Merge pull request #26 from R0m1k3/claude/design-product-search-01Ea9dWZqZpuKFwBwVmp26PG

feat: Replace DuckDuckGo with direct site search
This commit is contained in:
LogiFlow authored and GitHub committed 2025-11-22 16:02:54 +01:00
commit 6b705d1117
7 files changed
+379 -198

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+15 -9
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@@ -53,15 +53,21 @@ def run_migrations():
conn.commit()
logger.info("search_sites table created")
else:
# 2. Add price_selector column if missing
result = conn.execute(text(
"SELECT 1 FROM information_schema.columns WHERE table_name = 'search_sites' AND column_name = 'price_selector'"
))
if not result.fetchone():
logger.info("Adding price_selector column to search_sites...")
conn.execute(text("ALTER TABLE search_sites ADD COLUMN price_selector VARCHAR(512)"))
conn.commit()
logger.info("price_selector column added")
# 2. Add missing columns
columns_to_add = [
("price_selector", "VARCHAR(512)"),
("search_url", "VARCHAR(1024)"),
("product_link_selector", "VARCHAR(512)"),
]
for col_name, col_type in columns_to_add:
result = conn.execute(text(
f"SELECT 1 FROM information_schema.columns WHERE table_name = 'search_sites' AND column_name = '{col_name}'"
))
if not result.fetchone():
logger.info(f"Adding {col_name} column to search_sites...")
conn.execute(text(f"ALTER TABLE search_sites ADD COLUMN {col_name} {col_type}"))
conn.commit()
logger.info(f"{col_name} column added")
@asynccontextmanager
+2
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@@ -92,5 +92,7 @@ class SearchSite(Base):
priority: int = Column(Integer, default=0) # type: ignore # Ordre d'affichage
requires_js: bool = Column(Boolean, default=False) # type: ignore # Force Browserless si True
price_selector: str | None = Column(String, nullable=True) # type: ignore # Sélecteur CSS pour le prix
search_url: str | None = Column(String, nullable=True) # type: ignore # URL de recherche avec {query} placeholder
product_link_selector: str | None = Column(String, nullable=True) # type: ignore # Sélecteur CSS pour les liens produits
created_at: datetime = Column(DateTime, default=lambda: datetime.now(UTC)) # type: ignore
updated_at: datetime = Column(DateTime, default=lambda: datetime.now(UTC), onupdate=lambda: datetime.now(UTC)) # type: ignore
+6
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@@ -63,6 +63,8 @@ class SearchSiteCreate(BaseModel):
priority: int = 0
requires_js: bool = False
price_selector: str | None = None
search_url: str | None = None # URL avec {query} placeholder, ex: https://amazon.fr/s?k={query}
product_link_selector: str | None = None # Sélecteur CSS pour les liens produits
class SearchSiteUpdate(BaseModel):
@@ -74,6 +76,8 @@ class SearchSiteUpdate(BaseModel):
priority: int | None = None
requires_js: bool | None = None
price_selector: str | None = None
search_url: str | None = None
product_link_selector: str | None = None
class SearchSiteResponse(BaseModel):
@@ -86,6 +90,8 @@ class SearchSiteResponse(BaseModel):
priority: int
requires_js: bool
price_selector: str | None = None
search_url: str | None = None
product_link_selector: str | None = None
created_at: datetime | None = None
updated_at: datetime | None = None
model_config = ConfigDict(from_attributes=True)
+334
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@@ -0,0 +1,334 @@
"""
Direct Search Service - Recherche directement sur les sites e-commerce
Au lieu d'utiliser un moteur de recherche externe, scrape les pages de recherche de chaque site.
"""
import asyncio
import logging
import re
from urllib.parse import quote_plus, urljoin, urlparse
import httpx
from bs4 import BeautifulSoup
logger = logging.getLogger(__name__)
class SearchResult:
"""Résultat de recherche"""
def __init__(self, url: str, title: str, snippet: str, source: str):
self.url = url
self.title = title
self.snippet = snippet
self.source = source
def __repr__(self):
return f"SearchResult(url={self.url}, title={self.title[:30]}...)"
