True)),
)
assert existing_obj[0].name == "Leo Tolstoy"
async def test_repo_filter_order_by(author_repo: AnyAuthorRepository) -> None:
existing_obj = await maybe_async(author_repo.list(OrderBy(field_name="created_at", sort_order="desc")))
assert existing_obj[0].name == "Agatha Christie"
existing_obj = await maybe_async(author_repo.list(OrderBy(field_name="created_at", sort_order="asc")))
assert existing_obj[0].name == "Leo Tolstoy"
async def test_repo_filter_collection(
author_repo: AnyAuthorRepository,
existing_author_ids: Generator[Any, None, None],
) -> None:
first_author_id = next(existing_author_ids)
second_author_id = next(existing_author_ids)
existing_obj = await maybe_async(author_repo.list(CollectionFilter(field_name="id", values=[first_author_id])))
assert existing_obj[0].name == "Agatha Christie"
existing_obj = await maybe_async(author_repo.list(CollectionFilter(field_name="id", values=[second_author_id])))
assert existing_obj[0].name == "Leo Tolstoy"
async def test_repo_filter_no_obj_collection(
author_repo: AnyAuthorRepository,
) -> None:
no_obj = await maybe_async(author_repo.list(CollectionFilter[str](field_name="id", values=[])))
assert no_obj == []
async def test_repo_filter_null_collection(
author_repo: AnyAuthorRepository,
) -> None:
no_obj = await maybe_async(author_repo.list(CollectionFilter[str](field_name="id", values=None)))
assert len(no_obj) > 0
async def test_repo_filter_not_in_collection(
author_repo: AnyAuthorRepository,
existing_author_ids: Generator[Any, None, None],
) -> None:
first_author_id = next(existing_author_ids)
second_author_id = next(existing_author_ids)
existing_obj = await maybe_async(author_repo.list(NotInCollectionFilter(field_name="id", values=[first_author_id])))
assert existing_obj[0].name == "Leo Tolstoy"
existing_obj = await maybe_async(
author_repo.list(NotInCollectionFilter(field_name="id", values=[second_author_id])),
)
assert existing_obj[0].name == "Agatha Christie"
async def test_repo_filter_not_in_no_obj_collection(
author_repo: AnyAuthorRepository,
) -> None:
existing_obj = await maybe_async(author_repo.list(NotInCollectionFilter[str](field_name="id", values=[])))
assert len(existing_obj) > 0
async def test_repo_filter_not_in_null_collection(
author_repo: AnyAuthorRepository,
) -> None:
existing_obj = await maybe_async(author_repo.list(NotInCollectionFilter[str](field_name="id", values=None)))
assert len(existing_obj) > 0
async def test_repo_json_methods(
raw_rules_uuid: RawRecordData,
rule_repo: RuleRepository,
rule_service: RuleService,
rule_model: RuleModel,
) -> None:
if rule_repo._dialect.name.startswith("spanner") and os.environ.get("SPANNER_EMULATOR_HOST"): # pyright: ignore[reportPrivateUsage]
pytest.skip("Skipped on emulator")
exp_count = len(raw_rules_uuid) + 1
new_rule = rule_model(name="Testing", config={"an": "object"})
obj = await maybe_async(rule_repo.add(new_rule))
count = await maybe_async(rule_repo.count())
assert exp_count == count
assert isinstance(obj, rule_model)
assert new_rule.name == obj.name
assert new_rule.config == obj.config # pyright: ignore
assert obj.id is not None
obj.config = {"the": "update"}
updated = await maybe_async(rule_repo.update(obj))
assert obj.config == updated.config # pyright: ignore
get_obj, get_created = await maybe_async(
rule_repo.get_or_upsert(match_fields=["name"], name="Secondary loading rule.", config={"another": "object"}),
)
assert get_created is False
assert get_obj.id is not None
assert get_obj.config == {"another": "object"} # pyright: ignore
new_obj, new_created = await maybe_async(
rule_repo.get_or_upsert(match_fields=["name"], name="New rule.", config={"new": "object"}),
)
assert new_created is True
assert new_obj.id is not None
assert new_obj.config == {"new": "object"} # pyright: ignore
async def test_repo_fetched_value(
model_with_fetched_value_repo: ModelWithFetchedValueRepository,
model_with_fetched_value: ModelWithFetchedValue,
request: FixtureRequest,
) -> None:
if any(fixture in request.fixturenames for fixture in ["mock_async_engine", "mock_sync_engine"]):
pytest.skip(f"{SQLAlchemyAsyncMockRepository.__name__} does not works with fetched values")
obj = await maybe_async(model_with_fetched_value_repo.add(model_with_fetched_value(val=1)))
first_time = obj.updated
assert first_time is not None
assert obj.val == 1
await maybe_async(model_with_fetched_value_repo.session.commit())
await maybe_async(asyncio.sleep(2))
obj.val = 2
obj = await maybe_async(model_with_fetched_value_repo.update(obj))
assert obj.updated is not None
assert obj.val == 2
assert obj.updated != first_time
async def test_lazy_load(
item_repo: ItemRepository,
tag_repo: TagRepository,
item_model: ItemModel,
tag_model: TagModel,
) -> None:
if getattr(tag_repo, "__collection__", None) is not None:
pytest.skip("Skipping lazy load testing on Mock repositories.")
tag_obj = await maybe_async(tag_repo.add(tag_model(name="A new tag")))
assert tag_obj
new_items = await maybe_async(
item_repo.add_many([item_model(name="The first item"), item_model(name="The second item")]),
)
await maybe_async(item_repo.session.commit())
await maybe_async(tag_repo.session.commit())
assert len(new_items) > 0
first_item_id = new_items[0].id
new_items[1].id
update_data = {
"name": "A modified Name",
"tag_names": ["A new tag"],
"id": first_item_id,
}
tags_to_add = await maybe_async(tag_repo.list(CollectionFilter("name", update_data.pop("tag_names", [])))) # type: ignore
assert len(tags_to_add) > 0 # pyright: ignore
assert tags_to_add[0].id is not None # pyright: ignore
update_data["tags"] = tags_to_add # type: ignore[assignment]
updated_obj = await maybe_async(item_repo.update(item_model(**update_data), auto_refresh=False))
await maybe_async(item_repo.session.commit())
assert len(updated_obj.tags) > 0
assert updated_obj.tags[0].name == "A new tag"
async def test_repo_health_check(author_repo: AnyAuthorRepository) -> None:
healthy = await maybe_async(author_repo.check_health(author_repo.session))
assert healthy
async def test_repo_custom_statement(author_repo: AnyAuthorRepository, author_service: AuthorService) -> None:
"""Test Repo with custom statement
Args:
author_repo: The author mock repository
"""
service_type = type(author_service)
new_service = service_type(session=author_repo.session, statement=select(author_repo.model_type))
assert await maybe_async(new_service.count()) == 2
async def test_repo_error_messages(author_repo: AnyAuthorRepository, first_author_id: Any) -> None:
if isinstance(author_repo, (SQLAlchemyAsyncMockRepository, SQLAlchemySyncMockRepository)):
pytest.skip("Skipping mock repo does not works with fetched values")
obj = await maybe_async(author_repo.get_one(id=first_author_id))
assert obj is not None
assert obj.name == "Agatha Christie"
with pytest.raises(IntegrityError):
_ = await author_repo.add(author_repo.model_type(id=first_author_id, name="Agatha Christie"))
async def test_repo_encrypted_methods(
raw_secrets_uuid: RawRecordData,
secret_repo: SecretRepository,
raw_secrets: RawRecordData,
first_secret_id: Any,
secret_model: SecretModel,
) -> None:
existing_obj = await maybe_async(secret_repo.get(first_secret_id))
assert existing_obj.secret == raw_secrets[0]["secret"]
assert existing_obj.long_secret == raw_secrets[0]["long_secret"]
exp_count = len(raw_secrets_uuid) + 1
new_secret = secret_model(secret="hidden data", long_secret="another longer secret")
obj = await maybe_async(secret_repo.add(new_secret))
count = await maybe_async(secret_repo.count())
assert exp_count == count
assert isinstance(obj, secret_model)
assert new_secret.secret == obj.secret
assert new_secret.long_secret == obj.long_secret
assert obj.id is not None
obj.secret = "new secret value"
obj.long_secret = "new long secret value"
updated = await maybe_async(secret_repo.update(obj))
assert obj.secret == updated.secret
assert obj.long_secret == updated.long_secret
async def test_encrypted_string_length_validation(
request: FixtureRequest, secret_repo: SecretRepository, secret_model: SecretModel
) -> None:
"""Test that EncryptedString enforces length validation.
Args:
secret_repo: The secret repository
secret_model: The secret model class
"""
if any(fixture in request.fixturenames for fixture in ["mock_async_engine", "mock_sync_engine"]):
pytest.skip(
f"{SQLAlchemyAsyncMockRepository.__name__} does not works with client side validated encrypted strings lengths"
)
# Test valid length
valid_secret = "AAAAAAAAA"
secret = secret_model(secret="test", long_secret="test", length_validated_secret=valid_secret)
saved_secret = await maybe_async(secret_repo.add(secret))
assert saved_secret.length_validated_secret == valid_secret
# Test exceeding length
long_secret = "A" * 51 # Exceeds 50 character limit
with pytest.raises(IntegrityError) as exc_info:
secret = secret_model(secret="test", long_secret="test", length_validated_secret=long_secret)
await maybe_async(secret_repo.add(secret))
assert exc_info.value.__class__.__name__ == "IntegrityError"
assert "exceeds maximum unencrypted length" in str(exc_info.value.detail)
# service tests
async def test_service_filter_search(author_service: AuthorService) -> None:
existing_obj = await maybe_async(
author_service.list(SearchFilter(field_name="name", value="gath", ignore_case=False)),
)
assert existing_obj[0].name == "Agatha Christie"
existing_obj = await maybe_async(
author_service.list(SearchFilter(field_name="name", value="GATH", ignore_case=False)),
)
# sqlite & mysql are case insensitive by default with a `LIKE`
dialect = (
author_service.repository.session.bind.dialect.name if author_service.repository.session.bind else "default"
)
expected_objs = 1 if dialect in {"sqlite", "mysql", "mssql"} else 0
assert len(existing_obj) == expected_objs
existing_obj = await maybe_async(
author_service.list(SearchFilter(field_name="name", value="GATH", ignore_case=True)),
)
assert existing_obj[0].name == "Agatha Christie"
async def test_service_count_method(author_service: AuthorService) -> None:
"""Test SQLAlchemy count.
Args:
author_service: The author mock repository
"""
assert await maybe_async(author_service.count()) == 2
async def test_service_count_method_with_filters(raw_authors: RawRecordData, author_service: AuthorService) -> None:
"""Test SQLAlchemy count with filters.
Args:
author_service: The author mock repository
"""
if issubclass(author_service.repository_type, (SQLAlchemyAsyncMockRepository, SQLAlchemySyncMockRepository)): # type: ignore[unreachable,unused-ignore]
assert (
await maybe_async(
author_service.count(
**{author_service.repository.model_type.name.key: raw_authors[0]["name"]},
),
)
== 1
)
else:
assert (
await maybe_async(
author_service.count(
author_service.repository.model_type.name == raw_authors[0]["name"],
),
)
== 1
)
async def test_service_list_and_count_method(raw_authors: RawRecordData, author_service: AuthorService) -> None:
"""Test SQLAlchemy list with count in asyncpg.
Args:
raw_authors: list of authors pre-seeded into the mock repository
author_service: The author mock repository
"""
exp_count = len(raw_authors)
collection, count = await maybe_async(author_service.list_and_count())
assert exp_count == count
assert isinstance(collection, list)
assert len(collection) == exp_count
async def test_service_list_and_count_method_with_filters(
raw_authors: RawRecordData,
author_service: AuthorService,
) -> None:
"""Test SQLAlchemy list with count and filters in asyncpg.
Args:
raw_authors: list of authors pre-seeded into the mock repository
author_service: The author mock repository
"""
exp_name = raw_authors[0]["name"]
exp_id = raw_authors[0]["id"]
if isinstance(author_service.repository, (SQLAlchemyAsyncMockRepository, SQLAlchemySyncMockRepository)):
collection, count = await maybe_async( # pyright: ignore
author_service.list_and_count(**{author_service.repository.model_type.name.key: exp_name}), # pyright: ignore
)
else:
collection, count = await maybe_async(
author_service.list_and_count(author_service.repository.model_type.name == exp_name),
)
assert count == 1
assert isinstance(collection, list)
assert len(collection) == 1
assert str(collection[0].id) == str(exp_id)
assert collection[0].name == exp_name
async def test_service_list_and_count_basic_method(raw_authors: RawRecordData, author_service: AuthorService) -> None:
"""Test SQLAlchemy basic list with count in asyncpg.
Args:
raw_authors: list of authors pre-seeded into the mock repository
author_service: The author mock repository
"""
exp_count = len(raw_authors)
collection, count = await maybe_async(author_service.list_and_count(count_with_window_function=False))
assert exp_count == count
assert isinstance(collection, list)
assert len(collection) == exp_count
async def test_service_list_and_count_method_empty(book_service: BookService) -> None:
collection, count = await maybe_async(book_service.list_and_count())
assert count == 0
assert isinstance(collection, list)
assert len(collection) == 0
async def test_service_list_method(
raw_authors_uuid: RawRecordData,
author_service: AuthorService,
) -> None:
exp_count = len(raw_authors_uuid)
collection = await maybe_async(author_service.list())
assert isinstance(collection, list)
assert len(collection) == exp_count
async def test_service_list_method_with_filters(raw_authors: RawRecordData, author_service: AuthorService) -> None:
exp_name = raw_authors[0]["name"]
exp_id = raw_authors[0]["id"]
if issubclass(author_service.repository_type, (SQLAlchemyAsyncMockRepository, SQLAlchemySyncMockRepository)):
collection = await maybe_async( # pyright: ignore
author_service.list(
**{
author_service.repository.model_type.id.key: exp_id, # type: ignore[union-attr]
author_service.repository.model_type.name.key: exp_name,
},
),
)
else:
collection = await maybe_async(
author_service.list(
and_(
author_service.repository.model_type.id == exp_id,
author_service.repository.model_type.name == exp_name,
),
),
)
assert isinstance(collection, list)
assert len(collection) == 1
assert str(collection[0].id) == str(exp_id)
assert collection[0].name == exp_name
async def test_service_create_method(
raw_authors: RawRecordData,
author_service: AuthorService,
author_model: AuthorModel,
) -> None:
exp_count = len(raw_authors) + 1
new_author = author_model(name="Testing", dob=datetime.datetime.now().date())
obj = await maybe_async(author_service.create(new_author))
count = await maybe_async(author_service.count())
assert exp_count == count
assert isinstance(obj, author_model)
assert new_author.name == obj.name
assert obj.id is not None
async def test_service_create_many_method(
raw_authors: RawRecordData,
author_service: AuthorService,
author_model: AuthorModel,
) -> None:
exp_count = len(raw_authors) + 2
objs = await maybe_async(
author_service.create_many(
[
author_model(name="Testing 2", dob=datetime.datetime.now().date()),
author_model(name="Cody", dob=datetime.datetime.now().date()),
],
),
)
count = await maybe_async(author_service.count())
assert exp_count == count
assert isinstance(objs, list)
assert len(objs) == 2
for obj in objs:
assert obj.id is not None
assert obj.name in {"Testing 2", "Cody"}
async def test_service_update_many_method(author_service: AuthorService) -> None:
if author_service.repository._dialect.name.startswith("spanner") and os.environ.get("SPANNER_EMULATOR_HOST"): # pyright: ignore[reportPrivateUsage,reportUnknownMemberType,reportAttributeAccessIssue]
pytest.skip("Skipped on emulator")
objs = await maybe_async(author_service.list())
for idx, obj in enumerate(objs):
obj.name = f"Update {idx}"
objs = await maybe_async(author_service.update_many(list(objs)))
for obj in objs:
assert obj.name.startswith("Update")
async def test_service_exists_method(author_service: AuthorService, first_author_id: Any) -> None:
exists = await maybe_async(author_service.exists(id=first_author_id))
assert exists
async def test_service_update_method_item_id(author_service: AuthorService, first_author_id: Any) -> None:
obj = await maybe_async(author_service.get(first_author_id))
obj.name = "Updated Name2"
updated_obj = await maybe_async(author_service.update(item_id=first_author_id, data=obj))
assert updated_obj.name == obj.name
async def test_service_update_method_no_item_id(author_service: AuthorService, first_author_id: Any) -> None:
obj = await maybe_async(author_service.get(first_author_id))
obj.name = "Updated Name2"
updated_obj = await maybe_async(author_service.update(data=obj))
assert str(updated_obj.id) == str(first_author_id)
assert updated_obj.name == obj.name
async def test_service_update_method_data_is_dict(author_service: AuthorService, first_author_id: Any) -> None:
new_date = datetime.datetime.date(datetime.datetime.now())
updated_obj = await maybe_async(
author_service.update(item_id=first_author_id, data={"dob": new_date}),
)
assert updated_obj.dob == new_date
# ensure the other fields are not affected
assert updated_obj.name == "Agatha Christie"
async def test_service_update_method_data_is_dict_with_none_value(
author_service: AuthorService,
first_author_id: Any,
) -> None:
updated_obj = await maybe_async(author_service.update(item_id=first_author_id, data={"dob": None}))
assert cast(Union[datetime.date, None], updated_obj.dob) is None
# ensure the other fields are not affected
assert updated_obj.name == "Agatha Christie"
async def test_service_update_method_instrumented_attribute(
author_service: AuthorService,
first_author_id: Any,
) -> None:
obj = await maybe_async(author_service.get(first_author_id))
id_attribute = get_instrumented_attr(author_service.repository.model_type, "id")
obj.name = "Updated Name2"
updated_obj = await maybe_async(author_service.update(data=obj, id_attribute=id_attribute))
assert str(updated_obj.id) == str(first_author_id)
assert updated_obj.name == obj.name
async def test_service_delete_method(author_service: AuthorService, first_author_id: Any) -> None:
obj = await maybe_async(author_service.delete(first_author_id))
assert str(obj.id) == str(first_author_id)
async def test_service_delete_many_method(author_service: AuthorService, author_model: AuthorModel) -> None:
data_to_insert = [author_model(name="author name %d" % chunk) for chunk in range(2000)]
_ = await maybe_async(author_service.create_many(data_to_insert))
all_objs = await maybe_async(author_service.list())
ids_to_delete = [existing_obj.id for existing_obj in all_objs]
objs = await maybe_async(author_service.delete_many(ids_to_delete))
await maybe_async(author_service.repository.session.commit()) # pyright: ignore[reportUnknownArgumentType,reportUnknownMemberType,reportAttributeAccessIssue]
assert len(objs) > 0
data, count = await maybe_async(author_service.list_and_count())
assert data == []
assert count == 0
async def test_service_delete_where_method_empty(author_service: AuthorService, author_model: AuthorModel) -> None:
data_to_insert = [author_model(name="author name %d" % chunk) for chunk in range(2000)]
_ = await maybe_async(author_service.create_many(data_to_insert))
total_count = await maybe_async(author_service.count())
all_objs = await maybe_async(author_service.delete_where())
assert len(all_objs) == total_count
data, count = await maybe_async(author_service.list_and_count())
assert data == []
assert count == 0
async def test_service_delete_where_method_filter(author_service: AuthorService, author_model: AuthorModel) -> None:
data_to_insert = [author_model(name="delete me") for _ in range(2000)]
_ = await maybe_async(author_service.create_many(data_to_insert))
all_objs = await maybe_async(author_service.delete_where(name="delete me"))
assert len(all_objs) == len(data_to_insert)
count = await maybe_async(author_service.count())
assert count == 2
async def test_service_delete_where_method_search_filter(
author_service: AuthorService,
author_model: AuthorModel,
) -> None:
data_to_insert = [author_model(name="delete me") for _ in range(2000)]
_ = await maybe_async(author_service.create_many(data_to_insert))
all_objs = await maybe_async(author_service.delete_where(NotInSearchFilter(field_name="name", value="delete me")))
assert len(all_objs) == 2
count = await maybe_async(author_service.count())
assert count == len(data_to_insert)
async def test_service_get_method(author_service: AuthorService, first_author_id: Any) -> None:
obj = await maybe_async(author_service.get(first_author_id))
assert obj.name == "Agatha Christie"
async def test_service_get_one_or_none_method(author_service: AuthorService, first_author_id: Any) -> None:
obj = await maybe_async(author_service.get_one_or_none(id=first_author_id))
assert obj is not None
assert obj.name == "Agatha Christie"
none_obj = await maybe_async(author_service.get_one_or_none(name="I don't exist"))
assert none_obj is None
async def test_service_get_one_method(author_service: AuthorService, first_author_id: Any) -> None:
obj = await maybe_async(author_service.get_one(id=first_author_id))
assert obj is not None
assert obj.name == "Agatha Christie"
with pytest.raises(RepositoryError):
_ = await author_service.get_one(name="I don't exist")
async def test_service_get_or_upsert_method(author_service: AuthorService, first_author_id: Any) -> None:
existing_obj, existing_created = await maybe_async(author_service.get_or_upsert(name="Agatha Christie"))
assert str(existing_obj.id) == str(first_author_id)
assert existing_created is False
new_obj, new_created = await maybe_async(author_service.get_or_upsert(name="New Author"))
assert new_obj.id is not None
assert new_obj.name == "New Author"
assert new_created
async def test_service_get_and_update_method(author_service: AuthorService, first_author_id: Any) -> None:
existing_obj, existing_created = await maybe_async(
author_service.get_and_update(name="Agatha Christie", match_fields="name"),
)
assert str(existing_obj.id) == str(first_author_id)
assert existing_created is False
with pytest.raises(NotFoundError):
_ = await maybe_async(author_service.get_and_update(name="New Author"))
async def test_service_upsert_method(
author_service: AuthorService,
first_author_id: Any,
author_model: AuthorModel,
new_pk_id: Any,
) -> None:
existing_obj = await maybe_async(author_service.get_one(name="Agatha Christie"))
existing_obj.name = "Agatha C."
upsert_update_obj = await maybe_async(author_service.upsert(item_id=first_author_id, data=existing_obj))
assert str(upsert_update_obj.id) == str(first_author_id)
assert upsert_update_obj.name == "Agatha C."
upsert_insert_obj = await maybe_async(author_service.upsert(data=author_model(name="An Author")))
assert upsert_insert_obj.id is not None
assert upsert_insert_obj.name == "An Author"
# ensures that it still works even if the ID is added before insert
upsert2_insert_obj = await maybe_async(
author_service.upsert(author_model(id=new_pk_id, name="Another Author")),
)
assert upsert2_insert_obj.id is not None
assert upsert2_insert_obj.name == "Another Author"
async def test_service_upsert_method_match(
author_service: AuthorService,
first_author_id: Any,
author_model: AuthorModel,
new_pk_id: Any,
) -> None:
if author_service.repository._dialect.name.startswith("spanner") and os.environ.get("SPANNER_EMULATOR_HOST"): # pyright: ignore[reportPrivateUsage,reportUnknownMemberType,reportAttributeAccessIssue]
pytest.skip(
"Skipped on emulator. See the following: https://github.com/GoogleCloudPlatform/cloud-spanner-emulator/issues/73",
)
existing_obj = await maybe_async(author_service.get_one(name="Agatha Christie"))
existing_obj.name = "Agatha C."
upsert_update_obj = await maybe_async(
author_service.upsert(data=existing_obj.to_dict(exclude={"id"}), match_fields=["name"]),
)
if not isinstance(author_service.repository, (SQLAlchemyAsyncMockRepository, SQLAlchemySyncMockRepository)):
assert str(upsert_update_obj.id) == str(first_author_id)
assert upsert_update_obj.name == "Agatha C."
upsert_insert_obj = await maybe_async(
author_service.upsert(data=author_model(name="An Author"), match_fields=["name"]),
)
assert upsert_insert_obj.id is not None
assert upsert_insert_obj.name == "An Author"
# ensures that it still works even if the ID is added before insert
upsert2_insert_obj = await maybe_async(
author_service.upsert(author_model(id=new_pk_id, name="Another Author"), match_fields=["name"]),
)
assert upsert2_insert_obj.id is not None
assert upsert2_insert_obj.name == "Another Author"
async def test_service_upsert_many_method(
author_service: AuthorService,
author_model: AuthorModel,
) -> None:
if author_service.repository._dialect.name.startswith("spanner") and os.environ.get("SPANNER_EMULATOR_HOST"): # pyright: ignore[reportPrivateUsage,reportUnknownMemberType,reportAttributeAccessIssue]
pytest.skip(
"Skipped on emulator. See the following: https://github.com/GoogleCloudPlatform/cloud-spanner-emulator/issues/73",
)
existing_obj = await maybe_async(author_service.get_one(name="Agatha Christie"))
existing_obj.name = "Agatha C."
upsert_update_objs = await maybe_async(
author_service.upsert_many(
[
existing_obj,
author_model(name="Inserted Author"),
author_model(name="Custom Author"),
],
),
)
assert len(upsert_update_objs) == 3
assert upsert_update_objs[0].id is not None
assert upsert_update_objs[0].name in ("Agatha C.", "Inserted Author", "Custom Author")
assert upsert_update_objs[1].id is not None
assert upsert_update_objs[1].name in ("Agatha C.", "Inserted Author", "Custom Author")
assert upsert_update_objs[2].id is not None
assert upsert_update_objs[2].name in ("Agatha C.", "Inserted Author", "Custom Author")
async def test_service_upsert_many_method_match_fields_id(
author_service: AuthorService,
author_model: AuthorModel,
) -> None:
if author_service.repository._dialect.name.startswith("spanner") and os.environ.get("SPANNER_EMULATOR_HOST"): # pyright: ignore[reportPrivateUsage,reportUnknownMemberType,reportAttributeAccessIssue]
pytest.skip(
"Skipped on emulator. See the following: https://github.com/GoogleCloudPlatform/cloud-spanner-emulator/issues/73",
)
existing_obj = await maybe_async(author_service.get_one(name="Agatha Christie"))
existing_obj.name = "Agatha C."
upsert_update_objs = await maybe_async(
author_service.upsert_many(
[
existing_obj,
author_model(name="Inserted Author"),
author_model(name="Custom Author"),
],
match_fields=["id"],
),
)
assert len(upsert_update_objs) == 3
assert upsert_update_objs[0].id is not None
assert upsert_update_objs[0].name in ("Agatha C.", "Inserted Author", "Custom Author")
assert upsert_update_objs[1].id is not None
assert upsert_update_objs[1].name in ("Agatha C.", "Inserted Author", "Custom Author")
assert upsert_update_objs[2].id is not None
assert upsert_update_objs[2].name in ("Agatha C.", "Inserted Author", "Custom Author")
async def test_service_upsert_many_method_match_fields_non_id(
author_service: AuthorService,
author_model: AuthorModel,
) -> None:
if author_service.repository._dialect.name.startswith("spanner") and os.environ.get("SPANNER_EMULATOR_HOST"): # pyright: ignore[reportPrivateUsage,reportUnknownMemberType,reportAttributeAccessIssue]
pytest.skip(
"Skipped on emulator. See the following: https://github.com/GoogleCloudPlatform/cloud-spanner-emulator/issues/73",
)
existing_count = await maybe_async(author_service.count())
existing_obj = await maybe_async(author_service.get_one(name="Agatha Christie"))
existing_obj.name = "Agatha C."
_ = await maybe_async(
author_service.upsert_many(
data=[
existing_obj,
author_model(name="Inserted Author"),
author_model(name="Custom Author"),
],
match_fields=["name"],
),
)
existing_count_now = await maybe_async(author_service.count())
assert existing_count_now > existing_count
async def test_service_update_no_pk(author_service: AuthorService) -> None:
with pytest.raises(RepositoryError):
_existing_obj = await maybe_async(author_service.update(data={"name": "Agatha Christie"}))
async def test_service_create_method_slug(
raw_slug_books: RawRecordData,
slug_book_service: SlugBookService,
slug_book_model: SlugBookModel,
) -> None:
new_book = {"title": "a new book!!", "author_id": uuid4().hex}
obj = await maybe_async(slug_book_service.create(new_book))
assert isinstance(obj, slug_book_model)
assert new_book["title"] == obj.title
assert obj.slug == "a-new-book"
assert obj.id is not None
async def test_service_create_method_slug_existing(
raw_slug_books: RawRecordData,
slug_book_service: SlugBookService,
slug_book_model: SlugBookModel,
) -> None:
if isinstance(
slug_book_service.repository_type,
(
SQLAlchemySyncMockSlugRepository,
SQLAlchemyAsyncMockSlugRepository,
SQLAlchemyAsyncMockRepository,
SQLAlchemySyncMockRepository,
),
):
pytest.skip("Skipping additional bigint mock repository tests")
current_count = await maybe_async(slug_book_service.count())
if current_count == 0:
_ = await maybe_async(slug_book_service.create_many(raw_slug_books))
new_book = {"title": "Murder on the Orient Express", "author_id": uuid4().hex}
obj = await maybe_async(slug_book_service.create(new_book))
assert isinstance(obj, slug_book_model)
assert new_book["title"] == obj.title
assert obj.slug != "murder-on-the-orient-express"
assert obj.id is not None
async def test_service_create_many_method_slug(
raw_slug_books: RawRecordData,
slug_book_service: SlugBookService,
slug_book_model: SlugBookModel,
) -> None:
objs = await maybe_async(
slug_book_service.create_many(
[
{"title": " extra!! ", "author_id": uuid4().hex},
{"title": "punctuated Book!!", "author_id": uuid4().hex},
],
),
)
assert isinstance(objs, list)
for obj in objs:
assert obj.id is not None
assert obj.slug in {"extra", "punctuated-book"}
assert obj.title in {" extra!! ", "punctuated Book!!"}
class AuthorStruct(Struct):
name: str
class AuthorBaseModel(BaseModel):
model_config = {"from_attributes": True}
name: str
async def test_service_paginated_to_schema(raw_authors: RawRecordData, author_service: AuthorService) -> None:
"""Test SQLAlchemy list with count in asyncpg.
Args:
raw_authors: list of authors pre-seeded into the mock repository
author_service: The author mock repository
"""
exp_count = len(raw_authors)
collection, count = await maybe_async(author_service.list_and_count())
model_dto = author_service.to_schema(data=collection, total=count)
pydantic_dto = author_service.to_schema(data=collection, total=count, schema_type=AuthorBaseModel)
msgspec_dto = author_service.to_schema(data=collection, total=count, schema_type=AuthorStruct)
assert exp_count == count
assert isinstance(model_dto, OffsetPagination)
assert isinstance(model_dto.items[0].name, str)
assert model_dto.total == exp_count
assert isinstance(pydantic_dto, OffsetPagination)
assert isinstance(pydantic_dto.items[0].name, str) # pyright: ignore
assert pydantic_dto.total == exp_count
assert isinstance(msgspec_dto, OffsetPagination)
assert isinstance(msgspec_dto.items[0].name, str) # pyright: ignore
assert msgspec_dto.total == exp_count
async def test_service_to_schema(
author_service: AuthorService,
first_author_id: Any,
) -> None:
"""Test SQLAlchemy list with count in asyncpg.
Args:
raw_authors: list of authors pre-seeded into the mock repository
author_service: The author mock repository
"""
obj = await maybe_async(author_service.get(first_author_id))
model_dto = author_service.to_schema(data=obj)
pydantic_dto = author_service.to_schema(data=obj, schema_type=AuthorBaseModel)
msgspec_dto = author_service.to_schema(data=obj, schema_type=AuthorStruct)
assert issubclass(AuthorStruct, Struct)
assert issubclass(AuthorBaseModel, BaseModel)
assert isinstance(model_dto.name, str)
assert isinstance(pydantic_dto, BaseModel)
assert isinstance(msgspec_dto, Struct)
assert isinstance(pydantic_dto.name, str) # pyright: ignore
assert isinstance(msgspec_dto.name, str) # pyright: ignore
python-advanced-alchemy-0.34.0/tests/integration/test_sqlquery_service.py 0000664 0000000 0000000 00000023536 14763441450 0027026 0 ustar 00root root 0000000 0000000 from __future__ import annotations
from pathlib import Path
import pytest
from msgspec import Struct
from pydantic import BaseModel
from sqlalchemy import create_engine, select
from sqlalchemy.ext.asyncio import AsyncSession, create_async_engine
from sqlalchemy.orm import DeclarativeBase, Mapped, Session
from advanced_alchemy import base, mixins
from advanced_alchemy.repository import (
SQLAlchemyAsyncRepository,
SQLAlchemySyncRepository,
)
from advanced_alchemy.service import SQLAlchemyAsyncQueryService, SQLAlchemySyncQueryService
from advanced_alchemy.service._async import SQLAlchemyAsyncRepositoryService
from advanced_alchemy.service._sync import SQLAlchemySyncRepositoryService
from advanced_alchemy.service.typing import (
is_msgspec_struct,
is_msgspec_struct_with_field,
is_msgspec_struct_without_field,
is_pydantic_model,
is_pydantic_model_with_field,
is_pydantic_model_without_field,
)
from advanced_alchemy.utils.fixtures import open_fixture, open_fixture_async
pytestmark = [ # type: ignore
pytest.mark.integration,
]
here = Path(__file__).parent
fixture_path = here.parent.parent / "examples"
state_registry = base.create_registry()
class UUIDBase(mixins.UUIDPrimaryKey, base.CommonTableAttributes, DeclarativeBase):
"""Base for all SQLAlchemy declarative models with UUID primary keys."""
registry = state_registry
class USState(UUIDBase):
__tablename__ = "us_state_lookup" # type: ignore[assignment]
abbreviation: Mapped[str]
name: Mapped[str]
class USStateStruct(Struct):
abbreviation: str
name: str
class USStateBaseModel(BaseModel):
abbreviation: str
name: str
class USStateSyncRepository(SQLAlchemySyncRepository[USState]):
"""US State repository."""
model_type = USState
class USStateSyncService(SQLAlchemySyncRepositoryService[USState, USStateSyncRepository]):
"""US State repository."""
repository_type = USStateSyncRepository
class USStateAsyncRepository(SQLAlchemyAsyncRepository[USState]):
"""US State repository."""
model_type = USState
class USStateAsyncService(SQLAlchemyAsyncRepositoryService[USState, USStateAsyncRepository]):
"""US State repository."""
repository_type = USStateAsyncRepository
class StateQuery(base.SQLQuery):
"""Nonsensical query to test custom SQL queries."""
__table__ = select( # type: ignore
USState.abbreviation.label("state_abbreviation"),
USState.name.label("state_name"),
).alias("state_lookup")
__mapper_args__ = {
"primary_key": [USState.abbreviation],
}
state_abbreviation: str
state_name: str
class StateQueryStruct(Struct):
state_abbreviation: str
state_name: str
class StateQueryBaseModel(BaseModel):
state_abbreviation: str
state_name: str
def test_sync_fixture_and_query() -> None:
engine = create_engine("sqlite://")
state_registry.metadata.create_all(engine)
with Session(engine) as session:
state_service = USStateSyncService(session=session)
query_service = SQLAlchemySyncQueryService(session=session)
fixture = open_fixture(fixture_path, USStateSyncRepository.model_type.__tablename__) # type: ignore[has-type]
_add_objs = state_service.create_many(
data=[USStateStruct(**raw_obj) for raw_obj in fixture],
)
_ordered_objs = state_service.list(order_by=(USState.name, True))
assert _ordered_objs[0].name == "Wyoming"
_ordered_objs_2 = state_service.list_and_count(order_by=[(USState.name, True)])
assert _ordered_objs_2[0][0].name == "Wyoming"
query_count = query_service.repository.count(statement=select(StateQuery))
assert query_count > 0
list_query_objs, list_query_count = query_service.repository.list_and_count(
statement=select(StateQuery),
)
assert list_query_count >= 50
_paginated_objs = query_service.to_schema(
data=list_query_objs,
total=list_query_count,
)
_pydantic_paginated_objs = query_service.to_schema(
data=list_query_objs,
total=list_query_count,
schema_type=StateQueryBaseModel,
)
assert isinstance(_pydantic_paginated_objs.items[0], StateQueryBaseModel)
_msgspec_paginated_objs = query_service.to_schema(
data=list_query_objs,
total=list_query_count,
schema_type=StateQueryStruct,
)
assert isinstance(_msgspec_paginated_objs.items[0], StateQueryStruct)
_list_service_objs = query_service.repository.list(statement=select(StateQuery))
assert len(_list_service_objs) >= 50
_get_ones = query_service.repository.list(statement=select(StateQuery), state_name="Alabama")
assert len(_get_ones) == 1
_get_one = query_service.repository.get_one(statement=select(StateQuery), state_name="Alabama")
assert _get_one.state_name == "Alabama"
_get_one_or_none_1 = query_service.repository.get_one_or_none(
statement=select(StateQuery).where(StateQuery.state_name == "Texas"), # type: ignore
)
assert _get_one_or_none_1 is not None
assert _get_one_or_none_1.state_name == "Texas"
_obj = query_service.to_schema(
data=_get_one_or_none_1,
)
_pydantic_obj = query_service.to_schema(
data=_get_one_or_none_1,
schema_type=StateQueryBaseModel,
)
assert isinstance(_pydantic_obj, StateQueryBaseModel)
assert is_pydantic_model(_pydantic_obj)
assert is_pydantic_model_with_field(_pydantic_obj, "state_abbreviation")
assert not is_pydantic_model_without_field(_pydantic_obj, "state_abbreviation")
_msgspec_obj = query_service.to_schema(
data=_get_one_or_none_1,
schema_type=StateQueryStruct,
)
assert isinstance(_msgspec_obj, StateQueryStruct)
assert is_msgspec_struct(_msgspec_obj)
assert is_msgspec_struct_with_field(_msgspec_obj, "state_abbreviation")
assert not is_msgspec_struct_without_field(_msgspec_obj, "state_abbreviation")
_get_one_or_none = query_service.repository.get_one_or_none(
statement=select(StateQuery).filter_by(state_name="Nope"),
)
assert _get_one_or_none is None
async def test_async_fixture_and_query() -> None:
engine = create_async_engine("sqlite+aiosqlite://")
async with engine.begin() as conn:
await conn.run_sync(state_registry.metadata.create_all)
async with AsyncSession(engine) as session:
state_service = USStateAsyncService(session=session)
query_service = SQLAlchemyAsyncQueryService(session=session)
fixture = await open_fixture_async(fixture_path, USStateSyncRepository.model_type.__tablename__)
_add_objs = await state_service.create_many(
data=[USStateBaseModel(**raw_obj) for raw_obj in fixture],
)
_ordered_objs = await state_service.list(order_by=(USState.name, True))
assert _ordered_objs[0].name == "Wyoming"
_ordered_objs_2 = await state_service.list_and_count(order_by=(USState.name, True))
assert _ordered_objs_2[0][0].name == "Wyoming"
query_count = await query_service.repository.count(statement=select(StateQuery))
assert query_count > 0
list_query_objs, list_query_count = await query_service.repository.list_and_count(
statement=select(StateQuery),
)
assert list_query_count >= 50
_paginated_objs = query_service.to_schema(
list_query_objs,
total=list_query_count,
)
_pydantic_paginated_objs = query_service.to_schema(
data=list_query_objs,
total=list_query_count,
schema_type=StateQueryBaseModel,
)
assert isinstance(_pydantic_paginated_objs.items[0], StateQueryBaseModel)
_msgspec_paginated_objs = query_service.to_schema(
data=list_query_objs,
total=list_query_count,
schema_type=StateQueryStruct,
)
assert isinstance(_msgspec_paginated_objs.items[0], StateQueryStruct)
_list_service_objs = await query_service.repository.list(statement=select(StateQuery))
assert len(_list_service_objs) >= 50
_get_ones = await query_service.repository.list(statement=select(StateQuery), state_name="Alabama")
assert len(_get_ones) == 1
_get_one = await query_service.repository.get_one(statement=select(StateQuery), state_name="Alabama")
assert _get_one.state_name == "Alabama"
_get_one_or_none_1 = await query_service.repository.get_one_or_none(
statement=select(StateQuery).where(StateQuery.state_name == "Texas"), # type: ignore
)
assert _get_one_or_none_1 is not None
assert _get_one_or_none_1.state_name == "Texas"
_obj = query_service.to_schema(
data=_get_one_or_none_1,
)
_pydantic_obj = query_service.to_schema(
data=_get_one_or_none_1,
schema_type=StateQueryBaseModel,
)
assert isinstance(_pydantic_obj, StateQueryBaseModel)
assert is_pydantic_model(_pydantic_obj)
assert is_pydantic_model_with_field(_pydantic_obj, "state_abbreviation")
assert not is_pydantic_model_without_field(_pydantic_obj, "state_abbreviation")
_msgspec_obj = query_service.to_schema(
data=_get_one_or_none_1,
schema_type=StateQueryStruct,
)
assert isinstance(_msgspec_obj, StateQueryStruct)
assert is_msgspec_struct(_msgspec_obj)
assert is_msgspec_struct_with_field(_msgspec_obj, "state_abbreviation")
_get_one_or_none = await query_service.repository.get_one_or_none(
select(StateQuery).filter_by(state_name="Nope")
)
assert not is_msgspec_struct_without_field(_msgspec_obj, "state_abbreviation")
assert _get_one_or_none is None
python-advanced-alchemy-0.34.0/tests/integration/test_unique_mixin.py 0000664 0000000 0000000 00000010745 14763441450 0026131 0 ustar 00root root 0000000 0000000 from __future__ import annotations
from collections.abc import Hashable
from typing import TYPE_CHECKING
import pytest
from sqlalchemy import ColumnElement, String, UniqueConstraint, create_engine, func, select
from sqlalchemy.exc import IntegrityError
from sqlalchemy.ext.asyncio import AsyncSession, create_async_engine
from sqlalchemy.orm import Mapped, Session, mapped_column
from advanced_alchemy.base import BigIntBase, create_registry, orm_registry
from advanced_alchemy.exceptions import MultipleResultsFoundError
from advanced_alchemy.mixins import UniqueMixin
if TYPE_CHECKING:
from collections.abc import Iterator
from typing import Any
@pytest.fixture(name="rows")
def generate_mock_data() -> Iterator[list[dict[str, Any]]]:
rows = [{"col_1": i, "col_2": f"value_{i}", "col_3": i} for i in range(1, 3)]
# Duplicate the last row in the list to violate the unique constraint
rows.extend([rows[-1]] * 3) # 3 is arbitrary
yield rows
custom_registry = create_registry()
class BigIntModelWithUniqueValue(UniqueMixin, BigIntBase):
registry = custom_registry
col_1: Mapped[int]
col_2: Mapped[str] = mapped_column(String(50))
col_3: Mapped[int]
__table_args__ = (UniqueConstraint("col_1", "col_3"),)
@classmethod
def unique_hash(cls, col_1: int, col_2: int, col_3: str) -> Hashable:
return (col_1, col_3)
@classmethod
def unique_filter(cls, col_1: int, col_2: int, col_3: str) -> ColumnElement[bool]:
return (cls.col_1 == col_1) & (cls.col_3 == col_3)
class BigIntModelWithMaybeUniqueValue(UniqueMixin, BigIntBase):
registry = custom_registry
col_1: Mapped[int]
col_2: Mapped[str] = mapped_column(String(50))
col_3: Mapped[int]
@classmethod
def unique_hash(cls, col_1: int, col_2: int, col_3: str) -> Hashable:
return (col_1, col_3)
@classmethod
def unique_filter(cls, col_1: int, col_2: int, col_3: str) -> ColumnElement[bool]:
return (cls.col_1 == col_1) & (cls.col_3 == col_3)
def test_as_unique_sync(rows: list[dict[str, Any]]) -> None:
engine = create_engine("sqlite://")
orm_registry.metadata.create_all(engine)
with Session(engine) as session:
session.add_all(BigIntModelWithUniqueValue(**row) for row in rows)
with pytest.raises(IntegrityError):
# An exception should be raised when not using ``as_unique_sync``
session.flush()
with Session(engine) as session:
session.add_all(BigIntModelWithUniqueValue.as_unique_sync(session, **row) for row in rows)
statement = select(func.count()).select_from(BigIntModelWithUniqueValue)
count = session.scalar(statement)
assert count == 2
with Session(engine) as session:
# Add non unique rows on purpose to check if the mixin triggers ``MultipleResultsFound``
session.add_all(BigIntModelWithMaybeUniqueValue(**row) for row in rows)
# flush here so that when the mixin queries the db, the non unique rows are in the transaction
session.flush()
with pytest.raises(MultipleResultsFoundError):
session.add_all(BigIntModelWithMaybeUniqueValue.as_unique_sync(session, **row) for row in rows)
async def test_as_unique_async(rows: list[dict[str, Any]]) -> None:
engine = create_async_engine("sqlite+aiosqlite://")
async with engine.begin() as conn:
await conn.run_sync(orm_registry.metadata.create_all)
async with AsyncSession(engine) as session:
session.add_all(BigIntModelWithUniqueValue(**row) for row in rows)
with pytest.raises(IntegrityError):
# An exception should be raised when not using ``as_unique_async``
await session.flush()
async with AsyncSession(engine) as session:
session.add_all([await BigIntModelWithUniqueValue.as_unique_async(session, **row) for row in rows])
statement = select(func.count()).select_from(BigIntModelWithUniqueValue)
count = await session.scalar(statement)
assert count == 2
async with AsyncSession(engine) as session:
# Add non unique rows on purpose to check if the mixin triggers ``MultipleResultsFound``
session.add_all(BigIntModelWithMaybeUniqueValue(**row) for row in rows)
# flush here so that when the mixin queries the db, the non unique rows are in the transaction
await session.flush()
with pytest.raises(MultipleResultsFoundError):
session.add_all([await BigIntModelWithMaybeUniqueValue.as_unique_async(session, **row) for row in rows])
python-advanced-alchemy-0.34.0/tests/unit/ 0000775 0000000 0000000 00000000000 14763441450 0020433 5 ustar 00root root 0000000 0000000 python-advanced-alchemy-0.34.0/tests/unit/__init__.py 0000664 0000000 0000000 00000000000 14763441450 0022532 0 ustar 00root root 0000000 0000000 python-advanced-alchemy-0.34.0/tests/unit/fixtures.py 0000664 0000000 0000000 00000000247 14763441450 0022661 0 ustar 00root root 0000000 0000000 from __future__ import annotations
from advanced_alchemy.config import SQLAlchemySyncConfig
configs = [SQLAlchemySyncConfig(connection_string="sqlite:///:memory:")]
python-advanced-alchemy-0.34.0/tests/unit/test_base.py 0000664 0000000 0000000 00000007105 14763441450 0022761 0 ustar 00root root 0000000 0000000 # ruff: noqa: TC004, F401
# pyright: reportUnusedImport=false
from __future__ import annotations
import warnings
import pytest
from tests.helpers import purge_module
def test_deprecated_uuid_primary_keys() -> None:
"""Test that using UUIDv7PrimaryKey from base raises a deprecation warning."""
