Nothing
test_that("format_vertical_data() behaves as expected", {
# Standard case
expect_equal(
format_vertical_data(
tidyxl_data = vertical_data_input(),
formatting_data = vertical_formatting_input(),
stat_pub_name = "Test",
frequency = "Test frequency"
),
vertical_data_output()
)
# Case with col
expect_equal(
format_vertical_data(
tidyxl_data = vertical_data_input(),
formatting_data = vertical_formatting_input(),
drop_col = FALSE,
stat_pub_name = "Test",
frequency = "Test frequency"
),
dplyr::mutate(.data = vertical_data_output(), col = rep(4:8, 6))
)
})
test_that("get_col_names() behaves as expected", {
expect_equal(
get_col_names(vertical_data_input(), 1:8)$character,
c("Period", "ABN", "Entity", "Field 1", "Field 2", "Field 3", "Field 4", "Field 5")
)
expect_error(
get_col_names(vertical_data_input(), 0),
regexp = "Could not extract row names from the xlsx file.",
class = "readapra_error_could_not_get_row_names"
)
})
test_that("restructure_as_in_xlsx() behaves as expected", {
expect_equal(
restructure_as_in_xlsx(
existing_cols = existing_cols_input(),
row_names = row_names_input(),
data_below_top_row = data_below_top_row_input()
),
restructure_as_in_xlsx_output()
)
})
test_that("clean_col_names() behaves as expected", {
expect_equal(
clean_col_names(pivoted_data = clean_col_names_input()),
clean_col_names_output()
)
})
test_that("extra_meta_data() behaves as expected", {
expect_equal(
get_extra_meta_data(
stat_pub_name = "Test name",
frequency = "Test frequency",
row_names = row_names_input(),
existing_cols = existing_cols_input(),
data_below_top_row = data_below_top_row_input(),
formatting_data = vertical_formatting_input()
),
get_extra_meta_data_output()
)
})
test_that("attempt_format_vertical_data() behaves as expected", {
# Standard case
expect_equal(
attempt_format_vertical_data(
tidyxl_data = vertical_data_input(),
formatting_data = vertical_formatting_input(),
stat_pub_name = "Test",
frequency = "Test frequency"
),
vertical_data_output()
)
# Case with col
expect_equal(
attempt_format_vertical_data(
tidyxl_data = vertical_data_input(),
formatting_data = vertical_formatting_input(),
drop_col = FALSE,
stat_pub_name = "Test",
frequency = "Test frequency"
),
dplyr::mutate(.data = vertical_data_output(), col = rep(4:8, 6))
)
# Error in safe_format_vertical_data
local_mocked_bindings(
safe_format_vertical_data = function(...) {
list(result = NULL, error = "Error")
}
)
expect_error(
attempt_format_vertical_data(
tidyxl_data = vertical_data_input(),
formatting_data = vertical_formatting_input(),
stat_pub_name = "Test",
frequency = "Test frequency"
),
regexp = "The .xlsx file was in an unrecognised structure and could not be imported.",
class = "readapra_error_vertical_data_unreadable"
)
})
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.