# DQAstats - Perform data quality assessment (DQA) of electronic health # records (EHR) # Copyright (C) 2019-2022 Universitätsklinikum Erlangen # # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License # along with this program. If not, see . library(data.table) test_that("correct functioning of readme example (parallel = FALSE)", { # Set environment vars to demo files paths: Sys.setenv("EXAMPLECSV_SOURCE_PATH" = system.file("demo_data", package = "DQAstats")) Sys.setenv("EXAMPLECSV_TARGET_PATH" = system.file("demo_data", package = "DQAstats")) # Set path to utilities folder where to find the mdr and template files: utils_path <- system.file("demo_data/utilities", package = "DQAstats") # Execute the DQA and generate a PDF report: results <- DQAstats::dqa( source_system_name = "exampleCSV_source", target_system_name = "exampleCSV_target", utils_path = utils_path, mdr_filename = "mdr_example_data.csv", output_dir = paste0(tempdir(), "/output/"), parallel = FALSE ) expect_type(results, "list") expect_length(results, 27) do.call( file.remove, list(list.files(tempdir(), pattern = "log$", full.names = TRUE)) ) }) test_that("correct functioning of readme example (parallel = TRUE)", { # Set environment vars to demo files paths: Sys.setenv("EXAMPLECSV_SOURCE_PATH" = system.file("demo_data", package = "DQAstats")) Sys.setenv("EXAMPLECSV_TARGET_PATH" = system.file("demo_data", package = "DQAstats")) # Set path to utilities folder where to find the mdr and template files: utils_path <- system.file("demo_data/utilities", package = "DQAstats") # Execute the DQA and generate a PDF report: results <- DQAstats::dqa( source_system_name = "exampleCSV_source", target_system_name = "exampleCSV_target", utils_path = utils_path, mdr_filename = "mdr_example_data.csv", output_dir = paste0(tempdir(), "/output/"), parallel = TRUE ) expect_type(results, "list") expect_length(results, 27) do.call( file.remove, list(list.files(tempdir(), pattern = "log$", full.names = TRUE)) ) })