test_that("test choices", { # empty result res <- omopgenerics::emptySummarisedResult() resultList <- res |> panelDetailsFromResult() |> resultListFromPanelDetails() expect_no_error(x <- prepareResult(res, resultList)) expected <- list() expect_equal(unname(x), expected) # check only settings res <- omopgenerics::emptySummarisedResult(settings = dplyr::tibble( result_id = c(1L, 2L), result_type = c("custom_result_1", "custom_result_2"), package_name = "OmopViewer", package_version = "1.0.0", param = c("TRUE", NA), x = c("0", "1") )) panelList <- list(my_result = list(result_id = c(1L, 2L))) expect_no_error(x <- getValues(res, panelList)) expect_identical(x$my_result_cdm_name, character()) expect_identical(x$my_result_variable_name, character()) expect_identical(x$my_result_variable_level, character()) expect_identical(x$my_result_estimate_name, character()) expect_identical(x$my_result_param, "TRUE") expect_identical(x$my_result_x, c("0", "1")) # a set of summarised_results res <- omopgenerics::newSummarisedResult( x = dplyr::tibble( result_id = c(1L, 2L), cdm_name = c("cdm1", "cdm2"), group_name = "cohort_name", group_level = "cohort_1", strata_name = c("age &&& sex", "year"), strata_level = c("<40 &&& F", "2010"), variable_name = "number_subjects", variable_level = NA_character_, estimate_name = "count", estimate_type = "integer", estimate_value = "100", additional_name = c("overall", "time"), additional_level = c("overall", "1") ), settings = dplyr::tibble( result_id = c(1L, 2L), result_type = c("custom_result_1", "custom_result_2"), package_name = "OmopViewer", package_version = "1.0.0", param = c("TRUE", NA), x = c("0", "1") ) ) resultList <- list( custom_result_1 = list(result_id = 1L), custom_result_2 = list(result_id = 2L) ) expect_no_error(x <- getValues(res, resultList)) # present names expect_identical( sort(names(x)), sort(c("custom_result_1_cdm_name", "custom_result_1_cohort_name", "custom_result_1_age", "custom_result_1_sex", "custom_result_1_variable_name", "custom_result_1_variable_level", "custom_result_1_estimate_name", "custom_result_1_param", "custom_result_1_x", "custom_result_2_cdm_name", "custom_result_2_cohort_name", "custom_result_2_year", "custom_result_2_variable_name", "custom_result_2_variable_level", "custom_result_2_estimate_name", "custom_result_2_time", "custom_result_2_x")) ) # custom_result_1 expect_identical(x$custom_result_1_cdm_name, "cdm1") expect_identical(x$custom_result_1_cohort_name, "cohort_1") expect_identical(x$custom_result_1_age, "<40") expect_identical(x$custom_result_1_sex, "F") expect_identical(x$custom_result_1_variable_name, "number_subjects") expect_identical(x$custom_result_1_variable_level, character()) expect_identical(x$custom_result_1_estimate_name, "count") expect_identical(x$custom_result_1_param, "TRUE") expect_identical(x$custom_result_1_x, "0") # custom_result_2 expect_identical(x$custom_result_2_cdm_name, "cdm2") expect_identical(x$custom_result_2_cohort_name, "cohort_1") expect_identical(x$custom_result_2_year, "2010") expect_identical(x$custom_result_2_variable_name, "number_subjects") expect_identical(x$custom_result_2_variable_level, character()) expect_identical(x$custom_result_2_estimate_name, "count") expect_identical(x$custom_result_2_time, "1") expect_identical(x$custom_result_2_x, "1") })