readxl/0000755000176200001440000000000014760110262011530 5ustar liggesusersreadxl/tests/0000755000176200001440000000000013172305601012671 5ustar liggesusersreadxl/tests/BIFF5-LABEL-record-string-read-mac-10-11.supp0000644000176200001440000001612613172305601022104 0ustar liggesusers{ Memcheck:Cond fun:bcmp fun:_ZN16ImageLoaderMachO18validateFirstPagesEPK21linkedit_data_commandiPKhmxRKN11ImageLoader11LinkContextE fun:_ZN26ImageLoaderMachOCompressed19instantiateFromFileEPKciPKhmyyRK4statjjPK21linkedit_data_commandPK23encryption_info_commandRKN11ImageLoader11LinkContextE fun:_ZN16ImageLoaderMachO19instantiateFromFileEPKciPKhyyRK4statRKN11ImageLoader11LinkContextE fun:_ZN4dyldL10loadPhase6EiRK4statPKcRKNS_11LoadContextE fun:_ZN4dyldL10loadPhase5EPKcS1_RKNS_11LoadContextEPNSt3__16vectorIS1_NS5_9allocatorIS1_EEEE fun:_ZN4dyldL10loadPhase4EPKcS1_RKNS_11LoadContextEPNSt3__16vectorIS1_NS5_9allocatorIS1_EEEE fun:_ZN4dyldL10loadPhase3EPKcS1_RKNS_11LoadContextEPNSt3__16vectorIS1_NS5_9allocatorIS1_EEEE fun:_ZN4dyldL10loadPhase1EPKcS1_RKNS_11LoadContextEPNSt3__16vectorIS1_NS5_9allocatorIS1_EEEE fun:_ZN4dyldL10loadPhase0EPKcS1_RKNS_11LoadContextEPNSt3__16vectorIS1_NS5_9allocatorIS1_EEEE fun:_ZN4dyld4loadEPKcRKNS_11LoadContextE fun:_ZN4dyldL14libraryLocatorEPKcbS1_PKN11ImageLoader10RPathChainE } { Memcheck:Value8 fun:bcmp fun:_ZN16ImageLoaderMachO18validateFirstPagesEPK21linkedit_data_commandiPKhmxRKN11ImageLoader11LinkContextE fun:_ZN26ImageLoaderMachOCompressed19instantiateFromFileEPKciPKhmyyRK4statjjPK21linkedit_data_commandPK23encryption_info_commandRKN11ImageLoader11LinkContextE fun:_ZN16ImageLoaderMachO19instantiateFromFileEPKciPKhyyRK4statRKN11ImageLoader11LinkContextE fun:_ZN4dyldL10loadPhase6EiRK4statPKcRKNS_11LoadContextE fun:_ZN4dyldL10loadPhase5EPKcS1_RKNS_11LoadContextEPNSt3__16vectorIS1_NS5_9allocatorIS1_EEEE fun:_ZN4dyldL10loadPhase4EPKcS1_RKNS_11LoadContextEPNSt3__16vectorIS1_NS5_9allocatorIS1_EEEE fun:_ZN4dyldL10loadPhase3EPKcS1_RKNS_11LoadContextEPNSt3__16vectorIS1_NS5_9allocatorIS1_EEEE fun:_ZN4dyldL10loadPhase1EPKcS1_RKNS_11LoadContextEPNSt3__16vectorIS1_NS5_9allocatorIS1_EEEE fun:_ZN4dyldL10loadPhase0EPKcS1_RKNS_11LoadContextEPNSt3__16vectorIS1_NS5_9allocatorIS1_EEEE fun:_ZN4dyld4loadEPKcRKNS_11LoadContextE fun:_ZN4dyldL14libraryLocatorEPKcbS1_PKN11ImageLoader10RPathChainE } { Memcheck:Cond fun:_ZN16ImageLoaderMachO18validateFirstPagesEPK21linkedit_data_commandiPKhmxRKN11ImageLoader11LinkContextE fun:_ZN26ImageLoaderMachOCompressed19instantiateFromFileEPKciPKhmyyRK4statjjPK21linkedit_data_commandPK23encryption_info_commandRKN11ImageLoader11LinkContextE fun:_ZN16ImageLoaderMachO19instantiateFromFileEPKciPKhyyRK4statRKN11ImageLoader11LinkContextE fun:_ZN4dyldL10loadPhase6EiRK4statPKcRKNS_11LoadContextE fun:_ZN4dyldL10loadPhase5EPKcS1_RKNS_11LoadContextEPNSt3__16vectorIS1_NS5_9allocatorIS1_EEEE fun:_ZN4dyldL10loadPhase4EPKcS1_RKNS_11LoadContextEPNSt3__16vectorIS1_NS5_9allocatorIS1_EEEE fun:_ZN4dyldL10loadPhase3EPKcS1_RKNS_11LoadContextEPNSt3__16vectorIS1_NS5_9allocatorIS1_EEEE fun:_ZN4dyldL10loadPhase1EPKcS1_RKNS_11LoadContextEPNSt3__16vectorIS1_NS5_9allocatorIS1_EEEE fun:_ZN4dyldL10loadPhase0EPKcS1_RKNS_11LoadContextEPNSt3__16vectorIS1_NS5_9allocatorIS1_EEEE fun:_ZN4dyld4loadEPKcRKNS_11LoadContextE fun:_ZN4dyldL14libraryLocatorEPKcbS1_PKN11ImageLoader10RPathChainE fun:_ZN11ImageLoader22recursiveLoadLibrariesERKNS_11LinkContextEbRKNS_10RPathChainE } { Memcheck:Cond fun:strnlen fun:__vfprintf fun:__v2printf fun:_vasprintf fun:asprintf fun:xls_getfcell fun:xls_addCell fun:xls_parseWorkSheet fun:_ZN12XlsWorkSheetC2E11XlsWorkBookiN4Rcpp6VectorILi13ENS1_15PreserveStorageEEEb fun:_ZN12XlsWorkSheetC1E11XlsWorkBookiN4Rcpp6VectorILi13ENS1_15PreserveStorageEEEb fun:_Z9read_xls_NSt3__112basic_stringIcNS_11char_traitsIcEENS_9allocatorIcEEEEiN4Rcpp12RObject_ImplINS6_15PreserveStorageEEES9_S9_S9_NS_6vectorIS5_NS3_IS5_EEEEi fun:readxl_read_xls_ } { Memcheck:Cond fun:__vfprintf fun:__v2printf fun:_vasprintf fun:asprintf fun:xls_getfcell fun:xls_addCell fun:xls_parseWorkSheet fun:_ZN12XlsWorkSheetC2E11XlsWorkBookiN4Rcpp6VectorILi13ENS1_15PreserveStorageEEEb fun:_ZN12XlsWorkSheetC1E11XlsWorkBookiN4Rcpp6VectorILi13ENS1_15PreserveStorageEEEb fun:_Z9read_xls_NSt3__112basic_stringIcNS_11char_traitsIcEENS_9allocatorIcEEEEiN4Rcpp12RObject_ImplINS6_15PreserveStorageEEES9_S9_S9_NS_6vectorIS5_NS3_IS5_EEEEi fun:readxl_read_xls_ fun:R_doDotCall } { Memcheck:Cond fun:__sfvwrite fun:__vfprintf fun:__v2printf fun:_vasprintf fun:asprintf fun:xls_getfcell fun:xls_addCell fun:xls_parseWorkSheet fun:_ZN12XlsWorkSheetC2E11XlsWorkBookiN4Rcpp6VectorILi13ENS1_15PreserveStorageEEEb fun:_ZN12XlsWorkSheetC1E11XlsWorkBookiN4Rcpp6VectorILi13ENS1_15PreserveStorageEEEb fun:_Z9read_xls_NSt3__112basic_stringIcNS_11char_traitsIcEENS_9allocatorIcEEEEiN4Rcpp12RObject_ImplINS6_15PreserveStorageEEES9_S9_S9_NS_6vectorIS5_NS3_IS5_EEEEi fun:readxl_read_xls_ } { Memcheck:Cond fun:_platform_memmove$VARIANT$Haswell fun:__sfvwrite fun:__vfprintf fun:__v2printf fun:_vasprintf fun:asprintf fun:xls_getfcell fun:xls_addCell fun:xls_parseWorkSheet fun:_ZN12XlsWorkSheetC2E11XlsWorkBookiN4Rcpp6VectorILi13ENS1_15PreserveStorageEEEb fun:_ZN12XlsWorkSheetC1E11XlsWorkBookiN4Rcpp6VectorILi13ENS1_15PreserveStorageEEEb fun:_Z9read_xls_NSt3__112basic_stringIcNS_11char_traitsIcEENS_9allocatorIcEEEEiN4Rcpp12RObject_ImplINS6_15PreserveStorageEEES9_S9_S9_NS_6vectorIS5_NS3_IS5_EEEEi } { Memcheck:Value8 fun:_platform_memmove$VARIANT$Haswell fun:__sfvwrite fun:__vfprintf fun:__v2printf fun:_vasprintf fun:asprintf fun:xls_getfcell fun:xls_addCell fun:xls_parseWorkSheet fun:_ZN12XlsWorkSheetC2E11XlsWorkBookiN4Rcpp6VectorILi13ENS1_15PreserveStorageEEEb fun:_ZN12XlsWorkSheetC1E11XlsWorkBookiN4Rcpp6VectorILi13ENS1_15PreserveStorageEEEb fun:_Z9read_xls_NSt3__112basic_stringIcNS_11char_traitsIcEENS_9allocatorIcEEEEiN4Rcpp12RObject_ImplINS6_15PreserveStorageEEES9_S9_S9_NS_6vectorIS5_NS3_IS5_EEEEi } { Memcheck:Cond fun:_vasprintf fun:asprintf fun:xls_getfcell fun:xls_addCell fun:xls_parseWorkSheet fun:_ZN12XlsWorkSheetC2E11XlsWorkBookiN4Rcpp6VectorILi13ENS1_15PreserveStorageEEEb fun:_ZN12XlsWorkSheetC1E11XlsWorkBookiN4Rcpp6VectorILi13ENS1_15PreserveStorageEEEb fun:_Z9read_xls_NSt3__112basic_stringIcNS_11char_traitsIcEENS_9allocatorIcEEEEiN4Rcpp12RObject_ImplINS6_15PreserveStorageEEES9_S9_S9_NS_6vectorIS5_NS3_IS5_EEEEi fun:readxl_read_xls_ fun:R_doDotCall fun:do_dotcall fun:Rf_eval } { Memcheck:Value8 fun:_vasprintf fun:asprintf fun:xls_getfcell fun:xls_addCell fun:xls_parseWorkSheet fun:_ZN12XlsWorkSheetC2E11XlsWorkBookiN4Rcpp6VectorILi13ENS1_15PreserveStorageEEEb fun:_ZN12XlsWorkSheetC1E11XlsWorkBookiN4Rcpp6VectorILi13ENS1_15PreserveStorageEEEb fun:_Z9read_xls_NSt3__112basic_stringIcNS_11char_traitsIcEENS_9allocatorIcEEEEiN4Rcpp12RObject_ImplINS6_15PreserveStorageEEES9_S9_S9_NS_6vectorIS5_NS3_IS5_EEEEi fun:readxl_read_xls_ fun:R_doDotCall fun:do_dotcall fun:Rf_eval } readxl/tests/testthat/0000755000176200001440000000000014760110262014532 5ustar liggesusersreadxl/tests/testthat/test-shared-string-table.R0000644000176200001440000000034114216663505021500 0ustar liggesusers## #293, #333 ## affects xls only test_that("shared strings are retrieved when there's >256 unique strings", { df <- read_excel(test_sheet("more-than-256-unique-strings-xls.xls")) expect_identical(df$var[257], "x257") }) readxl/tests/testthat/test-coercion.R0000644000176200001440000001014314216663505017443 0ustar liggesuserstest_that("contaminated, explicit logical is read as logical", { ## xls expect_snapshot( df <- read_excel( test_sheet("types.xls"), sheet = "logical_coercion", col_types = c("logical", "text") ) ) expect_true(is.logical(df$logical)) should_be_NA <- df$explanation %in% c("string not logical", "blank", "date") expect_false(anyNA(df$logical[!should_be_NA])) ## xlsx expect_snapshot( df <- read_excel( test_sheet("types.xlsx"), sheet = "logical_coercion", col_types = c("logical", "text") ) ) expect_true(is.logical(df$logical)) should_be_NA <- df$explanation %in% c("string not logical", "blank", "date") expect_false(anyNA(df$logical[!should_be_NA])) }) test_that("contaminated, explicit date is read as date", { ## xls expect_snapshot( df <- read_excel( test_sheet("types.xls"), sheet = "date_coercion", col_types = "date" ) ) expect_s3_class(df$date, "POSIXct") expect_false(anyNA(df$date[c(1, 5, 6, 7)])) expect_true(all(is.na(df$date[c(2, 3, 4)]))) expect_identical(df$date[6], as.POSIXct("2012-01-02 UTC", tz = "UTC")) ## xlsx expect_snapshot( df <- read_excel( test_sheet("types.xlsx"), sheet = "date_coercion", col_types = "date" ) ) expect_s3_class(df$date, "POSIXct") expect_false(anyNA(df$date[c(1, 5, 6, 7)])) expect_true(all(is.na(df$date[c(2, 3, 4)]))) expect_identical(df$date[6], as.POSIXct("2012-01-02 UTC", tz = "UTC")) }) test_that("contaminated, explicit numeric is read as numeric", { ## xls expect_snapshot( df <- read_excel( test_sheet("types.xls"), sheet = "numeric_coercion", col_types = "numeric" ) ) expect_true(is.numeric(df$numeric)) expect_false(anyNA(df$numeric[c(1, 2, 4, 7)])) expect_equal(df$numeric[2], 72) # "Number stored as text" ## xlsx expect_snapshot( df <- read_excel( test_sheet("types.xlsx"), sheet = "numeric_coercion", col_types = "numeric" ) ) expect_true(is.numeric(df$numeric)) expect_false(anyNA(df$numeric[c(1, 2, 4, 7)])) expect_equal(df$numeric[2], 72) # "Number stored as text" }) ## #75, #110: don't convert numbers to string a la "printf %lf" ## i.e. don't right pad to get 6 decimal places test_that("contaminated, explicit text is read as text", { ## xls df <- read_excel( test_sheet("types.xls"), sheet = "text_coercion", col_types = c("text", "text") ) expect_true(is.character(df$text)) expect_false(anyNA(df$explanation != "blank")) expect_identical(df$text[df$explanation == "floating point"], "1.3") expect_identical(df$text[df$explanation == "student number"], "36436153") ## xlsx df <- read_excel( test_sheet("types.xlsx"), sheet = "text_coercion", col_types = c("text", "text") ) expect_true(is.character(df$text)) expect_false(anyNA(df$explanation != "blank")) expect_identical(df$text[df$explanation == "floating point"], "1.3") expect_identical(df$text[df$explanation == "student number"], "36436153") }) test_that("integery-y numbers > 2^31 can be coerced to string", { xlsx <- read_excel(test_sheet("big-texty-numbers-xlsx.xlsx")) xls <- read_excel(test_sheet("big-texty-numbers-xls.xls")) expect_identical(xlsx, xls) expect_identical( xls[["number"]][-1], as.character( c(2^31 - 1, 2^31, 2^31 + 1, -1 * (2^31), -1 * (2^31 + 1)) ) ) }) ## https://github.com/tidyverse/readxl/issues/430 ## re: precision of datetimes converted to text test_that("datetimes agree up to certain precision when coerced to text", { xlsx <- read_excel(test_sheet("texty-dates-xlsx.xlsx"), col_types = "text") xls <- read_excel(test_sheet("texty-dates-xls.xls"), col_types = "text") xlsx <- sub("^.*\\.(.*)$", "\\1", xlsx$a) xls <- sub("^.*\\.(.*)$", "\\1", xls$a) ## it's hard to say how many digits of agreement we expect after the decimal ## we coerce to string for xls, whereas its out of our hands for xlsx, ## where the double comes to us as a string in the XML ## therefore, my choice is somewhat arbitrary xlsx <- substr(xlsx, 1, 8) xls <- substr(xls, 1, 8) expect_identical(xlsx, xls) }) readxl/tests/testthat/test-skipping.R0000644000176200001440000000617314216663505017476 0ustar liggesusersskipping_xlsx <- test_sheet("skipping.xlsx") skipping_xls <- test_sheet("skipping.xls") ref <- tibble::tribble( ~ var1, ~ var2, NA, NA, "v2,1", "v2,2", NA, NA, "v4,1", "v4,2" ) test_that("leading blank rows are implicitly skipped", { xlsx <- read_excel(skipping_xlsx, sheet = "two_blank_rows") xls <- read_excel(skipping_xls, sheet = "two_blank_rows") expect_identical(xlsx, ref) expect_identical(xls, ref) }) test_that("leading blank rows can be explicitly skipped", { xlsx <- read_excel(skipping_xlsx, sheet = "two_blank_rows", skip = 2) xls <- read_excel(skipping_xls, sheet = "two_blank_rows", skip = 2) expect_identical(xlsx, ref) expect_identical(xls, ref) }) test_that("leading blank rows can be implicitly AND explicitly skipped", { xlsx <- read_excel(skipping_xlsx, sheet = "two_blank_rows", skip = 1) xls <- read_excel(skipping_xls, sheet = "two_blank_rows", skip = 1) expect_identical(xlsx, ref) expect_identical(xls, ref) }) test_that("failure to skip junk leads to garbage df but no error", { out <- read_excel(skipping_xlsx, sheet = "occupied_row_and_blank_row") expect_identical(out$`blah blah`, c(NA, "var1", NA, "v2,1", NA, "v4,1")) expect_identical(out[[2]], c(NA, "var2", NA, "v2,2", NA, "v4,2")) out <- read_excel(skipping_xls, sheet = "occupied_row_and_blank_row") expect_identical(out$`blah blah`, c(NA, "var1", NA, "v2,1", NA, "v4,1")) expect_identical(out[[2]], c(NA, "var2", NA, "v2,2", NA, "v4,2")) out <- read_excel(skipping_xlsx, sheet = "two_occupied_rows") expect_identical(out$`blah blah`, c(NA, "var1", NA, "v2,1", NA, "v4,1")) expect_identical(out[[2]], c("yada yada", "var2", NA, "v2,2", NA, "v4,2")) out <- read_excel(skipping_xls, sheet = "two_occupied_rows") expect_identical(out$`blah blah`, c(NA, "var1", NA, "v2,1", NA, "v4,1")) expect_identical(out[[2]], c("yada yada", "var2", NA, "v2,2", NA, "v4,2")) out <- read_excel(skipping_xlsx, sheet = "two_occupied_rows", skip = 1) expect_identical(out[[1]], c("var1", NA, "v2,1", NA, "v4,1")) expect_identical(out$`yada yada`, c("var2", NA, "v2,2", NA, "v4,2")) out <- read_excel(skipping_xls, sheet = "two_occupied_rows", skip = 1) expect_identical(out[[1]], c("var1", NA, "v2,1", NA, "v4,1")) expect_identical(out$`yada yada`, c("var2", NA, "v2,2", NA, "v4,2")) }) test_that("explicit skip of leading junk, implicit skip of blank rows", { xlsx <- read_excel(skipping_xlsx, sheet = "occupied_row_and_blank_row", skip = 1) xls <- read_excel(skipping_xls, sheet = "occupied_row_and_blank_row", skip = 1) expect_identical(xlsx, ref) expect_identical(xls, ref) }) test_that("explicit skip of leading junk and blank rows", { xlsx <- read_excel(skipping_xlsx, sheet = "occupied_row_and_blank_row", skip = 2) xls <- read_excel(skipping_xls, sheet = "occupied_row_and_blank_row", skip = 2) expect_identical(xlsx, ref) expect_identical(xls, ref) }) test_that("explicit skip of leading junk", { xlsx <- read_excel(skipping_xlsx, sheet = "two_occupied_rows", skip = 2) xls <- read_excel(skipping_xls, sheet = "two_occupied_rows", skip = 2) expect_identical(ref, xlsx) expect_identical(ref, xls) }) readxl/tests/testthat/test-dates.R0000644000176200001440000000757314402517375016757 0ustar liggesuserstest_that("dates respect worksheet date setting", { nms <- paste0("X", 1:5) d1900 <- read_xls(test_sheet("dates-1900.xls"), col_names = nms) d1904 <- read_xls(test_sheet("dates-1904.xls"), col_names = nms) d1900loo <- read_xlsx(test_sheet("dates-1900-LibreOffice.xlsx"), col_names = nms) expect_equal(d1900, d1904) expect_equal(d1900, d1900loo) expect_equal(d1900$X1, ISOdate(2000, 01, 01, 0, tz = "UTC")) }) ## #187 Date/times missing a second test_that("date subsecond rounding works [xlsx]", { df <- read_excel(test_sheet("datetime-rounding.xlsx")) expect_identical(as.character(df$dttm), df$dttm_string) }) test_that("date subsecond rounding works [xls]", { df <- read_excel(test_sheet("datetime-rounding.xls")) expect_identical(as.character(df$dttm), df$dttm_string) }) ## Lotus 1-2-3 leap year bug ---- ## #264, #148 test_that("we get correct dates prior to March 1, 1900, in 1900 date system [xlsx]", { expect_snapshot( df <- read_excel( test_sheet("dates-leap-year-1900-xlsx.xlsx"), col_types = c("date", "text", "logical") ) ) dttms <- as.POSIXct(df$dttm_string, format = "%Y-%m-%d %H:%M:%S", tz = "UTC") leap_day <- df$dttm_string == "1900-02-29 08:00:00" expect_identical(df$dttm[!leap_day], dttms[!leap_day]) expect_true(is.na(df$dttm[leap_day])) }) ## Lotus 1-2-3 leap year bug ## #264, #148 test_that("we get correct dates prior to March 1, 1900, in 1900 date system [xls]", { expect_snapshot( df <- read_excel( test_sheet("dates-leap-year-1900-xls.xls"), col_types = c("date", "text", "logical") ) ) dttms <- as.POSIXct(df$dttm_string, format = "%Y-%m-%d %H:%M:%S", tz = "UTC") leap_day <- df$dttm_string == "1900-02-29 08:00:00" expect_identical(df$dttm[!leap_day], dttms[!leap_day]) expect_true(is.na(df$dttm[leap_day])) }) # https://github.com/tidyverse/readxl/issues/388 test_that("colors in number formats aren't misinterpreted as dates", { # # # # # # # # # # expect_no_warning( # rather than "Expecting numeric in A1 / R1C1: got a date" etc. read_xlsx( test_sheet("color-date-xlsx.xlsx"), col_names = "X1", col_types = "numeric" ) ) expect_no_warning( # rather than "Expecting numeric in A1 / R1C1: got a date" read_xls( test_sheet("color-date-xls.xls"), col_names = "X1", col_types = "numeric" ) ) # # # # # # # # # # expect_no_warning( # rather than "Expecting numeric in A1 / R1C1: got a date" read_xlsx( test_sheet("color-date-lowercase-xlsx.xlsx"), col_names = "X1", col_types = "numeric" ) ) }) # https://github.com/tidyverse/readxl/issues/633 test_that("Swiss Francs (CHF) aren't misinterpreted as dates", { # # # # dat <- read_xlsx(test_sheet("currency-formats-xlsx.xlsx")) expect_true(is.numeric(dat$cost_EUR)) expect_true(is.numeric(dat$cost_CHF)) expect_true(is.numeric(dat$cost_mixed)) }) readxl/tests/testthat/test-example.R0000644000176200001440000000055214216663505017300 0ustar liggesuserstest_that("NULL path returns names of example files", { example_files <- readxl_example() expect_true("datasets.xls" %in% example_files) expect_true("datasets.xlsx" %in% example_files) expect_true(is.character(example_files)) }) test_that("providing example file name returns full path", { expect_true(file.exists(readxl_example("datasets.xlsx"))) }) readxl/tests/testthat/test-trim-ws.R0000644000176200001440000000506414402521306017237 0ustar liggesuserstest_that("trim_ws is default and it works", { ## data xls <- read_excel(test_sheet("whitespace-xls.xls"), col_names = FALSE) xlsx <- read_excel(test_sheet("whitespace-xlsx.xlsx"), col_names = FALSE) expect_identical(xls[[1]], trimws(xls[[1]])) expect_identical(xlsx[[1]], trimws(xlsx[[1]])) ## the 4th cell is "\t \t" ## xls reports this but xlsx does not ## does xlsx return "" for cells containing only whitespace? expect_identical(xls[[1]], xlsx[[1]]) ## column names xls <- read_excel(test_sheet("whitespace-xls.xls")) xlsx <- read_excel(test_sheet("whitespace-xlsx.xlsx")) expect_identical(names(xls), trimws(names(xls))) expect_identical(names(xlsx), trimws(names(xlsx))) expect_identical(names(xls), names(xlsx)) }) test_that("trim_ws = FALSE preserves whitespace", { ## data xls <- read_excel( test_sheet("whitespace-xls.xls"), col_names = FALSE, trim_ws = FALSE ) xlsx <- read_excel( test_sheet("whitespace-xlsx.xlsx"), col_names = FALSE, trim_ws = FALSE ) expect_false(identical(xls[[1]], trimws(xls[[1]]))) expect_false(identical(xlsx[[1]], trimws(xlsx[[1]]))) ## I have a whitespace-only cell with contents: "\t \t" ## which survives import from xls, but not from xlsx ws_only <- grepl("^\\s*$", xls[[1]]) expect_identical(xls[[1]][!ws_only], xlsx[[1]][!ws_only]) ## column names xls <- read_excel(test_sheet("whitespace-xls.xls"), trim_ws = FALSE) xlsx <- read_excel(test_sheet("whitespace-xlsx.xlsx"), trim_ws = FALSE) expect_false(identical(names(xls), trimws(names(xls)))) expect_false(identical(names(xlsx), trimws(names(xlsx)))) expect_identical(names(xls), names(xlsx)) }) test_that("whitespace-flanked na strings match when trim_ws = TRUE", { xls <- read_excel( test_sheet("whitespace-xls.xls"), sheet = "logical_and_NA", na = ":-)" ) xlsx <- read_excel( test_sheet("whitespace-xlsx.xlsx"), sheet = "logical_and_NA", na = ":-)" ) expect_true(is.numeric(xls$numeric)) expect_true(is.numeric(xlsx$numeric)) expect_true(is.na(xls[[2, 1]])) expect_true(is.na(xlsx[[2, 1]])) }) test_that("whitespace-flanked na strings do not match when trim_ws = FALSE", { xls <- read_excel( test_sheet("whitespace-xls.xls"), sheet = "logical_and_NA", na = ":-)", trim_ws = FALSE ) xlsx <- read_excel( test_sheet("whitespace-xlsx.xlsx"), sheet = "logical_and_NA", na = ":-)", trim_ws = FALSE ) expect_true(is.character(xls$numeric)) expect_true(is.character(xlsx$numeric)) expect_identical(xls[[2, 1]], " :-) ") expect_identical(xlsx[[2, 1]], " :-) ") }) readxl/tests/testthat/test-n-max.R0000644000176200001440000001034314216663505016664 0ustar liggesuserstest_that("simple use of n_max works and does not affect col name reading", { ## xlsx df <- read_excel(test_sheet("iris-excel-xlsx.xlsx"), n_max = 1) expect_identical(nrow(df), 1L) df <- read_excel(test_sheet("iris-excel-xlsx.xlsx"), n_max = 0) expect_identical(nrow(df), 0L) expect_identical(ncol(df), 5L) expect_identical(names(df), names(iris)) ## xls df <- read_excel(test_sheet("iris-excel-xls.xls"), n_max = 1) expect_identical(nrow(df), 1L) df <- read_excel(test_sheet("iris-excel-xls.xls"), n_max = 0) expect_identical(nrow(df), 0L) expect_identical(ncol(df), 5L) expect_identical(names(df), names(iris)) }) test_that("n_max = 0 and col_names = FALSE gives empty tibble", { ## xlsx df <- read_excel( test_sheet("skipping.xlsx"), sheet = "two_occupied_rows", n_max = 0, col_names = FALSE ) expect_identical(df, tibble::tibble()) ## xls df <- read_excel( test_sheet("skipping.xls"), sheet = "two_occupied_rows", n_max = 0, col_names = FALSE ) expect_identical(df, tibble::tibble()) }) test_that("n_max is upper bound on nrows, if it causes trailing blank row", { ## xlsx df <- read_excel( test_sheet("skipping.xlsx"), sheet = "two_occupied_rows", n_max = 3 ) expect_identical(nrow(df), 2L) ## xls df <- read_excel( test_sheet("skipping.xls"), sheet = "two_occupied_rows", n_max = 3 ) expect_identical(nrow(df), 2L) }) test_that("n_max can affect ncols, if prevents read of data in a col [xlsx]", { ## xlsx df <- read_excel( test_sheet("skipping.xlsx"), sheet = "two_occupied_rows", n_max = 0 ) expect_identical(nrow(df), 0L) expect_identical(ncol(df), 1L) df <- read_excel( test_sheet("skipping.xlsx"), sheet = "two_occupied_rows", skip = 1, n_max = 0 ) expect_identical(nrow(df), 0L) expect_identical(ncol(df), 1L) }) test_that("n_max can affect ncols, if prevents read of data in a col [xls]", { ## xls df <- read_excel( test_sheet("skipping.xls"), sheet = "two_occupied_rows", n_max = 0 ) expect_identical(nrow(df), 0L) expect_identical(ncol(df), 1L) df <- read_excel( test_sheet("skipping.xls"), sheet = "two_occupied_rows", skip = 1, n_max = 0 ) expect_identical(nrow(df), 0L) expect_identical(ncol(df), 1L) }) test_that("n_max = nrows in dense sheet when col_names = FALSE", { ## xlsx df <- read_excel(test_sheet("iris-excel-xlsx.xlsx"), n_max = 18, col_names = FALSE) expect_identical(nrow(df), 18L) ## xls df <- read_excel(test_sheet("iris-excel-xls.xls"), n_max = 18, col_names = FALSE) expect_identical(nrow(df), 18L) }) test_that("n_max directive survives implicit skipping of empty rows [xlsx]", { ## col_names = TRUE explicit <- read_excel(test_sheet("geometry.xlsx"), skip = 2, n_max = 1) implicit_skip_all <- read_excel(test_sheet("geometry.xlsx"), n_max = 1) mixed_skip <- read_excel(test_sheet("geometry.xlsx"), skip = 1, n_max = 1) expect_identical(explicit, implicit_skip_all) expect_identical(explicit, mixed_skip) ## col_names = FALSE explicit <- read_excel(test_sheet("geometry.xlsx"), skip = 2, n_max = 1, col_names = FALSE) implicit_skip_all <- read_excel(test_sheet("geometry.xlsx"), n_max = 1, col_names = FALSE) mixed_skip <- read_excel(test_sheet("geometry.xlsx"), skip = 1, n_max = 1, col_names = FALSE) expect_identical(explicit, implicit_skip_all) expect_identical(explicit, mixed_skip) }) test_that("n_max directive survives implicit skipping of empty rows [xls]", { ## col_names = TRUE explicit <- read_excel(test_sheet("geometry.xls"), skip = 2, n_max = 1) implicit_skip_all <- read_excel(test_sheet("geometry.xls"), n_max = 1) mixed_skip <- read_excel(test_sheet("geometry.xls"), skip = 1, n_max = 1) expect_identical(explicit, implicit_skip_all) expect_identical(explicit, mixed_skip) ## col_names = FALSE explicit <- read_excel(test_sheet("geometry.xls"), skip = 2, n_max = 1, col_names = FALSE) implicit_skip_all <- read_excel(test_sheet("geometry.xls"), n_max = 1, col_names = FALSE) mixed_skip <- read_excel(test_sheet("geometry.xls"), skip = 1, n_max = 1, col_names = FALSE) expect_identical(explicit, implicit_skip_all) expect_identical(explicit, mixed_skip) }) readxl/tests/testthat/test-sheets.R0000644000176200001440000000467614402521171017140 0ustar liggesuserstest_that("informative error when requesting non-existent sheet by name", { expect_snapshot( error = TRUE, read_excel(test_sheet("iris-excel-xlsx.xlsx"), sheet = "tulip") ) expect_snapshot( error = TRUE, read_excel(test_sheet("iris-excel-xlsx.xlsx"), range = "tulip!A1:A1") ) }) test_that("informative error when requesting non-existent sheet by position", { expect_snapshot( error = TRUE, read_excel(test_sheet("iris-excel-xlsx.xlsx"), sheet = 2) ) expect_snapshot( error = TRUE, read_excel(test_sheet("iris-excel-xls.xls"), sheet = 2) ) }) test_that("invalid sheet values caught", { expect_snapshot( error = TRUE, read_excel(test_sheet("iris-excel-xlsx.xlsx"), sheet = 0) ) expect_snapshot( error = TRUE, read_excel(test_sheet("iris-excel-xlsx.xlsx"), sheet = rep(1L, 2)) ) }) test_that("sheet can be parsed out of range", { direct <- read_excel(test_sheet("iris-excel-xlsx.xlsx"), sheet = "iris", range = "A1:A1") indirect <- read_excel(test_sheet("iris-excel-xlsx.xlsx"), range = "iris!A1:A1") expect_identical(direct, indirect) }) test_that("double specification of sheet generates message and range wins", { expect_snapshot( double <- read_excel( test_sheet("sheet-xml-lookup.xlsx"), sheet = "Asia", range = "Oceania!A1:A1" ) ) ref <- read_excel(test_sheet("sheet-xml-lookup.xlsx"), range = "Oceania!A1:A1") expect_identical(double, ref) }) test_that("sheet data xml target is explicitly looked up (#104, #80)", { xlsx <- test_sheet("sheet-xml-lookup.xlsx") countries <- excel_sheets(xlsx) ## what's important about this workbook? ## xml target for worksheet i is NOT sheeti.xml ## name Id Target ## ## 1 Africa rId3 xl/worksheets/sheet4.xml ## 2 Americas rId4 xl/worksheets/sheet3.xml ## 3 Asia rId5 xl/worksheets/sheet5.xml ## 4 Europe rId6 xl/worksheets/sheet1.xml ## 5 Oceania rId7 xl/worksheets/sheet2.xml ## tests that we find xml target like so: (name ->) i -> Id -> Target ## embedded-chartsheet.xlsx has an embedded chartsheet but I see no ## current reason to explicitly test (#116, #200) for (cty in countries) { df <- read_excel(xlsx, sheet = cty) expect_identical(df$continent[1], cty) } for (i in seq_along(countries)) { df <- read_excel(xlsx, sheet = i) expect_identical(df$continent[1], countries[i]) } }) readxl/tests/testthat/helper.R0000644000176200001440000000015114370772155016145 0ustar liggesusers## usage: ## test_sheet("blanks.xls") test_sheet <- function(fname) testthat::test_path("sheets", fname) readxl/tests/testthat/test-problems.R0000644000176200001440000000144214402517710017460 0ustar liggesuserstest_that("coercion warnings report correct address", { ## xlsx expect_snapshot( read_excel( test_sheet("geometry.xlsx"), sheet = "warning_B6", col_types = "numeric" ) ) expect_snapshot( read_excel( test_sheet("geometry.xlsx"), sheet = "warning_AT6", col_types = "numeric" ) ) expect_snapshot( read_excel( test_sheet("geometry.xlsx"), sheet = "warning_AKE6", col_types = "numeric" ) ) ## xls expect_snapshot( read_excel( test_sheet("geometry.xls"), sheet = "warning_B6", col_types = "numeric" ) ) expect_snapshot( read_excel( test_sheet("geometry.xls"), sheet = "warning_AT6", col_types = "numeric" ) ) ## xls column max is 256, so we're done }) readxl/tests/testthat/test-xml-namespaces.R0000644000176200001440000000136514216663505020565 0ustar liggesusers## #268, #202, #80 ## what is special about nonstandard-xml-ns-prefix.xlsx? ## note `ns:id="rId3"` vs `r:id="rId3"` ## `ns:id` has been seen in xlsx written by 3rd party tools ## `r:id` is typical of files written by Excel # # # # # # # # # test_that("XML namespace prefixes are stripped", { df <- read_excel(test_sheet("nonstandard-xml-ns-prefix.xlsx")) exp <- tibble::tibble( a = c(1, 2), b = c(3, 4) ) expect_identical(df, exp) }) readxl/tests/testthat/test-richtext.R0000644000176200001440000000166314216663505017503 0ustar liggesuserstest_that("rich text strings are handled in stringtable", { rt <- read_excel(test_sheet("richtext-coloured.xlsx"), col_names = FALSE) for (i in 1:4) { expect_equal(rt[[1, i]], "abcd") } expect_equal(rt[[2, 1]], "tvalrval1rval2") for (i in 2:4) { expect_equal(rt[[2, i]], "rval1rval2") } }) test_that("rich text inside inlineStr", { # Original source: http://our.componentone.com/wp-content/uploads/2011/12/TestExcel.xlsx # Modified to have Excel-safe mixed use of and x <- read_excel(test_sheet("inlineStr2.xlsx")) expect_equal(x$ID, "RQ11610") expect_equal(names(x)[1], "NNNN") expect_equal(names(x)[2], "BeforeHierarchy") }) test_that("strings containing escaped hexcodes are read", { df <- read_excel(test_sheet("new_line_errors.xlsx")) expect_false(grepl("_x000D_", df[1, 1])) expect_equal(substring(df[1, 1], 20, 21), "\u000d\r") expect_equal(substring(df[2, 1], 11, 19), "\"_x000D_\"") }) readxl/tests/testthat/sheets/0000755000176200001440000000000014343565124016035 5ustar 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Nc~<_~|%޳d scQ|z ՋI ?L+yslg2试%t ݂("H>&iz`=jr~Ca}9Bf *<+Xs9up-55٦Y ]{fz~Q_ۧs.զm%LnkBpVPeل1ñA"uE R--(_aw;Ln4|^'~,ˮ3w[,Os/__NE;MCI7ZKl | A6y4c^'4Q]EnFwFs)MWuiúnq͑2M5E!e^J>g6A6} ;׃n=LZZUR\^qfn3y{1vW?ۯ#RAϝsbOGq|\38 %g~YFwzql"\a0L C+,C13M+ɱH[`tiV1D61}DbpP,SCaXJ;}]miZZ6ZŒm/*(&a }#o)nI19e RFp]=Rb!R 4mj:\ *'} b+zKUx Txba@ᵬc;nQ!t0xT!:iEg$gHlf}Ő;GzqId?t6;_s6z]{@HPFГ~Һ4H?>{ `464s&ṭ?mPRb4(2nb4xE+,o]3cAv#NWIL__</^?ڙ޸YtsO/ǭLe?5s|A)𭼰qUĥ(w1~̕G-C;/Fs@?i l\U4Uh%T*UQ&,q݉VhY:x~})g{!J{$B@(&+%&gܡ[J䝛}tD|2H6Tjv{Zo w+;3g?0(}H!Rv@0?nt~L0w; ?%D 1E2EwE+||9lIUЍT~ndCZ̋Inw0|g8gb|6S>cf֗͏/JOWUX rce$e'W<_g}~>.I3fnkF a2pZZ/(zMp)#)STorz_,GQ>gjߴ5S[ݪ;m΁oקg=|D7{= n-<@OirTh Lh1eFeTF^hc3,Lp)Z(s$1(+M!ЗvsR+;&!л^*U Q&M3#3|Ha -%5CqGy՜TZtY7XDq k0$sXؖZ)FԵM|P.c0h`{ 6=Do0E ԅ V*ޔ[IfP/ i>4{@a'oPK΄WEɛ[Content_Types].xml (J0_*Mi@Hm#3]G̶RDE)$3&G-߰K^ a#u ۵1cx+D"\Br6"J=*xO% read nothing l <- standardise_limits(range = NULL, skip = 0, n_max = 0, has_col_names = FALSE) expect_identical(l, limitize(c(-2, -1, -1, -1))) ## min_row max_row min_col max_col ## -2 -1 -1 -1 ## it should not matter what skip is l2 <- standardise_limits( range = NULL, skip = sample(1:100, 1), n_max = 0, has_col_names = FALSE ) expect_identical(l, l2) }) test_that("we can request exactly 1 row for col_names via n_max and col_names", { my_skip <- sample(0:100, 1) l <- standardise_limits(range = NULL, skip = my_skip, n_max = 0, has_col_names = TRUE) expect_identical(l, limitize(c(my_skip, my_skip, -1, -1))) }) test_that("we can request n rows for data via n_max and skip doesn't matter", { my_skip <- sample(0:100, 1) n <- sample(1:100, 1) l <- standardise_limits(range = NULL, skip = my_skip, n_max = n, has_col_names = TRUE) expect_identical(l, limitize(c(my_skip, my_skip + n, -1, -1))) my_skip <- sample(0:100, 1) n <- sample(1:100, 1) l <- standardise_limits(range = NULL, skip = my_skip, n_max = n, has_col_names = FALSE) expect_identical(l, limitize(c(my_skip, my_skip + n - 1, -1, -1))) }) ## testing via read_excel() ------------------------------------------- test_that("geometry sheet is identical in xls and xlsx and shrink wraps by default", { ref <- tibble::tibble( var1 = c("aa", "dd", "gg"), var2 = c("bb", "ee", "hh"), var3 = c("cc", "ff", "ii") ) xls <- read_excel(test_sheet("geometry.xls")) xlsx <- read_excel(test_sheet("geometry.xlsx")) expect_identical(xls, xlsx) expect_identical(xls, ref) }) ## at time of writing, clippy/geometry.key contains useful sketches ## for choosing test cases ## they are not comprehensive, but cover a very large number of scenarios test_that("exact range request for data rectangle works", { ref <- tibble::tibble( var1 = c("aa", "dd", "gg"), var2 = c("bb", "ee", "hh"), var3 = c("cc", "ff", "ii") ) xls <- read_excel(test_sheet("geometry.xls"), range = "B3:D6") xlsx <- read_excel(test_sheet("geometry.xlsx"), range = "B3:D6") expect_identical(xls, xlsx) expect_identical(xls, ref) }) test_that("range request for proper subset of data rectangle works", { ref <- tibble::tibble( var1 = c("aa"), var2 = c("bb") ) xls <- read_excel(test_sheet("geometry.xls"), range = "B3:C4") xlsx <- read_excel(test_sheet("geometry.xlsx"), range = "B3:C4") expect_identical(xls, xlsx) expect_identical(xls, ref) }) test_that("range requests that run off one or more edges of data rectangle work", { ## all four edges xls <- read_excel(test_sheet("geometry.xls"), range = "A2:E7") xlsx <- read_excel(test_sheet("geometry.xlsx"), range = "A2:E7") expect_identical(xls, xlsx) expect_identical(dim(xls), c(5L, 5L)) ## top edge only, partial xls <- read_excel(test_sheet("geometry.xls"), range = "B2:C3") xlsx <- read_excel(test_sheet("geometry.xlsx"), range = "B2:C3") expect_identical(xls, xlsx) expect_identical(dim(xls), c(1L, 2L)) ## top and right, partial xls <- read_excel(test_sheet("geometry.xls"), range = "D2:E3") xlsx <- read_excel(test_sheet("geometry.xlsx"), range = "D2:E3") expect_identical(xls, xlsx) expect_identical(dim(xls), c(1L, 2L)) ## right edge only, partial xls <- read_excel(test_sheet("geometry.xls"), range = "C4:E5") xlsx <- read_excel(test_sheet("geometry.xlsx"), range = "C4:E5") expect_identical(xls, xlsx) expect_identical(dim(xls), c(1L, 3L)) ## left and right edges, partial xls <- read_excel(test_sheet("geometry.xls"), range = "A4:E5") xlsx <- read_excel(test_sheet("geometry.xlsx"), range = "A4:E5") expect_identical(xls, xlsx) expect_identical(dim(xls), c(1L, 5L)) ## left and bottom edges, partial xls <- read_excel(test_sheet("geometry.xls"), range = "A6:B7") xlsx <- read_excel(test_sheet("geometry.xlsx"), range = "A6:B7") expect_identical(xls, xlsx) expect_identical(dim(xls), c(1L, 2L)) }) test_that("requests that use cell_rows() only work", { ## rows are within the data xls <- read_excel(test_sheet("geometry.xls"), range = cell_rows(2:3)) xlsx <- read_excel(test_sheet("geometry.xlsx"), range = cell_rows(2:3)) expect_identical(xls, xlsx) expect_identical(dim(xls), c(1L, 3L)) ## rows run past the data xls <- read_excel(test_sheet("geometry.xls"), range = cell_rows(3:7)) xlsx <- read_excel(test_sheet("geometry.xlsx"), range = cell_rows(3:7)) expect_identical(xls, xlsx) expect_identical(dim(xls), c(4L, 3L)) ## rows start before the data xls <- read_excel(test_sheet("geometry.xls"), range = cell_rows(1:4)) xlsx <- read_excel(test_sheet("geometry.xlsx"), range = cell_rows(1:4)) expect_identical(xls, xlsx) expect_identical(dim(xls), c(3L, 3L)) ## rows start before and run past the data xls <- read_excel(test_sheet("geometry.xls"), range = cell_rows(1:7)) xlsx <- read_excel(test_sheet("geometry.xlsx"), range = cell_rows(1:7)) expect_identical(xls, xlsx) expect_identical(dim(xls), c(6L, 3L)) ## unspecified upper row bound xls <- read_excel(test_sheet("geometry.xls"), range = cell_rows(c(3, NA))) xlsx <- read_excel(test_sheet("geometry.xlsx"), range = cell_rows(c(3, NA))) expect_identical(xls, xlsx) expect_identical(dim(xls), c(3L, 3L)) ## unspecified lower bound not relevant because cellranger handles }) test_that("requests that use cell_cols() only work", { ## cols are within the data xls <- read_excel(test_sheet("geometry.xls"), range = cell_cols(2:3)) xlsx <- read_excel(test_sheet("geometry.xlsx"), range = cell_cols(2:3)) expect_identical(xls, xlsx) expect_identical(dim(xls), c(3L, 2L)) ## cols run past the data xls <- read_excel(test_sheet("geometry.xls"), range = cell_cols(2:5)) xlsx <- read_excel(test_sheet("geometry.xlsx"), range = cell_cols(2:5)) expect_identical(xls, xlsx) expect_identical(dim(xls), c(3L, 4L)) ## cols start before the data xls <- read_excel(test_sheet("geometry.xls"), range = cell_cols(1:3)) xlsx <- read_excel(test_sheet("geometry.xlsx"), range = cell_cols(1:3)) expect_identical(xls, xlsx) expect_identical(dim(xls), c(3L, 3L)) ## cols start before and run past the data xls <- read_excel(test_sheet("geometry.xls"), range = cell_cols(1:5)) xlsx <- read_excel(test_sheet("geometry.xlsx"), range = cell_cols(1:5)) expect_identical(xls, xlsx) expect_identical(dim(xls), c(3L, 5L)) ## unspecified upper col bound xls <- read_excel(test_sheet("geometry.xls"), range = cell_cols(c(3, NA))) xlsx <- read_excel(test_sheet("geometry.xlsx"), range = cell_cols(c(3, NA))) expect_identical(xls, xlsx) expect_identical(dim(xls), c(3L, 2L)) ## unspecified lower bound not relevant because cellranger handles }) test_that("open rectangles work", { ## only worth testing openness on right and bottom ## cellranger handles openness on left and top ## open on bottom lims <- cell_limits(c(5, 3), c(NA, 5)) xls <- read_excel(test_sheet("geometry.xls"), range = lims) xlsx <- read_excel(test_sheet("geometry.xlsx"), range = lims) expect_identical(xls, xlsx) expect_identical(dim(xls), c(1L, 3L)) ## open on right lims <- cell_limits(c(3, 3), c(5, NA)) xls <- read_excel(test_sheet("geometry.xls"), range = lims) xlsx <- read_excel(test_sheet("geometry.xlsx"), range = lims) expect_identical(xls, xlsx) expect_identical(dim(xls), c(2L, 2L)) ## open on bottom and right lims <- cell_limits(c(4, 3), c(NA, NA)) xls <- read_excel(test_sheet("geometry.xls"), range = lims) xlsx <- read_excel(test_sheet("geometry.xlsx"), range = lims) expect_identical(xls, xlsx) expect_identical(dim(xls), c(2L, 2L)) }) readxl/tests/testthat/test-missing-values.R0000644000176200001440000001123614216663505020614 0ustar liggesuserstest_that("blanks in different rows read as missing [xlsx]", { blanks <- read_excel(test_sheet("blanks.xlsx"), sheet = "different_rows") expect_equal(blanks$x, c(NA, 1)) expect_equal(blanks$y, c("a", NA)) }) test_that("blanks read as missing [xls]", { blanks <- read_excel(test_sheet("blanks.xls"), sheet = "different_rows") expect_equal(blanks$x, c(NA, 1)) expect_equal(blanks$y, c("a", NA)) }) test_that("blanks in same middle row are read as missing [xlsx]", { blanks <- read_excel(test_sheet("blanks.xlsx"), sheet = "same_row_middle") expect_equal(blanks$x, c(1, NA, 2)) expect_equal(blanks$y, c("a", NA, "b")) }) test_that("blanks in same middle row are read as missing [xls]", { blanks <- read_excel(test_sheet("blanks.xls"), sheet = "same_row_middle") expect_equal(blanks$x, c(1, NA, 2)) expect_equal(blanks$y, c("a", NA, "b")) }) test_that("blanks in same, first row are read as missing [xlsx]", { blanks <- read_excel(test_sheet("blanks.xlsx"), sheet = "same_row_first") expect_equal(blanks$x, c(NA, 1)) expect_equal(blanks$y, c(NA, "a")) }) test_that("blanks in same, first row are read as missing [xls]", { blanks <- read_excel(test_sheet("blanks.xls"), sheet = "same_row_first") expect_equal(blanks$x, c(NA, 1)) expect_equal(blanks$y, c(NA, "a")) }) test_that("By default, NA read as text", { df <- read_xls(test_sheet("missing-values-xls.xls")) expect_equal(df$x, c("NA", "1", "2")) }) test_that("na arg can be used to map 'NA' to NA [xls]", { df <- read_excel(test_sheet("missing-values-xls.xls"), na = "NA") expect_equal(df$x, c(NA, 1, 2)) expect_equal(df$y, c(NA, 1, 2)) # formula column }) test_that("na arg can be used to map 'NA' to NA [xlsx]", { df <- read_excel(test_sheet("missing-values-xlsx.xlsx"), na = "NA") expect_equal(df$x, c(NA, 1, 2)) expect_equal(df$y, c(NA, 1, 2)) # formula column }) ## #401 make sure check against NA strings is done after shared string table ## lookup for affected cells vs. on the index into the shared string table test_that("na arg works with multiple strings and for shared strings [xlsx]", { df <- read_excel( test_sheet("numbers-as-na-and-shared-strings-xlsx.xlsx"), na = c("1", "d") ) ## shared string table is: ## sst[0] = "a" ## sst[1] = "b" <-- make sure this does not become NA! ## sst[2] = "c" ## sst[3] = "d" expect_identical(df, tibble::tribble( ~a, ~c, "b", NA )) }) test_that("na arg works with multiple strings and for shared strings [xls]", { df <- read_excel( test_sheet("numbers-as-na-and-shared-strings-xls.xls"), na = c("1", "d") ) expect_identical(df, tibble::tribble( ~a, ~c, "b", NA )) }) test_that("empty first column gives valid data.frame [xls]", { df <- read_excel(test_sheet("missing-first-column.xls"), col_names = FALSE) expect_s3_class(df, "tbl_df") expect_identical(dim(df), c(3L, 1L)) }) test_that("empty first column gives valid data.frame [xlsx]", { df <- read_excel(test_sheet("missing-first-column.xlsx"), col_names = FALSE) expect_s3_class(df, "tbl_df") expect_identical(dim(df), c(3L, 1L)) }) test_that("empty named column gives NA column", { df1 <- read_excel(test_sheet("empty-named-column.xlsx"), col_names = TRUE) df2 <- read_excel(test_sheet("empty-named-column.xls"), col_names = TRUE) expect_equal(ncol(df1), 4) expect_equal(names(df1)[2], "y") expect_true(all(is.na(df1$y))) expect_true(all(is.logical(df1$y))) expect_equal(ncol(df2), 4) expect_equal(names(df2)[2], "y") expect_true(all(is.na(df2$y))) expect_true(all(is.logical(df2$y))) }) test_that("empty (styled) cells are not loaded, but can survive as NA [xlsx]", { ## what's important about this sheet? ## contains empty cells with a custom format ## therefore they appear in the xml and have a style attribute ## where are they? ## in the embedded empty columns, w/ and w/o a name ## in a trailing empty column WHICH SHOULD BE DROPPED ## in some trailing rows WHICH SHOULD BE DROPPED out <- read_excel(test_sheet("style-only-cells.xlsx")) df <- tibble::tibble( var1 = c("val1,1", "val2,1", "val3,1"), var2 = NA, var3 = c("aa", "bb", "cc"), var4 = NA, var5 = c(1, 2, 3) ) ## this is not a test re: column names; be robust to tibble version names(out)[4] <- "var4" expect_equal(out, df) }) test_that("empty (styled) cells are not loaded, but can survive as NA [xls]", { out <- read_excel(test_sheet("style-only-cells.xls")) df <- tibble::tibble( var1 = c("val1,1", "val2,1", "val3,1"), var2 = NA, var3 = c("aa", "bb", "cc"), var4 = NA, var5 = c(1, 2, 3) ) ## this is not a test re: column names; be robust to tibble version names(out)[4] <- "var4" expect_equal(out, df) }) readxl/tests/testthat/test-return.R0000644000176200001440000000100014216663505017151 0ustar liggesuserstest_that("return type for xlsx files", { types <- read_excel(test_sheet("missing-values-xlsx.xlsx")) expect_s3_class(types, "tbl_df") expect_s3_class(types, "tbl") expect_s3_class(types, "data.frame") expect_false(tibble::has_rownames(types)) }) test_that("return type for xls files", { types <- read_excel(test_sheet("missing-values-xls.xls")) expect_s3_class(types, "tbl_df") expect_s3_class(types, "tbl") expect_s3_class(types, "data.frame") expect_false(tibble::has_rownames(types)) }) readxl/tests/testthat/test-compatibility.R0000644000176200001440000000617414370772155020527 0ustar liggesuserstest_that("can read document from google doc", { iris_1 <- read_excel(test_sheet("iris-excel-xlsx.xlsx")) iris_2 <- read_excel(test_sheet("iris-google-doc.xlsx")) expect_equal(iris_1, iris_2) }) ## #180, #152, #99 ## Some 3rd-party s/w writes xls where lastcol is 0-indexed, like lastrow ## Changed an inequality in xls_cell() in xls.c to accomodate this ## WriteXLS is (or, rather, wraps) such s/w, so it's good source of such xls. ## WriteXLS::WriteXLS(head(mtcars), file.path("tests", "testthat", "sheets", "mtcars.xls")) test_that("can tolerate xls that underreports number of columns", { df <- read_excel(test_sheet("mtcars.xls")) expect_identical(ncol(df), ncol(mtcars)) }) ## #80 ## The infamous Ekaterinburg sheet is written by an unspecified BI tool. ## Tricky for several reasons: ## * Worksheet target paths demand full lookup (#233) ## * Worksheet target paths are prefixed with `/xl/` (#294) ## * Nonstandard XML namespace prefixes (#295) test_that("we can finally read Ekaterinburg", { ek <- read_excel(test_sheet("Ekaterinburg_IP_9.xlsx"), skip = 2) expect_identical(ek[[1, 2]], "27.05.2004") }) ## #309 ## A BIFF5 xls from an unspecified 3rd party tool, that uses a very antiquated ## practice of storing text strings in LABEL records. ## Exposed the fact that the libxls patch in #293 is beneficial for indexing ## the shared string table, but causes difficulty when parsing LABEL records. ## We have a small patch now in libxls for that. test_that("we can read the BIFF5, LABEL record sheet", { df <- read_excel( test_sheet("biff5-label-records.xls"), skip = 2, na = c("", "--") ) expect_identical(dim(df), c(14L, 4L)) expect_identical(df$Date[c(1, 14)], c("21/01/2017", "21/01/2017")) expect_identical(df$Time[c(1, 14)], c("01:00", "14:00")) }) ## https://github.com/tidyverse/readxl/pull/429 ## A2 + B2 test_that("formula cell with no v node does not cause crash", { df <- read_excel(test_sheet("missing-v-node-xlsx.xlsx")) expect_identical(df$`A + B`, NA) }) ## https://github.com/tidyverse/readxl/issues/435 ## https://source.opennews.org/articles/how-we-found-new-patterns-la-homeless-arrest/ ## LAPD uses a tool to produce xlsx that implements the minimal SpreadsheetML ## package structure described on pp65-66 of ECMA 5th edition test_that("we can read LAPD arrest sheets", { expect_no_error( lapd <- read_excel(test_sheet("los-angeles-arrests-xlsx.xlsx"), skip = 2) ) expect_identical(dim(lapd), c(193L, 36L)) expect_match(lapd$ARR_LOC[9], "HOLLYWOOD") expect_identical(lapd$CHG_DESC[27], "EX CON W/ A GUN") }) # https://github.com/tidyverse/readxl/issues/611 # xls file produced by ABBYY FineReader (OCR of PDFs) # inspired libxls to add support for rich-text strings in BIFF5 # https://github.com/libxls/libxls/commit/b6d9d872756f69780b743dbaec9cd2ec30c37740 test_that("we can read xls from ABBYY FineReader", { expect_no_error( abbyy <- read_excel( test_sheet("biff5-rich-text-string.xls"), col_names = FALSE, n_max = 1 ) ) expect_equal(nrow(abbyy), 1) expect_equal(ncol(abbyy), 1) expect_match(abbyy[[1,1]], "^ELECTORAL") }) readxl/tests/testthat/test-encoding.R0000644000176200001440000000245114216663505017433 0ustar liggesuserstest_that("excel_sheets returns utf-8 encoded text", { ## xlsx sheets <- excel_sheets(test_sheet("utf8-sheet-names.xlsx")) expect_identical(Encoding(sheets), rep("UTF-8", 2)) expect_identical(sheets, c("\u00b5", "\u2202")) ## xls sheets <- excel_sheets(test_sheet("utf8-sheet-names.xls")) expect_identical(Encoding(sheets), rep("UTF-8", 2)) expect_identical(sheets, c("\u00b5", "\u2202")) }) test_that("read_excel returns utf-8 encoded text", { ## xlsx viet <- read_excel(test_sheet("vietnamese-utf8.xlsx")) nms <- names(viet) expect_identical(Encoding(nms), "UTF-8") expect_identical( charToRaw(nms), as.raw(c(0x4d, 0xc3, 0xb4, 0x20, 0x74, 0xe1, 0xba, 0xa3)) ) expect_identical(Encoding(viet[[1]]), rep_len("UTF-8", nrow(viet))) expect_identical( charToRaw(viet[[1]][1]), as.raw(c(0x42, 0xc3, 0x99, 0x4e, 0x20, 0x53, 0xc3, 0x89, 0x54)) ) ## xls viet <- read_excel(test_sheet("vietnamese-utf8.xls")) nms <- names(viet) expect_identical(Encoding(nms), "UTF-8") expect_identical( charToRaw(nms), as.raw(c(0x4d, 0xc3, 0xb4, 0x20, 0x74, 0xe1, 0xba, 0xa3)) ) expect_identical(Encoding(viet[[1]]), rep_len("UTF-8", nrow(viet))) expect_identical( charToRaw(viet[[1]][1]), as.raw(c(0x42, 0xc3, 0x99, 0x4e, 0x20, 0x53, 0xc3, 0x89, 0x54)) ) }) readxl/tests/testthat/_snaps/0000755000176200001440000000000014654166717016037 5ustar liggesusersreadxl/tests/testthat/_snaps/dates.md0000644000176200001440000000113314752727666017464 0ustar liggesusers# we get correct dates prior to March 1, 1900, in 1900 date system [xlsx] Code df <- read_excel(test_sheet("dates-leap-year-1900-xlsx.xlsx"), col_types = c( "date", "text", "logical")) Condition Warning in `read_fun()`: NA inserted for impossible 1900-02-29 datetime # we get correct dates prior to March 1, 1900, in 1900 date system [xls] Code df <- read_excel(test_sheet("dates-leap-year-1900-xls.xls"), col_types = c( "date", "text", "logical")) Condition Warning in `read_fun()`: NA inserted for impossible 1900-02-29 datetime readxl/tests/testthat/_snaps/read-excel.md0000644000176200001440000000452514752727667020406 0ustar liggesusers# xlsx is not read as xls and vice versa Code read_xls(test_sheet("iris-excel-xlsx.xlsx")) Condition Error: ! filepath: 'VOLATILE_FILEPATH' libxls error: Unable to open file --- Code read_xlsx(test_sheet("iris-excel-xls.xls")) Condition Error in `utils::unzip()`: ! zip file 'VOLATILE_FILEPATH' cannot be opened # non-existent file throws error Code read_excel("foo") Condition Error: ! `path` does not exist: 'foo' # read_excel catches invalid guess_max Code read_excel(test_sheet("iris-excel-xlsx.xlsx"), guess_max = NA) Condition Error: ! `guess_max` must be a positive integer --- Code read_excel(test_sheet("iris-excel-xlsx.xlsx"), guess_max = -1) Condition Error: ! `guess_max` must be a positive integer --- Code out <- read_excel(test_sheet("iris-excel-xlsx.xlsx"), guess_max = Inf) Condition Warning: `guess_max` is a very large value, setting to `21474836` to avoid exhausting memory --- Code read_excel(test_sheet("iris-excel-xlsx.xlsx"), guess_max = NULL) Condition Error: ! `guess_max` must be a positive integer --- Code read_excel(test_sheet("iris-excel-xlsx.xlsx"), guess_max = 1:2) Condition Error: ! `guess_max` must be a positive integer # read_excel catches invalid n_max Code read_excel(test_sheet("iris-excel-xlsx.xlsx"), n_max = NA) Condition Error: ! `n_max` must be a positive integer --- Code read_excel(test_sheet("iris-excel-xlsx.xlsx"), n_max = -1) Condition Error: ! `n_max` must be a positive integer --- Code read_excel(test_sheet("iris-excel-xlsx.xlsx"), n_max = NULL) Condition Error: ! `n_max` must be a positive integer --- Code read_excel(test_sheet("iris-excel-xlsx.xlsx"), n_max = 1:2) Condition Error: ! `n_max` must be a positive integer # sheet must be integer or string Code read_excel(test_sheet("mtcars.xls"), sheet = TRUE) Condition Error: ! `sheet` must be either an integer or a string. # trim_ws must be a logical Code read_excel(test_sheet("mtcars.xls"), trim_ws = "yes") Condition Error: ! `trim_ws` must be either TRUE or FALSE readxl/tests/testthat/_snaps/col-types.md0000644000176200001440000000502714752727666020311 0ustar liggesusers# illegal col_types are rejected Code read_excel(test_sheet("types.xlsx"), col_types = c("foo", "numeric", "text", "bar")) Condition Error: ! Illegal column type: 'foo' [1], 'bar' [4] # request for 'blank' col type gets deprecation message and fix Code read_excel(test_sheet("types.xlsx"), col_types = rep_len(c("blank", "text"), length.out = 5)) Message `col_type = "blank"` deprecated. Use "skip" instead. Output # A tibble: 5 x 2 boolean numeric 1 TRUE 1 2 FALSE 2 3 4 TRUE 3 5 FALSE 6 # invalid col_types are rejected Code read_excel(test_sheet("types.xlsx"), col_types = character()) Condition Error in `check_col_types()`: ! length(col_types) > 0 is not TRUE --- Code read_excel(test_sheet("types.xlsx"), col_types = 1:3) Condition Error in `check_col_types()`: ! is.character(col_types) is not TRUE --- Code read_excel(test_sheet("types.xlsx"), col_types = c(NA, "text", "numeric")) Condition Error in `check_col_types()`: ! !anyNA(col_types) is not TRUE # guess_max is honored for col_types Code types <- read_excel(test_sheet("types.xlsx"), sheet = "guess_max", guess_max = 2) Condition Warning: Expecting numeric in A4 / R4C1: got 'ab' --- Code types <- read_excel(test_sheet("types.xls"), sheet = "guess_max", guess_max = 2) Condition Warning: Expecting numeric in A4 / R4C1: got 'ab' # wrong length col types generates error Code read_excel(test_sheet("iris-excel-xlsx.xlsx"), col_types = c("numeric", "text")) Condition Error: ! Sheet 1 has 5 columns, but `col_types` has length 2. --- Code read_excel(test_sheet("iris-excel-xls.xls"), col_types = c("numeric", "text")) Condition Error: ! Sheet 1 has 5 columns, but `col_types` has length 2. # numeric is correctly coerced to logical [xlsx] Code df <- read_xlsx(test_sheet("missing-values-xlsx.xlsx"), guess_max = 0) Condition Warning: Expecting logical in A2 / R2C1: got 'NA' Warning: Expecting logical in B2 / R2C2: got 'NA' # numeric is correctly coerced to logical [xls] Code df <- read_xls(test_sheet("missing-values-xls.xls"), guess_max = 0) Condition Warning: Expecting logical in A2 / R2C1: got 'NA' Warning: Expecting logical in B2 / R2C2: got 'NA' readxl/tests/testthat/_snaps/col-names.md0000644000176200001440000000065314752727665020247 0ustar liggesusers# wrong length column names are rejected Code read_excel(test_sheet("iris-excel-xlsx.xlsx"), col_names = LETTERS[1:3]) Condition Error: ! Sheet 1 has 5 columns (5 unskipped), but `col_names` has length 3. --- Code read_excel(test_sheet("iris-excel-xls.xls"), col_names = LETTERS[1:3]) Condition Error: ! Sheet 1 has 5 columns (5 unskipped), but `col_names` has length 3. readxl/tests/testthat/_snaps/coercion.md0000644000176200001440000000425114752727665020170 0ustar liggesusers# contaminated, explicit logical is read as logical Code df <- read_excel(test_sheet("types.xls"), sheet = "logical_coercion", col_types = c("logical", "text")) Condition Warning: Expecting logical in A14 / R14C1: got 'cabbage' Warning: Expecting logical in A18 / R18C1: got a date --- Code df <- read_excel(test_sheet("types.xlsx"), sheet = "logical_coercion", col_types = c("logical", "text")) Condition Warning: Expecting logical in A14 / R14C1: got 'cabbage' Warning: Expecting logical in A18 / R18C1: got a date # contaminated, explicit date is read as date Code df <- read_excel(test_sheet("types.xls"), sheet = "date_coercion", col_types = "date") Condition Warning: Expecting date in A4 / R4C1: got boolean Warning: Expecting date in A5 / R5C1: got 'cabbage' Warning: Coercing numeric to date in A6 / R6C1 Warning: Coercing numeric to date in A7 / R7C1 --- Code df <- read_excel(test_sheet("types.xlsx"), sheet = "date_coercion", col_types = "date") Condition Warning: Expecting date in A4 / R4C1: got boolean Warning: Expecting date in A5 / R5C1: got 'cabbage' Warning: Coercing numeric to date in A6 / R6C1 Warning: Coercing numeric to date in A7 / R7C1 # contaminated, explicit numeric is read as numeric Code df <- read_excel(test_sheet("types.xls"), sheet = "numeric_coercion", col_types = "numeric") Condition Warning: Coercing text to numeric in A3 / R3C1: '72' Warning: Coercing boolean to numeric in A5 / R5C1 Warning: Expecting numeric in A6 / R6C1: got a date Warning: Expecting numeric in A7 / R7C1: got 'cabbage' --- Code df <- read_excel(test_sheet("types.xlsx"), sheet = "numeric_coercion", col_types = "numeric") Condition Warning: Coercing text to numeric in A3 / R3C1: '72' Warning: Coercing boolean to numeric in A5 / R5C1 Warning: Expecting numeric in A6 / R6C1: got a date Warning: Expecting numeric in A7 / R7C1: got 'cabbage' readxl/tests/testthat/_snaps/sheets.md0000644000176200001440000000252014752727667017661 0ustar liggesusers# informative error when requesting non-existent sheet by name Code read_excel(test_sheet("iris-excel-xlsx.xlsx"), sheet = "tulip") Condition Error: ! Sheet 'tulip' not found --- Code read_excel(test_sheet("iris-excel-xlsx.xlsx"), range = "tulip!A1:A1") Condition Error: ! Sheet 'tulip' not found # informative error when requesting non-existent sheet by position Code read_excel(test_sheet("iris-excel-xlsx.xlsx"), sheet = 2) Condition Error: ! Can't retrieve sheet in position 2, only 1 sheet(s) found. --- Code read_excel(test_sheet("iris-excel-xls.xls"), sheet = 2) Condition Error: ! Can't retrieve sheet in position 2, only 1 sheet(s) found. # invalid sheet values caught Code read_excel(test_sheet("iris-excel-xlsx.xlsx"), sheet = 0) Condition Error: ! `sheet` must be positive --- Code read_excel(test_sheet("iris-excel-xlsx.xlsx"), sheet = rep(1L, 2)) Condition Error: ! `sheet` must have length 1 # double specification of sheet generates message and range wins Code double <- read_excel(test_sheet("sheet-xml-lookup.xlsx"), sheet = "Asia", range = "Oceania!A1:A1") Message Two values given for `sheet`. Using the `sheet` found in `range`: Oceania readxl/tests/testthat/_snaps/problems.md0000644000176200001440000000272114752727666020213 0ustar liggesusers# coercion warnings report correct address Code read_excel(test_sheet("geometry.xlsx"), sheet = "warning_B6", col_types = "numeric") Condition Warning: Expecting numeric in B6 / R6C2: got 'wtf' Output # A tibble: 3 x 1 var1 1 1234 2 2345 3 NA --- Code read_excel(test_sheet("geometry.xlsx"), sheet = "warning_AT6", col_types = "numeric") Condition Warning: Expecting numeric in AT6 / R6C46: got 'wtf' Output # A tibble: 3 x 1 var1 1 1234 2 2345 3 NA --- Code read_excel(test_sheet("geometry.xlsx"), sheet = "warning_AKE6", col_types = "numeric") Condition Warning: Expecting numeric in AKE6 / R6C967: got 'wtf' Output # A tibble: 3 x 1 var3 1 1234 2 2345 3 NA --- Code read_excel(test_sheet("geometry.xls"), sheet = "warning_B6", col_types = "numeric") Condition Warning: Expecting numeric in B6 / R6C2: got 'wtf' Output # A tibble: 3 x 1 var1 1 1234 2 2345 3 NA --- Code read_excel(test_sheet("geometry.xls"), sheet = "warning_AT6", col_types = "numeric") Condition Warning: Expecting numeric in AT6 / R6C46: got 'wtf' Output # A tibble: 3 x 1 var1 1 1234 2 2345 3 NA readxl/tests/testthat/test-col-names.R0000644000176200001440000001145214402475770017526 0ustar liggesuserstest_that("col_names = FALSE mimics missing column names [xlsx]", { df1 <- read_excel( test_sheet("no-yes-col-names.xlsx"), sheet = "no-col-names", col_names = FALSE ) df2 <- read_excel( test_sheet("no-yes-col-names.xlsx"), sheet = "yes-col-names", skip = 1, col_names = c("", "") ) df3 <- read_excel( test_sheet("no-yes-col-names.xlsx"), ## A1 and B1 aren't truly empty -- contain invisible single quotes, so we ## don't skip over them sheet = "empty-col-names" ) expect_identical(df1, df2) expect_identical(df2, df3) }) test_that("col_names = FALSE mimics missing column names [xls]", { df1 <- read_excel( test_sheet("no-yes-col-names.xls"), sheet = "no-col-names", col_names = FALSE ) df2 <- read_excel( test_sheet("no-yes-col-names.xls"), sheet = "yes-col-names", skip = 1, col_names = c("", "") ) df3 <- read_excel( test_sheet("no-yes-col-names.xls"), ## A1 and B1 aren't truly empty -- contain invisible single quotes, so we ## don't skip over them sheet = "empty-col-names" ) expect_identical(df1, df2) expect_identical(df2, df3) }) test_that("missing column names are populated", { nms <- c("...1", "...3") df <- read_excel(test_sheet("unnamed-duplicated-columns.xlsx")) expect_identical(names(df)[c(1, 3)], nms) df <- read_excel(test_sheet("unnamed-duplicated-columns.xls")) expect_identical(names(df)[c(1, 3)], nms) }) test_that("column names are de-duplicated", { nm <- "var2...4" df <- read_excel(test_sheet("unnamed-duplicated-columns.xlsx")) expect_identical(names(df)[4], nm) df <- read_excel(test_sheet("unnamed-duplicated-columns.xls")) expect_identical(names(df)[4], nm) }) test_that("wrong length column names are rejected", { expect_snapshot( error = TRUE, read_excel(test_sheet("iris-excel-xlsx.xlsx"), col_names = LETTERS[1:3]) ) expect_snapshot( error = TRUE, read_excel(test_sheet("iris-excel-xls.xls"), col_names = LETTERS[1:3]) ) }) test_that("column_names can anticipate skipping", { ## xlsx df <- read_excel( test_sheet("iris-excel-xlsx.xlsx"), col_names = c("one", "two", "three"), skip = 1, col_types = c("numeric", "numeric", "skip", "skip", "text") ) expect_identical(dim(df), c(150L, 3L)) expect_identical(names(df), c("one", "two", "three")) ## xls df <- read_excel( test_sheet("iris-excel-xls.xls"), col_names = c("one", "two", "three"), skip = 1, col_types = c("numeric", "numeric", "skip", "skip", "text") ) expect_identical(dim(df), c(150L, 3L)) expect_identical(names(df), c("one", "two", "three")) }) test_that(".name_repair is passed through to tibble", { expect_colnames <- function(df, expected) { expect_identical(colnames(df), expected) } ## default is "unique" nms <- c("a b...1", "a b...2", "...3", "c%&$") xlsx <- read_excel(test_sheet("names-need-repair-xlsx.xlsx")) expect_colnames(xlsx, nms) xls <- read_excel(test_sheet("names-need-repair-xls.xls")) expect_colnames(xls, nms) ## "universal" names are available nms <- c("a.b...1", "a.b...2", "...3", "c...") xlsx <- read_excel(test_sheet("names-need-repair-xlsx.xlsx"), .name_repair = "universal") expect_colnames(xlsx, nms) xls <- read_excel(test_sheet("names-need-repair-xls.xls"), .name_repair = "universal") expect_colnames(xls, nms) ## "minimal" names are available nms <- c("", "var2", "", "var2") xlsx <- read_excel(test_sheet("unnamed-duplicated-columns.xlsx"), .name_repair = "minimal") expect_colnames(xlsx, nms) xls <- read_excel(test_sheet("unnamed-duplicated-columns.xls"), .name_repair = "minimal") expect_colnames(xls, nms) ## specify name repair as a built-in function nms <- c("SEPAL.LENGTH", "SEPAL.WIDTH", "PETAL.LENGTH", "PETAL.WIDTH", "SPECIES") xlsx <- read_excel(test_sheet("iris-excel-xlsx.xlsx"), .name_repair = toupper) expect_colnames(xlsx, nms) xls <- read_excel(test_sheet("iris-excel-xls.xls"), .name_repair = toupper) expect_colnames(xls, nms) ## specify name repair as a custom function nms <- c("sepal_length", "sepal_width", "petal_length", "petal_width", "species") custom_name_repair <- function(nms) tolower(gsub("[.]", "_", nms)) xlsx <- read_excel(test_sheet("iris-excel-xlsx.xlsx"), .name_repair = custom_name_repair) expect_colnames(xlsx, nms) xls <- read_excel(test_sheet("iris-excel-xls.xls"), .name_repair = custom_name_repair) expect_colnames(xls, nms) ## specify name repair as an anonymous function nms <- c("wei", "fee") xlsx <- read_excel( readxl_example("datasets.xlsx"), sheet = "chickwts", .name_repair = ~ substr(.x, start = 1, stop = 3) ) expect_colnames(xlsx, nms) xls <- read_excel( readxl_example("datasets.xls"), sheet = "chickwts", .name_repair = ~ substr(.x, start = 1, stop = 3) ) expect_colnames(xls, nms) }) readxl/tests/testthat/test-read-excel.R0000644000176200001440000000766014402655363017665 0ustar liggesuserstest_that("can read sheets with inlineStr", { # Original source: http://our.componentone.com/wp-content/uploads/2011/12/TestExcel.xlsx # These appear to come from LibreOffice 4.2.7.2. x <- read_excel(test_sheet("inlineStr.xlsx")) expect_equal(x$ID, "RQ11610") }) test_that("can read files with and without extension [xls]", { iris_xls_no_ending <- withr::local_tempfile() file.copy(test_sheet("iris-excel-xls.xls"), iris_xls_no_ending) iris_xls <- read_excel(test_sheet("iris-excel-xls.xls")) iris_guess <- read_excel(iris_xls_no_ending) iris_explicit <- read_xls(iris_xls_no_ending) expect_equal(iris_xls, iris_guess) expect_equal(iris_xls, iris_explicit) }) test_that("xlsx is not read as xls and vice versa", { scrubfun <- function(x) { sub("'?