95 lines
3.8 KiB
Python
95 lines
3.8 KiB
Python
import hashlib
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from datetime import datetime
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import logging
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import feedparser
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from bs4 import BeautifulSoup
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import requests
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import xml.sax._exceptions
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NETWORK_TIMEOUT = 15 # segundos
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def process_single_feed(feed_data):
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"""
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Procesa un único feed RSS, descarga sus noticias y devuelve la información.
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"""
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feed_id = feed_data['id']
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feed_url = feed_data['url']
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# --- LÍNEA CLAVE ---
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# Obtenemos el nombre del feed para usarlo como fuente de la noticia.
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feed_nombre = feed_data.get('nombre', 'Fuente Desconocida')
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etag = feed_data.get('last_etag')
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modified = feed_data.get('last_modified')
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noticias_encontradas = []
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new_etag, new_modified = None, None
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success = False
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try:
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headers = {'User-Agent': 'RssApp/1.0'}
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if etag:
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headers['If-None-Match'] = etag
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if modified:
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headers['If-Modified-Since'] = modified
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response = requests.get(feed_url, headers=headers, timeout=NETWORK_TIMEOUT)
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response.raise_for_status()
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if response.status_code == 304:
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logging.info(f"Feed {feed_url} (ID: {feed_id}) no modificado (304).")
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return feed_id, [], etag, modified, True
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parsed = feedparser.parse(response.content)
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if parsed.bozo and isinstance(parsed.bozo_exception, xml.sax._exceptions.SAXParseException):
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logging.error(f"Feed malformado para {feed_url} (ID: {feed_id}): {parsed.bozo_exception}")
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return feed_id, [], None, None, False
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if not parsed.entries:
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logging.warning(f"Feed {feed_url} (ID: {feed_id}) no contiene entradas.")
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return feed_id, [], parsed.get('etag'), parsed.get('modified'), True
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for entry in parsed.entries:
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link = entry.get("link")
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if not link:
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continue
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noticia_id = hashlib.md5(link.encode()).hexdigest()
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titulo = entry.get("title", "Sin título")
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resumen_html = entry.get("summary", "")
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imagen_url = ""
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if "media_content" in entry and entry.media_content:
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imagen_url = entry.media_content[0].get("url", "")
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elif resumen_html:
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soup = BeautifulSoup(resumen_html, 'html.parser')
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img_tag = soup.find('img')
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if img_tag and img_tag.get('src'):
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imagen_url = img_tag['src']
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resumen_texto_plano = BeautifulSoup(resumen_html, 'html.parser').get_text(separator=' ', strip=True)
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fecha_publicacion = datetime.now()
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if hasattr(entry, 'published_parsed') and entry.published_parsed:
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fecha_publicacion = datetime(*entry.published_parsed[:6])
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elif hasattr(entry, 'updated_parsed') and entry.updated_parsed:
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fecha_publicacion = datetime(*entry.updated_parsed[:6])
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# --- LÍNEA CLAVE ---
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# Añadimos 'feed_nombre' a la tupla de datos que se guardará en la BD.
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noticias_encontradas.append(
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(noticia_id, titulo, resumen_texto_plano, link, fecha_publicacion,
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imagen_url, feed_nombre, feed_data['categoria_id'], feed_data['pais_id'])
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)
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new_etag = response.headers.get('ETag')
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new_modified = response.headers.get('Last-Modified')
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success = True
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except requests.exceptions.Timeout:
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logging.error(f"TIMEOUT al intentar obtener el feed {feed_url} (ID: {feed_id})")
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except requests.exceptions.RequestException as e:
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logging.error(f"Error de HTTP/red para el feed {feed_url} (ID: {feed_id}): {e}")
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except Exception as e:
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logging.error(f"Excepción inesperada al procesar el feed {feed_url} (ID: {feed_id}): {e}", exc_info=True)
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return feed_id, noticias_encontradas, new_etag, new_modified, success
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