mirror of
https://github.com/R0m1k3/Priceflow.git
synced 2026-10-12 01:39:25 +02:00
**Problem:** L'Incroyable product showing "3€99" was detected as 399.00 EUR instead of 3.99 EUR. URL: https://www.lincroyable.fr/p95361-porte-magique-lutin/ **Root Cause:** Previous normalization only handled "3,99 €" (with comma separator). Some French sites use alternative format: "3€99" (euro symbol as separator). Existing regex: ```python re.sub(r'(\d+),(\d{2})\s*€', r'\1.\2 €', content) # Only matches "3,99 €" ``` Missed format: ``` "3€99" → No match → AI sees "399" → Returns 399.00 ``` **Solution: Add Pattern for Euro-as-Separator Format** 1. **Text Normalization** (browserless_service.py:408-411) ```python # NEW Pattern 1: digits€XX → digits.XX € content = re.sub(r'(\d+)€(\d{2})\b', r'\1.\2 €', content) # "3€99" → "3.99 €" # "19€50" → "19.50 €" # Pattern 2: digits,XX € → digits.XX € (existing) content = re.sub(r'(\d+),(\d{2})\s*€', r'\1.\2 €', content) # "3,99 €" → "3.99 €" ``` 2. **Extracted Price Normalization** (browserless_service.py:438-441) - Same patterns applied to directly extracted prices - Ensures consistency regardless of extraction method **Regex Details:** - `(\d+)€(\d{2})\b` matches: * `\d+` = one or more digits (euros) * `€` = euro symbol as separator * `(\d{2})` = exactly 2 digits (cents) * `\b` = word boundary (prevents matching "10€999") - Replacement: `\1.\2 €` = "digits.cents €" **Supported Formats After Fix:** ``` "3,99 €" → "3.99 €" ✓ (existing) "3€99" → "3.99 €" ✓ (NEW) "19,50 €" → "19.50 €" ✓ (existing) "19€50" → "19.50 €" ✓ (NEW) "1 234,56" → "1234.56" ✓ (existing) ``` **Flow:** ``` Page text: "Porte Magique 3€99" ↓ Normalization: "Porte Magique 3.99 €" ↓ Extracted: "3€99" → Normalized: "3.99 €" ↓ Sent to AI: "PRIX DÉTECTÉ: 3.99 €\n\nPorte Magique 3.99 €" ↓ AI sees: "3.99" (NOT "399") ↓ Returns: 3.99 ✓ ``` **Expected Results:** - Before: "3€99" → AI returns 399.00 ❌ - After: "3€99" → Normalized to "3.99 €" → AI returns 3.99 ✅ Fixes L'Incroyable and any other sites using euro-as-separator format. Complements existing comma-separator normalization.
522 lines
24 KiB
Python
522 lines
24 KiB
Python
"""
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Browserless Service
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Manages connections to Browserless.io with advanced stealth capabilities.
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Handles:
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- Connection lifecycle
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- Stealth injection
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- Proxy rotation
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- Human behavior simulation
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"""
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import asyncio
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import logging
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import random
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import time
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from typing import Optional, Any
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from playwright.async_api import async_playwright, Browser, BrowserContext, Page
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from app.core.search_config import (
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BROWSERLESS_URL,
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get_amazon_proxies,
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get_random_user_agent,
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COOKIE_ACCEPT_SELECTORS
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)
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logger = logging.getLogger(__name__)
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# Stealth JS to inject
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STEALTH_JS = """
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// Advanced Stealth Mode
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Object.defineProperty(navigator, 'webdriver', { get: () => false });
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delete Object.getPrototypeOf(navigator).webdriver;
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window.chrome = { runtime: {} };
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Object.defineProperty(navigator, 'plugins', { get: () => [1, 2, 3, 4, 5] });
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Object.defineProperty(navigator, 'languages', { get: () => ['fr-FR', 'fr', 'en-US', 'en'] });
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"""
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class BrowserlessService:
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def __init__(self):
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self._playwright = None
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self._browser: Optional[Browser] = None
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self._proxies = get_amazon_proxies()
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async def start(self):
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"""Initialize the browser connection"""
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if not self._playwright:
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self._playwright = await async_playwright().start()
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if not self._browser or not self._browser.is_connected():
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try:
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logger.info(f"Connecting to Browserless at {BROWSERLESS_URL}")
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# Use the stealth endpoint if possible, otherwise standard
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# Note: /chromium/stealth might need specific token or config,
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# falling back to standard connect_over_cdp which is safer for generic browserless
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self._browser = await self._playwright.chromium.connect_over_cdp(
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BROWSERLESS_URL,
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timeout=60000
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)
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except Exception as e:
