process_expenditures_csv <- function(dir_sboe_id, report_list = tar_read(report_list)) {
  # Read the files in the directory, extract report_id from the path
  # Compare to report_list to determine which reports go into the data

  files <- dir_ls(dir_sboe_id)
  info <- report_path_info(files)
  info$path <- files

  # These are the reports we want to keep in the data
  info <- semi_join(info, report_list, by = c("sboe_id", "report_id"))

  expenditures <-
    info |>
    pmap(function(sboe_id, report_id, path, ...) {
      read_expenditures_csv(path, sboe_id, report_id)
    }) |>
    list_rbind()

  names(expenditures) <- snakecase::to_snake_case(names(expenditures), parsing_option = 3)

  expenditures
}

write_expenditures_parquet <- function(dir_sboe_id, report_list = tar_read(report_list)) {
  expenditures <- process_expenditures_csv(dir_sboe_id, report_list)

  info <- report_path_info(dir_sboe_id)

  data_dir <- here::here("..", "data", "expenditures", sprintf("sboe_id=%s", info$sboe_id))
  data_path <- path(data_dir, "part-0.parquet")
  dir_create(data_dir)

  arrow::write_parquet(expenditures, data_path)
  data_path
}

read_expenditures_csv <- function(path, sboe_id = NULL, report_id = NULL) {
  if (file_size(path) < 1) {
    return(NULL)
  }

  if (is.null(sboe_id) || is.null(report_id)) {
    info <- report_path_info(path)
    sboe_id <- info$sboe_id
    report_id <- info$report_id
  }

  x <- read_csv(
    path,
    col_types = cols(
      .default = col_character(),
      OccurDate = col_date("%m/%d/%Y"),
      IsOrg = col_logical(),
      IsUS = col_logical(),
      Amount = col_double(),
      SumToDate = col_double(),
      IsAggregated = col_logical()
    )
  )

  record_problems(x, label = "expenditures")

  x |>
    mutate(sboe_id = sboe_id, report_id = report_id, .before = 0)
}