#' Parse legislator information
#'
#' Parse bill sponsor information from local json. (support for parsing from API response
#' not yet available.)
#'
#' @param people_json Path to people json file
#'
#' @import jsonlite
#' @import progress
#' @importFrom data.table rbindlist setDF
#' @importFrom tibble as_tibble
#'
#' @examples
#' person_8630 <- system.file("extdata", "people/8630.json", package = "legiscanrr")
#' person_8630 <- parse_people(person_8630)
#' str(person_8630)
#'
#' @return A data frame of 20 columns.
#' For more details, see \href{../articles/parse-json.html#legislator-information}{documentation}.
#'
#' @export
#'
parse_people <- function(people_json){
# Initialize progress bar
pb <- progress::progress_bar$new(
format = " parsing people [:bar] :percent in :elapsed.",
total = length(people_json), clear = FALSE, width= 60)
pb$tick(0)
# Inner function
extract_people_meta <- function(input_people_json){
pb$tick()
# Import json
input_people <- jsonlite::fromJSON(input_people_json)
# Keep inner element
people_meta <- input_people[["person"]]
people_meta
# End of inner functionn
}
# Iterate over input json to decode text one by one
output_list <- lapply(people_json, extract_people_meta)
# Bind list into flat data frame
output_df <- data.table::rbindlist(output_list, fill = TRUE)
output_df <- tibble::as_tibble(data.table::setDF(output_df))
output_df
# End of function call
}
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