mirror of
https://github.com/R0m1k3/Priceflow.git
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Browserless (docker-compose.yml): - Image mise à jour: ghcr.io/browserless/chromium:latest - Timeout augmenté à 300s (5 minutes) - shm_size: 2gb (critique pour Chrome) - Mémoire: 3G limit, 1G reservation - Nouvelles variables: HEALTH, CHROME_REFRESH_TIME Scraper Service: - Ajout headers HTTP réalistes (Accept-Language, Accept) - Locale fr-FR et timezone Europe/Paris - Timeout connexion explicite (60s) - Fermeture propre des ressources (page, context, browser) - Meilleure gestion des erreurs de fermeture
345 lines
14 KiB
Python
345 lines
14 KiB
Python
import asyncio
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import logging
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import os
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import re
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from urllib.parse import urlparse, urlunparse
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from playwright.async_api import TimeoutError as PlaywrightTimeoutError
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from playwright.async_api import async_playwright
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logger = logging.getLogger(__name__)
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BROWSERLESS_URL = os.getenv("BROWSERLESS_URL", "ws://browserless:3000")
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# Nombre de tentatives pour le scraping
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MAX_RETRIES = 2
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RETRY_DELAY = 3 # secondes
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def simplify_url(url: str) -> str:
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"""
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Simplifie les URLs en supprimant les paramètres de tracking.
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Particulièrement utile pour Amazon qui a des URLs très longues.
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Exemples:
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- Amazon: https://www.amazon.fr/dp/B0CFYHHPPV?ref=... -> https://www.amazon.fr/dp/B0CFYHHPPV
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- Autres: garde l'URL originale si pas de simplification possible
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"""
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try:
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parsed = urlparse(url)
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hostname = parsed.hostname or ""
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# Simplification pour Amazon
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if "amazon" in hostname:
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# Extraire l'ASIN (identifiant produit Amazon)
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# Format: /dp/ASIN ou /gp/product/ASIN
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asin_match = re.search(r"/(?:dp|gp/product)/([A-Z0-9]{10})", url)
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if asin_match:
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asin = asin_match.group(1)
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# Reconstruire une URL simple
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simplified = f"{parsed.scheme}://{parsed.netloc}/dp/{asin}"
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logger.info(f"URL Amazon simplifiée: {url[:80]}... -> {simplified}")
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return simplified
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# Pour les autres sites, supprimer les paramètres de tracking courants
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# mais garder les paramètres essentiels
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tracking_params = [
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"utm_source", "utm_medium", "utm_campaign", "utm_content", "utm_term",
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"ref", "ref_", "tag", "linkCode", "linkId", "camp", "creative",
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"crid", "dib", "dib_tag", "qid", "sprefix", "sr", "keywords",
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"fbclid", "gclid", "msclkid"
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]
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if parsed.query:
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# Garder seulement les paramètres non-tracking
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from urllib.parse import parse_qs, urlencode
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params = parse_qs(parsed.query)
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filtered_params = {
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k: v[0] for k, v in params.items()
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if k.lower() not in tracking_params
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}
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new_query = urlencode(filtered_params) if filtered_params else ""
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simplified = urlunparse((
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parsed.scheme,
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parsed.netloc,
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parsed.path,
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parsed.params,
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new_query,
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"" # fragment
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))
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if simplified != url:
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logger.info(f"URL simplifiée: {url[:60]}... -> {simplified[:60]}...")
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return simplified
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return url
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except Exception as e:
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logger.warning(f"Erreur lors de la simplification de l'URL: {e}")
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return url
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class ScraperService:
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@staticmethod
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async def scrape_item( # noqa: PLR0913, PLR0912, PLR0915
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url: str,
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selector: str | None = None,
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item_id: int | None = None,
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smart_scroll: bool = False,
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scroll_pixels: int = 350,
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text_length: int = 0,
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timeout: int = 90000,
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) -> tuple[str | None, str]:
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"""
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Scrapes the given URL using Browserless and Playwright.