[^ ]*iris-excel-xlsx?[.]xlsx?'?", "'VOLATILE_FILEPATH'", x) } expect_snapshot( error = TRUE, read_xls(test_sheet("iris-excel-xlsx.xlsx")), transform = scrubfun ) expect_snapshot( error = TRUE, read_xlsx(test_sheet("iris-excel-xls.xls")), transform = scrubfun ) }) test_that("non-existent file throws error", { expect_snapshot( error = TRUE, read_excel("foo") ) }) test_that("read_excel catches invalid guess_max", { expect_snapshot( error = TRUE, read_excel(test_sheet("iris-excel-xlsx.xlsx"), guess_max = NA) ) expect_snapshot( error = TRUE, read_excel(test_sheet("iris-excel-xlsx.xlsx"), guess_max = -1) ) expect_snapshot( out <- read_excel(test_sheet("iris-excel-xlsx.xlsx"), guess_max = Inf) ) expect_snapshot( error = TRUE, read_excel(test_sheet("iris-excel-xlsx.xlsx"), guess_max = NULL) ) expect_snapshot( error = TRUE, read_excel(test_sheet("iris-excel-xlsx.xlsx"), guess_max = 1:2) ) }) test_that("read_excel catches invalid n_max", { expect_snapshot( error = TRUE, read_excel(test_sheet("iris-excel-xlsx.xlsx"), n_max = NA) ) expect_snapshot( error = TRUE, read_excel(test_sheet("iris-excel-xlsx.xlsx"), n_max = -1) ) expect_snapshot( error = TRUE, read_excel(test_sheet("iris-excel-xlsx.xlsx"), n_max = NULL) ) expect_snapshot( error = TRUE, read_excel(test_sheet("iris-excel-xlsx.xlsx"), n_max = 1:2) ) }) ## https://github.com/tidyverse/readxl/issues/373 test_that("xls with exactly 65536 rows does not enter infinite loop", { out <- read_excel(test_sheet("65536-rows-xls.xls")) expect_identical(out, tibble::tibble(HELLO = "WORLD")) }) test_that("sheet must be integer or string", { expect_snapshot( error = TRUE, read_excel(test_sheet("mtcars.xls"), sheet = TRUE) ) }) test_that("trim_ws must be a logical", { expect_snapshot( error = TRUE, read_excel(test_sheet("mtcars.xls"), trim_ws = "yes") ) }) ## xlsx: https://github.com/tidyverse/readxl/issues/370 ## xls: https://github.com/tidyverse/readxl/issues/476 test_that("non-ASCII filenames can be read", { skip_on_cran() ## chosen to be non-ASCII but ## [1] representable in Windows-1252 and ## [2] not any of the few differences between Windows-1252 and ISO-8859-1 ## a-grave + e-diaeresis + Eth + '.xls[x]' xls_filename <- "\u00C0\u00CB\u00D0\u002E\u0078\u006C\u0073" xlsx_filename <- "\u00C0\u00CB\u00D0\u002E\u0078\u006C\u0073\u0078" tricky_xls_file <- file.path(tempdir(), xls_filename) tricky_xlsx_file <- file.path(tempdir(), xlsx_filename) file.copy(test_sheet("list_type.xls"), tricky_xls_file) file.copy(test_sheet("list_type.xlsx"), tricky_xlsx_file) expect_true(file.exists(tricky_xls_file)) expect_true(file.exists(tricky_xlsx_file)) on.exit(file.remove(tricky_xls_file)) on.exit(file.remove(tricky_xlsx_file)) expect_no_error(read_xls(tricky_xls_file)) expect_no_error(read_xlsx(tricky_xlsx_file)) }) test_that("styles and sharedStrings parts can be absent", { expect_no_error( df <- read_xlsx(test_sheet("no-styles-or-sharedStrings-parts.xlsx")) ) expect_identical(df$Language[1], "german") expect_true(all(df$Age > 0)) }) readxl/tests/testthat/test-excel-format.R0000644000176200001440000000302714216663505020233 0ustar liggesuserstest_that("excel_format() recognizes extensions (or lack thereof)", { files <- c("a.xlsx", "b.xls", "c.png", "d") expect_identical( format_from_ext(files), c("xlsx", "xls", NA, NA) ) }) test_that("format_from_signature() works for xls and xlsx and not jpg", { orig_files <- c( test_sheet("iris-excel-xlsx.xlsx"), test_sheet("iris-excel-xls.xls"), file.path(R.home("doc"), "html", "logo.jpg") ) no_ext_copies <- paste0( basename(tools::file_path_sans_ext(orig_files)), "-no-ending" ) no_ext_copies <- file.path(tempdir(), no_ext_copies) file.copy(orig_files, no_ext_copies) on.exit(file.remove(no_ext_copies)) expect_identical( format_from_signature(no_ext_copies), c("xlsx", "xls", NA) ) }) test_that("excel_format(guess = FALSE) == format_from_ext()", { files <- c("a.xlsx", "b.xls", "c.png", "d") expect_identical(format_from_ext(files), excel_format(files)) }) test_that("excel_format(guess = TRUE) == format_from_signature()", { orig_files <- c( test_sheet("iris-excel-xlsx.xlsx"), test_sheet("iris-excel-xls.xls"), file.path(R.home("doc"), "html", "logo.jpg") ) no_ext_copies <- paste0( basename(tools::file_path_sans_ext(orig_files)), "-no-ending" ) no_ext_copies <- file.path(tempdir(), no_ext_copies) file.copy(orig_files, no_ext_copies) on.exit(file.remove(no_ext_copies)) expect_identical( ## include one non-existent file, but do not try to remove it excel_format(c(no_ext_copies, "i_do_not_exist")), c("xlsx", "xls", NA, NA) ) }) readxl/tests/testthat/test-empty.R0000644000176200001440000000321314216663505017000 0ustar liggesuserstest_that("completely empty sheets are handled [xlsx]", { out <- read_excel(test_sheet("empty-sheets.xlsx"), "empty") expect_identical(out, tibble::tibble()) out <- read_excel(test_sheet("empty-sheets.xlsx"), "empty", skip = 3) expect_identical(out, tibble::tibble()) out <- read_excel(test_sheet("empty-sheets.xlsx"), "empty", col_names = "a") expect_identical(out, tibble::tibble()) out <- read_excel(test_sheet("empty-sheets.xlsx"), "empty", col_names = FALSE) expect_identical(out, tibble::tibble()) }) test_that("completely empty sheets are handled [xls]", { out <- read_excel(test_sheet("empty-sheets.xls"), "empty") expect_identical(out, tibble::tibble()) out <- read_excel(test_sheet("empty-sheets.xls"), "empty", skip = 3) expect_identical(out, tibble::tibble()) out <- read_excel(test_sheet("empty-sheets.xls"), "empty", col_names = "a") expect_identical(out, tibble::tibble()) out <- read_excel(test_sheet("empty-sheets.xls"), "empty", col_names = FALSE) expect_identical(out, tibble::tibble()) }) test_that("sheets with column names only are handled", { out <- read_excel(test_sheet("empty-sheets.xlsx"), "header_only") expect_identical(out, tibble::tibble(var1 = logical(), var2 = logical())) out <- read_excel(test_sheet("empty-sheets.xls"), "header_only") expect_identical(out, tibble::tibble(var1 = logical(), var2 = logical())) }) test_that("non-empty sheets act that way if we skip past everything", { out <- 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ebd856db4309b0aa1135698e389477a6 *vignettes/img/type-me-date.png aed3fdcd83583160d78554f33d8f9238 *vignettes/img/type-me-logical.png ce2fc419cbb48dc8cebfd5703305548a *vignettes/img/type-me-numeric.png 87ea0b91c80b9c6225a81877732b2ccc *vignettes/img/type-me-text.png a06a832235e00d512eb295a1ee4f364e *vignettes/sheet-geometry.Rmd readxl/R/0000755000176200001440000000000014757465725011760 5ustar liggesusersreadxl/R/progress.R0000644000176200001440000000154313406506420013724 0ustar liggesusers#' Determine whether to show progress spinner #' #' @description By default, readxl displays a progress spinner **unless** #' one of the following is `TRUE`: #' * The spinner is explicitly disabled by setting #' `options(readxl.show_progress = FALSE)`. #' * The code is run in a non-interactive session (`interactive()` is `FALSE`). #' * The code is run by knitr / rmarkdown. #' * The code is run in an RStudio notebook chunk. #' readxl uses the [progress #' package](https://cran.r-project.org/package=progress) under-the-hood and #' therefore is also sensitive to any options that it consults. #' @export readxl_progress <- function() { ## based on readr:::show_progress() isTRUE(getOption("readxl.show_progress", default = TRUE)) && interactive() && !isTRUE(getOption("knitr.in.progress")) && !isTRUE(getOption("rstudio.notebook.executing")) } readxl/R/cpp11.R0000644000176200001440000000172714757465725013036 0ustar liggesusers# Generated by cpp11: do not edit by hand read_xls_ <- function(path, sheet_i, limits, shim, col_names, col_types, na, trim_ws, guess_max, progress) { .Call(`_readxl_read_xls_`, path, sheet_i, limits, shim, col_names, col_types, na, trim_ws, guess_max, progress) } read_xlsx_ <- function(path, sheet_i, limits, shim, col_names, col_types, na, trim_ws, guess_max, progress) { .Call(`_readxl_read_xlsx_`, path, sheet_i, limits, shim, col_names, col_types, na, trim_ws, guess_max, progress) } xls_sheets <- function(path) { .Call(`_readxl_xls_sheets`, path) } xls_date_formats <- function(path) { .Call(`_readxl_xls_date_formats`, path) } xlsx_sheets <- function(path) { .Call(`_readxl_xlsx_sheets`, path) } xlsx_strings <- function(path) { .Call(`_readxl_xlsx_strings`, path) } xlsx_date_formats <- function(path) { .Call(`_readxl_xlsx_date_formats`, path) } zip_xml <- function(zip_path, file_path) { invisible(.Call(`_readxl_zip_xml`, zip_path, file_path)) } readxl/R/excel-format.R0000644000176200001440000000503713336631200014445 0ustar liggesusers#' Determine file format #' #' @description Determine if files are xls or xlsx (or from the xlsx family). #' #' @description `excel_format(guess = TRUE)` is used by `read_excel()` to #' determine format. It draws on logic from two lower level functions: #' * `format_from_ext()` attempts to determine format from the file extension. #' * `format_from_signature()` consults the [file #' signature](https://en.wikipedia.org/wiki/List_of_file_signatures) or "magic #' number". #' #' @description File extensions associated with xlsx vs. xls: #' * xlsx: `.xlsx`, `.xlsm`, `.xltx`, `.xltm` #' * xls: `.xls` #' #' @description File signatures (in hexadecimal) for xlsx vs xls: #' * xlsx: First 4 bytes are `50 4B 03 04` #' * xls: First 8 bytes are `D0 CF 11 E0 A1 B1 1A E1` #' #' @inheritParams read_excel #' @param guess Logical. If the file extension is absent or not recognized, this #' controls whether we attempt to guess format based on the file signature or #' "magic number". #' #' @return Character vector with values `"xlsx"`, `"xls"`, or `NA`. #' @export #' #' @examples #' files <- c( #' "a.xlsx", #' "b.xls", #' "c.png", #' file.path(R.home("doc"), "html", "logo.jpg"), #' readxl_example("clippy.xlsx"), #' readxl_example("deaths.xls") #' ) #' excel_format(files) excel_format <- function(path, guess = TRUE) { format <- format_from_ext(path) if (!isTRUE(guess)) { return(format) } guess_me <- is.na(format) & file.exists(path) format[guess_me] <- format_from_signature(path[guess_me]) format } #' @rdname excel_format #' @export format_from_ext <- function(path) { ext <- tolower(tools::file_ext(path)) formats <- c( xls = "xls", xlsx = "xlsx", xlsm = "xlsx", xltx = "xlsx", xltm = "xlsx" ) unname(formats[ext]) } #' @rdname excel_format #' @export format_from_signature <- function(path) { signature <- lapply(path, first_8_bytes) vapply(signature, sig_to_fmt, "xlsx?") } first_8_bytes <- function(x) readBin(x, n = 8, what = "raw") sig_to_fmt <- function(x) { ## https://en.wikipedia.org/wiki/List_of_file_signatures xlsx_sig <- as.raw(c( "0x50", "0x4B", "0x03", "0x04" )) xls_sig <- as.raw(c( "0xD0", "0xCF", "0x11", "0xE0", "0xA1", "0xB1", "0x1A", "0xE1" )) if (identical(x[1:4], xlsx_sig)) { "xlsx" } else if (identical(x, xls_sig)) { "xls" } else { NA_character_ } } check_format <- function(path) { format <- excel_format(path) if (is.na(format)) { stop("Can't establish that the input is either xls or xlsx.", call. = FALSE) } format } readxl/R/read_excel.R0000644000176200001440000003013114752725650014163 0ustar liggesusers#' @useDynLib readxl, .registration = TRUE NULL #' Read xls and xlsx files #' #' @param path Path to the xls/xlsx file. #' @param sheet Sheet to read. Either a string (the name of a sheet), or an #' integer (the position of the sheet). Ignored if the sheet is specified via #' `range`. If neither argument specifies the sheet, defaults to the first #' sheet. #' @param range A cell range to read from, as described in [cell-specification]. #' Includes typical Excel ranges like "B3:D87", possibly including the sheet #' name like "Budget!B2:G14", and more. Interpreted strictly, even if the #' range forces the inclusion of leading or trailing empty rows or columns. #' Takes precedence over `skip`, `n_max` and `sheet`. #' @param col_names `TRUE` to use the first row as column names, `FALSE` to get #' default names, or a character vector giving a name for each column. If user #' provides `col_types` as a vector, `col_names` can have one entry per #' column, i.e. have the same length as `col_types`, or one entry per #' unskipped column. #' @param col_types Either `NULL` to guess all from the spreadsheet or a #' character vector containing one entry per column from these options: #' "skip", "guess", "logical", "numeric", "date", "text" or "list". If exactly #' one `col_type` is specified, it will be recycled. The content of a cell in #' a skipped column is never read and that column will not appear in the data #' frame output. A list cell loads a column as a list of length 1 vectors, #' which are typed using the type guessing logic from `col_types = NULL`, but #' on a cell-by-cell basis. #' @param na Character vector of strings to interpret as missing values. By #' default, readxl treats blank cells as missing data. #' @param trim_ws Should leading and trailing whitespace be trimmed? #' @param skip Minimum number of rows to skip before reading anything, be it #' column names or data. Leading empty rows are automatically skipped, so this #' is a lower bound. Ignored if `range` is given. #' @param n_max Maximum number of data rows to read. Trailing empty rows are #' automatically skipped, so this is an upper bound on the number of rows in #' the returned tibble. Ignored if `range` is given. #' @param guess_max Maximum number of data rows to use for guessing column #' types. #' @param progress Display a progress spinner? By default, the spinner appears #' only in an interactive session, outside the context of knitting a document, #' and when the call is likely to run for several seconds or more. See #' [readxl_progress()] for more details. #' @param .name_repair Handling of column names. Passed along to #' [tibble::as_tibble()]. readxl's default is `.name_repair = "unique", which #' ensures column names are not empty and are unique. #' @return A [tibble][tibble::tibble-package] #' @seealso [cell-specification] for more details on targetting cells with the #' `range` argument #' @export #' @examples #' datasets <- readxl_example("datasets.xlsx") #' read_excel(datasets) #' #' # Specify sheet either by position or by name #' read_excel(datasets, 2) #' read_excel(datasets, "mtcars") #' #' # Skip rows and use default column names #' read_excel(datasets, skip = 10, col_names = FALSE) #' #' # Recycle a single column type #' read_excel(datasets, col_types = "text") #' #' # Specify some col_types and guess others #' read_excel( #' readxl_example("deaths.xlsx"), #' skip = 4, n_max = 10, col_names = TRUE, #' col_types = c("text", "text", "guess", "guess", "guess", "guess") #' ) #' #' # Accomodate a column with disparate types via col_type = "list" #' df <- read_excel(readxl_example("clippy.xlsx"), col_types = c("text", "list")) #' df #' df$value #' sapply(df$value, class) #' #' # Limit the number of data rows read #' read_excel(datasets, n_max = 3) #' #' # Read from an Excel range using A1 or R1C1 notation #' read_excel(datasets, range = "C1:E7") #' read_excel(datasets, range = "R1C2:R2C5") #' #' # Specify the sheet as part of the range #' read_excel(datasets, range = "mtcars!B1:D5") #' #' # Read only specific rows or columns #' read_excel(datasets, range = cell_rows(102:151), col_names = FALSE) #' read_excel(datasets, range = cell_cols("B:D")) #' #' # Get a preview of column names #' names(read_excel(readxl_example("datasets.xlsx"), n_max = 0)) #' #' # exploit full .name_repair flexibility from tibble #' #' # "universal" names are unique and syntactic #' read_excel( #' readxl_example("deaths.xlsx"), #' range = "arts!A5:F15", #' .name_repair = "universal" #' ) #' #' # specify name repair as a built-in function #' read_excel(readxl_example("clippy.xlsx"), .name_repair = toupper) #' #' # specify name repair as a custom function #' my_custom_name_repair <- function(nms) tolower(gsub("[.]", "_", nms)) #' read_excel( #' readxl_example("datasets.xlsx"), #' .name_repair = my_custom_name_repair #' ) #' #' # specify name repair as an anonymous function #' read_excel( #' readxl_example("datasets.xlsx"), #' sheet = "chickwts", #' .name_repair = ~ substr(.x, start = 1, stop = 3) #' ) read_excel <- function(path, sheet = NULL, range = NULL, col_names = TRUE, col_types = NULL, na = "", trim_ws = TRUE, skip = 0, n_max = Inf, guess_max = min(1000, n_max), progress = readxl_progress(), .name_repair = "unique") { path <- check_file(path) format <- check_format(path) read_excel_( path = path, sheet = sheet, range = range, col_names = col_names, col_types = col_types, na = na, trim_ws = trim_ws, skip = skip, n_max = n_max, guess_max = guess_max, progress = progress, .name_repair = .name_repair, format = format ) } #' `read_excel()` calls [excel_format()] to determine if `path` is xls or xlsx, #' based on the file extension and the file itself, in that order. Use #' `read_xls()` and `read_xlsx()` directly if you know better and want to #' prevent such guessing. #' @rdname read_excel #' @export read_xls <- function(path, sheet = NULL, range = NULL, col_names = TRUE, col_types = NULL, na = "", trim_ws = TRUE, skip = 0, n_max = Inf, guess_max = min(1000, n_max), progress = readxl_progress(), .name_repair = "unique") { path <- check_file(path) read_excel_( path = path, sheet = sheet, range = range, col_names = col_names, col_types = col_types, na = na, trim_ws = trim_ws, skip = skip, n_max = n_max, guess_max = guess_max, progress = progress, .name_repair = .name_repair, format = "xls" ) } #' @rdname read_excel #' @export read_xlsx <- function(path, sheet = NULL, range = NULL, col_names = TRUE, col_types = NULL, na = "", trim_ws = TRUE, skip = 0, n_max = Inf, guess_max = min(1000, n_max), progress = readxl_progress(), .name_repair = "unique") { path <- check_file(path) read_excel_( path = path, sheet = sheet, range = range, col_names = col_names, col_types = col_types, na = na, trim_ws = trim_ws, skip = skip, n_max = n_max, guess_max = guess_max, progress = progress, .name_repair = .name_repair, format = "xlsx" ) } read_excel_ <- function(path, sheet = NULL, range = NULL, col_names = TRUE, col_types = NULL, na = "", trim_ws = TRUE, skip = 0, n_max = Inf, guess_max = min(1000, n_max), progress = readxl_progress(), .name_repair = NULL, format) { if (format == "xls") { sheets_fun <- xls_sheets read_fun <- read_xls_ } else { sheets_fun <- xlsx_sheets read_fun <- read_xlsx_ } path <- normalizePath(path) sheet <- standardise_sheet(sheet, range, sheets_fun(path)) shim <- !is.null(range) limits <- standardise_limits( range, skip, n_max, has_col_names = isTRUE(col_names) ) col_types <- check_col_types(col_types) guess_max <- check_guess_max(guess_max) trim_ws <- check_bool(trim_ws, "trim_ws") progress <- check_bool(progress, "progress") set_readxl_names( read_fun( path = path, sheet_i = sheet, limits = limits, shim = shim, col_names = col_names, col_types = col_types, na = na, trim_ws = trim_ws, guess_max = guess_max, progress = progress ), .name_repair = .name_repair ) } # Helper functions ------------------------------------------------------------- ## return a zero-indexed sheet number standardise_sheet <- function(sheet, range, sheet_names) { range_sheet <- cellranger::as.cell_limits(range)[["sheet"]] if (!is.null(range_sheet) && !is.na(range_sheet)) { if (!is.null(sheet)) { message( "Two values given for `sheet`. ", "Using the `sheet` found in `range`:\n", range_sheet ) } sheet <- range_sheet } if (is.null(sheet)) { sheet <- 1L } if (length(sheet) != 1) { stop("`sheet` must have length 1", call. = FALSE) } if (is.numeric(sheet)) { if (sheet < 1) { stop("`sheet` must be positive", call. = FALSE) } floor(sheet) - 1L } else if (is.character(sheet)) { if (!(sheet %in% sheet_names)) { stop("Sheet '", sheet, "' not found", call. = FALSE) } match(sheet, sheet_names) - 1L } else { stop("`sheet` must be either an integer or a string.", call. = FALSE) } } ## return a zero-indexed vector describing the corners of a cell rectangle: ## min_row, max_row, min_col, max_col ## NA becomes -1 and means "unspecified", by convention ## if both min and max are -1, for rows or cols, means "read them all" ## min_row = -2 is a special flag meaning "read no rows" standardise_limits <- function(range, skip, n_max, has_col_names) { if (is.null(range)) { skip <- check_non_negative_integer(skip, "skip") n_max <- check_non_negative_integer(n_max, "n_max") n_read <- if (has_col_names) n_max + 1 else n_max limits <- c( min_row = if (n_read > 0) skip else -2, max_row = if (n_read == Inf || n_read == 0) NA else skip + n_read - 1, min_col = NA, max_col = NA ) } else { limits <- cellranger::as.cell_limits(range) limits <- c( min_row = limits[["ul"]][1] - 1, max_row = limits[["lr"]][1] - 1, min_col = limits[["ul"]][2] - 1, max_col = limits[["lr"]][2] - 1 ) } limits[is.na(limits)] <- -1 names <- names(limits) limits <- as.integer(limits) names(limits) <- names limits } check_col_types <- function(col_types) { if (is.null(col_types)) { return("guess") } stopifnot(is.character(col_types), length(col_types) > 0, !anyNA(col_types)) blank <- col_types == "blank" if (any(blank)) { message("`col_type = \"blank\"` deprecated. Use \"skip\" instead.") col_types[blank] <- "skip" } accepted_types <- c("skip", "guess", "logical", "numeric", "date", "text", "list") ok <- col_types %in% accepted_types if (any(!ok)) { info <- paste( paste0("'", col_types[!ok], "' [", seq_along(col_types)[!ok], "]"), collapse = ", " ) stop(paste("Illegal column type:", info), call. = FALSE) } col_types } check_bool <- function(bool, arg_name) { if (!isTRUE(bool) && !identical(bool, FALSE)) { stop("`", arg_name, "` must be either TRUE or FALSE", call. = FALSE) } bool } check_non_negative_integer <- function(i, arg_name) { if (length(i) != 1 || !is.numeric(i) || !is_integerish(i) || is.na(i) || i < 0) { stop("`", arg_name, "` must be a positive integer", call. = FALSE) } i } ## from readr check_guess_max <- function(guess_max, max_limit = .Machine$integer.max %/% 100) { guess_max <- check_non_negative_integer(guess_max, "guess_max") if (guess_max > max_limit) { warning( "`guess_max` is a very large value, setting to `", max_limit, "` to avoid exhausting memory", call. = FALSE ) guess_max <- max_limit } guess_max } set_readxl_names <- function(l, .name_repair = "unique") { if (is.null(.name_repair)) { tibble::as_tibble(l) } else { tibble::as_tibble(l, .name_repair = .name_repair) } } readxl/R/readxl-package.R0000644000176200001440000000013514402521714014724 0ustar liggesusers#' @keywords internal "_PACKAGE" ## usethis namespace: start ## usethis namespace: end NULL readxl/R/utils.R0000644000176200001440000000051714165346413013227 0ustar liggesuserscheck_file <- function(path) { if (!is_string(path)) { stop("`path` must be a string", call. = FALSE) } if (!file.exists(path)) { stop("`path` does not exist: ", sQuote(path), call. = FALSE) } path } is_integerish <- function(x) { floor(x) == x } is_string <- function(x) { length(x) == 1 && is.character(x) } readxl/R/cell-specification.R0000644000176200001440000000604014752732171015623 0ustar liggesusers#' Specify cells for reading #' #' The `range` argument of [read_excel()] provides many ways to limit the read #' to a specific rectangle of cells. The simplest usage is to provide an #' Excel-like cell range, such as `range = "D12:F15"` or #' `range ="R1C12:R6C15"`. The cell rectangle can be specified in various other ways, #' using helper functions. You can find more examples at the #' [sheet geometry](https://readxl.tidyverse.org/articles/sheet-geometry.html#range) #' vignette. In all cases, cell range processing is handled by the #' [cellranger][cellranger::cellranger] package, where you can find full documentation for #' the functions used in the examples below. #' #' @examples #' path <- readxl_example("geometry.xls") #' ## Rows 1 and 2 are empty (as are rows 7 and higher) #' ## Column 1 aka "A" is empty (as are columns 5 of "E" and higher) #' #' # By default, the populated data cells are "shrink-wrapped" into a #' # minimal data frame #' read_excel(path) #' #' # Specific rectangle that is subset of populated cells, possibly improper #' read_excel(path, range = "B3:D6") #' read_excel(path, range = "C3:D5") #' #' # Specific rectangle that forces inclusion of unpopulated cells #' read_excel(path, range = "A3:D5") #' read_excel(path, range = "A4:E5") #' read_excel(path, range = "C5:E7") #' #' # Anchor a rectangle of specified size at a particular cell #' read_excel(path, range = anchored("C4", dim = c(3, 2)), col_names = FALSE) #' #' # Specify only the rows #' read_excel(path, range = cell_rows(3:5)) #' ## is equivalent to #' read_excel(path, range = cell_rows(c(3, 5))) #' #' # Specify only the columns by column number or letter #' read_excel(path, range = cell_cols("C:D")) #' read_excel(path, range = cell_cols(2)) #' #' # Specify exactly one row or column bound #' read_excel(path, range = cell_rows(c(5, NA))) #' read_excel(path, range = cell_rows(c(NA, 4))) #' read_excel(path, range = cell_cols(c("C", NA))) #' read_excel(path, range = cell_cols(c(NA, 2))) #' #' # General open rectangles #' # upper left = C4, everything else unspecified #' read_excel(path, range = cell_limits(c(4, 3), c(NA, NA))) #' # upper right = D4, everything else unspecified #' read_excel(path, range = cell_limits(c(4, NA), c(NA, 4))) #' #' @seealso The [cellranger][cellranger::cellranger] package has full documentation on cell #' specification and offers additional functions for manipulating "A1:D10" #' style spreadsheet ranges. Here are the most relevant: #' \itemize{ #' \item [cellranger::cell_limits()] #' \item [cellranger::cell_rows()] #' \item [cellranger::cell_cols()] #' \item [cellranger::anchored()] #' } #' @name cell-specification NULL #' @importFrom cellranger cell_limits #' @name cell_limits #' @export #' @rdname cell-specification NULL #' @importFrom cellranger cell_rows #' @name cell_rows #' @export #' @rdname cell-specification NULL #' @importFrom cellranger cell_cols #' @name cell_cols #' @export #' @rdname cell-specification NULL #' @importFrom cellranger anchored #' @name anchored #' @export #' @rdname cell-specification NULL readxl/R/xlsx-zip.R0000644000176200001440000000106513275227031013657 0ustar liggesusers# Called only from C++ code, but currently needs to be implemented in R. zip_buffer <- function(zip_path, file_path) { files <- utils::unzip(zip_path, list = TRUE) indx <- match(file_path, files$Name) if (is.na(indx)) { stop("Couldn't find '", file_path, "' in '", zip_path, "'", call. = FALSE) } size <- files$Length[indx] con <- unz(zip_path, file_path, open = "rb") on.exit(close(con), add = TRUE) readBin(con, raw(), n = size) } zip_has_file <- function(zip_path, file_path) { file_path %in% utils::unzip(zip_path, list = TRUE)$Name } readxl/R/example.R0000644000176200001440000000100513071552553013512 0ustar liggesusers#' Get path to readxl example #' #' readxl comes bundled with some example files in its `inst/extdata` #' directory. This function make them easy to access. #' #' @param path Name of file. If `NULL`, the example files will be listed. #' @export #' @examples #' readxl_example() #' readxl_example("datasets.xlsx") readxl_example <- function(path = NULL) { if (is.null(path)) { dir(system.file("extdata", package = "readxl")) } else { system.file("extdata", path, package = "readxl", mustWork = TRUE) } } readxl/R/excel-sheets.R0000644000176200001440000000164714752732171014467 0ustar liggesusers#' List all sheets in an excel spreadsheet #' #' The list of sheet names is especially useful when you want to iterate over #' all of the sheets in a workbook. The [readxl Workflows article](https://readxl.tidyverse.org/articles/readxl-workflows.html) #' provides several worked examples of this, showing how to combine readxl with #' other packages in the tidyverse, such as purrr, or with base R functions like #' [lapply()]. #' #' @inheritParams read_excel #' @export #' @examples #' excel_sheets(readxl_example("datasets.xlsx")) #' excel_sheets(readxl_example("datasets.xls")) #' #' # To load all sheets in a workbook, use lapply() #' path <- readxl_example("datasets.xls") #' lapply(excel_sheets(path), read_excel, path = path) excel_sheets <- function(path) { path <- check_file(path) format <- check_format(path) path <- normalizePath(path) switch(format, xls = xls_sheets(path), xlsx = xlsx_sheets(path) ) } readxl/LICENSE.note0000644000176200001440000000303313406366260013507 0ustar liggesusers# libxls libxls -- A multiplatform, C/C++ library for parsing Excel(TM) files. Copyright 2004 Komarov Valery Copyright 2006 Christophe Leitienne Copyright 2008-2017 David Hoerl Copyright 2013 Bob Colbert Copyright 2013-2018 Evan Miller The included libxls code is licensed under the BSD 2-clause license: Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS ''AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDERS OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. readxl/vignettes/0000755000176200001440000000000014757502115013550 5ustar liggesusersreadxl/vignettes/sheet-geometry.Rmd0000644000176200001440000002153714402720577017166 0ustar liggesusers--- title: "Sheet Geometry" output: rmarkdown::html_vignette vignette: > %\VignetteIndexEntry{Sheet Geometry} %\VignetteEngine{knitr::rmarkdown} %\VignetteEncoding{UTF-8} --- ```{r include = FALSE} knitr::opts_chunk$set( collapse = TRUE, comment = "#>" ) options(tibble.print_min = 4, tibble.print_max = 4) ``` ```{r setup} library(readxl) ``` `readxl::read_excel()` brings data from a rectangle of cells into R as a data frame or, more specifically, a [tibble](https://tibble.tidyverse.org/reference/tibble.html). The extent of the data rectangle can be determined in various ways: * **Discovered**: By default, `read_excel()` uses the smallest rectangle that contains the non-empty cells. It "shrink wraps" the data. * **Bounded**: The `skip` and `n_max` arguments constrain `read_excel()`'s discovery process with respect to rows. At least `skip` spreadsheet rows will be skipped or ignored and at most `n_max` spreadsheet rows will be considered as data. Compared to the default of **discovery**, these arguments can only lead to making the output tibble smaller. * **Set**: The `range` argument is taken literally, even if that means you will have leading or trailing rows or columns filled with `NA`. If you ask for `range = "A1:D4"`, you are guaranteed to get a tibble with 4 columns (A through D) and either 3 rows (`col_names = TRUE`, default) or 4 rows (`col_names = FALSE`). * **Mixed**: In typical use, `read_excel()`'s geometry arguments often imply that certain limits are **discovered** while others are **bounded** or **set**. This will be more clear in the concrete examples below. For now, here are a few ways `read_excel()` can look when you take control of the geometry: ```{r eval = FALSE} read_excel("yo.xlsx", skip = 5) read_excel("yo.xlsx", n_max = 100) read_excel("yo.xlsx", skip = 5, n_max = 100) read_excel("yo.xlsx", range = "C1:E7") read_excel("yo.xlsx", range = cell_rows(6:23)) read_excel("yo.xlsx", range = cell_cols("B:D")) read_excel("yo.xlsx", range = anchored("C4", dim = c(3, 2))) ``` ## Little known Excel facts readxl's behavior and interface may be easier to understand if you understand this about Excel: > Cells you can see don't necessarily exist. Cells that look blank aren't necessarily so. Among lots of other information, Excel files obviously must contain information on each cell. Let's use the word "item" to denote one cell's-worth of info. Just because you see a cell on the screen in Excel, that doesn't mean there's a corresponding item on file. Why? Because Excel presents a huge gridded canvas for you to write on. Until you actually populate a cell, though, it doesn't really exist. The stream of cell items describes the existing cells, going from upper left to lower right, travelling by row. Blank cells simply do not exist in it. Ah, but what is a blank cell? Some cells appear blank to the naked eye but are not considered so by Excel and, indeed, are represented by a cell item. This happens when a cell has no content but does have an associated format. This format could have been applied directly to a single cell or, more often, indirectly via formatting applied to an entire row or column. Once a human has spent some quality time with a spreadsheet, many seemingly empty cells will bear a format and will thus have an associated cell item. ### Implications for readxl readxl only reads cell items that have content. It ignores cell items that exist strictly to convey formatting. The tibble returned by readxl will often cover cells that are empty in the spreadsheet, filled with `NA`. But only because there was some other reason for the associated row or column to exist: actual data or user-specified geometry. ## `skip` and `n_max` `skip` and `n_max` are the "entry-level" solution for controlling the data rectangle. They work only in the row direction. Column-wise, you're letting readxl discover which columns are populated. If you specify `range` (covered below), `skip` and `n_max` are ignored. ### `skip` The `skip` argument tells `read_excel()` to start looking for populated cells after skipping at least `skip` rows. If the new start point begins with 1 or more empty rows, `read_excel()` will skip even more before it starts reading from the sheet. Here's a screen shot of the `geometry.xlsx` example sheet that ships with readxl, accessible via `readxl_example("geometry.xlsx")`. ```{r out.width = '70%', echo = FALSE} #| fig-alt: Screenshot of the "geometry.xlsx" example spreadsheet. The cells in #| the range B3:D6 are populated, each with the string of the cell's #| address. For example, the cell B3 contains the string "B3". knitr::include_graphics("img/geometry.png") ``` By default, `read_excel()` just discovers the data rectangle: ```{r} read_excel(readxl_example("geometry.xlsx")) ``` If you explicitly skip one row, note that `read_excel()` still skips row 2, which is also empty, leading to the same result as before: ```{r} read_excel(readxl_example("geometry.xlsx"), skip = 1) ``` You can also use `skip` to skip over populated cells. In real life, this is a mighty weapon against the explanatory text that people like to include at the top of spreadsheets. ```{r} read_excel(readxl_example("geometry.xlsx"), skip = 3) ``` Summary: `skip` tells `read_excel()` to skip *at least this many* spreadsheet rows before reading anything. ### `n_max` The `n_max` argument tells `read_excel()` to read at most `n_max` rows, once it has found the data rectangle. Note that `n_max` is specifically about *the data*. You still use `col_names` to express whether the first spreadsheet row should be used to create column names (default is `TRUE`). `n_max = 2` causes us to ignore the last data row -- the 3rd one -- in `geometry.xlsx`. ```{r} read_excel(readxl_example("geometry.xlsx"), n_max = 2) ``` `n_max` is an upper bound. It will never cause empty rows to be included in the tibble. Note how we get 3 data rows here, even though `n_max` is much greater. ```{r} read_excel(readxl_example("geometry.xlsx"), n_max = 1000) ``` ## `range` The `range` argument is the most flexible way to control geometry and is powered by the [cellranger](https://github.com/rsheets/cellranger#readme) package. One huge difference from `skip` and `n_max` is that `range` is taken literally! Even if it means the returned tibble will have entire rows or columns consisting of `NA`. You can describe cell limits in a variety of ways: **Excel-style range**: Specify a fixed rectangle with `range = "A1:D4"` or `range = "R1C1:R4C4"`. You can even prepend the worksheet name like so: `range = "foofy!A1:D4"` and it will be passed along to the `sheet` argument. The `deaths.xlsx` example sheet features junk rows both before and after the data rectangle. The payoff for specifying the data rectangle precisely is that we get the data frame we want, with correct guesses for the column types. ```{r} read_excel(readxl_example("deaths.xlsx"), range = "arts!A5:F15") ``` We repeat the screenshot of `geometry.xlsx` as a visual reference. ```{r out.width = '70%', echo = FALSE} #| fig-alt: Screenshot of the "geometry.xlsx" example spreadsheet. The cells in #| the range B3:D6 are populated, each with the string of the cell's #| address. For example, the cell B3 contains the string "B3". knitr::include_graphics("img/geometry.png") ``` Going back to `geometry.xlsx`, here we specify a rectangle that only partially overlaps the data. Note the use of default column names, because the first row of cells is empty, and the leading column of `NA`s. ```{r} read_excel(readxl_example("geometry.xlsx"), range = "A2:C4") ``` **Specific range of rows or columns**: Set exact limits on just the rows or just the columns and allow the limits in the other direction to be discovered. Example calls: ```{r eval = FALSE} ## rows only read_excel(..., range = cell_rows(1:10)) ## is equivalent to read_excel(..., range = cell_rows(c(1, 10))) ## columns only read_excel(..., range = cell_cols(1:26)) ## is equivalent to all of these read_excel(..., range = cell_cols(c(1, 26))) read_excel(..., range = cell_cols("A:Z")) read_excel(..., range = cell_cols(LETTERS)) read_excel(..., range = cell_cols(c("A", "Z")) ``` We use `geometry.xlsx` to demonstrate setting hard limits on the rows, running past the data, while allowing column limits to discovered. Note the trailing rows of `NA`. ```{r} read_excel(readxl_example("geometry.xlsx"), range = cell_rows(4:8)) ``` **Anchored rectangle**: Helper functions `anchored()` and `cell_limits()` let you specify limits via the corner(s) of the rectangle. Here we get a 3 by 4 rectangle with cell C5 as the upper left corner: ```{r} read_excel( readxl_example("geometry.xlsx"), col_names = paste("var", 1:4, sep = "_"), range = anchored("C5", c(3, 4)) ) ``` Here we set C5 as the upper left corner and allow the other limits to be discovered: ```{r} read_excel( readxl_example("geometry.xlsx"), col_names = FALSE, range = cell_limits(c(5, 3), c(NA, NA)) ) ``` readxl/vignettes/cell-and-column-types.Rmd0000644000176200001440000002523714402717322020334 0ustar liggesusers--- title: "Cell and Column Types" output: rmarkdown::html_vignette vignette: > %\VignetteIndexEntry{Cell and Column Types} %\VignetteEngine{knitr::rmarkdown} %\VignetteEncoding{UTF-8} --- ```{r include = FALSE} knitr::opts_chunk$set( collapse = TRUE, comment = "#>" ) options(tibble.print_min = 4, tibble.print_max = 4) ``` ```{r setup} library(readxl) ``` `readxl::read_excel()` will guess column types, by default, or you can provide them explicitly via the `col_types` argument. The `col_types` argument is more flexible than you might think; you can mix actual types in with `"skip"` and `"guess"` and a single type will be recycled to the necessary length. Here are different ways this might look: ```{r eval = FALSE} read_excel("yo.xlsx") read_excel("yo.xlsx", col_types = "numeric") read_excel("yo.xlsx", col_types = c("date", "skip", "guess", "numeric")) ``` ## Type guessing If you use other packages in the [tidyverse](https://www.tidyverse.org/), you are probably familiar with [readr](https://readr.tidyverse.org/), which reads data from flat files. Like readxl, readr also provides column type guessing, but readr and readxl are very different under the hood. * readr guesses column type *based on the data*. * readxl guesses column type *based on Excel cell types*. Each cell in an Excel spreadsheet has its own type. For all intents and purposes, they are:        empty < boolean < numeric < text with the wrinkle that datetimes are a very special flavor of numeric. A cell of any particular type can always be represented as one of any higher type and, possibly, as one of lower type. When guessing, `read_excel()` keeps a running "maximum" on the cell types it has seen in any given column. Once it has visited `guess_max` rows or run out of data, this is the guessed type for that column. There is a strong current towards "text", the column type of last resort. Here's an example of column guessing with `deaths.xlsx` which ships with readxl. ```{r} read_excel(readxl_example("deaths.xlsx"), range = cell_rows(5:15)) ``` ## Excel types, R types, `col_types` Here's how the Excel cell/column types are translated into R types and how to force the type explicitly in `col_types`: | How it is in Excel | How it will be in R | How to request in `col_types` | |--------------------|-------------------------|-------------------------------| | *anything* | *non-existent* | `"skip"` | | empty | `logical`, but all `NA` | *you cannot request this* | | boolean | `logical` | `"logical"` | | numeric | `numeric` | `"numeric"` | | datetime | `POSIXct` | `"date"` | | text | `character` | `"text"` | | *anything* | `list` | `"list"` | Some explanation about the weird cases in the first two rows: * If a column falls in your data rectangle, but you do not want an associated variable in the output, specify the column type `"skip"`. Internally, these cells may be visited in order to learn their location, but they are not loaded and their data is never read. * You cannot request that a column be included but filled with `NA`s. Such a column can arise naturally, if all the cells are empty, or you can skip a column (see previous point). Example of skipping and guessing: ```{r} read_excel( readxl_example("deaths.xlsx"), range = cell_rows(5:15), col_types = c("guess", "skip", "guess", "skip", "skip", "skip") ) ``` More about the `"list"` column type in the last row: * This will create a list-column in the output, each component of which is a length one atomic vector. The type of these vectors is determined using the logic described above. This can be useful if data of truly disparate type is arranged in a column. We demonstrate the `"list"` column type using the `clippy.xlsx` sheet that ship with Excel. Its second column holds information about Clippy that would be really hard to store with just one type. ```{r} (clippy <- read_excel(readxl_example("clippy.xlsx"), col_types = c("text", "list"))) tibble::deframe(clippy) sapply(clippy$value, class) ``` Final note: all datetimes are imported as having the UTC timezone, because, mercifully, Excel has no notion of timezones. ## When column guessing goes wrong It's pretty common to expect a column to import as, say, numeric or datetime. And to then be sad when it imports as character instead. Two main causes: **Contamination by embedded missing or bad data of incompatible type.** Example: missing data entered as `??` in a numeric column. * Fix: use the `na` argument of `read_excel()` to describe all possible forms for missing data. This should prevent such cells from influencing type guessing and cause them to import as `NA` of the appropriate type. **Contamination of the data rectangle by leading or trailing non-data rows.** Example: the sheet contains a few lines of explanatory prose before the data table begins. * Fix: specify the target rectangle. Use `skip` and `n_max` to provide a minimum number of rows to skip and a maximum number of data rows to read, respectively. Or use the more powerful `range` argument to describe the cell rectangle in various ways. See the examples for `read_excel()` help or `vignette("sheet-geometry")` for more detail. The `deaths.xlsx` sheet demonstrates this perfectly. Here's how it imports if we don't specify `range` as we did above: ```{r} deaths <- read_excel(readxl_example("deaths.xlsx")) print(deaths, n = Inf) ``` Non-data rows above and below the main data rectangle are causing all the columns to import as character. If your column typing problem can't be solved by specifying `na` or the data rectangle, request the `"list"` column type and handle missing data and coercion after import. ### Peek at column names Sometimes you aren't completely sure of column count or order, and yet you need to provide *some* information via `col_types`. For example, you might know that the column named "foofy" should be text, but you're not sure where it appears. Or maybe you want to ensure that lots of empty cells at the top of "foofy" don't cause it to be guessed as logical. Here's an efficient trick to get the column names, so you can programmatically build the `col_types` vector you need for your main reading of the Excel file. Let's imagine I want to force the columns whose names include "Petal" to be text, but leave everything else to be guessed. ```{r} (nms <- names(read_excel(readxl_example("datasets.xlsx"), n_max = 0))) (ct <- ifelse(grepl("^Petal", nms), "text", "guess")) read_excel(readxl_example("datasets.xlsx"), col_types = ct) ``` ## Square pegs in round holes You can force a column to have a specific type via `col_types`. So what happens to cells of another type? They will either be coerced to the requested type or to an `NA` of appropriate type. For each column type, below we present a screen shot of a sheet from the built-in example `type-me.xlsx`. We force the first column to have a specific type and the second column explains what is in the first. You'll see how mismatches between cell type and column type are resolved. ### Logical column A numeric cell is coerced to `FALSE` if it is zero and `TRUE` otherwise. A date cell becomes `NA`. Just like in R, the strings "T", "TRUE", "True", and "true" are regarded as `TRUE` and "F", "FALSE", "False", "false" as `FALSE`. Other strings import as `NA`. ```{r} df <- read_excel(readxl_example("type-me.xlsx"), sheet = "logical_coercion", col_types = c("logical", "text")) print(df, n = Inf) ``` ```{r out.width = '70%', echo = FALSE} #| fig-alt: Screenshot of the worksheet named "logical_coercion" inside the #| "type-me.xlsx" example spreadsheet. The cells in the first column #| (column A) have very mixed contents, such as empty, datetime, or string. #| The cells in the second column (column B) describe the contents of the #| first column in precise language. knitr::include_graphics("img/type-me-logical.png") ``` ### Numeric column A boolean cell is coerced to zero if `FALSE` and one if `TRUE`. A datetime comes in as the underlying serial date, which is the number of days, possibly fractional, since the [date origin](https://learn.microsoft.com/en-US/office/troubleshoot/excel/1900-and-1904-date-system). For text, numeric conversion is attempted, to handle the "number as text" phenomenon. If unsuccessful, text cells import as `NA`. ```{r} df <- read_excel(readxl_example("type-me.xlsx"), sheet = "numeric_coercion", col_types = c("numeric", "text")) print(df, n = Inf) ``` ```{r out.width = '70%', echo = FALSE} #| fig-alt: Screenshot of the worksheet named "numeric_coercion" inside the #| "type-me.xlsx" example spreadsheet. The cells in the first column #| (column A) have very mixed contents, such as empty, datetime, or string. #| The cells in the second column (column B) describe the contents of the #| first column in precise language. knitr::include_graphics("img/type-me-numeric.png") ``` ### Date column A numeric cell is interpreted as a serial date (*I'm questioning whether this is wise, but *). Boolean or text cells become `NA`. ```{r} df <- read_excel(readxl_example("type-me.xlsx"), sheet = "date_coercion", col_types = c("date", "text")) print(df, n = Inf) ``` ```{r out.width = '70%', echo = FALSE} #| fig-alt: Screenshot of the worksheet named "date_coercion" inside the #| "type-me.xlsx" example spreadsheet. The cells in the first column #| (column A) have very mixed contents, such as empty, datetime, or string. #| The cells in the second column (column B) describe the contents of the #| first column in precise language. knitr::include_graphics("img/type-me-date.png") ``` ### Text or character column A boolean cell becomes either `"TRUE"` or `"FALSE"`. A numeric cell is converted to character, much like `as.character()` in R. A date cell is handled like numeric, using the underlying serial value. ```{r} df <- read_excel(readxl_example("type-me.xlsx"), sheet = "text_coercion", col_types = c("text", "text")) print(df, n = Inf) ``` ```{r out.width = '70%', echo = FALSE} #| fig-alt: Screenshot of the worksheet named "text_coercion" inside the #| "type-me.xlsx" example spreadsheet. 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See print() function. /////////////////////////////////////////////////////////////////////// // Internal //! \cond internal namespace internal { /////////////////////////////////////////////////////////////////////////// // Internal character operations // Copy characters from given range to given output iterator template inline OutIt copy_chars(const Ch *begin, const Ch *end, OutIt out) { while (begin != end) *out++ = *begin++; return out; } // Copy characters from given range to given output iterator and expand // characters into references (< > ' " &) template inline OutIt copy_and_expand_chars(const Ch *begin, const Ch *end, Ch noexpand, OutIt out) { while (begin != end) { if (*begin == noexpand) { *out++ = *begin; // No expansion, copy character } else { switch (*begin) { case Ch('<'): *out++ = Ch('&'); *out++ = Ch('l'); *out++ = Ch('t'); *out++ = Ch(';'); break; case Ch('>'): *out++ = Ch('&'); *out++ = Ch('g'); *out++ = Ch('t'); *out++ = Ch(';'); break; case Ch('\''): *out++ = Ch('&'); *out++ = Ch('a'); *out++ = Ch('p'); *out++ = Ch('o'); *out++ = Ch('s'); *out++ = Ch(';'); break; case Ch('"'): *out++ = Ch('&'); *out++ = Ch('q'); *out++ = Ch('u'); *out++ = Ch('o'); *out++ = Ch('t'); *out++ = Ch(';'); break; case Ch('&'): *out++ = Ch('&'); *out++ = Ch('a'); *out++ = Ch('m'); *out++ = Ch('p'); *out++ = Ch(';'); break; default: *out++ = *begin; // No expansion, copy character } } ++begin; // Step to next character } return out; } // Fill given output iterator with repetitions of the same character template inline OutIt fill_chars(OutIt out, int n, Ch ch) { for (int i = 0; i < n; ++i) *out++ = ch; return out; } // Find character template inline bool find_char(const Ch *begin, const Ch *end) { while (begin != end) if (*begin++ == ch) return true; return false; } /////////////////////////////////////////////////////////////////////////// // Internal printing operations // ===================================== // fix for clang for this bug in gcc and others: http://sourceforge.net/p/rapidxml/bugs/16/ template inline OutIt print_children(OutIt out, const xml_node *node, int flags, int indent); template inline OutIt print_element_node(OutIt out, const xml_node *node, int flags, int indent); template inline OutIt print_data_node(OutIt out, const xml_node *node, int flags, int indent); template inline OutIt print_cdata_node(OutIt out, const xml_node *node, int flags, int indent); template inline OutIt print_declaration_node(OutIt out, const xml_node *node, int flags, int indent); template inline OutIt print_comment_node(OutIt out, const xml_node *node, int flags, int indent); template inline OutIt print_doctype_node(OutIt out, const xml_node *node, int flags, int indent); template inline OutIt print_pi_node(OutIt out, const xml_node *node, int flags, int indent); // Print node template inline OutIt print_node(OutIt out, const xml_node *node, int flags, int indent) { // Print proper node type switch (node->type()) { // Document case node_document: out = print_children(out, node, flags, indent); break; // Element case node_element: out = print_element_node(out, node, flags, indent); break; // Data case node_data: out = print_data_node(out, node, flags, indent); break; // CDATA case node_cdata: out = print_cdata_node(out, node, flags, indent); break; // Declaration case node_declaration: out = print_declaration_node(out, node, flags, indent); break; // Comment case node_comment: out = print_comment_node(out, node, flags, indent); break; // Doctype case node_doctype: out = print_doctype_node(out, node, flags, indent); break; // Pi case node_pi: out = print_pi_node(out, node, flags, indent); break; // Unknown default: assert(0); break; } // If indenting not disabled, add line break after node if (!(flags & print_no_indenting)) *out = Ch('\n'), ++out; // Return modified iterator return out; } // Print children of the node template inline OutIt print_children(OutIt out, const xml_node *node, int flags, int indent) { for (xml_node *child = node->first_node(); child; child = child->next_sibling()) out = print_node(out, child, flags, indent); return out; } // Print attributes of the node template inline OutIt print_attributes(OutIt out, const xml_node *node, int flags) { for (xml_attribute *attribute = node->first_attribute(); attribute; attribute = attribute->next_attribute()) { if (attribute->name() && attribute->value()) { // Print attribute name *out = Ch(' '), ++out; out = copy_chars(attribute->name(), attribute->name() + attribute->name_size(), out); *out = Ch('='), ++out; // Print attribute value using appropriate quote type if (find_char(attribute->value(), attribute->value() + attribute->value_size())) { *out = Ch('\''), ++out; out = copy_and_expand_chars(attribute->value(), attribute->value() + attribute->value_size(), Ch('"'), out); *out = Ch('\''), ++out; } else { *out = Ch('"'), ++out; out = copy_and_expand_chars(attribute->value(), attribute->value() + attribute->value_size(), Ch('\''), out); *out = Ch('"'), ++out; } } } return out; } // Print data node template inline OutIt print_data_node(OutIt out, const xml_node *node, int flags, int indent) { assert(node->type() == node_data); if (!(flags & print_no_indenting)) out = fill_chars(out, indent * 2, Ch(' ')); out = copy_and_expand_chars(node->value(), node->value() + node->value_size(), Ch(0), out); return out; } // Print data node template inline OutIt print_cdata_node(OutIt out, const xml_node *node, int flags, int indent) { assert(node->type() == node_cdata); if (!(flags & print_no_indenting)) out = fill_chars(out, indent * 2, Ch(' ')); *out = Ch('<'); ++out; *out = Ch('!'); ++out; *out = Ch('['); ++out; *out = Ch('C'); ++out; *out = Ch('D'); ++out; *out = Ch('A'); ++out; *out = Ch('T'); ++out; *out = Ch('A'); ++out; *out = Ch('['); ++out; out = copy_chars(node->value(), node->value() + node->value_size(), out); *out = Ch(']'); ++out; *out = Ch(']'); ++out; *out = Ch('>'); ++out; return out; } // Print element node template inline OutIt print_element_node(OutIt out, const xml_node *node, int flags, int indent) { assert(node->type() == node_element); // Print element name and attributes, if any if (!(flags & print_no_indenting)) out = fill_chars(out, indent * 2, Ch(' ')); *out = Ch('<'), ++out; out = copy_chars(node->name(), node->name() + node->name_size(), out); out = print_attributes(out, node, flags); // If node is childless if (node->value_size() == 0 && !node->first_node()) { // Print childless node tag ending *out = Ch('/'), ++out; *out = Ch('>'), ++out; } else { // Print normal node tag ending *out = Ch('>'), ++out; // Test if node contains a single data node only (and no other nodes) xml_node *child = node->first_node(); if (!child) { // If node has no children, only print its value without indenting out = copy_and_expand_chars(node->value(), node->value() + node->value_size(), Ch(0), out); } else if (child->next_sibling() == 0 && child->type() == node_data) { // If node has a sole data child, only print its value without indenting out = copy_and_expand_chars(child->value(), child->value() + child->value_size(), Ch(0), out); } else { // Print all children with full indenting if (!(flags & print_no_indenting)) *out = Ch('\n'), ++out; out = print_children(out, node, flags, indent + 1); if (!(flags & print_no_indenting)) out = fill_chars(out, indent * 2, Ch(' ')); } // Print node end *out = Ch('<'), ++out; *out = Ch('/'), ++out; out = copy_chars(node->name(), node->name() + node->name_size(), out); *out = Ch('>'), ++out; } return out; } // Print declaration node template inline OutIt print_declaration_node(OutIt out, const xml_node *node, int flags, int indent) { // Print declaration start if (!(flags & print_no_indenting)) out = fill_chars(out, indent * 2, Ch(' ')); *out = Ch('<'), ++out; *out = Ch('?'), ++out; *out = Ch('x'), ++out; *out = Ch('m'), ++out; *out = Ch('l'), ++out; // Print attributes out = print_attributes(out, node, flags); // Print declaration end *out = Ch('?'), ++out; *out = Ch('>'), ++out; return out; } // Print comment node template inline OutIt print_comment_node(OutIt out, const xml_node *node, int flags, int indent) { assert(node->type() == node_comment); if (!(flags & print_no_indenting)) out = fill_chars(out, indent * 2, Ch(' ')); *out = Ch('<'), ++out; *out = Ch('!'), ++out; *out = Ch('-'), ++out; *out = Ch('-'), ++out; out = copy_chars(node->value(), node->value() + node->value_size(), out); *out = Ch('-'), ++out; *out = Ch('-'), ++out; *out = Ch('>'), ++out; return out; } // Print doctype node template inline OutIt print_doctype_node(OutIt out, const xml_node *node, int flags, int indent) { assert(node->type() == node_doctype); if (!(flags & print_no_indenting)) out = fill_chars(out, indent * 2, Ch(' ')); *out = Ch('<'), ++out; *out = Ch('!'), ++out; *out = Ch('D'), ++out; *out = Ch('O'), ++out; *out = Ch('C'), ++out; *out = Ch('T'), ++out; *out = Ch('Y'), ++out; *out = Ch('P'), ++out; *out = Ch('E'), ++out; *out = Ch(' '), ++out; out = copy_chars(node->value(), node->value() + node->value_size(), out); *out = Ch('>'), ++out; return out; } // Print pi node template inline OutIt print_pi_node(OutIt out, const xml_node *node, int flags, int indent) { assert(node->type() == node_pi); if (!(flags & print_no_indenting)) out = fill_chars(out, indent * 2, Ch(' ')); *out = Ch('<'), ++out; *out = Ch('?'), ++out; out = copy_chars(node->name(), node->name() + node->name_size(), out); *out = Ch(' '), ++out; out = copy_chars(node->value(), node->value() + node->value_size(), out); *out = Ch('?'), ++out; *out = Ch('>'), ++out; return out; } } //! \endcond /////////////////////////////////////////////////////////////////////////// // Printing //! Prints XML to given output iterator. //! \param out Output iterator to print to. //! \param node Node to be printed. Pass xml_document to print entire document. //! \param flags Flags controlling how XML is printed. //! \return Output iterator pointing to position immediately after last character of printed text. template inline OutIt print(OutIt out, const xml_node &node, int flags = 0) { return internal::print_node(out, &node, flags, 0); } #ifndef RAPIDXML_NO_STREAMS //! Prints XML to given output stream. //! \param out Output stream to print to. //! \param node Node to be printed. Pass xml_document to print entire document. //! \param flags Flags controlling how XML is printed. //! \return Output stream. template inline std::basic_ostream &print(std::basic_ostream &out, const xml_node &node, int flags = 0) { print(std::ostream_iterator(out), node, flags); return out; } //! Prints formatted XML to given output stream. Uses default printing flags. Use print() function to customize printing process. //! \param out Output stream to print to. //! \param node Node to be printed. //! \return Output stream. template inline std::basic_ostream &operator <<(std::basic_ostream &out, const xml_node &node) { return print(out, node); } #endif } #endif readxl/src/rapidxml/rapidxml.h0000755000176200001440000035305614216663505016160 0ustar liggesusers#ifndef RAPIDXML_HPP_INCLUDED #define RAPIDXML_HPP_INCLUDED // Copyright (C) 2006, 2009 Marcin Kalicinski // Version 1.13 // Revision $DateTime: 2009/05/13 01:46:17 $ //! \file rapidxml.hpp This file contains rapidxml parser and DOM implementation // If standard library is disabled, user must provide implementations of required functions and typedefs #if !defined(RAPIDXML_NO_STDLIB) #include // For std::size_t #include // For assert #include // For placement new #endif // On MSVC, disable "conditional expression is constant" warning (level 4). // This warning is almost impossible to avoid with certain types of templated code #ifdef _MSC_VER #pragma warning(push) #pragma warning(disable:4127) // Conditional expression is constant #endif /////////////////////////////////////////////////////////////////////////// // RAPIDXML_PARSE_ERROR #if defined(RAPIDXML_NO_EXCEPTIONS) #define RAPIDXML_PARSE_ERROR(what, where) { parse_error_handler(what, where); assert(0); } namespace rapidxml { //! When exceptions are disabled by defining RAPIDXML_NO_EXCEPTIONS, //! this function is called to notify user about the error. //! It must be defined by the user. //!

