library(testthat) library(DeSciDe) library(withr) test_that("descide function exports correctly", { skip_on_cran() # Skipping this test on CRAN genes_list <- c("JUN", "MYC", "HDAC1", "TRIM33") terms_list <- c("cancer", "romidepsin") current_date <- format(Sys.Date(), "%m.%d.%Y") tmp_dir <- local_tempdir() results <- descide( genes_list = genes_list, terms_list = terms_list, export = TRUE, file_directory = tmp_dir, export_format = "csv" ) # Check if the exported summary file exists expected_summary_file <- paste0(current_date, "_Combined_Summary.csv") expect_true(file.exists(file.path(tmp_dir, expected_summary_file))) # Check if the heatmap image exists expected_heatmap_file <- paste0(current_date, "_PubMed_Heatmap.png") expect_true(file.exists(file.path(tmp_dir, expected_heatmap_file))) # Check if the STRINGdb network image exists expected_string_network_file <- paste0(current_date, "_STRINGdb_Network.pdf") expect_true(file.exists(file.path(tmp_dir, expected_string_network_file))) # Check if the Degree vs Clustering Coefficient plot exists expected_clustering_plot_file <- paste0(current_date, "_Degree_vs_ClusteringCoefficient.png") expect_true(file.exists(file.path(tmp_dir, expected_clustering_plot_file))) # Check if the Connectivity vs Precedence plot exists expected_precedence_plot_file <- paste0(current_date, "_Connectivity_vs_Precedence.png") expect_true(file.exists(file.path(tmp_dir, expected_precedence_plot_file))) # Repeat the above tests for TSV and Excel export formats tmp_dir <- local_tempdir() results <- descide( genes_list = genes_list, terms_list = terms_list, export = TRUE, file_directory = tmp_dir, export_format = "tsv" ) expected_summary_file <- paste0(current_date, "_Combined_Summary.tsv") expect_true(file.exists(file.path(tmp_dir, expected_summary_file))) expect_true(file.exists(file.path(tmp_dir, expected_heatmap_file))) expect_true(file.exists(file.path(tmp_dir, expected_string_network_file))) expect_true(file.exists(file.path(tmp_dir, expected_clustering_plot_file))) expect_true(file.exists(file.path(tmp_dir, expected_precedence_plot_file))) tmp_dir <- local_tempdir() results <- descide( genes_list = genes_list, terms_list = terms_list, export = TRUE, file_directory = tmp_dir, export_format = "excel" ) expected_summary_file <- paste0(current_date, "_Combined_Summary.xlsx") expect_true(file.exists(file.path(tmp_dir, expected_summary_file))) expect_true(file.exists(file.path(tmp_dir, expected_heatmap_file))) expect_true(file.exists(file.path(tmp_dir, expected_string_network_file))) expect_true(file.exists(file.path(tmp_dir, expected_clustering_plot_file))) expect_true(file.exists(file.path(tmp_dir, expected_precedence_plot_file))) })