Nothing
context("test idig_top_records")
field <- "country"
most <- "united states"
count <- 11
genus <- "acer"
scientificname <- "acer macrophyllum"
test_that("default list of top 10 scientific names returns", {
testthat::skip_on_cran()
testthat::skip_if_offline()
top <- idig_top_records()
expect_that(top, is_a("list"))
expect_that(length(top$scientificname), equals(10))
expect_true(top$itemCount > 20 * 1000 * 1000)
# Save the number of records in all iDigBio for later tests
# all_count <- top$itemCount
})
test_that("field and number of tops work", {
testthat::skip_on_cran()
testthat::skip_if_offline()
top <- idig_top_records(top_fields = c(field), count = count)
expect_that(top, is_a("list"))
expect_that(length(top[[field]]), equals(count))
expect_true(top[[field]][[most]][["itemCount"]] > 1000 * 1000)
})
test_that("record searches work", {
testthat::skip_on_cran()
testthat::skip_if_offline()
top <- idig_top_records(
rq = list("genus" = genus), top_fields = c(field),
count = count
)
expect_that(top, is_a("list"))
expect_true(top$itemCount < 200 * 1000)
# Save the number of genus records for later tests
# genus_count <- top$itemCount
})
test_that("multiple fields return nested results", {
testthat::skip_on_cran()
testthat::skip_if_offline()
top <- idig_top_records(rq = list("genus" = genus), top_fields = c(
field,
"scientificname"
), count = count)
expect_that(top, is_a("list"))
expect_true(top[[field]][[most]][["scientificname"]][[scientificname]][["itemCount"]]
> 1000)
})
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