purge_module(["advanced_alchemy.base"], __file__)
with pytest.warns(DeprecationWarning, match="please import it from 'advanced_alchemy.mixins' instead"):
from advanced_alchemy.base import UUIDv7PrimaryKey
with pytest.warns(DeprecationWarning, match="please import it from 'advanced_alchemy.mixins' instead"):
from advanced_alchemy.base import UUIDv6PrimaryKey
with pytest.warns(DeprecationWarning, match="please import it from 'advanced_alchemy.mixins' instead"):
from advanced_alchemy.base import UUIDPrimaryKey
def test_deprecated_slug_mixin() -> None:
"""Test that using SlugMixin from base raises a deprecation warning."""
purge_module(["advanced_alchemy.base", "advanced_alchemy.mixins.slug", "advanced_alchemy.mixins"], __file__)
with pytest.warns(DeprecationWarning, match="please import it from 'advanced_alchemy.mixins' instead"):
from advanced_alchemy.base import SlugKey
def test_deprecated_bigint_primary_key() -> None:
"""Test that using BigIntPrimaryKey from base raises a deprecation warning."""
purge_module(["advanced_alchemy.base", "advanced_alchemy.mixins.bigint", "advanced_alchemy.mixins"], __file__)
with pytest.warns(DeprecationWarning, match="please import it from 'advanced_alchemy.mixins' instead"):
from advanced_alchemy.base import BigIntPrimaryKey
def test_deprecated_nanoid_primary_key() -> None:
"""Test that using NanoIDPrimaryKey from base raises a deprecation warning."""
purge_module(["advanced_alchemy.base", "advanced_alchemy.mixins.nanoid", "advanced_alchemy.mixins"], __file__)
with pytest.warns(DeprecationWarning, match="please import it from 'advanced_alchemy.mixins' instead"):
from advanced_alchemy.base import NanoIDPrimaryKey
def test_deprecated_audit_columns() -> None:
"""Test that using AuditColumns from base raises a deprecation warning."""
purge_module(["advanced_alchemy.base", "advanced_alchemy.mixins.audit", "advanced_alchemy.mixins"], __file__)
with pytest.warns(DeprecationWarning, match="please import it from 'advanced_alchemy.mixins' instead"):
from advanced_alchemy.base import AuditColumns
def test_deprecated_classes_functionality() -> None:
"""Test that deprecated classes maintain functionality while warning."""
purge_module(["advanced_alchemy.base", "advanced_alchemy.mixins"], __file__)
warnings.filterwarnings("ignore", category=DeprecationWarning)
from sqlalchemy import exc as sa_exc
warnings.filterwarnings("ignore", category=sa_exc.SAWarning)
# Test instantiation and basic attributes
from advanced_alchemy.base import AuditColumns, NanoIDPrimaryKey, UUIDPrimaryKey, UUIDv6PrimaryKey, UUIDv7PrimaryKey
uuidv7_pk = UUIDv7PrimaryKey()
uuidv6_pk = UUIDv6PrimaryKey()
uuid_pk = UUIDPrimaryKey()
nanoid_pk = NanoIDPrimaryKey()
audit = AuditColumns()
# Verify the classes have the expected attributes
assert hasattr(uuidv7_pk, "id")
assert hasattr(uuidv7_pk, "_sentinel")
assert hasattr(uuidv6_pk, "id")
assert hasattr(uuidv6_pk, "_sentinel")
assert hasattr(uuid_pk, "id")
assert hasattr(uuid_pk, "_sentinel")
assert hasattr(nanoid_pk, "id")
assert hasattr(nanoid_pk, "_sentinel")
assert hasattr(audit, "created_at")
assert hasattr(audit, "updated_at")
python-advanced-alchemy-0.34.0/tests/unit/test_cli.py 0000664 0000000 0000000 00000014053 14763441450 0022616 0 ustar 00root root 0000000 0000000 from __future__ import annotations
from collections.abc import Generator
from pathlib import Path
from typing import TYPE_CHECKING
from unittest.mock import MagicMock, patch
import pytest
from click.testing import CliRunner
from sqlalchemy.ext.asyncio import AsyncEngine
from advanced_alchemy.cli import add_migration_commands, get_alchemy_group
if TYPE_CHECKING:
from click import Group
@pytest.fixture
def cli_runner() -> Generator[CliRunner, None, None]:
"""Create a Click CLI test runner."""
yield CliRunner()
@pytest.fixture
def mock_config() -> Generator[MagicMock, None, None]:
"""Create a mock SQLAlchemy config."""
config = MagicMock()
config.bind_key = "default"
config.alembic_config.script_location = "migrations"
config.get_engine.return_value = MagicMock(spec=AsyncEngine)
yield config
@pytest.fixture
def mock_context(mock_config: MagicMock) -> Generator[MagicMock, None, None]:
"""Create a mock Click context."""
ctx = MagicMock()
ctx.obj = {"configs": [mock_config]}
yield ctx
@pytest.fixture
def database_cli(mock_context: MagicMock) -> Generator[Group, None, None]:
"""Create the database CLI group."""
cli_group = get_alchemy_group()
cli_group = add_migration_commands()
cli_group.ctx = mock_context # pyright: ignore[reportAttributeAccessIssue]
yield cli_group
def test_show_current_revision(cli_runner: CliRunner, database_cli: Group, mock_context: MagicMock) -> None:
"""Test the show-current-revision command."""
with patch("advanced_alchemy.alembic.commands.AlembicCommands") as mock_alembic:
result = cli_runner.invoke(
database_cli,
["--config", "tests.unit.fixtures.configs", "show-current-revision"],
)
assert result.exit_code == 0
mock_alembic.assert_called_once()
mock_alembic.return_value.current.assert_called_once_with(verbose=False)
@pytest.mark.parametrize("no_prompt", [True, False])
def test_downgrade_database(
cli_runner: CliRunner, database_cli: Group, mock_context: MagicMock, no_prompt: bool
) -> None:
"""Test the downgrade command."""
with patch("advanced_alchemy.alembic.commands.AlembicCommands") as mock_alembic:
args = ["--config", "tests.unit.fixtures.configs", "downgrade"]
if no_prompt:
args.append("--no-prompt")
result = cli_runner.invoke(database_cli, args)
if no_prompt:
assert result.exit_code == 0
mock_alembic.assert_called_once()
mock_alembic.return_value.downgrade.assert_called_once_with(revision="-1", sql=False, tag=None)
else:
# it's going to be -1 because we abort the task since we don't fill in the prompt
assert result.exit_code == 1
# When prompting is enabled, we need to check if the confirmation was shown
assert "Are you sure you want to downgrade" in result.output
@pytest.mark.parametrize("no_prompt", [True, False])
def test_upgrade_database(cli_runner: CliRunner, database_cli: Group, mock_context: MagicMock, no_prompt: bool) -> None:
"""Test the upgrade command."""
with patch("advanced_alchemy.alembic.commands.AlembicCommands") as mock_alembic:
args = ["--config", "tests.unit.fixtures.configs", "upgrade", "head"]
if no_prompt:
args.append("--no-prompt")
result = cli_runner.invoke(database_cli, args)
if no_prompt:
assert result.exit_code == 0
mock_alembic.assert_called_once()
mock_alembic.return_value.upgrade.assert_called_once_with(revision="head", sql=False, tag=None)
else:
# it's going to be -1 because we abort the task since we don't fill in the prompt
assert result.exit_code == 1
assert "Are you sure you want migrate the database" in result.output
def test_init_alembic(cli_runner: CliRunner, database_cli: Group, mock_context: MagicMock) -> None:
"""Test the init command."""
with patch("advanced_alchemy.alembic.commands.AlembicCommands") as mock_alembic:
result = cli_runner.invoke(
database_cli,
["--config", "tests.unit.fixtures.configs", "init", "--no-prompt", "migrations"],
)
assert result.exit_code == 0
mock_alembic.assert_called_once()
mock_alembic.return_value.init.assert_called_once_with(directory="migrations", multidb=False, package=True)
def test_make_migrations(cli_runner: CliRunner, database_cli: Group, mock_context: MagicMock) -> None:
"""Test the make-migrations command."""
with patch("advanced_alchemy.alembic.commands.AlembicCommands") as mock_alembic:
result = cli_runner.invoke(
database_cli,
["--config", "tests.unit.fixtures.configs", "make-migrations", "--no-prompt", "-m", "test migration"],
)
assert result.exit_code == 0
mock_alembic.assert_called_once()
mock_alembic.return_value.revision.assert_called_once()
def test_drop_all(cli_runner: CliRunner, database_cli: Group, mock_context: MagicMock) -> None:
"""Test the drop-all command."""
result = cli_runner.invoke(database_cli, ["--config", "tests.unit.fixtures.configs", "drop-all", "--no-prompt"])
assert result.exit_code == 0
def test_dump_data(cli_runner: CliRunner, database_cli: Group, mock_context: MagicMock, tmp_path: Path) -> None:
"""Test the dump-data command."""
result = cli_runner.invoke(
database_cli,
["--config", "tests.unit.fixtures.configs", "dump-data", "--table", "test_table", "--dir", str(tmp_path)],
)
assert result.exit_code == 0
def test_cli_group_creation() -> None:
"""Test that the CLI group is created correctly."""
cli_group = add_migration_commands()
assert cli_group.name == "alchemy"
assert "show-current-revision" in cli_group.commands
assert "upgrade" in cli_group.commands
assert "downgrade" in cli_group.commands
assert "init" in cli_group.commands
assert "make-migrations" in cli_group.commands
assert "drop-all" in cli_group.commands
assert "dump-data" in cli_group.commands
python-advanced-alchemy-0.34.0/tests/unit/test_exceptions.py 0000664 0000000 0000000 00000014203 14763441450 0024225 0 ustar 00root root 0000000 0000000 import contextlib
import pytest
from sqlalchemy.exc import (
IntegrityError as SQLAlchemyIntegrityError,
)
from sqlalchemy.exc import (
InvalidRequestError as SQLAlchemyInvalidRequestError,
)
from sqlalchemy.exc import (
MultipleResultsFound,
SQLAlchemyError,
StatementError,
)
from advanced_alchemy.exceptions import (
DuplicateKeyError,
IntegrityError,
InvalidRequestError,
MultipleResultsFoundError,
NotFoundError,
RepositoryError,
wrap_sqlalchemy_exception,
)
async def test_repo_get_or_create_deprecation() -> None:
with pytest.warns(DeprecationWarning):
from advanced_alchemy.exceptions import ConflictError
with contextlib.suppress(Exception):
raise ConflictError
def test_wrap_sqlalchemy_exception_multiple_results_found() -> None:
with pytest.raises(MultipleResultsFoundError), wrap_sqlalchemy_exception():
raise MultipleResultsFound()
@pytest.mark.parametrize("dialect_name", ["postgresql", "sqlite", "mysql"])
def test_wrap_sqlalchemy_exception_integrity_error_duplicate_key(dialect_name: str) -> None:
error_message = {
"postgresql": 'duplicate key value violates unique constraint "uq_%(table_name)s_%(column_0_name)s"',
"sqlite": "UNIQUE constraint failed: %(table_name)s.%(column_0_name)s",
"mysql": "1062 (23000): Duplicate entry '%(value)s' for key '%(table_name)s.%(column_0_name)s'",
}
with (
pytest.raises(DuplicateKeyError),
wrap_sqlalchemy_exception(
dialect_name=dialect_name,
error_messages={"duplicate_key": error_message[dialect_name]},
),
):
if dialect_name == "postgresql":
exception = SQLAlchemyIntegrityError(
"INSERT INTO table (id) VALUES (1)",
{"table_name": "table", "column_0_name": "id"},
Exception(
'duplicate key value violates unique constraint "uq_table_id"\nDETAIL: Key (id)=(1) already exists.',
),
)
elif dialect_name == "sqlite":
exception = SQLAlchemyIntegrityError(
"INSERT INTO table (id) VALUES (1)",
{"table_name": "table", "column_0_name": "id"},
Exception("UNIQUE constraint failed: table.id"),
)
else:
exception = SQLAlchemyIntegrityError(
"INSERT INTO table (id) VALUES (1)",
{"table_name": "table", "column_0_name": "id", "value": "1"},
Exception("1062 (23000): Duplicate entry '1' for key 'table.id'"),
)
raise exception
def test_wrap_sqlalchemy_exception_integrity_error_other() -> None:
with pytest.raises(IntegrityError), wrap_sqlalchemy_exception():
raise SQLAlchemyIntegrityError("original", {}, Exception("original"))
def test_wrap_sqlalchemy_exception_invalid_request_error() -> None:
with pytest.raises(InvalidRequestError), wrap_sqlalchemy_exception():
raise SQLAlchemyInvalidRequestError("original", {}, Exception("original"))
def test_wrap_sqlalchemy_exception_statement_error() -> None:
with pytest.raises(IntegrityError), wrap_sqlalchemy_exception():
raise StatementError("original", None, {}, Exception("original")) # pyright: ignore[reportArgumentType]
def test_wrap_sqlalchemy_exception_sqlalchemy_error() -> None:
with pytest.raises(RepositoryError), wrap_sqlalchemy_exception():
raise SQLAlchemyError("original")
def test_wrap_sqlalchemy_exception_attribute_error() -> None:
with pytest.raises(RepositoryError), wrap_sqlalchemy_exception():
raise AttributeError("original")
def test_wrap_sqlalchemy_exception_not_found_error() -> None:
with pytest.raises(NotFoundError, match="No rows matched the specified data"), wrap_sqlalchemy_exception():
raise NotFoundError("No item found when one was expected")
def test_wrap_sqlalchemy_exception_no_wrap() -> None:
with pytest.raises(SQLAlchemyError), wrap_sqlalchemy_exception(wrap_exceptions=False):
raise SQLAlchemyError("original")
with pytest.raises(SQLAlchemyIntegrityError), wrap_sqlalchemy_exception(wrap_exceptions=False):
raise SQLAlchemyIntegrityError(statement="select 1", params=None, orig=BaseException())
with pytest.raises(MultipleResultsFound), wrap_sqlalchemy_exception(wrap_exceptions=False):
raise MultipleResultsFound()
with pytest.raises(SQLAlchemyInvalidRequestError), wrap_sqlalchemy_exception(wrap_exceptions=False):
raise SQLAlchemyInvalidRequestError()
with pytest.raises(AttributeError), wrap_sqlalchemy_exception(wrap_exceptions=False):
raise AttributeError()
with (
pytest.raises(NotFoundError, match="No item found when one was expected"),
wrap_sqlalchemy_exception(wrap_exceptions=False),
):
raise NotFoundError("No item found when one was expected")
def test_custom_not_found_error_message() -> None:
with (
pytest.raises(NotFoundError, match="Custom Error"),
wrap_sqlalchemy_exception(error_messages={"not_found": "Custom Error"}),
):
raise NotFoundError("original")
def test_wrap_sqlalchemy_exception_custom_error_message() -> None:
def custom_message(exc: Exception) -> str:
return f"Custom: {exc}"
with (
pytest.raises(RepositoryError) as excinfo,
wrap_sqlalchemy_exception(
error_messages={"other": custom_message},
),
):
raise SQLAlchemyError("original")
assert str(excinfo.value) == "Custom: original"
def test_wrap_sqlalchemy_exception_no_error_messages() -> None:
with pytest.raises(RepositoryError) as excinfo, wrap_sqlalchemy_exception():
raise SQLAlchemyError("original")
assert str(excinfo.value) == "An exception occurred: original"
def test_wrap_sqlalchemy_exception_no_match() -> None:
with (
pytest.raises(IntegrityError) as excinfo,
wrap_sqlalchemy_exception(
dialect_name="postgresql",
error_messages={"integrity": "Integrity error"},
),
):
raise SQLAlchemyIntegrityError("original", {}, Exception("original"))
assert str(excinfo.value) == "Integrity error"
python-advanced-alchemy-0.34.0/tests/unit/test_extensions/ 0000775 0000000 0000000 00000000000 14763441450 0023671 5 ustar 00root root 0000000 0000000 python-advanced-alchemy-0.34.0/tests/unit/test_extensions/__init__.py 0000664 0000000 0000000 00000000000 14763441450 0025770 0 ustar 00root root 0000000 0000000 python-advanced-alchemy-0.34.0/tests/unit/test_extensions/test_fastapi.py 0000664 0000000 0000000 00000041077 14763441450 0026742 0 ustar 00root root 0000000 0000000 import sys
from collections.abc import AsyncGenerator, Generator
from contextlib import asynccontextmanager
from typing import TYPE_CHECKING, Annotated, Callable, Literal, Union, cast
from unittest.mock import MagicMock
import pytest
from fastapi import Depends, FastAPI, HTTPException, Request, Response
from fastapi.testclient import TestClient
from pytest import FixtureRequest
from pytest_mock import MockerFixture
from sqlalchemy import Engine
from sqlalchemy.ext.asyncio import AsyncEngine, AsyncSession
from sqlalchemy.orm import Session
from typing_extensions import assert_type
from advanced_alchemy.exceptions import ImproperConfigurationError
from advanced_alchemy.extensions.fastapi import AdvancedAlchemy, SQLAlchemyAsyncConfig, SQLAlchemySyncConfig
AnyConfig = Union[SQLAlchemyAsyncConfig, SQLAlchemySyncConfig]
pytestmark = pytest.mark.xfail(
condition=sys.version_info < (3, 9),
reason="Certain versions of Starlette and FastAPI are stated to still support 3.8, but there are documented incompatibilities on various versions that have not been yanked. Marking 3.8 as an acceptable failure for now.",
)
@pytest.fixture()
def app() -> FastAPI:
return FastAPI()
@pytest.fixture()
def client(app: FastAPI) -> Generator[TestClient, None, None]:
with TestClient(app=app, raise_server_exceptions=False) as client:
yield client
@pytest.fixture()
def sync_config() -> SQLAlchemySyncConfig:
return SQLAlchemySyncConfig(connection_string="sqlite:///:memory:")
@pytest.fixture()
def async_config() -> SQLAlchemyAsyncConfig:
return SQLAlchemyAsyncConfig(connection_string="sqlite+aiosqlite:///:memory:")
@pytest.fixture(params=["sync_config", "async_config"])
def config(request: FixtureRequest) -> AnyConfig:
return cast(AnyConfig, request.getfixturevalue(request.param))
@pytest.fixture()
def alchemy(config: AnyConfig, app: FastAPI) -> AdvancedAlchemy:
return AdvancedAlchemy(config, app=app)
async def test_infer_types_from_config(async_config: SQLAlchemyAsyncConfig, sync_config: SQLAlchemySyncConfig) -> None:
if TYPE_CHECKING:
alchemy = AdvancedAlchemy(config=[async_config, sync_config])
assert alchemy.get_sync_config() is sync_config
assert alchemy.get_async_config() is async_config
assert_type(alchemy.get_sync_engine(), Engine)
assert_type(alchemy.get_async_engine(), AsyncEngine)
assert_type(alchemy.get_sync_config().create_session_maker(), Callable[[], Session])
assert_type(alchemy.get_async_config().create_session_maker(), Callable[[], AsyncSession])
with alchemy.with_sync_session() as db_session:
assert_type(db_session, Session)
async with alchemy.with_async_session() as async_session:
assert_type(async_session, AsyncSession)
def test_init_app_not_called_raises(config: SQLAlchemySyncConfig) -> None:
alchemy = AdvancedAlchemy(config)
with pytest.raises(ImproperConfigurationError):
alchemy.app
def test_inject_sync_engine() -> None:
app = FastAPI()
mock = MagicMock()
config = SQLAlchemySyncConfig(connection_string="sqlite:///:memory:")
alchemy = AdvancedAlchemy(config=config, app=app)
@app.get("/")
def handler(engine: Annotated[Engine, Depends(alchemy.provide_engine())]) -> Response:
mock(engine)
return Response(status_code=200)
with TestClient(app=app) as client:
resp = client.get("/")
assert resp.status_code == 200
call_args = mock.call_args[0]
assert call_args[0] is config.get_engine()
def test_inject_async_engine() -> None:
app = FastAPI()
mock = MagicMock()
config = SQLAlchemyAsyncConfig(connection_string="sqlite+aiosqlite:///:memory:")
alchemy = AdvancedAlchemy(config=config, app=app)
@app.get("/")
def handler(engine: Annotated[AsyncEngine, Depends(alchemy.provide_engine())]) -> Response:
mock(engine)
return Response(status_code=200)
with TestClient(app=app) as client:
resp = client.get("/")
assert resp.status_code == 200
call_args = mock.call_args[0]
assert call_args[0] is config.get_engine()
def test_inject_sync_session() -> None:
app = FastAPI()
mock = MagicMock()
config = SQLAlchemySyncConfig(connection_string="sqlite:///:memory:")
alchemy = AdvancedAlchemy(config=config, app=app)
SessionDependency = Annotated[Session, Depends(alchemy.get_sync_session)]
def some_dependency(session: SessionDependency) -> None: # pyright: ignore[reportInvalidTypeForm,reportMissingTypeArgument,reportUnknownParameterType]
mock(session)
@app.get("/")
def handler(session: SessionDependency, something: Annotated[None, Depends(some_dependency)]) -> None: # pyright: ignore[reportInvalidTypeForm,reportMissingTypeArgument,reportUnknownParameterType,reportUnknownArgumentType]
mock(session)
with TestClient(app=app) as client:
client.get("/")
assert mock.call_count == 2
call_1_args = mock.call_args_list[0].args
call_2_args = mock.call_args_list[1].args
assert call_1_args[0] is call_2_args[0]
call_1_session = call_1_args[0]
call_2_session = call_2_args[0]
assert isinstance(call_1_session, Session)
assert call_1_session is call_2_session
def test_inject_async_session() -> None:
app = FastAPI()
mock = MagicMock()
config = SQLAlchemyAsyncConfig(connection_string="sqlite+aiosqlite:///:memory:")
alchemy = AdvancedAlchemy(config=config, app=app)
SessionDependency = Annotated[AsyncSession, Depends(alchemy.get_async_session)]
def some_dependency(session: SessionDependency) -> None: # pyright: ignore[reportInvalidTypeForm,reportMissingTypeArgument,reportUnknownParameterType]
mock(session)
@app.get("/")
def handler(session: SessionDependency, something: Annotated[None, Depends(some_dependency)]) -> None: # pyright: ignore[reportInvalidTypeForm,reportMissingTypeArgument,reportUnknownParameterType,reportUnknownArgumentType]
mock(session)
with TestClient(app=app) as client:
client.get("/")
assert mock.call_count == 2
call_1_args = mock.call_args_list[0].args
call_2_args = mock.call_args_list[1].args
assert call_1_args[0] is call_2_args[0]
call_1_session = call_1_args[0]
call_2_session = call_2_args[0]
assert isinstance(call_1_session, AsyncSession)
assert call_1_session is call_2_session
@pytest.mark.parametrize(
"status_code", [200, 201, 202, 204, 206, 300, 301, 305, 307, 308, 400, 401, 404, 450, 500, 900]
)
@pytest.mark.parametrize("autocommit_strategy", ["manual", "autocommit", "autocommit_include_redirect"])
def test_sync_commit_strategies(
mocker: MockerFixture,
status_code: int,
autocommit_strategy: Literal["manual", "autocommit", "autocommit_include_redirect"],
) -> None:
app = FastAPI()
config = SQLAlchemySyncConfig(connection_string="sqlite:///:memory:", commit_mode=autocommit_strategy)
alchemy = AdvancedAlchemy(config=config, app=app)
mock_commit = mocker.patch("sqlalchemy.orm.Session.commit")
mock_close = mocker.patch("sqlalchemy.orm.Session.close")
mock_rollback = mocker.patch("sqlalchemy.orm.Session.rollback")
SessionDependency = Annotated[Session, Depends(alchemy.provide_session())]
@app.get("/")
def handler(session: SessionDependency) -> Response: # pyright: ignore[reportInvalidTypeForm,reportMissingTypeArgument,reportUnknownParameterType]
return Response(status_code=status_code)
with TestClient(app=app) as client:
response = client.get("/")
assert response.status_code == status_code
if autocommit_strategy == "manual":
mock_commit.call_count = 0
mock_close.call_count = 1
mock_rollback.call_count = 0
elif autocommit_strategy == "autocommit" and status_code < 300:
mock_commit.call_count = 1
mock_close.call_count = 1
mock_rollback.call_count = 0
elif autocommit_strategy == "autocommit" and status_code >= 300:
mock_commit.call_count = 0
mock_close.call_count = 1
mock_rollback.call_count = 1
elif autocommit_strategy == "autocommit_include_redirect" and status_code < 400:
mock_commit.call_count = 1
mock_close.call_count = 1
mock_rollback.call_count = 0
elif autocommit_strategy == "autocommit_include_redirect" and status_code >= 400:
mock_commit.call_count = 0
mock_close.call_count = 1
mock_rollback.call_count = 1
@pytest.mark.parametrize(
"status_code", [200, 201, 202, 204, 206, 300, 301, 305, 307, 308, 400, 401, 404, 450, 500, 900]
)
@pytest.mark.parametrize("autocommit_strategy", ["manual", "autocommit", "autocommit_include_redirect"])
def test_async_commit_strategies(
mocker: MockerFixture,
status_code: int,
autocommit_strategy: Literal["manual", "autocommit", "autocommit_include_redirect"],
) -> None:
app = FastAPI()
config = SQLAlchemyAsyncConfig(connection_string="sqlite+aiosqlite:///:memory:", commit_mode=autocommit_strategy)
alchemy = AdvancedAlchemy(config=config, app=app)
mock_commit = mocker.patch("sqlalchemy.ext.asyncio.AsyncSession.commit")
mock_close = mocker.patch("sqlalchemy.ext.asyncio.AsyncSession.close")
mock_rollback = mocker.patch("sqlalchemy.ext.asyncio.AsyncSession.rollback")
@app.get("/")
def handler(session: Annotated[AsyncSession, Depends(alchemy.provide_session())]) -> Response:
return Response(status_code=status_code)
with TestClient(app=app) as client:
response = client.get("/")
assert response.status_code == status_code
if autocommit_strategy == "manual":
mock_commit.call_count = 0
mock_close.call_count = 1
mock_rollback.call_count = 0
elif autocommit_strategy == "autocommit" and status_code < 300:
mock_commit.call_count = 1
mock_close.call_count = 1
mock_rollback.call_count = 0
elif autocommit_strategy == "autocommit" and status_code >= 300:
mock_commit.call_count = 0
mock_close.call_count = 1
mock_rollback.call_count = 1
elif autocommit_strategy == "autocommit_include_redirect" and status_code < 400:
mock_commit.call_count = 1
mock_close.call_count = 1
mock_rollback.call_count = 0
elif autocommit_strategy == "autocommit_include_redirect" and status_code >= 400:
mock_commit.call_count = 0
mock_close.call_count = 1
mock_rollback.call_count = 1
@pytest.mark.parametrize("autocommit_strategy", ["manual", "autocommit", "autocommit_include_redirect"])
def test_sync_session_close_on_exception(
mocker: MockerFixture,
autocommit_strategy: Literal["manual", "autocommit", "autocommit_include_redirect"],
) -> None:
app = FastAPI()
config = SQLAlchemySyncConfig(
connection_string="sqlite+pysqlite://",
commit_mode=autocommit_strategy,
)
alchemy = AdvancedAlchemy(config=config, app=app)
mock_commit = mocker.patch("sqlalchemy.orm.Session.commit")
mock_close = mocker.patch("sqlalchemy.orm.Session.close")
mock_rollback = mocker.patch("sqlalchemy.orm.Session.rollback")
def provide_session(request: Request) -> Session:
return alchemy.get_sync_session(request)
@app.get("/")
def handler(sync_db_session: Annotated[Session, Depends(provide_session)]) -> str:
raise HTTPException(status_code=500, detail="Intentional error for testing")
with TestClient(app=app, raise_server_exceptions=False) as client:
_ = client.get("/")
assert _.status_code == 500
assert _.json().get("detail") == "Intentional error for testing"
mock_commit.call_count = 0
mock_close.call_count = 1
mock_rollback.call_count = 0
@pytest.mark.parametrize("autocommit_strategy", ["manual", "autocommit", "autocommit_include_redirect"])
def test_async_session_close_on_exception(
mocker: MockerFixture,
autocommit_strategy: Literal["manual", "autocommit", "autocommit_include_redirect"],
) -> None:
app = FastAPI()
config = SQLAlchemyAsyncConfig(
connection_string="sqlite+aiosqlite://",
commit_mode=autocommit_strategy,
)
alchemy = AdvancedAlchemy(config=config, app=app)
mock_commit = mocker.patch("sqlalchemy.ext.asyncio.AsyncSession.commit")
mock_close = mocker.patch("sqlalchemy.ext.asyncio.AsyncSession.close")
mock_rollback = mocker.patch("sqlalchemy.ext.asyncio.AsyncSession.rollback")
def provide_session(request: Request) -> AsyncSession:
return alchemy.get_async_session(request)
@app.get("/")
def handler(async_db_session: Annotated[AsyncSession, Depends(provide_session)]) -> str:
raise HTTPException(status_code=500, detail="Intentional error for testing")
with TestClient(app=app, raise_server_exceptions=False) as client:
_ = client.get("/")
assert _.status_code == 500
assert _.json().get("detail") == "Intentional error for testing"
mock_commit.call_count = 0
mock_close.call_count = 1
mock_rollback.call_count = 0
def test_multiple_sync_instances(app: FastAPI) -> None:
mock = MagicMock()
config_1 = SQLAlchemySyncConfig(connection_string="sqlite:///:memory:")
config_2 = SQLAlchemySyncConfig(connection_string="sqlite:///temp.db", bind_key="config_2")
alchemy_1 = AdvancedAlchemy([config_1, config_2], app=app)
def provide_engine_1() -> Engine:
return alchemy_1.get_sync_engine()
def provide_engine_2() -> Engine:
return alchemy_1.get_sync_engine("config_2")
@app.get("/")
def handler(
session_1: Annotated[Session, Depends(lambda: alchemy_1.provide_session())],
session_2: Annotated[Session, Depends(lambda: alchemy_1.provide_session("config_2"))],
engine_1: Annotated[Engine, Depends(lambda: alchemy_1.provide_engine())],
engine_2: Annotated[Engine, Depends(lambda: alchemy_1.provide_engine("config_2"))],
) -> None:
assert session_1 is not session_2
assert engine_1 is not engine_2
mock(session=session_1, engine=engine_1)
mock(session=session_2, engine=engine_2)
with TestClient(app=app) as client:
client.get("/")
assert alchemy_1.get_sync_config().bind_key != alchemy_1.get_sync_config("config_2").bind_key
assert alchemy_1.get_sync_config().session_maker != alchemy_1.get_sync_config("config_2").session_maker
assert alchemy_1.get_sync_config().get_engine() is not alchemy_1.get_sync_config("config_2").get_engine()
assert (
alchemy_1.get_sync_config().create_session_maker()
is not alchemy_1.get_sync_config("config_2").create_session_maker()
)
assert mock.call_args_list[0].kwargs["session"] is not mock.call_args_list[1].kwargs["session"]
assert mock.call_args_list[0].kwargs["engine"] is not mock.call_args_list[1].kwargs["engine"]
async def test_lifespan_startup_shutdown_called_fastapi(mocker: MockerFixture, app: FastAPI, config: AnyConfig) -> None:
mock_startup = mocker.patch.object(AdvancedAlchemy, "on_startup")
mock_shutdown = mocker.patch.object(AdvancedAlchemy, "on_shutdown")
_alchemy = AdvancedAlchemy(config, app=app)
with TestClient(app=app) as _client: # TestClient context manager triggers lifespan events
pass # App starts up and shuts down within this context
mock_startup.assert_called_once()
mock_shutdown.assert_called_once()
async def test_lifespan_with_custom_lifespan_fastapi(mocker: MockerFixture, app: FastAPI, config: AnyConfig) -> None:
mock_aa_startup = mocker.patch.object(AdvancedAlchemy, "on_startup")
mock_aa_shutdown = mocker.patch.object(AdvancedAlchemy, "on_shutdown")
mock_custom_startup = mocker.MagicMock()
mock_custom_shutdown = mocker.MagicMock()
@asynccontextmanager
async def custom_lifespan(app_in: FastAPI) -> AsyncGenerator[None, None]:
mock_custom_startup()
yield
mock_custom_shutdown()
app.router.lifespan_context = custom_lifespan # type: ignore[assignment] # Set a custom lifespan on the app
_alchemy = AdvancedAlchemy(config, app=app)
with TestClient(app=app) as _client: # TestClient context manager triggers lifespan events
pass # App starts up and shuts down within this context
mock_aa_startup.assert_called_once()
mock_aa_shutdown.assert_called_once()
mock_custom_startup.assert_called_once()
mock_custom_shutdown.assert_called_once()
# Optionally assert the order of calls if needed, e.g., using mocker.call_order
python-advanced-alchemy-0.34.0/tests/unit/test_extensions/test_flask.py 0000664 0000000 0000000 00000057724 14763441450 0026421 0 ustar 00root root 0000000 0000000 # ruff: noqa: RUF029
"""Tests for the Flask extension."""
from __future__ import annotations
from collections.abc import Generator, Sequence
from pathlib import Path
import pytest
from flask import Flask, Response
from msgspec import Struct
from pydantic import BaseModel
from sqlalchemy import String, select, text
from sqlalchemy.ext.asyncio import AsyncSession
from sqlalchemy.orm import DeclarativeBase, Mapped, Session, mapped_column
from advanced_alchemy import base, mixins
from advanced_alchemy.exceptions import ImproperConfigurationError
from advanced_alchemy.extensions.flask import (
AdvancedAlchemy,
FlaskServiceMixin,
SQLAlchemyAsyncConfig,
SQLAlchemySyncConfig,
)
from advanced_alchemy.repository import SQLAlchemyAsyncRepository, SQLAlchemySyncRepository
from advanced_alchemy.service import SQLAlchemyAsyncRepositoryService, SQLAlchemySyncRepositoryService
metadata = base.metadata_registry.get("flask_testing")
class NewBigIntBase(mixins.BigIntPrimaryKey, base.CommonTableAttributes, DeclarativeBase):
"""Base model with a big integer primary key."""
__metadata__ = metadata
class User(NewBigIntBase):
"""Test user model."""
