test_that("prep_undisclose works", { skip_on_cran() # slow, parallel, ... skip_if_not_installed("withr") withr::local_options(dataquieR.CONDITIONS_WITH_STACKTRACE = TRUE, dataquieR.ERRORS_WITH_CALLER = TRUE, dataquieR.WARNINGS_WITH_CALLER = TRUE, dataquieR.MESSAGES_WITH_CALLER = TRUE) skip_if_offline(host = "dataquality.qihs.uni-greifswald.de") prep_load_workbook_like_file("https://dataquality.qihs.uni-greifswald.de/extdata/fortests/meta_data_v2.xlsx") study_data <- head(prep_get_data_frame("https://dataquality.qihs.uni-greifswald.de/extdata/fortests/study_data.RData"), 100) meta_data <- prep_get_data_frame("item_level") mlt <- prep_get_data_frame("https://dataquality.qihs.uni-greifswald.de/extdata/fortests/meta_data_v2.xlsx| missing_table") prep_purge_data_frame_cache() prep_add_data_frames(`missing_table` = mlt) invisible(testthat::capture_output_lines(gc(full = TRUE, verbose = FALSE))) sd0 <- study_data[, 1:5] sd0$v00012 <- study_data$v00012 md0 <- subset(meta_data, VAR_NAMES %in% colnames(sd0)) md0$PART_VAR <- NULL # md0$MISSING_LIST_TABLE <- NULL # don't include huge reports as RData in the package # Suppress warnings since we do not test dq_report2 # here in the first place report <- dq_report2(sd0, md0, resp_vars = c("v00000", "v00001", "v00002", "v00003", "v00004", "v00012"), filter_indicator_functions = c("distrib", "^acc_univariate_outlier$"), cores = NULL, dimensions = # for speed, omit Accuracy c("Integrity", "Completeness", "Consistency", "Accuracy")) expect_equal(length(report$acc_distributions_loc.SBP_0$SummaryPlotList$SBP_0$data$SBP_0), 88) report_x <- prep_undisclose(report) expect_equal(length(report_x$acc_distributions_loc.SBP_0$SummaryPlotList$SBP_0$data), 0) })