test_that("nhl_data_base returns correct columns and filters by source", { result <- nhl_data_base() expect_true("name" %in% colnames(result)) expect_true("round" %in% colnames(result)) expect_true("rank" %in% colnames(result)) }) # Test nhl_data_espn function test_that("nhl_data_espn returns correct columns and filters by source", { result <- nhl_data_espn() expected_columns <- c("name", "year", "date_of_birth", "age", "current_team", "league", "scouting_report", "team_fit", "likely_to_play") expect_true(all(expected_columns %in% colnames(result))) }) # Test nhl_data_nhl_com function test_that("nhl_data_nhl_com returns correct columns and filters by source", { result <- nhl_data_nhl.com() expected_columns <- c("name", "year", "position", "city", "team", "league", "scouting_report", "analysis") expect_true(all(expected_columns %in% colnames(result))) }) # Load the nhl_data to ensure it's loaded for testing test_that("nhl_data is loaded correctly", { expect_s3_class(nhl_data, "tbl_df") expect_true(ncol(nhl_data) >= 15) }) # Example tests for filtering specific years and sources (just to ensure data is as expected) test_that("nhl_data filters by year correctly", { nhl_2023 <- dplyr::filter(nhl_data, year == 2023) expect_true(all(nhl_2023$year == 2023)) }) test_that("nhl_data filters by ESPN source correctly", { nhl_data_espn_filtered <- dplyr::filter(nhl_data, source == "ESPN") expect_true(all(nhl_data_espn_filtered$source == "ESPN")) })