utils-mp-questions.R

# mp_question multi function ----------------------------------------------

mp_question_multi <- function(mp_id, question_type, start_date,
                              end_date, extra_args, verbose) {
  mp_id_list <- as.list(mp_id)

  dat <- vector("list", length(mp_id_list))

  seq_list <- seq(from = 1, to = length(mp_id_list), by = 1)

  for (i in seq_along(seq_list)) {
    dat[[i]] <- hansard::mp_questions(
      mp_id = mp_id_list[[i]],
      question_type = question_type,
      end_date = end_date,
      start_date = start_date,
      extra_args = extra_args,
      verbose = verbose,
      tidy = FALSE,
      tidy_style = "snake"
    )
  }

  dat <- dat[sapply(dat, function(d) !is.null(d))]

  df <- dplyr::bind_rows(dat)

  names(df)[names(df) == "_about"] <- "about"

  df
}

## MP question tidying

mp_question_tidy <- function(df, tidy_style) {
  if (nrow(df) > 0) {
    df$dateTabled._value <- as.POSIXct(df$dateTabled._value)

    df$AnswerDate._value <- as.POSIXct(df$AnswerDate._value)

    df$AnswerDate._datatype <- "POSIXct"

    df$dateTabled._datatype <- "POSIXct"

    df$tablingMemberPrinted <- unlist(df$tablingMemberPrinted)

    df$AnsweringBody <- unlist(df$AnsweringBody)

    df$tablingMember._about <- gsub(
      "http://data.parliament.uk/members/", "",
      df$tablingMember._about
    )
  }

  df <- hansard_tidy(df, tidy_style)

  df
}