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logger.error(f"Failed to connect to Browserless: {e}")
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raise
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async def stop(self):
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"""Close resources"""
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if self._browser:
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await self._browser.close()
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if self._playwright:
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await self._playwright.stop()
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async def get_context(self, use_proxy: bool = False) -> BrowserContext:
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"""Create a new context with stealth settings"""
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await self.start()
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user_agent = get_random_user_agent()
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options = {
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"viewport": {"width": 1920, "height": 1080},
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"user_agent": user_agent,
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"locale": "fr-FR",
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"timezone_id": "Europe/Paris",
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"java_script_enabled": True,
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"bypass_csp": True,
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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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"Sec-Ch-Ua-Platform": '"Windows"',
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"Upgrade-Insecure-Requests": "1",
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}
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}
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if use_proxy and self._proxies:
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proxy = random.choice(self._proxies)
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options["proxy"] = proxy
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logger.info(f"Using proxy: {proxy['server'].split('//')[1]}")
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context = await self._browser.new_context(**options)
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# Block aggressive tracking but keep images for visual verification if needed
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# (Optimized for speed vs detection)
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await context.route("**/*", lambda route: route.continue_())
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return context
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async def simulate_human_behavior(self, page: Page):
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"""Simulate random mouse movements and scrolling"""
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try:
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# Mouse movements
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for _ in range(random.randint(2, 5)):
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await page.mouse.move(
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random.randint(100, 1800),
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random.randint(100, 900)
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)
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await asyncio.sleep(random.uniform(0.1, 0.3))
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# Scrolling
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await page.evaluate("window.scrollBy(0, 300)")
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await asyncio.sleep(random.uniform(0.5, 1.0))
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await page.evaluate("window.scrollBy(0, -100)")
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except Exception:
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pass
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async def handle_popups(self, page: Page):
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"""Attempt to close cookie banners and popups"""
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try:
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# Check for multiple popups (cookies + promo)
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# We iterate through all selectors and click any that are visible
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# We do this in a loop to handle sequential popups
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for _ in range(3): # Try up to 3 times for sequential popups
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clicked_something = False
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for selector in COOKIE_ACCEPT_SELECTORS:
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try:
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# Use a short timeout for check
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element = page.locator(selector).first
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if await element.is_visible(timeout=100):
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await element.click()
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logger.info(f"Closed popup/banner with {selector}")
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await asyncio.sleep(0.5) # Wait for animation
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clicked_something = True
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except Exception:
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continue
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if not clicked_something:
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break
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except Exception:
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pass
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async def _extract_generic_price(self, page: Page) -> str:
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"""
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Extract price from generic e-commerce pages using common selectors and patterns.
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Returns price text (e.g., "1,99 €") or empty string if not found.
