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##############################################################################################
#' @title Create a duckdb schema with every variable coded as a string field.
#' @author
#' Claire Lunch \email{clunch@battelleecology.org}
#' @description
#' Use the field names in a NEON variables file to create a duckdb schema of all strings, or, if no variables file is available, read the header and assign everything as string.
#'
#' @param variables A data frame containing a NEON variables file for a single table, or a set of field names.
#' @param listOrSchema Should the variable set be returned as a list of names and types, or a pasted schema?
#' @keywords internal
#'
#' @return A duckdb schema for the relevant data table with all variables set to string.
#' @references
#' License: GNU AFFERO GENERAL PUBLIC LICENSE Version 3, 19 November 2007
# Changelog and author contributions / copyrights
# Claire Lunch (2026-04-16)
##############################################################################################
schemaAllStringsDuck <- function(variables,
listOrSchema="schema") {
# if input is just a set of names
if(inherits(variables, "character")) {
stringset <- unlist(sapply(variables, FUN=function(x) {
paste("'", x, "'", ": 'VARCHAR'", sep="")
}))
stringschema <- paste("{", paste(stringset, collapse=", "), "}", sep="")
} else {
# if input is a variables table
if(inherits(variables, "data.frame")) {
stringset <- unlist(sapply(variables$fieldName, FUN=function(x) {
paste("'", x, "'", ": 'VARCHAR'", sep="")
}))
stringschema <- paste("{", paste(stringset, collapse=", "), "}", sep="")
} else {
# if input isn't one of the above, don't know what to do with it, return null
message("Variable names and data types could not be identified.")
return(invisible())
}
}
if(listOrSchema=="schema") {
return(stringschema)
} else {
return(stringset)
}
}
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