spec_export_search_results <- function() {
  readr::cols(
    `Committee Name` = readr::col_character(),
    `SBoE ID` = readr::col_character(),
    Year = readr::col_character(),
    `Doc Type` = readr::col_character(),
    `Doc Name` = readr::col_character(),
    Amend = readr::col_character(),
    `Received Image` = readr::col_date(format = "%m/%d/%Y"),
    `Received Data` = readr::col_date(format = "%m/%d/%Y"),
    `Start Date` = readr::col_date(format = "%m/%d/%Y"),
    `End Date` = readr::col_date(format = "%m/%d/%Y"),
    Image = readr::col_character(),
    Data = readr::col_character()
  )
}

spec_report_by_year_scrape <- function() {
  readr::cols(
    CommitteeName = readr::col_character(),
    SBoEID = readr::col_character(),
    DocumentType = readr::col_character(),
    ReportYear = readr::col_character(),
    ReportType = readr::col_character(),
    IsAmendment = readr::col_character(),
    ImageReceiptDate = readr::col_date(format = "%m/%d/%Y"),
    DataImportDate = readr::col_date(format = "%m/%d/%Y"),
    PeriodStartDate = readr::col_date(format = "%m/%d/%Y"),
    PeriodEndDate = readr::col_date(format = "%m/%d/%Y"),
    ImageType = readr::col_character(),
    DataType = readr::col_character(),
    DataLink = readr::col_character(),
    ImageLink = readr::col_character()
  )
}

get_report_by_year_export <- function(year, report) {
  res <-
    req_report_by_year_export(year, report) |>
    req_perform() |>
    resp_body_string() |>
    readr::read_csv(col_types = spec_export_search_results())

  names(res)[which(names(res) == "SBoE ID")] <- "sboe_id"
  names(res) <- snakecase::to_snake_case(names(res))

  res |>
    mutate(amend = amend == "Y") |>
    relocate(year, doc_name) |>
    group_by(year, doc_name) |>
    targets::tar_group()
}

get_report_by_year_scrape <- function(year, report) {
  res <-
    req_report_by_year(year, report) |>
    req_perform() |>
    resp_body_string()

  res <- strsplit(res, "\r\n")[[1]]
  res <- res[grepl("^\\s*var data = \\[", res)]
  res <- sub("\\s*var data = ", "", res)

  tbl <- jsonlite::fromJSON(res) |>
    as_tibble()

  if (nrow(tbl) == 0) return(NULL)

  tbl |>
    readr::type_convert(col_types = spec_report_by_year_scrape()) |>
    select(
      year = ReportYear,
      doc_name = ReportType,
      sboe_id = SBoEID,
      committee_name = CommitteeName,
      report_id = DataLink,
      doc_type = DocumentType,
      amended = IsAmendment,
      received_image = ImageReceiptDate,
      received_data = DataImportDate,
      start_date = PeriodStartDate,
      end_date = PeriodEndDate,
      img_link = ImageLink
    ) |>
    mutate(amended = amended == "Y") |>
    group_by(year, doc_name) |>
    targets::tar_group()
}

spec_report_section_receipts <- function() {
  readr::cols(
    Date = readr::col_date(format = "%m/%d/%Y"),
    `Is Prior` = readr::col_character(),
    Name = readr::col_character(),
    `Street 1` = readr::col_character(),
    `Street 2` = readr::col_character(),
    City = readr::col_character(),
    State = readr::col_character(),
    `Full Zip` = readr::col_character(),
    `Country Name` = readr::col_character(),
    `Outside US Postal Code` = readr::col_character(),
    Profession = readr::col_character(),
    `Employers Name` = readr::col_character(),
    Purpose = readr::col_character(),
    `Receipt Type Desc` = readr::col_character(),
    `Account Abbr` = readr::col_character(),
    `Form Of Payment Desc` = readr::col_character(),
    Description = readr::col_character(),
    Amount = readr::col_double(),
    `Sum To Date` = readr::col_double()
  )
}

spec_report_section_expenses <- function() {
  cols(
    Date = col_date(format = "%m/%d/%Y"),
    Name = col_character(),
    `Street 1` = col_character(),
    `Street 2` = col_character(),
    City = col_character(),
    State = col_character(),
    `Full Zip` = col_character(),
    `Country Name` = col_character(),
    `Outside US Postal Code` = col_character(),
    Profession = col_character(),
    `Employer Name` = col_character(),
    `Purpose Type Code` = col_character(),
    Purpose = col_character(),
    Candidate = col_character(),
    `Office Sought` = col_character(),
    Declaration = col_character(),
    Amount = col_double(),
    `Expenditure Type Desc` = col_character(),
    `Account Abbr` = col_character(),
    `Form Of Payment Desc` = col_character(),
    Description = col_character(),
    Amount1 = col_double(),
    `Sum To Date` = col_double()
  )
}

