pax_global_header00006660000000000000000000000064150215103610014504gustar00rootroot0000000000000052 comment=9bdd9383331ca0978b7d11316a6906162e0b2d12 pyecotrend-ista-3.3.3/000077500000000000000000000000001502151036100146245ustar00rootroot00000000000000pyecotrend-ista-3.3.3/.gitattributes000066400000000000000000000002561502151036100175220ustar00rootroot00000000000000# Auto detect text files and perform LF normalization * text eol=lf *.py whitespace=error *.ico binary *.jpg binary *.png binary *.zip binary *.mp3 binary *.pcm binary pyecotrend-ista-3.3.3/.github/000077500000000000000000000000001502151036100161645ustar00rootroot00000000000000pyecotrend-ista-3.3.3/.github/actions/000077500000000000000000000000001502151036100176245ustar00rootroot00000000000000pyecotrend-ista-3.3.3/.github/actions/get_version.py000066400000000000000000000023271502151036100225260ustar00rootroot00000000000000""" Script to read and print the version of the `pyecotrend_ista` package. The version information is stored in the `__version__.py` module within the `pyecotrend_ista` package. This script dynamically imports the module and prints the version. Functions --------- main() Reads and prints the version of `pyecotrend_ista`. Examples -------- To use this script, run it from the command line: $ python get_version.py This will output the version of the `pyecotrend_ista` package. """ import importlib.util import sys def main(): """ Read and print the version of pyecotrend_ista. This function dynamically imports the `__version__.py` module from the `pyecotrend_ista` package and prints the version defined in that module. Returns ------- int The return code. Returns 0 upon successful completion. Examples -------- >>> main() 3.3.3 0 """ spec = importlib.util.spec_from_file_location("pyecotrend_ista.__version__", "./src/pyecotrend_ista/__version.py") version_module = importlib.util.module_from_spec(spec) spec.loader.exec_module(version_module) print(version_module.__version__) return 0 if __name__ == "__main__": sys.exit(main()) pyecotrend-ista-3.3.3/.github/dependabot.yml000066400000000000000000000005561502151036100210220ustar00rootroot00000000000000version: 2 updates: - package-ecosystem: "github-actions" directory: "/" schedule: interval: daily time: "22:30" timezone: "Europe/Berlin" open-pull-requests-limit: 50 - package-ecosystem: pip directory: / schedule: interval: daily time: "22:30" timezone: "Europe/Berlin" open-pull-requests-limit: 50 pyecotrend-ista-3.3.3/.github/labels.yml000066400000000000000000000024371502151036100201570ustar00rootroot00000000000000--- # Labels names are important as they are used by Release Drafter to decide # regarding where to record them in changelog or if to skip them. # # The repository labels will be automatically configured using this file and # the GitHub Action https://github.com/marketplace/actions/github-labeler. - name: "Bug: Confirmed!" description: Something isn't working color: d73a4a - name: "Bug: False Alarm" description: no Bug - False Alarm color: 80006C - name: check for Bug description: it is checked whether there is an Bug color: 1AFF00 - name: documentation description: Improvements or additions to documentation color: 0075ca - name: duplicate description: This issue or pull request already exists color: cfd3d7 - name: feature request description: Request a new PyEcoTrend-ista feature color: a2eeef - name: help wanted description: Extra attention is needed color: 008672 - name: invalid description: This doesn't seem right color: e4e669 - name: performance description: Performance color: "016175" - name: question description: Further information is requested color: d876e3 - name: "Bug: Fix!" description: Fix Bug color: d73a4a - name: "wait" description: in examination color: 12CE3B - name: "Beta" description: Beta Version Release color: d73a4a pyecotrend-ista-3.3.3/.github/release.yml000066400000000000000000000000711502151036100203250ustar00rootroot00000000000000changelog: exclude: labels: - github_actions pyecotrend-ista-3.3.3/.github/workflows/000077500000000000000000000000001502151036100202215ustar00rootroot00000000000000pyecotrend-ista-3.3.3/.github/workflows/a_pre_commit.yml000066400000000000000000000032621502151036100234050ustar00rootroot00000000000000name: Pre-commit on: pull_request_target: types: - closed push: branches: [main] permissions: contents: read jobs: update: if: ${{ github.event.pull_request.user.login != 'dependabot[bot]' }} runs-on: ubuntu-latest steps: - name: Harden Runner uses: step-security/harden-runner@0634a2670c59f64b4a01f0f96f84700a4088b9f0 # v2.12.0 with: egress-policy: audit - name: Checkout repository uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2 - name: Set up Python uses: actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065 # v5.6.0 with: python-version: | 3.13 - name: Install Dependencies run: | pip install pre-commit pre-commit install - name: Pre-commit and auto commit run: | pre-commit run --all-files -c .pre-commit-config.yaml --show-diff-on-failure || true - name: Create Pull Request uses: peter-evans/create-pull-request@271a8d0340265f705b14b6d32b9829c1cb33d45e # v7.0.8 with: token: ${{ secrets.TOKEN }} commit-message: Update files committer: GitHub Action author: GitHub Action signoff: true branch: pre-commit # base: main title: "🔨 Update files by " body: | Auto-generated by [create-pull-request][1] [1]: https://github.com/peter-evans/create-pull-request labels: | wait in progress bot draft: false delete-branch: true pyecotrend-ista-3.3.3/.github/workflows/codeql-analysis.yml000066400000000000000000000055521502151036100240430ustar00rootroot00000000000000# For most projects, this workflow file will not need changing; you simply need # to commit it to your repository. # # You may wish to alter this file to override the set of languages analyzed, # or to provide custom queries or build logic. # # ******** NOTE ******** # We have attempted to detect the languages in your repository. Please check # the `language` matrix defined below to confirm you have the correct set of # supported CodeQL languages. # name: "CodeQL" on: push: branches: [main] pull_request: # The branches below must be a subset of the branches above branches: [main] schedule: - cron: "31 12 * * 0" permissions: actions: read contents: read jobs: analyze: name: Analyze runs-on: ubuntu-latest permissions: security-events: write strategy: fail-fast: false matrix: language: ["python"] # CodeQL supports [ 'cpp', 'csharp', 'go', 'java', 'javascript', 'python' ] # Learn more: # https://docs.github.com/en/free-pro-team@latest/github/finding-security-vulnerabilities-and-errors-in-your-code/configuring-code-scanning#changing-the-languages-that-are-analyzed steps: - name: Harden Runner uses: step-security/harden-runner@0634a2670c59f64b4a01f0f96f84700a4088b9f0 # v2.12.0 with: egress-policy: audit - name: Checkout repository uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2 # Initializes the CodeQL tools for scanning. - name: Initialize CodeQL uses: github/codeql-action/init@fca7ace96b7d713c7035871441bd52efbe39e27e # v3.28.19 with: languages: ${{ matrix.language }} # If you wish to specify custom queries, you can do so here or in a config file. # By default, queries listed here will override any specified in a config file. # Prefix the list here with "+" to use these queries and those in the config file. # queries: ./path/to/local/query, your-org/your-repo/queries@main # Autobuild attempts to build any compiled languages (C/C++, C#, or Java). # If this step fails, then you should remove it and run the build manually (see below) - name: Autobuild uses: github/codeql-action/autobuild@fca7ace96b7d713c7035871441bd52efbe39e27e # v3.28.19 # ℹ️ Command-line programs to run using the OS shell. # 📚 https://git.io/JvXDl # ✏️ If the Autobuild fails above, remove it and uncomment the following three lines # and modify them (or add more) to build your code if your project # uses a compiled language #- run: | # make bootstrap # make release - name: Perform CodeQL Analysis uses: github/codeql-action/analyze@fca7ace96b7d713c7035871441bd52efbe39e27e # v3.28.19 with: category: "/language:${{matrix.language}}" pyecotrend-ista-3.3.3/.github/workflows/dependency-review.yml000066400000000000000000000017121502151036100243620ustar00rootroot00000000000000# Dependency Review Action # # This Action will scan dependency manifest files that change as part of a Pull Request, # surfacing known-vulnerable versions of the packages declared or updated in the PR. # Once installed, if the workflow run is marked as required, # PRs introducing known-vulnerable packages will be blocked from merging. # # Source repository: https://github.com/actions/dependency-review-action name: "Dependency Review" on: [pull_request] permissions: contents: read jobs: dependency-review: runs-on: ubuntu-latest steps: - name: Harden Runner uses: step-security/harden-runner@0634a2670c59f64b4a01f0f96f84700a4088b9f0 # v2.12.0 with: egress-policy: audit - name: "Checkout Repository" uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2 - name: "Dependency Review" uses: actions/dependency-review-action@da24556b548a50705dd671f47852072ea4c105d9 # v4.7.1 pyecotrend-ista-3.3.3/.github/workflows/documentation.yml000066400000000000000000000020361502151036100236160ustar00rootroot00000000000000name: documentation on: push: branches: ["main"] workflow_dispatch: permissions: contents: read jobs: ############################ # BUILDING THE DOCUMENTATION ############################ build: runs-on: ubuntu-latest permissions: contents: write steps: - name: Harden Runner uses: step-security/harden-runner@0634a2670c59f64b4a01f0f96f84700a4088b9f0 # v2.12.0 with: egress-policy: audit - name: Cloning repository uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2 with: fetch-depth: 0 - name: Configuring Python uses: actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065 # v5.6.0 with: python-version: "3.13" - name: Installing pip packages run: | pip install .[doc] - name: Build & Publish documentation env: GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} run: | tox -e documentation mkdocs gh-deploy --force pyecotrend-ista-3.3.3/.github/workflows/labeler.yml000066400000000000000000000013121502151036100223470ustar00rootroot00000000000000name: Manage labels on: schedule: - cron: "31 12 * * 0" permissions: contents: read jobs: labeler: name: Labeler runs-on: ubuntu-latest steps: - name: Harden Runner uses: step-security/harden-runner@0634a2670c59f64b4a01f0f96f84700a4088b9f0 # v2.12.0 with: egress-policy: audit - name: Check out the repository uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2 - name: Run Labeler uses: crazy-max/ghaction-github-labeler@24d110aa46a59976b8a7f35518cb7f14f434c916 # v5.3.0 with: github-token: ${{ secrets.GITHUB_TOKEN }} yaml-file: .github/labels.yml skip-delete: true pyecotrend-ista-3.3.3/.github/workflows/pytest.yml000066400000000000000000000022231502151036100222730ustar00rootroot00000000000000name: Test on: push: branches: [main] # paths-ignore: # - ".github/**" pull_request: branches: [main] permissions: contents: read jobs: test: runs-on: ubuntu-latest strategy: matrix: python_version: ["3.11", "3.12", "3.13"] steps: - name: Harden Runner uses: step-security/harden-runner@0634a2670c59f64b4a01f0f96f84700a4088b9f0 # v2.12.0 with: egress-policy: audit - uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2 - name: Set up Python uses: actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065 # v5.6.0 with: python-version: ${{ matrix.python_version }} - name: Install dependencies run: | python -m pip install --upgrade pip pip install .[test] - name: Run tests with tox run: tox -e py${{ matrix.python_version }} - uses: codecov/codecov-action@18283e04ce6e62d37312384ff67231eb8fd56d24 # v5.4.3 with: token: ${{ secrets.CODECOV_TOKEN }} slug: Ludy87/pyecotrend-ista fail_ci_if_error: false verbose: true pyecotrend-ista-3.3.3/.github/workflows/pythonpublish.yml000066400000000000000000000115661502151036100236650ustar00rootroot00000000000000name: Upload Python Package Pypi on: release: types: [created] push: branches: [main] permissions: contents: read jobs: deploy: runs-on: ubuntu-latest permissions: contents: write steps: - name: Harden Runner uses: step-security/harden-runner@0634a2670c59f64b4a01f0f96f84700a4088b9f0 # v2.12.0 with: egress-policy: audit - name: Checkout repository uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2 with: ref: main - name: Set up Python uses: actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065 # v5.6.0 with: python-version: 3.13 check-latest: true - name: Install dependencies run: | pip install .[publish] - name: Get Version id: version shell: bash run: | version="$(python3 ./.github/actions/get_version.py)" echo "version=$version" >> $GITHUB_OUTPUT - name: Is Tag exists id: checkTag uses: actions/github-script@v7.0.1 # v7.0.1 with: script: | try { await github.rest.repos.getReleaseByTag({ owner: context.repo.owner, repo: context.repo.repo, tag: `${{ steps.version.outputs.version }}` }); core.setOutput("exists","true"); } catch (e) { // 404 = Release nicht gefunden, alles andere weiterwerfen core.setOutput("exists", e.status === 404 ? "false" : "error"); } - if: steps.checkTag.outputs.exists == 'false' name: Check Tag id: check-tag run: | if [[ "${{ steps.version.outputs.version }}" =~ ^[0-9]+\.[0-9]+\.[0-9]+$ ]]; then echo "match=true" >> $GITHUB_OUTPUT fi - name: ZIP Component Dir if: steps.check-tag.outputs.match == 'true' run: | cd ${{ github.workspace }}/src/pyecotrend_ista zip -r pyecotrend_ista.zip ./ - name: Import GPG key if: steps.check-tag.outputs.match == 'true' env: GPG_PRIVATE_KEY: ${{ secrets.GPG_PRIVATE_KEY }} PASSPHRASE: ${{ secrets.GPG_PASSPHRASE }} run: | mkdir -p ~/.gnupg chmod 700 ~/.gnupg echo "$GPG_PRIVATE_KEY" | gpg --batch --import echo "allow-loopback-pinentry" > ~/.gnupg/gpg-agent.conf gpg --list-keys - name: Debug Passphrase if: steps.check-tag.outputs.match == 'true' run: | if [ -z "$PASSPHRASE" ]; then echo "Passphrase is empty!" exit 1 else echo "Passphrase is set." fi env: PASSPHRASE: ${{ secrets.GPG_PASSPHRASE }} - name: Sign ZIP file if: steps.check-tag.outputs.match == 'true' env: PASSPHRASE: ${{ secrets.GPG_PASSPHRASE }} run: | gpg --detach-sign --batch --yes --pinentry-mode loopback --passphrase "$PASSPHRASE" -a ${{ github.workspace }}/src/pyecotrend_ista/pyecotrend_ista.zip - name: Create Release if: steps.check-tag.outputs.match == 'true' uses: softprops/action-gh-release@da05d552573ad5aba039eaac05058a918a7bf631 # v2.2.2 with: tag_name: ${{ steps.version.outputs.version }} name: v${{ steps.version.outputs.version }} draft: false prerelease: false token: ${{ secrets.GITHUB_TOKEN }} generate_release_notes: true - name: Upload zip to release if: steps.check-tag.outputs.match == 'true' uses: svenstaro/upload-release-action@04733e069f2d7f7f0b4aebc4fbdbce8613b03ccd # v2 with: repo_token: ${{ secrets.TOKEN }} file: ${{ github.workspace }}/src/pyecotrend_ista/pyecotrend_ista.zip asset_name: pyecotrend_ista.zip tag: ${{ steps.version.outputs.version }} overwrite: true - name: Upload zip to release if: steps.check-tag.outputs.match == 'true' uses: svenstaro/upload-release-action@04733e069f2d7f7f0b4aebc4fbdbce8613b03ccd # v2 with: repo_token: ${{ secrets.TOKEN }} file: ${{ github.workspace }}/src/pyecotrend_ista/pyecotrend_ista.zip.asc asset_name: pyecotrend_ista.zip.asc tag: ${{ steps.version.outputs.version }} overwrite: true - name: Build and publish package to TestPyPI # if: steps.check-tag.outputs.match == 'true' env: TWINE_USERNAME: __token__ TWINE_PASSWORD: ${{ secrets.TEST_PYPI_TOKEN }} run: tox -e test-publish -- --non-interactive - name: Build and publish package to PyPI # if: steps.check-tag.outputs.match == 'true' env: TWINE_USERNAME: __token__ TWINE_PASSWORD: ${{ secrets.PYPI_TOKEN }} run: tox -e publish pyecotrend-ista-3.3.3/.github/workflows/review-request.yml000066400000000000000000000056431502151036100237430ustar00rootroot00000000000000name: Request Reviewers on: pull_request_target: types: [opened, synchronize] permissions: contents: read jobs: request-reviewers: runs-on: ubuntu-latest permissions: pull-requests: read issues: write steps: - name: Harden Runner uses: step-security/harden-runner@0634a2670c59f64b4a01f0f96f84700a4088b9f0 # v2.12.0 with: egress-policy: audit - name: Checkout code uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2 with: fetch-depth: 20 # Ensure the last 20 commits are fetched to allow a proper diff - name: Parse CODEOWNERS and request reviews id: codeowners run: | echo "Parsing CODEOWNERS file..." # Path to the CODEOWNERS file CODEOWNERS_FILE=CODEOWNERS # Changed files in the Pull Request CHANGED_FILES=$(git diff --name-only ${{ github.event.pull_request.base.sha }} ${{ github.sha }}) REVIEWERS="" # Parse the CODEOWNERS file while IFS= read -r line; do # Ignore lines with comments or empty lines [[ "$line" =~ ^#.*$ || -z "$line" ]] && continue # Extract pattern and users PATTERN=$(echo $line | awk '{print $1}') USERS=$(echo $line | awk '{$1=""; print $0}' | tr ' ' ',') # Check if changed files match the current pattern for FILE in $CHANGED_FILES; do if [[ "$FILE" == $PATTERN* ]]; then if [[ -z "$REVIEWERS" ]]; then REVIEWERS="$USERS" else REVIEWERS="$REVIEWERS,$USERS" fi fi done done < $CODEOWNERS_FILE # Remove duplicate reviewers and leading/trailing commas REVIEWERS=$(echo $REVIEWERS | tr ',' '\n' | sort | uniq | tr '\n' ',' | sed 's/^,*//;s/,*$//') echo "Reviewers to be requested: $REVIEWERS" echo "reviewers=$REVIEWERS" >> $GITHUB_OUTPUT - name: Comment with Review Request uses: actions/github-script@60a0d83039c74a4aee543508d2ffcb1c3799cdea # v7.0.1 env: GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} with: script: | const reviewers = "${{ steps.codeowners.outputs.reviewers }}".split(','); const { owner, repo } = context.repo; const prNumber = context.payload.pull_request.number; const prCreator = context.payload.pull_request.user.login; for (const reviewer of reviewers) { if (reviewer.trim().startsWith('@') && reviewer.trim() !== `@${prCreator}`) { await github.rest.issues.createComment({ owner, repo, issue_number: prNumber, body: `${reviewer.trim()}, could you please review this change?` }); } } pyecotrend-ista-3.3.3/.github/workflows/scorecard.yml000066400000000000000000000063401502151036100227140ustar00rootroot00000000000000# This workflow uses actions that are not certified by GitHub. They are provided # by a third-party and are governed by separate terms of service, privacy # policy, and support documentation. name: Scorecard supply-chain security on: # For Branch-Protection check. Only the default branch is supported. See # https://github.com/ossf/scorecard/blob/main/docs/checks.md#branch-protection branch_protection_rule: # To guarantee Maintained check is occasionally updated. See # https://github.com/ossf/scorecard/blob/main/docs/checks.md#maintained schedule: - cron: "42 4 * * 4" push: branches: ["main"] # Declare default permissions as read only. permissions: read-all jobs: analysis: name: Scorecard analysis runs-on: ubuntu-latest permissions: # Needed to upload the results to code-scanning dashboard. security-events: write # Needed to publish results and get a badge (see publish_results below). id-token: write # Uncomment the permissions below if installing in a private repository. # contents: read # actions: read steps: - name: Harden Runner uses: step-security/harden-runner@0634a2670c59f64b4a01f0f96f84700a4088b9f0 # v2.12.0 with: egress-policy: audit - name: "Checkout code" uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2 with: persist-credentials: false - name: "Run analysis" uses: ossf/scorecard-action@05b42c624433fc40578a4040d5cf5e36ddca8cde # v2.4.2 with: results_file: results.sarif results_format: sarif # (Optional) "write" PAT token. Uncomment the `repo_token` line below if: # - you want to enable the Branch-Protection check on a *public* repository, or # - you are installing Scorecard on a *private* repository # To create the PAT, follow the steps in https://github.com/ossf/scorecard-action?tab=readme-ov-file#authentication-with-fine-grained-pat-optional. # repo_token: ${{ secrets.SCORECARD_TOKEN }} # Public repositories: # - Publish results to OpenSSF REST API for easy access by consumers # - Allows the repository to include the Scorecard badge. # - See https://github.com/ossf/scorecard-action#publishing-results. # For private repositories: # - `publish_results` will always be set to `false`, regardless # of the value entered here. publish_results: true # Upload the results as artifacts (optional). Commenting out will disable uploads of run results in SARIF # format to the repository Actions tab. - name: "Upload artifact" uses: actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02 # v3.pre.node20 with: name: SARIF file path: results.sarif retention-days: 5 # Upload the results to GitHub's code scanning dashboard (optional). # Commenting out will disable upload of results to your repo's Code Scanning dashboard - name: "Upload to code-scanning" uses: github/codeql-action/upload-sarif@fca7ace96b7d713c7035871441bd52efbe39e27e # v3.28.19 with: sarif_file: results.sarif pyecotrend-ista-3.3.3/.gitignore000066400000000000000000000037201502151036100166160ustar00rootroot00000000000000# Byte-compiled / optimized / DLL files __pycache__/ *.py[cod] *$py.class # C extensions *.so # Distribution / packaging .Python build/ develop-eggs/ dist/ downloads/ eggs/ .eggs/ lib/ lib64/ parts/ sdist/ var/ wheels/ pip-wheel-metadata/ share/python-wheels/ *.egg-info/ .installed.cfg *.egg MANIFEST # PyInstaller # Usually these files are written by a python script from a template # before PyInstaller builds the exe, so as to inject date/other infos into it. *.manifest *.spec # Installer logs pip-log.txt pip-delete-this-directory.txt # Unit test / coverage reports htmlcov/ .tox/ .nox/ .coverage .coverage.* .cache nosetests.xml coverage.xml *.cover *.py,cover .hypothesis/ .pytest_cache/ test*.* test/ # unignore unittests and related data files !tests/*.py !tests/*/*.ambr !tests/*/*.json # Translations *.mo *.pot # Django stuff: *.log local_settings.py db.sqlite3 db.sqlite3-journal # Flask stuff: instance/ .webassets-cache # Scrapy stuff: .scrapy # Sphinx documentation docs/_build/ # PyBuilder target/ # Jupyter Notebook .ipynb_checkpoints # IPython profile_default/ ipython_config.py # pyenv .python-version # pipenv # According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. # However, in case of collaboration, if having platform-specific dependencies or dependencies # having no cross-platform support, pipenv may install dependencies that don't work, or not # install all needed dependencies. #Pipfile.lock # PEP 582; used by e.g. github.com/David-OConnor/pyflow __pypackages__/ # Celery stuff celerybeat-schedule celerybeat.pid # SageMath parsed files *.sage.py # Environments .env .venv* .vscode env/ venv/ ENV/ env.bak/ venv.bak/ # Spyder project settings .spyderproject .spyproject # Rope project settings .ropeproject # mkdocs documentation /site # mypy .mypy_cache/ .dmypy.json dmypy.json # Pyre type checker .pyre/ # Database *.db # Documents *.pdf # Dev tools *.lock *.toml *nl* *.pem legende.* *.asc pyecotrend-ista-3.3.3/.pre-commit-config.yaml000066400000000000000000000066331502151036100211150ustar00rootroot00000000000000ci: autofix_commit_msg: | [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci autofix_prs: true autoupdate_branch: "" autoupdate_commit_msg: "[pre-commit.ci] pre-commit autoupdate" autoupdate_schedule: weekly skip: [] submodules: false repos: - repo: https://github.com/astral-sh/ruff-pre-commit rev: v0.11.9 hooks: - id: ruff exclude: ^(.github|.*object.*\.py$) args: - --fix - --line-length=127 - repo: https://github.com/PyCQA/autoflake rev: v2.3.1 hooks: - id: autoflake args: - "--in-place" - "--remove-duplicate-keys" - "--remove-unused-variables" - "--remove-all-unused-imports" - repo: https://github.com/codespell-project/codespell rev: v2.4.1 hooks: - id: codespell args: - --ignore-words-list= - --skip="./.*,*.csv,*.json,*.ambr" - --quiet-level=2 exclude_types: [csv, json] exclude: tests/__snapshots__/ - repo: https://github.com/pre-commit/pre-commit-hooks rev: v5.0.0 hooks: - id: check-ast - id: check-yaml exclude: mkdocs\.yml - id: check-json exclude: (.vscode|.devcontainer) - id: check-added-large-files args: [--maxkb=800] - id: debug-statements - id: detect-aws-credentials args: [--allow-missing-credentials] - id: detect-private-key - id: end-of-file-fixer exclude_types: [json] exclude: (CODEOWNERS)$ - id: mixed-line-ending args: [--fix=lf] exclude_types: [png, yaml] exclude: (\.md|\.yml|\.jpg|\.png|\.ambr|CODEOWNERS)$ - id: trailing-whitespace exclude_types: [json] - id: pretty-format-json args: [--autofix, --no-ensure-ascii] exclude: ^src/(.*url|.+ua)\.json$ - id: check-executables-have-shebangs stages: [manual] - id: check-case-conflict - repo: https://github.com/pre-commit/mirrors-prettier rev: v3.1.0 hooks: - id: prettier exclude_types: [json] exclude: \.md$ - repo: https://github.com/macisamuele/language-formatters-pre-commit-hooks rev: v2.14.0 hooks: - id: pretty-format-toml args: [--autofix] - repo: https://github.com/numpy/numpydoc rev: v1.8.0 hooks: - id: numpydoc-validation files: ^(src)/.+\.py$ exclude: | (?x)( tests/| docs/ ) - repo: https://github.com/cdce8p/python-typing-update rev: v0.7.1 hooks: # Run `python-typing-update` hook manually from time to time # to update python typing syntax. # Will require manual work, before submitting changes! # pre-commit run --hook-stage manual python-typing-update --all-files - id: python-typing-update stages: [manual] args: - --py311-plus - --force - --keep-updates files: ^(src|tests)/.+\.py$ additional_dependencies: - black==24.4.2 - repo: https://github.com/asottile/pyupgrade rev: v3.19.1 hooks: - id: pyupgrade args: [--py311-plus] exclude: ^.*object.*\.py$ - repo: https://github.com/gitleaks/gitleaks rev: v8.26.0 hooks: - id: gitleaks - repo: https://github.com/pylint-dev/pylint rev: v3.3.7 hooks: - id: pylint pyecotrend-ista-3.3.3/.travis.yml000066400000000000000000000000441502151036100167330ustar00rootroot00000000000000language: python python: - "3.11" pyecotrend-ista-3.3.3/CODEOWNERS000066400000000000000000000003541502151036100162210ustar00rootroot00000000000000# Global owner for all files * @Ludy87 # Owner for specific directories and files /src/ @tr4nt0r /tests/ @tr4nt0r requirements_test.txt @tr4nt0r requirements.txt @tr4nt0rpyecotrend-ista-3.3.3/FUNDING.yml000066400000000000000000000017521502151036100164460ustar00rootroot00000000000000# These are supported funding model platforms github: Ludy87 # Replace with up to 4 GitHub Sponsors-enabled usernames e.g., [user1, user2] patreon: # Replace with a single Patreon username open_collective: # Replace with a single Open Collective username ko_fi: # Replace with a single Ko-fi username tidelift: # Replace with a single Tidelift platform-name/package-name e.g., npm/babel community_bridge: # Replace with a single Community Bridge project-name e.g., cloud-foundry liberapay: # Replace with a single Liberapay username issuehunt: # Replace with a single IssueHunt username otechie: # Replace with a single Otechie username lfx_crowdfunding: # Replace with a single LFX Crowdfunding project-name e.g., cloud-foundry custom: [ "https://paypal.me/astragermany", "https://www.buymeacoffee.com/ludy87", "https://github.com/sponsors/Ludy87", "https://smile.amazon.de/registry/wishlist/2MX8QK8VE9MV1", ] # Replace with up to 4 custom sponsorship URLs e.g., ['link1', 'link2'] pyecotrend-ista-3.3.3/LICENSE000066400000000000000000000020451502151036100156320ustar00rootroot00000000000000MIT License Copyright (c) 2022 Ludy Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. pyecotrend-ista-3.3.3/README.md000066400000000000000000000037341502151036100161120ustar00rootroot00000000000000# PyEcoTrend-ista [![PyPI version](https://badge.fury.io/py/pyecotrend-ista.svg)](https://badge.fury.io/py/pyecotrend-ista) [![Downloads](https://pepy.tech/badge/pyecotrend-ista)](https://pepy.tech/project/pyecotrend-ista) [![Downloads](https://pepy.tech/badge/pyecotrend-ista/month)](https://pepy.tech/project/pyecotrend-ista) [![Downloads](https://pepy.tech/badge/pyecotrend-ista/week)](https://pepy.tech/project/pyecotrend-ista) [![GitHub issues](https://img.shields.io/github/issues/Ludy87/pyecotrend-ista?style=for-the-badge&logo=github)](https://github.com/Ludy87/pyecotrend-ista/issues) [![GitHub forks](https://img.shields.io/github/forks/Ludy87/pyecotrend-ista?style=for-the-badge&logo=github)](https://github.com/Ludy87/pyecotrend-ista) [![GitHub stars](https://img.shields.io/github/stars/Ludy87/pyecotrend-ista?style=for-the-badge&logo=github)](https://github.com/Ludy87/pyecotrend-ista) [![GitHub license](https://img.shields.io/github/license/Ludy87/pyecotrend-ista?style=for-the-badge&logo=github)](https://github.com/Ludy87/pyecotrend-ista/blob/main/LICENSE) [![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg?style=for-the-badge&logo=code%20style-black)](https://github.com/psf/black) ![GitHub Release Date](https://img.shields.io/github/release-date/Ludy87/pyecotrend-ista?style=for-the-badge&logo=github) [![codecov](https://codecov.io/github/Ludy87/pyecotrend-ista/branch/main/graph/badge.svg?token=BHU8J3OVRT)](https://codecov.io/github/Ludy87/pyecotrend-ista) [![OpenSSF Best Practices](https://www.bestpractices.dev/projects/9868/badge)](https://www.bestpractices.dev/projects/9868) [!["Buy Me A Coffee"](https://www.buymeacoffee.com/assets/img/custom_images/orange_img.png)](https://www.buymeacoffee.com/ludy87) [✨ Wishlist from Amazon ✨](https://smile.amazon.de/registry/wishlist/2MX8QK8VE9MV1) --- Unofficial python library for the pyecotrend-ista API ![EcoTrend-ista](https://github.com/Ludy87/pyecotrend-ista/blob/main/image/logo.png?raw=true) pyecotrend-ista-3.3.3/docs/000077500000000000000000000000001502151036100155545ustar00rootroot00000000000000pyecotrend-ista-3.3.3/docs/exception_classes.md000066400000000000000000000001221502151036100216040ustar00rootroot00000000000000# Exceptions ::: pyecotrend_ista.exception_classes :docstring: :members: pyecotrend-ista-3.3.3/docs/index.md000066400000000000000000000036231502151036100172110ustar00rootroot00000000000000# PyEcoTrend-ista [![PyPI version](https://badge.fury.io/py/pyecotrend-ista.svg)](https://badge.fury.io/py/pyecotrend-ista) [![Downloads](https://pepy.tech/badge/pyecotrend-ista)](https://pepy.tech/project/pyecotrend-ista) [![Downloads](https://pepy.tech/badge/pyecotrend-ista/month)](https://pepy.tech/project/pyecotrend-ista) [![Downloads](https://pepy.tech/badge/pyecotrend-ista/week)](https://pepy.tech/project/pyecotrend-ista) [![GitHub issues](https://img.shields.io/github/issues/Ludy87/pyecotrend-ista?style=for-the-badge&logo=github)](https://github.com/Ludy87/pyecotrend-ista/issues) [![GitHub forks](https://img.shields.io/github/forks/Ludy87/pyecotrend-ista?style=for-the-badge&logo=github)](https://github.com/Ludy87/pyecotrend-ista) [![GitHub stars](https://img.shields.io/github/stars/Ludy87/pyecotrend-ista?style=for-the-badge&logo=github)](https://github.com/Ludy87/pyecotrend-ista) [![GitHub license](https://img.shields.io/github/license/Ludy87/pyecotrend-ista?style=for-the-badge&logo=github)](https://github.com/Ludy87/pyecotrend-ista/blob/main/LICENSE) [![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg?style=for-the-badge&logo=code%20style-black)](https://github.com/psf/black) ![GitHub Release Date](https://img.shields.io/github/release-date/Ludy87/pyecotrend-ista?style=for-the-badge&logo=github) [![codecov](https://codecov.io/github/Ludy87/pyecotrend-ista/branch/main/graph/badge.svg?token=BHU8J3OVRT)](https://codecov.io/github/Ludy87/pyecotrend-ista) [!["Buy Me A Coffee"](https://www.buymeacoffee.com/assets/img/custom_images/orange_img.png)](https://www.buymeacoffee.com/ludy87) [✨ Wishlist from Amazon ✨](https://smile.amazon.de/registry/wishlist/2MX8QK8VE9MV1) --- Unofficial python library for the pyecotrend-ista API ![EcoTrend-ista](https://github.com/Ludy87/pyecotrend-ista/blob/main/image/logo.png?raw=true) ::: pyecotrend_ista :docstring: :members: pyecotrend-ista-3.3.3/docs/login_helper.md000066400000000000000000000001171502151036100205440ustar00rootroot00000000000000# Login Helper ::: pyecotrend_ista.login_helper :docstring: :members: pyecotrend-ista-3.3.3/docs/pyecotrend_ista.md000066400000000000000000000005261502151036100212750ustar00rootroot00000000000000# API documentation ::: pyecotrend_ista.PyEcotrendIsta :docstring: :members: pyecotrend-ista-3.3.3/docs/types.md000066400000000000000000000001011502151036100172320ustar00rootroot00000000000000# Types ::: pyecotrend_ista.types :docstring: :members: pyecotrend-ista-3.3.3/image/000077500000000000000000000000001502151036100157065ustar00rootroot00000000000000pyecotrend-ista-3.3.3/image/logo.png000066400000000000000000001762441502151036100173720ustar00rootroot00000000000000PNG  IHDRJgAMA a pHYs(JtEXtSoftwarepaint.net 4.0.16Di!IDATx^XϙB޻ҋ)X X]z&hlSozgfw 3;,[}399֎FFahMZ= ֍#ІV~8CcZ?620`=Њ2ȈU3D`mUٿJr~<qxl> q\oLaBIB4M-SGEh9/c!Ӌq(10.1-J1PsK!Wg%-EGЛGqC3{6z1d| e>9Н׵ b9@C3+7U5 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YORE: SOL 3.12: Replace `3.12` with `3` within line. - url: https://docs.python.org/3.12/objects.inv domains: [std, py] paths: [src, scripts, .] options: line_length: 80 docstring_options: ignore_init_summary: true docstring_section_style: list members_order: source heading_level: 2 inherited_members: true merge_init_into_class: true parameter_headings: true separate_signature: true show_bases: false show_inheritance_diagram: true show_root_heading: true show_root_full_path: true show_source: true show_signature_annotations: true show_symbol_type_heading: true show_symbol_type_toc: true signature_crossrefs: true summary: true docstring_style: numpy theme: name: material icon: logo: material/library features: - announce.dismiss - content.code.annotate - content.code.copy - content.tooltips - navigation.expand - navigation.footer - navigation.indexes - navigation.instant - navigation.instant.progress - navigation.instant.prefetch - navigation.path # - navigation.sections # - navigation.tabs - navigation.tabs.sticky # - navigation.top - search.highlight - search.suggest - search.share - toc.follow palette: - media: "(prefers-color-scheme)" toggle: icon: material/brightness-auto name: Switch to light mode - media: "(prefers-color-scheme: light)" scheme: default primary: teal accent: purple toggle: icon: material/weather-sunny name: Switch to dark mode - media: "(prefers-color-scheme: dark)" scheme: slate primary: black accent: lime toggle: icon: material/weather-night name: Switch to system preference markdown_extensions: - admonition - codehilite - attr_list - github-callouts # - callouts - footnotes - pymdownx.details - pymdownx.blocks.tab: alternate_style: true - pymdownx.emoji: emoji_index: !!python/name:material.extensions.emoji.twemoji emoji_generator: !!python/name:material.extensions.emoji.to_svg - pymdownx.highlight: pygments_lang_class: true - pymdownx.inlinehilite - pymdownx.magiclink - pymdownx.snippets: base_path: [!relative $config_dir] check_paths: true - pymdownx.superfences - pymdownx.tabbed: alternate_style: true slugify: !!python/object/apply:pymdownx.slugs.slugify kwds: case: lower - pymdownx.tasklist: custom_checkbox: true - pymdownx.tilde - toc: permalink: true - def_list - tables - pymdownx.highlight: use_pygments: false anchor_linenums: true - pymdownx.snippets - pymdownx.superfences - mdx_gh_links: user: Ludy87 repo: pyecotrend-ista - mkdocs-click watch: - docs pyecotrend-ista-3.3.3/pyproject.toml000066400000000000000000000100201502151036100175310ustar00rootroot00000000000000[build-system] build-backend = "setuptools.build_meta" requires = ['setuptools>=61.2', "setuptools-scm", "requests", "dataclasses_json"] [project] authors = [ {name = "Ludy87", email = "android@astra-g.org"} ] classifiers = [ "Development Status :: 4 - Beta", "Programming Language :: Python", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.11", "Programming Language :: Python :: 3.12", "License :: OSI Approved :: MIT License", "Operating System :: OS Independent", "Intended Audience :: Developers", "Topic :: Software Development", "Topic :: Utilities", "Topic :: Home Automation", "Topic :: Software Development :: Libraries :: Python Modules" ] dependencies = [ "requests>=2", "dataclasses-json>=0.6" ] description = "Python EcoTrend-ista Api" dynamic = ["version", "readme"] keywords = ["python", "api", "ecotrend", "ista"] license = {file = "LICENSE"} name = "pyEcoTrend-ista" # readme = "README.md" requires-python = ">=3.11" [project.optional-dependencies] doc = [ "babel==2.17.0", "cachetools==6.0.0", "certifi==2025.4.26", "chardet==5.2.0", "charset-normalizer==3.4.2", "click==8.2.1", "colorama==0.4.6", "csscompressor==0.9.5", "distlib==0.3.9", "filelock==3.18.0", "ghp-import==2.1.0", "gitdb==4.0.12", "gitpython==3.1.44", "griffe==1.7.3", "htmlmin2==0.1.13", "idna==3.10", "jinja2==3.1.6", "jsmin==3.0.1", "markdown==3.8", "markdown-callouts==0.4.0", "markupsafe==3.0.2", "mdx-gh-links==0.4", "mergedeep==1.3.4", "mkdocs==1.6.1", "mkdocs-autorefs==1.4.2", "mkdocs-click==0.9.0", "mkdocs-get-deps==0.2.0", "mkdocs-git-authors-plugin==0.9.5", "mkdocs-git-committers-plugin-2==2.5.0", "mkdocs-git-revision-date-localized-plugin==1.4.5", "mkdocs-literate-nav==0.6.2", "mkdocs-material==9.6.14", "mkdocs-material-extensions==1.3.1", "mkdocs-minify-plugin==0.8.0", "mkdocstrings[python]==0.29.1", "mkdocstrings-python==1.16.10", "packaging==25.0", "paginate==0.5.7", "pathspec==0.12.1", "platformdirs==4.3.8", "pluggy==1.6.0", "pygments==2.19.1", "pymdown-extensions==10.15", "pyproject-api==1.9.1", "python-dateutil==2.9.0.post0", "pytz==2025.2", "pyyaml==6.0.2", "pyyaml-env-tag==1.1", "regex==2024.11.6", "requests==2.32.3", "six==1.17.0", "smmap==5.0.2", "tomli==2.2.1", "tox==4.26.0", "typing-extensions==4.13.2", "urllib3==2.3.0", "virtualenv==20.31.2", "watchdog==6.0.0" ] publish = [ "tox==4.26.0" ] test = [ "tox==4.26.0", "pytest==8.4.0", "pytest-cov==6.1.1", "pytest-xdist==3.7.0", "requests-mock[fixture]==1.12.1", "syrupy==4.9.1" ] [project.urls] Documentation = "https://ludy87.github.io/pyecotrend-ista/" Homepage = "http://github.com/Ludy87/pyecotrend-ista" Repository = "http://github.com/Ludy87/pyecotrend-ista" [tool.black] line-length = 127 target-version = ["py311"] [tool.numpydoc_validation] checks = [ "all", # report on all checks, except the below "SA01", "GL01", "GL02", "GL03", "SS05" ] exclude = [ '\.__str__$' ] [tool.pylint.FORMAT] max-line-length = 127 [tool.pylint."MESSAGES CONTROL"] disable = [ "too-many-ancestors", "too-many-arguments", "too-many-instance-attributes", "wrong-import-order", "too-many-lines", "too-many-locals" ] [tool.pytest.ini_options] addopts = "--cov=src/pyecotrend_ista/ --cov-report=term-missing -n auto" pythonpath = ["src"] testpaths = ["tests"] [tool.ruff] indent-width = 4 line-length = 127 target-version = "py311" [tool.ruff.format] docstring-code-format = true docstring-code-line-length = 127 indent-style = "space" quote-style = "double" [tool.ruff.lint] extend-select = ["I", "TRY", "UP", "D", "W", "N"] ignore = ["D213", "D202", "D203", "D213", "UP038", "D406", "D407", "TRY003"] [tool.ruff.lint.isort] combine-as-imports = true force-sort-within-sections = true known-first-party = ["pyecotrend_ista"] split-on-trailing-comma = false [tool.ruff.lint.pydocstyle] convention = "numpy" [tool.setuptools.dynamic] readme = {file = ["README.md"]} version = {attr = 'pyecotrend_ista.__version.__version__'} pyecotrend-ista-3.3.3/requirements.in000066400000000000000000000027111502151036100177000ustar00rootroot00000000000000# Basisabhängigkeiten für den Build setuptools>=61.2 setuptools-scm requests dataclasses_json # Hauptabhängigkeiten requests>=2 dataclasses-json>=0.6 # Optionale Abhängigkeiten für Dokumentation babel==2.17.0 cachetools==6.0.0 certifi==2025.4.26 chardet==5.2.0 charset-normalizer==3.4.2 click==8.2.1 colorama==0.4.6 csscompressor==0.9.5 distlib==0.3.9 filelock==3.18.0 ghp-import==2.1.0 gitdb==4.0.12 gitpython==3.1.44 griffe==1.7.3 htmlmin2==0.1.13 idna==3.10 jinja2==3.1.6 jsmin==3.0.1 markdown==3.8 markdown-callouts==0.4.0 markupsafe==3.0.2 mdx-gh-links==0.4 mergedeep==1.3.4 mkdocs==1.6.1 mkdocs-autorefs==1.4.2 mkdocs-click==0.9.0 mkdocs-get-deps==0.2.0 mkdocs-git-authors-plugin==0.9.5 mkdocs-git-committers-plugin-2==2.5.0 mkdocs-git-revision-date-localized-plugin==1.4.5 mkdocs-literate-nav==0.6.2 mkdocs-material==9.6.14 mkdocs-material-extensions==1.3.1 mkdocs-minify-plugin==0.8.0 mkdocstrings[python]==0.29.1 mkdocstrings-python==1.16.10 packaging==25.0 paginate==0.5.7 pathspec==0.12.1 platformdirs==4.3.8 pluggy==1.6.0 pygments==2.19.1 pymdown-extensions==10.15 pyproject-api==1.9.1 python-dateutil==2.9.0.post0 pytz==2025.2 pyyaml==6.0.2 pyyaml-env-tag==1.1 regex==2024.11.6 requests==2.32.3 six==1.17.0 smmap==5.0.2 tomli==2.2.1 tox==4.26.0 typing-extensions==4.13.2 urllib3==2.3.0 virtualenv==20.31.2 watchdog==6.0.0 # Abhängigkeiten für Tests tox==4.26.0 pytest==8.4.0 pytest-cov==6.1.1 pytest-xdist==3.7.0 requests-mock[fixture]==1.12.1 syrupy==4.9.1 pyecotrend-ista-3.3.3/requirements.txt000066400000000000000000000143351502151036100201160ustar00rootroot00000000000000# # This file is autogenerated by pip-compile with Python 3.10 # by the following command: # # pip-compile --output-file=requirements.txt requirements.in # babel==2.17.0 # via # -r requirements.in # mkdocs-git-revision-date-localized-plugin # mkdocs-material backrefs==5.8 # via mkdocs-material cachetools==5.5.2 # via # -r requirements.in # tox certifi==2025.4.26 # via # -r requirements.in # requests chardet==5.2.0 # via # -r requirements.in # tox charset-normalizer==3.4.2 # via # -r requirements.in # requests click==8.2.0 # via # -r requirements.in # mkdocs # mkdocs-click colorama==0.4.6 # via # -r requirements.in # click # griffe # mkdocs # mkdocs-material # pytest # tox coverage[toml]==7.8.0 # via pytest-cov csscompressor==0.9.5 # via # -r requirements.in # mkdocs-minify-plugin dataclasses-json==0.6.7 # via -r requirements.in distlib==0.3.9 # via # -r requirements.in # virtualenv exceptiongroup==1.3.0 # via pytest execnet==2.1.1 # via pytest-xdist filelock==3.18.0 # via # -r requirements.in # tox # virtualenv fixtures==4.2.5 # via requests-mock ghp-import==2.1.0 # via # -r requirements.in # mkdocs gitdb==4.0.12 # via # -r requirements.in # gitpython gitpython==3.1.44 # via # -r requirements.in # mkdocs-git-committers-plugin-2 # mkdocs-git-revision-date-localized-plugin griffe==1.7.3 # via # -r requirements.in # mkdocstrings-python htmlmin2==0.1.13 # via # -r requirements.in # mkdocs-minify-plugin idna==3.10 # via # -r requirements.in # requests iniconfig==2.1.0 # via pytest jinja2==3.1.6 # via # -r requirements.in # mkdocs # mkdocs-material # mkdocstrings jsmin==3.0.1 # via # -r requirements.in # mkdocs-minify-plugin markdown==3.8 # via # -r requirements.in # markdown-callouts # mdx-gh-links # mkdocs # mkdocs-autorefs # mkdocs-click # mkdocs-material # mkdocstrings # pymdown-extensions markdown-callouts==0.4.0 # via -r requirements.in markupsafe==3.0.2 # via # -r requirements.in # jinja2 # mkdocs # mkdocs-autorefs # mkdocstrings marshmallow==3.26.1 # via dataclasses-json mdx-gh-links==0.4 # via -r requirements.in mergedeep==1.3.4 # via # -r requirements.in # mkdocs # mkdocs-get-deps mkdocs==1.6.1 # via # -r requirements.in # mkdocs-autorefs # mkdocs-git-authors-plugin # mkdocs-git-committers-plugin-2 # mkdocs-git-revision-date-localized-plugin # mkdocs-literate-nav # mkdocs-material # mkdocs-minify-plugin # mkdocstrings mkdocs-autorefs==1.4.1 # via # -r requirements.in # mkdocstrings # mkdocstrings-python mkdocs-click==0.9.0 # via -r requirements.in mkdocs-get-deps==0.2.0 # via # -r requirements.in # mkdocs mkdocs-git-authors-plugin==0.9.5 # via -r requirements.in mkdocs-git-committers-plugin-2==2.5.0 # via -r requirements.in mkdocs-git-revision-date-localized-plugin==1.4.5 # via -r requirements.in mkdocs-literate-nav==0.6.2 # via -r requirements.in mkdocs-material==9.6.13 # via -r requirements.in mkdocs-material-extensions==1.3.1 # via # -r requirements.in # mkdocs-material mkdocs-minify-plugin==0.8.0 # via -r requirements.in mkdocstrings[python]==0.29.1 # via # -r requirements.in # mkdocstrings-python mkdocstrings-python==1.16.10 # via # -r requirements.in # mkdocstrings mypy-extensions==1.1.0 # via typing-inspect packaging==25.0 # via # -r requirements.in # marshmallow # mkdocs # pyproject-api # pytest # setuptools-scm # tox paginate==0.5.7 # via # -r requirements.in # mkdocs-material pathspec==0.12.1 # via # -r requirements.in # mkdocs platformdirs==4.3.8 # via # -r requirements.in # mkdocs-get-deps # tox # virtualenv pluggy==1.5.0 # via # -r requirements.in # pytest # tox pygments==2.19.1 # via # -r requirements.in # mkdocs-material pymdown-extensions==10.15 # via # -r requirements.in # mkdocs-material # mkdocstrings pyproject-api==1.9.1 # via # -r requirements.in # tox pytest==8.3.5 # via # -r requirements.in # pytest-cov # pytest-xdist # syrupy pytest-cov==6.1.1 # via -r requirements.in pytest-xdist==3.6.1 # via -r requirements.in python-dateutil==2.9.0.post0 # via # -r requirements.in # ghp-import pytz==2025.2 # via # -r requirements.in # mkdocs-git-revision-date-localized-plugin pyyaml==6.0.2 # via # -r requirements.in # mkdocs # mkdocs-get-deps # pymdown-extensions # pyyaml-env-tag pyyaml-env-tag==1.0 # via # -r requirements.in # mkdocs regex==2024.11.6 # via -r requirements.in requests==2.32.3 # via # -r requirements.in # mkdocs-git-committers-plugin-2 # mkdocs-material # requests-mock requests-mock[fixture]==1.12.1 # via -r requirements.in setuptools-scm==8.3.1 # via -r requirements.in six==1.17.0 # via # -r requirements.in # python-dateutil smmap==5.0.2 # via # -r requirements.in # gitdb syrupy==4.9.1 # via -r requirements.in tomli==2.2.1 # via # -r requirements.in # coverage # pyproject-api # pytest # setuptools-scm # tox tox==4.25.0 # via -r requirements.in typing-extensions==4.13.2 # via # -r requirements.in # exceptiongroup # mkdocstrings-python # tox # typing-inspect typing-inspect==0.9.0 # via dataclasses-json urllib3==2.3.0 # via # -r requirements.in # requests virtualenv==20.31.2 # via # -r requirements.in # tox watchdog==6.0.0 # via # -r requirements.in # mkdocs # The following packages are considered to be unsafe in a requirements file: # setuptools pyecotrend-ista-3.3.3/src/000077500000000000000000000000001502151036100154135ustar00rootroot00000000000000pyecotrend-ista-3.3.3/src/pyecotrend_ista/000077500000000000000000000000001502151036100206075ustar00rootroot00000000000000pyecotrend-ista-3.3.3/src/pyecotrend_ista/__init__.py000066400000000000000000000012331502151036100227170ustar00rootroot00000000000000"""PyEcotrend Ista.""" # numpydoc ignore=EX01,ES01 from .exception_classes import ( KeycloakAuthenticationError, KeycloakError, KeycloakGetError, KeycloakInvalidTokenError, KeycloakOperationError, KeycloakPostError, LoginError, ParserError, ServerError, ) from .pyecotrend_ista import PyEcotrendIsta from .types import ConsumptionsResponse __all__ = [ "ConsumptionsResponse", "KeycloakAuthenticationError", "KeycloakError", "KeycloakGetError", "KeycloakInvalidTokenError", "KeycloakOperationError", "KeycloakPostError", "LoginError", "ParserError", "PyEcotrendIsta", "ServerError", ] pyecotrend-ista-3.3.3/src/pyecotrend_ista/__version.py000066400000000000000000000001651502151036100231460ustar00rootroot00000000000000"""Module containing the version information for the project.""" # numpydoc ignore=EX01,ES01 __version__ = "3.3.3" pyecotrend-ista-3.3.3/src/pyecotrend_ista/const.py000066400000000000000000000010661502151036100223120ustar00rootroot00000000000000"""Constants for PyEcotrendIsta.""" # numpydoc ignore=EX01,ES01 from pyecotrend_ista.__version import __version__ VERSION = __version__ API_BASE_URL = "https://api.prod.eed.ista.com/" DEMO_USER_ACCOUNT = "demo@ista.de" PROVIDER_URL = "https://keycloak.ista.com/realms/eed-prod/protocol/openid-connect/" REDIRECT_URI = "https://ecotrend.ista.de/login-redirect" CLIENT_ID = "ecotrend" SCOPE = "openid" RESPONSE_MODE = "fragment" RESPONSE_TYPE = "code" GRANT_TYPE_REFRESH_TOKEN = "refresh_token" GRANT_TYPE_AUTHORIZATION_CODE = "authorization_code" TIMEOUT = 10 pyecotrend-ista-3.3.3/src/pyecotrend_ista/exception_classes.py000066400000000000000000000150711502151036100247000ustar00rootroot00000000000000"""Exception Class.""" # numpydoc ignore=ES01,EX01 from __future__ import annotations from collections.abc import Callable from typing import TypeVar import warnings T = TypeVar("T") def deprecated(func: Callable[..., T], alias_func: str | None = None) -> Callable[..., T]: # numpydoc ignore=ES01,PR01,PR02,PR04,PR10,EX01 """ Decorate a function as deprecated and emit a warning when called. Parameters ---------- func: Callable[..., T]) The function to be marked as deprecated. alias_func : str, optional The real function name to show as deprecated, in case the function was called through an alias. Returns ------- Callable[..., T] A wrapper function that emits a deprecation warning when called. """ def deprecated_func(*args, **kwargs): # numpydoc ignore=ES01,SA01,EX01 """ Emit a deprecation warning and call the decorated function. Parameters ---------- *args : tuple Positional arguments passed to the decorated function. **kwargs : dict Keyword arguments passed to the decorated function. Returns ------- T The return value of the decorated function. """ if alias_func: warning_message = ( f"The `{alias_func}` function is deprecated and will be removed in a future release. " f"Use `{func.__name__}` instead." ) else: warning_message = f"The `{func.__name__}` function is deprecated and will be removed in a future release." warnings.warn(warning_message, category=DeprecationWarning, stacklevel=2) return func(*args, **kwargs) return deprecated_func class BaseError(Exception): # numpydoc ignore=ES01,EX01 """Base class for exceptions in this module. This is the base class for all custom exceptions in the module. It inherits from Python's built-in Exception class and can be used to catch errors specific to this module. """ class ServerError(BaseError): # numpydoc ignore=ES01,EX01 """Exception raised for server errors during requests. This exception is raised when a exception occurs during a request. It inherits from BaseError and can be used to handle server-related issues specifically. """ def __str__(self) -> str: """Return a string representation of the error..""" return "Server error occurred during the request" class LoginError(BaseError): # numpydoc ignore=ES01,EX01 """Exception raised for login- and authentication related errors. This exception is raised when an authentication exception occurs during a request. It inherits from BaseError and is used specifically to handle issues related to authentication and login. """ def __str__(self) -> str: """Return a string representation of an authentication error.""" return "An authentication error occurred during the request" class ParserError(ServerError): # numpydoc ignore=ES01,EX01 """Exception raised for errors encountered during parsing. This exception is raised when an error occurs during the parsing process of the request response. It inherits from BaseError and can be used to handle issues specifically related to parsing. """ def __str__(self) -> str: """Return a string representation of parser error.""" return "Error occurred during parsing of the request response" # The MIT License (MIT) # # Copyright (C) 2017 Marcos Pereira # # Permission is hereby granted, free of charge, to any person obtaining a copy of # this software and associated documentation files (the "Software"), to deal in # the Software without restriction, including without limitation the rights to # use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of # the Software, and to permit persons to whom the Software is furnished to do so, # subject to the following conditions: # # The above copyright notice and this permission notice shall be included in all # copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS # FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR # COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER # IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN # CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. # Source from # https://github.com/marcospereirampj/python-keycloak/blob/c98189ca6951f12f1023ed3370c9aaa0d81e4aa4/src/keycloak/exceptions.py # Keycloak custom exceptions module. class KeycloakError(Exception): # numpydoc ignore=ES01,EX01,PR01 """Base class for custom Keycloak errors.""" def __init__(self, error_message="", response_code=None, response_body=None): # numpydoc ignore=ES01,EX01 """Init method. Parameters ---------- error_message : str, optional The error message (default is an empty string). response_code : int, optional The code of the response (default is None). response_body : bytes, optional Body of the response (default is None). """ Exception.__init__(self, error_message) self.response_code = response_code self.response_body = response_body self.error_message = error_message def __str__(self): """Str method. Returns ------- str String representation of the object. """ if self.response_code is not None: return f"{self.response_code}: {self.error_message}" return f"{self.error_message}" class KeycloakAuthenticationError(KeycloakError): # numpydoc ignore=ES01,EX01 """Keycloak authentication error exception.""" class KeycloakOperationError(KeycloakError): # numpydoc ignore=ES01,EX01 """Keycloak operation error exception.""" class KeycloakGetError(KeycloakOperationError): # numpydoc ignore=ES01,EX01 """Keycloak request get error exception.""" class KeycloakPostError(KeycloakOperationError): # numpydoc ignore=ES01,EX01 """Keycloak request post error exception.""" class KeycloakCodeNotFound(KeycloakOperationError): # noqa: N818 numpydoc ignore=ES01,EX01 """Keycloak Code not found exception.""" class KeycloakInvalidTokenError(KeycloakOperationError): # numpydoc ignore=ES01,EX01 """Keycloak invalid token exception.""" pyecotrend-ista-3.3.3/src/pyecotrend_ista/helper_object_de.py000066400000000000000000000355341502151036100244500ustar00rootroot00000000000000"""Dataclasses.""" # numpydoc ignore=EX01,ES01 from __future__ import annotations from dataclasses import dataclass from dataclasses_json import DataClassJsonMixin, dataclass_json # pylint: disable=invalid-name @dataclass_json @dataclass class AverageConsumption(DataClassJsonMixin): # numpydoc ignore=ES01,EX01 """Represents average consumption data. Attributes ---------- averageConsumptionValue : float Average consumption value. residentConsumptionValue : float Resident consumption value. averageConsumptionPercentage : int Percentage of average consumption. residentConsumptionPercentage : int Percentage of resident consumption. additionalAverageConsumptionValue : float Additional average consumption value. additionalResidentConsumptionValue : float Additional resident consumption value. additionalAverageConsumptionPercentage : int Percentage of additional average consumption. additionalResidentConsumptionPercentage : int Percentage of additional resident consumption. """ averageConsumptionValue: float # noqa: N815 residentConsumptionValue: float # noqa: N815 averageConsumptionPercentage: int # noqa: N815 residentConsumptionPercentage: int # noqa: N815 additionalAverageConsumptionValue: float # noqa: N815 additionalResidentConsumptionValue: float # noqa: N815 additionalAverageConsumptionPercentage: int # noqa: N815 additionalResidentConsumptionPercentage: int # noqa: N815 # pylint: disable=no-member def replace_point(self): # numpydoc ignore=ES01,EX01 """Replace commas with periods in specific attributes.""" for _field in self.__dataclass_fields__.values(): if _field.name in [ "averageConsumptionValue", "residentConsumptionValue", "additionalAverageConsumptionValue", "additionalResidentConsumptionValue", ]: if isinstance(getattr(self, _field.name), str): setattr(self, _field.name, float(getattr(self, _field.name).replace(",", "."))) def __post_init__(self): # numpydoc ignore=ES01,EX01 """Post-initialization processing.""" self.replace_point() @dataclass_json @dataclass class ComparedConsumption(DataClassJsonMixin): # numpydoc ignore=ES01,EX01 """ Represents compared consumption data. Attributes ---------- lastYearValue : float, optional Last year's consumption value. period : Date, optional Period represented by month and year. smiley : str, optional Smiley indicator representing satisfaction level. comparedPercentage : int, optional Percentage comparison with another consumption value. comparedValue : float, optional Value comparison with another consumption. """ lastYearValue: float | None = None # noqa: N815 period: Date | None = None smiley: str | None = None comparedPercentage: int | None = None # noqa: N815 comparedValue: float | None = None # noqa: N815 # pylint: disable=no-member def replace_point(self): # numpydoc ignore=ES01,EX01 """Replace commas with periods in specific attributes.""" for _field in self.__dataclass_fields__.values(): if _field.name in ["lastYearValue", "comparedValue"]: if isinstance(getattr(self, _field.name), str): setattr(self, _field.name, float(getattr(self, _field.name).replace(",", "."))) else: setattr(self, _field.name, float(getattr(self, _field.name))) def __post_init__(self): # numpydoc ignore=ES01,EX01 """Post-initialization processing.""" self.replace_point() @dataclass_json @dataclass class Consumption(DataClassJsonMixin): # numpydoc ignore=ES01,EX01,PR02 """Data class representing consumption. Parameters ---------- type : str Type of consumption. value : float Value of the consumption. unit : str Unit of measurement for the consumption value. additionalValue : float Additional value associated with the consumption. additionalUnit : str Unit of measurement for the additional value. estimated : bool Flag indicating if the consumption is estimated. comparedConsumption : ComparedConsumption, optional Optional comparison with another consumption instance. comparedCost : ComparedConsumption, optional Optional comparison with another cost related to consumption. averageConsumption : AverageConsumption, optional Optional average consumption data. """ type: str value: float unit: str additionalValue: float # noqa: N815 additionalUnit: str # noqa: N815 estimated: bool comparedConsumption: ComparedConsumption | None # noqa: N815 comparedCost: ComparedConsumption | None # noqa: N815 averageConsumption: AverageConsumption | None # field(default_factory=AverageConsumption) # noqa: N815 # pylint: disable=no-member def replace_point(self): # numpydoc ignore=ES01,EX01 """Replace commas with periods in specific attributes.""" for _field in self.