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"""
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# Common price selectors used across e-commerce sites (ordered by priority)
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price_selectors = [
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# Highest priority: semantic and explicit current prices
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"[itemprop='price']",
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".current-price",
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".sale-price",
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".final-price",
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".product-price",
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"[data-price]",
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# Medium priority: generic price classes (exclude old/was/original)
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"[class*='price']:not([class*='old']):not([class*='was']):not([class*='original']):not([class*='before']):not([class*='regular'])",
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# ID-based
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"#price",
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"#product-price",
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"#our-price",
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# French-specific
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"span[class*='prix']:not([class*='ancien']):not([class*='barre'])",
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"div[class*='prix']:not([class*='ancien'])",
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"span[class*='tarif']",
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# Lower priority: generic .price (might catch old prices)
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".price",
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]
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found_prices = []
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for selector in price_selectors:
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try:
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elements = page.locator(selector)
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count = await elements.count()
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# Check up to 3 elements per selector
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for i in range(min(count, 3)):
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try:
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element = elements.nth(i)
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if await element.is_visible(timeout=1000):
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# Check if element is strikethrough (old price)
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try:
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text_decoration = await element.evaluate("el => window.getComputedStyle(el).textDecoration")
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if "line-through" in text_decoration:
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logger.debug(f"Skipping strikethrough price at {selector}")
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continue # Skip crossed-out prices
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except Exception:
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pass # If we can't check, continue anyway
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price_text = await element.inner_text()
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# Check if it looks like a price (contains € or digits with comma/dot)
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if price_text and ('€' in price_text or (',' in price_text and any(c.isdigit() for c in price_text))):
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# Clean up price text
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price_text = price_text.strip()
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found_prices.append((selector, price_text))
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logger.info(f"Found price via selector {selector}: {price_text}")
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# Return immediately if we found with high-priority selector
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if selector in ["[itemprop='price']", ".current-price", ".sale-price", ".final-price", ".product-price"]:
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return price_text
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except Exception:
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continue
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except Exception:
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continue
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# If we found prices with lower-priority selectors
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if found_prices:
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# When multiple prices found, the LAST one in DOM order is usually the current price
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# (websites typically show: old price first, then current price)
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best_price = found_prices[-1][1] # Take last (most recently added)
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if len(found_prices) > 1:
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prices_list = [p[1] for p in found_prices]
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logger.info(f"Multiple prices found: {prices_list}, selecting last (most likely current): {best_price}")
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return best_price
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# Fallback: Use regex to find price patterns in all text
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try:
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all_text = await page.inner_text('body')
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import re
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# Match French price formats: "1,99 €", "12,99€", "1.234,56 €"
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price_matches = re.findall(r'\d+[,\.]\d{2}\s*€', all_text)
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if price_matches:
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# Return first price found
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logger.info(f"Found price via regex: {price_matches[0]}")
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return price_matches[0]
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except Exception:
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pass
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logger.warning("Could not extract generic price with any method")
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return ""
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async def _extract_amazon_price(self, page: Page) -> str:
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"""
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Extract price directly from Amazon product page using CSS selectors.
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Returns price text (e.g., "89,99 €") or empty string if not found.
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"""
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# Amazon price selectors in priority order
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# Note: .a-offscreen elements are hidden but contain the full price for screen readers
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price_selectors = [
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".a-price .a-offscreen", # Most reliable - hidden text with full price
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"#corePrice_desktop .a-price .a-offscreen",
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"#corePriceDisplay_desktop_feature_div .a-price .a-offscreen",
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".a-price[data-a-color='price'] .a-offscreen",
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"#priceblock_ourprice", # Older Amazon layout
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"#priceblock_dealprice", # Deal prices
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"span.a-price-whole", # Visible whole number part
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]
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for selector in price_selectors:
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try:
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# Don't check visibility for .a-offscreen elements (they're hidden by design)
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element = page.locator(selector).first
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# For offscreen elements, just check if they exist and have text
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if "offscreen" in selector or "priceblock" in selector:
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price_text = await element.inner_text(timeout=2000)
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else:
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# For visible elements, check visibility first
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if await element.is_visible(timeout=2000):
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price_text = await element.inner_text()
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else:
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continue
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if price_text and price_text.strip():
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logger.info(f"Extracted Amazon price via {selector}: {price_text}")
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return price_text.strip()
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except Exception:
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continue
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# Try combination: whole + fraction
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try:
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whole = await page.locator("span.a-price-whole").first.inner_text()
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fraction = await page.locator("span.a-price-fraction").first.inner_text()
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if whole and fraction:
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price_text = f"{whole}{fraction}"
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logger.info(f"Extracted Amazon price from whole+fraction: {price_text}")
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return price_text
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except Exception:
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pass
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logger.warning("Could not extract Amazon price with any selector")
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return ""
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async def get_page_content(
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self,
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url: str,
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use_proxy: bool = False,
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wait_selector: str = None,
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extract_text: bool = False
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) -> tuple[str, str]:
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"""
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Fetch page content with full stealth lifecycle.