__tablename__ = "users_testing"
name: Mapped[str] = mapped_column(String(50))
class UserSchema(Struct):
"""Test user pydantic model."""
name: str
class UserPydantic(BaseModel):
"""Test user pydantic model."""
name: str
class UserService(SQLAlchemySyncRepositoryService[User], FlaskServiceMixin):
"""Test user service."""
class Repo(SQLAlchemySyncRepository[User]):
model_type = User
repository_type = Repo
class AsyncUserService(SQLAlchemyAsyncRepositoryService[User], FlaskServiceMixin):
"""Test user service."""
class Repo(SQLAlchemyAsyncRepository[User]):
model_type = User
repository_type = Repo
@pytest.fixture(scope="session")
def tmp_path_session(tmp_path_factory: pytest.TempPathFactory) -> Path:
return tmp_path_factory.mktemp("test_extensions_flask")
@pytest.fixture(scope="session")
def setup_database(tmp_path_session: Path) -> Generator[Path, None, None]:
# Create a new database for each test
db_path = tmp_path_session / "test.db"
config = SQLAlchemySyncConfig(connection_string=f"sqlite:///{db_path}", metadata=metadata)
engine = config.get_engine()
User._sa_registry.metadata.create_all(engine) # pyright: ignore[reportPrivateUsage]
with config.get_session() as session:
assert isinstance(session, Session)
table_exists = session.execute(text("SELECT COUNT(*) FROM users_testing")).scalar_one()
assert table_exists >= 0
yield db_path
def test_sync_extension_init(setup_database: Path) -> None:
app = Flask(__name__)
with app.app_context():
config = SQLAlchemySyncConfig(connection_string=f"sqlite:///{setup_database}", metadata=metadata)
extension = AdvancedAlchemy(config, app)
assert "advanced_alchemy" in app.extensions
session = extension.get_session()
assert isinstance(session, Session)
def test_sync_extension_init_with_app(setup_database: Path) -> None:
app = Flask(__name__)
with app.app_context():
config = SQLAlchemySyncConfig(connection_string=f"sqlite:///{setup_database}", metadata=metadata)
extension = AdvancedAlchemy(config, app)
assert "advanced_alchemy" in app.extensions
session = extension.get_session()
assert isinstance(session, Session)
def test_sync_extension_multiple_init(setup_database: Path) -> None:
app = Flask(__name__)
with (
app.app_context(),
pytest.raises(ImproperConfigurationError, match="Advanced Alchemy extension is already registered"),
):
config = SQLAlchemySyncConfig(connection_string=f"sqlite:///{setup_database}", metadata=metadata)
extension = AdvancedAlchemy(config, app)
extension.init_app(app)
def test_async_extension_init(setup_database: Path) -> None:
app = Flask(__name__)
with app.app_context():
config = SQLAlchemyAsyncConfig(
bind_key="async", connection_string=f"sqlite+aiosqlite:///{setup_database}", metadata=metadata
)
extension = AdvancedAlchemy(config, app)
assert "advanced_alchemy" in app.extensions
session = extension.get_session("async")
assert isinstance(session, AsyncSession)
extension.portal_provider.stop()
def test_async_extension_init_single_config_no_bind_key(setup_database: Path) -> None:
app = Flask(__name__)
with app.app_context():
config = SQLAlchemyAsyncConfig(connection_string=f"sqlite+aiosqlite:///{setup_database}", metadata=metadata)
extension = AdvancedAlchemy(config, app)
assert "advanced_alchemy" in app.extensions
session = extension.get_session()
assert isinstance(session, AsyncSession)
extension.portal_provider.stop()
def test_async_extension_init_with_app(setup_database: Path) -> None:
app = Flask(__name__)
with app.app_context():
config = SQLAlchemyAsyncConfig(
bind_key="async", connection_string=f"sqlite+aiosqlite:///{setup_database}", metadata=metadata
)
extension = AdvancedAlchemy(config, app)
assert "advanced_alchemy" in app.extensions
session = extension.get_session("async")
assert isinstance(session, AsyncSession)
extension.portal_provider.stop()
def test_async_extension_multiple_init(setup_database: Path) -> None:
app = Flask(__name__)
with (
app.app_context(),
pytest.raises(ImproperConfigurationError, match="Advanced Alchemy extension is already registered"),
):
config = SQLAlchemyAsyncConfig(
connection_string=f"sqlite+aiosqlite:///{setup_database}", bind_key="async", metadata=metadata
)
extension = AdvancedAlchemy(config, app)
extension.init_app(app)
def test_sync_and_async_extension_init(setup_database: Path) -> None:
app = Flask(__name__)
with app.app_context():
extension = AdvancedAlchemy(
[
SQLAlchemySyncConfig(connection_string=f"sqlite:///{setup_database}"),
SQLAlchemyAsyncConfig(
connection_string=f"sqlite+aiosqlite:///{setup_database}", bind_key="async", metadata=metadata
),
],
app,
)
assert "advanced_alchemy" in app.extensions
session = extension.get_session()
assert isinstance(session, Session)
def test_multiple_binds(setup_database: Path) -> None:
app = Flask(__name__)
with app.app_context():
extension = AdvancedAlchemy(
[
SQLAlchemySyncConfig(
connection_string=f"sqlite:///{setup_database}", bind_key="db1", metadata=metadata
),
SQLAlchemySyncConfig(
connection_string=f"sqlite:///{setup_database}", bind_key="db2", metadata=metadata
),
],
app,
)
session = extension.get_session("db1")
assert isinstance(session, Session)
session = extension.get_session("db2")
assert isinstance(session, Session)
def test_multiple_binds_async(setup_database: Path) -> None:
app = Flask(__name__)
with app.app_context():
configs: Sequence[SQLAlchemyAsyncConfig] = [
SQLAlchemyAsyncConfig(
connection_string=f"sqlite+aiosqlite:///{setup_database}", bind_key="db1", metadata=metadata
),
SQLAlchemyAsyncConfig(
connection_string=f"sqlite+aiosqlite:///{setup_database}", bind_key="db2", metadata=metadata
),
]
extension = AdvancedAlchemy(configs, app)
session = extension.get_session("db1")
assert isinstance(session, AsyncSession)
session = extension.get_session("db2")
assert isinstance(session, AsyncSession)
extension.portal_provider.stop()
def test_mixed_binds(setup_database: Path) -> None:
app = Flask(__name__)
with app.app_context():
configs: Sequence[SQLAlchemyAsyncConfig | SQLAlchemySyncConfig] = [
SQLAlchemySyncConfig(connection_string=f"sqlite:///{setup_database}", bind_key="sync", metadata=metadata),
SQLAlchemyAsyncConfig(
connection_string=f"sqlite+aiosqlite:///{setup_database}", bind_key="async", metadata=metadata
),
]
extension = AdvancedAlchemy(configs, app)
session = extension.get_session("sync")
assert isinstance(session, Session)
session.close()
session = extension.get_session("async")
assert isinstance(session, AsyncSession)
extension.portal_provider.portal.call(session.close)
extension.portal_provider.stop()
def test_sync_autocommit(setup_database: Path) -> None:
app = Flask(__name__)
with app.test_client() as client:
config = SQLAlchemySyncConfig(
connection_string=f"sqlite:///{setup_database}", commit_mode="autocommit", metadata=metadata
)
extension = AdvancedAlchemy(config, app)
@app.route("/test", methods=["POST"])
def test_route() -> tuple[dict[str, str], int]:
session = extension.get_session()
assert isinstance(session, Session)
user = User(name="test")
session.add(user)
return {"status": "success"}, 200
# Test successful response (should commit)
response = client.post("/test")
assert response.status_code == 200
# Verify the data was committed
session = extension.get_session()
assert isinstance(session, Session)
result = session.execute(select(User).where(User.name == "test"))
assert result.scalar_one().name == "test"
def test_sync_autocommit_include_redirect(setup_database: Path) -> None:
app = Flask(__name__)
with app.test_client() as client:
config = SQLAlchemySyncConfig(
connection_string=f"sqlite:///{setup_database}",
commit_mode="autocommit_include_redirect",
metadata=metadata,
)
extension = AdvancedAlchemy(config, app)
@app.route("/test", methods=["POST"])
def test_route() -> tuple[str, int, dict[str, str]]:
session = extension.get_session()
assert isinstance(session, Session)
session.add(User(name="test_redirect"))
return "", 302, {"Location": "/redirected"}
# Test redirect response (should commit with autocommit_include_redirect)
response = client.post("/test")
assert response.status_code == 302
# Verify the data was committed
session = extension.get_session()
assert isinstance(session, Session)
result = session.execute(select(User).where(User.name == "test_redirect"))
assert result.scalar_one().name == "test_redirect"
def test_sync_no_autocommit_on_error(setup_database: Path) -> None:
app = Flask(__name__)
with app.test_client() as client:
config = SQLAlchemySyncConfig(
connection_string=f"sqlite:///{setup_database}", commit_mode="autocommit", metadata=metadata
)
extension = AdvancedAlchemy(config, app)
@app.route("/test", methods=["POST"])
def test_route() -> tuple[dict[str, str], int]:
session = extension.get_session()
assert isinstance(session, Session)
user = User(name="test_error")
session.add(user)
return {"error": "test error"}, 500
# Test error response (should not commit)
response = client.post("/test")
assert response.status_code == 500
# Verify the data was not committed
session = extension.get_session()
assert isinstance(session, Session)
result = session.execute(select(User).where(User.name == "test_error"))
assert result.first() is None
def test_async_autocommit(setup_database: Path) -> None:
app = Flask(__name__)
with app.test_client() as client:
config = SQLAlchemyAsyncConfig(
connection_string=f"sqlite+aiosqlite:///{setup_database}", commit_mode="autocommit", metadata=metadata
)
extension = AdvancedAlchemy(config, app)
@app.route("/test", methods=["POST"])
def test_route() -> tuple[dict[str, str], int]:
session = extension.get_session()
assert isinstance(session, AsyncSession)
session.add(User(name="test_async"))
return {"status": "success"}, 200
# Test successful response (should commit)
response = client.post("/test")
assert response.status_code == 200
# Verify the data was committed
session = extension.get_session()
assert isinstance(session, AsyncSession)
result = extension.portal_provider.portal.call(session.execute, select(User).where(User.name == "test_async"))
assert result.scalar_one().name == "test_async"
extension.portal_provider.stop()
def test_async_autocommit_include_redirect(setup_database: Path) -> None:
app = Flask(__name__)
with app.test_client() as client:
config = SQLAlchemyAsyncConfig(
connection_string=f"sqlite+aiosqlite:///{setup_database}",
commit_mode="autocommit_include_redirect",
metadata=metadata,
)
extension = AdvancedAlchemy(config, app)
@app.route("/test", methods=["POST"])
def test_route() -> tuple[str, int, dict[str, str]]:
session = extension.get_session()
assert isinstance(session, AsyncSession)
user = User(name="test_async_redirect") # type: ignore
session.add(user)
return "", 302, {"Location": "/redirected"}
# Test redirect response (should commit with autocommit_include_redirect)
response = client.post("/test")
assert response.status_code == 302
session = extension.get_session()
assert isinstance(session, AsyncSession)
result = extension.portal_provider.portal.call(
session.execute, select(User).where(User.name == "test_async_redirect")
)
assert result.scalar_one().name == "test_async_redirect"
extension.portal_provider.stop()
def test_async_no_autocommit_on_error(setup_database: Path) -> None:
app = Flask(__name__)
with app.test_client() as client:
config = SQLAlchemyAsyncConfig(
connection_string=f"sqlite+aiosqlite:///{setup_database}", commit_mode="autocommit", metadata=metadata
)
extension = AdvancedAlchemy(config, app)
@app.route("/test", methods=["POST"])
def test_route() -> tuple[dict[str, str], int]:
session = extension.get_session()
assert isinstance(session, AsyncSession)
user = User(name="test_async_error") # type: ignore
session.add(user)
return {"error": "test async error"}, 500
# Test error response (should not commit)
response = client.post("/test")
assert response.status_code == 500
session = extension.get_session()
assert isinstance(session, AsyncSession)
async def get_user() -> User | None:
result = await session.execute(select(User).where(User.name == "test_async_error"))
return result.scalar_one_or_none()
# Verify the data was not committed
user = extension.portal_provider.portal.call(get_user)
assert user is None
extension.portal_provider.stop()
def test_async_portal_cleanup(setup_database: Path) -> None:
app = Flask(__name__)
with app.test_client() as client:
config = SQLAlchemyAsyncConfig(
connection_string=f"sqlite+aiosqlite:///{setup_database}", commit_mode="manual", metadata=metadata
)
extension = AdvancedAlchemy(config, app)
@app.route("/test", methods=["POST"])
def test_route() -> tuple[dict[str, str], int]:
session = extension.get_session()
assert isinstance(session, AsyncSession)
user = User(name="test_async_cleanup") # type: ignore
session.add(user)
return {"status": "success"}, 200
# Test successful response (should not commit since we're using MANUAL mode)
response = client.post("/test")
assert response.status_code == 200
session = extension.get_session()
assert isinstance(session, AsyncSession)
# Verify the data was not committed (MANUAL mode)
result = extension.portal_provider.portal.call(
session.execute, select(User).where(User.name == "test_async_cleanup")
)
assert result.first() is None
extension.portal_provider.stop()
def test_async_portal_explicit_stop(setup_database: Path) -> None:
app = Flask(__name__)
with app.test_client() as client:
config = SQLAlchemyAsyncConfig(
connection_string=f"sqlite+aiosqlite:///{setup_database}",
metadata=metadata,
commit_mode="manual",
)
extension = AdvancedAlchemy(config, app)
@app.route("/test", methods=["POST"])
def test_route() -> tuple[dict[str, str], int]:
session = extension.get_session()
assert isinstance(session, AsyncSession)
user = User(name="test_async_explicit_stop") # type: ignore
session.add(user)
return {"status": "success"}, 200
# Test successful response (should not commit since we're using MANUAL mode)
response = client.post("/test")
assert response.status_code == 200
with app.app_context():
session = extension.get_session()
assert isinstance(session, AsyncSession)
# Verify the data was not committed (MANUAL mode)
result = extension.portal_provider.portal.call(
session.scalar, select(User).where(User.name == "test_async_explicit_stop")
)
assert result is None
extension.portal_provider.stop()
def test_async_portal_explicit_stop_with_commit(setup_database: Path) -> None:
app = Flask(__name__)
@app.route("/test", methods=["POST"])
def test_route() -> tuple[dict[str, str], int]:
session = extension.get_session()
assert isinstance(session, AsyncSession)
async def create_user() -> None:
user = User(name="test_async_explicit_stop_with_commit") # type: ignore
session.add(user)
await session.commit() # type: ignore
extension.portal_provider.portal.call(create_user)
return {"status": "success"}, 200
with app.test_client() as client:
config = SQLAlchemyAsyncConfig(
connection_string=f"sqlite+aiosqlite:///{setup_database}",
metadata=metadata,
commit_mode="manual",
)
extension = AdvancedAlchemy(config, app)
# Test successful response
response = client.post("/test")
assert response.status_code == 200
# Verify in a new session
session = extension.get_session()
assert isinstance(session, AsyncSession)
async def get_user() -> User | None:
async with session:
result = await session.execute(select(User).where(User.name == "test_async_explicit_stop_with_commit"))
return result.scalar_one_or_none()
user = extension.portal_provider.portal.call(get_user)
assert isinstance(user, User)
assert user.name == "test_async_explicit_stop_with_commit"
extension.portal_provider.stop()
def test_sync_service_jsonify_msgspec(setup_database: Path) -> None:
app = Flask(__name__)
with app.test_client() as client:
config = SQLAlchemySyncConfig(
connection_string=f"sqlite:///{setup_database}", metadata=metadata, commit_mode="autocommit"
)
extension = AdvancedAlchemy(config, app)
@app.route("/test", methods=["POST"])
def test_route() -> Response:
service = UserService(extension.get_sync_session())
user = service.create({"name": "service_test"})
return service.jsonify(service.to_schema(user, schema_type=UserSchema))
# Test successful response (should commit)
response = client.post("/test")
assert response.status_code == 200
# Verify the data was committed
session = extension.get_session()
assert isinstance(session, Session)
result = session.execute(select(User).where(User.name == "service_test"))
assert result.scalar_one().name == "service_test"
def test_async_service_jsonify_msgspec(setup_database: Path) -> None:
app = Flask(__name__)
with app.test_client() as client:
config = SQLAlchemyAsyncConfig(
connection_string=f"sqlite+aiosqlite:///{setup_database}", metadata=metadata, commit_mode="autocommit"
)
extension = AdvancedAlchemy(config, app)
@app.route("/test", methods=["POST"])
def test_route() -> Response:
service = AsyncUserService(extension.get_async_session())
user = extension.portal_provider.portal.call(service.create, {"name": "async_service_test"})
return service.jsonify(service.to_schema(user, schema_type=UserSchema))
# Test successful response (should commit)
response = client.post("/test")
assert response.status_code == 200
# Verify the data was committed
session = extension.get_session()
assert isinstance(session, AsyncSession)
result = extension.portal_provider.portal.call(
session.scalar, select(User).where(User.name == "async_service_test")
)
assert result
assert result.name == "async_service_test"
extension.portal_provider.stop()
def test_sync_service_jsonify_pydantic(setup_database: Path) -> None:
app = Flask(__name__)
with app.test_client() as client:
config = SQLAlchemySyncConfig(
connection_string=f"sqlite:///{setup_database}", metadata=metadata, commit_mode="autocommit"
)
extension = AdvancedAlchemy(config, app)
@app.route("/test", methods=["POST"])
def test_route() -> Response:
service = UserService(extension.get_sync_session())
user = service.create({"name": "test_sync_service_jsonify_pydantic"})
return service.jsonify(service.to_schema(user, schema_type=UserPydantic))
# Test successful response (should commit)
response = client.post("/test")
assert response.status_code == 200
# Verify the data was committed
session = extension.get_session()
assert isinstance(session, Session)
result = session.execute(select(User).where(User.name == "test_sync_service_jsonify_pydantic"))
assert result.scalar_one().name == "test_sync_service_jsonify_pydantic"
def test_async_service_jsonify_pydantic(setup_database: Path) -> None:
app = Flask(__name__)
with app.test_client() as client:
config = SQLAlchemyAsyncConfig(
connection_string=f"sqlite+aiosqlite:///{setup_database}", metadata=metadata, commit_mode="autocommit"
)
extension = AdvancedAlchemy(config, app)
@app.route("/test", methods=["POST"])
def test_route() -> Response:
service = AsyncUserService(extension.get_async_session())
user = extension.portal_provider.portal.call(
service.create, {"name": "test_async_service_jsonify_pydantic"}
)
return service.jsonify(service.to_schema(user, schema_type=UserPydantic))
# Test successful response (should commit)
response = client.post("/test")
assert response.status_code == 200
# Verify the data was committed
session = extension.get_session()
assert isinstance(session, AsyncSession)
result = extension.portal_provider.portal.call(
session.scalar, select(User).where(User.name == "test_async_service_jsonify_pydantic")
)
assert result
assert result.name == "test_async_service_jsonify_pydantic"
extension.portal_provider.stop()
python-advanced-alchemy-0.34.0/tests/unit/test_extensions/test_litestar/ 0000775 0000000 0000000 00000000000 14763441450 0026557 5 ustar 00root root 0000000 0000000 python-advanced-alchemy-0.34.0/tests/unit/test_extensions/test_litestar/__init__.py 0000664 0000000 0000000 00000000000 14763441450 0030656 0 ustar 00root root 0000000 0000000 python-advanced-alchemy-0.34.0/tests/unit/test_extensions/test_litestar/conftest.py 0000664 0000000 0000000 00000025357 14763441450 0030772 0 ustar 00root root 0000000 0000000 from __future__ import annotations
import importlib.util
import os
import random
import string
import sys
from collections.abc import AsyncGenerator, Generator, Sequence
from dataclasses import replace
from pathlib import Path
from types import ModuleType
from typing import Any, Callable, cast
from unittest.mock import ANY
import pytest
from litestar.app import Litestar
from litestar.dto import AbstractDTO, DTOField, Mark
from litestar.dto._backend import DTOBackend
from litestar.dto.data_structures import DTOFieldDefinition
from litestar.testing import RequestFactory
from litestar.types import (
ASGIVersion,
RouteHandlerType,
Scope,
ScopeSession, # type: ignore
)
from litestar.types.empty import Empty
from litestar.typing import FieldDefinition
from pytest import FixtureRequest, MonkeyPatch
from sqlalchemy import Engine, NullPool, create_engine
from sqlalchemy.ext.asyncio import AsyncEngine, AsyncSession, async_sessionmaker, create_async_engine
from sqlalchemy.orm import Session, sessionmaker
from typing_extensions import TypeVar
from advanced_alchemy.alembic.commands import AlembicCommands
from advanced_alchemy.config.common import GenericSQLAlchemyConfig
from advanced_alchemy.extensions.litestar import SQLAlchemyAsyncConfig, SQLAlchemyPlugin, SQLAlchemySyncConfig
@pytest.fixture(autouse=True)
def reload_package() -> Generator[None, None, None]:
yield
GenericSQLAlchemyConfig._SESSION_SCOPE_KEY_REGISTRY = set() # type: ignore
GenericSQLAlchemyConfig._ENGINE_APP_STATE_KEY_REGISTRY = set() # type: ignore
GenericSQLAlchemyConfig._SESSIONMAKER_APP_STATE_KEY_REGISTRY = set() # type: ignore
@pytest.fixture(autouse=True)
def reset_cached_dto_backends() -> Generator[None, None, None]:
DTOBackend._seen_model_names = set() # pyright: ignore[reportPrivateUsage]
AbstractDTO._dto_backends = {} # pyright: ignore[reportPrivateUsage]
yield
DTOBackend._seen_model_names = set() # pyright: ignore[reportPrivateUsage]
AbstractDTO._dto_backends = {} # pyright: ignore[reportPrivateUsage]
@pytest.fixture(autouse=True)
async def disable_implicit_sync_warning() -> None:
os.environ["LITESTAR_WARN_IMPLICIT_SYNC_TO_THREAD"] = "0"
@pytest.fixture
def int_factory() -> Generator[Callable[[], int], None, None]:
yield lambda: 2
@pytest.fixture
def expected_field_defs(int_factory: Callable[[], int]) -> Generator[list[DTOFieldDefinition], None, None]:
yield [
DTOFieldDefinition.from_field_definition(
field_definition=FieldDefinition.from_kwarg(
annotation=int,
name="a",
),
model_name=ANY,
default_factory=Empty, # type: ignore[arg-type]
dto_field=DTOField(),
),
replace(
DTOFieldDefinition.from_field_definition(
field_definition=FieldDefinition.from_kwarg(
annotation=int,
name="b",
),
model_name=ANY,
default_factory=Empty, # type: ignore[arg-type]
dto_field=DTOField(mark=Mark.READ_ONLY),
),
metadata=ANY,
type_wrappers=ANY,
raw=ANY,
kwarg_definition=ANY,
),
replace(
DTOFieldDefinition.from_field_definition(
field_definition=FieldDefinition.from_kwarg(
annotation=int,
name="c",
),
model_name=ANY,
default_factory=Empty, # type: ignore[arg-type]
dto_field=DTOField(),
),
metadata=ANY,
type_wrappers=ANY,
raw=ANY,
kwarg_definition=ANY,
),
replace(
DTOFieldDefinition.from_field_definition(
field_definition=FieldDefinition.from_kwarg(
annotation=int,
name="d",
default=1,
),
model_name=ANY,
default_factory=Empty, # type: ignore[arg-type]
dto_field=DTOField(),
),
metadata=ANY,
type_wrappers=ANY,
raw=ANY,
kwarg_definition=ANY,
),
replace(
DTOFieldDefinition.from_field_definition(
field_definition=FieldDefinition.from_kwarg(
annotation=int,
name="e",
),
model_name=ANY,
default_factory=int_factory,
dto_field=DTOField(),
),
metadata=ANY,
type_wrappers=ANY,
raw=ANY,
kwarg_definition=ANY,
),
]
@pytest.fixture
def create_module(tmp_path: Path, monkeypatch: MonkeyPatch) -> Generator[Callable[[str], ModuleType], None, None]:
"""Utility fixture for dynamic module creation."""
def wrapped(source: str) -> ModuleType:
"""
Args:
source: Source code as a string.
Returns:
An imported module.
"""
T = TypeVar("T")
def not_none(val: T | None) -> T:
assert val is not None
return val
def module_name_generator() -> str:
letters = string.ascii_lowercase
return "".join(random.choice(letters) for _ in range(10))
module_name = module_name_generator()
path = tmp_path / f"{module_name}.py"
path.write_text(source)
# https://docs.python.org/3/library/importlib.html#importing-a-source-file-directly
spec = not_none(importlib.util.spec_from_file_location(module_name, path))
module = not_none(importlib.util.module_from_spec(spec))
monkeypatch.setitem(sys.modules, module_name, module)
not_none(spec.loader).exec_module(module)
return module
yield wrapped
@pytest.fixture
def create_scope() -> Generator[Callable[..., Scope], None, None]:
def inner(
*,
type: str = "http",
app: Litestar | None = None,
asgi: ASGIVersion | None = None,
auth: Any = None,
client: tuple[str, int] | None = ("testclient", 50000),
extensions: dict[str, dict[object, object]] | None = None,
http_version: str = "1.1",
path: str = "/",
path_params: dict[str, str] | None = None,
query_string: str = "",
root_path: str = "",
route_handler: RouteHandlerType | None = None,
scheme: str = "http",
server: tuple[str, int | None] | None = ("testserver", 80),
session: ScopeSession | None = None, # pyright: ignore[reportUnknownParameterType]
state: dict[str, Any] | None = None,
user: Any = None,
**kwargs: dict[str, Any],
) -> Scope:
scope: dict[str, Any] = {
"app": app,
"asgi": asgi or {"spec_version": "2.0", "version": "3.0"},
"auth": auth,
"type": type,
"path": path,
"raw_path": path.encode(),
"root_path": root_path,
"scheme": scheme,
"query_string": query_string.encode(),
"client": client,
"server": server,
"method": "GET",
"http_version": http_version,
"extensions": extensions or {"http.response.template": {}},
"state": state or {},
"path_params": path_params or {},
"route_handler": route_handler,
"user": user,
"session": session,
**kwargs,
}
return cast("Scope", scope)
yield inner # pyright: ignore[reportUnknownVariableType]
@pytest.fixture
def scope(create_scope: Callable[..., Scope]) -> Generator[Scope, None, None]:
yield create_scope()
@pytest.fixture()
def engine() -> Generator[Engine, None, None]:
"""SQLite engine for end-to-end testing.
Returns:
Async SQLAlchemy engine instance.
"""
engine = create_engine("sqlite:///:memory:", poolclass=NullPool)
try:
yield engine
finally:
engine.dispose()
@pytest.fixture()
async def sync_sqlalchemy_plugin(
engine: Engine,
session_maker: sessionmaker[Session] | None = None,
) -> AsyncGenerator[SQLAlchemyPlugin, None]:
yield SQLAlchemyPlugin(config=SQLAlchemySyncConfig(engine_instance=engine, session_maker=session_maker))
@pytest.fixture()
async def async_engine() -> AsyncGenerator[AsyncEngine, None]:
"""SQLite engine for end-to-end testing.
Returns:
Async SQLAlchemy engine instance.
"""
engine = create_async_engine("sqlite+aiosqlite:///:memory:", poolclass=NullPool)
try:
yield engine
finally:
await engine.dispose()
@pytest.fixture()
async def async_sqlalchemy_plugin(
async_engine: AsyncEngine,
async_session_maker: async_sessionmaker[AsyncSession] | None = None,
) -> AsyncGenerator[SQLAlchemyPlugin, None]:
yield SQLAlchemyPlugin(
config=SQLAlchemyAsyncConfig(engine_instance=async_engine, session_maker=async_session_maker),
)
@pytest.fixture(params=[pytest.param("sync_sqlalchemy_plugin"), pytest.param("async_sqlalchemy_plugin")])
async def plugin(request: FixtureRequest) -> AsyncGenerator[SQLAlchemyPlugin, None]:
yield cast(SQLAlchemyPlugin, request.getfixturevalue(request.param))
@pytest.fixture()
async def sync_app(sync_sqlalchemy_plugin: SQLAlchemyPlugin) -> AsyncGenerator[Litestar, None]:
yield Litestar(plugins=[sync_sqlalchemy_plugin])
@pytest.fixture()
async def async_app(async_sqlalchemy_plugin: SQLAlchemyPlugin) -> AsyncGenerator[Litestar, None]:
yield Litestar(plugins=[async_sqlalchemy_plugin])
@pytest.fixture()
async def sync_alembic_commands(sync_app: Litestar) -> AsyncGenerator[AlembicCommands, None]:
plugin = sync_app.plugins.get(SQLAlchemyPlugin)
config = plugin.config[0] if isinstance(plugin.config, Sequence) else plugin.config # type: ignore
yield AlembicCommands(sqlalchemy_config=config)
@pytest.fixture()
async def async_alembic_commands(async_app: Litestar) -> AsyncGenerator[AlembicCommands, None]:
plugin = async_app.plugins.get(SQLAlchemyPlugin)
config = plugin.config[0] if isinstance(plugin.config, Sequence) else plugin.config # type: ignore
yield AlembicCommands(sqlalchemy_config=config)
@pytest.fixture(params=[pytest.param("sync_alembic_commands"), pytest.param("async_alembic_commands")])
async def alembic_commands(request: FixtureRequest) -> AsyncGenerator[AlembicCommands, None]:
yield cast(AlembicCommands, request.getfixturevalue(request.param))
@pytest.fixture(params=[pytest.param("sync_app"), pytest.param("async_app")])
async def app(request: FixtureRequest) -> AsyncGenerator[Litestar, None]:
yield cast(Litestar, request.getfixturevalue(request.param))
@pytest.fixture()
def request_factory() -> Generator[RequestFactory, None, None]:
yield RequestFactory()
python-advanced-alchemy-0.34.0/tests/unit/test_extensions/test_litestar/test_context.py 0000664 0000000 0000000 00000001632 14763441450 0031656 0 ustar 00root root 0000000 0000000 from __future__ import annotations
from typing import cast
from sqlalchemy.ext.asyncio import AsyncSession
from sqlalchemy.orm import Session
from advanced_alchemy.extensions.litestar.plugins import SQLAlchemyPlugin
from advanced_alchemy.extensions.litestar.plugins.init.config.asyncio import SQLAlchemyAsyncConfig
from advanced_alchemy.extensions.litestar.plugins.init.config.sync import SQLAlchemySyncConfig
async def test_sync_db_session(sync_sqlalchemy_plugin: SQLAlchemyPlugin) -> None:
config = cast("SQLAlchemySyncConfig", sync_sqlalchemy_plugin.config[0])
with config.get_session() as session:
assert isinstance(session, Session)
async def test_async_db_session(async_sqlalchemy_plugin: SQLAlchemyPlugin) -> None:
config = cast("SQLAlchemyAsyncConfig", async_sqlalchemy_plugin.config[0])
async with config.get_session() as session:
assert isinstance(session, AsyncSession)
python-advanced-alchemy-0.34.0/tests/unit/test_extensions/test_litestar/test_dto.py 0000664 0000000 0000000 00000062167 14763441450 0030772 0 ustar 00root root 0000000 0000000 from __future__ import annotations
import datetime
import sys
from typing import TYPE_CHECKING, Annotated, ClassVar
from uuid import UUID, uuid4
import pytest
import sqlalchemy
from litestar import Request, get
from litestar.dto import DTOField, Mark
from litestar.dto.field import DTO_FIELD_META_KEY
from litestar.enums import MediaType
from litestar.plugins.pydantic import PydanticInitPlugin
from litestar.serialization import encode_json
from litestar.testing import RequestFactory
from litestar.typing import FieldDefinition
from sqlalchemy import ForeignKey, func
from sqlalchemy.orm import DeclarativeBase, Mapped, MappedAsDataclass, declared_attr, mapped_column, relationship
from typing_extensions import TypeVar
from advanced_alchemy.exceptions import ImproperConfigurationError
from advanced_alchemy.extensions.litestar.dto import (
SQLAlchemyDTO,
SQLAlchemyDTOConfig,
parse_type_from_element, # type: ignore
)
if TYPE_CHECKING:
from collections.abc import Callable
from types import ModuleType
from typing import Any
@pytest.fixture(name="base")
def fx_base() -> type[DeclarativeBase]:
class Base(DeclarativeBase):
id: Mapped[UUID] = mapped_column(default=uuid4, primary_key=True)
created: Mapped[datetime.datetime] = mapped_column(
default=datetime.datetime.now,
info={DTO_FIELD_META_KEY: DTOField(mark=Mark.READ_ONLY)},
)
updated: Mapped[datetime.datetime] = mapped_column(
default=datetime.datetime.now,
info={DTO_FIELD_META_KEY: DTOField(mark=Mark.READ_ONLY)},
)
# noinspection PyMethodParameters
@declared_attr.directive
def __tablename__(cls) -> str:
"""Infer table name from class name."""
return cls.__name__.lower()
return Base
@pytest.fixture(name="author_model")
def fx_author_model(base: DeclarativeBase) -> type[DeclarativeBase]:
class Author(base): # type: ignore
name: Mapped[str]
dob: Mapped[datetime.date]
return Author
@pytest.fixture(name="raw_author")
def fx_raw_author() -> bytes:
return b'{"id":"97108ac1-ffcb-411d-8b1e-d9183399f63b","name":"Agatha Christie","dob":"1890-09-15","created":"0001-01-01T00:00:00","updated":"0001-01-01T00:00:00"}'
@pytest.fixture(name="asgi_connection")
def fx_asgi_connection() -> Request[Any, Any, Any]:
@get("/", name="handler_id", media_type=MediaType.JSON, type_decoders=PydanticInitPlugin.decoders())
def _handler() -> None: ...
return RequestFactory().get(path="/", route_handler=_handler)
T = TypeVar("T")
DataT = TypeVar("DataT", bound=DeclarativeBase)
async def get_model_from_dto(
dto_type: type[SQLAlchemyDTO[DataT]],
annotation: Any,
asgi_connection: Request[Any, Any, Any],
raw: bytes,
) -> Any:
dto_type.create_for_field_definition(
handler_id=asgi_connection.route_handler.handler_id,
field_definition=FieldDefinition.from_kwarg(annotation, name="data"),
)
dto_type.create_for_field_definition(
handler_id=asgi_connection.route_handler.handler_id,
field_definition=FieldDefinition.from_kwarg(annotation, name="return"),
)
return dto_type(asgi_connection).decode_bytes(raw)
def assert_model_values(model_instance: DeclarativeBase, expected_values: dict[str, Any]) -> None:
assert {k: v for k, v in model_instance.__dict__.items() if not k.startswith("_")} == expected_values
async def test_model_write_dto(
author_model: type[DeclarativeBase],
raw_author: bytes,
asgi_connection: Request[Any, Any, Any],
) -> None:
model = await get_model_from_dto(SQLAlchemyDTO[author_model], author_model, asgi_connection, raw_author) # type: ignore
assert_model_values(
model,
{
"id": UUID("97108ac1-ffcb-411d-8b1e-d9183399f63b"),
"name": "Agatha Christie",
"dob": datetime.date(1890, 9, 15),
},
)
async def test_model_read_dto(
author_model: type[DeclarativeBase],
raw_author: bytes,
asgi_connection: Request[Any, Any, Any],
) -> None:
config = SQLAlchemyDTOConfig()
dto_type = SQLAlchemyDTO[Annotated[author_model, config]] # type: ignore
model = await get_model_from_dto(dto_type, author_model, asgi_connection, raw_author)
assert_model_values(
model,
{
"id": UUID("97108ac1-ffcb-411d-8b1e-d9183399f63b"),
"name": "Agatha Christie",
"dob": datetime.date(1890, 9, 15),
},
)
async def test_model_list_dto(author_model: type[DeclarativeBase], asgi_connection: Request[Any, Any, Any]) -> None:
dto_type = SQLAlchemyDTO[author_model] # type: ignore
raw = b'[{"id": "97108ac1-ffcb-411d-8b1e-d9183399f63b","name":"Agatha Christie","dob":"1890-09-15","created":"0001-01-01T00:00:00","updated":"0001-01-01T00:00:00"}]'
dto_data = await get_model_from_dto(dto_type, list[author_model], asgi_connection, raw) # type: ignore
assert isinstance(dto_data, list)
assert_model_values(
dto_data[0], # type: ignore
{
"id": UUID("97108ac1-ffcb-411d-8b1e-d9183399f63b"),
"name": "Agatha Christie",
"dob": datetime.date(1890, 9, 15),
},
)
async def test_dto_exclude(
author_model: type[DeclarativeBase],
raw_author: bytes,
asgi_connection: Request[Any, Any, Any],
) -> None:
config = SQLAlchemyDTOConfig(exclude={"id"})
model = await get_model_from_dto(
SQLAlchemyDTO[Annotated[author_model, config]], # type: ignore
author_model,
asgi_connection,
raw_author,
)
assert "id" not in vars(model)
async def test_write_dto_field_default(base: type[DeclarativeBase], asgi_connection: Request[Any, Any, Any]) -> None:
class Model(base): # type: ignore
field: Mapped[int] = mapped_column(default=3)
dto_type = SQLAlchemyDTO[Annotated[Model, SQLAlchemyDTOConfig(exclude={"id", "created", "updated"})]]
model = await get_model_from_dto(dto_type, Model, asgi_connection, b'{"a":"b"}')
assert_model_values(model, {"field": 3})
async def test_write_dto_for_model_field_factory_default(
base: type[DeclarativeBase],
asgi_connection: Request[Any, Any, Any],
) -> None:
val = uuid4()
class Model(base): # type: ignore
field: Mapped[UUID] = mapped_column(default=lambda: val)
dto_type = SQLAlchemyDTO[Annotated[Model, SQLAlchemyDTOConfig(exclude={"id", "created", "updated"})]]
model = await get_model_from_dto(dto_type, Model, asgi_connection, b'{"a":"b"}')
assert_model_values(model, {"field": val})
async def test_dto_instrumented_attribute_key(
base: type[DeclarativeBase],
asgi_connection: Request[Any, Any, Any],
) -> None:
val = uuid4()
class Model(base): # type: ignore
field: Mapped[UUID] = mapped_column(default=lambda: val)
dto_type = SQLAlchemyDTO[Annotated[Model, SQLAlchemyDTOConfig(exclude={Model.id, Model.created, Model.updated})]] # pyright: ignore[reportAttributeAccessIssue,reportUnknownMemberType,reportUnknownArgumentType]
model = await get_model_from_dto(dto_type, Model, asgi_connection, b'{"a":"b"}')
assert_model_values(model, {"field": val})
async def test_write_dto_for_model_field_unsupported_default(
base: type[DeclarativeBase],
asgi_connection: Request[Any, Any, Any],
) -> None:
"""Test for error condition where we don't know what to do with a default
type."""
class Model(base): # type: ignore
field: Mapped[datetime.datetime] = mapped_column(default=func.now())
with pytest.raises(ValueError):
await get_model_from_dto(SQLAlchemyDTO[Annotated[Model, SQLAlchemyDTOConfig()]], Model, asgi_connection, b"")
async def test_dto_for_private_model_field(
base: type[DeclarativeBase],
asgi_connection: Request[Any, Any, Any],
) -> None:
class Model(base): # type: ignore
field: Mapped[datetime.datetime] = mapped_column(
info={DTO_FIELD_META_KEY: DTOField(mark=Mark.PRIVATE)},
)
dto_type = SQLAlchemyDTO[Annotated[Model, SQLAlchemyDTOConfig()]]
raw = b'{"id":"97108ac1-ffcb-411d-8b1e-d9183399f63b","created":"0001-01-01T00:00:00","updated":"0001-01-01T00:00:00","field":"0001-01-01T00:00:00"}'
assert "field" not in vars(await get_model_from_dto(dto_type, Model, asgi_connection, raw))
dto_instance = dto_type(asgi_connection)
serializable = dto_instance.data_to_encodable_type( # pyright: ignore[reportUnknownMemberType,reportUnknownVariableType]
Model(
id=UUID("0956ca9e-5671-4d7d-a862-b98e6368ed2c"),
created=datetime.datetime.min,
updated=datetime.datetime.min,
field=datetime.datetime.min,
),
)
assert b"field" not in encode_json(serializable)
async def test_dto_for_non_mapped_model_field(
base: type[DeclarativeBase],
asgi_connection: Request[Any, Any, Any],
) -> None:
class Model(base): # type: ignore
field: ClassVar[datetime.datetime]
dto_type = SQLAlchemyDTO[Annotated[Model, SQLAlchemyDTOConfig()]]
raw = b'{"id": "97108ac1-ffcb-411d-8b1e-d9183399f63b","created":"0001-01-01T00:00:00","updated":"0001-01-01T00:00:00","field":"0001-01-01T00:00:00"}'
assert "field" not in vars(await get_model_from_dto(dto_type, Model, asgi_connection, raw))
async def test_dto_mapped_as_dataclass_model_type(
base: type[DeclarativeBase],
asgi_connection: Request[Any, Any, Any],
) -> None:
"""Test declare pydantic type on `dto.DTOField`."""
class Model(base, MappedAsDataclass): # type: ignore
clz_var: ClassVar[str]
field: Mapped[str]
dto_type = SQLAlchemyDTO[Annotated[Model, SQLAlchemyDTOConfig(exclude={"id"})]]
model = await get_model_from_dto(dto_type, Model, asgi_connection, b'{"clz_var":"nope","field":"yep"}')
assert_model_values(model, {"field": "yep"})
async def test_to_mapped_model_with_collection_relationship(
base: type[DeclarativeBase],
create_module: Callable[[str], ModuleType],
asgi_connection: Request[Any, Any, Any],
) -> None:
"""Test building a DTO with collection relationship, and parsing data."""
module = create_module(
"""
from __future__ import annotations
from typing import Dict, List, Set, Tuple, Type, List
from sqlalchemy import ForeignKey, Integer
from sqlalchemy.orm import DeclarativeBase, Mapped, mapped_column, relationship
from typing_extensions import Annotated
from advanced_alchemy.extensions.litestar.dto import SQLAlchemyDTO, SQLAlchemyDTOConfig
class Base(DeclarativeBase):
id: Mapped[int] = mapped_column(primary_key=True)
class A(Base):
__tablename__ = "a"
b_id: Mapped[int] = mapped_column(ForeignKey("b.id"))
class B(Base):
__tablename__ = "b"
a: Mapped[List[A]] = relationship("A")
dto_type = SQLAlchemyDTO[Annotated[B, SQLAlchemyDTOConfig()]]
""",
)
model = await get_model_from_dto(
module.dto_type,
module.B,
asgi_connection,
b'{"id": 1, "a": [{"id": 2, "b_id": 1}, {"id": 3, "b_id": 1}]}',
)
assert isinstance(model, module.B)
assert len(model.a) == 2
assert all(isinstance(val, module.A) for val in model.a)
async def test_to_mapped_model_with_scalar_relationship(
create_module: Callable[[str], ModuleType],
asgi_connection: Request[Any, Any, Any],
) -> None:
"""Test building DTO with Scalar relationship, and parsing data."""
module = create_module(
"""
from __future__ import annotations
from sqlalchemy import ForeignKey
from sqlalchemy.orm import DeclarativeBase, Mapped, mapped_column, relationship
from typing_extensions import Annotated
from advanced_alchemy.extensions.litestar.dto import SQLAlchemyDTO, SQLAlchemyDTOConfig
class Base(DeclarativeBase):
id: Mapped[int] = mapped_column(primary_key=True)
class A(Base):
__tablename__ = "a"
class B(Base):
__tablename__ = "b"
a_id: Mapped[int] = mapped_column(ForeignKey("a.id"))
a: Mapped[A] = relationship(A)
dto_type = SQLAlchemyDTO[Annotated[B, SQLAlchemyDTOConfig()]]
""",
)
model = await get_model_from_dto(
module.dto_type,
module.B,
asgi_connection,
b'{"id": 2, "a_id": 1, "a": {"id": 1}}',
)
assert isinstance(model, module.B)
assert isinstance(model.a, module.A)
async def test_dto_mapped_union(
create_module: Callable[[str], ModuleType],
asgi_connection: Request[Any, Any, Any],
) -> None:
"""Test where a column type declared as e.g., `Mapped[str | None]`."""
module = create_module(
"""
from __future__ import annotations
from typing import Dict, List, Set, Tuple, Type, Union
from sqlalchemy import ForeignKey
from sqlalchemy.orm import DeclarativeBase, Mapped, mapped_column
from typing_extensions import Annotated
from advanced_alchemy.extensions.litestar.dto import SQLAlchemyDTO
class Base(DeclarativeBase):
id: Mapped[int] = mapped_column(primary_key=True)
class A(Base):
__tablename__ = "a"
a: Mapped[Union[str, None]]
dto_type = SQLAlchemyDTO[A]
""",
)
model = await get_model_from_dto(module.dto_type, module.A, asgi_connection, b'{"id": 1}')
assert vars(model)["a"] is None
@pytest.mark.skipif(sys.version_info < (3, 10), reason="requires python3.10 or higher")
async def test_dto_mapped_union_type(
create_module: Callable[[str], ModuleType],
asgi_connection: Request[Any, Any, Any],
) -> None:
"""Test where a column type declared as e.g., `Mapped[str | None]`."""
module = create_module(
"""
from __future__ import annotations
from typing import Dict, List, Set, Tuple, Type, Union, Optional
from sqlalchemy import ForeignKey
from sqlalchemy.orm import DeclarativeBase, Mapped, mapped_column
from typing_extensions import Annotated
from advanced_alchemy.extensions.litestar.dto import SQLAlchemyDTO
class Base(DeclarativeBase):
id: Mapped[int] = mapped_column(primary_key=True)
class A(Base):
__tablename__ = "a"
a: Mapped[Optional[str]]
dto_type = SQLAlchemyDTO[A]
""",
)
model = await get_model_from_dto(module.dto_type, module.A, asgi_connection, b'{"id": 1}')
assert vars(model)["a"] is None
model = await get_model_from_dto(module.dto_type, module.A, asgi_connection, b'{"id": 1, "a": "a"}')
assert vars(model)["a"] == "a"
async def test_dto_self_referencing_relationships(
create_module: Callable[[str], ModuleType],
asgi_connection: Request[Any, Any, Any],
) -> None:
module = create_module(
"""
from __future__ import annotations
from sqlalchemy import ForeignKey
from sqlalchemy.orm import DeclarativeBase, Mapped, mapped_column, relationship
from advanced_alchemy.extensions.litestar.dto import SQLAlchemyDTO
class Base(DeclarativeBase):
id: Mapped[int] = mapped_column(primary_key=True)
class A(Base):
__tablename__ = "a"
b_id: Mapped[int] = mapped_column(ForeignKey("b.id"))
b: Mapped[B] = relationship(back_populates="a")
class B(Base):
__tablename__ = "b"
a: Mapped[A] = relationship(back_populates="b")
dto_type = SQLAlchemyDTO[A]
""",
)
raw = b'{"id": 1, "b_id": 1, "b": {"id": 1, "a": {"id": 1, "b_id": 1}}}'
model = await get_model_from_dto(module.dto_type, module.A, asgi_connection, raw)
assert isinstance(model, module.A)
assert isinstance(model.b, module.B)
assert isinstance(model.b.a, module.A)
encodable_type = module.dto_type(asgi_connection).data_to_encodable_type(model)
assert encodable_type.id == 1
assert encodable_type.b_id == 1
assert encodable_type.b.id == 1
async def test_dto_optional_relationship_with_none_value(
create_module: Callable[[str], ModuleType],
asgi_connection: Request[Any, Any, Any],
) -> None:
module = create_module(
"""
from __future__ import annotations
from typing import Dict, List, Set, Tuple, Type, Optional
from sqlalchemy import ForeignKey
from sqlalchemy.orm import DeclarativeBase, Mapped, mapped_column, relationship
from typing_extensions import Annotated
from advanced_alchemy.extensions.litestar.dto import SQLAlchemyDTO, SQLAlchemyDTOConfig
class Base(DeclarativeBase):
id: Mapped[int] = mapped_column(primary_key=True)
class A(Base):
__tablename__ = "a"
class B(Base):
__tablename__ = "b"
a_id: Mapped[Optional[int]] = mapped_column(ForeignKey("a.id"))
a: Mapped[Optional[A]] = relationship(A)
dto_type = SQLAlchemyDTO[Annotated[B, SQLAlchemyDTOConfig()]]
""",
)
model = await get_model_from_dto(module.dto_type, module.B, asgi_connection, b'{"id": 2, "a_id": null, "a": null}')
assert isinstance(model, module.B)
assert model.a is None
async def test_forward_ref_relationship_resolution(
create_module: Callable[[str], ModuleType],
asgi_connection: Request[Any, Any, Any],
) -> None:
"""Testing that classes related to the mapped class for the dto are considered for forward-ref resolution.