__dataclass_fields__.values(): if _field.name in ["value", "additionalValue"]: if isinstance(getattr(self, _field.name), str): setattr(self, _field.name, float(getattr(self, _field.name).replace(",", "."))) def __post_init__(self): # numpydoc ignore=ES01,EX01 """Post-initialization processing.""" self.replace_point() @dataclass_json @dataclass class Cost(DataClassJsonMixin): # numpydoc ignore=ES01,EX01 """Data class representing cost information. Attributes ---------- type : str The type of cost. value : int The numerical value of the cost. unit : str The monetary unit for the cost value. estimated : bool Indicates whether the cost is estimated or not. comparedCost : ComparedConsumption, optional Object containing compared consumption data, if available. """ type: str value: int unit: str estimated: bool comparedCost: ComparedConsumption | None # noqa: N815 @dataclass_json @dataclass class Date(DataClassJsonMixin): # numpydoc ignore=ES01,EX01 """Data class representing a date with month and year. Attributes ---------- month : int The month of the date. year : int The year of the date. """ month: int year: int @dataclass_json @dataclass class LastValue(DataClassJsonMixin): # numpydoc ignore=ES01,EX01 """Data class representing last values. Attributes ---------- heating : float, optional The last recorded heating value. warmwater : float, optional The last recorded warm water value. water : float, optional The last recorded water value. month : int, optional The month of the last recorded values. year : int, optional The year of the last recorded values. ww : str, optional Additional attribute description related to warm water. w : str, optional Additional attribute description related to water. h : str, optional Additional attribute description related to heating. """ heating: float | None = None warmwater: float | None = None water: float | None = None month: int | None = None year: int | None = None ww: str | None = None w: str | None = None h: str | None = None @dataclass_json @dataclass class LastCustomValue(DataClassJsonMixin): # numpydoc ignore=ES01,EX01 """Data class representing last custom values. Attributes ---------- heating : float, optional The last recorded custom heating value. warmwater : float, optional The last recorded custom warm water value. water : float, optional The last recorded custom water value. month : int, optional The month of the last recorded custom values. year : int, optional The year of the last recorded custom values. ww : str, optional Additional warm water attribute description. w : str, optional Additional water attribute description. h : str, optional Additional heating attribute description. """ heating: float | None = None warmwater: float | None = None water: float | None = None month: int | None = None year: int | None = None ww: str | None = None w: str | None = None h: str | None = None @dataclass_json @dataclass class LastCosts(DataClassJsonMixin): # numpydoc ignore=ES01,EX01 """Data class representing last costs. Attributes ---------- heating : float, optional The last recorded heating cost. warmwater : float, optional The last recorded warm water cost. water : float, optional The last recorded water cost. month : int, optional The month of the last recorded costs. year : int, optional The year of the last recorded costs. unit : str, optional The monetary unit for the costs. """ heating: float | None = None warmwater: float | None = None water: float | None = None month: int | None = None year: int | None = None unit: str | None = None @dataclass_json @dataclass class CombinedData(DataClassJsonMixin): # numpydoc ignore=ES01,EX01 """Data class representing combined data. Attributes ---------- date : Date The date associated with the combined data. consumptions : list of Consumption List of consumptions associated with the combined data. costs : list of Cost List of costs associated with the combined data. """ date: Date consumptions: list[Consumption] costs: list[Cost] @dataclass_json @dataclass class TotalAdditionalValues(DataClassJsonMixin): # numpydoc ignore=ES01,EX01 """Data class for representing total additional values. Attributes ---------- heating : float or None, optional Total additional value for heating, or None if not available. Default is None. warmwater : float or None, optional Total additional value for warm water, or None if not available. Default is None. water : float or None, optional Total additional value for water, or None if not available. Default is None. ww : str or None, optional A string representation for warm water, or None if not available. Default is None. w : str or None, optional A string representation for water, or None if not available. Default is None. h : str or None, optional A string representation for heating, or None if not available. Default is None. """ heating: float | None = None warmwater: float | None = None water: float | None = None ww: str | None = None w: str | None = None h: str | None = None @dataclass_json @dataclass class TotalAdditionalCustomValues(DataClassJsonMixin): # numpydoc ignore=ES01,EX01 """Data class for representing total additional custom values. Attributes ---------- heating : float or None, optional Total additional custom value for heating, or None if not available. Default is None. warmwater : float or None, optional Total additional custom value for warm water, or None if not available. Default is None. water : float or None, optional Total additional custom value for water, or None if not available. Default is None. ww : str or None, optional A string representation for warm water, or None if not available. Default is None. w : str or None, optional A string representation for water, or None if not available. Default is None. h : str or None, optional A string representation for heating, or None if not available. Default is None. """ heating: float | None = None warmwater: float | None = None water: float | None = None ww: str | None = None w: str | None = None h: str | None = None @dataclass_json @dataclass class SumByYear(DataClassJsonMixin): # numpydoc ignore=ES01,EX01 """Data class for representing the sum of values grouped by year. Attributes ---------- heating : dict of int to float or None, optional A dictionary mapping years to heating values, or None if not available. Default is None. warmwater : dict of int to float or None, optional A dictionary mapping years to warm water values, or None if not available. Default is None. water : dict of int to float or None, optional A dictionary mapping years to water values, or None if not available. Default is None. ww : str or None, optional A string representation for warm water, or None if not available. Default is None. w : str or None, optional A string representation for water, or None if not available. Default is None. h : str or None, optional A string representation for heating, or None if not available. Default is None. """ heating: dict[int, float] | None = None warmwater: dict[int, float] | None = None water: dict[int, float] | None = None ww: str | None = None w: str | None = None h: str | None = None @dataclass_json @dataclass class CustomRaw(DataClassJsonMixin): # numpydoc ignore=ES01,EX01 """Data class for representing custom raw data. Attributes ---------- consum_types : list of str or None A list of consumption types or None if not available. combined_data : list of CombinedData or None A list of combined data entries or None if not available. total_additional_values : TotalAdditionalValues The total for additional values. total_additional_custom_values : TotalAdditionalCustomValues The total for additional custom values. last_value : LastValue or None The last value recorded or None if not available. last_custom_value : LastCustomValue or None The last custom value recorded or None if not available. all_dates : list of Date or None A list of all relevant dates or None if not available. sum_by_year : SumByYear The sum of values grouped by year. last_costs : LastCosts or None The last recorded costs or None if not available. last_year_compared_consumption : dict of str to ComparedConsumption or None A dictionary with last year's compared consumption values or None if not available. """ consum_types: list[str] | None combined_data: list[CombinedData] | None total_additional_values: TotalAdditionalValues total_additional_custom_values: TotalAdditionalCustomValues last_value: LastValue | None last_custom_value: LastCustomValue | None all_dates: list[Date] | None sum_by_year: SumByYear last_costs: LastCosts | None last_year_compared_consumption: dict[str, ComparedConsumption] | None pyecotrend-ista-3.3.3/src/pyecotrend_ista/login_helper.py000066400000000000000000000334051502151036100236350ustar00rootroot00000000000000"""Login helper for Keycloak.""" # numpydoc ignore=EX01,ES01 from __future__ import annotations import html import logging import re from typing import Any, cast import urllib.parse import requests from requests.adapters import HTTPAdapter, Retry from .const import ( CLIENT_ID, DEMO_USER_ACCOUNT, GRANT_TYPE_AUTHORIZATION_CODE, GRANT_TYPE_REFRESH_TOKEN, PROVIDER_URL, REDIRECT_URI, RESPONSE_MODE, RESPONSE_TYPE, SCOPE, TIMEOUT, ) from .exception_classes import ( KeycloakAuthenticationError, KeycloakCodeNotFound, KeycloakGetError, KeycloakInvalidTokenError, KeycloakOperationError, KeycloakPostError, ) from .types import GetTokenResponse class LoginHelper: # numpydoc ignore=ES01,EX01,PR01 """Login helper for Keycloak. Attributes ---------- session : requests.Session Optional session object for making HTTP requests. username : str Username for authentication. password : str Password for authentication. cookie : str Authentication cookie. auth_code : str Authorization code. form_action : str Form action URL for authentication. Notes ----- This class provides utility methods for handling authentication and session management using Keycloak. """ session: requests.Session cookie: str auth_code: str form_action: str def __init__( self, username: str, password: str, totp: str | None = None, session: requests.Session | None = None, logger=None, ) -> None: # numpydoc ignore=ES01,EX01 """Initialize the object with username and password. Parameters ---------- username : str Username for authentication. password : str Password for authentication. totp : str, optional Time-based One-Time Password if enabled, by default None. session : requests.Session, optional Optional session object for making HTTP requests, by default None. logger : logging.Logger, optional Logger object for logging messages, by default None. """ self.username: str = username self.password: str = password self.totp: str | None = totp self.session = session or requests.Session() self.session.verify = True retries = Retry(total=5, backoff_factor=1, status_forcelist=[502, 503, 504, 408]) self.session.mount("https://", HTTPAdapter(max_retries=retries)) self.logger = logger or logging.getLogger(__name__) def _send_request(self, method, url, **kwargs) -> requests.Response: # numpydoc ignore=ES01,EX01 """Send an HTTP request using the session object. Parameters ---------- method : str HTTP method for the request (e.g., 'GET', 'POST', 'PUT', 'DELETE'). url : str URL to send the request to. **kwargs : dict Additional keyword arguments to pass to `session.request`. Returns ------- requests.Response Response object returned by the HTTP request. Raises ------ ValueError If `self.session` is not initialized (i.e., is `None`). KeycloakOperationError If an HTTP request exception (`requests.RequestException`) occurs. """ if self.session is None: raise ValueError("Session object is not initialized.") try: response = self.session.request(method, url, **kwargs) self.logger.debug("Performed %s request: %s [%s]:\n%s", method, url, response.status_code, response.text[:100]) response.raise_for_status() except requests.RequestException as e: raise KeycloakOperationError from e return response def _login(self) -> None: # numpydoc ignore=ES01,EX01 """Log in to ista EcoTrend. Raises ------ KeycloakAuthenticationError If an authentication error occurs during the login process. """ try: self.auth_code = self._get_auth_code() except KeycloakAuthenticationError as error: raise KeycloakAuthenticationError(error.error_message) from error def _get_auth_code(self) -> str: # numpydoc ignore=ES01,EX01 """ Retrieve the authentication code for ista EcoTrend. Returns ------- str The authentication code obtained from the ista EcoTrend API. Raises ------ KeycloakAuthenticationError If an authentication error occurs during the login process. KeycloakCodeNotFound If the authentication code ('code') is not found in the redirection URL parameters. """ cookie, form_action = self._get_cookie_and_action() resp: requests.Response = self._send_request( "POST", form_action, data={ "username": self.username, "password": self.password, "login": "Login", "credentialId": None, }, headers={"Cookie": cookie}, timeout=TIMEOUT, allow_redirects=False, ) # If the response code is not 302 # raise_error_from_response(resp, KeycloakAuthenticationError, expected_codes=[302]) if resp.status_code != 302: if resp.status_code == 200: form_action = re.search(r' tuple: # numpydoc ignore=ES01,EX01 """Retrieve the cookie and action URL from the OpenID Connect provider. Returns ------- tuple[str, str] A tuple containing the cookie obtained from the response headers and the action URL extracted from the HTML form. Raises ------ KeycloakGetError If the GET request to the OpenID Connect provider returns a non-200 status code. """ form_action = None resp: requests.Response = self._send_request( "GET", url=f"{PROVIDER_URL}auth", params={ "response_mode": RESPONSE_MODE, # fragment "response_type": RESPONSE_TYPE, # code "client_id": CLIENT_ID, "scope": SCOPE, "redirect_uri": REDIRECT_URI, }, timeout=TIMEOUT, allow_redirects=False, ) # If the response code is not 200 raise an exception. raise_error_from_response(resp, KeycloakGetError) cookie = resp.headers["Set-Cookie"] cookie = "; ".join(c.split(";")[0] for c in cookie.split(", ")) search = re.search(r' tuple: # numpydoc ignore=ES01,EX01 """Refresh the access token using the provided refresh token. Parameters ---------- refresh_token : str The refresh token obtained from previous authentication. Returns ------- tuple[str, int, str] Tuple containing the refreshed access token, its expiration time in seconds, and the new refresh token. """ resp: requests.Response = self._send_request( "POST", url=f"{PROVIDER_URL}token", data={ "grant_type": GRANT_TYPE_REFRESH_TOKEN, "client_id": CLIENT_ID, # ecotrend "refresh_token": refresh_token, }, ) result = resp.json() return result["access_token"], result["expires_in"], result["refresh_token"] def get_token(self) -> GetTokenResponse: # numpydoc ignore=ES01,EX01 """Retrieve access and refresh tokens using the obtained authorization code. Raises ------ KeycloakPostError If there's an error during the POST request to retrieve tokens. KeycloakInvalidTokenError If the response status code is not 200, indicating an invalid token. Returns ------- GetTokenResponse A TypedDict containing authentication tokens including 'accessToken', 'accessTokenExpiresIn', and 'refreshToken'. """ self._login() _data = { "grant_type": GRANT_TYPE_AUTHORIZATION_CODE, "client_id": CLIENT_ID, # ecotrend "redirect_uri": REDIRECT_URI, "code": self.auth_code, } if self.totp: _data["totp"] = self.totp resp: requests.Response = self._send_request( "POST", url=f"{PROVIDER_URL}token", data=_data, timeout=TIMEOUT, allow_redirects=False, ) raise_error_from_response(response=resp, error=KeycloakPostError) # If the response code is not 200 raise an exception. if resp.status_code != 200: raise KeycloakInvalidTokenError() return cast(GetTokenResponse, resp.json()) def userinfo(self, token) -> Any: # numpydoc ignore=EX01 """Retrieve user information from the Keycloak provider. This method sends a GET request to the Keycloak `userinfo` endpoint using the provided token in the Authorization header. It returns the JSON response containing user information. Parameters ---------- token : str The access token to be used for authorization. Returns ------- Any A dictionary containing the user information if the request is successful, or an empty dictionary if the user is a demo user. Raises ------ KeycloakOperationError If the request fails due to a Keycloak operation error. """ if self.username == DEMO_USER_ACCOUNT: return {} header = {"Authorization": f"Bearer {token}"} url = f"{PROVIDER_URL}userinfo" resp: requests.Response = self._send_request("GET", url=url, headers=header) return resp.json() def logout(self, token) -> dict | Any | bytes | dict[str, str]: # numpydoc ignore=ES01,EX01 """Log out the user session from the identity provider. Parameters ---------- token : str Refresh token associated with the user session. Returns ------- Union[dict, Any, bytes, dict[str, str]] Response data from the logout request. The exact type may vary based on the response content. Raises ------ KeycloakPostError If an error occurs during the POST request to logout the user. """ resp: requests.Response = self._send_request( "POST", url=f"{PROVIDER_URL}logout", data={ "client_id": CLIENT_ID, "refresh_token": token, }, ) return raise_error_from_response(resp, KeycloakPostError) def raise_error_from_response( response: requests.Response, error, expected_codes=None, skip_exists=False ) -> dict | Any | bytes | dict[str, str]: # numpydoc ignore=ES01,EX01 """Raise an exception for the response. Parameters ---------- response : Response The response object. error : dict or Exception Error object to raise. expected_codes : Sequence[int], optional Set of expected codes, which should not raise the exception. skip_exists : bool, optional Indicates whether the response on already existing object should be ignored. Returns ------- bytes or dict Content of the response message. Raises ------ KeycloakError In case of unexpected status codes. Notes ----- Source from https://github.com/marcospereirampj/python-keycloak/blob/c98189ca6951f12f1023ed3370c9aaa0d81e4aa4/src/keycloak/exceptions.py """ # noqa: DAR401,DAR402 pylint: disable=line-too-long if expected_codes is None: expected_codes = [200, 201, 204] if response.status_code in expected_codes: if response.status_code == requests.codes["no_content"]: return {} try: return response.json() except ValueError: return response.content if skip_exists and response.status_code == 409: return {"msg": "Already exists"} try: message = response.json()["message"] except (KeyError, ValueError): message = response.content if isinstance(error, dict): error = error.get(response.status_code, KeycloakOperationError) else: if response.status_code == 401: error = KeycloakAuthenticationError raise error(error_message=message, response_code=response.status_code, response_body=response.content) pyecotrend-ista-3.3.3/src/pyecotrend_ista/pyecotrend_ista.py000066400000000000000000001303351502151036100243620ustar00rootroot00000000000000# numpydoc ignore=EX01,GL06,GL07 """Unofficial python library for the ista EcoTrend API. This module provides a Python client for interacting with the ista EcoTrend API. Classes ------- PyEcotrendIsta A Python client for interacting with the ista EcoTrend API. """ from __future__ import annotations from http import HTTPStatus import logging import time from typing import Any, cast import warnings import requests from .const import API_BASE_URL, DEMO_USER_ACCOUNT, VERSION from .exception_classes import KeycloakError, LoginError, ParserError, ServerError, deprecated from .helper_object_de import CustomRaw from .login_helper import LoginHelper from .types import AccountResponse, ConsumptionsResponse, ConsumptionUnitDetailsResponse, GetTokenResponse _LOGGER = logging.getLogger(__name__) class PyEcotrendIsta: # numpydoc ignore=PR01 """ A Python client for interacting with the ista EcoTrend API. This class provides methods to authenticate and interact with the ista EcoTrend API. Attributes ---------- _account : AccountResponse The account information. _uuid : str The UUID of the consumption unit. _access_token : str | None The access token for API authentication. _refresh_token : str | None The refresh token for obtaining new access tokens. _access_token_expires_in : int The expiration time of the access token. _header : dict[str, str] The headers used in HTTP requests. _support_code : str | None The support code for the account. _start_timer : float The start time for tracking elapsed time. Examples -------- Initialize the client and log in: >>> client = PyEcotrendIsta(email="user@example.com", password="password") >>> client.login() """ _account: AccountResponse _uuid: str _access_token: str | None = None _refresh_token: str | None = None _access_token_expires_in: int = 0 _header: dict[str, str] = {} _support_code: str | None = None _start_timer: float = 0.0 def __init__( self, email: str, password: str, logger: logging.Logger | None = None, hass_dir: str | None = None, totp: str | None = None, session: requests.Session | None = None, ) -> None: # numpydoc ignore=ES01,EX01 """Initialize the PyEcotrendIsta client. Parameters ---------- email : str The email address used to log in to the ista EcoTrend API. password : str The password used to log in to the ista EcoTrend API. logger : logging.Logger, optional [DEPRECATED] An optional logger instance for logging messages. Default is None. hass_dir : str, optional [DEPRECATED] An optional directory for Home Assistant configuration. Default is None. totp : str, optional An optional TOTP (Time-based One-Time Password) for two-factor authentication. Default is None. session : requests.Session, optional An optional requests session for making HTTP requests. Default is None. """ if hass_dir: warnings.warn( "The 'hass_dir' parameter is deprecated and will be removed in a future release.", DeprecationWarning, stacklevel=2, ) if logger: warnings.warn( "The 'logger' parameter is deprecated and will be removed in a future release.", DeprecationWarning, stacklevel=2, ) self._email: str = email.strip() self._password: str = password self.loginhelper = LoginHelper( username=self._email, password=self._password, totp=totp, session=session, logger=_LOGGER, ) self.session: requests.Session = self.loginhelper.session @property def access_token(self): # numpydoc ignore=EX01 """ Retrieve the access token, refreshing it if necessary. This property checks if the access token is still valid. If the token has expired and the client is connected, it refreshes the token. The token is considered expired if the current time minus the start time exceeds the token's expiration period. Returns ------- str The current access token. Notes ----- This method will automatically refresh the access token if it has expired. """ if ( self._access_token_expires_in > 0 and self._is_connected() and self._refresh_token and self._access_token_expires_in <= time.time() - self._start_timer ): self.__refresh() return self._access_token @access_token.setter def access_token(self, value: str) -> None: # numpydoc ignore=ES01,EX01 """ Setter method for the access token attribute. Parameters ---------- value : str The new access token value. Notes ----- Sets the access token value and updates the start timer to the current time. This method is used to assign a new access token value and reset the timer tracking the token's validity period. """ self._access_token = value self._start_timer = time.time() _LOGGER.debug( "Initialized start timer for refresh token at %s", time.strftime("%Y-%m-%d %H:%M:%S", time.localtime(self._start_timer)), ) def _is_connected(self) -> bool: # numpydoc ignore=ES01,EX01 """ Check if the client is connected by verifying the presence of an access token. Returns ------- bool True if the client has a valid access token, False otherwise. """ return bool(self._access_token) def __login(self) -> str | None: # numpydoc ignore=ES01,EX01 """ Perform the login process to obtain an access token. If the email is a demo account, it logs in using a demo user login function. For other accounts, it retrieves a token using a login helper. Returns ------- str or None The access token if login is successful, None otherwise. """ if self._email == DEMO_USER_ACCOUNT: _LOGGER.debug("Logging in as demo user") token = self.demo_user_login() else: token = self.loginhelper.get_token() if token: self.access_token = token["access_token"] self._access_token_expires_in = token["expires_in"] self._refresh_token = token["refresh_token"] return self.access_token return None def __refresh(self) -> None: # numpydoc ignore=ES01,EX01 """ Refresh the access token using the refresh token. This method retrieves a new access token, updates internal variables, and resets the token expiration timer. Raises ------ ParserError If there is an error parsing the request response. LoginError If there is an authorization failure. ServerError If there is a server error, connection timeout, or request exception. Notes ----- This method assumes `self._refresh_token` is already set. """ ( self.access_token, self._access_token_expires_in, self._refresh_token, ) = self.loginhelper.refresh_token(self._refresh_token) self._header["Authorization"] = f"Bearer {self.access_token}" def __set_account(self) -> None: # numpydoc ignore=ES01,EX01 """ Fetch and set account information from the API. This method performs an API request to retrieve account information, handles various potential errors that might occur during the request, and sets instance variables accordingly using the response data. Raises ------ ParserError If there is an error parsing the JSON response. LoginError If the request fails due to an authorization error. ServerError If the request fails due to a server error, timeout, or other request exceptions. """ self._header = { "Content-Type": "application/json", "User-Agent": self.get_user_agent(), "Authorization": f"Bearer {self.access_token}", } url = f"{API_BASE_URL}account" try: with self.session.get(url, headers=self._header) as r: _LOGGER.debug("Performed GET request: %s [%s]:\n%s", url, r.status_code, r.text) r.raise_for_status() try: data = r.json() except requests.JSONDecodeError as exc: raise ParserError( "Loading account information failed due to an error parsing the request response" ) from exc except requests.HTTPError as exc: if exc.response.status_code == HTTPStatus.UNAUTHORIZED: raise LoginError("Loading account information failed due to an authorization failure") from exc raise ServerError( "Loading account information failed due to a server error " f"[{exc.response.status_code}: {exc.response.reason}]" ) from exc except requests.Timeout as exc: raise ServerError("Loading account information failed due a connection timeout") from exc except requests.RequestException as exc: raise ServerError("Loading account information failed due to a request exception") from exc self._account = cast(AccountResponse, data) self._uuid = data["activeConsumptionUnit"] def get_version(self) -> str: # numpydoc ignore=EX01,ES01 """ Get the version of the PyEcotrendIsta client. Returns ------- str The version number of the PyEcotrendIsta client. """ return VERSION getVersion = deprecated(get_version, "getVersion") # noqa: N815 def login(self, force_login: bool = False, debug: bool = False, **kwargs) -> str | None: # numpydoc ignore=ES01,EX01,PR01,PR02 """ Perform the login process if not already connected or forced. Parameters ---------- force_login : bool, optional If True, forces a fresh login attempt even if already connected. Default is False. debug : bool, optional [DEPRECATED] Flag indicating whether to enable debug logging. Default is False. Deprecated Parameters ---------------------- forceLogin : bool, optional Use `force_login` instead. This parameter is deprecated and will be removed in a future release. Returns ------- str or None The access token if login is successful, None otherwise. Raises ------ LoginError If the login process fails due to an error. ServerError If a server error occurs during login attempts. InternalServerError If an internal server error occurs during login attempts. Exception For any other unexpected errors during the login process. Notes ----- - The `forceLogin` parameter is handled via `**kwargs` for backward compatibility. - The `debug` parameter is deprecated; use appropriate logging configuration instead. """ if debug: warnings.warn( "The 'debug' parameter is deprecated and will be removed in a future release.", DeprecationWarning, stacklevel=2, ) if "forceLogin" in kwargs: warnings.warn( "The 'forceLogin' keyword parameter is deprecated and will be removed in a future release. " "Use force_login instead.", DeprecationWarning, stacklevel=2, ) force_login = kwargs["forceLogin"] if not self._is_connected() or force_login: try: self.__login() self.__set_account() except (KeycloakError, LoginError) as exc: # Login failed self._access_token = None raise LoginError( "Login failed due to an authorization failure, please verify your email and password" ) from exc except ServerError as exc: raise ServerError("Login failed due to a request exception, please try again later") from exc return self.access_token def userinfo(self, token): """ Retrieve user information using the provided access token. This method constructs an authorization header using the provided access token and sends a GET request to the userinfo endpoint of the provider API. It expects a JSON response with user information. Parameters ---------- token : str The access token used for authentication. Returns ------- Any JSON response containing user information. Raises ------ requests.exceptions.RequestException If an error occurs while making the HTTP request. Notes ----- This method constructs an authorization header using the provided access token and sends a GET request to the userinfo endpoint of the provider API. It expects a JSON response with user information. Examples -------- >>> client = PyEcotrendIsta(email="user@example.com", password="password") >>> token = client.login() >>> user_info = client.userinfo(token) """ return self.loginhelper.userinfo(token=token) def logout(self) -> None: """ Perform logout operation by invalidating the current session. This method invokes the logout functionality in the loginhelper module, passing the current refresh token for session invalidation. Raises ------ KeycloakPostError If an error occurs during the logout process. This error is raised based on the response from the logout request. Notes ----- This method assumes `self._refresh_token` is already set. Examples -------- >>> client = PyEcotrendIsta(email="user@example.com", password="password") >>> client.login() >>> client.logout() """ if self.loginhelper.username != DEMO_USER_ACCOUNT: self.loginhelper.logout(self._refresh_token) def get_uuids(self) -> list[str]: # numpydoc ignore=ES01 """ Retrieve UUIDs of consumption units registered in the account. Returns ------- list[str] A list containing UUIDs of consumption units. Each UUID represents a consumption unit, which could be a flat or a house for which consumption readings are provided. Notes ----- A consumption unit represents a residence or building where consumption readings are recorded. The UUIDs are extracted from the `_residentAndConsumptionUuidsMap` attribute. Examples -------- >>> client = PyEcotrendIsta(email="user@example.com", password="password") >>> client.login() >>> uuids = client.get_uuids() >>> print(uuids) ['uuid1', 'uuid2', 'uuid3'] """ return list(self._account.get("residentAndConsumptionUuidsMap", {}).values()) getUUIDs = deprecated(get_uuids, "getUUIDs") # noqa: N815 # pylint: disable=too-many-branches,too-many-statements def consum_raw( # noqa: C901 self, select_year: list[int] | None = None, select_month: list[int] | None = None, filter_none: bool = True, obj_uuid: str | None = None, ) -> dict[str, Any] | ConsumptionsResponse: # noqa: C901 """ Process and filter consumption and cost data for a given consumption unit. This method processes consumption and cost data obtained from the `get_consumption_data` method. It filters and aggregates data based on the parameters provided. Parameters ---------- select_year : list[int] | None, optional List of years to filter data by year, default is None. select_month : list[int] | None, optional List of months to filter data by month, default is None. filter_none : bool, optional Whether to filter out None values in readings, default is True. obj_uuid : str | None, optional UUID of the consumption unit to fetch data for, default is None. Returns ------- dict[str, Any] | ConsumptionsResponse Processed data including consumption types, total additional values, last values, last costs, sum by year, and last year compared consumption. Raises ------ Exception If there is an unexpected error during data processing. Notes ----- This method processes consumption and cost data obtained from the `get_consumption_data` method. It filters and aggregates data based on the parameters provided. Examples -------- >>> api = PyEcotrendIsta() >>> result = api.consum_raw(select_year=[2023], select_month=[7], filter_none=True, obj_uuid="uuid") >>> print(result) """ # Fetch raw consumption data for the specified UUID c_raw: ConsumptionsResponse = self.get_consumption_data(obj_uuid) if not isinstance(c_raw, dict) or (c_raw.get("consumptions") is None and c_raw.get("costs") is None): return c_raw if "consumptions" not in c_raw or not isinstance(c_raw.get("consumptions"), list): c_raw["consumptions"] = [] consum_types = [] all_dates = [] indices_to_delete_consumption = [] for i, consumption in enumerate(c_raw.get("consumptions", [])): if ( not isinstance(consumption, dict) or "readings" not in consumption or consumption.get("readings") is None or not isinstance(consumption.get("readings"), list) ): consumption = {} continue for reading in consumption.get("readings", []): if reading["additionalValue"] is not None or reading["value"] is not None: consum_types.append(reading["type"]) consum_types = list({consum_type for consum_type in consum_types if i is not None}) new_readings = [] if "date" in consumption: all_dates.append(consumption["date"]) if select_month is None and select_year is None: for reading in consumption.get("readings", []): if filter_none and reading["type"] is not None: new_readings.append(reading) elif not filter_none: new_readings.append(reading) elif ( select_year is not None and select_month is not None and consumption["date"]["year"] in select_year and consumption["date"]["month"] in select_month ): for reading in consumption.get("readings", []): if filter_none and reading["type"] is not None: new_readings.append(reading) elif not filter_none: new_readings.append(reading) elif select_year is not None and consumption["date"]["year"] in select_year and select_month is None: for reading in consumption.get("readings", []): if filter_none and reading["type"] is not None: new_readings.append(reading) elif not filter_none: new_readings.append(reading) elif select_month is not None and consumption["date"]["month"] in select_month and select_year is None: for reading in consumption.get("readings", []): if filter_none and reading["type"] is not None: new_readings.append(reading) elif not filter_none: new_readings.append(reading) if new_readings: consumption["readings"] = new_readings else: indices_to_delete_consumption.append(i) for index in sorted(indices_to_delete_consumption, reverse=True): if index < len(c_raw["consumptions"]): del c_raw["consumptions"][index] _all_date = all_dates new_date = [] sum_by_year = {} for date in _all_date: if select_year is None or date["year"] in select_year: new_date.append(date["year"]) new_date = list(dict.fromkeys(new_date)) cost_consum_types = consum_types sum_by_year = {typ: {year: 0.0 for year in new_date} for typ in cost_consum_types} # pylint: disable=too-many-nested-blocks for item in c_raw.get("consumptions", []): if "readings" not in item or not item["readings"]: continue for reading in item.get("readings", []): if reading.get("type", None) is None: continue for typ in cost_consum_types: for year in new_date: if reading["type"] == typ and item["date"]["year"] == year: if reading["value"]: sum_by_year[typ][year] += round( float(reading["value"].replace(",", ".")), 1, ) else: sum_by_year[typ][year] += round( ( float(reading["additionalValue"].replace(",", ".")) if reading["additionalValue"] is not None else 0.0 ), 1, ) if reading["type"] == "warmwater": sum_by_year["ww"] = reading["unit"] elif reading["type"] == "water": sum_by_year["w"] = reading["unit"] elif reading["type"] == "heating" and reading["unit"]: sum_by_year["h"] = reading["unit"] elif reading["type"] == "heating": sum_by_year["h"] = reading["additionalUnit"] indices_to_delete_costs = [] if "costs" not in c_raw or not isinstance(c_raw.get("costs"), list): c_raw["costs"] = [] for i, costs in enumerate(c_raw.get("costs", [])): new_readings = [] if "costsByEnergyType" in costs: if select_month is None and select_year is None: for reading in costs.get("costsByEnergyType", []): if filter_none and reading["type"] is not None: new_readings.append(reading) elif not filter_none: new_readings.append(reading) elif ( select_year is not None and select_month is not None and costs["date"]["year"] in select_year and costs["date"]["month"] in select_month ): for reading in costs.get("costsByEnergyType", []): if filter_none and reading["type"] is not None: new_readings.append(reading) elif not filter_none: new_readings.append(reading) elif select_year is not None and costs["date"]["year"] in select_year and select_month is None: for reading in costs.get("costsByEnergyType", []): if filter_none and reading["type"] is not None: new_readings.append(reading) elif not filter_none: new_readings.append(reading) elif select_month is not None and costs["date"]["month"] in select_month and select_year is None: for reading in costs.get("costsByEnergyType", []): if filter_none and reading["type"] is not None: new_readings.append(reading) elif not filter_none: new_readings.append(reading) if new_readings: costs["costsByEnergyType"] = new_readings else: indices_to_delete_costs.append(i) for index in sorted(indices_to_delete_costs, reverse=True): if "costs" in c_raw and index < len(c_raw["costs"]): del c_raw["costs"][index] for key in [ "consumptionsBillingPeriods", "costsBillingPeriods", "resident", "co2Emissions", "co2EmissionsBillingPeriods", ]: if key in c_raw: del c_raw[key] consumptions: list = c_raw.get("consumptions", []) costs: list = c_raw.get("costs", []) combined_data = [] for cost_entry in costs: for consumption_entry in consumptions: # Überprüfen, ob die Daten das gleiche Datum haben if cost_entry["date"] == consumption_entry["date"]: # Wenn ja, kombiniere die Kosten- und Verbrauchsdaten in einem Eintrag combined_entry = { "date": cost_entry["date"], "consumptions": consumption_entry["readings"], "costs": cost_entry["costsByEnergyType"], } combined_data.append(combined_entry) total_additional_values = {} total_additional_custom_values = {} for consumption_unit in consumptions: if "readings" not in consumption_unit or not consumption_unit["readings"]: continue for reading in consumption_unit.get("readings", []): if reading["type"] is None or (reading["value"] is None and reading["additionalValue"] is None): continue if reading["type"] not in total_additional_custom_values: total_additional_custom_values[reading["type"]] = 0.0 if reading["additionalValue"]: total_additional_custom_values[reading["type"]] += round( float(reading["additionalValue"].replace(",", ".")), 1 ) else: total_additional_custom_values[reading["type"]] += round( (float(reading["value"].replace(",", ".")) if reading["value"] is not None else 0.0), 1, ) if reading["type"] == "warmwater": total_additional_custom_values["ww"] = reading["additionalUnit"] elif reading["type"] == "water": total_additional_custom_values["w"] = reading["additionalUnit"] elif reading["type"] == "heating" and reading["additionalUnit"]: total_additional_custom_values["h"] = reading["additionalUnit"] elif reading["type"] == "heating": total_additional_custom_values["h"] = reading["unit"] if reading["type"] not in total_additional_values: total_additional_values[reading["type"]] = 0.0 if reading["value"]: total_additional_values[reading["type"]] += round(float(reading["value"].replace(",", ".")), 1) else: total_additional_values[reading["type"]] += round( ( float(reading["additionalValue"].replace(",", ".")) if reading["additionalValue"] is not None else 0.0 ), 1, ) if reading["type"] == "warmwater": total_additional_values["ww"] = reading["unit"] elif reading["type"] == "water": total_additional_values["w"] = reading["unit"] elif reading["type"] == "heating" and reading["unit"]: total_additional_values["h"] = reading["unit"] elif reading["type"] == "heating": total_additional_values["h"] = reading["additionalUnit"] last_value = None last_custom_value = None last_year_compared_consumption = None if consumptions: last_value = {} last_custom_value = {} last_year_compared_consumption = {} if len(consumptions) > 0 and "readings" in consumptions[0] and consumptions[0]["readings"]: for reading in consumptions[0]["readings"]: if reading["type"] is None or (reading["value"] is None and reading["additionalValue"] is None): continue if reading["comparedConsumption"]: last_year_compared_consumption[reading["type"]] = reading["comparedConsumption"] last_year_compared_consumption[reading["type"]]["comparedValue"] = float( last_year_compared_consumption[reading["type"]]["comparedValue"].replace(",", ".") ) if reading["value"]: last_year_compared_consumption[reading["type"]]["nowYearValue"] = float( reading["value"].replace(",", ".") ) elif reading["additionalValue"]: last_year_compared_consumption[reading["type"]]["nowYearValue"] = float( reading["additionalValue"].replace(",", ".") ) if "period" in last_year_compared_consumption[reading["type"]]: del last_year_compared_consumption[reading["type"]]["period"] if reading["type"] not in last_custom_value: last_custom_value[reading["type"]] = 0.0 if reading["additionalValue"]: last_custom_value[reading["type"]] += float(reading["additionalValue"].replace(",", ".")) else: last_custom_value[reading["type"]] += ( float(reading["value"].replace(",", ".")) if reading["value"] is not None else 0.0 ) if reading["type"] == "warmwater": last_custom_value["ww"] = reading["additionalUnit"] elif reading["type"] == "water": last_custom_value["w"] = reading["additionalUnit"] elif reading["type"] == "heating" and reading["additionalUnit"]: last_custom_value["h"] = reading["additionalUnit"] elif reading["type"] == "heating": last_custom_value["h"] = reading["unit"] if reading["type"] not in last_value: last_value[reading["type"]] = 0.0 if reading["value"]: # reading["type"] in ("warmwater", "water", "heating") and last_value[reading["type"]] += float(reading["value"].replace(",", ".")) else: last_value[reading["type"]] += ( float(reading["additionalValue"].replace(",", ".")) if reading["additionalValue"] is not None else 0.0 ) if reading["type"] == "warmwater": last_value["ww"] = reading["unit"] elif reading["type"] == "water": last_value["w"] = reading["unit"] elif reading["type"] == "heating" and reading["additionalUnit"]: last_value["h"] = reading["unit"] elif reading["type"] == "heating": last_value["h"] = reading["additionalUnit"] last_custom_value["month"] = consumptions[0]["date"]["month"] last_custom_value["year"] = consumptions[0]["date"]["year"] last_value["month"] = consumptions[0]["date"]["month"] last_value["year"] = consumptions[0]["date"]["year"] last_costs = None if costs: if last_costs is None: last_costs = {} for costs_by_energy_type in costs[0]["costsByEnergyType"]: # pylint: disable=too-many-boolean-expressions if ( costs_by_energy_type is None or "type" not in costs_by_energy_type or costs_by_energy_type["type"] is None or "comparedCost" not in costs_by_energy_type or costs_by_energy_type["comparedCost"] is None or "smiley" not in costs_by_energy_type["comparedCost"] or costs_by_energy_type["comparedCost"]["smiley"] is None or "comparedPercentage" not in costs_by_energy_type["comparedCost"] or costs_by_energy_type["comparedCost"]["comparedPercentage"] is None ): continue if costs_by_energy_type["type"] not in last_costs: last_costs[costs_by_energy_type["type"]] = 0.0 last_costs[costs_by_energy_type["type"]] += costs_by_energy_type["value"] last_costs["unit"] = costs_by_energy_type["unit"] if costs_by_energy_type["type"] == "warmwater": if costs_by_energy_type["comparedCost"]["smiley"] == ["MAD", "EQUAL"]: last_costs["ww"] = costs_by_energy_type["comparedCost"]["comparedPercentage"] elif costs_by_energy_type["comparedCost"]["smiley"] in ["HAPPY"]: last_costs["ww"] = costs_by_energy_type["comparedCost"]["comparedPercentage"] * -1 elif costs_by_energy_type["type"] == "water": if costs_by_energy_type["comparedCost"]["smiley"] == ["MAD", "EQUAL"]: last_costs["w"] = costs_by_energy_type["comparedCost"]["comparedPercentage"] elif costs_by_energy_type["comparedCost"]["smiley"] in ["HAPPY"]: last_costs["w"] = costs_by_energy_type["comparedCost"]["comparedPercentage"] * -1 elif costs_by_energy_type["type"] == "heating": if costs_by_energy_type["comparedCost"]["smiley"] in ["MAD", "EQUAL"]: last_costs["h"] = costs_by_energy_type["comparedCost"]["comparedPercentage"] elif costs_by_energy_type["comparedCost"]["smiley"] in ["HAPPY"]: last_costs["h"] = costs_by_energy_type["comparedCost"]["comparedPercentage"] * -1 last_costs["month"] = costs[0]["date"]["month"] last_costs["year"] = costs[0]["date"]["year"] return CustomRaw.from_dict( { "consum_types": consum_types, "combined_data": None, # combined_data, "total_additional_values": total_additional_values, "total_additional_custom_values": total_additional_custom_values, "last_value": last_value, "last_custom_value": last_custom_value, "last_costs": last_costs, "all_dates": None, # all_dates, "sum_by_year": sum_by_year, "last_year_compared_consumption": last_year_compared_consumption, } ).to_dict() def get_consumption_data(self, obj_uuid: str | None = None) -> ConsumptionsResponse: """ Fetch consumption data from the API for a specific consumption unit. This method sends a GET request to the ista EcoTrend API to retrieve consumption data for a specific consumption unit identified by the provided UUID. If no UUID is provided, the method uses the UUID associated with the instance. Parameters ---------- obj_uuid : str, optional The UUID of the consumption unit. If not provided, defaults to the UUID associated with the instance (`self._uuid`). Returns ------- ConsumptionsResponse A dictionary containing the consumption data fetched from the API. Raises ------ LoginError If the API responds with an error indicating authorization failure. ParserError If there is an error parsing the request response. ValueError If the provided UUID is invalid. ServerError If there is a server error, connection timeout, or request exception. Examples -------- >>> api = PyEcotrendIsta() >>> data = api.get_consumption_data(obj_uuid="uuid") >>> print(data) """ params = {"consumptionUnitUuid": obj_uuid or self._uuid} url = f"{API_BASE_URL}consumptions" try: with self.session.get( url, params=params, headers=self._header, ) as result: _LOGGER.debug("Performed GET request: %s [%s]:\n%s", url, result.status_code, result.text[:100]) result.raise_for_status() try: return cast(ConsumptionsResponse, result.json()) except requests.JSONDecodeError as exc: raise ParserError("Loading consumption data failed due to an error parsing the request response") from exc except requests.HTTPError as exc: if exc.response.status_code == HTTPStatus.UNAUTHORIZED: raise LoginError("Loading consumption data failed failed due to an authorization failure") from exc if exc.response.status_code == HTTPStatus.BAD_REQUEST: raise ValueError( f"Invalid UUID. Retrieving data for consumption unit {obj_uuid or self._uuid} failed" ) from exc raise ServerError( "Loading consumption data failed due to a server error " f"[{exc.response.status_code}: {exc.response.reason}]" ) from exc except requests.Timeout as exc: raise ServerError("Loading consumption data failed due a connection timeout") from exc except requests.RequestException as exc: raise ServerError("Loading consumption data failed due to a request exception") from exc get_raw = deprecated(get_consumption_data, "get_raw") def get_consumption_unit_details(self) -> ConsumptionUnitDetailsResponse: # numpydoc ignore=ES01,EX01 """ Retrieve details of the consumption unit from the API. Returns ------- ConsumptionUnitDetailsResponse A dictionary containing the details of the consumption unit. Raises ------ LoginError If the API responds with an authorization failure. ParserError If there is an issue with decoding the JSON response ServerError If there is a server error, connection timeout, or request exception. """ url = f"{API_BASE_URL}menu" try: with self.session.get(url, headers=self._header) as r: _LOGGER.debug("Performed GET request: %s [%s]:\n%s", url, r.status_code, r.text) r.raise_for_status() try: return cast(ConsumptionUnitDetailsResponse, r.json()) except requests.JSONDecodeError as exc: raise ParserError( "Loading consumption unit details failed due to an error parsing the request response" ) from exc except requests.HTTPError as exc: if exc.response.status_code == HTTPStatus.UNAUTHORIZED: raise LoginError("Loading consumption unit details failed failed due to an authorization failure") from exc raise ServerError( "Loading consumption unit details failed due to a server error " f"[{exc.response.status_code}: {exc.response.reason}]" ) from exc except requests.Timeout as exc: raise ServerError("Loading consumption unit details failed due a connection timeout") from exc except requests.RequestException as exc: raise ServerError("Loading consumption unit details failed due to a request exception") from exc def get_support_code(self) -> str | None: # numpydoc ignore=ES01,EX01 """ Return the support code associated with the instance. Returns ------- str or None The support code associated with the instance, or None if not set. """ return getattr(self, "_account", {}).get("supportCode") getSupportCode = deprecated(get_support_code, "getSupportCode") # noqa: N815 def get_user_agent(self) -> str: # numpydoc ignore=ES01,EX01 """ Return the User-Agent string used for HTTP requests. Returns ------- str The User-Agent string. Notes ----- This method provides a static User-Agent string commonly used for web browsers. """ return ( "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/101.0.4951.67" " Safari/537.36" ) def demo_user_login(self) -> GetTokenResponse: # numpydoc ignore=ES01,EX01 """ Retrieve authentication tokens for the demo user. Returns ------- GetTokenResponse A TypedDict containing authentication tokens including 'accessToken', 'accessTokenExpiresIn', and 'refreshToken'. Raises ------ ParserError If there is an error parsing the request response. ServerError If there is a server error, connection timeout, or request exception. """ url = f"{API_BASE_URL}demo-user-token" try: self._header["User-Agent"] = self.get_user_agent() with self.session.get(url, headers=self._header) as r: _LOGGER.debug("Performed GET request %s [%s]:\n%s", url, r.status_code, r.text) r.raise_for_status() try: data = r.json() key = iter(GetTokenResponse.__annotations__) token = {next(key): value for value in data.values()} return cast(GetTokenResponse, token) except requests.JSONDecodeError as exc: raise ParserError("Demo user authentication failed due to an error parsing the request response") from exc except requests.HTTPError as exc: raise ServerError( "Demo user authentication failed due to a server error " f"[{exc.response.status_code}: {exc.response.reason}]" ) from exc except requests.Timeout as exc: raise ServerError("Demo user authentication failed due a connection timeout") from exc except requests.RequestException as exc: raise ServerError("Demo user authentication failed due to a request exception") from exc def get_account(self) -> AccountResponse | None: # numpydoc ignore=ES01,EX01 """ Retrieve the account information. Returns the `_account` attribute if it exists, otherwise returns None. Returns ------- AccountResponse | None Account information if available, otherwise None. """ return getattr(self, "_account", None) pyecotrend-ista-3.3.3/src/pyecotrend_ista/types.py000066400000000000000000000337661502151036100223440ustar00rootroot00000000000000# numpydoc ignore=EX01 """ Types for PyEcotrendIsta. This module defines various TypedDicts used in the PyEcotrendIsta client to represent responses and data structures from the ista EcoTrend API. See Also -------- PyEcotrendIsta : The main client class for interacting with the ista EcoTrend API. """ from typing import Any, Literal, TypedDict class GetTokenResponse(TypedDict): # numpydoc ignore=ES01,SA01,EX01,GL01,GL02,GL03 """A TypedDict for the response returned by the getToken function. Attributes ---------- access_token : str The access token issued by the authentication provider. expires_in : int The number of seconds until the access token expires. refresh_token : str The refresh token that can be used to obtain new access tokens. refresh_expires_in : int The number of seconds until the refresh token expires. """ access_token: str expires_in: int refresh_token: str refresh_expires_in: int class AccountResponse(TypedDict): # numpydoc ignore=ES01,SA01,EX01 """ Represents the response for an account in the ista EcoTrend API. Attributes ---------- firstName : str The first name of the account holder. lastName : str The last name of the account holder. email : str The email address of the account holder. keycloakId : str The Keycloak ID associated with the account. country : str The country associated with the account. locale : str The locale setting for the account. authcode : str The authentication code for the account. tos : str The terms of service agreed to by the account holder. tosUpdated : str The date the terms of service were last updated. privacy : str The privacy setting for the account. mobileNumber : str The mobile phone number associated with the account. transitionMobileNumber : str The mobile number used during the transition period. unconfirmedPhoneNumber : str The unconfirmed phone number associated with the account. password : str The password for the account. enabled : bool Indicates whether the account is enabled. consumptionUnitUuids : list of str List of UUIDs for the consumption units. residentTimeRangeUuids : list of str List of UUIDs for the resident time ranges. ads : bool Indicates whether advertisements are enabled. marketing : bool Indicates whether the account holder has opted into marketing communications. fcmToken : str The FCM (Firebase Cloud Messaging) token for push notifications. betaPhase : str Indicates if the account is in the beta phase. notificationMethod : str The method of notification preferred by the account holder. emailConfirmed : bool Indicates whether the email address is confirmed. isDemo : bool Indicates whether the account is a demo account. userGroup : str The user group the account belongs to. mobileLoginStatus : str The status of mobile login for the account. residentAndConsumptionUuidsMap : dict of str to str A map of resident UUIDs to consumption unit UUIDs. activeConsumptionUnit : str The UUID of the active consumption unit. supportCode : str The support code for the account. notificationMethodEmailConfirmed : bool Indicates whether the email for notification method is confirmed. """ firstName: str lastName: str email: str keycloakId: str country: str locale: str authcode: str tos: str tosUpdated: str privacy: str mobileNumber: str transitionMobileNumber: str unconfirmedPhoneNumber: str password: str enabled: bool consumptionUnitUuids: list[str] residentTimeRangeUuids: list[str] ads: bool marketing: bool fcmToken: str betaPhase: str notificationMethod: str emailConfirmed: bool isDemo: bool userGroup: str mobileLoginStatus: str residentAndConsumptionUuidsMap: dict[str, str] activeConsumptionUnit: str supportCode: str notificationMethodEmailConfirmed: bool class IstaMonthYear(TypedDict): # numpydoc ignore=ES01,SA01,EX01 """ A TypedDict representing a month and year. Attributes ---------- month : int The month value. year : int The year value. """ month: int year: int class IstaAverageConsumption(TypedDict): # numpydoc ignore=ES01,SA01,EX01 """ A TypedDict representing average consumption values. Attributes ---------- additionalAverageConsumptionPercentage : int Percentage of additional average consumption. additionalAverageConsumptionValue : str Value of additional average consumption. additionalResidentConsumptionPercentage : int Percentage of additional resident consumption. additionalResidentConsumptionValue : str Value of additional resident consumption. averageConsumptionPercentage : int Percentage of average consumption. averageConsumptionValue : str Value of average consumption. residentConsumptionPercentage : int Percentage of resident consumption. residentConsumptionValue : str Value of resident consumption. """ additionalAverageConsumptionPercentage: int additionalAverageConsumptionValue: str additionalResidentConsumptionPercentage: int additionalResidentConsumptionValue: str averageConsumptionPercentage: int averageConsumptionValue: str residentConsumptionPercentage: int residentConsumptionValue: str class IstaCompared(TypedDict): # numpydoc ignore=ES01,SA01,EX01 """ A TypedDict representing compared values. Attributes ---------- comparedPercentage : int Percentage comparison value. comparedValue : str Compared value. lastYearValue : float Value from the last year. period : IstaMonthYear Period associated with the comparison. smiley : str Smiley associated with the comparison. """ comparedPercentage: int comparedValue: str lastYearValue: float period: IstaMonthYear smiley: str class IstaReading(TypedDict): # numpydoc ignore=ES01,SA01,EX01 """ A TypedDict representing a reading. Attributes ---------- additionalUnit : str Additional unit associated with the reading. additionalValue : str Additional value associated with the reading. averageConsumption : IstaAverageConsumption Average consumption details. comparedConsumption : dict Compared consumption details. comparedCost : IstaCompared Compared cost details. estimated : bool Indicates if the reading is estimated. type : Literal["heating", "warmwater", "water"] Type of the reading (heating, warmwater, water). unit : str Unit of measurement for the reading. value : str Value of the reading. """ additionalUnit: str additionalValue: str averageConsumption: IstaAverageConsumption comparedConsumption: dict comparedCost: IstaCompared estimated: bool type: Literal["heating", "warmwater", "water"] unit: str value: str class IstaTimeRange(TypedDict): # numpydoc ignore=ES01,SA01,EX01 """ A TypedDict representing a time range. Attributes ---------- end : IstaMonthYear The end of the time range. start : IstaMonthYear The start of the time range. """ end: IstaMonthYear start: IstaMonthYear class IstaBillingPeriod(TypedDict): # numpydoc ignore=ES01,SA01,EX01 """ A TypedDict representing a billing period. Attributes ---------- exception : Any, optional Any exceptions related to this billing period. (data type unknown) readings : list[IstaReading] List of readings associated with this billing period. timeRange : IstaTimeRange The time range for this billing period. """ exception: Any readings: list[IstaReading] timeRange: IstaTimeRange class IstaBillingPeriods(TypedDict): # numpydoc ignore=ES01,SA01,EX01 """ A TypedDict representing the billing periods. Attributes ---------- currentBillingPeriod : IstaBillingPeriod The details of the current billing period. previousBillingPeriod : IstaBillingPeriod The details of the previous billing period. """ currentBillingPeriod: IstaBillingPeriod previousBillingPeriod: IstaBillingPeriod class IstaCostsByEnergyType(TypedDict): # numpydoc ignore=ES01,SA01,EX01 """ A TypedDict representing the costs associated with a specific energy type. Attributes ---------- comparedCost : IstaCompared The cost comparison data for the energy type. estimated : bool Indicates whether the cost is estimated. type : Literal["heating", "warmwater", "water"] The type of energy (heating, warm water, or water). unit : str The unit of measurement for the cost. value : int The cost value. """ comparedCost: IstaCompared estimated: bool type: Literal["heating", "warmwater", "water"] unit: str value: int class IstaPeriods(TypedDict): # numpydoc ignore=ES01,SA01,EX01 """ A TypedDict representing data for a specific period. Attributes ---------- date : IstaMonthYear The month and year for the period. documentNumber : str | None The document number associated with the period, if any. exception : Any An exception associated with the period (data type unspecified). isSCEedBasic : bool Indicates if the SCEed basic plan is active for the period. readings : list[IstaReading] A list of readings recorded during the period. costsByEnergyType : list[IstaCostsByEnergyType] A list of costs categorized by energy type for the period. """ date: IstaMonthYear documentNumber: str | None exception: Any isSCEedBasic: bool readings: list[IstaReading] costsByEnergyType: list[IstaCostsByEnergyType] class ConsumptionsResponse(TypedDict, total=False): # numpydoc ignore=ES01,SA01,EX01 """ A TypedDict representing the response structure for consumption data. Attributes ---------- co2Emissions : list[IstaPeriods] A list of CO2 emission data over different periods. co2EmissionsBillingPeriods : list[IstaBillingPeriods] A list of CO2 emission data over different billing periods. consumptionUnitId : str The unique identifier for the consumption unit. consumptions : list[IstaPeriods] A list of consumption data over different periods. consumptionsBillingPeriods : IstaBillingPeriods The consumption data over different billing periods. costs : list[IstaPeriods] A list of cost data over different periods. costsBillingPeriods : IstaBillingPeriods The cost data over different billing periods. isSCEedBasicForCurrentMonth : bool Indicates if the SCEed basic plan is active for the current month. nonEEDBasicStartDate : Any The start date for non-EED basic plan (data type unknown). resident : dict[str, Any] A dictionary containing resident information. """ co2Emissions: list[IstaPeriods] co2EmissionsBillingPeriods: list[IstaBillingPeriods] consumptionUnitId: str consumptions: list[IstaPeriods] consumptionsBillingPeriods: IstaBillingPeriods costs: list[IstaPeriods] costsBillingPeriods: IstaBillingPeriods isSCEedBasicForCurrentMonth: bool nonEEDBasicStartDate: Any resident: dict[str, Any] class IstaConsumptionUnitAddress(TypedDict): # numpydoc ignore=ES01,SA01,EX01 """ Represents the address of a consumption unit. Attributes ---------- street : str The street name of the address. houseNumber : str The house number of the address. postalCode : str The postal code of the address. city : str The city of the address. country : str The country code of the address. floor : str The floor number of the address. propertyNumber : str The property number of the address. consumptionUnitNumber : str The consumption unit number associated with the address. idAtCustomerUser : str The ID assigned to the address at the customer user's end. """ street: str houseNumber: str postalCode: str city: str country: str # country code floor: str propertyNumber: str consumptionUnitNumber: str idAtCustomerUser: str class IstaConsumptionUnitBookedServices(TypedDict): # numpydoc ignore=ES01,SA01,EX01 """ Represents the booked extra services for an Ista consumption unit. Attributes ---------- cost : bool Indicates if cost service is booked. co2 : bool Indicates if CO2 service is booked. """ cost: bool co2: bool class IstaConsumptionUnit(TypedDict): # numpydoc ignore=ES01,SA01,EX01 """ Represents a consumption unit. Attributes ---------- id : str The UUID of the consumption unit. address : IstaConsumptionUnitAddress The address details of the consumption unit. booked : IstaConsumptionUnitBookedServices The booked services for the consumption unit. propertyNumber : str The property number associated with the consumption unit. """ id: str # UUID address: IstaConsumptionUnitAddress booked: IstaConsumptionUnitBookedServices propertyNumber: str class ConsumptionUnitDetailsResponse(TypedDict): # numpydoc ignore=ES01,SA01,EX01 """ Represents the response details for consumption units. Attributes ---------- consumptionUnits : list[IstaConsumptionUnit] The list of consumption units. coBranding : Any Co-branding information (data type unknown). """ consumptionUnits: list[IstaConsumptionUnit] coBranding: Any # #unknown pyecotrend-ista-3.3.3/src/pyecotrend_ista/ua.json000066400000000000000000000164341502151036100221170ustar00rootroot00000000000000[ {"useragent":"Mozilla\/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit\/537.36 (KHTML, like Gecko) Chrome\/114.0.0.0 Safari\/537.36","system":"Chrome Generic Win10"}, {"useragent":"Mozilla\/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit\/537.36 (KHTML, like Gecko) Chrome\/114.0.0.0 Safari\/537.36","system":"Chrome Generic macOS"}, {"useragent":"Mozilla\/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit\/537.36 (KHTML, like Gecko) Chrome\/113.0.0.0 Safari\/537.36","system":"Chrome Generic Win10"}, {"useragent":"Mozilla\/5.0 (Windows NT 10.0; Win64; x64; rv:109.0) Gecko\/20100101 Firefox\/114.0","system":"Firefox Generic Win10"}, {"useragent":"Mozilla\/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit\/537.36 (KHTML, like Gecko) Chrome\/113.0.0.0 Safari\/537.36","system":"Chrome Generic macOS"}, {"useragent":"Mozilla\/5.0 (Windows NT 10.0; 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Win64; x64) AppleWebKit\/537.36 (KHTML, like Gecko) Chrome\/113.0.0.0 Safari\/537.36 Edg\/113.0.1774.57","system":"Edge Generic Win10"}, {"useragent":"Mozilla\/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit\/537.36 (KHTML, like Gecko) Chrome\/114.0.0.0 Safari\/537.36 Edg\/114.0.1823.51","system":"Edge Generic Win10"}, {"useragent":"Mozilla\/5.0 (X11; Ubuntu; Linux x86_64; rv:109.0) Gecko\/20100101 Firefox\/113.0","system":"Firefox Generic Linux"}, {"useragent":"Mozilla\/5.0 (Windows NT 10.0; rv:113.0) Gecko\/20100101 Firefox\/113.0","system":"Firefox Generic Win10"}, {"useragent":"Mozilla\/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit\/537.36 (KHTML, like Gecko) Chrome\/112.0.0.0 Safari\/537.36","system":"Chrome 112.0 Win10"}, {"useragent":"Mozilla\/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit\/605.1.15 (KHTML, like Gecko) Version\/16.4 Safari\/605.1.15","system":"Safari Generic macOS"}, {"useragent":"Mozilla\/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit\/537.36 (KHTML, like Gecko) Chrome\/114.0.0.0 Safari\/537.36 Edg\/114.0.1823.37","system":"Edge Generic Win10"}, {"useragent":"Mozilla\/5.0 (Windows NT 10.0; Win64; x64; rv:102.0) Gecko\/20100101 Firefox\/102.0","system":"Firefox 102.0 Win10"}, {"useragent":"Mozilla\/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit\/537.36 (KHTML, like Gecko) Chrome\/112.0.0.0 Safari\/537.36","system":"Chrome 112.0 macOS"}, {"useragent":"Mozilla\/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit\/605.1.15 (KHTML, like Gecko) Version\/16.3 Safari\/605.1.15","system":"Safari Generic macOS"}, {"useragent":"Mozilla\/5.0 (Windows NT 10.0; rv:102.0) Gecko\/20100101 Firefox\/102.0","system":"Firefox 102.0 Win10"}, {"useragent":"Mozilla\/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit\/537.36 (KHTML, like Gecko) Chrome\/114.0.0.0 Safari\/537.36 Edg\/114.0.1823.58","system":"Edge Generic Win10"}, {"useragent":"Mozilla\/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit\/537.36 (KHTML, like Gecko) Chrome\/99.0.4844.51 Safari\/537.36","system":"Chrome 99.0 Win10"}, {"useragent":"Mozilla\/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit\/537.36 (KHTML, like Gecko) Chrome\/114.0.0.0 Safari\/537.36 Edg\/114.0.1823.41","system":"Edge Generic Win10"}, {"useragent":"Mozilla\/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit\/605.1.15 (KHTML, like Gecko) Version\/16.5.1 Safari\/605.1.15","system":"Safari Generic macOS"}, {"useragent":"Mozilla\/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit\/537.36 (KHTML, like Gecko) Chrome\/112.0.0.0 Safari\/537.36 OPR\/98.0.0.0","system":"Chrome 112.0 Win10"}, {"useragent":"Mozilla\/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit\/537.36 (KHTML, like Gecko) Chrome\/111.0.0.0 Safari\/537.36","system":"Chrome 111.0 macOS"}, {"useragent":"Mozilla\/5.0 (X11; Linux x86_64) AppleWebKit\/537.36 (KHTML, like Gecko) Chrome\/112.0.0.0 Safari\/537.36","system":"Chrome 112.0 Linux"}, {"useragent":"Mozilla\/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit\/537.36 (KHTML, like Gecko) Chrome\/111.0.0.0 Safari\/537.36","system":"Chrome 111.0 Win10"}, {"useragent":"Mozilla\/5.0 (Windows NT 10.0; Win64; x64; rv:109.0) Gecko\/20100101 Firefox\/112.0","system":"Firefox 112.0 Win10"}, {"useragent":"Mozilla\/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit\/605.1.15 (KHTML, like Gecko) Version\/15.6.1 Safari\/605.1.15","system":"Safari 15.6.1 macOS"}, {"useragent":"Mozilla\/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit\/537.36 (KHTML, like Gecko) Chrome\/110.0.0.0 Safari\/537.36","system":"Chrome 110.0 Win10"}, {"useragent":"Mozilla\/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit\/537.36 (KHTML, like Gecko) Chrome\/112.0.0.0 YaBrowser\/23.5.2.625 Yowser\/2.5 Safari\/537.36","system":"Yandex Browser Generic Win10"}, {"useragent":"Mozilla\/5.0 (Macintosh; Intel Mac OS X 10_15_2) AppleWebKit\/537.36 (KHTML, like Gecko) Chrome\/79.0.3945.88 Safari\/537.36","system":"Chrome 79.0 macOS"}, {"useragent":"Mozilla\/5.0 (Windows NT 10.0; Win64; x64; rv:109.0) Gecko\/20100101 Firefox\/115.0","system":"Firefox Generic Win10"}, {"useragent":"Mozilla\/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit\/537.36 (KHTML, like Gecko) Chrome\/107.0.0.0 Safari\/537.36","system":"Chrome 107.0 Win10"}, {"useragent":"Mozilla\/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit\/537.36 (KHTML, like Gecko) Chrome\/108.0.0.0 Safari\/537.36","system":"Chrome 108.0 Win10"}, {"useragent":"Mozilla\/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit\/537.36 (KHTML, like Gecko) Chrome\/108.0.0.0 Safari\/537.36","system":"Chrome 108.0 Win10"} ] pyecotrend-ista-3.3.3/tests/000077500000000000000000000000001502151036100157665ustar00rootroot00000000000000pyecotrend-ista-3.3.3/tests/__init__.py000066400000000000000000000000401502151036100200710ustar00rootroot00000000000000"""Tests for PyEcotrendIsta.""" pyecotrend-ista-3.3.3/tests/__snapshots__/000077500000000000000000000000001502151036100206045ustar00rootroot00000000000000pyecotrend-ista-3.3.3/tests/__snapshots__/test_consumption_unit_details.ambr000066400000000000000000000012761502151036100276360ustar00rootroot00000000000000# serializer version: 1 # name: test_get_consumption_unit_details dict({ 'coBranding': None, 'consumptionUnits': list([ dict({ 'address': dict({ 'city': 'Essen', 'consumptionUnitNumber': '0001', 'country': 'DE', 'floor': '2. OG links', 'houseNumber': '1', 'idAtCustomerUser': '6234XB', 'postalCode': '45131', 'propertyNumber': '112233445', 'street': 'Luxemburger Str.', }), 'booked': dict({ 'co2': False, 'cost': True, }), 'id': '7a226e08-2a90-4db9-ae9b-8148901c6ec2', 'propertyNumber': '57352474', }), ]), }) # --- pyecotrend-ista-3.3.3/tests/__snapshots__/test_consumptions.ambr000066400000000000000000031531431502151036100252610ustar00rootroot00000000000000# serializer version: 1 # name: test_consum_raw dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 1088.0, 2023: 2540.0, 2024: 1666.0, }), 'w': None, 'warmwater': dict({ 2022: 5.800000000000001, 2023: 11.5, 2024: 5.