48 lines
1.4 KiB
R
48 lines
1.4 KiB
R
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get_dummy_data <- function(type) {
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if (type %in% c("text", "select_one", "select_multiple")) return("dummy")
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if (type %in% c("radio", "checkbox")) return("dummy")
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if (type %in% c("date")) return(as.Date("1990-01-01"))
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if (type %in% c("number")) return(as.double(999))
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}
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# get_empty_data <- function(type) {
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# if (type %in% c("text", "select_one", "select_multiple")) return(as.character(NA))
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# if (type %in% c("radio", "checkbox")) return(as.character(NA))
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# if (type %in% c("date")) return(as.Date(NA))
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# if (type %in% c("number")) return(as.character(NA))
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# }
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get_dummy_df <- function() {
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purrr::map(
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.x = inputs_simple_list,
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.f = get_empty_data
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) %>%
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as_tibble()
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}
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#' @description Function check if variable contains some sort of empty data
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#' (NULL, NA, "", other 0-length data) and return `TRUE` (`FALSE` if data is
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#' not 'empty').
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#'
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#' Needed for proper data validation.
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check_for_empty_data <- function(value_to_check) {
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# for any 0-length
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if (length(value_to_check) == 0) return(TRUE)
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# for NA
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if (is.logical(value_to_check) && is.na(value_to_check)) return(TRUE)
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# for NULL
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if (is.null(value_to_check)) return(TRUE)
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# for non-empty Date (RETURN FALSE)
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if (inherits(value_to_check, "Date") && length(value_to_check) != 0) return(FALSE)
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# for empty strings (stands before checking non-empty data for avoid mistakes)
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if (value_to_check == "") return(TRUE)
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FALSE
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}
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