# Configuration des sites avec leurs sélecteurs par défaut
DEFAULT_SITE_CONFIGS = {
"amazon.fr": {
"search_url": "https://www.amazon.fr/s?k={query}",
"product_selector": "div[data-component-type='s-search-result'] a.a-link-normal[href*='/dp/']",
"title_selector": "span.a-text-normal",
},
"amazon.com": {
"search_url": "https://www.amazon.com/s?k={query}",
"product_selector": "div[data-component-type='s-search-result'] a.a-link-normal[href*='/dp/']",
"title_selector": "span.a-text-normal",
},
"action.com": {
"search_url": "https://www.action.com/fr-fr/search/?q={query}",
"product_selector": "a.product-card__link",
"title_selector": ".product-card__title",
},
"fnac.com": {
"search_url": "https://www.fnac.com/SearchResult/ResultList.aspx?Search={query}",
"product_selector": "a.Article-title",
"title_selector": "a.Article-title",
},
"cdiscount.com": {
"search_url": "https://www.cdiscount.com/search/10/{query}.html",
"product_selector": "a.prdtBImg",
"title_selector": ".prdtTit",
},
"darty.com": {
"search_url": "https://www.darty.com/nav/recherche?text={query}",
"product_selector": "a.product-card__link",
"title_selector": ".product-card__title",
},
"boulanger.com": {
"search_url": "https://www.boulanger.com/resultats?tr={query}",
"product_selector": "a.product-list__link",
"title_selector": ".product-list__title",
},
}
async def search(
query: str,
sites: list[dict],
max_results: int = 20,
timeout: float = 15.0,
) -> list[SearchResult]:
"""
Recherche directement sur les sites e-commerce.
Args:
query: Terme de recherche
sites: Liste de dicts avec {domain, search_url, product_link_selector, name}
max_results: Nombre maximum de résultats
timeout: Timeout par requête
Returns:
Liste de SearchResult
"""
if not sites:
logger.warning("Aucun site configuré pour la recherche")
return []
all_results = []
results_per_site = max(5, max_results // len(sites))
# Rechercher sur chaque site en parallèle
tasks = []
for site in sites:
task = asyncio.create_task(
_search_site(query, site, results_per_site, timeout)
)
tasks.append(task)
results = await asyncio.gather(*tasks, return_exceptions=True)
for site, result in zip(sites, results):
if isinstance(result, Exception):
logger.error(f"Erreur recherche sur {site.get('domain')}: {result}")
continue
if result:
all_results.extend(result)
logger.info(f"Recherche directe: {len(all_results)} résultats totaux")
return all_results[:max_results]
async def _search_site(
query: str,
site: dict,
max_results: int,
timeout: float,
) -> list[SearchResult]:
"""Recherche sur un site spécifique"""
domain = site.get("domain", "").lower()
search_url = site.get("search_url") or _get_default_search_url(domain)
product_selector = site.get("product_link_selector") or _get_default_product_selector(domain)
site_name = site.get("name", domain)
if not search_url:
logger.warning(f"Pas d'URL de recherche configurée pour {domain}")
return []
# Construire l'URL de recherche
encoded_query = quote_plus(query)
final_url = search_url.replace("{query}", encoded_query)
logger.info(f"Recherche directe sur {domain}: {final_url}")
try:
async with httpx.AsyncClient(timeout=timeout, follow_redirects=True) as client:
response = await client.get(
final_url,
headers={
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36",
"Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.8",
"Accept-Language": "fr-FR,fr;q=0.9,en;q=0.8",
"Accept-Encoding": "gzip, deflate, br",
"DNT": "1",
"Connection": "keep-alive",
"Upgrade-Insecure-Requests": "1",
},
)
response.raise_for_status()
# Parser le HTML
soup = BeautifulSoup(response.text, "html.parser")
results = []
# Extraire les liens produits
if product_selector:
links = soup.select(product_selector)
else:
# Fallback: chercher tous les liens qui ressemblent à des produits
links = _find_product_links(soup, domain)
logger.info(f"{domain}: {len(links)} liens produits trouvés")
seen_urls = set()
for link in links[:max_results * 2]: # Prendre plus pour filtrer
href = link.get("href", "")
if not href:
continue
# Construire l'URL complète
if href.startswith("/"):
href = f"https://{domain}{href}"
elif not href.startswith("http"):
href = urljoin(final_url, href)
# Nettoyer l'URL
href = _clean_product_url(href)
# Éviter les doublons
if href in seen_urls:
continue
seen_urls.add(href)