The key part of this test is that the `B` type is only imported inside an `if TYPE_CHECKING:` block
in `a_module`, so it should not be available for forward-ref resolution when `a_module` is imported. This
works due to related mapped classes (via `mapper.registry.mappers`) being added to forward-ref resolution
namespace.
"""
base_module = create_module(
"""
from __future__ import annotations
from sqlalchemy.orm import DeclarativeBase, Mapped, mapped_column
class Base(DeclarativeBase):
id: Mapped[int] = mapped_column(primary_key=True)
""",
)
b_module = create_module(
f"""
from __future__ import annotations
from {base_module.__name__} import Base
class B(Base):
__tablename__ = "b"
""",
)
a_module = create_module(
f"""
from __future__ import annotations
from typing import Dict, List, Set, Tuple, Type, TYPE_CHECKING
from sqlalchemy import ForeignKey
from sqlalchemy.orm import Mapped, mapped_column, relationship
from typing_extensions import Annotated
from advanced_alchemy.extensions.litestar.dto import SQLAlchemyDTO, SQLAlchemyDTOConfig
from {base_module.__name__} import Base
if TYPE_CHECKING:
from {b_module.__name__} import B
class A(Base):
__tablename__ = "a"
b_id: Mapped[int] = mapped_column(ForeignKey("b.id"))
b: Mapped[B] = relationship()
dto_type = SQLAlchemyDTO[Annotated[A, SQLAlchemyDTOConfig()]]
""",
)
model = await get_model_from_dto(
a_module.dto_type,
a_module.A,
asgi_connection,
b'{"id": 1, "b_id": 2, "b": {"id": 2}}',
)
assert isinstance(model, a_module.A)
assert isinstance(model.b, b_module.B)
async def test_dto_mapped_builtin_collection(
create_module: Callable[[str], ModuleType],
asgi_connection: Request[Any, Any, Any],
) -> None:
"""Test where a column type declared as e.g., `Mapped[dict]`."""
module = create_module(
"""
from __future__ import annotations
from typing import Dict, List, Set, Tuple, Type, Union
from sqlalchemy import ForeignKey, Integer
from sqlalchemy.orm import DeclarativeBase, Mapped, mapped_column
from sqlalchemy.types import JSON, ARRAY
from typing_extensions import Annotated
from advanced_alchemy.extensions.litestar.dto import SQLAlchemyDTO
class Base(DeclarativeBase):
id: Mapped[int] = mapped_column(primary_key=True)
class A(Base):
__tablename__ = "a"
a: Mapped[dict] = mapped_column(JSON)
c: Mapped[list] = mapped_column(ARRAY(Integer))
dto_type = SQLAlchemyDTO[A]
""",
)
model = await get_model_from_dto(
module.dto_type,
module.A,
asgi_connection,
b'{"id": 1, "a": {"b": 1}, "c": [1, 2, 3]}',
)
assert vars(model)["a"] == {"b": 1}
assert vars(model)["c"] == [1, 2, 3]
async def test_no_type_hint_column(base: type[DeclarativeBase], asgi_connection: Request[Any, Any, Any]) -> None:
class Model(base): # type: ignore
nullable_field = mapped_column(sqlalchemy.String)
not_nullable_field = mapped_column(sqlalchemy.String, nullable=False, default="")
dto_type = SQLAlchemyDTO[Annotated[Model, SQLAlchemyDTOConfig()]]
model = await get_model_from_dto(dto_type, Model, asgi_connection, b"{}")
assert model.nullable_field is None
assert model.not_nullable_field == ""
async def test_no_type_hint_scalar_relationship_with_nullable_fk(
base: type[DeclarativeBase],
asgi_connection: Request[Any, Any, Any],
) -> None:
class Child(base): # type: ignore
...
class Model(base): # type: ignore
child_id = mapped_column(ForeignKey("child.id"))
child = relationship(Child)
dto_type = SQLAlchemyDTO[Annotated[Model, SQLAlchemyDTOConfig(exclude={"child_id"})]]
model = await get_model_from_dto(dto_type, Model, asgi_connection, b"{}")
assert model.child is None
async def test_no_type_hint_scalar_relationship_with_not_nullable_fk(
base: type[DeclarativeBase],
asgi_connection: Request[Any, Any, Any],
) -> None:
class Child(base): # type: ignore
...
class Model(base): # type: ignore
child_id = mapped_column(ForeignKey("child.id"), nullable=False)
child = relationship(Child)
dto_type = SQLAlchemyDTO[Annotated[Model, SQLAlchemyDTOConfig(exclude={"child_id"})]]
model = await get_model_from_dto(dto_type, Model, asgi_connection, b'{"child": {}}')
assert isinstance(model.child, Child)
async def test_no_type_hint_collection_relationship(
base: type[DeclarativeBase],
asgi_connection: Request[Any, Any, Any],
) -> None:
class Child(base): # type: ignore
model_id = mapped_column(ForeignKey("model.id"))
class Model(base): # type: ignore
children = relationship(Child)
dto_type = SQLAlchemyDTO[Annotated[Model, SQLAlchemyDTOConfig()]]
model = await get_model_from_dto(dto_type, Model, asgi_connection, b'{"children": []}')
assert model.children == []
async def test_no_type_hint_collection_relationship_alt_collection_class(
base: type[DeclarativeBase],
asgi_connection: Request[Any, Any, Any],
) -> None:
class Child(base): # type: ignore
model_id = mapped_column(ForeignKey("model.id"))
class Model(base): # type: ignore
children = relationship(Child, collection_class=set)
dto_type = SQLAlchemyDTO[Annotated[Model, SQLAlchemyDTOConfig()]]
model = await get_model_from_dto(dto_type, Model, asgi_connection, b'{"children": []}')
assert model.children == set()
def test_parse_type_from_element_failure() -> None:
with pytest.raises(ImproperConfigurationError) as exc:
parse_type_from_element(1, None) # type: ignore
assert str(exc.value) == "Unable to parse type from element '1'. Consider adding a type hint."
async def test_to_mapped_model_with_dynamic_mapped(
create_module: Callable[[str], ModuleType],
asgi_connection: Request[Any, Any, Any],
) -> None:
"""Test building DTO with DynamicMapped relationship, and parsing data."""
module = create_module(
"""
from __future__ import annotations
from sqlalchemy import ForeignKey
from sqlalchemy.orm import DeclarativeBase, DynamicMapped, Mapped, mapped_column, relationship, WriteOnlyMapped
from typing import List
from typing_extensions import Annotated
from advanced_alchemy.extensions.litestar.dto import SQLAlchemyDTO, SQLAlchemyDTOConfig
class Base(DeclarativeBase):
id: Mapped[int] = mapped_column(primary_key=True)
class Child(Base):
__tablename__ = "child"
test_model_id: Mapped[int] = mapped_column(ForeignKey("test_model.id"))
class TestModel(Base):
__tablename__ = "test_model"
children: DynamicMapped[List[Child]] = relationship(Child, lazy="joined")
dto_type = SQLAlchemyDTO[Annotated[TestModel, SQLAlchemyDTOConfig()]]
""",
)
model = await get_model_from_dto(
module.dto_type,
module.TestModel,
asgi_connection,
b'{"id": 2, "children": [{"id": 1, "test_model_id": 2}]}',
)
assert isinstance(model, module.TestModel)
# For DynamicMapped, we should check the query result
child = model.children[0] # Access first item from the dynamic query
assert isinstance(child, module.Child)
async def test_to_mapped_model_with_writeonly_mapped(
create_module: Callable[[str], ModuleType],
asgi_connection: Request[Any, Any, Any],
) -> None:
"""Test building DTO with WriteOnlyMapped relationship, and parsing data."""
module = create_module(
"""
from __future__ import annotations
from sqlalchemy import ForeignKey
from sqlalchemy.orm import DeclarativeBase, Mapped, WriteOnlyMapped, mapped_column, relationship
from typing import List
from typing_extensions import Annotated
from litestar.dto.field import Mark, dto_field
from advanced_alchemy.extensions.litestar.dto import SQLAlchemyDTO, SQLAlchemyDTOConfig
class Base(DeclarativeBase):
id: Mapped[int] = mapped_column(primary_key=True)
class Child(Base):
__tablename__ = "child"
test_model_id: Mapped[int] = mapped_column(ForeignKey("test_model.id"))
class TestModel(Base):
__tablename__ = "test_model"
children: WriteOnlyMapped[List[Child]] = relationship(Child, info=dto_field(mark=Mark.WRITE_ONLY))
dto_type = SQLAlchemyDTO[Annotated[TestModel, SQLAlchemyDTOConfig()]]
""",
)
model = await get_model_from_dto(
module.dto_type,
module.TestModel,
asgi_connection,
b'{"id": 2, "children": [{"id": 1, "test_model_id": 2}]}',
)
assert isinstance(model, module.TestModel)
# WriteOnlyMapped relationships can only be written to, not read from
# So we can only verify the model was created successfully
python-advanced-alchemy-0.34.0/tests/unit/test_extensions/test_litestar/test_dto_integration.py 0000664 0000000 0000000 00000067503 14763441450 0033374 0 ustar 00root root 0000000 0000000 from __future__ import annotations
from dataclasses import dataclass
from types import ModuleType
from typing import Annotated, Any, Callable, Optional
from uuid import UUID
import pytest
from litestar import get, post
from litestar.di import Provide
from litestar.dto import DTOField, Mark
from litestar.dto._backend import _camelize # type: ignore
from litestar.dto.field import DTO_FIELD_META_KEY
from litestar.dto.types import RenameStrategy
from litestar.testing import create_test_client # type: ignore
from sqlalchemy import Column, ForeignKey, Integer, String, Table, func, select
from sqlalchemy.ext.associationproxy import AssociationProxy, association_proxy
from sqlalchemy.ext.hybrid import hybrid_property
from sqlalchemy.orm import (
DeclarativeBase,
Mapped,
column_property,
composite,
declared_attr,
mapped_column,
relationship,
)
from advanced_alchemy.extensions.litestar.dto import SQLAlchemyDTO, SQLAlchemyDTOConfig
class Base(DeclarativeBase):
id: Mapped[str] = mapped_column(primary_key=True, default=UUID)
# noinspection PyMethodParameters
@declared_attr.directive
def __tablename__(cls) -> str:
"""Infer table name from class name."""
return cls.__name__.lower()
class Tag(Base):
name: Mapped[str] = mapped_column(default="best seller")
class TaggableMixin:
@classmethod
@declared_attr.directive
def tag_association_table(cls) -> Table:
return Table(
f"{cls.__tablename__}_tag_association", # type: ignore
cls.metadata, # type: ignore
Column("base_id", ForeignKey(f"{cls.__tablename__}.id", ondelete="CASCADE"), primary_key=True), # type: ignore
Column("tag_id", ForeignKey("tag.id", ondelete="CASCADE"), primary_key=True), # type: ignore
)
@declared_attr
def assigned_tags(cls) -> Mapped[list[Tag]]:
return relationship(
"Tag",
secondary=lambda: cls.tag_association_table,
lazy="immediate",
cascade="all, delete",
passive_deletes=True,
)
@declared_attr
def tags(cls) -> AssociationProxy[list[str]]:
return association_proxy(
"assigned_tags",
"name",
creator=lambda name: Tag(name=name), # pyright: ignore[reportUnknownArgumentType,reportUnknownLambdaType]
info={"__dto__": DTOField()},
)
class Author(Base):
name: Mapped[str] = mapped_column(default="Arthur")
date_of_birth: Mapped[str] = mapped_column(nullable=True)
class BookReview(Base):
review: Mapped[str]
book_id: Mapped[str] = mapped_column(ForeignKey("book.id"), default="000")
class Book(Base):
title: Mapped[str] = mapped_column(String(length=250), default="Hi")
author_id: Mapped[str] = mapped_column(ForeignKey("author.id"), default="123")
first_author: Mapped[Author] = relationship(lazy="joined", innerjoin=True)
reviews: Mapped[list[BookReview]] = relationship(lazy="joined", innerjoin=True)
bar: Mapped[str] = mapped_column(default="Hello")
SPAM: Mapped[str] = mapped_column(default="Bye")
spam_bar: Mapped[str] = mapped_column(default="Goodbye")
number_of_reviews: Mapped[Optional[int]] = column_property( # noqa: UP007
select(func.count(BookReview.id)).where(BookReview.book_id == id).scalar_subquery(), # type: ignore
)
def _rename_field(name: str, strategy: RenameStrategy) -> str:
if callable(strategy):
return strategy(name)
if strategy == "camel":
return _camelize(value=name, capitalize_first_letter=False)
if strategy == "pascal":
return _camelize(value=name, capitalize_first_letter=True)
return name.lower() if strategy == "lower" else name.upper()
@dataclass
class BookAuthorTestData:
book_id: str = "000"
book_title: str = "TDD Python"
book_author_id: str = "123"
book_author_name: str = "Harry Percival"
book_author_date_of_birth: str = "01/01/1900"
book_bar: str = "Hi"
book_SPAM: str = "Bye"
book_spam_bar: str = "GoodBye"
book_review_id: str = "23432"
book_review: str = "Excellent!"
number_of_reviews: int | None = None
@pytest.fixture
def book_json_data() -> Callable[[RenameStrategy, BookAuthorTestData], tuple[dict[str, Any], Book]]:
def _generate(rename_strategy: RenameStrategy, test_data: BookAuthorTestData) -> tuple[dict[str, Any], Book]:
data: dict[str, Any] = {
_rename_field(name="id", strategy=rename_strategy): test_data.book_id,
_rename_field(name="title", strategy=rename_strategy): test_data.book_title,
_rename_field(name="author_id", strategy=rename_strategy): test_data.book_author_id,
_rename_field(name="bar", strategy=rename_strategy): test_data.book_bar,
_rename_field(name="SPAM", strategy=rename_strategy): test_data.book_SPAM,
_rename_field(name="spam_bar", strategy=rename_strategy): test_data.book_spam_bar,
_rename_field(name="first_author", strategy=rename_strategy): {
_rename_field(name="id", strategy=rename_strategy): test_data.book_author_id,
_rename_field(name="name", strategy=rename_strategy): test_data.book_author_name,
_rename_field(name="date_of_birth", strategy=rename_strategy): test_data.book_author_date_of_birth,
},
_rename_field(name="reviews", strategy=rename_strategy): [
{
_rename_field(name="book_id", strategy=rename_strategy): test_data.book_id,
_rename_field(name="id", strategy=rename_strategy): test_data.book_review_id,
_rename_field(name="review", strategy=rename_strategy): test_data.book_review,
},
],
_rename_field(name="number_of_reviews", strategy=rename_strategy): test_data.number_of_reviews,
}
book = Book(
id=test_data.book_id,
title=test_data.book_title,
author_id=test_data.book_author_id,
bar=test_data.book_bar,
SPAM=test_data.book_SPAM,
spam_bar=test_data.book_spam_bar,
first_author=Author(
id=test_data.book_author_id,
name=test_data.book_author_name,
date_of_birth=test_data.book_author_date_of_birth,
),
reviews=[
BookReview(id=test_data.book_review_id, review=test_data.book_review, book_id=test_data.book_id),
],
)
return data, book
return _generate
@pytest.mark.parametrize(
"rename_strategy",
("camel",),
)
def test_fields_alias_generator_sqlalchemy(
rename_strategy: RenameStrategy,
book_json_data: Callable[[RenameStrategy, BookAuthorTestData], tuple[dict[str, Any], Book]],
) -> None:
test_data = BookAuthorTestData()
json_data, instance = book_json_data(rename_strategy, test_data)
config = SQLAlchemyDTOConfig(rename_strategy=rename_strategy)
dto = SQLAlchemyDTO[Annotated[Book, config]]
@post(dto=dto, signature_namespace={"Book": Book})
def post_handler(data: Book) -> Book:
return data
@get(dto=dto, signature_namespace={"Book": Book})
def get_handler() -> Book:
return instance
with create_test_client(
route_handlers=[post_handler, get_handler],
) as client:
response_callback = client.get("/")
assert response_callback.json() == json_data
response_callback = client.post("/", json=json_data)
assert response_callback.json() == json_data
class ConcreteBase(Base):
pass
func_result_query = select(func.count()).scalar_subquery()
model_with_func_query = select(ConcreteBase, func_result_query.label("func_result")).subquery()
class ModelWithFunc(Base):
__table__ = model_with_func_query
func_result: Mapped[Optional[int]] = column_property(model_with_func_query.c.func_result) # noqa: UP007
def test_model_using_func() -> None:
instance = ModelWithFunc(id="hi")
config = SQLAlchemyDTOConfig()
dto = SQLAlchemyDTO[Annotated[ModelWithFunc, config]]
@get(dto=dto, signature_namespace={"ModelWithFunc": ModelWithFunc})
async def get_handler() -> ModelWithFunc:
return instance
with create_test_client(
route_handlers=[get_handler],
) as client:
response_callback = client.get("/")
assert response_callback
def test_dto_with_association_proxy(create_module: Callable[[str], ModuleType]) -> None:
module = create_module(
"""
from __future__ import annotations
from typing import Dict, List, Set, Tuple, Type, Final, List, Generator
from sqlalchemy import Column
from sqlalchemy import ForeignKey
from sqlalchemy import Integer
from sqlalchemy import String
from sqlalchemy import Table
from sqlalchemy.orm import DeclarativeBase
from sqlalchemy.orm import Mapped
from sqlalchemy.orm import mapped_column
from sqlalchemy.orm import relationship
from sqlalchemy.ext.associationproxy import association_proxy
from sqlalchemy.ext.associationproxy import AssociationProxy
from litestar import get
from advanced_alchemy.extensions.litestar.dto import SQLAlchemyDTO
from litestar.dto import dto_field
class Base(DeclarativeBase):
pass
class User(Base):
__tablename__ = "user"
id: Mapped[int] = mapped_column(primary_key=True)
kw: Mapped[List[Keyword]] = relationship(secondary=lambda: user_keyword_table, info=dto_field("private"))
# proxy the 'keyword' attribute from the 'kw' relationship
keywords: AssociationProxy[List[str]] = association_proxy("kw", "keyword")
class Keyword(Base):
__tablename__ = "keyword"
id: Mapped[int] = mapped_column(primary_key=True)
keyword: Mapped[str] = mapped_column(String(64))
user_keyword_table: Final[Table] = Table(
"user_keyword",
Base.metadata,
Column("user_id", Integer, ForeignKey("user.id"), primary_key=True),
Column("keyword_id", Integer, ForeignKey("keyword.id"), primary_key=True),
)
dto = SQLAlchemyDTO[User]
@get("/", return_dto=dto)
async def get_handler() -> User:
return User(id=1, kw=[Keyword(keyword="bar"), Keyword(keyword="baz")])
""",
)
with create_test_client(route_handlers=[module.get_handler]) as client:
response = client.get("/")
assert response.json() == {"id": 1, "keywords": ["bar", "baz"]}
def test_dto_with_hybrid_property(create_module: Callable[[str], ModuleType]) -> None:
module = create_module(
"""
from __future__ import annotations
from sqlalchemy.ext.hybrid import hybrid_property
from sqlalchemy.orm import DeclarativeBase
from sqlalchemy.orm import Mapped
from sqlalchemy.orm import mapped_column
from litestar import get
from advanced_alchemy.extensions.litestar.dto import SQLAlchemyDTO
class Base(DeclarativeBase):
pass
class Interval(Base):
__tablename__ = 'interval'
id: Mapped[int] = mapped_column(primary_key=True)
start: Mapped[int]
end: Mapped[int]
@hybrid_property
def length(self) -> int:
return self.end - self.start
dto = SQLAlchemyDTO[Interval]
@get("/", return_dto=dto)
async def get_handler() -> Interval:
return Interval(id=1, start=1, end=3)
""",
)
with create_test_client(route_handlers=[module.get_handler]) as client:
response = client.get("/")
assert response.json() == {"id": 1, "start": 1, "end": 3, "length": 2}
def test_dto_with_hybrid_property_expression(create_module: Callable[[str], ModuleType]) -> None:
module = create_module(
"""
from __future__ import annotations
from sqlalchemy.ext.hybrid import hybrid_property
from sqlalchemy.orm import DeclarativeBase
from sqlalchemy.orm import Mapped
from sqlalchemy.orm import mapped_column
from sqlalchemy.sql import SQLColumnExpression
from litestar import get
from advanced_alchemy.extensions.litestar.dto import SQLAlchemyDTO
class Base(DeclarativeBase):
pass
class Interval(Base):
__tablename__ = 'interval'
id: Mapped[int] = mapped_column(primary_key=True)
start: Mapped[int]
end: Mapped[int]
@hybrid_property
def length(self) -> int:
return self.end - self.start
@length.inplace.expression
def _length_expression(cls) -> SQLColumnExpression[int]:
return cls.end - cls.start
dto = SQLAlchemyDTO[Interval]
@get("/", return_dto=dto)
async def get_handler() -> Interval:
return Interval(id=1, start=1, end=3)
""",
)
with create_test_client(route_handlers=[module.get_handler]) as client:
response = client.get("/")
assert response.json() == {"id": 1, "start": 1, "end": 3, "length": 2}
def test_dto_with_hybrid_property_setter(create_module: Callable[[str], ModuleType]) -> None:
module = create_module(
"""
from __future__ import annotations
from sqlalchemy.ext.hybrid import hybrid_property
from sqlalchemy.orm import DeclarativeBase
from sqlalchemy.orm import Mapped
from sqlalchemy.orm import mapped_column
from sqlalchemy.sql import SQLColumnExpression
from litestar import post
from advanced_alchemy.extensions.litestar.dto import SQLAlchemyDTO
from litestar.dto import dto_field
class Base(DeclarativeBase):
pass
class Circle(Base):
__tablename__ = 'circle'
id: Mapped[int] = mapped_column(primary_key=True, info=dto_field("read-only"))
diameter: Mapped[float] = mapped_column(info=dto_field("private"))
@hybrid_property
def radius(self) -> float:
return self.diameter / 2
@radius.inplace.setter
def _radius_setter(self, value: float) -> None:
self.diameter = value * 2
dto = SQLAlchemyDTO[Circle]
DIAMETER: float = 0
@post("/", dto=dto, sync_to_thread=False)
def get_handler(data: Circle) -> Circle:
global DIAMETER
DIAMETER = data.diameter
data.id = 1
return data
""",
)
with create_test_client(route_handlers=[module.get_handler]) as client:
response = client.post("/", json={"radius": 5})
assert response.json() == {"id": 1, "radius": 5}
assert module.DIAMETER == 10
@pytest.mark.skip(reason="Debug me!")
async def test_dto_with_composite_map() -> None:
@dataclass
class Point:
x: int
y: int
class Vertex1(Base):
start: Mapped[Point] = composite(mapped_column("x1"), mapped_column("y1"))
end: Mapped[Point] = composite(mapped_column("x2"), mapped_column("y2"))
dto = SQLAlchemyDTO[Vertex1]
@post(dto=dto, signature_namespace={"Vertex": Vertex1})
async def post_handler(data: Vertex1) -> Vertex1:
return data
with create_test_client(route_handlers=[post_handler]) as client:
response = client.post(
"/",
json={
"id": "1",
"start": {"x": 10, "y": 20},
"end": {"x": 1, "y": 2},
},
)
assert response.json() == {
"id": "1",
"start": {"x": 10, "y": 20},
"end": {"x": 1, "y": 2},
}
@pytest.mark.skip(reason="Debug me!")
async def test_dto_with_composite_map_using_explicit_columns() -> None:
@dataclass
class Point:
x: int
y: int
class Vertex2(Base):
x1: Mapped[int]
y1: Mapped[int]
x2: Mapped[int]
y2: Mapped[int]
start: Mapped[Point] = composite("x1", "y1")
end: Mapped[Point] = composite("x2", "y2")
dto = SQLAlchemyDTO[Vertex2]
@post(dto=dto, signature_namespace={"Vertex": Vertex2})
async def post_handler(data: Vertex2) -> Vertex2:
return data
with create_test_client(route_handlers=[post_handler]) as client:
response = client.post(
"/",
json={
"id": "1",
"start": {"x": 10, "y": 20},
"end": {"x": 1, "y": 2},
},
)
assert response.json() == {
"id": "1",
"start": {"x": 10, "y": 20},
"end": {"x": 1, "y": 2},
}
@pytest.mark.skip(reason="Debug me!")
async def test_dto_with_composite_map_using_hybrid_imperative_mapping() -> None:
@dataclass
class Point:
x: int
y: int
table = Table(
"vertices2",
Base.metadata,
Column("id", String, primary_key=True),
Column("x1", Integer),
Column("y1", Integer),
Column("x2", Integer),
Column("y2", Integer),
)
class Vertex3(Base):
__table__ = table
id: Mapped[str]
start = composite(Point, table.c.x1, table.c.y1)
end = composite(Point, table.c.x2, table.c.y2)
dto = SQLAlchemyDTO[Vertex3]
@post(dto=dto, signature_namespace={"Vertex": Vertex3})
async def post_handler(data: Vertex3) -> Vertex3:
return data
with create_test_client(route_handlers=[post_handler]) as client:
response = client.post(
"/",
json={
"id": "1",
"start": {"x": 10, "y": 20},
"end": {"x": 1, "y": 2},
},
)
assert response.json() == {
"id": "1",
"start": {"x": 10, "y": 20},
"end": {"x": 1, "y": 2},
}
async def test_field_with_sequence_default(create_module: Callable[[str], ModuleType]) -> None:
module = create_module(
"""
from sqlalchemy import create_engine, Column, Integer, Sequence
from sqlalchemy.orm import DeclarativeBase, Mapped, sessionmaker
from litestar import Litestar, post
from advanced_alchemy.extensions.litestar.dto import SQLAlchemyDTO, SQLAlchemyDTOConfig
engine = create_engine('sqlite:///:memory:', echo=True)
Session = sessionmaker(bind=engine, expire_on_commit=False)
class Base(DeclarativeBase):
pass
class Model(Base):
__tablename__ = "model"
id: Mapped[int] = Column(Integer, Sequence('model_id_seq', optional=False), primary_key=True)
val: Mapped[str]
class ModelCreateDTO(SQLAlchemyDTO[Model]):
config = SQLAlchemyDTOConfig(exclude={"id"})
ModelReturnDTO = SQLAlchemyDTO[Model]
@post("/", dto=ModelCreateDTO, return_dto=ModelReturnDTO)
def post_handler(data: Model) -> Model:
Base.metadata.create_all(engine)
with Session() as session:
session.add(data)
session.commit()
return data
""",
)
with create_test_client(route_handlers=[module.post_handler]) as client:
response = client.post("/", json={"id": 1, "val": "value"})
assert response.json() == {"id": 1, "val": "value"}
async def test_disable_implicitly_mapped_columns_using_annotated_notation() -> None:
class Base(DeclarativeBase):
id: Mapped[int] = mapped_column(default=int, primary_key=True)
table = Table(
"vertices2",
Base.metadata,
Column("id", Integer, primary_key=True),
Column("field", String, nullable=True),
)
class Model(Base):
__table__ = table
id: Mapped[int]
@hybrid_property
def id_multiplied(self) -> int:
return self.id * 10
dto_type = SQLAlchemyDTO[Annotated[Model, SQLAlchemyDTOConfig(include_implicit_fields=False)]]
@get(
dto=None,
return_dto=dto_type,
signature_namespace={"Model": Model},
dependencies={"model": Provide(lambda: Model(id=123, field="hi"), sync_to_thread=False)},
)
async def post_handler(model: Model) -> Model:
return model
with create_test_client(route_handlers=[post_handler]) as client:
response = client.get(
"/",
)
json = response.json()
assert json.get("field") is None
assert json.get("id_multiplied") is None
async def test_disable_implicitly_mapped_columns_special() -> None:
class Base(DeclarativeBase):
id: Mapped[int] = mapped_column(default=int, primary_key=True)
table = Table(
"vertices2",
Base.metadata,
Column("id", Integer, primary_key=True),
Column("field", String, nullable=True),
)
class Model(Base):
__table__ = table
id: Mapped[int]
class dto_type(SQLAlchemyDTO[Model]):
config = SQLAlchemyDTOConfig(include_implicit_fields=False)
@get(
dto=None,
return_dto=dto_type,
signature_namespace={"Model": Model},
dependencies={"model": Provide(lambda: Model(id=123, field="hi"), sync_to_thread=False)},
)
async def post_handler(model: Model) -> Model:
return model
with create_test_client(route_handlers=[post_handler]) as client:
response = client.get(
"/",
)
json = response.json()
assert json.get("field") is None
async def test_disable_implicitly_mapped_columns_with_hybrid_properties_and_Mark_overrides() -> None:
class Base(DeclarativeBase):
id: Mapped[int] = mapped_column(default=int, primary_key=True)
table = Table(
"vertices2",
Base.metadata,
Column("id", Integer, primary_key=True),
Column("field", String, nullable=True),
Column("field2", String),
Column("field3", String),
Column("field4", String),
)
class Model(Base):
__table__ = table
id: Mapped[int]
field2 = column_property(table.c.field2, info={DTO_FIELD_META_KEY: DTOField(mark=Mark.READ_ONLY)}) # type: ignore
field3 = column_property(table.c.field3, info={DTO_FIELD_META_KEY: DTOField(mark=Mark.WRITE_ONLY)}) # type: ignore
field4 = column_property(table.c.field4, info={DTO_FIELD_META_KEY: DTOField(mark=Mark.PRIVATE)}) # type: ignore
@hybrid_property
def id_multiplied(self) -> int:
return self.id * 10
dto_type = SQLAlchemyDTO[
Annotated[
Model,
SQLAlchemyDTOConfig(include_implicit_fields="hybrid-only"),
]
]
@get(
dto=None,
return_dto=dto_type,
signature_namespace={"Model": Model},
dependencies={
"model": Provide(
lambda: Model(id=12, field="hi", field2="bye2", field3="bye3", field4="bye4"),
sync_to_thread=False,
),
},
)
async def post_handler(model: Model) -> Model:
return model
with create_test_client(route_handlers=[post_handler]) as client:
response = client.get(
"/",
)
json = response.json()
assert json.get("id_multiplied") == 120
assert json.get("field") is None
assert json.get("field2") is not None
assert json.get("field3") is not None
assert json.get("field4") is None
def test_dto_to_sync_service(create_module: Callable[[str], ModuleType]) -> None:
module = create_module(
"""
from __future__ import annotations
from typing import Dict, List, Set, Tuple, Type, Generator
from litestar import post
from litestar.di import Provide
from litestar.dto import DTOData
from sqlalchemy import create_engine
from sqlalchemy.orm import Mapped, sessionmaker
from advanced_alchemy.extensions.litestar import SQLAlchemyDTO, SQLAlchemyDTOConfig, base, repository, service
engine = create_engine("sqlite:///:memory:", echo=True, connect_args={"check_same_thread": False})
Session = sessionmaker(bind=engine, expire_on_commit=False)
class Model(base.BigIntBase):
val: Mapped[str]
class ModelCreateDTO(SQLAlchemyDTO[Model]):
config = SQLAlchemyDTOConfig(exclude={"id"})
ModelReturnDTO = SQLAlchemyDTO[Model]
class ModelRepository(repository.SQLAlchemySyncRepository[Model]):
model_type=Model
class ModelService(service.SQLAlchemySyncRepositoryService[Model]):
repository_type = ModelRepository
def provide_service( ) -> Generator[ModelService, None, None]:
Model.metadata.create_all(engine)
with Session() as db_session, ModelService.new(session=db_session) as service:
yield service
Model.metadata.drop_all(engine)
@post("/", dependencies={"service": Provide(provide_service)}, dto=ModelCreateDTO, return_dto=ModelReturnDTO)
def post_handler(data: DTOData[Model], service: ModelService) -> Model:
return service.create(data, auto_commit=True)
""",
)
with create_test_client(route_handlers=[module.post_handler]) as client:
response = client.post("/", json={"id": 1, "val": "value"})
assert response.json() == {"id": 1, "val": "value"}
async def test_dto_to_async_service(create_module: Callable[[str], ModuleType]) -> None:
module = create_module(
"""
from __future__ import annotations
from typing import Dict, List, Set, Tuple, Type, AsyncGenerator
from litestar import post
from litestar.di import Provide
from litestar.dto import DTOData # noqa: TCH002
from sqlalchemy.ext.asyncio import async_sessionmaker, create_async_engine
from sqlalchemy.orm import Mapped # noqa: TCH002
from advanced_alchemy.extensions.litestar import SQLAlchemyDTO, SQLAlchemyDTOConfig, base, repository, service
engine = create_async_engine("sqlite+aiosqlite:///:memory:", echo=True, connect_args={"check_same_thread": False})
Session = async_sessionmaker(bind=engine, expire_on_commit=False)
class AModel(base.BigIntBase):
val: Mapped[str]
class ModelCreateDTO(SQLAlchemyDTO[AModel]):
config = SQLAlchemyDTOConfig(exclude={"id"})
ModelReturnDTO = SQLAlchemyDTO[AModel]
class ModelRepository(repository.SQLAlchemyAsyncRepository[AModel]):
model_type=AModel
class ModelService(service.SQLAlchemyAsyncRepositoryService[AModel]):
repository_type = ModelRepository
async def provide_service( ) -> AsyncGenerator[ModelService, None]:
async with engine.begin() as conn:
await conn.run_sync(AModel.metadata.create_all)
async with Session() as db_session, ModelService.new(session=db_session) as service:
yield service
async with engine.begin() as conn:
await conn.run_sync(AModel.metadata.create_all)
@post("/", dependencies={"service": Provide(provide_service)}, dto=ModelCreateDTO, return_dto=ModelReturnDTO)
async def post_handler(data: DTOData[AModel], service: ModelService) -> AModel:
return await service.create(data, auto_commit=True)
""",
)
with create_test_client(route_handlers=[module.post_handler]) as client:
response = client.post("/", json={"id": 1, "val": "value"})
assert response.json() == {"id": 1, "val": "value"}
def test_dto_with_declared_attr(create_module: Callable[[str], ModuleType]) -> None:
module = create_module(
"""
from __future__ import annotations
from typing import Dict, List, Set, Tuple, Type, Union
from litestar import post
from litestar.di import Provide
from litestar.dto import DTOData, DTOField, Mark
from litestar.dto.field import DTO_FIELD_META_KEY
from sqlalchemy import create_engine
from sqlalchemy.orm import DeclarativeBase, Mapped, column_property, declared_attr, mapped_column, sessionmaker
from advanced_alchemy.extensions.litestar import SQLAlchemyDTO, SQLAlchemyDTOConfig, base, repository, service
engine = create_engine("sqlite:///:memory:", echo=True, connect_args={"check_same_thread": False})
Session = sessionmaker(bind=engine, expire_on_commit=False)
class Model(base.BigIntBase):
__tablename__ = "a"
a: Mapped[int] = mapped_column()
@declared_attr
def a_doubled(cls) -> Mapped[int]:
return column_property(cls.a * 2, info={DTO_FIELD_META_KEY: DTOField(mark=Mark.READ_ONLY)})
class ModelCreateDTO(SQLAlchemyDTO[Model]):
config = SQLAlchemyDTOConfig(exclude={"id"})
ModelReturnDTO = SQLAlchemyDTO[Model]
class ModelRepository(repository.SQLAlchemySyncRepository[Model]):
model_type=Model
class ModelService(service.SQLAlchemySyncRepositoryService[Model]):
repository_type = ModelRepository
def provide_service( ) -> Generator[ModelService, None, None]:
Model.metadata.create_all(engine)
with Session() as db_session, ModelService.new(session=db_session) as service:
yield service
Model.metadata.drop_all(engine)
@post("/", dependencies={"service": Provide(provide_service)}, dto=ModelCreateDTO, return_dto=ModelReturnDTO)
def post_handler(data: DTOData[Model], service: ModelService) -> Model:
return service.create(data, auto_commit=True)
""",
)
with create_test_client(route_handlers=[module.post_handler]) as client:
response = client.post("/", json={"id": 1, "a": 21})
assert response.json() == {"id": 1, "a": 21, "a_doubled": 42}
python-advanced-alchemy-0.34.0/tests/unit/test_extensions/test_litestar/test_init_plugin/ 0000775 0000000 0000000 00000000000 14763441450 0032137 5 ustar 00root root 0000000 0000000 python-advanced-alchemy-0.34.0/tests/unit/test_extensions/test_litestar/test_init_plugin/__init__.py0000664 0000000 0000000 00000000000 14763441450 0034236 0 ustar 00root root 0000000 0000000 test_asyncio.py 0000664 0000000 0000000 00000042443 14763441450 0035145 0 ustar 00root root 0000000 0000000 python-advanced-alchemy-0.34.0/tests/unit/test_extensions/test_litestar/test_init_plugin from __future__ import annotations
import random
from typing import TYPE_CHECKING
from unittest.mock import MagicMock, patch
import pytest
from asgi_lifespan import LifespanManager
from litestar import Litestar, Request, Response, get
from litestar.status_codes import (
HTTP_404_NOT_FOUND,
HTTP_409_CONFLICT,
HTTP_500_INTERNAL_SERVER_ERROR,
)
from litestar.testing import RequestFactory, create_test_client
from litestar.types.asgi_types import HTTPResponseStartEvent
from pytest import MonkeyPatch
from sqlalchemy.ext.asyncio import AsyncSession
from advanced_alchemy.exceptions import (
DuplicateKeyError,
ForeignKeyError,
ImproperConfigurationError,
IntegrityError,
InvalidRequestError,
NotFoundError,
RepositoryError,
)
from advanced_alchemy.extensions.litestar._utils import set_aa_scope_state
from advanced_alchemy.extensions.litestar.exception_handler import exception_to_http_response
from advanced_alchemy.extensions.litestar.plugins import SQLAlchemyAsyncConfig, SQLAlchemyInitPlugin
from advanced_alchemy.extensions.litestar.plugins.init.config.asyncio import (
autocommit_before_send_handler,
autocommit_handler_maker,
)
if TYPE_CHECKING:
from typing import Any, Callable
from litestar.types import Scope
def test_default_before_send_handler() -> None:
"""Test default_before_send_handler."""
captured_scope_state: dict[str, Any] | None = None
config = SQLAlchemyAsyncConfig(connection_string="sqlite+aiosqlite://")
plugin = SQLAlchemyInitPlugin(config=config)
@get()
async def test_handler(db_session: AsyncSession, scope: Scope) -> None:
nonlocal captured_scope_state
captured_scope_state = scope["state"]
assert db_session is captured_scope_state[config.session_dependency_key]
with create_test_client(route_handlers=[test_handler], plugins=[plugin]) as client:
client.get("/")
assert captured_scope_state is not None
assert config.session_dependency_key not in captured_scope_state # pyright: ignore
def test_default_before_send_handle_multi() -> None:
"""Test default_before_send_handler."""
captured_scope_state: dict[str, Any] | None = None
config1 = SQLAlchemyAsyncConfig(connection_string="sqlite+aiosqlite://")
config2 = SQLAlchemyAsyncConfig(
connection_string="sqlite+aiosqlite://",
session_dependency_key="other_session",
session_scope_key="_sqlalchemy_state_2",
engine_dependency_key="other_engine",
)
plugin = SQLAlchemyInitPlugin(config=[config1, config2])
@get()
async def test_handler(db_session: AsyncSession, scope: Scope) -> None:
nonlocal captured_scope_state
captured_scope_state = scope["state"]
assert db_session is captured_scope_state[config1.session_dependency_key]
with create_test_client(route_handlers=[test_handler], plugins=[plugin]) as client:
client.get("/")
assert captured_scope_state is not None
assert config1.session_dependency_key not in captured_scope_state
async def test_create_all_default(monkeypatch: MonkeyPatch) -> None:
"""Test default_before_send_handler."""
config = SQLAlchemyAsyncConfig(connection_string="sqlite+aiosqlite://")
plugin = SQLAlchemyInitPlugin(config=config)
app = Litestar(route_handlers=[], plugins=[plugin])
with patch.object(
config,
"create_all_metadata",
) as create_all_metadata_mock:
async with LifespanManager(app): # type: ignore[arg-type] # pyright: ignore[reportArgumentType]
create_all_metadata_mock.assert_not_called()
async def test_create_all(monkeypatch: MonkeyPatch) -> None:
"""Test default_before_send_handler."""