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Returns a tuple: (screenshot_path, page_text)
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Args:
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url: Target URL to scrape
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selector: Optional CSS selector to focus on
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item_id: Optional item ID for screenshot naming
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smart_scroll: Enable scrolling to load lazy content
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scroll_pixels: Number of pixels to scroll (must be positive)
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text_length: Number of characters to extract (0 = disabled)
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timeout: Page load timeout in milliseconds
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"""
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# Simplifier l'URL avant le scraping
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original_url = url
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url = simplify_url(url)
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# Input validation
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if scroll_pixels <= 0:
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logger.warning(f"Invalid scroll_pixels value: {scroll_pixels}, using default 350")
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scroll_pixels = 350
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if timeout <= 0:
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logger.warning(f"Invalid timeout value: {timeout}, using default 90000")
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timeout = 90000
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# Retries avec backoff
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last_error = None
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for attempt in range(MAX_RETRIES + 1):
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if attempt > 0:
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logger.info(f"Tentative {attempt + 1}/{MAX_RETRIES + 1} pour {url}")
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await asyncio.sleep(RETRY_DELAY * attempt)
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result = await ScraperService._do_scrape(
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url=url,
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selector=selector,
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item_id=item_id,
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smart_scroll=smart_scroll,
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scroll_pixels=scroll_pixels,
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text_length=text_length,
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timeout=timeout,
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)
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if result[0] is not None: # Screenshot réussi
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return result
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last_error = "Scraping failed"
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logger.warning(f"Tentative {attempt + 1} échouée pour {url}")
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logger.error(f"Toutes les tentatives ont échoué pour {url}")
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return None, ""
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@staticmethod
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async def _do_scrape( # noqa: PLR0913, PLR0912, PLR0915
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url: str,
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selector: str | None = None,
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item_id: int | None = None,
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smart_scroll: bool = False,
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scroll_pixels: int = 350,
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text_length: int = 0,
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timeout: int = 90000,
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) -> tuple[str | None, str]:
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"""Exécute le scraping réel (appelé par scrape_item avec retries)."""
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async with async_playwright() as p:
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browser = None
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context = None
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page = None
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try:
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logger.info(f"Connecting to Browserless at {BROWSERLESS_URL}")
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# Utiliser l'endpoint WebSocket de Browserless
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# Format: ws://browserless:3000?token=xxx ou ws://browserless:3000
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browser = await p.chromium.connect_over_cdp(
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BROWSERLESS_URL,
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timeout=60000, # 60s pour la connexion
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)
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context = await browser.new_context(
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viewport={"width": 1920, "height": 1080},
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user_agent=(
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"Mozilla/5.0 (Windows NT 10.0; Win64; x64) "
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"AppleWebKit/537.36 (KHTML, like Gecko) "
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"Chrome/120.0.0.0 Safari/537.36"
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),
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locale="fr-FR",
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timezone_id="Europe/Paris",
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# Options supplémentaires pour éviter la détection
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extra_http_headers={
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"Accept-Language": "fr-FR,fr;q=0.9,en-US;q=0.8,en;q=0.7",
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"Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.8",
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}
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)
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# Stealth mode / Ad blocking attempts
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await context.route("**/*", lambda route: route.continue_())
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page = await context.new_page()
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logger.info(f"Navigating to {url} (Timeout: {timeout}ms)")
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try:
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# First wait for domcontentloaded - this is the minimum we need
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await page.goto(url, wait_until="domcontentloaded", timeout=timeout)
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logger.info(f"Page loaded (domcontentloaded): {url}")
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# Then try to wait for networkidle, but don't fail if it times out
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# This helps with heavy pages that never fully settle
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try:
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await page.wait_for_load_state("networkidle", timeout=5000)
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logger.info("Network idle reached")
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except PlaywrightTimeoutError:
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logger.info("Network idle timed out (non-critical), proceeding...")
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except Exception as e:
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logger.error(f"Error navigating to {url}: {e}")
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# Try to take screenshot anyway if page partially loaded
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pass
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# Wait a bit for dynamic content if needed
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await page.wait_for_timeout(2000)
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# Try to close common popups (inclut Amazon)
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logger.info("Attempting to close popups...")