//! This function cannot return. If it does, the results are undefined. //!

//! A very simple definition might look like that: //! 

    //! void %rapidxml::%parse_error_handler(const char *what, void *where)
    //! {
    //!     std::cout << "Parse error: " << what << "\n";
    //!     std::abort();
    //! }
    //!
//! \param what Human readable description of the error. //! \param where Pointer to character data where error was detected. void parse_error_handler(const char *what, void *where); } #else #include // For std::exception #define RAPIDXML_PARSE_ERROR(what, where) throw parse_error(what, where) namespace rapidxml { //! Parse error exception. //! This exception is thrown by the parser when an error occurs. //! Use what() function to get human-readable error message. //! Use where() function to get a pointer to position within source text where error was detected. //!

//! If throwing exceptions by the parser is undesirable, //! it can be disabled by defining RAPIDXML_NO_EXCEPTIONS macro before rapidxml.hpp is included. //! This will cause the parser to call rapidxml::parse_error_handler() function instead of throwing an exception. //! This function must be defined by the user. //!

//! This class derives from std::exception class. class parse_error: public std::exception { public: //! Constructs parse error parse_error(const char *what, void *where) : m_what(what) , m_where(where) { } //! Gets human readable description of error. //! \return Pointer to null terminated description of the error. virtual const char *what() const throw() { return m_what; } //! Gets pointer to character data where error happened. //! Ch should be the same as char type of xml_document that produced the error. //! \return Pointer to location within the parsed string where error occured. template Ch *where() const { return reinterpret_cast(m_where); } private: const char *m_what; void *m_where; }; } #endif /////////////////////////////////////////////////////////////////////////// // Pool sizes #ifndef RAPIDXML_STATIC_POOL_SIZE // Size of static memory block of memory_pool. // Define RAPIDXML_STATIC_POOL_SIZE before including rapidxml.hpp if you want to override the default value. // No dynamic memory allocations are performed by memory_pool until static memory is exhausted. #define RAPIDXML_STATIC_POOL_SIZE (64 * 1024) #endif #ifndef RAPIDXML_DYNAMIC_POOL_SIZE // Size of dynamic memory block of memory_pool. // Define RAPIDXML_DYNAMIC_POOL_SIZE before including rapidxml.hpp if you want to override the default value. // After the static block is exhausted, dynamic blocks with approximately this size are allocated by memory_pool. #define RAPIDXML_DYNAMIC_POOL_SIZE (64 * 1024) #endif #ifndef RAPIDXML_ALIGNMENT // Memory allocation alignment. // Define RAPIDXML_ALIGNMENT before including rapidxml.hpp if you want to override the default value, which is the size of pointer. // All memory allocations for nodes, attributes and strings will be aligned to this value. // This must be a power of 2 and at least 1, otherwise memory_pool will not work. #define RAPIDXML_ALIGNMENT sizeof(void *) #endif namespace rapidxml { // Forward declarations template class xml_node; template class xml_attribute; template class xml_document; //! Enumeration listing all node types produced by the parser. //! Use xml_node::type() function to query node type. enum node_type { node_document, //!< A document node. Name and value are empty. node_element, //!< An element node. Name contains element name. Value contains text of first data node. node_data, //!< A data node. Name is empty. Value contains data text. node_cdata, //!< A CDATA node. Name is empty. Value contains data text. node_comment, //!< A comment node. Name is empty. Value contains comment text. node_declaration, //!< A declaration node. Name and value are empty. Declaration parameters (version, encoding and standalone) are in node attributes. node_doctype, //!< A DOCTYPE node. Name is empty. Value contains DOCTYPE text. node_pi //!< A PI node. Name contains target. Value contains instructions. }; /////////////////////////////////////////////////////////////////////// // Parsing flags //! Parse flag instructing the parser to not create data nodes. //! Text of first data node will still be placed in value of parent element, unless rapidxml::parse_no_element_values flag is also specified. //! Can be combined with other flags by use of | operator. //!

//! See xml_document::parse() function. const int parse_no_data_nodes = 0x1; //! Parse flag instructing the parser to not use text of first data node as a value of parent element. //! Can be combined with other flags by use of | operator. //! Note that child data nodes of element node take precendence over its value when printing. //! That is, if element has one or more child data nodes and a value, the value will be ignored. //! Use rapidxml::parse_no_data_nodes flag to prevent creation of data nodes if you want to manipulate data using values of elements. //!

//! See xml_document::parse() function. const int parse_no_element_values = 0x2; //! Parse flag instructing the parser to not place zero terminators after strings in the source text. //! By default zero terminators are placed, modifying source text. //! Can be combined with other flags by use of | operator. //!

//! See xml_document::parse() function. const int parse_no_string_terminators = 0x4; //! Parse flag instructing the parser to not translate entities in the source text. //! By default entities are translated, modifying source text. //! Can be combined with other flags by use of | operator. //!

//! See xml_document::parse() function. const int parse_no_entity_translation = 0x8; //! Parse flag instructing the parser to disable UTF-8 handling and assume plain 8 bit characters. //! By default, UTF-8 handling is enabled. //! Can be combined with other flags by use of | operator. //!

//! See xml_document::parse() function. const int parse_no_utf8 = 0x10; //! Parse flag instructing the parser to create XML declaration node. //! By default, declaration node is not created. //! Can be combined with other flags by use of | operator. //!

//! See xml_document::parse() function. const int parse_declaration_node = 0x20; //! Parse flag instructing the parser to create comments nodes. //! By default, comment nodes are not created. //! Can be combined with other flags by use of | operator. //!

//! See xml_document::parse() function. const int parse_comment_nodes = 0x40; //! Parse flag instructing the parser to create DOCTYPE node. //! By default, doctype node is not created. //! Although W3C specification allows at most one DOCTYPE node, RapidXml will silently accept documents with more than one. //! Can be combined with other flags by use of | operator. //!

//! See xml_document::parse() function. const int parse_doctype_node = 0x80; //! Parse flag instructing the parser to create PI nodes. //! By default, PI nodes are not created. //! Can be combined with other flags by use of | operator. //!

//! See xml_document::parse() function. const int parse_pi_nodes = 0x100; //! Parse flag instructing the parser to validate closing tag names. //! If not set, name inside closing tag is irrelevant to the parser. //! By default, closing tags are not validated. //! Can be combined with other flags by use of | operator. //!

//! See xml_document::parse() function. const int parse_validate_closing_tags = 0x200; //! Parse flag instructing the parser to trim all leading and trailing whitespace of data nodes. //! By default, whitespace is not trimmed. //! This flag does not cause the parser to modify source text. //! Can be combined with other flags by use of | operator. //!

//! See xml_document::parse() function. const int parse_trim_whitespace = 0x400; //! Parse flag instructing the parser to condense all whitespace runs of data nodes to a single space character. //! Trimming of leading and trailing whitespace of data is controlled by rapidxml::parse_trim_whitespace flag. //! By default, whitespace is not normalized. //! If this flag is specified, source text will be modified. //! Can be combined with other flags by use of | operator. //!

//! See xml_document::parse() function. const int parse_normalize_whitespace = 0x800; // part of the readxl namespace-prefix-stripping patch //! Parse flag instructing the parser to strip any XML namespace identifiers from element names and attributes. //! Turning this flag on will remove the namespace prefix and colon from all tags and attributes. //! By default, XML namespace identifiers are left as part of the names of tags and attributes. //! This flag does not cause the parser to modify source text. //! Can be combined with other flags by use of | operator. //!

//! See xml_document::parse() function. const int parse_strip_xml_namespaces = 0x1000; // Compound flags //! Parse flags which represent default behaviour of the parser. //! This is always equal to 0, so that all other flags can be simply ored together. //! Normally there is no need to inconveniently disable flags by anding with their negated (~) values. //! This also means that meaning of each flag is a negation of the default setting. //! For example, if flag name is rapidxml::parse_no_utf8, it means that utf-8 is enabled by default, //! and using the flag will disable it. //!

//! See xml_document::parse() function. const int parse_default = 0; //! A combination of parse flags that forbids any modifications of the source text. //! This also results in faster parsing. However, note that the following will occur: //!
    //!
  • names and values of nodes will not be zero terminated, you have to use xml_base::name_size() and xml_base::value_size() functions to determine where name and value ends
    • //!
  • entities will not be translated
    • //!
  • whitespace will not be normalized
    • //!
//! See xml_document::parse() function. const int parse_non_destructive = parse_no_string_terminators | parse_no_entity_translation; //! A combination of parse flags resulting in fastest possible parsing, without sacrificing important data. //!

//! See xml_document::parse() function. const int parse_fastest = parse_non_destructive | parse_no_data_nodes; //! A combination of parse flags resulting in largest amount of data being extracted. //! This usually results in slowest parsing. //!

//! See xml_document::parse() function. const int parse_full = parse_declaration_node | parse_comment_nodes | parse_doctype_node | parse_pi_nodes | parse_validate_closing_tags; /////////////////////////////////////////////////////////////////////// // Internals //! \cond internal namespace internal { // Struct that contains lookup tables for the parser // It must be a template to allow correct linking (because it has static data members, which are defined in a header file). template struct lookup_tables { static const unsigned char lookup_whitespace[256]; // Whitespace table static const unsigned char lookup_node_name[256]; // Node name table static const unsigned char lookup_text[256]; // Text table static const unsigned char lookup_text_pure_no_ws[256]; // Text table static const unsigned char lookup_text_pure_with_ws[256]; // Text table static const unsigned char lookup_attribute_name[256]; // Attribute name table static const unsigned char lookup_attribute_data_1[256]; // Attribute data table with single quote static const unsigned char lookup_attribute_data_1_pure[256]; // Attribute data table with single quote static const unsigned char lookup_attribute_data_2[256]; // Attribute data table with double quotes static const unsigned char lookup_attribute_data_2_pure[256]; // Attribute data table with double quotes static const unsigned char lookup_digits[256]; // Digits static const unsigned char lookup_upcase[256]; // To uppercase conversion table for ASCII characters }; // Find length of the string template inline std::size_t measure(const Ch *p) { const Ch *tmp = p; while (*tmp) ++tmp; return tmp - p; } // Compare strings for equality template inline bool compare(const Ch *p1, std::size_t size1, const Ch *p2, std::size_t size2, bool case_sensitive) { if (size1 != size2) return false; if (case_sensitive) { for (const Ch *end = p1 + size1; p1 < end; ++p1, ++p2) if (*p1 != *p2) return false; } else { for (const Ch *end = p1 + size1; p1 < end; ++p1, ++p2) if (lookup_tables<0>::lookup_upcase[static_cast(*p1)] != lookup_tables<0>::lookup_upcase[static_cast(*p2)]) return false; } return true; } } //! \endcond /////////////////////////////////////////////////////////////////////// // Memory pool //! This class is used by the parser to create new nodes and attributes, without overheads of dynamic memory allocation. //! In most cases, you will not need to use this class directly. //! However, if you need to create nodes manually or modify names/values of nodes, //! you are encouraged to use memory_pool of relevant xml_document to allocate the memory. //! Not only is this faster than allocating them by using new operator, //! but also their lifetime will be tied to the lifetime of document, //! possibly simplyfing memory management. //!

//! Call allocate_node() or allocate_attribute() functions to obtain new nodes or attributes from the pool. //! You can also call allocate_string() function to allocate strings. //! Such strings can then be used as names or values of nodes without worrying about their lifetime. //! Note that there is no free() function -- all allocations are freed at once when clear() function is called, //! or when the pool is destroyed. //!

//! It is also possible to create a standalone memory_pool, and use it //! to allocate nodes, whose lifetime will not be tied to any document. //!

//! Pool maintains RAPIDXML_STATIC_POOL_SIZE bytes of statically allocated memory. //! Until static memory is exhausted, no dynamic memory allocations are done. //! When static memory is exhausted, pool allocates additional blocks of memory of size RAPIDXML_DYNAMIC_POOL_SIZE each, //! by using global new[] and delete[] operators. //! This behaviour can be changed by setting custom allocation routines. //! Use set_allocator() function to set them. //!

//! Allocations for nodes, attributes and strings are aligned at RAPIDXML_ALIGNMENT bytes. //! This value defaults to the size of pointer on target architecture. //!

//! To obtain absolutely top performance from the parser, //! it is important that all nodes are allocated from a single, contiguous block of memory. //! Otherwise, cache misses when jumping between two (or more) disjoint blocks of memory can slow down parsing quite considerably. //! If required, you can tweak RAPIDXML_STATIC_POOL_SIZE, RAPIDXML_DYNAMIC_POOL_SIZE and RAPIDXML_ALIGNMENT //! to obtain best wasted memory to performance compromise. //! To do it, define their values before rapidxml.hpp file is included. //! \param Ch Character type of created nodes. template class memory_pool { public: //! \cond internal typedef void *(alloc_func)(std::size_t); // Type of user-defined function used to allocate memory typedef void (free_func)(void *); // Type of user-defined function used to free memory //! \endcond //! Constructs empty pool with default allocator functions. memory_pool() : m_alloc_func(0) , m_free_func(0) { init(); } //! Destroys pool and frees all the memory. //! This causes memory occupied by nodes allocated by the pool to be freed. //! Nodes allocated from the pool are no longer valid. ~memory_pool() { clear(); } //! Allocates a new node from the pool, and optionally assigns name and value to it. //! If the allocation request cannot be accomodated, this function will throw std::bad_alloc. //! If exceptions are disabled by defining RAPIDXML_NO_EXCEPTIONS, this function //! will call rapidxml::parse_error_handler() function. //! \param type Type of node to create. //! \param name Name to assign to the node, or 0 to assign no name. //! \param value Value to assign to the node, or 0 to assign no value. //! \param name_size Size of name to assign, or 0 to automatically calculate size from name string. //! \param value_size Size of value to assign, or 0 to automatically calculate size from value string. //! \return Pointer to allocated node. This pointer will never be NULL. xml_node *allocate_node(node_type type, const Ch *name = 0, const Ch *value = 0, std::size_t name_size = 0, std::size_t value_size = 0) { void *memory = allocate_aligned(sizeof(xml_node)); xml_node *node = new(memory) xml_node(type); if (name) { if (name_size > 0) node->name(name, name_size); else node->name(name); } if (value) { if (value_size > 0) node->value(value, value_size); else node->value(value); } return node; } //! Allocates a new attribute from the pool, and optionally assigns name and value to it. //! If the allocation request cannot be accomodated, this function will throw std::bad_alloc. //! If exceptions are disabled by defining RAPIDXML_NO_EXCEPTIONS, this function //! will call rapidxml::parse_error_handler() function. //! \param name Name to assign to the attribute, or 0 to assign no name. //! \param value Value to assign to the attribute, or 0 to assign no value. //! \param name_size Size of name to assign, or 0 to automatically calculate size from name string. //! \param value_size Size of value to assign, or 0 to automatically calculate size from value string. //! \return Pointer to allocated attribute. This pointer will never be NULL. xml_attribute *allocate_attribute(const Ch *name = 0, const Ch *value = 0, std::size_t name_size = 0, std::size_t value_size = 0) { void *memory = allocate_aligned(sizeof(xml_attribute)); xml_attribute *attribute = new(memory) xml_attribute; if (name) { if (name_size > 0) attribute->name(name, name_size); else attribute->name(name); } if (value) { if (value_size > 0) attribute->value(value, value_size); else attribute->value(value); } return attribute; } //! Allocates a char array of given size from the pool, and optionally copies a given string to it. //! If the allocation request cannot be accomodated, this function will throw std::bad_alloc. //! If exceptions are disabled by defining RAPIDXML_NO_EXCEPTIONS, this function //! will call rapidxml::parse_error_handler() function. //! \param source String to initialize the allocated memory with, or 0 to not initialize it. //! \param size Number of characters to allocate, or zero to calculate it automatically from source string length; if size is 0, source string must be specified and null terminated. //! \return Pointer to allocated char array. This pointer will never be NULL. Ch *allocate_string(const Ch *source = 0, std::size_t size = 0) { assert(source || size); // Either source or size (or both) must be specified if (size == 0) size = internal::measure(source) + 1; Ch *result = static_cast(allocate_aligned(size * sizeof(Ch))); if (source) for (std::size_t i = 0; i < size; ++i) result[i] = source[i]; return result; } //! Clones an xml_node and its hierarchy of child nodes and attributes. //! Nodes and attributes are allocated from this memory pool. //! Names and values are not cloned, they are shared between the clone and the source. //! Result node can be optionally specified as a second parameter, //! in which case its contents will be replaced with cloned source node. //! This is useful when you want to clone entire document. //! \param source Node to clone. //! \param result Node to put results in, or 0 to automatically allocate result node //! \return Pointer to cloned node. This pointer will never be NULL. xml_node *clone_node(const xml_node *source, xml_node *result = 0) { // Prepare result node if (result) { result->remove_all_attributes(); result->remove_all_nodes(); result->type(source->type()); } else result = allocate_node(source->type()); // Clone name and value result->name(source->name(), source->name_size()); result->value(source->value(), source->value_size()); // Clone child nodes and attributes for (xml_node *child = source->first_node(); child; child = child->next_sibling()) result->append_node(clone_node(child)); for (xml_attribute *attr = source->first_attribute(); attr; attr = attr->next_attribute()) result->append_attribute(allocate_attribute(attr->name(), attr->value(), attr->name_size(), attr->value_size())); return result; } //! Clears the pool. //! This causes memory occupied by nodes allocated by the pool to be freed. //! Any nodes or strings allocated from the pool will no longer be valid. void clear() { while (m_begin != m_static_memory) { char *previous_begin = reinterpret_cast
(align(m_begin))->previous_begin; if (m_free_func) m_free_func(m_begin); else delete[] m_begin; m_begin = previous_begin; } init(); } //! Sets or resets the user-defined memory allocation functions for the pool. //! This can only be called when no memory is allocated from the pool yet, otherwise results are undefined. //! Allocation function must not return invalid pointer on failure. It should either throw, //! stop the program, or use longjmp() function to pass control to other place of program. //! If it returns invalid pointer, results are undefined. //!

//! User defined allocation functions must have the following forms: //!
//!
void *allocate(std::size_t size); //!
void free(void *pointer); //!
//! \param af Allocation function, or 0 to restore default function //! \param ff Free function, or 0 to restore default function void set_allocator(alloc_func *af, free_func *ff) { assert(m_begin == m_static_memory && m_ptr == align(m_begin)); // Verify that no memory is allocated yet m_alloc_func = af; m_free_func = ff; } private: struct header { char *previous_begin; }; void init() { m_begin = m_static_memory; m_ptr = align(m_begin); m_end = m_static_memory + sizeof(m_static_memory); } char *align(char *ptr) { std::size_t alignment = ((RAPIDXML_ALIGNMENT - (std::size_t(ptr) & (RAPIDXML_ALIGNMENT - 1))) & (RAPIDXML_ALIGNMENT - 1)); return ptr + alignment; } char *allocate_raw(std::size_t size) { // Allocate void *memory; if (m_alloc_func) // Allocate memory using either user-specified allocation function or global operator new[] { memory = m_alloc_func(size); assert(memory); // Allocator is not allowed to return 0, on failure it must either throw, stop the program or use longjmp } else { memory = new char[size]; #ifdef RAPIDXML_NO_EXCEPTIONS if (!memory) // If exceptions are disabled, verify memory allocation, because new will not be able to throw bad_alloc RAPIDXML_PARSE_ERROR("out of memory", 0); #endif } return static_cast(memory); } void *allocate_aligned(std::size_t size) { // Calculate aligned pointer char *result = align(m_ptr); // If not enough memory left in current pool, allocate a new pool if (result + size > m_end) { // Calculate required pool size (may be bigger than RAPIDXML_DYNAMIC_POOL_SIZE) std::size_t pool_size = RAPIDXML_DYNAMIC_POOL_SIZE; if (pool_size < size) pool_size = size; // Allocate std::size_t alloc_size = sizeof(header) + (2 * RAPIDXML_ALIGNMENT - 2) + pool_size; // 2 alignments required in worst case: one for header, one for actual allocation char *raw_memory = allocate_raw(alloc_size); // Setup new pool in allocated memory char *pool = align(raw_memory); header *new_header = reinterpret_cast
(pool); new_header->previous_begin = m_begin; m_begin = raw_memory; m_ptr = pool + sizeof(header); m_end = raw_memory + alloc_size; // Calculate aligned pointer again using new pool result = align(m_ptr); } // Update pool and return aligned pointer m_ptr = result + size; return result; } char *m_begin; // Start of raw memory making up current pool char *m_ptr; // First free byte in current pool char *m_end; // One past last available byte in current pool char m_static_memory[RAPIDXML_STATIC_POOL_SIZE]; // Static raw memory alloc_func *m_alloc_func; // Allocator function, or 0 if default is to be used free_func *m_free_func; // Free function, or 0 if default is to be used }; /////////////////////////////////////////////////////////////////////////// // XML base //! Base class for xml_node and xml_attribute implementing common functions: //! name(), name_size(), value(), value_size() and parent(). //! \param Ch Character type to use template class xml_base { public: /////////////////////////////////////////////////////////////////////////// // Construction & destruction // Construct a base with empty name, value and parent xml_base() : m_name(0) , m_value(0) , m_parent(0) { } /////////////////////////////////////////////////////////////////////////// // Node data access //! Gets name of the node. //! Interpretation of name depends on type of node. //! Note that name will not be zero-terminated if rapidxml::parse_no_string_terminators option was selected during parse. //!

//! Use name_size() function to determine length of the name. //! \return Name of node, or empty string if node has no name. Ch *name() const { return m_name ? m_name : nullstr(); } //! Gets size of node name, not including terminator character. //! This function works correctly irrespective of whether name is or is not zero terminated. //! \return Size of node name, in characters. std::size_t name_size() const { return m_name ? m_name_size : 0; } //! Gets value of node. //! Interpretation of value depends on type of node. //! Note that value will not be zero-terminated if rapidxml::parse_no_string_terminators option was selected during parse. //!

//! Use value_size() function to determine length of the value. //! \return Value of node, or empty string if node has no value. Ch *value() const { return m_value ? m_value : nullstr(); } //! Gets size of node value, not including terminator character. //! This function works correctly irrespective of whether value is or is not zero terminated. //! \return Size of node value, in characters. std::size_t value_size() const { return m_value ? m_value_size : 0; } /////////////////////////////////////////////////////////////////////////// // Node modification //! Sets name of node to a non zero-terminated string. //! See \ref ownership_of_strings. //!

//! Note that node does not own its name or value, it only stores a pointer to it. //! It will not delete or otherwise free the pointer on destruction. //! It is reponsibility of the user to properly manage lifetime of the string. //! The easiest way to achieve it is to use memory_pool of the document to allocate the string - //! on destruction of the document the string will be automatically freed. //!

//! Size of name must be specified separately, because name does not have to be zero terminated. //! Use name(const Ch *) function to have the length automatically calculated (string must be zero terminated). //! \param name Name of node to set. Does not have to be zero terminated. //! \param size Size of name, in characters. This does not include zero terminator, if one is present. void name(const Ch *name, std::size_t size) { m_name = const_cast(name); m_name_size = size; } //! Sets name of node to a zero-terminated string. //! See also \ref ownership_of_strings and xml_node::name(const Ch *, std::size_t). //! \param name Name of node to set. Must be zero terminated. void name(const Ch *name) { this->name(name, internal::measure(name)); } //! Sets value of node to a non zero-terminated string. //! See \ref ownership_of_strings. //!

//! Note that node does not own its name or value, it only stores a pointer to it. //! It will not delete or otherwise free the pointer on destruction. //! It is reponsibility of the user to properly manage lifetime of the string. //! The easiest way to achieve it is to use memory_pool of the document to allocate the string - //! on destruction of the document the string will be automatically freed. //!

//! Size of value must be specified separately, because it does not have to be zero terminated. //! Use value(const Ch *) function to have the length automatically calculated (string must be zero terminated). //!

//! If an element has a child node of type node_data, it will take precedence over element value when printing. //! If you want to manipulate data of elements using values, use parser flag rapidxml::parse_no_data_nodes to prevent creation of data nodes by the parser. //! \param value value of node to set. Does not have to be zero terminated. //! \param size Size of value, in characters. This does not include zero terminator, if one is present. void value(const Ch *value, std::size_t size) { m_value = const_cast(value); m_value_size = size; } //! Sets value of node to a zero-terminated string. //! See also \ref ownership_of_strings and xml_node::value(const Ch *, std::size_t). //! \param value Vame of node to set. Must be zero terminated. void value(const Ch *value) { this->value(value, internal::measure(value)); } /////////////////////////////////////////////////////////////////////////// // Related nodes access //! Gets node parent. //! \return Pointer to parent node, or 0 if there is no parent. xml_node *parent() const { return m_parent; } protected: // Return empty string static Ch *nullstr() { static Ch zero = Ch('\0'); return &zero; } Ch *m_name; // Name of node, or 0 if no name Ch *m_value; // Value of node, or 0 if no value std::size_t m_name_size; // Length of node name, or undefined of no name std::size_t m_value_size; // Length of node value, or undefined if no value xml_node *m_parent; // Pointer to parent node, or 0 if none }; //! Class representing attribute node of XML document. //! Each attribute has name and value strings, which are available through name() and value() functions (inherited from xml_base). //! Note that after parse, both name and value of attribute will point to interior of source text used for parsing. //! Thus, this text must persist in memory for the lifetime of attribute. //! \param Ch Character type to use. template class xml_attribute: public xml_base { friend class xml_node; public: /////////////////////////////////////////////////////////////////////////// // Construction & destruction //! Constructs an empty attribute with the specified type. //! Consider using memory_pool of appropriate xml_document if allocating attributes manually. xml_attribute() { } /////////////////////////////////////////////////////////////////////////// // Related nodes access //! Gets document of which attribute is a child. //! \return Pointer to document that contains this attribute, or 0 if there is no parent document. xml_document *document() const { if (xml_node *node = this->parent()) { while (node->parent()) node = node->parent(); return node->type() == node_document ? static_cast *>(node) : 0; } else return 0; } //! Gets previous attribute, optionally matching attribute name. //! \param name Name of attribute to find, or 0 to return previous attribute regardless of its name; this string doesn't have to be zero-terminated if name_size is non-zero //! \param name_size Size of name, in characters, or 0 to have size calculated automatically from string //! \param case_sensitive Should name comparison be case-sensitive; non case-sensitive comparison works properly only for ASCII characters //! \return Pointer to found attribute, or 0 if not found. xml_attribute *previous_attribute(const Ch *name = 0, std::size_t name_size = 0, bool case_sensitive = true) const { if (name) { if (name_size == 0) name_size = internal::measure(name); for (xml_attribute *attribute = m_prev_attribute; attribute; attribute = attribute->m_prev_attribute) if (internal::compare(attribute->name(), attribute->name_size(), name, name_size, case_sensitive)) return attribute; return 0; } else return this->m_parent ? m_prev_attribute : 0; } //! Gets next attribute, optionally matching attribute name. //! \param name Name of attribute to find, or 0 to return next attribute regardless of its name; this string doesn't have to be zero-terminated if name_size is non-zero //! \param name_size Size of name, in characters, or 0 to have size calculated automatically from string //! \param case_sensitive Should name comparison be case-sensitive; non case-sensitive comparison works properly only for ASCII characters //! \return Pointer to found attribute, or 0 if not found. xml_attribute *next_attribute(const Ch *name = 0, std::size_t name_size = 0, bool case_sensitive = true) const { if (name) { if (name_size == 0) name_size = internal::measure(name); for (xml_attribute *attribute = m_next_attribute; attribute; attribute = attribute->m_next_attribute) if (internal::compare(attribute->name(), attribute->name_size(), name, name_size, case_sensitive)) return attribute; return 0; } else return this->m_parent ? m_next_attribute : 0; } private: xml_attribute *m_prev_attribute; // Pointer to previous sibling of attribute, or 0 if none; only valid if parent is non-zero xml_attribute *m_next_attribute; // Pointer to next sibling of attribute, or 0 if none; only valid if parent is non-zero }; /////////////////////////////////////////////////////////////////////////// // XML node //! Class representing a node of XML document. //! Each node may have associated name and value strings, which are available through name() and value() functions. //! Interpretation of name and value depends on type of the node. //! Type of node can be determined by using type() function. //!

//! Note that after parse, both name and value of node, if any, will point interior of source text used for parsing. //! Thus, this text must persist in the memory for the lifetime of node. //! \param Ch Character type to use. template class xml_node: public xml_base { public: /////////////////////////////////////////////////////////////////////////// // Construction & destruction //! Constructs an empty node with the specified type. //! Consider using memory_pool of appropriate document to allocate nodes manually. //! \param type Type of node to construct. xml_node(node_type type) : m_type(type) , m_first_node(0) , m_first_attribute(0) { } /////////////////////////////////////////////////////////////////////////// // Node data access //! Gets type of node. //! \return Type of node. node_type type() const { return m_type; } /////////////////////////////////////////////////////////////////////////// // Related nodes access //! Gets document of which node is a child. //! \return Pointer to document that contains this node, or 0 if there is no parent document. xml_document *document() const { xml_node *node = const_cast *>(this); while (node->parent()) node = node->parent(); return node->type() == node_document ? static_cast *>(node) : 0; } //! Gets first child node, optionally matching node name. //! \param name Name of child to find, or 0 to return first child regardless of its name; this string doesn't have to be zero-terminated if name_size is non-zero //! \param name_size Size of name, in characters, or 0 to have size calculated automatically from string //! \param case_sensitive Should name comparison be case-sensitive; non case-sensitive comparison works properly only for ASCII characters //! \return Pointer to found child, or 0 if not found. xml_node *first_node(const Ch *name = 0, std::size_t name_size = 0, bool case_sensitive = true) const { if (name) { if (name_size == 0) name_size = internal::measure(name); for (xml_node *child = m_first_node; child; child = child->next_sibling()) if (internal::compare(child->name(), child->name_size(), name, name_size, case_sensitive)) return child; return 0; } else return m_first_node; } //! Gets last child node, optionally matching node name. //! Behaviour is undefined if node has no children. //! Use first_node() to test if node has children. //! \param name Name of child to find, or 0 to return last child regardless of its name; this string doesn't have to be zero-terminated if name_size is non-zero //! \param name_size Size of name, in characters, or 0 to have size calculated automatically from string //! \param case_sensitive Should name comparison be case-sensitive; non case-sensitive comparison works properly only for ASCII characters //! \return Pointer to found child, or 0 if not found. xml_node *last_node(const Ch *name = 0, std::size_t name_size = 0, bool case_sensitive = true) const { assert(m_first_node); // Cannot query for last child if node has no children if (name) { if (name_size == 0) name_size = internal::measure(name); for (xml_node *child = m_last_node; child; child = child->previous_sibling()) if (internal::compare(child->name(), child->name_size(), name, name_size, case_sensitive)) return child; return 0; } else return m_last_node; } //! Gets previous sibling node, optionally matching node name. //! Behaviour is undefined if node has no parent. //! Use parent() to test if node has a parent. //! \param name Name of sibling to find, or 0 to return previous sibling regardless of its name; this string doesn't have to be zero-terminated if name_size is non-zero //! \param name_size Size of name, in characters, or 0 to have size calculated automatically from string //! \param case_sensitive Should name comparison be case-sensitive; non case-sensitive comparison works properly only for ASCII characters //! \return Pointer to found sibling, or 0 if not found. xml_node *previous_sibling(const Ch *name = 0, std::size_t name_size = 0, bool case_sensitive = true) const { assert(this->m_parent); // Cannot query for siblings if node has no parent if (name) { if (name_size == 0) name_size = internal::measure(name); for (xml_node *sibling = m_prev_sibling; sibling; sibling = sibling->m_prev_sibling) if (internal::compare(sibling->name(), sibling->name_size(), name, name_size, case_sensitive)) return sibling; return 0; } else return m_prev_sibling; } //! Gets next sibling node, optionally matching node name. //! Behaviour is undefined if node has no parent. //! Use parent() to test if node has a parent. //! \param name Name of sibling to find, or 0 to return next sibling regardless of its name; this string doesn't have to be zero-terminated if name_size is non-zero //! \param name_size Size of name, in characters, or 0 to have size calculated automatically from string //! \param case_sensitive Should name comparison be case-sensitive; non case-sensitive comparison works properly only for ASCII characters //! \return Pointer to found sibling, or 0 if not found. xml_node *next_sibling(const Ch *name = 0, std::size_t name_size = 0, bool case_sensitive = true) const { assert(this->m_parent); // Cannot query for siblings if node has no parent if (name) { if (name_size == 0) name_size = internal::measure(name); for (xml_node *sibling = m_next_sibling; sibling; sibling = sibling->m_next_sibling) if (internal::compare(sibling->name(), sibling->name_size(), name, name_size, case_sensitive)) return sibling; return 0; } else return m_next_sibling; } //! Gets first attribute of node, optionally matching attribute name. //! \param name Name of attribute to find, or 0 to return first attribute regardless of its name; this string doesn't have to be zero-terminated if name_size is non-zero //! \param name_size Size of name, in characters, or 0 to have size calculated automatically from string //! \param case_sensitive Should name comparison be case-sensitive; non case-sensitive comparison works properly only for ASCII characters //! \return Pointer to found attribute, or 0 if not found. xml_attribute *first_attribute(const Ch *name = 0, std::size_t name_size = 0, bool case_sensitive = true) const { if (name) { if (name_size == 0) name_size = internal::measure(name); for (xml_attribute *attribute = m_first_attribute; attribute; attribute = attribute->m_next_attribute) if (internal::compare(attribute->name(), attribute->name_size(), name, name_size, case_sensitive)) return attribute; return 0; } else return m_first_attribute; } //! Gets last attribute of node, optionally matching attribute name. //! \param name Name of attribute to find, or 0 to return last attribute regardless of its name; this string doesn't have to be zero-terminated if name_size is non-zero //! \param name_size Size of name, in characters, or 0 to have size calculated automatically from string //! \param case_sensitive Should name comparison be case-sensitive; non case-sensitive comparison works properly only for ASCII characters //! \return Pointer to found attribute, or 0 if not found. xml_attribute *last_attribute(const Ch *name = 0, std::size_t name_size = 0, bool case_sensitive = true) const { if (name) { if (name_size == 0) name_size = internal::measure(name); for (xml_attribute *attribute = m_last_attribute; attribute; attribute = attribute->m_prev_attribute) if (internal::compare(attribute->name(), attribute->name_size(), name, name_size, case_sensitive)) return attribute; return 0; } else return m_first_attribute ? m_last_attribute : 0; } /////////////////////////////////////////////////////////////////////////// // Node modification //! Sets type of node. //! \param type Type of node to set. void type(node_type type) { m_type = type; } /////////////////////////////////////////////////////////////////////////// // Node manipulation //! Prepends a new child node. //! The prepended child becomes the first child, and all existing children are moved one position back. //! \param child Node to prepend. void prepend_node(xml_node *child) { assert(child && !child->parent() && child->type() != node_document); if (first_node()) { child->m_next_sibling = m_first_node; m_first_node->m_prev_sibling = child; } else { child->m_next_sibling = 0; m_last_node = child; } m_first_node = child; child->m_parent = this; child->m_prev_sibling = 0; } //! Appends a new child node. //! The appended child becomes the last child. //! \param child Node to append. void append_node(xml_node *child) { assert(child && !child->parent() && child->type() != node_document); if (first_node()) { child->m_prev_sibling = m_last_node; m_last_node->m_next_sibling = child; } else { child->m_prev_sibling = 0; m_first_node = child; } m_last_node = child; child->m_parent = this; child->m_next_sibling = 0; } //! Inserts a new child node at specified place inside the node. //! All children after and including the specified node are moved one position back. //! \param where Place where to insert the child, or 0 to insert at the back. //! \param child Node to insert. void insert_node(xml_node *where, xml_node *child) { assert(!where || where->parent() == this); assert(child && !child->parent() && child->type() != node_document); if (where == m_first_node) prepend_node(child); else if (where == 0) append_node(child); else { child->m_prev_sibling = where->m_prev_sibling; child->m_next_sibling = where; where->m_prev_sibling->m_next_sibling = child; where->m_prev_sibling = child; child->m_parent = this; } } //! Removes first child node. //! If node has no children, behaviour is undefined. //! Use first_node() to test if node has children. void remove_first_node() { assert(first_node()); xml_node *child = m_first_node; m_first_node = child->m_next_sibling; if (child->m_next_sibling) child->m_next_sibling->m_prev_sibling = 0; else m_last_node = 0; child->m_parent = 0; } //! Removes last child of the node. //! If node has no children, behaviour is undefined. //! Use first_node() to test if node has children. void remove_last_node() { assert(first_node()); xml_node *child = m_last_node; if (child->m_prev_sibling) { m_last_node = child->m_prev_sibling; child->m_prev_sibling->m_next_sibling = 0; } else m_first_node = 0; child->m_parent = 0; } //! Removes specified child from the node // \param where Pointer to child to be removed. void remove_node(xml_node *where) { assert(where && where->parent() == this); assert(first_node()); if (where == m_first_node) remove_first_node(); else if (where == m_last_node) remove_last_node(); else { where->m_prev_sibling->m_next_sibling = where->m_next_sibling; where->m_next_sibling->m_prev_sibling = where->m_prev_sibling; where->m_parent = 0; } } //! Removes all child nodes (but not attributes). void remove_all_nodes() { for (xml_node *node = first_node(); node; node = node->m_next_sibling) node->m_parent = 0; m_first_node = 0; } //! Prepends a new attribute to the node. //! \param attribute Attribute to prepend. void prepend_attribute(xml_attribute *attribute) { assert(attribute && !attribute->parent()); if (first_attribute()) { attribute->m_next_attribute = m_first_attribute; m_first_attribute->m_prev_attribute = attribute; } else { attribute->m_next_attribute = 0; m_last_attribute = attribute; } m_first_attribute = attribute; attribute->m_parent = this; attribute->m_prev_attribute = 0; } //! Appends a new attribute to the node. //! \param attribute Attribute to append. void append_attribute(xml_attribute *attribute) { assert(attribute && !attribute->parent()); if (first_attribute()) { attribute->m_prev_attribute = m_last_attribute; m_last_attribute->m_next_attribute = attribute; } else { attribute->m_prev_attribute = 0; m_first_attribute = attribute; } m_last_attribute = attribute; attribute->m_parent = this; attribute->m_next_attribute = 0; } //! Inserts a new attribute at specified place inside the node. //! All attributes after and including the specified attribute are moved one position back. //! \param where Place where to insert the attribute, or 0 to insert at the back. //! \param attribute Attribute to insert. void insert_attribute(xml_attribute *where, xml_attribute *attribute) { assert(!where || where->parent() == this); assert(attribute && !attribute->parent()); if (where == m_first_attribute) prepend_attribute(attribute); else if (where == 0) append_attribute(attribute); else { attribute->m_prev_attribute = where->m_prev_attribute; attribute->m_next_attribute = where; where->m_prev_attribute->m_next_attribute = attribute; where->m_prev_attribute = attribute; attribute->m_parent = this; } } //! Removes first attribute of the node. //! If node has no attributes, behaviour is undefined. //! Use first_attribute() to test if node has attributes. void remove_first_attribute() { assert(first_attribute()); xml_attribute *attribute = m_first_attribute; if (attribute->m_next_attribute) { attribute->m_next_attribute->m_prev_attribute = 0; } else m_last_attribute = 0; attribute->m_parent = 0; m_first_attribute = attribute->m_next_attribute; } //! Removes last attribute of the node. //! If node has no attributes, behaviour is undefined. //! Use first_attribute() to test if node has attributes. void remove_last_attribute() { assert(first_attribute()); xml_attribute *attribute = m_last_attribute; if (attribute->m_prev_attribute) { attribute->m_prev_attribute->m_next_attribute = 0; m_last_attribute = attribute->m_prev_attribute; } else m_first_attribute = 0; attribute->m_parent = 0; } //! Removes specified attribute from node. //! \param where Pointer to attribute to be removed. void remove_attribute(xml_attribute *where) { assert(first_attribute() && where->parent() == this); if (where == m_first_attribute) remove_first_attribute(); else if (where == m_last_attribute) remove_last_attribute(); else { where->m_prev_attribute->m_next_attribute = where->m_next_attribute; where->m_next_attribute->m_prev_attribute = where->m_prev_attribute; where->m_parent = 0; } } //! Removes all attributes of node. void remove_all_attributes() { for (xml_attribute *attribute = first_attribute(); attribute; attribute = attribute->m_next_attribute) attribute->m_parent = 0; m_first_attribute = 0; } private: /////////////////////////////////////////////////////////////////////////// // Restrictions // No copying xml_node(const xml_node &); void operator =(const xml_node &); /////////////////////////////////////////////////////////////////////////// // Data members // Note that some of the pointers below have UNDEFINED values if certain other pointers are 0. // This is required for maximum performance, as it allows the parser to omit initialization of // unneded/redundant values. // // The rules are as follows: // 1. first_node and first_attribute contain valid pointers, or 0 if node has no children/attributes respectively // 2. last_node and last_attribute are valid only if node has at least one child/attribute respectively, otherwise they contain garbage // 3. prev_sibling and next_sibling are valid only if node has a parent, otherwise they contain garbage node_type m_type; // Type of node; always valid xml_node *m_first_node; // Pointer to first child node, or 0 if none; always valid xml_node *m_last_node; // Pointer to last child node, or 0 if none; this value is only valid if m_first_node is non-zero xml_attribute *m_first_attribute; // Pointer to first attribute of node, or 0 if none; always valid xml_attribute *m_last_attribute; // Pointer to last attribute of node, or 0 if none; this value is only valid if m_first_attribute is non-zero xml_node *m_prev_sibling; // Pointer to previous sibling of node, or 0 if none; this value is only valid if m_parent is non-zero xml_node *m_next_sibling; // Pointer to next sibling of node, or 0 if none; this value is only valid if m_parent is non-zero }; /////////////////////////////////////////////////////////////////////////// // XML document //! This class represents root of the DOM hierarchy. //! It is also an xml_node and a memory_pool through public inheritance. //! Use parse() function to build a DOM tree from a zero-terminated XML text string. //! parse() function allocates memory for nodes and attributes by using functions of xml_document, //! which are inherited from memory_pool. //! To access root node of the document, use the document itself, as if it was an xml_node. //! \param Ch Character type to use. template class xml_document: public xml_node, public memory_pool { public: //! Constructs empty XML document xml_document() : xml_node(node_document) { } //! Parses zero-terminated XML string according to given flags. //! Passed string will be modified by the parser, unless rapidxml::parse_non_destructive flag is used. //! The string must persist for the lifetime of the document. //! In case of error, rapidxml::parse_error exception will be thrown. //!

//! If you want to parse contents of a file, you must first load the file into the memory, and pass pointer to its beginning. //! Make sure that data is zero-terminated. //!