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Args:
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url: URL to fetch
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use_proxy: Whether to use proxy rotation
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wait_selector: CSS selector to wait for before capturing
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extract_text: If True, returns visible text; if False, returns HTML source
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Returns:
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(content, screenshot_path) where content is either HTML or visible text
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"""
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context = await self.get_context(use_proxy=use_proxy)
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page = await context.new_page()
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try:
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logger.info(f"Navigating to {url}")
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# Random delay before start
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await asyncio.sleep(random.uniform(0.5, 1.5))
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response = await page.goto(url, wait_until="domcontentloaded", timeout=60000)
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if response.status == 503:
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logger.warning(f"503 Detected on {url}")
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# Retry logic could be handled here or by caller,
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# for now we return what we have, caller decides
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# Handle pre-search interaction
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from app.core.search_config import SITE_CONFIGS
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for config in SITE_CONFIGS.values():
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if config["search_url"].split("/")[2] in url:
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# Handle complex interaction list
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if config.get("pre_search_interaction"):
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try:
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logger.info(f"Executing pre-search interaction sequence for {config['name']}")
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for step in config["pre_search_interaction"]:
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step_type = step.get("type")
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selector = step.get("selector")
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if step_type == "input":
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logger.info(f"Inputting text into {selector}")
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await page.fill(selector, step["value"])
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elif step_type == "click":
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logger.info(f"Clicking {selector}")
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# Use force=True to bypass potential overlays
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await page.click(selector, timeout=5000)
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elif step_type == "wait":
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seconds = step.get("seconds", 1)
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logger.info(f"Waiting {seconds}s")
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await asyncio.sleep(seconds)
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logger.info("Pre-search sequence completed")
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await asyncio.sleep(2) # Final stabilization wait
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except Exception as e:
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logger.warning(f"Pre-search sequence failed: {e}")
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# Handle simple selector (legacy support)
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elif config.get("pre_search_selector"):
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try:
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selector = config["pre_search_selector"]
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logger.info(f"Attempting pre-search interaction: {selector}")
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if await page.locator(selector).is_visible(timeout=5000):
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await page.click(selector)
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logger.info("Clicked pre-search selector")
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await asyncio.sleep(2) # Wait for transition
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except Exception as e:
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logger.warning(f"Pre-search interaction failed: {e}")
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break
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await self.handle_popups(page)
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await self.simulate_human_behavior(page)
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if wait_selector:
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try:
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await page.wait_for_selector(wait_selector, timeout=10000)
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except Exception:
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logger.warning(f"Wait selector {wait_selector} timed out")
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# For Amazon product pages, wait for price to load
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if "amazon" in url.lower() and "/dp/" in url:
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amazon_price_selectors = [
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".a-price .a-offscreen", # Main price element
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"#corePriceDisplay_desktop_feature_div", # Price section
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"#corePrice_desktop", # Alternative price container
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".a-price-whole", # Price number
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]
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for selector in amazon_price_selectors:
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try:
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await page.wait_for_selector(selector, timeout=5000, state="visible")
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logger.info(f"Amazon price element found: {selector}")
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break
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except Exception:
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continue
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else:
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logger.warning("No Amazon price selector found, proceeding anyway")
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# Wait for network idle to ensure dynamic content loads
