Skip to content
Extraits de code Groupes Projets
RAAspotter_pref83.py 3,49 ko
Newer Older
import os, sys
import datetime

from bs4 import BeautifulSoup
from urllib.parse import unquote

from RAAspotter import RAAspotter

class RAAspotter_pref83(RAAspotter):

  # Config
  __HOST       = 'https://www.var.gouv.fr'
  __RAA_PAGE   = {'2024': f'{__HOST}/Publications/RAA-Recueil-des-actes-administratifs/Recueil-des-actes-administratifs-2024',
                  '2023': f'{__HOST}/Publications/RAA-Recueil-des-actes-administratifs/Recueil-des-actes-administratifs-2023',
                  '2022': f'{__HOST}/Publications/RAA-Recueil-des-actes-administratifs/Recueil-des-actes-administratifs-2022',
                  '2021': f'{__HOST}/Publications/RAA-Recueil-des-actes-administratifs/Recueil-des-actes-administratifs-2021',
                  '2020': f'{__HOST}/Publications/RAA-Recueil-des-actes-administratifs/Recueil-des-actes-administratifs-2020',
                  '2019': f'{__HOST}/Publications/RAA-Recueil-des-actes-administratifs/Recueil-des-actes-administratifs-2019'}
  __USER_AGENT = 'Mozilla/5.0 (X11; Linux x86_64; rv:109.0) Gecko/20100101 Firefox/115.0'
  full_name = 'Préfecture du Var'
  short_code = 'pref83'

  def __init__(self, data_dir):
    super().__init__(data_dir, self.__USER_AGENT)
    self.enable_tor(10)

  def get_raa(self, keywords):
    self.print_output('RAAspotter_pref83')
    self.print_output(f'Termes recherchés: {keywords}')
    self.print_output('')

    pages_to_parse = []
    if self.not_before.year <= 2024:
      pages_to_parse.append(self.__RAA_PAGE['2024'])
    if self.not_before.year <= 2023:
      pages_to_parse.append(self.__RAA_PAGE['2023'])
    if self.not_before.year <= 2022:
      pages_to_parse.append(self.__RAA_PAGE['2022'])
    if self.not_before.year <= 2021:
      pages_to_parse.append(self.__RAA_PAGE['2021'])
    if self.not_before.year <= 2020:
      pages_to_parse.append(self.__RAA_PAGE['2020'])
    if self.not_before.year <= 2019:
      pages_to_parse.append(self.__RAA_PAGE['2019'])

    sub_pages_to_parse = []

    # Pour chaque année, on cherche les sous-pages de mois
    for raa_page in pages_to_parse:
      sub_pages_to_parse.append(raa_page)
      page_content = self.get_page(raa_page, 'get').content
      month_pages = self.get_sub_pages(
        page_content,
        '.fr-card.fr-card--sm.fr-card--grey.fr-enlarge-link div.fr-card__body div.fr-card__content h2.fr-card__title a',
        self.__HOST,
        False
      )[::-1]
      for month_page in month_pages:
        sub_pages_to_parse.append(month_page['url'])

    # On parse les pages contenant des RAA
    elements = self.get_raa_with_pager(sub_pages_to_parse[::-1], ".fr-pagination__link.fr-pagination__link--next", self.__HOST)
    self.parse_raa(elements, keywords.split(','))

    self.mailer()

  def get_raa_elements(self, page_content):
    elements = []
    # On charge le parser
    soup = BeautifulSoup(page_content, 'html.parser')

    # On récupère chaque section contenant un RAA
    for a in soup.select('div.fr-card__body div.fr-card__content h2.fr-card__title a.fr-card__link.menu-item-link'):
      if a.get('href') and a['href'].endswith('.pdf'):
          if a['href'].startswith('/'):
            url = f"{self.__HOST}{a['href']}"
          else:
            url = a['href']

          url      = unquote(url)
          name     = a.get_text().strip()
          date     = datetime.datetime.strptime(a['title'].split(' - ')[-1].strip(), '%d/%m/%Y')
          filename = url.split('/')[-1]

          raa = RAAspotter.RAA(url, date, name, filename)
          elements.append(raa)
    return elements