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 5754.2, 'w': None, 'warmwater': 1290.5, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 5294.0, 'w': None, 'warmwater': 22.3, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-None-None] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 1088.0, 2023: 2540.0, 2024: 1666.0, }), 'w': None, 'warmwater': dict({ 2022: 5.800000000000001, 2023: 11.5, 2024: 5.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 5754.2, 'w': None, 'warmwater': 1290.5, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 5294.0, 'w': None, 'warmwater': 22.3, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-None-select_year0] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2024: 1666.0, }), 'w': None, 'warmwater': dict({ 2024: 5.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1810.8000000000002, 'w': None, 'warmwater': 290.2, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1666.0, 'w': None, 'warmwater': 5.0, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-None-select_year1] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 289.0, 'month': 12, 'unit': 'EUR', 'warmwater': 8.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 531.5, 'month': 12, 'w': None, 'warmwater': 63.4, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 489.0, 'month': 12, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 8, 'comparedValue': 45.0, 'lastYearValue': 534.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 10, 'comparedValue': 0.1, 'lastYearValue': 1.0, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2023: 2540.0, }), 'w': None, 'warmwater': dict({ 2023: 11.5, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 2760.8, 'w': None, 'warmwater': 665.9, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 2540.0, 'w': None, 'warmwater': 11.5, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-None-select_year2] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 12, 'unit': None, 'warmwater': None, 'water': None, 'year': 2022, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 580.4, 'month': 12, 'w': None, 'warmwater': 57.6, 'water': None, 'ww': 'kWh', 'year': 2022, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 534.0, 'month': 12, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2022, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 1088.0, }), 'w': None, 'warmwater': dict({ 2022: 5.800000000000001, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1182.6, 'w': None, 'warmwater': 334.4, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1088.0, 'w': None, 'warmwater': 5.800000000000001, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-None-select_year3] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 1088.0, 2024: 1666.0, }), 'w': None, 'warmwater': dict({ 2022: 5.800000000000001, 2024: 5.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 2993.3999999999996, 'w': None, 'warmwater': 624.6, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 2754.0, 'w': None, 'warmwater': 10.799999999999999, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-None-select_year4] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 1088.0, 2023: 2540.0, 2024: 1666.0, }), 'w': None, 'warmwater': dict({ 2022: 5.800000000000001, 2023: 11.5, 2024: 5.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 5754.2, 'w': None, 'warmwater': 1290.5, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 5294.0, 'w': None, 'warmwater': 22.3, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-None-select_year5] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 289.0, 'month': 12, 'unit': 'EUR', 'warmwater': 8.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 531.5, 'month': 12, 'w': None, 'warmwater': 63.4, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 489.0, 'month': 12, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 8, 'comparedValue': 45.0, 'lastYearValue': 534.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 10, 'comparedValue': 0.1, 'lastYearValue': 1.0, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 1088.0, 2023: 2540.0, }), 'w': None, 'warmwater': dict({ 2022: 5.800000000000001, 2023: 11.5, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 3943.3999999999996, 'w': None, 'warmwater': 1000.3000000000001, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 3628.0, 'w': None, 'warmwater': 17.299999999999997, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month1-None] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 306.0, 'month': 2, 'unit': 'EUR', 'warmwater': 6.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 562.0, 'month': 2, 'w': None, 'warmwater': 47.7, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 517.0, 'month': 2, 'w': None, 'warmwater': 0.8, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 6, 'comparedValue': 33.0, 'lastYearValue': 550.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 0, 'comparedValue': 0.0, 'lastYearValue': 0.8, 'period': None, 'smiley': 'EQUAL', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2023: 1148.0, 2024: 1122.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2023: 1.9000000000000001, 2024: 1.8, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 2467.3999999999996, 'w': None, 'warmwater': 216.29999999999998, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 2270.0, 'w': None, 'warmwater': 3.7, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month1-select_year0] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 306.0, 'month': 2, 'unit': 'EUR', 'warmwater': 6.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 562.0, 'month': 2, 'w': None, 'warmwater': 47.7, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 517.0, 'month': 2, 'w': None, 'warmwater': 0.8, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 6, 'comparedValue': 33.0, 'lastYearValue': 550.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 0, 'comparedValue': 0.0, 'lastYearValue': 0.8, 'period': None, 'smiley': 'EQUAL', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2024: 1122.0, }), 'w': None, 'warmwater': dict({ 2024: 1.8, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1219.6, 'w': None, 'warmwater': 106.4, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1122.0, 'w': None, 'warmwater': 1.8, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month1-select_year1] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 2, 'unit': None, 'warmwater': None, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 597.8, 'month': 2, 'w': None, 'warmwater': 48.3, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 550.0, 'month': 2, 'w': None, 'warmwater': 0.8, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2023: 1148.0, }), 'w': None, 'warmwater': dict({ 2023: 1.9000000000000001, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1247.8, 'w': None, 'warmwater': 109.9, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1148.0, 'w': None, 'warmwater': 1.9000000000000001, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month1-select_year2] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': None, 'last_custom_value': None, 'last_value': None, 'last_year_compared_consumption': None, 'sum_by_year': dict({ 'h': None, 'heating': dict({ 2022: 0.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, }), 'water': None, 'ww': None, }), 'total_additional_custom_values': dict({ 'h': None, 'heating': None, 'w': None, 'warmwater': None, 'water': None, 'ww': None, }), 'total_additional_values': dict({ 'h': None, 'heating': None, 'w': None, 'warmwater': None, 'water': None, 'ww': None, }), }) # --- # name: test_consum_raw_filters[False-select_month1-select_year3] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 306.0, 'month': 2, 'unit': 'EUR', 'warmwater': 6.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 562.0, 'month': 2, 'w': None, 'warmwater': 47.7, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 517.0, 'month': 2, 'w': None, 'warmwater': 0.8, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 6, 'comparedValue': 33.0, 'lastYearValue': 550.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 0, 'comparedValue': 0.0, 'lastYearValue': 0.8, 'period': None, 'smiley': 'EQUAL', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2024: 1122.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2024: 1.8, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1219.6, 'w': None, 'warmwater': 106.4, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1122.0, 'w': None, 'warmwater': 1.8, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month1-select_year4] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 306.0, 'month': 2, 'unit': 'EUR', 'warmwater': 6.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 562.0, 'month': 2, 'w': None, 'warmwater': 47.7, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 517.0, 'month': 2, 'w': None, 'warmwater': 0.8, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 6, 'comparedValue': 33.0, 'lastYearValue': 550.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 0, 'comparedValue': 0.0, 'lastYearValue': 0.8, 'period': None, 'smiley': 'EQUAL', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2023: 1148.0, 2024: 1122.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2023: 1.9000000000000001, 2024: 1.8, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 2467.3999999999996, 'w': None, 'warmwater': 216.29999999999998, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 2270.0, 'w': None, 'warmwater': 3.7, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month1-select_year5] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 2, 'unit': None, 'warmwater': None, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 597.8, 'month': 2, 'w': None, 'warmwater': 48.3, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 550.0, 'month': 2, 'w': None, 'warmwater': 0.8, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2023: 1148.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2023: 1.9000000000000001, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1247.8, 'w': None, 'warmwater': 109.9, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1148.0, 'w': None, 'warmwater': 1.9000000000000001, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month10-None] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 554.0, 2023: 2051.0, 2024: 1666.0, }), 'w': None, 'warmwater': dict({ 2022: 4.8, 2023: 10.4, 2024: 5.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 4642.3, 'w': None, 'warmwater': 1169.5, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 4271.0, 'w': None, 'warmwater': 20.2, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month10-select_year0] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2024: 1666.0, }), 'w': None, 'warmwater': dict({ 2024: 5.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1810.8000000000002, 'w': None, 'warmwater': 290.2, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1666.0, 'w': None, 'warmwater': 5.0, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month10-select_year1] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 204.0, 'month': 11, 'unit': 'EUR', 'warmwater': 8.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 375.0, 'month': 11, 'w': None, 'warmwater': 64.5, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 345.0, 'month': 11, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 5, 'comparedValue': 20.0, 'lastYearValue': 365.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 0, 'comparedValue': 0.0, 'lastYearValue': 1.1, 'period': None, 'smiley': 'EQUAL', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2023: 2051.0, }), 'w': None, 'warmwater': dict({ 2023: 10.4, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 2229.3, 'w': None, 'warmwater': 602.5, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 2051.0, 'w': None, 'warmwater': 10.4, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month10-select_year2] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 11, 'unit': None, 'warmwater': None, 'water': None, 'year': 2022, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 396.7, 'month': 11, 'w': None, 'warmwater': 61.1, 'water': None, 'ww': 'kWh', 'year': 2022, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 365.0, 'month': 11, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2022, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 554.0, }), 'w': None, 'warmwater': dict({ 2022: 4.8, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 602.2, 'w': None, 'warmwater': 276.79999999999995, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 554.0, 'w': None, 'warmwater': 4.8, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month10-select_year3] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 554.0, 2024: 1666.0, }), 'w': None, 'warmwater': dict({ 2022: 4.8, 2024: 5.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 2412.9999999999995, 'w': None, 'warmwater': 566.9999999999999, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 2220.0, 'w': None, 'warmwater': 9.8, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month10-select_year4] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 554.0, 2023: 2051.0, 2024: 1666.0, }), 'w': None, 'warmwater': dict({ 2022: 4.8, 2023: 10.4, 2024: 5.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 4642.3, 'w': None, 'warmwater': 1169.5, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 4271.0, 'w': None, 'warmwater': 20.2, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month10-select_year5] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 204.0, 'month': 11, 'unit': 'EUR', 'warmwater': 8.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 375.0, 'month': 11, 'w': None, 'warmwater': 64.5, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 345.0, 'month': 11, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 5, 'comparedValue': 20.0, 'lastYearValue': 365.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 0, 'comparedValue': 0.0, 'lastYearValue': 1.1, 'period': None, 'smiley': 'EQUAL', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 554.0, 2023: 2051.0, }), 'w': None, 'warmwater': dict({ 2022: 4.8, 2023: 10.4, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 2831.4999999999995, 'w': None, 'warmwater': 879.3000000000001, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 2605.0, 'w': None, 'warmwater': 15.2, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month11-None] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 723.0, 2023: 2195.0, 2024: 1666.0, }), 'w': None, 'warmwater': dict({ 2022: 4.7, 2023: 10.4, 2024: 5.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 4982.5, 'w': None, 'warmwater': 1164.9, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 4584.0, 'w': None, 'warmwater': 20.099999999999998, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month11-select_year0] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2024: 1666.0, }), 'w': None, 'warmwater': dict({ 2024: 5.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1810.8000000000002, 'w': None, 'warmwater': 290.2, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1666.0, 'w': None, 'warmwater': 5.0, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month11-select_year1] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 289.0, 'month': 12, 'unit': 'EUR', 'warmwater': 8.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 531.5, 'month': 12, 'w': None, 'warmwater': 63.4, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 489.0, 'month': 12, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 8, 'comparedValue': 45.0, 'lastYearValue': 534.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 10, 'comparedValue': 0.1, 'lastYearValue': 1.0, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2023: 2195.0, }), 'w': None, 'warmwater': dict({ 2023: 10.4, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 2385.8, 'w': None, 'warmwater': 601.4000000000001, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 2195.0, 'w': None, 'warmwater': 10.4, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month11-select_year2] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 12, 'unit': None, 'warmwater': None, 'water': None, 'year': 2022, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 580.4, 'month': 12, 'w': None, 'warmwater': 57.6, 'water': None, 'ww': 'kWh', 'year': 2022, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 534.0, 'month': 12, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2022, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 723.0, }), 'w': None, 'warmwater': dict({ 2022: 4.7, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 785.9000000000001, 'w': None, 'warmwater': 273.29999999999995, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 723.0, 'w': None, 'warmwater': 4.7, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month11-select_year3] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 723.0, 2024: 1666.0, }), 'w': None, 'warmwater': dict({ 2022: 4.7, 2024: 5.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 2596.7, 'w': None, 'warmwater': 563.4999999999999, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 2389.0, 'w': None, 'warmwater': 9.700000000000001, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month11-select_year4] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 723.0, 2023: 2195.0, 2024: 1666.0, }), 'w': None, 'warmwater': dict({ 2022: 4.7, 2023: 10.4, 2024: 5.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 4982.5, 'w': None, 'warmwater': 1164.9, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 4584.0, 'w': None, 'warmwater': 20.099999999999998, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month11-select_year5] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 289.0, 'month': 12, 'unit': 'EUR', 'warmwater': 8.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 531.5, 'month': 12, 'w': None, 'warmwater': 63.4, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 489.0, 'month': 12, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 8, 'comparedValue': 45.0, 'lastYearValue': 534.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 10, 'comparedValue': 0.1, 'lastYearValue': 1.0, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 723.0, 2023: 2195.0, }), 'w': None, 'warmwater': dict({ 2022: 4.7, 2023: 10.4, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 3171.7, 'w': None, 'warmwater': 874.7000000000002, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 2918.0, 'w': None, 'warmwater': 15.1, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month12-None] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 358.0, 'month': 1, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 657.6, 'month': 1, 'w': None, 'warmwater': 58.7, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 605.0, 'month': 1, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 1, 'comparedValue': 7.0, 'lastYearValue': 598.0, 'period': None, 'smiley': 'MAD', }), 'warmwater': dict({ 'comparedPercentage': 9, 'comparedValue': 0.1, 'lastYearValue': 1.1, 'period': None, 'smiley': 'HAPPY', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2023: 598.0, 2024: 605.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2023: 1.1, 2024: 1.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1307.6, 'w': None, 'warmwater': 120.30000000000001, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1203.0, 'w': None, 'warmwater': 2.1, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month12-select_year0] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 358.0, 'month': 1, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 657.6, 'month': 1, 'w': None, 'warmwater': 58.7, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 605.0, 'month': 1, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 1, 'comparedValue': 7.0, 'lastYearValue': 598.0, 'period': None, 'smiley': 'MAD', }), 'warmwater': dict({ 'comparedPercentage': 9, 'comparedValue': 0.1, 'lastYearValue': 1.1, 'period': None, 'smiley': 'HAPPY', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2024: 605.0, }), 'w': None, 'warmwater': dict({ 2024: 1.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 657.6, 'w': None, 'warmwater': 58.7, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 605.0, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month12-select_year1] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 1, 'unit': None, 'warmwater': None, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 650.0, 'month': 1, 'w': None, 'warmwater': 61.6, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 598.0, 'month': 1, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2023: 598.0, }), 'w': None, 'warmwater': dict({ 2023: 1.1, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 650.0, 'w': None, 'warmwater': 61.6, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 598.0, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month12-select_year2] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': None, 'last_custom_value': None, 'last_value': None, 'last_year_compared_consumption': None, 'sum_by_year': dict({ 'h': None, 'heating': dict({ 2022: 0.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, }), 'water': None, 'ww': None, }), 'total_additional_custom_values': dict({ 'h': None, 'heating': None, 'w': None, 'warmwater': None, 'water': None, 'ww': None, }), 'total_additional_values': dict({ 'h': None, 'heating': None, 'w': None, 'warmwater': None, 'water': None, 'ww': None, }), }) # --- # name: test_consum_raw_filters[False-select_month12-select_year3] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 358.0, 'month': 1, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 657.6, 'month': 1, 'w': None, 'warmwater': 58.7, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 605.0, 'month': 1, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 1, 'comparedValue': 7.0, 'lastYearValue': 598.0, 'period': None, 'smiley': 'MAD', }), 'warmwater': dict({ 'comparedPercentage': 9, 'comparedValue': 0.1, 'lastYearValue': 1.1, 'period': None, 'smiley': 'HAPPY', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2024: 605.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2024: 1.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 657.6, 'w': None, 'warmwater': 58.7, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 605.0, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month12-select_year4] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 358.0, 'month': 1, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 657.6, 'month': 1, 'w': None, 'warmwater': 58.7, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 605.0, 'month': 1, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 1, 'comparedValue': 7.0, 'lastYearValue': 598.0, 'period': None, 'smiley': 'MAD', }), 'warmwater': dict({ 'comparedPercentage': 9, 'comparedValue': 0.1, 'lastYearValue': 1.1, 'period': None, 'smiley': 'HAPPY', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2023: 598.0, 2024: 605.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2023: 1.1, 2024: 1.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1307.6, 'w': None, 'warmwater': 120.30000000000001, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1203.0, 'w': None, 'warmwater': 2.1, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month12-select_year5] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 1, 'unit': None, 'warmwater': None, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 650.0, 'month': 1, 'w': None, 'warmwater': 61.6, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 598.0, 'month': 1, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2023: 598.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2023: 1.1, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 650.0, 'w': None, 'warmwater': 61.6, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 598.0, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month13-None] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 306.0, 'month': 2, 'unit': 'EUR', 'warmwater': 6.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 562.0, 'month': 2, 'w': None, 'warmwater': 47.7, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 517.0, 'month': 2, 'w': None, 'warmwater': 0.8, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 6, 'comparedValue': 33.0, 'lastYearValue': 550.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 0, 'comparedValue': 0.0, 'lastYearValue': 0.8, 'period': None, 'smiley': 'EQUAL', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2023: 550.0, 2024: 517.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2023: 0.8, 2024: 0.8, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1159.8, 'w': None, 'warmwater': 96.0, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1067.0, 'w': None, 'warmwater': 1.6, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month13-select_year0] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 306.0, 'month': 2, 'unit': 'EUR', 'warmwater': 6.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 562.0, 'month': 2, 'w': None, 'warmwater': 47.7, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 517.0, 'month': 2, 'w': None, 'warmwater': 0.8, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 6, 'comparedValue': 33.0, 'lastYearValue': 550.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 0, 'comparedValue': 0.0, 'lastYearValue': 0.8, 'period': None, 'smiley': 'EQUAL', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2024: 517.0, }), 'w': None, 'warmwater': dict({ 2024: 0.8, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 562.0, 'w': None, 'warmwater': 47.7, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 517.0, 'w': None, 'warmwater': 0.8, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month13-select_year1] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 2, 'unit': None, 'warmwater': None, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 597.8, 'month': 2, 'w': None, 'warmwater': 48.3, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 550.0, 'month': 2, 'w': None, 'warmwater': 0.8, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2023: 550.0, }), 'w': None, 'warmwater': dict({ 2023: 0.8, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 597.8, 'w': None, 'warmwater': 48.3, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 550.0, 'w': None, 'warmwater': 0.8, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month13-select_year2] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': None, 'last_custom_value': None, 'last_value': None, 'last_year_compared_consumption': None, 'sum_by_year': dict({ 'h': None, 'heating': dict({ 2022: 0.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, }), 'water': None, 'ww': None, }), 'total_additional_custom_values': dict({ 'h': None, 'heating': None, 'w': None, 'warmwater': None, 'water': None, 'ww': None, }), 'total_additional_values': dict({ 'h': None, 'heating': None, 'w': None, 'warmwater': None, 'water': None, 'ww': None, }), }) # --- # name: test_consum_raw_filters[False-select_month13-select_year3] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 306.0, 'month': 2, 'unit': 'EUR', 'warmwater': 6.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 562.0, 'month': 2, 'w': None, 'warmwater': 47.7, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 517.0, 'month': 2, 'w': None, 'warmwater': 0.8, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 6, 'comparedValue': 33.0, 'lastYearValue': 550.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 0, 'comparedValue': 0.0, 'lastYearValue': 0.8, 'period': None, 'smiley': 'EQUAL', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2024: 517.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2024: 0.8, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 562.0, 'w': None, 'warmwater': 47.7, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 517.0, 'w': None, 'warmwater': 0.8, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month13-select_year4] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 306.0, 'month': 2, 'unit': 'EUR', 'warmwater': 6.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 562.0, 'month': 2, 'w': None, 'warmwater': 47.7, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 517.0, 'month': 2, 'w': None, 'warmwater': 0.8, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 6, 'comparedValue': 33.0, 'lastYearValue': 550.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 0, 'comparedValue': 0.0, 'lastYearValue': 0.8, 'period': None, 'smiley': 'EQUAL', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2023: 550.0, 2024: 517.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2023: 0.8, 2024: 0.8, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1159.8, 'w': None, 'warmwater': 96.0, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1067.0, 'w': None, 'warmwater': 1.6, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month13-select_year5] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 2, 'unit': None, 'warmwater': None, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 597.8, 'month': 2, 'w': None, 'warmwater': 48.3, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 550.0, 'month': 2, 'w': None, 'warmwater': 0.8, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2023: 550.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2023: 0.8, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 597.8, 'w': None, 'warmwater': 48.3, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 550.0, 'w': None, 'warmwater': 0.8, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month14-None] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 240.0, 'month': 3, 'unit': 'EUR', 'warmwater': 8.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 440.2, 'month': 3, 'w': None, 'warmwater': 65.7, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 405.0, 'month': 3, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 35, 'comparedValue': 106.0, 'lastYearValue': 299.0, 'period': None, 'smiley': 'MAD', }), 'warmwater': dict({ 'comparedPercentage': 10, 'comparedValue': 0.1, 'lastYearValue': 1.0, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2023: 299.0, 2024: 405.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2023: 1.0, 2024: 1.1, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 765.2, 'w': None, 'warmwater': 126.2, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 704.0, 'w': None, 'warmwater': 2.1, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month14-select_year0] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 240.0, 'month': 3, 'unit': 'EUR', 'warmwater': 8.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 440.2, 'month': 3, 'w': None, 'warmwater': 65.7, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 405.0, 'month': 3, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 35, 'comparedValue': 106.0, 'lastYearValue': 299.0, 'period': None, 'smiley': 'MAD', }), 'warmwater': dict({ 'comparedPercentage': 10, 'comparedValue': 0.1, 'lastYearValue': 1.0, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2024: 405.0, }), 'w': None, 'warmwater': dict({ 2024: 1.1, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 440.2, 'w': None, 'warmwater': 65.7, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 405.0, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month14-select_year1] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 3, 'unit': None, 'warmwater': None, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 325.0, 'month': 3, 'w': None, 'warmwater': 60.5, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 299.0, 'month': 3, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2023: 299.0, }), 'w': None, 'warmwater': dict({ 2023: 1.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 325.0, 'w': None, 'warmwater': 60.5, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 299.0, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month14-select_year2] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': None, 'last_custom_value': None, 'last_value': None, 'last_year_compared_consumption': None, 'sum_by_year': dict({ 'h': None, 'heating': dict({ 2022: 0.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, }), 'water': None, 'ww': None, }), 'total_additional_custom_values': dict({ 'h': None, 'heating': None, 'w': None, 'warmwater': None, 'water': None, 'ww': None, }), 'total_additional_values': dict({ 'h': None, 'heating': None, 'w': None, 'warmwater': None, 'water': None, 'ww': None, }), }) # --- # name: test_consum_raw_filters[False-select_month14-select_year3] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 240.0, 'month': 3, 'unit': 'EUR', 'warmwater': 8.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 440.2, 'month': 3, 'w': None, 'warmwater': 65.7, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 405.0, 'month': 3, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 35, 'comparedValue': 106.0, 'lastYearValue': 299.0, 'period': None, 'smiley': 'MAD', }), 'warmwater': dict({ 'comparedPercentage': 10, 'comparedValue': 0.1, 'lastYearValue': 1.0, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2024: 405.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2024: 1.1, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 440.2, 'w': None, 'warmwater': 65.7, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 405.0, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month14-select_year4] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 240.0, 'month': 3, 'unit': 'EUR', 'warmwater': 8.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 440.2, 'month': 3, 'w': None, 'warmwater': 65.7, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 405.0, 'month': 3, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 35, 'comparedValue': 106.0, 'lastYearValue': 299.0, 'period': None, 'smiley': 'MAD', }), 'warmwater': dict({ 'comparedPercentage': 10, 'comparedValue': 0.1, 'lastYearValue': 1.0, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2023: 299.0, 2024: 405.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2023: 1.0, 2024: 1.1, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 765.2, 'w': None, 'warmwater': 126.2, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 704.0, 'w': None, 'warmwater': 2.1, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month14-select_year5] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 3, 'unit': None, 'warmwater': None, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 325.0, 'month': 3, 'w': None, 'warmwater': 60.5, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 299.0, 'month': 3, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2023: 299.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2023: 1.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 325.0, 'w': None, 'warmwater': 60.5, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 299.0, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month15-None] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 62.0, 'month': 4, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 113.0, 'month': 4, 'w': None, 'warmwater': 61.1, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 104.0, 'month': 4, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 53, 'comparedValue': 36.0, 'lastYearValue': 68.0, 'period': None, 'smiley': 'MAD', }), 'warmwater': dict({ 'comparedPercentage': 10, 'comparedValue': 0.1, 'lastYearValue': 1.0, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2023: 68.0, 2024: 104.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2023: 1.0, 2024: 1.1, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 186.9, 'w': None, 'warmwater': 118.7, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 172.0, 'w': None, 'warmwater': 2.1, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month15-select_year0] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 62.0, 'month': 4, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 113.0, 'month': 4, 'w': None, 'warmwater': 61.1, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 104.0, 'month': 4, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 53, 'comparedValue': 36.0, 'lastYearValue': 68.0, 'period': None, 'smiley': 'MAD', }), 'warmwater': dict({ 'comparedPercentage': 10, 'comparedValue': 0.1, 'lastYearValue': 1.0, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2024: 104.0, }), 'w': None, 'warmwater': dict({ 2024: 1.1, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 113.0, 'w': None, 'warmwater': 61.1, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 104.0, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month15-select_year1] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 4, 'unit': None, 'warmwater': None, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 73.9, 'month': 4, 'w': None, 'warmwater': 57.6, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 68.0, 'month': 4, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2023: 68.0, }), 'w': None, 'warmwater': dict({ 2023: 1.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 73.9, 'w': None, 'warmwater': 57.6, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 68.0, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month15-select_year2] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': None, 'last_custom_value': None, 'last_value': None, 'last_year_compared_consumption': None, 'sum_by_year': dict({ 'h': None, 'heating': dict({ 2022: 0.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, }), 'water': None, 'ww': None, }), 'total_additional_custom_values': dict({ 'h': None, 'heating': None, 'w': None, 'warmwater': None, 'water': None, 'ww': None, }), 'total_additional_values': dict({ 'h': None, 'heating': None, 'w': None, 'warmwater': None, 'water': None, 'ww': None, }), }) # --- # name: test_consum_raw_filters[False-select_month15-select_year3] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 62.0, 'month': 4, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 113.0, 'month': 4, 'w': None, 'warmwater': 61.1, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 104.0, 'month': 4, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 53, 'comparedValue': 36.0, 'lastYearValue': 68.0, 'period': None, 'smiley': 'MAD', }), 'warmwater': dict({ 'comparedPercentage': 10, 'comparedValue': 0.1, 'lastYearValue': 1.0, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2024: 104.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2024: 1.1, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 113.0, 'w': None, 'warmwater': 61.1, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 104.0, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month15-select_year4] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 62.0, 'month': 4, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 113.0, 'month': 4, 'w': None, 'warmwater': 61.1, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 104.0, 'month': 4, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 53, 'comparedValue': 36.0, 'lastYearValue': 68.0, 'period': None, 'smiley': 'MAD', }), 'warmwater': dict({ 'comparedPercentage': 10, 'comparedValue': 0.1, 'lastYearValue': 1.0, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2023: 68.0, 2024: 104.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2023: 1.0, 2024: 1.1, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 186.9, 'w': None, 'warmwater': 118.7, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 172.0, 'w': None, 'warmwater': 2.1, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month15-select_year5] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 4, 'unit': None, 'warmwater': None, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 73.9, 'month': 4, 'w': None, 'warmwater': 57.6, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 68.0, 'month': 4, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2023: 68.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2023: 1.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 73.9, 'w': None, 'warmwater': 57.6, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 68.0, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month16-None] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2023: 45.0, 2024: 35.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2023: 0.7, 2024: 1.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 86.9, 'w': None, 'warmwater': 96.0, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 80.0, 'w': None, 'warmwater': 1.7, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month16-select_year0] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2024: 35.0, }), 'w': None, 'warmwater': dict({ 2024: 1.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 38.0, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 35.0, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month16-select_year1] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 5, 'unit': None, 'warmwater': None, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 48.9, 'month': 5, 'w': None, 'warmwater': 39.0, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 45.0, 'month': 5, 'w': None, 'warmwater': 0.7, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2023: 45.0, }), 'w': None, 'warmwater': dict({ 2023: 0.7, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 48.9, 'w': None, 'warmwater': 39.0, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 45.0, 'w': None, 'warmwater': 0.7, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month16-select_year2] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': None, 'last_custom_value': None, 'last_value': None, 'last_year_compared_consumption': None, 'sum_by_year': dict({ 'h': None, 'heating': dict({ 2022: 0.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, }), 'water': None, 'ww': None, }), 'total_additional_custom_values': dict({ 'h': None, 'heating': None, 'w': None, 'warmwater': None, 'water': None, 'ww': None, }), 'total_additional_values': dict({ 'h': None, 'heating': None, 'w': None, 'warmwater': None, 'water': None, 'ww': None, }), }) # --- # name: test_consum_raw_filters[False-select_month16-select_year3] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2024: 35.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2024: 1.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 38.0, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 35.0, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month16-select_year4] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2023: 45.0, 2024: 35.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2023: 0.7, 2024: 1.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 86.9, 'w': None, 'warmwater': 96.0, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 80.0, 'w': None, 'warmwater': 1.7, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month16-select_year5] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 5, 'unit': None, 'warmwater': None, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 48.9, 'month': 5, 'w': None, 'warmwater': 39.0, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 45.0, 'month': 5, 'w': None, 'warmwater': 0.7, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2023: 45.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2023: 0.7, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 48.9, 'w': None, 'warmwater': 39.0, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 45.0, 'w': None, 'warmwater': 0.7, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month17-None] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 6, 'unit': None, 'warmwater': None, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 0.0, 'month': 6, 'w': None, 'warmwater': 47.1, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 0.0, 'month': 6, 'w': None, 'warmwater': 0.8, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2023: 0.0, 2024: 0.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2023: 0.8, 2024: 0.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 0.0, 'w': None, 'warmwater': 47.1, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 0.0, 'w': None, 'warmwater': 0.8, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month17-select_year0] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': None, 'last_custom_value': None, 'last_value': None, 'last_year_compared_consumption': None, 'sum_by_year': dict({ 'h': None, 'heating': dict({ 2024: 0.0, }), 'w': None, 'warmwater': dict({ 2024: 0.0, }), 'water': None, 'ww': None, }), 'total_additional_custom_values': dict({ 'h': None, 'heating': None, 'w': None, 'warmwater': None, 'water': None, 'ww': None, }), 'total_additional_values': dict({ 'h': None, 'heating': None, 'w': None, 'warmwater': None, 'water': None, 'ww': None, }), }) # --- # name: test_consum_raw_filters[False-select_month17-select_year1] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 6, 'unit': None, 'warmwater': None, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 0.0, 'month': 6, 'w': None, 'warmwater': 47.1, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 0.0, 'month': 6, 'w': None, 'warmwater': 0.8, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2023: 0.0, }), 'w': None, 'warmwater': dict({ 2023: 0.8, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 0.0, 'w': None, 'warmwater': 47.1, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 0.0, 'w': None, 'warmwater': 0.8, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month17-select_year2] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': None, 'last_custom_value': None, 'last_value': None, 'last_year_compared_consumption': None, 'sum_by_year': dict({ 'h': None, 'heating': dict({ 2022: 0.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, }), 'water': None, 'ww': None, }), 'total_additional_custom_values': dict({ 'h': None, 'heating': None, 'w': None, 'warmwater': None, 'water': None, 'ww': None, }), 'total_additional_values': dict({ 'h': None, 'heating': None, 'w': None, 'warmwater': None, 'water': None, 'ww': None, }), }) # --- # name: test_consum_raw_filters[False-select_month17-select_year3] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': None, 'last_custom_value': None, 'last_value': None, 'last_year_compared_consumption': None, 'sum_by_year': dict({ 'h': None, 'heating': dict({ 2022: 0.0, 2024: 0.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2024: 0.0, }), 'water': None, 'ww': None, }), 'total_additional_custom_values': dict({ 'h': None, 'heating': None, 'w': None, 'warmwater': None, 'water': None, 'ww': None, }), 'total_additional_values': dict({ 'h': None, 'heating': None, 'w': None, 'warmwater': None, 'water': None, 'ww': None, }), }) # --- # name: test_consum_raw_filters[False-select_month17-select_year4] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 6, 'unit': None, 'warmwater': None, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 0.0, 'month': 6, 'w': None, 'warmwater': 47.1, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 0.0, 'month': 6, 'w': None, 'warmwater': 0.8, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2023: 0.0, 2024: 0.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2023: 0.8, 2024: 0.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 0.0, 'w': None, 'warmwater': 47.1, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 0.0, 'w': None, 'warmwater': 0.8, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month17-select_year5] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 6, 'unit': None, 'warmwater': None, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 0.0, 'month': 6, 'w': None, 'warmwater': 47.1, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 0.0, 'month': 6, 'w': None, 'warmwater': 0.8, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2023: 0.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2023: 0.8, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 0.0, 'w': None, 'warmwater': 47.1, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 0.0, 'w': None, 'warmwater': 0.8, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month18-None] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 0.0, 'month': 7, 'unit': 'EUR', 'warmwater': 6.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 0.0, 'month': 7, 'w': None, 'warmwater': 52.3, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 0.0, 'month': 7, 'w': None, 'warmwater': 0.9, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 100, 'comparedValue': 2.0, 'lastYearValue': 2.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 0, 'comparedValue': 0.0, 'lastYearValue': 0.9, 'period': None, 'smiley': 'EQUAL', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 2.0, 2023: 0.0, 2024: 0.0, }), 'w': None, 'warmwater': dict({ 2022: 0.9, 2023: 0.9, 2024: 0.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 2.2, 'w': None, 'warmwater': 101.69999999999999, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 2.0, 'w': None, 'warmwater': 1.8, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month18-select_year0] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': None, 'last_custom_value': None, 'last_value': None, 'last_year_compared_consumption': None, 'sum_by_year': dict({ 'h': None, 'heating': dict({ 2024: 0.0, }), 'w': None, 'warmwater': dict({ 2024: 0.0, }), 'water': None, 'ww': None, }), 'total_additional_custom_values': dict({ 'h': None, 'heating': None, 'w': None, 'warmwater': None, 'water': None, 'ww': None, }), 'total_additional_values': dict({ 'h': None, 'heating': None, 'w': None, 'warmwater': None, 'water': None, 'ww': None, }), }) # --- # name: test_consum_raw_filters[False-select_month18-select_year1] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 0.0, 'month': 7, 'unit': 'EUR', 'warmwater': 6.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 0.0, 'month': 7, 'w': None, 'warmwater': 52.3, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 0.0, 'month': 7, 'w': None, 'warmwater': 0.9, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 100, 'comparedValue': 2.0, 'lastYearValue': 2.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 0, 'comparedValue': 0.0, 'lastYearValue': 0.9, 'period': None, 'smiley': 'EQUAL', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2023: 0.0, }), 'w': None, 'warmwater': dict({ 2023: 0.9, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 0.0, 'w': None, 'warmwater': 52.3, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 0.0, 'w': None, 'warmwater': 0.9, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month18-select_year2] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 7, 'unit': None, 'warmwater': None, 'water': None, 'year': 2022, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 2.2, 'month': 7, 'w': None, 'warmwater': 49.4, 'water': None, 'ww': 'kWh', 'year': 2022, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 2.0, 'month': 7, 'w': None, 'warmwater': 0.9, 'water': None, 'ww': 'm³', 'year': 2022, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 2.0, }), 'w': None, 'warmwater': dict({ 2022: 0.9, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 2.2, 'w': None, 'warmwater': 49.4, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 2.0, 'w': None, 'warmwater': 0.9, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month18-select_year3] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 7, 'unit': None, 'warmwater': None, 'water': None, 'year': 2022, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 2.2, 'month': 7, 'w': None, 'warmwater': 49.4, 'water': None, 'ww': 'kWh', 'year': 2022, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 2.0, 'month': 7, 'w': None, 'warmwater': 0.9, 'water': None, 'ww': 'm³', 'year': 2022, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 2.0, 2024: 0.0, }), 'w': None, 'warmwater': dict({ 2022: 0.9, 2024: 0.