#' Baixar processo da JFDF
#'
#' @param id Numero do processo
#' @param path Caminho onde salvar HTMLs
#'
#' @examples
#' \dontrun{
#' download_jfdf("0036535-45.2000.4.01.3400")
#' }
#'
#' @export
download_jfdf <- function(id, path = ".") {
url_mov_proc <- "https://processual.trf1.jus.br/consultaProcessual/processo.php"
url_partes <- "https://processual.trf1.jus.br/consultaProcessual/arquivo/partes.php"
id <- abjutils::build_id(id)
query_mov_proc <- list(
"secao"="DF",
"enviar"="Pesquisar",
"pg"=1,
"proc"=id)
query_partes <- list(
"secao"="DF",
"origem"="processual",
"proc"=id)
dir.create(path, FALSE, TRUE)
path <- normalizePath(path)
file_mov_proc <- stringr::str_c(path, "/", abjutils::clean_id(id), "_movimentacao.html")
file_partes <- stringr::str_c(path, "/", abjutils::clean_id(id), "_partes.html")
request_mov_proc <- httr::GET(
url_mov_proc, query = query_mov_proc,
httr::config(ssl_verifypeer = FALSE),
httr::write_disk(file_mov_proc, TRUE))
request_partes <- httr::GET(
url_partes, query = query_partes,
httr::config(ssl_verifypeer = FALSE),
httr::write_disk(file_partes, TRUE))
request <- list(movimentacao = request_mov_proc, partes = request_partes)
return(c(file_mov_proc, file_partes))
}
#' Parsear processos da JFDF
#'
#' @param file Caminho para arquivo de movimentacoes
#'
#' @export
parse_jfdf <- function(file) {
node <- file %>% xml2::read_html()
aba_processo <- node %>%
rvest::html_node(xpath = '//div[@id="aba-processo"]//table') %>%
rvest::html_table(fill = T) %>%
magrittr::set_names(c("key", "val")) %>%
dplyr::mutate(key = stringr::str_to_lower(key),
key = abjutils::rm_accent(key),
key = stringr::str_replace(key, ":", ""),
key = stringr::str_replace_all(key, " +", "_")) %>%
tidyr::spread(key, val)
aba_movimentacao <- node %>%
rvest::html_node(xpath = '//div[@id="aba-movimentacao"]//table') %>%
rvest::html_table() %>% {
if(ncol(.) == 4){
magrittr::set_names(., c("data", "cod", "decricao","complemento"))
} else if(ncol(.) == 3){
magrittr::set_names(., c("data", "cod", "decricao"))
}} %>%
tidyr::separate(data, into = c("data", "hora"), sep = " +") %>%
dplyr::mutate(data = lubridate::dmy(data)) %>%
tidyr::nest(.key = "movimentacao") %>%
dplyr::mutate(file = file)
tab <- dplyr::bind_cols(aba_processo, aba_movimentacao) %>% dplyr::as_tibble()
return(tab)
}
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