test_that("Dataset", {
res = fetch_dataset("WJP_STATE", vintage = "latest")
expect_is(res, "data.frame")
expect_true("dates" %in% colnames(res))
expect_true("vintage" %in% colnames(res))
expect_true("series_id" %in% colnames(res))
expect_true("values" %in% colnames(res))
expect_true("State" %in% colnames(res))
res = fetch_dataset("WJP_STATE", restrictions = list("State" = c("TAS")))
expect_is(res, "data.frame")
expect_true("dates" %in% colnames(res))
expect_true("vintage" %in% colnames(res))
expect_true("series_id" %in% colnames(res))
expect_true("values" %in% colnames(res))
expect_true("State" %in% colnames(res))
expect_true(unique(res$State) == c("TAS"))
res = fetch_dataset("WJP_STATE", restrictions = list("State" = c("TAS")), dimensions = "name")
expect_is(res, "data.frame")
expect_true("dates" %in% colnames(res))
expect_true("vintage" %in% colnames(res))
expect_true("series_id" %in% colnames(res))
expect_true("values" %in% colnames(res))
expect_true("State" %in% colnames(res))
expect_true(unique(res$State) == c("Tasmania"))
test_that("Errors", {
expect_error(fetch_dataset("*"), "`*` is not a valid series code", fixed = TRUE)
expect_error(fetch_dataset("valid_but_nonexistent"), "DataSet `valid_but_nonexistent` does not exist", fixed = TRUE)
expect_error(fetch_dataset("WJP_STATE", vintage = "abc"), "Invalid vintage `abc`. Options are a date (in form YYYY-MM-DD) or one of `current` (alias `latest`) or `previous`", fixed = TRUE)
expect_error(fetch_dataset("WJP_STATE", dimensions = "fizz"), "`dimensions` can only be one of `code` or `name`", fixed = TRUE)
})
})
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