Nothing
# Define a sample dataframe for testing
sample_data <- data.frame(
date_col = as.Date(c("2023-01-01", "2023-01-02", "2023-01-04", "2023-01-05", "2023-01-06")),
value_col = c(10, 15, 5, 8, 12)
)
# Test case 1: Check if the function runs without errors with valid input
test_that("Function runs without errors with valid input", {
expect_no_error(heatcalendar_plot(sample_data, "date_col"))
})
# Test case 2: Check if the function throws an error for non-date column
test_that("Function throws an error for non-date column", {
non_date_data <- data.frame(
non_date_col = c("2023-01-01", "2023-01-02", "2023-01-04", "2023-01-05", "2023-01-06"),
value_col = c(10, 15, 5, 8, 12)
)
expect_error(heatcalendar_plot(non_date_data, "non_date_col"), "Column 'non_date_col' must be a date format.")
})
# Test case 3: Check if the function throws an error for missing timevar argument
test_that("Function throws an error for missing timevar argument", {
expect_error(heatcalendar_plot(sample_data), "timevar must be specified.")
})
# # Test case 3: Check plot output similar
# save_png <- function(code, width = 400, height = 400) {
# path <- tempfile(fileext = ".png")
# png(path, width = width, height = height)
# print(code)
# on.exit(dev.off())
# path
# }
# test_that("Snapshot test for generated plot", {
# announce_snapshot_file(name = "plot.png")
# expect_snapshot_file(save_png(heatcalendar_plot(sample_data, "date_col")), "plot.png")
# })
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