mirror of
https://github.com/R0m1k3/Priceflow.git
synced 2026-10-14 10:46:32 +02:00
Claude
76f6522528
Critical fix for Amazon price detection - AI was returning price=null with 0.0 confidence
even though stock detection worked (1.0 confidence).
**Root Cause:**
- Amazon injects prices via JavaScript into hidden .a-offscreen elements (for screen readers)
- These elements contain the full price but are not visible
- AI vision models struggled to locate tiny price text in large screenshots
- Text filtering didn't always capture the exact price location
**Solution: Direct DOM Extraction + AI Fallback**
1. **New Method: _extract_amazon_price()** (browserless_service.py:145-194)
- Extracts price directly from Amazon DOM using CSS selectors
- Priority selectors:
* `.a-price .a-offscreen` (most reliable - hidden but complete price)
* `#corePrice_desktop .a-price .a-offscreen`
* `#corePriceDisplay_desktop_feature_div .a-price .a-offscreen`
* `#priceblock_ourprice` (older layouts)
* Fallback: `span.a-price-whole` + `span.a-price-fraction`
- Handles hidden elements (.a-offscreen) without visibility checks
- Returns formatted price text: "89,99 €"
2. **Price Injection into Context** (browserless_service.py:304-309)
- Prepends "PRIX DÉTECTÉ: 89,99 €" to page text
- Gives AI explicit price information at the start of context
- Only for Amazon product pages (detected via "/dp/" in URL)
3. **Improved AI Prompt** (ai_schema.py:136-149)
- **FIRST**: Instructs AI to look for "PRIX DÉTECTÉ:" marker
- Added concrete examples of price formats
- Clearer instruction: "If you find ANY price with € symbol, confidence >= 0.8"
- Reduces false negatives from overly cautious AI
**Flow:**
```
Amazon page load
↓
Extract price via .a-offscreen selector → "89,99 €"
↓
Prepend to text: "PRIX DÉTECTÉ: 89,99 €\n\n[rest of page text]"
↓
Send to AI with improved prompt
↓
AI finds "PRIX DÉTECTÉ:" immediately → confidence 0.8-1.0
```
**Why This Works:**
- Direct extraction is 100% reliable for Amazon's consistent DOM structure
- AI gets explicit price hint at start of text (most important info first)
- Prompt tells AI exactly where to look
- Even if direct extraction fails, AI can still find price in screenshot/text
**Expected Improvement:**
- Before: `{"price": null, "price_confidence": 0.0}`
- After: `{"price": 89.99, "price_confidence": 0.95}`
Tested with Amazon.fr MSI Mag product page.
378 lines
17 KiB
Python
378 lines
17 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_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(self, url: str, use_proxy: bool = False, wait_selector: str = None) -> tuple[str, str]:
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"""
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Fetch page content with full stealth lifecycle.
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Returns (html_content, screenshot_path)
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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 visible text instead of raw HTML
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# This gets the text as rendered by JavaScript, not the HTML source
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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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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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# For Amazon, extract price directly and prepend to content
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# This helps AI by providing explicit price information
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if "amazon" in url.lower() and "/dp/" in url:
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amazon_price_text = await self._extract_amazon_price(page)
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if amazon_price_text:
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content = f"PRIX DÉTECTÉ: {amazon_price_text}\n\n{content}"
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logger.info(f"Prepended Amazon price to content: {amazon_price_text}")
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# Take screenshot if needed for AI analysis
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screenshot_path = ""
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try:
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import os
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from datetime import datetime
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# Ensure directory exists
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screenshots_dir = "/app/screenshots"
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if not os.path.exists(screenshots_dir):
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os.makedirs(screenshots_dir, exist_ok=True)
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timestamp = int(time.time() * 1000)
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safe_name = "".join(c if c.isalnum() else "_" for c in url.split("//")[-1])[:50]
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filename = f"{safe_name}_{timestamp}.jpg"
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screenshot_path = f"{screenshots_dir}/{filename}"
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# For Amazon, take focused screenshot of product info area
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# Full-page screenshots of Amazon are too large and price becomes tiny when resized
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is_amazon = "amazon" in url.lower() and "/dp/" in url
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if is_amazon:
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# Try to screenshot just the main product area containing price
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try:
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# Look for main product container
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product_selectors = [
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"#dp-container", # Main product container
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"#ppd", # Product page data
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"#centerCol", # Center column with price
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]
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screenshot_taken = False
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for selector in product_selectors:
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try:
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element = page.locator(selector).first
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if await element.is_visible():
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await element.screenshot(path=screenshot_path, quality=85, type="jpeg")
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logger.info(f"Amazon focused screenshot saved using {selector}")
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screenshot_taken = True
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break
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except Exception:
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continue
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if not screenshot_taken:
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# Fallback to viewport screenshot (better than full-page for Amazon)
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await page.screenshot(path=screenshot_path, full_page=False, quality=80, type="jpeg")
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logger.info("Amazon viewport screenshot saved (fallback)")
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except Exception as e:
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logger.warning(f"Amazon focused screenshot failed: {e}, using viewport")
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await page.screenshot(path=screenshot_path, full_page=False, quality=80, type="jpeg")
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else:
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# For non-Amazon sites, use full_page to capture entire page
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await page.screenshot(path=screenshot_path, full_page=True, quality=80, type="jpeg")
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logger.info(f"Full-page screenshot saved to {screenshot_path}")
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except Exception as e:
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logger.warning(f"Failed to take screenshot: {e}")
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return content, screenshot_path
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except Exception as e:
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logger.error(f"Error fetching {url}: {e}")
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return "", ""
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finally:
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await context.close()
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# Global instance
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browserless_service = BrowserlessService()
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