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2 changes: 1 addition & 1 deletion R/column_functions.R
Original file line number Diff line number Diff line change
Expand Up @@ -12,7 +12,7 @@
#' @export
#'
get_dataset_prefixed_col_names <- function(data) {
if (!is.null(attr(data, "filter_and_columns")$columns) && attr(data, "filter_and_columns")$columns != "") {
if (any(!is.null(attr(data, "filter_and_columns")$columns)) && all(attr(data, "filter_and_columns")$columns != "")) {
paste(attr(data, "dataname"), attr(data, "filter_and_columns")$columns, sep = ".")
} else {
NULL
Expand Down
16 changes: 16 additions & 0 deletions tests/testthat/test-choices_selected.R
Original file line number Diff line number Diff line change
Expand Up @@ -197,3 +197,19 @@ testthat::test_that("delayed version of choices_selected - resolve_delayed", {
res_obj <- isolate(resolve_delayed(obj, datasets = data_list, keys = key_list))
testthat::expect_equal(res_obj, exp_obj)
})

testthat::test_that("if we call add_no_selected_choices we add no selection", {
choices_list <- choices_selected(
choices = c("a", "b", "c"),
selected = "a"
)
testthat::expect_false(any(grepl("no selection", choices_list$choices)))
choices_list <- add_no_selected_choices(choices_list)
testthat::expect_true(any(grepl("no selection", choices_list$choices)))
})

testthat::test_that("no_selected_as_NULL returns NULL if word is within no selected", {
testthat::expect_null(no_selected_as_NULL(NULL))
testthat::expect_null(no_selected_as_NULL(no_select_keyword))
testthat::expect_true(!is.null(no_selected_as_NULL("random")))
})
13 changes: 13 additions & 0 deletions tests/testthat/test-column_functions.R
Original file line number Diff line number Diff line change
@@ -0,0 +1,13 @@
testthat::test_that("get_dataset_prefixed_col_names returns vector of columns", {
data_test <- data.frame()
attr(data_test, "filter_and_columns") <- list(columns = c("col_1"))

testthat::expect_identical(".col_1", get_dataset_prefixed_col_names(data_test))
})

testthat::test_that("get_dataset_prefixed_col_names returns vector of multiple columns", {
data_test <- data.frame()
attr(data_test, "filter_and_columns") <- list(columns = c("col_1", "col_2"))

testthat::expect_identical(c(".col_1", ".col_2"), get_dataset_prefixed_col_names(data_test))
})
91 changes: 91 additions & 0 deletions tests/testthat/test-data_extract_datanames.R
Original file line number Diff line number Diff line change
Expand Up @@ -83,3 +83,94 @@ testthat::test_that("get_extract_datanames returns unique dataname when data_ext
testthat::expect_identical(ged_output, "ADSL")
testthat::expect_equal(length(ged_output), 1)
})

testthat::test_that("datanames_input gets the data names provided to module", {
adtte_filters <- filter_spec(
vars = c("PARAMCD", "CNSR"),
sep = "-",
choices = c("OS-1" = "OS-1", "OS-0" = "OS-0", "PFS-1" = "PFS-1"),
selected = "OS-1",
multiple = FALSE,
label = "Choose endpoint and Censor"
)

response_spec <- data_extract_spec(
dataname = "ADTTE",
filter = adtte_filters,
select = select_spec(
choices = c("AVAL", "BMRKR1", "AGE"),
selected = c("AVAL", "BMRKR1"),
multiple = TRUE,
fixed = FALSE,
label = "Column"
)
)

input_names <- datanames_input(response_spec)

testthat::expect_s3_class(input_names, "shiny.tag")
testthat::expect_true(grepl("ADTTE", as.character(input_names)))
})

testthat::test_that("data_extract_datanames returns TRUE in single dataset", {
adtte_filters <- filter_spec(
vars = c("PARAMCD", "CNSR"),
sep = "-",
choices = c("OS-1" = "OS-1", "OS-0" = "OS-0", "PFS-1" = "PFS-1"),
selected = "OS-1",
multiple = FALSE,
label = "Choose endpoint and Censor"
)

data_spec <- data_extract_spec(
dataname = "ADTTE",
filter = adtte_filters,
select = select_spec(
choices = c("AVAL", "BMRKR1", "AGE"),
selected = c("AVAL", "BMRKR1"),
multiple = TRUE,
fixed = FALSE,
label = "Column"
)
)

testthat::expect_true(is_single_dataset((data_spec)))
})

testthat::test_that("data_extract_datanames returns FALSE in multiple datasets", {
adtte_filters <- filter_spec(
vars = c("PARAMCD", "CNSR"),
sep = "-",
choices = c("OS-1" = "OS-1", "OS-0" = "OS-0", "PFS-1" = "PFS-1"),
selected = "OS-1",
multiple = FALSE,
label = "Choose endpoint and Censor"
)

data_spec_1 <- data_extract_spec(
dataname = "ADTTE",
filter = adtte_filters,
select = select_spec(
choices = c("AVAL", "BMRKR1", "AGE"),
selected = c("AVAL", "BMRKR1"),
multiple = TRUE,
fixed = FALSE,
label = "Column"
)
)


data_spec_2 <- data_extract_spec(
dataname = "ADTTE2",
filter = adtte_filters,
select = select_spec(
choices = c("AVAL", "BMRKR1", "AGE"),
selected = c("AVAL", "BMRKR1"),
multiple = TRUE,
fixed = FALSE,
label = "Column"
)
)

testthat::expect_false(is_single_dataset(data_spec_1, data_spec_2))
})
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