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 2.2, 'w': None, 'warmwater': 49.4, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 2.0, 'w': None, 'warmwater': 0.9, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month18-select_year4] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 0.0, 'month': 7, 'unit': 'EUR', 'warmwater': 6.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 0.0, 'month': 7, 'w': None, 'warmwater': 52.3, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 0.0, 'month': 7, 'w': None, 'warmwater': 0.9, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 100, 'comparedValue': 2.0, 'lastYearValue': 2.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 0, 'comparedValue': 0.0, 'lastYearValue': 0.9, 'period': None, 'smiley': 'EQUAL', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 2.0, 2023: 0.0, 2024: 0.0, }), 'w': None, 'warmwater': dict({ 2022: 0.9, 2023: 0.9, 2024: 0.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 2.2, 'w': None, 'warmwater': 101.69999999999999, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 2.0, 'w': None, 'warmwater': 1.8, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month18-select_year5] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 0.0, 'month': 7, 'unit': 'EUR', 'warmwater': 6.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 0.0, 'month': 7, 'w': None, 'warmwater': 52.3, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 0.0, 'month': 7, 'w': None, 'warmwater': 0.9, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 100, 'comparedValue': 2.0, 'lastYearValue': 2.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 0, 'comparedValue': 0.0, 'lastYearValue': 0.9, 'period': None, 'smiley': 'EQUAL', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 2.0, 2023: 0.0, }), 'w': None, 'warmwater': dict({ 2022: 0.9, 2023: 0.9, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 2.2, 'w': None, 'warmwater': 101.69999999999999, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 2.0, 'w': None, 'warmwater': 1.8, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month19-None] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 0.0, 'month': 8, 'unit': 'EUR', 'warmwater': 4.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 0.0, 'month': 8, 'w': None, 'warmwater': 32.6, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 0.0, 'month': 8, 'w': None, 'warmwater': 0.6, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 0, 'comparedValue': 0.0, 'lastYearValue': 0.0, 'period': None, 'smiley': 'EQUAL', }), 'warmwater': dict({ 'comparedPercentage': 20, 'comparedValue': 0.1, 'lastYearValue': 0.5, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2023: 0.0, 2024: 0.0, }), 'w': None, 'warmwater': dict({ 2022: 0.5, 2023: 0.6, 2024: 0.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 0.0, 'w': None, 'warmwater': 61.1, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 0.0, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month19-select_year0] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': None, 'last_custom_value': None, 'last_value': None, 'last_year_compared_consumption': None, 'sum_by_year': dict({ 'h': None, 'heating': dict({ 2024: 0.0, }), 'w': None, 'warmwater': dict({ 2024: 0.0, }), 'water': None, 'ww': None, }), 'total_additional_custom_values': dict({ 'h': None, 'heating': None, 'w': None, 'warmwater': None, 'water': None, 'ww': None, }), 'total_additional_values': dict({ 'h': None, 'heating': None, 'w': None, 'warmwater': None, 'water': None, 'ww': None, }), }) # --- # name: test_consum_raw_filters[False-select_month19-select_year1] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 0.0, 'month': 8, 'unit': 'EUR', 'warmwater': 4.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 0.0, 'month': 8, 'w': None, 'warmwater': 32.6, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 0.0, 'month': 8, 'w': None, 'warmwater': 0.6, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 0, 'comparedValue': 0.0, 'lastYearValue': 0.0, 'period': None, 'smiley': 'EQUAL', }), 'warmwater': dict({ 'comparedPercentage': 20, 'comparedValue': 0.1, 'lastYearValue': 0.5, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2023: 0.0, }), 'w': None, 'warmwater': dict({ 2023: 0.6, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 0.0, 'w': None, 'warmwater': 32.6, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 0.0, 'w': None, 'warmwater': 0.6, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month19-select_year2] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 8, 'unit': None, 'warmwater': None, 'water': None, 'year': 2022, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 0.0, 'month': 8, 'w': None, 'warmwater': 28.5, 'water': None, 'ww': 'kWh', 'year': 2022, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 0.0, 'month': 8, 'w': None, 'warmwater': 0.5, 'water': None, 'ww': 'm³', 'year': 2022, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, }), 'w': None, 'warmwater': dict({ 2022: 0.5, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 0.0, 'w': None, 'warmwater': 28.5, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 0.0, 'w': None, 'warmwater': 0.5, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month19-select_year3] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 8, 'unit': None, 'warmwater': None, 'water': None, 'year': 2022, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 0.0, 'month': 8, 'w': None, 'warmwater': 28.5, 'water': None, 'ww': 'kWh', 'year': 2022, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 0.0, 'month': 8, 'w': None, 'warmwater': 0.5, 'water': None, 'ww': 'm³', 'year': 2022, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2024: 0.0, }), 'w': None, 'warmwater': dict({ 2022: 0.5, 2024: 0.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 0.0, 'w': None, 'warmwater': 28.5, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 0.0, 'w': None, 'warmwater': 0.5, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month19-select_year4] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 0.0, 'month': 8, 'unit': 'EUR', 'warmwater': 4.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 0.0, 'month': 8, 'w': None, 'warmwater': 32.6, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 0.0, 'month': 8, 'w': None, 'warmwater': 0.6, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 0, 'comparedValue': 0.0, 'lastYearValue': 0.0, 'period': None, 'smiley': 'EQUAL', }), 'warmwater': dict({ 'comparedPercentage': 20, 'comparedValue': 0.1, 'lastYearValue': 0.5, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2023: 0.0, 2024: 0.0, }), 'w': None, 'warmwater': dict({ 2022: 0.5, 2023: 0.6, 2024: 0.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 0.0, 'w': None, 'warmwater': 61.1, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 0.0, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month19-select_year5] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 0.0, 'month': 8, 'unit': 'EUR', 'warmwater': 4.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 0.0, 'month': 8, 'w': None, 'warmwater': 32.6, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 0.0, 'month': 8, 'w': None, 'warmwater': 0.6, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 0, 'comparedValue': 0.0, 'lastYearValue': 0.0, 'period': None, 'smiley': 'EQUAL', }), 'warmwater': dict({ 'comparedPercentage': 20, 'comparedValue': 0.1, 'lastYearValue': 0.5, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2023: 0.0, }), 'w': None, 'warmwater': dict({ 2022: 0.5, 2023: 0.6, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 0.0, 'w': None, 'warmwater': 61.1, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 0.0, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month2-None] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 240.0, 'month': 3, 'unit': 'EUR', 'warmwater': 8.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 440.2, 'month': 3, 'w': None, 'warmwater': 65.7, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 405.0, 'month': 3, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 35, 'comparedValue': 106.0, 'lastYearValue': 299.0, 'period': None, 'smiley': 'MAD', }), 'warmwater': dict({ 'comparedPercentage': 10, 'comparedValue': 0.1, 'lastYearValue': 1.0, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2023: 1447.0, 2024: 1527.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2023: 2.9000000000000004, 2024: 2.9000000000000004, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 3232.6000000000004, 'w': None, 'warmwater': 342.50000000000006, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 2974.0, 'w': None, 'warmwater': 5.800000000000001, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month2-select_year0] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 240.0, 'month': 3, 'unit': 'EUR', 'warmwater': 8.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 440.2, 'month': 3, 'w': None, 'warmwater': 65.7, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 405.0, 'month': 3, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 35, 'comparedValue': 106.0, 'lastYearValue': 299.0, 'period': None, 'smiley': 'MAD', }), 'warmwater': dict({ 'comparedPercentage': 10, 'comparedValue': 0.1, 'lastYearValue': 1.0, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2024: 1527.0, }), 'w': None, 'warmwater': dict({ 2024: 2.9000000000000004, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1659.8000000000002, 'w': None, 'warmwater': 172.10000000000002, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1527.0, 'w': None, 'warmwater': 2.9000000000000004, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month2-select_year1] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 3, 'unit': None, 'warmwater': None, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 325.0, 'month': 3, 'w': None, 'warmwater': 60.5, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 299.0, 'month': 3, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2023: 1447.0, }), 'w': None, 'warmwater': dict({ 2023: 2.9000000000000004, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1572.8, 'w': None, 'warmwater': 170.4, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1447.0, 'w': None, 'warmwater': 2.9000000000000004, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month2-select_year2] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': None, 'last_custom_value': None, 'last_value': None, 'last_year_compared_consumption': None, 'sum_by_year': dict({ 'h': None, 'heating': dict({ 2022: 0.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, }), 'water': None, 'ww': None, }), 'total_additional_custom_values': dict({ 'h': None, 'heating': None, 'w': None, 'warmwater': None, 'water': None, 'ww': None, }), 'total_additional_values': dict({ 'h': None, 'heating': None, 'w': None, 'warmwater': None, 'water': None, 'ww': None, }), }) # --- # name: test_consum_raw_filters[False-select_month2-select_year3] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 240.0, 'month': 3, 'unit': 'EUR', 'warmwater': 8.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 440.2, 'month': 3, 'w': None, 'warmwater': 65.7, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 405.0, 'month': 3, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 35, 'comparedValue': 106.0, 'lastYearValue': 299.0, 'period': None, 'smiley': 'MAD', }), 'warmwater': dict({ 'comparedPercentage': 10, 'comparedValue': 0.1, 'lastYearValue': 1.0, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2024: 1527.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2024: 2.9000000000000004, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1659.8000000000002, 'w': None, 'warmwater': 172.10000000000002, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1527.0, 'w': None, 'warmwater': 2.9000000000000004, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month2-select_year4] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 240.0, 'month': 3, 'unit': 'EUR', 'warmwater': 8.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 440.2, 'month': 3, 'w': None, 'warmwater': 65.7, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 405.0, 'month': 3, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 35, 'comparedValue': 106.0, 'lastYearValue': 299.0, 'period': None, 'smiley': 'MAD', }), 'warmwater': dict({ 'comparedPercentage': 10, 'comparedValue': 0.1, 'lastYearValue': 1.0, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2023: 1447.0, 2024: 1527.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2023: 2.9000000000000004, 2024: 2.9000000000000004, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 3232.6000000000004, 'w': None, 'warmwater': 342.50000000000006, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 2974.0, 'w': None, 'warmwater': 5.800000000000001, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month2-select_year5] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 3, 'unit': None, 'warmwater': None, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 325.0, 'month': 3, 'w': None, 'warmwater': 60.5, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 299.0, 'month': 3, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2023: 1447.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2023: 2.9000000000000004, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1572.8, 'w': None, 'warmwater': 170.4, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1447.0, 'w': None, 'warmwater': 2.9000000000000004, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month20-None] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 14.0, 'month': 9, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 25.0, 'month': 9, 'w': None, 'warmwater': 60.5, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 23.0, 'month': 9, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 188, 'comparedValue': 15.0, 'lastYearValue': 8.0, 'period': None, 'smiley': 'MAD', }), 'warmwater': dict({ 'comparedPercentage': 9, 'comparedValue': 0.1, 'lastYearValue': 1.1, 'period': None, 'smiley': 'HAPPY', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 8.0, 2023: 23.0, 2024: 0.0, }), 'w': None, 'warmwater': dict({ 2022: 1.1, 2023: 1.0, 2024: 0.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 33.7, 'w': None, 'warmwater': 126.2, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 31.0, 'w': None, 'warmwater': 2.1, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month20-select_year0] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': None, 'last_custom_value': None, 'last_value': None, 'last_year_compared_consumption': None, 'sum_by_year': dict({ 'h': None, 'heating': dict({ 2024: 0.0, }), 'w': None, 'warmwater': dict({ 2024: 0.0, }), 'water': None, 'ww': None, }), 'total_additional_custom_values': dict({ 'h': None, 'heating': None, 'w': None, 'warmwater': None, 'water': None, 'ww': None, }), 'total_additional_values': dict({ 'h': None, 'heating': None, 'w': None, 'warmwater': None, 'water': None, 'ww': None, }), }) # --- # name: test_consum_raw_filters[False-select_month20-select_year1] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 14.0, 'month': 9, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 25.0, 'month': 9, 'w': None, 'warmwater': 60.5, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 23.0, 'month': 9, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 188, 'comparedValue': 15.0, 'lastYearValue': 8.0, 'period': None, 'smiley': 'MAD', }), 'warmwater': dict({ 'comparedPercentage': 9, 'comparedValue': 0.1, 'lastYearValue': 1.1, 'period': None, 'smiley': 'HAPPY', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2023: 23.0, }), 'w': None, 'warmwater': dict({ 2023: 1.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 25.0, 'w': None, 'warmwater': 60.5, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 23.0, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month20-select_year2] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 9, 'unit': None, 'warmwater': None, 'water': None, 'year': 2022, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 8.7, 'month': 9, 'w': None, 'warmwater': 65.7, 'water': None, 'ww': 'kWh', 'year': 2022, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 8.0, 'month': 9, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2022, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 8.0, }), 'w': None, 'warmwater': dict({ 2022: 1.1, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 8.7, 'w': None, 'warmwater': 65.7, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 8.0, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month20-select_year3] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 9, 'unit': None, 'warmwater': None, 'water': None, 'year': 2022, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 8.7, 'month': 9, 'w': None, 'warmwater': 65.7, 'water': None, 'ww': 'kWh', 'year': 2022, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 8.0, 'month': 9, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2022, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 8.0, 2024: 0.0, }), 'w': None, 'warmwater': dict({ 2022: 1.1, 2024: 0.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 8.7, 'w': None, 'warmwater': 65.7, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 8.0, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month20-select_year4] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 14.0, 'month': 9, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 25.0, 'month': 9, 'w': None, 'warmwater': 60.5, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 23.0, 'month': 9, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 188, 'comparedValue': 15.0, 'lastYearValue': 8.0, 'period': None, 'smiley': 'MAD', }), 'warmwater': dict({ 'comparedPercentage': 9, 'comparedValue': 0.1, 'lastYearValue': 1.1, 'period': None, 'smiley': 'HAPPY', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 8.0, 2023: 23.0, 2024: 0.0, }), 'w': None, 'warmwater': dict({ 2022: 1.1, 2023: 1.0, 2024: 0.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 33.7, 'w': None, 'warmwater': 126.2, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 31.0, 'w': None, 'warmwater': 2.1, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month20-select_year5] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 14.0, 'month': 9, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 25.0, 'month': 9, 'w': None, 'warmwater': 60.5, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 23.0, 'month': 9, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 188, 'comparedValue': 15.0, 'lastYearValue': 8.0, 'period': None, 'smiley': 'MAD', }), 'warmwater': dict({ 'comparedPercentage': 9, 'comparedValue': 0.1, 'lastYearValue': 1.1, 'period': None, 'smiley': 'HAPPY', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 8.0, 2023: 23.0, }), 'w': None, 'warmwater': dict({ 2022: 1.1, 2023: 1.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 33.7, 'w': None, 'warmwater': 126.2, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 31.0, 'w': None, 'warmwater': 2.1, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month21-None] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 73.0, 'month': 10, 'unit': 'EUR', 'warmwater': 9.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 133.7, 'month': 10, 'w': None, 'warmwater': 78.5, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 123.0, 'month': 10, 'w': None, 'warmwater': 1.4, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 31, 'comparedValue': 56.0, 'lastYearValue': 179.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 17, 'comparedValue': 0.2, 'lastYearValue': 1.2, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 179.0, 2023: 123.0, 2024: 0.0, }), 'w': None, 'warmwater': dict({ 2022: 1.2, 2023: 1.4, 2024: 0.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 328.29999999999995, 'w': None, 'warmwater': 150.6, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 302.0, 'w': None, 'warmwater': 2.5999999999999996, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month21-select_year0] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': None, 'last_custom_value': None, 'last_value': None, 'last_year_compared_consumption': None, 'sum_by_year': dict({ 'h': None, 'heating': dict({ 2024: 0.0, }), 'w': None, 'warmwater': dict({ 2024: 0.0, }), 'water': None, 'ww': None, }), 'total_additional_custom_values': dict({ 'h': None, 'heating': None, 'w': None, 'warmwater': None, 'water': None, 'ww': None, }), 'total_additional_values': dict({ 'h': None, 'heating': None, 'w': None, 'warmwater': None, 'water': None, 'ww': None, }), }) # --- # name: test_consum_raw_filters[False-select_month21-select_year1] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 73.0, 'month': 10, 'unit': 'EUR', 'warmwater': 9.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 133.7, 'month': 10, 'w': None, 'warmwater': 78.5, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 123.0, 'month': 10, 'w': None, 'warmwater': 1.4, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 31, 'comparedValue': 56.0, 'lastYearValue': 179.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 17, 'comparedValue': 0.2, 'lastYearValue': 1.2, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2023: 123.0, }), 'w': None, 'warmwater': dict({ 2023: 1.4, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 133.7, 'w': None, 'warmwater': 78.5, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 123.0, 'w': None, 'warmwater': 1.4, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month21-select_year2] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 10, 'unit': None, 'warmwater': None, 'water': None, 'year': 2022, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 194.6, 'month': 10, 'w': None, 'warmwater': 72.1, 'water': None, 'ww': 'kWh', 'year': 2022, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 179.0, 'month': 10, 'w': None, 'warmwater': 1.2, 'water': None, 'ww': 'm³', 'year': 2022, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 179.0, }), 'w': None, 'warmwater': dict({ 2022: 1.2, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 194.6, 'w': None, 'warmwater': 72.1, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 179.0, 'w': None, 'warmwater': 1.2, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month21-select_year3] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 10, 'unit': None, 'warmwater': None, 'water': None, 'year': 2022, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 194.6, 'month': 10, 'w': None, 'warmwater': 72.1, 'water': None, 'ww': 'kWh', 'year': 2022, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 179.0, 'month': 10, 'w': None, 'warmwater': 1.2, 'water': None, 'ww': 'm³', 'year': 2022, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 179.0, 2024: 0.0, }), 'w': None, 'warmwater': dict({ 2022: 1.2, 2024: 0.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 194.6, 'w': None, 'warmwater': 72.1, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 179.0, 'w': None, 'warmwater': 1.2, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month21-select_year4] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 73.0, 'month': 10, 'unit': 'EUR', 'warmwater': 9.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 133.7, 'month': 10, 'w': None, 'warmwater': 78.5, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 123.0, 'month': 10, 'w': None, 'warmwater': 1.4, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 31, 'comparedValue': 56.0, 'lastYearValue': 179.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 17, 'comparedValue': 0.2, 'lastYearValue': 1.2, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 179.0, 2023: 123.0, 2024: 0.0, }), 'w': None, 'warmwater': dict({ 2022: 1.2, 2023: 1.4, 2024: 0.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 328.29999999999995, 'w': None, 'warmwater': 150.6, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 302.0, 'w': None, 'warmwater': 2.5999999999999996, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month21-select_year5] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 73.0, 'month': 10, 'unit': 'EUR', 'warmwater': 9.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 133.7, 'month': 10, 'w': None, 'warmwater': 78.5, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 123.0, 'month': 10, 'w': None, 'warmwater': 1.4, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 31, 'comparedValue': 56.0, 'lastYearValue': 179.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 17, 'comparedValue': 0.2, 'lastYearValue': 1.2, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 179.0, 2023: 123.0, }), 'w': None, 'warmwater': dict({ 2022: 1.2, 2023: 1.4, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 328.29999999999995, 'w': None, 'warmwater': 150.6, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 302.0, 'w': None, 'warmwater': 2.5999999999999996, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month22-None] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 204.0, 'month': 11, 'unit': 'EUR', 'warmwater': 8.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 375.0, 'month': 11, 'w': None, 'warmwater': 64.5, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 345.0, 'month': 11, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 5, 'comparedValue': 20.0, 'lastYearValue': 365.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 0, 'comparedValue': 0.0, 'lastYearValue': 1.1, 'period': None, 'smiley': 'EQUAL', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 365.0, 2023: 345.0, 2024: 0.0, }), 'w': None, 'warmwater': dict({ 2022: 1.1, 2023: 1.1, 2024: 0.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 771.7, 'w': None, 'warmwater': 125.6, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 710.0, 'w': None, 'warmwater': 2.2, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month22-select_year0] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': None, 'last_custom_value': None, 'last_value': None, 'last_year_compared_consumption': None, 'sum_by_year': dict({ 'h': None, 'heating': dict({ 2024: 0.0, }), 'w': None, 'warmwater': dict({ 2024: 0.0, }), 'water': None, 'ww': None, }), 'total_additional_custom_values': dict({ 'h': None, 'heating': None, 'w': None, 'warmwater': None, 'water': None, 'ww': None, }), 'total_additional_values': dict({ 'h': None, 'heating': None, 'w': None, 'warmwater': None, 'water': None, 'ww': None, }), }) # --- # name: test_consum_raw_filters[False-select_month22-select_year1] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 204.0, 'month': 11, 'unit': 'EUR', 'warmwater': 8.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 375.0, 'month': 11, 'w': None, 'warmwater': 64.5, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 345.0, 'month': 11, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 5, 'comparedValue': 20.0, 'lastYearValue': 365.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 0, 'comparedValue': 0.0, 'lastYearValue': 1.1, 'period': None, 'smiley': 'EQUAL', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2023: 345.0, }), 'w': None, 'warmwater': dict({ 2023: 1.1, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 375.0, 'w': None, 'warmwater': 64.5, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 345.0, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month22-select_year2] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 11, 'unit': None, 'warmwater': None, 'water': None, 'year': 2022, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 396.7, 'month': 11, 'w': None, 'warmwater': 61.1, 'water': None, 'ww': 'kWh', 'year': 2022, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 365.0, 'month': 11, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2022, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 365.0, }), 'w': None, 'warmwater': dict({ 2022: 1.1, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 396.7, 'w': None, 'warmwater': 61.1, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 365.0, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month22-select_year3] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 11, 'unit': None, 'warmwater': None, 'water': None, 'year': 2022, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 396.7, 'month': 11, 'w': None, 'warmwater': 61.1, 'water': None, 'ww': 'kWh', 'year': 2022, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 365.0, 'month': 11, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2022, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 365.0, 2024: 0.0, }), 'w': None, 'warmwater': dict({ 2022: 1.1, 2024: 0.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 396.7, 'w': None, 'warmwater': 61.1, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 365.0, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month22-select_year4] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 204.0, 'month': 11, 'unit': 'EUR', 'warmwater': 8.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 375.0, 'month': 11, 'w': None, 'warmwater': 64.5, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 345.0, 'month': 11, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 5, 'comparedValue': 20.0, 'lastYearValue': 365.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 0, 'comparedValue': 0.0, 'lastYearValue': 1.1, 'period': None, 'smiley': 'EQUAL', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 365.0, 2023: 345.0, 2024: 0.0, }), 'w': None, 'warmwater': dict({ 2022: 1.1, 2023: 1.1, 2024: 0.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 771.7, 'w': None, 'warmwater': 125.6, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 710.0, 'w': None, 'warmwater': 2.2, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month22-select_year5] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 204.0, 'month': 11, 'unit': 'EUR', 'warmwater': 8.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 375.0, 'month': 11, 'w': None, 'warmwater': 64.5, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 345.0, 'month': 11, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 5, 'comparedValue': 20.0, 'lastYearValue': 365.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 0, 'comparedValue': 0.0, 'lastYearValue': 1.1, 'period': None, 'smiley': 'EQUAL', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 365.0, 2023: 345.0, }), 'w': None, 'warmwater': dict({ 2022: 1.1, 2023: 1.1, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 771.7, 'w': None, 'warmwater': 125.6, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 710.0, 'w': None, 'warmwater': 2.2, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month23-None] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 289.0, 'month': 12, 'unit': 'EUR', 'warmwater': 8.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 531.5, 'month': 12, 'w': None, 'warmwater': 63.4, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 489.0, 'month': 12, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 8, 'comparedValue': 45.0, 'lastYearValue': 534.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 10, 'comparedValue': 0.1, 'lastYearValue': 1.0, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 534.0, 2023: 489.0, 2024: 0.0, }), 'w': None, 'warmwater': dict({ 2022: 1.0, 2023: 1.1, 2024: 0.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1111.9, 'w': None, 'warmwater': 121.0, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1023.0, 'w': None, 'warmwater': 2.1, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month23-select_year0] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': None, 'last_custom_value': None, 'last_value': None, 'last_year_compared_consumption': None, 'sum_by_year': dict({ 'h': None, 'heating': dict({ 2024: 0.0, }), 'w': None, 'warmwater': dict({ 2024: 0.0, }), 'water': None, 'ww': None, }), 'total_additional_custom_values': dict({ 'h': None, 'heating': None, 'w': None, 'warmwater': None, 'water': None, 'ww': None, }), 'total_additional_values': dict({ 'h': None, 'heating': None, 'w': None, 'warmwater': None, 'water': None, 'ww': None, }), }) # --- # name: test_consum_raw_filters[False-select_month23-select_year1] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 289.0, 'month': 12, 'unit': 'EUR', 'warmwater': 8.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 531.5, 'month': 12, 'w': None, 'warmwater': 63.4, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 489.0, 'month': 12, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 8, 'comparedValue': 45.0, 'lastYearValue': 534.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 10, 'comparedValue': 0.1, 'lastYearValue': 1.0, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2023: 489.0, }), 'w': None, 'warmwater': dict({ 2023: 1.1, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 531.5, 'w': None, 'warmwater': 63.4, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 489.0, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month23-select_year2] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 12, 'unit': None, 'warmwater': None, 'water': None, 'year': 2022, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 580.4, 'month': 12, 'w': None, 'warmwater': 57.6, 'water': None, 'ww': 'kWh', 'year': 2022, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 534.0, 'month': 12, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2022, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 534.0, }), 'w': None, 'warmwater': dict({ 2022: 1.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 580.4, 'w': None, 'warmwater': 57.6, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 534.0, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month23-select_year3] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 12, 'unit': None, 'warmwater': None, 'water': None, 'year': 2022, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 580.4, 'month': 12, 'w': None, 'warmwater': 57.6, 'water': None, 'ww': 'kWh', 'year': 2022, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 534.0, 'month': 12, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2022, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 534.0, 2024: 0.0, }), 'w': None, 'warmwater': dict({ 2022: 1.0, 2024: 0.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 580.4, 'w': None, 'warmwater': 57.6, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 534.0, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month23-select_year4] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 289.0, 'month': 12, 'unit': 'EUR', 'warmwater': 8.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 531.5, 'month': 12, 'w': None, 'warmwater': 63.4, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 489.0, 'month': 12, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 8, 'comparedValue': 45.0, 'lastYearValue': 534.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 10, 'comparedValue': 0.1, 'lastYearValue': 1.0, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 534.0, 2023: 489.0, 2024: 0.0, }), 'w': None, 'warmwater': dict({ 2022: 1.0, 2023: 1.1, 2024: 0.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1111.9, 'w': None, 'warmwater': 121.0, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1023.0, 'w': None, 'warmwater': 2.1, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month23-select_year5] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 289.0, 'month': 12, 'unit': 'EUR', 'warmwater': 8.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 531.5, 'month': 12, 'w': None, 'warmwater': 63.4, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 489.0, 'month': 12, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 8, 'comparedValue': 45.0, 'lastYearValue': 534.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 10, 'comparedValue': 0.1, 'lastYearValue': 1.0, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 534.0, 2023: 489.0, }), 'w': None, 'warmwater': dict({ 2022: 1.0, 2023: 1.1, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1111.9, 'w': None, 'warmwater': 121.0, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1023.0, 'w': None, 'warmwater': 2.1, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month24-None] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 358.0, 'month': 1, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 657.6, 'month': 1, 'w': None, 'warmwater': 58.7, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 605.0, 'month': 1, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 1, 'comparedValue': 7.0, 'lastYearValue': 598.0, 'period': None, 'smiley': 'MAD', }), 'warmwater': dict({ 'comparedPercentage': 9, 'comparedValue': 0.1, 'lastYearValue': 1.1, 'period': None, 'smiley': 'HAPPY', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 534.0, 2023: 1087.0, 2024: 605.0, }), 'w': None, 'warmwater': dict({ 2022: 1.0, 2023: 2.2, 2024: 1.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 2419.5, 'w': None, 'warmwater': 241.29999999999998, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 2226.0, 'w': None, 'warmwater': 4.2, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month24-select_year0] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 358.0, 'month': 1, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 657.6, 'month': 1, 'w': None, 'warmwater': 58.7, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 605.0, 'month': 1, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 1, 'comparedValue': 7.0, 'lastYearValue': 598.0, 'period': None, 'smiley': 'MAD', }), 'warmwater': dict({ 'comparedPercentage': 9, 'comparedValue': 0.1, 'lastYearValue': 1.1, 'period': None, 'smiley': 'HAPPY', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2024: 605.0, }), 'w': None, 'warmwater': dict({ 2024: 1.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 657.6, 'w': None, 'warmwater': 58.7, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 605.0, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month24-select_year1] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 289.0, 'month': 12, 'unit': 'EUR', 'warmwater': 8.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 531.5, 'month': 12, 'w': None, 'warmwater': 63.4, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 489.0, 'month': 12, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 8, 'comparedValue': 45.0, 'lastYearValue': 534.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 10, 'comparedValue': 0.1, 'lastYearValue': 1.0, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2023: 1087.0, }), 'w': None, 'warmwater': dict({ 2023: 2.2, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1181.5, 'w': None, 'warmwater': 125.0, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1087.0, 'w': None, 'warmwater': 2.2, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month24-select_year2] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 12, 'unit': None, 'warmwater': None, 'water': None, 'year': 2022, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 580.4, 'month': 12, 'w': None, 'warmwater': 57.6, 'water': None, 'ww': 'kWh', 'year': 2022, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 534.0, 'month': 12, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2022, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 534.0, }), 'w': None, 'warmwater': dict({ 2022: 1.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 580.4, 'w': None, 'warmwater': 57.6, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 534.0, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month24-select_year3] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 358.0, 'month': 1, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 657.6, 'month': 1, 'w': None, 'warmwater': 58.7, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 605.0, 'month': 1, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 1, 'comparedValue': 7.0, 'lastYearValue': 598.0, 'period': None, 'smiley': 'MAD', }), 'warmwater': dict({ 'comparedPercentage': 9, 'comparedValue': 0.1, 'lastYearValue': 1.1, 'period': None, 'smiley': 'HAPPY', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 534.0, 2024: 605.0, }), 'w': None, 'warmwater': dict({ 2022: 1.0, 2024: 1.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1238.0, 'w': None, 'warmwater': 116.30000000000001, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1139.0, 'w': None, 'warmwater': 2.0, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month24-select_year4] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 358.0, 'month': 1, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 657.6, 'month': 1, 'w': None, 'warmwater': 58.7, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 605.0, 'month': 1, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 1, 'comparedValue': 7.0, 'lastYearValue': 598.0, 'period': None, 'smiley': 'MAD', }), 'warmwater': dict({ 'comparedPercentage': 9, 'comparedValue': 0.1, 'lastYearValue': 1.1, 'period': None, 'smiley': 'HAPPY', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 534.0, 2023: 1087.0, 2024: 605.0, }), 'w': None, 'warmwater': dict({ 2022: 1.0, 2023: 2.2, 2024: 1.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 2419.5, 'w': None, 'warmwater': 241.29999999999998, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 2226.0, 'w': None, 'warmwater': 4.2, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month24-select_year5] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 289.0, 'month': 12, 'unit': 'EUR', 'warmwater': 8.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 531.5, 'month': 12, 'w': None, 'warmwater': 63.4, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 489.0, 'month': 12, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 8, 'comparedValue': 45.0, 'lastYearValue': 534.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 10, 'comparedValue': 0.1, 'lastYearValue': 1.0, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 534.0, 2023: 1087.0, }), 'w': None, 'warmwater': dict({ 2022: 1.0, 2023: 2.2, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1761.9, 'w': None, 'warmwater': 182.6, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1621.0, 'w': None, 'warmwater': 3.2, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month25-None] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 240.0, 'month': 3, 'unit': 'EUR', 'warmwater': 8.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 440.2, 'month': 3, 'w': None, 'warmwater': 65.7, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 405.0, 'month': 3, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 35, 'comparedValue': 106.0, 'lastYearValue': 299.0, 'period': None, 'smiley': 'MAD', }), 'warmwater': dict({ 'comparedPercentage': 10, 'comparedValue': 0.1, 'lastYearValue': 1.0, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 534.0, 2023: 1338.0, 2024: 922.0, }), 'w': None, 'warmwater': dict({ 2022: 1.0, 2023: 2.9000000000000004, 2024: 1.9000000000000001, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 3036.9, 'w': None, 'warmwater': 343.20000000000005, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 2794.0, 'w': None, 'warmwater': 5.8, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month25-select_year0] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 240.0, 'month': 3, 'unit': 'EUR', 'warmwater': 8.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 440.2, 'month': 3, 'w': None, 'warmwater': 65.7, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 405.0, 'month': 3, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 35, 'comparedValue': 106.0, 'lastYearValue': 299.0, 'period': None, 'smiley': 'MAD', }), 'warmwater': dict({ 'comparedPercentage': 10, 'comparedValue': 0.1, 'lastYearValue': 1.0, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2024: 922.0, }), 'w': None, 'warmwater': dict({ 2024: 1.9000000000000001, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1002.2, 'w': None, 'warmwater': 113.4, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 922.0, 'w': None, 'warmwater': 1.9000000000000001, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month25-select_year1] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 289.0, 'month': 12, 'unit': 'EUR', 'warmwater': 8.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 531.5, 'month': 12, 'w': None, 'warmwater': 63.4, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 489.0, 'month': 12, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 8, 'comparedValue': 45.0, 'lastYearValue': 534.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 10, 'comparedValue': 0.1, 'lastYearValue': 1.0, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2023: 1338.0, }), 'w': None, 'warmwater': dict({ 2023: 2.9000000000000004, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1454.3, 'w': None, 'warmwater': 172.2, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1338.0, 'w': None, 'warmwater': 2.9000000000000004, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month25-select_year2] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 12, 'unit': None, 'warmwater': None, 'water': None, 'year': 2022, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 580.4, 'month': 12, 'w': None, 'warmwater': 57.6, 'water': None, 'ww': 'kWh', 'year': 2022, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 534.0, 'month': 12, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2022, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 534.0, }), 'w': None, 'warmwater': dict({ 2022: 1.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 580.4, 'w': None, 'warmwater': 57.6, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 534.0, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month25-select_year3] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 240.0, 'month': 3, 'unit': 'EUR', 'warmwater': 8.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 440.2, 'month': 3, 'w': None, 'warmwater': 65.7, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 405.0, 'month': 3, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 35, 'comparedValue': 106.0, 'lastYearValue': 299.0, 'period': None, 'smiley': 'MAD', }), 'warmwater': dict({ 'comparedPercentage': 10, 'comparedValue': 0.1, 'lastYearValue': 1.0, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 534.0, 2024: 922.0, }), 'w': None, 'warmwater': dict({ 2022: 1.0, 2024: 1.9000000000000001, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1582.6, 'w': None, 'warmwater': 171.0, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1456.0, 'w': None, 'warmwater': 2.9000000000000004, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month25-select_year4] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 240.0, 'month': 3, 'unit': 'EUR', 'warmwater': 8.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 440.2, 'month': 3, 'w': None, 'warmwater': 65.7, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 405.0, 'month': 3, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 35, 'comparedValue': 106.0, 'lastYearValue': 299.0, 'period': None, 'smiley': 'MAD', }), 'warmwater': dict({ 'comparedPercentage': 10, 'comparedValue': 0.1, 'lastYearValue': 1.0, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 534.0, 2023: 1338.0, 2024: 922.0, }), 'w': None, 'warmwater': dict({ 2022: 1.0, 2023: 2.9000000000000004, 2024: 1.9000000000000001, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 3036.9, 'w': None, 'warmwater': 343.20000000000005, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 2794.0, 'w': None, 'warmwater': 5.8, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month25-select_year5] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 289.0, 'month': 12, 'unit': 'EUR', 'warmwater': 8.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 531.5, 'month': 12, 'w': None, 'warmwater': 63.4, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 489.0, 'month': 12, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 8, 'comparedValue': 45.0, 'lastYearValue': 534.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 10, 'comparedValue': 0.1, 'lastYearValue': 1.0, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 534.0, 2023: 1338.0, }), 'w': None, 'warmwater': dict({ 2022: 1.0, 2023: 2.9000000000000004, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 2034.6999999999998, 'w': None, 'warmwater': 229.79999999999998, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1872.0, 'w': None, 'warmwater': 3.9000000000000004, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month26-None] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 62.0, 'month': 4, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 113.0, 'month': 4, 'w': None, 'warmwater': 61.1, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 104.0, 'month': 4, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 53, 'comparedValue': 36.0, 'lastYearValue': 68.0, 'period': None, 'smiley': 'MAD', }), 'warmwater': dict({ 'comparedPercentage': 10, 'comparedValue': 0.1, 'lastYearValue': 1.0, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 534.0, 2023: 856.0, 2024: 509.0, }), 'w': None, 'warmwater': dict({ 2022: 1.0, 2023: 3.1, 2024: 2.2, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 2064.0, 'w': None, 'warmwater': 365.90000000000003, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1899.0, 'w': None, 'warmwater': 6.300000000000001, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month26-select_year0] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 62.0, 'month': 4, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 113.0, 'month': 4, 'w': None, 'warmwater': 61.1, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 104.0, 'month': 4, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 53, 'comparedValue': 36.0, 'lastYearValue': 68.0, 'period': None, 'smiley': 'MAD', }), 'warmwater': dict({ 'comparedPercentage': 10, 'comparedValue': 0.1, 'lastYearValue': 1.0, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2024: 509.0, }), 'w': None, 'warmwater': dict({ 2024: 2.2, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 553.2, 'w': None, 'warmwater': 126.80000000000001, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 509.0, 'w': None, 'warmwater': 2.2, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month26-select_year1] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 289.0, 'month': 12, 'unit': 'EUR', 'warmwater': 8.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 531.5, 'month': 12, 'w': None, 'warmwater': 63.4, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 489.0, 'month': 12, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 8, 'comparedValue': 45.0, 'lastYearValue': 534.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 10, 'comparedValue': 0.1, 'lastYearValue': 1.0, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2023: 856.0, }), 'w': None, 'warmwater': dict({ 2023: 3.1, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 930.4, 'w': None, 'warmwater': 181.5, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 856.0, 'w': None, 'warmwater': 3.1, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month26-select_year2] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 12, 'unit': None, 'warmwater': None, 'water': None, 'year': 2022, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 580.4, 'month': 12, 'w': None, 'warmwater': 57.6, 'water': None, 'ww': 'kWh', 'year': 2022, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 534.0, 'month': 12, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2022, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 534.0, }), 'w': None, 'warmwater': dict({ 2022: 1.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 580.4, 'w': None, 'warmwater': 57.6, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 534.0, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month26-select_year3] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 62.0, 'month': 4, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 113.0, 'month': 4, 'w': None, 'warmwater': 61.1, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 104.0, 'month': 4, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 53, 'comparedValue': 36.0, 'lastYearValue': 68.0, 'period': None, 'smiley': 'MAD', }), 'warmwater': dict({ 'comparedPercentage': 10, 'comparedValue': 0.1, 'lastYearValue': 1.0, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 534.0, 2024: 509.0, }), 'w': None, 'warmwater': dict({ 2022: 1.0, 2024: 2.2, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1133.6, 'w': None, 'warmwater': 184.4, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1043.0, 'w': None, 'warmwater': 3.2, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month26-select_year4] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 62.0, 'month': 4, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 113.0, 'month': 4, 'w': None, 'warmwater': 61.1, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 104.0, 'month': 4, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 53, 'comparedValue': 36.0, 'lastYearValue': 68.0, 'period': None, 'smiley': 'MAD', }), 'warmwater': dict({ 'comparedPercentage': 10, 'comparedValue': 0.1, 'lastYearValue': 1.0, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 534.0, 2023: 856.0, 2024: 509.0, }), 'w': None, 'warmwater': dict({ 2022: 1.0, 2023: 3.1, 2024: 2.2, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 2064.0, 'w': None, 'warmwater': 365.90000000000003, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1899.0, 'w': None, 'warmwater': 6.300000000000001, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month26-select_year5] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 289.0, 'month': 12, 'unit': 'EUR', 'warmwater': 8.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 531.5, 'month': 12, 'w': None, 'warmwater': 63.4, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 489.0, 'month': 12, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 8, 'comparedValue': 45.0, 'lastYearValue': 534.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 10, 'comparedValue': 0.1, 'lastYearValue': 1.0, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 534.0, 2023: 856.0, }), 'w': None, 'warmwater': dict({ 2022: 1.0, 2023: 3.1, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1510.8, 'w': None, 'warmwater': 239.1, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1390.0, 'w': None, 'warmwater': 4.1, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month27-None] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 534.0, 2023: 602.0, 2024: 139.0, }), 'w': None, 'warmwater': dict({ 2022: 1.0, 2023: 2.8, 2024: 2.1, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1385.6999999999998, 'w': None, 'warmwater': 335.70000000000005, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1275.0, 'w': None, 'warmwater': 5.9, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month27-select_year0] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2024: 139.0, }), 'w': None, 'warmwater': dict({ 2024: 2.1, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 151.0, 'w': None, 'warmwater': 118.1, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 139.0, 'w': None, 'warmwater': 2.1, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month27-select_year1] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 289.0, 'month': 12, 'unit': 'EUR', 'warmwater': 8.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 531.5, 'month': 12, 'w': None, 'warmwater': 63.4, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 489.0, 'month': 12, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 8, 'comparedValue': 45.0, 'lastYearValue': 534.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 10, 'comparedValue': 0.1, 'lastYearValue': 1.0, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2023: 602.0, }), 'w': None, 'warmwater': dict({ 2023: 2.8, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 654.3, 'w': None, 'warmwater': 160.0, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 602.0, 'w': None, 'warmwater': 2.8, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month27-select_year2] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 12, 'unit': None, 'warmwater': None, 'water': None, 'year': 2022, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 580.4, 'month': 12, 'w': None, 'warmwater': 57.6, 'water': None, 'ww': 'kWh', 'year': 2022, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 534.0, 'month': 12, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2022, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 534.0, }), 'w': None, 'warmwater': dict({ 2022: 1.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 580.4, 'w': None, 'warmwater': 57.6, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 534.0, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month27-select_year3] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 534.0, 2024: 139.0, }), 'w': None, 'warmwater': dict({ 2022: 1.0, 2024: 2.1, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 731.4, 'w': None, 'warmwater': 175.7, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 673.0, 'w': None, 'warmwater': 3.1, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month27-select_year4] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 534.0, 2023: 602.0, 2024: 139.0, }), 'w': None, 'warmwater': dict({ 2022: 1.0, 2023: 2.8, 2024: 2.1, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1385.6999999999998, 'w': None, 'warmwater': 335.70000000000005, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1275.0, 'w': None, 'warmwater': 5.9, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month27-select_year5] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 289.0, 'month': 12, 'unit': 'EUR', 'warmwater': 8.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 531.5, 'month': 12, 'w': None, 'warmwater': 63.4, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 489.0, 'month': 12, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 8, 'comparedValue': 45.0, 'lastYearValue': 534.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 10, 'comparedValue': 0.1, 'lastYearValue': 1.0, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 534.0, 2023: 602.0, }), 'w': None, 'warmwater': dict({ 2022: 1.0, 2023: 2.8, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1234.6999999999998, 'w': None, 'warmwater': 217.6, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1136.0, 'w': None, 'warmwater': 3.8, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month28-None] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 375.0, 2023: 1310.0, 2024: 1045.0, }), 'w': None, 'warmwater': dict({ 2022: 3.1, 2023: 5.800000000000001, 2024: 3.1, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 2967.2999999999993, 'w': None, 'warmwater': 696.0, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 2730.0, 'w': None, 'warmwater': 12.0, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month28-select_year0] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2024: 1045.0, }), 'w': None, 'warmwater': dict({ 2024: 3.1, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1135.8, 'w': None, 'warmwater': 181.4, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1045.0, 'w': None, 'warmwater': 3.1, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month28-select_year1] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 204.0, 'month': 11, 'unit': 'EUR', 'warmwater': 8.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 375.0, 'month': 11, 'w': None, 'warmwater': 64.5, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 345.0, 'month': 11, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 5, 'comparedValue': 20.0, 'lastYearValue': 365.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 0, 'comparedValue': 0.0, 'lastYearValue': 1.1, 'period': None, 'smiley': 'EQUAL', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2023: 1310.0, }), 'w': None, 'warmwater': dict({ 2023: 5.800000000000001, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1423.9, 'w': None, 'warmwater': 338.40000000000003, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1310.0, 'w': None, 'warmwater': 5.800000000000001, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month28-select_year2] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 11, 'unit': None, 'warmwater': None, 'water': None, 'year': 2022, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 396.7, 'month': 11, 'w': None, 'warmwater': 61.1, 'water': None, 'ww': 'kWh', 'year': 2022, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 365.0, 'month': 11, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2022, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 375.0, }), 'w': None, 'warmwater': dict({ 2022: 3.1, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 407.59999999999997, 'w': None, 'warmwater': 176.20000000000002, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 375.0, 'w': None, 'warmwater': 3.1, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month28-select_year3] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 375.0, 2024: 1045.0, }), 'w': None, 'warmwater': dict({ 2022: 3.1, 2024: 3.1, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1543.4, 'w': None, 'warmwater': 357.59999999999997, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1420.0, 'w': None, 'warmwater': 6.200000000000001, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month28-select_year4] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 375.0, 2023: 1310.0, 2024: 1045.0, }), 'w': None, 'warmwater': dict({ 2022: 3.1, 2023: 5.800000000000001, 2024: 3.1, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 2967.2999999999993, 'w': None, 'warmwater': 696.0, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 2730.0, 'w': None, 'warmwater': 12.0, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month28-select_year5] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 204.0, 'month': 11, 'unit': 'EUR', 'warmwater': 8.