//! Document can be parsed into multiple times. //! Each new call to parse removes previous nodes and attributes (if any), but does not clear memory pool. //! \param text XML data to parse; pointer is non-const to denote fact that this data may be modified by the parser. template void parse(Ch *text) { assert(text); // Remove current contents this->remove_all_nodes(); this->remove_all_attributes(); // Parse BOM, if any parse_bom(text); // Parse children while (1) { // Skip whitespace before node skip(text); if (*text == 0) break; // Parse and append new child if (*text == Ch('<')) { ++text; // Skip '<' if (xml_node *node = parse_node(text)) this->append_node(node); } else RAPIDXML_PARSE_ERROR("expected <", text); } } //! Clears the document by deleting all nodes and clearing the memory pool. //! All nodes owned by document pool are destroyed. void clear() { this->remove_all_nodes(); this->remove_all_attributes(); memory_pool::clear(); } private: /////////////////////////////////////////////////////////////////////// // Internal character utility functions // Detect whitespace character struct whitespace_pred { static unsigned char test(Ch ch) { return internal::lookup_tables<0>::lookup_whitespace[static_cast(ch)]; } }; // Detect node name character struct node_name_pred { static unsigned char test(Ch ch) { return internal::lookup_tables<0>::lookup_node_name[static_cast(ch)]; } }; // Detect attribute name character struct attribute_name_pred { static unsigned char test(Ch ch) { return internal::lookup_tables<0>::lookup_attribute_name[static_cast(ch)]; } }; // Detect text character (PCDATA) struct text_pred { static unsigned char test(Ch ch) { return internal::lookup_tables<0>::lookup_text[static_cast(ch)]; } }; // Detect text character (PCDATA) that does not require processing struct text_pure_no_ws_pred { static unsigned char test(Ch ch) { return internal::lookup_tables<0>::lookup_text_pure_no_ws[static_cast(ch)]; } }; // Detect text character (PCDATA) that does not require processing struct text_pure_with_ws_pred { static unsigned char test(Ch ch) { return internal::lookup_tables<0>::lookup_text_pure_with_ws[static_cast(ch)]; } }; // Detect attribute value character template struct attribute_value_pred { static unsigned char test(Ch ch) { if (Quote == Ch('\'')) return internal::lookup_tables<0>::lookup_attribute_data_1[static_cast(ch)]; if (Quote == Ch('\"')) return internal::lookup_tables<0>::lookup_attribute_data_2[static_cast(ch)]; return 0; // Should never be executed, to avoid warnings on Comeau } }; // Detect attribute value character template struct attribute_value_pure_pred { static unsigned char test(Ch ch) { if (Quote == Ch('\'')) return internal::lookup_tables<0>::lookup_attribute_data_1_pure[static_cast(ch)]; if (Quote == Ch('\"')) return internal::lookup_tables<0>::lookup_attribute_data_2_pure[static_cast(ch)]; return 0; // Should never be executed, to avoid warnings on Comeau } }; // part of the readxl namespace-prefix-stripping patch // Detect element XML namespace prefix character struct element_namespace_prefix_pred { static unsigned char test(Ch ch) { return ch != ':' && internal::lookup_tables<0>::lookup_node_name[static_cast(ch)]; } }; // part of the readxl namespace-prefix-stripping patch // Detect attribute XML namespace prefix character struct attribute_namespace_prefix_pred { static unsigned char test(Ch ch) { return ch != ':' && internal::lookup_tables<0>::lookup_attribute_name[static_cast(ch)]; } }; // Insert coded character, using UTF8 or 8-bit ASCII template static void insert_coded_character(Ch *&text, unsigned long code) { if (Flags & parse_no_utf8) { // Insert 8-bit ASCII character // Todo: possibly verify that code is less than 256 and use replacement char otherwise? text[0] = static_cast(code); text += 1; } else { // Insert UTF8 sequence if (code < 0x80) // 1 byte sequence { text[0] = static_cast(code); text += 1; } else if (code < 0x800) // 2 byte sequence { text[1] = static_cast((code | 0x80) & 0xBF); code >>= 6; text[0] = static_cast(code | 0xC0); text += 2; } else if (code < 0x10000) // 3 byte sequence { text[2] = static_cast((code | 0x80) & 0xBF); code >>= 6; text[1] = static_cast((code | 0x80) & 0xBF); code >>= 6; text[0] = static_cast(code | 0xE0); text += 3; } else if (code < 0x110000) // 4 byte sequence { text[3] = static_cast((code | 0x80) & 0xBF); code >>= 6; text[2] = static_cast((code | 0x80) & 0xBF); code >>= 6; text[1] = static_cast((code | 0x80) & 0xBF); code >>= 6; text[0] = static_cast(code | 0xF0); text += 4; } else // Invalid, only codes up to 0x10FFFF are allowed in Unicode { RAPIDXML_PARSE_ERROR("invalid numeric character entity", text); } } } // Skip characters until predicate evaluates to true template static void skip(Ch *&text) { Ch *tmp = text; while (StopPred::test(*tmp)) ++tmp; text = tmp; } // Skip characters until predicate evaluates to true while doing the following: // - replacing XML character entity references with proper characters (' & " < > &#...;) // - condensing whitespace sequences to single space character template static Ch *skip_and_expand_character_refs(Ch *&text) { // If entity translation, whitespace condense and whitespace trimming is disabled, use plain skip if (Flags & parse_no_entity_translation && !(Flags & parse_normalize_whitespace) && !(Flags & parse_trim_whitespace)) { skip(text); return text; } // Use simple skip until first modification is detected skip(text); // Use translation skip Ch *src = text; Ch *dest = src; while (StopPred::test(*src)) { // If entity translation is enabled if (!(Flags & parse_no_entity_translation)) { // Test if replacement is needed if (src[0] == Ch('&')) { switch (src[1]) { // & ' case Ch('a'): if (src[2] == Ch('m') && src[3] == Ch('p') && src[4] == Ch(';')) { *dest = Ch('&'); ++dest; src += 5; continue; } if (src[2] == Ch('p') && src[3] == Ch('o') && src[4] == Ch('s') && src[5] == Ch(';')) { *dest = Ch('\''); ++dest; src += 6; continue; } break; // " case Ch('q'): if (src[2] == Ch('u') && src[3] == Ch('o') && src[4] == Ch('t') && src[5] == Ch(';')) { *dest = Ch('"'); ++dest; src += 6; continue; } break; // > case Ch('g'): if (src[2] == Ch('t') && src[3] == Ch(';')) { *dest = Ch('>'); ++dest; src += 4; continue; } break; // < case Ch('l'): if (src[2] == Ch('t') && src[3] == Ch(';')) { *dest = Ch('<'); ++dest; src += 4; continue; } break; // &#...; - assumes ASCII case Ch('#'): if (src[2] == Ch('x')) { unsigned long code = 0; src += 3; // Skip &#x while (1) { unsigned char digit = internal::lookup_tables<0>::lookup_digits[static_cast(*src)]; if (digit == 0xFF) break; code = code * 16 + digit; ++src; } insert_coded_character(dest, code); // Put character in output } else { unsigned long code = 0; src += 2; // Skip &# while (1) { unsigned char digit = internal::lookup_tables<0>::lookup_digits[static_cast(*src)]; if (digit == 0xFF) break; code = code * 10 + digit; ++src; } insert_coded_character(dest, code); // Put character in output } if (*src == Ch(';')) ++src; else RAPIDXML_PARSE_ERROR("expected ;", src); continue; // Something else default: // Ignore, just copy '&' verbatim break; } } } // If whitespace condensing is enabled if (Flags & parse_normalize_whitespace) { // Test if condensing is needed if (whitespace_pred::test(*src)) { *dest = Ch(' '); ++dest; // Put single space in dest ++src; // Skip first whitespace char // Skip remaining whitespace chars while (whitespace_pred::test(*src)) ++src; continue; } } // No replacement, only copy character *dest++ = *src++; } // Return new end text = src; return dest; } /////////////////////////////////////////////////////////////////////// // Internal parsing functions // Parse BOM, if any template void parse_bom(Ch *&text) { // UTF-8? if (static_cast(text[0]) == 0xEF && static_cast(text[1]) == 0xBB && static_cast(text[2]) == 0xBF) { text += 3; // Skup utf-8 bom } } // Parse XML declaration ( xml_node *parse_xml_declaration(Ch *&text) { // If parsing of declaration is disabled if (!(Flags & parse_declaration_node)) { // Skip until end of declaration while (text[0] != Ch('?') || text[1] != Ch('>')) { if (!text[0]) RAPIDXML_PARSE_ERROR("unexpected end of data", text); ++text; } text += 2; // Skip '?>' return 0; } // Create declaration xml_node *declaration = this->allocate_node(node_declaration); // Skip whitespace before attributes or ?> skip(text); // Parse declaration attributes parse_node_attributes(text, declaration); // Skip ?> if (text[0] != Ch('?') || text[1] != Ch('>')) RAPIDXML_PARSE_ERROR("expected ?>", text); text += 2; return declaration; } // Parse XML comment (' return 0; // Do not produce comment node } // Remember value start Ch *value = text; // Skip until end of comment while (text[0] != Ch('-') || text[1] != Ch('-') || text[2] != Ch('>')) { if (!text[0]) RAPIDXML_PARSE_ERROR("unexpected end of data", text); ++text; } // Create comment node xml_node *comment = this->allocate_node(node_comment); comment->value(value, text - value); // Place zero terminator after comment value if (!(Flags & parse_no_string_terminators)) *text = Ch('\0'); text += 3; // Skip '-->' return comment; } // Parse DOCTYPE template xml_node *parse_doctype(Ch *&text) { // Remember value start Ch *value = text; // Skip to > while (*text != Ch('>')) { // Determine character type switch (*text) { // If '[' encountered, scan for matching ending ']' using naive algorithm with depth // This works for all W3C test files except for 2 most wicked case Ch('['): { ++text; // Skip '[' int depth = 1; while (depth > 0) { switch (*text) { case Ch('['): ++depth; break; case Ch(']'): --depth; break; case 0: RAPIDXML_PARSE_ERROR("unexpected end of data", text); } ++text; } break; } // Error on end of text case Ch('\0'): RAPIDXML_PARSE_ERROR("unexpected end of data", text); // Other character, skip it default: ++text; } } // If DOCTYPE nodes enabled if (Flags & parse_doctype_node) { // Create a new doctype node xml_node *doctype = this->allocate_node(node_doctype); doctype->value(value, text - value); // Place zero terminator after value if (!(Flags & parse_no_string_terminators)) *text = Ch('\0'); text += 1; // skip '>' return doctype; } else { text += 1; // skip '>' return 0; } } // Parse PI template xml_node *parse_pi(Ch *&text) { // If creation of PI nodes is enabled if (Flags & parse_pi_nodes) { // Create pi node xml_node *pi = this->allocate_node(node_pi); // Extract PI target name Ch *name = text; skip(text); if (text == name) RAPIDXML_PARSE_ERROR("expected PI target", text); pi->name(name, text - name); // Skip whitespace between pi target and pi skip(text); // Remember start of pi Ch *value = text; // Skip to '?>' while (text[0] != Ch('?') || text[1] != Ch('>')) { if (*text == Ch('\0')) RAPIDXML_PARSE_ERROR("unexpected end of data", text); ++text; } // Set pi value (verbatim, no entity expansion or whitespace normalization) pi->value(value, text - value); // Place zero terminator after name and value if (!(Flags & parse_no_string_terminators)) { pi->name()[pi->name_size()] = Ch('\0'); pi->value()[pi->value_size()] = Ch('\0'); } text += 2; // Skip '?>' return pi; } else { // Skip to '?>' while (text[0] != Ch('?') || text[1] != Ch('>')) { if (*text == Ch('\0')) RAPIDXML_PARSE_ERROR("unexpected end of data", text); ++text; } text += 2; // Skip '?>' return 0; } } // Parse and append data // Return character that ends data. // This is necessary because this character might have been overwritten by a terminating 0 template Ch parse_and_append_data(xml_node *node, Ch *&text, Ch *contents_start) { // Backup to contents start if whitespace trimming is disabled if (!(Flags & parse_trim_whitespace)) text = contents_start; // Skip until end of data Ch *value = text, *end; if (Flags & parse_normalize_whitespace) end = skip_and_expand_character_refs(text); else end = skip_and_expand_character_refs(text); // Trim trailing whitespace if flag is set; leading was already trimmed by whitespace skip after > if (Flags & parse_trim_whitespace) { if (Flags & parse_normalize_whitespace) { // Whitespace is already condensed to single space characters by skipping function, so just trim 1 char off the end if (*(end - 1) == Ch(' ')) --end; } else { // Backup until non-whitespace character is found while (whitespace_pred::test(*(end - 1))) --end; } } // If characters are still left between end and value (this test is only necessary if normalization is enabled) // Create new data node if (!(Flags & parse_no_data_nodes)) { xml_node *data = this->allocate_node(node_data); data->value(value, end - value); node->append_node(data); } // Add data to parent node if no data exists yet if (!(Flags & parse_no_element_values)) if (*node->value() == Ch('\0')) node->value(value, end - value); // Place zero terminator after value if (!(Flags & parse_no_string_terminators)) { Ch ch = *text; *end = Ch('\0'); return ch; // Return character that ends data; this is required because zero terminator overwritten it } // Return character that ends data return *text; } // Parse CDATA template xml_node *parse_cdata(Ch *&text) { // If CDATA is disabled if (Flags & parse_no_data_nodes) { // Skip until end of cdata while (text[0] != Ch(']') || text[1] != Ch(']') || text[2] != Ch('>')) { if (!text[0]) RAPIDXML_PARSE_ERROR("unexpected end of data", text); ++text; } text += 3; // Skip ]]> return 0; // Do not produce CDATA node } // Skip until end of cdata Ch *value = text; while (text[0] != Ch(']') || text[1] != Ch(']') || text[2] != Ch('>')) { if (!text[0]) RAPIDXML_PARSE_ERROR("unexpected end of data", text); ++text; } // Create new cdata node xml_node *cdata = this->allocate_node(node_cdata); cdata->value(value, text - value); // Place zero terminator after value if (!(Flags & parse_no_string_terminators)) *text = Ch('\0'); text += 3; // Skip ]]> return cdata; } // Parse element node template xml_node *parse_element(Ch *&text) { // Create element node xml_node *element = this->allocate_node(node_element); // Extract element name Ch *name = text; skip(text); if (text == name) RAPIDXML_PARSE_ERROR("expected element name", text); // part of the readxl namespace-prefix-stripping patch if (Flags & parse_strip_xml_namespaces) { Ch *saved_name = name; skip(name); if (name++ == text) name = saved_name; } element->name(name, text - name); // Skip whitespace between element name and attributes or > skip(text); // Parse attributes, if any parse_node_attributes(text, element); // Determine ending type if (*text == Ch('>')) { ++text; parse_node_contents(text, element); } else if (*text == Ch('/')) { ++text; if (*text != Ch('>')) RAPIDXML_PARSE_ERROR("expected >", text); ++text; } else RAPIDXML_PARSE_ERROR("expected >", text); // Place zero terminator after name if (!(Flags & parse_no_string_terminators)) element->name()[element->name_size()] = Ch('\0'); // Return parsed element return element; } // Determine node type, and parse it template xml_node *parse_node(Ch *&text) { // Parse proper node type switch (text[0]) { // <... default: // Parse and append element node return parse_element(text); // (text); } else { // Parse PI return parse_pi(text); } // (text); } break; // (text); } break; // (text); } } // switch // Attempt to skip other, unrecognized node types starting with ')) { if (*text == 0) RAPIDXML_PARSE_ERROR("unexpected end of data", text); ++text; } ++text; // Skip '>' return 0; // No node recognized } } // Parse contents of the node - children, data etc. template void parse_node_contents(Ch *&text, xml_node *node) { // For all children and text while (1) { // Skip whitespace between > and node contents Ch *contents_start = text; // Store start of node contents before whitespace is skipped skip(text); Ch next_char = *text; // After data nodes, instead of continuing the loop, control jumps here. // This is because zero termination inside parse_and_append_data() function // would wreak havoc with the above code. // Also, skipping whitespace after data nodes is unnecessary. after_data_node: // Determine what comes next: node closing, child node, data node, or 0? switch (next_char) { // Node closing or child node case Ch('<'): if (text[1] == Ch('/')) { // Node closing text += 2; // Skip '(text); if (!internal::compare(node->name(), node->name_size(), closing_name, text - closing_name, true)) RAPIDXML_PARSE_ERROR("invalid closing tag name", text); } else { // No validation, just skip name skip(text); } // Skip remaining whitespace after node name skip(text); if (*text != Ch('>')) RAPIDXML_PARSE_ERROR("expected >", text); ++text; // Skip '>' return; // Node closed, finished parsing contents } else { // Child node ++text; // Skip '<' if (xml_node *child = parse_node(text)) node->append_node(child); } break; // End of data - error case Ch('\0'): RAPIDXML_PARSE_ERROR("unexpected end of data", text); // Data node default: next_char = parse_and_append_data(node, text, contents_start); goto after_data_node; // Bypass regular processing after data nodes } } } // Parse XML attributes of the node template void parse_node_attributes(Ch *&text, xml_node *node) { // For all attributes while (attribute_name_pred::test(*text)) { // Extract attribute name Ch *name = text; ++text; // Skip first character of attribute name skip(text); if (text == name) RAPIDXML_PARSE_ERROR("expected attribute name", name); // part of the readxl namespace-prefix-stripping patch if (Flags & parse_strip_xml_namespaces) { Ch *saved_name = name; skip(name); if (name++ == text) name = saved_name; } // Create new attribute xml_attribute *attribute = this->allocate_attribute(); attribute->name(name, text - name); node->append_attribute(attribute); // Skip whitespace after attribute name skip(text); // Skip = if (*text != Ch('=')) RAPIDXML_PARSE_ERROR("expected =", text); ++text; // Add terminating zero after name if (!(Flags & parse_no_string_terminators)) attribute->name()[attribute->name_size()] = 0; // Skip whitespace after = skip(text); // Skip quote and remember if it was ' or " Ch quote = *text; if (quote != Ch('\'') && quote != Ch('"')) RAPIDXML_PARSE_ERROR("expected ' or \"", text); ++text; // Extract attribute value and expand char refs in it Ch *value = text, *end; const int AttFlags = Flags & ~parse_normalize_whitespace; // No whitespace normalization in attributes if (quote == Ch('\'')) end = skip_and_expand_character_refs, attribute_value_pure_pred, AttFlags>(text); else end = skip_and_expand_character_refs, attribute_value_pure_pred, AttFlags>(text); // Set attribute value attribute->value(value, end - value); // Make sure that end quote is present if (*text != quote) RAPIDXML_PARSE_ERROR("expected ' or \"", text); ++text; // Skip quote // Add terminating zero after value if (!(Flags & parse_no_string_terminators)) attribute->value()[attribute->value_size()] = 0; // Skip whitespace after attribute value skip(text); } } }; //! \cond internal namespace internal { // Whitespace (space \n \r \t) template const unsigned char lookup_tables::lookup_whitespace[256] = { // 0 1 2 3 4 5 6 7 8 9 A B C D E F 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, // 0 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, // 1 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, // 2 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, // 3 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, // 4 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, // 5 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, // 6 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, // 7 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, // 8 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, // 9 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, // A 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, // B 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, // C 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, // D 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, // E 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 // F }; // Node name (anything but space \n \r \t / > ? \0) template const unsigned char lookup_tables::lookup_node_name[256] = { // 0 1 2 3 4 5 6 7 8 9 A B C D E F 0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 1, 0, 1, 1, // 0 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // 1 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, // 2 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, // 3 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // 4 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // 5 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // 6 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // 7 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // 8 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // 9 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // A 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // B 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // C 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // D 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // E 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 // F }; // Text (i.e. PCDATA) (anything but < \0) template const unsigned char lookup_tables::lookup_text[256] = { // 0 1 2 3 4 5 6 7 8 9 A B C D E F 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // 0 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // 1 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // 2 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, // 3 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // 4 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // 5 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // 6 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // 7 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // 8 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // 9 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // A 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // B 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // C 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // D 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // E 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 // F }; // Text (i.e. PCDATA) that does not require processing when ws normalization is disabled // (anything but < \0 &) template const unsigned char lookup_tables::lookup_text_pure_no_ws[256] = { // 0 1 2 3 4 5 6 7 8 9 A B C D E F 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // 0 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // 1 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, // 2 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, // 3 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // 4 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // 5 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // 6 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // 7 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // 8 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // 9 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // A 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // B 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // C 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // D 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // E 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 // F }; // Text (i.e. PCDATA) that does not require processing when ws normalizationis is enabled // (anything but < \0 & space \n \r \t) template const unsigned char lookup_tables::lookup_text_pure_with_ws[256] = { // 0 1 2 3 4 5 6 7 8 9 A B C D E F 0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 1, 0, 1, 1, // 0 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // 1 0, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, // 2 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, // 3 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // 4 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // 5 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // 6 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // 7 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // 8 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // 9 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // A 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // B 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // C 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // D 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // E 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 // F }; // Attribute name (anything but space \n \r \t / < > = ? ! \0) template const unsigned char lookup_tables::lookup_attribute_name[256] = { // 0 1 2 3 4 5 6 7 8 9 A B C D E F 0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 1, 0, 1, 1, // 0 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // 1 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, // 2 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, // 3 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // 4 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // 5 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // 6 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // 7 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // 8 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // 9 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // A 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // B 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // C 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // D 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // E 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 // F }; // Attribute data with single quote (anything but ' \0) template const unsigned char lookup_tables::lookup_attribute_data_1[256] = { // 0 1 2 3 4 5 6 7 8 9 A B C D E F 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // 0 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // 1 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, // 2 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // 3 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // 4 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // 5 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // 6 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // 7 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // 8 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // 9 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // A 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // B 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // C 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // D 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // E 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 // F }; // Attribute data with single quote that does not require processing (anything but ' \0 &) template const unsigned char lookup_tables::lookup_attribute_data_1_pure[256] = { // 0 1 2 3 4 5 6 7 8 9 A B C D E F 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // 0 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // 1 1, 1, 1, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, // 2 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // 3 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // 4 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // 5 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // 6 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // 7 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // 8 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // 9 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // A 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // B 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // C 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // D 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // E 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 // F }; // Attribute data with double quote (anything but " \0) template const unsigned char lookup_tables::lookup_attribute_data_2[256] = { // 0 1 2 3 4 5 6 7 8 9 A B C D E F 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // 0 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // 1 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // 2 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // 3 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // 4 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // 5 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // 6 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // 7 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // 8 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // 9 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // A 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // B 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // C 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // D 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // E 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 // F }; // Attribute data with double quote that does not require processing (anything but " \0 &) template const unsigned char lookup_tables::lookup_attribute_data_2_pure[256] = { // 0 1 2 3 4 5 6 7 8 9 A B C D E F 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // 0 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // 1 1, 1, 0, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, // 2 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // 3 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // 4 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // 5 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // 6 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // 7 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // 8 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // 9 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // A 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // B 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // C 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // D 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, // E 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 // F }; // Digits (dec and hex, 255 denotes end of numeric character reference) template const unsigned char lookup_tables::lookup_digits[256] = { // 0 1 2 3 4 5 6 7 8 9 A B C D E F 255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255, // 0 255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255, // 1 255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255, // 2 0, 1, 2, 3, 4, 5, 6, 7, 8, 9,255,255,255,255,255,255, // 3 255, 10, 11, 12, 13, 14, 15,255,255,255,255,255,255,255,255,255, // 4 255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255, // 5 255, 10, 11, 12, 13, 14, 15,255,255,255,255,255,255,255,255,255, // 6 255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255, // 7 255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255, // 8 255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255, // 9 255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255, // A 255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255, // B 255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255, // C 255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255, // D 255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255, // E 255,255,255,255,255,255,255,255,255,255,255,255,255,255,255,255 // F }; // Upper case conversion template const unsigned char lookup_tables::lookup_upcase[256] = { // 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, A B C D E F 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, // 0 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, // 1 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, // 2 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, // 3 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, // 4 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, // 5 96, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, // 6 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 123,124,125,126,127, // 7 128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143, // 8 144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159, // 9 160,161,162,163,164,165,166,167,168,169,170,171,172,173,174,175, // A 176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191, // B 192,193,194,195,196,197,198,199,200,201,202,203,204,205,206,207, // C 208,209,210,211,212,213,214,215,216,217,218,219,220,221,222,223, // D 224,225,226,227,228,229,230,231,232,233,234,235,236,237,238,239, // E 240,241,242,243,244,245,246,247,248,249,250,251,252,253,254,255 // F }; } //! \endcond } // Undefine internal macros #undef RAPIDXML_PARSE_ERROR // On MSVC, restore warnings state #ifdef _MSC_VER #pragma warning(pop) #endif #endif readxl/src/zip.h0000644000176200001440000000034114216663505013301 0ustar liggesusers#pragma once #include "rapidxml/rapidxml.h" #include std::string zip_buffer(const std::string& zip_path, const std::string& file_path); bool zip_has_file(const std::string& zip_path, const std::string& file_path); readxl/src/StringSet.h0000644000176200001440000000152714216663505014430 0ustar liggesusers#pragma once #include "utils.h" #include "cpp11/strings.hpp" #include #include #include class StringSet { std::set set_; public: StringSet(const char *s = "") { if (std::strlen(s) > 0) set_.insert(s); } StringSet(const std::vector &s) { for (auto i = s.begin(); i != s.end(); ++i) set_.insert(*i); } StringSet(const cpp11::strings &s) { for (auto i = s.begin(); i != s.end(); ++i) set_.insert(cpp11::as_cpp(*i)); } bool contains(const std::string &s) const { return set_.find(s) != set_.end(); } bool contains(const std::string &s, const bool trimWs) const { return trimWs ? contains(trim(s)) : contains(s); } bool contains(const double d) const { std::ostringstream str; str << d; return contains(str.str()); } }; readxl/src/ColSpec.h0000644000176200001440000002024414343565124014032 0ustar liggesusers#pragma once #include "utils.h" #include "StringSet.h" #include "libxls/xls.h" #include "cpp11/doubles.hpp" #include "cpp11/list.hpp" #include "cpp11/logicals.hpp" #include "cpp11/protect.hpp" #include "cpp11/sexp.hpp" #include "cpp11/strings.hpp" enum CellType { CELL_UNKNOWN, CELL_BLANK, CELL_LOGICAL, CELL_DATE, CELL_NUMERIC, CELL_TEXT }; enum ColType { COL_UNKNOWN, // implies column type needs to be guessed COL_BLANK, // occurs when col_types = NULL and observe only CELL_BLANKs COL_LOGICAL, COL_DATE, COL_NUMERIC, COL_TEXT, COL_LIST, // occurs only as user-specified column type COL_SKIP // occurs only as user-specified column type }; // ColType enum is ordered such that a simple cast is sufficient to convert // from CellType (user-specified column types come after cell types) ColType inline as_ColType(CellType celltype) { return (ColType) celltype; } inline std::string cellTypeDesc(CellType type) { switch(type) { case CELL_UNKNOWN: return "unknown"; case CELL_BLANK: return "blank"; case CELL_LOGICAL: return "logical"; case CELL_DATE: return "date"; case CELL_NUMERIC: return "numeric"; case CELL_TEXT: return "text"; } return "???"; } inline std::string colTypeDesc(ColType type) { switch(type) { case COL_UNKNOWN: return "unknown"; case COL_BLANK: return "blank"; case COL_LOGICAL: return "logical"; case COL_DATE: return "date"; case COL_NUMERIC: return "numeric"; case COL_TEXT: return "text"; case COL_LIST: return "list"; case COL_SKIP: return "skip"; } return "???"; } inline cpp11::strings colTypeDescs(std::vector types) { cpp11::writable::strings out(types.size()); for (size_t i = 0; i < types.size(); ++i) { out[i] = colTypeDesc(types[i]); } return out; } inline std::vector colTypeStrings(cpp11::strings x) { std::vector types; types.reserve(x.size()); for (int i = 0; i < x.size(); ++i) { std::string type(x[i]); if (type == "guess") { types.push_back(COL_UNKNOWN); } else if (type == "blank") { types.push_back(COL_BLANK); } else if (type == "logical") { types.push_back(COL_LOGICAL); } else if (type == "date") { types.push_back(COL_DATE); } else if (type == "numeric") { types.push_back(COL_NUMERIC); } else if (type == "text") { types.push_back(COL_TEXT); } else if (type == "list") { types.push_back(COL_LIST); } else if (type == "skip") { types.push_back(COL_SKIP); } else { cpp11::stop("Unknown column type '%s' at position %i", type.c_str(), (i + 1)); } } return types; } bool inline requiresGuess(std::vector types) { std::vector::iterator iter; iter = find(types.begin(), types.end(), COL_UNKNOWN); return iter != types.end(); } bool inline isDateTime(int id, const std::set custom) { // Page and section numbers below refer to // ECMA-376 (version, date, and download URL given in XlsxCell.h) // // Example from L.2.7.4.4 p4698 for hypothetical cell D2 // Cell D2 contains the text "Q1" and is defined in the cell table of sheet1 // as: // // // 0 // // // On this cell, the attribute value s="7" indicates that the 7th (zero-based) // definition of holds the formatting information for the cell. // The 7th of is defined as: // // // // The number formatting information cannot be found in a definition // because it is a built-in format; instead, it is implicitly understood to be // the 0th built-in number format. // // This function stores knowledge about these built-in number formats. // // 18.8.30 numFmt (Number Format) p1786 // Date times: 14-22, 27-36, 45-47, 50-58, 71-81 (inclusive) if ((id >= 14 && id <= 22) || (id >= 27 && id <= 36) || (id >= 45 && id <= 47) || (id >= 50 && id <= 58) || (id >= 71 && id <= 81)) return true; // Built-in format that's not a date if (id < 164) return false; return custom.count(id) > 0; } // Adapted from @reviewher https://github.com/tidyverse/readxl/issues/388 // Similar code has long been used in https://github.com/nacnudus/tidyxl // See also ECMA Part 1 page 1785 (actual page 1795) section 18.8.31 "numFmts // (Number Formats)" #define CASEI(c) case c: case (c | 0x20) #define CMPLC(j,n) if(x[i+j] | (0x20 == n)) inline bool isDateFormat(std::string x) { char escaped = 0; char bracket = 0; for (size_t i = 0; i < x.size(); ++i) switch (x[i]) { CASEI('D'): // https://github.com/nacnudus/tidyxl/pull/75 // CASEI('E'): CASEI('H'): CASEI('M'): CASEI('S'): CASEI('Y'): if(!escaped && !bracket) return true; break; case '"': escaped = 1 - escaped; break; case '\\': case '_': ++i; break; case '[': if(!escaped) bracket = 1; break; case ']': if(!escaped) bracket = 0; break; CASEI('G'): if(i + 6 < x.size()) CMPLC(1,'e') CMPLC(2,'n') CMPLC(3,'e') CMPLC(4,'r') CMPLC(5,'a') CMPLC(6,'l') return false; } return false; } #undef CMPLC #undef CASEI inline std::vector recycleTypes(std::vector types, int ncol) { if (types.size() == 1) { types.resize(ncol); std::fill(types.begin(), types.end(), types[0]); } return types; } inline std::vector finalizeTypes(std::vector types) { // convert blank columns to a default type: logical // can only happen when col_type = guess AND // * all cells in column are empty or // * all cells match one of the na strings or // * there is no cell data at all for (size_t i = 0; i < types.size(); i++) { if (types[i] == COL_BLANK || types[i] == COL_UNKNOWN) { types[i] = COL_LOGICAL; } } return types; } inline cpp11::strings reconcileNames(cpp11::strings names, const std::vector& types, int sheet_i) { size_t ncol_names = names.size(); size_t ncol_types = types.size(); if (ncol_names == ncol_types) { return names; } size_t ncol_noskip = 0; for (size_t i = 0; i < types.size(); i++) { if (types[i] != COL_SKIP) { ncol_noskip++; } } if (ncol_names != ncol_noskip) { cpp11::stop("Sheet %d has %d columns (%d unskipped), but `col_names` has length %d.", (sheet_i + 1), ncol_types, ncol_noskip, ncol_names); } cpp11::writable::strings newNames(ncol_types); size_t j_short = 0; for (size_t j_long = 0; j_long < ncol_types; ++j_long) { if (types[j_long] == COL_SKIP) { continue; } newNames[j_long] = names[j_short]; j_short++; } return newNames; } inline cpp11::sexp makeCol(ColType type, int n) { switch(type) { case COL_UNKNOWN: case COL_BLANK: case COL_SKIP: return R_NilValue; case COL_LOGICAL: return new_vector(n, NA_LOGICAL); case COL_DATE: { cpp11::sexp col = new_vector(n, NA_REAL); col.attr("class") = {"POSIXct", "POSIXt"}; col.attr("tzone") = "UTC"; return col; } case COL_NUMERIC: return new_vector(n, NA_REAL); case COL_TEXT: return new_vector(n, NA_STRING); case COL_LIST: return new_vector(n, new_vector(1, NA_LOGICAL)); } return R_NilValue; } inline cpp11::list removeSkippedColumns(cpp11::list cols, cpp11::strings names, std::vector types) { int p = cols.size(); int p_out = 0; for (int j = 0; j < p; ++j) { if (types[j] != COL_SKIP) p_out++; } cpp11::writable::list out(p_out); cpp11::writable::strings names_out(p_out); int j_out = 0; for (int j = 0; j < p; ++j) { if (types[j] == COL_SKIP) { continue; } out[j_out] = cols[j]; names_out[j_out] = names[j]; j_out++; } // Turn list into a data frame out.attr("names") = names_out; return out; } readxl/src/utils.h0000644000176200001440000001324514757414617013656 0ustar liggesusers#pragma once #include "cpp11/protect.hpp" #include #include #include #include //May appear in cpp11 template T new_vector(R_xlen_t size, N val) { T out(size); std::fill(out.begin(), out.end(), val); return out; } // The date offset needed to align Excel dates with R's use of 1970-01-01 // depends on the "date system". // // xls ------------------------------------------------------------------------ // Page and section numbers below refer to // [MS-XLS]: Excel Binary File Format (.xls) Structure // version, date, and download URL given in XlsCell.h // // 2.4.77 Date1904 p257 ... it boils down to a boolean // 0 --> 1900 date system // 1 --> 1904 date system // // xlsx ------------------------------------------------------------------------ // Page and section numbers below refer to // ECMA-376 // version, date, and download URL given in XlsxCell.h // // 18.2.28 workbookPr (Workbook Properties) p1586 // in xl/workbook.xml, node workbook, child node workbookPr // attribute date1904: // 0 or false --> 1900 date system // 1 or true --> 1904 date system (this is the default) // // 18.17.4.1 p2073 holds definition of the date systems // // Date systems --------------------------------------------------------------- // 1900 system: first possible date is 1900-01-01 00:00:00, // which has serial value of **1** // 1904 system: origin 1904-01-01 00:00:00 inline double dateOffset(bool is1904) { // as.numeric(as.Date("1899-12-30")) // as.numeric(as.Date("1904-01-01")) return is1904 ? 24107 : 25569; } // this is sort of horrible // convert serial date to milliseconds // use well-known hack to round to nearest integer w/o C++11 or boost, e.g. // http://stackoverflow.com/questions/485525/round-for-float-in-c // convert back to serial date inline double dateRound(double dttm) { double ms = dttm * 1000; ms = (ms >= 0.0 ? std::floor(ms + 0.5) : std::ceil(ms - 0.5)); return ms / 1000; } // this is even more horrible // correct for Excel's faithful re-implementation of the Lotus 1-2-3 bug, // in which February 29, 1900 is included in the date system, even though 1900 // was not actually a leap year // https://support.microsoft.com/en-us/help/214326/excel-incorrectly-assumes-that-the-year-1900-is-a-leap-year // How we address this: // If date is *prior* to the non-existent leap day: add a day // If date is on the non-existent leap day: warn and return NA // Otherwise: do nothing inline double POSIXctFromSerial(double xlDate, bool is1904) { if (!is1904 && xlDate < 61) { if (xlDate < 60) { xlDate = xlDate + 1; } else { Rf_warning("NA inserted for impossible 1900-02-29 datetime"); return NA_REAL; } } if (xlDate < 0) { Rf_warning("NA inserted for an unsupported date prior to 1900"); return NA_REAL; } else { return dateRound((xlDate - dateOffset(is1904)) * 86400); } } // Simple parser: does not check that order of numbers and letters is correct inline std::pair parseRef(const char* ref) { int col = 0, row = 0; for (const char* cur = ref; *cur != '\0'; ++cur) { if (*cur >= '0' && *cur <= '9') { row = row * 10 + (*cur - '0'); } else if (*cur >= 'A' && *cur <= 'Z') { col = 26 * col + (*cur - 'A' + 1); } else { cpp11::stop("Invalid character '%s' in cell ref '%s'", *cur, ref); } } return std::make_pair(row - 1, col - 1); // zero indexed } // col = 1 --> first column aka column A, so 1-indexed inline std::string intToABC(int col) { std::string ret; while (col > 0) { col--; ret = (char)('A' + col % 26) + ret; col /= 26; } return ret; } // row = 1, col = 1 --> upper left cell aka column A1, so 1-indexed inline std::string asA1(const int row, const int col) { std::ostringstream ret; ret << intToABC(col) << row; return ret.str(); } // expects 0-indexed row and col inline std::string cellPosition(const int row, const int col) { std::ostringstream ret; ret << asA1(row + 1, col + 1) << " / R" << row + 1 << "C" << col + 1; return ret.str(); } inline bool logicalFromString(std::string maybe_tf, bool *out) { static const char *truenames[] = {"T", "True", "TRUE", "true"}; static const char *falsenames[] = {"F", "False", "FALSE", "false"}; bool matches = false; for (const char *name : truenames) { if (!strcmp(maybe_tf.c_str(), name)) { *out = true; matches = true; break; } } if (!matches) { for (const char *name : falsenames) { if (!strcmp(maybe_tf.c_str(), name)) { *out = false; matches = true; break; } } } return matches; } inline bool doubleFromString(std::string mystring, double& out) { char* e; errno = 0; out = std::strtod(mystring.c_str(), &e); if (*e != '\0' || // error, we didn't consume the entire string errno != 0 ) { // error, overflow or underflow return false; } return true; } inline std::string trim(const std::string& s) { size_t begin = s.find_first_not_of(" \t"); if (begin == std::string::npos) { return ""; } size_t end = s.find_last_not_of(" \t"); return s.substr(begin, end - begin + 1); } inline std::string dirName(const std::string& path) { std::size_t found = path.find_last_of('/'); if (found == std::string::npos) { return ""; } return path.substr(0, found); } inline std::string baseName(const std::string& path) { std::size_t found = path.find_last_of('/'); if (found == std::string::npos) { return path; } return path.substr(found + 1); } inline std::string removeLeadingSlashes(const std::string& s) { size_t start = s.find_first_not_of('/'); if (start == std::string::npos) { return ""; } return s.substr(start); } readxl/src/cpp11.cpp0000644000176200001440000001065414757465725014004 0ustar liggesusers// Generated by cpp11: do not edit by hand // clang-format off #include "readxl_types.h" #include "cpp11/declarations.hpp" #include // Read.cpp cpp11::list read_xls_(std::string path, int sheet_i, cpp11::integers limits, bool shim, cpp11::sexp col_names, cpp11::strings col_types, std::vector na, bool trim_ws, int guess_max, bool progress); extern "C" SEXP _readxl_read_xls_(SEXP path, SEXP sheet_i, SEXP limits, SEXP shim, SEXP col_names, SEXP col_types, SEXP na, SEXP trim_ws, SEXP guess_max, SEXP progress) { BEGIN_CPP11 return cpp11::as_sexp(read_xls_(cpp11::as_cpp>(path), cpp11::as_cpp>(sheet_i), cpp11::as_cpp>(limits), cpp11::as_cpp>(shim), cpp11::as_cpp>(col_names), cpp11::as_cpp>(col_types), cpp11::as_cpp>>(na), cpp11::as_cpp>(trim_ws), cpp11::as_cpp>(guess_max), cpp11::as_cpp>(progress))); END_CPP11 } // Read.cpp cpp11::list read_xlsx_(std::string path, int sheet_i, cpp11::integers limits, bool shim, cpp11::sexp col_names, cpp11::strings col_types, std::vector na, bool trim_ws, int guess_max, bool progress); extern "C" SEXP _readxl_read_xlsx_(SEXP path, SEXP sheet_i, SEXP limits, SEXP shim, SEXP col_names, SEXP col_types, SEXP na, SEXP trim_ws, SEXP guess_max, SEXP progress) { BEGIN_CPP11 return cpp11::as_sexp(read_xlsx_(cpp11::as_cpp>(path), cpp11::as_cpp>(sheet_i), cpp11::as_cpp>(limits), cpp11::as_cpp>(shim), cpp11::as_cpp>(col_names), cpp11::as_cpp>(col_types), cpp11::as_cpp>>(na), cpp11::as_cpp>(trim_ws), cpp11::as_cpp>(guess_max), cpp11::as_cpp>(progress))); END_CPP11 } // XlsWorkBook.cpp cpp11::strings xls_sheets(std::string path); extern "C" SEXP _readxl_xls_sheets(SEXP path) { BEGIN_CPP11 return cpp11::as_sexp(xls_sheets(cpp11::as_cpp>(path))); END_CPP11 } // XlsWorkBook.cpp std::set xls_date_formats(std::string path); extern "C" SEXP _readxl_xls_date_formats(SEXP path) { BEGIN_CPP11 return cpp11::as_sexp(xls_date_formats(cpp11::as_cpp>(path))); END_CPP11 } // XlsxWorkBook.cpp cpp11::strings xlsx_sheets(std::string path); extern "C" SEXP _readxl_xlsx_sheets(SEXP path) { BEGIN_CPP11 return cpp11::as_sexp(xlsx_sheets(cpp11::as_cpp>(path))); END_CPP11 } // XlsxWorkBook.cpp std::vector xlsx_strings(std::string path); extern "C" SEXP _readxl_xlsx_strings(SEXP path) { BEGIN_CPP11 return cpp11::as_sexp(xlsx_strings(cpp11::as_cpp>(path))); END_CPP11 } // XlsxWorkBook.cpp std::set xlsx_date_formats(std::string path); extern "C" SEXP _readxl_xlsx_date_formats(SEXP path) { BEGIN_CPP11 return cpp11::as_sexp(xlsx_date_formats(cpp11::as_cpp>(path))); END_CPP11 } // zip.cpp void zip_xml(const std::string& zip_path, const std::string& file_path); extern "C" SEXP _readxl_zip_xml(SEXP zip_path, SEXP file_path) { BEGIN_CPP11 zip_xml(cpp11::as_cpp>(zip_path), cpp11::as_cpp>(file_path)); return R_NilValue; END_CPP11 } extern "C" { static const R_CallMethodDef CallEntries[] = { {"_readxl_read_xls_", (DL_FUNC) &_readxl_read_xls_, 10}, {"_readxl_read_xlsx_", (DL_FUNC) &_readxl_read_xlsx_, 10}, {"_readxl_xls_date_formats", (DL_FUNC) &_readxl_xls_date_formats, 1}, {"_readxl_xls_sheets", (DL_FUNC) &_readxl_xls_sheets, 1}, {"_readxl_xlsx_date_formats", (DL_FUNC) &_readxl_xlsx_date_formats, 1}, {"_readxl_xlsx_sheets", (DL_FUNC) &_readxl_xlsx_sheets, 1}, {"_readxl_xlsx_strings", (DL_FUNC) &_readxl_xlsx_strings, 1}, {"_readxl_zip_xml", (DL_FUNC) &_readxl_zip_xml, 2}, {NULL, NULL, 0} }; } extern "C" attribute_visible void R_init_readxl(DllInfo* dll){ R_registerRoutines(dll, NULL, CallEntries, NULL, NULL); R_useDynamicSymbols(dll, FALSE); R_forceSymbols(dll, TRUE); } readxl/src/Read.cpp0000644000176200001440000000571014216663505013712 0ustar liggesusers#include "SheetView.h" #include "ColSpec.h" #include "cpp11/as.hpp" #include "cpp11/list.hpp" #include "cpp11/R.hpp" #include "cpp11/strings.hpp" #include template cpp11::list read_this_( std::string path, int sheet_i, cpp11::integers limits, bool shim, cpp11::sexp col_names, cpp11::strings col_types, std::vector na, bool trim_ws, int guess_max = 1000, bool progress = true) { // Construct worksheet ---------------------------------------------- SheetView ws(path, sheet_i, limits, shim, progress); // catches empty sheets and sheets where requested rectangle contains no data if (ws.nrow() == 0 && ws.ncol() == 0) { using namespace cpp11::literals; return cpp11::writable::list (0_xl); } // Get column names ------------------------------------------------- cpp11::writable::strings colNames; bool has_col_names = false; switch(TYPEOF(col_names)) { case STRSXP: colNames = cpp11::writable::strings(static_cast(col_names)); break; case LGLSXP: has_col_names = cpp11::as_cpp(col_names); colNames = has_col_names ? ws.colNames(na, trim_ws) : cpp11::writable::strings(ws.ncol()); break; default: cpp11::stop("`col_names` must be a logical or character vector"); } // Get column types -------------------------------------------------- if (TYPEOF(col_types) != STRSXP) { cpp11::stop("`col_types` must be a character vector"); } std::vector colTypes = colTypeStrings(col_types); colTypes = recycleTypes(colTypes, ws.ncol()); if ((int) colTypes.size() != ws.ncol()) { cpp11::stop("Sheet %d has %d columns, but `col_types` has length %d.", sheet_i + 1, ws.ncol(), colTypes.size()); } if (requiresGuess(colTypes)) { colTypes = ws.colTypes(colTypes, na, trim_ws, guess_max, has_col_names); } colTypes = finalizeTypes(colTypes); // Reconcile column names and types ---------------------------------- colNames = reconcileNames(colNames, colTypes, sheet_i); // Get data ---------------------------------------------------------- return ws.readCols(colNames, colTypes, na, trim_ws, has_col_names); } [[cpp11::register]] cpp11::list read_xls_( std::string path, int sheet_i, cpp11::integers limits, bool shim, cpp11::sexp col_names, cpp11::strings col_types, std::vector na, bool trim_ws, int guess_max = 1000, bool progress = true) { return read_this_(path, sheet_i, limits, shim, col_names, col_types, na, trim_ws, guess_max, progress); } [[cpp11::register]] cpp11::list read_xlsx_( std::string path, int sheet_i, cpp11::integers limits, bool shim, cpp11::sexp col_names, cpp11::strings col_types, std::vector na, bool trim_ws, int guess_max = 1000, bool progress = true) { return read_this_(path, sheet_i, limits, shim, col_names, col_types, na, trim_ws, guess_max, progress); } readxl/src/unix/0000755000176200001440000000000014757501346013317 5ustar liggesusersreadxl/src/unix/config-unix.h0000644000176200001440000000546514757501346015730 0ustar liggesusers/* config.h. Generated from config.h.in by configure. */ /* config.h.in. Generated from configure.ac by autoheader. */ /* define if the compiler supports basic C++11 syntax */ #define HAVE_CXX11 1 /* Define to 1 if you have the header file. */ #define HAVE_DLFCN_H 1 /* Define if you have the iconv() function and it works. */ #define HAVE_ICONV 1 /* Define to 1 if you have the header file. */ #define HAVE_INTTYPES_H 1 /* Define to 1 if you have the header file. */ #define HAVE_STDINT_H 1 /* Define to 1 if you have the header file. */ #define HAVE_STDIO_H 1 /* Define to 1 if you have the header file. */ #define HAVE_STDLIB_H 1 /* Define to 1 if you have the 'strdup' function. */ #define HAVE_STRDUP 1 /* Define to 1 if you have the header file. */ #define HAVE_STRINGS_H 1 /* Define to 1 if you have the header file. */ #define HAVE_STRING_H 1 /* Define to 1 if you have the header file. */ #define HAVE_SYS_STAT_H 1 /* Define to 1 if you have the header file. */ #define HAVE_SYS_TYPES_H 1 /* Define to 1 if you have the header file. */ #define HAVE_UNISTD_H 1 /* Define to 1 if you have the header file. */ #define HAVE_WCHAR_H 1 /* Define to 1 if you have the 'wcstombs_l' function. */ /* #undef HAVE_WCSTOMBS_L */ #ifdef __NetBSD__ #define HAVE_WCSTOMBS_L 1 #endif /* Define to 1 if you have the header file. */ /* #undef HAVE_XLOCALE_H */ /* Define as const if the declaration of iconv() needs const. */ #define ICONV_CONST /* Major version */ #define LIBXLS_MAJOR_VERSION 1 /* Micro version */ #define LIBXLS_MICRO_VERSION 3 /* Minor version */ #define LIBXLS_MINOR_VERSION 6 /* Define to the sub-directory where libtool stores uninstalled libraries. */ #define LT_OBJDIR ".libs/" /* Name of package */ #define PACKAGE "libxls" /* Define to the address where bug reports for this package should be sent. */ #define PACKAGE_BUGREPORT "https://github.com/libxls/libxls/issues" /* Define to the full name of this package. */ #define PACKAGE_NAME "libxls" /* Define to the full name and version of this package. */ #define PACKAGE_STRING "libxls 1.6.3" /* Define to the one symbol short name of this package. */ #define PACKAGE_TARNAME "libxls" /* Define to the home page for this package. */ #define PACKAGE_URL "https://github.com/libxls/libxls" /* Define to the version of this package. */ #define PACKAGE_VERSION "1.6.3" /* Define to 1 if all of the C89 standard headers exist (not just the ones required in a freestanding environment). This macro is provided for backward compatibility; new code need not use it. */ #define STDC_HEADERS 1 /* Version number of package */ #define VERSION "1.6.3" /* Define as 'unsigned int' if doesn't define. */ /* #undef size_t */ readxl/src/unix/config-macos.h0000644000176200001440000000537514753022124016033 0ustar liggesusers/* config.h. Generated from config.h.in by configure. */ /* config.h.in. Generated from configure.ac by autoheader. */ /* define if the compiler supports basic C++11 syntax */ #define HAVE_CXX11 1 /* Define to 1 if you have the header file. */ #define HAVE_DLFCN_H 1 /* Define if you have the iconv() function and it works. */ #define HAVE_ICONV 1 /* Define to 1 if you have the header file. */ #define HAVE_INTTYPES_H 1 /* Define to 1 if you have the header file. */ #define HAVE_STDINT_H 1 /* Define to 1 if you have the header file. */ #define HAVE_STDIO_H 1 /* Define to 1 if you have the header file. */ #define HAVE_STDLIB_H 1 /* Define to 1 if you have the 'strdup' function. */ #define HAVE_STRDUP 1 /* Define to 1 if you have the header file. */ #define HAVE_STRINGS_H 1 /* Define to 1 if you have the header file. */ #define HAVE_STRING_H 1 /* Define to 1 if you have the header file. */ #define HAVE_SYS_STAT_H 1 /* Define to 1 if you have the header file. */ #define HAVE_SYS_TYPES_H 1 /* Define to 1 if you have the header file. */ #define HAVE_UNISTD_H 1 /* Define to 1 if you have the header file. */ #define HAVE_WCHAR_H 1 /* Define to 1 if you have the 'wcstombs_l' function. */ #define HAVE_WCSTOMBS_L 1 /* Define to 1 if you have the header file. */ #define HAVE_XLOCALE_H 1 /* Define as const if the declaration of iconv() needs const. */ #define ICONV_CONST /* Major version */ #define LIBXLS_MAJOR_VERSION 1 /* Micro version */ #define LIBXLS_MICRO_VERSION 3 /* Minor version */ #define LIBXLS_MINOR_VERSION 6 /* Define to the sub-directory where libtool stores uninstalled libraries. */ #define LT_OBJDIR ".libs/" /* Name of package */ #define PACKAGE "libxls" /* Define to the address where bug reports for this package should be sent. */ #define PACKAGE_BUGREPORT "https://github.com/libxls/libxls/issues" /* Define to the full name of this package. */ #define PACKAGE_NAME "libxls" /* Define to the full name and version of this package. */ #define PACKAGE_STRING "libxls 1.6.3" /* Define to the one symbol short name of this package. */ #define PACKAGE_TARNAME "libxls" /* Define to the home page for this package. */ #define PACKAGE_URL "https://github.com/libxls/libxls" /* Define to the version of this package. */ #define PACKAGE_VERSION "1.6.3" /* Define to 1 if all of the C89 standard headers exist (not just the ones required in a freestanding environment). This macro is provided for backward compatibility; new code need not use it. */ #define STDC_HEADERS 1 /* Version number of package */ #define VERSION "1.6.3" /* Define as 'unsigned int' if doesn't define. */ /* #undef size_t */ readxl/src/unix/config.h0000644000176200001440000000013314753022124014716 0ustar liggesusers#ifdef __APPLE__ #include "unix/config-macos.h" #else #include "unix/config-unix.h" #endif readxl/src/XlsxString.h0000644000176200001440000000464314216663505014635 0ustar liggesusers#pragma once #include "rapidxml/rapidxml.h" #include #include // Rf_ucstoutf8 is exported in R_ext/GraphicsDevice.h // unescape an ST_Xstring. See 22.9.2.19 [p3786] inline std::string unescape(const std::string &s) { std::string out; out.reserve(s.size()); for (size_t i = 0; i < s.size(); i++) { if (i+6 < s.size() && s[i] == '_' && s[i+1] == 'x' && isxdigit(s[i+2]) && isxdigit(s[i+3]) && isxdigit(s[i+4]) && isxdigit(s[i+5]) && s[i+6] == '_') { // extract character unsigned int ch = strtoul(&s[i+2], NULL, 16); char utf8[16]; // 16 from definition of Rf_ucstoutf8 Rf_ucstoutf8(utf8, ch); out += utf8; i += 6; // skip to the final '_' } else { out.push_back(s[i]); } } return out; } // Parser for and inlineStr tags CT_Rst [p3893] // returns true if a string is found, false if missing. inline bool parseString(const rapidxml::xml_node<>* string, std::string *out) { bool found = false; out->clear(); const rapidxml::xml_node<>* t = string->first_node("t"); if (t != NULL) { // According to the spec (CT_Rst, p3893) a single element // may coexist with zero or more elements. // // However, software that read these files do not appear to exclusively // follow this spec. // // MacOSX preview, considers only the element if found and ignores any // additional r elements. // // // Excel 2010 appears to produce only elements with r elements or with a // single t element and no mixtures. It will, however, consider an element // with a single t element followed by one or more r elements as valid, // concatenating the results. Any other combination of r and t elements // is considered invalid. // // We read the tag, if present, first, then concatenate any tags. // All Excel 2010 sheets will read correctly under this regime. *out = unescape(t->value()); found = true; } // iterate over all r elements for (const rapidxml::xml_node<>* r = string->first_node("r"); r != NULL; r = r->next_sibling("r")) { // a unique t element should be present (CT_RElt [p3893]) // but MacOSX preview just ignores chunks with no t element present const rapidxml::xml_node<>* t = r->first_node("t"); if (t != NULL) { *out += unescape(t->value()); found = true; } } return found; } readxl/src/Makevars0000644000176200001440000000051614757445044014034 0ustar liggesusersPKG_CPPFLAGS = -Iunix -I. PKG_CFLAGS = $(C_VISIBILITY) PKG_CXXFLAGS = $(CXX_VISIBILITY) SOURCES = cpp11.cpp XlsWorkBook.cpp XlsxWorkBook.cpp zip.cpp Read.cpp OBJECTS = $(SOURCES:.cpp=.o) cran.o libxls/xlstool.o libxls/endian.o libxls/ole.o libxls/xls.o libxls/locale.o all: $(SHLIB) .PHONY: clean clean: rm -f $(SHLIB) $(OBJECTS) readxl/src/cran.c0000644000176200001440000000023113336631200013400 0ustar liggesusers#include "cran.h" void Rprintf2(FILE * stream, const char *format, ...) { va_list(ap); va_start(ap, format); Rprintf(format, ap); va_end(ap); } readxl/src/readxl_types.h0000644000176200001440000000001714216663505015202 0ustar liggesusers#include readxl/src/XlsCellSet.h0000644000176200001440000001201714216663505014524 0ustar liggesusers#pragma once #include "CellLimits.h" #include "Spinner.h" #include "XlsCell.h" #include "XlsWorkBook.h" #include "libxls/xls.h" #include "libxls/xlsstruct.h" #include "cpp11/as.hpp" #include "cpp11/integers.hpp" #include "cpp11/list.hpp" #include "cpp11/protect.hpp" #include "cpp11/R.hpp" #include "cpp11/sexp.hpp" #include "cpp11/strings.hpp" class XlsCellSet { // xls specifics xls::xlsWorkBook* pWB_; xls::xlsWorkSheet* pWS_; // common to xls[x] std::string sheetName_; CellLimits nominal_, actual_; int ncol_, nrow_; public: std::vector cells_; XlsCellSet(const XlsWorkBook wb, int sheet_i, cpp11::integers limits, bool shim, Spinner spinner_) : nominal_(limits) { if (sheet_i >= wb.n_sheets()) { cpp11::stop("Can't retrieve sheet in position %d, only %d sheet(s) found.", sheet_i + 1, wb.n_sheets()); } sheetName_ = wb.sheets()[sheet_i]; xls::xls_error_t error = xls::LIBXLS_OK; spinner_.spin(); pWB_ = xls_open_file(wb.path().c_str(), "UTF-8", &error); if (!pWB_) { Rf_errorcall( R_NilValue, "\n filepath: %s\n libxls error: %s", wb.path().c_str(), xls::xls_getError(error) ); } spinner_.spin(); pWS_ = xls::xls_getWorkSheet(pWB_, sheet_i); if (!pWS_) { cpp11::stop("Sheet '%s' (position %d): cannot be opened", sheetName_.c_str(), sheet_i + 1); } error = xls::xls_parseWorkSheet(pWS_); if (error != xls::LIBXLS_OK) { Rf_errorcall( R_NilValue, "\n filepath: %s\n sheet: %s\n libxls error: %s", wb.path().c_str(), sheetName_.c_str(), xls::xls_getError(error) ); } spinner_.spin(); // shim = TRUE when user specifies geometry via `range` // shim = FALSE when user specifies no geometry or uses `skip` and `n_max` // nominal_ holds user's geometry request, where -1 means "unspecified" loadCells(shim, spinner_); // nominal_ may have been shifted (case of implicit skipping and n_max) // actual_ reports populated cells inside the nominal_ rectangle // When shim = FALSE, we shrink-wrap the data that falls inside // the nominal_ rectangle. // // When shim = TRUE, we may need to insert dummy cells to fill out // the nominal_rectangle. // actual_ is updated to reflect the insertions. if (shim) insertShims(cells_, nominal_, actual_); nrow_ = (actual_.minRow() < 0) ? 0 : actual_.maxRow() - actual_.minRow() + 1; ncol_ = (actual_.minCol() < 0) ? 0 : actual_.maxCol() - actual_.minCol() + 1; } ~XlsCellSet() { try { xls::xls_close_WS(pWS_); xls::xls_close_WB(pWB_); } catch(...) {} } int ncol() const { return ncol_; } int nrow() const { return nrow_; } std::string sheetName() const {return sheetName_; } int startCol() const { return actual_.minCol(); } int lastRow() const { return actual_.maxRow(); } private: void loadCells(const bool shim, Spinner spinner_) { // by convention, min_row = -2 means 'read no data' if (nominal_.minRow() < -1) { return; } // count is for spinner and checking for interrupt int count = 0; int nominal_ncol = pWS_->rows.lastcol; int nominal_nrow = pWS_->rows.lastrow; xls::xlsCell* cell; bool nominal_needs_checking = !shim && nominal_.maxRow() >= 0; for (int i = 0; i <= nominal_nrow; ++i) { if (i < nominal_.minRow() || (!nominal_needs_checking && !nominal_.contains(i))) { continue; } for (xls::WORD j = 0; j <= nominal_ncol; ++j) { count++; if (count % PROGRESS_TICK == 0) { spinner_.spin(); cpp11::check_user_interrupt(); } if (nominal_needs_checking) { cell = xls_cell(pWS_, (xls::WORD) i, j); if (cell_is_readable(cell)) { if (i > nominal_.minRow()) { // implicit skip nominal_.update( i, i + nominal_.maxRow() - nominal_.minRow(), nominal_.minCol(), nominal_.maxCol() ); } nominal_needs_checking = false; } } if (nominal_.contains(i, j)) { cell = xls_cell(pWS_, (xls::WORD) i, j); if (cell_is_readable(cell)) { cells_.push_back(cell); actual_.update(i, j); } } } } } // Dimensions reported by xls and cells contained in xls include blank cells // that have formatting, therefore we test explicitly for non-blank cell types // and only load those cells. // 2.4.90 Dimensions p273 of [MS-XLS] bool cell_is_readable(const xls::xlsCell* cell) { return cell && ( cell->id == XLS_RECORD_MULRK || cell->id == XLS_RECORD_RSTRING || cell->id == XLS_RECORD_NUMBER || cell->id == XLS_RECORD_RK || cell->id == XLS_RECORD_LABELSST || cell->id == XLS_RECORD_LABEL || cell->id == XLS_RECORD_FORMULA || cell->id == XLS_RECORD_FORMULA_ALT || cell->id == XLS_RECORD_BOOLERR ); } }; readxl/src/CellLimits.h0000644000176200001440000001130414216663505014541 0ustar liggesusers#pragma once #include "XlsCell.h" #include "cpp11/integers.hpp" #include class CellLimits { int minRow_, maxRow_, minCol_, maxCol_; public: CellLimits() { minRow_ = -1; maxRow_ = -1; minCol_ = -1; maxCol_ = -1; } CellLimits(cpp11::integers limits) { minRow_ = limits[0]; maxRow_ = limits[1]; minCol_ = limits[2]; maxCol_ = limits[3]; } int minRow() const { return minRow_; } int maxRow() const { return maxRow_; } int minCol() const { return minCol_; } int maxCol() const { return maxCol_; } void update(const XlsCell cell) { update(cell.row(), cell.col()); } void update(const int row, const int col) { if (minRow_ < 0 || row < minRow_) { minRow_ = row; } if (row > maxRow_) { maxRow_ = row; } if (minCol_ < 0 || col < minCol_) { minCol_ = col; } if (col > maxCol_) { maxCol_ = col; } } void update(const int minRow, const int maxRow, const int minCol, const int maxCol) { minRow_ = minRow; maxRow_ = maxRow; minCol_ = minCol; maxCol_ = maxCol; } bool contains(const XlsCell cell) const { return contains(cell.row(), cell.col()); } bool contains(const int i, const int j) const { return contains(minRow_, maxRow_, i) && contains(minCol_, maxCol_, j); } bool contains(const int i) const { return contains(minRow_, maxRow_, i); } void print() { Rprintf("row min, max: %d, %d \t col min, max: %d, %d", minRow_, maxRow_, minCol_, maxCol_); } private: bool contains(int min, int max, int val) const { if (min < 0) { if (max < 0) { // min = max = -1 is our convention for 'no limits specified' return true; } else { // min < 0, max >= 0 should never happen, because cellranger should // always turn (-inf, max] into [0, max], but it's harmless to handle return val <= max; } } else { if (max < 0) { // min >= 0, max < 0 is our convention for [min, +inf) return val >= min; } else { // min >= 0, max >= 0 is the straightforward case: [min, max] return val >= min && val <= max; } } } }; // functions to compare a nominal cell limit (as in: "the user told me to start // reading at row 3") to an actual cell limit (as in: "among the readable cells // we loaded, the minimum observed row number is 4") // What's so funny? In these variations on "less than", "greater than", // "minimum", and "maximum", we account for the fact that, by convention, if the // user does not specify a particular cell limit, we encode that nominal limit // as -1. // 1 is less than 3, in the usual sense, AND in the funny sense // -1 is less than 3, in the usual sense, BUT NOT in the funny sense inline bool funny_lt(const int funny, const int val) { return (funny >= 0) && (funny < val); } inline bool funny_gt(const int funny, const int val) { return (funny >= 0) && (funny > val); } inline int funny_min(const int funny, const int val) { return funny_lt(funny, val) ? funny : val; } inline int funny_max(const int funny, const int val) { return funny_gt(funny, val) ? funny : val; } template void insertShims(std::vector& cells, const CellLimits& nominal, CellLimits& actual) { if (cells.empty()) { return; } // Recall cell limits are -1 by convention if the limit is unspecified. // funny_*() functions account for that. // if nominal min row or col is (funny) less than actual, // add a shim cell to the front of cells and update actual bool shim_up = funny_lt(nominal.minRow(), actual.minRow()); bool shim_left = funny_lt(nominal.minCol(), actual.minCol()); if (shim_up || shim_left) { int ul_row = funny_min(nominal.minRow(), actual.minRow()); int ul_col = funny_min(nominal.minCol(), actual.minCol()); T ul_shim(std::make_pair(ul_row, ul_col)); cells.insert(cells.begin(), ul_shim); actual.update(ul_row, ul_col); } // if nominal max row or col is (funny) greater than actual, // add a shim cell to the back of cells and update actual bool shim_down = funny_gt(nominal.maxRow(), actual.maxRow()); bool shim_right = funny_gt(nominal.maxCol(), actual.maxCol()); if (shim_down || shim_right) { int lr_row = funny_max(nominal.maxRow(), actual.maxRow()); int lr_col = funny_max(nominal.maxCol(), actual.maxCol()); T lr_shim(std::make_pair(lr_row, lr_col)); cells.push_back(lr_shim); actual.update(lr_row, lr_col); } } template typename std::vector::iterator advance_row(std::vector& x) { typename std::vector::iterator it = x.begin(); while (it != x.end() && it->row() == x.begin()->row()) { ++it; } return(it); } readxl/src/XlsWorkBook.cpp0000644000176200001440000000040014216663505015252 0ustar liggesusers#include "XlsWorkBook.h" [[cpp11::register]] cpp11::strings xls_sheets(std::string path) { XlsWorkBook wb(path); return wb.sheets(); } [[cpp11::register]] std::set xls_date_formats(std::string path) { return XlsWorkBook(path).dateFormats(); } readxl/src/XlsxCellSet.h0000644000176200001440000001336014216663505014716 0ustar liggesusers#pragma once #include "CellLimits.h" #include "ColSpec.h" #include "Spinner.h" #include "XlsxCell.h" #include "XlsxWorkBook.h" #include "rapidxml/rapidxml.h" #include "cpp11/integers.hpp" #include "cpp11/list.hpp" #include "cpp11/protect.hpp" #include "cpp11/sexp.hpp" #include "cpp11/strings.hpp" // Page and section numbers below refer to // ECMA-376 (version, date, and download URL given in XlsxCell.h) // 18.3.1.73 row (Row) [p1685] // 18.3.1.4 c (Cell) [p1593] // 18.3.1.96 v (Cell Value) [p1707] // 18.18.11 ST_CellType (Cell Type) [p2451] class XlsxCellSet { // xlsx specifics // http://rapidxml.sourceforge.net/manual.html // "In-situ parsing requires that source text lives at least as long as the // document object. If source text is destroyed, names and values of nodes in // DOM tree will become destroyed as well." // sheetXml_ = the document object // preciousXmlSourceText_ = the source text // Note: preciousXmlSourceText_ is the memory that backs sheetXml_ and, // ultimately, cells_. Therefore it must belong to the class and cannot just // be local to the constructor. rapidxml::xml_document<> sheetXml_; std::string preciousXmlSourceText_; rapidxml::xml_node<>* sheetData_; // common to xls[x] std::string sheetName_; CellLimits nominal_, actual_; int ncol_, nrow_; public: std::vector cells_; XlsxCellSet(const XlsxWorkBook wb, int sheet_i, cpp11::integers limits, bool shim, Spinner spinner_) : nominal_(limits) { if (sheet_i >= wb.n_sheets()) { cpp11::stop("Can't retrieve sheet in position %d, only %d sheet(s) found.", sheet_i + 1, wb.n_sheets()); } sheetName_ = wb.sheets()[sheet_i]; std::string sheetPath = wb.sheetPath(sheet_i); spinner_.spin(); preciousXmlSourceText_ = zip_buffer(wb.path(), sheetPath); spinner_.spin(); sheetXml_.parse(&preciousXmlSourceText_[0]); spinner_.spin(); rapidxml::xml_node<>* rootNode; rootNode = sheetXml_.first_node("worksheet"); if (!rootNode) { cpp11::stop("Sheet '%s' (position %d): Invalid sheet xml (no )", sheetName_.c_str(), sheet_i + 1); } sheetData_ = rootNode->first_node("sheetData"); if (!sheetData_) { cpp11::stop("Sheet '%s' (position %d): Invalid sheet xml (no )", sheetName_.c_str(), sheet_i + 1); } // shim = TRUE when user specifies geometry via `range` // shim = FALSE when user specifies no geometry or uses `skip` and `n_max` // nominal_ holds user's geometry request, where -1 means "unspecified" loadCells(shim, spinner_); // nominal_ may have been shifted (case of implicit skipping and n_max) // actual_ reports populated cells inside the nominal_ rectangle // When shim = FALSE, we shrink-wrap the data that falls inside // the nominal_ rectangle. // // When shim = TRUE, we may need to insert dummy cells to fill out // the nominal_rectangle. // actual_ is updated to reflect the insertions. if (shim) insertShims(cells_, nominal_, actual_); nrow_ = (actual_.minRow() < 0) ? 