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