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# SPDX-Copyright: Copyright (c) Capital One Services, LLC
# SPDX-License-Identifier: Apache-2.0
# Copyright 2017 Capital One Services, LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
#
# You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software distributed
# under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS
# OF ANY KIND, either express or implied.
#' checkEmpty
#'
#' Checks if a df is actually a single NA, or has no columns
#'
#' @param df a data frame
#' @return None. Stops if empty.
#' @examples
#' \dontrun{checkEmpty(iris)}
checkEmpty <- function(df) {
# This was rewritten for speed. We do not want to do is.na() on a massive data frame
# So this logic ensures we proceed for large data frames without running the is.na
# step
if(is.null(ncol(df)) || is.na(ncol(df)) || ncol(df)==0) {
stop("ERROR : One or more dataframes have no columns")
}
}
#' CheckNA
#'
#' Checks a data frame is NA - if so, stops
#'
#' @param df A (probable) dataframe
#'
#' @return Nothing. Errors is df is NA
checkNA <- function(df) {
if(isSingleNA(df)) {
stop('ERROR : One or more dataframes are empty')
}
}
#' isSingleNA
#'
#' Boolean function - T if x is a single NA. False otherwise.
#'
#' @param x literally anything
#'
#' @return boolean
isSingleNA <- function(x) {
if(is.vector(x) && length(x) == 1 && is.na(x)) {
TRUE
} else {
FALSE
}
}
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