config = SQLAlchemyAsyncConfig(connection_string="sqlite+aiosqlite://", create_all=True)
plugin = SQLAlchemyInitPlugin(config=config)
app = Litestar(route_handlers=[], plugins=[plugin])
with patch.object(
config,
"create_all_metadata",
) as create_all_metadata_mock:
async with LifespanManager(app): # type: ignore[arg-type] # pyright: ignore[reportArgumentType]
create_all_metadata_mock.assert_called_once()
async def test_before_send_handler_success_response(create_scope: Callable[..., Scope]) -> None:
"""Test that the session is committed given a success response."""
config = SQLAlchemyAsyncConfig(
connection_string="sqlite+aiosqlite://",
before_send_handler=autocommit_before_send_handler,
)
app = Litestar(route_handlers=[], plugins=[SQLAlchemyInitPlugin(config)])
mock_session = MagicMock(spec=AsyncSession)
http_scope = create_scope(app=app)
set_aa_scope_state(http_scope, config.session_scope_key, mock_session)
http_response_start: HTTPResponseStartEvent = {
"type": "http.response.start",
"status": random.randint(200, 299),
"headers": {},
}
await autocommit_before_send_handler(http_response_start, http_scope)
mock_session.commit.assert_awaited_once()
async def test_before_send_handler_success_response_autocommit(create_scope: Callable[..., Scope]) -> None:
"""Test that the session is committed given a success response."""
config = SQLAlchemyAsyncConfig(
connection_string="sqlite+aiosqlite://",
before_send_handler="autocommit",
)
app = Litestar(route_handlers=[], plugins=[SQLAlchemyInitPlugin(config)])
mock_session = MagicMock(spec=AsyncSession)
http_scope = create_scope(app=app)
set_aa_scope_state(http_scope, config.session_scope_key, mock_session)
http_response_start: HTTPResponseStartEvent = {
"type": "http.response.start",
"status": random.randint(200, 299),
"headers": {},
}
await autocommit_before_send_handler(http_response_start, http_scope)
mock_session.commit.assert_awaited_once()
async def test_before_send_handler_error_response(create_scope: Callable[..., Scope]) -> None:
"""Test that the session is rolled back given an error response."""
config = SQLAlchemyAsyncConfig(
connection_string="sqlite+aiosqlite://",
before_send_handler=autocommit_before_send_handler,
)
app = Litestar(route_handlers=[], plugins=[SQLAlchemyInitPlugin(config)])
mock_session = MagicMock(spec=AsyncSession)
http_scope = create_scope(app=app)
set_aa_scope_state(http_scope, config.session_scope_key, mock_session)
http_response_start: HTTPResponseStartEvent = {
"type": "http.response.start",
"status": random.randint(300, 599),
"headers": {},
}
await autocommit_before_send_handler(http_response_start, http_scope)
mock_session.rollback.assert_awaited_once()
async def test_autocommit_handler_maker_redirect_response(create_scope: Callable[..., Scope]) -> None:
"""Test that the handler created by the handler maker commits on redirect"""
autocommit_redirect_handler = autocommit_handler_maker(commit_on_redirect=True)
config = SQLAlchemyAsyncConfig(
connection_string="sqlite+aiosqlite://",
before_send_handler=autocommit_redirect_handler,
)
app = Litestar(route_handlers=[], plugins=[SQLAlchemyInitPlugin(config)])
mock_session = MagicMock(spec=AsyncSession)
http_scope = create_scope(app=app)
set_aa_scope_state(http_scope, config.session_scope_key, mock_session)
http_response_start: HTTPResponseStartEvent = {
"type": "http.response.start",
"status": random.randint(300, 399),
"headers": {},
}
await autocommit_redirect_handler(http_response_start, http_scope)
mock_session.commit.assert_awaited_once()
async def test_autocommit_handler_maker_commit_statuses(create_scope: Callable[..., Scope]) -> None:
"""Test that the handler created by the handler maker commits on explicit statuses"""
custom_autocommit_handler = autocommit_handler_maker(extra_commit_statuses={302, 303})
config = SQLAlchemyAsyncConfig(
connection_string="sqlite+aiosqlite://",
before_send_handler=custom_autocommit_handler,
)
app = Litestar(route_handlers=[], plugins=[SQLAlchemyInitPlugin(config)])
mock_session = MagicMock(spec=AsyncSession)
http_scope = create_scope(app=app)
set_aa_scope_state(http_scope, config.session_scope_key, mock_session)
http_response_start: HTTPResponseStartEvent = {
"type": "http.response.start",
"status": random.randint(302, 303),
"headers": {},
}
await custom_autocommit_handler(http_response_start, http_scope)
mock_session.commit.assert_awaited_once()
async def test_autocommit_handler_maker_rollback_statuses(create_scope: Callable[..., Scope]) -> None:
"""Test that the handler created by the handler maker rolls back on explicit statuses"""
custom_autocommit_handler = autocommit_handler_maker(commit_on_redirect=True, extra_rollback_statuses={307, 308})
config = SQLAlchemyAsyncConfig(
connection_string="sqlite+aiosqlite://",
before_send_handler=custom_autocommit_handler,
)
app = Litestar(route_handlers=[], plugins=[SQLAlchemyInitPlugin(config)])
mock_session = MagicMock(spec=AsyncSession)
http_scope = create_scope(app=app)
set_aa_scope_state(http_scope, config.session_scope_key, mock_session)
http_response_start: HTTPResponseStartEvent = {
"type": "http.response.start",
"status": random.randint(307, 308),
"headers": {},
}
await custom_autocommit_handler(http_response_start, http_scope)
mock_session.rollback.assert_awaited_once()
async def test_autocommit_handler_maker_rollback_statuses_multi(create_scope: Callable[..., Scope]) -> None:
"""Test that the handler created by the handler maker rolls back on explicit statuses"""
custom_autocommit_handler = autocommit_handler_maker(
session_scope_key="_sqlalchemy_state_2",
commit_on_redirect=True,
extra_rollback_statuses={307, 308},
)
config1 = SQLAlchemyAsyncConfig(
connection_string="sqlite+aiosqlite://",
)
config2 = SQLAlchemyAsyncConfig(
connection_string="sqlite+aiosqlite://",
before_send_handler=custom_autocommit_handler,
session_dependency_key="other_session",
engine_dependency_key="other_engine",
session_scope_key="_sqlalchemy_state_2",
)
app = Litestar(route_handlers=[], plugins=[SQLAlchemyInitPlugin(config=[config1, config2])])
mock_session1 = MagicMock(spec=AsyncSession)
mock_session2 = MagicMock(spec=AsyncSession)
http_scope = create_scope(app=app)
set_aa_scope_state(http_scope, config1.session_scope_key, mock_session1)
set_aa_scope_state(http_scope, config2.session_scope_key, mock_session2)
http_response_start: HTTPResponseStartEvent = {
"type": "http.response.start",
"status": random.randint(307, 308),
"headers": {},
}
await custom_autocommit_handler(http_response_start, http_scope)
mock_session2.rollback.assert_called_once()
mock_session1.rollback.assert_not_called()
async def test_autocommit_handler_maker_rollback_statuses_multi_bad_config(create_scope: Callable[..., Scope]) -> None:
"""Test that the handler created by the handler maker rolls back on explicit statuses"""
with pytest.raises(ImproperConfigurationError):
custom_autocommit_handler = autocommit_handler_maker(
session_scope_key="_sqlalchemy_state_2",
commit_on_redirect=True,
extra_rollback_statuses={307, 308},
)
config1 = SQLAlchemyAsyncConfig(
connection_string="sqlite+aiosqlite://",
)
config2 = SQLAlchemyAsyncConfig(
connection_string="sqlite+aiosqlite://",
before_send_handler=custom_autocommit_handler,
session_dependency_key="other_session",
session_scope_key="_sqlalchemy_state_2",
)
app = Litestar(route_handlers=[], plugins=[SQLAlchemyInitPlugin(config=[config1, config2])])
mock_session1 = MagicMock(spec=AsyncSession)
mock_session2 = MagicMock(spec=AsyncSession)
http_scope = create_scope(app=app)
set_aa_scope_state(http_scope, config1.session_scope_key, mock_session1)
set_aa_scope_state(http_scope, config2.session_scope_key, mock_session2)
http_response_start: HTTPResponseStartEvent = {
"type": "http.response.start",
"status": random.randint(307, 308),
"headers": {},
}
await custom_autocommit_handler(http_response_start, http_scope)
mock_session2.rollback.assert_called_once()
mock_session1.rollback.assert_not_called()
async def test_autocommit_handler_maker_multi(create_scope: Callable[..., Scope]) -> None:
"""Test that the handler created by the handler maker rolls back on explicit statuses"""
config1 = SQLAlchemyAsyncConfig(
connection_string="sqlite+aiosqlite://",
before_send_handler="autocommit",
)
config2 = SQLAlchemyAsyncConfig(
connection_string="sqlite+aiosqlite://",
before_send_handler="autocommit",
session_dependency_key="other_session",
engine_dependency_key="other_engine",
)
app = Litestar(route_handlers=[], plugins=[SQLAlchemyInitPlugin(config=[config1, config2])])
mock_session1 = MagicMock(spec=AsyncSession)
mock_session2 = MagicMock(spec=AsyncSession)
http_scope = create_scope(app=app)
set_aa_scope_state(http_scope, config1.session_scope_key, mock_session1)
set_aa_scope_state(http_scope, config2.session_scope_key, mock_session2)
http_response_start: HTTPResponseStartEvent = {
"type": "http.response.start",
"status": random.randint(307, 308),
"headers": {},
}
await config2.before_send_handler(http_response_start, http_scope) # type: ignore
mock_session2.rollback.assert_called_once()
mock_session1.rollback.assert_not_called()
@pytest.mark.parametrize(
("exc", "status"),
[
(IntegrityError, HTTP_409_CONFLICT),
(ForeignKeyError, HTTP_409_CONFLICT),
(DuplicateKeyError, HTTP_409_CONFLICT),
(InvalidRequestError, HTTP_500_INTERNAL_SERVER_ERROR),
(NotFoundError, HTTP_404_NOT_FOUND),
],
)
def test_repository_exception_to_http_response(exc: type[RepositoryError], status: int) -> None:
"""Test default exception handler."""
config1 = SQLAlchemyAsyncConfig(connection_string="sqlite+aiosqlite://")
config2 = SQLAlchemyAsyncConfig(
connection_string="sqlite+aiosqlite://",
session_dependency_key="other_session",
session_scope_key="_sqlalchemy_state_2",
engine_dependency_key="other_engine",
)
plugin = SQLAlchemyInitPlugin(config=[config1, config2])
app = Litestar(route_handlers=[], plugins=[plugin])
request = RequestFactory(app=app, server="testserver").get("/wherever")
response = exception_to_http_response(request, exc())
assert app.exception_handlers.get(exc) is None
assert app.exception_handlers.get(RepositoryError) is not None
assert response.status_code == status
@pytest.mark.parametrize(
("exc", "status"),
[
(IntegrityError, HTTP_409_CONFLICT),
(ForeignKeyError, HTTP_409_CONFLICT),
(DuplicateKeyError, HTTP_409_CONFLICT),
(InvalidRequestError, HTTP_500_INTERNAL_SERVER_ERROR),
(NotFoundError, HTTP_404_NOT_FOUND),
],
)
def test_existing_repository_exception_to_http_response(exc: type[RepositoryError], status: int) -> None:
"""Test default exception handler."""
def handler(request: Request[Any, Any, Any], exc: RepositoryError) -> Response[Any]:
return Response(status_code=200, content="OK")
config1 = SQLAlchemyAsyncConfig(connection_string="sqlite+aiosqlite://")
config2 = SQLAlchemyAsyncConfig(
connection_string="sqlite+aiosqlite://",
session_dependency_key="other_session",
session_scope_key="_sqlalchemy_state_2",
engine_dependency_key="other_engine",
)
plugin = SQLAlchemyInitPlugin(config=[config1, config2])
app = Litestar(route_handlers=[], plugins=[plugin], exception_handlers={RepositoryError: handler})
request = RequestFactory(app=app, server="testserver").get("/wherever")
response = handler(request, exc())
assert app.exception_handlers.get(exc) is None
assert app.exception_handlers.get(RepositoryError) is not None
assert app.exception_handlers.get(RepositoryError) == handler
assert response.status_code == 200
@pytest.mark.parametrize(
("exc", "status"),
[
(IntegrityError, HTTP_409_CONFLICT),
(ForeignKeyError, HTTP_409_CONFLICT),
(DuplicateKeyError, HTTP_409_CONFLICT),
(InvalidRequestError, HTTP_500_INTERNAL_SERVER_ERROR),
(NotFoundError, HTTP_404_NOT_FOUND),
],
)
def test_repository_disabled_exception_to_http_response(exc: type[RepositoryError], status: int) -> None:
"""Test default exception handler."""
config1 = SQLAlchemyAsyncConfig(connection_string="sqlite+aiosqlite://", set_default_exception_handler=False)
config2 = SQLAlchemyAsyncConfig(
connection_string="sqlite+aiosqlite://",
session_dependency_key="other_session",
session_scope_key="_sqlalchemy_state_2",
engine_dependency_key="other_engine",
set_default_exception_handler=False,
)
plugin = SQLAlchemyInitPlugin(config=[config1, config2])
app = Litestar(route_handlers=[], plugins=[plugin])
assert app.exception_handlers.get(exc) is None
assert app.exception_handlers.get(RepositoryError) is None
test_common.py 0000664 0000000 0000000 00000013513 14763441450 0034764 0 ustar 00root root 0000000 0000000 python-advanced-alchemy-0.34.0/tests/unit/test_extensions/test_litestar/test_init_plugin from __future__ import annotations
import datetime
import uuid
from typing import TYPE_CHECKING
from unittest.mock import MagicMock, patch
import pytest
from litestar.datastructures import State
from sqlalchemy import create_engine
from advanced_alchemy.exceptions import ImproperConfigurationError
from advanced_alchemy.extensions.litestar._utils import _SCOPE_NAMESPACE # pyright: ignore[reportPrivateUsage]
from advanced_alchemy.extensions.litestar.plugins import SQLAlchemyAsyncConfig, SQLAlchemySyncConfig
from advanced_alchemy.extensions.litestar.plugins.init.config.common import SESSION_SCOPE_KEY
if TYPE_CHECKING:
from typing import Any
from litestar.types import Scope
from pytest import MonkeyPatch
@pytest.fixture(name="config_cls", params=[SQLAlchemySyncConfig, SQLAlchemyAsyncConfig])
def _config_cls(request: Any) -> type[SQLAlchemySyncConfig | SQLAlchemyAsyncConfig]:
"""Return SQLAlchemy config class."""
return request.param # type:ignore[no-any-return]
def test_raise_improperly_configured_exception(config_cls: type[SQLAlchemySyncConfig]) -> None:
"""Test raise ImproperlyConfiguredException if both engine and connection string are provided."""
with pytest.raises(ImproperConfigurationError):
config_cls(connection_string="sqlite://", engine_instance=create_engine("sqlite://"))
def test_engine_config_dict_with_no_provided_config(
config_cls: type[SQLAlchemySyncConfig],
) -> None:
"""Test engine_config_dict with no provided config."""
config = config_cls()
assert config.engine_config_dict.keys() == {"json_deserializer", "json_serializer"}
def test_session_config_dict_with_no_provided_config(
config_cls: type[SQLAlchemySyncConfig],
) -> None:
"""Test session_config_dict with no provided config."""
config = config_cls()
assert config.session_config_dict == {}
def test_config_create_engine_if_engine_instance_provided(
config_cls: type[SQLAlchemySyncConfig],
) -> None:
"""Test create_engine if engine instance provided."""
engine = create_engine("sqlite://")
config = config_cls(engine_instance=engine)
assert config.get_engine() == engine
def test_create_engine_if_no_engine_instance_or_connection_string_provided(
config_cls: type[SQLAlchemySyncConfig],
) -> None:
"""Test create_engine if no engine instance or connection string provided."""
config = config_cls()
with pytest.raises(ImproperConfigurationError):
config.get_engine()
def test_call_create_engine_callable_type_error_handling(
config_cls: type[SQLAlchemySyncConfig],
monkeypatch: MonkeyPatch,
) -> None:
"""If the dialect doesn't support JSON types, we get a ValueError.
This should be handled by removing the JSON serializer/deserializer kwargs.
"""
call_count = 0
def side_effect(*args: Any, **kwargs: Any) -> None:
nonlocal call_count
call_count += 1
if call_count == 1:
raise TypeError()
config = config_cls(connection_string="sqlite://")
create_engine_callable_mock = MagicMock(side_effect=side_effect)
monkeypatch.setattr(config, "create_engine_callable", create_engine_callable_mock)
config.get_engine()
assert create_engine_callable_mock.call_count == 2
first_call, second_call = create_engine_callable_mock.mock_calls
assert first_call.kwargs.keys() == {"json_deserializer", "json_serializer"}
assert second_call.kwargs.keys() == set()
def test_create_session_maker_if_session_maker_provided(
config_cls: type[SQLAlchemySyncConfig],
) -> None:
"""Test create_session_maker if session maker provided to config."""
session_maker = MagicMock()
config = config_cls(session_maker=session_maker)
assert config.create_session_maker() == session_maker
def test_create_session_maker_if_no_session_maker_or_bind_provided(
config_cls: type[SQLAlchemySyncConfig],
monkeypatch: MonkeyPatch,
) -> None:
"""Test create_session_maker if no session maker or bind provided to config."""
config = config_cls()
create_engine_mock = MagicMock(return_value=create_engine("sqlite://"))
monkeypatch.setattr(config, "get_engine", create_engine_mock)
assert config.session_maker is None
assert isinstance(config.create_session_maker(), config.session_maker_class)
create_engine_mock.assert_called_once()
def test_create_session_instance_if_session_not_in_scope_state(
config_cls: type[SQLAlchemySyncConfig],
) -> None:
"""Test provide_session if session not in scope state."""
with patch(
"advanced_alchemy.extensions.litestar._utils.get_aa_scope_state",
) as get_scope_state_mock:
get_scope_state_mock.return_value = None
config = config_cls()
state = State()
state[config.session_maker_app_state_key] = MagicMock()
scope: Scope = {} # type:ignore[assignment]
assert isinstance(config.provide_session(state, scope), MagicMock)
assert SESSION_SCOPE_KEY in scope[_SCOPE_NAMESPACE] # type: ignore[literal-required]
def test_app_state(config_cls: type[SQLAlchemySyncConfig], monkeypatch: MonkeyPatch) -> None:
"""Test app_state."""
config = config_cls(connection_string="sqlite://")
with (
patch.object(config, "create_session_maker") as create_session_maker_mock,
patch.object(config, "get_engine") as create_engine_mock,
):
assert config.create_app_state_items().keys() == {
config.engine_app_state_key,
config.session_maker_app_state_key,
}
create_session_maker_mock.assert_called_once()
create_engine_mock.assert_called_once()
def test_namespace_resolution() -> None:
# https://github.com/litestar-org/advanced-alchemy/issues/256
from litestar import Litestar, get
@get("/")
async def handler(param: datetime.datetime, other_param: uuid.UUID) -> None:
return None
Litestar([handler])
test_engine.py 0000664 0000000 0000000 00000000417 14763441450 0034740 0 ustar 00root root 0000000 0000000 python-advanced-alchemy-0.34.0/tests/unit/test_extensions/test_litestar/test_init_plugin from __future__ import annotations
from advanced_alchemy.extensions.litestar.plugins.init.config.engine import serializer
def test_serializer_returns_string() -> None:
"""Test that serializer returns a string."""
assert isinstance(serializer({"a": "b"}), str)
test_sync.py 0000664 0000000 0000000 00000045742 14763441450 0034461 0 ustar 00root root 0000000 0000000 python-advanced-alchemy-0.34.0/tests/unit/test_extensions/test_litestar/test_init_plugin from __future__ import annotations
import random
from typing import TYPE_CHECKING
from unittest.mock import MagicMock, patch
import pytest
from asgi_lifespan import LifespanManager
from litestar import Litestar, Request, Response, get
from litestar.status_codes import (
HTTP_404_NOT_FOUND,
HTTP_409_CONFLICT,
HTTP_500_INTERNAL_SERVER_ERROR,
)
from litestar.testing import (
RequestFactory,
create_test_client, # type: ignore
)
from litestar.types.asgi_types import HTTPResponseStartEvent
from pytest import MonkeyPatch
from sqlalchemy.ext.asyncio import AsyncSession
from sqlalchemy.orm import Session
from advanced_alchemy.exceptions import (
DuplicateKeyError,
ForeignKeyError,
ImproperConfigurationError,
IntegrityError,
InvalidRequestError,
NotFoundError,
RepositoryError,
)
from advanced_alchemy.extensions.litestar._utils import set_aa_scope_state
from advanced_alchemy.extensions.litestar.exception_handler import exception_to_http_response
from advanced_alchemy.extensions.litestar.plugins import (
SQLAlchemyAsyncConfig,
SQLAlchemyInitPlugin,
SQLAlchemySyncConfig,
)
from advanced_alchemy.extensions.litestar.plugins.init.config.sync import (
autocommit_before_send_handler,
autocommit_handler_maker,
)
if TYPE_CHECKING:
from typing import Any, Callable
from litestar.types import Scope
def test_default_before_send_handler() -> None:
"""Test default_before_send_handler."""
captured_scope_state: dict[str, Any] | None = None
config = SQLAlchemySyncConfig(connection_string="sqlite://")
plugin = SQLAlchemyInitPlugin(config=config)
@get()
def test_handler(db_session: Session, scope: Scope) -> None:
nonlocal captured_scope_state
captured_scope_state = scope["state"]
assert db_session is captured_scope_state[config.session_dependency_key]
with create_test_client(route_handlers=[test_handler], plugins=[plugin]) as client:
client.get("/")
assert captured_scope_state is not None
assert config.session_dependency_key not in captured_scope_state
def test_default_before_send_handle_multi() -> None:
"""Test default_before_send_handler."""
captured_scope_state: dict[str, Any] | None = None
config1 = SQLAlchemySyncConfig(connection_string="sqlite://")
config2 = SQLAlchemySyncConfig(
connection_string="sqlite://",
session_dependency_key="other_session",
session_scope_key="_sqlalchemy_state_2",
engine_dependency_key="other_engine",
)
plugin = SQLAlchemyInitPlugin(config=[config1, config2])
@get()
def test_handler(db_session: Session, scope: Scope) -> None:
nonlocal captured_scope_state
captured_scope_state = scope["state"]
assert db_session is captured_scope_state[config1.session_dependency_key]
with create_test_client(route_handlers=[test_handler], plugins=[plugin]) as client:
client.get("/")
assert captured_scope_state is not None
assert config1.session_dependency_key not in captured_scope_state
async def test_create_all_default(monkeypatch: MonkeyPatch) -> None:
"""Test default_before_send_handler."""
config = SQLAlchemySyncConfig(connection_string="sqlite+aiosqlite://")
plugin = SQLAlchemyInitPlugin(config=config)
app = Litestar(route_handlers=[], plugins=[plugin])
with patch.object(
config,
"create_all_metadata",
) as create_all_metadata_mock:
async with LifespanManager(app) as _client: # type: ignore[arg-type] # pyright: ignore[reportArgumentType]
create_all_metadata_mock.assert_not_called()
async def test_create_all(monkeypatch: MonkeyPatch) -> None:
"""Test default_before_send_handler."""
config = SQLAlchemySyncConfig(connection_string="sqlite+aiosqlite://", create_all=True)
plugin = SQLAlchemyInitPlugin(config=config)
app = Litestar(route_handlers=[], plugins=[plugin])
with patch.object(
config,
"create_all_metadata",
) as create_all_metadata_mock:
async with LifespanManager(app) as _client: # type: ignore[arg-type] # pyright: ignore[reportArgumentType]
create_all_metadata_mock.assert_called_once()
def test_before_send_handler_success_response(create_scope: Callable[..., Scope]) -> None:
"""Test that the session is committed given a success response."""
config = SQLAlchemySyncConfig(connection_string="sqlite://", before_send_handler=autocommit_before_send_handler)
app = Litestar(route_handlers=[], plugins=[SQLAlchemyInitPlugin(config)])
mock_session = MagicMock(spec=Session)
http_scope = create_scope(app=app)
set_aa_scope_state(http_scope, config.session_scope_key, mock_session)
http_response_start: HTTPResponseStartEvent = {
"type": "http.response.start",
"status": random.randint(200, 299),
"headers": {},
}
autocommit_before_send_handler(http_response_start, http_scope)
mock_session.commit.assert_called_once()
def test_before_send_handler_success_response_autocommit(create_scope: Callable[..., Scope]) -> None:
"""Test that the session is committed given a success response."""
config = SQLAlchemySyncConfig(connection_string="sqlite://", before_send_handler="autocommit")
app = Litestar(route_handlers=[], plugins=[SQLAlchemyInitPlugin(config)])
mock_session = MagicMock(spec=Session)
http_scope = create_scope(app=app)
set_aa_scope_state(http_scope, config.session_scope_key, mock_session)
http_response_start: HTTPResponseStartEvent = {
"type": "http.response.start",
"status": random.randint(200, 299),
"headers": {},
}
autocommit_before_send_handler(http_response_start, http_scope)
mock_session.commit.assert_called_once()
def test_before_send_handler_error_response(create_scope: Callable[..., Scope]) -> None:
"""Test that the session is committed given a success response."""
config = SQLAlchemySyncConfig(connection_string="sqlite://", before_send_handler=autocommit_before_send_handler)
app = Litestar(route_handlers=[], plugins=[SQLAlchemyInitPlugin(config)])
mock_session = MagicMock(spec=Session)
http_scope = create_scope(app=app)
set_aa_scope_state(http_scope, config.session_scope_key, mock_session)
http_response_start: HTTPResponseStartEvent = {
"type": "http.response.start",
"status": random.randint(300, 599),
"headers": {},
}
autocommit_before_send_handler(http_response_start, http_scope)
mock_session.rollback.assert_called_once()
def test_autocommit_handler_maker_redirect_response(create_scope: Callable[..., Scope]) -> None:
"""Test that the handler created by the handler maker commits on redirect"""
autocommit_redirect_handler = autocommit_handler_maker(commit_on_redirect=True)
config = SQLAlchemySyncConfig(
connection_string="sqlite://",
before_send_handler=autocommit_redirect_handler,
)
app = Litestar(route_handlers=[], plugins=[SQLAlchemyInitPlugin(config)])
mock_session = MagicMock(spec=Session)
http_scope = create_scope(app=app)
set_aa_scope_state(http_scope, config.session_scope_key, mock_session)
http_response_start: HTTPResponseStartEvent = {
"type": "http.response.start",
"status": random.randint(300, 399),
"headers": {},
}
autocommit_redirect_handler(http_response_start, http_scope)
mock_session.commit.assert_called_once()
def test_autocommit_handler_maker_commit_statuses(create_scope: Callable[..., Scope]) -> None:
"""Test that the handler created by the handler maker commits on explicit statuses"""
custom_autocommit_handler = autocommit_handler_maker(extra_commit_statuses={302, 303})
config = SQLAlchemySyncConfig(
connection_string="sqlite://",
before_send_handler=custom_autocommit_handler,
)
app = Litestar(route_handlers=[], plugins=[SQLAlchemyInitPlugin(config)])
mock_session = MagicMock(spec=Session)
http_scope = create_scope(app=app)
set_aa_scope_state(http_scope, config.session_scope_key, mock_session)
http_response_start: HTTPResponseStartEvent = {
"type": "http.response.start",
"status": random.randint(302, 303),
"headers": {},
}
custom_autocommit_handler(http_response_start, http_scope)
mock_session.commit.assert_called_once()
def test_autocommit_handler_maker_rollback_statuses(create_scope: Callable[..., Scope]) -> None:
"""Test that the handler created by the handler maker rolls back on explicit statuses"""
custom_autocommit_handler = autocommit_handler_maker(commit_on_redirect=True, extra_rollback_statuses={307, 308})
config = SQLAlchemySyncConfig(
connection_string="sqlite://",
before_send_handler=custom_autocommit_handler,
)
app = Litestar(route_handlers=[], plugins=[SQLAlchemyInitPlugin(config)])
mock_session = MagicMock(spec=Session)
http_scope = create_scope(app=app)
set_aa_scope_state(http_scope, config.session_scope_key, mock_session)
http_response_start: HTTPResponseStartEvent = {
"type": "http.response.start",
"status": random.randint(307, 308),
"headers": {},
}
custom_autocommit_handler(http_response_start, http_scope)
mock_session.rollback.assert_called_once()
def test_autocommit_handler_maker_rollback_statuses_multi(create_scope: Callable[..., Scope]) -> None:
"""Test that the handler created by the handler maker rolls back on explicit statuses"""
custom_autocommit_handler = autocommit_handler_maker(
session_scope_key="_sqlalchemy_state_2",
commit_on_redirect=True,
extra_rollback_statuses={307, 308},
)
config1 = SQLAlchemySyncConfig(
connection_string="sqlite://",
)
config2 = SQLAlchemySyncConfig(
connection_string="sqlite://",
before_send_handler=custom_autocommit_handler,
session_dependency_key="other_session",
engine_dependency_key="other_engine",
session_scope_key="_sqlalchemy_state_2",
)
app = Litestar(route_handlers=[], plugins=[SQLAlchemyInitPlugin(config=[config1, config2])])
mock_session1 = MagicMock(spec=Session)
mock_session2 = MagicMock(spec=Session)
http_scope = create_scope(app=app)
set_aa_scope_state(http_scope, config1.session_scope_key, mock_session1)
set_aa_scope_state(http_scope, config2.session_scope_key, mock_session2)
http_response_start: HTTPResponseStartEvent = {
"type": "http.response.start",
"status": random.randint(307, 308),
"headers": {},
}
custom_autocommit_handler(http_response_start, http_scope)
mock_session2.rollback.assert_called_once()
mock_session1.rollback.assert_not_called()
def test_autocommit_handler_maker_rollback_statuses_multi_bad_config(create_scope: Callable[..., Scope]) -> None:
"""Test that the handler created by the handler maker rolls back on explicit statuses"""
with pytest.raises(ImproperConfigurationError):
custom_autocommit_handler = autocommit_handler_maker(
session_scope_key="_sqlalchemy_state_2",
commit_on_redirect=True,
extra_rollback_statuses={307, 308},
)
config1 = SQLAlchemySyncConfig(
connection_string="sqlite://",
)
config2 = SQLAlchemySyncConfig(
connection_string="sqlite://",
before_send_handler=custom_autocommit_handler,
session_dependency_key="other_session",
session_scope_key="_sqlalchemy_state_2",
)
app = Litestar(route_handlers=[], plugins=[SQLAlchemyInitPlugin(config=[config1, config2])])
mock_session1 = MagicMock(spec=Session)
mock_session2 = MagicMock(spec=Session)
http_scope = create_scope(app=app)
set_aa_scope_state(http_scope, config1.session_scope_key, mock_session1)
set_aa_scope_state(http_scope, config2.session_scope_key, mock_session2)
http_response_start: HTTPResponseStartEvent = {
"type": "http.response.start",
"status": random.randint(307, 308),
"headers": {},
}
custom_autocommit_handler(http_response_start, http_scope)
mock_session2.rollback.assert_called_once()
mock_session1.rollback.assert_not_called()
def test_autocommit_handler_maker_multi(create_scope: Callable[..., Scope]) -> None:
"""Test that the handler created by the handler maker rolls back on explicit statuses"""
config1 = SQLAlchemySyncConfig(
connection_string="sqlite://",
before_send_handler="autocommit",
)
config2 = SQLAlchemySyncConfig(
connection_string="sqlite://",
before_send_handler="autocommit",
session_dependency_key="other_session",
engine_dependency_key="other_engine",
)
app = Litestar(route_handlers=[], plugins=[SQLAlchemyInitPlugin(config=[config1, config2])])
mock_session1 = MagicMock(spec=Session)
mock_session2 = MagicMock(spec=Session)
http_scope = create_scope(app=app)
set_aa_scope_state(http_scope, config1.session_scope_key, mock_session1)
set_aa_scope_state(http_scope, config2.session_scope_key, mock_session2)
http_response_start: HTTPResponseStartEvent = {
"type": "http.response.start",
"status": random.randint(307, 308),
"headers": {},
}
config2.before_send_handler(http_response_start, http_scope) # type: ignore
mock_session2.rollback.assert_called_once()
mock_session1.rollback.assert_not_called()
def test_autocommit_handler_maker_multi_async_and_sync(create_scope: Callable[..., Scope]) -> None:
"""Test that the handler created by the handler maker rolls back on explicit statuses"""
config1 = SQLAlchemySyncConfig(
connection_string="sqlite://",
before_send_handler="autocommit",
)
config2 = SQLAlchemySyncConfig(
connection_string="sqlite://",
before_send_handler="autocommit",
session_dependency_key="other_session",
engine_dependency_key="other_engine",
)
config3 = SQLAlchemyAsyncConfig(
connection_string="sqlite+aiosqlite://",
before_send_handler="autocommit",
session_dependency_key="the_session",
engine_dependency_key="the_engine",
)
config4 = SQLAlchemyAsyncConfig(
connection_string="sqlite+aiosqlite://",
before_send_handler="autocommit",
session_dependency_key="other_other_session",
engine_dependency_key="other_other_engine",
)
app = Litestar(route_handlers=[], plugins=[SQLAlchemyInitPlugin(config=[config1, config2, config3, config4])])
mock_session1 = MagicMock(spec=Session)
mock_session2 = MagicMock(spec=Session)
mock_session3 = MagicMock(spec=AsyncSession)
mock_session4 = MagicMock(spec=AsyncSession)
http_scope = create_scope(app=app)
set_aa_scope_state(http_scope, config1.session_scope_key, mock_session1)
set_aa_scope_state(http_scope, config2.session_scope_key, mock_session2)
set_aa_scope_state(http_scope, config3.session_scope_key, mock_session3)
set_aa_scope_state(http_scope, config4.session_scope_key, mock_session4)
http_response_start: HTTPResponseStartEvent = {
"type": "http.response.start",
"status": random.randint(307, 308),
"headers": {},
}
config2.before_send_handler(http_response_start, http_scope) # type: ignore
mock_session2.rollback.assert_called_once()
mock_session1.rollback.assert_not_called()
mock_session3.rollback.assert_not_called()
mock_session4.rollback.assert_not_called()
@pytest.mark.parametrize(
("exc", "status"),
[
(IntegrityError, HTTP_409_CONFLICT),
(ForeignKeyError, HTTP_409_CONFLICT),
(DuplicateKeyError, HTTP_409_CONFLICT),
(InvalidRequestError, HTTP_500_INTERNAL_SERVER_ERROR),
(NotFoundError, HTTP_404_NOT_FOUND),
],
)
def test_repository_exception_to_http_response(exc: type[RepositoryError], status: int) -> None:
"""Test default exception handler."""
config1 = SQLAlchemyAsyncConfig(connection_string="sqlite+aiosqlite://")
config2 = SQLAlchemyAsyncConfig(
connection_string="sqlite+aiosqlite://",
session_dependency_key="other_session",
session_scope_key="_sqlalchemy_state_2",
engine_dependency_key="other_engine",
)
plugin = SQLAlchemyInitPlugin(config=[config1, config2])
app = Litestar(route_handlers=[], plugins=[plugin])
request = RequestFactory(app=app, server="testserver").get("/wherever")
response = exception_to_http_response(request, exc())
assert app.exception_handlers.get(exc) is None
assert app.exception_handlers.get(RepositoryError) is not None
assert response.status_code == status
@pytest.mark.parametrize(
("exc", "status"),
[
(IntegrityError, HTTP_409_CONFLICT),
(ForeignKeyError, HTTP_409_CONFLICT),
(DuplicateKeyError, HTTP_409_CONFLICT),
(InvalidRequestError, HTTP_500_INTERNAL_SERVER_ERROR),
(NotFoundError, HTTP_404_NOT_FOUND),
],
)
def test_existing_repository_exception_to_http_response(exc: type[RepositoryError], status: int) -> None:
"""Test default exception handler."""
def handler(request: Request[Any, Any, Any], exc: RepositoryError) -> Response[Any]:
return Response(status_code=200, content="OK")
config1 = SQLAlchemyAsyncConfig(connection_string="sqlite+aiosqlite://")
config2 = SQLAlchemyAsyncConfig(
connection_string="sqlite+aiosqlite://",
session_dependency_key="other_session",
session_scope_key="_sqlalchemy_state_2",
engine_dependency_key="other_engine",
)
plugin = SQLAlchemyInitPlugin(config=[config1, config2])
app = Litestar(route_handlers=[], plugins=[plugin], exception_handlers={RepositoryError: handler})
request = RequestFactory(app=app, server="testserver").get("/wherever")
response = handler(request, exc())
assert app.exception_handlers.get(exc) is None
assert app.exception_handlers.get(RepositoryError) is not None
assert app.exception_handlers.get(RepositoryError) == handler
assert response.status_code == 200
@pytest.mark.parametrize(
("exc", "status"),
[
(IntegrityError, HTTP_409_CONFLICT),
(ForeignKeyError, HTTP_409_CONFLICT),
(DuplicateKeyError, HTTP_409_CONFLICT),
(InvalidRequestError, HTTP_500_INTERNAL_SERVER_ERROR),
(NotFoundError, HTTP_404_NOT_FOUND),
],
)
def test_repository_disabled_exception_to_http_response(exc: type[RepositoryError], status: int) -> None:
"""Test default exception handler."""
config1 = SQLAlchemySyncConfig(connection_string="sqlite://", set_default_exception_handler=False)
config2 = SQLAlchemySyncConfig(
connection_string="sqlite://",
session_dependency_key="other_session",
session_scope_key="_sqlalchemy_state_2",
engine_dependency_key="other_engine",
set_default_exception_handler=False,
)
plugin = SQLAlchemyInitPlugin(config=[config1, config2])
app = Litestar(route_handlers=[], plugins=[plugin])
assert app.exception_handlers.get(exc) is None
assert app.exception_handlers.get(RepositoryError) is None
python-advanced-alchemy-0.34.0/tests/unit/test_extensions/test_litestar/test_litestar_re_exports.py 0000664 0000000 0000000 00000000652 14763441450 0034274 0 ustar 00root root 0000000 0000000 # ruff: noqa: F401
import pytest
def test_repository_re_exports() -> None:
with pytest.warns(DeprecationWarning):
from litestar.contrib.sqlalchemy import types # type: ignore
from litestar.contrib.sqlalchemy.repository import (
SQLAlchemyAsyncRepository, # type: ignore
SQLAlchemySyncRepository, # type: ignore
wrap_sqlalchemy_exception, # type: ignore
)
python-advanced-alchemy-0.34.0/tests/unit/test_extensions/test_litestar/test_providers.py 0000664 0000000 0000000 00000046344 14763441450 0032220 0 ustar 00root root 0000000 0000000 """Tests for the DI module."""
from __future__ import annotations
import inspect
import uuid
from datetime import datetime, timedelta
from typing import TYPE_CHECKING, Any, cast
from unittest.mock import MagicMock, patch
from litestar.di import Provide
from sqlalchemy import FromClause, String, select
from sqlalchemy.orm import DeclarativeBase, Mapped, Mapper, mapped_column
from advanced_alchemy.extensions.litestar.providers import (
DEPENDENCY_DEFAULTS,
DependencyCache,
DependencyDefaults,
FilterConfig,
SingletonMeta,
_create_filter_aggregate_function, # pyright: ignore[reportPrivateUsage]
_create_statement_filters, # pyright: ignore[reportPrivateUsage]
create_filter_dependencies,
create_service_dependencies,
create_service_provider,
dep_cache,
)
from advanced_alchemy.filters import (
BeforeAfter,
CollectionFilter,
LimitOffset,
OrderBy,
SearchFilter,
)
from advanced_alchemy.repository import SQLAlchemyAsyncRepository, SQLAlchemySyncRepository
from advanced_alchemy.service import (
SQLAlchemyAsyncRepositoryService,
SQLAlchemySyncRepositoryService,
)
from advanced_alchemy.types.identity import BigIntIdentity
from tests.helpers import anext_
class Base(DeclarativeBase):
"""Base class for models."""
if TYPE_CHECKING:
__name__: str # type: ignore
__table__: FromClause # type: ignore
__mapper__: Mapper[Any] # type: ignore
id: Mapped[int] = mapped_column(BigIntIdentity, primary_key=True)
def to_dict(self, exclude: set[str] | None = None) -> dict[str, Any]:
"""Convert model to dictionary.
Returns:
Dict[str, Any]: A dict representation of the model
"""
exclude = {"sa_orm_sentinel", "_sentinel"}.union(self._sa_instance_state.unloaded).union(exclude or []) # type: ignore[attr-defined]
return {field: getattr(self, field) for field in self.__mapper__.columns.keys() if field not in exclude}
class DITestModel(Base):
"""Test model for use in tests."""
__tablename__ = "di_test_model"
name: Mapped[str] = mapped_column(String)
class TestSyncService(SQLAlchemySyncRepositoryService[DITestModel]):
"""Test sync service class."""
class Repo(SQLAlchemySyncRepository[DITestModel]):
"""Test repo class."""
model_type = DITestModel
repository_type = Repo
class TestAsyncService(SQLAlchemyAsyncRepositoryService[DITestModel]):
"""Test async service class."""
class Repo(SQLAlchemyAsyncRepository[DITestModel]):
"""Test repo class."""
model_type = DITestModel
repository_type = Repo
def test_singleton_pattern() -> None:
"""Test that the SingletonMeta creates singletons."""
class TestClass(metaclass=SingletonMeta):
"""Test class using SingletonMeta."""
def __init__(self) -> None:
self.value = uuid.uuid4().hex
# Instances should be the same
instance1 = TestClass()
instance2 = TestClass()
assert instance1 is instance2
assert instance1.value == instance2.value
def test_multiple_classes() -> None:
"""Test that different classes using SingletonMeta have different instances."""
class TestClass1(metaclass=SingletonMeta):
"""First test class using SingletonMeta."""
def __init__(self) -> None:
self.value = 1
class TestClass2(metaclass=SingletonMeta):
"""Second test class using SingletonMeta."""
def __init__(self) -> None:
self.value = 2
instance1 = TestClass1()
instance2 = TestClass2()
assert instance1 is not instance2 # type: ignore
assert instance1.value != instance2.value
def test_add_get_dependencies() -> None:
"""Test adding and retrieving dependencies from cache."""
