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Bumped version number, merged in master #139
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Original file line number | Diff line number | Diff line change |
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# Check missingness | ||
|
||
check_arg_missingness <- function(database, col, col_value){ | ||
if(rlang::is_missing(database) | rlang::is_missing(col) | rlang::is_missing(col_value)) | ||
cli::cli_abort(c( | ||
"x" = "`database`, `col` or `col_value` must be supplied!" | ||
) | ||
) | ||
} | ||
|
||
# Check if table name exists | ||
# Note that users can supply the $traits table to database, for that reason table can be NA | ||
# First check if table is NA | ||
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check_table_name_exists <- function(database, table){ | ||
if(!is.na(table) & !tibble::is_tibble(database)){ # database is NOT $traits and `table` is supplied | ||
if(! names(database) %in% table |> any()){ # Does any names of the tables in database contain `table` | ||
cli::cli_abort( | ||
c( | ||
"x" = "`{table}` is not a valid table name", | ||
"i" = "Check `names(database)` and try again!" | ||
) | ||
) | ||
} | ||
} | ||
} | ||
|
||
# Check if col exists in specified table when database is traits.build object | ||
check_col_exists_in_table <- function(database, table, col){ | ||
# If traits table supplied and no table is specified | ||
if(tibble::is_tibble(database)){ | ||
if(! names(database) %in% col |> any()){ # Does any names in table contain `col` | ||
cli::cli_abort(c( | ||
"x" = "`{col}` is not a valid column name in the `traits` table", | ||
"i" = "Check `names(database$traits)` and try again!" | ||
) | ||
) | ||
} | ||
} else( | ||
if(! names(database[[table]]) %in% col |> any()){ # Does any names in table contain `col` | ||
cli::cli_abort(c( | ||
"x" = "`{col}` is not a valid column name in the `{table}` table", | ||
"i" = "Check `names(database${table})` and try again!" | ||
) | ||
) | ||
} | ||
) | ||
} | ||
|
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# Check if col_value exists in the col after attempted extraction | ||
# Accommodating for multiple values supplied AND partial matching | ||
|
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check_col_value_exists <- function(ret, table, col, col_value){ | ||
if(tibble::is_tibble(ret)){ | ||
if(nrow(ret) == 0) | ||
cli::cli_abort(c( | ||
"x" = "`{col_value}` is not a valid value in `{col}` column of the `traits` table", | ||
"i" = "Check spelling of `{col_value}` and try again!" | ||
) | ||
) | ||
} else( | ||
|
||
if(nrow(ret$traits) == 0) | ||
cli::cli_abort(c( | ||
"x" = "`{col_value}` is not a valid value in `{col}` column of the `{table}` table", | ||
"i" = "Check spelling of `{col_value}` and try again!" | ||
) | ||
) | ||
) | ||
} | ||
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||
# | ||
# # Get possible col values | ||
# available_values <- database[[table]][col] |> dplyr::pull() |> unique() | ||
# | ||
# # Check if there are non-matches | ||
# if(length(col_value) > 1) | ||
# concat_col_value <- paste(col_value, collapse = "|") | ||
# | ||
# partial_matches <- stringr::str_detect(available_values, concat_col_value) | ||
# | ||
# if(length(partial_matches) > 1) | ||
# | ||
# # Prompt user which one is non-match | ||
# if(length(no_match) >= 1){ | ||
# cli::cli_warn(c("x" = "`{no_match}` is not a valid value in `{col}` of the `{table}` table")) | ||
# } | ||
|
||
# # Check if col_value exists in the col | ||
# # Accommodating for multiple values supplied | ||
# | ||
# # Get possible col values | ||
# available_values <- database[[table]][col] |> dplyr::pull() |> unique() | ||
# | ||
# # Check if there are non-matches | ||
# no_match <- col_value[which(! col_value %in% available_values)] | ||
# | ||
# # Identify matches | ||
# matches <- col_value[which(col_value %in% available_values)] | ||
# | ||
# # Prompt user which one is non-match | ||
# if(length(no_match) > 0){ | ||
# cli::cli_warn("`{no_match}` is not a valid value in `{col}` of the `{table}` table") | ||
# cli::cli_alert_success("Continuing data extraction for {.val {matches}}") | ||
# } |
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Original file line number | Diff line number | Diff line change |
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test_database_structure <- function(database, taxa = NA, dataset_id = NA, n_row = NA) { | ||
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table_names <- c("traits", "locations", "contexts", "methods", "excluded_data", "taxonomic_updates", "taxa", "contributors", | ||
"sources", "definitions", "schema", "metadata", "build_info") | ||
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testthat::expect_type(database, "list") | ||
testthat::expect_equal(class(database), "traits.build") | ||
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testthat::expect_equal(names(database), table_names) | ||
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testthat::expect_contains(database$traits$taxon_name |> unique(), database$taxa$taxon_name |> unique()) | ||
testthat::expect_contains(database$traits$dataset_id |> unique(), database$methods$dataset_id |> unique()) | ||
testthat::expect_contains(paste(database$traits$dataset_id, database$traits$trait_name) |> unique(), paste(database$methods$dataset_id, database$methods$trait_name) |> unique()) | ||
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if(!is.na(taxa)) { | ||
testthat::expect_contains(database$traits$taxon_name |> unique(), taxa |> unique()) | ||
} | ||
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if(!is.na(dataset_id)) { | ||
testthat::expect_contains(database$traits$dataset_id |> unique(), dataset_id |> unique()) | ||
} | ||
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if(!is.na(n_row)) { | ||
testthat::expect_equal(database$traits |> nrow(), n_row) | ||
} | ||
} |
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