0 : actual_.maxRow() - actual_.minRow() + 1; ncol_ = (actual_.minCol() < 0) ? 0 : actual_.maxCol() - actual_.minCol() + 1; } int ncol() const { return ncol_; } int nrow() const { return nrow_; } std::string sheetName() const { return sheetName_; } int startCol() const { return actual_.minCol(); } int lastRow() const { return actual_.maxRow(); } private: void loadCells(const bool shim, Spinner spinner_) { // by convention, min_row = -2 means 'read no data' if (nominal_.minRow() < -1) { return; } rapidxml::xml_node<>* row = sheetData_->first_node("row"); if (!row) { return; } // count is for spinner and checking for interrupt int count = 0; int i = 0; bool nominal_needs_checking = !shim && nominal_.maxRow() >= 0; for (; row; row = row->next_sibling("row")) { // if row declares its number, take this opportunity to update i // when it exists, this row number is 1-indexed, but i is 0-indexed rapidxml::xml_attribute<>* ref = row->first_attribute("r"); if (ref) { i = std::atoi(ref->value()) - 1; } int j = 0; for (rapidxml::xml_node<>* cell = row->first_node("c"); cell; cell = cell->next_sibling("c")) { count++; if (count % PROGRESS_TICK == 0) { spinner_.spin(); cpp11::check_user_interrupt(); } // if cell declares its location, take this opportunity to update i and j ref = cell->first_attribute("r"); if (ref) { std::pair location = parseRef(ref->value()); i = location.first; j = location.second; } rapidxml::xml_node<>* first_child = cell->first_node(0); // only consider cells that have >= 1 child nodes // we require cell to have content, not just, e.g., a format if (first_child) { // We have a cell! // (i, j) is our best guess at location, but if cell declares // it's own location, we store that instead XlsxCell xcell(cell, i, j); if (nominal_needs_checking) { if (i > nominal_.minRow()) { // implicit skip happened nominal_.update( i, i + nominal_.maxRow() - nominal_.minRow(), nominal_.minCol(), nominal_.maxCol() ); } nominal_needs_checking = false; } if (nominal_.contains(i, j)) { cells_.push_back(xcell); actual_.update(i, j); } } j++; } i++; } } }; readxl/src/SheetView.h0000644000176200001440000002156514343565124014414 0ustar liggesusers#include // alpine linux / musl must be before others #include // alpine linux / musl must be before others #include "CellLimits.h" #include "ColSpec.h" #include "XlsWorkBook.h" #include "XlsxWorkBook.h" #include "XlsCellSet.h" #include "XlsxCellSet.h" #include "XlsCell.h" #include "XlsxCell.h" #include "cpp11/R.hpp" #include "cpp11/strings.hpp" #include #include #include class Xls { public: typedef XlsWorkBook Book; typedef XlsCellSet CellSet; typedef XlsCell Cell; }; class Xlsx { public: typedef XlsxWorkBook Book; typedef XlsxCellSet CellSet; typedef XlsxCell Cell; }; template class SheetView { Spinner spinner_; typename T::Book wb_; typename T::CellSet cs_; public: SheetView(const std::string& path, int sheet_i, cpp11::integers limits, bool shim, bool progress) : spinner_(progress), wb_(path), cs_(wb_, sheet_i, limits, shim, spinner_) { } int ncol() const { return cs_.ncol(); } int nrow() const { return cs_.nrow(); } cpp11::strings colNames(const StringSet &na, const bool trimWs) { cpp11::writable::strings out(cs_.ncol()); typename std::vector::iterator xcell = cs_.cells_.begin(); int base = xcell->row(); while(xcell != cs_.cells_.end() && xcell->row() == base) { xcell->inferType(na, trimWs, wb_.dateFormats(), wb_.stringTable()); int position = xcell->col() - cs_.startCol(); out[position] = cpp11::r_string(xcell->asCharSxp(trimWs, wb_.stringTable())); xcell++; } return out; } std::vector colTypes(std::vector types, const StringSet &na, const bool trimWs, int guess_max = 1000, bool has_col_names = false) { if (guess_max == 0) { return types; } typename std::vector::iterator xcell; xcell = has_col_names ? advance_row(cs_.cells_) : cs_.cells_.begin(); // no cell data to consult re: types if (xcell == cs_.cells_.end()) { std::fill(types.begin(), types.end(), COL_BLANK); return types; } std::vector type_known(types.size()); for (size_t j = 0; j < types.size(); j++) { type_known[j] = types[j] != COL_UNKNOWN; } // count is for spinner and checking for interrupt int count = 0; // base is row the data starts on **in the spreadsheet** int base = cs_.cells_.begin()->row() + has_col_names; while (xcell != cs_.cells_.end() && xcell->row() - base < guess_max) { count++; if (count % PROGRESS_TICK == 0) { spinner_.spin(); cpp11::check_user_interrupt(); } int j = xcell->col() - cs_.startCol(); if (type_known[j] || types[j] == COL_TEXT) { xcell++; continue; } xcell->inferType(na, trimWs, wb_.dateFormats(), wb_.stringTable()); ColType type = as_ColType(xcell->type()); if (type > types[j]) { types[j] = type; } xcell++; } return types; } cpp11::list readCols(cpp11::strings names, const std::vector& types, const StringSet &na, const bool trimWs, bool has_col_names = false) { typename std::vector::iterator xcell; xcell = has_col_names ? advance_row(cs_.cells_) : cs_.cells_.begin(); // base is row the data starts on **in the spreadsheet** int base = cs_.cells_.begin()->row() + has_col_names; int n = (xcell == cs_.cells_.end()) ? 0 : cs_.lastRow() - base + 1; cpp11::writable::list cols(cs_.ncol()); cols.attr("names") = names; for (int j = 0; j < cs_.ncol(); ++j) { cols[j] = makeCol(types[j], n); } if (n == 0) { return cols; } // count is for spinner and checking for interrupt int count = 0; while (xcell != cs_.cells_.end()) { int i = xcell->row(); int j = xcell->col(); // col to write into int col = j - cs_.startCol(); count++; if (count % PROGRESS_TICK == 0) { spinner_.spin(); cpp11::check_user_interrupt(); } if (types[col] == COL_SKIP) { xcell++; continue; } xcell->inferType(na, trimWs, wb_.dateFormats(), wb_.stringTable()); CellType type = xcell->type(); cpp11::sexp column = cpp11::as_sexp(cols[col]); // row to write into int row = i - base; // Fit cell of type x into a column of type y // Conventions: // * process type in same order as enum, unless reason to do otherwise // * access cell contents only via asWhatever() methods switch(types[col]) { case COL_UNKNOWN: case COL_BLANK: case COL_SKIP: break; case COL_LOGICAL: if (type == CELL_DATE) { // print date string here, when/if it's possible to do so cpp11::warning("Expecting logical in %s: got a date", cellPosition(i, j).c_str()); } switch(type) { case CELL_UNKNOWN: case CELL_BLANK: case CELL_LOGICAL: case CELL_DATE: case CELL_NUMERIC: LOGICAL(column)[row] = xcell->asLogical(); break; case CELL_TEXT: { std::string text_string = xcell->asStdString(trimWs, wb_.stringTable()); bool text_boolean; if (logicalFromString(text_string, &text_boolean)) { LOGICAL(column)[row] = text_boolean; } else { cpp11::warning("Expecting logical in %s: got '%s'", cellPosition(i, j).c_str(), text_string.c_str()); LOGICAL(column)[row] = NA_LOGICAL; } } break; } break; case COL_DATE: if (type == CELL_LOGICAL) { cpp11::warning("Expecting date in %s: got boolean", cellPosition(i, j).c_str()); } if (type == CELL_NUMERIC) { cpp11::warning("Coercing numeric to date in %s", cellPosition(i, j).c_str()); } if (type == CELL_TEXT) { cpp11::warning("Expecting date in %s: got '%s'", cellPosition(i, j).c_str(), (xcell->asStdString(trimWs, wb_.stringTable())).c_str()); } REAL(column)[row] = xcell->asDate(wb_.is1904()); break; case COL_NUMERIC: if (type == CELL_LOGICAL) { cpp11::warning("Coercing boolean to numeric in %s", cellPosition(i, j).c_str()); } if (type == CELL_DATE) { // print date string here, when/if possible cpp11::warning("Expecting numeric in %s: got a date", cellPosition(i, j).c_str()); } switch(type) { case CELL_UNKNOWN: case CELL_BLANK: case CELL_LOGICAL: case CELL_DATE: case CELL_NUMERIC: REAL(column)[row] = xcell->asDouble(); break; case CELL_TEXT: { std::string num_string = xcell->asStdString(trimWs, wb_.stringTable()); double num_num; bool success = doubleFromString(num_string, num_num); if (success) { cpp11::warning("Coercing text to numeric in %s: '%s'", cellPosition(i, j).c_str(), num_string.c_str()); REAL(column)[row] = num_num; } else { cpp11::warning("Expecting numeric in %s: got '%s'", cellPosition(i, j).c_str(), num_string.c_str()); REAL(column)[row] = NA_REAL; } } break; } break; case COL_TEXT: // not issuing warnings for NAs or coercion, because "text" is the // fallback column type and there are too many warnings to be helpful SET_STRING_ELT(column, row, xcell->asCharSxp(trimWs, wb_.stringTable())); break; case COL_LIST: switch(type) { case CELL_UNKNOWN: case CELL_BLANK: SET_VECTOR_ELT(column, row, Rf_ScalarLogical(NA_LOGICAL)); break; case CELL_LOGICAL: SET_VECTOR_ELT(column, row, Rf_ScalarLogical(xcell->asLogical())); break; case CELL_DATE: { cpp11::sexp cell_val = Rf_ScalarReal(xcell->asDate(wb_.is1904())); cell_val.attr("class") = {"POSIXct", "POSIXt"}; cell_val.attr("tzone") = "UTC"; SET_VECTOR_ELT(column, row, cell_val); break; } case CELL_NUMERIC: SET_VECTOR_ELT(column, row, Rf_ScalarReal(xcell->asDouble())); break; case CELL_TEXT: { cpp11::writable::strings rStringVector({NA_STRING}); SET_STRING_ELT(rStringVector, 0, xcell->asCharSxp(trimWs, wb_.stringTable())); SET_VECTOR_ELT(column, row, rStringVector); break; } } } xcell++; } return removeSkippedColumns(cols, names, types); } }; readxl/src/windows/0000755000176200001440000000000014753022124014012 5ustar liggesusersreadxl/src/windows/config.h0000644000176200001440000000541314753022124015433 0ustar liggesusers/* config.h. Generated from config.h.in by configure. */ /* config.h.in. Generated from configure.ac by autoheader. */ /* define if the compiler supports basic C++11 syntax */ #define HAVE_CXX11 1 /* Define to 1 if you have the header file. */ /* #undef HAVE_DLFCN_H */ /* Define if you have the iconv() function and it works. */ #define HAVE_ICONV 1 /* Define to 1 if you have the header file. */ #define HAVE_INTTYPES_H 1 /* Define to 1 if you have the header file. */ #define HAVE_STDINT_H 1 /* Define to 1 if you have the header file. */ #define HAVE_STDIO_H 1 /* Define to 1 if you have the header file. */ #define HAVE_STDLIB_H 1 /* Define to 1 if you have the 'strdup' function. */ #define HAVE_STRDUP 1 /* Define to 1 if you have the header file. */ #define HAVE_STRINGS_H 1 /* Define to 1 if you have the header file. */ #define HAVE_STRING_H 1 /* Define to 1 if you have the header file. */ #define HAVE_SYS_STAT_H 1 /* Define to 1 if you have the header file. */ #define HAVE_SYS_TYPES_H 1 /* Define to 1 if you have the header file. */ #define HAVE_UNISTD_H 1 /* Define to 1 if you have the header file. */ #define HAVE_WCHAR_H 1 /* Define to 1 if you have the 'wcstombs_l' function. */ /* #undef HAVE_WCSTOMBS_L */ /* Define to 1 if you have the header file. */ /* #undef HAVE_XLOCALE_H */ /* Define as const if the declaration of iconv() needs const. */ #define ICONV_CONST const /* Major version */ #define LIBXLS_MAJOR_VERSION 1 /* Micro version */ #define LIBXLS_MICRO_VERSION 3 /* Minor version */ #define LIBXLS_MINOR_VERSION 6 /* Define to the sub-directory where libtool stores uninstalled libraries. */ #define LT_OBJDIR ".libs/" /* Name of package */ #define PACKAGE "libxls" /* Define to the address where bug reports for this package should be sent. */ #define PACKAGE_BUGREPORT "https://github.com/libxls/libxls/issues" /* Define to the full name of this package. */ #define PACKAGE_NAME "libxls" /* Define to the full name and version of this package. */ #define PACKAGE_STRING "libxls 1.6.3" /* Define to the one symbol short name of this package. */ #define PACKAGE_TARNAME "libxls" /* Define to the home page for this package. */ #define PACKAGE_URL "https://github.com/libxls/libxls" /* Define to the version of this package. */ #define PACKAGE_VERSION "1.6.3" /* Define to 1 if all of the C89 standard headers exist (not just the ones required in a freestanding environment). This macro is provided for backward compatibility; new code need not use it. */ #define STDC_HEADERS 1 /* Version number of package */ #define VERSION "1.6.3" /* Define as 'unsigned int' if doesn't define. */ /* #undef size_t */ readxl/src/XlsCell.h0000644000176200001440000002247014216663505014054 0ustar liggesusers#pragma once #include "ColSpec.h" #include "utils.h" #include "libxls/xls.h" #include "libxls/xlsstruct.h" #include "libxls/xlstypes.h" #include #include // Key reference for understanding the structure of the xls format is // [MS-XLS]: Excel Binary File Format (.xls) Structure // https://msdn.microsoft.com/en-us/library/cc313154(v=office.12).aspx // http://interoperability.blob.core.windows.net/files/MS-XLS/[MS-XLS].pdf // Page and section numbers below refer to // v20161017, Release: October 17, 2016 class XlsCell { xls::xlsCell *cell_; std::pair location_; CellType type_; public: XlsCell(xls::xlsCell *cell): cell_(cell) { location_ = std::make_pair(cell_->row, cell_->col); type_ = CELL_UNKNOWN; } XlsCell(std::pair loc) { cell_ = NULL; location_ = loc; type_ = CELL_BLANK; } int row() const { return location_.first; } int col() const { return location_.second; } CellType type() const { return type_; } void inferType(const StringSet& na, const bool trimWs, const std::set& dateFormats, const std::vector& stringTable) { // 1. Review of Excel's declared cell types, then // 2. Summary of how Excel's cell types map to our CellType enum // // 2.2.1 Cell Table p80: // "Cells are specified by any of the records specified in the CELL rule // (section 2.1.7.20.6)." // // 2.1.7.20.6 p74 The CELL Rule: // CELL = FORMULA / Blank / MulBlank / RK / MulRk / BoolErr / Number / LabelSst // // 2.3 Record Enumeration // Has 2 tables associating each record type value with a name and number. // 2.3.1 starting p168 is ordered by name // 2.3.2 starting p180 is ordered by number // // LabelSst 2.4.149 p325 // Label 2.4.148 p325 // Formula 2.4.127 p309 // Formula (Apple Numbers Bug) via libxls // MulRk 2.4.175 p344 // Number 2.4.180 p348 // Rk 2.4.220 p376 // MulBlank 2.4.174 p344 // Blank 2.4.20 p212 // BoolErr 2.4.24 p216 // // For info on how libxls extracts and exposes, see xls_addCell. Also // consult xlsstruct.h to confirm record numbers. // // We map Excel's cell types to the CellType enum based on declared type // and contents. // // CELL_BLANK // shared string or string formula whose value matches na // boolean or boolean formula whose value (TRUE or FALSE) matches na // number or numeric formula whose double value (d) matches na // explicit blank cell // formula in error (except #NULL!) or static error (#N/A) // examples: // static: id = 517, str = "error", d = 42, l = 0, xf = 15 // formula: id = 6, str = "error", d = 29, l = 65535, xf = 15 // // CELL_LOGICAL // boolean or boolean formula whose value (TRUE or FALSE) does not match na // examples: // static: id = 517, str = "bool", d = 0 or 1, l = 0, xf = 15 // formula: id = 6, str = "bool", d = 0 or 1, l = 65535, xf = 15 // // CELL_DATE // number or numeric formula with a date format, whose double value (d) // does not match na // examples: // static: id = 638, str = "42426.000000", d = 42426, l = 0, xf = 62 // formula: id = 6, str = "42431", d = 42431, l = 0, xf = 62 // // CELL_NUMERIC // number or numeric formula with no format or a non-date format, whose // double value (d) does not match na // examples: // static: id = 638, str = "1.300000", d = 1.3, l = 0, xf = 15 // formula: id = 6, str = "1", d = 1.69, l = 0, xf = 15 // // CELL_TEXT // shared string or string formula whose value does not match na // examples: // static: id = 253, str = "something", d = 0, l = 0, xf = 15 // formula: id = 6, str = "something", d = 0, l = 65535, xf = 15 if (type_ != CELL_UNKNOWN) { return; } CellType ct; switch(cell_->id) { case XLS_RECORD_LABELSST: case XLS_RECORD_LABEL: case XLS_RECORD_RSTRING: { std::string s = cell_->str == NULL ? "" : cell_->str; ct = na.contains(s, trimWs) ? CELL_BLANK : CELL_TEXT; break; } case XLS_RECORD_FORMULA: case XLS_RECORD_FORMULA_ALT: // l = 0 --> result is a number, possibly date // l = 65535 --> everything else if (cell_->l == 0) { if (na.contains(cell_->d)) { ct = CELL_BLANK; break; } int format = cell_->xf; ct = (dateFormats.count(format) > 0) ? CELL_DATE : CELL_NUMERIC; break; } else { // formula evaluates to Boolean, string, or error // Boolean if (strncmp((char *) cell_->str, "bool", 4) == 0) { if ( (cell_->d == 0 && na.contains("FALSE")) || (cell_->d == 1 && na.contains("TRUE")) ) { ct = CELL_BLANK; } else { ct = CELL_LOGICAL; } break; } // error // libxls puts "error" in str for all errors and // puts the error code in d // Code Error // 0x00 #NULL! <-- indistinguishable from "error" formula string :( // 0x07 #DIV/0! // 0x0F #VALUE! // 0x17 #REF! // 0x1D #NAME? // 0x24 #NUM! // 0x2A #N/A // 0x2B #GETTING_DATA if (strncmp((char *) cell_->str, "error", 5) == 0 && cell_->d > 0) { ct = CELL_BLANK; break; } // string (or #NULL! error) // d = 0 and str holds string formula result ct = na.contains((char*) cell_->str, trimWs) ? CELL_BLANK : CELL_TEXT; } break; case XLS_RECORD_MULRK: case XLS_RECORD_NUMBER: case XLS_RECORD_RK: { if (na.contains(cell_->d)) { ct = CELL_BLANK; break; } int format = cell_->xf; ct = (dateFormats.count(format) > 0) ? CELL_DATE : CELL_NUMERIC; } break; case XLS_RECORD_MULBLANK: case XLS_RECORD_BLANK: ct = CELL_BLANK; break; case XLS_RECORD_BOOLERR: if (strncmp((char *) cell_->str, "bool", 4) == 0) { if ( (cell_->d == 0 && na.contains("FALSE")) || (cell_->d == 1 && na.contains("TRUE")) ) { ct = CELL_BLANK; } else { ct = CELL_LOGICAL; } } else { // must be an error ct = CELL_BLANK; } break; default: cpp11::warning("Unrecognized cell type at %s: '%s'", cellPosition(row(), col()).c_str(), cell_->id); ct = CELL_UNKNOWN; } type_ = ct; } std::string asStdString(const bool trimWs, const std::vector& stringTable) const { switch(type_) { case CELL_UNKNOWN: case CELL_BLANK: return ""; case CELL_LOGICAL: return cell_->d ? "TRUE" : "FALSE"; case CELL_DATE: // not ideal for a date but will have to do ... one day: asDateString()? case CELL_NUMERIC: { std::ostringstream strs; // if cell_->d is integer-ish, need to: // * prevent use of scientific notation // * prevent gratuitous zeros after decimal mark // GOOD: "36436153" // BAD: "3.64362e+07" // BAD: "36436153.000000" // examples: social security or student number double intpart; if (std::modf(cell_->d, &intpart) == 0.0) { strs << std::fixed << (int64_t)cell_->d; } else { strs << std::setprecision(std::numeric_limits::digits10 + 2) << cell_->d; } std::string out_string = strs.str(); return out_string; } case CELL_TEXT: { std::string out_string = (char*) cell_->str; return trimWs ? trim(out_string) : out_string; } default: cpp11::warning("Unrecognized cell type at %s: '%s'", cellPosition(row(), col()).c_str(), cell_->id); return ""; } } cpp11::sexp asCharSxp( const bool trimWs, const std::vector& stringTable) const { std::string out_string = asStdString(trimWs, stringTable); return out_string.empty() ? NA_STRING : Rf_mkCharCE(out_string.c_str(), CE_UTF8); } int asLogical() const { switch(type_) { case CELL_UNKNOWN: case CELL_BLANK: case CELL_DATE: case CELL_TEXT: return NA_LOGICAL; case CELL_LOGICAL: case CELL_NUMERIC: return cell_->d != 0; default: cpp11::warning("Unrecognized cell type at %s: '%s'", cellPosition(row(), col()).c_str(), cell_->id); return NA_LOGICAL; } } double asDouble() const { switch(type_) { case CELL_UNKNOWN: case CELL_BLANK: case CELL_TEXT: return NA_REAL; case CELL_LOGICAL: case CELL_DATE: case CELL_NUMERIC: return cell_->d; default: cpp11::warning("Unrecognized cell type at %s: '%s'", cellPosition(row(), col()).c_str(), cell_->id); return NA_REAL; } } double asDate(bool is1904) const { switch(type_) { case CELL_UNKNOWN: case CELL_BLANK: case CELL_LOGICAL: case CELL_TEXT: return NA_REAL; case CELL_DATE: case CELL_NUMERIC: return POSIXctFromSerial(cell_->d, is1904); default: cpp11::warning("Unrecognized cell type at %s: '%s'", cellPosition(row(), col()).c_str(), cell_->id); return NA_REAL; } } }; readxl/src/zip.cpp0000644000176200001440000000227414752725650013650 0ustar liggesusers#include "zip.h" #include "rapidxml/rapidxml_print.h" #include "cpp11/as.hpp" #include "cpp11/function.hpp" #include "cpp11/raws.hpp" #include "cpp11/sexp.hpp" std::string zip_buffer(const std::string& zip_path, const std::string& file_path) { cpp11::function zip_buffer = cpp11::package("readxl")["zip_buffer"]; cpp11::raws xml(zip_buffer(zip_path, file_path)); std::string buffer(RAW(xml), RAW(xml) + xml.size()); buffer.push_back('\0'); return buffer; } bool zip_has_file(const std::string& zip_path, const std::string& file_path) { cpp11::function zip_has_file = cpp11::package("readxl")["zip_has_file"]; cpp11::sexp out = zip_has_file(zip_path, file_path); return cpp11::as_cpp(out); } std::string xml_print(std::string xml) { rapidxml::xml_document<> doc; xml.push_back('\0'); doc.parse(&xml[0]); std::string s; rapidxml::print(std::back_inserter(s), doc, 0); return s; } [[cpp11::register]] void zip_xml(const std::string& zip_path, const std::string& file_path) { std::string buffer = zip_buffer(zip_path, file_path); Rprintf("%s", xml_print(buffer).c_str()); } readxl/src/XlsxCell.h0000644000176200001440000002276314216663505014251 0ustar liggesusers#pragma once #include "ColSpec.h" #include "XlsxString.h" #include "utils.h" #include "rapidxml/rapidxml.h" // Key reference for understanding the structure of the XML is // ECMA-376 (http://www.ecma-international.org/publications/standards/Ecma-376.htm) // Section and page numbers below refer to the 5th edition October 2016 // 18.3.1.4 c (Cell) [p1593] // 18.3.1.96 v (Cell Value) [p1707] // 18.18.11 ST_CellType (Cell Type) [p2451] class XlsxCell { rapidxml::xml_node<>* cell_; std::pair location_; CellType type_; public: // if possible, provide guess at row and column based on position within xml XlsxCell(rapidxml::xml_node<>* cell, int row = -1, int col = -1): cell_(cell) { rapidxml::xml_attribute<>* ref = cell_->first_attribute("r"); if (ref == NULL) { location_ = std::make_pair(row, col); } else { location_ = parseRef(ref->value()); } type_ = CELL_UNKNOWN; } XlsxCell(std::pair loc) { cell_ = NULL; location_ = loc; type_ = CELL_BLANK; } int row() const { return location_.first; } int col() const { return location_.second; } CellType type() const { return type_; } void inferType(const StringSet& na, const bool trimWs, const std::set& dateFormats, const std::vector& stringTable) { // 1. Review of Excel's declared cell types, then // 2. Summary of how Excel's cell types map to our CellType enum // // this table refers to the value of the t attribute of a cell // 18.18.11 ST_CellType (Cell Type) [p2451] // This simple type is restricted to the values listed in the following table: // ------------------------------------------------------------------------- // Enumeration Value Description // ------------------------------------------------------------------------- // b (Boolean) Cell containing a boolean. // d (Date) Cell contains a date in the ISO 8601 format. // e (Error) Cell containing an error. // inlineStr (Inline String) Cell containing an (inline) rich string, i.e., // one not in the shared string table. If this // cell type is used, then the cell value is in // the is element rather than the v element in // the cell (c element). // n (Number) Cell containing a number. // s (Shared String) Cell containing a shared string. // str (String) Cell containing a formula string. // // We map Excel's cell types to the CellType enum based on declared type // and contents. // // CELL_BLANK // inlineStr cell and (string is na or string can't be found) // cell has no v node and is not an inlineStr cell // v->value() is na // error cell // shared string cell and string is na // // CELL_LOGICAL // Boolean cell and its value (TRUE or FALSE) is not in na // // CELL_DATE // numeric cell (t attr is "n" or does not exist) with a date format // // CELL_NUMERIC // numeric cell (t attr is "n" or does not exist) with no format or a // non-date format // // CELL_TEXT // inlineStr cell and string is found and string is not na // ISO 8601 date cell (t attr is "d") <- we're not sure this exists IRL // shared string cell and string is not na // formula string cell and string is not na // anything that is not explicitly addressed elsewhere if (type_ != CELL_UNKNOWN) { return; } rapidxml::xml_attribute<>* t = cell_->first_attribute("t"); rapidxml::xml_node<>* v = cell_->first_node("v"); // inlineStr (Inline String) Cell containing an (inline) rich string if (t != NULL && strncmp(t->value(), "inlineStr", 9) == 0) { // must do this first, because inlineStr cells do not have a v node // and the check just below would otherwise make them all CELL_BLANK rapidxml::xml_node<>* is = cell_->first_node("is"); std::string inline_string; if (parseString(is, &inline_string)) { type_ = na.contains(inline_string, trimWs) ? CELL_BLANK : CELL_TEXT; } else { type_ = CELL_BLANK; } return; } // s (Shared String) Cell containing a shared string. if (t != NULL && strncmp(t->value(), "s", 5) == 0) { int id = atoi(v->value()); const std::string& string = stringTable.at(id); type_ = na.contains(string, trimWs) ? CELL_BLANK : CELL_TEXT; return; } if (v == NULL || na.contains(v->value(), trimWs)) { type_ = CELL_BLANK; return; } // from here on, no need for explicit NA check // n (Number) Cell containing a number. if (t == NULL || strncmp(t->value(), "n", 5) == 0) { rapidxml::xml_attribute<>* s = cell_->first_attribute("s"); int format = (s == NULL) ? -1 : atoi(s->value()); type_ = (dateFormats.count(format) > 0) ? CELL_DATE : CELL_NUMERIC; return; } // b (Boolean) Cell containing a boolean. if (strncmp(t->value(), "b", 5) == 0) { type_ = CELL_LOGICAL; return; } // d (Date) Cell contains a date in the ISO 8601 format. if (strncmp(t->value(), "d", 5) == 0) { // Hadley: // Does excel use this? Regardless, don't have cross-platform ISO8601 // parser (yet) so need to return as text // Jenny: // Not entirely sure what this is about. I've never seen one IRL. type_ = CELL_TEXT; return; } // e (Error) Cell containing an error. if (strncmp(t->value(), "e", 5) == 0) { type_ = CELL_BLANK; return; } // str (String) Cell containing a formula string. if (strncmp(t->value(), "str", 5) == 0) { type_ = CELL_TEXT; return; } cpp11::warning("Unrecognized cell type at %s: '%s'", cellPosition(row(), col()).c_str(), t->value()); } std::string asStdString(const bool trimWs, const std::vector& stringTable) const { if (cell_ == NULL) { return ""; } rapidxml::xml_node<>* v = cell_->first_node("v"); rapidxml::xml_attribute<>* t = cell_->first_attribute("t"); switch(type_) { case CELL_UNKNOWN: case CELL_BLANK: return ""; case CELL_LOGICAL: return atoi(v->value()) ? "TRUE" : "FALSE"; case CELL_DATE: // not ideal for a date but will have to do ... one day: asDateString()? case CELL_NUMERIC: return std::string(v->value()); case CELL_TEXT: { std::string out_string; // inlineStr rapidxml::xml_node<>* is = cell_->first_node("is"); if (is != NULL) { if (parseString(is, &out_string)) { return trimWs ? trim(out_string) : out_string; } else { return "NA"; } } // shared string if (strncmp(t->value(), "s", 5) == 0) { out_string = stringFromTable(v->value(), stringTable); return trimWs ? trim(out_string) : out_string; } // formula string cell or // the mythical ISO 8601 date cell out_string = std::string(v->value()); return trimWs ? trim(out_string) : out_string; } default: cpp11::warning("Unrecognized cell type at %s", cellPosition(row(), col()).c_str()); return ""; } } cpp11::sexp asCharSxp( const bool trimWs, const std::vector& stringTable) const { std::string out_string = asStdString(trimWs, stringTable); return out_string.empty() ? NA_STRING : Rf_mkCharCE(out_string.c_str(), CE_UTF8); } int asLogical() const { switch(type_) { case CELL_UNKNOWN: case CELL_BLANK: case CELL_DATE: case CELL_TEXT: return NA_LOGICAL; case CELL_LOGICAL: case CELL_NUMERIC: { rapidxml::xml_node<>* v = cell_->first_node("v"); return atoi(v->value()) != 0; } default: cpp11::warning("Unrecognized cell type at %s", cellPosition(row(), col()).c_str()); return NA_LOGICAL; } } double asDouble() const { switch(type_) { case CELL_UNKNOWN: case CELL_BLANK: case CELL_TEXT: return NA_REAL; case CELL_LOGICAL: case CELL_DATE: case CELL_NUMERIC: { rapidxml::xml_node<>* v = cell_->first_node("v"); return atof(v->value()); } default: cpp11::warning("Unrecognized cell type at %s", cellPosition(row(), col()).c_str()); return NA_REAL; } } double asDate(bool is1904) const { switch(type_) { case CELL_UNKNOWN: case CELL_BLANK: case CELL_LOGICAL: case CELL_TEXT: return NA_REAL; case CELL_DATE: case CELL_NUMERIC: { rapidxml::xml_node<>* v = cell_->first_node("v"); return POSIXctFromSerial(atof(v->value()), is1904); } default: cpp11::warning("Unrecognized cell type at %s", cellPosition(row(), col()).c_str()); return NA_REAL; } } private: std::string stringFromTable(const char* val, const std::vector& stringTable) const { int id = atoi(val); if (id < 0 || id >= (int) stringTable.size()) { cpp11::warning("Invalid string id at %s: %i", cellPosition(row(), col()).c_str(), id); return ""; } const std::string& string = stringTable.at(id); return string; } }; readxl/src/cran.h0000644000176200001440000000064214216663505013426 0ustar liggesusers#ifndef __READ_XLS_CRAN_H #define __READ_XLS_CRAN_H /* Mask printf and fprintf for CMD check */ #include #define printf Rprintf #ifdef __cplusplus extern "C" { #include #endif void Rprintf2(FILE * stream, const char *format, ...); #ifdef __cplusplus } #endif #define fprintf Rprintf2 #undef stderr #define stderr NULL #undef assert #define assert(X) if (X) {} #define exit assert #endif readxl/src/Spinner.h0000644000176200001440000000076314216663505014125 0ustar liggesusers#pragma once #include const int PROGRESS_TICK = 131072; // 2^17 class Spinner { bool progress_; RProgress::RProgress pb_; public: Spinner(bool progress = true): progress_(progress) { if (progress_) { pb_ = RProgress::RProgress(":spin"); pb_.set_total(1); pb_.set_show_after(2); } } void spin() { if (progress_) pb_.update(0.5); } void finish() { if (progress_) pb_.update(1); } ~Spinner() { if (this->progress_) this->finish(); } }; readxl/src/libxls/0000755000176200001440000000000014757502114013623 5ustar liggesusersreadxl/src/libxls/xlstypes.h0000644000176200001440000000407314757453240015700 0ustar liggesusers/* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * Copyright 2004 Komarov Valery * Copyright 2006 Christophe Leitienne * Copyright 2008-2017 David Hoerl * Copyright 2013 Bob Colbert * Copyright 2013-2018 Evan Miller * * This file is part of libxls -- A multiplatform, C/C++ library for parsing * Excel(TM) files. * * Redistribution and use in source and binary forms, with or without * modification, are permitted provided that the following conditions are met: * * 1. Redistributions of source code must retain the above copyright notice, * this list of conditions and the following disclaimer. * * 2. Redistributions in binary form must reproduce the above copyright * notice, this list of conditions and the following disclaimer in the * documentation and/or other materials provided with the distribution. * * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS ''AS * IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, * THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR * PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDERS OR * CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, * EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, * PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; * OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, * WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR * OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * */ #ifndef XLS_TYPES_INC #define XLS_TYPES_INC /* Mask illegal functions for CMD check */ /* an analysis of header file includes shows that doing this here covers everything */ #include "cran.h" #include #include typedef unsigned char BYTE; typedef uint16_t WORD; typedef uint32_t DWORD; #ifdef _WIN32 typedef unsigned __int64 unsigned64_t; #else typedef uint64_t unsigned64_t; #endif #endif readxl/src/libxls/ole.h0000644000176200001440000001106414757464022014562 0ustar liggesusers/* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * Copyright 2004 Komarov Valery * Copyright 2006 Christophe Leitienne * Copyright 2008-2017 David Hoerl * Copyright 2013 Bob Colbert * Copyright 2013-2018 Evan Miller * * This file is part of libxls -- A multiplatform, C/C++ library for parsing * Excel(TM) files. * * Redistribution and use in source and binary forms, with or without * modification, are permitted provided that the following conditions are met: * * 1. Redistributions of source code must retain the above copyright notice, * this list of conditions and the following disclaimer. * * 2. Redistributions in binary form must reproduce the above copyright * notice, this list of conditions and the following disclaimer in the * documentation and/or other materials provided with the distribution. * * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS ''AS * IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, * THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR * PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDERS OR * CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, * EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, * PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; * OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, * WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR * OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * */ #ifndef OLE_INCLUDE #define OLE_INCLUDE #ifdef _MSC_VER #include typedef SSIZE_T ssize_t; #endif #include // FILE * #include "libxls/xlstypes.h" #if defined(_AIX) || defined(__sun) #pragma pack(1) #else #pragma pack(push, 1) #endif typedef struct TIME_T { DWORD LowDate; DWORD HighDate; } TIME_T; typedef struct OLE2Header { DWORD id[2]; //D0CF11E0 A1B11AE1 DWORD clid[4]; WORD verminor; //0x3e WORD verdll; //0x03 WORD byteorder; WORD lsectorB; WORD lssectorB; WORD reserved1; DWORD reserved2; DWORD reserved3; DWORD cfat; // count full sectors DWORD dirstart; DWORD reserved4; DWORD sectorcutoff; // min size of a standard stream ; if less than this then it uses short-streams DWORD sfatstart; // first short-sector or EOC DWORD csfat; // count short sectors DWORD difstart; // first sector master sector table or EOC DWORD cdif; // total count DWORD MSAT[109]; // First 109 MSAT } OLE2Header; #pragma pack(pop) //----------------------------------------------------------------------------------- typedef struct st_olefiles { long count; struct st_olefiles_data { char* name; DWORD start; DWORD size; } * file; } st_olefiles; typedef struct OLE2 { FILE* file; const void *buffer; size_t buffer_len; size_t buffer_pos; WORD lsector; WORD lssector; DWORD cfat; DWORD dirstart; DWORD sectorcutoff; DWORD sfatstart; DWORD csfat; DWORD difstart; DWORD cdif; DWORD* SecID; // regular sector data DWORD SecIDCount; DWORD* SSecID; // short sector data DWORD SSecIDCount; BYTE* SSAT; // directory of short sectors DWORD SSATCount; st_olefiles files; } OLE2; typedef struct OLE2Stream { OLE2* ole; DWORD start; size_t pos; size_t cfat; size_t size; size_t fatpos; BYTE* buf; DWORD bufsize; BYTE eof; BYTE sfat; // short } OLE2Stream; #if defined(_AIX) || defined(__sun) #pragma pack(1) #else #pragma pack(push, 1) #endif typedef struct PSS { char name[64]; WORD bsize; BYTE type; //STGTY #define PS_EMPTY 00 #define PS_USER_STORAGE 01 #define PS_USER_STREAM 02 #define PS_USER_ROOT 05 BYTE flag; //COLOR #define BLACK 1 DWORD left; DWORD right; DWORD child; WORD guid[8]; DWORD userflags; TIME_T time[2]; DWORD sstart; DWORD size; DWORD proptype; } PSS; #pragma pack(pop) ssize_t ole2_read(void* buf,size_t size,size_t count,OLE2Stream* olest); OLE2Stream* ole2_sopen(OLE2* ole,DWORD start, size_t size); int ole2_seek(OLE2Stream* olest,DWORD ofs); OLE2Stream* ole2_fopen(OLE2* ole, const char *file); void ole2_fclose(OLE2Stream* ole2st); OLE2* ole2_open_file(const char *file); OLE2* ole2_open_buffer(const void *buffer, size_t len); void ole2_close(OLE2* ole2); #endif readxl/src/libxls/endian.h0000644000176200001440000000453714752737653015260 0ustar liggesusers/* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * Copyright 2013 Bob Colbert * * This file is part of libxls -- A multiplatform, C/C++ library for parsing * Excel(TM) files. * * Redistribution and use in source and binary forms, with or without * modification, are permitted provided that the following conditions are met: * * 1. Redistributions of source code must retain the above copyright notice, * this list of conditions and the following disclaimer. * * 2. Redistributions in binary form must reproduce the above copyright * notice, this list of conditions and the following disclaimer in the * documentation and/or other materials provided with the distribution. * * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS ''AS * IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, * THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR * PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDERS OR * CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, * EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, * PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; * OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, * WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR * OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * */ #include "libxls/xlsstruct.h" int xls_is_bigendian(void); DWORD xlsIntVal (DWORD i); unsigned short xlsShortVal (short s); void xlsConvertHeader(OLE2Header *h); void xlsConvertPss(PSS* pss); void xlsConvertDouble(BYTE *d); void xlsConvertBof(BOF *b); void xlsConvertBiff(BIFF *b); void xlsConvertWindow(WIND1 *w); void xlsConvertSst(SST *s); void xlsConvertXf5(XF5 *x); void xlsConvertXf8(XF8 *x); void xlsConvertFont(FONT *f); void xlsConvertFormat(FORMAT *f); void xlsConvertBoundsheet(BOUNDSHEET *b); void xlsConvertColinfo(COLINFO *c); void xlsConvertRow(ROW *r); void xlsConvertMergedcells(MERGEDCELLS *m); void xlsConvertCol(COL *c); void xlsConvertFormula(FORMULA *f); void xlsConvertFormulaArray(FARRAY *f); void xlsConvertHeader(OLE2Header *h); void xlsConvertPss(PSS* pss); #define W_ENDIAN(a) a=xlsShortVal(a) #define D_ENDIAN(a) a=xlsIntVal(a) readxl/src/libxls/xlsstruct.h0000644000176200001440000002446414752740203016057 0ustar liggesusers/* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * Copyright 2004 Komarov Valery * Copyright 2006 Christophe Leitienne * Copyright 2008-2017 David Hoerl * Copyright 2013 Bob Colbert * Copyright 2013-2018 Evan Miller * * This file is part of libxls -- A multiplatform, C/C++ library for parsing * Excel(TM) files. * * Redistribution and use in source and binary forms, with or without * modification, are permitted provided that the following conditions are met: * * 1. Redistributions of source code must retain the above copyright notice, * this list of conditions and the following disclaimer. * * 2. Redistributions in binary form must reproduce the above copyright * notice, this list of conditions and the following disclaimer in the * documentation and/or other materials provided with the distribution. * * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS ''AS * IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, * THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR * PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDERS OR * CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, * EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, * PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; * OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, * WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR * OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * */ #ifndef XLS_STRUCT_INC #define XLS_STRUCT_INC #include "libxls/ole.h" #define XLS_RECORD_EOF 0x000A #define XLS_RECORD_DEFINEDNAME 0x0018 #define XLS_RECORD_NOTE 0x001C #define XLS_RECORD_1904 0x0022 #define XLS_RECORD_FILEPASS 0x002F #define XLS_RECORD_CONTINUE 0x003C #define XLS_RECORD_WINDOW1 0x003D #define XLS_RECORD_CODEPAGE 0x0042 #define XLS_RECORD_OBJ 0x005D #define XLS_RECORD_MERGEDCELLS 0x00E5 #define XLS_RECORD_DEFCOLWIDTH 0x0055 #define XLS_RECORD_COLINFO 0x007D #define XLS_RECORD_BOUNDSHEET 0x0085 #define XLS_RECORD_PALETTE 0x0092 #define XLS_RECORD_MULRK 0x00BD #define XLS_RECORD_MULBLANK 0x00BE #define XLS_RECORD_RSTRING 0x00D6 #define XLS_RECORD_DBCELL 0x00D7 #define XLS_RECORD_XF 0x00E0 #define XLS_RECORD_MSODRAWINGGROUP 0x00EB #define XLS_RECORD_MSODRAWING 0x00EC #define XLS_RECORD_SST 0x00FC #define XLS_RECORD_LABELSST 0x00FD #define XLS_RECORD_EXTSST 0x00FF #define XLS_RECORD_TXO 0x01B6 #define XLS_RECORD_HYPERREF 0x01B8 #define XLS_RECORD_BLANK 0x0201 #define XLS_RECORD_NUMBER 0x0203 #define XLS_RECORD_LABEL 0x0204 #define XLS_RECORD_BOOLERR 0x0205 #define XLS_RECORD_STRING 0x0207 // only follows a formula #define XLS_RECORD_ROW 0x0208 #define XLS_RECORD_INDEX 0x020B #define XLS_RECORD_ARRAY 0x0221 // Array-entered formula #define XLS_RECORD_DEFAULTROWHEIGHT 0x0225 #define XLS_RECORD_FONT 0x0031 // spec says 0x0231 but Excel expects 0x0031 #define XLS_RECORD_FONT_ALT 0x0231 #define XLS_RECORD_WINDOW2 0x023E #define XLS_RECORD_RK 0x027E #define XLS_RECORD_STYLE 0x0293 #define XLS_RECORD_FORMULA 0x0006 #define XLS_RECORD_FORMULA_ALT 0x0406 // Apple Numbers bug #define XLS_RECORD_FORMAT 0x041E #define XLS_RECORD_BOF 0x0809 #define BLANK_CELL XLS_RECORD_BLANK // compat #if defined(_AIX) || defined(__sun) #pragma pack(1) #else #pragma pack(push, 1) #endif typedef struct BOF { WORD id; WORD size; } BOF; typedef struct BIFF { WORD ver; WORD type; WORD id_make; WORD year; DWORD flags; DWORD min_ver; } BIFF; typedef struct WIND1 { WORD xWn; WORD yWn; WORD dxWn; WORD dyWn; WORD grbit; WORD itabCur; WORD itabFirst; WORD ctabSel; WORD wTabRatio; } WIND1; typedef struct BOUNDSHEET { DWORD filepos; BYTE type; BYTE visible; char name[1]; } BOUNDSHEET; typedef struct ROW { WORD index; WORD fcell; // first cell, 0-indexed WORD lcell; // last cell, 1-indexed WORD height; WORD notused; WORD notused2; //used only for BIFF3-4 WORD flags; WORD xf; } ROW; typedef struct COL { WORD row; WORD col; WORD xf; } COL; typedef struct FORMULA // BIFF8 { WORD row; WORD col; WORD xf; // next 8 bytes either a IEEE double, or encoded on a byte basis BYTE resid; BYTE resdata[5]; WORD res; WORD flags; BYTE chn[4]; // BIFF8 WORD len; BYTE value[1]; //var } FORMULA; typedef struct FARRAY // BIFF8 { WORD row1; WORD row2; BYTE col1; BYTE col2; WORD flags; BYTE chn[4]; // BIFF8 WORD len; BYTE value[1]; //var } FARRAY; typedef struct RK { WORD row; WORD col; WORD xf; DWORD value; } RK; typedef struct MULRK { WORD row; WORD col; struct { WORD xf; DWORD value; } rk[1]; //WORD last_col; } MULRK; typedef struct MULBLANK { WORD row; WORD col; WORD xf[1]; //WORD last_col; } MULBLANK; typedef struct BLANK { WORD row; WORD col; WORD xf; } BLANK; typedef struct LABEL { WORD row; WORD col; WORD xf; BYTE value[1]; // var } LABEL; typedef struct BOOLERR { WORD row; WORD col; WORD xf; BYTE value; BYTE iserror; } BOOLERR; typedef struct SST { DWORD num; DWORD numofstr; BYTE strings[1]; } SST; typedef struct XF5 { WORD font; WORD format; WORD type; WORD align; WORD color; WORD fill; WORD border; WORD linestyle; } XF5; typedef struct XF8 { WORD font; WORD format; WORD type; BYTE align; BYTE rotation; BYTE ident; BYTE usedattr; DWORD linestyle; DWORD linecolor; WORD groundcolor; } XF8; typedef struct BR_NUMBER { WORD row; WORD col; WORD xf; double value; } BR_NUMBER; typedef struct COLINFO { WORD first; WORD last; WORD width; WORD xf; WORD flags; /* There should be an unused WORD field at the end here. However, some files in * the wild report it as a BYTE, which results in a boundary-check parse error. * Since the value is ignored anyway, we'll just pretend it was never there. * * See issue https://github.com/evanmiller/libxls/issues/27 */ } COLINFO; typedef struct MERGEDCELLS { WORD rowf; WORD rowl; WORD colf; WORD coll; } MERGEDCELLS; typedef struct FONT { WORD height; WORD flag; WORD color; WORD bold; WORD escapement; BYTE underline; BYTE family; BYTE charset; BYTE notused; char name[1]; } FONT; typedef struct FORMAT { WORD index; char value[1]; } FORMAT; #pragma pack(pop) //--------------------------------------------------------- typedef struct st_sheet { DWORD count; // Count of sheets struct st_sheet_data { DWORD filepos; BYTE visibility; BYTE type; char * name; } * sheet; } st_sheet; typedef struct st_font { DWORD count; // Count of FONT's struct st_font_data { WORD height; WORD flag; WORD color; WORD bold; WORD escapement; BYTE underline; BYTE family; BYTE charset; char * name; } * font; } st_font; typedef struct st_format { DWORD count; // Count of FORMAT's struct st_format_data { WORD index; char *value; } * format; } st_format; typedef struct st_xf { DWORD count; // Count of XF // XF** xf; struct st_xf_data { WORD font; WORD format; WORD type; BYTE align; BYTE rotation; BYTE ident; BYTE usedattr; DWORD linestyle; DWORD linecolor; WORD groundcolor; } * xf; } st_xf; typedef struct st_sst { DWORD count; DWORD lastid; DWORD continued; DWORD lastln; DWORD lastrt; DWORD lastsz; struct str_sst_string { char * str; } * string; } st_sst; typedef struct st_cell { DWORD count; struct st_cell_data { WORD id; WORD row; WORD col; WORD xf; char * str; // String value; double d; int32_t l; WORD width; // Width of col WORD colspan; WORD rowspan; BYTE isHidden; // Is cell hidden } * cell; } st_cell; typedef struct st_row { // DWORD count; WORD lastcol; // numCols - 1 WORD lastrow; // numRows - 1 struct st_row_data { WORD index; WORD fcell; WORD lcell; WORD height; WORD flags; WORD xf; BYTE xfflags; st_cell cells; } * row; } st_row; typedef struct st_colinfo { DWORD count; // Count of COLINFO struct st_colinfo_data { WORD first; WORD last; WORD width; WORD xf; WORD flags; } * col; } st_colinfo; typedef struct xlsWorkBook { //FILE* file; OLE2Stream* olestr; int32_t filepos; // position in file //From Header (BIFF) BYTE is5ver; BYTE is1904; WORD type; WORD activeSheetIdx; // index of the active sheet //Other data WORD codepage; // Charset codepage char* charset; st_sheet sheets; st_sst sst; // SST table st_xf xfs; // XF table st_font fonts; st_format formats; // FORMAT table char *summary; // ole file char *docSummary; // ole file void *converter; void *utf16_converter; void *utf8_locale; } xlsWorkBook; typedef struct xlsWorkSheet { DWORD filepos; WORD defcolwidth; st_row rows; xlsWorkBook *workbook; st_colinfo colinfo; } xlsWorkSheet; #ifdef __cplusplus typedef struct st_cell::st_cell_data xlsCell; typedef struct st_row::st_row_data xlsRow; #else typedef struct st_cell_data xlsCell; typedef struct st_row_data xlsRow; #endif typedef struct xls_summaryInfo { BYTE *title; BYTE *subject; BYTE *author; BYTE *keywords; BYTE *comment; BYTE *lastAuthor; BYTE *appName; BYTE *category; BYTE *manager; BYTE *company; } xlsSummaryInfo; typedef void (*xls_formula_handler)(WORD bof, WORD len, BYTE *formula); #endif readxl/src/libxls/ole.c0000644000176200001440000006466014752740050014560 0ustar liggesusers/* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * Copyright 2004 Komarov Valery * Copyright 2006 Christophe Leitienne * Copyright 2008-2017 David Hoerl * Copyright 2013 Bob Colbert * Copyright 2013-2018 Evan Miller * * This file is part of libxls -- A multiplatform, C/C++ library for parsing * Excel(TM) files. * * Redistribution and use in source and binary forms, with or without * modification, are permitted provided that the following conditions are met: * * 1. Redistributions of source code must retain the above copyright notice, * this list of conditions and the following disclaimer. * * 2. Redistributions in binary form must reproduce the above copyright * notice, this list of conditions and the following disclaimer in the * documentation and/or other materials provided with the distribution. * * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS ''AS * IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, * THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR * PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDERS OR * CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, * EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, * PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; * OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, * WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR * OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * */ #include "config.h" #include #include #include #include #include "libxls/ole.h" #include "libxls/xlstool.h" #include "libxls/endian.h" extern int xls_debug; //#define OLE_DEBUG //static const DWORD MSATSECT = 0xFFFFFFFC; // -4 //static const DWORD FATSECT = 0xFFFFFFFD; // -3 static const DWORD ENDOFCHAIN = 0xFFFFFFFE; // -2 static const DWORD FREESECT = 0xFFFFFFFF; // -1 static size_t sector_pos(OLE2* ole2, DWORD sid); static ssize_t sector_read(OLE2* ole2, void *buffer, size_t buffer_len, DWORD sid); static ssize_t read_MSAT(OLE2* ole2, OLE2Header *oleh); static void *ole_malloc(size_t len); static void *ole_realloc(void *ptr, size_t len); static void *ole_malloc(size_t len) { if (len > (1<<24) || len == 0) { return NULL; } return malloc(len); } static void *ole_realloc(void *ptr, size_t len) { if (len > (1<<24) || len == 0) { free(ptr); return NULL; } return realloc(ptr, len); } static int ole2_validate_sector_chain(DWORD *chain, DWORD chain_count, DWORD chain_start) { DWORD count = 0; DWORD sector = chain_start; while (sector != ENDOFCHAIN) { if (sector >= chain_count) return 0; if (++count >= chain_count) return 0; sector = xlsIntVal(chain[sector]); } return 1; } static int ole2_validate_sector(DWORD sector, OLE2 *ole) { if (sector >= ole->SecIDCount) { if (xls_debug) fprintf(stderr, "Error: fatpos %d out-of-bounds for SecID[%d]\n", (int)sector, ole->SecIDCount); return 0; } if (sector == xlsIntVal(ole->SecID[sector])) { if (xls_debug) fprintf(stderr, "Error: Sector loop detected, SecID[%d] = %d\n", (int)sector, (int)sector); return 0; } return 1; } // Read next sector of stream static int ole2_bufread(OLE2Stream* olest) { BYTE *ptr; #ifdef OLE_DEBUG fprintf(stderr, "----------------------------------------------\n"); fprintf(stderr, "ole2_bufread (start)\n"); #endif if (olest == NULL || olest->ole == NULL) return -1; if ((DWORD)olest->fatpos!=ENDOFCHAIN) { if(olest->sfat) { if (olest->ole->SSAT == NULL || olest->buf == NULL || olest->ole->SSecID == NULL) return -1; if (olest->fatpos*olest->ole->lssector + olest->bufsize > olest->ole->SSATCount) { if (xls_debug) fprintf(stderr, "Error: fatpos %d out-of-bounds for SSAT\n", (int)olest->fatpos); return -1; } ptr = olest->ole->SSAT + olest->fatpos*olest->ole->lssector; memcpy(olest->buf, ptr, olest->bufsize); if (olest->fatpos >= olest->ole->SSecIDCount) { if (xls_debug) fprintf(stderr, "Error: fatpos %d out-of-bounds for SSecID[%d]\n", (int)olest->fatpos, olest->ole->SSecIDCount); return -1; } olest->fatpos=xlsIntVal(olest->ole->SSecID[olest->fatpos]); olest->pos=0; olest->cfat++; } else { if ((int)olest->fatpos < 0 || sector_read(olest->ole, olest->buf, olest->bufsize, olest->fatpos) == -1) { if (xls_debug) fprintf(stderr, "Error: Unable to read sector #%d\n", (int)olest->fatpos); return -1; } if (!ole2_validate_sector(olest->fatpos, olest->ole)) { return -1; } olest->fatpos = xlsIntVal(olest->ole->SecID[olest->fatpos]); olest->pos=0; olest->cfat++; } } #ifdef OLE_DEBUG fprintf(stderr, "----------------------------------------------\n"); fprintf(stderr, "ole2_bufread (end)\n"); #endif // else printf("ENDOFCHAIN!!!\n"); return 0; } // Read part of stream ssize_t ole2_read(void* buf, size_t size, size_t count, OLE2Stream* olest) { size_t didReadCount=0; size_t totalReadCount; totalReadCount=size*count; // olest->size inited to -1 // printf("===== ole2_read(%ld bytes)\n", totalReadCount); if ((long)olest->size>=0 && !olest->sfat) // directory is -1 { size_t rem; rem = olest->size - (olest->cfat*olest->ole->lsector+olest->pos); totalReadCount = remeof=1; // printf(" rem=%ld olest->size=%d - subfunc=%d\n", rem, olest->size, (olest->cfat*olest->ole->lsector+olest->pos) ); //printf(" totalReadCount=%d (rem=%d size*count=%ld)\n", totalReadCount, rem, size*count); } while ((!olest->eof) && (didReadCount < totalReadCount)) { unsigned long remainingBytes; size_t needToReadCount; needToReadCount = totalReadCount - didReadCount; remainingBytes = olest->bufsize - olest->pos; if (needToReadCount < remainingBytes) { // does the current sector contain all the data I need? memcpy((BYTE*)buf + didReadCount, olest->buf + olest->pos, needToReadCount); olest->pos += needToReadCount; didReadCount += needToReadCount; } else { memcpy((BYTE*)buf + didReadCount, olest->buf + olest->pos, remainingBytes); olest->pos += remainingBytes; didReadCount += remainingBytes; if (ole2_bufread(olest) == -1) return -1; } if (((DWORD)olest->fatpos == ENDOFCHAIN) && (olest->pos >= olest->bufsize)) { olest->eof=1; } } if (didReadCount > totalReadCount) return -1; // printf(" didReadCount=%ld EOF=%d\n", didReadCount, olest->eof); // printf("=====\n"); #ifdef OLE_DEBUG fprintf(stderr, "----------------------------------------------\n"); fprintf(stderr, "ole2_read (end)\n"); fprintf(stderr, "start: %d \n",olest->start); fprintf(stderr, "pos: %d \n",(int)olest->pos); fprintf(stderr, "cfat: %d \n",(int)olest->cfat); fprintf(stderr, "size: %d \n",(int)olest->size); fprintf(stderr, "fatpos: %d \n",(int)olest->fatpos); fprintf(stderr, "bufsize: %d \n",(int)olest->bufsize); fprintf(stderr, "eof: %d \n",olest->eof); #endif return didReadCount; } // Open stream in logical ole file OLE2Stream* ole2_sopen(OLE2* ole,DWORD start, size_t size) { OLE2Stream* olest=NULL; int success = 1; #ifdef OLE_DEBUG fprintf(stderr, "----------------------------------------------\n"); fprintf(stderr, "ole2_sopen start=%Xh\n", start); #endif olest = calloc(1, sizeof(OLE2Stream)); olest->ole=ole; olest->size=size; olest->fatpos=start; olest->start=start; olest->cfat=-1; if((long)size > 0 && size < (size_t)ole->sectorcutoff) { olest->bufsize=ole->lssector; olest->sfat = 1; } else { olest->bufsize=ole->lsector; } if ((olest->buf = ole_malloc(olest->bufsize)) == NULL) { success = 0; goto cleanup; } if (olest->sfat) { if (!ole2_validate_sector_chain(ole->SSecID, ole->SSecIDCount, start)) { success = 0; goto cleanup; } } else { if (!ole2_validate_sector_chain(ole->SecID, ole->SecIDCount, start)) { success = 0; goto cleanup; } } if (ole2_bufread(olest) == -1) { success = 0; goto cleanup; } cleanup: if (!success) { ole2_fclose(olest); olest = NULL; } // if(xls_debug) printf("sopen: sector=%d next=%d\n", start, olest->fatpos); return olest; } // Move in stream int ole2_seek(OLE2Stream* olest,DWORD ofs) { #ifdef OLE_DEBUG fprintf(stderr, "SEEK %x\n", ofs); #endif if(olest->sfat) { ldiv_t div_rez=ldiv(ofs,olest->ole->lssector); int i; olest->fatpos=olest->start; if (div_rez.quot!=0) { for (i=0;ifatpos >= olest->ole->SSecIDCount) return -1; olest->fatpos=xlsIntVal(olest->ole->SSecID[olest->fatpos]); } } if (ole2_bufread(olest) == -1) return -1; olest->pos=div_rez.rem; olest->eof=0; olest->cfat=div_rez.quot; //printf("%i=%i %i\n",ofs,div_rez.quot,div_rez.rem); } else { ldiv_t div_rez=ldiv(ofs,olest->ole->lsector); int i; #ifdef OLE_DEBUG fprintf(stderr, "seeking fatpos%lu start %u\n", olest->fatpos, olest->start); #endif olest->fatpos=olest->start; if (div_rez.quot!=0) { for (i=0;ifatpos, olest->ole)) return -1; olest->fatpos=xlsIntVal(olest->ole->SecID[olest->fatpos]); } } if (ole2_bufread(olest) == -1) return -1; olest->pos=div_rez.rem; olest->eof=0; olest->cfat=div_rez.quot; //printf("%i=%i %i\n",ofs,div_rez.quot,div_rez.rem); } return 0; } // Open logical file contained in physical OLE file OLE2Stream* ole2_fopen(OLE2* ole, const char *file) { int i; #ifdef OLE_DEBUG fprintf(stderr, "----------------------------------------------\n"); fprintf(stderr, "ole2_fopen %s\n", file); #endif for (i=0;ifiles.count;i++) { char *str = ole->files.file[i].name; #ifdef OLE_DEBUG fprintf(stderr, "----------------------------------------------\n"); fprintf(stderr, "ole2_fopen found %s\n", str); #endif if (str && strcmp(str,file)==0) // newer versions of Excel don't write the "Root Entry" string for the first set of data { return ole2_sopen(ole,ole->files.file[i].start,ole->files.file[i].size); } } return NULL; } static int ole2_fseek(OLE2 *ole2, size_t pos) { if (ole2->file) return fseek(ole2->file, pos, SEEK_SET); if (pos > ole2->buffer_len) return -1; ole2->buffer_pos = pos; return 0; } // Will read up to `size' bytes from the input, and pad the rest of `size' with // zeros if the input file or buffer is short. static size_t ole2_fread(OLE2 *ole2, void *buffer, size_t buffer_len, size_t size) { if (size > buffer_len) return 0; memset(buffer, 0, size); if (ole2->file) return fread(buffer, 1, size, ole2->file) > 0; if (ole2->buffer_pos >= ole2->buffer_len) return 0; if (ole2->buffer_pos + size > ole2->buffer_len) size = ole2->buffer_len - ole2->buffer_pos; memcpy(buffer, (const char *)ole2->buffer + ole2->buffer_pos, size); ole2->buffer_pos += size; return 1; } // read header and check magic numbers static ssize_t ole2_read_header(OLE2 *ole) { ssize_t bytes_read = 0, total_bytes_read = 0; OLE2Header *oleh = malloc(sizeof(OLE2Header)); if (ole2_fread(ole, oleh, sizeof(OLE2Header), sizeof(OLE2Header)) != 1) { total_bytes_read = -1; goto cleanup; } total_bytes_read += sizeof(OLE2Header); xlsConvertHeader(oleh); // make sure the file looks good. Note: this code only works on Little Endian machines if(oleh->id[0] != 0xE011CFD0 || oleh->id[1] != 0xE11AB1A1 || oleh->byteorder != 0xFFFE) { if (xls_debug) fprintf(stderr, "Not an excel file\n"); total_bytes_read = -1; goto cleanup; } //ole->lsector=(WORD)pow(2,oleh->lsector); //ole->lssector=(WORD)pow(2,oleh->lssector); ole->lsector=512; ole->lssector=64; if (oleh->lsectorB != 9 || oleh->lssectorB != 6) { // 2**9 == 512, 2**6 == 64 if (xls_debug) fprintf(stderr, "Unexpected sector size\n"); total_bytes_read = -1; goto cleanup; } ole->cfat=oleh->cfat; ole->dirstart=oleh->dirstart; ole->sectorcutoff=oleh->sectorcutoff; ole->sfatstart=oleh->sfatstart; ole->csfat=oleh->csfat; ole->difstart=oleh->difstart; ole->cdif=oleh->cdif; ole->files.count=0; #ifdef OLE_DEBUG fprintf(stderr, "==== OLE HEADER ====\n"); //printf ("Header Size: %i \n", sizeof(OLE2Header)); //printf ("id[0]-id[1]: %X-%X \n", oleh->id[0], oleh->id[1]); fprintf(stderr, "verminor: %X \n",oleh->verminor); fprintf(stderr, "verdll: %X \n",oleh->verdll); //printf ("Byte order: %X \n",oleh->byteorder); fprintf(stderr, "sect len: %X (%i)\n",ole->lsector,ole->lsector); // ole fprintf(stderr, "mini len: %X (%i)\n",ole->lssector,ole->lssector); // ole fprintf(stderr, "Fat sect.: %i \n",oleh->cfat); fprintf(stderr, "Dir Start: %i \n",oleh->dirstart); fprintf(stderr, "Mini Cutoff: %i \n",oleh->sectorcutoff); fprintf(stderr, "MiniFat Start: %X \n",oleh->sfatstart); fprintf(stderr, "Count MFat: %i \n",oleh->csfat); fprintf(stderr, "Dif start: %X \n",oleh->difstart); fprintf(stderr, "Count Dif: %i \n",oleh->cdif); fprintf(stderr, "Fat Size: %u (0x%X) \n",oleh->cfat*ole->lsector,oleh->cfat*ole->lsector); #endif // read directory entries if ((bytes_read = read_MSAT(ole, oleh)) == -1) { total_bytes_read = -1; goto cleanup; } total_bytes_read += bytes_read; cleanup: free(oleh); return total_bytes_read; } static ssize_t ole2_read_body(OLE2 *ole) { // reuse this buffer PSS *pss = NULL; OLE2Stream *olest = NULL; char* name = NULL; ssize_t bytes_read = 0, total_bytes_read = 0; if ((olest = ole2_sopen(ole,ole->dirstart, -1)) == NULL) { total_bytes_read = -1; goto cleanup; } pss = malloc(sizeof(PSS)); do { if ((bytes_read = ole2_read(pss,1,sizeof(PSS),olest)) == -1) { total_bytes_read = -1; goto cleanup; } total_bytes_read += bytes_read; xlsConvertPss(pss); if (pss->bsize > sizeof(pss->name)) { total_bytes_read = -1; goto cleanup; } name=transcode_utf16_to_utf8(pss->name, pss->bsize); #ifdef OLE_DEBUG fprintf(stderr, "OLE NAME: %s count=%d\n", name, (int)ole->files.count); #endif if (pss->type == PS_USER_ROOT || pss->type == PS_USER_STREAM) // (name!=NULL) // { #ifdef OLE_DEBUG fprintf(stderr, "OLE TYPE: %s file=%d size=%d\n", pss->type == PS_USER_ROOT ? "root" : "user", (int)ole->files.count, (int)pss->size); #endif ole->files.file = realloc(ole->files.file,(ole->files.count+1)*sizeof(struct st_olefiles_data)); ole->files.file[ole->files.count].name=name; ole->files.file[ole->files.count].start=pss->sstart; ole->files.file[ole->files.count].size=pss->size; ole->files.count++; #ifdef OLE_DEBUG fprintf(stderr, "----------------------------------------------\n"); fprintf(stderr, "name: %s (size=%d [c=%c])\n", name, pss->bsize, name ? name[0]:' '); fprintf(stderr, "bsize %i\n",pss->bsize); fprintf(stderr, "type %i\n",pss->type); fprintf(stderr, "flag %i\n",pss->flag); fprintf(stderr, "left %X\n",pss->left); fprintf(stderr, "right %X\n",pss->right); fprintf(stderr, "child %X\n",pss->child); fprintf(stderr, "guid %.4X-%.4X-%.4X-%.4X %.4X-%.4X-%.4X-%.4X\n", pss->guid[0],pss->guid[1],pss->guid[2],pss->guid[3], pss->guid[4],pss->guid[5],pss->guid[6],pss->guid[7]); fprintf(stderr, "user flag %.4X\n",pss->userflags); fprintf(stderr, "sstart %.4d\n",pss->sstart); fprintf(stderr, "size %.4d\n",pss->size); #endif if(pss->sstart == ENDOFCHAIN) { if (xls_debug) verbose("END OF CHAIN\n"); } else if(pss->type == PS_USER_STREAM) { } else if(pss->type == PS_USER_ROOT) { DWORD sector, k, blocks; BYTE *wptr; size_t bytes_left; blocks = (pss->size + (ole->lsector - 1)) / ole->lsector; // count partial #ifdef OLE_DEBUG fprintf(stderr, "OLE BLOCKS: %d = (%d + (%d - 1))/%d\n", (int)blocks, (int)pss->size, (int)ole->lsector, (int)ole->lsector); #endif if ((ole->SSAT = ole_realloc(ole->SSAT, blocks*ole->lsector)) == NULL) { total_bytes_read = -1; goto cleanup; } ole->SSATCount = blocks*ole->lsector; // printf("blocks %d\n", blocks); sector = pss->sstart; wptr = (BYTE*)ole->SSAT; bytes_left = blocks*ole->lsector; for(k=0; klsector; wptr += ole->lsector; bytes_left -= ole->lsector; sector = xlsIntVal(ole->SecID[sector]); } } } else { free(name); } } while (!olest->eof); cleanup: if (olest) ole2_fclose(olest); if (pss) free(pss); #ifdef OLE_DEBUG fprintf(stderr, "----------------------------------------------\n"); fprintf(stderr, "ole2_read_body: %d bytes\n", (int)total_bytes_read); #endif return total_bytes_read; } OLE2 *ole2_read_header_and_body(OLE2 *ole) { if (ole2_read_header(ole) == -1) { ole2_close(ole); return NULL; } if (ole2_read_body(ole) == -1) { ole2_close(ole); return NULL; } return ole; } // Open in-memory buffer OLE2 *ole2_open_buffer(const void *buffer, size_t len) { OLE2 *ole = calloc(1, sizeof(OLE2)); ole->buffer = buffer; ole->buffer_len = len; return ole2_read_header_and_body(ole); } // Open physical file OLE2* ole2_open_file(const char *file) { OLE2* ole = NULL; #ifdef OLE_DEBUG fprintf(stderr, "----------------------------------------------\n"); fprintf(stderr, "ole2_open_file %s\n", file); #endif if(xls_debug) printf("ole2_open: %s\n", file); ole = calloc(1, sizeof(OLE2)); if (!