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 375.0, 'month': 11, 'w': None, 'warmwater': 64.5, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 345.0, 'month': 11, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 5, 'comparedValue': 20.0, 'lastYearValue': 365.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 0, 'comparedValue': 0.0, 'lastYearValue': 1.1, 'period': None, 'smiley': 'EQUAL', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 375.0, 2023: 1310.0, }), 'w': None, 'warmwater': dict({ 2022: 3.1, 2023: 5.800000000000001, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1831.5000000000002, 'w': None, 'warmwater': 514.6, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1685.0, 'w': None, 'warmwater': 8.9, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month3-None] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 62.0, 'month': 4, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 113.0, 'month': 4, 'w': None, 'warmwater': 61.1, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 104.0, 'month': 4, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 53, 'comparedValue': 36.0, 'lastYearValue': 68.0, 'period': None, 'smiley': 'MAD', }), 'warmwater': dict({ 'comparedPercentage': 10, 'comparedValue': 0.1, 'lastYearValue': 1.0, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2023: 1515.0, 2024: 1631.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2023: 3.9, 2024: 4.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 3419.5, 'w': None, 'warmwater': 461.20000000000005, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 3146.0, 'w': None, 'warmwater': 7.9, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month3-select_year0] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 62.0, 'month': 4, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 113.0, 'month': 4, 'w': None, 'warmwater': 61.1, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 104.0, 'month': 4, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 53, 'comparedValue': 36.0, 'lastYearValue': 68.0, 'period': None, 'smiley': 'MAD', }), 'warmwater': dict({ 'comparedPercentage': 10, 'comparedValue': 0.1, 'lastYearValue': 1.0, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2024: 1631.0, }), 'w': None, 'warmwater': dict({ 2024: 4.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1772.8000000000002, 'w': None, 'warmwater': 233.2, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1631.0, 'w': None, 'warmwater': 4.0, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month3-select_year1] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 4, 'unit': None, 'warmwater': None, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 73.9, 'month': 4, 'w': None, 'warmwater': 57.6, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 68.0, 'month': 4, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2023: 1515.0, }), 'w': None, 'warmwater': dict({ 2023: 3.9, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1646.6999999999998, 'w': None, 'warmwater': 227.99999999999997, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1515.0, 'w': None, 'warmwater': 3.9, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month3-select_year2] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': None, 'last_custom_value': None, 'last_value': None, 'last_year_compared_consumption': None, 'sum_by_year': dict({ 'h': None, 'heating': dict({ 2022: 0.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, }), 'water': None, 'ww': None, }), 'total_additional_custom_values': dict({ 'h': None, 'heating': None, 'w': None, 'warmwater': None, 'water': None, 'ww': None, }), 'total_additional_values': dict({ 'h': None, 'heating': None, 'w': None, 'warmwater': None, 'water': None, 'ww': None, }), }) # --- # name: test_consum_raw_filters[False-select_month3-select_year3] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 62.0, 'month': 4, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 113.0, 'month': 4, 'w': None, 'warmwater': 61.1, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 104.0, 'month': 4, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 53, 'comparedValue': 36.0, 'lastYearValue': 68.0, 'period': None, 'smiley': 'MAD', }), 'warmwater': dict({ 'comparedPercentage': 10, 'comparedValue': 0.1, 'lastYearValue': 1.0, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2024: 1631.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2024: 4.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1772.8000000000002, 'w': None, 'warmwater': 233.2, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1631.0, 'w': None, 'warmwater': 4.0, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month3-select_year4] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 62.0, 'month': 4, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 113.0, 'month': 4, 'w': None, 'warmwater': 61.1, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 104.0, 'month': 4, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 53, 'comparedValue': 36.0, 'lastYearValue': 68.0, 'period': None, 'smiley': 'MAD', }), 'warmwater': dict({ 'comparedPercentage': 10, 'comparedValue': 0.1, 'lastYearValue': 1.0, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2023: 1515.0, 2024: 1631.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2023: 3.9, 2024: 4.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 3419.5, 'w': None, 'warmwater': 461.20000000000005, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 3146.0, 'w': None, 'warmwater': 7.9, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month3-select_year5] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 4, 'unit': None, 'warmwater': None, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 73.9, 'month': 4, 'w': None, 'warmwater': 57.6, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 68.0, 'month': 4, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2023: 1515.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2023: 3.9, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1646.6999999999998, 'w': None, 'warmwater': 227.99999999999997, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1515.0, 'w': None, 'warmwater': 3.9, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month4-None] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2023: 1560.0, 2024: 1666.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2023: 4.6, 2024: 5.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 3506.4000000000005, 'w': None, 'warmwater': 557.2, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 3226.0, 'w': None, 'warmwater': 9.6, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month4-select_year0] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2024: 1666.0, }), 'w': None, 'warmwater': dict({ 2024: 5.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1810.8000000000002, 'w': None, 'warmwater': 290.2, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1666.0, 'w': None, 'warmwater': 5.0, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month4-select_year1] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 5, 'unit': None, 'warmwater': None, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 48.9, 'month': 5, 'w': None, 'warmwater': 39.0, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 45.0, 'month': 5, 'w': None, 'warmwater': 0.7, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2023: 1560.0, }), 'w': None, 'warmwater': dict({ 2023: 4.6, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1695.6, 'w': None, 'warmwater': 267.0, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1560.0, 'w': None, 'warmwater': 4.6, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month4-select_year2] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': None, 'last_custom_value': None, 'last_value': None, 'last_year_compared_consumption': None, 'sum_by_year': dict({ 'h': None, 'heating': dict({ 2022: 0.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, }), 'water': None, 'ww': None, }), 'total_additional_custom_values': dict({ 'h': None, 'heating': None, 'w': None, 'warmwater': None, 'water': None, 'ww': None, }), 'total_additional_values': dict({ 'h': None, 'heating': None, 'w': None, 'warmwater': None, 'water': None, 'ww': None, }), }) # --- # name: test_consum_raw_filters[False-select_month4-select_year3] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2024: 1666.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2024: 5.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1810.8000000000002, 'w': None, 'warmwater': 290.2, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1666.0, 'w': None, 'warmwater': 5.0, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month4-select_year4] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2023: 1560.0, 2024: 1666.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2023: 4.6, 2024: 5.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 3506.4000000000005, 'w': None, 'warmwater': 557.2, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 3226.0, 'w': None, 'warmwater': 9.6, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month4-select_year5] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 5, 'unit': None, 'warmwater': None, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 48.9, 'month': 5, 'w': None, 'warmwater': 39.0, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 45.0, 'month': 5, 'w': None, 'warmwater': 0.7, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2023: 1560.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2023: 4.6, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1695.6, 'w': None, 'warmwater': 267.0, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1560.0, 'w': None, 'warmwater': 4.6, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month5-None] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2023: 1560.0, 2024: 1666.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2023: 5.4, 2024: 5.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 3506.4000000000005, 'w': None, 'warmwater': 604.3000000000001, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 3226.0, 'w': None, 'warmwater': 10.4, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month5-select_year0] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2024: 1666.0, }), 'w': None, 'warmwater': dict({ 2024: 5.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1810.8000000000002, 'w': None, 'warmwater': 290.2, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1666.0, 'w': None, 'warmwater': 5.0, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month5-select_year1] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 6, 'unit': None, 'warmwater': None, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 0.0, 'month': 6, 'w': None, 'warmwater': 47.1, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 0.0, 'month': 6, 'w': None, 'warmwater': 0.8, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2023: 1560.0, }), 'w': None, 'warmwater': dict({ 2023: 5.4, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1695.6, 'w': None, 'warmwater': 314.1, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1560.0, 'w': None, 'warmwater': 5.4, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month5-select_year2] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': None, 'last_custom_value': None, 'last_value': None, 'last_year_compared_consumption': None, 'sum_by_year': dict({ 'h': None, 'heating': dict({ 2022: 0.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, }), 'water': None, 'ww': None, }), 'total_additional_custom_values': dict({ 'h': None, 'heating': None, 'w': None, 'warmwater': None, 'water': None, 'ww': None, }), 'total_additional_values': dict({ 'h': None, 'heating': None, 'w': None, 'warmwater': None, 'water': None, 'ww': None, }), }) # --- # name: test_consum_raw_filters[False-select_month5-select_year3] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2024: 1666.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2024: 5.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1810.8000000000002, 'w': None, 'warmwater': 290.2, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1666.0, 'w': None, 'warmwater': 5.0, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month5-select_year4] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2023: 1560.0, 2024: 1666.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2023: 5.4, 2024: 5.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 3506.4000000000005, 'w': None, 'warmwater': 604.3000000000001, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 3226.0, 'w': None, 'warmwater': 10.4, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month5-select_year5] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 6, 'unit': None, 'warmwater': None, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 0.0, 'month': 6, 'w': None, 'warmwater': 47.1, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 0.0, 'month': 6, 'w': None, 'warmwater': 0.8, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2023: 1560.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2023: 5.4, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1695.6, 'w': None, 'warmwater': 314.1, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1560.0, 'w': None, 'warmwater': 5.4, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month6-None] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 2.0, 2023: 1560.0, 2024: 1666.0, }), 'w': None, 'warmwater': dict({ 2022: 0.9, 2023: 6.300000000000001, 2024: 5.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 3508.6000000000004, 'w': None, 'warmwater': 706.0, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 3228.0, 'w': None, 'warmwater': 12.200000000000001, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month6-select_year0] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2024: 1666.0, }), 'w': None, 'warmwater': dict({ 2024: 5.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1810.8000000000002, 'w': None, 'warmwater': 290.2, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1666.0, 'w': None, 'warmwater': 5.0, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month6-select_year1] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 0.0, 'month': 7, 'unit': 'EUR', 'warmwater': 6.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 0.0, 'month': 7, 'w': None, 'warmwater': 52.3, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 0.0, 'month': 7, 'w': None, 'warmwater': 0.9, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 100, 'comparedValue': 2.0, 'lastYearValue': 2.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 0, 'comparedValue': 0.0, 'lastYearValue': 0.9, 'period': None, 'smiley': 'EQUAL', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2023: 1560.0, }), 'w': None, 'warmwater': dict({ 2023: 6.300000000000001, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1695.6, 'w': None, 'warmwater': 366.40000000000003, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1560.0, 'w': None, 'warmwater': 6.300000000000001, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month6-select_year2] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 7, 'unit': None, 'warmwater': None, 'water': None, 'year': 2022, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 2.2, 'month': 7, 'w': None, 'warmwater': 49.4, 'water': None, 'ww': 'kWh', 'year': 2022, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 2.0, 'month': 7, 'w': None, 'warmwater': 0.9, 'water': None, 'ww': 'm³', 'year': 2022, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 2.0, }), 'w': None, 'warmwater': dict({ 2022: 0.9, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 2.2, 'w': None, 'warmwater': 49.4, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 2.0, 'w': None, 'warmwater': 0.9, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month6-select_year3] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 2.0, 2024: 1666.0, }), 'w': None, 'warmwater': dict({ 2022: 0.9, 2024: 5.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1813.0000000000002, 'w': None, 'warmwater': 339.59999999999997, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1668.0, 'w': None, 'warmwater': 5.9, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month6-select_year4] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 2.0, 2023: 1560.0, 2024: 1666.0, }), 'w': None, 'warmwater': dict({ 2022: 0.9, 2023: 6.300000000000001, 2024: 5.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 3508.6000000000004, 'w': None, 'warmwater': 706.0, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 3228.0, 'w': None, 'warmwater': 12.200000000000001, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month6-select_year5] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 0.0, 'month': 7, 'unit': 'EUR', 'warmwater': 6.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 0.0, 'month': 7, 'w': None, 'warmwater': 52.3, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 0.0, 'month': 7, 'w': None, 'warmwater': 0.9, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 100, 'comparedValue': 2.0, 'lastYearValue': 2.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 0, 'comparedValue': 0.0, 'lastYearValue': 0.9, 'period': None, 'smiley': 'EQUAL', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 2.0, 2023: 1560.0, }), 'w': None, 'warmwater': dict({ 2022: 0.9, 2023: 6.300000000000001, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1697.8, 'w': None, 'warmwater': 415.8, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1562.0, 'w': None, 'warmwater': 7.200000000000001, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month7-None] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 2.0, 2023: 1560.0, 2024: 1666.0, }), 'w': None, 'warmwater': dict({ 2022: 1.4, 2023: 6.9, 2024: 5.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 3508.6000000000004, 'w': None, 'warmwater': 767.1, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 3228.0, 'w': None, 'warmwater': 13.3, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month7-select_year0] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2024: 1666.0, }), 'w': None, 'warmwater': dict({ 2024: 5.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1810.8000000000002, 'w': None, 'warmwater': 290.2, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1666.0, 'w': None, 'warmwater': 5.0, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month7-select_year1] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 0.0, 'month': 8, 'unit': 'EUR', 'warmwater': 4.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 0.0, 'month': 8, 'w': None, 'warmwater': 32.6, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 0.0, 'month': 8, 'w': None, 'warmwater': 0.6, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 0, 'comparedValue': 0.0, 'lastYearValue': 0.0, 'period': None, 'smiley': 'EQUAL', }), 'warmwater': dict({ 'comparedPercentage': 20, 'comparedValue': 0.1, 'lastYearValue': 0.5, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2023: 1560.0, }), 'w': None, 'warmwater': dict({ 2023: 6.9, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1695.6, 'w': None, 'warmwater': 399.00000000000006, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1560.0, 'w': None, 'warmwater': 6.9, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month7-select_year2] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 8, 'unit': None, 'warmwater': None, 'water': None, 'year': 2022, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 0.0, 'month': 8, 'w': None, 'warmwater': 28.5, 'water': None, 'ww': 'kWh', 'year': 2022, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 0.0, 'month': 8, 'w': None, 'warmwater': 0.5, 'water': None, 'ww': 'm³', 'year': 2022, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 2.0, }), 'w': None, 'warmwater': dict({ 2022: 1.4, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 2.2, 'w': None, 'warmwater': 77.9, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 2.0, 'w': None, 'warmwater': 1.4, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month7-select_year3] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 2.0, 2024: 1666.0, }), 'w': None, 'warmwater': dict({ 2022: 1.4, 2024: 5.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1813.0000000000002, 'w': None, 'warmwater': 368.09999999999997, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1668.0, 'w': None, 'warmwater': 6.4, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month7-select_year4] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 2.0, 2023: 1560.0, 2024: 1666.0, }), 'w': None, 'warmwater': dict({ 2022: 1.4, 2023: 6.9, 2024: 5.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 3508.6000000000004, 'w': None, 'warmwater': 767.1, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 3228.0, 'w': None, 'warmwater': 13.3, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month7-select_year5] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 0.0, 'month': 8, 'unit': 'EUR', 'warmwater': 4.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 0.0, 'month': 8, 'w': None, 'warmwater': 32.6, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 0.0, 'month': 8, 'w': None, 'warmwater': 0.6, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 0, 'comparedValue': 0.0, 'lastYearValue': 0.0, 'period': None, 'smiley': 'EQUAL', }), 'warmwater': dict({ 'comparedPercentage': 20, 'comparedValue': 0.1, 'lastYearValue': 0.5, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 2.0, 2023: 1560.0, }), 'w': None, 'warmwater': dict({ 2022: 1.4, 2023: 6.9, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1697.8, 'w': None, 'warmwater': 476.90000000000003, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1562.0, 'w': None, 'warmwater': 8.3, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month8-None] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 10.0, 2023: 1583.0, 2024: 1666.0, }), 'w': None, 'warmwater': dict({ 2022: 2.5, 2023: 7.9, 2024: 5.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 3542.3, 'w': None, 'warmwater': 893.3000000000001, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 3259.0, 'w': None, 'warmwater': 15.4, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month8-select_year0] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2024: 1666.0, }), 'w': None, 'warmwater': dict({ 2024: 5.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1810.8000000000002, 'w': None, 'warmwater': 290.2, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1666.0, 'w': None, 'warmwater': 5.0, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month8-select_year1] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 14.0, 'month': 9, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 25.0, 'month': 9, 'w': None, 'warmwater': 60.5, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 23.0, 'month': 9, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 188, 'comparedValue': 15.0, 'lastYearValue': 8.0, 'period': None, 'smiley': 'MAD', }), 'warmwater': dict({ 'comparedPercentage': 9, 'comparedValue': 0.1, 'lastYearValue': 1.1, 'period': None, 'smiley': 'HAPPY', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2023: 1583.0, }), 'w': None, 'warmwater': dict({ 2023: 7.9, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1720.6, 'w': None, 'warmwater': 459.5, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1583.0, 'w': None, 'warmwater': 7.9, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month8-select_year2] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 9, 'unit': None, 'warmwater': None, 'water': None, 'year': 2022, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 8.7, 'month': 9, 'w': None, 'warmwater': 65.7, 'water': None, 'ww': 'kWh', 'year': 2022, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 8.0, 'month': 9, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2022, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 10.0, }), 'w': None, 'warmwater': dict({ 2022: 2.5, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 10.899999999999999, 'w': None, 'warmwater': 143.6, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 10.0, 'w': None, 'warmwater': 2.5, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month8-select_year3] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 10.0, 2024: 1666.0, }), 'w': None, 'warmwater': dict({ 2022: 2.5, 2024: 5.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1821.7000000000003, 'w': None, 'warmwater': 433.79999999999995, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1676.0, 'w': None, 'warmwater': 7.5, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month8-select_year4] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 10.0, 2023: 1583.0, 2024: 1666.0, }), 'w': None, 'warmwater': dict({ 2022: 2.5, 2023: 7.9, 2024: 5.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 3542.3, 'w': None, 'warmwater': 893.3000000000001, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 3259.0, 'w': None, 'warmwater': 15.4, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month8-select_year5] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 14.0, 'month': 9, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 25.0, 'month': 9, 'w': None, 'warmwater': 60.5, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 23.0, 'month': 9, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 188, 'comparedValue': 15.0, 'lastYearValue': 8.0, 'period': None, 'smiley': 'MAD', }), 'warmwater': dict({ 'comparedPercentage': 9, 'comparedValue': 0.1, 'lastYearValue': 1.1, 'period': None, 'smiley': 'HAPPY', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 10.0, 2023: 1583.0, }), 'w': None, 'warmwater': dict({ 2022: 2.5, 2023: 7.9, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1731.5, 'w': None, 'warmwater': 603.1, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1593.0, 'w': None, 'warmwater': 10.4, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month9-None] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 189.0, 2023: 1706.0, 2024: 1666.0, }), 'w': None, 'warmwater': dict({ 2022: 3.6999999999999997, 2023: 9.3, 2024: 5.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 3870.6, 'w': None, 'warmwater': 1043.9, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 3561.0, 'w': None, 'warmwater': 18.0, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month9-select_year0] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2024: 1666.0, }), 'w': None, 'warmwater': dict({ 2024: 5.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1810.8000000000002, 'w': None, 'warmwater': 290.2, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1666.0, 'w': None, 'warmwater': 5.0, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month9-select_year1] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 73.0, 'month': 10, 'unit': 'EUR', 'warmwater': 9.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 133.7, 'month': 10, 'w': None, 'warmwater': 78.5, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 123.0, 'month': 10, 'w': None, 'warmwater': 1.4, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 31, 'comparedValue': 56.0, 'lastYearValue': 179.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 17, 'comparedValue': 0.2, 'lastYearValue': 1.2, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2023: 1706.0, }), 'w': None, 'warmwater': dict({ 2023: 9.3, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1854.3, 'w': None, 'warmwater': 538.0, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1706.0, 'w': None, 'warmwater': 9.3, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month9-select_year2] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 10, 'unit': None, 'warmwater': None, 'water': None, 'year': 2022, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 194.6, 'month': 10, 'w': None, 'warmwater': 72.1, 'water': None, 'ww': 'kWh', 'year': 2022, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 179.0, 'month': 10, 'w': None, 'warmwater': 1.2, 'water': None, 'ww': 'm³', 'year': 2022, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 189.0, }), 'w': None, 'warmwater': dict({ 2022: 3.6999999999999997, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 205.49999999999997, 'w': None, 'warmwater': 215.70000000000002, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 189.0, 'w': None, 'warmwater': 3.6999999999999997, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month9-select_year3] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 189.0, 2024: 1666.0, }), 'w': None, 'warmwater': dict({ 2022: 3.6999999999999997, 2024: 5.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 2016.3000000000002, 'w': None, 'warmwater': 505.8999999999999, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1855.0, 'w': None, 'warmwater': 8.700000000000001, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month9-select_year4] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 189.0, 2023: 1706.0, 2024: 1666.0, }), 'w': None, 'warmwater': dict({ 2022: 3.6999999999999997, 2023: 9.3, 2024: 5.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 3870.6, 'w': None, 'warmwater': 1043.9, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 3561.0, 'w': None, 'warmwater': 18.0, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[False-select_month9-select_year5] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 73.0, 'month': 10, 'unit': 'EUR', 'warmwater': 9.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 133.7, 'month': 10, 'w': None, 'warmwater': 78.5, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 123.0, 'month': 10, 'w': None, 'warmwater': 1.4, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 31, 'comparedValue': 56.0, 'lastYearValue': 179.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 17, 'comparedValue': 0.2, 'lastYearValue': 1.2, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 189.0, 2023: 1706.0, }), 'w': None, 'warmwater': dict({ 2022: 3.6999999999999997, 2023: 9.3, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 2059.7999999999997, 'w': None, 'warmwater': 753.7, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1895.0, 'w': None, 'warmwater': 13.0, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-None-None] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 1088.0, 2023: 2540.0, 2024: 1666.0, }), 'w': None, 'warmwater': dict({ 2022: 5.800000000000001, 2023: 11.5, 2024: 5.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 5754.2, 'w': None, 'warmwater': 1290.5, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 5294.0, 'w': None, 'warmwater': 22.3, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-None-select_year0] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2024: 1666.0, }), 'w': None, 'warmwater': dict({ 2024: 5.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1810.8000000000002, 'w': None, 'warmwater': 290.2, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1666.0, 'w': None, 'warmwater': 5.0, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-None-select_year1] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 289.0, 'month': 12, 'unit': 'EUR', 'warmwater': 8.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 531.5, 'month': 12, 'w': None, 'warmwater': 63.4, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 489.0, 'month': 12, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 8, 'comparedValue': 45.0, 'lastYearValue': 534.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 10, 'comparedValue': 0.1, 'lastYearValue': 1.0, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2023: 2540.0, }), 'w': None, 'warmwater': dict({ 2023: 11.5, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 2760.8, 'w': None, 'warmwater': 665.9, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 2540.0, 'w': None, 'warmwater': 11.5, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-None-select_year2] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 12, 'unit': None, 'warmwater': None, 'water': None, 'year': 2022, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 580.4, 'month': 12, 'w': None, 'warmwater': 57.6, 'water': None, 'ww': 'kWh', 'year': 2022, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 534.0, 'month': 12, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2022, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 1088.0, }), 'w': None, 'warmwater': dict({ 2022: 5.800000000000001, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1182.6, 'w': None, 'warmwater': 334.4, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1088.0, 'w': None, 'warmwater': 5.800000000000001, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-None-select_year3] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 1088.0, 2024: 1666.0, }), 'w': None, 'warmwater': dict({ 2022: 5.800000000000001, 2024: 5.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 2993.3999999999996, 'w': None, 'warmwater': 624.6, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 2754.0, 'w': None, 'warmwater': 10.799999999999999, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-None-select_year4] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 1088.0, 2023: 2540.0, 2024: 1666.0, }), 'w': None, 'warmwater': dict({ 2022: 5.800000000000001, 2023: 11.5, 2024: 5.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 5754.2, 'w': None, 'warmwater': 1290.5, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 5294.0, 'w': None, 'warmwater': 22.3, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-None-select_year5] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 289.0, 'month': 12, 'unit': 'EUR', 'warmwater': 8.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 531.5, 'month': 12, 'w': None, 'warmwater': 63.4, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 489.0, 'month': 12, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 8, 'comparedValue': 45.0, 'lastYearValue': 534.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 10, 'comparedValue': 0.1, 'lastYearValue': 1.0, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 1088.0, 2023: 2540.0, }), 'w': None, 'warmwater': dict({ 2022: 5.800000000000001, 2023: 11.5, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 3943.3999999999996, 'w': None, 'warmwater': 1000.3000000000001, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 3628.0, 'w': None, 'warmwater': 17.299999999999997, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month1-None] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 306.0, 'month': 2, 'unit': 'EUR', 'warmwater': 6.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 562.0, 'month': 2, 'w': None, 'warmwater': 47.7, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 517.0, 'month': 2, 'w': None, 'warmwater': 0.8, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 6, 'comparedValue': 33.0, 'lastYearValue': 550.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 0, 'comparedValue': 0.0, 'lastYearValue': 0.8, 'period': None, 'smiley': 'EQUAL', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2023: 1148.0, 2024: 1122.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2023: 1.9000000000000001, 2024: 1.8, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 2467.3999999999996, 'w': None, 'warmwater': 216.29999999999998, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 2270.0, 'w': None, 'warmwater': 3.7, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month1-select_year0] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 306.0, 'month': 2, 'unit': 'EUR', 'warmwater': 6.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 562.0, 'month': 2, 'w': None, 'warmwater': 47.7, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 517.0, 'month': 2, 'w': None, 'warmwater': 0.8, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 6, 'comparedValue': 33.0, 'lastYearValue': 550.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 0, 'comparedValue': 0.0, 'lastYearValue': 0.8, 'period': None, 'smiley': 'EQUAL', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2024: 1122.0, }), 'w': None, 'warmwater': dict({ 2024: 1.8, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1219.6, 'w': None, 'warmwater': 106.4, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1122.0, 'w': None, 'warmwater': 1.8, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month1-select_year1] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 2, 'unit': None, 'warmwater': None, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 597.8, 'month': 2, 'w': None, 'warmwater': 48.3, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 550.0, 'month': 2, 'w': None, 'warmwater': 0.8, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2023: 1148.0, }), 'w': None, 'warmwater': dict({ 2023: 1.9000000000000001, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1247.8, 'w': None, 'warmwater': 109.9, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1148.0, 'w': None, 'warmwater': 1.9000000000000001, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month1-select_year2] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': None, 'last_custom_value': None, 'last_value': None, 'last_year_compared_consumption': None, 'sum_by_year': dict({ 'h': None, 'heating': dict({ 2022: 0.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, }), 'water': None, 'ww': None, }), 'total_additional_custom_values': dict({ 'h': None, 'heating': None, 'w': None, 'warmwater': None, 'water': None, 'ww': None, }), 'total_additional_values': dict({ 'h': None, 'heating': None, 'w': None, 'warmwater': None, 'water': None, 'ww': None, }), }) # --- # name: test_consum_raw_filters[True-select_month1-select_year3] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 306.0, 'month': 2, 'unit': 'EUR', 'warmwater': 6.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 562.0, 'month': 2, 'w': None, 'warmwater': 47.7, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 517.0, 'month': 2, 'w': None, 'warmwater': 0.8, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 6, 'comparedValue': 33.0, 'lastYearValue': 550.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 0, 'comparedValue': 0.0, 'lastYearValue': 0.8, 'period': None, 'smiley': 'EQUAL', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2024: 1122.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2024: 1.8, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1219.6, 'w': None, 'warmwater': 106.4, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1122.0, 'w': None, 'warmwater': 1.8, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month1-select_year4] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 306.0, 'month': 2, 'unit': 'EUR', 'warmwater': 6.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 562.0, 'month': 2, 'w': None, 'warmwater': 47.7, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 517.0, 'month': 2, 'w': None, 'warmwater': 0.8, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 6, 'comparedValue': 33.0, 'lastYearValue': 550.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 0, 'comparedValue': 0.0, 'lastYearValue': 0.8, 'period': None, 'smiley': 'EQUAL', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2023: 1148.0, 2024: 1122.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2023: 1.9000000000000001, 2024: 1.8, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 2467.3999999999996, 'w': None, 'warmwater': 216.29999999999998, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 2270.0, 'w': None, 'warmwater': 3.7, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month1-select_year5] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 2, 'unit': None, 'warmwater': None, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 597.8, 'month': 2, 'w': None, 'warmwater': 48.3, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 550.0, 'month': 2, 'w': None, 'warmwater': 0.8, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2023: 1148.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2023: 1.9000000000000001, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1247.8, 'w': None, 'warmwater': 109.9, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1148.0, 'w': None, 'warmwater': 1.9000000000000001, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month10-None] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 554.0, 2023: 2051.0, 2024: 1666.0, }), 'w': None, 'warmwater': dict({ 2022: 4.8, 2023: 10.4, 2024: 5.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 4642.3, 'w': None, 'warmwater': 1169.5, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 4271.0, 'w': None, 'warmwater': 20.2, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month10-select_year0] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2024: 1666.0, }), 'w': None, 'warmwater': dict({ 2024: 5.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1810.8000000000002, 'w': None, 'warmwater': 290.2, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1666.0, 'w': None, 'warmwater': 5.0, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month10-select_year1] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 204.0, 'month': 11, 'unit': 'EUR', 'warmwater': 8.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 375.0, 'month': 11, 'w': None, 'warmwater': 64.5, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 345.0, 'month': 11, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 5, 'comparedValue': 20.0, 'lastYearValue': 365.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 0, 'comparedValue': 0.0, 'lastYearValue': 1.1, 'period': None, 'smiley': 'EQUAL', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2023: 2051.0, }), 'w': None, 'warmwater': dict({ 2023: 10.4, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 2229.3, 'w': None, 'warmwater': 602.5, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 2051.0, 'w': None, 'warmwater': 10.4, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month10-select_year2] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 11, 'unit': None, 'warmwater': None, 'water': None, 'year': 2022, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 396.7, 'month': 11, 'w': None, 'warmwater': 61.1, 'water': None, 'ww': 'kWh', 'year': 2022, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 365.0, 'month': 11, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2022, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 554.0, }), 'w': None, 'warmwater': dict({ 2022: 4.8, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 602.2, 'w': None, 'warmwater': 276.79999999999995, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 554.0, 'w': None, 'warmwater': 4.8, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month10-select_year3] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 554.0, 2024: 1666.0, }), 'w': None, 'warmwater': dict({ 2022: 4.8, 2024: 5.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 2412.9999999999995, 'w': None, 'warmwater': 566.9999999999999, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 2220.0, 'w': None, 'warmwater': 9.8, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month10-select_year4] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 554.0, 2023: 2051.0, 2024: 1666.0, }), 'w': None, 'warmwater': dict({ 2022: 4.8, 2023: 10.4, 2024: 5.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 4642.3, 'w': None, 'warmwater': 1169.5, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 4271.0, 'w': None, 'warmwater': 20.2, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month10-select_year5] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 204.0, 'month': 11, 'unit': 'EUR', 'warmwater': 8.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 375.0, 'month': 11, 'w': None, 'warmwater': 64.5, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 345.0, 'month': 11, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 5, 'comparedValue': 20.0, 'lastYearValue': 365.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 0, 'comparedValue': 0.0, 'lastYearValue': 1.1, 'period': None, 'smiley': 'EQUAL', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 554.0, 2023: 2051.0, }), 'w': None, 'warmwater': dict({ 2022: 4.8, 2023: 10.4, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 2831.4999999999995, 'w': None, 'warmwater': 879.3000000000001, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 2605.0, 'w': None, 'warmwater': 15.2, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month11-None] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 723.0, 2023: 2195.0, 2024: 1666.0, }), 'w': None, 'warmwater': dict({ 2022: 4.7, 2023: 10.4, 2024: 5.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 4982.5, 'w': None, 'warmwater': 1164.9, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 4584.0, 'w': None, 'warmwater': 20.099999999999998, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month11-select_year0] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2024: 1666.0, }), 'w': None, 'warmwater': dict({ 2024: 5.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1810.8000000000002, 'w': None, 'warmwater': 290.2, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1666.0, 'w': None, 'warmwater': 5.0, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month11-select_year1] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 289.0, 'month': 12, 'unit': 'EUR', 'warmwater': 8.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 531.5, 'month': 12, 'w': None, 'warmwater': 63.4, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 489.0, 'month': 12, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 8, 'comparedValue': 45.0, 'lastYearValue': 534.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 10, 'comparedValue': 0.1, 'lastYearValue': 1.0, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2023: 2195.0, }), 'w': None, 'warmwater': dict({ 2023: 10.4, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 2385.8, 'w': None, 'warmwater': 601.4000000000001, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 2195.0, 'w': None, 'warmwater': 10.4, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month11-select_year2] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 12, 'unit': None, 'warmwater': None, 'water': None, 'year': 2022, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 580.4, 'month': 12, 'w': None, 'warmwater': 57.6, 'water': None, 'ww': 'kWh', 'year': 2022, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 534.0, 'month': 12, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2022, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 723.0, }), 'w': None, 'warmwater': dict({ 2022: 4.7, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 785.9000000000001, 'w': None, 'warmwater': 273.29999999999995, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 723.0, 'w': None, 'warmwater': 4.7, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month11-select_year3] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 723.0, 2024: 1666.0, }), 'w': None, 'warmwater': dict({ 2022: 4.7, 2024: 5.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 2596.7, 'w': None, 'warmwater': 563.4999999999999, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 2389.0, 'w': None, 'warmwater': 9.700000000000001, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month11-select_year4] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 723.0, 2023: 2195.0, 2024: 1666.0, }), 'w': None, 'warmwater': dict({ 2022: 4.7, 2023: 10.4, 2024: 5.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 4982.5, 'w': None, 'warmwater': 1164.9, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 4584.0, 'w': None, 'warmwater': 20.099999999999998, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month11-select_year5] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 289.0, 'month': 12, 'unit': 'EUR', 'warmwater': 8.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 531.5, 'month': 12, 'w': None, 'warmwater': 63.4, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 489.0, 'month': 12, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 8, 'comparedValue': 45.0, 'lastYearValue': 534.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 10, 'comparedValue': 0.1, 'lastYearValue': 1.0, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 723.0, 2023: 2195.0, }), 'w': None, 'warmwater': dict({ 2022: 4.7, 2023: 10.4, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 3171.7, 'w': None, 'warmwater': 874.7000000000002, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 2918.0, 'w': None, 'warmwater': 15.1, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month12-None] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 358.0, 'month': 1, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 657.6, 'month': 1, 'w': None, 'warmwater': 58.7, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 605.0, 'month': 1, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 1, 'comparedValue': 7.0, 'lastYearValue': 598.0, 'period': None, 'smiley': 'MAD', }), 'warmwater': dict({ 'comparedPercentage': 9, 'comparedValue': 0.1, 'lastYearValue': 1.1, 'period': None, 'smiley': 'HAPPY', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2023: 598.0, 2024: 605.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2023: 1.1, 2024: 1.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1307.6, 'w': None, 'warmwater': 120.30000000000001, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1203.0, 'w': None, 'warmwater': 2.1, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month12-select_year0] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 358.0, 'month': 1, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 657.6, 'month': 1, 'w': None, 'warmwater': 58.7, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 605.0, 'month': 1, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 1, 'comparedValue': 7.0, 'lastYearValue': 598.0, 'period': None, 'smiley': 'MAD', }), 'warmwater': dict({ 'comparedPercentage': 9, 'comparedValue': 0.1, 'lastYearValue': 1.1, 'period': None, 'smiley': 'HAPPY', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2024: 605.0, }), 'w': None, 'warmwater': dict({ 2024: 1.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 657.6, 'w': None, 'warmwater': 58.7, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 605.0, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month12-select_year1] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 1, 'unit': None, 'warmwater': None, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 650.0, 'month': 1, 'w': None, 'warmwater': 61.6, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 598.0, 'month': 1, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2023: 598.0, }), 'w': None, 'warmwater': dict({ 2023: 1.1, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 650.0, 'w': None, 'warmwater': 61.6, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 598.0, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month12-select_year2] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': None, 'last_custom_value': None, 'last_value': None, 'last_year_compared_consumption': None, 'sum_by_year': dict({ 'h': None, 'heating': dict({ 2022: 0.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, }), 'water': None, 'ww': None, }), 'total_additional_custom_values': dict({ 'h': None, 'heating': None, 'w': None, 'warmwater': None, 'water': None, 'ww': None, }), 'total_additional_values': dict({ 'h': None, 'heating': None, 'w': None, 'warmwater': None, 'water': None, 'ww': None, }), }) # --- # name: test_consum_raw_filters[True-select_month12-select_year3] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 358.0, 'month': 1, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 657.6, 'month': 1, 'w': None, 'warmwater': 58.7, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 605.0, 'month': 1, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 1, 'comparedValue': 7.0, 'lastYearValue': 598.0, 'period': None, 'smiley': 'MAD', }), 'warmwater': dict({ 'comparedPercentage': 9, 'comparedValue': 0.1, 'lastYearValue': 1.1, 'period': None, 'smiley': 'HAPPY', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2024: 605.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2024: 1.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 657.6, 'w': None, 'warmwater': 58.7, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 605.0, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month12-select_year4] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 358.0, 'month': 1, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 657.6, 'month': 1, 'w': None, 'warmwater': 58.7, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 605.0, 'month': 1, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 1, 'comparedValue': 7.0, 'lastYearValue': 598.0, 'period': None, 'smiley': 'MAD', }), 'warmwater': dict({ 'comparedPercentage': 9, 'comparedValue': 0.1, 'lastYearValue': 1.1, 'period': None, 'smiley': 'HAPPY', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2023: 598.0, 2024: 605.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2023: 1.1, 2024: 1.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1307.6, 'w': None, 'warmwater': 120.30000000000001, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1203.0, 'w': None, 'warmwater': 2.1, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month12-select_year5] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 1, 'unit': None, 'warmwater': None, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 650.0, 'month': 1, 'w': None, 'warmwater': 61.6, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 598.0, 'month': 1, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2023: 598.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2023: 1.1, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 650.0, 'w': None, 'warmwater': 61.6, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 598.0, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month13-None] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 306.0, 'month': 2, 'unit': 'EUR', 'warmwater': 6.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 562.0, 'month': 2, 'w': None, 'warmwater': 47.7, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 517.0, 'month': 2, 'w': None, 'warmwater': 0.8, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 6, 'comparedValue': 33.0, 'lastYearValue': 550.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 0, 'comparedValue': 0.0, 'lastYearValue': 0.8, 'period': None, 'smiley': 'EQUAL', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2023: 550.0, 2024: 517.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2023: 0.8, 2024: 0.8, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1159.8, 'w': None, 'warmwater': 96.0, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1067.0, 'w': None, 'warmwater': 1.6, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month13-select_year0] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 306.0, 'month': 2, 'unit': 'EUR', 'warmwater': 6.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 562.0, 'month': 2, 'w': None, 'warmwater': 47.7, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 517.0, 'month': 2, 'w': None, 'warmwater': 0.8, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 6, 'comparedValue': 33.0, 'lastYearValue': 550.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 0, 'comparedValue': 0.0, 'lastYearValue': 0.8, 'period': None, 'smiley': 'EQUAL', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2024: 517.0, }), 'w': None, 'warmwater': dict({ 2024: 0.8, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 562.0, 'w': None, 'warmwater': 47.7, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 517.0, 'w': None, 'warmwater': 0.8, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month13-select_year1] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 2, 'unit': None, 'warmwater': None, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 597.8, 'month': 2, 'w': None, 'warmwater': 48.3, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 550.0, 'month': 2, 'w': None, 'warmwater': 0.8, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2023: 550.0, }), 'w': None, 'warmwater': dict({ 2023: 0.8, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 597.8, 'w': None, 'warmwater': 48.3, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 550.0, 'w': None, 'warmwater': 0.8, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month13-select_year2] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': None, 'last_custom_value': None, 'last_value': None, 'last_year_compared_consumption': None, 'sum_by_year': dict({ 'h': None, 'heating': dict({ 2022: 0.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, }), 'water': None, 'ww': None, }), 'total_additional_custom_values': dict({ 'h': None, 'heating': None, 'w': None, 'warmwater': None, 'water': None, 'ww': None, }), 'total_additional_values': dict({ 'h': None, 'heating': None, 'w': None, 'warmwater': None, 'water': None, 'ww': None, }), }) # --- # name: test_consum_raw_filters[True-select_month13-select_year3] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 306.0, 'month': 2, 'unit': 'EUR', 'warmwater': 6.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 562.0, 'month': 2, 'w': None, 'warmwater': 47.7, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 517.0, 'month': 2, 'w': None, 'warmwater': 0.8, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 6, 'comparedValue': 33.0, 'lastYearValue': 550.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 0, 'comparedValue': 0.0, 'lastYearValue': 0.8, 'period': None, 'smiley': 'EQUAL', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2024: 517.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2024: 0.8, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 562.0, 'w': None, 'warmwater': 47.7, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 517.0, 'w': None, 'warmwater': 0.8, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month13-select_year4] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 306.0, 'month': 2, 'unit': 'EUR', 'warmwater': 6.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 562.0, 'month': 2, 'w': None, 'warmwater': 47.7, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 517.0, 'month': 2, 'w': None, 'warmwater': 0.8, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 6, 'comparedValue': 33.0, 'lastYearValue': 550.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 0, 'comparedValue': 0.0, 'lastYearValue': 0.8, 'period': None, 'smiley': 'EQUAL', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2023: 550.0, 2024: 517.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2023: 0.8, 2024: 0.8, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1159.8, 'w': None, 'warmwater': 96.0, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1067.0, 'w': None, 'warmwater': 1.6, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month13-select_year5] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 2, 'unit': None, 'warmwater': None, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 597.8, 'month': 2, 'w': None, 'warmwater': 48.3, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 550.0, 'month': 2, 'w': None, 'warmwater': 0.8, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2023: 550.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2023: 0.8, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 597.8, 'w': None, 'warmwater': 48.3, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 550.0, 'w': None, 'warmwater': 0.8, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month14-None] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 240.0, 'month': 3, 'unit': 'EUR', 'warmwater': 8.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 440.2, 'month': 3, 'w': None, 'warmwater': 65.7, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 405.0, 'month': 3, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 35, 'comparedValue': 106.0, 'lastYearValue': 299.0, 'period': None, 'smiley': 'MAD', }), 'warmwater': dict({ 'comparedPercentage': 10, 'comparedValue': 0.1, 'lastYearValue': 1.0, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2023: 299.0, 2024: 405.