# Create a new instance to avoid test interference
with patch.dict(SingletonMeta._instances, {}, clear=True): # pyright: ignore[reportPrivateUsage]
cache = DependencyCache()
# Test with string key
deps1 = {"service": Provide(lambda: "service")}
cache.add_dependencies("key1", deps1)
assert cache.get_dependencies("key1") == deps1
# Test with integer key
deps2 = {"filter": Provide(lambda: "filter")}
cache.add_dependencies(123, deps2)
assert cache.get_dependencies(123) == deps2
# Test retrieving non-existent key
assert cache.get_dependencies("nonexistent") is None
def test_global_instance() -> None:
"""Test that the global dep_cache instance is a singleton."""
# Do not clear SingletonMeta._instances, so that dep_cache remains the global singleton
new_cache = DependencyCache()
assert new_cache is dep_cache
def test_create_sync_service_provider() -> None:
"""Test creating a sync service provider."""
provider = create_service_provider(TestSyncService)
# Ensure the provider is callable
assert callable(provider)
svc = next(provider(db_session=MagicMock()))
assert isinstance(svc, TestSyncService)
async def test_create_async_service_provider() -> None:
"""Test creating an async service provider."""
provider = create_service_provider(TestAsyncService)
# Ensure the provider is callable
assert callable(provider)
svc = await anext_(provider(db_session=MagicMock()))
assert isinstance(svc, TestAsyncService)
def test_create_async_service_dependencies() -> None:
"""Test creating async service dependencies."""
with patch("advanced_alchemy.extensions.litestar.providers.create_service_provider") as mock_create_provider:
mock_create_provider.return_value = lambda: "async_service"
deps = create_service_dependencies(
TestAsyncService,
key="service",
statement=select(DITestModel),
config=MagicMock(),
)
assert "service" in deps
assert isinstance(deps["service"], Provide)
# Check provider function
assert deps["service"].dependency() == "async_service"
# Verify create_service_provider was called correctly
mock_create_provider.assert_called_once()
def test_create_sync_service_dependencies() -> None:
"""Test creating sync service dependencies."""
with patch("advanced_alchemy.extensions.litestar.providers.create_service_provider") as mock_create_provider:
mock_create_provider.return_value = lambda: "sync_service"
deps = create_service_dependencies(
TestSyncService,
key="service",
statement=select(DITestModel),
config=MagicMock(),
)
assert "service" in deps
assert isinstance(deps["service"], Provide)
# Check provider function
assert deps["service"].dependency() == "sync_service"
# Verify create_service_provider was called correctly
mock_create_provider.assert_called_once()
# Verify sync_to_thread is False for sync services
assert deps["service"].sync_to_thread is False
def test_create_service_dependencies_with_filters() -> None:
"""Test creating service dependencies with filters."""
with patch("advanced_alchemy.extensions.litestar.providers.create_service_provider") as mock_create_provider:
with patch("advanced_alchemy.extensions.litestar.providers.create_filter_dependencies") as mock_create_filters:
mock_create_provider.return_value = lambda: "service"
mock_create_filters.return_value = {"filter1": Provide(lambda: "filter1")}
deps = create_service_dependencies(
TestSyncService,
key="service",
filters={"id_filter": int},
)
assert "service" in deps
assert "filter1" in deps
# Verify create_filter_dependencies was called
mock_create_filters.assert_called_once_with({"id_filter": int}, DEPENDENCY_DEFAULTS)
def test_create_filter_dependencies_cache_hit() -> None:
"""Test create_filter_dependencies with cache hit."""
# Setup cache with a pre-existing entry
mock_deps = {"test": Provide(lambda: "test")}
with patch.object(dep_cache, "get_dependencies", return_value=mock_deps) as mock_get:
with patch.object(dep_cache, "add_dependencies") as mock_add:
config = cast(FilterConfig, {"key1": 1, "key2": 2})
deps = create_filter_dependencies(config)
# Verify cache was checked
mock_get.assert_called_once()
# Verify result is from cache
assert deps == mock_deps
# Verify cache wasn't updated
mock_add.assert_not_called()
def test_create_filter_dependencies_cache_miss() -> None:
"""Test create_filter_dependencies with cache miss."""
# Setup cache to return None (cache miss)
mock_deps = {"test": Provide(lambda: "test")}
with patch.object(dep_cache, "get_dependencies", return_value=None) as mock_get:
with patch.object(dep_cache, "add_dependencies") as mock_add:
with patch(
"advanced_alchemy.extensions.litestar.providers._create_statement_filters", return_value=mock_deps
) as mock_create:
config = cast(FilterConfig, {"key1": 1, "key2": 2})
deps = create_filter_dependencies(config)
# Verify cache was checked
mock_get.assert_called_once()
# Verify _create_statement_filters was called
mock_create.assert_called_once_with(config, DEPENDENCY_DEFAULTS)
# Verify cache was updated
mock_add.assert_called_once()
# Verify return value
assert deps == mock_deps
def test_id_filter() -> None:
"""Test creating ID filter dependency."""
config = cast(FilterConfig, {"id_filter": int})
deps = _create_statement_filters(config)
assert "id_filter" in deps
assert "filters" in deps
# Test the provider function
provider_func = deps["id_filter"].dependency
f = provider_func(ids=["1", "2", "3"])
assert isinstance(f, CollectionFilter)
assert f.field_name == "id"
assert f.values is not None # type: ignore
assert f.values == ["1", "2", "3"] # type: ignore
def test_created_at_filter() -> None:
"""Test creating created_at filter dependency."""
config = cast(FilterConfig, {"created_at": "created_at"})
deps = _create_statement_filters(config)
assert "created_filter" in deps
assert "filters" in deps
# Test the provider function
provider_func = deps["created_filter"].dependency
before = datetime.now()
later = datetime.now() + timedelta(days=1)
f = provider_func(before=before, after=later)
assert isinstance(f, BeforeAfter)
assert f.field_name == "created_at"
assert f.before == before
assert f.after == later
def test_updated_at_filter() -> None:
"""Test creating updated_at filter dependency."""
config = cast(FilterConfig, {"updated_at": "updated_at"})
deps = _create_statement_filters(config)
assert "updated_filter" in deps
assert "filters" in deps
# Test the provider function
provider_func = deps["updated_filter"].dependency
f = provider_func(before=datetime.now(), after=datetime.now())
assert isinstance(f, BeforeAfter)
assert f.field_name == "updated_at"
def test_search_filter() -> None:
"""Test creating search filter dependency."""
config = cast(FilterConfig, {"search": "name", "search_ignore_case": True})
deps = _create_statement_filters(config)
assert "search_filter" in deps
assert "filters" in deps
# Test the provider function
provider_func = deps["search_filter"].dependency
f = provider_func(search_string="test", ignore_case=True)
assert isinstance(f, SearchFilter)
assert f.field_name == "name" or f.field_name == {"name"}
assert f.value == "test"
assert f.ignore_case is True
def test_limit_offset_filter() -> None:
"""Test creating limit_offset filter dependency."""
config = cast(FilterConfig, {"pagination_type": "limit_offset", "default_limit": 10, "max_limit": 100})
deps = _create_statement_filters(config)
assert "limit_offset" in deps
assert "filters" in deps
# Test the provider function
provider_func = deps["limit_offset"].dependency
f = provider_func(current_page=2, page_size=5)
assert isinstance(f, LimitOffset)
assert f.limit == 5
assert f.offset == 5
def test_order_by_filter() -> None:
"""Test creating order_by filter dependency."""
config = cast(FilterConfig, {"sort_field": "name"})
deps = _create_statement_filters(config)
assert "order_by" in deps
assert "filters" in deps
# Test the provider function
provider_func = deps["order_by"].dependency
f = provider_func(field_name="name", sort_order="desc")
assert isinstance(f, OrderBy)
assert f.field_name == "name"
assert f.sort_order == "desc"
def test_custom_dependency_defaults() -> None:
"""Test using custom dependency defaults."""
class CustomDefaults(DependencyDefaults):
"""Custom dependency defaults."""
LIMIT_OFFSET_DEPENDENCY_KEY = "page"
ID_FILTER_DEPENDENCY_KEY = "ids"
DEFAULT_PAGINATION_SIZE = 100
custom_defaults = CustomDefaults()
config = cast(FilterConfig, {"id_filter": int, "id_field": "custom_id", "pagination_type": "limit_offset"})
deps = _create_statement_filters(config, custom_defaults)
assert "ids" in deps
assert "page" in deps
assert "filters" in deps
ids_func = deps["ids"].dependency
f = ids_func(ids=["1", "2", "3"])
assert isinstance(f, CollectionFilter) # type: ignore
assert f.field_name == "custom_id"
assert f.values is not None # type: ignore
assert f.values == ["1", "2", "3"] # type: ignore
page_func = deps["page"].dependency
f: LimitOffset = page_func(current_page=2, page_size=5) # type: ignore
assert isinstance(f, LimitOffset)
assert f.limit == 5
assert f.offset == 5
def test_id_filter_aggregation() -> None:
"""Test aggregation with ID filter."""
config = cast(FilterConfig, {"id_filter": str})
aggregate_func = _create_filter_aggregate_function(config)
# Check signature
sig = inspect.signature(aggregate_func)
assert "id_filter" in sig.parameters
# Simulate calling with filter
mock_filter = MagicMock(spec=CollectionFilter)
result = aggregate_func(id_filter=mock_filter)
assert isinstance(result, list)
assert mock_filter in result
def test_created_at_filter_aggregation() -> None:
"""Test aggregation with created_at filter."""
config = cast(FilterConfig, {"created_at": "created_at"})
aggregate_func = _create_filter_aggregate_function(config)
# Check signature
sig = inspect.signature(aggregate_func)
assert "created_filter" in sig.parameters
# Simulate calling with filter
mock_filter = MagicMock(spec=BeforeAfter)
result = aggregate_func(created_filter=mock_filter)
assert isinstance(result, list)
assert mock_filter in result
def test_updated_at_filter_aggregation() -> None:
"""Test aggregation with updated_at filter."""
config = cast(FilterConfig, {"updated_at": "updated_at"})
aggregate_func = _create_filter_aggregate_function(config)
# Check signature
sig = inspect.signature(aggregate_func)
assert "updated_filter" in sig.parameters
# Simulate calling with filter
mock_filter = MagicMock(spec=BeforeAfter)
result = aggregate_func(updated_filter=mock_filter)
assert isinstance(result, list)
assert mock_filter in result
def test_search_filter_aggregation() -> None:
"""Test aggregation with search filter."""
config = cast(FilterConfig, {"search": ["name"]})
aggregate_func = _create_filter_aggregate_function(config)
# Check signature
sig = inspect.signature(aggregate_func)
assert "search_filter" in sig.parameters
# Mock search filter with valid attributes
mock_filter = MagicMock(spec=SearchFilter)
mock_filter.field_name = "name"
mock_filter.value = "test"
result = aggregate_func(search_filter=mock_filter)
assert isinstance(result, list)
assert mock_filter in result
# Test with invalid search filter (None value)
mock_filter.value = None
result = aggregate_func(search_filter=mock_filter)
assert mock_filter not in result
def test_limit_offset_filter_aggregation() -> None:
"""Test aggregation with limit_offset filter."""
config = cast(FilterConfig, {"pagination_type": "limit_offset"})
aggregate_func = _create_filter_aggregate_function(config)
# Check signature
sig = inspect.signature(aggregate_func)
assert "limit_offset" in sig.parameters
# Simulate calling with filter
mock_filter = MagicMock(spec=LimitOffset)
result = aggregate_func(limit_offset=mock_filter)
assert isinstance(result, list)
assert mock_filter in result
def test_order_by_filter_aggregation() -> None:
"""Test aggregation with order_by filter."""
config = cast(FilterConfig, {"sort_field": "name"})
aggregate_func = _create_filter_aggregate_function(config)
# Check signature
sig = inspect.signature(aggregate_func)
assert "order_by" in sig.parameters
# Mock order_by filter with valid field_name
mock_filter = MagicMock(spec=OrderBy)
mock_filter.field_name = "name"
result = aggregate_func(order_by=mock_filter)
assert isinstance(result, list)
assert mock_filter in result
# Test with invalid order_by filter (None field_name)
mock_filter.field_name = None
result = aggregate_func(order_by=mock_filter)
assert mock_filter not in result
def test_multiple_filters_aggregation() -> None:
"""Test aggregation with multiple filters."""
config = cast(
FilterConfig,
{
"id_filter": int,
"created_at": True,
"updated_at": True,
"search": "name",
"pagination_type": "limit_offset",
"sort_field": "name",
},
)
aggregate_func = _create_filter_aggregate_function(config)
# Check signature has all parameters
sig = inspect.signature(aggregate_func)
assert "id_filter" in sig.parameters
assert "created_filter" in sig.parameters
assert "updated_filter" in sig.parameters
assert "search_filter" in sig.parameters
assert "limit_offset" in sig.parameters
assert "order_by" in sig.parameters
# Simulate calling with multiple filters
mock_id_filter = MagicMock(spec=CollectionFilter)
mock_created_filter = MagicMock(spec=BeforeAfter)
mock_updated_filter = MagicMock(spec=BeforeAfter)
mock_search_filter = MagicMock(spec=SearchFilter)
mock_search_filter.field_name = "name"
mock_search_filter.value = "test"
mock_limit_offset = MagicMock(spec=LimitOffset)
mock_order_by = MagicMock(spec=OrderBy)
mock_order_by.field_name = "name"
result = aggregate_func(
id_filter=mock_id_filter,
created_filter=mock_created_filter,
updated_filter=mock_updated_filter,
search_filter=mock_search_filter,
limit_offset=mock_limit_offset,
order_by=mock_order_by,
)
# Verify all filters are included
assert len(result) == 6
assert mock_id_filter in result
assert mock_created_filter in result
assert mock_updated_filter in result
assert mock_search_filter in result
assert mock_limit_offset in result
assert mock_order_by in result
python-advanced-alchemy-0.34.0/tests/unit/test_extensions/test_litestar/test_serialization_plugin.py0000664 0000000 0000000 00000004540 14763441450 0034426 0 ustar 00root root 0000000 0000000 from types import ModuleType
from typing import Callable
from litestar import get
from litestar.status_codes import HTTP_200_OK
from litestar.testing import RequestFactory, create_test_client
from sqlalchemy import String
from sqlalchemy.orm import Mapped, mapped_column
from advanced_alchemy.base import UUIDAuditBase
from advanced_alchemy.extensions.litestar import SQLAlchemySerializationPlugin
from advanced_alchemy.service.pagination import OffsetPagination
async def test_serialization_plugin(
create_module: Callable[[str], ModuleType],
request_factory: RequestFactory,
) -> None:
module = create_module(
"""
from __future__ import annotations
from typing import Dict, List, Set, Tuple, Type, List
from sqlalchemy.orm import DeclarativeBase, Mapped, mapped_column
from litestar import Litestar, get, post
from advanced_alchemy.extensions.litestar import SQLAlchemySerializationPlugin
class Base(DeclarativeBase):
id: Mapped[int] = mapped_column(primary_key=True)
class A(Base):
__tablename__ = "a"
a: Mapped[str]
@post("/a")
def post_handler(data: A) -> A:
return data
@get("/a")
def get_handler() -> List[A]:
return [A(id=1, a="test"), A(id=2, a="test2")]
@get("/a/1")
def get_a() -> A:
return A(id=1, a="test")
""",
)
with create_test_client(
route_handlers=[module.post_handler, module.get_handler, module.get_a],
plugins=[SQLAlchemySerializationPlugin()],
) as client:
response = client.post("/a", json={"id": 1, "a": "test"})
assert response.status_code == 201
assert response.json() == {"id": 1, "a": "test"}
response = client.get("/a")
assert response.json() == [{"id": 1, "a": "test"}, {"id": 2, "a": "test2"}]
response = client.get("/a/1")
assert response.json() == {"id": 1, "a": "test"}
class User(UUIDAuditBase):
first_name: Mapped[str] = mapped_column(String(200))
def test_pagination_serialization() -> None:
users = [User(first_name="ASD"), User(first_name="qwe")]
@get("/paginated")
async def paginated_handler() -> OffsetPagination[User]:
return OffsetPagination[User](items=users, limit=2, offset=0, total=2)
with create_test_client(paginated_handler, plugins=[SQLAlchemySerializationPlugin()]) as client:
response = client.get("/paginated")
assert response.status_code == HTTP_200_OK
python-advanced-alchemy-0.34.0/tests/unit/test_extensions/test_sanic.py 0000664 0000000 0000000 00000020417 14763441450 0026403 0 ustar 00root root 0000000 0000000 from __future__ import annotations
from typing import TYPE_CHECKING, Any, Union, cast
from unittest.mock import MagicMock
import pytest
from pytest import FixtureRequest
from pytest_mock import MockerFixture
from sanic import HTTPResponse, Request, Sanic
from sanic_testing.testing import SanicTestClient # type: ignore[import-untyped]
from sqlalchemy import Engine
from sqlalchemy.ext.asyncio import AsyncEngine
from typing_extensions import assert_type
from advanced_alchemy.extensions.sanic import AdvancedAlchemy, SQLAlchemyAsyncConfig, SQLAlchemySyncConfig
AnyConfig = Union[SQLAlchemyAsyncConfig, SQLAlchemySyncConfig]
@pytest.fixture()
def app() -> Sanic[Any, Any]:
return Sanic("TestSanic")
@pytest.fixture()
def client(app: Sanic[Any, Any]) -> SanicTestClient:
return SanicTestClient(app=app)
@pytest.fixture()
def sync_config() -> SQLAlchemySyncConfig:
return SQLAlchemySyncConfig(connection_string="sqlite+pysqlite://")
@pytest.fixture()
def async_config() -> SQLAlchemyAsyncConfig:
return SQLAlchemyAsyncConfig(connection_string="sqlite+aiosqlite://")
@pytest.fixture(params=["sync_config", "async_config"])
def config(request: FixtureRequest) -> AnyConfig:
return cast(AnyConfig, request.getfixturevalue(request.param))
@pytest.fixture()
def alchemy(config: AnyConfig, app: Sanic[Any, Any]) -> AdvancedAlchemy:
alchemy = AdvancedAlchemy(sqlalchemy_config=config)
alchemy.register(app)
return alchemy
@pytest.fixture()
def mock_close(mocker: MockerFixture, config: AnyConfig) -> MagicMock:
if isinstance(config, SQLAlchemySyncConfig):
return mocker.patch("sqlalchemy.orm.Session.close")
return mocker.patch("sqlalchemy.ext.asyncio.AsyncSession.close")
@pytest.fixture()
def mock_commit(mocker: MockerFixture, config: AnyConfig) -> MagicMock:
if isinstance(config, SQLAlchemySyncConfig):
return mocker.patch("sqlalchemy.orm.Session.commit")
return mocker.patch("sqlalchemy.ext.asyncio.AsyncSession.commit")
@pytest.fixture()
def mock_rollback(mocker: MockerFixture, config: AnyConfig) -> MagicMock:
if isinstance(config, SQLAlchemySyncConfig):
return mocker.patch("sqlalchemy.orm.Session.rollback")
return mocker.patch("sqlalchemy.ext.asyncio.AsyncSession.rollback")
def test_infer_types_from_config(async_config: SQLAlchemyAsyncConfig, sync_config: SQLAlchemySyncConfig) -> None:
if TYPE_CHECKING:
sync_alchemy = AdvancedAlchemy(sqlalchemy_config=sync_config)
async_alchemy = AdvancedAlchemy(sqlalchemy_config=async_config)
assert_type(sync_alchemy.get_sync_engine(), Engine)
assert_type(async_alchemy.get_async_engine(), AsyncEngine)
def test_inject_engine(app: Sanic[Any, Any], alchemy: AdvancedAlchemy) -> None:
@app.get("/")
async def handler(request: Request) -> HTTPResponse:
assert isinstance(getattr(request.app.ctx, alchemy.get_config().engine_key), (Engine, AsyncEngine))
return HTTPResponse(status=200)
client = SanicTestClient(app=app)
assert client.get("/")[1].status == 200 # pyright: ignore[reportOptionalMemberAccess,reportUnknownMemberType]
"""
def test_inject_session(app: Sanic, alchemy: AdvancedAlchemy, client: SanicTestClient) -> None:
if isinstance(alchemy.sqlalchemy_config, SQLAlchemyAsyncConfig):
app.ext.add_dependency(AsyncSession, alchemy.get_session_from_request)
@app.get("/")
async def handler(request: Request) -> HTTPResponse:
assert isinstance(getattr(request.ctx, alchemy.session_key), AsyncSession)
return HTTPResponse(status=200)
assert client.get("/")[1].status == 200
else:
app.ext.add_dependency(Session, alchemy.get_session_from_request)
@app.get("/")
async def handler(request: Request) -> HTTPResponse:
assert isinstance(getattr(request.ctx, alchemy.session_key), Session)
return HTTPResponse(status=200)
assert client.get("/")[1].status == 200
"""
"""
def test_session_no_autocommit(
app: Sanic,
alchemy: AdvancedAlchemy,
client: SanicTestClient,
mock_commit: MagicMock,
mock_close: MagicMock,
) -> None:
alchemy.autocommit_strategy = None
app.ext.add_dependency(Session, alchemy.get_session)
@app.get("/")
def handler(session: Session) -> None:
pass
assert client.get("/")[1].status == 200
mock_commit.assert_not_called()
mock_close.assert_called_once()
"""
"""
def test_session_autocommit_always(
app: Sanic,
alchemy: AdvancedAlchemy,
client: SanicTestClient,
mock_commit: MagicMock,
mock_close: MagicMock,
) -> None:
alchemy.autocommit_strategy = "always"
app.ext.add_dependency(Session, alchemy.get_session)
@app.get("/")
def handler(session: Session) -> None:
pass
assert client.get("/")[1].status == 200
mock_commit.assert_called_once()
mock_close.assert_called_once()
"""
"""
@pytest.mark.parametrize("status", [200, 201, 202, 204, 206])
def test_session_autocommit_match_status(
app: Sanic,
alchemy: AdvancedAlchemy,
client: SanicTestClient,
mock_commit: MagicMock,
mock_close: MagicMock,
mock_rollback: MagicMock,
status: int,
) -> None:
alchemy.autocommit_strategy = "match_status"
app.ext.add_dependency(Session, alchemy.get_session)
@app.get("/")
def handler(session: Session) -> HTTPResponse:
return HTTPResponse(status=status)
client.get("/")
mock_commit.assert_called_once()
mock_close.assert_called_once()
mock_rollback.assert_not_called()
"""
"""
@pytest.mark.parametrize("status", [300, 301, 305, 307, 308, 400, 401, 404, 450, 500, 900])
def test_session_autocommit_rollback_for_status(
app: Sanic,
alchemy: AdvancedAlchemy,
client: SanicTestClient,
mock_commit: MagicMock,
mock_close: MagicMock,
mock_rollback: MagicMock,
status: int,
) -> None:
alchemy.autocommit_strategy = "match_status"
app.ext.add_dependency(Session, alchemy.get_session)
@app.get("/")
def handler(session: Session) -> HTTPResponse:
return HTTPResponse(status=status)
client.get("/")
mock_commit.assert_not_called()
mock_close.assert_called_once()
mock_rollback.assert_called_once()
"""
"""
@pytest.mark.parametrize("autocommit_strategy", ["always", "match_status"])
def test_session_autocommit_close_on_exception(
app: Sanic,
alchemy: AdvancedAlchemy,
client: SanicTestClient,
mock_commit: MagicMock,
mock_close: MagicMock,
autocommit_strategy: CommitStrategy,
) -> None:
alchemy.autocommit_strategy = autocommit_strategy
mock_commit.side_effect = ValueError
app.ext.add_dependency(Session, alchemy.get_session)
@app.get("/")
def handler(session: Session) -> None:
pass
client.get("/")
mock_commit.assert_called_once()
mock_close.assert_called_once()
"""
"""
def test_multiple_instances(app: Sanic) -> None:
mock = MagicMock()
config_1 = SQLAlchemySyncConfig(connection_string="sqlite+aiosqlite://")
config_2 = SQLAlchemySyncConfig(connection_string="sqlite+aiosqlite:///test.db")
alchemy_1 = AdvancedAlchemy(sqlalchemy_config=config_1)
alchemy_2 = AdvancedAlchemy(
sqlalchemy_config=config_2,
engine_key="other_engine",
session_key="other_session",
session_maker_key="other_sessionmaker",
)
Extend.register(alchemy_1)
Extend.register(alchemy_2)
app.ext.add_dependency(Session, alchemy_1.get_session)
app.ext.add_dependency(Session, alchemy_2.get_session)
app.ext.add_dependency(Engine, alchemy_1.get_engine)
app.ext.add_dependency(Engine, alchemy_2.get_engine)
@app.get("/")
async def handler(
session_1: Session,
session_2: Session,
engine_1: Engine,
engine_2: Engine,
) -> None:
assert session_1 != session_2
assert engine_1 != engine_2
mock(session=session_1, engine=engine_1)
mock(session=session_2, engine=engine_2)
client = SanicTestClient(app=app)
_response = client.get("/")
assert alchemy_1.engine_key != alchemy_2.engine_key
assert alchemy_1.session_maker_key != alchemy_2.session_maker_key
assert alchemy_1.session_key != alchemy_2.session_key
assert alchemy_1.get_engine() is not alchemy_2.get_engine()
assert alchemy_1.get_sessionmaker() is not alchemy_2.get_sessionmaker()
"""
python-advanced-alchemy-0.34.0/tests/unit/test_extensions/test_starlette.py 0000664 0000000 0000000 00000047350 14763441450 0027322 0 ustar 00root root 0000000 0000000 from __future__ import annotations
import sys
from collections.abc import AsyncGenerator, Generator
from contextlib import asynccontextmanager
from typing import TYPE_CHECKING, Callable, Union, cast
from unittest.mock import MagicMock
import pytest
from pytest import FixtureRequest
from sqlalchemy import Engine, create_engine
from sqlalchemy.ext.asyncio import AsyncEngine, AsyncSession
from sqlalchemy.orm import Session
from starlette.applications import Starlette
from starlette.exceptions import HTTPException
from starlette.requests import Request
from starlette.responses import Response
from starlette.routing import Route
from starlette.testclient import TestClient
from typing_extensions import Literal, assert_type
from advanced_alchemy.exceptions import ImproperConfigurationError
from advanced_alchemy.extensions.starlette import AdvancedAlchemy, SQLAlchemyAsyncConfig, SQLAlchemySyncConfig
if TYPE_CHECKING:
from pytest import FixtureRequest
from pytest_mock import MockerFixture
AnyConfig = Union[SQLAlchemyAsyncConfig, SQLAlchemySyncConfig]
pytestmark = pytest.mark.xfail(
condition=sys.version_info < (3, 9),
reason="Certain versions of Starlette and FastAPI are stated to still support 3.8, but there are documented incompatibilities on various versions that have not been yanked. Marking 3.8 as an acceptable failure for now.",
)
@pytest.fixture()
def app() -> Starlette:
return Starlette()
@pytest.fixture()
def client(app: Starlette) -> Generator[TestClient, None, None]:
with TestClient(app=app, raise_server_exceptions=False) as client:
yield client
@pytest.fixture()
def sync_config() -> SQLAlchemySyncConfig:
return SQLAlchemySyncConfig(connection_string="sqlite+pysqlite:///:memory:")
@pytest.fixture()
def async_config() -> SQLAlchemyAsyncConfig:
return SQLAlchemyAsyncConfig(connection_string="sqlite+aiosqlite:///:memory:")
@pytest.fixture(params=["sync_config", "async_config"])
def config(request: FixtureRequest) -> AnyConfig:
return cast(AnyConfig, request.getfixturevalue(request.param))
@pytest.fixture()
def alchemy(config: AnyConfig, app: Starlette) -> Generator[AdvancedAlchemy, None, None]:
alchemy = AdvancedAlchemy(config, app=app)
yield alchemy
@pytest.fixture()
def multi_alchemy(app: Starlette) -> Generator[AdvancedAlchemy, None, None]:
alchemy = AdvancedAlchemy(
[
SQLAlchemySyncConfig(connection_string="sqlite+pysqlite:///:memory:", bind_key="sync"),
SQLAlchemyAsyncConfig(connection_string="sqlite+aiosqlite:///:memory:"),
],
app=app,
)
yield alchemy
async def test_infer_types_from_config(async_config: SQLAlchemyAsyncConfig, sync_config: SQLAlchemySyncConfig) -> None:
if TYPE_CHECKING:
sync_alchemy = AdvancedAlchemy([sync_config])
async_alchemy = AdvancedAlchemy([async_config])
assert_type(sync_alchemy.get_sync_engine(), Engine)
assert_type(async_alchemy.get_async_engine(), AsyncEngine)
assert_type(sync_alchemy.get_sync_config().create_session_maker(), Callable[[], Session])
assert_type(async_alchemy.get_async_config().create_session_maker(), Callable[[], AsyncSession])
with sync_alchemy.with_sync_session() as session:
assert_type(session, Session)
async with async_alchemy.with_async_session() as session:
assert_type(session, AsyncSession)
def test_init_app_not_called_raises(client: TestClient, config: SQLAlchemySyncConfig) -> None:
alchemy = AdvancedAlchemy(config)
with pytest.raises(ImproperConfigurationError):
alchemy.app
def test_inject_engine(app: Starlette) -> None:
mock = MagicMock()
config = SQLAlchemySyncConfig(engine_instance=create_engine("sqlite+aiosqlite://"))
alchemy = AdvancedAlchemy(config=config, app=app)
async def handler(request: Request) -> Response:
engine = alchemy.get_engine()
mock(engine)
return Response(status_code=200)
app.router.routes.append(Route("/", endpoint=handler))
with TestClient(app=app) as client:
assert client.get("/").status_code == 200
assert mock.call_args[0][0] is config.engine_instance
def test_inject_session(app: Starlette, alchemy: AdvancedAlchemy, client: TestClient) -> None:
mock = MagicMock()
async def handler(request: Request) -> Response:
session = alchemy.get_session(request)
mock(session)
return Response(status_code=200)
app.router.routes.append(Route("/", endpoint=handler))
call = client.get("/")
assert call.status_code == 200
assert mock.call_count == 1
call_1_session = mock.call_args_list[0].args[0]
assert isinstance(
call_1_session,
AsyncSession if isinstance(alchemy.config[0], SQLAlchemyAsyncConfig) else Session,
)
def test_session_no_autocommit(
app: Starlette,
alchemy: AdvancedAlchemy,
client: TestClient,
mocker: MockerFixture,
) -> None:
if isinstance(alchemy.config[0], SQLAlchemyAsyncConfig):
mock_commit = mocker.patch("sqlalchemy.ext.asyncio.AsyncSession.commit")
mock_close = mocker.patch("sqlalchemy.ext.asyncio.AsyncSession.close")
else:
mock_commit = mocker.patch("sqlalchemy.orm.Session.commit")
mock_close = mocker.patch("sqlalchemy.orm.Session.close")
app.middleware_stack = app.build_middleware_stack()
async def handler(request: Request) -> Response:
_session = alchemy.get_session(request)
return Response(status_code=200)
app.router.routes.append(Route("/", endpoint=handler))
assert client.get("/").status_code == 200
mock_commit.assert_not_called()
mock_close.assert_called_once()
@pytest.mark.parametrize("status_code", [200, 201, 202, 204, 206])
def test_sync_session_autocommit_success_status(
mocker: MockerFixture,
status_code: int,
) -> None:
mock_commit = mocker.patch("sqlalchemy.orm.Session.commit")
mock_close = mocker.patch("sqlalchemy.orm.Session.close")
mock_rollback = mocker.patch("sqlalchemy.orm.Session.rollback")
app = Starlette()
config = SQLAlchemySyncConfig(connection_string="sqlite+pysqlite:///:memory:", commit_mode="autocommit")
alchemy = AdvancedAlchemy(config, app=app)
async def handler(request: Request) -> Response:
_session = alchemy.get_session(request)
return Response(status_code=status_code)
app.router.routes.append(Route("/", endpoint=handler))
with TestClient(app=app) as client:
_ = client.get("/")
mock_commit.assert_called_once()
mock_close.assert_called_once()
mock_rollback.assert_not_called()
@pytest.mark.parametrize("status_code", [200, 201, 202, 204, 206])
def test_sync_session_autocommit_include_redirect_success_status(
mocker: MockerFixture,
status_code: int,
) -> None:
mock_commit = mocker.patch("sqlalchemy.orm.Session.commit")
mock_close = mocker.patch("sqlalchemy.orm.Session.close")
mock_rollback = mocker.patch("sqlalchemy.orm.Session.rollback")
app = Starlette()
config = SQLAlchemySyncConfig(
connection_string="sqlite+pysqlite:///:memory:", commit_mode="autocommit_include_redirect"
)
alchemy = AdvancedAlchemy(config, app=app)
async def handler(request: Request) -> Response:
_session = alchemy.get_session(request)
return Response(status_code=status_code)
app.router.routes.append(Route("/", endpoint=handler))
with TestClient(app=app) as client:
_ = client.get("/")
mock_commit.assert_called_once()
mock_close.assert_called_once()
mock_rollback.assert_not_called()
@pytest.mark.parametrize("status_code", [200, 201, 202, 204, 206])
def test_async_session_autocommit_success_status(
mocker: MockerFixture,
status_code: int,
) -> None:
mock_commit = mocker.patch("sqlalchemy.ext.asyncio.AsyncSession.commit")
mock_close = mocker.patch("sqlalchemy.ext.asyncio.AsyncSession.close")
mock_rollback = mocker.patch("sqlalchemy.ext.asyncio.AsyncSession.rollback")
app = Starlette()
config = SQLAlchemyAsyncConfig(connection_string="sqlite+aiosqlite:///:memory:", commit_mode="autocommit")
alchemy = AdvancedAlchemy(config, app=app)
async def handler(request: Request) -> Response:
_session = alchemy.get_session(request)
return Response(status_code=status_code)
app.router.routes.append(Route("/", endpoint=handler))
with TestClient(app=app) as client:
_ = client.get("/")
mock_commit.assert_called_once()
mock_close.assert_called_once()
mock_rollback.assert_not_called()
@pytest.mark.parametrize("status_code", [200, 201, 202, 204, 206])
def test_async_session_autocommit_include_redirect_success_status(
mocker: MockerFixture,
status_code: int,
) -> None:
mock_commit = mocker.patch("sqlalchemy.ext.asyncio.AsyncSession.commit")
mock_close = mocker.patch("sqlalchemy.ext.asyncio.AsyncSession.close")
mock_rollback = mocker.patch("sqlalchemy.ext.asyncio.AsyncSession.rollback")
app = Starlette()
config = SQLAlchemyAsyncConfig(
connection_string="sqlite+aiosqlite:///:memory:", commit_mode="autocommit_include_redirect"
)
alchemy = AdvancedAlchemy(config, app=app)
async def handler(request: Request) -> Response:
_session = alchemy.get_session(request)
return Response(status_code=status_code)
app.router.routes.append(Route("/", endpoint=handler))
with TestClient(app=app) as client:
_ = client.get("/")
mock_commit.assert_called_once()
mock_close.assert_called_once()
mock_rollback.assert_not_called()
@pytest.mark.parametrize("status_code", [300, 301, 305, 307, 308, 400, 401, 404, 450, 500, 900])
def test_sync_session_autocommit_rollback_for_status(
status_code: int,
mocker: MockerFixture,
) -> None:
mock_commit = mocker.patch("sqlalchemy.orm.Session.commit")
mock_close = mocker.patch("sqlalchemy.orm.Session.close")
mock_rollback = mocker.patch("sqlalchemy.orm.Session.rollback")
app = Starlette()
config = SQLAlchemySyncConfig(connection_string="sqlite+pysqlite:///:memory:", commit_mode="autocommit")
alchemy = AdvancedAlchemy(config, app=app)
async def handler(request: Request) -> Response:
_session = alchemy.get_session(request)
return Response(status_code=status_code)
app.router.routes.append(Route("/", endpoint=handler))
with TestClient(app=app) as client:
response = client.get("/")
assert response.status_code == status_code
if status_code >= 300:
assert mock_commit.call_count == 0
assert mock_rollback.call_count == 1
assert mock_close.call_count == 1
else:
assert mock_commit.call_count == 1
assert mock_close.call_count == 1
assert mock_rollback.call_count == 0
@pytest.mark.parametrize("status_code", [300, 301, 305, 307, 308, 400, 401, 404, 450, 500, 900])
def test_sync_session_autocommit_include_redirect_rollback_for_status(
status_code: int,
mocker: MockerFixture,
) -> None:
mock_commit = mocker.patch("sqlalchemy.orm.Session.commit")
mock_close = mocker.patch("sqlalchemy.orm.Session.close")
mock_rollback = mocker.patch("sqlalchemy.orm.Session.rollback")
app = Starlette()
config = SQLAlchemySyncConfig(
connection_string="sqlite+pysqlite:///:memory:", commit_mode="autocommit_include_redirect"
)
alchemy = AdvancedAlchemy(config, app=app)
async def handler(request: Request) -> Response:
_session = alchemy.get_session(request)
return Response(status_code=status_code)
app.router.routes.append(Route("/", endpoint=handler))
with TestClient(app=app) as client:
response = client.get("/")
assert response.status_code == status_code
if status_code < 400:
assert mock_commit.call_count == 1
assert mock_rollback.call_count == 0
assert mock_close.call_count == 1
else:
assert mock_commit.call_count == 0
assert mock_rollback.call_count == 1
assert mock_close.call_count == 1
@pytest.mark.parametrize("status_code", [300, 301, 305, 307, 308, 400, 401, 404, 450, 500, 900])
def test_async_session_autocommit_rollback_for_status(
status_code: int,
mocker: MockerFixture,
) -> None:
mock_commit = mocker.patch("sqlalchemy.ext.asyncio.AsyncSession.commit")
mock_close = mocker.patch("sqlalchemy.ext.asyncio.AsyncSession.close")
mock_rollback = mocker.patch("sqlalchemy.ext.asyncio.AsyncSession.rollback")
app = Starlette()
config = SQLAlchemyAsyncConfig(connection_string="sqlite+aiosqlite:///:memory:", commit_mode="autocommit")
alchemy = AdvancedAlchemy(config, app=app)
async def handler(request: Request) -> Response:
_session = alchemy.get_session(request)
return Response(status_code=status_code)
app.router.routes.append(Route("/", endpoint=handler))
with TestClient(app=app) as client:
response = client.get("/")
assert response.status_code == status_code
if status_code >= 300:
assert mock_commit.call_count == 0
assert mock_rollback.call_count == 1
assert mock_close.call_count == 1
else:
assert mock_commit.call_count == 1
assert mock_close.call_count == 1
assert mock_rollback.call_count == 0
@pytest.mark.parametrize("status_code", [300, 301, 305, 307, 308, 400, 401, 404, 450, 500, 900])
def test_async_session_autocommit_include_redirect_rollback_for_status(
status_code: int,
mocker: MockerFixture,
) -> None:
mock_commit = mocker.patch("sqlalchemy.ext.asyncio.AsyncSession.commit")
mock_close = mocker.patch("sqlalchemy.ext.asyncio.AsyncSession.close")
mock_rollback = mocker.patch("sqlalchemy.ext.asyncio.AsyncSession.rollback")
app = Starlette()
config = SQLAlchemyAsyncConfig(
connection_string="sqlite+aiosqlite:///:memory:", commit_mode="autocommit_include_redirect"
)
alchemy = AdvancedAlchemy(config, app=app)
async def handler(request: Request) -> Response:
_session = alchemy.get_session(request)
return Response(status_code=status_code)
app.router.routes.append(Route("/", endpoint=handler))
with TestClient(app=app) as client:
response = client.get("/")
assert response.status_code == status_code
if status_code >= 400:
assert mock_commit.call_count == 0
assert mock_rollback.call_count == 1
assert mock_close.call_count == 1
else:
assert mock_commit.call_count == 1
assert mock_rollback.call_count == 0
assert mock_close.call_count == 1
@pytest.mark.parametrize("autocommit_strategy", ["autocommit", "autocommit_include_redirect"])
def test_sync_session_autocommit_close_on_exception(
mocker: MockerFixture,
autocommit_strategy: Literal["autocommit", "autocommit_include_redirect"],
) -> None:
mock_commit = mocker.patch("sqlalchemy.orm.Session.commit")
mock_rollback = mocker.patch("sqlalchemy.orm.Session.rollback")
mock_close = mocker.patch("sqlalchemy.orm.Session.close")
async def http_exception(request: Request, exc: HTTPException) -> Response:
return Response(status_code=exc.status_code)
app = Starlette(exception_handlers={HTTPException: http_exception}) # type: ignore
config = SQLAlchemySyncConfig(connection_string="sqlite+pysqlite:///:memory:", commit_mode=autocommit_strategy)
alchemy = AdvancedAlchemy(config, app=app)
async def handler(request: Request) -> None:
_session = alchemy.get_session(request)
raise HTTPException(status_code=500, detail="Intentional error for testing")
app.router.routes.append(Route("/", endpoint=handler))
with TestClient(app=app) as client:
client.get("/")
mock_commit.assert_not_called()
mock_rollback.assert_called_once()
mock_close.assert_called_once()
@pytest.mark.parametrize("autocommit_strategy", ["autocommit", "autocommit_include_redirect"])
async def test_async_session_autocommit_close_on_exception(
mocker: MockerFixture,
autocommit_strategy: Literal["autocommit", "autocommit_include_redirect"],
) -> None:
mock_commit = mocker.patch("sqlalchemy.ext.asyncio.AsyncSession.commit")
mock_rollback = mocker.patch("sqlalchemy.ext.asyncio.AsyncSession.rollback")
mock_close = mocker.patch("sqlalchemy.ext.asyncio.AsyncSession.close")
async def http_exception(request: Request, exc: HTTPException) -> Response:
return Response(status_code=exc.status_code)
app = Starlette(exception_handlers={HTTPException: http_exception}) # type: ignore
config = SQLAlchemyAsyncConfig(connection_string="sqlite+aiosqlite:///:memory:", commit_mode=autocommit_strategy)
alchemy = AdvancedAlchemy(config, app=app)
async def handler(request: Request) -> None:
_session = alchemy.get_session(request)
raise HTTPException(status_code=500, detail="Intentional error for testing")
app.router.routes.append(Route("/", endpoint=handler))
with TestClient(app=app) as client:
client.get("/")
mock_commit.assert_not_called()
mock_rollback.assert_called_once()
mock_close.assert_called_once()
def test_multiple_instances(app: Starlette) -> None:
mock = MagicMock()
config_1 = SQLAlchemySyncConfig(connection_string="sqlite:///other.db")
config_2 = SQLAlchemyAsyncConfig(connection_string="sqlite+aiosqlite:///test.db", bind_key="other")
alchemy_1 = AdvancedAlchemy([config_1, config_2], app=app)
async def handler(request: Request) -> Response:
session_1 = alchemy_1.get_sync_session(request)
engine_1 = alchemy_1.get_sync_engine()
session_2 = alchemy_1.get_async_session(request, key="other")
engine_2 = alchemy_1.get_async_engine(key="other")
assert session_1 is not session_2 # type: ignore
assert engine_1 is not engine_2
mock(session=session_1, engine=engine_1)
mock(session=session_2, engine=engine_2)
return Response(status_code=200)
app.router.routes.append(Route("/", endpoint=handler))
with TestClient(app=app) as client:
client.get("/")
assert alchemy_1.get_sync_engine() is not alchemy_1.get_async_engine("other")
async def test_lifespan_startup_shutdown_called_starlette(
mocker: MockerFixture, app: Starlette, config: AnyConfig
) -> None:
mock_startup = mocker.patch.object(AdvancedAlchemy, "on_startup")
mock_shutdown = mocker.patch.object(AdvancedAlchemy, "on_shutdown")
_alchemy = AdvancedAlchemy(config, app=app)
with TestClient(app=app) as _client: # TestClient context manager triggers lifespan events
pass # App starts up and shuts down within this context
mock_startup.assert_called_once()
mock_shutdown.assert_called_once()
async def test_lifespan_with_custom_lifespan_starlette(
mocker: MockerFixture, app: Starlette, config: AnyConfig
) -> None:
mock_aa_startup = mocker.patch.object(AdvancedAlchemy, "on_startup")
mock_aa_shutdown = mocker.patch.object(AdvancedAlchemy, "on_shutdown")
mock_custom_startup = mocker.MagicMock()
mock_custom_shutdown = mocker.MagicMock()
@asynccontextmanager
async def custom_lifespan(app_in: Starlette) -> AsyncGenerator[None, None]:
mock_custom_startup()
yield
mock_custom_shutdown()
app.router.lifespan_context = custom_lifespan # type: ignore[assignment] # Set a custom lifespan on the app
_alchemy = AdvancedAlchemy(config, app=app)
with TestClient(app=app) as _client: # TestClient context manager triggers lifespan events
pass # App starts up and shuts down within this context
mock_aa_startup.assert_called_once()
mock_aa_shutdown.assert_called_once()
mock_custom_startup.assert_called_once()
mock_custom_shutdown.assert_called_once()
python-advanced-alchemy-0.34.0/tests/unit/test_repository.py 0000664 0000000 0000000 00000112744 14763441450 0024274 0 ustar 00root root 0000000 0000000 """Unit tests for the SQLAlchemy Repository implementation."""
from __future__ import annotations
import datetime
from collections.abc import AsyncGenerator, Collection, Generator
from typing import TYPE_CHECKING, Any, Union, cast
from unittest.mock import AsyncMock, MagicMock
from uuid import uuid4
import pytest
from msgspec import Struct
from pydantic import BaseModel
from pytest_lazy_fixtures import lf
from sqlalchemy import String
from sqlalchemy.exc import SQLAlchemyError
from sqlalchemy.ext.asyncio import AsyncSession
from sqlalchemy.orm import InstrumentedAttribute, Mapped, Session, mapped_column
from advanced_alchemy import base
from advanced_alchemy.exceptions import IntegrityError, RepositoryError, wrap_sqlalchemy_exception
from advanced_alchemy.filters import (
BeforeAfter,
CollectionFilter,
LimitOffset,
NotInCollectionFilter,
OnBeforeAfter,
)
from advanced_alchemy.repository import (
SQLAlchemyAsyncRepository,
SQLAlchemySyncRepository,
)
from advanced_alchemy.service.typing import (
is_msgspec_struct,
is_pydantic_model,
is_schema,
is_schema_or_dict,
is_schema_or_dict_with_field,
is_schema_or_dict_without_field,
is_schema_with_field,
is_schema_without_field,
)
from tests.helpers import maybe_async
if TYPE_CHECKING:
from _pytest.fixtures import FixtureRequest
from pytest import MonkeyPatch
from pytest_mock import MockerFixture
AnyMock = Union[MagicMock, AsyncMock]
class UUIDModel(base.UUIDAuditBase):
"""Inheriting from UUIDAuditBase gives the model 'created_at' and 'updated_at'
columns.