get_report_section <- function(
  report_id,
  section = "receipts",
  sboe_id = NULL
) {
  delay()

  res <-
    req_report_detail(report_id, section) |>
    req_perform()

  if (identical(res$body, raw(0))) return(NULL)

  res <- resp_body_string(res)

  spec <- switch(
    section,
    receipts = list(skip = 1, col_types = spec_report_section_receipts()),
    expenses = ,
    expenditures = list(skip = 1, col_types = spec_report_section_expenses()),
    NULL
  )

  if (is.null(spec)) return(res)

  res <- readr::read_csv(res, col_types = spec$col_types, skip = spec$skip)

  names(res) <- snakecase::to_snake_case(names(res))

  res <- mutate(res, report_id = !!report_id, .before = 1)

  if (!is.null(sboe_id)) {
    res <- mutate(res, sboe_id = !!sboe_id, .after = report_id)
  }

  res
}

get_raw_report_all <- function(report_id) {
  delay()

  if (!identical(Sys.getenv("ALLOW_DOWNLOADS"), "true")) {
    stop("Shouldn't be downloading reports now...")
  }

  res <-
    req_report_detail(report_id, "all") |>
    req_perform()

  if (identical(res$body, raw(0))) return("")

  resp_body_string(res)
}

save_raw_report_all <- function(report_id, sboe_id, received) {
  dir <- here::here("data-raw", "reports", sboe_id, "all")
  file_name <- paste0(report_id, "_", received)
  path <- path(dir, file_name, ext = "txt")

  if (file_exists(path)) {
    # We don't need to re-download any reports
    return(path)
  }

  res <- get_raw_report_all(report_id)

  dir_create(dir)

  brio::write_lines(res, path)

  invisible(path)
}


get_report_receipts_json <- function(report_id, page_size = 500) {
  delay()

  page <- 0

  cli::cli_progress_step("Getting page 0 of ??")
  res <-
    report_id |>
    req_report_receipts(page = page, page_size = page_size) |>
    req_perform() |>
    resp_body_json(check_type = FALSE)

  data <- res$Data$results
  total_rows <- res$Data$recordCountKey
  actual_page_size <- length(data)

  if (length(data) < total_rows) {
    while (length(data) < total_rows) {
      page <- page + 1
      cli::cli_progress_step("Getting page {page} of {ceiling(total_rows / actual_page_size)} [{length(res$Data$results)}]")

      res <-
        report_id |>
        req_report_receipts(page = page, page_size = page_size) |>
        req_perform() |>
        resp_body_json(check_type = FALSE)

      data <- c(data, res$Data$results)
    }
  }

  cli::cli_progress_step("Preparing data frame")
  data |>
    map_depth(2, \(x) if (length(x)) x) |>
    map_dfr(\(x) x)
}

save_report_receipts_csv <- function(report_id, sboe_id, received) {
  dir <- here::here("data-raw", "reports", sboe_id, "receipts")
  file_name <- paste0(report_id, "_", received, "_", "receipts")
  path <- path(dir, file_name, ext = "csv")

  if (file_exists(path)) {
    # We don't need to re-download any reports
    return(path)
  }

  res <- get_report_receipts_json(report_id)

  dir_create(dir)

  write_csv(res, path)

  invisible(path)
}


get_report_expenditures_json <- function(report_id, page_size = 500) {
  delay()

  page <- 0

  cli::cli_progress_step("Getting expenses page 0 of ??")
  res <-
    report_id |>
    req_report_expenditures(page = page, page_size = page_size) |>
    req_perform() |>
    resp_body_json(check_type = FALSE)

  data <- res$Data$results
  total_rows <- res$Data$recordCountKey
  actual_page_size <- length(data)

  if (length(data) < total_rows) {
    while (length(data) < total_rows) {
      cli::cli_progress_step("Getting expenses page {page + 1} of {ceiling(total_rows / actual_page_size)} [{length(res$Data$results)}]")
      page <- page + 1

      res <-
        report_id |>
        req_report_expenditures(page = page, page_size = page_size) |>
        req_perform() |>
        resp_body_json(check_type = FALSE)

      data <- c(data, res$Data$results)
    }
  }

  cli::cli_progress_step("Preparing expenses data frame")
  data |>
    map_depth(2, \(x) if (length(x)) x) |>
    map_dfr(\(x) x)
}

save_report_expenditures_csv <- function(report_id, sboe_id, received) {
  dir <- here::here("data-raw", "reports", sboe_id, "expenditures")
  file_name <- paste0(report_id, "_", received, "_", "expenditures")
  path <- path(dir, file_name, ext = "csv")

  if (file_exists(path)) {
    # We don't need to re-download any reports
    return(path)
  }

  res <- get_report_expenditures_json(report_id)

  dir_create(dir)

  write_csv(res, path)

  invisible(path)
}