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2023: 1.0, 2024: 1.1, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 765.2, 'w': None, 'warmwater': 126.2, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 704.0, 'w': None, 'warmwater': 2.1, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month14-select_year0] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 240.0, 'month': 3, 'unit': 'EUR', 'warmwater': 8.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 440.2, 'month': 3, 'w': None, 'warmwater': 65.7, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 405.0, 'month': 3, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 35, 'comparedValue': 106.0, 'lastYearValue': 299.0, 'period': None, 'smiley': 'MAD', }), 'warmwater': dict({ 'comparedPercentage': 10, 'comparedValue': 0.1, 'lastYearValue': 1.0, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2024: 405.0, }), 'w': None, 'warmwater': dict({ 2024: 1.1, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 440.2, 'w': None, 'warmwater': 65.7, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 405.0, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month14-select_year1] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 3, 'unit': None, 'warmwater': None, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 325.0, 'month': 3, 'w': None, 'warmwater': 60.5, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 299.0, 'month': 3, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2023: 299.0, }), 'w': None, 'warmwater': dict({ 2023: 1.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 325.0, 'w': None, 'warmwater': 60.5, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 299.0, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month14-select_year2] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': None, 'last_custom_value': None, 'last_value': None, 'last_year_compared_consumption': None, 'sum_by_year': dict({ 'h': None, 'heating': dict({ 2022: 0.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, }), 'water': None, 'ww': None, }), 'total_additional_custom_values': dict({ 'h': None, 'heating': None, 'w': None, 'warmwater': None, 'water': None, 'ww': None, }), 'total_additional_values': dict({ 'h': None, 'heating': None, 'w': None, 'warmwater': None, 'water': None, 'ww': None, }), }) # --- # name: test_consum_raw_filters[True-select_month14-select_year3] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 240.0, 'month': 3, 'unit': 'EUR', 'warmwater': 8.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 440.2, 'month': 3, 'w': None, 'warmwater': 65.7, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 405.0, 'month': 3, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 35, 'comparedValue': 106.0, 'lastYearValue': 299.0, 'period': None, 'smiley': 'MAD', }), 'warmwater': dict({ 'comparedPercentage': 10, 'comparedValue': 0.1, 'lastYearValue': 1.0, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2024: 405.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2024: 1.1, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 440.2, 'w': None, 'warmwater': 65.7, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 405.0, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month14-select_year4] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 240.0, 'month': 3, 'unit': 'EUR', 'warmwater': 8.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 440.2, 'month': 3, 'w': None, 'warmwater': 65.7, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 405.0, 'month': 3, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 35, 'comparedValue': 106.0, 'lastYearValue': 299.0, 'period': None, 'smiley': 'MAD', }), 'warmwater': dict({ 'comparedPercentage': 10, 'comparedValue': 0.1, 'lastYearValue': 1.0, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2023: 299.0, 2024: 405.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2023: 1.0, 2024: 1.1, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 765.2, 'w': None, 'warmwater': 126.2, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 704.0, 'w': None, 'warmwater': 2.1, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month14-select_year5] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 3, 'unit': None, 'warmwater': None, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 325.0, 'month': 3, 'w': None, 'warmwater': 60.5, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 299.0, 'month': 3, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2023: 299.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2023: 1.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 325.0, 'w': None, 'warmwater': 60.5, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 299.0, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month15-None] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 62.0, 'month': 4, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 113.0, 'month': 4, 'w': None, 'warmwater': 61.1, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 104.0, 'month': 4, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 53, 'comparedValue': 36.0, 'lastYearValue': 68.0, 'period': None, 'smiley': 'MAD', }), 'warmwater': dict({ 'comparedPercentage': 10, 'comparedValue': 0.1, 'lastYearValue': 1.0, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2023: 68.0, 2024: 104.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2023: 1.0, 2024: 1.1, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 186.9, 'w': None, 'warmwater': 118.7, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 172.0, 'w': None, 'warmwater': 2.1, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month15-select_year0] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 62.0, 'month': 4, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 113.0, 'month': 4, 'w': None, 'warmwater': 61.1, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 104.0, 'month': 4, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 53, 'comparedValue': 36.0, 'lastYearValue': 68.0, 'period': None, 'smiley': 'MAD', }), 'warmwater': dict({ 'comparedPercentage': 10, 'comparedValue': 0.1, 'lastYearValue': 1.0, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2024: 104.0, }), 'w': None, 'warmwater': dict({ 2024: 1.1, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 113.0, 'w': None, 'warmwater': 61.1, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 104.0, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month15-select_year1] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 4, 'unit': None, 'warmwater': None, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 73.9, 'month': 4, 'w': None, 'warmwater': 57.6, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 68.0, 'month': 4, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2023: 68.0, }), 'w': None, 'warmwater': dict({ 2023: 1.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 73.9, 'w': None, 'warmwater': 57.6, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 68.0, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month15-select_year2] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': None, 'last_custom_value': None, 'last_value': None, 'last_year_compared_consumption': None, 'sum_by_year': dict({ 'h': None, 'heating': dict({ 2022: 0.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, }), 'water': None, 'ww': None, }), 'total_additional_custom_values': dict({ 'h': None, 'heating': None, 'w': None, 'warmwater': None, 'water': None, 'ww': None, }), 'total_additional_values': dict({ 'h': None, 'heating': None, 'w': None, 'warmwater': None, 'water': None, 'ww': None, }), }) # --- # name: test_consum_raw_filters[True-select_month15-select_year3] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 62.0, 'month': 4, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 113.0, 'month': 4, 'w': None, 'warmwater': 61.1, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 104.0, 'month': 4, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 53, 'comparedValue': 36.0, 'lastYearValue': 68.0, 'period': None, 'smiley': 'MAD', }), 'warmwater': dict({ 'comparedPercentage': 10, 'comparedValue': 0.1, 'lastYearValue': 1.0, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2024: 104.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2024: 1.1, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 113.0, 'w': None, 'warmwater': 61.1, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 104.0, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month15-select_year4] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 62.0, 'month': 4, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 113.0, 'month': 4, 'w': None, 'warmwater': 61.1, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 104.0, 'month': 4, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 53, 'comparedValue': 36.0, 'lastYearValue': 68.0, 'period': None, 'smiley': 'MAD', }), 'warmwater': dict({ 'comparedPercentage': 10, 'comparedValue': 0.1, 'lastYearValue': 1.0, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2023: 68.0, 2024: 104.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2023: 1.0, 2024: 1.1, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 186.9, 'w': None, 'warmwater': 118.7, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 172.0, 'w': None, 'warmwater': 2.1, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month15-select_year5] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 4, 'unit': None, 'warmwater': None, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 73.9, 'month': 4, 'w': None, 'warmwater': 57.6, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 68.0, 'month': 4, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2023: 68.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2023: 1.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 73.9, 'w': None, 'warmwater': 57.6, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 68.0, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month16-None] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2023: 45.0, 2024: 35.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2023: 0.7, 2024: 1.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 86.9, 'w': None, 'warmwater': 96.0, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 80.0, 'w': None, 'warmwater': 1.7, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month16-select_year0] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2024: 35.0, }), 'w': None, 'warmwater': dict({ 2024: 1.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 38.0, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 35.0, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month16-select_year1] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 5, 'unit': None, 'warmwater': None, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 48.9, 'month': 5, 'w': None, 'warmwater': 39.0, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 45.0, 'month': 5, 'w': None, 'warmwater': 0.7, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2023: 45.0, }), 'w': None, 'warmwater': dict({ 2023: 0.7, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 48.9, 'w': None, 'warmwater': 39.0, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 45.0, 'w': None, 'warmwater': 0.7, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month16-select_year2] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': None, 'last_custom_value': None, 'last_value': None, 'last_year_compared_consumption': None, 'sum_by_year': dict({ 'h': None, 'heating': dict({ 2022: 0.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, }), 'water': None, 'ww': None, }), 'total_additional_custom_values': dict({ 'h': None, 'heating': None, 'w': None, 'warmwater': None, 'water': None, 'ww': None, }), 'total_additional_values': dict({ 'h': None, 'heating': None, 'w': None, 'warmwater': None, 'water': None, 'ww': None, }), }) # --- # name: test_consum_raw_filters[True-select_month16-select_year3] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2024: 35.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2024: 1.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 38.0, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 35.0, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month16-select_year4] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2023: 45.0, 2024: 35.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2023: 0.7, 2024: 1.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 86.9, 'w': None, 'warmwater': 96.0, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 80.0, 'w': None, 'warmwater': 1.7, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month16-select_year5] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 5, 'unit': None, 'warmwater': None, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 48.9, 'month': 5, 'w': None, 'warmwater': 39.0, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 45.0, 'month': 5, 'w': None, 'warmwater': 0.7, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2023: 45.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2023: 0.7, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 48.9, 'w': None, 'warmwater': 39.0, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 45.0, 'w': None, 'warmwater': 0.7, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month17-None] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 6, 'unit': None, 'warmwater': None, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 0.0, 'month': 6, 'w': None, 'warmwater': 47.1, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 0.0, 'month': 6, 'w': None, 'warmwater': 0.8, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2023: 0.0, 2024: 0.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2023: 0.8, 2024: 0.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 0.0, 'w': None, 'warmwater': 47.1, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 0.0, 'w': None, 'warmwater': 0.8, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month17-select_year0] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': None, 'last_custom_value': None, 'last_value': None, 'last_year_compared_consumption': None, 'sum_by_year': dict({ 'h': None, 'heating': dict({ 2024: 0.0, }), 'w': None, 'warmwater': dict({ 2024: 0.0, }), 'water': None, 'ww': None, }), 'total_additional_custom_values': dict({ 'h': None, 'heating': None, 'w': None, 'warmwater': None, 'water': None, 'ww': None, }), 'total_additional_values': dict({ 'h': None, 'heating': None, 'w': None, 'warmwater': None, 'water': None, 'ww': None, }), }) # --- # name: test_consum_raw_filters[True-select_month17-select_year1] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 6, 'unit': None, 'warmwater': None, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 0.0, 'month': 6, 'w': None, 'warmwater': 47.1, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 0.0, 'month': 6, 'w': None, 'warmwater': 0.8, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2023: 0.0, }), 'w': None, 'warmwater': dict({ 2023: 0.8, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 0.0, 'w': None, 'warmwater': 47.1, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 0.0, 'w': None, 'warmwater': 0.8, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month17-select_year2] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': None, 'last_custom_value': None, 'last_value': None, 'last_year_compared_consumption': None, 'sum_by_year': dict({ 'h': None, 'heating': dict({ 2022: 0.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, }), 'water': None, 'ww': None, }), 'total_additional_custom_values': dict({ 'h': None, 'heating': None, 'w': None, 'warmwater': None, 'water': None, 'ww': None, }), 'total_additional_values': dict({ 'h': None, 'heating': None, 'w': None, 'warmwater': None, 'water': None, 'ww': None, }), }) # --- # name: test_consum_raw_filters[True-select_month17-select_year3] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': None, 'last_custom_value': None, 'last_value': None, 'last_year_compared_consumption': None, 'sum_by_year': dict({ 'h': None, 'heating': dict({ 2022: 0.0, 2024: 0.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2024: 0.0, }), 'water': None, 'ww': None, }), 'total_additional_custom_values': dict({ 'h': None, 'heating': None, 'w': None, 'warmwater': None, 'water': None, 'ww': None, }), 'total_additional_values': dict({ 'h': None, 'heating': None, 'w': None, 'warmwater': None, 'water': None, 'ww': None, }), }) # --- # name: test_consum_raw_filters[True-select_month17-select_year4] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 6, 'unit': None, 'warmwater': None, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 0.0, 'month': 6, 'w': None, 'warmwater': 47.1, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 0.0, 'month': 6, 'w': None, 'warmwater': 0.8, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2023: 0.0, 2024: 0.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2023: 0.8, 2024: 0.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 0.0, 'w': None, 'warmwater': 47.1, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 0.0, 'w': None, 'warmwater': 0.8, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month17-select_year5] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 6, 'unit': None, 'warmwater': None, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 0.0, 'month': 6, 'w': None, 'warmwater': 47.1, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 0.0, 'month': 6, 'w': None, 'warmwater': 0.8, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2023: 0.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2023: 0.8, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 0.0, 'w': None, 'warmwater': 47.1, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 0.0, 'w': None, 'warmwater': 0.8, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month18-None] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 0.0, 'month': 7, 'unit': 'EUR', 'warmwater': 6.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 0.0, 'month': 7, 'w': None, 'warmwater': 52.3, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 0.0, 'month': 7, 'w': None, 'warmwater': 0.9, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 100, 'comparedValue': 2.0, 'lastYearValue': 2.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 0, 'comparedValue': 0.0, 'lastYearValue': 0.9, 'period': None, 'smiley': 'EQUAL', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 2.0, 2023: 0.0, 2024: 0.0, }), 'w': None, 'warmwater': dict({ 2022: 0.9, 2023: 0.9, 2024: 0.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 2.2, 'w': None, 'warmwater': 101.69999999999999, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 2.0, 'w': None, 'warmwater': 1.8, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month18-select_year0] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': None, 'last_custom_value': None, 'last_value': None, 'last_year_compared_consumption': None, 'sum_by_year': dict({ 'h': None, 'heating': dict({ 2024: 0.0, }), 'w': None, 'warmwater': dict({ 2024: 0.0, }), 'water': None, 'ww': None, }), 'total_additional_custom_values': dict({ 'h': None, 'heating': None, 'w': None, 'warmwater': None, 'water': None, 'ww': None, }), 'total_additional_values': dict({ 'h': None, 'heating': None, 'w': None, 'warmwater': None, 'water': None, 'ww': None, }), }) # --- # name: test_consum_raw_filters[True-select_month18-select_year1] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 0.0, 'month': 7, 'unit': 'EUR', 'warmwater': 6.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 0.0, 'month': 7, 'w': None, 'warmwater': 52.3, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 0.0, 'month': 7, 'w': None, 'warmwater': 0.9, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 100, 'comparedValue': 2.0, 'lastYearValue': 2.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 0, 'comparedValue': 0.0, 'lastYearValue': 0.9, 'period': None, 'smiley': 'EQUAL', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2023: 0.0, }), 'w': None, 'warmwater': dict({ 2023: 0.9, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 0.0, 'w': None, 'warmwater': 52.3, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 0.0, 'w': None, 'warmwater': 0.9, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month18-select_year2] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 7, 'unit': None, 'warmwater': None, 'water': None, 'year': 2022, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 2.2, 'month': 7, 'w': None, 'warmwater': 49.4, 'water': None, 'ww': 'kWh', 'year': 2022, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 2.0, 'month': 7, 'w': None, 'warmwater': 0.9, 'water': None, 'ww': 'm³', 'year': 2022, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 2.0, }), 'w': None, 'warmwater': dict({ 2022: 0.9, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 2.2, 'w': None, 'warmwater': 49.4, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 2.0, 'w': None, 'warmwater': 0.9, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month18-select_year3] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 7, 'unit': None, 'warmwater': None, 'water': None, 'year': 2022, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 2.2, 'month': 7, 'w': None, 'warmwater': 49.4, 'water': None, 'ww': 'kWh', 'year': 2022, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 2.0, 'month': 7, 'w': None, 'warmwater': 0.9, 'water': None, 'ww': 'm³', 'year': 2022, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 2.0, 2024: 0.0, }), 'w': None, 'warmwater': dict({ 2022: 0.9, 2024: 0.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 2.2, 'w': None, 'warmwater': 49.4, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 2.0, 'w': None, 'warmwater': 0.9, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month18-select_year4] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 0.0, 'month': 7, 'unit': 'EUR', 'warmwater': 6.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 0.0, 'month': 7, 'w': None, 'warmwater': 52.3, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 0.0, 'month': 7, 'w': None, 'warmwater': 0.9, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 100, 'comparedValue': 2.0, 'lastYearValue': 2.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 0, 'comparedValue': 0.0, 'lastYearValue': 0.9, 'period': None, 'smiley': 'EQUAL', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 2.0, 2023: 0.0, 2024: 0.0, }), 'w': None, 'warmwater': dict({ 2022: 0.9, 2023: 0.9, 2024: 0.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 2.2, 'w': None, 'warmwater': 101.69999999999999, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 2.0, 'w': None, 'warmwater': 1.8, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month18-select_year5] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 0.0, 'month': 7, 'unit': 'EUR', 'warmwater': 6.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 0.0, 'month': 7, 'w': None, 'warmwater': 52.3, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 0.0, 'month': 7, 'w': None, 'warmwater': 0.9, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 100, 'comparedValue': 2.0, 'lastYearValue': 2.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 0, 'comparedValue': 0.0, 'lastYearValue': 0.9, 'period': None, 'smiley': 'EQUAL', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 2.0, 2023: 0.0, }), 'w': None, 'warmwater': dict({ 2022: 0.9, 2023: 0.9, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 2.2, 'w': None, 'warmwater': 101.69999999999999, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 2.0, 'w': None, 'warmwater': 1.8, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month19-None] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 0.0, 'month': 8, 'unit': 'EUR', 'warmwater': 4.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 0.0, 'month': 8, 'w': None, 'warmwater': 32.6, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 0.0, 'month': 8, 'w': None, 'warmwater': 0.6, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 0, 'comparedValue': 0.0, 'lastYearValue': 0.0, 'period': None, 'smiley': 'EQUAL', }), 'warmwater': dict({ 'comparedPercentage': 20, 'comparedValue': 0.1, 'lastYearValue': 0.5, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2023: 0.0, 2024: 0.0, }), 'w': None, 'warmwater': dict({ 2022: 0.5, 2023: 0.6, 2024: 0.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 0.0, 'w': None, 'warmwater': 61.1, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 0.0, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month19-select_year0] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': None, 'last_custom_value': None, 'last_value': None, 'last_year_compared_consumption': None, 'sum_by_year': dict({ 'h': None, 'heating': dict({ 2024: 0.0, }), 'w': None, 'warmwater': dict({ 2024: 0.0, }), 'water': None, 'ww': None, }), 'total_additional_custom_values': dict({ 'h': None, 'heating': None, 'w': None, 'warmwater': None, 'water': None, 'ww': None, }), 'total_additional_values': dict({ 'h': None, 'heating': None, 'w': None, 'warmwater': None, 'water': None, 'ww': None, }), }) # --- # name: test_consum_raw_filters[True-select_month19-select_year1] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 0.0, 'month': 8, 'unit': 'EUR', 'warmwater': 4.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 0.0, 'month': 8, 'w': None, 'warmwater': 32.6, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 0.0, 'month': 8, 'w': None, 'warmwater': 0.6, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 0, 'comparedValue': 0.0, 'lastYearValue': 0.0, 'period': None, 'smiley': 'EQUAL', }), 'warmwater': dict({ 'comparedPercentage': 20, 'comparedValue': 0.1, 'lastYearValue': 0.5, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2023: 0.0, }), 'w': None, 'warmwater': dict({ 2023: 0.6, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 0.0, 'w': None, 'warmwater': 32.6, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 0.0, 'w': None, 'warmwater': 0.6, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month19-select_year2] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 8, 'unit': None, 'warmwater': None, 'water': None, 'year': 2022, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 0.0, 'month': 8, 'w': None, 'warmwater': 28.5, 'water': None, 'ww': 'kWh', 'year': 2022, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 0.0, 'month': 8, 'w': None, 'warmwater': 0.5, 'water': None, 'ww': 'm³', 'year': 2022, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, }), 'w': None, 'warmwater': dict({ 2022: 0.5, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 0.0, 'w': None, 'warmwater': 28.5, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 0.0, 'w': None, 'warmwater': 0.5, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month19-select_year3] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 8, 'unit': None, 'warmwater': None, 'water': None, 'year': 2022, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 0.0, 'month': 8, 'w': None, 'warmwater': 28.5, 'water': None, 'ww': 'kWh', 'year': 2022, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 0.0, 'month': 8, 'w': None, 'warmwater': 0.5, 'water': None, 'ww': 'm³', 'year': 2022, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2024: 0.0, }), 'w': None, 'warmwater': dict({ 2022: 0.5, 2024: 0.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 0.0, 'w': None, 'warmwater': 28.5, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 0.0, 'w': None, 'warmwater': 0.5, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month19-select_year4] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 0.0, 'month': 8, 'unit': 'EUR', 'warmwater': 4.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 0.0, 'month': 8, 'w': None, 'warmwater': 32.6, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 0.0, 'month': 8, 'w': None, 'warmwater': 0.6, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 0, 'comparedValue': 0.0, 'lastYearValue': 0.0, 'period': None, 'smiley': 'EQUAL', }), 'warmwater': dict({ 'comparedPercentage': 20, 'comparedValue': 0.1, 'lastYearValue': 0.5, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2023: 0.0, 2024: 0.0, }), 'w': None, 'warmwater': dict({ 2022: 0.5, 2023: 0.6, 2024: 0.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 0.0, 'w': None, 'warmwater': 61.1, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 0.0, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month19-select_year5] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 0.0, 'month': 8, 'unit': 'EUR', 'warmwater': 4.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 0.0, 'month': 8, 'w': None, 'warmwater': 32.6, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 0.0, 'month': 8, 'w': None, 'warmwater': 0.6, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 0, 'comparedValue': 0.0, 'lastYearValue': 0.0, 'period': None, 'smiley': 'EQUAL', }), 'warmwater': dict({ 'comparedPercentage': 20, 'comparedValue': 0.1, 'lastYearValue': 0.5, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2023: 0.0, }), 'w': None, 'warmwater': dict({ 2022: 0.5, 2023: 0.6, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 0.0, 'w': None, 'warmwater': 61.1, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 0.0, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month2-None] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 240.0, 'month': 3, 'unit': 'EUR', 'warmwater': 8.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 440.2, 'month': 3, 'w': None, 'warmwater': 65.7, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 405.0, 'month': 3, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 35, 'comparedValue': 106.0, 'lastYearValue': 299.0, 'period': None, 'smiley': 'MAD', }), 'warmwater': dict({ 'comparedPercentage': 10, 'comparedValue': 0.1, 'lastYearValue': 1.0, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2023: 1447.0, 2024: 1527.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2023: 2.9000000000000004, 2024: 2.9000000000000004, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 3232.6000000000004, 'w': None, 'warmwater': 342.50000000000006, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 2974.0, 'w': None, 'warmwater': 5.800000000000001, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month2-select_year0] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 240.0, 'month': 3, 'unit': 'EUR', 'warmwater': 8.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 440.2, 'month': 3, 'w': None, 'warmwater': 65.7, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 405.0, 'month': 3, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 35, 'comparedValue': 106.0, 'lastYearValue': 299.0, 'period': None, 'smiley': 'MAD', }), 'warmwater': dict({ 'comparedPercentage': 10, 'comparedValue': 0.1, 'lastYearValue': 1.0, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2024: 1527.0, }), 'w': None, 'warmwater': dict({ 2024: 2.9000000000000004, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1659.8000000000002, 'w': None, 'warmwater': 172.10000000000002, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1527.0, 'w': None, 'warmwater': 2.9000000000000004, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month2-select_year1] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 3, 'unit': None, 'warmwater': None, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 325.0, 'month': 3, 'w': None, 'warmwater': 60.5, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 299.0, 'month': 3, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2023: 1447.0, }), 'w': None, 'warmwater': dict({ 2023: 2.9000000000000004, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1572.8, 'w': None, 'warmwater': 170.4, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1447.0, 'w': None, 'warmwater': 2.9000000000000004, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month2-select_year2] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': None, 'last_custom_value': None, 'last_value': None, 'last_year_compared_consumption': None, 'sum_by_year': dict({ 'h': None, 'heating': dict({ 2022: 0.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, }), 'water': None, 'ww': None, }), 'total_additional_custom_values': dict({ 'h': None, 'heating': None, 'w': None, 'warmwater': None, 'water': None, 'ww': None, }), 'total_additional_values': dict({ 'h': None, 'heating': None, 'w': None, 'warmwater': None, 'water': None, 'ww': None, }), }) # --- # name: test_consum_raw_filters[True-select_month2-select_year3] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 240.0, 'month': 3, 'unit': 'EUR', 'warmwater': 8.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 440.2, 'month': 3, 'w': None, 'warmwater': 65.7, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 405.0, 'month': 3, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 35, 'comparedValue': 106.0, 'lastYearValue': 299.0, 'period': None, 'smiley': 'MAD', }), 'warmwater': dict({ 'comparedPercentage': 10, 'comparedValue': 0.1, 'lastYearValue': 1.0, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2024: 1527.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2024: 2.9000000000000004, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1659.8000000000002, 'w': None, 'warmwater': 172.10000000000002, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1527.0, 'w': None, 'warmwater': 2.9000000000000004, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month2-select_year4] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 240.0, 'month': 3, 'unit': 'EUR', 'warmwater': 8.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 440.2, 'month': 3, 'w': None, 'warmwater': 65.7, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 405.0, 'month': 3, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 35, 'comparedValue': 106.0, 'lastYearValue': 299.0, 'period': None, 'smiley': 'MAD', }), 'warmwater': dict({ 'comparedPercentage': 10, 'comparedValue': 0.1, 'lastYearValue': 1.0, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2023: 1447.0, 2024: 1527.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2023: 2.9000000000000004, 2024: 2.9000000000000004, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 3232.6000000000004, 'w': None, 'warmwater': 342.50000000000006, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 2974.0, 'w': None, 'warmwater': 5.800000000000001, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month2-select_year5] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 3, 'unit': None, 'warmwater': None, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 325.0, 'month': 3, 'w': None, 'warmwater': 60.5, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 299.0, 'month': 3, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2023: 1447.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2023: 2.9000000000000004, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1572.8, 'w': None, 'warmwater': 170.4, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1447.0, 'w': None, 'warmwater': 2.9000000000000004, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month20-None] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 14.0, 'month': 9, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 25.0, 'month': 9, 'w': None, 'warmwater': 60.5, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 23.0, 'month': 9, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 188, 'comparedValue': 15.0, 'lastYearValue': 8.0, 'period': None, 'smiley': 'MAD', }), 'warmwater': dict({ 'comparedPercentage': 9, 'comparedValue': 0.1, 'lastYearValue': 1.1, 'period': None, 'smiley': 'HAPPY', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 8.0, 2023: 23.0, 2024: 0.0, }), 'w': None, 'warmwater': dict({ 2022: 1.1, 2023: 1.0, 2024: 0.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 33.7, 'w': None, 'warmwater': 126.2, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 31.0, 'w': None, 'warmwater': 2.1, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month20-select_year0] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': None, 'last_custom_value': None, 'last_value': None, 'last_year_compared_consumption': None, 'sum_by_year': dict({ 'h': None, 'heating': dict({ 2024: 0.0, }), 'w': None, 'warmwater': dict({ 2024: 0.0, }), 'water': None, 'ww': None, }), 'total_additional_custom_values': dict({ 'h': None, 'heating': None, 'w': None, 'warmwater': None, 'water': None, 'ww': None, }), 'total_additional_values': dict({ 'h': None, 'heating': None, 'w': None, 'warmwater': None, 'water': None, 'ww': None, }), }) # --- # name: test_consum_raw_filters[True-select_month20-select_year1] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 14.0, 'month': 9, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 25.0, 'month': 9, 'w': None, 'warmwater': 60.5, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 23.0, 'month': 9, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 188, 'comparedValue': 15.0, 'lastYearValue': 8.0, 'period': None, 'smiley': 'MAD', }), 'warmwater': dict({ 'comparedPercentage': 9, 'comparedValue': 0.1, 'lastYearValue': 1.1, 'period': None, 'smiley': 'HAPPY', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2023: 23.0, }), 'w': None, 'warmwater': dict({ 2023: 1.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 25.0, 'w': None, 'warmwater': 60.5, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 23.0, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month20-select_year2] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 9, 'unit': None, 'warmwater': None, 'water': None, 'year': 2022, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 8.7, 'month': 9, 'w': None, 'warmwater': 65.7, 'water': None, 'ww': 'kWh', 'year': 2022, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 8.0, 'month': 9, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2022, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 8.0, }), 'w': None, 'warmwater': dict({ 2022: 1.1, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 8.7, 'w': None, 'warmwater': 65.7, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 8.0, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month20-select_year3] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 9, 'unit': None, 'warmwater': None, 'water': None, 'year': 2022, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 8.7, 'month': 9, 'w': None, 'warmwater': 65.7, 'water': None, 'ww': 'kWh', 'year': 2022, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 8.0, 'month': 9, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2022, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 8.0, 2024: 0.0, }), 'w': None, 'warmwater': dict({ 2022: 1.1, 2024: 0.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 8.7, 'w': None, 'warmwater': 65.7, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 8.0, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month20-select_year4] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 14.0, 'month': 9, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 25.0, 'month': 9, 'w': None, 'warmwater': 60.5, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 23.0, 'month': 9, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 188, 'comparedValue': 15.0, 'lastYearValue': 8.0, 'period': None, 'smiley': 'MAD', }), 'warmwater': dict({ 'comparedPercentage': 9, 'comparedValue': 0.1, 'lastYearValue': 1.1, 'period': None, 'smiley': 'HAPPY', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 8.0, 2023: 23.0, 2024: 0.0, }), 'w': None, 'warmwater': dict({ 2022: 1.1, 2023: 1.0, 2024: 0.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 33.7, 'w': None, 'warmwater': 126.2, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 31.0, 'w': None, 'warmwater': 2.1, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month20-select_year5] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 14.0, 'month': 9, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 25.0, 'month': 9, 'w': None, 'warmwater': 60.5, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 23.0, 'month': 9, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 188, 'comparedValue': 15.0, 'lastYearValue': 8.0, 'period': None, 'smiley': 'MAD', }), 'warmwater': dict({ 'comparedPercentage': 9, 'comparedValue': 0.1, 'lastYearValue': 1.1, 'period': None, 'smiley': 'HAPPY', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 8.0, 2023: 23.0, }), 'w': None, 'warmwater': dict({ 2022: 1.1, 2023: 1.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 33.7, 'w': None, 'warmwater': 126.2, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 31.0, 'w': None, 'warmwater': 2.1, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month21-None] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 73.0, 'month': 10, 'unit': 'EUR', 'warmwater': 9.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 133.7, 'month': 10, 'w': None, 'warmwater': 78.5, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 123.0, 'month': 10, 'w': None, 'warmwater': 1.4, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 31, 'comparedValue': 56.0, 'lastYearValue': 179.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 17, 'comparedValue': 0.2, 'lastYearValue': 1.2, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 179.0, 2023: 123.0, 2024: 0.0, }), 'w': None, 'warmwater': dict({ 2022: 1.2, 2023: 1.4, 2024: 0.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 328.29999999999995, 'w': None, 'warmwater': 150.6, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 302.0, 'w': None, 'warmwater': 2.5999999999999996, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month21-select_year0] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': None, 'last_custom_value': None, 'last_value': None, 'last_year_compared_consumption': None, 'sum_by_year': dict({ 'h': None, 'heating': dict({ 2024: 0.0, }), 'w': None, 'warmwater': dict({ 2024: 0.0, }), 'water': None, 'ww': None, }), 'total_additional_custom_values': dict({ 'h': None, 'heating': None, 'w': None, 'warmwater': None, 'water': None, 'ww': None, }), 'total_additional_values': dict({ 'h': None, 'heating': None, 'w': None, 'warmwater': None, 'water': None, 'ww': None, }), }) # --- # name: test_consum_raw_filters[True-select_month21-select_year1] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 73.0, 'month': 10, 'unit': 'EUR', 'warmwater': 9.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 133.7, 'month': 10, 'w': None, 'warmwater': 78.5, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 123.0, 'month': 10, 'w': None, 'warmwater': 1.4, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 31, 'comparedValue': 56.0, 'lastYearValue': 179.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 17, 'comparedValue': 0.2, 'lastYearValue': 1.2, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2023: 123.0, }), 'w': None, 'warmwater': dict({ 2023: 1.4, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 133.7, 'w': None, 'warmwater': 78.5, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 123.0, 'w': None, 'warmwater': 1.4, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month21-select_year2] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 10, 'unit': None, 'warmwater': None, 'water': None, 'year': 2022, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 194.6, 'month': 10, 'w': None, 'warmwater': 72.1, 'water': None, 'ww': 'kWh', 'year': 2022, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 179.0, 'month': 10, 'w': None, 'warmwater': 1.2, 'water': None, 'ww': 'm³', 'year': 2022, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 179.0, }), 'w': None, 'warmwater': dict({ 2022: 1.2, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 194.6, 'w': None, 'warmwater': 72.1, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 179.0, 'w': None, 'warmwater': 1.2, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month21-select_year3] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 10, 'unit': None, 'warmwater': None, 'water': None, 'year': 2022, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 194.6, 'month': 10, 'w': None, 'warmwater': 72.1, 'water': None, 'ww': 'kWh', 'year': 2022, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 179.0, 'month': 10, 'w': None, 'warmwater': 1.2, 'water': None, 'ww': 'm³', 'year': 2022, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 179.0, 2024: 0.0, }), 'w': None, 'warmwater': dict({ 2022: 1.2, 2024: 0.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 194.6, 'w': None, 'warmwater': 72.1, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 179.0, 'w': None, 'warmwater': 1.2, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month21-select_year4] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 73.0, 'month': 10, 'unit': 'EUR', 'warmwater': 9.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 133.7, 'month': 10, 'w': None, 'warmwater': 78.5, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 123.0, 'month': 10, 'w': None, 'warmwater': 1.4, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 31, 'comparedValue': 56.0, 'lastYearValue': 179.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 17, 'comparedValue': 0.2, 'lastYearValue': 1.2, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 179.0, 2023: 123.0, 2024: 0.0, }), 'w': None, 'warmwater': dict({ 2022: 1.2, 2023: 1.4, 2024: 0.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 328.29999999999995, 'w': None, 'warmwater': 150.6, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 302.0, 'w': None, 'warmwater': 2.5999999999999996, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month21-select_year5] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 73.0, 'month': 10, 'unit': 'EUR', 'warmwater': 9.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 133.7, 'month': 10, 'w': None, 'warmwater': 78.5, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 123.0, 'month': 10, 'w': None, 'warmwater': 1.4, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 31, 'comparedValue': 56.0, 'lastYearValue': 179.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 17, 'comparedValue': 0.2, 'lastYearValue': 1.2, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 179.0, 2023: 123.0, }), 'w': None, 'warmwater': dict({ 2022: 1.2, 2023: 1.4, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 328.29999999999995, 'w': None, 'warmwater': 150.6, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 302.0, 'w': None, 'warmwater': 2.5999999999999996, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month22-None] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 204.0, 'month': 11, 'unit': 'EUR', 'warmwater': 8.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 375.0, 'month': 11, 'w': None, 'warmwater': 64.5, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 345.0, 'month': 11, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 5, 'comparedValue': 20.0, 'lastYearValue': 365.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 0, 'comparedValue': 0.0, 'lastYearValue': 1.1, 'period': None, 'smiley': 'EQUAL', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 365.0, 2023: 345.0, 2024: 0.0, }), 'w': None, 'warmwater': dict({ 2022: 1.1, 2023: 1.1, 2024: 0.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 771.7, 'w': None, 'warmwater': 125.6, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 710.0, 'w': None, 'warmwater': 2.2, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month22-select_year0] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': None, 'last_custom_value': None, 'last_value': None, 'last_year_compared_consumption': None, 'sum_by_year': dict({ 'h': None, 'heating': dict({ 2024: 0.0, }), 'w': None, 'warmwater': dict({ 2024: 0.0, }), 'water': None, 'ww': None, }), 'total_additional_custom_values': dict({ 'h': None, 'heating': None, 'w': None, 'warmwater': None, 'water': None, 'ww': None, }), 'total_additional_values': dict({ 'h': None, 'heating': None, 'w': None, 'warmwater': None, 'water': None, 'ww': None, }), }) # --- # name: test_consum_raw_filters[True-select_month22-select_year1] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 204.0, 'month': 11, 'unit': 'EUR', 'warmwater': 8.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 375.0, 'month': 11, 'w': None, 'warmwater': 64.5, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 345.0, 'month': 11, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 5, 'comparedValue': 20.0, 'lastYearValue': 365.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 0, 'comparedValue': 0.0, 'lastYearValue': 1.1, 'period': None, 'smiley': 'EQUAL', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2023: 345.0, }), 'w': None, 'warmwater': dict({ 2023: 1.1, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 375.0, 'w': None, 'warmwater': 64.5, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 345.0, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month22-select_year2] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 11, 'unit': None, 'warmwater': None, 'water': None, 'year': 2022, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 396.7, 'month': 11, 'w': None, 'warmwater': 61.1, 'water': None, 'ww': 'kWh', 'year': 2022, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 365.0, 'month': 11, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2022, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 365.0, }), 'w': None, 'warmwater': dict({ 2022: 1.1, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 396.7, 'w': None, 'warmwater': 61.1, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 365.0, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month22-select_year3] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 11, 'unit': None, 'warmwater': None, 'water': None, 'year': 2022, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 396.7, 'month': 11, 'w': None, 'warmwater': 61.1, 'water': None, 'ww': 'kWh', 'year': 2022, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 365.0, 'month': 11, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2022, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 365.0, 2024: 0.0, }), 'w': None, 'warmwater': dict({ 2022: 1.1, 2024: 0.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 396.7, 'w': None, 'warmwater': 61.1, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 365.0, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month22-select_year4] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 204.0, 'month': 11, 'unit': 'EUR', 'warmwater': 8.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 375.0, 'month': 11, 'w': None, 'warmwater': 64.5, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 345.0, 'month': 11, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 5, 'comparedValue': 20.0, 'lastYearValue': 365.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 0, 'comparedValue': 0.0, 'lastYearValue': 1.1, 'period': None, 'smiley': 'EQUAL', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 365.0, 2023: 345.0, 2024: 0.0, }), 'w': None, 'warmwater': dict({ 2022: 1.1, 2023: 1.1, 2024: 0.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 771.7, 'w': None, 'warmwater': 125.6, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 710.0, 'w': None, 'warmwater': 2.2, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month22-select_year5] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 204.0, 'month': 11, 'unit': 'EUR', 'warmwater': 8.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 375.0, 'month': 11, 'w': None, 'warmwater': 64.5, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 345.0, 'month': 11, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 5, 'comparedValue': 20.0, 'lastYearValue': 365.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 0, 'comparedValue': 0.0, 'lastYearValue': 1.1, 'period': None, 'smiley': 'EQUAL', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 365.0, 2023: 345.0, }), 'w': None, 'warmwater': dict({ 2022: 1.1, 2023: 1.1, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 771.7, 'w': None, 'warmwater': 125.6, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 710.0, 'w': None, 'warmwater': 2.2, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month23-None] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 289.0, 'month': 12, 'unit': 'EUR', 'warmwater': 8.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 531.5, 'month': 12, 'w': None, 'warmwater': 63.4, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 489.0, 'month': 12, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 8, 'comparedValue': 45.0, 'lastYearValue': 534.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 10, 'comparedValue': 0.1, 'lastYearValue': 1.0, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 534.0, 2023: 489.0, 2024: 0.0, }), 'w': None, 'warmwater': dict({ 2022: 1.0, 2023: 1.1, 2024: 0.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1111.9, 'w': None, 'warmwater': 121.0, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1023.0, 'w': None, 'warmwater': 2.1, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month23-select_year0] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': None, 'last_custom_value': None, 'last_value': None, 'last_year_compared_consumption': None, 'sum_by_year': dict({ 'h': None, 'heating': dict({ 2024: 0.0, }), 'w': None, 'warmwater': dict({ 2024: 0.0, }), 'water': None, 'ww': None, }), 'total_additional_custom_values': dict({ 'h': None, 'heating': None, 'w': None, 'warmwater': None, 'water': None, 'ww': None, }), 'total_additional_values': dict({ 'h': None, 'heating': None, 'w': None, 'warmwater': None, 'water': None, 'ww': None, }), }) # --- # name: test_consum_raw_filters[True-select_month23-select_year1] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 289.0, 'month': 12, 'unit': 'EUR', 'warmwater': 8.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 531.5, 'month': 12, 'w': None, 'warmwater': 63.4, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 489.0, 'month': 12, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 8, 'comparedValue': 45.0, 'lastYearValue': 534.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 10, 'comparedValue': 0.1, 'lastYearValue': 1.0, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2023: 489.0, }), 'w': None, 'warmwater': dict({ 2023: 1.1, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 531.5, 'w': None, 'warmwater': 63.4, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 489.0, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month23-select_year2] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 12, 'unit': None, 'warmwater': None, 'water': None, 'year': 2022, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 580.4, 'month': 12, 'w': None, 'warmwater': 57.6, 'water': None, 'ww': 'kWh', 'year': 2022, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 534.0, 'month': 12, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2022, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 534.0, }), 'w': None, 'warmwater': dict({ 2022: 1.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 580.4, 'w': None, 'warmwater': 57.6, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 534.0, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month23-select_year3] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 12, 'unit': None, 'warmwater': None, 'water': None, 'year': 2022, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 580.4, 'month': 12, 'w': None, 'warmwater': 57.6, 'water': None, 'ww': 'kWh', 'year': 2022, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 534.0, 'month': 12, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2022, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 534.0, 2024: 0.0, }), 'w': None, 'warmwater': dict({ 2022: 1.0, 2024: 0.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 580.4, 'w': None, 'warmwater': 57.6, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 534.0, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month23-select_year4] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 289.0, 'month': 12, 'unit': 'EUR', 'warmwater': 8.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 531.5, 'month': 12, 'w': None, 'warmwater': 63.4, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 489.0, 'month': 12, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 8, 'comparedValue': 45.0, 'lastYearValue': 534.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 10, 'comparedValue': 0.1, 'lastYearValue': 1.0, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 534.0, 2023: 489.0, 2024: 0.0, }), 'w': None, 'warmwater': dict({ 2022: 1.0, 2023: 1.1, 2024: 0.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1111.9, 'w': None, 'warmwater': 121.0, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1023.0, 'w': None, 'warmwater': 2.1, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month23-select_year5] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 289.0, 'month': 12, 'unit': 'EUR', 'warmwater': 8.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 531.5, 'month': 12, 'w': None, 'warmwater': 63.4, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 489.0, 'month': 12, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 8, 'comparedValue': 45.0, 'lastYearValue': 534.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 10, 'comparedValue': 0.1, 'lastYearValue': 1.0, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 534.0, 2023: 489.0, }), 'w': None, 'warmwater': dict({ 2022: 1.0, 2023: 1.1, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1111.9, 'w': None, 'warmwater': 121.0, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1023.0, 'w': None, 'warmwater': 2.1, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month24-None] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 358.0, 'month': 1, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 657.6, 'month': 1, 'w': None, 'warmwater': 58.7, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 605.0, 'month': 1, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 1, 'comparedValue': 7.0, 'lastYearValue': 598.0, 'period': None, 'smiley': 'MAD', }), 'warmwater': dict({ 'comparedPercentage': 9, 'comparedValue': 0.1, 'lastYearValue': 1.1, 'period': None, 'smiley': 'HAPPY', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 534.0, 2023: 1087.0, 2024: 605.0, }), 'w': None, 'warmwater': dict({ 2022: 1.0, 2023: 2.2, 2024: 1.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 2419.5, 'w': None, 'warmwater': 241.29999999999998, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 2226.0, 'w': None, 'warmwater': 4.2, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month24-select_year0] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 358.0, 'month': 1, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 657.6, 'month': 1, 'w': None, 'warmwater': 58.7, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 605.0, 'month': 1, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 1, 'comparedValue': 7.0, 'lastYearValue': 598.0, 'period': None, 'smiley': 'MAD', }), 'warmwater': dict({ 'comparedPercentage': 9, 'comparedValue': 0.1, 'lastYearValue': 1.1, 'period': None, 'smiley': 'HAPPY', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2024: 605.0, }), 'w': None, 'warmwater': dict({ 2024: 1.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 657.6, 'w': None, 'warmwater': 58.7, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 605.0, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month24-select_year1] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 289.0, 'month': 12, 'unit': 'EUR', 'warmwater': 8.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 531.5, 'month': 12, 'w': None, 'warmwater': 63.4, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 489.0, 'month': 12, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 8, 'comparedValue': 45.0, 'lastYearValue': 534.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 10, 'comparedValue': 0.1, 'lastYearValue': 1.0, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2023: 1087.0, }), 'w': None, 'warmwater': dict({ 2023: 2.2, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1181.5, 'w': None, 'warmwater': 125.0, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1087.0, 'w': None, 'warmwater': 2.2, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month24-select_year2] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 12, 'unit': None, 'warmwater': None, 'water': None, 'year': 2022, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 580.4, 'month': 12, 'w': None, 'warmwater': 57.6, 'water': None, 'ww': 'kWh', 'year': 2022, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 534.0, 'month': 12, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2022, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 534.0, }), 'w': None, 'warmwater': dict({ 2022: 1.