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popup_selectors = [
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# Amazon spécifique - boutons cookies
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"#sp-cc-accept",
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"#sp-cc-rejectall-link",
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"input[data-action-type='DISMISS']",
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"#a-popover-content-1 button",
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"[data-action='a-popover-close']",
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# Popups généraux
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"button[aria-label='Close']",
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"button[aria-label='close']",
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"button[aria-label='Fermer']",
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".close-button",
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".modal-close",
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"svg[data-name='Close']",
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"[class*='popup'] button",
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"[class*='modal'] button",
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"button:has-text('No, thanks')",
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"button:has-text('No thanks')",
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"button:has-text('Accepter')",
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"button:has-text('Accept')",
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"button:has-text('Continuer')",
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"a:has-text('No, thanks')",
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"div[role='dialog'] button[aria-label='Close']",
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]
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for popup_selector in popup_selectors:
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try:
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if await page.locator(popup_selector).count() > 0:
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logger.info(f"Found popup close button: {popup_selector}")
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# Try to click it. If it fails, catch and continue
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await page.locator(popup_selector).first.click(timeout=2000)
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await page.wait_for_timeout(1000) # Wait for animation
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except Exception as e:
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logger.debug(f"Could not close popup with selector {popup_selector}: {e}")
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# Also try pressing Escape
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try:
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await page.keyboard.press("Escape")
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except Exception as e:
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logger.debug(f"Could not press Escape key: {e}")
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if selector:
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try:
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logger.info(f"Waiting for selector: {selector}")
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await page.wait_for_selector(selector, timeout=5000)
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# Scroll to element
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element = page.locator(selector).first
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await element.scroll_into_view_if_needed()
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logger.info(f"Scrolled to selector: {selector}")
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except Exception as e:
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logger.warning(f"Selector {selector} not found or timed out: {e}")
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else:
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# Auto-detect price if no selector
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logger.info("No selector provided. Attempting to find price element...")
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try:
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# Look for common price patterns
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price_locator = page.locator("text=/$[0-9,]+(\\.[0-9]{2})?/")
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if await price_locator.count() > 0:
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# Pick the first one that looks visible and reasonable size
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# This is heuristic
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await price_locator.first.scroll_into_view_if_needed()
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logger.info("Scrolled to potential price element")
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except Exception as e:
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logger.warning(f"Auto-price detection failed: {e}")
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# Smart Scroll
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if smart_scroll:
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logger.info(f"Performing smart scroll ({scroll_pixels}px)...")
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try:
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await page.evaluate(f"window.scrollBy(0, {scroll_pixels})")
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await page.wait_for_timeout(1000)
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except Exception as e:
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logger.warning(f"Smart scroll failed: {e}")
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# IMPORTANT: Prendre le screenshot AVANT l'extraction de texte
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# pour éviter de perdre le screenshot si le navigateur se ferme
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screenshot_dir = "screenshots"
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os.makedirs(screenshot_dir, exist_ok=True)
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if item_id:
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filename = f"{screenshot_dir}/item_{item_id}.png"
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else:
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url_part = url.split("//")[-1].replace("/", "_")[:50] # Limiter la longueur
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timestamp = int(asyncio.get_event_loop().time())
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filename = f"{screenshot_dir}/{url_part}_{timestamp}.png"
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try:
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await page.screenshot(path=filename, full_page=False)
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logger.info(f"Screenshot saved to {filename}")
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except Exception as e:
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logger.error(f"Screenshot failed: {e}")
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return None, ""
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# Text Extraction (après le screenshot pour ne pas le perdre)
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page_text = ""
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if text_length > 0:
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try:
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logger.info(f"Extracting text (limit: {text_length} chars)...")
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# Get text from body avec un timeout court
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raw_text = await page.inner_text("body", timeout=10000)
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# Simple truncation
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page_text = raw_text[:text_length]
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logger.info(f"Extracted {len(page_text)} characters")
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except Exception as e:
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logger.warning(f"Text extraction failed (screenshot saved): {e}")
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# On continue car le screenshot a été pris
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return filename, page_text
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except Exception as e:
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logger.error(f"Error scraping {url}: {e}")
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return None, ""
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finally:
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# Fermeture propre des ressources dans l'ordre inverse
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try:
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if page and not page.is_closed():
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await page.close()
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except Exception as e:
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logger.debug(f"Error closing page: {e}")
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try:
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if context:
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await context.close()
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except Exception as e:
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logger.debug(f"Error closing context: {e}")
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try:
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if browser and browser.is_connected():
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await browser.close()
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except Exception as e:
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logger.debug(f"Error closing browser: {e}")
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