#' Parse roll call votes
#'
#' Parse roll call votes for a bill from local json.
#' (support for parsing from API response not yet available.)
#'
#' @param vote_json Path to vote json file
#'
#' @import jsonlite
#' @import progress
#' @importFrom purrr keep
#' @importFrom data.table rbindlist setDF
#' @importFrom tibble as_tibble
#'
#' @examples
#' vote <- system.file("extdata", "vote/154366.json", package = "legiscanrr")
#' vote <- parse_rollcall_vote(vote)
#' str(vote)
#'
#' @return A data frame of 12 columns.
#' For more details, see \href{../articles/parse-json.html#roll-call-votes}{documentation}.
#'
#' @export
parse_rollcall_vote <- function(vote_json){
# Initialize progress bar
pb <- progress::progress_bar$new(
format = " parsing roll call [:bar] :percent in :elapsed.",
total = length(vote_json), clear = FALSE, width= 60)
pb$tick(0)
extract_rollcall <- function(input_vote_json){
pb$tick()
# Import json
input_vote <- jsonlite::fromJSON(input_vote_json)
# Keep inner element
input_vote <- input_vote[["roll_call"]]
element_single <- c("roll_call_id",
"bill_id",
"date",
"desc",
"yea",
"nay",
"nv",
"absent",
"total",
"passed",
"chamber",
"chamber_id")
# Keep all elements with single value, i.e. everything except indivdual votes
vote_info <- purrr::keep(input_vote, names(input_vote) %in% element_single)
vote_info
# End of inner function call
}
# Iterate over input json to decode text one by one
output_list <- lapply(vote_json, extract_rollcall)
# 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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