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 580.4, 'w': None, 'warmwater': 57.6, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 534.0, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month24-select_year3] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 358.0, 'month': 1, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 657.6, 'month': 1, 'w': None, 'warmwater': 58.7, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 605.0, 'month': 1, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 1, 'comparedValue': 7.0, 'lastYearValue': 598.0, 'period': None, 'smiley': 'MAD', }), 'warmwater': dict({ 'comparedPercentage': 9, 'comparedValue': 0.1, 'lastYearValue': 1.1, 'period': None, 'smiley': 'HAPPY', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 534.0, 2024: 605.0, }), 'w': None, 'warmwater': dict({ 2022: 1.0, 2024: 1.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1238.0, 'w': None, 'warmwater': 116.30000000000001, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1139.0, 'w': None, 'warmwater': 2.0, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month24-select_year4] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 358.0, 'month': 1, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 657.6, 'month': 1, 'w': None, 'warmwater': 58.7, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 605.0, 'month': 1, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 1, 'comparedValue': 7.0, 'lastYearValue': 598.0, 'period': None, 'smiley': 'MAD', }), 'warmwater': dict({ 'comparedPercentage': 9, 'comparedValue': 0.1, 'lastYearValue': 1.1, 'period': None, 'smiley': 'HAPPY', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 534.0, 2023: 1087.0, 2024: 605.0, }), 'w': None, 'warmwater': dict({ 2022: 1.0, 2023: 2.2, 2024: 1.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 2419.5, 'w': None, 'warmwater': 241.29999999999998, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 2226.0, 'w': None, 'warmwater': 4.2, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month24-select_year5] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 289.0, 'month': 12, 'unit': 'EUR', 'warmwater': 8.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 531.5, 'month': 12, 'w': None, 'warmwater': 63.4, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 489.0, 'month': 12, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 8, 'comparedValue': 45.0, 'lastYearValue': 534.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 10, 'comparedValue': 0.1, 'lastYearValue': 1.0, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 534.0, 2023: 1087.0, }), 'w': None, 'warmwater': dict({ 2022: 1.0, 2023: 2.2, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1761.9, 'w': None, 'warmwater': 182.6, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1621.0, 'w': None, 'warmwater': 3.2, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month25-None] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 240.0, 'month': 3, 'unit': 'EUR', 'warmwater': 8.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 440.2, 'month': 3, 'w': None, 'warmwater': 65.7, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 405.0, 'month': 3, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 35, 'comparedValue': 106.0, 'lastYearValue': 299.0, 'period': None, 'smiley': 'MAD', }), 'warmwater': dict({ 'comparedPercentage': 10, 'comparedValue': 0.1, 'lastYearValue': 1.0, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 534.0, 2023: 1338.0, 2024: 922.0, }), 'w': None, 'warmwater': dict({ 2022: 1.0, 2023: 2.9000000000000004, 2024: 1.9000000000000001, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 3036.9, 'w': None, 'warmwater': 343.20000000000005, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 2794.0, 'w': None, 'warmwater': 5.8, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month25-select_year0] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 240.0, 'month': 3, 'unit': 'EUR', 'warmwater': 8.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 440.2, 'month': 3, 'w': None, 'warmwater': 65.7, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 405.0, 'month': 3, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 35, 'comparedValue': 106.0, 'lastYearValue': 299.0, 'period': None, 'smiley': 'MAD', }), 'warmwater': dict({ 'comparedPercentage': 10, 'comparedValue': 0.1, 'lastYearValue': 1.0, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2024: 922.0, }), 'w': None, 'warmwater': dict({ 2024: 1.9000000000000001, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1002.2, 'w': None, 'warmwater': 113.4, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 922.0, 'w': None, 'warmwater': 1.9000000000000001, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month25-select_year1] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 289.0, 'month': 12, 'unit': 'EUR', 'warmwater': 8.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 531.5, 'month': 12, 'w': None, 'warmwater': 63.4, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 489.0, 'month': 12, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 8, 'comparedValue': 45.0, 'lastYearValue': 534.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 10, 'comparedValue': 0.1, 'lastYearValue': 1.0, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2023: 1338.0, }), 'w': None, 'warmwater': dict({ 2023: 2.9000000000000004, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1454.3, 'w': None, 'warmwater': 172.2, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1338.0, 'w': None, 'warmwater': 2.9000000000000004, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month25-select_year2] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 12, 'unit': None, 'warmwater': None, 'water': None, 'year': 2022, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 580.4, 'month': 12, 'w': None, 'warmwater': 57.6, 'water': None, 'ww': 'kWh', 'year': 2022, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 534.0, 'month': 12, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2022, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 534.0, }), 'w': None, 'warmwater': dict({ 2022: 1.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 580.4, 'w': None, 'warmwater': 57.6, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 534.0, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month25-select_year3] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 240.0, 'month': 3, 'unit': 'EUR', 'warmwater': 8.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 440.2, 'month': 3, 'w': None, 'warmwater': 65.7, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 405.0, 'month': 3, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 35, 'comparedValue': 106.0, 'lastYearValue': 299.0, 'period': None, 'smiley': 'MAD', }), 'warmwater': dict({ 'comparedPercentage': 10, 'comparedValue': 0.1, 'lastYearValue': 1.0, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 534.0, 2024: 922.0, }), 'w': None, 'warmwater': dict({ 2022: 1.0, 2024: 1.9000000000000001, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1582.6, 'w': None, 'warmwater': 171.0, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1456.0, 'w': None, 'warmwater': 2.9000000000000004, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month25-select_year4] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 240.0, 'month': 3, 'unit': 'EUR', 'warmwater': 8.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 440.2, 'month': 3, 'w': None, 'warmwater': 65.7, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 405.0, 'month': 3, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 35, 'comparedValue': 106.0, 'lastYearValue': 299.0, 'period': None, 'smiley': 'MAD', }), 'warmwater': dict({ 'comparedPercentage': 10, 'comparedValue': 0.1, 'lastYearValue': 1.0, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 534.0, 2023: 1338.0, 2024: 922.0, }), 'w': None, 'warmwater': dict({ 2022: 1.0, 2023: 2.9000000000000004, 2024: 1.9000000000000001, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 3036.9, 'w': None, 'warmwater': 343.20000000000005, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 2794.0, 'w': None, 'warmwater': 5.8, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month25-select_year5] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 289.0, 'month': 12, 'unit': 'EUR', 'warmwater': 8.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 531.5, 'month': 12, 'w': None, 'warmwater': 63.4, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 489.0, 'month': 12, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 8, 'comparedValue': 45.0, 'lastYearValue': 534.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 10, 'comparedValue': 0.1, 'lastYearValue': 1.0, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 534.0, 2023: 1338.0, }), 'w': None, 'warmwater': dict({ 2022: 1.0, 2023: 2.9000000000000004, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 2034.6999999999998, 'w': None, 'warmwater': 229.79999999999998, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1872.0, 'w': None, 'warmwater': 3.9000000000000004, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month26-None] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 62.0, 'month': 4, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 113.0, 'month': 4, 'w': None, 'warmwater': 61.1, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 104.0, 'month': 4, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 53, 'comparedValue': 36.0, 'lastYearValue': 68.0, 'period': None, 'smiley': 'MAD', }), 'warmwater': dict({ 'comparedPercentage': 10, 'comparedValue': 0.1, 'lastYearValue': 1.0, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 534.0, 2023: 856.0, 2024: 509.0, }), 'w': None, 'warmwater': dict({ 2022: 1.0, 2023: 3.1, 2024: 2.2, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 2064.0, 'w': None, 'warmwater': 365.90000000000003, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1899.0, 'w': None, 'warmwater': 6.300000000000001, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month26-select_year0] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 62.0, 'month': 4, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 113.0, 'month': 4, 'w': None, 'warmwater': 61.1, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 104.0, 'month': 4, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 53, 'comparedValue': 36.0, 'lastYearValue': 68.0, 'period': None, 'smiley': 'MAD', }), 'warmwater': dict({ 'comparedPercentage': 10, 'comparedValue': 0.1, 'lastYearValue': 1.0, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2024: 509.0, }), 'w': None, 'warmwater': dict({ 2024: 2.2, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 553.2, 'w': None, 'warmwater': 126.80000000000001, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 509.0, 'w': None, 'warmwater': 2.2, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month26-select_year1] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 289.0, 'month': 12, 'unit': 'EUR', 'warmwater': 8.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 531.5, 'month': 12, 'w': None, 'warmwater': 63.4, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 489.0, 'month': 12, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 8, 'comparedValue': 45.0, 'lastYearValue': 534.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 10, 'comparedValue': 0.1, 'lastYearValue': 1.0, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2023: 856.0, }), 'w': None, 'warmwater': dict({ 2023: 3.1, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 930.4, 'w': None, 'warmwater': 181.5, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 856.0, 'w': None, 'warmwater': 3.1, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month26-select_year2] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 12, 'unit': None, 'warmwater': None, 'water': None, 'year': 2022, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 580.4, 'month': 12, 'w': None, 'warmwater': 57.6, 'water': None, 'ww': 'kWh', 'year': 2022, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 534.0, 'month': 12, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2022, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 534.0, }), 'w': None, 'warmwater': dict({ 2022: 1.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 580.4, 'w': None, 'warmwater': 57.6, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 534.0, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month26-select_year3] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 62.0, 'month': 4, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 113.0, 'month': 4, 'w': None, 'warmwater': 61.1, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 104.0, 'month': 4, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 53, 'comparedValue': 36.0, 'lastYearValue': 68.0, 'period': None, 'smiley': 'MAD', }), 'warmwater': dict({ 'comparedPercentage': 10, 'comparedValue': 0.1, 'lastYearValue': 1.0, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 534.0, 2024: 509.0, }), 'w': None, 'warmwater': dict({ 2022: 1.0, 2024: 2.2, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1133.6, 'w': None, 'warmwater': 184.4, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1043.0, 'w': None, 'warmwater': 3.2, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month26-select_year4] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 62.0, 'month': 4, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 113.0, 'month': 4, 'w': None, 'warmwater': 61.1, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 104.0, 'month': 4, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 53, 'comparedValue': 36.0, 'lastYearValue': 68.0, 'period': None, 'smiley': 'MAD', }), 'warmwater': dict({ 'comparedPercentage': 10, 'comparedValue': 0.1, 'lastYearValue': 1.0, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 534.0, 2023: 856.0, 2024: 509.0, }), 'w': None, 'warmwater': dict({ 2022: 1.0, 2023: 3.1, 2024: 2.2, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 2064.0, 'w': None, 'warmwater': 365.90000000000003, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1899.0, 'w': None, 'warmwater': 6.300000000000001, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month26-select_year5] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 289.0, 'month': 12, 'unit': 'EUR', 'warmwater': 8.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 531.5, 'month': 12, 'w': None, 'warmwater': 63.4, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 489.0, 'month': 12, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 8, 'comparedValue': 45.0, 'lastYearValue': 534.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 10, 'comparedValue': 0.1, 'lastYearValue': 1.0, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 534.0, 2023: 856.0, }), 'w': None, 'warmwater': dict({ 2022: 1.0, 2023: 3.1, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1510.8, 'w': None, 'warmwater': 239.1, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1390.0, 'w': None, 'warmwater': 4.1, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month27-None] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 534.0, 2023: 602.0, 2024: 139.0, }), 'w': None, 'warmwater': dict({ 2022: 1.0, 2023: 2.8, 2024: 2.1, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1385.6999999999998, 'w': None, 'warmwater': 335.70000000000005, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1275.0, 'w': None, 'warmwater': 5.9, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month27-select_year0] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2024: 139.0, }), 'w': None, 'warmwater': dict({ 2024: 2.1, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 151.0, 'w': None, 'warmwater': 118.1, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 139.0, 'w': None, 'warmwater': 2.1, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month27-select_year1] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 289.0, 'month': 12, 'unit': 'EUR', 'warmwater': 8.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 531.5, 'month': 12, 'w': None, 'warmwater': 63.4, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 489.0, 'month': 12, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 8, 'comparedValue': 45.0, 'lastYearValue': 534.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 10, 'comparedValue': 0.1, 'lastYearValue': 1.0, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2023: 602.0, }), 'w': None, 'warmwater': dict({ 2023: 2.8, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 654.3, 'w': None, 'warmwater': 160.0, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 602.0, 'w': None, 'warmwater': 2.8, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month27-select_year2] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 12, 'unit': None, 'warmwater': None, 'water': None, 'year': 2022, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 580.4, 'month': 12, 'w': None, 'warmwater': 57.6, 'water': None, 'ww': 'kWh', 'year': 2022, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 534.0, 'month': 12, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2022, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 534.0, }), 'w': None, 'warmwater': dict({ 2022: 1.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 580.4, 'w': None, 'warmwater': 57.6, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 534.0, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month27-select_year3] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 534.0, 2024: 139.0, }), 'w': None, 'warmwater': dict({ 2022: 1.0, 2024: 2.1, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 731.4, 'w': None, 'warmwater': 175.7, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 673.0, 'w': None, 'warmwater': 3.1, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month27-select_year4] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 534.0, 2023: 602.0, 2024: 139.0, }), 'w': None, 'warmwater': dict({ 2022: 1.0, 2023: 2.8, 2024: 2.1, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1385.6999999999998, 'w': None, 'warmwater': 335.70000000000005, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1275.0, 'w': None, 'warmwater': 5.9, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month27-select_year5] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 289.0, 'month': 12, 'unit': 'EUR', 'warmwater': 8.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 531.5, 'month': 12, 'w': None, 'warmwater': 63.4, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 489.0, 'month': 12, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 8, 'comparedValue': 45.0, 'lastYearValue': 534.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 10, 'comparedValue': 0.1, 'lastYearValue': 1.0, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 534.0, 2023: 602.0, }), 'w': None, 'warmwater': dict({ 2022: 1.0, 2023: 2.8, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1234.6999999999998, 'w': None, 'warmwater': 217.6, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1136.0, 'w': None, 'warmwater': 3.8, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month28-None] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 375.0, 2023: 1310.0, 2024: 1045.0, }), 'w': None, 'warmwater': dict({ 2022: 3.1, 2023: 5.800000000000001, 2024: 3.1, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 2967.2999999999993, 'w': None, 'warmwater': 696.0, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 2730.0, 'w': None, 'warmwater': 12.0, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month28-select_year0] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2024: 1045.0, }), 'w': None, 'warmwater': dict({ 2024: 3.1, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1135.8, 'w': None, 'warmwater': 181.4, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1045.0, 'w': None, 'warmwater': 3.1, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month28-select_year1] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 204.0, 'month': 11, 'unit': 'EUR', 'warmwater': 8.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 375.0, 'month': 11, 'w': None, 'warmwater': 64.5, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 345.0, 'month': 11, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 5, 'comparedValue': 20.0, 'lastYearValue': 365.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 0, 'comparedValue': 0.0, 'lastYearValue': 1.1, 'period': None, 'smiley': 'EQUAL', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2023: 1310.0, }), 'w': None, 'warmwater': dict({ 2023: 5.800000000000001, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1423.9, 'w': None, 'warmwater': 338.40000000000003, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1310.0, 'w': None, 'warmwater': 5.800000000000001, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month28-select_year2] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 11, 'unit': None, 'warmwater': None, 'water': None, 'year': 2022, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 396.7, 'month': 11, 'w': None, 'warmwater': 61.1, 'water': None, 'ww': 'kWh', 'year': 2022, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 365.0, 'month': 11, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2022, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 375.0, }), 'w': None, 'warmwater': dict({ 2022: 3.1, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 407.59999999999997, 'w': None, 'warmwater': 176.20000000000002, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 375.0, 'w': None, 'warmwater': 3.1, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month28-select_year3] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 375.0, 2024: 1045.0, }), 'w': None, 'warmwater': dict({ 2022: 3.1, 2024: 3.1, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1543.4, 'w': None, 'warmwater': 357.59999999999997, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1420.0, 'w': None, 'warmwater': 6.200000000000001, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month28-select_year4] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 375.0, 2023: 1310.0, 2024: 1045.0, }), 'w': None, 'warmwater': dict({ 2022: 3.1, 2023: 5.800000000000001, 2024: 3.1, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 2967.2999999999993, 'w': None, 'warmwater': 696.0, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 2730.0, 'w': None, 'warmwater': 12.0, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month28-select_year5] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 204.0, 'month': 11, 'unit': 'EUR', 'warmwater': 8.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 375.0, 'month': 11, 'w': None, 'warmwater': 64.5, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 345.0, 'month': 11, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 5, 'comparedValue': 20.0, 'lastYearValue': 365.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 0, 'comparedValue': 0.0, 'lastYearValue': 1.1, 'period': None, 'smiley': 'EQUAL', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 375.0, 2023: 1310.0, }), 'w': None, 'warmwater': dict({ 2022: 3.1, 2023: 5.800000000000001, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1831.5000000000002, 'w': None, 'warmwater': 514.6, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1685.0, 'w': None, 'warmwater': 8.9, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month3-None] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 62.0, 'month': 4, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 113.0, 'month': 4, 'w': None, 'warmwater': 61.1, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 104.0, 'month': 4, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 53, 'comparedValue': 36.0, 'lastYearValue': 68.0, 'period': None, 'smiley': 'MAD', }), 'warmwater': dict({ 'comparedPercentage': 10, 'comparedValue': 0.1, 'lastYearValue': 1.0, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2023: 1515.0, 2024: 1631.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2023: 3.9, 2024: 4.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 3419.5, 'w': None, 'warmwater': 461.20000000000005, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 3146.0, 'w': None, 'warmwater': 7.9, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month3-select_year0] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 62.0, 'month': 4, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 113.0, 'month': 4, 'w': None, 'warmwater': 61.1, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 104.0, 'month': 4, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 53, 'comparedValue': 36.0, 'lastYearValue': 68.0, 'period': None, 'smiley': 'MAD', }), 'warmwater': dict({ 'comparedPercentage': 10, 'comparedValue': 0.1, 'lastYearValue': 1.0, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2024: 1631.0, }), 'w': None, 'warmwater': dict({ 2024: 4.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1772.8000000000002, 'w': None, 'warmwater': 233.2, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1631.0, 'w': None, 'warmwater': 4.0, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month3-select_year1] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 4, 'unit': None, 'warmwater': None, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 73.9, 'month': 4, 'w': None, 'warmwater': 57.6, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 68.0, 'month': 4, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2023: 1515.0, }), 'w': None, 'warmwater': dict({ 2023: 3.9, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1646.6999999999998, 'w': None, 'warmwater': 227.99999999999997, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1515.0, 'w': None, 'warmwater': 3.9, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month3-select_year2] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': None, 'last_custom_value': None, 'last_value': None, 'last_year_compared_consumption': None, 'sum_by_year': dict({ 'h': None, 'heating': dict({ 2022: 0.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, }), 'water': None, 'ww': None, }), 'total_additional_custom_values': dict({ 'h': None, 'heating': None, 'w': None, 'warmwater': None, 'water': None, 'ww': None, }), 'total_additional_values': dict({ 'h': None, 'heating': None, 'w': None, 'warmwater': None, 'water': None, 'ww': None, }), }) # --- # name: test_consum_raw_filters[True-select_month3-select_year3] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 62.0, 'month': 4, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 113.0, 'month': 4, 'w': None, 'warmwater': 61.1, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 104.0, 'month': 4, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 53, 'comparedValue': 36.0, 'lastYearValue': 68.0, 'period': None, 'smiley': 'MAD', }), 'warmwater': dict({ 'comparedPercentage': 10, 'comparedValue': 0.1, 'lastYearValue': 1.0, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2024: 1631.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2024: 4.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1772.8000000000002, 'w': None, 'warmwater': 233.2, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1631.0, 'w': None, 'warmwater': 4.0, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month3-select_year4] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 62.0, 'month': 4, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 113.0, 'month': 4, 'w': None, 'warmwater': 61.1, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 104.0, 'month': 4, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 53, 'comparedValue': 36.0, 'lastYearValue': 68.0, 'period': None, 'smiley': 'MAD', }), 'warmwater': dict({ 'comparedPercentage': 10, 'comparedValue': 0.1, 'lastYearValue': 1.0, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2023: 1515.0, 2024: 1631.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2023: 3.9, 2024: 4.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 3419.5, 'w': None, 'warmwater': 461.20000000000005, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 3146.0, 'w': None, 'warmwater': 7.9, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month3-select_year5] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 4, 'unit': None, 'warmwater': None, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 73.9, 'month': 4, 'w': None, 'warmwater': 57.6, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 68.0, 'month': 4, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2023: 1515.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2023: 3.9, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1646.6999999999998, 'w': None, 'warmwater': 227.99999999999997, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1515.0, 'w': None, 'warmwater': 3.9, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month4-None] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2023: 1560.0, 2024: 1666.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2023: 4.6, 2024: 5.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 3506.4000000000005, 'w': None, 'warmwater': 557.2, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 3226.0, 'w': None, 'warmwater': 9.6, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month4-select_year0] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2024: 1666.0, }), 'w': None, 'warmwater': dict({ 2024: 5.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1810.8000000000002, 'w': None, 'warmwater': 290.2, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1666.0, 'w': None, 'warmwater': 5.0, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month4-select_year1] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 5, 'unit': None, 'warmwater': None, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 48.9, 'month': 5, 'w': None, 'warmwater': 39.0, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 45.0, 'month': 5, 'w': None, 'warmwater': 0.7, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2023: 1560.0, }), 'w': None, 'warmwater': dict({ 2023: 4.6, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1695.6, 'w': None, 'warmwater': 267.0, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1560.0, 'w': None, 'warmwater': 4.6, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month4-select_year2] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': None, 'last_custom_value': None, 'last_value': None, 'last_year_compared_consumption': None, 'sum_by_year': dict({ 'h': None, 'heating': dict({ 2022: 0.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, }), 'water': None, 'ww': None, }), 'total_additional_custom_values': dict({ 'h': None, 'heating': None, 'w': None, 'warmwater': None, 'water': None, 'ww': None, }), 'total_additional_values': dict({ 'h': None, 'heating': None, 'w': None, 'warmwater': None, 'water': None, 'ww': None, }), }) # --- # name: test_consum_raw_filters[True-select_month4-select_year3] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2024: 1666.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2024: 5.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1810.8000000000002, 'w': None, 'warmwater': 290.2, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1666.0, 'w': None, 'warmwater': 5.0, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month4-select_year4] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2023: 1560.0, 2024: 1666.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2023: 4.6, 2024: 5.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 3506.4000000000005, 'w': None, 'warmwater': 557.2, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 3226.0, 'w': None, 'warmwater': 9.6, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month4-select_year5] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 5, 'unit': None, 'warmwater': None, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 48.9, 'month': 5, 'w': None, 'warmwater': 39.0, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 45.0, 'month': 5, 'w': None, 'warmwater': 0.7, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2023: 1560.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2023: 4.6, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1695.6, 'w': None, 'warmwater': 267.0, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1560.0, 'w': None, 'warmwater': 4.6, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month5-None] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2023: 1560.0, 2024: 1666.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2023: 5.4, 2024: 5.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 3506.4000000000005, 'w': None, 'warmwater': 604.3000000000001, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 3226.0, 'w': None, 'warmwater': 10.4, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month5-select_year0] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2024: 1666.0, }), 'w': None, 'warmwater': dict({ 2024: 5.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1810.8000000000002, 'w': None, 'warmwater': 290.2, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1666.0, 'w': None, 'warmwater': 5.0, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month5-select_year1] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 6, 'unit': None, 'warmwater': None, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 0.0, 'month': 6, 'w': None, 'warmwater': 47.1, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 0.0, 'month': 6, 'w': None, 'warmwater': 0.8, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2023: 1560.0, }), 'w': None, 'warmwater': dict({ 2023: 5.4, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1695.6, 'w': None, 'warmwater': 314.1, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1560.0, 'w': None, 'warmwater': 5.4, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month5-select_year2] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': None, 'last_custom_value': None, 'last_value': None, 'last_year_compared_consumption': None, 'sum_by_year': dict({ 'h': None, 'heating': dict({ 2022: 0.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, }), 'water': None, 'ww': None, }), 'total_additional_custom_values': dict({ 'h': None, 'heating': None, 'w': None, 'warmwater': None, 'water': None, 'ww': None, }), 'total_additional_values': dict({ 'h': None, 'heating': None, 'w': None, 'warmwater': None, 'water': None, 'ww': None, }), }) # --- # name: test_consum_raw_filters[True-select_month5-select_year3] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2024: 1666.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2024: 5.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1810.8000000000002, 'w': None, 'warmwater': 290.2, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1666.0, 'w': None, 'warmwater': 5.0, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month5-select_year4] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2023: 1560.0, 2024: 1666.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2023: 5.4, 2024: 5.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 3506.4000000000005, 'w': None, 'warmwater': 604.3000000000001, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 3226.0, 'w': None, 'warmwater': 10.4, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month5-select_year5] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 6, 'unit': None, 'warmwater': None, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 0.0, 'month': 6, 'w': None, 'warmwater': 47.1, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 0.0, 'month': 6, 'w': None, 'warmwater': 0.8, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 0.0, 2023: 1560.0, }), 'w': None, 'warmwater': dict({ 2022: 0.0, 2023: 5.4, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1695.6, 'w': None, 'warmwater': 314.1, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1560.0, 'w': None, 'warmwater': 5.4, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month6-None] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 2.0, 2023: 1560.0, 2024: 1666.0, }), 'w': None, 'warmwater': dict({ 2022: 0.9, 2023: 6.300000000000001, 2024: 5.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 3508.6000000000004, 'w': None, 'warmwater': 706.0, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 3228.0, 'w': None, 'warmwater': 12.200000000000001, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month6-select_year0] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2024: 1666.0, }), 'w': None, 'warmwater': dict({ 2024: 5.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1810.8000000000002, 'w': None, 'warmwater': 290.2, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1666.0, 'w': None, 'warmwater': 5.0, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month6-select_year1] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 0.0, 'month': 7, 'unit': 'EUR', 'warmwater': 6.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 0.0, 'month': 7, 'w': None, 'warmwater': 52.3, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 0.0, 'month': 7, 'w': None, 'warmwater': 0.9, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 100, 'comparedValue': 2.0, 'lastYearValue': 2.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 0, 'comparedValue': 0.0, 'lastYearValue': 0.9, 'period': None, 'smiley': 'EQUAL', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2023: 1560.0, }), 'w': None, 'warmwater': dict({ 2023: 6.300000000000001, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1695.6, 'w': None, 'warmwater': 366.40000000000003, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1560.0, 'w': None, 'warmwater': 6.300000000000001, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month6-select_year2] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 7, 'unit': None, 'warmwater': None, 'water': None, 'year': 2022, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 2.2, 'month': 7, 'w': None, 'warmwater': 49.4, 'water': None, 'ww': 'kWh', 'year': 2022, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 2.0, 'month': 7, 'w': None, 'warmwater': 0.9, 'water': None, 'ww': 'm³', 'year': 2022, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 2.0, }), 'w': None, 'warmwater': dict({ 2022: 0.9, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 2.2, 'w': None, 'warmwater': 49.4, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 2.0, 'w': None, 'warmwater': 0.9, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month6-select_year3] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 2.0, 2024: 1666.0, }), 'w': None, 'warmwater': dict({ 2022: 0.9, 2024: 5.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1813.0000000000002, 'w': None, 'warmwater': 339.59999999999997, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1668.0, 'w': None, 'warmwater': 5.9, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month6-select_year4] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 2.0, 2023: 1560.0, 2024: 1666.0, }), 'w': None, 'warmwater': dict({ 2022: 0.9, 2023: 6.300000000000001, 2024: 5.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 3508.6000000000004, 'w': None, 'warmwater': 706.0, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 3228.0, 'w': None, 'warmwater': 12.200000000000001, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month6-select_year5] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 0.0, 'month': 7, 'unit': 'EUR', 'warmwater': 6.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 0.0, 'month': 7, 'w': None, 'warmwater': 52.3, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 0.0, 'month': 7, 'w': None, 'warmwater': 0.9, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 100, 'comparedValue': 2.0, 'lastYearValue': 2.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 0, 'comparedValue': 0.0, 'lastYearValue': 0.9, 'period': None, 'smiley': 'EQUAL', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 2.0, 2023: 1560.0, }), 'w': None, 'warmwater': dict({ 2022: 0.9, 2023: 6.300000000000001, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1697.8, 'w': None, 'warmwater': 415.8, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1562.0, 'w': None, 'warmwater': 7.200000000000001, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month7-None] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 2.0, 2023: 1560.0, 2024: 1666.0, }), 'w': None, 'warmwater': dict({ 2022: 1.4, 2023: 6.9, 2024: 5.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 3508.6000000000004, 'w': None, 'warmwater': 767.1, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 3228.0, 'w': None, 'warmwater': 13.3, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month7-select_year0] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2024: 1666.0, }), 'w': None, 'warmwater': dict({ 2024: 5.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1810.8000000000002, 'w': None, 'warmwater': 290.2, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1666.0, 'w': None, 'warmwater': 5.0, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month7-select_year1] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 0.0, 'month': 8, 'unit': 'EUR', 'warmwater': 4.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 0.0, 'month': 8, 'w': None, 'warmwater': 32.6, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 0.0, 'month': 8, 'w': None, 'warmwater': 0.6, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 0, 'comparedValue': 0.0, 'lastYearValue': 0.0, 'period': None, 'smiley': 'EQUAL', }), 'warmwater': dict({ 'comparedPercentage': 20, 'comparedValue': 0.1, 'lastYearValue': 0.5, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2023: 1560.0, }), 'w': None, 'warmwater': dict({ 2023: 6.9, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1695.6, 'w': None, 'warmwater': 399.00000000000006, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1560.0, 'w': None, 'warmwater': 6.9, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month7-select_year2] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 8, 'unit': None, 'warmwater': None, 'water': None, 'year': 2022, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 0.0, 'month': 8, 'w': None, 'warmwater': 28.5, 'water': None, 'ww': 'kWh', 'year': 2022, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 0.0, 'month': 8, 'w': None, 'warmwater': 0.5, 'water': None, 'ww': 'm³', 'year': 2022, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 2.0, }), 'w': None, 'warmwater': dict({ 2022: 1.4, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 2.2, 'w': None, 'warmwater': 77.9, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 2.0, 'w': None, 'warmwater': 1.4, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month7-select_year3] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 2.0, 2024: 1666.0, }), 'w': None, 'warmwater': dict({ 2022: 1.4, 2024: 5.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1813.0000000000002, 'w': None, 'warmwater': 368.09999999999997, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1668.0, 'w': None, 'warmwater': 6.4, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month7-select_year4] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 2.0, 2023: 1560.0, 2024: 1666.0, }), 'w': None, 'warmwater': dict({ 2022: 1.4, 2023: 6.9, 2024: 5.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 3508.6000000000004, 'w': None, 'warmwater': 767.1, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 3228.0, 'w': None, 'warmwater': 13.3, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month7-select_year5] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 0.0, 'month': 8, 'unit': 'EUR', 'warmwater': 4.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 0.0, 'month': 8, 'w': None, 'warmwater': 32.6, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 0.0, 'month': 8, 'w': None, 'warmwater': 0.6, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 0, 'comparedValue': 0.0, 'lastYearValue': 0.0, 'period': None, 'smiley': 'EQUAL', }), 'warmwater': dict({ 'comparedPercentage': 20, 'comparedValue': 0.1, 'lastYearValue': 0.5, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 2.0, 2023: 1560.0, }), 'w': None, 'warmwater': dict({ 2022: 1.4, 2023: 6.9, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1697.8, 'w': None, 'warmwater': 476.90000000000003, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1562.0, 'w': None, 'warmwater': 8.3, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month8-None] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 10.0, 2023: 1583.0, 2024: 1666.0, }), 'w': None, 'warmwater': dict({ 2022: 2.5, 2023: 7.9, 2024: 5.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 3542.3, 'w': None, 'warmwater': 893.3000000000001, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 3259.0, 'w': None, 'warmwater': 15.4, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month8-select_year0] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2024: 1666.0, }), 'w': None, 'warmwater': dict({ 2024: 5.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1810.8000000000002, 'w': None, 'warmwater': 290.2, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1666.0, 'w': None, 'warmwater': 5.0, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month8-select_year1] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 14.0, 'month': 9, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 25.0, 'month': 9, 'w': None, 'warmwater': 60.5, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 23.0, 'month': 9, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 188, 'comparedValue': 15.0, 'lastYearValue': 8.0, 'period': None, 'smiley': 'MAD', }), 'warmwater': dict({ 'comparedPercentage': 9, 'comparedValue': 0.1, 'lastYearValue': 1.1, 'period': None, 'smiley': 'HAPPY', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2023: 1583.0, }), 'w': None, 'warmwater': dict({ 2023: 7.9, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1720.6, 'w': None, 'warmwater': 459.5, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1583.0, 'w': None, 'warmwater': 7.9, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month8-select_year2] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 9, 'unit': None, 'warmwater': None, 'water': None, 'year': 2022, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 8.7, 'month': 9, 'w': None, 'warmwater': 65.7, 'water': None, 'ww': 'kWh', 'year': 2022, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 8.0, 'month': 9, 'w': None, 'warmwater': 1.1, 'water': None, 'ww': 'm³', 'year': 2022, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 10.0, }), 'w': None, 'warmwater': dict({ 2022: 2.5, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 10.899999999999999, 'w': None, 'warmwater': 143.6, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 10.0, 'w': None, 'warmwater': 2.5, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month8-select_year3] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 10.0, 2024: 1666.0, }), 'w': None, 'warmwater': dict({ 2022: 2.5, 2024: 5.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1821.7000000000003, 'w': None, 'warmwater': 433.79999999999995, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1676.0, 'w': None, 'warmwater': 7.5, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month8-select_year4] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 10.0, 2023: 1583.0, 2024: 1666.0, }), 'w': None, 'warmwater': dict({ 2022: 2.5, 2023: 7.9, 2024: 5.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 3542.3, 'w': None, 'warmwater': 893.3000000000001, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 3259.0, 'w': None, 'warmwater': 15.4, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month8-select_year5] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 14.0, 'month': 9, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 25.0, 'month': 9, 'w': None, 'warmwater': 60.5, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 23.0, 'month': 9, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 188, 'comparedValue': 15.0, 'lastYearValue': 8.0, 'period': None, 'smiley': 'MAD', }), 'warmwater': dict({ 'comparedPercentage': 9, 'comparedValue': 0.1, 'lastYearValue': 1.1, 'period': None, 'smiley': 'HAPPY', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 10.0, 2023: 1583.0, }), 'w': None, 'warmwater': dict({ 2022: 2.5, 2023: 7.9, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1731.5, 'w': None, 'warmwater': 603.1, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1593.0, 'w': None, 'warmwater': 10.4, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month9-None] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 189.0, 2023: 1706.0, 2024: 1666.0, }), 'w': None, 'warmwater': dict({ 2022: 3.6999999999999997, 2023: 9.3, 2024: 5.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 3870.6, 'w': None, 'warmwater': 1043.9, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 3561.0, 'w': None, 'warmwater': 18.0, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month9-select_year0] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2024: 1666.0, }), 'w': None, 'warmwater': dict({ 2024: 5.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1810.8000000000002, 'w': None, 'warmwater': 290.2, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1666.0, 'w': None, 'warmwater': 5.0, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month9-select_year1] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 73.0, 'month': 10, 'unit': 'EUR', 'warmwater': 9.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 133.7, 'month': 10, 'w': None, 'warmwater': 78.5, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 123.0, 'month': 10, 'w': None, 'warmwater': 1.4, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 31, 'comparedValue': 56.0, 'lastYearValue': 179.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 17, 'comparedValue': 0.2, 'lastYearValue': 1.2, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2023: 1706.0, }), 'w': None, 'warmwater': dict({ 2023: 9.3, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 1854.3, 'w': None, 'warmwater': 538.0, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1706.0, 'w': None, 'warmwater': 9.3, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month9-select_year2] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': None, 'month': 10, 'unit': None, 'warmwater': None, 'water': None, 'year': 2022, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 194.6, 'month': 10, 'w': None, 'warmwater': 72.1, 'water': None, 'ww': 'kWh', 'year': 2022, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 179.0, 'month': 10, 'w': None, 'warmwater': 1.2, 'water': None, 'ww': 'm³', 'year': 2022, }), 'last_year_compared_consumption': dict({ }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 189.0, }), 'w': None, 'warmwater': dict({ 2022: 3.6999999999999997, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 205.49999999999997, 'w': None, 'warmwater': 215.70000000000002, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 189.0, 'w': None, 'warmwater': 3.6999999999999997, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month9-select_year3] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 189.0, 2024: 1666.0, }), 'w': None, 'warmwater': dict({ 2022: 3.6999999999999997, 2024: 5.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 2016.3000000000002, 'w': None, 'warmwater': 505.8999999999999, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1855.0, 'w': None, 'warmwater': 8.700000000000001, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month9-select_year4] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 21.0, 'month': 5, 'unit': 'EUR', 'warmwater': 7.0, 'water': None, 'year': 2024, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 38.0, 'month': 5, 'w': None, 'warmwater': 57.0, 'water': None, 'ww': 'kWh', 'year': 2024, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 35.0, 'month': 5, 'w': None, 'warmwater': 1.0, 'water': None, 'ww': 'm³', 'year': 2024, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 22, 'comparedValue': 10.0, 'lastYearValue': 45.