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test: unit tests for argument checks
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## Data for tests ---- | ||
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df <- data.frame("x" = 1:3, | ||
"y" = 4:6) | ||
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df_w_req_col <- data.frame(matrix(1:21, nrow = 1)) | ||
colnames(df_w_req_col) <- get_required_columns() | ||
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df_w_missing_req_col <- df_w_req_col[ , -1] | ||
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## check_if_character() ---- | ||
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test_that("Test check_if_character() for error", { | ||
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expect_error(check_if_character(), | ||
"Argument '' is required", | ||
fixed = TRUE) | ||
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expect_error(check_if_character(12), | ||
"Argument '12' must be a character", | ||
fixed = TRUE) | ||
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expect_error(check_if_character(c("a", "b")), | ||
"Argument 'c(\"a\", \"b\")' must be of length 1", | ||
fixed = TRUE) | ||
}) | ||
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test_that("Test check_if_character() for success", { | ||
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expect_invisible(check_if_character("string")) | ||
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x <- check_if_character("string") | ||
expect_null(x) | ||
}) | ||
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## check_if_path_exists() ---- | ||
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test_that("Test check_if_path_exists() for error", { | ||
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expect_error(check_if_path_exists("path"), | ||
"The directory 'path' does not exist", | ||
fixed = TRUE) | ||
}) | ||
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test_that("Test check_if_path_exists() for success", { | ||
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create_tempdir() | ||
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expect_invisible(check_if_path_exists(getwd())) | ||
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x <- check_if_path_exists(getwd()) | ||
expect_null(x) | ||
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dir.create("data") | ||
expect_invisible(check_if_path_exists("data")) | ||
}) | ||
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## check_if_df() ---- | ||
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test_that("Test check_if_df() for error", { | ||
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expect_error(check_if_df(), | ||
"Argument 'data' is required", | ||
fixed = TRUE) | ||
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expect_error(check_if_df(NA), | ||
"Argument 'data' must be a data.frame", | ||
fixed = TRUE) | ||
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expect_error(check_if_df(1:5), | ||
"Argument 'data' must be a data.frame", | ||
fixed = TRUE) | ||
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expect_error(check_if_df(letters), | ||
"Argument 'data' must be a data.frame", | ||
fixed = TRUE) | ||
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expect_error(check_if_df(TRUE), | ||
"Argument 'data' must be a data.frame", | ||
fixed = TRUE) | ||
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expect_error(check_if_df(NULL), | ||
"Argument 'data' must be a data.frame", | ||
fixed = TRUE) | ||
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expect_error(check_if_df(list()), | ||
"Argument 'data' must be a data.frame", | ||
fixed = TRUE) | ||
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expect_error(check_if_df(matrix(1:4, ncol = 2)), | ||
"Argument 'data' must be a data.frame", | ||
fixed = TRUE) | ||
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expect_error(check_if_df(data.frame()), | ||
"Argument 'data' must have at least one row", | ||
fixed = TRUE) | ||
}) | ||
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test_that("Test check_if_df() for success", { | ||
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expect_invisible(check_if_df(df)) | ||
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x <- check_if_df(df) | ||
expect_null(x) | ||
}) | ||
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## check_field_in_data() ---- | ||
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test_that("Test check_field_in_data() for error", { | ||
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expect_error(check_field_in_data(df, "z"), | ||
"The column '\"z\"' is missing from 'data'", | ||
fixed = TRUE) | ||
}) | ||
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test_that("Test check_field_in_data() for success", { | ||
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expect_invisible(check_field_in_data(df, "x")) | ||
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x <- check_field_in_data(df, "y") | ||
expect_null(x) | ||
}) | ||
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## check_required_columns() ---- | ||
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test_that("Test check_required_columns() for error", { | ||
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expect_error(check_required_columns(df_w_missing_req_col), | ||
"Some required columns are absent from data", | ||
fixed = TRUE) | ||
}) | ||
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test_that("Test check_required_columns() for success", { | ||
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expect_invisible(check_required_columns(df_w_req_col)) | ||
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x <- check_required_columns(df_w_req_col) | ||
expect_null(x) | ||
}) | ||
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## check_if_valid_taxonomy() ---- | ||
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test_that("Test check_if_valid_taxonomy() for error", { | ||
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expect_error(check_if_valid_taxonomy("AA"), | ||
"Bad taxonomy. Valid taxonomies names are: LT, VT, OT, ZZ", | ||
fixed = TRUE) | ||
}) | ||
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test_that("Test check_if_valid_taxonomy() for success", { | ||
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expect_invisible(check_if_valid_taxonomy("LT")) | ||
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x <- check_if_valid_taxonomy("vt") | ||
expect_null(x) | ||
}) | ||
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## check_unique_taxonomy() ---- | ||
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test_that("Test check_unique_taxonomy() for error", { | ||
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df <- data.frame(df_w_req_col, "d_anfracta_VT" = 1, "ungulata" = 1) | ||
df$"data_type" <- "CPR South" | ||
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expect_error(check_unique_taxonomy(df), | ||
paste0("Multiple taxonomies are not allowed. Please use the ", | ||
"function 'select_taxonomy()' before going any further"), | ||
fixed = TRUE) | ||
}) | ||
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test_that("Test check_unique_taxonomy() for success", { | ||
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df <- df_w_req_col | ||
df$"data_type" <- "CPR North" | ||
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expect_invisible(check_unique_taxonomy(df)) | ||
x <- check_unique_taxonomy(df) | ||
expect_null(x) | ||
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df <- data.frame(df_w_req_col, "benthics" = 1, "ungulata" = 1) | ||
df$"data_type" <- "CPR South" | ||
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expect_invisible(check_unique_taxonomy(df)) | ||
x <- check_unique_taxonomy(df) | ||
expect_null(x) | ||
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df$"data_type" <- "Net" | ||
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expect_invisible(check_unique_taxonomy(df)) | ||
x <- check_unique_taxonomy(df) | ||
expect_null(x) | ||
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df$"data_type" <- "Pump" | ||
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expect_invisible(check_unique_taxonomy(df)) | ||
x <- check_unique_taxonomy(df) | ||
expect_null(x) | ||
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df$"data_type" <- "Sediment trap" | ||
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expect_invisible(check_unique_taxonomy(df)) | ||
x <- check_unique_taxonomy(df) | ||
expect_null(x) | ||
}) |