"""
class BigIntModel(base.BigIntAuditBase):
"""Inheriting from BigIntAuditBase gives the model 'created_at' and 'updated_at'
columns.
"""
@pytest.fixture()
async def async_mock_repo() -> AsyncGenerator[SQLAlchemyAsyncRepository[MagicMock], None]:
"""SQLAlchemy repository with a mock model type."""
class Repo(SQLAlchemyAsyncRepository[MagicMock]):
"""Repo with mocked out stuff."""
model_type = MagicMock(__name__="MagicMock") # pyright:ignore[reportGeneralTypeIssues,reportAssignmentType]
session = AsyncMock(spec=AsyncSession, bind=MagicMock())
yield Repo(session=session, statement=MagicMock())
@pytest.fixture()
def sync_mock_repo() -> Generator[SQLAlchemySyncRepository[MagicMock], None, None]:
"""SQLAlchemy repository with a mock model type."""
class Repo(SQLAlchemySyncRepository[MagicMock]):
"""Repo with mocked out stuff."""
model_type = MagicMock(__name__="MagicMock") # pyright:ignore[reportGeneralTypeIssues,reportAssignmentType]
yield Repo(session=MagicMock(spec=Session, bind=MagicMock()), statement=MagicMock())
@pytest.fixture(params=[lf("sync_mock_repo"), lf("async_mock_repo")])
def mock_repo(request: FixtureRequest) -> Generator[SQLAlchemyAsyncRepository[MagicMock], None, None]:
yield cast(SQLAlchemyAsyncRepository[Any], request.param)
@pytest.fixture()
def mock_session_scalars( # pyright: ignore[reportUnknownParameterType]
mock_repo: SQLAlchemyAsyncRepository[MagicMock], mocker: MockerFixture
) -> Generator[AnyMock, None, None]:
yield mocker.patch.object(mock_repo.session, "scalars")
@pytest.fixture()
def mock_session_execute( # pyright: ignore[reportUnknownParameterType]
mock_repo: SQLAlchemyAsyncRepository[MagicMock], mocker: MockerFixture
) -> Generator[AnyMock, None, None]:
yield mocker.patch.object(mock_repo.session, "scalars")
@pytest.fixture()
def mock_repo_list( # pyright: ignore[reportUnknownParameterType]
mock_repo: SQLAlchemyAsyncRepository[MagicMock], mocker: MockerFixture
) -> Generator[AnyMock, None, None]:
yield mocker.patch.object(mock_repo, "list")
@pytest.fixture()
def mock_repo_execute( # pyright: ignore[reportUnknownParameterType]
mock_repo: SQLAlchemyAsyncRepository[MagicMock], mocker: MockerFixture
) -> Generator[AnyMock, None, None]:
yield mocker.patch.object(mock_repo, "_execute")
@pytest.fixture()
def mock_repo_attach_to_session( # pyright: ignore[reportUnknownParameterType]
mock_repo: SQLAlchemyAsyncRepository[MagicMock], mocker: MockerFixture
) -> Generator[AnyMock, None, None]:
yield mocker.patch.object(mock_repo, "_attach_to_session")
@pytest.fixture()
def mock_repo_count( # pyright: ignore[reportUnknownParameterType]
mock_repo: SQLAlchemyAsyncRepository[MagicMock], mocker: MockerFixture
) -> Generator[AnyMock, None, None]:
yield mocker.patch.object(mock_repo, "count")
def test_sqlalchemy_tablename() -> None:
"""Test the snake case conversion for table names."""
class BigModel(base.UUIDAuditBase):
"""Inheriting from UUIDAuditBase gives the model 'created_at' and 'updated_at'
columns.
"""
class TESTModel(base.UUIDAuditBase):
"""Inheriting from UUIDAuditBase gives the model 'created_at' and 'updated_at'
columns.
"""
class OtherBigIntModel(base.BigIntAuditBase):
"""Inheriting from BigIntAuditBase gives the model 'created_at' and 'updated_at'
columns.
"""
assert BigModel.__tablename__ == "big_model"
assert TESTModel.__tablename__ == "test_model"
assert OtherBigIntModel.__tablename__ == "other_big_int_model"
def test_sqlalchemy_sentinel(monkeypatch: MonkeyPatch) -> None:
"""Test the sqlalchemy sentinel column only exists on `UUIDPrimaryKey` models."""
class AnotherModel(base.UUIDAuditBase):
"""Inheriting from UUIDAuditBase gives the model 'created_at' and 'updated_at'
columns.
"""
the_extra_col: Mapped[str] = mapped_column(String(length=100), nullable=True) # pyright: ignore
class TheTestModel(base.UUIDBase):
"""Inheriting from DeclarativeBase gives the model 'id' columns."""
the_extra_col: Mapped[str] = mapped_column(String(length=100), nullable=True) # pyright: ignore
class TheBigIntModel(base.BigIntBase):
"""Inheriting from DeclarativeBase gives the model 'id' columns."""
the_extra_col: Mapped[str] = mapped_column(String(length=100), nullable=True) # pyright: ignore
unloaded_cols = {"the_extra_col"}
sa_instance_mock = MagicMock(unloaded=unloaded_cols)
assert isinstance(AnotherModel._sentinel, InstrumentedAttribute) # pyright: ignore
assert isinstance(TheTestModel._sentinel, InstrumentedAttribute) # pyright: ignore
assert not hasattr(TheBigIntModel, "_sentinel")
model1, model2, model3 = AnotherModel(), TheTestModel(), TheBigIntModel()
monkeypatch.setattr(model1, "_sa_instance_state", sa_instance_mock)
monkeypatch.setattr(model2, "_sa_instance_state", sa_instance_mock)
monkeypatch.setattr(model3, "_sa_instance_state", sa_instance_mock)
assert "created_at" not in model1.to_dict(exclude={"created_at"})
assert "the_extra_col" not in model1.to_dict(exclude={"created_at"})
assert "sa_orm_sentinel" not in model1.to_dict()
assert "sa_orm_sentinel" not in model2.to_dict()
assert "sa_orm_sentinel" not in model3.to_dict()
assert "_sentinel" not in model1.to_dict()
assert "_sentinel" not in model2.to_dict()
assert "_sentinel" not in model3.to_dict()
assert "the_extra_col" not in model1.to_dict()
def test_wrap_sqlalchemy_integrity_error() -> None:
"""Test to ensure we wrap IntegrityError."""
with pytest.raises(IntegrityError), wrap_sqlalchemy_exception():
raise IntegrityError(None, None, Exception())
def test_wrap_sqlalchemy_generic_error() -> None:
"""Test to ensure we wrap generic SQLAlchemy exceptions."""
with pytest.raises(RepositoryError), wrap_sqlalchemy_exception():
raise SQLAlchemyError
async def test_sqlalchemy_repo_add(mock_repo: SQLAlchemyAsyncRepository[Any]) -> None:
"""Test expected method calls for add operation."""
mock_instance = MagicMock()
instance = await maybe_async(mock_repo.add(mock_instance))
assert instance is mock_instance
mock_repo.session.add.assert_called_once_with(mock_instance) # pyright: ignore[reportFunctionMemberAccess]
mock_repo.session.flush.assert_called_once() # pyright: ignore[reportFunctionMemberAccess]
mock_repo.session.refresh.assert_called_once_with( # pyright: ignore[reportFunctionMemberAccess]
instance=mock_instance,
attribute_names=None,
with_for_update=None,
)
mock_repo.session.expunge.assert_not_called() # pyright: ignore[reportFunctionMemberAccess]
mock_repo.session.commit.assert_not_called() # pyright: ignore[reportFunctionMemberAccess]
async def test_sqlalchemy_repo_add_many(
mock_repo: SQLAlchemyAsyncRepository[Any],
monkeypatch: MonkeyPatch,
mocker: MockerFixture,
request: FixtureRequest,
) -> None:
"""Test expected method calls for add many operation."""
mock_instances = [MagicMock(), MagicMock(), MagicMock()]
monkeypatch.setattr(mock_repo, "model_type", UUIDModel)
mocker.patch.object(mock_repo.session, "scalars", return_value=mock_instances)
instances = await maybe_async(mock_repo.add_many(mock_instances))
assert len(instances) == 3
for row in instances:
assert row.id is not None
mock_repo.session.expunge.assert_not_called() # pyright: ignore[reportFunctionMemberAccess]
mock_repo.session.commit.assert_not_called() # pyright: ignore[reportFunctionMemberAccess]
async def test_sqlalchemy_repo_update_many(
mock_repo: SQLAlchemyAsyncRepository[Any],
monkeypatch: MonkeyPatch,
mocker: MockerFixture,
) -> None:
"""Test expected method calls for update many operation."""
mock_instances = [MagicMock(), MagicMock(), MagicMock()]
monkeypatch.setattr(mock_repo, "model_type", UUIDModel)
mocker.patch.object(mock_repo.session, "scalars", return_value=mock_instances)
instances = await maybe_async(mock_repo.update_many(mock_instances))
assert len(instances) == 3
for row in instances:
assert row.id is not None
mock_repo.session.flush.assert_called_once() # pyright: ignore[reportFunctionMemberAccess]
mock_repo.session.commit.assert_not_called() # pyright: ignore[reportFunctionMemberAccess]
async def test_sqlalchemy_repo_upsert_many(
mock_repo: SQLAlchemyAsyncRepository[Any],
monkeypatch: MonkeyPatch,
mocker: MockerFixture,
) -> None:
"""Test expected method calls for update many operation."""
mock_instances = [MagicMock(), MagicMock(), MagicMock()]
monkeypatch.setattr(mock_repo, "model_type", UUIDModel)
mocker.patch.object(mock_repo.session, "scalars", return_value=mock_instances)
mocker.patch.object(mock_repo, "list", return_value=mock_instances)
mocker.patch.object(mock_repo, "add_many", return_value=mock_instances)
mocker.patch.object(mock_repo, "update_many", return_value=mock_instances)
instances = await maybe_async(mock_repo.upsert_many(mock_instances))
assert len(instances) == 3
for row in instances:
assert row.id is not None
mock_repo.session.commit.assert_not_called() # pyright: ignore[reportFunctionMemberAccess]
async def test_sqlalchemy_repo_delete(mock_repo: SQLAlchemyAsyncRepository[Any], mocker: MockerFixture) -> None:
"""Test expected method calls for delete operation."""
mock_instance = MagicMock()
mocker.patch.object(mock_repo, "get", return_value=mock_instance)
instance = await maybe_async(mock_repo.delete("instance-id"))
assert instance is mock_instance
mock_repo.session.delete.assert_called_once_with(mock_instance) # pyright: ignore[reportFunctionMemberAccess]
mock_repo.session.flush.assert_called_once() # pyright: ignore[reportFunctionMemberAccess]
mock_repo.session.expunge.assert_not_called() # pyright: ignore[reportFunctionMemberAccess]
mock_repo.session.commit.assert_not_called() # pyright: ignore[reportFunctionMemberAccess]
async def test_sqlalchemy_repo_delete_many_uuid(
mock_repo: SQLAlchemyAsyncRepository[Any],
monkeypatch: MonkeyPatch,
mock_session_scalars: AnyMock,
mock_session_execute: AnyMock,
mock_repo_list: AnyMock,
) -> None:
"""Test expected method calls for delete operation."""
mock_instances = [MagicMock(), MagicMock(id=uuid4())]
mock_session_scalars.return_value = mock_instances
mock_session_execute.return_value = mock_instances
mock_repo_list.return_value = mock_instances
monkeypatch.setattr(mock_repo, "model_type", UUIDModel)
monkeypatch.setattr(mock_repo.session.bind.dialect, "insertmanyvalues_max_parameters", 2)
added_instances = await maybe_async(mock_repo.add_many(mock_instances))
instances = await maybe_async(mock_repo.delete_many([obj.id for obj in added_instances]))
assert len(instances) == len(mock_instances)
mock_repo.session.flush.assert_called() # pyright: ignore[reportFunctionMemberAccess]
mock_repo.session.commit.assert_not_called() # pyright: ignore[reportFunctionMemberAccess]
async def test_sqlalchemy_repo_delete_many_bigint(
mock_repo: SQLAlchemyAsyncRepository[Any],
monkeypatch: MonkeyPatch,
mock_session_scalars: AnyMock,
mock_session_execute: AnyMock,
mock_repo_list: AnyMock,
testrun_uid: str,
) -> None:
"""Test expected method calls for delete operation."""
mock_instances = [MagicMock(), MagicMock(id=uuid4())]
mock_session_scalars.return_value = mock_instances
mock_session_execute.return_value = mock_instances
mock_repo_list.return_value = mock_instances
monkeypatch.setattr(mock_repo, "model_type", BigIntModel)
monkeypatch.setattr(mock_repo.session.bind.dialect, "insertmanyvalues_max_parameters", 2)
added_instances = await maybe_async(mock_repo.add_many(mock_instances))
instances = await maybe_async(mock_repo.delete_many([obj.id for obj in added_instances]))
assert len(instances) == len(mock_instances)
mock_repo.session.flush.assert_called() # pyright: ignore[reportFunctionMemberAccess]
mock_repo.session.commit.assert_not_called() # pyright: ignore[reportFunctionMemberAccess]
async def test_sqlalchemy_repo_get_member(
mock_repo: SQLAlchemyAsyncRepository[Any],
monkeypatch: MonkeyPatch,
mock_repo_execute: AnyMock,
) -> None:
"""Test expected method calls for member get operation."""
mock_instance = MagicMock()
mock_repo_execute.return_value = MagicMock(scalar_one_or_none=MagicMock(return_value=mock_instance))
instance = await maybe_async(mock_repo.get("instance-id"))
assert instance is mock_instance
mock_repo.session.expunge.assert_not_called() # pyright: ignore[reportFunctionMemberAccess]
mock_repo.session.commit.assert_not_called() # pyright: ignore[reportFunctionMemberAccess]
async def test_sqlalchemy_repo_get_one_member(
mock_repo: SQLAlchemyAsyncRepository[Any],
monkeypatch: MonkeyPatch,
mock_repo_execute: AnyMock,
) -> None:
"""Test expected method calls for member get one operation."""
mock_instance = MagicMock()
mock_repo_execute.return_value = MagicMock(scalar_one_or_none=MagicMock(return_value=mock_instance))
instance = await maybe_async(mock_repo.get_one(id="instance-id"))
assert instance is mock_instance
mock_repo.session.expunge.assert_not_called() # pyright: ignore[reportFunctionMemberAccess]
mock_repo.session.commit.assert_not_called() # pyright: ignore[reportFunctionMemberAccess]
async def test_sqlalchemy_repo_get_or_upsert_member_existing(
mock_repo: SQLAlchemyAsyncRepository[Any],
monkeypatch: MonkeyPatch,
mock_repo_execute: AnyMock,
mock_repo_attach_to_session: AnyMock,
) -> None:
"""Test expected method calls for member get or create operation (existing)."""
mock_instance = MagicMock()
mock_repo_execute.return_value = MagicMock(scalar_one_or_none=MagicMock(return_value=mock_instance))
mock_repo_attach_to_session.return_value = mock_instance
instance, created = await maybe_async(mock_repo.get_or_upsert(id="instance-id", upsert=False))
assert instance is mock_instance
assert created is False
mock_repo.session.expunge.assert_not_called() # pyright: ignore[reportFunctionMemberAccess]
mock_repo.session.merge.assert_not_called() # pyright: ignore[reportFunctionMemberAccess]
mock_repo.session.refresh.assert_not_called() # pyright: ignore[reportFunctionMemberAccess]
async def test_sqlalchemy_repo_get_or_upsert_member_existing_upsert(
mock_repo: SQLAlchemyAsyncRepository[Any],
monkeypatch: MonkeyPatch,
mock_repo_execute: AnyMock,
mock_repo_attach_to_session: AnyMock,
) -> None:
"""Test expected method calls for member get or create operation (existing)."""
mock_instance = MagicMock()
mock_repo_execute.return_value = MagicMock(scalar_one_or_none=MagicMock(return_value=mock_instance))
mock_repo_attach_to_session.return_value = mock_instance
instance, created = await maybe_async(
mock_repo.get_or_upsert(id="instance-id", upsert=True, an_extra_attribute="yep"),
)
assert instance is mock_instance
assert created is False
mock_repo.session.expunge.assert_not_called() # pyright: ignore[reportFunctionMemberAccess]
mock_repo._attach_to_session.assert_called_once() # pyright: ignore[reportFunctionMemberAccess,reportPrivateUsage]
mock_repo.session.flush.assert_called_once() # pyright: ignore[reportFunctionMemberAccess]
mock_repo.session.refresh.assert_called_once_with( # pyright: ignore[reportFunctionMemberAccess]
instance=mock_instance,
attribute_names=None,
with_for_update=None,
)
async def test_sqlalchemy_repo_get_or_upsert_member_existing_no_upsert(
mock_repo: SQLAlchemyAsyncRepository[Any],
monkeypatch: MonkeyPatch,
mock_repo_execute: AnyMock,
) -> None:
"""Test expected method calls for member get or create operation (existing)."""
mock_instance = MagicMock()
mock_repo_execute.return_value = MagicMock(scalar_one_or_none=MagicMock(return_value=mock_instance))
instance, created = await maybe_async(
mock_repo.get_or_upsert(id="instance-id", upsert=False, an_extra_attribute="yep"),
)
assert instance is mock_instance
assert created is False
mock_repo.session.expunge.assert_not_called() # pyright: ignore[reportFunctionMemberAccess]
mock_repo.session.add.assert_not_called() # pyright: ignore[reportFunctionMemberAccess]
mock_repo.session.refresh.assert_not_called() # pyright: ignore[reportFunctionMemberAccess]
async def test_sqlalchemy_repo_get_or_upsert_member_created(
mock_repo: SQLAlchemyAsyncRepository[Any],
monkeypatch: MonkeyPatch,
mock_repo_execute: AnyMock,
) -> None:
"""Test expected method calls for member get or create operation (created)."""
mock_repo_execute.return_value = MagicMock(scalar_one_or_none=MagicMock(return_value=None))
instance, created = await maybe_async(mock_repo.get_or_upsert(id="new-id"))
assert instance is not None
assert created is True
mock_repo.session.expunge.assert_not_called() # pyright: ignore[reportFunctionMemberAccess]
mock_repo.session.add.assert_called_once_with(instance) # pyright: ignore[reportFunctionMemberAccess]
mock_repo.session.refresh.assert_called_once_with(instance=instance, attribute_names=None, with_for_update=None) # pyright: ignore[reportFunctionMemberAccess]
async def test_sqlalchemy_repo_get_one_or_none_member(
mock_repo: SQLAlchemyAsyncRepository[Any],
monkeypatch: MonkeyPatch,
mock_repo_execute: AnyMock,
) -> None:
"""Test expected method calls for member get one or none operation (found)."""
mock_instance = MagicMock()
mock_repo_execute.return_value = MagicMock(scalar_one_or_none=MagicMock(return_value=mock_instance))
instance = await maybe_async(mock_repo.get_one_or_none(id="instance-id"))
assert instance is mock_instance
mock_repo.session.expunge.assert_not_called() # pyright: ignore[reportFunctionMemberAccess]
mock_repo.session.commit.assert_not_called() # pyright: ignore[reportFunctionMemberAccess]
async def test_sqlalchemy_repo_get_one_or_none_not_found(
mock_repo: SQLAlchemyAsyncRepository[Any],
monkeypatch: MonkeyPatch,
mock_repo_execute: AnyMock,
) -> None:
"""Test expected method calls for member get one or none operation (Not found)."""
mock_repo_execute.return_value = MagicMock(scalar_one_or_none=MagicMock(return_value=None))
instance = await maybe_async(mock_repo.get_one_or_none(id="instance-id"))
assert instance is None
mock_repo.session.expunge.assert_not_called() # pyright: ignore[reportFunctionMemberAccess]
mock_repo.session.commit.assert_not_called() # pyright: ignore[reportFunctionMemberAccess]
async def test_sqlalchemy_repo_list(
mock_repo: SQLAlchemyAsyncRepository[Any],
monkeypatch: MonkeyPatch,
mock_repo_execute: AnyMock,
) -> None:
"""Test expected method calls for list operation."""
mock_instances = [MagicMock(), MagicMock()]
mock_repo_execute.return_value = MagicMock(scalars=MagicMock(return_value=mock_instances))
instances = await maybe_async(mock_repo.list())
assert instances == mock_instances
mock_repo.session.expunge.assert_not_called() # pyright: ignore[reportFunctionMemberAccess]
mock_repo.session.commit.assert_not_called() # pyright: ignore[reportFunctionMemberAccess]
async def test_sqlalchemy_repo_list_and_count(mock_repo: SQLAlchemyAsyncRepository[Any], mocker: MockerFixture) -> None:
"""Test expected method calls for list operation."""
mock_instances = [MagicMock(), MagicMock()]
mock_count = len(mock_instances)
mocker.patch.object(mock_repo, "_list_and_count_basic", return_value=(mock_instances, mock_count))
mocker.patch.object(mock_repo, "_list_and_count_window", return_value=(mock_instances, mock_count))
instances, instance_count = await maybe_async(mock_repo.list_and_count())
assert instances == mock_instances
assert instance_count == mock_count
mock_repo.session.expunge.assert_not_called() # pyright: ignore[reportFunctionMemberAccess]
mock_repo.session.commit.assert_not_called() # pyright: ignore[reportFunctionMemberAccess]
async def test_sqlalchemy_repo_list_and_count_basic(
mock_repo: SQLAlchemyAsyncRepository[Any],
mocker: MockerFixture,
) -> None:
"""Test expected method calls for list operation."""
mock_instances = [MagicMock(), MagicMock()]
mock_count = len(mock_instances)
mocker.patch.object(mock_repo, "_list_and_count_basic", return_value=(mock_instances, mock_count))
mocker.patch.object(mock_repo, "_list_and_count_window", return_value=(mock_instances, mock_count))
instances, instance_count = await maybe_async(mock_repo.list_and_count(count_with_window_function=True))
assert instances == mock_instances
assert instance_count == mock_count
mock_repo.session.expunge.assert_not_called() # pyright: ignore[reportFunctionMemberAccess]
mock_repo.session.commit.assert_not_called() # pyright: ignore[reportFunctionMemberAccess]
async def test_sqlalchemy_repo_exists(
mock_repo: SQLAlchemyAsyncRepository[Any],
monkeypatch: MonkeyPatch,
mock_repo_execute: AnyMock,
mock_repo_count: AnyMock,
) -> None:
"""Test expected method calls for exists operation."""
mock_repo_count.return_value = 1
exists = await maybe_async(mock_repo.exists(id="my-id"))
assert exists
mock_repo.session.commit.assert_not_called() # pyright: ignore[reportFunctionMemberAccess]
async def test_sqlalchemy_repo_exists_with_filter(
mock_repo: SQLAlchemyAsyncRepository[Any],
monkeypatch: MonkeyPatch,
mock_repo_execute: AnyMock,
mock_repo_count: AnyMock,
) -> None:
"""Test expected method calls for exists operation. with filter argument"""
limit_filter = LimitOffset(limit=1, offset=0)
mock_repo_count.return_value = 1
exists = await maybe_async(mock_repo.exists(limit_filter, id="my-id"))
assert exists
mock_repo.session.commit.assert_not_called() # pyright: ignore[reportFunctionMemberAccess]
async def test_sqlalchemy_repo_count(
mock_repo: SQLAlchemyAsyncRepository[Any],
monkeypatch: MonkeyPatch,
mock_repo_execute: AnyMock,
mock_repo_count: AnyMock,
) -> None:
"""Test expected method calls for list operation."""
mock_repo_count.return_value = 1
count = await maybe_async(mock_repo.count())
assert count == 1
mock_repo.session.commit.assert_not_called() # pyright: ignore[reportFunctionMemberAccess]
async def test_sqlalchemy_repo_list_with_pagination(
mock_repo: SQLAlchemyAsyncRepository[Any],
monkeypatch: MonkeyPatch,
mock_repo_execute: AnyMock,
mocker: MockerFixture,
) -> None:
"""Test list operation with pagination."""
statement = MagicMock()
mock_repo_execute.return_value = MagicMock()
mocker.patch.object(LimitOffset, "append_to_statement", return_value=statement)
mock_repo_execute.return_value = MagicMock()
await maybe_async(mock_repo.list(LimitOffset(2, 3)))
mock_repo._execute.assert_called_with(statement, uniquify=False) # pyright: ignore[reportFunctionMemberAccess,reportPrivateUsage]
async def test_sqlalchemy_repo_list_with_before_after_filter(
mock_repo: SQLAlchemyAsyncRepository[Any],
mock_repo_execute: AnyMock,
mocker: MockerFixture,
) -> None:
"""Test list operation with BeforeAfter filter."""
statement = MagicMock()
mocker.patch.object(mock_repo.model_type.updated_at, "__lt__", return_value="lt")
mocker.patch.object(mock_repo.model_type.updated_at, "__gt__", return_value="gt")
mocker.patch.object(BeforeAfter, "append_to_statement", return_value=statement)
mock_repo_execute.return_value = MagicMock()
await maybe_async(mock_repo.list(BeforeAfter("updated_at", datetime.datetime.max, datetime.datetime.min)))
mock_repo._execute.assert_called_with(statement, uniquify=False) # pyright: ignore[reportFunctionMemberAccess,reportPrivateUsage]
async def test_sqlalchemy_repo_list_with_on_before_after_filter(
mock_repo: SQLAlchemyAsyncRepository[Any],
monkeypatch: MonkeyPatch,
mock_repo_execute: AnyMock,
mocker: MockerFixture,
) -> None:
"""Test list operation with BeforeAfter filter."""
statement = MagicMock()
mocker.patch.object(mock_repo.model_type.updated_at, "__le__", return_value="le")
mocker.patch.object(mock_repo.model_type.updated_at, "__ge__", return_value="ge")
mocker.patch.object(OnBeforeAfter, "append_to_statement", return_value=statement)
mock_repo_execute.return_value = MagicMock()
await maybe_async(mock_repo.list(OnBeforeAfter("updated_at", datetime.datetime.max, datetime.datetime.min)))
mock_repo._execute.assert_called_with(statement, uniquify=False) # pyright: ignore[reportFunctionMemberAccess,reportPrivateUsage]
async def test_sqlalchemy_repo_list_with_collection_filter(
mock_repo: SQLAlchemyAsyncRepository[Any],
monkeypatch: MonkeyPatch,
mock_repo_execute: AnyMock,
mocker: MockerFixture,
) -> None:
"""Test behavior of list operation given CollectionFilter."""
field_name = "id"
mock_repo_execute.return_value = MagicMock()
mock_repo.statement.where.return_value = mock_repo.statement # pyright: ignore[reportFunctionMemberAccess]
mocker.patch.object(CollectionFilter, "append_to_statement", return_value=mock_repo.statement)
values = [1, 2, 3]
await maybe_async(mock_repo.list(CollectionFilter(field_name, values)))
mock_repo._execute.assert_called_with(mock_repo.statement, uniquify=False) # pyright: ignore[reportFunctionMemberAccess,reportPrivateUsage]
async def test_sqlalchemy_repo_list_with_null_collection_filter(
mock_repo: SQLAlchemyAsyncRepository[Any],
monkeypatch: MonkeyPatch,
mock_repo_execute: AnyMock,
mocker: MockerFixture,
) -> None:
"""Test behavior of list operation given CollectionFilter."""
field_name = "id"
mock_repo_execute.return_value = MagicMock()
mock_repo.statement.where.return_value = mock_repo.statement # pyright: ignore[reportFunctionMemberAccess]
monkeypatch.setattr(
CollectionFilter,
"append_to_statement",
MagicMock(return_value=mock_repo.statement),
)
await maybe_async(mock_repo.list(CollectionFilter(field_name, None))) # pyright: ignore[reportFunctionMemberAccess,reportUnknownArgumentType]
mock_repo._execute.assert_called_with(mock_repo.statement, uniquify=False) # pyright: ignore[reportFunctionMemberAccess,reportPrivateUsage]
async def test_sqlalchemy_repo_empty_list_with_collection_filter(
mock_repo: SQLAlchemyAsyncRepository[Any],
monkeypatch: MonkeyPatch,
mock_repo_execute: AnyMock,
mocker: MockerFixture,
) -> None:
"""Test behavior of list operation given CollectionFilter."""
field_name = "id"
mock_repo_execute.return_value = MagicMock()
mock_repo.statement.where.return_value = mock_repo.statement # pyright: ignore[reportFunctionMemberAccess]
values: Collection[Any] = []
await maybe_async(mock_repo.list(CollectionFilter(field_name, values)))
monkeypatch.setattr(
CollectionFilter,
"append_to_statement",
MagicMock(return_value=mock_repo.statement),
)
await maybe_async(mock_repo.list(CollectionFilter(field_name, values)))
mock_repo._execute.assert_called_with(mock_repo.statement, uniquify=False) # pyright: ignore[reportFunctionMemberAccess,reportPrivateUsage]
async def test_sqlalchemy_repo_list_with_not_in_collection_filter(
mock_repo: SQLAlchemyAsyncRepository[Any],
monkeypatch: MonkeyPatch,
mock_repo_execute: AnyMock,
mocker: MockerFixture,
) -> None:
"""Test behavior of list operation given CollectionFilter."""
field_name = "id"
mock_repo_execute.return_value = MagicMock()
mock_repo.statement.where.return_value = mock_repo.statement # pyright: ignore[reportFunctionMemberAccess]
monkeypatch.setattr(
NotInCollectionFilter,
"append_to_statement",
MagicMock(return_value=mock_repo.statement),
)
values = [1, 2, 3]
await maybe_async(mock_repo.list(NotInCollectionFilter(field_name, values)))
mock_repo._execute.assert_called_with(mock_repo.statement, uniquify=False) # pyright: ignore[reportFunctionMemberAccess,reportPrivateUsage]
async def test_sqlalchemy_repo_list_with_null_not_in_collection_filter(
mock_repo: SQLAlchemyAsyncRepository[Any],
monkeypatch: MonkeyPatch,
mock_repo_execute: AnyMock,
mocker: MockerFixture,
) -> None:
"""Test behavior of list operation given CollectionFilter."""
field_name = "id"
mock_repo_execute.return_value = MagicMock()
mock_repo.statement.where.return_value = mock_repo.statement # pyright: ignore[reportFunctionMemberAccess]
monkeypatch.setattr(
NotInCollectionFilter,
"append_to_statement",
MagicMock(return_value=mock_repo.statement),
)
await maybe_async(mock_repo.list(NotInCollectionFilter[str](field_name, None))) # pyright: ignore[reportFunctionMemberAccess]
mock_repo._execute.assert_called_with(mock_repo.statement, uniquify=False) # pyright: ignore[reportFunctionMemberAccess,reportPrivateUsage]
async def test_sqlalchemy_repo_unknown_filter_type_raises(mock_repo: SQLAlchemyAsyncRepository[Any]) -> None:
"""Test that repo raises exception if list receives unknown filter type."""
with pytest.raises(RepositoryError):
await maybe_async(mock_repo.list("not a filter")) # type: ignore
async def test_sqlalchemy_repo_update(
mock_repo: SQLAlchemyAsyncRepository[Any],
monkeypatch: MonkeyPatch,
mocker: MockerFixture,
) -> None:
"""Test the sequence of repo calls for update operation."""
id_ = 3
mock_instance = MagicMock()
mocker.patch.object(mock_repo, "get_id_attribute_value", return_value=id_)
mocker.patch.object(mock_repo, "get")
mock_repo.session.merge.return_value = mock_instance # pyright: ignore[reportFunctionMemberAccess]
instance = await maybe_async(mock_repo.update(mock_instance))
assert instance is mock_instance
mock_repo.session.merge.assert_called_once_with(mock_instance, load=True) # pyright: ignore[reportFunctionMemberAccess]
mock_repo.session.flush.assert_called_once() # pyright: ignore[reportFunctionMemberAccess]
mock_repo.session.expunge.assert_not_called() # pyright: ignore[reportFunctionMemberAccess]
mock_repo.session.commit.assert_not_called() # pyright: ignore[reportFunctionMemberAccess]
mock_repo.session.refresh.assert_called_once_with( # pyright: ignore[reportFunctionMemberAccess]
instance=mock_instance,
attribute_names=None,
with_for_update=None,
)
async def test_sqlalchemy_repo_upsert(mock_repo: SQLAlchemyAsyncRepository[Any], mocker: MockerFixture) -> None:
"""Test the sequence of repo calls for upsert operation."""
mock_instance = MagicMock()
mock_repo.session.merge.return_value = mock_instance # pyright: ignore[reportFunctionMemberAccess]
instance = await maybe_async(mock_repo.upsert(mock_instance))
mocker.patch.object(mock_repo, "exists", return_value=True)
mocker.patch.object(mock_repo, "count", return_value=1)
assert instance is mock_instance
mock_repo.session.flush.assert_called_once() # pyright: ignore[reportFunctionMemberAccess]
mock_repo.session.expunge.assert_not_called() # pyright: ignore[reportFunctionMemberAccess]
mock_repo.session.commit.assert_not_called() # pyright: ignore[reportFunctionMemberAccess]
mock_repo.session.refresh.assert_called_once_with( # pyright: ignore[reportFunctionMemberAccess]
instance=mock_instance,
attribute_names=None,
with_for_update=None,
)
async def test_attach_to_session_unexpected_strategy_raises_valueerror(
mock_repo: SQLAlchemyAsyncRepository[Any],
) -> None:
"""Test to hit the error condition in SQLAlchemy._attach_to_session()."""
with pytest.raises(ValueError):
await maybe_async(mock_repo._attach_to_session(MagicMock(), strategy="t-rex")) # type:ignore[arg-type]
async def test_execute(mock_repo: SQLAlchemyAsyncRepository[Any]) -> None:
"""Simple test of the abstraction over `AsyncSession.execute()`"""
_ = await maybe_async(mock_repo._execute(mock_repo.statement)) # pyright: ignore[reportFunctionMemberAccess,reportPrivateUsage]
mock_repo.session.execute.assert_called_once_with(mock_repo.statement) # pyright: ignore[reportFunctionMemberAccess]
async def test_filter_in_collection_noop_if_collection_empty(mock_repo: SQLAlchemyAsyncRepository[Any]) -> None:
"""Ensures we don't filter on an empty collection."""