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 43, 'comparedValue': 0.3, 'lastYearValue': 0.7, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 189.0, 2023: 1706.0, 2024: 1666.0, }), 'w': None, 'warmwater': dict({ 2022: 3.6999999999999997, 2023: 9.3, 2024: 5.0, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 3870.6, 'w': None, 'warmwater': 1043.9, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 3561.0, 'w': None, 'warmwater': 18.0, 'water': None, 'ww': 'm³', }), }) # --- # name: test_consum_raw_filters[True-select_month9-select_year5] dict({ 'all_dates': None, 'combined_data': None, 'last_costs': dict({ 'heating': 73.0, 'month': 10, 'unit': 'EUR', 'warmwater': 9.0, 'water': None, 'year': 2023, }), 'last_custom_value': dict({ 'h': 'kWh', 'heating': 133.7, 'month': 10, 'w': None, 'warmwater': 78.5, 'water': None, 'ww': 'kWh', 'year': 2023, }), 'last_value': dict({ 'h': 'Einheiten', 'heating': 123.0, 'month': 10, 'w': None, 'warmwater': 1.4, 'water': None, 'ww': 'm³', 'year': 2023, }), 'last_year_compared_consumption': dict({ 'heating': dict({ 'comparedPercentage': 31, 'comparedValue': 56.0, 'lastYearValue': 179.0, 'period': None, 'smiley': 'HAPPY', }), 'warmwater': dict({ 'comparedPercentage': 17, 'comparedValue': 0.2, 'lastYearValue': 1.2, 'period': None, 'smiley': 'MAD', }), }), 'sum_by_year': dict({ 'h': 'Einheiten', 'heating': dict({ 2022: 189.0, 2023: 1706.0, }), 'w': None, 'warmwater': dict({ 2022: 3.6999999999999997, 2023: 9.3, }), 'water': None, 'ww': 'm³', }), 'total_additional_custom_values': dict({ 'h': 'kWh', 'heating': 2059.7999999999997, 'w': None, 'warmwater': 753.7, 'water': None, 'ww': 'kWh', }), 'total_additional_values': dict({ 'h': 'Einheiten', 'heating': 1895.0, 'w': None, 'warmwater': 13.0, 'water': None, 'ww': 'm³', }), }) # --- # name: test_get_comsumption_data dict({ 'co2Emissions': None, 'co2EmissionsBillingPeriods': None, 'consumptionUnitId': '26e93f1a-c828-11ea-87d0-0242ac130003', 'consumptions': list([ dict({ 'date': dict({ 'month': 5, 'year': 2024, }), 'documentNumber': None, 'exception': None, 'isSCEedBasic': True, 'readings': list([ dict({ 'additionalUnit': 'kWh', 'additionalValue': None, 'averageConsumption': None, 'comparedConsumption': None, 'comparedCost': None, 'estimated': False, 'type': None, 'unit': None, 'value': None, }), dict({ 'additionalUnit': 'kWh', 'additionalValue': '38,0', 'averageConsumption': dict({ 'additionalAverageConsumptionPercentage': 72, 'additionalAverageConsumptionValue': '27,2', 'additionalResidentConsumptionPercentage': 100, 'additionalResidentConsumptionValue': '38,0', 'averageConsumptionPercentage': 71, 'averageConsumptionValue': '25', 'residentConsumptionPercentage': 100, 'residentConsumptionValue': '35', }), 'comparedConsumption': dict({ 'comparedPercentage': 22, 'comparedValue': '10', 'lastYearValue': 45.0, 'period': dict({ 'month': 5, 'year': 2023, }), 'smiley': 'HAPPY', }), 'comparedCost': None, 'estimated': False, 'type': 'heating', 'unit': 'Einheiten', 'value': '35', }), dict({ 'additionalUnit': 'kWh', 'additionalValue': '57,0', 'averageConsumption': dict({ 'additionalAverageConsumptionPercentage': 80, 'additionalAverageConsumptionValue': '45,6', 'additionalResidentConsumptionPercentage': 100, 'additionalResidentConsumptionValue': '57,0', 'averageConsumptionPercentage': 80, 'averageConsumptionValue': '0,8', 'residentConsumptionPercentage': 100, 'residentConsumptionValue': '1,0', }), 'comparedConsumption': dict({ 'comparedPercentage': 43, 'comparedValue': '0,3', 'lastYearValue': 0.7, 'period': dict({ 'month': 5, 'year': 2023, }), 'smiley': 'MAD', }), 'comparedCost': None, 'estimated': False, 'type': 'warmwater', 'unit': 'm³', 'value': '1,0', }), dict({ 'additionalUnit': 'kWh', 'additionalValue': None, 'averageConsumption': None, 'comparedConsumption': None, 'comparedCost': None, 'estimated': False, 'type': None, 'unit': None, 'value': None, }), dict({ 'additionalUnit': 'kWh', 'additionalValue': None, 'averageConsumption': None, 'comparedConsumption': None, 'comparedCost': None, 'estimated': False, 'type': None, 'unit': None, 'value': None, }), ]), }), dict({ 'date': dict({ 'month': 4, 'year': 2024, }), 'documentNumber': None, 'exception': None, 'isSCEedBasic': True, 'readings': list([ dict({ 'additionalUnit': 'kWh', 'additionalValue': None, 'averageConsumption': None, 'comparedConsumption': None, 'comparedCost': None, 'estimated': False, 'type': None, 'unit': None, 'value': None, }), dict({ 'additionalUnit': 'kWh', 'additionalValue': '113,0', 'averageConsumption': dict({ 'additionalAverageConsumptionPercentage': 96, 'additionalAverageConsumptionValue': '108,7', 'additionalResidentConsumptionPercentage': 100, 'additionalResidentConsumptionValue': '113,0', 'averageConsumptionPercentage': 96, 'averageConsumptionValue': '100', 'residentConsumptionPercentage': 100, 'residentConsumptionValue': '104', }), 'comparedConsumption': dict({ 'comparedPercentage': 53, 'comparedValue': '36', 'lastYearValue': 68.0, 'period': dict({ 'month': 4, 'year': 2023, }), 'smiley': 'MAD', }), 'comparedCost': None, 'estimated': False, 'type': 'heating', 'unit': 'Einheiten', 'value': '104', }), dict({ 'additionalUnit': 'kWh', 'additionalValue': '61,1', 'averageConsumption': dict({ 'additionalAverageConsumptionPercentage': 80, 'additionalAverageConsumptionValue': '48,8', 'additionalResidentConsumptionPercentage': 100, 'additionalResidentConsumptionValue': '61,1', 'averageConsumptionPercentage': 73, 'averageConsumptionValue': 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'month': 4, 'year': 2023, }), 'smiley': 'MAD', }), 'estimated': False, 'type': 'heating', 'unit': 'EUR', 'value': 62, }), dict({ 'comparedCost': dict({ 'comparedPercentage': 0, 'comparedValue': '0', 'lastYearValue': 6.9, 'period': dict({ 'month': 4, 'year': 2023, }), 'smiley': 'EQUAL', }), 'estimated': False, 'type': 'warmwater', 'unit': 'EUR', 'value': 7, }), dict({ 'comparedCost': None, 'estimated': False, 'type': None, 'unit': None, 'value': None, }), ]), 'date': dict({ 'month': 4, 'year': 2024, }), 'exception': None, 'isSCEedBasic': True, }), dict({ 'costsByEnergyType': list([ dict({ 'comparedCost': dict({ 'comparedPercentage': 36, 'comparedValue': '63', 'lastYearValue': 176.9, 'period': dict({ 'month': 3, 'year': 2023, }), 'smiley': 'MAD', }), 'estimated': False, 'type': 'heating', 'unit': 'EUR', 'value': 240, }), dict({ 'comparedCost': dict({ 'comparedPercentage': 8, 'comparedValue': '1', 'lastYearValue': 7.3, 'period': dict({ 'month': 3, 'year': 2023, }), 'smiley': 'MAD', }), 'estimated': False, 'type': 'warmwater', 'unit': 'EUR', 'value': 8, }), dict({ 'comparedCost': None, 'estimated': False, 'type': None, 'unit': None, 'value': None, }), ]), 'date': dict({ 'month': 3, 'year': 2024, }), 'exception': None, 'isSCEedBasic': True, }), dict({ 'costsByEnergyType': list([ dict({ 'comparedCost': dict({ 'comparedPercentage': 6, 'comparedValue': '20', 'lastYearValue': 325.5, 'period': dict({ 'month': 2, 'year': 2023, }), 'smiley': 'HAPPY', }), 'estimated': False, 'type': 'heating', 'unit': 'EUR', 'value': 306, }), dict({ 'comparedCost': dict({ 'comparedPercentage': 0, 'comparedValue': '0', 'lastYearValue': 5.8, 'period': dict({ 'month': 2, 'year': 2023, }), 'smiley': 'EQUAL', }), 'estimated': False, 'type': 'warmwater', 'unit': 'EUR', 'value': 6, }), dict({ 'comparedCost': None, 'estimated': False, 'type': None, 'unit': None, 'value': None, }), ]), 'date': dict({ 'month': 2, 'year': 2024, }), 'exception': None, 'isSCEedBasic': True, }), dict({ 'costsByEnergyType': list([ dict({ 'comparedCost': dict({ 'comparedPercentage': 1, 'comparedValue': '4', 'lastYearValue': 353.9, 'period': dict({ 'month': 1, 'year': 2023, }), 'smiley': 'MAD', }), 'estimated': False, 'type': 'heating', 'unit': 'EUR', 'value': 358, }), dict({ 'comparedCost': dict({ 'comparedPercentage': 0, 'comparedValue': '0', 'lastYearValue': 7.4, 'period': dict({ 'month': 1, 'year': 2023, }), 'smiley': 'EQUAL', }), 'estimated': False, 'type': 'warmwater', 'unit': 'EUR', 'value': 7, }), dict({ 'comparedCost': None, 'estimated': False, 'type': None, 'unit': None, 'value': None, }), ]), 'date': dict({ 'month': 1, 'year': 2024, }), 'exception': None, 'isSCEedBasic': True, }), dict({ 'costsByEnergyType': list([ dict({ 'comparedCost': dict({ 'comparedPercentage': 8, 'comparedValue': '27', 'lastYearValue': 316.0, 'period': dict({ 'month': 12, 'year': 2022, }), 'smiley': 'HAPPY', }), 'estimated': False, 'type': 'heating', 'unit': 'EUR', 'value': 289, }), dict({ 'comparedCost': dict({ 'comparedPercentage': 10, 'comparedValue': '1', 'lastYearValue': 6.9, 'period': dict({ 'month': 12, 'year': 2022, }), 'smiley': 'MAD', }), 'estimated': False, 'type': 'warmwater', 'unit': 'EUR', 'value': 8, }), dict({ 'comparedCost': None, 'estimated': False, 'type': None, 'unit': None, 'value': None, }), ]), 'date': dict({ 'month': 12, 'year': 2023, }), 'exception': None, 'isSCEedBasic': True, }), dict({ 'costsByEnergyType': list([ dict({ 'comparedCost': dict({ 'comparedPercentage': 6, 'comparedValue': '12', 'lastYearValue': 216.0, 'period': dict({ 'month': 11, 'year': 2022, }), 'smiley': 'HAPPY', }), 'estimated': False, 'type': 'heating', 'unit': 'EUR', 'value': 204, }), dict({ 'comparedCost': dict({ 'comparedPercentage': 5, 'comparedValue': '1', 'lastYearValue': 7.4, 'period': dict({ 'month': 11, 'year': 2022, }), 'smiley': 'MAD', }), 'estimated': False, 'type': 'warmwater', 'unit': 'EUR', 'value': 8, }), dict({ 'comparedCost': None, 'estimated': False, 'type': None, 'unit': None, 'value': None, }), ]), 'date': dict({ 'month': 11, 'year': 2023, }), 'exception': None, 'isSCEedBasic': True, }), dict({ 'costsByEnergyType': list([ dict({ 'comparedCost': dict({ 'comparedPercentage': 31, 'comparedValue': '33', 'lastYearValue': 105.9, 'period': dict({ 'month': 10, 'year': 2022, }), 'smiley': 'HAPPY', }), 'estimated': False, 'type': 'heating', 'unit': 'EUR', 'value': 73, }), dict({ 'comparedCost': dict({ 'comparedPercentage': 9, 'comparedValue': '1', 'lastYearValue': 8.7, 'period': dict({ 'month': 10, 'year': 2022, }), 'smiley': 'MAD', }), 'estimated': False, 'type': 'warmwater', 'unit': 'EUR', 'value': 9, }), dict({ 'comparedCost': None, 'estimated': False, 'type': None, 'unit': None, 'value': None, }), ]), 'date': dict({ 'month': 10, 'year': 2023, }), 'exception': None, 'isSCEedBasic': True, }), dict({ 'costsByEnergyType': list([ dict({ 'comparedCost': dict({ 'comparedPercentage': 189, 'comparedValue': '9', 'lastYearValue': 4.7, 'period': dict({ 'month': 9, 'year': 2022, }), 'smiley': 'MAD', }), 'estimated': False, 'type': 'heating', 'unit': 'EUR', 'value': 14, }), dict({ 'comparedCost': dict({ 'comparedPercentage': 8, 'comparedValue': '1', 'lastYearValue': 7.9, 'period': dict({ 'month': 9, 'year': 2022, }), 'smiley': 'HAPPY', }), 'estimated': False, 'type': 'warmwater', 'unit': 'EUR', 'value': 7, }), dict({ 'comparedCost': None, 'estimated': False, 'type': None, 'unit': None, 'value': None, }), ]), 'date': dict({ 'month': 9, 'year': 2023, }), 'exception': None, 'isSCEedBasic': True, }), dict({ 'costsByEnergyType': list([ dict({ 'comparedCost': dict({ 'comparedPercentage': 0, 'comparedValue': '0', 'lastYearValue': 0.0, 'period': dict({ 'month': 8, 'year': 2022, }), 'smiley': 'EQUAL', }), 'estimated': False, 'type': 'heating', 'unit': 'EUR', 'value': 0, }), dict({ 'comparedCost': dict({ 'comparedPercentage': 15, 'comparedValue': '1', 'lastYearValue': 3.4, 'period': dict({ 'month': 8, 'year': 2022, }), 'smiley': 'MAD', }), 'estimated': False, 'type': 'warmwater', 'unit': 'EUR', 'value': 4, }), dict({ 'comparedCost': None, 'estimated': False, 'type': None, 'unit': None, 'value': None, }), ]), 'date': dict({ 'month': 8, 'year': 2023, }), 'exception': None, 'isSCEedBasic': True, }), dict({ 'costsByEnergyType': list([ dict({ 'comparedCost': dict({ 'comparedPercentage': 100, 'comparedValue': '1', 'lastYearValue': 1.2, 'period': dict({ 'month': 7, 'year': 2022, }), 'smiley': 'HAPPY', }), 'estimated': False, 'type': 'heating', 'unit': 'EUR', 'value': 0, }), dict({ 'comparedCost': dict({ 'comparedPercentage': 0, 'comparedValue': '0', 'lastYearValue': 6.0, 'period': dict({ 'month': 7, 'year': 2022, }), 'smiley': 'EQUAL', }), 'estimated': False, 'type': 'warmwater', 'unit': 'EUR', 'value': 6, }), dict({ 'comparedCost': None, 'estimated': False, 'type': None, 'unit': None, 'value': None, }), ]), 'date': dict({ 'month': 7, 'year': 2023, }), 'exception': None, 'isSCEedBasic': True, }), dict({ 'costsByEnergyType': list([ dict({ 'comparedCost': None, 'estimated': False, 'type': 'heating', 'unit': 'EUR', 'value': 0, }), dict({ 'comparedCost': None, 'estimated': False, 'type': 'warmwater', 'unit': 'EUR', 'value': 6, }), dict({ 'comparedCost': None, 'estimated': False, 'type': None, 'unit': None, 'value': None, }), ]), 'date': dict({ 'month': 6, 'year': 2023, }), 'exception': None, 'isSCEedBasic': True, }), dict({ 'costsByEnergyType': list([ dict({ 'comparedCost': None, 'estimated': False, 'type': 'heating', 'unit': 'EUR', 'value': 27, }), dict({ 'comparedCost': None, 'estimated': False, 'type': 'warmwater', 'unit': 'EUR', 'value': 5, }), dict({ 'comparedCost': None, 'estimated': False, 'type': None, 'unit': None, 'value': None, }), ]), 'date': dict({ 'month': 5, 'year': 2023, }), 'exception': None, 'isSCEedBasic': True, }), dict({ 'costsByEnergyType': list([ dict({ 'comparedCost': None, 'estimated': False, 'type': 'heating', 'unit': 'EUR', 'value': 40, }), dict({ 'comparedCost': None, 'estimated': False, 'type': 'warmwater', 'unit': 'EUR', 'value': 7, }), dict({ 'comparedCost': None, 'estimated': False, 'type': None, 'unit': None, 'value': None, }), ]), 'date': dict({ 'month': 4, 'year': 2023, }), 'exception': None, 'isSCEedBasic': True, }), dict({ 'costsByEnergyType': list([ dict({ 'comparedCost': None, 'estimated': False, 'type': 'heating', 'unit': 'EUR', 'value': 177, }), dict({ 'comparedCost': None, 'estimated': False, 'type': 'warmwater', 'unit': 'EUR', 'value': 7, }), dict({ 'comparedCost': None, 'estimated': False, 'type': None, 'unit': None, 'value': None, }), ]), 'date': dict({ 'month': 3, 'year': 2023, }), 'exception': None, 'isSCEedBasic': True, }), dict({ 'costsByEnergyType': list([ dict({ 'comparedCost': None, 'estimated': False, 'type': 'heating', 'unit': 'EUR', 'value': 326, }), dict({ 'comparedCost': None, 'estimated': False, 'type': 'warmwater', 'unit': 'EUR', 'value': 6, }), dict({ 'comparedCost': None, 'estimated': False, 'type': None, 'unit': None, 'value': None, }), ]), 'date': dict({ 'month': 2, 'year': 2023, }), 'exception': None, 'isSCEedBasic': True, }), dict({ 'costsByEnergyType': list([ dict({ 'comparedCost': None, 'estimated': False, 'type': 'heating', 'unit': 'EUR', 'value': 354, }), dict({ 'comparedCost': None, 'estimated': False, 'type': 'warmwater', 'unit': 'EUR', 'value': 7, }), dict({ 'comparedCost': None, 'estimated': False, 'type': None, 'unit': None, 'value': None, }), ]), 'date': dict({ 'month': 1, 'year': 2023, }), 'exception': None, 'isSCEedBasic': True, }), dict({ 'costsByEnergyType': list([ dict({ 'comparedCost': None, 'estimated': False, 'type': 'heating', 'unit': 'EUR', 'value': 316, }), dict({ 'comparedCost': None, 'estimated': False, 'type': 'warmwater', 'unit': 'EUR', 'value': 7, }), dict({ 'comparedCost': None, 'estimated': False, 'type': None, 'unit': None, 'value': None, }), ]), 'date': dict({ 'month': 12, 'year': 2022, }), 'exception': None, 'isSCEedBasic': True, }), dict({ 'costsByEnergyType': list([ dict({ 'comparedCost': None, 'estimated': False, 'type': 'heating', 'unit': 'EUR', 'value': 216, }), dict({ 'comparedCost': None, 'estimated': False, 'type': 'warmwater', 'unit': 'EUR', 'value': 7, }), dict({ 'comparedCost': None, 'estimated': False, 'type': None, 'unit': None, 'value': None, }), ]), 'date': dict({ 'month': 11, 'year': 2022, }), 'exception': None, 'isSCEedBasic': True, }), dict({ 'costsByEnergyType': list([ dict({ 'comparedCost': None, 'estimated': False, 'type': 'heating', 'unit': 'EUR', 'value': 106, }), dict({ 'comparedCost': None, 'estimated': False, 'type': 'warmwater', 'unit': 'EUR', 'value': 9, }), dict({ 'comparedCost': None, 'estimated': False, 'type': None, 'unit': None, 'value': None, }), ]), 'date': dict({ 'month': 10, 'year': 2022, }), 'exception': None, 'isSCEedBasic': True, }), dict({ 'costsByEnergyType': list([ dict({ 'comparedCost': None, 'estimated': False, 'type': 'heating', 'unit': 'EUR', 'value': 5, }), dict({ 'comparedCost': None, 'estimated': False, 'type': 'warmwater', 'unit': 'EUR', 'value': 8, }), dict({ 'comparedCost': None, 'estimated': False, 'type': None, 'unit': None, 'value': None, }), ]), 'date': dict({ 'month': 9, 'year': 2022, }), 'exception': None, 'isSCEedBasic': True, }), dict({ 'costsByEnergyType': list([ dict({ 'comparedCost': None, 'estimated': False, 'type': 'heating', 'unit': 'EUR', 'value': 0, }), dict({ 'comparedCost': None, 'estimated': False, 'type': 'warmwater', 'unit': 'EUR', 'value': 3, }), dict({ 'comparedCost': None, 'estimated': False, 'type': None, 'unit': None, 'value': None, }), ]), 'date': dict({ 'month': 8, 'year': 2022, }), 'exception': None, 'isSCEedBasic': True, }), dict({ 'costsByEnergyType': list([ dict({ 'comparedCost': None, 'estimated': False, 'type': 'heating', 'unit': 'EUR', 'value': 1, }), dict({ 'comparedCost': None, 'estimated': False, 'type': 'warmwater', 'unit': 'EUR', 'value': 6, }), dict({ 'comparedCost': None, 'estimated': False, 'type': None, 'unit': None, 'value': None, }), ]), 'date': dict({ 'month': 7, 'year': 2022, }), 'exception': None, 'isSCEedBasic': True, }), ]), 'costsBillingPeriods': dict({ 'currentBillingPeriod': dict({ 'exception': None, 'readings': list([ dict({ 'additionalUnit': 'kWh', 'additionalValue': None, 'averageConsumption': None, 'comparedConsumption': None, 'comparedCost': dict({ 'comparedPercentage': 0, 'comparedValue': '1', 'lastYearValue': 1568.0, 'period': None, 'smiley': 'HAPPY', }), 'estimated': False, 'type': 'heating', 'unit': 'EUR', 'value': '1567', }), dict({ 'additionalUnit': 'kWh', 'additionalValue': None, 'averageConsumption': None, 'comparedConsumption': None, 'comparedCost': dict({ 'comparedPercentage': 7, 'comparedValue': '5', 'lastYearValue': 72.0, 'period': None, 'smiley': 'MAD', }), 'estimated': False, 'type': 'warmwater', 'unit': 'EUR', 'value': '77', }), dict({ 'additionalUnit': 'kWh', 'additionalValue': None, 'averageConsumption': None, 'comparedConsumption': None, 'comparedCost': None, 'estimated': False, 'type': None, 'unit': None, 'value': None, }), ]), 'timeRange': dict({ 'end': dict({ 'month': 5, 'year': 2024, }), 'start': dict({ 'month': 7, 'year': 2023, }), }), }), 'previousBillingPeriod': dict({ 'readings': list([ dict({ 'additionalUnit': 'kWh', 'additionalValue': None, 'averageConsumption': None, 'comparedConsumption': None, 'comparedCost': None, 'estimated': False, 'type': 'heating', 'unit': 'EUR', 'value': '1568', }), dict({ 'additionalUnit': 'kWh', 'additionalValue': None, 'averageConsumption': None, 'comparedConsumption': None, 'comparedCost': None, 'estimated': False, 'type': 'warmwater', 'unit': 'EUR', 'value': '72', }), dict({ 'additionalUnit': 'kWh', 'additionalValue': None, 'averageConsumption': None, 'comparedConsumption': None, 'comparedCost': None, 'estimated': False, 'type': None, 'unit': None, 'value': None, }), ]), 'timeRange': dict({ 'end': dict({ 'month': 5, 'year': 2023, }), 'start': dict({ 'month': 7, 'year': 2022, }), }), }), }), 'isSCEedBasicForCurrentMonth': True, 'nonEEDBasicStartDate': None, 'resident': dict({ 'invalid': False, 'invalidDate': None, 'moveOutDate': None, 'movedOut': False, }), }) # --- # name: test_get_raw dict({ 'co2Emissions': None, 'co2EmissionsBillingPeriods': None, 'consumptionUnitId': '26e93f1a-c828-11ea-87d0-0242ac130003', 'consumptions': list([ dict({ 'date': dict({ 'month': 5, 'year': 2024, }), 'documentNumber': None, 'exception': None, 'isSCEedBasic': True, 'readings': list([ dict({ 'additionalUnit': 'kWh', 'additionalValue': None, 'averageConsumption': None, 'comparedConsumption': None, 'comparedCost': None, 'estimated': False, 'type': None, 'unit': None, 'value': None, }), dict({ 'additionalUnit': 'kWh', 'additionalValue': '38,0', 'averageConsumption': dict({ 'additionalAverageConsumptionPercentage': 72, 'additionalAverageConsumptionValue': '27,2', 'additionalResidentConsumptionPercentage': 100, 'additionalResidentConsumptionValue': '38,0', 'averageConsumptionPercentage': 71, 'averageConsumptionValue': '25', 'residentConsumptionPercentage': 100, 'residentConsumptionValue': '35', }), 'comparedConsumption': dict({ 'comparedPercentage': 22, 'comparedValue': '10', 'lastYearValue': 45.0, 'period': dict({ 'month': 5, 'year': 2023, }), 'smiley': 'HAPPY', }), 'comparedCost': None, 'estimated': False, 'type': 'heating', 'unit': 'Einheiten', 'value': '35', }), dict({ 'additionalUnit': 'kWh', 'additionalValue': '57,0', 'averageConsumption': dict({ 'additionalAverageConsumptionPercentage': 80, 'additionalAverageConsumptionValue': '45,6', 'additionalResidentConsumptionPercentage': 100, 'additionalResidentConsumptionValue': '57,0', 'averageConsumptionPercentage': 80, 'averageConsumptionValue': '0,8', 'residentConsumptionPercentage': 100, 'residentConsumptionValue': '1,0', }), 'comparedConsumption': dict({ 'comparedPercentage': 43, 'comparedValue': '0,3', 'lastYearValue': 0.7, 'period': dict({ 'month': 5, 'year': 2023, }), 'smiley': 'MAD', }), 'comparedCost': None, 'estimated': False, 'type': 'warmwater', 'unit': 'm³', 'value': '1,0', }), dict({ 'additionalUnit': 'kWh', 'additionalValue': None, 'averageConsumption': None, 'comparedConsumption': None, 'comparedCost': None, 'estimated': False, 'type': None, 'unit': None, 'value': None, }), dict({ 'additionalUnit': 'kWh', 'additionalValue': None, 'averageConsumption': None, 'comparedConsumption': None, 'comparedCost': None, 'estimated': False, 'type': None, 'unit': None, 'value': None, }), ]), }), dict({ 'date': dict({ 'month': 4, 'year': 2024, }), 'documentNumber': None, 'exception': None, 'isSCEedBasic': True, 'readings': list([ dict({ 'additionalUnit': 'kWh', 'additionalValue': None, 'averageConsumption': None, 'comparedConsumption': None, 'comparedCost': None, 'estimated': False, 'type': None, 'unit': None, 'value': None, }), dict({ 'additionalUnit': 'kWh', 'additionalValue': '113,0', 'averageConsumption': dict({ 'additionalAverageConsumptionPercentage': 96, 'additionalAverageConsumptionValue': '108,7', 'additionalResidentConsumptionPercentage': 100, 'additionalResidentConsumptionValue': '113,0', 'averageConsumptionPercentage': 96, 'averageConsumptionValue': '100', 'residentConsumptionPercentage': 100, 'residentConsumptionValue': '104', }), 'comparedConsumption': dict({ 'comparedPercentage': 53, 'comparedValue': '36', 'lastYearValue': 68.0, 'period': dict({ 'month': 4, 'year': 2023, }), 'smiley': 'MAD', }), 'comparedCost': None, 'estimated': False, 'type': 'heating', 'unit': 'Einheiten', 'value': '104', }), dict({ 'additionalUnit': 'kWh', 'additionalValue': '61,1', 'averageConsumption': dict({ 'additionalAverageConsumptionPercentage': 80, 'additionalAverageConsumptionValue': '48,8', 'additionalResidentConsumptionPercentage': 100, 'additionalResidentConsumptionValue': '61,1', 'averageConsumptionPercentage': 73, 'averageConsumptionValue': '0,8', 'residentConsumptionPercentage': 100, 'residentConsumptionValue': '1,1', }), 'comparedConsumption': dict({ 'comparedPercentage': 10, 'comparedValue': '0,1', 'lastYearValue': 1.0, 'period': dict({ 'month': 4, 'year': 2023, }), 'smiley': 'MAD', }), 'comparedCost': None, 'estimated': False, 'type': 'warmwater', 'unit': 'm³', 'value': '1,1', }), dict({ 'additionalUnit': 'kWh', 'additionalValue': None, 'averageConsumption': None, 'comparedConsumption': None, 'comparedCost': None, 'estimated': False, 'type': None, 'unit': None, 'value': None, }), dict({ 'additionalUnit': 'kWh', 'additionalValue': None, 'averageConsumption': None, 'comparedConsumption': None, 'comparedCost': None, 'estimated': False, 'type': None, 'unit': None, 'value': None, }), ]), }), dict({ 'date': dict({ 'month': 3, 'year': 2024, }), 'documentNumber': None, 'exception': None, 'isSCEedBasic': True, 'readings': list([ dict({ 'additionalUnit': 'kWh', 'additionalValue': None, 'averageConsumption': None, 'comparedConsumption': None, 'comparedCost': None, 'estimated': False, 'type': None, 'unit': None, 'value': None, }), dict({ 'additionalUnit': 'kWh', 'additionalValue': '440,2', 'averageConsumption': dict({ 'additionalAverageConsumptionPercentage': 100, 'additionalAverageConsumptionValue': '476,1', 'additionalResidentConsumptionPercentage': 92, 'additionalResidentConsumptionValue': '440,2', 'averageConsumptionPercentage': 100, 'averageConsumptionValue': '438', 'residentConsumptionPercentage': 92, 'residentConsumptionValue': '405', }), 'comparedConsumption': dict({ 'comparedPercentage': 35, 'comparedValue': '106', 'lastYearValue': 299.0, 'period': dict({ 'month': 3, 'year': 2023, }), 'smiley': 'MAD', }), 'comparedCost': None, 'estimated': False, 'type': 'heating', 'unit': 'Einheiten', 'value': '405', }), dict({ 'additionalUnit': 'kWh', 'additionalValue': '65,7', 'averageConsumption': dict({ 'additionalAverageConsumptionPercentage': 80, 'additionalAverageConsumptionValue': '52,6', 'additionalResidentConsumptionPercentage': 100, 'additionalResidentConsumptionValue': '65,7', 'averageConsumptionPercentage': 82, 'averageConsumptionValue': '0,9', 'residentConsumptionPercentage': 100, 'residentConsumptionValue': '1,1', }), 'comparedConsumption': dict({ 'comparedPercentage': 10, 'comparedValue': '0,1', 'lastYearValue': 1.0, 'period': dict({ 'month': 3, 'year': 2023, }), 'smiley': 'MAD', }), 'comparedCost': None, 'estimated': False, 'type': 'warmwater', 'unit': 'm³', 'value': '1,1', }), dict({ 'additionalUnit': 'kWh', 'additionalValue': None, 'averageConsumption': None, 'comparedConsumption': None, 'comparedCost': None, 'estimated': False, 'type': None, 'unit': None, 'value': None, }), dict({ 'additionalUnit': 'kWh', 'additionalValue': None, 'averageConsumption': None, 'comparedConsumption': None, 'comparedCost': None, 'estimated': False, 'type': None, 'unit': None, 'value': None, }), ]), }), dict({ 'date': dict({ 'month': 2, 'year': 2024, }), 'documentNumber': None, 'exception': None, 'isSCEedBasic': True, 'readings': list([ dict({ 'additionalUnit': 'kWh', 'additionalValue': None, 'averageConsumption': None, 'comparedConsumption': None, 'comparedCost': None, 'estimated': False, 'type': None, 'unit': None, 'value': None, }), dict({ 'additionalUnit': 'kWh', 'additionalValue': '562,0', 'averageConsumption': dict({ 'additionalAverageConsumptionPercentage': 100, 'additionalAverageConsumptionValue': '630,4', 'additionalResidentConsumptionPercentage': 89, 'additionalResidentConsumptionValue': '562,0', 'averageConsumptionPercentage': 100, 'averageConsumptionValue': '580', 'residentConsumptionPercentage': 89, 'residentConsumptionValue': '517', }), 'comparedConsumption': dict({ 'comparedPercentage': 6, 'comparedValue': '33', 'lastYearValue': 550.0, 'period': dict({ 'month': 2, 'year': 2023, }), 'smiley': 'HAPPY', }), 'comparedCost': None, 'estimated': False, 'type': 'heating', 'unit': 'Einheiten', 'value': '517', }), dict({ 'additionalUnit': 'kWh', 'additionalValue': '47,7', 'averageConsumption': dict({ 'additionalAverageConsumptionPercentage': 100, 'additionalAverageConsumptionValue': '57,6', 'additionalResidentConsumptionPercentage': 83, 'additionalResidentConsumptionValue': '47,7', 'averageConsumptionPercentage': 100, 'averageConsumptionValue': '1,0', 'residentConsumptionPercentage': 80, 'residentConsumptionValue': '0,8', }), 'comparedConsumption': dict({ 'comparedPercentage': 0, 'comparedValue': '0', 'lastYearValue': 0.8, 'period': dict({ 'month': 2, 'year': 2023, }), 'smiley': 'EQUAL', }), 'comparedCost': None, 'estimated': False, 'type': 'warmwater', 'unit': 'm³', 'value': '0,8', }), dict({ 'additionalUnit': 'kWh', 'additionalValue': None, 'averageConsumption': None, 'comparedConsumption': None, 'comparedCost': None, 'estimated': False, 'type': None, 'unit': None, 'value': None, }), dict({ 'additionalUnit': 'kWh', 'additionalValue': None, 'averageConsumption': None, 'comparedConsumption': None, 'comparedCost': None, 'estimated': False, 'type': None, 'unit': None, 'value': None, }), ]), }), dict({ 'date': dict({ 'month': 1, 'year': 2024, }), 'documentNumber': None, 'exception': None, 'isSCEedBasic': True, 'readings': list([ dict({ 'additionalUnit': 'kWh', 'additionalValue': None, 'averageConsumption': None, 'comparedConsumption': None, 'comparedCost': None, 'estimated': False, 'type': None, 'unit': None, 'value': None, }), dict({ 'additionalUnit': 'kWh', 'additionalValue': '657,6', 'averageConsumption': dict({ 'additionalAverageConsumptionPercentage': 100, 'additionalAverageConsumptionValue': '723,4', 'additionalResidentConsumptionPercentage': 91, 'additionalResidentConsumptionValue': '657,6', 'averageConsumptionPercentage': 100, 'averageConsumptionValue': '666', 'residentConsumptionPercentage': 91, 'residentConsumptionValue': '605', }), 'comparedConsumption': dict({ 'comparedPercentage': 1, 'comparedValue': '7', 'lastYearValue': 598.0, 'period': dict({ 'month': 1, 'year': 2023, }), 'smiley': 'MAD', }), 'comparedCost': None, 'estimated': False, 'type': 'heating', 'unit': 'Einheiten', 'value': '605', }), dict({ 'additionalUnit': 'kWh', 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'unit': None, 'value': None, }), ]), 'date': dict({ 'month': 8, 'year': 2023, }), 'exception': None, 'isSCEedBasic': True, }), dict({ 'costsByEnergyType': list([ dict({ 'comparedCost': dict({ 'comparedPercentage': 100, 'comparedValue': '1', 'lastYearValue': 1.2, 'period': dict({ 'month': 7, 'year': 2022, }), 'smiley': 'HAPPY', }), 'estimated': False, 'type': 'heating', 'unit': 'EUR', 'value': 0, }), dict({ 'comparedCost': dict({ 'comparedPercentage': 0, 'comparedValue': '0', 'lastYearValue': 6.0, 'period': dict({ 'month': 7, 'year': 2022, }), 'smiley': 'EQUAL', }), 'estimated': False, 'type': 'warmwater', 'unit': 'EUR', 'value': 6, }), dict({ 'comparedCost': None, 'estimated': False, 'type': None, 'unit': None, 'value': None, }), ]), 'date': dict({ 'month': 7, 'year': 2023, }), 'exception': None, 'isSCEedBasic': True, }), dict({ 'costsByEnergyType': list([ dict({ 'comparedCost': None, 'estimated': False, 'type': 'heating', 'unit': 'EUR', 'value': 0, }), dict({ 'comparedCost': None, 'estimated': False, 'type': 'warmwater', 'unit': 'EUR', 'value': 6, }), dict({ 'comparedCost': None, 'estimated': False, 'type': None, 'unit': None, 'value': None, }), ]), 'date': dict({ 'month': 6, 'year': 2023, }), 'exception': None, 'isSCEedBasic': True, }), dict({ 'costsByEnergyType': list([ dict({ 'comparedCost': None, 'estimated': False, 'type': 'heating', 'unit': 'EUR', 'value': 27, }), dict({ 'comparedCost': None, 'estimated': False, 'type': 'warmwater', 'unit': 'EUR', 'value': 5, }), dict({ 'comparedCost': None, 'estimated': False, 'type': None, 'unit': None, 'value': None, }), ]), 'date': dict({ 'month': 5, 'year': 2023, }), 'exception': None, 'isSCEedBasic': True, }), dict({ 'costsByEnergyType': list([ dict({ 'comparedCost': None, 'estimated': False, 'type': 'heating', 'unit': 'EUR', 'value': 40, }), dict({ 'comparedCost': None, 'estimated': False, 'type': 'warmwater', 'unit': 'EUR', 'value': 7, }), dict({ 'comparedCost': None, 'estimated': False, 'type': None, 'unit': None, 'value': None, }), ]), 'date': dict({ 'month': 4, 'year': 2023, }), 'exception': None, 'isSCEedBasic': True, }), dict({ 'costsByEnergyType': list([ dict({ 'comparedCost': None, 'estimated': False, 'type': 'heating', 'unit': 'EUR', 'value': 177, }), dict({ 'comparedCost': None, 'estimated': False, 'type': 'warmwater', 'unit': 'EUR', 'value': 7, }), dict({ 'comparedCost': None, 'estimated': False, 'type': None, 'unit': None, 'value': None, }), ]), 'date': dict({ 'month': 3, 'year': 2023, }), 'exception': None, 'isSCEedBasic': True, }), dict({ 'costsByEnergyType': list([ dict({ 'comparedCost': None, 'estimated': False, 'type': 'heating', 'unit': 'EUR', 'value': 326, }), dict({ 'comparedCost': None, 'estimated': False, 'type': 'warmwater', 'unit': 'EUR', 'value': 6, }), dict({ 'comparedCost': None, 'estimated': False, 'type': None, 'unit': None, 'value': None, }), ]), 'date': dict({ 'month': 2, 'year': 2023, }), 'exception': None, 'isSCEedBasic': True, }), dict({ 'costsByEnergyType': list([ dict({ 'comparedCost': None, 'estimated': False, 'type': 'heating', 'unit': 'EUR', 'value': 354, }), dict({ 'comparedCost': None, 'estimated': False, 'type': 'warmwater', 'unit': 'EUR', 'value': 7, }), dict({ 'comparedCost': None, 'estimated': False, 'type': None, 'unit': None, 'value': None, }), ]), 'date': dict({ 'month': 1, 'year': 2023, }), 'exception': None, 'isSCEedBasic': True, }), dict({ 'costsByEnergyType': list([ dict({ 'comparedCost': None, 'estimated': False, 'type': 'heating', 'unit': 'EUR', 'value': 316, }), dict({ 'comparedCost': None, 'estimated': False, 'type': 'warmwater', 'unit': 'EUR', 'value': 7, }), dict({ 'comparedCost': None, 'estimated': False, 'type': None, 'unit': None, 'value': None, }), ]), 'date': dict({ 'month': 12, 'year': 2022, }), 'exception': None, 'isSCEedBasic': True, }), dict({ 'costsByEnergyType': list([ dict({ 'comparedCost': None, 'estimated': False, 'type': 'heating', 'unit': 'EUR', 'value': 216, }), dict({ 'comparedCost': None, 'estimated': False, 'type': 'warmwater', 'unit': 'EUR', 'value': 7, }), dict({ 'comparedCost': None, 'estimated': False, 'type': None, 'unit': None, 'value': None, }), ]), 'date': dict({ 'month': 11, 'year': 2022, }), 'exception': None, 'isSCEedBasic': True, }), dict({ 'costsByEnergyType': list([ dict({ 'comparedCost': None, 'estimated': False, 'type': 'heating', 'unit': 'EUR', 'value': 106, }), dict({ 'comparedCost': None, 'estimated': False, 'type': 'warmwater', 'unit': 'EUR', 'value': 9, }), dict({ 'comparedCost': None, 'estimated': False, 'type': None, 'unit': None, 'value': None, }), ]), 'date': dict({ 'month': 10, 'year': 2022, }), 'exception': None, 'isSCEedBasic': True, }), dict({ 'costsByEnergyType': list([ dict({ 'comparedCost': None, 'estimated': False, 'type': 'heating', 'unit': 'EUR', 'value': 5, }), dict({ 'comparedCost': None, 'estimated': False, 'type': 'warmwater', 'unit': 'EUR', 'value': 8, }), dict({ 'comparedCost': None, 'estimated': False, 'type': None, 'unit': None, 'value': None, }), ]), 'date': dict({ 'month': 9, 'year': 2022, }), 'exception': None, 'isSCEedBasic': True, }), dict({ 'costsByEnergyType': list([ dict({ 'comparedCost': None, 'estimated': False, 'type': 'heating', 'unit': 'EUR', 'value': 0, }), dict({ 'comparedCost': None, 'estimated': False, 'type': 'warmwater', 'unit': 'EUR', 'value': 3, }), dict({ 'comparedCost': None, 'estimated': False, 'type': None, 'unit': None, 'value': None, }), ]), 'date': dict({ 'month': 8, 'year': 2022, }), 'exception': None, 'isSCEedBasic': True, }), dict({ 'costsByEnergyType': list([ dict({ 'comparedCost': None, 'estimated': False, 'type': 'heating', 'unit': 'EUR', 'value': 1, }), dict({ 'comparedCost': None, 'estimated': False, 'type': 'warmwater', 'unit': 'EUR', 'value': 6, }), dict({ 'comparedCost': None, 'estimated': False, 'type': None, 'unit': None, 'value': None, }), ]), 'date': dict({ 'month': 7, 'year': 2022, }), 'exception': None, 'isSCEedBasic': True, }), ]), 'costsBillingPeriods': dict({ 'currentBillingPeriod': dict({ 'exception': None, 'readings': list([ dict({ 'additionalUnit': 'kWh', 'additionalValue': None, 'averageConsumption': None, 'comparedConsumption': None, 'comparedCost': dict({ 'comparedPercentage': 0, 'comparedValue': '1', 'lastYearValue': 1568.0, 'period': None, 'smiley': 'HAPPY', }), 'estimated': False, 'type': 'heating', 'unit': 'EUR', 'value': '1567', }), dict({ 'additionalUnit': 'kWh', 'additionalValue': None, 'averageConsumption': None, 'comparedConsumption': None, 'comparedCost': dict({ 'comparedPercentage': 7, 'comparedValue': '5', 'lastYearValue': 72.0, 'period': None, 'smiley': 'MAD', }), 'estimated': False, 'type': 'warmwater', 'unit': 'EUR', 'value': '77', }), dict({ 'additionalUnit': 'kWh', 'additionalValue': None, 'averageConsumption': None, 'comparedConsumption': None, 'comparedCost': None, 'estimated': False, 'type': None, 'unit': None, 'value': None, }), ]), 'timeRange': dict({ 'end': dict({ 'month': 5, 'year': 2024, }), 'start': dict({ 'month': 7, 'year': 2023, }), }), }), 'previousBillingPeriod': dict({ 'readings': list([ dict({ 'additionalUnit': 'kWh', 'additionalValue': None, 'averageConsumption': None, 'comparedConsumption': None, 'comparedCost': None, 'estimated': False, 'type': 'heating', 'unit': 'EUR', 'value': '1568', }), dict({ 'additionalUnit': 'kWh', 'additionalValue': None, 'averageConsumption': None, 'comparedConsumption': None, 'comparedCost': None, 'estimated': False, 'type': 'warmwater', 'unit': 'EUR', 'value': '72', }), dict({ 'additionalUnit': 'kWh', 'additionalValue': None, 'averageConsumption': None, 'comparedConsumption': None, 'comparedCost': None, 'estimated': False, 'type': None, 'unit': None, 'value': None, }), ]), 'timeRange': dict({ 'end': dict({ 'month': 5, 'year': 2023, }), 'start': dict({ 'month': 7, 'year': 2022, }), }), }), }), 'isSCEedBasicForCurrentMonth': True, 'nonEEDBasicStartDate': None, 'resident': dict({ 'invalid': False, 'invalidDate': None, 'moveOutDate': None, 'movedOut': False, }), }) # --- pyecotrend-ista-3.3.3/tests/__snapshots__/test_login.ambr000066400000000000000000000003321502151036100236140ustar00rootroot00000000000000# serializer version: 1 # name: test_demo_user_login[demo@ista.de] dict({ 'access_token': 'ACCESS_TOKEN', 'expires_in': 60, 'refresh_expires_in': 5184000, 'refresh_token': 'REFRESH_TOKEN', }) # --- pyecotrend-ista-3.3.3/tests/__snapshots__/test_other.ambr000066400000000000000000000020521502151036100236260ustar00rootroot00000000000000# serializer version: 1 # name: test_get_account dict({ 'activeConsumptionUnit': '7a226e08-2a90-4db9-ae9b-8148901c6ec2', 'ads': False, 'authcode': None, 'betaPhase': None, 'consumptionUnitUuids': None, 'country': 'DE', 'email': 'max.istamann@test.com', 'emailConfirmed': False, 'enabled': True, 'fcmToken': 'null', 'firstName': 'Max', 'isDemo': False, 'keycloakId': None, 'lastName': 'Istamann', 'locale': 'de_DE', 'marketing': False, 'mobileLoginStatus': 'non_initial', 'mobileNumber': '+49123456789', 'notificationMethod': 'email', 'notificationMethodEmailConfirmed': True, 'password': None, 'privacy': None, 'residentAndConsumptionUuidsMap': dict({ '17c4dff7-799f-4f16-badc-a9b3607a9383': '7a226e08-2a90-4db9-ae9b-8148901c6ec2', }), 'residentTimeRangeUuids': None, 'supportCode': 'XXXXXXXXX', 'tos': '1.0', 'tosUpdated': '01.01.1970', 'transitionMobileNumber': '', 'unconfirmedPhoneNumber': '', 'userGroup': 'resident', }) # --- pyecotrend-ista-3.3.3/tests/__snapshots__/test_set_account.ambr000066400000000000000000000020521502151036100250140ustar00rootroot00000000000000# serializer version: 1 # name: test_set_account dict({ 'activeConsumptionUnit': '7a226e08-2a90-4db9-ae9b-8148901c6ec2', 'ads': False, 'authcode': None, 'betaPhase': None, 'consumptionUnitUuids': None, 'country': 'DE', 'email': 'max.istamann@test.com', 'emailConfirmed': False, 'enabled': True, 'fcmToken': 'null', 'firstName': 'Max', 'isDemo': False, 'keycloakId': None, 'lastName': 'Istamann', 'locale': 'de_DE', 'marketing': False, 'mobileLoginStatus': 'non_initial', 'mobileNumber': '+49123456789', 'notificationMethod': 'email', 'notificationMethodEmailConfirmed': True, 'password': None, 'privacy': None, 'residentAndConsumptionUuidsMap': dict({ '17c4dff7-799f-4f16-badc-a9b3607a9383': '7a226e08-2a90-4db9-ae9b-8148901c6ec2', }), 'residentTimeRangeUuids': None, 'supportCode': 'XXXXXXXXX', 'tos': '1.0', 'tosUpdated': '01.01.1970', 'transitionMobileNumber': '', 'unconfirmedPhoneNumber': '', 'userGroup': 'resident', }) # --- pyecotrend-ista-3.3.3/tests/conftest.py000066400000000000000000000111371502151036100201700ustar00rootroot00000000000000"""Fixtures for Tests.""" from http import HTTPStatus from pathlib import Path import pytest from requests_mock.mocker import Mocker as RequestsMock from pyecotrend_ista import PyEcotrendIsta from pyecotrend_ista.const import API_BASE_URL, DEMO_USER_ACCOUNT, PROVIDER_URL TEST_EMAIL = "max.istamann@test.com" DEMO_EMAIL = DEMO_USER_ACCOUNT TEST_PASSWORD = "password" @pytest.fixture def json_data(request) -> str: """Load json test data.""" file = getattr(request, "param", "test_data") path = Path(__file__).parent / "data" / f"{file}.json" return path.read_text(encoding="utf-8") @pytest.fixture def ista_client(request) -> PyEcotrendIsta: """Create Bring instance.""" ista = PyEcotrendIsta( email=getattr(request, "param", TEST_EMAIL), password=TEST_PASSWORD, ) return ista @pytest.fixture def mock_requests_login(requests_mock: RequestsMock) -> RequestsMock: """Mock requests to Login Endpoints.""" requests_mock.post( PROVIDER_URL + "token", json={ "access_token": "ACCESS_TOKEN", "expires_in": 60, "refresh_expires_in": 5183999, "refresh_token": "REFRESH_TOKEN", "token_type": "Bearer", "id_token": "ID_TOKEN", "not-before-policy": 0, "session_state": "SESSION_STATE", "scope": "openid profile email", }, ) requests_mock.get( f"{API_BASE_URL}demo-user-token", json={ "accessToken": "ACCESS_TOKEN", "accessTokenExpiresIn": 60, "refreshToken": "REFRESH_TOKEN", "refreshTokenExpiresIn": 5184000, }, ) requests_mock.get( PROVIDER_URL + "auth", text="""

""", headers={ "Set-Cookie": "AUTH_SESSION_ID=xxxxx.keycloak-xxxxxx; Version=1; Path=/realms/eed-prod/; SameSite=None; Secure; HttpOnly" }, ) requests_mock.post( "https://keycloak.ista.com/realms/eed-prod/login-actions/authenticate", headers={"Location": "https://ecotrend.ista.de/login-redirect#state=STATE&session_state=SESSION_STATE&code=AUTH_CODE"}, ) requests_mock.get( f"{API_BASE_URL}account", json={ "firstName": "Max", "lastName": "Istamann", "email": "max.istamann@test.com", "keycloakId": None, "country": "DE", "locale": "de_DE", "authcode": None, "tos": "1.0", "tosUpdated": "01.01.1970", "privacy": None, "mobileNumber": "+49123456789", "transitionMobileNumber": "", "unconfirmedPhoneNumber": "", "password": None, "enabled": True, "consumptionUnitUuids": None, "residentTimeRangeUuids": None, "ads": False, "marketing": False, "fcmToken": "null", "betaPhase": None, "notificationMethod": "email", "emailConfirmed": False, "isDemo": False, "userGroup": "resident", "mobileLoginStatus": "non_initial", "residentAndConsumptionUuidsMap": {"17c4dff7-799f-4f16-badc-a9b3607a9383": "7a226e08-2a90-4db9-ae9b-8148901c6ec2"}, "activeConsumptionUnit": "7a226e08-2a90-4db9-ae9b-8148901c6ec2", "supportCode": "XXXXXXXXX", "notificationMethodEmailConfirmed": True, }, ) requests_mock.post(PROVIDER_URL + "logout", status_code=HTTPStatus.NO_CONTENT) requests_mock.get( f"{API_BASE_URL}menu", json={ "consumptionUnits": [ { "id": "7a226e08-2a90-4db9-ae9b-8148901c6ec2", "address": { "street": "Luxemburger Str.", "houseNumber": "1", "postalCode": "45131", "city": "Essen", "country": "DE", "floor": "2. OG links", "propertyNumber": "112233445", "consumptionUnitNumber": "0001", "idAtCustomerUser": "6234XB", }, "booked": {"cost": True, "co2": False}, "propertyNumber": "57352474", } ], "coBranding": None, }, ) return requests_mock pyecotrend-ista-3.3.3/tests/data/000077500000000000000000000000001502151036100166775ustar00rootroot00000000000000pyecotrend-ista-3.3.3/tests/data/test_data.json000066400000000000000000002631551502151036100215560ustar00rootroot00000000000000{ "co2Emissions": null, "co2EmissionsBillingPeriods": null, "consumptionUnitId": "26e93f1a-c828-11ea-87d0-0242ac130003", "consumptions": [ { "date": { "month": 5, "year": 2024 }, "documentNumber": null, "exception": null, "isSCEedBasic": true, "readings": [ { "additionalUnit": "kWh", "additionalValue": null, "averageConsumption": null, "comparedConsumption": null, "comparedCost": null, "estimated": false, "type": null, "unit": null, "value": null }, { "additionalUnit": "kWh", "additionalValue": "38,0", "averageConsumption": { "additionalAverageConsumptionPercentage": 72, "additionalAverageConsumptionValue": "27,2", "additionalResidentConsumptionPercentage": 100, "additionalResidentConsumptionValue": "38,0", "averageConsumptionPercentage": 71, "averageConsumptionValue": "25", "residentConsumptionPercentage": 100, "residentConsumptionValue": "35" }, "comparedConsumption": { "comparedPercentage": 22, "comparedValue": "10", "lastYearValue": 45.0, "period": { "month": 5, "year": 2023 }, "smiley": "HAPPY" }, "comparedCost": null, "estimated": false, "type": "heating", "unit": "Einheiten", "value": "35" }, { "additionalUnit": "kWh", "additionalValue": "57,0", "averageConsumption": { "additionalAverageConsumptionPercentage": 80, "additionalAverageConsumptionValue": "45,6", "additionalResidentConsumptionPercentage": 100, "additionalResidentConsumptionValue": "57,0", "averageConsumptionPercentage": 80, "averageConsumptionValue": "0,8", "residentConsumptionPercentage": 100, "residentConsumptionValue": "1,0" }, "comparedConsumption": { "comparedPercentage": 43, "comparedValue": "0,3", "lastYearValue": 0.7, "period": { "month": 5, "year": 2023 }, "smiley": "MAD" }, "comparedCost": null, "estimated": false, "type": "warmwater", "unit": "m³", "value": "1,0" }, { "additionalUnit": "kWh", "additionalValue": null, "averageConsumption": null, "comparedConsumption": null, "comparedCost": null, "estimated": false, "type": null, "unit": null, "value": null }, { "additionalUnit": "kWh", "additionalValue": null, "averageConsumption": null, "comparedConsumption": null, "comparedCost": null, "estimated": false, "type": null, "unit": null, "value": null } ] }, { "date": { "month": 4, "year": 2024 }, "documentNumber": null, "exception": null, "isSCEedBasic": true, "readings": [ { "additionalUnit": "kWh", "additionalValue": null, "averageConsumption": null, "comparedConsumption": null, "comparedCost": null, "estimated": false, "type": null, "unit": null, "value": null }, { "additionalUnit": "kWh", "additionalValue": "113,0", "averageConsumption": { "additionalAverageConsumptionPercentage": 96, "additionalAverageConsumptionValue": "108,7", "additionalResidentConsumptionPercentage": 100, "additionalResidentConsumptionValue": "113,0", "averageConsumptionPercentage": 96, "averageConsumptionValue": "100", "residentConsumptionPercentage": 100, "residentConsumptionValue": "104" }, "comparedConsumption": { "comparedPercentage": 53, "comparedValue": "36", "lastYearValue": 68.0, "period": { "month": 4, "year": 2023 }, "smiley": "MAD" }, "comparedCost": null, "estimated": false, "type": "heating", "unit": "Einheiten", "value": "104" }, { "additionalUnit": "kWh", "additionalValue": "61,1", "averageConsumption": { "additionalAverageConsumptionPercentage": 80, "additionalAverageConsumptionValue": "48,8", "additionalResidentConsumptionPercentage": 100, "additionalResidentConsumptionValue": "61,1", "averageConsumptionPercentage": 73, "averageConsumptionValue": "0,8", "residentConsumptionPercentage": 100, "residentConsumptionValue": "1,1" }, "comparedConsumption": { "comparedPercentage": 10, "comparedValue": "0,1", "lastYearValue": 1.0, "period": { "month": 4, "year": 2023 }, "smiley": "MAD" }, "comparedCost": null, "estimated": false, "type": "warmwater", "unit": "m³", "value": "1,1" }, { "additionalUnit": "kWh", "additionalValue": null, "averageConsumption": null, "comparedConsumption": null, "comparedCost": null, "estimated": false, "type": null, "unit": null, "value": null }, { "additionalUnit": "kWh", "additionalValue": null, "averageConsumption": null, "comparedConsumption": null, "comparedCost": null, "estimated": false, "type": null, "unit": null, "value": null } ] }, { "date": { "month": 3, "year": 2024 }, "documentNumber": null, "exception": null, "isSCEedBasic": true, "readings": [ { "additionalUnit": "kWh", "additionalValue": null, "averageConsumption": null, "comparedConsumption": null, "comparedCost": null, "estimated": false, "type": null, "unit": null, "value": null }, { "additionalUnit": "kWh", "additionalValue": "440,2", "averageConsumption": { "additionalAverageConsumptionPercentage": 100, "additionalAverageConsumptionValue": "476,1", "additionalResidentConsumptionPercentage": 92, "additionalResidentConsumptionValue": "440,2", "averageConsumptionPercentage": 100, "averageConsumptionValue": "438", "residentConsumptionPercentage": 92, "residentConsumptionValue": "405" }, "comparedConsumption": { "comparedPercentage": 35, "comparedValue": "106", "lastYearValue": 299.0, "period": { "month": 3, "year": 2023 }, "smiley": "MAD" }, "comparedCost": null, "estimated": false, "type": "heating", "unit": "Einheiten", "value": "405" }, { "additionalUnit": "kWh", "additionalValue": "65,7", "averageConsumption": { "additionalAverageConsumptionPercentage": 80, "additionalAverageConsumptionValue": "52,6", "additionalResidentConsumptionPercentage": 100, "additionalResidentConsumptionValue": "65,7", "averageConsumptionPercentage": 82, "averageConsumptionValue": "0,9", "residentConsumptionPercentage": 100, "residentConsumptionValue": "1,1" }, "comparedConsumption": { "comparedPercentage": 10, "comparedValue": "0,1", "lastYearValue": 1.0, "period": { "month": 3, "year": 2023 }, "smiley": "MAD" }, "comparedCost": null, "estimated": false, "type": "warmwater", "unit": "m³", "value": "1,1" }, { "additionalUnit": "kWh", "additionalValue": null, "averageConsumption": null, "comparedConsumption": null, "comparedCost": null, "estimated": false, "type": null, "unit": null, "value": null }, { "additionalUnit": "kWh", "additionalValue": null, "averageConsumption": null, "comparedConsumption": null, "comparedCost": null, "estimated": false, "type": null, "unit": null, "value": null } ] }, { "date": { "month": 2, "year": 2024 }, "documentNumber": null, "exception": null, "isSCEedBasic": true, "readings": [ { "additionalUnit": "kWh", "additionalValue": null, "averageConsumption": null, "comparedConsumption": null, "comparedCost": null, "estimated": false, "type": null, "unit": null, "value": null }, { "additionalUnit": "kWh", "additionalValue": "562,0", "averageConsumption": { "additionalAverageConsumptionPercentage": 100, "additionalAverageConsumptionValue": "630,4", "additionalResidentConsumptionPercentage": 89, "additionalResidentConsumptionValue": "562,0", "averageConsumptionPercentage": 100, "averageConsumptionValue": "580", "residentConsumptionPercentage": 89, "residentConsumptionValue": "517" }, "comparedConsumption": { "comparedPercentage": 6, "comparedValue": "33", "lastYearValue": 550.0, "period": { "month": 2, "year": 2023 }, "smiley": "HAPPY" }, "comparedCost": null, "estimated": false, "type": "heating", "unit": "Einheiten", "value": "517" }, { "additionalUnit": "kWh", "additionalValue": "47,7", "averageConsumption": { "additionalAverageConsumptionPercentage": 100, "additionalAverageConsumptionValue": "57,6", "additionalResidentConsumptionPercentage": 83, "additionalResidentConsumptionValue": "47,7", "averageConsumptionPercentage": 100, "averageConsumptionValue": "1,0", "residentConsumptionPercentage": 80, "residentConsumptionValue": "0,8" }, "comparedConsumption": { "comparedPercentage": 0, "comparedValue": "0", "lastYearValue": 0.8, "period": { "month": 2, "year": 2023 }, "smiley": "EQUAL" }, "comparedCost": null, "estimated": false, "type": "warmwater", "unit": "m³", "value": "0,8" }, { "additionalUnit": "kWh", "additionalValue": null, "averageConsumption": null, "comparedConsumption": null, "comparedCost": null, "estimated": false, "type": null, "unit": null, "value": null }, { "additionalUnit": "kWh", "additionalValue": null, "averageConsumption": null, "comparedConsumption": null, "comparedCost": null, "estimated": false, "type": null, "unit": null, "value": null } ] }, { "date": { "month": 1, "year": 2024 }, "documentNumber": null, "exception": null, "isSCEedBasic": true, "readings": [ { "additionalUnit": "kWh", 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"averageConsumption": null, "comparedConsumption": null, "comparedCost": { "comparedPercentage": 0, "comparedValue": "1", "lastYearValue": 1568.0, "period": null, "smiley": "HAPPY" }, "estimated": false, "type": "heating", "unit": "EUR", "value": "1567" }, { "additionalUnit": "kWh", "additionalValue": null, "averageConsumption": null, "comparedConsumption": null, "comparedCost": { "comparedPercentage": 7, "comparedValue": "5", "lastYearValue": 72.0, "period": null, "smiley": "MAD" }, "estimated": false, "type": "warmwater", "unit": "EUR", "value": "77" }, { "additionalUnit": "kWh", "additionalValue": null, "averageConsumption": null, "comparedConsumption": null, "comparedCost": null, "estimated": false, "type": null, "unit": null, "value": null } ], "timeRange": { "end": { "month": 5, "year": 2024 }, "start": { "month": 7, "year": 2023 } } }, "previousBillingPeriod": { "readings": [ { "additionalUnit": "kWh", "additionalValue": null, "averageConsumption": null, "comparedConsumption": null, "comparedCost": null, "estimated": false, "type": "heating", "unit": "EUR", "value": "1568" }, { "additionalUnit": "kWh", "additionalValue": null, "averageConsumption": null, "comparedConsumption": null, "comparedCost": null, "estimated": false, "type": "warmwater", "unit": "EUR", "value": "72" }, { "additionalUnit": "kWh", "additionalValue": null, "averageConsumption": null, "comparedConsumption": null, "comparedCost": null, "estimated": false, "type": null, "unit": null, "value": null } ], "timeRange": { "end": { "month": 5, "year": 2023 }, "start": { "month": 7, "year": 2022 } } } }, "isSCEedBasicForCurrentMonth": true, "nonEEDBasicStartDate": null, "resident": { "invalid": false, "invalidDate": null, "moveOutDate": null, "movedOut": false } } pyecotrend-ista-3.3.3/tests/test_consumption_unit_details.py000066400000000000000000000035101502151036100245200ustar00rootroot00000000000000"""Tests for `get_consumption_unit_details` method.""" from http import HTTPStatus import pytest import requests from requests_mock.mocker import Mocker as RequestsMock from syrupy.assertion import SnapshotAssertion from pyecotrend_ista import LoginError, ParserError, PyEcotrendIsta, ServerError from pyecotrend_ista.const import API_BASE_URL @pytest.mark.usefixtures("mock_requests_login") def test_get_consumption_unit_details(ista_client: PyEcotrendIsta, snapshot: SnapshotAssertion) -> None: """Test `get_consumption_unit_details` method.""" ista_client.login() assert ista_client.get_consumption_unit_details() == snapshot @pytest.mark.parametrize( ("status_code", "expected_exception"), ( [ (HTTPStatus.OK, ParserError), (HTTPStatus.BAD_REQUEST, ServerError), (HTTPStatus.UNAUTHORIZED, LoginError), ] ), ) def test_get_consumption_unit_details_http_errors( requests_mock: RequestsMock, ista_client: PyEcotrendIsta, status_code: HTTPStatus, expected_exception ) -> None: """Test Login method.""" requests_mock.get( f"{API_BASE_URL}menu", status_code=status_code, ) with pytest.raises(expected_exception=expected_exception): ista_client.get_consumption_unit_details() @pytest.mark.parametrize( ("exception", "expected_exception"), ([(requests.RequestException, ServerError), (requests.Timeout, ServerError)]) ) def test_get_consumption_unit_details_exceptions( ista_client: PyEcotrendIsta, requests_mock: RequestsMock, exception, expected_exception, ) -> None: """Test exceptions for method `get_consumption_unit_details`.""" requests_mock.get(f"{API_BASE_URL}menu", exc=exception) with pytest.raises(expected_exception=expected_exception): ista_client.get_consumption_unit_details() pyecotrend-ista-3.3.3/tests/test_consumptions.py000066400000000000000000000103471502151036100221450ustar00rootroot00000000000000"""Tests for _set_account methods.""" from http import HTTPStatus import pytest import requests from requests_mock.mocker import Mocker as RequestsMock from syrupy.assertion import SnapshotAssertion from syrupy.filters import paths from pyecotrend_ista import LoginError, ParserError, PyEcotrendIsta, ServerError from pyecotrend_ista.const import API_BASE_URL def test_get_comsumption_data(ista_client: PyEcotrendIsta, requests_mock: RequestsMock, snapshot: SnapshotAssertion, json_data: str,) -> None: """Test `_set_account` method.""" requests_mock.get(f"{API_BASE_URL}consumptions", text=json_data) assert ista_client.get_consumption_data("26e93f1a-c828-11ea-87d0-0242ac130003") == snapshot @pytest.mark.parametrize( ("status_code", "expected_exception"), ( [ (HTTPStatus.OK, ParserError), (HTTPStatus.INTERNAL_SERVER_ERROR, ServerError), (HTTPStatus.BAD_REQUEST, ValueError), (HTTPStatus.UNAUTHORIZED, LoginError), ] ), ) def test_get_comsumption_data_http_errors( requests_mock: RequestsMock, ista_client: PyEcotrendIsta, status_code: HTTPStatus, expected_exception ) -> None: """Test Login method.""" requests_mock.get( f"{API_BASE_URL}consumptions?consumptionUnitUuid=26e93f1a-c828-11ea-87d0-0242ac130003", status_code=status_code, ) with pytest.raises(expected_exception=expected_exception): ista_client.get_consumption_data("26e93f1a-c828-11ea-87d0-0242ac130003") @pytest.mark.parametrize( ("exception", "expected_exception"), ([(requests.RequestException, ServerError), (requests.Timeout, ServerError)]) ) def test_get_comsumption_data_exceptions(requests_mock: RequestsMock, ista_client: PyEcotrendIsta, exception, expected_exception) -> None: """Test Login method.""" requests_mock.get( f"{API_BASE_URL}consumptions?consumptionUnitUuid=26e93f1a-c828-11ea-87d0-0242ac130003", exc=exception ) with pytest.raises(expected_exception=expected_exception): ista_client.get_consumption_data("26e93f1a-c828-11ea-87d0-0242ac130003") def test_consum_raw(ista_client: PyEcotrendIsta, requests_mock: RequestsMock, snapshot: SnapshotAssertion, json_data: str) -> None: """Test `cunsum_raw` method.""" requests_mock.get(f"{API_BASE_URL}consumptions", text=json_data) result = ista_client.consum_raw(obj_uuid="26e93f1a-c828-11ea-87d0-0242ac130003") # consum_raw returns consum_types list in random order, so we exclude it from snapshot matcher assert ["heating", "warmwater"] == sorted(result["consum_types"]) assert result == snapshot(exclude=paths("consum_types")) @pytest.mark.parametrize( ("select_year"), [[2024], [2023], [2022], [2024, 2022], [2024, 2023, 2022], [2023, 2022], None], ) @pytest.mark.parametrize( ("select_month"), [ None, [1, 2], [1, 2, 3], [1, 2, 3, 4], [1, 2, 3, 4, 5], [1, 2, 3, 4, 5, 6], [1, 2, 3, 4, 5, 6, 7], [1, 2, 3, 4, 5, 6, 7, 8], [1, 2, 3, 4, 5, 6, 7, 8, 9], [1, 2, 3, 4, 5, 6, 7, 8, 9, 10], [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11], [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 12], [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [12, 1], [12, 2, 3], [12, 3, 4], [12, 4, 5], [1, 3, 5, 7, 9, 11], ], ) @pytest.mark.parametrize(("filter_none"), [True, False]) def test_consum_raw_filters( ista_client: PyEcotrendIsta, requests_mock: RequestsMock, snapshot: SnapshotAssertion, json_data: str, select_year: list[int], select_month: list[int], filter_none: bool, ) -> None: """Test `cunsum_raw` method.""" requests_mock.get(f"{API_BASE_URL}consumptions", text=json_data) result = ista_client.consum_raw( obj_uuid="26e93f1a-c828-11ea-87d0-0242ac130003", select_year=select_year, select_month=select_month, filter_none=filter_none, ) # consum_raw returns consum_types list in random order, so we exclude it from snapshot matcher assert ["heating", "warmwater"] == sorted(result["consum_types"]) assert result == snapshot(exclude=paths("consum_types")) pyecotrend-ista-3.3.3/tests/test_login.py000066400000000000000000000044471502151036100205200ustar00rootroot00000000000000"""Tests for Login methods.""" from http import HTTPStatus import pytest import requests from requests_mock.mocker import Mocker as RequestsMock from syrupy.assertion import SnapshotAssertion from pyecotrend_ista import ParserError, PyEcotrendIsta, ServerError from pyecotrend_ista.const import API_BASE_URL from tests.conftest import DEMO_EMAIL, TEST_EMAIL @pytest.mark.parametrize(("force_login"), [True, False]) @pytest.mark.parametrize("ista_client", [TEST_EMAIL, DEMO_EMAIL], indirect=True) @pytest.mark.usefixtures("mock_requests_login") def test_login(ista_client: PyEcotrendIsta, force_login: bool) -> None: """Test Login method.""" assert ista_client.login(force_login=force_login) == "ACCESS_TOKEN" @pytest.mark.usefixtures("mock_requests_login") def test_logout(ista_client: PyEcotrendIsta, mock_requests_login: RequestsMock) -> None: """Test Login method.""" ista_client.logout() assert mock_requests_login.called_once @pytest.mark.parametrize("ista_client", [DEMO_EMAIL], indirect=True) @pytest.mark.usefixtures("mock_requests_login") def test_demo_user_login(ista_client: PyEcotrendIsta, snapshot: SnapshotAssertion) -> None: """Test Login method.""" assert ista_client.demo_user_login() == snapshot @pytest.mark.parametrize( ("exception", "expected_exception"), ([(requests.RequestException, ServerError), (requests.Timeout, ServerError)]) ) def test_demo_user_login_exceptions( ista_client: PyEcotrendIsta, requests_mock: RequestsMock, exception, expected_exception, ) -> None: """Test exceptions for method `demo_user_login`.""" requests_mock.get(f"{API_BASE_URL}demo-user-token", exc=exception) with pytest.raises(expected_exception=expected_exception): ista_client.demo_user_login() @pytest.mark.parametrize( ("status_code", "expected_exception"), ([(HTTPStatus.OK, ParserError), (HTTPStatus.BAD_REQUEST, ServerError)]), ) def test_demo_user_login_http_errors( ista_client: PyEcotrendIsta, requests_mock: RequestsMock, status_code: HTTPStatus, expected_exception, ) -> None: """Test http errors for method `demo_user_login`.""" requests_mock.get(f"{API_BASE_URL}demo-user-token", status_code=status_code) with pytest.raises(expected_exception=expected_exception): ista_client.demo_user_login() pyecotrend-ista-3.3.3/tests/test_other.py000066400000000000000000000066041502151036100205260ustar00rootroot00000000000000"""Tests for utility methods.""" from typing import cast import pytest from syrupy.assertion import SnapshotAssertion from pyecotrend_ista import PyEcotrendIsta from pyecotrend_ista.const import VERSION from pyecotrend_ista.types import AccountResponse def test_get_uuids(ista_client: PyEcotrendIsta) -> None: """Test `get_uuids` method.""" ista_client._account = cast(AccountResponse , { # pylint: disable=W0212 "residentAndConsumptionUuidsMap": { "17c4dff7-799f-4f16-badc-a9b3607a9383": "7a226e08-2a90-4db9-ae9b-8148901c6ec2", "756a591c-185b-4441-a21a-46d4b94df4ad": "df3e8a64-a622-4ffb-97c5-b892a2cf331d", } }) assert ista_client.get_uuids() == ["7a226e08-2a90-4db9-ae9b-8148901c6ec2", "df3e8a64-a622-4ffb-97c5-b892a2cf331d"] def test_get_version(ista_client: PyEcotrendIsta) -> None: """Test `get_version` method.""" assert ista_client.get_version() == VERSION def test_get_user_agent(ista_client: PyEcotrendIsta) -> None: """Test `get_user_agent` method.""" assert ista_client.get_user_agent() == ( "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/101.0.4951.67" " Safari/537.36" ) @pytest.mark.usefixtures("mock_requests_login") def test_get_support_code(ista_client: PyEcotrendIsta) -> None: """Test `get_support_code` method.""" ista_client.login() assert ista_client.get_support_code() == "XXXXXXXXX" @pytest.mark.usefixtures("mock_requests_login") def test_get_support_code_returns_none(ista_client: PyEcotrendIsta) -> None: """Test `get_support_code` method.""" assert ista_client.get_support_code() is None @pytest.mark.parametrize(("access_token", "expected_result"), [("ACCESS_TOKEN", True), (None, False)]) def test_is_connected(ista_client: PyEcotrendIsta, access_token: str | None, expected_result: bool) -> None: """Test `_is_connected` method.""" ista_client._access_token = access_token # pylint: disable=W0212 assert ista_client._is_connected() is expected_result # pylint: disable=W0212 @pytest.mark.parametrize(("deprecated_method"), ["getVersion", "getUUIDs", "getSupportCode"]) def test_method_deprecations(ista_client: PyEcotrendIsta, deprecated_method: str) -> None: """Test warnings for deprecated methods.""" with pytest.warns(DeprecationWarning): try: getattr(ista_client, deprecated_method)() except Exception: # pylint: disable=W0718 pass @pytest.mark.parametrize(("param"), ["debug", "forceLogin"]) def test_login_deprecated_parameters(ista_client: PyEcotrendIsta, param: str) -> None: """Test warnings for deprecated methods.""" with pytest.warns(DeprecationWarning): try: ista_client.login(**{param: True}) except Exception: # pylint: disable=W0718 pass @pytest.mark.parametrize(("param"), ["logger", "hass_dir"]) def test_init_deprecated_parameters(param: str) -> None: """Test warnings for deprecated methods.""" with pytest.warns(DeprecationWarning): PyEcotrendIsta(email="", password="", **{param: True}) # type: ignore @pytest.mark.usefixtures("mock_requests_login") def test_get_account(ista_client: PyEcotrendIsta, snapshot: SnapshotAssertion) -> None: """Test `get_account` method.""" assert ista_client.get_account() is None ista_client.login() assert ista_client.get_account() == snapshot pyecotrend-ista-3.3.3/tests/test_set_account.py000066400000000000000000000036521502151036100217140ustar00rootroot00000000000000"""Tests for _set_account methods.""" from http import HTTPStatus import pytest import requests from requests_mock.mocker import Mocker as RequestsMock from syrupy.assertion import SnapshotAssertion from pyecotrend_ista import LoginError, ParserError, PyEcotrendIsta, ServerError from pyecotrend_ista.const import API_BASE_URL @pytest.mark.usefixtures("mock_requests_login") def test_set_account(ista_client: PyEcotrendIsta, snapshot: SnapshotAssertion) -> None: """Test `_set_account` method.""" ista_client._PyEcotrendIsta__set_account() # type: ignore[attr-defined] # pylint: disable=W0212 assert ista_client._account == snapshot # pylint: disable=W0212 assert ista_client.get_uuids() == ["7a226e08-2a90-4db9-ae9b-8148901c6ec2"] @pytest.mark.parametrize( ("exception", "expected_exception"), ([(requests.RequestException, ServerError), (requests.Timeout, ServerError)]) ) def test_set_account_exceptions( requests_mock: RequestsMock, ista_client: PyEcotrendIsta, exception, expected_exception ) -> None: """Test `_set_account` method exceptions.""" requests_mock.get(f"{API_BASE_URL}account", exc=exception) with pytest.raises(expected_exception=expected_exception): ista_client._PyEcotrendIsta__set_account() # type: ignore[attr-defined] # pylint: disable=W0212 @pytest.mark.parametrize( ("status_code", "expected_exception"), ([(HTTPStatus.OK, ParserError), (HTTPStatus.BAD_REQUEST, ServerError), (HTTPStatus.UNAUTHORIZED, LoginError)]), ) def test_set_account_httperrors( requests_mock: RequestsMock, ista_client: PyEcotrendIsta, status_code: HTTPStatus, expected_exception ) -> None: """Test `_set_account` method http status errors.""" requests_mock.get(f"{API_BASE_URL}account", status_code=status_code) with pytest.raises(expected_exception=expected_exception): ista_client._PyEcotrendIsta__set_account() # type: ignore[attr-defined] # pylint: disable=W0212 pyecotrend-ista-3.3.3/tox.ini000066400000000000000000000050371502151036100161440ustar00rootroot00000000000000[tox] skipsdist = True envlist = py311, py312, py313, format, lint, pre-commit, docstrings, documentation, test-publish isolated_build = True [gh-actions] python = 3.11: py311 3.12: py312 3.13: py313 [testenv] deps = pytest==8.4.0 pytest-cov==6.1.1 pytest-xdist==3.7.0 requests-mock[fixture]==1.12.1 syrupy==4.9.1 requests>=2 dataclasses-json>=0.6 commands = pytest --cov=src/pyecotrend_ista --cov-report=xml --cov-report=term-missing {posargs} [testenv:pre-commit] skip_install = true deps = pre-commit commands = pre-commit run --all-files -c .pre-commit-config.yaml --show-diff-on-failure [testenv:lint] description = Run linters skip_install = true deps = pylint ruff dataclasses-json requests commands = pylint --rcfile=pyproject.toml {[common] files} tests/ ruff check {[common] files} tests/ --fix [testenv:format] description = Run formatters skip_install = true deps = ruff commands = ruff format {[common] files} tests/ [testenv:docstrings] description = Validate docstrings with pydocstyle skip_install = false deps = pydocstyle numpydoc commands = pydocstyle {[common] files} tests/ --convention=numpy [testenv:documentation] description = Build the documentation skip_install = true deps = -rrequirements.txt ; mkdocs==1.6.1 ; mkdocstrings[python]>=0.18 ; Markdown==3.3.6 ; markdown-callouts==0.4.0 ; mkdocs-material==9.5.50 ; pygments==2.17.2 ; pymdown-extensions==10.3.1 ; mdx-gh-links==0.4 ; mkdocs-click==0.8.1 ; mkdocs-minify-plugin==0.8.0 ; mkdocs-git-revision-date-localized-plugin==1.2.6 ; mkdocs-git-committers-plugin-2==2.3.0 ; mkdocs-git-authors-plugin==0.9.0 ; mkdocs-autorefs==1.0.1 ; mkdocs-literate-nav==0.6.1 setenv = MKDOCS_GIT_COMMITTERS_APIKEY = {env:GITHUB_TOKEN} commands = mkdocs build [testenv:test-publish] description = Build and publish the test-package to PyPI skip_install = true deps = build twine commands = python -m build python -m twine upload --repository testpypi dist/* [testenv:publish] description = Build and publish the package to PyPI skip_install = true deps = build twine commands = python -m build python -m twine upload dist/* [common] files = src/pyecotrend_ista/__init__.py src/pyecotrend_ista/const.py src/pyecotrend_ista/exception_classes.py src/pyecotrend_ista/helper_object_de.py src/pyecotrend_ista/login_helper.py src/pyecotrend_ista/pyecotrend_ista.py src/pyecotrend_ista/__version.py src/pyecotrend_ista/types.py