Nothing
# Test with valid inputs and expected outputs
test_that("Valid parameters return correctly structured data for crypto_info()", {
skip_on_cran()
result <- crypto_info(limit = 2)
# Check data structure
expect_s3_class(result, "tbl_df")
expect_true(all(c("id", "name", "symbol", "slug", "description", "logo") %in% names(result)))
# Check specific content for a known coin
bitcoin_info <- result %>% filter(name == "Bitcoin")
expect_equal(nrow(bitcoin_info), 1)
expect_true(!is.na(bitcoin_info$logo))
expect_true(!is.na(bitcoin_info$description))
})
# Test downloaded data against earlier downloaded data
test_that("Downloaded data matches previously downloaded reference data for crypto_info()", {
skip_on_cran()
# coin_info <- crypto_info(limit = 2) |> select(id,name,symbol,slug,category,date_added)
# saveRDS(coin_info, "tests/testthat/test_data/crypto_info_reference.rds")
# Assume you've saved reference data from a previous known good state
expected_data <- readRDS("test_data/crypto_info_reference.rds")
# Get new data using the same parameters as when the reference was created
new_data <- crypto_info(limit = 2) |> select(id,name,symbol,slug,category,date_added)
# Compare the new data to the expected data
expect_equal(new_data, expected_data, tolerance = 1e-8,
info = "The newly downloaded data should match the reference dataset.")
})
# Test with valid inputs and expected outputs
test_that("Valid parameters return correctly structured data for exchange_info()", {
skip_on_cran()
result <- exchange_info(limit = 2)
# Check data structure
expect_s3_class(result, "tbl_df")
expect_true(all(c("id", "name", "slug", "description", "logo") %in% names(result)))
# Check specific content for a known coin
poloniex_info <- result %>% filter(slug == "poloniex")
expect_equal(nrow(poloniex_info), 1)
expect_true(!is.na(poloniex_info$logo))
expect_true(!is.na(poloniex_info$description))
})
# Test downloaded data against earlier downloaded data
test_that("Downloaded data matches previously downloaded reference data for exchange_info()", {
skip_on_cran()
# ex_info <- exchange_info(limit = 2)
# saveRDS(ex_info, file = "tests/testthat/test_data/ex_info_reference.rds")
# Assume you've saved reference data from a previous known good state
expected_data <- readRDS("test_data/ex_info_reference.rds")
# Get new data using the same parameters as when the reference was created
new_data <- exchange_info(limit = 2)
# Compare the new data to the expected data
expect_equal(new_data, expected_data, tolerance = 1e-8,
info = "The newly downloaded data should match the reference dataset.")
})
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