(ole->file=fopen(file, "rb"))) { if(xls_debug) fprintf(stderr, "File not found\n"); free(ole); return NULL; } return ole2_read_header_and_body(ole); } void ole2_close(OLE2* ole2) { int i; if (ole2->file) fclose(ole2->file); for(i=0; ifiles.count; ++i) { free(ole2->files.file[i].name); } free(ole2->files.file); free(ole2->SecID); free(ole2->SSecID); free(ole2->SSAT); free(ole2); } void ole2_fclose(OLE2Stream* ole2st) { free(ole2st->buf); free(ole2st); } // Return offset in bytes of a sector from its sid static size_t sector_pos(OLE2* ole2, DWORD sid) { return 512 + sid * ole2->lsector; } // Read one sector from its sid static ssize_t sector_read(OLE2* ole2, void *buffer, size_t buffer_len, DWORD sid) { size_t num; size_t seeked; if ((seeked = ole2_fseek(ole2, sector_pos(ole2, sid))) != 0) { if (xls_debug) fprintf(stderr, "Error: wanted to seek to sector %u (0x%x) loc=%u\n", sid, sid, (unsigned int)sector_pos(ole2, sid)); return -1; } if ((num = ole2_fread(ole2, buffer, buffer_len, ole2->lsector)) != 1) { if (xls_debug) fprintf(stderr, "Error: fread wanted 1 got %lu loc=%u\n", (unsigned long)num, (unsigned int)sector_pos(ole2, sid)); return -1; } return ole2->lsector; } // read first 109 sectors of MSAT from header static ssize_t read_MSAT_header(OLE2* ole2, OLE2Header* oleh, DWORD sectorCount) { BYTE *sector = (BYTE*)ole2->SecID; ssize_t bytes_read = 0, total_bytes_read = 0; size_t bytes_left = ole2->SecIDCount * sizeof(DWORD); DWORD sectorNum; for (sectorNum = 0; sectorNum < sectorCount && sectorNum < 109; sectorNum++) { if ((bytes_read = sector_read(ole2, sector, bytes_left, oleh->MSAT[sectorNum])) == -1) { if (xls_debug) fprintf(stderr, "Error: Unable to read sector #%d\n", oleh->MSAT[sectorNum]); return -1; } sector += ole2->lsector; bytes_left -= ole2->lsector; total_bytes_read += bytes_read; } return total_bytes_read; } // Add additional sectors of the MSAT static ssize_t read_MSAT_body(OLE2 *ole2, DWORD sectorOffset, DWORD sectorCount) { DWORD sid = ole2->difstart; ssize_t bytes_read = 0, total_bytes_read = 0; DWORD sectorNum = sectorOffset; DWORD *sector = ole_malloc(ole2->lsector); //printf("sid=%u (0x%x) sector=%u\n", sid, sid, ole2->lsector); while (sid != ENDOFCHAIN && sid != FREESECT) // FREESECT only here due to an actual file that requires it (old Apple Numbers bug) { int posInSector; // read MSAT sector if ((bytes_read = sector_read(ole2, sector, ole2->lsector, sid)) == -1) { total_bytes_read = -1; if (xls_debug) fprintf(stderr, "Error: Unable to read sector #%d\n", sid); goto cleanup; } total_bytes_read += bytes_read; // read content for (posInSector = 0; posInSector < (ole2->lsector-4)/4; posInSector++) { DWORD s = sector[posInSector]; //printf(" s[%d]=%d (0x%x)\n", posInSector, s, s); if (s != ENDOFCHAIN && s != FREESECT) // see patch in Bug 31. For very large files { if (sectorNum == sectorCount) { if (xls_debug) fprintf(stderr, "Error: Unable to seek to sector #%d\n", s); total_bytes_read = -1; goto cleanup; } if ((bytes_read = sector_read(ole2, (BYTE*)(ole2->SecID)+sectorNum*ole2->lsector, (ole2->SecIDCount * sizeof(DWORD) - sectorNum*ole2->lsector), s)) == -1) { if (xls_debug) fprintf(stderr, "Error: Unable to read sector #%d\n", s); total_bytes_read = -1; goto cleanup; } total_bytes_read += bytes_read; sectorNum++; } } if (sid == sector[posInSector]) { if (xls_debug) fprintf(stderr, "Error: Loop detected in sector #%d\n", sid); total_bytes_read = -1; goto cleanup; } sid = sector[posInSector]; //printf(" s[%d]=%d (0x%x)\n", posInSector, sid, sid); } #ifdef OLE_DEBUG if(xls_debug) { //printf("==== READ IN SECTORS FOR MSAT TABLE====\n"); int i; for(i=0; i<512/4; ++i) { // just the first block if(ole2->SecID[i] != FREESECT) printf("SecID[%d]=%d\n", i, ole2->SecID[i]); } } //exit(0); #endif cleanup: free(sector); return total_bytes_read; } // read in short table static ssize_t read_MSAT_trailer(OLE2 *ole2) { ssize_t total_bytes_read = 0; DWORD sector, k; BYTE *wptr; size_t bytes_left; if(ole2->sfatstart == ENDOFCHAIN) return 0; if ((ole2->SSecID = ole_malloc(ole2->csfat*(size_t)ole2->lsector)) == NULL) { return -1; } ole2->SSecIDCount = ole2->csfat*(size_t)ole2->lsector/4; sector = ole2->sfatstart; wptr=(BYTE*)ole2->SSecID; bytes_left = ole2->SSecIDCount * sizeof(DWORD); for(k=0; kcsfat; ++k) { if (sector == ENDOFCHAIN || sector_read(ole2, wptr, bytes_left, sector) == -1) { total_bytes_read = -1; goto cleanup; } if (!ole2_validate_sector(sector, ole2)) { total_bytes_read = -1; goto cleanup; } wptr += ole2->lsector; bytes_left -= ole2->lsector; total_bytes_read += ole2->lsector; sector = xlsIntVal(ole2->SecID[sector]); } #ifdef OLE_DEBUG if(xls_debug) { int i; for(i=0; icsfat; ++i) { if(ole2->SSecID[i] != FREESECT) fprintf(stderr, "SSecID[%d]=%d\n", i, ole2->SSecID[i]); } } #endif cleanup: return total_bytes_read; } // Read MSAT static ssize_t read_MSAT(OLE2* ole2, OLE2Header* oleh) { // reconstitution of the MSAT DWORD count = ole2->cfat; if(count == 0 || count > (1 << 24)) { if (xls_debug) fprintf(stderr, "Error: MSAT count %u out-of-bounds\n", count); return -1; } ssize_t total_bytes_read = 0; ssize_t bytes_read = 0; ole2->SecIDCount = count*ole2->lsector/4; if ((ole2->SecID = ole_malloc(ole2->SecIDCount * sizeof(DWORD))) == NULL) { total_bytes_read = -1; goto cleanup; } if ((bytes_read = read_MSAT_header(ole2, oleh, count)) == -1) { total_bytes_read = -1; goto cleanup; } total_bytes_read += bytes_read; if ((bytes_read = read_MSAT_body(ole2, total_bytes_read / ole2->lsector, count)) == -1) { total_bytes_read = -1; goto cleanup; } total_bytes_read += bytes_read; if ((bytes_read = read_MSAT_trailer(ole2)) == -1) { total_bytes_read = -1; goto cleanup; } total_bytes_read += bytes_read; cleanup: if (total_bytes_read == -1) { if (ole2->SecID) { free(ole2->SecID); ole2->SecID = NULL; } if (ole2->SSecID) { free(ole2->SSecID); ole2->SSecID = NULL; } } return total_bytes_read; } readxl/src/libxls/xls.h0000644000176200001440000000623114752732207014607 0ustar liggesusers/* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * Copyright 2004 Komarov Valery * Copyright 2006 Christophe Leitienne * Copyright 2008-2017 David Hoerl * Copyright 2013-2018 Evan Miller * * This file is part of libxls -- A multiplatform, C/C++ library for parsing * Excel(TM) files. * * Redistribution and use in source and binary forms, with or without * modification, are permitted provided that the following conditions are met: * * 1. Redistributions of source code must retain the above copyright notice, * this list of conditions and the following disclaimer. * * 2. Redistributions in binary form must reproduce the above copyright * notice, this list of conditions and the following disclaimer in the * documentation and/or other materials provided with the distribution. * * THIS SOFTWARE IS PROVIDED BY Evan Miller ''AS IS'' AND ANY EXPRESS OR * IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF * MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO * EVENT SHALL THE COPYRIGHT HOLDERS OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, * INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES * (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; * LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND * ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF * THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * */ #ifndef XLS_INCLUDE #define XLS_INCLUDE #ifdef __cplusplus namespace xls { extern "C" { #endif #include "libxls/xlstypes.h" #include "libxls/xlsstruct.h" #include "libxls/xlstool.h" typedef enum { LIBXLS_OK, LIBXLS_ERROR_OPEN, LIBXLS_ERROR_SEEK, LIBXLS_ERROR_READ, LIBXLS_ERROR_PARSE, LIBXLS_ERROR_MALLOC, LIBXLS_ERROR_UNSUPPORTED_ENCRYPTION, LIBXLS_ERROR_NULL_ARGUMENT } xls_error_t; const char* xls_getVersion(void); const char* xls_getError(xls_error_t code); int xls(int debug); // Set debug. Force library to load? void xls_set_formula_hander(xls_formula_handler handler); xls_error_t xls_parseWorkBook(xlsWorkBook* pWB); xls_error_t xls_parseWorkSheet(xlsWorkSheet* pWS); // Preferred API // charset - convert 16bit strings within the spread sheet to this 8-bit encoding (UTF-8 default) xlsWorkBook *xls_open_file(const char *file, const char *charset, xls_error_t *outError); xlsWorkBook *xls_open_buffer(const unsigned char *data, size_t data_len, const char *charset, xls_error_t *outError); void xls_close_WB(xlsWorkBook* pWB); // Historical API xlsWorkBook* xls_open(const char *file,const char *charset); #define xls_close xls_close_WB xlsWorkSheet * xls_getWorkSheet(xlsWorkBook* pWB,int num); void xls_close_WS(xlsWorkSheet* pWS); xlsSummaryInfo *xls_summaryInfo(xlsWorkBook* pWB); void xls_close_summaryInfo(xlsSummaryInfo *pSI); // utility function xlsRow *xls_row(xlsWorkSheet* pWS, WORD cellRow); xlsCell *xls_cell(xlsWorkSheet* pWS, WORD cellRow, WORD cellCol); #ifdef __cplusplus } // extern c block } // namespace #endif #endif readxl/src/libxls/xlstool.c0000644000176200001440000005633314753022124015477 0ustar liggesusers/* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * Copyright 2004 Komarov Valery * Copyright 2006 Christophe Leitienne * Copyright 2008-2017 David Hoerl * Copyright 2013 Bob Colbert * Copyright 2013-2018 Evan Miller * * This file is part of libxls -- A multiplatform, C/C++ library for parsing * Excel(TM) files. * * Redistribution and use in source and binary forms, with or without * modification, are permitted provided that the following conditions are met: * * 1. Redistributions of source code must retain the above copyright notice, * this list of conditions and the following disclaimer. * * 2. Redistributions in binary form must reproduce the above copyright * notice, this list of conditions and the following disclaimer in the * documentation and/or other materials provided with the distribution. * * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS ''AS * IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, * THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR * PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDERS OR * CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, * EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, * PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; * OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, * WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR * OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * */ #include "config.h" #include #include #include #ifdef HAVE_ICONV #include #endif #include #include #include #include #include //#include "xls.h" #include "libxls/xlstypes.h" #include "libxls/xlsstruct.h" #include "libxls/xlstool.h" #include "libxls/brdb.h" #include "libxls/endian.h" #include "libxls/locale.h" extern int xls_debug; /* Not a complete list */ enum xls_format_e { XLS_FORMAT_GENERAL, // "" XLS_FORMAT_NUMBER1, // "0" XLS_FORMAT_NUMBER2, // "0.00", XLS_FORMAT_NUMBER3, // "#,##0", XLS_FORMAT_NUMBER4, // "#,##0.00", XLS_FORMAT_CURRENCY1, // "\"$\"#,##0_);(\"$\"#,##0)", XLS_FORMAT_CURRENCY2, // "\"$\"#,##0_);[Red](\"$\"#,##0)", XLS_FORMAT_CURRENCY3, // "\"$\"#,##0.00_);(\"$\"#,##0.00)", XLS_FORMAT_CURRENCY4, // "\"$\"#,##0.00_);[Red](\"$\"#,##0.00)", XLS_FORMAT_PERCENT1, // "0%", XLS_FORMAT_PERCENT2, // "0.00%", XLS_FORMAT_SCIENTIFIC1, // "0.00E+00", XLS_FORMAT_SCIENTIFIC2 = 34 // "##0.0E+0" }; static const DWORD colors[] = { 0x000000, 0xFFFFFF, 0xFF0000, 0x00FF00, 0x0000FF, 0xFFFF00, 0xFF00FF, 0x00FFFF, 0x800000, 0x008000, 0x000080, 0x808000, 0x800080, 0x008080, 0xC0C0C0, 0x808080, 0x9999FF, 0x993366, 0xFFFFCC, 0xCCFFFF, 0x660066, 0xFF8080, 0x0066CC, 0xCCCCFF, 0x000080, 0xFF00FF, 0xFFFF00, 0x00FFFF, 0x800080, 0x800000, 0x008080, 0x0000FF, 0x00CCFF, 0xCCFFFF, 0xCCFFCC, 0xFFFF99, 0x99CCFF, 0xFF99CC, 0xCC99FF, 0xFFCC99, 0x3366FF, 0x33CCCC, 0x99CC00, 0xFFCC00, 0xFF9900, 0xFF6600, 0x666699, 0x969696, 0x003366, 0x339966, 0x003300, 0x333300, 0x993300, 0x993366, 0x333399, 0x333333 }; // Display string if in debug mode void verbose(char* str) { if (xls_debug) printf("libxls : %s\n",str); } #ifdef HAVE_ICONV struct codepage_entry_t { int code; const char *name; }; static struct codepage_entry_t _codepage_entries[] = { { .code = 874, .name = "WINDOWS-874" }, { .code = 932, .name = "SHIFT-JIS" }, { .code = 936, .name = "WINDOWS-936" }, { .code = 950, .name = "BIG-5" }, { .code = 951, .name = "BIG5-HKSCS" }, { .code = 1250, .name = "WINDOWS-1250" }, { .code = 1251, .name = "WINDOWS-1251" }, { .code = 1252, .name = "WINDOWS-1252" }, { .code = 1253, .name = "WINDOWS-1253" }, { .code = 1254, .name = "WINDOWS-1254" }, { .code = 1255, .name = "WINDOWS-1255" }, { .code = 1256, .name = "WINDOWS-1256" }, { .code = 1257, .name = "WINDOWS-1257" }, { .code = 1258, .name = "WINDOWS-1258" }, { .code = 10000, .name = "MACROMAN" }, { .code = 10004, .name = "MACARABIC" }, { .code = 10005, .name = "MACHEBREW" }, { .code = 10006, .name = "MACGREEK" }, { .code = 10007, .name = "MACCYRILLIC" }, { .code = 10010, .name = "MACROMANIA" }, { .code = 10017, .name = "MACUKRAINE" }, { .code = 10021, .name = "MACTHAI" }, { .code = 10029, .name = "MACCENTRALEUROPE" }, { .code = 10079, .name = "MACICELAND" }, { .code = 10081, .name = "MACTURKISH" }, { .code = 10082, .name = "MACCROATIAN" }, }; static int codepage_compare(const void *key, const void *value) { const struct codepage_entry_t *cp1 = key; const struct codepage_entry_t *cp2 = value; return cp1->code - cp2->code; } static const char *encoding_for_codepage(WORD codepage) { struct codepage_entry_t key = { .code = codepage }; struct codepage_entry_t *result = bsearch(&key, _codepage_entries, sizeof(_codepage_entries)/sizeof(_codepage_entries[0]), sizeof(_codepage_entries[0]), &codepage_compare); if (result) { return result->name; } return "WINDOWS-1252"; } static char* unicode_decode_iconv(const char *s, size_t len, iconv_t ic) { char* outbuf = 0; if(s && len && ic) { size_t outlenleft = len; int outlen = len; size_t inlenleft = len; const char* src_ptr = s; char* out_ptr = 0; size_t st; outbuf = malloc(outlen + 1); if(outbuf) { out_ptr = outbuf; while(inlenleft) { st = iconv(ic, (ICONV_CONST char **)&src_ptr, &inlenleft, (char **)&out_ptr,(size_t *) &outlenleft); if(st == (size_t)(-1)) { if(errno == E2BIG) { size_t diff = out_ptr - outbuf; outlen += inlenleft; outlenleft += inlenleft; outbuf = realloc(outbuf, outlen + 1); if(!outbuf) { break; } out_ptr = outbuf + diff; } else { free(outbuf), outbuf = NULL; break; } } } } outlen -= outlenleft; if(outbuf) { outbuf[outlen] = 0; } } return outbuf; } #endif // Convert UTF-16 to UTF-8 without iconv static char *unicode_decode_wcstombs(const char *s, size_t len, xls_locale_t locale) { // Do wcstombs conversion char *converted = NULL; int count, count2; size_t i; wchar_t *w = NULL; w = malloc((len/2+1)*sizeof(wchar_t)); for(i=0; i> 6); *out++ = (BYTE)0x80 | (c & 0x3F); } else { *out++ = c; } } *out = 0; return ret; } // Convert BIFF5 string or compressed BIFF8 string to the encoding desired // by the workbook. Returns a NUL-terminated string char* codepage_decode(const char *s, size_t len, xlsWorkBook *pWB) { if (!pWB->is5ver && strcmp(pWB->charset, "UTF-8") == 0) return transcode_latin1_to_utf8(s, len); #ifdef HAVE_ICONV if (!pWB->converter) { const char *from_encoding = pWB->is5ver ? encoding_for_codepage(pWB->codepage) : "ISO-8859-1"; iconv_t converter = iconv_open(pWB->charset, from_encoding); if (converter == (iconv_t)-1) { printf("conversion from '%s' to '%s' not available", from_encoding, pWB->charset); return NULL; } pWB->converter = (void *)converter; } return unicode_decode_iconv(s, len, pWB->converter); #else char *ret = malloc(len+1); memcpy(ret, s, len); ret[len] = 0; return ret; #endif } // Convert unicode string to UTF-8 char* transcode_utf16_to_utf8(const char *s, size_t len) { xls_locale_t locale = xls_createlocale(); char *result = unicode_decode_wcstombs(s, len, locale); xls_freelocale(locale); return result; } // Convert unicode string to the encoding desired by the workbook char* unicode_decode(const char *s, size_t len, xlsWorkBook *pWB) { #ifdef HAVE_ICONV #if defined(_AIX) || defined(__sun) const char *from_enc = "UTF-16le"; #else const char *from_enc = "UTF-16LE"; #endif if (!pWB->utf16_converter) { iconv_t converter = iconv_open(pWB->charset, from_enc); if (converter == (iconv_t)-1) { printf("conversion from '%s' to '%s' not available\n", from_enc, pWB->charset); return NULL; } pWB->utf16_converter = (void *)converter; } return unicode_decode_iconv(s, len, pWB->utf16_converter); #else if (!pWB->utf8_locale) { xls_locale_t locale = xls_createlocale(); if (locale == NULL) { printf("creation of UTF-8 locale failed\n"); return NULL; } pWB->utf8_locale = (void *)locale; } return unicode_decode_wcstombs(s, len, pWB->utf8_locale); #endif } // Read and decode string char *get_string(const char *s, size_t len, BYTE is2, xlsWorkBook* pWB) { WORD ln; DWORD ofs = 0; BYTE flag = 0; const char *str = s; char *ret = NULL; if (is2) { // length is two bytes if (ofs + 2 > len) { return NULL; } ln= ((BYTE*)str)[0] + (((BYTE*)str)[1] << 8); ofs+=2; } else { // single byte length if (ofs + 1 > len) { return NULL; } ln=*(BYTE*)str; ofs++; } if(!pWB->is5ver) { // unicode strings have a format byte before the string if (ofs + 1 > len) { return NULL; } flag=*(BYTE*)(str+ofs); ofs++; } if (flag&0x8) { // WORD rt; // rt=*(WORD*)(str+ofs); // unused ofs+=2; } if (flag&0x4) { // DWORD sz; // sz=*(DWORD*)(str+ofs); // unused ofs+=4; } if(flag & 0x1) { if (ofs + 2*ln > len) { return NULL; } ret = unicode_decode(str+ofs, ln*2, pWB); } else { if (ofs + ln > len) { return NULL; } ret = codepage_decode(str+ofs, ln, pWB); } #if 0 // debugging if(xls_debug == 100) { ofs += (flag & 0x1) ? ln*2 : ln; printf("ofs=%d ret[0]=%d\n", ofs, *ret); { unsigned char *ptr; ptr = ret; printf("%x %x %x %x %x %x %x %x\n", ptr[0], ptr[1], ptr[2], ptr[3], ptr[4], ptr[5], ptr[6], ptr[7] ); printf("%s\n", ret); } } #endif return ret; } DWORD xls_getColor(const WORD color,WORD def) { int cor=8; int size = 64 - cor; int max = size; WORD idx=color; if( idx >= cor) idx -= cor; if( idx < max ) { return colors[idx]; } else return colors[def]; } void xls_showBookInfo(xlsWorkBook* pWB) { verbose("BookInfo"); printf(" is5ver: %i\n",pWB->is5ver); printf("codepage: %i\n",pWB->codepage); printf(" type: %.4X ",pWB->type); switch (pWB->type) { case 0x5: printf("Workbook globals\n"); break; case 0x6: printf("Visual Basic module\n"); break; case 0x10: printf("Worksheet\n"); break; case 0x20: printf("Chart\n"); break; case 0x40: printf("BIFF4 Macro sheet\n"); break; case 0x100: printf("BIFF4W Workbook globals\n"); break; } printf("------------------- END BOOK INFO---------------------------\n"); } void xls_showBOF(BOF* bof) { printf("----------------------------------------------\n"); verbose("BOF"); printf(" ID: %.4Xh %s (%s)\n",bof->id,brdb[get_brbdnum(bof->id)].name,brdb[get_brbdnum(bof->id)].desc); printf(" Size: %i\n",bof->size); } #if 0 static void xls_showBOUNDSHEET(BOUNDSHEET* bsheet) { switch (bsheet->type & 0x000f) { case 0x0000: /* worksheet or dialog sheet */ verbose ("85: Worksheet or dialog sheet"); break; case 0x0001: /* Microsoft Excel 4.0 macro sheet */ verbose ("85: Microsoft Excel 4.0 macro sheet"); break; case 0x0002: /* Chart */ verbose ("85: Chart sheet"); break; case 0x0006: /* Visual Basic module */ verbose ("85: Visual Basic sheet"); break; default: break; } printf(" Pos: %Xh\n",bsheet->filepos); printf(" flags: %.4Xh\n",bsheet->type); // printf(" Name: [%i] %s\n",bsheet->len,bsheet->name); } #endif void xls_showROW(struct st_row_data* row) { verbose("ROW"); printf(" Index: %i \n",row->index); printf("First col: %i \n",row->fcell); printf(" Last col: %i \n",row->lcell); printf(" Height: %i (1/20 px)\n",row->height); printf(" Flags: %.4X \n",row->flags); printf(" xf: %i \n",row->xf); printf("----------------------------------------------\n"); } void xls_showColinfo(struct st_colinfo_data* col) { verbose("COLINFO"); printf("First col: %i \n",col->first); printf(" Last col: %i \n",col->last); printf(" Width: %i (1/256 px)\n",col->width); printf(" XF: %i \n",col->xf); printf(" Flags: %i (",col->flags); if (col->flags & 0x1) printf("hidden "); if (col->flags & 0x700) printf("outline "); if (col->flags & 0x1000) printf("collapsed "); printf(")\n"); printf("----------------------------------------------\n"); } void xls_showCell(struct st_cell_data* cell) { printf(" -----------\n"); printf(" ID: %.4Xh %s (%s)\n",cell->id, brdb[get_brbdnum(cell->id)].name, brdb[get_brbdnum(cell->id)].desc); printf(" Cell: %c:%u [%u:%u]\n",cell->col+'A',cell->row+1,cell->col,cell->row); // printf(" Cell: %u:%u\n",cell->col+1,cell->row+1); printf(" xf: %i\n",cell->xf); if(cell->id == XLS_RECORD_BLANK) { //printf("BLANK_CELL!\n"); return; } printf(" double: %f\n",cell->d); printf(" int: %d\n",cell->l); if (cell->str!=NULL) printf(" str: %s\n",cell->str); } void xls_showFont(struct st_font_data* font) { printf(" name: %s\n",font->name); printf(" height: %i\n",font->height); printf(" flag: %.4X\n",font->flag); printf(" color: %.6X\n",font->color); printf(" bold: %i\n",font->bold); printf("escapement: %i\n",font->escapement); printf(" underline: %i\n",font->underline); printf(" family: %i\n",font->family); printf(" charset: %i\n",font->charset); } #if 0 typedef struct st_format { long count; //Count of FORMAT's struct st_format_data { WORD index; char *value; } * format; } st_format; #endif void xls_showFormat(struct st_format_data* frmt) { printf(" index : %u\n", frmt->index); printf(" value: %s\n", frmt->value); } void xls_showXF(XF8* xf) { static int idx; printf(" Index: %u\n",idx++); printf(" Font: %u\n",xf->font); printf(" Format: %u\n",xf->format); printf(" Type: 0x%x\n",xf->type); printf(" Align: 0x%x\n",xf->align); printf(" Rotation: 0x%x\n",xf->rotation); printf(" Ident: 0x%x\n",xf->ident); printf(" UsedAttr: 0x%x\n",xf->usedattr); printf(" LineStyle: 0x%x\n",xf->linestyle); printf(" Linecolor: 0x%x\n",xf->linecolor); printf("GroundColor: 0x%x\n",xf->groundcolor); } char *xls_getfcell(xlsWorkBook* pWB, struct st_cell_data* cell, BYTE *label) { struct st_xf_data *xf = NULL; WORD len = 0; DWORD offset = 0; char *ret = NULL; size_t retlen = 100; if (cell->xf < pWB->xfs.count) xf=&pWB->xfs.xf[cell->xf]; switch (cell->id) { case XLS_RECORD_LABELSST: offset = label[0] + (label[1] << 8); if(!pWB->is5ver) { offset += ((DWORD)label[2] << 16); offset += ((DWORD)label[3] << 24); } if(offset < pWB->sst.count && pWB->sst.string[offset].str) { ret = strdup(pWB->sst.string[offset].str); } break; case XLS_RECORD_BLANK: case XLS_RECORD_MULBLANK: ret = strdup(""); break; case XLS_RECORD_LABEL: case XLS_RECORD_RSTRING: len = label[0] + (label[1] << 8); label += 2; if (pWB->is5ver || (*(label++) & 0x01) == 0) { ret = codepage_decode((char *)label, len, pWB); } else { ret = unicode_decode((char *)label, len*2, pWB); } break; case XLS_RECORD_RK: case XLS_RECORD_NUMBER: ret = malloc(retlen); snprintf(ret, retlen, "%lf", cell->d); break; // if( RK || MULRK || NUMBER || FORMULA) // if (cell->id==0x27e || cell->id==0x0BD || cell->id==0x203 || 6 (formula)) default: if (xf) { ret = malloc(retlen); switch (xf->format) { case XLS_FORMAT_GENERAL: case XLS_FORMAT_NUMBER1: case XLS_FORMAT_NUMBER3: snprintf(ret, retlen, "%.0lf", cell->d); break; case XLS_FORMAT_NUMBER2: case XLS_FORMAT_NUMBER4: snprintf(ret, retlen, "%.2f", cell->d); break; case XLS_FORMAT_PERCENT1: snprintf(ret, retlen, "%.0lf%%", 100 * cell->d); break; case XLS_FORMAT_PERCENT2: snprintf(ret, retlen, "%.2lf%%", 100 * cell->d); break; case XLS_FORMAT_SCIENTIFIC1: snprintf(ret, retlen, "%.2e", cell->d); break; case XLS_FORMAT_SCIENTIFIC2: snprintf(ret, retlen, "%.1e", cell->d); break; default: snprintf(ret, retlen, "%.2f", cell->d); break; } break; } } return ret; } char* xls_getCSS(xlsWorkBook* pWB) { char color[255]; char* align; char* valign; char borderleft[255]; char borderright[255]; char bordertop[255]; char borderbottom[255]; char italic[255]; char underline[255]; char bold[255]; WORD size; char fontname[255]; struct st_xf_data* xf; DWORD background; DWORD i; char *ret = malloc(65535); size_t buf_len = 4096; char *buf = malloc(buf_len); ret[0] = '\0'; for (i=0;ixfs.count;i++) { xf=&pWB->xfs.xf[i]; switch ((xf->align & 0x70)>>4) { case 0: valign=(char*)"top"; break; case 1: valign=(char*)"middle"; break; case 2: valign=(char*)"bottom"; break; // case 3: valign=(char*)"right"; break; // case 4: valign=(char*)"right"; break; default: valign=(char*)"middle"; break; } switch (xf->align & 0x07) { case 1: align=(char*)"left"; break; case 2: align=(char*)"center"; break; case 3: align=(char*)"right"; break; default: align=(char*)"left"; break; } switch (xf->linestyle & 0x0f) { case 0: snprintf(borderleft, sizeof(borderleft), "%s", ""); break; default: snprintf(borderleft, sizeof(borderleft), "border-left: 1px solid black;"); break; } switch (xf->linestyle & 0x0f0) { case 0: snprintf(borderright, sizeof(borderright), "%s", ""); break; default: snprintf(borderright, sizeof(borderright), "border-right: 1px solid black;"); break; } switch (xf->linestyle & 0x0f00) { case 0: snprintf(bordertop, sizeof(bordertop), "%s", ""); break; default: snprintf(bordertop, sizeof(bordertop), "border-top: 1px solid black;"); break; } switch (xf->linestyle & 0x0f000) { case 0: snprintf(borderbottom, sizeof(borderbottom), "%s", ""); break; default: snprintf(borderbottom, sizeof(borderbottom), "border-bottom: 1px solid Black;"); break; } if (xf->font) snprintf(color, sizeof(color), "color:#%.6X;",xls_getColor(pWB->fonts.font[xf->font-1].color,0)); else snprintf(color, sizeof(color), "%s", ""); if (xf->font && (pWB->fonts.font[xf->font-1].flag & 2)) snprintf(italic, sizeof(italic), "font-style: italic;"); else snprintf(italic, sizeof(italic), "%s", ""); if (xf->font && (pWB->fonts.font[xf->font-1].bold>400)) snprintf(bold, sizeof(bold), "font-weight: bold;"); else snprintf(bold, sizeof(bold), "%s", ""); if (xf->font && (pWB->fonts.font[xf->font-1].underline)) snprintf(underline, sizeof(underline), "text-decoration: underline;"); else snprintf(underline, sizeof(underline), "%s", ""); if (xf->font) size=pWB->fonts.font[xf->font-1].height/20; else size=10; if (xf->font) snprintf(fontname, sizeof(fontname),"%s",pWB->fonts.font[xf->font-1].name); else snprintf(fontname, sizeof(fontname),"Arial"); background=xls_getColor((WORD)(xf->groundcolor & 0x7f),1); snprintf(buf, buf_len, ".xf%i{ font-size:%ipt;font-family: \"%s\";background:#%.6X;text-align:%s;vertical-align:%s;%s%s%s%s%s%s%s%s}\n", i,size,fontname,background,align,valign,borderleft,borderright,bordertop,borderbottom,color,italic,bold,underline); strcat(ret,buf); } ret = realloc(ret, strlen(ret)+1); free(buf); return ret; } readxl/src/libxls/brdb.c.h0000644000176200001440000002430314752732207015133 0ustar liggesusers/* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * Copyright 2004 Komarov Valery * Copyright 2006 Christophe Leitienne * Copyright 2008-2017 David Hoerl * Copyright 2013 Bob Colbert * Copyright 2013-2018 Evan Miller * * This file is part of libxls -- A multiplatform, C/C++ library for parsing * Excel(TM) files. * * Redistribution and use in source and binary forms, with or without * modification, are permitted provided that the following conditions are met: * * 1. Redistributions of source code must retain the above copyright notice, * this list of conditions and the following disclaimer. * * 2. Redistributions in binary form must reproduce the above copyright * notice, this list of conditions and the following disclaimer in the * documentation and/or other materials provided with the distribution. * * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS ''AS * IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, * THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR * PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDERS OR * CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, * EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, * PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; * OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, * WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR * OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * */ { 0x00, "Unknown", ""}, { 0x06, "FORMULA", "Cell Formula" }, { 0x09, "BOF-BIFF2", "Beginning of File" }, { 0x0A, "EOF", "End of File" }, { 0x0C, "CALCCOUNT", "Iteration Count" }, { 0x0D, "CALCMODE", "Calculation Mode" }, { 0x0E, "PRECISION", "Precision" }, { 0x0F, "REFMODE", "Reference Mode" }, { 0x10, "DELTA", "Iteration Increment" }, { 0x11, "ITERATION", "Iteration Mode" }, { 0x12, "PROTECT", "Protection Flag" }, { 0x13, "PASSWORD", "Protection Password" }, { 0x14, "HEADER", "Print Header on Each Page" }, { 0x15, "FOOTER", "Print Footer on Each Page" }, { 0x16, "EXTERNCOUNT", "Number of External References" }, { 0x17, "EXTERNSHEET", "External Reference" }, { 0x18, "DEFINEDNAME", "User Defined Formulas (and others)" }, { 0x19, "?WINDOWPROTECT", " (biffview guessed)" }, { 0x1A, "VERTICALPAGEBREAKS", "Explicit Column Page Breaks" }, { 0x1B, "HORIZONTALPAGEBREAKS", "Explicit Row Page Breaks" }, { 0x1C, "NOTE", "Comment Associated with a Cell" }, { 0x1D, "SELECTION", "Current Selection" }, { 0x22, "DATEMODE", "1904 Date System" }, { 0x26, "LEFTMARGIN", "Left Margin Measurement" }, { 0x27, "RIGHTMARGIN", "Right Margin Measurement" }, { 0x28, "TOPMARGIN", "Top Margin Measurement" }, { 0x29, "BOTTOMMARGIN", "Bottom Margin Measurement" }, { 0x2A, "PRINTHEADERS", "Print Row/Column Labels" }, { 0x2B, "PRINTGRIDLINES", "Print Gridlines Flag" }, { 0x2F, "FILEPASS", "File Is Password-Protected" }, { 0x31, "FONT", "Font Description" }, { 0x3C, "CONTINUE", "Continues Long Records" }, { 0x3D, "WINDOW1", "Window Information" }, { 0x40, "BACKUP", "Save Backup Version of the File" }, { 0x41, "PANE", "Number of Panes and Their Position" }, { 0x42, "CODEPAGE", "Default Code Page" }, { 0x4D, "PLS", "Environment-Specific Print Record" }, { 0x50, "DCON", "Data Consolidation Information" }, { 0x51, "DCONREF", "Data Consolidation References" }, { 0x52, "DCONNAME", "Data Consolidation Named References" }, { 0x55, "DEFCOLWIDTH", "Default Width for Columns" }, { 0x59, "XCT", "CRN Record Count" }, { 0x5A, "CRN", "Nonresident Operands" }, { 0x5B, "FILESHARING", "File-Sharing Information" }, { 0x5C, "WRITEACCESS", "Write Access User Name" }, { 0x5D, "OBJ", "Describes a Graphic Object" }, { 0x5E, "UNCALCED", "Recalculation Status" }, { 0x5F, "SAVERECALC", "Recalculate Before Save" }, { 0x60, "TEMPLATE", "Workbook Is a Template" }, { 0x63, "OBJPROTECT", "Objects Are Protected" }, { 0x7D, "COLINFO", "Column Formatting Information" }, { 0x7F, "IMDATA", "Image Data" }, { 0x80, "GUTS", "Size of Row and Column Gutters" }, { 0x81, "WSBOOL", "Additional Workspace Information" }, { 0x82, "GRIDSET", "State Change of Gridlines Option" }, { 0x83, "HCENTER", "Center Between Horizontal Margins" }, { 0x84, "VCENTER", "Center Between Vertical Margins" }, { 0x85, "BOUNDSHEET", "Sheet Information" }, { 0x86, "WRITEPROT", "Workbook Is Write-Protected" }, { 0x87, "ADDIN", "Workbook Is an Add-in Macro" }, { 0x88, "EDG", "Edition Globals" }, { 0x89, "PUB", "Publisher" }, { 0x8C, "COUNTRY", "Default Country and WIN.INI Country" }, { 0x8D, "HIDEOBJ", "Object Display Options" }, { 0x90, "SORT", "Sorting Options" }, { 0x91, "SUB", "Subscriber" }, { 0x92, "PALETTE", "Color Palette Definition" }, { 0x94, "LHRECORD", ".WK? File Conversion Information" }, { 0x95, "LHNGRAPH", "Named Graph Information" }, { 0x96, "SOUND", "Sound Note" }, { 0x99, "STANDARDWIDTH", "Standard Column Width" }, { 0x98, "LPR", "Sheet Was Printed Using LINE.PRINT" }, { 0x9A, "FNGROUPNAME", "Function Group Name" }, { 0x9B, "FILTERMODE", "Sheet Contains Filtered List" }, { 0x9C, "FNGROUPCOUNT", "Built-in Function Group Count" }, { 0x9D, "AUTOFILTERINFO", "Drop-Down Arrow Count" }, { 0x9E, "AUTOFILTER", "AutoFilter Data" }, { 0xA0, "SCL", "Window Zoom Magnification" }, { 0xA1, "SETUP", "Page Setup" }, { 0xA9, "COORDLIST", "Polygon Object Vertex Coordinates" }, { 0xAB, "GCW", "Global Column-Width Flags" }, { 0xAE, "SCENMAN", "Scenario Output Data" }, { 0xAF, "SCENARIO", "Scenario Data" }, { 0xB0, "SXVIEW", "View Definition" }, { 0xB1, "SXVD", "View Fields" }, { 0xB2, "SXVI", "View Item" }, { 0xB4, "SXIVD", "Row/Column Field IDs" }, { 0xB5, "SXLI", "Line Item Array" }, { 0xB6, "SXPI", "Page Item" }, { 0xB8, "DOCROUTE", "Routing Slip Information" }, { 0xB9, "RECIPNAME", "Recipient Name" }, { 0xBC, "SHRFMLA", "Shared Formula" }, { 0xBD, "MULRK", "Multiple RK Cells" }, { 0xBE, "MULBLANK", "Multiple Blank Cells" }, { 0xC1, "MMS", "ADDMENU/DELMENU Record Group Count" }, { 0xC2, "ADDMENU", "Menu Addition" }, { 0xC3, "DELMENU", "Menu Deletion" }, { 0xC5, "SXDI", "Data Item" }, { 0xC6, "SXDB", "PivotTable Cache Data" }, { 0xCD, "SXSTRING", "String" }, { 0xD0, "SXTBL", "Multiple Consolidation Source Info" }, { 0xD1, "SXTBRGIITM", "Page Item Name Count" }, { 0xD2, "SXTBPG", "Page Item Indexes" }, { 0xD3, "OBPROJ", "Visual Basic Project" }, { 0xD5, "SXIDSTM", "Stream ID" }, { 0xD6, "RSTRING", "Cell with Character Formatting" }, { 0xD7, "DBCELL", "Stream Offsets" }, { 0xDA, "BOOKBOOL", "Workbook Option Flag" }, { 0xDC, "PARAMQRY-SXEXT", "Query Parameters-External Source Information" }, { 0xDD, "SCENPROTECT", "Scenario Protection" }, { 0xDE, "OLESIZE", "Size of OLE Object" }, { 0xDF, "UDDESC", "Description String for Chart Autoformat" }, { 0xE0, "XF", "Extended Format" }, { 0xE1, "INTERFACEHDR", "Beginning of User Interface Records" }, { 0xE2, "INTERFACEEND", "End of User Interface Records" }, { 0xE3, "SXVS", "View Source" }, { 0xE5, "CSPAN", "Cells span" }, { 0xEA, "TABIDCONF", "Sheet Tab ID of Conflict History" }, { 0xEB, "MSODRAWINGGROUP", "Microsoft Office Drawing Group" }, { 0xEC, "MSODRAWING", "Microsoft Office Drawing" }, { 0xED, "MSODRAWINGSELECTION", "Microsoft Office Drawing Selection" }, { 0xEF, "PHONETIC-INFO", "Specifies the default format for phonetic strings " }, { 0xF0, "SXRULE", "PivotTable Rule Data" }, { 0xF1, "SXEX", "PivotTable View Extended Information" }, { 0xF2, "SXFILT", "PivotTable Rule Filter" }, { 0xF6, "SXNAME", "PivotTable Name" }, { 0xF7, "SXSELECT", "PivotTable Selection Information" }, { 0xF8, "SXPAIR", "PivotTable Name Pair" }, { 0xF9, "SXFMLA", "PivotTable Parsed Expression" }, { 0xFB, "SXFORMAT", "PivotTable Format Record" }, { 0xFC, "SST", "Shared String Table" }, { 0xFD, "LABELSST", "Cell Value, String Constant/SST" }, { 0xFF, "EXTSST", "Extended Shared String Table" }, { 0x100, "SXVDEX", "Extended PivotTable View Fields" }, { 0x103, "SXFORMULA", "PivotTable Formula Record" }, { 0x122, "SXDBEX", "PivotTable Cache Data" }, { 0x13D, "TABID", "Sheet Tab Index Array" }, { 0x160, "USESELFS", "Natural Language Formulas Flag" }, { 0x161, "DSF", "Double Stream File" }, { 0x162, "XL5MODIFY", "Flag for DSF" }, { 0x1A5, "FILESHARING2", "File-Sharing Information for Shared Lists" }, { 0x1A9, "USERBVIEW", "Workbook Custom View Settings" }, { 0x1AA, "USERSVIEWBEGIN", "Custom View Settings" }, { 0x1AB, "USERSVIEWEND", "End of Custom View Records" }, { 0x1AD, "QSI", "External Data Range" }, { 0x1AE, "SUPBOOK", "Supporting Workbook" }, { 0x1AF, "PROT4REV", "Shared Workbook Protection Flag" }, { 0x1B0, "CONDFMT", "Conditional Formatting Range Information" }, { 0x1B1, "CF", "Conditional Formatting Conditions" }, { 0x1B2, "DVAL", "Data Validation Information" }, { 0x1B5, "DCONBIN", "Data Consolidation Information" }, { 0x1B6, "TXO", "Text Object" }, { 0x1B7, "REFRESHALL", "Refresh Flag" }, { 0x1B8, "HLINK", "Hyperlink" }, { 0x1BA, "CODENAME", "Name of a workbook object," }, { 0x1BB, "SXFDBTYPE", "SQL Datatype Identifier" }, { 0x1BC, "PROT4REVPASS", "Shared Workbook Protection Password" }, { 0x1BE, "DV", "Data Validation Criteria" }, { 0x1C1, "RECALC_ID", "identifier of the recalculation engine" }, { 0x200, "DIMENSIONS", "Cell Table Size" }, { 0x201, "BLANK", "Cell Value, Blank Cell" }, { 0x203, "NUMBER", "Cell Value, Floating-Point Number" }, { 0x204, "LABEL", "Cell Value, String Constant" }, { 0x205, "BOOLERR", "Cell Value, Boolean or Error" }, { 0x207, "STRING", "String Value of a Formula" }, { 0x208, "ROW", "Describes a Row" }, { 0x209, "BOF-BIFF3", "Beginning of File" }, { 0x20B, "INDEX", "Index Record" }, { 0x218, "NAME", "Defined Name" }, { 0x221, "ARRAY", "Array-Entered Formula" }, { 0x223, "EXTERNNAME", "Externally Referenced Name" }, { 0x225, "DEFAULTROWHEIGHT", "Default Row Height" }, { 0x236, "TABLE", "Data Table" }, { 0x23E, "WINDOW2", "Sheet Window Information" }, { 0x27E, "RK", "Cell Value, RK Number" }, { 0x293, "STYLE", "Style Information" }, { 0x409, "BOF-BIFF4", "Beginning of File" }, { 0x41E, "FORMAT", "Number Format" }, { 0x4BC, "?FORMULA-RELATED=?(BC=SHRFMLA))", "Formula related, always before there are 0x06 (FORMULA)" }, { 0x809, "BOF-BIFF5/7/8", "Beginning of File" }, { 0x863, "BOOKEXT", "Specifies properties of a workbook file." }, { 0xFFF, "", "" }, readxl/src/libxls/brdb.h0000644000176200001440000000406114752737610014714 0ustar liggesusers/* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * Copyright 2004 Komarov Valery * Copyright 2006 Christophe Leitienne * Copyright 2008-2017 David Hoerl * Copyright 2013 Bob Colbert * Copyright 2013-2018 Evan Miller * * This file is part of libxls -- A multiplatform, C/C++ library for parsing * Excel(TM) files. * * Redistribution and use in source and binary forms, with or without * modification, are permitted provided that the following conditions are met: * * 1. Redistributions of source code must retain the above copyright notice, * this list of conditions and the following disclaimer. * * 2. Redistributions in binary form must reproduce the above copyright * notice, this list of conditions and the following disclaimer in the * documentation and/or other materials provided with the distribution. * * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS ''AS * IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, * THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR * PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDERS OR * CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, * EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, * PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; * OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, * WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR * OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * */ struct str_brdb { WORD opcode; char * name; /* printable name */ char * desc; /* printable description */ }; typedef struct str_brdb record_brdb; record_brdb brdb[] = { #include "libxls/brdb.c.h" }; static int get_brbdnum(int id) { int i; i=0; do { if (brdb[i].opcode==id) return i; i++; } while (brdb[i].opcode!=0xFFF); return 0; } readxl/src/libxls/xls.c0000644000176200001440000014777614753022124014615 0ustar liggesusers/* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * Copyright 2004 Komarov Valery * Copyright 2006 Christophe Leitienne * Copyright 2008-2017 David Hoerl * Copyright 2013 Bob Colbert * Copyright 2013-2018 Evan Miller * * This file is part of libxls -- A multiplatform, C/C++ library for parsing * Excel(TM) files. * * Redistribution and use in source and binary forms, with or without * modification, are permitted provided that the following conditions are met: * * 1. Redistributions of source code must retain the above copyright notice, * this list of conditions and the following disclaimer. * * 2. Redistributions in binary form must reproduce the above copyright * notice, this list of conditions and the following disclaimer in the * documentation and/or other materials provided with the distribution. * * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS ''AS * IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, * THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR * PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDERS OR * CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, * EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, * PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; * OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, * WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR * OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * */ #include "config.h" #include #include #include #include #ifdef HAVE_ICONV #include #endif #include #include #include #include #include "libxls/endian.h" #include "libxls/locale.h" #include "libxls/xls.h" #ifndef min #define min(a,b) ((a) < (b) ? (a) : (b)) #endif //#define DEBUG_DRAWINGS int xls_debug = 0; static double NumFromRk(DWORD drk); static xls_formula_handler formula_handler; static xls_error_t xls_addSST(xlsWorkBook* pWB, SST* sst, DWORD size); static xls_error_t xls_appendSST(xlsWorkBook* pWB, BYTE* buf, DWORD size); static xls_error_t xls_addFormat(xlsWorkBook* pWB, FORMAT* format, DWORD size); static xls_error_t xls_addSheet(xlsWorkBook* pWB, BOUNDSHEET* bs, DWORD size); static xls_error_t xls_addRow(xlsWorkSheet* pWS,ROW* row); static xls_error_t xls_makeTable(xlsWorkSheet* pWS); static struct st_cell_data *xls_addCell(xlsWorkSheet* pWS, BOF* bof, BYTE* buf); static char *xls_addFont(xlsWorkBook* pWB, FONT* font, DWORD size); static xls_error_t xls_addXF8(xlsWorkBook* pWB, XF8* xf); static xls_error_t xls_addXF5(xlsWorkBook* pWB, XF5* xf); static xls_error_t xls_addColinfo(xlsWorkSheet* pWS, COLINFO* colinfo); static xls_error_t xls_mergedCells(xlsWorkSheet* pWS, BOF* bof, BYTE* buf); static xls_error_t xls_preparseWorkSheet(xlsWorkSheet* pWS); static xls_error_t xls_formatColumn(xlsWorkSheet* pWS); static void xls_dumpSummary(char *buf, int isSummary, xlsSummaryInfo *pSI); #if defined(_AIX) || defined(__sun) #pragma pack(1) #else #pragma pack(push, 1) #endif typedef struct { uint32_t format[4]; uint32_t offset; } sectionList; typedef struct { uint16_t sig; uint16_t _empty; uint32_t os; uint32_t format[4]; uint32_t count; sectionList secList[1]; } header; typedef struct { uint32_t propertyID; uint32_t sectionOffset; } propertyList; typedef struct { uint32_t length; uint32_t numProperties; propertyList properties[1]; } sectionHeader; typedef struct { uint32_t propertyID; uint32_t data[1]; } property; #pragma pack(pop) int xls(int debug) { xls_debug = debug; return 1; } static xls_error_t xls_addSST(xlsWorkBook* pWB,SST* sst,DWORD size) { verbose("xls_addSST"); pWB->sst.continued=0; pWB->sst.lastln=0; pWB->sst.lastid=0; pWB->sst.lastrt=0; pWB->sst.lastsz=0; if (sst->num > (1<<26)) // 64 MB return LIBXLS_ERROR_MALLOC; if (pWB->sst.string) return LIBXLS_ERROR_PARSE; if ((pWB->sst.string = calloc(pWB->sst.count = sst->num, sizeof(struct str_sst_string))) == NULL) return LIBXLS_ERROR_MALLOC; return xls_appendSST(pWB, sst->strings, size - offsetof(SST, strings)); } static xls_error_t xls_appendSST(xlsWorkBook* pWB, BYTE* buf, DWORD size) { DWORD ln; // String character count DWORD ofs; // Current offset in SST buffer DWORD rt; // Count of rich text formatting runs DWORD sz; // Size of asian phonetic settings block BYTE flag; // String flags char* ret = NULL; if (xls_debug) { printf("xls_appendSST %u\n", size); } sz = rt = ln = 0; // kch ofs=0; while(ofssst.continued) { ln=pWB->sst.lastln; rt=pWB->sst.lastrt; sz=pWB->sst.lastsz; } else { if (ofs + 2 > size) { return LIBXLS_ERROR_PARSE; } ln = buf[ofs+0] + (buf[ofs+1] << 8); rt = 0; sz = 0; ofs+=2; } if (xls_debug) { printf("ln=%u\n", ln); } // Read flags if ( !pWB->sst.continued || (pWB->sst.continued && ln != 0) ) { if (ofs + sizeof(BYTE) > size) { return LIBXLS_ERROR_PARSE; } flag=*(BYTE *)(buf+ofs); ofs++; // Count of rich text formatting runs if (flag & 0x8) { if (ofs + sizeof(WORD) > size) { return LIBXLS_ERROR_PARSE; } rt = buf[ofs+0] + (buf[ofs+1] << 8); ofs+=2; } // Size of asian phonetic settings block if (flag & 0x4) { if (ofs + sizeof(DWORD) > size) { return LIBXLS_ERROR_PARSE; } sz = buf[ofs+0] + (buf[ofs+1] << 8) + (buf[ofs+2] << 16) + ((DWORD)buf[ofs+3] << 24); ofs+=4; if (xls_debug) { printf("sz=%u\n", sz); } } } else { flag = 0; } // Read characters (compressed or not) ln_toread = 0; if (ln > 0) { if (flag & 0x1) { size_t new_len = 0; ln_toread = min((size-ofs)/2, ln); ret=unicode_decode((char *)buf+ofs, ln_toread*2, pWB); if (ret == NULL) { ret = strdup("*failed to decode utf16*"); } ln -= ln_toread; ofs+=ln_toread*2; if (xls_debug) { new_len = strlen(ret); printf("String16SST: %s(%lu)\n", ret, (unsigned long)new_len); } } else { ln_toread = min((size-ofs), ln); ret = codepage_decode((char *)buf+ofs, ln_toread, pWB); if (ret == NULL) { ret = strdup("*failed to decode BIFF5 string*"); } ln -= ln_toread; ofs += ln_toread; if (xls_debug) { printf("String8SST: %s(%u) \n",ret,ln); } } } else { ret = strdup(""); } if (ln_toread > 0 || !pWB->sst.continued) { // Concat string if it's a continue, or add string in table if (!pWB->sst.continued) { if (pWB->sst.lastid >= pWB->sst.count) { free(ret); return LIBXLS_ERROR_PARSE; } pWB->sst.lastid++; pWB->sst.string[pWB->sst.lastid-1].str=ret; } else { char *tmp = pWB->sst.string[pWB->sst.lastid-1].str; if (tmp == NULL) { free(ret); return LIBXLS_ERROR_PARSE; } tmp = realloc(tmp, strlen(tmp)+strlen(ret)+1); if (tmp == NULL) { free(ret); return LIBXLS_ERROR_MALLOC; } pWB->sst.string[pWB->sst.lastid-1].str=tmp; memcpy(tmp+strlen(tmp), ret, strlen(ret)+1); free(ret); } if (xls_debug) { printf("String %4u: %s\n", pWB->sst.lastid-1, pWB->sst.string[pWB->sst.lastid-1].str); } } else { free(ret); } // Jump list of rich text formatting runs if (ofs < size && rt > 0) { int rt_toread = min((size-ofs)/4, rt); rt -= rt_toread; ofs += rt_toread*4; } // Jump asian phonetic settings block if (ofs < size && sz > 0) { int sz_toread = min((size-ofs), sz); sz -= sz_toread; ofs += sz_toread; } pWB->sst.continued=0; } // Save current character count and count of rich text formatting runs and size of asian phonetic settings block if (ln > 0 || rt > 0 || sz > 0) { pWB->sst.continued = 1; pWB->sst.lastln = ln; pWB->sst.lastrt = rt; pWB->sst.lastsz = sz; if (xls_debug) { printf("continued: ln=%u, rt=%u, sz=%u\n", ln, rt, sz); } } return LIBXLS_OK; } static double NumFromRk(DWORD drk) { double ret; // What kind of value is this ? if (drk & 0x02) { // Integer value int tmp = (int)drk >> 2; // cast to keep it negative in < 0 ret = (double)tmp; } else { // Floating point value; unsigned64_t tmp = drk & 0xfffffffc; tmp <<= 32; memcpy(&ret, &tmp, sizeof(unsigned64_t)); } // Is value multiplied by 100 ? if (drk & 0x01) { ret /= 100.0; } return ret; } static xls_error_t xls_addSheet(xlsWorkBook* pWB, BOUNDSHEET *bs, DWORD size) { char * name; DWORD filepos; BYTE visible, type; filepos = bs->filepos; visible = bs->visible; type = bs->type; // printf("charset=%s uni=%d\n", pWB->charset, unicode); // printf("bs name %.*s\n", bs->name[0], bs->name+1); name = get_string(bs->name, size - offsetof(BOUNDSHEET, name), 0, pWB); // printf("name=%s\n", name); if(xls_debug) { printf ("xls_addSheet[0x%x]\n", type); switch (type & 0x0f) { case 0x00: /* worksheet or dialog sheet */ printf ("85: Worksheet or dialog sheet\n"); break; case 0x01: /* Microsoft Excel 4.0 macro sheet */ printf ("85: Microsoft Excel 4.0 macro sheet\n"); break; case 0x02: /* Chart */ printf ("85: Chart sheet\n"); break; case 0x06: /* Visual Basic module */ printf ("85: Visual Basic sheet\n"); break; default: printf ("???\n"); break; } printf("visible: %x\n", visible); printf(" Pos: %Xh\n",filepos); printf(" type: %.4Xh\n",type); printf(" name: %s\n", name); } pWB->sheets.sheet = realloc(pWB->sheets.sheet,(pWB->sheets.count+1)*sizeof (struct st_sheet_data)); if (pWB->sheets.sheet == NULL) { free(name); return LIBXLS_ERROR_MALLOC; } pWB->sheets.sheet[pWB->sheets.count].name=name; pWB->sheets.sheet[pWB->sheets.count].filepos=filepos; pWB->sheets.sheet[pWB->sheets.count].visibility=visible; pWB->sheets.sheet[pWB->sheets.count].type=type; pWB->sheets.count++; return LIBXLS_OK; } static xls_error_t xls_addRow(xlsWorkSheet* pWS,ROW* row) { struct st_row_data* tmp; //verbose ("xls_addRow"); if (row->index > pWS->rows.lastrow) return LIBXLS_ERROR_PARSE; tmp=&pWS->rows.row[row->index]; tmp->height=row->height; tmp->fcell=row->fcell; tmp->lcell=row->lcell; tmp->flags=row->flags; tmp->xf=row->xf&0xfff; tmp->xfflags=(row->xf >> 8)&0xf0; if(xls_debug) xls_showROW(tmp); return LIBXLS_OK; } static xls_error_t xls_makeTable(xlsWorkSheet* pWS) { DWORD i,t; struct st_row_data* tmp; verbose ("xls_makeTable"); if ((pWS->rows.row = calloc((pWS->rows.lastrow+1),sizeof(struct st_row_data))) == NULL) return LIBXLS_ERROR_MALLOC; // printf("ALLOC: rows=%d cols=%d\n", pWS->rows.lastrow, pWS->rows.lastcol); for (t=0;t<=pWS->rows.lastrow;t++) { tmp=&pWS->rows.row[t]; tmp->index=t; tmp->fcell=0; tmp->lcell=pWS->rows.lastcol; tmp->cells.count = pWS->rows.lastcol+1; if ((tmp->cells.cell = calloc(tmp->cells.count, sizeof(struct st_cell_data))) == NULL) return LIBXLS_ERROR_MALLOC; for (i=0;i<=pWS->rows.lastcol;i++) { tmp->cells.cell[i].col = i; tmp->cells.cell[i].row = t; tmp->cells.cell[i].width = pWS->defcolwidth; tmp->cells.cell[i].id = XLS_RECORD_BLANK; } } return LIBXLS_OK; } int xls_isCellTooSmall(xlsWorkBook* pWB, BOF* bof, BYTE* buf) { if (bof->size < sizeof(COL)) return 1; if (bof->id == XLS_RECORD_FORMULA || bof->id == XLS_RECORD_FORMULA_ALT) return (bof->size < sizeof(FORMULA)); if (bof->id == XLS_RECORD_MULRK) return (bof->size < offsetof(MULRK, rk)); if (bof->id == XLS_RECORD_MULBLANK) return (bof->size < offsetof(MULBLANK, xf)); if (bof->id == XLS_RECORD_LABELSST) return (bof->size < offsetof(LABEL, value) + (pWB->is5ver ? 2 : 4)); if (bof->id == XLS_RECORD_LABEL || bof->id == XLS_RECORD_RSTRING) { if (bof->size < offsetof(LABEL, value) + 2) return 1; size_t label_len = ((LABEL*)buf)->value[0] + (((LABEL*)buf)->value[1] << 8); if (pWB->is5ver) { return (bof->size < offsetof(LABEL, value) + 2 + label_len); } if (bof->size < offsetof(LABEL, value) + 3) return 1; if ((((LABEL*)buf)->value[2] & 0x01) == 0) { return (bof->size < offsetof(LABEL, value) + 3 + label_len); } return (bof->size < offsetof(LABEL, value) + 3 + 2 * label_len); } if (bof->id == XLS_RECORD_RK) return (bof->size < sizeof(RK)); if (bof->id == XLS_RECORD_NUMBER) return (bof->size < sizeof(BR_NUMBER)); if (bof->id == XLS_RECORD_BOOLERR) return (bof->size < sizeof(BOOLERR)); return 0; } void xls_cell_set_str(struct st_cell_data *cell, char *str) { if (cell->str) { free(cell->str); } cell->str = str; } static struct st_cell_data *xls_addCell(xlsWorkSheet* pWS,BOF* bof,BYTE* buf) { struct st_cell_data* cell; struct st_row_data* row; WORD col; int i; verbose ("xls_addCell"); if (xls_isCellTooSmall(pWS->workbook, bof, buf)) return NULL; // printf("ROW: %u COL: %u\n", xlsShortVal(((COL*)buf)->row), xlsShortVal(((COL*)buf)->col)); row=&pWS->rows.row[xlsShortVal(((COL*)buf)->row)]; col = xlsShortVal(((COL*)buf)->col); if (col >= row->cells.count) { if (xls_debug) fprintf(stderr, "Error: Column index out of bounds\n"); return NULL; } cell = &row->cells.cell[col]; cell->id=bof->id; cell->xf=xlsShortVal(((COL*)buf)->xf); switch (bof->id) { case XLS_RECORD_FORMULA: case XLS_RECORD_FORMULA_ALT: xlsConvertFormula((FORMULA *)buf); cell->id=XLS_RECORD_FORMULA; if (((FORMULA*)buf)->res!=0xffff) { // if a double, then set double and clear l cell->l=0; memcpy(&cell->d, &((FORMULA*)buf)->resid, sizeof(double)); // Required for ARM cell->id = XLS_RECORD_NUMBER; // hack xls_cell_set_str(cell, xls_getfcell(pWS->workbook,cell, NULL)); cell->id = bof->id; } else { double d = ((FORMULA*)buf)->resdata[1]; cell->l = 0xFFFF; switch(((FORMULA*)buf)->resid) { case 0: // String break; // cell is half complete, get the STRING next record case 1: // Boolean memcpy(&cell->d, &d, sizeof(double)); // Required for ARM xls_cell_set_str(cell, strdup("bool")); break; case 2: // error memcpy(&cell->d, &d, sizeof(double)); // Required for ARM xls_cell_set_str(cell, strdup("error")); break; case 3: // empty string xls_cell_set_str(cell, strdup("")); break; } } if(formula_handler) formula_handler(bof->id, bof->size, buf); break; case XLS_RECORD_MULRK: for (i = 0; i < (bof->size - 6)/6; i++) // 6 == 2 row + 2 col + 2 trailing index { WORD index = col + i; if(index >= row->cells.count) { if (xls_debug) fprintf(stderr, "Error: MULTI-RK index out of bounds\n"); return NULL; } cell=&row->cells.cell[index]; cell->id=XLS_RECORD_RK; cell->xf=xlsShortVal(((MULRK*)buf)->rk[i].xf); cell->d=NumFromRk(xlsIntVal(((MULRK*)buf)->rk[i].value)); xls_cell_set_str(cell, xls_getfcell(pWS->workbook,cell, NULL)); } break; case XLS_RECORD_MULBLANK: for (i = 0; i < (bof->size - 6)/2; i++) // 6 == 2 row + 2 col + 2 trailing index { WORD index = col + i; if(index >= row->cells.count) { if (xls_debug) fprintf(stderr, "Error: MULTI-BLANK index out of bounds\n"); return NULL; } cell=&row->cells.cell[index]; cell->id=XLS_RECORD_BLANK; cell->xf=xlsShortVal(((MULBLANK*)buf)->xf[i]); xls_cell_set_str(cell, xls_getfcell(pWS->workbook,cell, NULL)); } break; case XLS_RECORD_LABELSST: case XLS_RECORD_LABEL: case XLS_RECORD_RSTRING: xls_cell_set_str(cell, xls_getfcell(pWS->workbook, cell, ((LABEL*)buf)->value)); if (cell->str) { sscanf((char *)cell->str, "%d", &cell->l); sscanf((char *)cell->str, "%lf", &cell->d); } break; case XLS_RECORD_RK: cell->d=NumFromRk(xlsIntVal(((RK*)buf)->value)); xls_cell_set_str(cell, xls_getfcell(pWS->workbook,cell, NULL)); break; case XLS_RECORD_BLANK: break; case XLS_RECORD_NUMBER: xlsConvertDouble((BYTE *)&((BR_NUMBER*)buf)->value); memcpy(&cell->d, &((BR_NUMBER*)buf)->value, sizeof(double)); // Required for ARM xls_cell_set_str(cell, xls_getfcell(pWS->workbook,cell, NULL)); break; case XLS_RECORD_BOOLERR: cell->d = ((BOOLERR *)buf)->value; if (((BOOLERR *)buf)->iserror) { xls_cell_set_str(cell, strdup("error")); } else { xls_cell_set_str(cell, strdup("bool")); } break; default: xls_cell_set_str(cell, xls_getfcell(pWS->workbook,cell, NULL)); break; } if (xls_debug) xls_showCell(cell); return cell; } static char *xls_addFont(xlsWorkBook* pWB, FONT* font, DWORD size) { struct st_font_data* tmp; verbose("xls_addFont"); pWB->fonts.font = realloc(pWB->fonts.font,(pWB->fonts.count+1)*sizeof(struct st_font_data)); if (pWB->fonts.font == NULL) return NULL; tmp=&pWB->fonts.font[pWB->fonts.count]; tmp->name = get_string(font->name, size - offsetof(FONT, name), 0, pWB); tmp->height=font->height; tmp->flag=font->flag; tmp->color=font->color; tmp->bold=font->bold; tmp->escapement=font->escapement; tmp->underline=font->underline; tmp->family=font->family; tmp->charset=font->charset; // xls_showFont(tmp); pWB->fonts.count++; return tmp->name; } static xls_error_t xls_addFormat(xlsWorkBook* pWB, FORMAT* format, DWORD size) { struct st_format_data* tmp; verbose("xls_addFormat"); pWB->formats.format = realloc(pWB->formats.format, (pWB->formats.count+1)*sizeof(struct st_format_data)); if (pWB->formats.format == NULL) return LIBXLS_ERROR_MALLOC; tmp = &pWB->formats.format[pWB->formats.count]; tmp->index = format->index; tmp->value = get_string(format->value, size - offsetof(FORMAT, value), (BYTE)!pWB->is5ver, pWB); if(xls_debug) xls_showFormat(tmp); pWB->formats.count++; return LIBXLS_OK; } static xls_error_t xls_addXF8(xlsWorkBook* pWB,XF8* xf) { struct st_xf_data* tmp; verbose("xls_addXF"); pWB->xfs.xf= realloc(pWB->xfs.xf, (pWB->xfs.count+1)*sizeof(struct st_xf_data)); if (pWB->xfs.xf == NULL) return LIBXLS_ERROR_MALLOC; tmp=&pWB->xfs.xf[pWB->xfs.count]; tmp->font=xf->font; tmp->format=xf->format; tmp->type=xf->type; tmp->align=xf->align; tmp->rotation=xf->rotation; tmp->ident=xf->ident; tmp->usedattr=xf->usedattr; tmp->linestyle=xf->linestyle; tmp->linecolor=xf->linecolor; tmp->groundcolor=xf->groundcolor; // xls_showXF(tmp); pWB->xfs.count++; return LIBXLS_OK; } static xls_error_t xls_addXF5(xlsWorkBook* pWB,XF5* xf) { struct st_xf_data* tmp; verbose("xls_addXF"); pWB->xfs.xf = realloc(pWB->xfs.xf, (pWB->xfs.count+1)*sizeof(struct st_xf_data)); if (pWB->xfs.xf == NULL) return LIBXLS_ERROR_MALLOC; tmp=&pWB->xfs.xf[pWB->xfs.count]; tmp->font=xf->font; tmp->format=xf->format; tmp->type=xf->type; tmp->align=(BYTE)xf->align; /* tmp->rotation=xf->rotation; tmp->ident=xf->ident; tmp->usedattr=xf->usedattr; tmp->linestyle=xf->linestyle; tmp->linecolor=xf->linecolor; tmp->groundcolor=xf->groundcolor; */ // xls_showXF(tmp); pWB->xfs.count++; return LIBXLS_OK; } static xls_error_t xls_addColinfo(xlsWorkSheet* pWS,COLINFO* colinfo) { struct st_colinfo_data* tmp; verbose("xls_addColinfo"); pWS->colinfo.col = realloc(pWS->colinfo.col,(pWS->colinfo.count+1)*sizeof(struct st_colinfo_data)); if (pWS->colinfo.col == NULL) return LIBXLS_ERROR_MALLOC; tmp=&pWS->colinfo.col[pWS->colinfo.count]; tmp->first=colinfo->first; tmp->last=colinfo->last; tmp->width=colinfo->width; tmp->xf=colinfo->xf; tmp->flags=colinfo->flags; if(xls_debug) xls_showColinfo(tmp); pWS->colinfo.count++; return LIBXLS_OK; } static xls_error_t xls_mergedCells(xlsWorkSheet* pWS,BOF* bof,BYTE* buf) { if (bof->size < sizeof(WORD)) return LIBXLS_ERROR_PARSE; int count = buf[0] + (buf[1] << 8); DWORD limit = sizeof(WORD)+count*sizeof(struct MERGEDCELLS); if(limit > (DWORD)bof->size) { verbose("Merged Cells Count out of range"); return LIBXLS_ERROR_PARSE; } int i,c,r; struct MERGEDCELLS *span; verbose("Merged Cells"); for (i=0;icolf,span->rowf,span->coll,span->rowl); // Sanity check: if(!( span->rowf <= span->rowl && span->rowl <= pWS->rows.lastrow && span->colf <= span->coll && span->coll <= pWS->rows.lastcol )) { return LIBXLS_ERROR_PARSE; } for (r=span->rowf;r<=span->rowl;r++) for (c=span->colf;c<=span->coll;c++) pWS->rows.row[r].cells.cell[c].isHidden=1; pWS->rows.row[span->rowf].cells.cell[span->colf].colspan=(span->coll-span->colf+1); pWS->rows.row[span->rowf].cells.cell[span->colf].rowspan=(span->rowl-span->rowf+1); pWS->rows.row[span->rowf].cells.cell[span->colf].isHidden=0; } return LIBXLS_OK; } int xls_isRecordTooSmall(xlsWorkBook *pWB, BOF *bof1, const BYTE* buf) { switch (bof1->id) { case XLS_RECORD_BOF: // BIFF5-8 return (bof1->size < 2 * sizeof(WORD)); case XLS_RECORD_CODEPAGE: return (bof1->size < sizeof(WORD)); case XLS_RECORD_WINDOW1: return (bof1->size < sizeof(WIND1)); case XLS_RECORD_SST: return (bof1->size < offsetof(SST, strings)); case XLS_RECORD_BOUNDSHEET: return (bof1->size < offsetof(BOUNDSHEET, name)); case XLS_RECORD_XF: if(pWB->is5ver) { return (bof1->size < sizeof(XF5)); } return (bof1->size < sizeof(XF8)); case XLS_RECORD_FONT: case XLS_RECORD_FONT_ALT: return (bof1->size < offsetof(FONT, name)); case XLS_RECORD_FORMAT: return (bof1->size < offsetof(FORMAT, value)); case XLS_RECORD_STYLE: { struct { unsigned short idx; unsigned char ident; unsigned char lvl; } *styl; if(bof1->size < 2) { return 1; } styl = (void *)buf; if(xlsShortVal(styl->idx) & 0x8000) { return bof1->size < 4; } else { if(bof1->size < 3) return 1; return bof1->size < 3 + styl->ident; } } case XLS_RECORD_1904: return (bof1->size < sizeof(BYTE)); default: break; } return 0; } xls_error_t xls_parseWorkBook(xlsWorkBook* pWB) { if(!pWB) return LIBXLS_ERROR_NULL_ARGUMENT; BOF bof1 = { .id = 0, .size = 0 }; BOF bof2 = { .id = 0, .size = 0 }; BYTE* buf = NULL; BYTE once = 0; xls_error_t retval = LIBXLS_OK; verbose ("xls_parseWorkBook"); do { if(xls_debug > 10) { printf("READ WORKBOOK filePos=%ld\n", (long)pWB->filepos); printf(" OLE: start=%d pos=%u size=%u fatPos=%u\n", pWB->olestr->start, (unsigned int)pWB->olestr->pos, (unsigned int)pWB->olestr->size, (unsigned int)pWB->olestr->fatpos); } if (ole2_read(&bof1, 1, 4, pWB->olestr) != 4) { retval = LIBXLS_ERROR_READ; goto cleanup; } xlsConvertBof(&bof1); if(xls_debug) xls_showBOF(&bof1); if (bof1.size) { if ((buf = realloc(buf, bof1.size)) == NULL) { if (xls_debug) fprintf(stderr, "Error: failed to allocate buffer of size %d\n", (int)bof1.size); retval = LIBXLS_ERROR_MALLOC; goto cleanup; } if (ole2_read(buf, 1, bof1.size, pWB->olestr) != bof1.size) { if (xls_debug) fprintf(stderr, "Error: failed to read OLE block\n"); retval = LIBXLS_ERROR_READ; goto cleanup; } } if (xls_isRecordTooSmall(pWB, &bof1, buf)) { retval = LIBXLS_ERROR_PARSE; goto cleanup; } switch (bof1.id) { case XLS_RECORD_EOF: //verbose("EOF"); break; case XLS_RECORD_BOF: // BIFF5-8 pWB->is5ver = (buf[0] + (buf[1] << 8) != 0x600); pWB->type = buf[2] + (buf[3] << 8); if(xls_debug) { printf("version: %s\n", pWB->is5ver ? "BIFF5" : "BIFF8" ); printf(" type: %.2X\n", pWB->type); } break; case XLS_RECORD_CODEPAGE: pWB->codepage = buf[0] + (buf[1] << 8); if(xls_debug) printf("codepage: %d\n", pWB->codepage); break; case XLS_RECORD_CONTINUE: if(once) { if (bof2.id==XLS_RECORD_SST) { if ((retval = xls_appendSST(pWB,buf,bof1.size)) != LIBXLS_OK) goto cleanup; } bof1=bof2; } break; case XLS_RECORD_WINDOW1: { WIND1 *w = (WIND1*)buf; xlsConvertWindow(w); pWB->activeSheetIdx = w->itabCur; if(xls_debug) { printf("WINDOW1: "); printf("xWn : %d\n", w->xWn/20); printf("yWn : %d\n", w->yWn/20); printf("dxWn : %d\n", w->dxWn/20); printf("dyWn : %d\n", w->dyWn/20); printf("grbit : %d\n", w->grbit); printf("itabCur: %d\n", w->itabCur); printf("itabFi : %d\n", w->itabFirst); printf("ctabSel: %d\n", w->ctabSel); printf("wTabRat: %d\n", w->wTabRatio); } } break; case XLS_RECORD_SST: //printf("ADD SST\n"); xlsConvertSst((SST *)buf); if ((retval = xls_addSST(pWB,(SST*)buf,bof1.size)) != LIBXLS_OK) { goto cleanup; } break; case XLS_RECORD_EXTSST: break; case XLS_RECORD_BOUNDSHEET: { //printf("ADD SHEET\n"); BOUNDSHEET *bs = (BOUNDSHEET *)buf; xlsConvertBoundsheet(bs); // different for BIFF5 and BIFF8 if ((retval = xls_addSheet(pWB, bs, bof1.size)) != LIBXLS_OK) { goto cleanup; } } break; case XLS_RECORD_XF: if(pWB->is5ver) { XF5 *xf; xf = (XF5 *)buf; xlsConvertXf5(xf); if ((retval = xls_addXF5(pWB,xf)) != LIBXLS_OK) { goto cleanup; } if(xls_debug) { printf(" font: %d\n", xf->font); printf(" format: %d\n", xf->format); printf(" type: %.4x\n", xf->type); printf(" align: %.4x\n", xf->align); printf("rotatio: %.4x\n", xf->color); printf(" ident: %.4x\n", xf->fill); printf("usedatt: %.4x\n", xf->border); printf("linesty: %.4x\n", xf->linestyle); } } else { XF8 *xf; xf = (XF8 *)buf; xlsConvertXf8(xf); if ((retval = xls_addXF8(pWB,xf)) != LIBXLS_OK) { goto cleanup; } if(xls_debug) { xls_showXF(xf); } } break; case XLS_RECORD_FONT: case XLS_RECORD_FONT_ALT: { char *s; FONT *f = (FONT*)buf; xlsConvertFont(f); s = xls_addFont(pWB,f, bof1.size); if(xls_debug) { printf(" height: %d\n", f->height); printf(" flag: 0x%x\n", f->flag); printf(" color: 0x%x\n", f->color); printf(" weight: %d\n", f->bold); printf("escapem: 0x%x\n", f->escapement); printf("underln: 0x%x\n", f->underline); printf(" family: 0x%x\n", f->family); printf("charset: 0x%x\n", f->charset); if(s) printf(" name: %s\n", s); } } break; case XLS_RECORD_FORMAT: xlsConvertFormat((FORMAT *)buf); if ((retval = xls_addFormat(pWB, (FORMAT*)buf, bof1.size)) != LIBXLS_OK) { goto cleanup; } break; case XLS_RECORD_STYLE: if(xls_debug) { struct { unsigned short idx; unsigned char ident; unsigned char lvl; } *styl; styl = (void *)buf; printf(" idx: 0x%x\n", styl->idx & 0x07FF); if(styl->idx & 0x8000) { printf(" ident: 0x%x\n", styl->ident); printf(" level: 0x%x\n", styl->lvl); } else { char *s = get_string((char *)&buf[2], bof1.size - 2, 1, pWB); printf(" name=%s\n", s); free(s); } } break; case XLS_RECORD_PALETTE: if(xls_debug > 10) { unsigned char *p = buf + 2; int idx, len; len = buf[0] + (buf[1] << 8); for(idx=0; idxis1904 = *(BYTE *)buf; // the field is a short, but with little endian the first byte is 0 or 1 if(xls_debug) { printf(" mode: 0x%x\n", pWB->is1904); } break; case XLS_RECORD_FILEPASS: retval = LIBXLS_ERROR_UNSUPPORTED_ENCRYPTION; goto cleanup; case XLS_RECORD_DEFINEDNAME: if(xls_debug) { int i; printf(" DEFINEDNAME: "); for(i=0; iolestr->eof)&&(bof1.id!=XLS_RECORD_EOF)); cleanup: if (buf) free(buf); return retval; } static xls_error_t xls_preparseWorkSheet(xlsWorkSheet* pWS) { if(!pWS) return LIBXLS_ERROR_NULL_ARGUMENT; BOF tmp; BYTE* buf = NULL; xls_error_t retval = LIBXLS_OK; verbose ("xls_preparseWorkSheet"); if (ole2_seek(pWS->workbook->olestr,pWS->filepos) == -1) { retval = LIBXLS_ERROR_SEEK; goto cleanup; } do { size_t read; if((read = ole2_read(&tmp, 1, 4, pWS->workbook->olestr)) != 4) { if (xls_debug) fprintf(stderr, "Error: failed to read OLE size\n"); retval = LIBXLS_ERROR_READ; goto cleanup; } xlsConvertBof(&tmp); if (tmp.size) { if ((buf = realloc(buf, tmp.size)) == NULL) { if (xls_debug) fprintf(stderr, "Error: failed to allocate buffer of size %d\n", (int)tmp.size); retval = LIBXLS_ERROR_MALLOC; goto cleanup; } if((read = ole2_read(buf, 1, tmp.size, pWS->workbook->olestr)) != tmp.size) { if (xls_debug) fprintf(stderr, "Error: failed to read OLE block\n"); retval = LIBXLS_ERROR_READ; goto cleanup; } } switch (tmp.id) { case XLS_RECORD_DEFCOLWIDTH: if (tmp.size < sizeof(WORD)) { retval = LIBXLS_ERROR_PARSE; goto cleanup; } pWS->defcolwidth = (buf[0] << 8) + (buf[1] << 16); break; case XLS_RECORD_COLINFO: if (tmp.size < sizeof(COLINFO)) { retval = LIBXLS_ERROR_PARSE; goto cleanup; } xlsConvertColinfo((COLINFO*)buf); if ((retval = xls_addColinfo(pWS,(COLINFO*)buf)) != LIBXLS_OK) goto cleanup; break; case XLS_RECORD_ROW: if (tmp.size < sizeof(ROW)) { retval = LIBXLS_ERROR_PARSE; goto cleanup; } xlsConvertRow((ROW*)buf); /* The lcell field is 1-indexed whereas lastcol is 0-indexed */ if (pWS->rows.lastcol+1<((ROW*)buf)->lcell) pWS->rows.lastcol=((ROW*)buf)->lcell-1; if (pWS->rows.lastrow<((ROW*)buf)->index) pWS->rows.lastrow=((ROW*)buf)->index; break; /* If the ROW record is incorrect or missing, infer the information from * cell data. */ case XLS_RECORD_MULRK: if (xls_isCellTooSmall(pWS->workbook, &tmp, buf)) { retval = LIBXLS_ERROR_PARSE; goto cleanup; } if (pWS->rows.lastcolcol) + (tmp.size - 6)/6 - 1) pWS->rows.lastcol=xlsShortVal(((MULRK*)buf)->col) + (tmp.size - 6)/6 - 1; if (pWS->rows.lastrowrow)) pWS->rows.lastrow=xlsShortVal(((MULRK*)buf)->row); break; case XLS_RECORD_MULBLANK: if (xls_isCellTooSmall(pWS->workbook, &tmp, buf)) { retval = LIBXLS_ERROR_PARSE; goto cleanup; } if (pWS->rows.lastcolcol) + (tmp.size - 6)/2 - 1) pWS->rows.lastcol=xlsShortVal(((MULBLANK*)buf)->col) + (tmp.size - 6)/2 - 1; if (pWS->rows.lastrowrow)) pWS->rows.lastrow=xlsShortVal(((MULBLANK*)buf)->row); break; case XLS_RECORD_NUMBER: case XLS_RECORD_RK: case XLS_RECORD_LABELSST: case XLS_RECORD_BLANK: case XLS_RECORD_LABEL: case XLS_RECORD_RSTRING: case XLS_RECORD_FORMULA: case XLS_RECORD_FORMULA_ALT: case XLS_RECORD_BOOLERR: if (xls_isCellTooSmall(pWS->workbook, &tmp, buf)) { retval = LIBXLS_ERROR_PARSE; goto cleanup; } if (pWS->rows.lastcolcol)) pWS->rows.lastcol=xlsShortVal(((COL*)buf)->col); if (pWS->rows.lastrowrow)) pWS->rows.lastrow=xlsShortVal(((COL*)buf)->row); break; } if (pWS->rows.lastcol > 255) { retval = LIBXLS_ERROR_PARSE; goto cleanup; } } while ((!pWS->workbook->olestr->eof)&&(tmp.id!=XLS_RECORD_EOF)); cleanup: if (buf) free(buf); return retval; } static xls_error_t xls_formatColumn(xlsWorkSheet* pWS) { DWORD i,t,ii; DWORD fcol,lcol; WORD width; BYTE isHidden; for (i=0;icolinfo.count;i++) { width = pWS->colinfo.col[i].width; isHidden = (pWS->colinfo.col[i].flags&1); if (pWS->colinfo.col[i].first<=pWS->rows.lastcol) fcol=pWS->colinfo.col[i].first; else fcol=pWS->rows.lastcol; if (pWS->colinfo.col[i].last<=pWS->rows.lastcol) lcol=pWS->colinfo.col[i].last; else lcol=pWS->rows.lastcol; for (ii=0;ii<=pWS->rows.lastrow;ii++) { for (t=fcol;t<=lcol;t++) { pWS->rows.row[ii].cells.cell[t].isHidden |= isHidden; pWS->rows.row[ii].cells.cell[t].width = width; } } } return LIBXLS_OK; } xls_error_t xls_parseWorkSheet(xlsWorkSheet* pWS) { if(!pWS) return LIBXLS_ERROR_NULL_ARGUMENT; BOF tmp; BYTE* buf = NULL; long offset = pWS->filepos; size_t read; xls_error_t retval = 0; struct st_cell_data *cell = NULL; xlsWorkBook *pWB = pWS->workbook; verbose ("xls_parseWorkSheet"); if ((retval = xls_preparseWorkSheet(pWS)) != LIBXLS_OK) { goto cleanup; } // printf("size=%d fatpos=%d)\n", pWS->workbook->olestr->size, pWS->workbook->olestr->fatpos); if ((retval = xls_makeTable(pWS)) != LIBXLS_OK) { goto cleanup; } if ((retval = xls_formatColumn(pWS)) != LIBXLS_OK) { goto cleanup; } if (ole2_seek(pWS->workbook->olestr,pWS->filepos) == -1) { retval = LIBXLS_ERROR_SEEK; goto cleanup; } do { long lastPos = offset; if(xls_debug > 10) { printf("LASTPOS=%ld pos=%d filePos=%d filePos=%d\n", lastPos, (int)pWB->olestr->pos, pWS->filepos, pWB->filepos); } if((read = ole2_read(&tmp, 1, 4, pWS->workbook->olestr)) != 4) { if (xls_debug) fprintf(stderr, "Error: failed to read OLE size\n"); retval = LIBXLS_ERROR_READ; goto cleanup; } xlsConvertBof((BOF *)&tmp); if (tmp.size) { if ((buf = realloc(buf, tmp.size)) == NULL) { if (xls_debug) fprintf(stderr, "Error: failed to allocate buffer of size %d\n", (int)tmp.size); retval = LIBXLS_ERROR_MALLOC; goto cleanup; } if((read = ole2_read(buf, 1, tmp.size, pWS->workbook->olestr)) != tmp.size) { if (xls_debug) fprintf(stderr, "Error: failed to read OLE block\n"); retval = LIBXLS_ERROR_READ; goto cleanup; } } offset += 4 + tmp.size; if(xls_debug) xls_showBOF(&tmp); switch (tmp.id) { case XLS_RECORD_EOF: break; case XLS_RECORD_MERGEDCELLS: if ((retval = xls_mergedCells(pWS,&tmp,buf)) != LIBXLS_OK) { goto cleanup; } break; case XLS_RECORD_ROW: if (tmp.size < sizeof(ROW)) { retval = LIBXLS_ERROR_PARSE; goto cleanup; } if(xls_debug > 10) printf("ROW: %x at pos=%ld\n", tmp.id, lastPos); xlsConvertRow((ROW *)buf); if ((retval = xls_addRow(pWS,(ROW*)buf)) != LIBXLS_OK) { goto cleanup; } break; case XLS_RECORD_DEFCOLWIDTH: if (tmp.size < sizeof(WORD)) { retval = LIBXLS_ERROR_PARSE; goto cleanup; } if(xls_debug > 10) printf("DEFAULT COL WIDTH: %d\n", ((WORD *)buf)[0]); break; case XLS_RECORD_DEFAULTROWHEIGHT: if (tmp.size < 2 * sizeof(WORD)) { retval = LIBXLS_ERROR_PARSE; goto cleanup; } if(xls_debug > 10) printf("DEFAULT ROW Height: 0x%x %d\n", ((WORD *)buf)[0], ((WORD *)buf)[1]); break; case XLS_RECORD_DBCELL: if(xls_debug > 10) { DWORD *foo = (DWORD *)buf; WORD *goo; int i; printf("DBCELL: size %d\n", tmp.size); printf("DBCELL OFFSET=%4.4u -> ROW %ld\n", foo[0], lastPos-foo[0]); ++foo; goo = (WORD *)foo; for(i=0; i<5; ++i) printf("goo[%d]=%4.4x %u\n", i, goo[i], goo[i]); } break; case XLS_RECORD_INDEX: if(xls_debug > 10) { DWORD *foo = (DWORD *)buf; int i; printf("INDEX: size %d\n", tmp.size); for(i=0; i<5; ++i) printf("FOO[%d]=%4.4x %u\n", i, foo[i], foo[i]); } #if 0 0 4 4 4 8 4 12 4 16 4∙nm Not used Index to first used row (rf, 0-based) Index to first row of unused tail of sheet (rl, last used row + 1, 0-based) Absolute stream position of the DEFCOLWIDTH record (➜5.32) of the current sheet. If this record does not exist, the offset points to the record at the position where the DEFCOLWIDTH record would occur. Array of nm absolute stream positions to the DBCELL record (➜5.29) of each Row Block #endif break; case XLS_RECORD_MULRK: case XLS_RECORD_MULBLANK: case XLS_RECORD_NUMBER: case XLS_RECORD_BOOLERR: case XLS_RECORD_RK: case XLS_RECORD_LABELSST: case XLS_RECORD_BLANK: case XLS_RECORD_LABEL: case XLS_RECORD_RSTRING: case XLS_RECORD_FORMULA: case XLS_RECORD_FORMULA_ALT: if ((cell = xls_addCell(pWS, &tmp, buf)) == NULL) { retval = LIBXLS_ERROR_PARSE; goto cleanup; } break; case XLS_RECORD_ARRAY: if(formula_handler) formula_handler(tmp.id, tmp.size, buf); break; case XLS_RECORD_STRING: if(cell && (cell->id == XLS_RECORD_FORMULA || cell->id == XLS_RECORD_FORMULA_ALT)) { xls_cell_set_str(cell, get_string((char *)buf, tmp.size, (BYTE)!pWB->is5ver, pWB)); if (xls_debug) xls_showCell(cell); } break; default: if(xls_debug) { //xls_showBOF(&tmp); if (tmp.size >= sizeof(COL)) { printf(" [%d:%d]: 0x%X at pos=%lu size=%u\n", xlsShortVal(((COL*)buf)->row), xlsShortVal(((COL*)buf)->col), tmp.id, lastPos, tmp.size); } else { printf(" 0x%X at pos=%lu size=%u\n", tmp.id, lastPos, tmp.size); } } break; } } while ((!pWS->workbook->olestr->eof)&&(tmp.id!