Nothing
# Run all tests in this script:
## testthat::test_file(file.path("tests", "testthat", "test-harmonize.R"))
# Simple error testing
## (much of this is handled by `read` input testing)
test_that("Only accepts correct inputs", {
# Generate a local folder for exporting
temp_folder <- tempdir()
# Make a fake column key (with incorrect column names)
key_obj <- data.frame("wrong_name" = c("hiya"),
"tidy_name" = c("hello"),
"source" = c("test.csv"))
# Generate a column key with "guesses" at tidy column names
expect_error(harmonize(key = key_obj, raw_folder = temp_folder))
# Delete files post-testing
unlink(temp_folder, recursive = TRUE)
})
# Output testing
test_that("Outputs are correct", {
# Generate two simple tables
## Dataframe 1
df1 <- data.frame("xx" = c(1:3),
"unwanted" = c("not", "needed", "column"),
"yy" = letters[1:3])
## Dataframe 2
df2 <- data.frame("LETTERS" = letters[4:7],
"NUMBERS" = c(4:7),
"BONUS" = c("plantae", "animalia", "fungi", "protista"))
# Generate a local folder for exporting
temp_folder <- tempdir()
# Export both files to that folder
utils::write.csv(x = df1, file = file.path(temp_folder, "df1.csv"), row.names = FALSE)
utils::write.csv(x = df2, file = file.path(temp_folder, "df2.csv"), row.names = FALSE)
# Start the key
key_obj <- begin_key(raw_folder = temp_folder, data_format = "csv", guess_tidy = TRUE)
# Harmonize the data
tidy_v0 <- harmonize(key = key_obj, raw_folder = temp_folder, data_format = "csv")
# Check output class
expect_in(class(tidy_v0), c("tbl_df", "tbl", "data.frame"))
# Delete files post-testing
unlink(temp_folder, recursive = TRUE)
})
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