pdf_to_ba <- function(texto_bruto) {
texto_bruto%>%
stringr::str_split('\n') %>%
purrr::pluck(1) %>%
tibble::tibble(texto=.) %>%
dplyr::filter(stringr::str_detect(texto,''),
stringr::str_detect(texto,'\\d+')) %>%
dplyr::mutate(texto=stringr::str_replace(texto,
paste0('\\s{2,}ITIUBA / ',
stringi::stri_unescape_unicode('CANSAN\\u00c7\\u00c3O')),
paste0(stringi::stri_unescape_unicode('R\\u00d4MULO'),
' CAMPOS (JACURICI)'))) %>%
dplyr::filter(!stringr::str_detect(texto,'^\\s{2,}')) %>%
dplyr::mutate(texto=stringr::str_remove(texto,'\\s{2,}\\D+'),
texto=stringr::str_remove_all(texto,'\\D+$')
) %>%
tidyr::extract(texto,
c('reservatorio',
'cota maxima OPERACIONAL (m)',
'cota minima OPERACIONAL (m)',
'VOLUME MAXIMO OPERACIONAL (hm_3)',
'DATA','COTA ATUAL (m)',
'VOLUME ATUAL (hm_3)',
'VOLUME UTIL (%)'
),
regex='(\\D+)(.*?)\\s{2,}(.*?)\\s{2,}(.*?)\\s{2,}(.*?)\\s{2,}(.*?)\\s{2,}(.*?)\\s{2,}(.*)') %>%
janitor::clean_names()
}
utils::globalVariables(c("texto",
'.'))
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