=XLS_RECORD_EOF)); cleanup: if (buf) free(buf); return retval; } xlsWorkSheet * xls_getWorkSheet(xlsWorkBook* pWB,int num) { xlsWorkSheet * pWS = NULL; verbose ("xls_getWorkSheet"); if (num >= 0 && num < (int)pWB->sheets.count) { pWS = calloc(1, sizeof(xlsWorkSheet)); pWS->filepos=pWB->sheets.sheet[num].filepos; pWS->workbook=pWB; pWS->rows.lastcol=0; pWS->rows.lastrow=0; pWS->colinfo.count=0; } return pWS; } static xlsWorkBook *xls_open_ole(OLE2 *ole, const char *charset, xls_error_t *outError) { xlsWorkBook* pWB; xls_error_t retval = LIBXLS_OK; pWB = calloc(1, sizeof(xlsWorkBook)); verbose ("xls_open_ole"); if ((pWB->olestr=ole2_fopen(ole, "\005SummaryInformation"))) { pWB->summary = calloc(1,4096); if (ole2_read(pWB->summary, 4096, 1, pWB->olestr) == -1) { if (xls_debug) fprintf(stderr, "SummaryInformation not found\n"); retval = LIBXLS_ERROR_READ; goto cleanup; } ole2_fclose(pWB->olestr); } if ((pWB->olestr=ole2_fopen(ole, "\005DocumentSummaryInformation"))) { pWB->docSummary = calloc(1, 4096); if (ole2_read(pWB->docSummary, 4096, 1, pWB->olestr) == -1) { if (xls_debug) fprintf(stderr, "DocumentSummaryInformation not found\n"); retval = LIBXLS_ERROR_READ; goto cleanup; } ole2_fclose(pWB->olestr); } #if 0 if(xls_debug) { printf("summary=%d docsummary=%d\n", pWB->summary ? 1 : 0, pWB->docSummary ? 1 : 0); xlsSummaryInfo *si = xls_summaryInfo(pWB); printf("title=%s\n", si->title); printf("subject=%s\n", si->subject); printf("author=%s\n", si->author); printf("keywords=%s\n", si->keywords); printf("comment=%s\n", si->comment); printf("lastAuthor=%s\n", si->lastAuthor); printf("appName=%s\n", si->appName); printf("category=%s\n", si->category); printf("manager=%s\n", si->manager); printf("company=%s\n", si->company); } #endif // open Workbook if (!(pWB->olestr=ole2_fopen(ole,"Workbook")) && !(pWB->olestr=ole2_fopen(ole,"Book"))) { if(xls_debug) fprintf(stderr, "Workbook not found\n"); retval = LIBXLS_ERROR_PARSE; goto cleanup; } pWB->sheets.count=0; pWB->xfs.count=0; pWB->fonts.count=0; pWB->charset = strdup(charset ? charset : "UTF-8"); retval = xls_parseWorkBook(pWB); cleanup: if (retval != LIBXLS_OK) { if (!pWB->olestr) ole2_close(ole); xls_close_WB(pWB); pWB = NULL; } if (outError) *outError = retval; return pWB; } xlsWorkBook* xls_open(const char *file, const char* charset) { return xls_open_file(file, charset, NULL); } xlsWorkBook* xls_open_file(const char *file, const char* charset, xls_error_t *outError) { OLE2* ole = NULL; if (!(ole=ole2_open_file(file))) { if (xls_debug) fprintf(stderr, "File \"%s\" not found\n",file); if (outError) *outError = LIBXLS_ERROR_OPEN; return NULL; } return xls_open_ole(ole, charset, outError); } xlsWorkBook *xls_open_buffer(const unsigned char *buffer, size_t len, const char *charset, xls_error_t *outError) { OLE2* ole = NULL; if (!(ole=ole2_open_buffer(buffer, len))) { if (outError) *outError = LIBXLS_ERROR_OPEN; return NULL; } return xls_open_ole(ole, charset, outError); } xlsRow *xls_row(xlsWorkSheet* pWS, WORD cellRow) { if(cellRow > pWS->rows.lastrow) return NULL; if (pWS->rows.row == NULL) return NULL; return &pWS->rows.row[cellRow]; } xlsCell *xls_cell(xlsWorkSheet* pWS, WORD cellRow, WORD cellCol) { struct st_row_data *row; if ((row = xls_row(pWS, cellRow)) == NULL) return NULL; if(cellCol >= row->cells.count) return NULL; return &row->cells.cell[cellCol]; } void xls_close_WB(xlsWorkBook* pWB) { OLE2* ole; verbose ("xls_close"); if(!pWB) return; // OLE first if (pWB->olestr) { ole=pWB->olestr->ole; ole2_fclose(pWB->olestr); ole2_close(ole); } // WorkBook free(pWB->charset); // Sheets { DWORD i; for(i=0; isheets.count; ++i) { free(pWB->sheets.sheet[i].name); } free(pWB->sheets.sheet); } // SST { DWORD i; for(i=0; isst.count; ++i) { free(pWB->sst.string[i].str); } free(pWB->sst.string); } // xfs { free(pWB->xfs.xf); } // fonts { DWORD i; for(i=0; ifonts.count; ++i) { free(pWB->fonts.font[i].name); } free(pWB->fonts.font); } // formats { DWORD i; for(i=0; iformats.count; ++i) { free(pWB->formats.format[i].value); } free(pWB->formats.format); } // buffers if(pWB->summary) free(pWB->summary); if(pWB->docSummary) free(pWB->docSummary); #ifdef HAVE_ICONV if (pWB->converter) iconv_close((iconv_t)pWB->converter); if (pWB->utf16_converter) iconv_close((iconv_t)pWB->utf16_converter); #endif if (pWB->utf8_locale) xls_freelocale((xls_locale_t)pWB->utf8_locale); // TODO - free other dynamically allocated objects like string table?? free(pWB); } void xls_close_WS(xlsWorkSheet* pWS) { if(!pWS) return; if (pWS->rows.row) { DWORD i, j; for(j=0; j<=pWS->rows.lastrow; ++j) { struct st_row_data *row = &pWS->rows.row[j]; for(i=0; icells.count; ++i) { free(row->cells.cell[i].str); } free(row->cells.cell); } free(pWS->rows.row); } // COLINFO { free(pWS->colinfo.col); } free(pWS); } const char* xls_getVersion(void) { return PACKAGE_VERSION; } const char* xls_getError(xls_error_t code) { if (code == LIBXLS_OK) return "No error"; if (code == LIBXLS_ERROR_READ) return "Unable to read from file"; if (code == LIBXLS_ERROR_OPEN) return "Unable to open file"; if (code == LIBXLS_ERROR_SEEK) return "Unable to seek within file"; if (code == LIBXLS_ERROR_MALLOC) return "Unable to allocate memory"; if (code == LIBXLS_ERROR_PARSE) return "Unable to parse file"; if (code == LIBXLS_ERROR_UNSUPPORTED_ENCRYPTION) return "Unsupported encryption scheme"; return "Unknown error"; } // // http://poi.apache.org/hpsf/internals.html // or google "DocumentSummaryInformation and UserDefined Property Sets" and look for MSDN hits // xlsSummaryInfo *xls_summaryInfo(xlsWorkBook* pWB) { xlsSummaryInfo *pSI; pSI = (xlsSummaryInfo *)calloc(1, sizeof(xlsSummaryInfo)); xls_dumpSummary(pWB->summary, 1, pSI); xls_dumpSummary(pWB->docSummary, 0, pSI); return pSI; } void xls_close_summaryInfo(xlsSummaryInfo *pSI) { if(!pSI) return; if(pSI->title) free(pSI->title); if(pSI->subject) free(pSI->subject); if(pSI->author) free(pSI->author); if(pSI->keywords) free(pSI->keywords); if(pSI->comment) free(pSI->comment); if(pSI->lastAuthor) free(pSI->lastAuthor); if(pSI->appName) free(pSI->appName); if(pSI->category) free(pSI->category); if(pSI->manager) free(pSI->manager); if(pSI->company) free(pSI->company); free(pSI); } static void xls_dumpSummary(char *buf,int isSummary,xlsSummaryInfo *pSI) { header *head; sectionList *secList; propertyList *plist; sectionHeader *secHead; property *prop; uint32_t i, j; if(!buf) return; // perhaps the document was missing?? head = (header *)buf; //printf("header: \n"); //printf(" sig=%x\n", head->sig); //printf(" os=%x\n", head->os >> 16); //printf(" class=%8.8x%8.8x%8.8x%8.8x\n", head->format[0], head->format[1], head->format[2], head->format[3]); //printf(" count=%x\n", head->count); for(i=0; icount; ++i) { secList = &head->secList[i]; //printf("Section %d:\n", i); //printf(" class=%8.8x%8.8x%8.8x%8.8x\n", secList->format[0], secList->format[1], secList->format[2], secList->format[3]); //printf(" offset=%d (now at %ld\n", secList->offset, (char *)secList - (char *)buf + sizeof(sectionList)); secHead = (sectionHeader *)((char *)head + secList->offset); //printf(" len=%d\n", secHead->length); //printf(" properties=%d\n", secHead->numProperties); for(j=0; jnumProperties; ++j) { BYTE **s; plist = &secHead->properties[j]; //printf(" ---------\n"); //printf(" propID=%d offset=%d\n", plist->propertyID, plist->sectionOffset); prop = (property *)((char *)secHead + plist->sectionOffset); //printf(" propType=%d\n", prop->propertyID); switch(prop->propertyID) { case 2: //printf(" xlsShortVal=%x\n", *(uint16_t *)prop->data); break; case 3: //printf(" wordVal=%x\n", *(uint32_t *)prop->data); break; case 30: //printf(" longVal=%llx\n", *(uint64_t *)prop->data); //printf(" s[%u]=%s\n", *(uint32_t *)prop->data, (char *)prop->data + 4); if(isSummary) { switch(plist->propertyID) { case 2: s = &pSI->title; break; case 3: s = &pSI->subject; break; case 4: s = &pSI->author; break; case 5: s = &pSI->keywords; break; case 6: s = &pSI->comment; break; case 8: s = &pSI->lastAuthor; break; case 18: s = &pSI->appName; break; default: s = NULL; break; } } else { switch(plist->propertyID) { case 2: s = &pSI->category; break; case 14: s = &pSI->manager; break; case 15: s = &pSI->company; break; default: s = NULL; break; } } if(s) *s = (BYTE *)strdup((char *)prop->data + 4); break; case 64: //printf(" longVal=%llx\n", *(uint64_t *)prop->data); break; case 65: #if 0 { uint32_t k; for(k=0; k<*(uint32_t *)prop->data; ++k) { unsigned char *t = (unsigned char *)prop->data + 4 + k; printf(" %2.2x(%c)", *t, *t); } printf("\n"); } #endif break; default: //printf(" UNKNOWN!\n"); break; } } } } void xls_set_formula_hander(xls_formula_handler handler) { formula_handler = handler; } readxl/src/libxls/xlstool.h0000644000176200001440000000470314752740331015504 0ustar liggesusers/* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * Copyright 2004 Komarov Valery * Copyright 2006 Christophe Leitienne * Copyright 2008-2017 David Hoerl * Copyright 2013 Bob Colbert * Copyright 2013-2018 Evan Miller * * This file is part of libxls -- A multiplatform, C/C++ library for parsing * Excel(TM) files. * * Redistribution and use in source and binary forms, with or without * modification, are permitted provided that the following conditions are met: * * 1. Redistributions of source code must retain the above copyright notice, * this list of conditions and the following disclaimer. * * 2. Redistributions in binary form must reproduce the above copyright * notice, this list of conditions and the following disclaimer in the * documentation and/or other materials provided with the distribution. * * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS ''AS * IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, * THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR * PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDERS OR * CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, * EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, * PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; * OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, * WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR * OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * */ #include "libxls/xlsstruct.h" void verbose(char* str); char *codepage_decode(const char *s, size_t len, xlsWorkBook *pWB); char *unicode_decode(const char *s, size_t len, xlsWorkBook *pWB); char *transcode_utf16_to_utf8(const char *s, size_t len); char *get_string(const char *s, size_t len, BYTE is2, xlsWorkBook *pWB); DWORD xls_getColor(const WORD color,WORD def); void xls_showBookInfo(xlsWorkBook* pWB); void xls_showROW(struct st_row_data* row); void xls_showColinfo(struct st_colinfo_data* col); void xls_showCell(struct st_cell_data* cell); void xls_showFont(struct st_font_data* font); void xls_showXF(XF8* xf); void xls_showFormat(struct st_format_data* format); char* xls_getfcell(xlsWorkBook* pWB, struct st_cell_data* cell, BYTE *label); char* xls_getCSS(xlsWorkBook* pWB); void xls_showBOF(BOF* bof); readxl/src/libxls/locale.c0000644000176200001440000000624314752737754015252 0ustar liggesusers/* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * Copyright 2020 Evan Miller * * This file is part of libxls -- A multiplatform, C/C++ library for parsing * Excel(TM) files. * * Redistribution and use in source and binary forms, with or without * modification, are permitted provided that the following conditions are met: * * 1. Redistributions of source code must retain the above copyright notice, * this list of conditions and the following disclaimer. * * 2. Redistributions in binary form must reproduce the above copyright * notice, this list of conditions and the following disclaimer in the * documentation and/or other materials provided with the distribution. * * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS ''AS * IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, * THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR * PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDERS OR * CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, * EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, * PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; * OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, * WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR * OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * */ #include "config.h" #include #include "libxls/locale.h" #if defined(_WIN32) || defined(WIN32) || defined(_WIN64) || defined(WIN64) || defined(WINDOWS) #ifdef __GNUC__ // Rtools42 | R 4.2 | GCC 10 | UCRT // Rtools40 | R 4.0.x to 4.1.x | GCC 8.3.0 | MSVCRT // Rtools35 | R 3.3.x to 3.6.x | GCC 4.9.3 | MSVCRT #if __GNUC__ < 10 #define WINDOWS_BEFORE_RTOOLS_42 #endif #endif #endif #ifdef WINDOWS_BEFORE_RTOOLS_42 static char* old_locale; #endif xls_locale_t xls_createlocale(void) { #if defined(WINDOWS_BEFORE_RTOOLS_42) old_locale = setlocale(LC_CTYPE, ".65001"); return NULL; #elif defined(_WIN32) || defined(WIN32) || defined(_WIN64) || defined(WIN64) || defined(WINDOWS) return _create_locale(LC_CTYPE, ".65001"); #else return newlocale(LC_CTYPE_MASK, "C.UTF-8", NULL); #endif } void xls_freelocale(xls_locale_t locale) { #if defined(WINDOWS_BEFORE_RTOOLS_42) setlocale(LC_CTYPE, old_locale); return; #endif if (!locale) return; #if defined(_WIN32) || defined(WIN32) || defined(_WIN64) || defined(WIN64) || defined(WINDOWS) _free_locale(locale); #else freelocale(locale); #endif } size_t xls_wcstombs_l(char *restrict s, const wchar_t *restrict pwcs, size_t n, xls_locale_t loc) { #if defined(WINDOWS_BEFORE_RTOOLS_42) return wcstombs(s, pwcs, n); #elif defined(_WIN32) || defined(WIN32) || defined(_WIN64) || defined(WIN64) || defined(WINDOWS) return _wcstombs_l(s, pwcs, n, loc); #elif defined(HAVE_WCSTOMBS_L) return wcstombs_l(s, pwcs, n, loc); #else locale_t oldlocale = uselocale(loc); size_t result = wcstombs(s, pwcs, n); uselocale(oldlocale); return result; #endif } readxl/src/libxls/locale.h0000644000176200001440000000412714752737754015256 0ustar liggesusers/* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * Copyright 2020 Evan Miller * * This file is part of libxls -- A multiplatform, C/C++ library for parsing * Excel(TM) files. * * Redistribution and use in source and binary forms, with or without * modification, are permitted provided that the following conditions are met: * * 1. Redistributions of source code must retain the above copyright notice, * this list of conditions and the following disclaimer. * * 2. Redistributions in binary form must reproduce the above copyright * notice, this list of conditions and the following disclaimer in the * documentation and/or other materials provided with the distribution. * * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS ''AS * IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, * THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR * PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDERS OR * CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, * EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, * PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; * OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, * WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR * OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF * ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * */ #ifdef HAVE_XLOCALE_H #include #endif #include #if defined(_WIN32) || defined(WIN32) || defined(_WIN64) || defined(WIN64) || defined(WINDOWS) typedef _locale_t xls_locale_t; #elif defined(__sun) /* we never actually use the only variable declared with this type on solaris, * so its precise type doesn't really matter */ typedef void* xls_locale_t; #else typedef locale_t xls_locale_t; #endif xls_locale_t xls_createlocale(void); void xls_freelocale(xls_locale_t locale); size_t xls_wcstombs_l(char *restrict s, const wchar_t *restrict pwcs, size_t n, xls_locale_t loc); readxl/src/libxls/endian.c0000644000176200001440000001560614752737653015252 0ustar liggesusers/* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * Copyright 2013 Bob Colbert * * This file is part of libxls -- A multiplatform, C/C++ library for parsing * Excel(TM) files. * * Redistribution and use in source and binary forms, with or without * modification, are permitted provided that the following conditions are met: * * 1. Redistributions of source code must retain the above copyright notice, * this list of conditions and the following disclaimer. * * 2. Redistributions in binary form must reproduce the above copyright * notice, this list of conditions and the following disclaimer in the * documentation and/or other materials provided with the distribution. * * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS''AS IS'' * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDERS OR CONTRIBUTORS BE * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE * POSSIBILITY OF SUCH DAMAGE. * */ #include #include "libxls/xlstypes.h" #include "libxls/endian.h" #include "libxls/ole.h" int xls_is_bigendian(void) { #if defined (__BIG_ENDIAN__) return 1; #elif defined (__LITTLE_ENDIAN__) return 0; #else static int n = 1; return (*(char *)&n == 0); #endif } DWORD xlsIntVal (DWORD i) { unsigned char c1, c2, c3, c4; if (xls_is_bigendian()) { c1 = i & 255; c2 = (i >> 8) & 255; c3 = (i >> 16) & 255; c4 = (i >> 24) & 255; return ((int)c1 << 24) + ((int)c2 << 16) + ((int)c3 << 8) + c4; } else { return i; } } unsigned short xlsShortVal (short s) { unsigned char c1, c2; if (xls_is_bigendian()) { c1 = s & 255; c2 = (s >> 8) & 255; return (c1 << 8) + c2; } else { return s; } } void xlsConvertDouble(unsigned char *d) { unsigned char t; int i; if (xls_is_bigendian()) { for (i=0; i<4; i++) { t = d[7-i]; d[7-i] = d[i]; d[i] = t; } } } void xlsConvertBof(BOF *b) { b->id = xlsShortVal(b->id); b->size = xlsShortVal(b->size); } void xlsConvertBiff(BIFF *b) { b->ver = xlsShortVal(b->ver); b->type = xlsShortVal(b->type); b->id_make = xlsShortVal(b->id_make); b->year = xlsShortVal(b->year); b->flags = xlsIntVal(b->flags); b->min_ver = xlsIntVal(b->min_ver); } void xlsConvertWindow(WIND1 *w) { w->xWn = xlsShortVal(w->xWn); w->yWn = xlsShortVal(w->yWn); w->dxWn = xlsShortVal(w->dxWn); w->dyWn = xlsShortVal(w->dyWn); w->grbit = xlsShortVal(w->grbit); w->itabCur = xlsShortVal(w->itabCur); w->itabFirst = xlsShortVal(w->itabFirst); w->ctabSel = xlsShortVal(w->ctabSel); w->wTabRatio = xlsShortVal(w->wTabRatio); } void xlsConvertSst(SST *s) { s->num = xlsIntVal(s->num); s->numofstr = xlsIntVal(s->numofstr); } void xlsConvertXf5(XF5 *x) { x->font=xlsShortVal(x->font); x->format=xlsShortVal(x->format); x->type=xlsShortVal(x->type); x->align=xlsShortVal(x->align); x->color=xlsShortVal(x->color); x->fill=xlsShortVal(x->fill); x->border=xlsShortVal(x->border); x->linestyle=xlsShortVal(x->linestyle); } void xlsConvertXf8(XF8 *x) { W_ENDIAN(x->font); W_ENDIAN(x->format); W_ENDIAN(x->type); D_ENDIAN(x->linestyle); D_ENDIAN(x->linecolor); W_ENDIAN(x->groundcolor); } void xlsConvertFont(FONT *f) { W_ENDIAN(f->height); W_ENDIAN(f->flag); W_ENDIAN(f->color); W_ENDIAN(f->bold); W_ENDIAN(f->escapement); } void xlsConvertFormat(FORMAT *f) { W_ENDIAN(f->index); } void xlsConvertBoundsheet(BOUNDSHEET *b) { D_ENDIAN(b->filepos); } void xlsConvertColinfo(COLINFO *c) { W_ENDIAN(c->first); W_ENDIAN(c->last); W_ENDIAN(c->width); W_ENDIAN(c->xf); W_ENDIAN(c->flags); } void xlsConvertRow(ROW *r) { W_ENDIAN(r->index); W_ENDIAN(r->fcell); W_ENDIAN(r->lcell); W_ENDIAN(r->height); W_ENDIAN(r->notused); W_ENDIAN(r->notused2); W_ENDIAN(r->flags); W_ENDIAN(r->xf); } void xlsConvertMergedcells(MERGEDCELLS *m) { W_ENDIAN(m->rowf); W_ENDIAN(m->rowl); W_ENDIAN(m->colf); W_ENDIAN(m->coll); } void xlsConvertCol(COL *c) { W_ENDIAN(c->row); W_ENDIAN(c->col); W_ENDIAN(c->xf); } void xlsConvertFormula(FORMULA *f) { W_ENDIAN(f->row); W_ENDIAN(f->col); W_ENDIAN(f->xf); if(f->res == 0xFFFF) { switch(f->resid) { case 0: // string case 1: // bool case 2: // error case 3: // empty string break; default: xlsConvertDouble(&f->resid); break; } } else { xlsConvertDouble(&f->resid); } W_ENDIAN(f->flags); W_ENDIAN(f->len); //fflush(stdout); left over from debugging? } void xlsConvertFormulaArray(FARRAY *f) { W_ENDIAN(f->row1); W_ENDIAN(f->row2); W_ENDIAN(f->col1); W_ENDIAN(f->col2); W_ENDIAN(f->flags); W_ENDIAN(f->len); } void xlsConvertHeader(OLE2Header *h) { unsigned long i; for (i=0; iid)/sizeof(h->id[0]); i++) h->id[i] = xlsIntVal(h->id[i]); for (i=0; iclid)/sizeof(h->clid[0]); i++) h->clid[i] = xlsIntVal(h->clid[i]); h->verminor = xlsShortVal(h->verminor); h->verdll = xlsShortVal(h->verdll); h->byteorder = xlsShortVal(h->byteorder); h->lsectorB = xlsShortVal(h->lsectorB); h->lssectorB = xlsShortVal(h->lssectorB); h->reserved1 = xlsShortVal(h->reserved1); h->reserved2 = xlsIntVal(h->reserved2); h->reserved3 = xlsIntVal(h->reserved3); h->cfat = xlsIntVal(h->cfat); h->dirstart = xlsIntVal(h->dirstart); h->reserved4 = xlsIntVal(h->reserved4); h->sectorcutoff = xlsIntVal(h->sectorcutoff); h->sfatstart = xlsIntVal(h->sfatstart); h->csfat = xlsIntVal(h->csfat); h->difstart = xlsIntVal(h->difstart); h->cdif = xlsIntVal(h->cdif); for (i=0; iMSAT)/sizeof(h->MSAT[0]); i++) h->MSAT[i] = xlsIntVal(h->MSAT[i]); } void xlsConvertPss(PSS* pss) { int i; pss->bsize = xlsShortVal(pss->bsize); pss->left = xlsIntVal(pss->left); pss->right = xlsIntVal(pss->right); pss->child = xlsIntVal(pss->child); for(i=0; i<8; i++) pss->guid[i]=xlsShortVal(pss->guid[i]); pss->userflags = xlsIntVal(pss->userflags); /* TIME_T time[2]; */ pss->sstart = xlsIntVal(pss->sstart); pss->size = xlsIntVal(pss->size); pss->proptype = xlsIntVal(pss->proptype); } readxl/src/XlsxWorkBook.cpp0000644000176200001440000000057014216663505015452 0ustar liggesusers#include "XlsxWorkBook.h" [[cpp11::register]] cpp11::strings xlsx_sheets(std::string path) { return XlsxWorkBook(path).sheets(); } [[cpp11::register]] std::vector xlsx_strings(std::string path) { return XlsxWorkBook(path).stringTable(); } [[cpp11::register]] std::set xlsx_date_formats(std::string path) { return XlsxWorkBook(path).dateFormats(); } readxl/src/XlsxWorkBook.h0000644000176200001440000002541414216663505015123 0ustar liggesusers#pragma once #include "ColSpec.h" #include "utils.h" #include "XlsxString.h" #include "zip.h" #include "rapidxml/rapidxml.h" #include "cpp11/protect.hpp" #include "cpp11/strings.hpp" #include class XlsxWorkBook { // holds objects related to package parts, such as file paths, but also // worksheet position, name, and id class PackageRelations { // non-worksheet package parts std::map part_; // worksheets int n_; cpp11::writable::strings names_; cpp11::writable::strings id_; std::map target_; // populate workbook element of part_ void parse_package_rels(const std::string& path) { std::string rels_xml_file = zip_buffer(path, "_rels/.rels"); rapidxml::xml_document<> rels_xml; rels_xml.parse(&rels_xml_file[0]); rapidxml::xml_node<>* relationships = rels_xml.first_node("Relationships"); if (relationships == NULL) { cpp11::stop("Spreadsheet has no package-level relationships"); } std::map scratch; for (rapidxml::xml_node<>* relationship = relationships->first_node(); relationship; relationship = relationship->next_sibling()) { rapidxml::xml_attribute<>* type = relationship->first_attribute("Type"); rapidxml::xml_attribute<>* target = relationship->first_attribute("Target"); if (type != NULL && target != NULL) { // keys are derived by abbreviating Type // in XML: http://schemas.openxmlformats.org/officeDocument/2006/relationships/officeDocument // key is just the last part: officeDocument scratch[baseName(type->value())] = target->value(); } } // identify and store the workbook part = the main part // ECMA-376 Part 1 section 8.5 SpreadsheetML std::map::iterator m = scratch.find("officeDocument"); if (m == scratch.end()) { cpp11::stop("No workbook part found"); } // store 'xl/workbook.xml', not '/xl/workbook.xml' (rare, but have seen) part_["officeDocument"] = removeLeadingSlashes(m->second); } // populates n_, names_, id_ void parse_workbook(const std::string& path) { std::string workbookXml = zip_buffer(path, part_["officeDocument"]); rapidxml::xml_document<> workbook; workbook.parse(&workbookXml[0]); rapidxml::xml_node<>* root = workbook.first_node("workbook"); if (root == NULL) { return; } rapidxml::xml_node<>* sheets = root->first_node("sheets"); if (sheets == NULL) { return; } int i = 0; for (rapidxml::xml_node<>* sheet = sheets->first_node(); sheet; sheet = sheet->next_sibling()) { if (i >= n_) { n_ *= 2; names_ = Rf_lengthgets(names_, n_); id_ = Rf_lengthgets(id_, n_); } rapidxml::xml_attribute<>* name = sheet->first_attribute("name"); names_[i] = (name != NULL) ? Rf_mkCharCE(name->value(), CE_UTF8) : NA_STRING; rapidxml::xml_attribute<>* id = sheet->first_attribute("id"); id_[i] = (id != NULL) ? Rf_mkCharCE(id->value(), CE_UTF8) : NA_STRING; i++; } if (i != n_) { names_ = Rf_lengthgets(names_, i); id_ = Rf_lengthgets(id_, i); n_ = i; } } // populates target_ void parse_workbook_rels(const std::string& path) { const std::string workbook_path = part_["officeDocument"]; const std::string workbook_dir = dirName(workbook_path); std::string rels_xml_path = workbook_dir + "/_rels/" + baseName(workbook_path) + ".rels"; rels_xml_path = removeLeadingSlashes(rels_xml_path); std::string rels_xml_file = zip_buffer(path, rels_xml_path); rapidxml::xml_document<> rels_xml; rels_xml.parse(&rels_xml_file[0]); rapidxml::xml_node<>* relationships = rels_xml.first_node("Relationships"); if (relationships == NULL) { return; } for (rapidxml::xml_node<>* relationship = relationships->first_node(); relationship; relationship = relationship->next_sibling()) { rapidxml::xml_attribute<>* id = relationship->first_attribute("Id"); rapidxml::xml_attribute<>* type = relationship->first_attribute("Type"); rapidxml::xml_attribute<>* target = relationship->first_attribute("Target"); if (id != NULL && type != NULL && target != NULL) { // store 'xl/blah' instead of '/xl/blah' (rare, but we've seen) std::string target_value = removeLeadingSlashes(target->value()); // abbreviate Type // in XML: http://schemas.openxmlformats.org/officeDocument/2006/relationships/sharedStrings // whereas we only want: sharedStrings std::string type_value = baseName(type->value()); // prepend workbook_dir iff needed; yes, we've seen both forms // xl/blah --> xl/blah // blah --> xl/blah if (target_value.substr(0, workbook_dir.size()) != workbook_dir) { target_value = workbook_dir + "/" + target_value; } if (type_value.compare("worksheet") == 0) { // worksheet target_[id->value()] = target_value; } else { // not a worksheet, e.g. styles or sharedStrings part_[type_value] = target_value; } } } } public: PackageRelations(const std::string& path) : n_(100), names_(n_), id_(n_) { parse_package_rels(path); parse_workbook(path); parse_workbook_rels(path); } cpp11::strings names() const { return names_; } int n_sheets() const { return n_; } std::string target(int sheet_i) const { std::string id = cpp11::r_string(id_[sheet_i]); std::map::const_iterator it = target_.find(id); if (it == target_.end()) { cpp11::stop("`%s` not found", id.c_str()); } return it->second; } std::string part(std::string type) const { std::map::const_iterator it = part_.find(type); if (it == part_.end()) { // e.g., sharedStrings may not be present // downstream functions should handle non-existent path return ""; } return it->second; } }; // end of class PackageRelations // common to Xls[x]WorkBook std::string path_; bool is1904_; std::set dateFormats_; // specific to XlsxWorkBook PackageRelations rel_; std::vector stringTable_; public: XlsxWorkBook(const std::string& path): path_(path), rel_(path) { is1904_ = uses1904(); cacheStringTable(); cacheDateFormats(); } const std::string& path() const{ return path_; } int n_sheets() const { return rel_.n_sheets(); } cpp11::strings sheets() const { return rel_.names(); } bool is1904() const { return is1904_; } const std::set& dateFormats() const { return dateFormats_; } std::string sheetPath(int sheet_i) const { return rel_.target(sheet_i); } const std::vector& stringTable() const { return stringTable_; } private: void cacheStringTable() { if (!zip_has_file(path_, rel_.part("sharedStrings"))) { return; } std::string sharedStringsXml = zip_buffer(path_, rel_.part("sharedStrings")); rapidxml::xml_document<> sharedStrings; sharedStrings.parse(&sharedStringsXml[0]); rapidxml::xml_node<>* sst = sharedStrings.first_node("sst"); if (sst == NULL) { return; } rapidxml::xml_attribute<>* count = sst->first_attribute("count"); if (count != NULL) { int n = atoi(count->value()); stringTable_.reserve(n); } // 18.4.8 si (String Item) [p1725] for (rapidxml::xml_node<>* string = sst->first_node(); string; string = string->next_sibling()) { std::string out; if (parseString(string, &out)) { stringTable_.push_back(out); } } } void cacheDateFormats() { if (!zip_has_file(path_, rel_.part("styles"))) { return; } std::string stylesXml = zip_buffer(path_, rel_.part("styles")); rapidxml::xml_document<> styles; styles.parse(&stylesXml[0]); rapidxml::xml_node<>* styleSheet = styles.first_node("styleSheet"); if (styleSheet == NULL) { return; } // Figure out which custom formats are dates // 18.8.31 numFmts (Number Formats) p1793 5th ed std::set customDateFormats; rapidxml::xml_node<>* numFmts = styleSheet->first_node("numFmts"); if (numFmts != NULL) { // Example with just one custom format (non date, in this case) // // // for (rapidxml::xml_node<>* numFmt = numFmts->first_node(); numFmt; numFmt = numFmt->next_sibling()) { // formatCode: The number format code for this number format. std::string code(numFmt->first_attribute("formatCode")->value()); // numFmtId: Id used by the master style records (xf's) to reference // this number format. int id = atoi(numFmt->first_attribute("numFmtId")->value()); if (isDateFormat(code)) { customDateFormats.insert(id); } } } // Cache 0-based indices of the master cell style records that refer to a // number format that is a date format rapidxml::xml_node<>* cellXfs = styleSheet->first_node("cellXfs"); if (cellXfs == NULL) { return; } // inspecting i-th child of cellXfs = i-th cell style record = an int i = 0; for (rapidxml::xml_node<>* cellXf = cellXfs->first_node(); cellXf; cellXf = cellXf->next_sibling()) { if (cellXf->first_attribute("numFmtId") == NULL) { ++i; continue; } int formatId = atoi(cellXf->first_attribute("numFmtId")->value()); if (isDateTime(formatId, customDateFormats)) dateFormats_.insert(i); ++i; } } bool uses1904() { std::string workbookXml = zip_buffer(path_, rel_.part("officeDocument")); rapidxml::xml_document<> workbook; workbook.parse(&workbookXml[0]); rapidxml::xml_node<>* root = workbook.first_node("workbook"); if (root == NULL) { return false; } rapidxml::xml_node<>* workbookPr = root->first_node("workbookPr"); if (workbookPr == NULL) { return false; } rapidxml::xml_attribute<>* date1904 = workbookPr->first_attribute("date1904"); if (date1904 == NULL) { return false; } return atoi(date1904->value()) == 1; } }; readxl/NAMESPACE0000644000176200001440000000075114402521714012753 0ustar liggesusers# Generated by roxygen2: do not edit by hand export(anchored) export(cell_cols) export(cell_limits) export(cell_rows) export(excel_format) export(excel_sheets) export(format_from_ext) export(format_from_signature) export(read_excel) export(read_xls) export(read_xlsx) export(readxl_example) export(readxl_progress) importFrom(cellranger,anchored) importFrom(cellranger,cell_cols) importFrom(cellranger,cell_limits) importFrom(cellranger,cell_rows) useDynLib(readxl, .registration = TRUE) readxl/LICENSE0000644000176200001440000000005414370571753012551 0ustar liggesusersYEAR: 2023 COPYRIGHT HOLDER: readxl authors readxl/NEWS.md0000644000176200001440000003525114757502034012644 0ustar liggesusers# readxl 1.4.4 This release contains no user-facing changes. * readxl embeds libxls v1.6.3, with release notes at . This version of libxls fixes several vulnerabilities. * Other small internal changes have been made to comply with CRAN requests, such as avoiding the use of `Rf_StringTrue()`. # readxl 1.4.3 This release contains no user-facing changes. # readxl 1.4.2 This release contains no user-facing changes. * We embed a development version of libxls (), which is based on the most recent released version, v1.6.2. The reason for embedding a development version is to ship a version of libxls that incorporates the fix for this CVE (#679): - [CVE-2021-27836](https://nvd.nist.gov/vuln/detail/CVE-2021-27836) * readxl no longer declares the use of C++11. * readxl should once again compile on Alpine Linux. * Other small readxl-specific patches have been made to the embedded libxls code to comply with CRAN requests, such as avoiding the use of `sprintf()`. # readxl 1.4.1 Help files below `man/` have been re-generated, so that they give rise to valid HTML5. (This is the impetus for this release, to keep the package safely on CRAN.) # readxl 1.4.0 This release is mostly about substantial internal changes that should not be noticeable to most users (but that set the stage for future work): * Updating the embedded version of libxls (more below) * Switching from Rcpp to cpp11 (more below) * Refactoring to reduce duplication between the `.xls` and `.xlsx` branches However, there are a few small features / bug fixes: * "Date or Not Date": The classification of number formats as being datetime-ish is more sophisticated and should no longer be so easily fooled by, e.g., colours or currencies. This affects cell and column type guessing, hopefully for the better (#388, #559, @nacnudus, @reviewher). * Cell location is determined more robustly in `.xlsx` files, guarding against the idiosyncratic way in which certain 3rd party tools include (or, rather, do not include) cell location in individual cell nodes (#648, #671). * Warning messages for impossible dates are more specific. Unsupported dates prior to 1900 have their own message now, instead of being lumped in with dates on the non-existent day of February 29, 1900 (#551, #554, @cderv). ## Dependency and licensing changes * readxl is now licensed as MIT (#632). * readxl now states its support for R >= 3.4 explicitly. Why 3.4? Because the [tidyverse policy](https://www.tidyverse.org/blog/2019/04/r-version-support/) is to support the current version, the devel version, and four previous versions of R. It was necessary to introduce a minimum R version, in order to state a minimum version for a package listed in `LinkingTo`. * readxl embeds libxls v1.6.2 (the previous release embedded v1.5.0). The libxls project is hosted at and you can learn more about the cumulative changes in its release notes: - [v1.6.2](https://github.com/libxls/libxls/releases/tag/v1.6.2) - [v1.6.1](https://github.com/libxls/libxls/releases/tag/v1.6.1) - [v1.6.0](https://github.com/libxls/libxls/releases/tag/v1.6.0) - [v1.5.3](https://github.com/libxls/libxls/releases/tag/v1.5.3) - [v1.5.2](https://github.com/libxls/libxls/releases/tag/v1.5.2) - [v1.5.1](https://github.com/libxls/libxls/releases/tag/v1.5.1) * readxl has switched from Rcpp to cpp11 and now requires C++11 (#659, @sbearrows). * The minimum version of tibble has been bumped to 2.0.1 (released 2019-01-12), completing the transition to an approach to column name repair used across the tidyverse. # readxl 1.3.1 Pragmatic patch release to update some tests in advance of v2.1.0 of the tibble package. That release updates name repair: standard suffix becomes `...j`, instead of `..j`, partially motivated by user experience in readxl. # readxl 1.3.0 ## Dependency changes readxl embeds libxls v1.5.0. This is the first *official* release of libxls in several years, although readxl has been tracking the development version in the interim. The libxls project is now officially hosted at . In particular, libxls v1.5.0 addresses these two CVEs: * [CVE-2018-20452](http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2018-20452) * [CVE-2018-20450](http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2018-20450) # readxl 1.2.0 ## Column name repair readxl exposes the `.name_repair` argument that is [coming to version 2.0.0 of the tibble package](https://www.tidyverse.org/blog/2018/11/tibble-2.0.0-pre-announce/). The readxl default is `.name_repair = "unique"`, keeping with the readxl convention to ensure column names are neither missing nor duplicated. * [Column Names](https://readxl.tidyverse.org/articles/articles/column-names.html) is a new article about this feature. * readxl delegates name repair to tibble, therefore the installed tibble version determines how names are repaired. * If tibble >= v2.0.0, the full power of `.name_repair` is available, defaulting to `.name_repair = "unique"`. Otherwise, the legacy function `tibble::repair_names(prefix = "X", sep = "__")` is used, replicating the behaviour of readxl v1.1.0. - Consider a spreadsheet with three columns: one unnamed and two named `x`. - Content of cells in Excel: `""`, `x`, `x` - New style column names: `..1`, `x..2`, `x..3` - Legacy column names: `X__1`, `x`, `x__1` * Once per session, readxl emits a message stating that it works best with tibble >= v2.0.0. It is anticipated that this will become a hard minimum version requirement in a future version of readxl. ## Other changes * `read_excel()` and friends gain a `progress` argument that controls a progress spinner (#243, #538). * `read_xls()` and `read_xlsx()` pass the `trim_ws` argument along (#514). * readxl has a [new article](https://readxl.tidyverse.org/articles/articles/multiple-header-rows.html) on reading Excel files with multiple header rows (#486, #492 @apreshill). * xlsx files that do not have a "styles" part can now be read (#505, #506 @jt6) * All paths are passed through `normalizePath()` (#498, #499, new behaviour for xlsx but not xls) and `enc2native()` (#370). ## Dependency changes readxl is now tested back to R >= 3.1. Embedded libxls has been updated, using the source in . readxl's DESCRIPTION now records the SHA associated to the embedded libxls in a `Note`. # readxl 1.1.0 * `read_excel()` and `excel_sheets()` associate a larger set of file extensions with xlsx and are better able to guess the format of a file with a nonstandard or missing extension. This is about deciding whether to treat a file as xls or xlsx. (#342, #411, #457) - `excel_format()` is the newly-exported format-guessing function. - `format_from_ext()` is a low-level helper, also exported, that only consults file extension. In addition to the obvious interpretation of `.xls` and `.xlsx`, the extensions `.xlsm`, `.xltx`, and `.xltm` are now associated with xlsx. - `format_from_signature()` is a low-level helper, also exported, that consults the file's signature (a.k.a. magic number). It's handy for files that lack an extension. * Embedded libxls has been updated to address security vulnerabilitities identified in late 2017 (#441, #442). - [CVE-2017-12110](https://talosintelligence.com/vulnerability_reports/TALOS-2017-0462), [CVE-2017-2896](https://talosintelligence.com/vulnerability_reports/TALOS-2017-0403), and [CVE-2017-2897](https://talosintelligence.com/vulnerability_reports/TALOS-2017-0404) were demonstrated to affect readxl v1.0.0. These have been addressed in libxls and the embedded version of libxls incorporates those fixes. - Although [CVE-2017-12111](https://talosintelligence.com/vulnerability_reports/TALOS-2017-0463) and [CVE-2017-2919](https://talosintelligence.com/vulnerability_reports/TALOS-2017-0426) mention readxl, the notices clarify that these CVEs do not actually affect readxl. Both have been fixed in libxls for quite a while: CVE-2017-12111 since 2014 and CVE-2017-2919 since 2012. * xlsx structured as a "minimal conformant SpreadsheetML package" can be read. Most obvious feature of such sheets is the lack of an `xl/` directory in the unzipped form. (xlsx, #435, #437) * Reading xls sheet with exactly 65,536 rows no longer enters an infinite loop. (xls, #373, #416, #432 @vkapartzianis) * Doubles, including datetimes, coerced to character from xls now have much higher precision, comparable to the xlsx behaviour. (xls, #430, #431) * Integer-y numbers larger than 2^31 are coerced properly to string (xls, #346) * Shared strings are only compared to NA strings after lookup, never on the basis of their index. (xlsx, #401) * Better checks and messaging around nonexistent files. (#392) * Add `$(C_VISIBILITY)` to compiler flags to hide internal symbols from the dll. (#385 @jeroen) * Numeric data in a logical column now coerces properly to logical. (xlsx, #385 @nacnudus) # readxl 1.0.0 ## Sheet geometry * `range` is a new argument for reading a rectangular range, possibly open. (#314, #8) * `n_max` is a new argument that limits the number of data rows read. (#306, #281) * Empty cells, rows, columns (xlsx #248 and #240, xls #271): Cells with no content are no longer loaded, even if they appear in the file. Affects cells that have no data but that carry explicit formatting, detectable in Excel as seemingly empty cells with a format other than "General". Such cells may still exist in the returned tibble, with value `NA`, depending on the sheet geometry. * Eliminates a source of trailing rows (#203) and columns (#236, #162, #146) consisting entirely of `NA`. * Eliminates a subtle source of disagreement between user-provided column names and guessed column types (#169, #81). * Embedded empty columns are no longer automatically dropped, regardless of whether there is a column name. (#157, #261) * Worksheets that are completely empty or that contain only column names no longer error, but return a tibble with zero rows. (#222, #144, #65) * Improved handling of leading and embedded blank rows and explicit row skipping. (#224, #194, #178, #156, #101) * User-supplied `col_names` are processed relative to user-supplied `col_types`, if given. Specifically, `col_names` is considered valid if it has the same length as `col_types`, before *or after* removing skipped columns. (#81, #261) ## Column types and coercion * `"list"` is a new accepted value for `col_types`. Loads data as a list of length-1 vectors, that are typed using the logic from `col_types = NULL`, but on a cell-by-cell basis (#262 @gergness). * `"logical"` is a new accepted value for `col_types`. When `col_types = NULL`, it is the guessed type for cells Excel advertises as Boolean. When a column has no data, it is now filled with logical `NA`. (#277, #270) * `"guess"` is a new accepted value for `col_types`. Allows the user to specify some column types, while allowing others to be guessed (#286) * A user-specified `col_types` of length one will be replicated to have length equal to the number of columns. (#127, #114, #261) * `"blank"` has been deprecated in favor of the more descriptive and readr-compatible `"skip"`, which is now the preferred way to request that a column be skipped. (#260, #193, #261) * `guess_max` is a new argument that lets user adjust the number of rows used to guess column types. (#223, #257 @tklebel and @jennybc) * `trim_ws` is a new argument to remove leading and trailing whitespace. It defaults to `TRUE`. (#326, #211) * `na` can now hold multiple NA values, e.g., `read_excel("missing-values.xls", na = c("NA", "1"))`. (#13, #56, @jmarshallnz) * Coercions and cell data: - Numeric data that appears in a date column is coerced to a date. Throws a warning. (#277, #266) - Dates that appear in a numeric column are converted to `NA` instead of their integer representation. Throws warning. (#277, #263) - "Number stored as text": when a text cell is found in a numeric column, `read_excel()` attempts to coerce the string to numeric and falls back to `NA` if unsuccessful. Throws warning. (#277, #217, #106) - Cells in error are treated as blank and are imported as `NA` (instead of the string `"error"`). (#277, #62) - BoolErr cells are now handled in xls. Suppresses message `"Unknown type: 517"`. (#274, #259) - Dates that arise from a formula are treated as dates (vs. numeric) in xls. (#277) - Dates in .xlsx files saved with LibreOffice are now recognized as such. (#134, @zeehio) ## Compatibility Many 3rd party tools write xls and xlsx that comply with the spec, but that are quite different from files produced by Excel. * Namespace prefixes are now stripped from element names and attributes when parsing XML from xlsx. Workaround for the creative approach taken in some other s/w, coupled with rapidxml's lack of namespace support. (#295, #268, #202, #80) * Excel mixes 0- and 1-indexing in reported row and column dimensions for xls and libxls expects that. Other s/w may index from 0 for both, preventing libxls from reading the last column. Patched to restore access to those cells. (#273, #180, #152, #99) * More robust logic for sheet lookup in xlsx. Improves compatibility with xlsx written by a variety of tools and/or xlsx containing chartsheets. (#233, #104, #200, #168, #116, @jimhester and @jennybc) * The `numFmtId` attribute is no longer accessed when it does not exist (xlsx written by ). (#191, #229) * Location is inferred for cells that do not declare their location (xlsx written by JMP). (#240, #163, #102) ## Other * `read_xls()` and `read_xlsx()` are now exposed, such that files without an `.xls` or `.xlsx` extension can be read. (#85, @jirkalewandowski) * The [Lotus 1-2-3 leap year bug](https://learn.microsoft.com/en-US/office/troubleshoot/excel/wrongly-assumes-1900-is-leap-year) is now accounted for, i.e. date-times prior to March 1, 1900 import correctly. Date-times on the non-existent leap day February 29, 1900 import as NA and throw a warning. (#264, #148, #292) * The tibble package is now imported (#175, @krlmlr) and `tibble::repair_names()` is used to prevent empty, `NA`, or duplicated column names. (#216, #208, #199 #182, #53, #247). * Default column names for xlsx now start with X__1 instead of X__0. (#98, @zeehio, @krlmlr) * Fix compilation warnings/failures (FreeBSD 10.3 #221, gcc 4.9.3 #124) and/or problems reading xls (CentOS 6.6 #189). (#244, #245, #246 @jeroen) * Unwanted printed output (e.g., `DEFINEDNAME: 21 00 00 ...`) is suppressed when reading xls that contains a defined range. (#82, #188, @PedramNavid) # readxl 0.1.1 * Add support for correctly reading strings in .xlsx files containing escaped unicode characters (e.g. `_x005F_`). (#51, @jmarshallnz) readxl/inst/0000755000176200001440000000000014757502114012514 5ustar liggesusersreadxl/inst/doc/0000755000176200001440000000000014757502114013261 5ustar liggesusersreadxl/inst/doc/sheet-geometry.R0000644000176200001440000000562014757502113016347 0ustar liggesusers## ----include = FALSE---------------------------------------------------------- knitr::opts_chunk$set( collapse = TRUE, comment = "#>" ) options(tibble.print_min = 4, tibble.print_max = 4) ## ----setup-------------------------------------------------------------------- library(readxl) ## ----eval = FALSE------------------------------------------------------------- # read_excel("yo.xlsx", skip = 5) # read_excel("yo.xlsx", n_max = 100) # read_excel("yo.xlsx", skip = 5, n_max = 100) # read_excel("yo.xlsx", range = "C1:E7") # read_excel("yo.xlsx", range = cell_rows(6:23)) # read_excel("yo.xlsx", range = cell_cols("B:D")) # read_excel("yo.xlsx", range = anchored("C4", dim = c(3, 2))) ## ----out.width = '70%', echo = FALSE------------------------------------------ knitr::include_graphics("img/geometry.png") ## ----------------------------------------------------------------------------- read_excel(readxl_example("geometry.xlsx")) ## ----------------------------------------------------------------------------- read_excel(readxl_example("geometry.xlsx"), skip = 1) ## ----------------------------------------------------------------------------- read_excel(readxl_example("geometry.xlsx"), skip = 3) ## ----------------------------------------------------------------------------- read_excel(readxl_example("geometry.xlsx"), n_max = 2) ## ----------------------------------------------------------------------------- read_excel(readxl_example("geometry.xlsx"), n_max = 1000) ## ----------------------------------------------------------------------------- read_excel(readxl_example("deaths.xlsx"), range = "arts!A5:F15") ## ----out.width = '70%', echo = FALSE------------------------------------------ knitr::include_graphics("img/geometry.png") ## ----------------------------------------------------------------------------- read_excel(readxl_example("geometry.xlsx"), range = "A2:C4") ## ----eval = FALSE------------------------------------------------------------- # ## rows only # read_excel(..., range = cell_rows(1:10)) # ## is equivalent to # read_excel(..., range = cell_rows(c(1, 10))) # # ## columns only # read_excel(..., range = cell_cols(1:26)) # ## is equivalent to all of these # read_excel(..., range = cell_cols(c(1, 26))) # read_excel(..., range = cell_cols("A:Z")) # read_excel(..., range = cell_cols(LETTERS)) # read_excel(..., range = cell_cols(c("A", "Z")) ## ----------------------------------------------------------------------------- read_excel(readxl_example("geometry.xlsx"), range = cell_rows(4:8)) ## ----------------------------------------------------------------------------- read_excel( readxl_example("geometry.xlsx"), col_names = paste("var", 1:4, sep = "_"), range = anchored("C5", c(3, 4)) ) ## ----------------------------------------------------------------------------- read_excel( readxl_example("geometry.xlsx"), col_names = FALSE, range = cell_limits(c(5, 3), c(NA, NA)) ) readxl/inst/doc/sheet-geometry.Rmd0000644000176200001440000002153714402720577016700 0ustar liggesusers--- title: "Sheet Geometry" output: rmarkdown::html_vignette vignette: > %\VignetteIndexEntry{Sheet Geometry} %\VignetteEngine{knitr::rmarkdown} %\VignetteEncoding{UTF-8} --- ```{r include = FALSE} knitr::opts_chunk$set( collapse = TRUE, comment = "#>" ) options(tibble.print_min = 4, tibble.print_max = 4) ``` ```{r setup} library(readxl) ``` `readxl::read_excel()` brings data from a rectangle of cells into R as a data frame or, more specifically, a [tibble](https://tibble.tidyverse.org/reference/tibble.html). The extent of the data rectangle can be determined in various ways: * **Discovered**: By default, `read_excel()` uses the smallest rectangle that contains the non-empty cells. It "shrink wraps" the data. * **Bounded**: The `skip` and `n_max` arguments constrain `read_excel()`'s discovery process with respect to rows. At least `skip` spreadsheet rows will be skipped or ignored and at most `n_max` spreadsheet rows will be considered as data. Compared to the default of **discovery**, these arguments can only lead to making the output tibble smaller. * **Set**: The `range` argument is taken literally, even if that means you will have leading or trailing rows or columns filled with `NA`. If you ask for `range = "A1:D4"`, you are guaranteed to get a tibble with 4 columns (A through D) and either 3 rows (`col_names = TRUE`, default) or 4 rows (`col_names = FALSE`). * **Mixed**: In typical use, `read_excel()`'s geometry arguments often imply that certain limits are **discovered** while others are **bounded** or **set**. This will be more clear in the concrete examples below. For now, here are a few ways `read_excel()` can look when you take control of the geometry: ```{r eval = FALSE} read_excel("yo.xlsx", skip = 5) read_excel("yo.xlsx", n_max = 100) read_excel("yo.xlsx", skip = 5, n_max = 100) read_excel("yo.xlsx", range = "C1:E7") read_excel("yo.xlsx", range = cell_rows(6:23)) read_excel("yo.xlsx", range = cell_cols("B:D")) read_excel("yo.xlsx", range = anchored("C4", dim = c(3, 2))) ``` ## Little known Excel facts readxl's behavior and interface may be easier to understand if you understand this about Excel: > Cells you can see don't necessarily exist. Cells that look blank aren't necessarily so. Among lots of other information, Excel files obviously must contain information on each cell. Let's use the word "item" to denote one cell's-worth of info. Just because you see a cell on the screen in Excel, that doesn't mean there's a corresponding item on file. Why? Because Excel presents a huge gridded canvas for you to write on. Until you actually populate a cell, though, it doesn't really exist. The stream of cell items describes the existing cells, going from upper left to lower right, travelling by row. Blank cells simply do not exist in it. Ah, but what is a blank cell? Some cells appear blank to the naked eye but are not considered so by Excel and, indeed, are represented by a cell item. This happens when a cell has no content but does have an associated format. This format could have been applied directly to a single cell or, more often, indirectly via formatting applied to an entire row or column. Once a human has spent some quality time with a spreadsheet, many seemingly empty cells will bear a format and will thus have an associated cell item. ### Implications for readxl readxl only reads cell items that have content. It ignores cell items that exist strictly to convey formatting. The tibble returned by readxl will often cover cells that are empty in the spreadsheet, filled with `NA`. But only because there was some other reason for the associated row or column to exist: actual data or user-specified geometry. ## `skip` and `n_max` `skip` and `n_max` are the "entry-level" solution for controlling the data rectangle. They work only in the row direction. Column-wise, you're letting readxl discover which columns are populated. If you specify `range` (covered below), `skip` and `n_max` are ignored. ### `skip` The `skip` argument tells `read_excel()` to start looking for populated cells after skipping at least `skip` rows. If the new start point begins with 1 or more empty rows, `read_excel()` will skip even more before it starts reading from the sheet. Here's a screen shot of the `geometry.xlsx` example sheet that ships with readxl, accessible via `readxl_example("geometry.xlsx")`. ```{r out.width = '70%', echo = FALSE} #| fig-alt: Screenshot of the "geometry.xlsx" example spreadsheet. The cells in #| the range B3:D6 are populated, each with the string of the cell's #| address. For example, the cell B3 contains the string "B3". knitr::include_graphics("img/geometry.png") ``` By default, `read_excel()` just discovers the data rectangle: ```{r} read_excel(readxl_example("geometry.xlsx")) ``` If you explicitly skip one row, note that `read_excel()` still skips row 2, which is also empty, leading to the same result as before: ```{r} read_excel(readxl_example("geometry.xlsx"), skip = 1) ``` You can also use `skip` to skip over populated cells. In real life, this is a mighty weapon against the explanatory text that people like to include at the top of spreadsheets. ```{r} read_excel(readxl_example("geometry.xlsx"), skip = 3) ``` Summary: `skip` tells `read_excel()` to skip *at least this many* spreadsheet rows before reading anything. ### `n_max` The `n_max` argument tells `read_excel()` to read at most `n_max` rows, once it has found the data rectangle. Note that `n_max` is specifically about *the data*. You still use `col_names` to express whether the first spreadsheet row should be used to create column names (default is `TRUE`). `n_max = 2` causes us to ignore the last data row -- the 3rd one -- in `geometry.xlsx`. ```{r} read_excel(readxl_example("geometry.xlsx"), n_max = 2) ``` `n_max` is an upper bound. It will never cause empty rows to be included in the tibble. Note how we get 3 data rows here, even though `n_max` is much greater. ```{r} read_excel(readxl_example("geometry.xlsx"), n_max = 1000) ``` ## `range` The `range` argument is the most flexible way to control geometry and is powered by the [cellranger](https://github.com/rsheets/cellranger#readme) package. One huge difference from `skip` and `n_max` is that `range` is taken literally! Even if it means the returned tibble will have entire rows or columns consisting of `NA`. You can describe cell limits in a variety of ways: **Excel-style range**: Specify a fixed rectangle with `range = "A1:D4"` or `range = "R1C1:R4C4"`. You can even prepend the worksheet name like so: `range = "foofy!A1:D4"` and it will be passed along to the `sheet` argument. The `deaths.xlsx` example sheet features junk rows both before and after the data rectangle. The payoff for specifying the data rectangle precisely is that we get the data frame we want, with correct guesses for the column types. ```{r} read_excel(readxl_example("deaths.xlsx"), range = "arts!A5:F15") ``` We repeat the screenshot of `geometry.xlsx` as a visual reference. ```{r out.width = '70%', echo = FALSE} #| fig-alt: Screenshot of the "geometry.xlsx" example spreadsheet. The cells in #| the range B3:D6 are populated, each with the string of the cell's #| address. For example, the cell B3 contains the string "B3". knitr::include_graphics("img/geometry.png") ``` Going back to `geometry.xlsx`, here we specify a rectangle that only partially overlaps the data. Note the use of default column names, because the first row of cells is empty, and the leading column of `NA`s. ```{r} read_excel(readxl_example("geometry.xlsx"), range = "A2:C4") ``` **Specific range of rows or columns**: Set exact limits on just the rows or just the columns and allow the limits in the other direction to be discovered. Example calls: ```{r eval = FALSE} ## rows only read_excel(..., range = cell_rows(1:10)) ## is equivalent to read_excel(..., range = cell_rows(c(1, 10))) ## columns only read_excel(..., range = cell_cols(1:26)) ## is equivalent to all of these read_excel(..., range = cell_cols(c(1, 26))) read_excel(..., range = cell_cols("A:Z")) read_excel(..., range = cell_cols(LETTERS)) read_excel(..., range = cell_cols(c("A", "Z")) ``` We use `geometry.xlsx` to demonstrate setting hard limits on the rows, running past the data, while allowing column limits to discovered. Note the trailing rows of `NA`. ```{r} read_excel(readxl_example("geometry.xlsx"), range = cell_rows(4:8)) ``` **Anchored rectangle**: Helper functions `anchored()` and `cell_limits()` let you specify limits via the corner(s) of the rectangle. Here we get a 3 by 4 rectangle with cell C5 as the upper left corner: ```{r} read_excel( readxl_example("geometry.xlsx"), col_names = paste("var", 1:4, sep = "_"), range = anchored("C5", c(3, 4)) ) ``` Here we set C5 as the upper left corner and allow the other limits to be discovered: ```{r} read_excel( readxl_example("geometry.xlsx"), col_names = FALSE, range = cell_limits(c(5, 3), c(NA, NA)) ) ``` readxl/inst/doc/cell-and-column-types.Rmd0000644000176200001440000002523714402717322020046 0ustar liggesusers--- title: "Cell and Column Types" output: rmarkdown::html_vignette vignette: > %\VignetteIndexEntry{Cell and Column Types} %\VignetteEngine{knitr::rmarkdown} %\VignetteEncoding{UTF-8} --- ```{r include = FALSE} knitr::opts_chunk$set( collapse = TRUE, comment = "#>" ) options(tibble.print_min = 4, tibble.print_max = 4) ``` ```{r setup} library(readxl) ``` `readxl::read_excel()` will guess column types, by default, or you can provide them explicitly via the `col_types` argument. The `col_types` argument is more flexible than you might think; you can mix actual types in with `"skip"` and `"guess"` and a single type will be recycled to the necessary length. Here are different ways this might look: ```{r eval = FALSE} read_excel("yo.xlsx") read_excel("yo.xlsx", col_types = "numeric") read_excel("yo.xlsx", col_types = c("date", "skip", "guess", "numeric")) ``` ## Type guessing If you use other packages in the [tidyverse](https://www.tidyverse.org/), you are probably familiar with [readr](https://readr.tidyverse.org/), which reads data from flat files. Like readxl, readr also provides column type guessing, but readr and readxl are very different under the hood. * readr guesses column type *based on the data*. * readxl guesses column type *based on Excel cell types*. Each cell in an Excel spreadsheet has its own type. For all intents and purposes, they are:        empty < boolean < numeric < text with the wrinkle that datetimes are a very special flavor of numeric. A cell of any particular type can always be represented as one of any higher type and, possibly, as one of lower type. When guessing, `read_excel()` keeps a running "maximum" on the cell types it has seen in any given column. Once it has visited `guess_max` rows or run out of data, this is the guessed type for that column. There is a strong current towards "text", the column type of last resort. Here's an example of column guessing with `deaths.xlsx` which ships with readxl. ```{r} read_excel(readxl_example("deaths.xlsx"), range = cell_rows(5:15)) ``` ## Excel types, R types, `col_types` Here's how the Excel cell/column types are translated into R types and how to force the type explicitly in `col_types`: | How it is in Excel | How it will be in R | How to request in `col_types` | |--------------------|-------------------------|-------------------------------| | *anything* | *non-existent* | `"skip"` | | empty | `logical`, but all `NA` | *you cannot request this* | | boolean | `logical` | `"logical"` | | numeric | `numeric` | `"numeric"` | | datetime | `POSIXct` | `"date"` | | text | `character` | `"text"` | | *anything* | `list` | `"list"` | Some explanation about the weird cases in the first two rows: * If a column falls in your data rectangle, but you do not want an associated variable in the output, specify the column type `"skip"`. Internally, these cells may be visited in order to learn their location, but they are not loaded and their data is never read. * You cannot request that a column be included but filled with `NA`s. Such a column can arise naturally, if all the cells are empty, or you can skip a column (see previous point). Example of skipping and guessing: ```{r} read_excel( readxl_example("deaths.xlsx"), range = cell_rows(5:15), col_types = c("guess", "skip", "guess", "skip", "skip", "skip") ) ``` More about the `"list"` column type in the last row: * This will create a list-column in the output, each component of which is a length one atomic vector. The type of these vectors is determined using the logic described above. This can be useful if data of truly disparate type is arranged in a column. We demonstrate the `"list"` column type using the `clippy.xlsx` sheet that ship with Excel. Its second column holds information about Clippy that would be really hard to store with just one type. ```{r} (clippy <- read_excel(readxl_example("clippy.xlsx"), col_types = c("text", "list"))) tibble::deframe(clippy) sapply(clippy$value, class) ``` Final note: all datetimes are imported as having the UTC timezone, because, mercifully, Excel has no notion of timezones. ## When column guessing goes wrong It's pretty common to expect a column to import as, say, numeric or datetime. And to then be sad when it imports as character instead. Two main causes: **Contamination by embedded missing or bad data of incompatible type.** Example: missing data entered as `??` in a numeric column. * Fix: use the `na` argument of `read_excel()` to describe all possible forms for missing data. This should prevent such cells from influencing type guessing and cause them to import as `NA` of the appropriate type. **Contamination of the data rectangle by leading or trailing non-data rows.** Example: the sheet contains a few lines of explanatory prose before the data table begins. * Fix: specify the target rectangle. Use `skip` and `n_max` to provide a minimum number of rows to skip and a maximum number of data rows to read, respectively. Or use the more powerful `range` argument to describe the cell rectangle in various ways. See the examples for `read_excel()` help or `vignette("sheet-geometry")` for more detail. The `deaths.xlsx` sheet demonstrates this perfectly. Here's how it imports if we don't specify `range` as we did above: ```{r} deaths <- read_excel(readxl_example("deaths.xlsx")) print(deaths, n = Inf) ``` Non-data rows above and below the main data rectangle are causing all the columns to import as character. If your column typing problem can't be solved by specifying `na` or the data rectangle, request the `"list"` column type and handle missing data and coercion after import. ### Peek at column names Sometimes you aren't completely sure of column count or order, and yet you need to provide *some* information via `col_types`. For example, you might know that the column named "foofy" should be text, but you're not sure where it appears. Or maybe you want to ensure that lots of empty cells at the top of "foofy" don't cause it to be guessed as logical. Here's an efficient trick to get the column names, so you can programmatically build the `col_types` vector you need for your main reading of the Excel file. Let's imagine I want to force the columns whose names include "Petal" to be text, but leave everything else to be guessed. ```{r} (nms <- names(read_excel(readxl_example("datasets.xlsx"), n_max = 0))) (ct <- ifelse(grepl("^Petal", nms), "text", "guess")) read_excel(readxl_example("datasets.xlsx"), col_types = ct) ``` ## Square pegs in round holes You can force a column to have a specific type via `col_types`. So what happens to cells of another type? They will either be coerced to the requested type or to an `NA` of appropriate type. For each column type, below we present a screen shot of a sheet from the built-in example `type-me.xlsx`. We force the first column to have a specific type and the second column explains what is in the first. You'll see how mismatches between cell type and column type are resolved. ### Logical column A numeric cell is coerced to `FALSE` if it is zero and `TRUE` otherwise. A date cell becomes `NA`. Just like in R, the strings "T", "TRUE", "True", and "true" are regarded as `TRUE` and "F", "FALSE", "False", "false" as `FALSE`. Other strings import as `NA`. ```{r} df <- read_excel(readxl_example("type-me.xlsx"), sheet = "logical_coercion", col_types = c("logical", "text")) print(df, n = Inf) ``` ```{r out.width = '70%', echo = FALSE} #| fig-alt: Screenshot of the worksheet named "logical_coercion" inside the #| "type-me.xlsx" example spreadsheet. The cells in the first column #| (column A) have very mixed contents, such as empty, datetime, or string. #| The cells in the second column (column B) describe the contents of the #| first column in precise language. knitr::include_graphics("img/type-me-logical.png") ``` ### Numeric column A boolean cell is coerced to zero if `FALSE` and one if `TRUE`. A datetime comes in as the underlying serial date, which is the number of days, possibly fractional, since the [date origin](https://learn.microsoft.com/en-US/office/troubleshoot/excel/1900-and-1904-date-system). For text, numeric conversion is attempted, to handle the "number as text" phenomenon. If unsuccessful, text cells import as `NA`. ```{r} df <- read_excel(readxl_example("type-me.xlsx"), sheet = "numeric_coercion", col_types = c("numeric", "text")) print(df, n = Inf) ``` ```{r out.width = '70%', echo = FALSE} #| fig-alt: Screenshot of the worksheet named "numeric_coercion" inside the #| "type-me.xlsx" example spreadsheet. The cells in the first column #| (column A) have very mixed contents, such as empty, datetime, or string. #| The cells in the second column (column B) describe the contents of the #| first column in precise language. knitr::include_graphics("img/type-me-numeric.png") ``` ### Date column A numeric cell is interpreted as a serial date (*I'm questioning whether this is wise, but *). Boolean or text cells become `NA`. ```{r} df <- read_excel(readxl_example("type-me.xlsx"), sheet = "date_coercion", col_types = c("date", "text")) print(df, n = Inf) ``` ```{r out.width = '70%', echo = FALSE} #| fig-alt: Screenshot of the worksheet named "date_coercion" inside the #| "type-me.xlsx" example spreadsheet. The cells in the first column #| (column A) have very mixed contents, such as empty, datetime, or string. #| The cells in the second column (column B) describe the contents of the #| first column in precise language. knitr::include_graphics("img/type-me-date.png") ``` ### Text or character column A boolean cell becomes either `"TRUE"` or `"FALSE"`. A numeric cell is converted to character, much like `as.character()` in R. A date cell is handled like numeric, using the underlying serial value. ```{r} df <- read_excel(readxl_example("type-me.xlsx"), sheet = "text_coercion", col_types = c("text", "text")) print(df, n = Inf) ``` ```{r out.width = '70%', echo = FALSE} #| fig-alt: Screenshot of the worksheet named "text_coercion" inside the #| "type-me.xlsx" example spreadsheet. The cells in the first column #| (column A) have very mixed contents, such as empty, datetime, or string. #| The cells in the second column (column B) describe the contents of the #| first column in precise language. knitr::include_graphics("img/type-me-text.png") ``` readxl/inst/doc/sheet-geometry.html0000644000176200001440000010201514757502114017107 0ustar liggesusers Sheet Geometry

