mirror of
https://github.com/R0m1k3/Priceflow.git
synced 2026-10-15 11:17:06 +02:00
151 lines
6.0 KiB
Python
151 lines
6.0 KiB
Python
from bs4 import BeautifulSoup
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from app.services.parsers.base_parser import BaseParser, ProductResult
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import logging
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import re
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logger = logging.getLogger(__name__)
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class GifiParser(BaseParser):
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def __init__(self):
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super().__init__("gifi.fr", "https://www.gifi.fr")
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def parse_search_results(self, html: str, query: str, search_url: str) -> list[ProductResult]:
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soup = BeautifulSoup(html, "html.parser")
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results = []
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# Gifi products
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# Config: a.link
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# Wait selector: .product-tile
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products = soup.select(".product-tile, div[class*='product-tile']")
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for product in products:
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try:
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link_el = product.select_one("a.link") or product.find("a")
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if not link_el:
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continue
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href = link_el.get('href')
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url = self.make_absolute_url(href)
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# Title: Try specific classes first to avoid getting rating text etc.
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title = None
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title_el = product.select_one(".pdp-link > a, .link, [class*='name'], [class*='title']")
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if title_el:
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title = title_el.get_text(strip=True)
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if not title:
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title = link_el.get_text(strip=True)
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if not title:
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continue
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# Image extraction
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# Priority: picture img -> img with class -> any img
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img_url = None
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# 1. Try picture source (often high res)
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picture = product.select_one("picture")
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if picture:
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source = picture.find("source")
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if source and source.get("srcset"):
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img_url = source.get("srcset").split(",")[0].split()[0]
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if not img_url:
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img = picture.find("img")
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if img:
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img_url = self._get_image_src(img)
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# 2. Try direct image selectors
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if not img_url:
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img_url = self.extract_image_url(product, [
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"img.tile-image",
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"img[class*='product']",
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".image-container img"
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])
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price = None
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# 1. Try specific price selectors
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price_el = product.select_one(".price, .value, [class*='price'], .sales .value")
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if price_el:
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price = self.parse_price_text(price_el.get_text())
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# 2. Fallback: Regex on the entire product text
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if price is None:
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product_text = product.get_text(separator=" ", strip=True)
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# Look for price pattern: number followed by € or EUR
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# e.g. "7,99 €", "12 €", "12.50€"
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price_match = re.search(r'(\d+(?:[.,]\d+)?)\s*(?:€|EUR)', product_text, re.IGNORECASE)
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if price_match:
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price = self.parse_price_text(price_match.group(0))
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results.append(ProductResult(
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title=title,
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url=url,
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source="Gifi",
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price=price,
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currency="EUR",
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in_stock=True,
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image_url=img_url,
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snippet=f"Product from Gifi"
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))
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except Exception as e:
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logger.error(f"Error parsing Gifi product: {e}")
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continue
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logger.info(f"GifiParser found {len(results)} results")
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return results
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def parse_product_details(self, html: str, product_url: str) -> dict:
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soup = BeautifulSoup(html, "html.parser")
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# 1. Price extraction
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price = None
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# Specific Gifi product page price selectors
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price_el = soup.select_one(".prices .price .value, .product-price .price .value, .price-sales .value")
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if price_el:
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price = self.parse_price_text(price_el.get_text())
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if price is None:
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# Fallback to schema.org data if present
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import json
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scripts = soup.find_all("script", type="application/ld+json")
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for script in scripts:
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if script.string:
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try:
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data = json.loads(script.string)
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if isinstance(data, dict):
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if data.get("@type") == "Product" and "offers" in data:
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offers = data["offers"]
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if isinstance(offers, list) and offers:
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offers = offers[0]
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if "price" in offers:
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price = float(offers["price"])
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break
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elif data.get("@type") == "Offer" and "price" in data:
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price = float(data["price"])
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break
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except:
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pass
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if price is None:
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# Text fallback
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price_match = re.search(r'(\d+(?:[.,]\d+)?)\s*(?:€|EUR)', soup.get_text(), re.IGNORECASE)
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if price_match:
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price = self.parse_price_text(price_match.group(0))
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# 2. Stock extraction
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in_stock = True # specific availability check might be complex, default true if page loads
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# Check for "Out of stock" messages
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exhausted_el = soup.select_one(".availability-msg.exhausted, .availability-msg.out-of-stock")
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if exhausted_el:
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in_stock = False
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return {
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"price": price,
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"in_stock": in_stock,
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"currency": "EUR"
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}
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