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try:
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await page.wait_for_load_state("networkidle", timeout=5000)
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except Exception:
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pass
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# Extract content based on extract_text parameter
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if extract_text:
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# Extract visible text for AI analysis (monitoring use case)
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try:
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content = await page.inner_text('body')
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logger.info(f"Extracted {len(content)} chars of visible text from page")
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# Normalize French prices to English format for AI
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import re
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# Pattern 1: digits€XX → digits.XX € (e.g., "3€99" → "3.99 €")
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content = re.sub(r'(\d+)€(\d{2})\b', r'\1.\2 €', content)
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# Pattern 2: digits,XX € → digits.XX € (e.g., "3,99 €" → "3.99 €")
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content = re.sub(r'(\d+),(\d{2})\s*€', r'\1.\2 €', content)
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# Remove spaces in thousands: 1 234.56 → 1234.56
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content = re.sub(r'(\d+)\s(\d{3})', r'\1\2', content)
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logger.debug("Normalized French price formats to English")
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except Exception as e:
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# Fallback to HTML content if inner_text fails
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logger.warning(f"Failed to extract inner_text, falling back to HTML: {e}")
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content = await page.content()
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# Extract price directly from DOM for better accuracy
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extracted_price = None
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# For Amazon, use specific selectors
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if "amazon" in url.lower() and "/dp/" in url:
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extracted_price = await self._extract_amazon_price(page)
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if extracted_price:
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logger.info(f"Extracted Amazon price: {extracted_price}")
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else:
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# For other sites, try common price selectors
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extracted_price = await self._extract_generic_price(page)
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if extracted_price:
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logger.info(f"Extracted generic price: {extracted_price}")
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# Prepend extracted price to content if found
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if extracted_price:
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# Convert French format to English for AI
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import re
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normalized_price = extracted_price
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# Pattern 1: digits€digits → digits.digits € (e.g., "3€99" → "3.99 €")
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normalized_price = re.sub(r'(\d+)€(\d{2})', r'\1.\2 €', normalized_price)
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# Pattern 2: digits,digits → digits.digits (e.g., "3,99" → "3.99")
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normalized_price = re.sub(r'(\d+),(\d{2})', r'\1.\2', normalized_price)
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|
# Remove spaces in thousands separators if any (1 234,56 → 1234.56)
|
|
normalized_price = normalized_price.replace(' ', '')
|
|
|
|
content = f"PRIX DÉTECTÉ: {normalized_price}\n\n{content}"
|
|
logger.info(f"Prepended normalized price to content: {normalized_price} (original: {extracted_price})")
|
|
else:
|
|
logger.warning("Could not extract price from DOM, relying on text/image only")
|
|
else:
|
|
# Extract raw HTML for parsing (search use case)
|
|
content = await page.content()
|
|
logger.debug(f"Extracted {len(content)} chars of HTML from page")
|
|
|
|
|
|
# Take screenshot if needed for AI analysis
|
|
screenshot_path = ""
|
|
try:
|
|
import os
|
|
from datetime import datetime
|
|
|
|
# Ensure directory exists
|
|
screenshots_dir = "/app/screenshots"
|
|
if not os.path.exists(screenshots_dir):
|
|
os.makedirs(screenshots_dir, exist_ok=True)
|
|
|
|
timestamp = int(time.time() * 1000)
|
|
safe_name = "".join(c if c.isalnum() else "_" for c in url.split("//")[-1])[:50]
|
|
filename = f"{safe_name}_{timestamp}.jpg"
|
|
screenshot_path = f"{screenshots_dir}/{filename}"
|
|
|
|
# For Amazon, take focused screenshot of product info area
|
|
# Full-page screenshots of Amazon are too large and price becomes tiny when resized
|
|
is_amazon = "amazon" in url.lower() and "/dp/" in url
|
|
|
|
if is_amazon:
|
|
# Try to screenshot just the main product area containing price
|
|
try:
|
|
# Look for main product container
|
|
product_selectors = [
|
|
"#dp-container", # Main product container
|
|
"#ppd", # Product page data
|
|
"#centerCol", # Center column with price
|
|
]
|
|
screenshot_taken = False
|
|
for selector in product_selectors:
|
|
try:
|
|
element = page.locator(selector).first
|
|
if await element.is_visible():
|
|
await element.screenshot(path=screenshot_path, quality=85, type="jpeg")
|
|
logger.info(f"Amazon focused screenshot saved using {selector}")
|
|
screenshot_taken = True
|
|
break
|
|
except Exception:
|
|
continue
|
|
|
|
if not screenshot_taken:
|
|
# Fallback to viewport screenshot (better than full-page for Amazon)
|
|
await page.screenshot(path=screenshot_path, full_page=False, quality=80, type="jpeg")
|
|
logger.info("Amazon viewport screenshot saved (fallback)")
|
|
except Exception as e:
|
|
logger.warning(f"Amazon focused screenshot failed: {e}, using viewport")
|
|
await page.screenshot(path=screenshot_path, full_page=False, quality=80, type="jpeg")
|
|
else:
|
|
# For non-Amazon sites, use full_page to capture entire page
|
|
await page.screenshot(path=screenshot_path, full_page=True, quality=80, type="jpeg")
|
|
logger.info(f"Full-page screenshot saved to {screenshot_path}")
|
|
except Exception as e:
|
|
logger.warning(f"Failed to take screenshot: {e}")
|
|
|
|
return content, screenshot_path
|
|
|
|
except Exception as e:
|
|
logger.error(f"Error fetching {url}: {e}")
|
|
return "", ""
|
|
finally:
|
|
await context.close()
|
|
|
|
# Global instance
|
|
browserless_service = BrowserlessService()
|