Sheet Geometry

library(readxl)

readxl::read_excel() brings data from a rectangle of cells into R as a data frame or, more specifically, a tibble.

The extent of the data rectangle can be determined in various ways:

  • Discovered: By default, read_excel() uses the smallest rectangle that contains the non-empty cells. It “shrink wraps” the data.
  • Bounded: The skip and n_max arguments constrain read_excel()’s discovery process with respect to rows. At least skip spreadsheet rows will be skipped or ignored and at most n_max spreadsheet rows will be considered as data. Compared to the default of discovery, these arguments can only lead to making the output tibble smaller.
  • Set: The range argument is taken literally, even if that means you will have leading or trailing rows or columns filled with NA. If you ask for range = "A1:D4", you are guaranteed to get a tibble with 4 columns (A through D) and either 3 rows (col_names = TRUE, default) or 4 rows (col_names = FALSE).
  • Mixed: In typical use, read_excel()’s geometry arguments often imply that certain limits are discovered while others are bounded or set. This will be more clear in the concrete examples below.

For now, here are a few ways read_excel() can look when you take control of the geometry:

read_excel("yo.xlsx", skip = 5)
read_excel("yo.xlsx", n_max = 100)
read_excel("yo.xlsx", skip = 5, n_max = 100)
read_excel("yo.xlsx", range = "C1:E7")
read_excel("yo.xlsx", range = cell_rows(6:23))
read_excel("yo.xlsx", range = cell_cols("B:D"))
read_excel("yo.xlsx", range = anchored("C4", dim = c(3, 2)))

Little known Excel facts

readxl’s behavior and interface may be easier to understand if you understand this about Excel:

Cells you can see don’t necessarily exist. Cells that look blank aren’t necessarily so.

Among lots of other information, Excel files obviously must contain information on each cell. Let’s use the word “item” to denote one cell’s-worth of info.

Just because you see a cell on the screen in Excel, that doesn’t mean there’s a corresponding item on file. Why? Because Excel presents a huge gridded canvas for you to write on. Until you actually populate a cell, though, it doesn’t really exist.

The stream of cell items describes the existing cells, going from upper left to lower right, travelling by row. Blank cells simply do not exist in it.

Ah, but what is a blank cell? Some cells appear blank to the naked eye but are not considered so by Excel and, indeed, are represented by a cell item. This happens when a cell has no content but does have an associated format. This format could have been applied directly to a single cell or, more often, indirectly via formatting applied to an entire row or column. Once a human has spent some quality time with a spreadsheet, many seemingly empty cells will bear a format and will thus have an associated cell item.

Implications for readxl

readxl only reads cell items that have content. It ignores cell items that exist strictly to convey formatting.

The tibble returned by readxl will often cover cells that are empty in the spreadsheet, filled with NA. But only because there was some other reason for the associated row or column to exist: actual data or user-specified geometry.

skip and n_max

skip and n_max are the “entry-level” solution for controlling the data rectangle. They work only in the row direction. Column-wise, you’re letting readxl discover which columns are populated.

If you specify range (covered below), skip and n_max are ignored.

n_max

The n_max argument tells read_excel() to read at most n_max rows, once it has found the data rectangle. Note that n_max is specifically about the data. You still use col_names to express whether the first spreadsheet row should be used to create column names (default is TRUE).

n_max = 2 causes us to ignore the last data row – the 3rd one – in geometry.xlsx.

read_excel(readxl_example("geometry.xlsx"), n_max = 2)
#> # A tibble: 2 × 3
#>   B3    C3    D3   
#>   <chr> <chr> <chr>
#> 1 B4    C4    D4   
#> 2 B5    C5    D5

n_max is an upper bound. It will never cause empty rows to be included in the tibble. Note how we get 3 data rows here, even though n_max is much greater.

read_excel(readxl_example("geometry.xlsx"), n_max = 1000)
#> # A tibble: 3 × 3
#>   B3    C3    D3   
#>   <chr> <chr> <chr>
#> 1 B4    C4    D4   
#> 2 B5    C5    D5   
#> 3 B6    C6    D6

range

The range argument is the most flexible way to control geometry and is powered by the cellranger package.

One huge difference from skip and n_max is that range is taken literally! Even if it means the returned tibble will have entire rows or columns consisting of NA.

You can describe cell limits in a variety of ways:

Excel-style range: Specify a fixed rectangle with range = "A1:D4" or range = "R1C1:R4C4". You can even prepend the worksheet name like so: range = "foofy!A1:D4" and it will be passed along to the sheet argument.

The deaths.xlsx example sheet features junk rows both before and after the data rectangle. The payoff for specifying the data rectangle precisely is that we get the data frame we want, with correct guesses for the column types.

read_excel(readxl_example("deaths.xlsx"), range = "arts!A5:F15")
#> # A tibble: 10 × 6
#>   Name       Profession   Age `Has kids` `Date of birth`     `Date of death`    
#>   <chr>      <chr>      <dbl> <lgl>      <dttm>              <dttm>             
#> 1 David Bow… musician      69 TRUE       1947-01-08 00:00:00 2016-01-10 00:00:00
#> 2 Carrie Fi… actor         60 TRUE       1956-10-21 00:00:00 2016-12-27 00:00:00
#> 3 Chuck Ber… musician      90 TRUE       1926-10-18 00:00:00 2017-03-18 00:00:00
#> 4 Bill Paxt… actor         61 TRUE       1955-05-17 00:00:00 2017-02-25 00:00:00
#> # ℹ 6 more rows

We repeat the screenshot of geometry.xlsx as a visual reference.

<img src=“img/geometry.png” alt=“Screenshot of the”geometry.xlsx” example spreadsheet. The cells in the range B3:D6 are populated, each with the string of the cell’s address. For example, the cell B3 contains the string “B3”.” width=“70%” />

Going back to geometry.xlsx, here we specify a rectangle that only partially overlaps the data. Note the use of default column names, because the first row of cells is empty, and the leading column of NAs.

read_excel(readxl_example("geometry.xlsx"), range = "A2:C4")
#> New names:
#> • `` -> `...1`
#> • `` -> `...2`
#> • `` -> `...3`
#> # A tibble: 2 × 3
#>   ...1  ...2  ...3 
#>   <lgl> <chr> <chr>
#> 1 NA    B3    C3   
#> 2 NA    B4    C4

Specific range of rows or columns: Set exact limits on just the rows or just the columns and allow the limits in the other direction to be discovered. Example calls:

## rows only
read_excel(..., range = cell_rows(1:10))
## is equivalent to
read_excel(..., range = cell_rows(c(1, 10)))

## columns only
read_excel(..., range = cell_cols(1:26))
## is equivalent to all of these
read_excel(..., range = cell_cols(c(1, 26)))
read_excel(..., range = cell_cols("A:Z"))
read_excel(..., range = cell_cols(LETTERS))
read_excel(..., range = cell_cols(c("A", "Z"))

We use geometry.xlsx to demonstrate setting hard limits on the rows, running past the data, while allowing column limits to discovered. Note the trailing rows of NA.

read_excel(readxl_example("geometry.xlsx"), range = cell_rows(4:8))
#> # A tibble: 4 × 3
#>   B4    C4    D4   
#>   <chr> <chr> <chr>
#> 1 B5    C5    D5   
#> 2 B6    C6    D6   
#> 3 <NA>  <NA>  <NA> 
#> 4 <NA>  <NA>  <NA>

Anchored rectangle: Helper functions anchored() and cell_limits() let you specify limits via the corner(s) of the rectangle.

Here we get a 3 by 4 rectangle with cell C5 as the upper left corner:

read_excel(
  readxl_example("geometry.xlsx"),
  col_names = paste("var", 1:4, sep = "_"),
  range = anchored("C5", c(3, 4))
)
#> # A tibble: 3 × 4
#>   var_1 var_2 var_3 var_4
#>   <chr> <chr> <lgl> <lgl>
#> 1 C5    D5    NA    NA   
#> 2 C6    D6    NA    NA   
#> 3 <NA>  <NA>  NA    NA

Here we set C5 as the upper left corner and allow the other limits to be discovered:

read_excel(
  readxl_example("geometry.xlsx"),
  col_names = FALSE,
  range = cell_limits(c(5, 3), c(NA, NA))
)
#> New names:
#> • `` -> `...1`
#> • `` -> `...2`
#> # A tibble: 2 × 2
#>   ...1  ...2 
#>   <chr> <chr>
#> 1 C5    D5   
#> 2 C6    D6
readxl/inst/doc/cell-and-column-types.html0000644000176200001440000013260514757502112020270 0ustar liggesusers Cell and Column Types

Cell and Column Types

library(readxl)

readxl::read_excel() will guess column types, by default, or you can provide them explicitly via the col_types argument. The col_types argument is more flexible than you might think; you can mix actual types in with "skip" and "guess" and a single type will be recycled to the necessary length.

Here are different ways this might look:

read_excel("yo.xlsx")
read_excel("yo.xlsx", col_types = "numeric")
read_excel("yo.xlsx", col_types = c("date", "skip", "guess", "numeric"))

Type guessing

If you use other packages in the tidyverse, you are probably familiar with readr, which reads data from flat files. Like readxl, readr also provides column type guessing, but readr and readxl are very different under the hood.

  • readr guesses column type based on the data.
  • readxl guesses column type based on Excel cell types.

Each cell in an Excel spreadsheet has its own type. For all intents and purposes, they are:

       empty < boolean < numeric < text

with the wrinkle that datetimes are a very special flavor of numeric. A cell of any particular type can always be represented as one of any higher type and, possibly, as one of lower type. When guessing, read_excel() keeps a running “maximum” on the cell types it has seen in any given column. Once it has visited guess_max rows or run out of data, this is the guessed type for that column. There is a strong current towards “text”, the column type of last resort.

Here’s an example of column guessing with deaths.xlsx which ships with readxl.

read_excel(readxl_example("deaths.xlsx"), range = cell_rows(5:15))
#> # A tibble: 10 × 6
#>   Name       Profession   Age `Has kids` `Date of birth`     `Date of death`    
#>   <chr>      <chr>      <dbl> <lgl>      <dttm>              <dttm>             
#> 1 David Bow… musician      69 TRUE       1947-01-08 00:00:00 2016-01-10 00:00:00
#> 2 Carrie Fi… actor         60 TRUE       1956-10-21 00:00:00 2016-12-27 00:00:00
#> 3 Chuck Ber… musician      90 TRUE       1926-10-18 00:00:00 2017-03-18 00:00:00
#> 4 Bill Paxt… actor         61 TRUE       1955-05-17 00:00:00 2017-02-25 00:00:00
#> # ℹ 6 more rows

Excel types, R types, col_types

Here’s how the Excel cell/column types are translated into R types and how to force the type explicitly in col_types:

How it is in Excel How it will be in R How to request in col_types
anything non-existent "skip"
empty logical, but all NA you cannot request this
boolean logical "logical"
numeric numeric "numeric"
datetime POSIXct "date"
text character "text"
anything list "list"

Some explanation about the weird cases in the first two rows:

  • If a column falls in your data rectangle, but you do not want an associated variable in the output, specify the column type "skip". Internally, these cells may be visited in order to learn their location, but they are not loaded and their data is never read.
  • You cannot request that a column be included but filled with NAs. Such a column can arise naturally, if all the cells are empty, or you can skip a column (see previous point).

Example of skipping and guessing:

read_excel(
  readxl_example("deaths.xlsx"),
  range = cell_rows(5:15),
  col_types = c("guess", "skip", "guess", "skip", "skip", "skip")
)
#> # A tibble: 10 × 2
#>   Name            Age
#>   <chr>         <dbl>
#> 1 David Bowie      69
#> 2 Carrie Fisher    60
#> 3 Chuck Berry      90
#> 4 Bill Paxton      61
#> # ℹ 6 more rows

More about the "list" column type in the last row:

  • This will create a list-column in the output, each component of which is a length one atomic vector. The type of these vectors is determined using the logic described above. This can be useful if data of truly disparate type is arranged in a column.

We demonstrate the "list" column type using the clippy.xlsx sheet that ship with Excel. Its second column holds information about Clippy that would be really hard to store with just one type.

(clippy <- 
   read_excel(readxl_example("clippy.xlsx"), col_types = c("text", "list")))
#> # A tibble: 4 × 2
#>   name                 value     
#>   <chr>                <list>    
#> 1 Name                 <chr [1]> 
#> 2 Species              <chr [1]> 
#> 3 Approx date of death <dttm [1]>
#> 4 Weight in grams      <dbl [1]>
tibble::deframe(clippy)
#> $Name
#> [1] "Clippy"
#> 
#> $Species
#> [1] "paperclip"
#> 
#> $`Approx date of death`
#> [1] "2007-01-01 UTC"
#> 
#> $`Weight in grams`
#> [1] 0.9
sapply(clippy$value, class)
#> [[1]]
#> [1] "character"
#> 
#> [[2]]
#> [1] "character"
#> 
#> [[3]]
#> [1] "POSIXct" "POSIXt" 
#> 
#> [[4]]
#> [1] "numeric"

Final note: all datetimes are imported as having the UTC timezone, because, mercifully, Excel has no notion of timezones.

When column guessing goes wrong

It’s pretty common to expect a column to import as, say, numeric or datetime. And to then be sad when it imports as character instead. Two main causes:

Contamination by embedded missing or bad data of incompatible type. Example: missing data entered as ?? in a numeric column.

  • Fix: use the na argument of read_excel() to describe all possible forms for missing data. This should prevent such cells from influencing type guessing and cause them to import as NA of the appropriate type.

Contamination of the data rectangle by leading or trailing non-data rows. Example: the sheet contains a few lines of explanatory prose before the data table begins.

  • Fix: specify the target rectangle. Use skip and n_max to provide a minimum number of rows to skip and a maximum number of data rows to read, respectively. Or use the more powerful range argument to describe the cell rectangle in various ways. See the examples for read_excel() help or vignette("sheet-geometry") for more detail.

The deaths.xlsx sheet demonstrates this perfectly. Here’s how it imports if we don’t specify range as we did above:

deaths <- read_excel(readxl_example("deaths.xlsx"))
#> New names:
#> • `` -> `...2`
#> • `` -> `...3`
#> • `` -> `...4`
#> • `` -> `...5`
#> • `` -> `...6`
print(deaths, n = Inf)
#> # A tibble: 18 × 6
#>    `Lots of people`             ...2                     ...3  ...4  ...5  ...6 
#>    <chr>                        <chr>                    <chr> <chr> <chr> <chr>
#>  1 simply cannot resist writing <NA>                     <NA>  <NA>  <NA>  some…
#>  2 at                           the                      top   <NA>  of    thei…
#>  3 or                           merging                  <NA>  <NA>  <NA>  cells
#>  4 Name                         Profession               Age   Has … Date… Date…
#>  5 David Bowie                  musician                 69    TRUE  17175 42379
#>  6 Carrie Fisher                actor                    60    TRUE  20749 42731
#>  7 Chuck Berry                  musician                 90    TRUE  9788  42812
#>  8 Bill Paxton                  actor                    61    TRUE  20226 42791
#>  9 Prince                       musician                 57    TRUE  21343 42481
#> 10 Alan Rickman                 actor                    69    FALSE 16854 42383
#> 11 Florence Henderson           actor                    82    TRUE  12464 42698
#> 12 Harper Lee                   author                   89    FALSE 9615  42419
#> 13 Zsa Zsa Gábor                actor                    99    TRUE  6247  42722
#> 14 George Michael               musician                 53    FALSE 23187 42729
#> 15 Some                         <NA>                     <NA>  <NA>  <NA>  <NA> 
#> 16 <NA>                         also like to write stuff <NA>  <NA>  <NA>  <NA> 
#> 17 <NA>                         <NA>                     at t… bott… <NA>  <NA> 
#> 18 <NA>                         <NA>                     <NA>  <NA>  <NA>  too!

Non-data rows above and below the main data rectangle are causing all the columns to import as character.

If your column typing problem can’t be solved by specifying na or the data rectangle, request the "list" column type and handle missing data and coercion after import.

Peek at column names

Sometimes you aren’t completely sure of column count or order, and yet you need to provide some information via col_types. For example, you might know that the column named “foofy” should be text, but you’re not sure where it appears. Or maybe you want to ensure that lots of empty cells at the top of “foofy” don’t cause it to be guessed as logical.

Here’s an efficient trick to get the column names, so you can programmatically build the col_types vector you need for your main reading of the Excel file. Let’s imagine I want to force the columns whose names include “Petal” to be text, but leave everything else to be guessed.

(nms <- names(read_excel(readxl_example("datasets.xlsx"), n_max = 0)))
#>  [1] "mpg"  "cyl"  "disp" "hp"   "drat" "wt"   "qsec" "vs"   "am"   "gear"
#> [11] "carb"
(ct <- ifelse(grepl("^Petal", nms), "text", "guess"))
#>  [1] "guess" "guess" "guess" "guess" "guess" "guess" "guess" "guess" "guess"
#> [10] "guess" "guess"
read_excel(readxl_example("datasets.xlsx"), col_types = ct)
#> # A tibble: 32 × 11
#>     mpg   cyl  disp    hp  drat    wt  qsec    vs    am  gear  carb
#>   <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1  21       6   160   110  3.9   2.62  16.5     0     1     4     4
#> 2  21       6   160   110  3.9   2.88  17.0     0     1     4     4
#> 3  22.8     4   108    93  3.85  2.32  18.6     1     1     4     1
#> 4  21.4     6   258   110  3.08  3.22  19.4     1     0     3     1
#> # ℹ 28 more rows

Square pegs in round holes

You can force a column to have a specific type via col_types. So what happens to cells of another type? They will either be coerced to the requested type or to an NA of appropriate type.

For each column type, below we present a screen shot of a sheet from the built-in example type-me.xlsx. We force the first column to have a specific type and the second column explains what is in the first. You’ll see how mismatches between cell type and column type are resolved.

Logical column

A numeric cell is coerced to FALSE if it is zero and TRUE otherwise. A date cell becomes NA. Just like in R, the strings “T”, “TRUE”, “True”, and “true” are regarded as TRUE and “F”, “FALSE”, “False”, “false” as FALSE. Other strings import as NA.

df <- read_excel(readxl_example("type-me.xlsx"), sheet = "logical_coercion",
                 col_types = c("logical", "text"))
#> Warning: Expecting logical in A5 / R5C1: got a date
#> Warning: Expecting logical in A8 / R8C1: got 'cabbage'
print(df, n = Inf)
#> # A tibble: 10 × 2
#>    `maybe boolean?` description                         
#>    <lgl>            <chr>                               
#>  1 NA               "empty"                             
#>  2 FALSE            "0 (numeric)"                       
#>  3 TRUE             "1 (numeric)"                       
#>  4 NA               "datetime"                          
#>  5 TRUE             "boolean true"                      
#>  6 FALSE            "boolean false"                     
#>  7 NA               "\"cabbage\""                       
#>  8 TRUE             "the string \"true\""               
#>  9 FALSE            "the letter \"F\""                  
#> 10 FALSE            "\"False\" preceded by single quote"

<img src=“img/type-me-logical.png” alt=“Screenshot of the worksheet named”logical_coercion” inside the “type-me.xlsx” example spreadsheet. The cells in the first column (column A) have very mixed contents, such as empty, datetime, or string. The cells in the second column (column B) describe the contents of the first column in precise language.” width=“70%” />

Numeric column

A boolean cell is coerced to zero if FALSE and one if TRUE. A datetime comes in as the underlying serial date, which is the number of days, possibly fractional, since the date origin. For text, numeric conversion is attempted, to handle the “number as text” phenomenon. If unsuccessful, text cells import as NA.

df <- read_excel(readxl_example("type-me.xlsx"), sheet = "numeric_coercion",
                 col_types = c("numeric", "text"))
#> Warning: Coercing boolean to numeric in A3 / R3C1
#> Warning: Coercing boolean to numeric in A4 / R4C1
#> Warning: Expecting numeric in A5 / R5C1: got a date
#> Warning: Coercing text to numeric in A6 / R6C1: '123456'
#> Warning: Expecting numeric in A8 / R8C1: got 'cabbage'
print(df, n = Inf)
#> # A tibble: 7 × 2
#>   `maybe numeric?` explanation            
#>              <dbl> <chr>                  
#> 1               NA "empty"                
#> 2                1 "boolean true"         
#> 3                0 "boolean false"        
#> 4            40534 "datetime"             
#> 5           123456 "the string \"123456\""
#> 6           123456 "the number 123456"    
#> 7               NA "\"cabbage\""

<img src=“img/type-me-numeric.png” alt=“Screenshot of the worksheet named”numeric_coercion” inside the “type-me.xlsx” example spreadsheet. The cells in the first column (column A) have very mixed contents, such as empty, datetime, or string. The cells in the second column (column B) describe the contents of the first column in precise language.” width=“70%” />

Date column

A numeric cell is interpreted as a serial date (I’m questioning whether this is wise, but https://github.com/tidyverse/readxl/issues/266). Boolean or text cells become NA.

df <- read_excel(readxl_example("type-me.xlsx"), sheet = "date_coercion",
                 col_types = c("date", "text"))
#> Warning: Expecting date in A5 / R5C1: got boolean
#> Warning: Expecting date in A6 / R6C1: got 'cabbage'
#> Warning: Coercing numeric to date in A7 / R7C1
#> Warning: Coercing numeric to date in A8 / R8C1
print(df, n = Inf)
#> # A tibble: 7 × 2
#>   `maybe a datetime?` explanation           
#>   <dttm>              <chr>                 
#> 1 NA                  "empty"               
#> 2 2016-05-23 00:00:00 "date only format"    
#> 3 2016-04-28 11:30:00 "date and time format"
#> 4 NA                  "boolean true"        
#> 5 NA                  "\"cabbage\""         
#> 6 1904-01-05 07:12:00 "4.3 (numeric)"       
#> 7 2012-01-02 00:00:00 "another numeric"

<img src=“img/type-me-date.png” alt=“Screenshot of the worksheet named”date_coercion” inside the “type-me.xlsx” example spreadsheet. The cells in the first column (column A) have very mixed contents, such as empty, datetime, or string. The cells in the second column (column B) describe the contents of the first column in precise language.” width=“70%” />

Text or character column

A boolean cell becomes either "TRUE" or "FALSE". A numeric cell is converted to character, much like as.character() in R. A date cell is handled like numeric, using the underlying serial value.

df <- read_excel(readxl_example("type-me.xlsx"), sheet = "text_coercion",
                 col_types = c("text", "text"))
print(df, n = Inf)
#> # A tibble: 6 × 2
#>   text     explanation      
#>   <chr>    <chr>            
#> 1 <NA>     "empty"          
#> 2 cabbage  "\"cabbage\""    
#> 3 TRUE     "boolean true"   
#> 4 1.3      "numeric"        
#> 5 41175    "datetime"       
#> 6 36436153 "another numeric"

<img src=“img/type-me-text.png” alt=“Screenshot of the worksheet named”text_coercion” inside the “type-me.xlsx” example spreadsheet. The cells in the first column (column A) have very mixed contents, such as empty, datetime, or string. The cells in the second column (column B) describe the contents of the first column in precise language.” width=“70%” />

readxl/inst/doc/cell-and-column-types.R0000644000176200001440000000563114757502112017523 0ustar liggesusers## ----include = FALSE---------------------------------------------------------- knitr::opts_chunk$set( collapse = TRUE, comment = "#>" ) options(tibble.print_min = 4, tibble.print_max = 4) ## ----setup-------------------------------------------------------------------- library(readxl) ## ----eval = FALSE------------------------------------------------------------- # read_excel("yo.xlsx") # read_excel("yo.xlsx", col_types = "numeric") # read_excel("yo.xlsx", col_types = c("date", "skip", "guess", "numeric")) ## ----------------------------------------------------------------------------- read_excel(readxl_example("deaths.xlsx"), range = cell_rows(5:15)) ## ----------------------------------------------------------------------------- read_excel( readxl_example("deaths.xlsx"), range = cell_rows(5:15), col_types = c("guess", "skip", "guess", "skip", "skip", "skip") ) ## ----------------------------------------------------------------------------- (clippy <- read_excel(readxl_example("clippy.xlsx"), col_types = c("text", "list"))) tibble::deframe(clippy) sapply(clippy$value, class) ## ----------------------------------------------------------------------------- deaths <- read_excel(readxl_example("deaths.xlsx")) print(deaths, n = Inf) ## ----------------------------------------------------------------------------- (nms <- names(read_excel(readxl_example("datasets.xlsx"), n_max = 0))) (ct <- ifelse(grepl("^Petal", nms), "text", "guess")) read_excel(readxl_example("datasets.xlsx"), col_types = ct) ## ----------------------------------------------------------------------------- df <- read_excel(readxl_example("type-me.xlsx"), sheet = "logical_coercion", col_types = c("logical", "text")) print(df, n = Inf) ## ----out.width = '70%', echo = FALSE------------------------------------------ knitr::include_graphics("img/type-me-logical.png") ## ----------------------------------------------------------------------------- df <- read_excel(readxl_example("type-me.xlsx"), sheet = "numeric_coercion", col_types = c("numeric", "text")) print(df, n = Inf) ## ----out.width = '70%', echo = FALSE------------------------------------------ knitr::include_graphics("img/type-me-numeric.png") ## ----------------------------------------------------------------------------- df <- read_excel(readxl_example("type-me.xlsx"), sheet = "date_coercion", col_types = c("date", "text")) print(df, n = Inf) ## ----out.width = '70%', echo = FALSE------------------------------------------ knitr::include_graphics("img/type-me-date.png") ## ----------------------------------------------------------------------------- df <- read_excel(readxl_example("type-me.xlsx"), sheet = "text_coercion", col_types = c("text", "text")) print(df, n = Inf) ## ----out.width = '70%', echo = FALSE------------------------------------------ knitr::include_graphics("img/type-me-text.png") readxl/inst/extdata/0000755000176200001440000000000014752725650014155 5ustar liggesusersreadxl/inst/extdata/datasets.xls0000644000176200001440000031600014752725650016515 0ustar liggesusersࡱ>  ZO\p Fonti Kar Ba==p`@8X@"1Calibri1Verdana1Verdana1Verdana1Calibri1Verdana1*h8 Aptos Display1(,8 Aptos Narrow1(8 Aptos Narrow1(8 Aptos Narrow1( Aptos Narrow1( Aptos Narrow1(< Aptos Narrow1(> Aptos Narrow1(? 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Z3dxl/worksheets/sheet2.xmlPK-!ㄳxl/worksheets/sheet3.xmlPK-!IOJCxl/worksheets/sheet1.xmlPK- !KZ4@@docProps/thumbnail.jpegPK-!`ݮhXxl/sharedStrings.xmlPK-!{֩^Zxl/theme/theme1.xmlPK-!nٔa oaxl/styles.xmlPK-!{i.d.ddocProps/app.xmlPK-!]/s_tgdocProps/core.xmlPK-!oJixl/calcChain.xmlPKxjreadxl/inst/WORDLIST0000644000176200001440000000120414343565124013704 0ustar liggesusersBoolErr CMD CVE CVEs CentOS Cheatsheet Christophe Clippy Codecov Coercions Hoerl JMP Komarov Leitienne ORCID POSIXct RapidXML Rcpp Reproducibility SHA SpreadsheetML backtick behaviour cellranger chartsheets cheatsheet colours conformant cpp csv datetime datetimes dll dplyr epplussoftware foofy funder gcc gdata ggplot github googlesheets gridded https ish knitr libxls libxlsxwriter lifecycle metapackage minimalistic openxlsx pre programmatically purrr rapidxml's readr readxl's reproducibility rmarkdown targetting tibble tidyverse tidyxl timezones travelling unicode unskipped vulnerabilitities workspaces writexl www xls xlsReadWrite xlsx readxl/README.md0000644000176200001440000002276514757465643013051 0ustar liggesusers # readxl [![CRAN_Status_Badge](https://www.r-pkg.org/badges/version/readxl)](https://cran.r-project.org/package=readxl) [![R-CMD-check](https://github.com/tidyverse/readxl/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/tidyverse/readxl/actions/workflows/R-CMD-check.yaml) [![Codecov test coverage](https://codecov.io/gh/tidyverse/readxl/branch/main/graph/badge.svg)](https://app.codecov.io/gh/tidyverse/readxl?branch=main) [![lifecycle](https://img.shields.io/badge/lifecycle-stable-brightgreen.svg)](https://lifecycle.r-lib.org/articles/stages.html) ## Overview The readxl package makes it easy to get data out of Excel and into R. Compared to many of the existing packages (e.g. gdata, xlsx, xlsReadWrite) readxl has no external dependencies, so it’s easy to install and use on all operating systems. It is designed to work with *tabular* data. readxl supports both the legacy `.xls` format and the modern xml-based `.xlsx` format. The [libxls](https://github.com/libxls/libxls) C library is used to support `.xls`, which abstracts away many of the complexities of the underlying binary format. To parse `.xlsx`, we use the [RapidXML](https://rapidxml.sourceforge.net/) C++ library. ## Installation The easiest way to install the latest released version from CRAN is to install the whole tidyverse. ``` r install.packages("tidyverse") ``` NOTE: you will still need to load readxl explicitly, because it is not a core tidyverse package loaded via `library(tidyverse)`. Alternatively, install just readxl from CRAN: ``` r install.packages("readxl") ``` Or install the development version from GitHub: ``` r #install.packages("pak") pak::pak("tidyverse/readxl") ``` ## Cheatsheet You can see how to read data with readxl in the **data import cheatsheet**, which also covers similar functionality in the related packages readr and googlesheets4. ## Usage ``` r library(readxl) ``` readxl includes several example files, which we use throughout the documentation. Use the helper `readxl_example()` with no arguments to list them or call it with an example filename to get the path. ``` r readxl_example() #> [1] "clippy.xls" "clippy.xlsx" "datasets.xls" "datasets.xlsx" #> [5] "deaths.xls" "deaths.xlsx" "geometry.xls" "geometry.xlsx" #> [9] "type-me.xls" "type-me.xlsx" readxl_example("clippy.xls") #> [1] "/private/tmp/Rtmpzymw54/temp_libpath117f779f0191c/readxl/extdata/clippy.xls" ``` `read_excel()` reads both xls and xlsx files and detects the format from the extension. ``` r xlsx_example <- readxl_example("datasets.xlsx") read_excel(xlsx_example) #> # A tibble: 32 × 11 #> mpg cyl disp hp drat wt qsec vs am gear carb #> #> 1 21 6 160 110 3.9 2.62 16.5 0 1 4 4 #> 2 21 6 160 110 3.9 2.88 17.0 0 1 4 4 #> 3 22.8 4 108 93 3.85 2.32 18.6 1 1 4 1 #> # ℹ 29 more rows xls_example <- readxl_example("datasets.xls") read_excel(xls_example) #> # A tibble: 32 × 11 #> mpg cyl disp hp drat wt qsec vs am gear carb #> #> 1 21 6 160 110 3.9 2.62 16.5 0 1 4 4 #> 2 21 6 160 110 3.9 2.88 17.0 0 1 4 4 #> 3 22.8 4 108 93 3.85 2.32 18.6 1 1 4 1 #> # ℹ 29 more rows ``` List the sheet names with `excel_sheets()`. ``` r excel_sheets(xlsx_example) #> [1] "mtcars" "chickwts" "quakes" ``` Specify a worksheet by name or number. ``` r read_excel(xlsx_example, sheet = "chickwts") #> # A tibble: 71 × 2 #> weight feed #> #> 1 179 horsebean #> 2 160 horsebean #> 3 136 horsebean #> # ℹ 68 more rows read_excel(xls_example, sheet = 3) #> # A tibble: 1,000 × 5 #> lat long depth mag stations #> #> 1 -20.4 182. 562 4.8 41 #> 2 -20.6 181. 650 4.2 15 #> 3 -26 184. 42 5.4 43 #> # ℹ 997 more rows ``` There are various ways to control which cells are read. You can even specify the sheet here, if providing an Excel-style cell range. ``` r read_excel(xlsx_example, n_max = 3) #> # A tibble: 3 × 11 #> mpg cyl disp hp drat wt qsec vs am gear carb #> #> 1 21 6 160 110 3.9 2.62 16.5 0 1 4 4 #> 2 21 6 160 110 3.9 2.88 17.0 0 1 4 4 #> 3 22.8 4 108 93 3.85 2.32 18.6 1 1 4 1 read_excel(xlsx_example, range = "C1:E4") #> # A tibble: 3 × 3 #> disp hp drat #> #> 1 160 110 3.9 #> 2 160 110 3.9 #> 3 108 93 3.85 read_excel(xlsx_example, range = cell_rows(1:4)) #> # A tibble: 3 × 11 #> mpg cyl disp hp drat wt qsec vs am gear carb #> #> 1 21 6 160 110 3.9 2.62 16.5 0 1 4 4 #> 2 21 6 160 110 3.9 2.88 17.0 0 1 4 4 #> 3 22.8 4 108 93 3.85 2.32 18.6 1 1 4 1 read_excel(xlsx_example, range = cell_cols("B:D")) #> # A tibble: 32 × 3 #> cyl disp hp #> #> 1 6 160 110 #> 2 6 160 110 #> 3 4 108 93 #> # ℹ 29 more rows read_excel(xlsx_example, range = "mtcars!B1:D5") #> # A tibble: 4 × 3 #> cyl disp hp #> #> 1 6 160 110 #> 2 6 160 110 #> 3 4 108 93 #> # ℹ 1 more row ``` If `NA`s are represented by something other than blank cells, set the `na` argument. ``` r read_excel(xlsx_example, na = "0") #> # A tibble: 32 × 11 #> mpg cyl disp hp drat wt qsec vs am gear carb #> #> 1 21 6 160 110 3.9 2.62 16.5 NA 1 4 4 #> 2 21 6 160 110 3.9 2.88 17.0 NA 1 4 4 #> 3 22.8 4 108 93 3.85 2.32 18.6 1 1 4 1 #> # ℹ 29 more rows ``` If you are new to the tidyverse conventions for data import, you may want to consult the [data import chapter](https://r4ds.had.co.nz/data-import.html) in R for Data Science. readxl will become increasingly consistent with other packages, such as [readr](https://readr.tidyverse.org/). ## Articles Broad topics are explained in [these articles](https://readxl.tidyverse.org/articles/index.html): - [Cell and Column Types](https://readxl.tidyverse.org/articles/cell-and-column-types.html) - [Sheet Geometry](https://readxl.tidyverse.org/articles/sheet-geometry.html): how to specify which cells to read - [readxl Workflows](https://readxl.tidyverse.org/articles/articles/readxl-workflows.html): Iterating over multiple tabs or worksheets, stashing a csv snapshot We also have some focused articles that address specific aggravations presented by the world’s spreadsheets: - [Column Names](https://readxl.tidyverse.org/articles/articles/column-names.html) - [Multiple Header Rows](https://readxl.tidyverse.org/articles/articles/multiple-header-rows.html) ## Features - No external dependency on, e.g., Java or Perl. - Re-encodes non-ASCII characters to UTF-8. - Loads datetimes into POSIXct columns. Both Windows (1900) and Mac (1904) date specifications are processed correctly. - Discovers the minimal data rectangle and returns that, by default. User can exert more control with `range`, `skip`, and `n_max`. - Column names and types are determined from the data in the sheet, by default. User can also supply via `col_names` and `col_types` and control name repair via `.name_repair`. - Returns a [tibble](https://tibble.tidyverse.org/reference/tibble.html), i.e. a data frame with an additional `tbl_df` class. Among other things, this provide nicer printing. ## Other relevant packages Here are some other packages with functionality that is complementary to readxl and that also avoid a Java dependency. **Writing Excel files**: The example files `datasets.xlsx` and `datasets.xls` were created with the help of [openxlsx](https://CRAN.R-project.org/package=openxlsx) (and Excel). openxlsx provides “a high level interface to writing, styling and editing worksheets”. ``` r l <- list(mtcars = mtcars, chickwts = chickwts, quakes = quakes) openxlsx::write.xlsx(l, file = "inst/extdata/datasets.xlsx") ``` [writexl](https://cran.r-project.org/package=writexl) is a new option in this space, first released on CRAN in August 2017. It’s a portable and lightweight way to export a data frame to xlsx, based on [libxlsxwriter](https://github.com/jmcnamara/libxlsxwriter). It is much more minimalistic than openxlsx, but on simple examples, appears to be about twice as fast and to write smaller files. **Non-tabular data and formatting**: [tidyxl](https://cran.r-project.org/package=tidyxl) is focused on importing awkward and non-tabular data from Excel. It also “exposes cell content, position and formatting in a tidy structure for further manipulation”. readxl/build/0000755000176200001440000000000014757502114012636 5ustar liggesusersreadxl/build/vignette.rds0000644000176200001440000000037314757502114015200 0ustar liggesusersuP0Dc$Q^XŤ5_n5Bvwfgv! eдV81F#WdH#T, {H[h᠅.-P$NLU؍%U7YisZ+:ʯQUdO@⛘V=QE=d8h/O7xE7'MDTP/ 8 readxl/man/0000755000176200001440000000000014752732171012315 5ustar liggesusersreadxl/man/read_excel.Rd0000644000176200001440000001372014752725650014706 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/read_excel.R \name{read_excel} \alias{read_excel} \alias{read_xls} \alias{read_xlsx} \title{Read xls and xlsx files} \usage{ read_excel( path, sheet = NULL, range = NULL, col_names = TRUE, col_types = NULL, na = "", trim_ws = TRUE, skip = 0, n_max = Inf, guess_max = min(1000, n_max), progress = readxl_progress(), .name_repair = "unique" ) read_xls( path, sheet = NULL, range = NULL, col_names = TRUE, col_types = NULL, na = "", trim_ws = TRUE, skip = 0, n_max = Inf, guess_max = min(1000, n_max), progress = readxl_progress(), .name_repair = "unique" ) read_xlsx( path, sheet = NULL, range = NULL, col_names = TRUE, col_types = NULL, na = "", trim_ws = TRUE, skip = 0, n_max = Inf, guess_max = min(1000, n_max), progress = readxl_progress(), .name_repair = "unique" ) } \arguments{ \item{path}{Path to the xls/xlsx file.} \item{sheet}{Sheet to read. Either a string (the name of a sheet), or an integer (the position of the sheet). Ignored if the sheet is specified via \code{range}. If neither argument specifies the sheet, defaults to the first sheet.} \item{range}{A cell range to read from, as described in \link{cell-specification}. Includes typical Excel ranges like "B3:D87", possibly including the sheet name like "Budget!B2:G14", and more. Interpreted strictly, even if the range forces the inclusion of leading or trailing empty rows or columns. Takes precedence over \code{skip}, \code{n_max} and \code{sheet}.} \item{col_names}{\code{TRUE} to use the first row as column names, \code{FALSE} to get default names, or a character vector giving a name for each column. If user provides \code{col_types} as a vector, \code{col_names} can have one entry per column, i.e. have the same length as \code{col_types}, or one entry per unskipped column.} \item{col_types}{Either \code{NULL} to guess all from the spreadsheet or a character vector containing one entry per column from these options: "skip", "guess", "logical", "numeric", "date", "text" or "list". If exactly one \code{col_type} is specified, it will be recycled. The content of a cell in a skipped column is never read and that column will not appear in the data frame output. A list cell loads a column as a list of length 1 vectors, which are typed using the type guessing logic from \code{col_types = NULL}, but on a cell-by-cell basis.} \item{na}{Character vector of strings to interpret as missing values. By default, readxl treats blank cells as missing data.} \item{trim_ws}{Should leading and trailing whitespace be trimmed?} \item{skip}{Minimum number of rows to skip before reading anything, be it column names or data. Leading empty rows are automatically skipped, so this is a lower bound. Ignored if \code{range} is given.} \item{n_max}{Maximum number of data rows to read. Trailing empty rows are automatically skipped, so this is an upper bound on the number of rows in the returned tibble. Ignored if \code{range} is given.} \item{guess_max}{Maximum number of data rows to use for guessing column types.} \item{progress}{Display a progress spinner? By default, the spinner appears only in an interactive session, outside the context of knitting a document, and when the call is likely to run for several seconds or more. See \code{\link[=readxl_progress]{readxl_progress()}} for more details.} \item{.name_repair}{Handling of column names. Passed along to \code{\link[tibble:as_tibble]{tibble::as_tibble()}}. readxl's default is `.name_repair = "unique", which ensures column names are not empty and are unique.} } \value{ A \link[tibble:tibble-package]{tibble} } \description{ Read xls and xlsx files \code{read_excel()} calls \code{\link[=excel_format]{excel_format()}} to determine if \code{path} is xls or xlsx, based on the file extension and the file itself, in that order. Use \code{read_xls()} and \code{read_xlsx()} directly if you know better and want to prevent such guessing. } \examples{ datasets <- readxl_example("datasets.xlsx") read_excel(datasets) # Specify sheet either by position or by name read_excel(datasets, 2) read_excel(datasets, "mtcars") # Skip rows and use default column names read_excel(datasets, skip = 10, col_names = FALSE) # Recycle a single column type read_excel(datasets, col_types = "text") # Specify some col_types and guess others read_excel( readxl_example("deaths.xlsx"), skip = 4, n_max = 10, col_names = TRUE, col_types = c("text", "text", "guess", "guess", "guess", "guess") ) # Accomodate a column with disparate types via col_type = "list" df <- read_excel(readxl_example("clippy.xlsx"), col_types = c("text", "list")) df df$value sapply(df$value, class) # Limit the number of data rows read read_excel(datasets, n_max = 3) # Read from an Excel range using A1 or R1C1 notation read_excel(datasets, range = "C1:E7") read_excel(datasets, range = "R1C2:R2C5") # Specify the sheet as part of the range read_excel(datasets, range = "mtcars!B1:D5") # Read only specific rows or columns read_excel(datasets, range = cell_rows(102:151), col_names = FALSE) read_excel(datasets, range = cell_cols("B:D")) # Get a preview of column names names(read_excel(readxl_example("datasets.xlsx"), n_max = 0)) # exploit full .name_repair flexibility from tibble # "universal" names are unique and syntactic read_excel( readxl_example("deaths.xlsx"), range = "arts!A5:F15", .name_repair = "universal" ) # specify name repair as a built-in function read_excel(readxl_example("clippy.xlsx"), .name_repair = toupper) # specify name repair as a custom function my_custom_name_repair <- function(nms) tolower(gsub("[.]", "_", nms)) read_excel( readxl_example("datasets.xlsx"), .name_repair = my_custom_name_repair ) # specify name repair as an anonymous function read_excel( readxl_example("datasets.xlsx"), sheet = "chickwts", .name_repair = ~ substr(.x, start = 1, stop = 3) ) } \seealso{ \link{cell-specification} for more details on targetting cells with the \code{range} argument } readxl/man/readxl-package.Rd0000644000176200001440000000332714371031222015443 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/readxl-package.R \docType{package} \name{readxl-package} \alias{readxl} \alias{readxl-package} \title{readxl: Read Excel Files} \description{ \if{html}{\figure{logo.png}{options: style='float: right' alt='logo' width='120'}} Import excel files into R. Supports '.xls' via the embedded 'libxls' C library \url{https://github.com/libxls/libxls} and '.xlsx' via the embedded 'RapidXML' C++ library \url{https://rapidxml.sourceforge.net/}. Works on Windows, Mac and Linux without external dependencies. } \seealso{ Useful links: \itemize{ \item \url{https://readxl.tidyverse.org} \item \url{https://github.com/tidyverse/readxl} \item Report bugs at \url{https://github.com/tidyverse/readxl/issues} } } \author{ \strong{Maintainer}: Jennifer Bryan \email{jenny@posit.co} (\href{https://orcid.org/0000-0002-6983-2759}{ORCID}) Authors: \itemize{ \item Hadley Wickham \email{hadley@posit.co} (\href{https://orcid.org/0000-0003-4757-117X}{ORCID}) } Other contributors: \itemize{ \item Posit, PBC (Copyright holder of all R code and all C/C++ code without explicit copyright attribution) [copyright holder, funder] \item Marcin Kalicinski (Author of included RapidXML code) [contributor, copyright holder] \item Komarov Valery (Author of included libxls code) [contributor, copyright holder] \item Christophe Leitienne (Author of included libxls code) [contributor, copyright holder] \item Bob Colbert (Author of included libxls code) [contributor, copyright holder] \item David Hoerl (Author of included libxls code) [contributor, copyright holder] \item Evan Miller (Author of included libxls code) [contributor, copyright holder] } } \keyword{internal} readxl/man/readxl_example.Rd0000644000176200001440000000076213070523305015570 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/example.R \name{readxl_example} \alias{readxl_example} \title{Get path to readxl example} \usage{ readxl_example(path = NULL) } \arguments{ \item{path}{Name of file. If \code{NULL}, the example files will be listed.} } \description{ readxl comes bundled with some example files in its \code{inst/extdata} directory. This function make them easy to access. } \examples{ readxl_example() readxl_example("datasets.xlsx") } readxl/man/readxl_progress.Rd0000644000176200001440000000143113406506420015775 0ustar liggesusers% Generated by roxygen2: do not edit by hand % Please edit documentation in R/progress.R \name{readxl_progress} \alias{readxl_progress} \title{Determine whether to show progress spinner} \usage{ readxl_progress() } \description{ By default, readxl displays a progress spinner \strong{unless} one of the following is \code{TRUE}: \itemize{ \item The spinner is explicitly disabled by setting \code{options(readxl.show_progress = FALSE)}. \item The code is run in a non-interactive session (\code{interactive()} is \code{FALSE}). \item The code is run by knitr / rmarkdown. \item The code is run in an RStudio notebook chunk. readxl uses the \href{https://cran.r-project.org/package=progress}{progress package} under-the-hood and therefore is also sensitive to any options that it consults. } } readxl/man/figures/0000755000176200001440000000000014402521667013757 5ustar liggesusersreadxl/man/figures/logo.png0000644000176200001440000005601014402522031015411 0ustar liggesusersPNG  IHDRޫhgAMA a cHRMz&u0`:pQ<bKGDtIME qZIDATxw|\WezQK8.c7H$! 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Works on Windows, Mac and Linux without external dependencies. License: MIT + file LICENSE URL: https://readxl.tidyverse.org, https://github.com/tidyverse/readxl BugReports: https://github.com/tidyverse/readxl/issues Depends: R (>= 3.6) Imports: cellranger, tibble (>= 2.0.1), utils Suggests: covr, knitr, rmarkdown, testthat (>= 3.1.6), withr LinkingTo: cpp11 (>= 0.4.0), progress VignetteBuilder: knitr Config/Needs/website: tidyverse/tidytemplate, tidyverse Config/testthat/edition: 3 Encoding: UTF-8 Note: libxls v1.6.3 c199d13 RoxygenNote: 7.3.2 NeedsCompilation: yes Packaged: 2025-02-26 03:02:38 UTC; jenny Author: Hadley Wickham [aut] (), Jennifer Bryan [aut, cre] (), Posit, PBC [cph, fnd] (Copyright holder of all R code and all C/C++ code without explicit copyright attribution), Marcin Kalicinski [ctb, cph] (Author of included RapidXML code), Komarov Valery [ctb, cph] (Author of included libxls code), Christophe Leitienne [ctb, cph] (Author of included libxls code), Bob Colbert [ctb, cph] (Author of included libxls code), David Hoerl [ctb, cph] (Author of included libxls code), Evan Miller [ctb, cph] (Author of included libxls code) Maintainer: Jennifer Bryan Repository: CRAN Date/Publication: 2025-02-27 16:20:02 UTC