statement = MagicMock()
filter = CollectionFilter(field_name="id", values=[]) # type:ignore[var-annotated]
statement = filter.append_to_statement(statement, MagicMock()) # type:ignore[assignment]
mock_repo.statement.where.assert_not_called() # pyright: ignore[reportFunctionMemberAccess]
@pytest.mark.parametrize(
("before", "after"),
[
(datetime.datetime.max, datetime.datetime.min),
(None, datetime.datetime.min),
(datetime.datetime.max, None),
],
)
async def test_filter_on_datetime_field(
before: datetime.datetime,
after: datetime.datetime,
mock_repo: SQLAlchemyAsyncRepository[Any],
mocker: MockerFixture,
monkeypatch: MonkeyPatch,
) -> None:
"""Test through branches of _filter_on_datetime_field()"""
field_mock = MagicMock(return_value=before or after)
statement = MagicMock()
field_mock.__gt__ = field_mock.__lt__ = lambda self, other: True # pyright: ignore[reportFunctionMemberAccess,reportUnknownLambdaType]
monkeypatch.setattr(
BeforeAfter,
"append_to_statement",
MagicMock(return_value=mock_repo.statement),
)
filter = BeforeAfter(field_name="updated_at", before=before, after=after)
statement = filter.append_to_statement(statement, MagicMock(return_value=before or after)) # type:ignore[assignment]
mock_repo.model_type.updated_at = field_mock
mock_repo.statement.where.assert_not_called() # pyright: ignore[reportFunctionMemberAccess]
class MyModel(BaseModel):
name: str
age: int
class MyStruct(Struct):
name: str
age: int
def test_is_pydantic_model() -> None:
pydantic_model = MyModel(name="Pydantic John", age=30)
msgspec_struct = MyStruct(name="Msgspec Joe", age=30)
old_dict = {"name": "Old Greg", "age": 30}
int_value = 1
assert is_pydantic_model(pydantic_model)
assert not is_pydantic_model(msgspec_struct)
assert not is_pydantic_model(old_dict)
assert not is_pydantic_model(int_value)
def test_is_msgspec_struct() -> None:
pydantic_model = MyModel(name="Pydantic John", age=30)
msgspec_struct = MyStruct(name="Msgspec Joe", age=30)
old_dict = {"name": "Old Greg", "age": 30}
assert not is_msgspec_struct(pydantic_model)
assert is_msgspec_struct(msgspec_struct)
assert not is_msgspec_struct(old_dict)
def test_is_schema() -> None:
pydantic_model = MyModel(name="Pydantic John", age=30)
msgspec_struct = MyStruct(name="Msgspec Joe", age=30)
old_dict = {"name": "Old Greg", "age": 30}
int_value = 1
assert is_schema(pydantic_model)
assert is_schema(msgspec_struct)
assert not is_schema(old_dict)
assert not is_schema(int_value)
assert is_schema_with_field(pydantic_model, "name")
assert not is_schema_with_field(msgspec_struct, "name2")
assert is_schema_without_field(pydantic_model, "name2")
assert not is_schema_without_field(msgspec_struct, "name")
def test_is_schema_or_dict() -> None:
pydantic_model = MyModel(name="Pydantic John", age=30)
msgspec_struct = MyStruct(name="Msgspec Joe", age=30)
old_dict = {"name": "Old Greg", "age": 30}
int_value = 1
assert is_schema_or_dict(pydantic_model)
assert is_schema_or_dict(msgspec_struct)
assert is_schema_or_dict(old_dict)
assert not is_schema_or_dict(int_value)
assert is_schema_or_dict_with_field(pydantic_model, "name")
assert not is_schema_or_dict_with_field(msgspec_struct, "name2")
assert is_schema_or_dict_without_field(pydantic_model, "name2")
assert not is_schema_or_dict_without_field(msgspec_struct, "name")
python-advanced-alchemy-0.34.0/tests/unit/test_utils/ 0000775 0000000 0000000 00000000000 14763441450 0022632 5 ustar 00root root 0000000 0000000 python-advanced-alchemy-0.34.0/tests/unit/test_utils/__init__.py 0000664 0000000 0000000 00000000000 14763441450 0024731 0 ustar 00root root 0000000 0000000 python-advanced-alchemy-0.34.0/tests/unit/test_utils/test_module_loader.py 0000664 0000000 0000000 00000003417 14763441450 0027063 0 ustar 00root root 0000000 0000000 from pathlib import Path
import pytest
from _pytest.monkeypatch import MonkeyPatch
from advanced_alchemy.config import GenericAlembicConfig
from advanced_alchemy.utils.module_loader import import_string, module_to_os_path
def test_import_string() -> None:
cls = import_string("advanced_alchemy.config.GenericAlembicConfig")
assert type(cls) is type(GenericAlembicConfig)
with pytest.raises(ImportError):
_ = import_string("GenericAlembicConfigNew")
_ = import_string("advanced_alchemy.config.GenericAlembicConfigNew")
_ = import_string("imaginary_module_that_doesnt_exist.Config") # a random nonexistent class
def test_module_path(tmp_path: Path, monkeypatch: MonkeyPatch) -> None:
the_path = module_to_os_path("advanced_alchemy.config")
assert the_path.exists()
tmp_path.joinpath("simple_module.py").write_text("x = 'foo'")
monkeypatch.syspath_prepend(tmp_path) # pyright: ignore[reportUnknownMemberType]
os_path = module_to_os_path("simple_module")
assert os_path == Path(tmp_path)
with pytest.raises(
(
ImportError,
TypeError,
)
):
_ = module_to_os_path("advanced_alchemy.config.GenericAlembicConfig")
_ = module_to_os_path("advanced_alchemy.config.GenericAlembicConfig.extra.module")
def test_import_non_existing_attribute_raises() -> None:
with pytest.raises(ImportError):
import_string("advanced_alchemy.config.SuperGenericAlembicConfig")
def test_import_string_cached(tmp_path: Path, monkeypatch: MonkeyPatch) -> None:
tmp_path.joinpath("testmodule.py").write_text("x = 'foo'")
monkeypatch.chdir(tmp_path)
monkeypatch.syspath_prepend(tmp_path) # pyright: ignore[reportUnknownMemberType]
assert import_string("testmodule.x") == "foo"
python-advanced-alchemy-0.34.0/tests/unit/test_utils/test_portals.py 0000664 0000000 0000000 00000003507 14763441450 0025734 0 ustar 00root root 0000000 0000000 import asyncio
from collections.abc import Coroutine
from typing import Any, Callable
import pytest
from advanced_alchemy.utils.portals import Portal, PortalProvider
@pytest.fixture
async def async_function() -> Callable[[int], Coroutine[Any, Any, int]]:
async def sample_async_function(x: int) -> int:
await asyncio.sleep(0.1)
return x * 2
return sample_async_function
def test_portal_provider_singleton() -> None:
provider1 = PortalProvider()
provider2 = PortalProvider()
assert provider1 is provider2, "PortalProvider is not a singleton"
def test_portal_provider_start_stop() -> None:
provider = PortalProvider()
provider.start()
assert provider.is_running, "Provider should be running after start()"
assert provider.is_ready, "Provider should be ready after start()"
provider.stop()
assert not provider.is_running, "Provider should not be running after stop()"
def test_portal_provider_call(async_function: Callable[[int], Coroutine[Any, Any, int]]) -> None:
provider = PortalProvider()
provider.start()
result = provider.call(async_function, 5)
assert result == 10, "The result of the async function should be 10"
provider.stop()
def test_portal_provider_call_exception() -> None:
async def faulty_async_function() -> None:
raise ValueError("Intentional error")
provider = PortalProvider()
provider.start()
with pytest.raises(ValueError, match="Intentional error"):
provider.call(faulty_async_function)
provider.stop()
def test_portal_call(async_function: Callable[[int], Coroutine[Any, Any, int]]) -> None:
provider = PortalProvider()
portal = Portal(provider)
provider.start()
result = portal.call(async_function, 3)
assert result == 6, "The result of the async function should be 6"
provider.stop()
python-advanced-alchemy-0.34.0/tests/unit/test_utils/test_text.py 0000664 0000000 0000000 00000000742 14763441450 0025232 0 ustar 00root root 0000000 0000000 from advanced_alchemy.utils.text import check_email, slugify
def test_check_email() -> None:
valid_email = "test@test.com"
valid_email_upper = "TEST@TEST.COM"
assert check_email(valid_email) == valid_email
assert check_email(valid_email_upper) == valid_email
def test_slugify() -> None:
string = "This is a Test!"
expected_slug = "this-is-a-test"
assert slugify(string) == expected_slug
assert slugify(string, separator="_") == "this_is_a_test"
python-advanced-alchemy-0.34.0/tools/ 0000775 0000000 0000000 00000000000 14763441450 0017452 5 ustar 00root root 0000000 0000000 python-advanced-alchemy-0.34.0/tools/__init__.py 0000664 0000000 0000000 00000000000 14763441450 0021551 0 ustar 00root root 0000000 0000000 python-advanced-alchemy-0.34.0/tools/build_docs.py 0000664 0000000 0000000 00000005667 14763441450 0022151 0 ustar 00root root 0000000 0000000 from __future__ import annotations
import argparse
import importlib.metadata
import json
import os
import shutil
import subprocess
from collections.abc import Generator
from contextlib import contextmanager
from pathlib import Path
from typing import TYPE_CHECKING, TypedDict, cast
if TYPE_CHECKING:
from collections.abc import Generator
REDIRECT_TEMPLATE = """
Page Redirection
You are being redirected. If this does not work, click this link
"""
parser = argparse.ArgumentParser()
parser.add_argument("--version", required=False)
parser.add_argument("output")
class VersionSpec(TypedDict):
versions: list[str]
latest: str
@contextmanager
def checkout(branch: str, skip: bool = False) -> Generator[None]:
if not skip:
subprocess.run(["git", "checkout", branch], check=True) # noqa: S603, S607
yield
if not skip:
subprocess.run(["git", "checkout", "-"], check=True) # noqa: S603, S607
def load_version_spec() -> VersionSpec:
versions_file = Path("docs/_static/versions.json")
if versions_file.exists():
return cast("VersionSpec", json.loads(versions_file.read_text()))
return {"versions": [], "latest": ""}
def build(output_dir: str, version: str | None) -> None:
if version is None:
version = importlib.metadata.version("advanced_alchemy").rsplit(".")[0]
else:
os.environ["_ADVANCED_ALCHEMY_DOCS_BUILD_VERSION"] = version
subprocess.run(["make", "docs"], check=True) # noqa: S603, S607
Path(output_dir).mkdir(exist_ok=True, parents=True)
Path(output_dir).joinpath(".nojekyll").touch(exist_ok=True)
version_spec = load_version_spec()
is_latest = version == version_spec["latest"]
docs_src_path = Path("docs/_build/html")
Path(output_dir).joinpath("index.html").write_text(REDIRECT_TEMPLATE.format(target="latest"))
if is_latest:
shutil.copytree(docs_src_path, Path(output_dir) / "latest", dirs_exist_ok=True)
shutil.copytree(docs_src_path, Path(output_dir) / version, dirs_exist_ok=True)
# copy existing versions into our output dir to preserve them when cleaning the branch
with checkout("gh-pages", skip=True):
for other_version in [*version_spec["versions"], "latest"]:
other_version_path = Path(other_version)
other_version_target_path = Path(output_dir) / other_version
if other_version_path.exists() and not other_version_target_path.exists():
shutil.copytree(other_version_path, other_version_target_path)
def main() -> None:
args = parser.parse_args()
build(output_dir=args.output, version=args.version)
if __name__ == "__main__":
main()
python-advanced-alchemy-0.34.0/tools/convert_docs.sh 0000775 0000000 0000000 00000000272 14763441450 0022502 0 ustar 00root root 0000000 0000000 #!/bin/bash
CHANGELOG=docs/changelog.rst
filename="${CHANGELOG%.*}"
echo "Converting $CHANGELOG to $filename.md"
pandoc --wrap=preserve $CHANGELOG -f rst -t markdown -o "$filename".md
python-advanced-alchemy-0.34.0/tools/prepare_release.py 0000664 0000000 0000000 00000036011 14763441450 0023163 0 ustar 00root root 0000000 0000000 import asyncio
import contextlib
import datetime
import os
import pathlib
import re
import shutil
import subprocess
import sys
from collections import defaultdict
from collections.abc import Generator
from dataclasses import dataclass
from typing import Optional
import click
import httpx
import msgspec
_polar = "[Polar.sh](https://polar.sh/litestar-org)"
_open_collective = "[OpenCollective](https://opencollective.com/litestar)"
_github_sponsors = "[GitHub Sponsors](https://github.com/sponsors/litestar-org/)"
class PullRequest(msgspec.Struct, kw_only=True):
title: str
number: int
body: str
created_at: str
user: "RepoUser"
merge_commit_sha: Optional[str] = None
class Comp(msgspec.Struct):
sha: str
class _Commit(msgspec.Struct):
message: str
url: str
commit: _Commit
class RepoUser(msgspec.Struct):
login: str
id: int
type: str
@dataclass
class PRInfo:
url: str
title: str
clean_title: str
cc_type: str
number: int
closes: list[int]
created_at: datetime.datetime
description: str
user: RepoUser
@dataclass
class ReleaseInfo:
base: str
release_tag: str
version: str
pull_requests: dict[str, list[PRInfo]]
first_time_prs: list[PRInfo]
@property
def compare_url(self) -> str:
return f"https://github.com/litestar-org/advanced-alchemy/compare/{self.base}...{self.release_tag}"
def _pr_number_from_commit(comp: Comp) -> Optional[int]:
# this is an ugly hack, but it appears to actually be the most reliably way to
# extract the most "reliable" way to extract the info we want from GH ยฏ\_(ใ)_/ยฏ
message_head = comp.commit.message.split("\n\n")[0]
match = re.search(r"\(#(\d+)\)$", message_head)
if not match:
print(f"Could not find PR number in {message_head}") # noqa: T201
return int(match[1]) if match else None
class _Thing:
def __init__(self, *, gh_token: str, base: str, release_branch: str, tag: str, version: str) -> None:
self._gh_token = gh_token
self._base = base
self._new_release_tag = tag
self._release_branch = release_branch
self._new_release_version = version
self._base_client = httpx.AsyncClient(
headers={
"Authorization": f"Bearer {gh_token}",
}
)
self._api_client = httpx.AsyncClient(
headers={
**self._base_client.headers,
"X-GitHub-Api-Version": "2022-11-28",
"Accept": "application/vnd.github+json",
},
base_url="https://api.github.com/repos/litestar-org/advanced-alchemy/",
)
async def get_closing_issues_references(self, pr_number: int) -> list[int]:
graphql_query = """{
repository(owner: "litestar-org", name: "advanced-alchemy") {
pullRequest(number: %d) {
id
closingIssuesReferences (first: 10) {
edges {
node {
number
}
}
}
}
}
}"""
query = graphql_query % (pr_number,)
res = await self._base_client.post("https://api.github.com/graphql", json={"query": query})
if res.is_client_error:
return []
data = res.json()
return [
edge["node"]["number"]
for edge in data["data"]["repository"]["pullRequest"]["closingIssuesReferences"]["edges"]
]
async def _get_pr_info_for_pr(self, number: int) -> Optional[PRInfo]:
res = await self._api_client.get(f"/pulls/{number}")
if res.is_client_error:
click.secho(
f"Could not get PR info for {number}. Fetch request returned a status of {res.status_code}",
fg="yellow",
)
return None
res.raise_for_status()
data = res.json()
if not data["body"]:
data["body"] = ""
if not data:
return None
pr = msgspec.convert(data, type=PullRequest)
cc_prefix, clean_title = pr.title.split(":", maxsplit=1)
cc_type = cc_prefix.split("(", maxsplit=1)[0].lower()
closes_issues = await self.get_closing_issues_references(pr_number=pr.number)
return PRInfo(
number=pr.number,
cc_type=cc_type,
clean_title=clean_title.strip(),
url=f"https://github.com/litestar-org/advanced-alchemy/pull/{pr.number}",
closes=closes_issues,
title=pr.title,
created_at=datetime.datetime.strptime(pr.created_at, "%Y-%m-%dT%H:%M:%S%z"),
description=pr.body,
user=pr.user,
)
async def get_prs(self) -> dict[str, list[PRInfo]]:
res = await self._api_client.get(f"/compare/{self._base}...{self._release_branch}")
res.raise_for_status()
compares = msgspec.convert(res.json()["commits"], list[Comp])
pr_numbers = list(filter(None, (_pr_number_from_commit(c) for c in compares)))
pulls = await asyncio.gather(*map(self._get_pr_info_for_pr, pr_numbers))
prs: dict[str, list[PRInfo]] = defaultdict(list)
for pr in pulls:
if not pr:
continue
if pr.user.type != "Bot":
prs[pr.cc_type].append(pr)
return prs
async def _get_first_time_contributions(self, prs: dict[str, list[PRInfo]]) -> list[PRInfo]:
# there's probably a way to peel this information out of the GraphQL API but
# this was easier to implement, and it works well enough ยฏ\_(ใ)_/ยฏ
# the logic is: if we don't find a commit to the main branch, dated before the
# first commit within this release, it's the user's first contribution
prs_by_user_login: dict[str, list[PRInfo]] = defaultdict(list)
for pr in [p for type_prs in prs.values() for p in type_prs]:
prs_by_user_login[pr.user.login].append(pr)
first_prs: list[PRInfo] = []
async def is_user_first_commit(user_login: str) -> None:
first_pr = sorted(prs_by_user_login[user_login], key=lambda p: p.created_at)[0]
res = await self._api_client.get(
"/commits",
params={
"author": user_login,
"sha": "main",
"until": first_pr.created_at.isoformat(),
"per_page": 1,
},
)
res.raise_for_status()
if len(res.json()) == 0:
first_prs.append(first_pr)
await asyncio.gather(*map(is_user_first_commit, prs_by_user_login.keys()))
return first_prs
async def get_release_info(self) -> ReleaseInfo:
prs = await self.get_prs()
first_time_contributors = await self._get_first_time_contributions(prs)
return ReleaseInfo(
pull_requests=prs,
first_time_prs=first_time_contributors,
base=self._base,
release_tag=self._new_release_tag,
version=self._new_release_version,
)
async def create_draft_release(self, body: str, release_branch: str) -> str:
res = await self._api_client.post(
"/releases",
json={
"tag_name": self._new_release_tag,
"target_commitish": release_branch,
"name": self._new_release_tag,
"draft": True,
"body": body,
},
)
res.raise_for_status()
return res.json()["html_url"] # type: ignore[no-any-return]
class GHReleaseWriter:
def __init__(self) -> None:
self.text = ""
def add_line(self, line: str) -> None:
self.text += line + "\n"
def add_pr_descriptions(self, infos: list[PRInfo]) -> None:
for info in infos:
self.add_line(f"* {info.title} by @{info.user.login} in {info.url}")
class ChangelogEntryWriter:
def __init__(self) -> None:
self.text = ""
self._level = 0
self._indent = " "
self._cc_type_map = {"fix": "bugfix", "feat": "feature"}
def add_line(self, line: str) -> None:
self.text += (self._indent * self._level) + line + "\n"
def add_change(self, pr: PRInfo) -> None:
with self.directive(
"change",
arg=pr.clean_title,
type=self._cc_type_map.get(pr.cc_type, "misc"),
pr=str(pr.number),
issue=", ".join(map(str, pr.closes)),
):
self.add_line("")
for line in pr.description.splitlines():
self.add_line(line)
@contextlib.contextmanager
def directive(self, name: str, arg: Optional[str] = None, **options: str) -> Generator[None, None, None]:
self.add_line(f".. {name}:: {arg or ''}")
self._level += 1
for key, value in options.items():
if value:
self.add_line(f":{key}: {value}")
yield
self._level -= 1
self.add_line("")
def build_gh_release_notes(release_info: ReleaseInfo) -> str:
# this is for the most part just recreating GitHub's autogenerated release notes
# but with three important differences:
# 1. PRs are sorted into categories
# 2. The conventional commit type is stripped from the title
# 3. It works with our release branch process. GitHub doesn't pick up (all) commits
# made there depending on how things were merged
doc = GHReleaseWriter()
doc.add_line("## Sponsors ๐")
doc.add_line(f"- A huge 'Thank you!' to all sponsors across {_polar}, {_open_collective} and {_github_sponsors}!")
doc.add_line("## What's changed")
if release_info.first_time_prs:
doc.add_line("\n## New contributors ๐")
for pr in release_info.first_time_prs:
doc.add_line(f"* @{pr.user.login} made their first contribution in {pr.url}")
if fixes := release_info.pull_requests.get("fix"):
doc.add_line("\n### Bugfixes ๐")
doc.add_pr_descriptions(fixes)
if features := release_info.pull_requests.get("feat"):
doc.add_line("\nNew features ๐")
doc.add_pr_descriptions(features)
ignore_sections = {"fix", "feat", "ci", "chore"}
if other := [pr for k, prs in release_info.pull_requests.items() if k not in ignore_sections for pr in prs]:
doc.add_line("\n")
doc.add_line("### Other changes")
doc.add_pr_descriptions(other)
doc.add_line("\n**Full Changelog**")
doc.add_line(release_info.compare_url)
return doc.text
def build_changelog_entry(release_info: ReleaseInfo, interactive: bool = False) -> str:
doc = ChangelogEntryWriter()
with doc.directive("changelog", release_info.version):
doc.add_line(f":date: {datetime.datetime.now(tz=datetime.timezone.utc).date().isoformat()}")
doc.add_line("")
change_types = {"fix", "feat"}
for prs in release_info.pull_requests.values():
for pr in prs:
cc_type = pr.cc_type
if cc_type in change_types or (interactive and click.confirm(f"Include PR #{pr.number} {pr.title!r}?")):
doc.add_change(pr)
else:
click.secho(f"Ignoring change with type {cc_type}", fg="yellow")
return doc.text
def _get_gh_token() -> str:
if gh_token := os.getenv("GH_TOKEN"):
click.secho("Using GitHub token from env", fg="blue")
return gh_token
gh_executable = shutil.which("gh")
if not gh_executable:
click.secho("GitHub CLI not installed", fg="yellow")
else:
click.secho("Using GitHub CLI to obtain GitHub token", fg="blue")
proc = subprocess.run([gh_executable, "auth", "token"], check=True, capture_output=True, text=True) # noqa: S603
if out := (proc.stdout or "").strip():
return out
click.secho("Could not find any GitHub token", fg="red")
sys.exit(1)
def _get_latest_tag() -> str:
click.secho("Using latest tag", fg="blue")
return subprocess.run( # noqa: S602
"git tag --sort=taggerdate | tail -1", # noqa: S607
check=True,
capture_output=True,
text=True,
shell=True,
).stdout.strip()
def _write_changelog_entry(changelog_entry: str) -> None:
changelog_path = pathlib.Path("docs/changelog.rst")
changelog_lines = changelog_path.read_text().splitlines()
line_no = next(
(i for i, line in enumerate(changelog_lines) if line.startswith(".. changelog::")),
None,
)
if not line_no:
msg = "Changelog start not found"
raise ValueError(msg)
changelog_lines[line_no:line_no] = changelog_entry.splitlines()
changelog_path.write_text("\n".join(changelog_lines))
def update_pyproject_version(new_version: str) -> None:
# can't use tomli-w / tomllib for this as is messes up the formatting
pyproject = pathlib.Path("pyproject.toml")
content = pyproject.read_text()
content = re.sub(r'(\nversion ?= ?")\d+\.\d+\.\d+("\s*\n)', rf"\g<1>{new_version}\g<2>", content)
pyproject.write_text(content)
@click.command()
@click.argument("version")
@click.option("--base", help="Previous release tag. Defaults to the latest tag")
@click.option("--branch", help="Release branch", default="main")
@click.option(
"--gh-token",
help="GitHub token. If not provided, read from the GH_TOKEN env variable. "
"Alternatively, if the GitHub CLI is installed, it will be used to fetch a token",
)
@click.option(
"-i",
"--interactive",
is_flag=True,
help="Interactively decide which commits should be included in the release notes",
default=False,
)
@click.option("-c", "--create-draft-release", is_flag=True, help="Create draft release on GitHub")
def cli(
base: Optional[str],
branch: str,
version: str,
gh_token: Optional[str],
interactive: bool,
create_draft_release: bool,
) -> None:
if gh_token is None:
gh_token = _get_gh_token()
if base is None:
base = _get_latest_tag()
if not re.match(r"\d+\.\d+\.\d+", version):
click.secho(f"Invalid version: {version!r}")
sys.exit(1)
new_tag = f"v{version}"
click.secho(f"Creating release notes for tag {new_tag}, using {base} as a base", fg="cyan")
thing = _Thing(gh_token=gh_token, base=base, release_branch=branch, tag=new_tag, version=version)
loop = asyncio.new_event_loop()
release_info = loop.run_until_complete(thing.get_release_info())
gh_release_notes = build_gh_release_notes(release_info)
changelog_entry = build_changelog_entry(release_info, interactive=interactive)
click.secho("Writing changelog entry", fg="green")
_write_changelog_entry(changelog_entry)
if create_draft_release:
click.secho("Creating draft release", fg="blue")
release_url = loop.run_until_complete(thing.create_draft_release(body=gh_release_notes, release_branch=branch))
click.echo(f"Draft release available at: {release_url}")
else:
click.echo(gh_release_notes)
loop.close()
if __name__ == "__main__":
cli()
python-advanced-alchemy-0.34.0/tools/pypi_readme.py 0000664 0000000 0000000 00000001640 14763441450 0022323 0 ustar 00root root 0000000 0000000 import re
from pathlib import Path
PYPI_BANNER = ''
def generate_pypi_readme() -> None:
source = Path("README.md").read_text(encoding="utf-8")
output = re.sub(r"[\w\W]*", PYPI_BANNER, source)
output = re.sub(r"[\w\W]*", "", output)
output = re.sub(r"", "", output)
# ensure a newline here so the other pre-commit hooks don't complain
output = output.strip() + "\n"
Path("docs/PYPI_README.md").write_text(output, encoding="utf-8")
if __name__ == "__main__":
generate_pypi_readme()
python-advanced-alchemy-0.34.0/tools/sphinx_ext/ 0000775 0000000 0000000 00000000000 14763441450 0021643 5 ustar 00root root 0000000 0000000 python-advanced-alchemy-0.34.0/tools/sphinx_ext/__init__.py 0000664 0000000 0000000 00000000711 14763441450 0023753 0 ustar 00root root 0000000 0000000 from __future__ import annotations
from typing import TYPE_CHECKING
from tools.sphinx_ext import changelog, missing_references
if TYPE_CHECKING:
from sphinx.application import Sphinx
def setup(app: Sphinx) -> dict[str, bool]:
ext_config = {}
ext_config.update(missing_references.setup(app)) # type: ignore[arg-type]
ext_config.update(changelog.setup(app)) # type: ignore[arg-type]
return ext_config # type: ignore[return-value]
python-advanced-alchemy-0.34.0/tools/sphinx_ext/changelog.py 0000664 0000000 0000000 00000014043 14763441450 0024146 0 ustar 00root root 0000000 0000000 from collections.abc import Callable
from functools import partial
from typing import TYPE_CHECKING, Any, ClassVar, Literal, Optional, Union, cast
from docutils import nodes
from docutils.parsers.rst import directives
from sphinx.application import Sphinx
from sphinx.util.docutils import SphinxDirective
from sphinx.util.nodes import clean_astext
if TYPE_CHECKING:
from sphinx.domains.std import StandardDomain
_GH_BASE_URL = "https://github.com/litestar-org/advanced-alchemy"
def _parse_gh_reference(raw: str, type_: Literal["issues", "pull"]) -> list[str]:
return [f"{_GH_BASE_URL}/{type_}/{r.strip()}" for r in raw.split(" ") if r]
class Change(nodes.General, nodes.Element):
"""A change node for the changelog."""
class ChangeDirective(SphinxDirective):
"""A directive for the changelog."""
required_arguments = 1
has_content = True
final_argument_whitespace = True
option_spec: ClassVar[Optional[dict[str, Callable[[str], Any]]]] = {
"type": partial(directives.choice, values=("feature", "bugfix", "misc")),
"breaking": directives.flag,
"issue": directives.unchanged,
"pr": directives.unchanged,
}
def run(self) -> list[nodes.Node]:
"""Run the directive.
Returns:
A list of nodes.
"""
self.assert_has_content()
change_type = self.options.get("type", "misc").lower()
title = self.arguments[0]
change_node = nodes.container("\n".join(self.content))
change_node.attributes["classes"].append("changelog-change")
self.state.nested_parse(self.content, self.content_offset, change_node) # pyright: ignore[reportUnknownMemberType]
reference_links = [
*_parse_gh_reference(self.options.get("issue", ""), "issues"),
*_parse_gh_reference(self.options.get("pr", ""), "pull"),
]
references_paragraph = nodes.paragraph()
references_paragraph.append(nodes.Text("References: "))
for i, link in enumerate(reference_links, 1):
link_node = nodes.inline()
link_node += nodes.reference("", link, refuri=link, external=True)
references_paragraph.append(link_node)
if i != len(reference_links):
references_paragraph.append(nodes.Text(", "))
change_node.append(references_paragraph)
return [
Change(
"",
change_node,
title=self.state.inliner.parse(title, 0, self.state.memo, change_node)[0],
change_type=change_type,
breaking="breaking" in self.options,
),
]
class ChangelogDirective(SphinxDirective):
required_arguments = 1
has_content = True
option_spec = {"date": directives.unchanged}
def run(self) -> list[nodes.Node]:
self.assert_has_content()
version = self.arguments[0]
release_date = self.options.get("date")
changelog_node = nodes.section()
changelog_node += nodes.title(version, version)
section_target = nodes.target("", "", ids=[version])
if release_date:
changelog_node += nodes.strong("", "Released: ")
changelog_node += nodes.Text(release_date)
self.state.nested_parse(self.content, self.content_offset, changelog_node) # pyright: ignore[reportUnknownMemberType]
domain = cast("StandardDomain", self.env.get_domain("std"))
change_group_lists = {
"feature": nodes.definition_list(),
"bugfix": nodes.definition_list(),
"misc": nodes.definition_list(),
}
change_group_titles = {"bugfix": "Bugfixes", "feature": "Features", "misc": "Other changes"}
nodes_to_remove = []
for _i, change_node in enumerate(changelog_node.findall(Change)):
change_type = change_node.attributes["change_type"]
title = change_node.attributes["title"]
list_item = nodes.definition_list_item("")
term = nodes.term()
term += title
target_id = f"{version}-{nodes.fully_normalize_name(title[0].astext())}"
term += nodes.reference(
"#",
"#",
refuri=f"#{target_id}",
internal=True,
classes=["headerlink"],
ids=[target_id],
)
reference_id = f"change:{target_id}"
domain.anonlabels[reference_id] = self.env.docname, target_id
domain.labels[reference_id] = (
self.env.docname,
target_id,
f"Change: {clean_astext(title[0])}",
)
if change_node.attributes["breaking"]:
breaking_notice = nodes.inline("breaking", "breaking")
breaking_notice.attributes["classes"].append("breaking-change")
term += breaking_notice
list_item += [term]
list_item += nodes.definition("", change_node.children[0])
nodes_to_remove.append(change_node) # pyright: ignore[reportUnknownMemberType]
change_group_lists[change_type] += list_item
for node in nodes_to_remove: # pyright: ignore[reportUnknownVariableType]
changelog_node.remove(node) # pyright: ignore[reportUnknownArgumentType]
for change_group_type, change_group_list in change_group_lists.items():
if not change_group_list.children:
continue
section = nodes.section()
target_id = f"{version}-{change_group_type}"
target_node = nodes.target("", "", ids=[target_id])
title = change_group_titles[change_group_type]
section += nodes.title(title, title)
section += change_group_list
changelog_node += [target_node, section]
return [section_target, changelog_node]
def setup(app: Sphinx) -> dict[str, Union[str, bool]]:
app.add_directive("changelog", ChangelogDirective)
app.add_directive("change", ChangeDirective)
return {"parallel_read_safe": True, "parallel_write_safe": True}
python-advanced-alchemy-0.34.0/tools/sphinx_ext/missing_references.py 0000664 0000000 0000000 00000026231 14763441450 0026073 0 ustar 00root root 0000000 0000000 """Sphinx extension for changelog and change directives."""
# ruff: noqa: FIX002 PLR0911 ARG001
from __future__ import annotations
import ast
import importlib
import inspect
from pathlib import Path
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from collections.abc import Generator
from docutils.nodes import Element, Node
from sphinx.addnodes import pending_xref
from sphinx.application import Sphinx
from sphinx.environment import BuildEnvironment
def _get_module_ast(source_file: str) -> ast.AST | ast.Module:
return ast.parse(Path(source_file).read_text(encoding="utf-8"))
def _get_import_nodes(nodes: list[ast.stmt]) -> Generator[ast.Import | ast.ImportFrom, None, None]:
for node in nodes:
if isinstance(node, (ast.Import, ast.ImportFrom)):
yield node
elif isinstance(node, ast.If) and getattr(node.test, "id", None) == "TYPE_CHECKING":
yield from _get_import_nodes(node.body)
def get_module_global_imports(module_import_path: str, reference_target_source_obj: str) -> set[str]:
"""Return a set of names that are imported globally within the containing module of ``reference_target_source_obj``,
including imports in ``if TYPE_CHECKING`` blocks.
"""
module = importlib.import_module(module_import_path)
obj = getattr(module, reference_target_source_obj)
tree = _get_module_ast(inspect.getsourcefile(obj)) # type: ignore[arg-type] # pyright: ignore[reportArgumentType]
import_nodes = _get_import_nodes(tree.body) # type: ignore[attr-defined]
return {path.asname or path.name for import_node in import_nodes for path in import_node.names}
def _resolve_local_reference(module_path: str, target: str) -> bool:
"""Attempt to resolve a reference within the local codebase.
Args:
module_path: The module path (e.g., 'advanced_alchemy.base')
target: The target class/attribute name
Returns:
bool: True if reference exists, False otherwise
"""
try:
module = importlib.import_module(module_path)
if "." in target:
# Handle fully qualified names (e.g., advanced_alchemy.base.BasicAttributes)
parts = target.split(".")
current = module
for part in parts:
current = getattr(current, part)
return True
return hasattr(module, target)
except (ImportError, AttributeError):
return False
def _resolve_sqlalchemy_reference(target: str) -> bool:
"""Attempt to resolve SQLAlchemy references.
Args:
target: The target class/attribute name
Returns:
bool: True if reference exists, False otherwise
"""
try:
import sqlalchemy
if "." in target:
# Handle nested attributes (e.g., Connection.in_transaction)
obj_name, attr_name = target.rsplit(".", 1)
obj = getattr(sqlalchemy, obj_name)
return hasattr(obj, attr_name)
return hasattr(sqlalchemy, target)
except (ImportError, AttributeError):
return False
def _resolve_litestar_reference(target: str) -> bool:
"""Attempt to resolve Litestar references.
Args:
target: The target class/attribute name
Returns:
bool: True if reference exists, False otherwise
"""
try:
import litestar
from litestar import datastructures
# Handle common Litestar classes
if target in {"Litestar", "State", "Scope", "Message", "AppConfig", "BeforeMessageSendHookHandler"}:
return True
if target.startswith("datastructures."):
_, attr = target.split(".")
return hasattr(datastructures, attr)
if target.startswith("config.app."):
return True # These are valid Litestar config references
return hasattr(litestar, target)
except ImportError:
return False
def _resolve_sqlalchemy_type_reference(target: str) -> bool:
"""Attempt to resolve SQLAlchemy type references.
Args:
target: The target class/attribute name
Returns:
bool: True if reference exists, False otherwise
"""
try:
from sqlalchemy import types as sa_types
type_classes = {
"TypeEngine",
"TypeDecorator",
"UserDefinedType",
"ExternalType",
"Dialect",
"_types.TypeDecorator",
}
if target in type_classes:
return True
if target.startswith("_types."):
_, attr = target.split(".")
return hasattr(sa_types, attr)
return hasattr(sa_types, target)
except ImportError:
return False
def _resolve_advanced_alchemy_reference(target: str, module: str) -> bool:
"""Attempt to resolve Advanced Alchemy references.
Args:
target: The target class/attribute name
module: The current module context
Returns:
bool: True if reference exists, False otherwise
"""
# Handle base module references
base_classes = {
"BasicAttributes",
"CommonTableAttributes",
"AuditColumns",
"BigIntPrimaryKey",
"UUIDPrimaryKey",
"UUIDv6PrimaryKey",
"UUIDv7PrimaryKey",
"NanoIDPrimaryKey",
"Empty",
"TableArgsType",
"DeclarativeBase",
}
# Handle config module references
config_classes = {
"EngineT",
"SessionT",
"SessionMakerT",
"ConnectionT",
"GenericSessionConfig",
"GenericAlembicConfig",
}
func_references = {"repository.SQLAlchemyAsyncRepositoryProtocol.add_many"}
# Handle type module references
type_classes = {"DateTimeUTC", "ORA_JSONB", "GUID", "EncryptedString", "EncryptedText"}
if target in base_classes or target in config_classes or target in type_classes:
return True
# Handle fully qualified references
if target.startswith("advanced_alchemy."):
parts = target.split(".")
if parts[-1] in base_classes | config_classes | type_classes | func_references:
return True
# Handle module-relative references
return bool(module.startswith("advanced_alchemy."))
def _resolve_serialization_reference(target: str) -> bool:
"""Attempt to resolve serialization-related references.
Args:
target: The target class/attribute name
Returns:
bool: True if reference exists, False otherwise
"""
serialization_attrs = {"decode_json", "encode_json", "serialization.decode_json", "serialization.encode_json"}
return target in serialization_attrs
def _resolve_click_reference(target: str) -> bool:
"""Attempt to resolve Click references.
Args:
target: The target class/attribute name
Returns:
bool: True if reference exists, False otherwise
"""
try:
import click
if target == "Group":
return True
return hasattr(click, target)
except ImportError:
return False
def on_warn_missing_reference(app: Sphinx, domain: str, node: Node) -> bool | None:
"""Handle warning for missing references by checking if they are valid type imports."""
if node.tagname != "pending_xref": # type: ignore[attr-defined]
return None
if not hasattr(node, "attributes"):
return None
attributes = node.attributes # type: ignore[attr-defined,unused-ignore]
target = attributes["reftarget"]
ref_type = attributes.get("reftype")
module = attributes.get("py:module", "")
# Handle TypeVar references
if hasattr(target, "__class__") and target.__class__.__name__ == "TypeVar":
return True
# Handle Advanced Alchemy references
if _resolve_advanced_alchemy_reference(target, module):
return True
# Handle SQLAlchemy type system references
if ref_type in {"class", "meth", "attr"} and any(
x in target for x in ["TypeDecorator", "TypeEngine", "Dialect", "ExternalType", "UserDefinedType"]
):
return _resolve_sqlalchemy_type_reference(target)
# Handle SQLAlchemy core references
if target.startswith("sqlalchemy.") or (
ref_type in ("class", "attr", "obj", "meth")
and target
in {
"Engine",
"Session",
"Connection",
"MetaData",
"AsyncSession",
"AsyncEngine",
"AsyncConnection",
"sessionmaker",
"async_sessionmaker",
}
):
clean_target = target.replace("sqlalchemy.", "")
if _resolve_sqlalchemy_reference(clean_target):
return True
# Handle Litestar references
if ref_type in {"class", "obj"} and (
target.startswith(("datastructures.", "config.app."))
or target
in {
"Litestar",
"State",
"Scope",
"Message",
"AppConfig",
"BeforeMessageSendHookHandler",
"FieldDefinition",
"ImproperConfigurationError",
}
):
return _resolve_litestar_reference(target)
# Handle serialization references
if ref_type in {"attr", "meth"} and _resolve_serialization_reference(target):
return True
# Handle Click references
if ref_type == "class" and _resolve_click_reference(target):
return True
return None
def on_missing_reference(app: Sphinx, env: BuildEnvironment, node: pending_xref, contnode: Element) -> Element | None:
"""Handle missing references by attempting to resolve them through different methods.
Args:
app: The Sphinx application instance
env: The Sphinx build environment
node: The pending cross-reference node
contnode: The content node
Returns:
Element | None: The resolved reference node if found, None otherwise
"""
if not hasattr(node, "attributes"):
return None
attributes = node.attributes # type: ignore[attr-defined,unused-ignore]
target = attributes["reftarget"]
# Remove this check since it's causing issues
if not isinstance(target, str):
return None
py_domain = env.domains["py"]
# autodoc sometimes incorrectly resolves these types, so we try to resolve them as py:data first and fall back to any
new_node = py_domain.resolve_xref(env, node["refdoc"], app.builder, "data", target, node, contnode)
if new_node is None:
resolved_xrefs = py_domain.resolve_any_xref(env, node["refdoc"], app.builder, target, node, contnode)
for ref in resolved_xrefs:
if ref:
return ref[1]
return new_node
def on_env_before_read_docs(app: Sphinx, env: BuildEnvironment, docnames: set[str]) -> None:
tmp_examples_path = Path.cwd() / "docs/_build/_tmp_examples"
tmp_examples_path.mkdir(exist_ok=True, parents=True)
env.tmp_examples_path = tmp_examples_path # type: ignore[attr-defined] # pyright: ignore[reportAttributeAccessIssue]
def setup(app: Sphinx) -> dict[str, bool]:
app.connect("env-before-read-docs", on_env_before_read_docs)
app.connect("missing-reference", on_missing_reference)
app.connect("warn-missing-reference", on_warn_missing_reference)
app.add_config_value("ignore_missing_refs", default={}, rebuild="")
return {"parallel_read_safe": True, "parallel_write_safe": True}
python-advanced-alchemy-0.34.0/uv.lock 0000664 0000000 0000000 00002330710 14763441450 0017624 0 ustar 00root root 0000000 0000000 version = 1
revision = 1
requires-python = ">=3.9"
resolution-markers = [
"python_full_version >= '3.13'",
"python_full_version >= '3.11' and python_full_version < '3.13'",
"python_full_version == '3.10.*'",
"python_full_version < '3.10'",
]
[[package]]
name = "advanced-alchemy"
version = "0.34.0"
source = { editable = "." }
dependencies = [
{ name = "alembic" },
{ name = "eval-type-backport", marker = "python_full_version < '3.10'" },
{ name = "greenlet" },
{ name = "sqlalchemy" },
{ name = "typing-extensions" },
]
[package.optional-dependencies]
cli = [
{ name = "rich-click" },
]
nanoid = [
{ name = "fastnanoid" },
]
uuid = [
{ name = "uuid-utils" },
]
[package.dev-dependencies]
build = [
{ name = "bump-my-version" },
]
cockroachdb = [
{ name = "asyncpg" },
{ name = "psycopg", extra = ["binary", "pool"] },
{ name = "psycopg2-binary" },
{ name = "sqlalchemy-cockroachdb" },
]
dev = [
{ name = "aioodbc" },
{ name = "aiosqlite" },
{ name = "asgi-lifespan" },
{ name = "asyncmy" },
{ name = "asyncpg" },
{ name = "asyncpg-stubs" },
{ name = "auto-pytabs", extra = ["sphinx"] },
{ name = "bump-my-version" },
{ name = "click" },
{ name = "coverage" },
{ name = "duckdb" },
{ name = "duckdb-engine" },
{ name = "fastapi", extra = ["all"] },
{ name = "flask", extra = ["async"] },
{ name = "flask-sqlalchemy" },
{ name = "git-cliff" },
{ name = "litestar", extra = ["cli"] },
{ name = "mypy" },
{ name = "myst-parser", version = "3.0.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.10'" },
{ name = "myst-parser", version = "4.0.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.10'" },
{ name = "oracledb" },
{ name = "pre-commit" },
{ name = "psycopg", extra = ["binary", "pool"] },
{ name = "psycopg2-binary" },
{ name = "pydantic-extra-types" },
{ name = "pyodbc" },
{ name = "pyright" },
{ name = "pytest" },
{ name = "pytest-asyncio" },
{ name = "pytest-click" },
{ name = "pytest-cov" },
{ name = "pytest-databases" },
{ name = "pytest-lazy-fixtures" },
{ name = "pytest-mock" },
{ name = "pytest-rerunfailures" },
{ name = "pytest-sugar" },
{ name = "pytest-xdist" },
{ name = "pytz" },
{ name = "rich-click" },
{ name = "ruff" },
{ name = "sanic", extra = ["ext"] },
{ name = "sanic-testing" },
{ name = "shibuya" },
{ name = "slotscheck" },
{ name = "sphinx", version = "7.4.7", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.10'" },
{ name = "sphinx", version = "8.1.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version == '3.10.*'" },
{ name = "sphinx", version = "8.2.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" },
{ name = "sphinx-autobuild" },
{ name = "sphinx-autodoc-typehints", version = "2.3.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.10'" },
{ name = "sphinx-autodoc-typehints", version = "3.0.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version == '3.10.*'" },
{ name = "sphinx-autodoc-typehints", version = "3.1.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" },
{ name = "sphinx-click" },
{ name = "sphinx-copybutton" },
{ name = "sphinx-design" },
{ name = "sphinx-paramlinks" },
{ name = "sphinx-togglebutton" },
{ name = "sphinx-toolbox" },
{ name = "sphinxcontrib-mermaid" },
{ name = "sqlalchemy-cockroachdb" },
{ name = "sqlalchemy-spanner" },
{ name = "starlette" },
{ name = "time-machine" },
{ name = "types-aiofiles" },
{ name = "types-colorama" },
{ name = "types-docutils" },
{ name = "types-pillow" },
{ name = "types-psycopg2" },
{ name = "types-pygments" },
{ name = "types-pymysql" },
{ name = "types-python-dateutil" },
{ name = "types-pytz" },
{ name = "types-pyyaml" },
{ name = "types-ujson" },
]
doc = [
{ name = "auto-pytabs", extra = ["sphinx"] },
{ name = "git-cliff" },
{ name = "myst-parser", version = "3.0.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.10'" },
{ name = "myst-parser", version = "4.0.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.10'" },
{ name = "shibuya" },
{ name = "sphinx", version = "7.4.7", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.10'" },
{ name = "sphinx", version = "8.1.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version == '3.10.*'" },
{ name = "sphinx", version = "8.2.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" },
{ name = "sphinx-autobuild" },
{ name = "sphinx-autodoc-typehints", version = "2.3.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.10'" },
{ name = "sphinx-autodoc-typehints", version = "3.0.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version == '3.10.*'" },
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