# Vérifier que c'est bien un lien vers ce domaine
url_domain = _extract_domain(href)
if domain not in url_domain:
continue
# Extraire le titre
title = _extract_title(link)
if not title or len(title) < 3:
continue
results.append(SearchResult(
url=href,
title=title,
snippet="",
source=domain,
))
if len(results) >= max_results:
break
logger.info(f"{domain}: {len(results)} résultats extraits")
return results
except httpx.TimeoutException:
logger.error(f"Timeout lors de la recherche sur {domain}")
return []
except httpx.HTTPStatusError as e:
logger.error(f"Erreur HTTP {e.response.status_code} sur {domain}")
return []
except Exception as e:
logger.error(f"Erreur lors de la recherche sur {domain}: {e}")
return []
def _get_default_search_url(domain: str) -> str | None:
"""Retourne l'URL de recherche par défaut pour un domaine"""
# Chercher une correspondance exacte ou partielle
for key, config in DEFAULT_SITE_CONFIGS.items():
if key in domain or domain in key:
return config.get("search_url")
return None
def _get_default_product_selector(domain: str) -> str | None:
"""Retourne le sélecteur de produits par défaut pour un domaine"""
for key, config in DEFAULT_SITE_CONFIGS.items():
if key in domain or domain in key:
return config.get("product_selector")
return None
def _find_product_links(soup: BeautifulSoup, domain: str) -> list:
"""Trouve les liens produits de manière générique"""
links = []
# Patterns communs pour les liens produits
patterns = [
"a[href*='/product']",
"a[href*='/p/']",
"a[href*='/dp/']",
"a[href*='/item']",
"a[href*='/article']",
"a.product",
"a.product-link",
"a.product-card",
".product a",
".product-card a",
".product-tile a",
".item a",
]
for pattern in patterns:
found = soup.select(pattern)
if found:
links.extend(found)
# Dédupliquer
seen = set()
unique_links = []
for link in links:
href = link.get("href", "")
if href and href not in seen:
seen.add(href)
unique_links.append(link)
return unique_links
def _extract_title(element) -> str:
"""Extrait le titre d'un élément"""
# Essayer différentes méthodes
title = element.get("title", "")
if title:
return title.strip()
# Texte de l'élément
text = element.get_text(strip=True)
if text and len(text) > 3:
return text[:200]
# Attribut aria-label
label = element.get("aria-label", "")
if label:
return label.strip()
# Image alt text
img = element.find("img")
if img:
alt = img.get("alt", "")
if alt:
return alt.strip()
return ""
def _clean_product_url(url: str) -> str:
"""Nettoie une URL produit (retire les paramètres de tracking, etc.)"""
# Pour Amazon, simplifier l'URL
if "amazon." in url and "/dp/" in url:
match = re.search(r"(/dp/[A-Z0-9]{10})", url)
if match:
domain_match = re.search(r"(https?://[^/]+)", url)
if domain_match:
return domain_match.group(1) + match.group(1)
return url
def _extract_domain(url: str) -> str:
"""Extrait le domaine d'une URL"""
try:
parsed = urlparse(url)
domain = parsed.netloc.lower()
if domain.startswith("www."):
domain = domain[4:]
return domain
except Exception:
return ""
async def health_check() -> bool:
"""Vérifie la connectivité"""
try:
async with httpx.AsyncClient(timeout=5.0) as client:
response = await client.get("https://www.google.com")
return response.status_code == 200
except Exception:
return False
-178
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@@ -1,178 +0,0 @@
"""
DuckDuckGo Search Service - Recherche de produits via DuckDuckGo
"""
import asyncio
import logging
from urllib.parse import urlparse
from duckduckgo_search import DDGS
logger = logging.getLogger(__name__)
class SearchResult:
"""Résultat de recherche DuckDuckGo"""
def __init__(self, url: str, title: str, snippet: str, source: str):
self.url = url
self.title = title
self.snippet = snippet
self.source = source
def __repr__(self):
return f"SearchResult(url={self.url}, title={self.title[:30]}...)"
async def search(
query: str,
domains: list[str],
max_results: int = 20,
timeout: float = 15.0,
) -> list[SearchResult]:
"""
Effectue une recherche DuckDuckGo ciblée sur les domaines spécifiés.
Recherche chaque domaine séparément pour de meilleurs résultats.
Args:
query: Terme de recherche (ex: "lutin de noel")
domains: Liste des domaines à cibler (ex: ["amazon.fr", "fnac.com"])
max_results: Nombre maximum de résultats à retourner
timeout: Timeout en secondes
Returns:
Liste de SearchResult avec url, title, snippet, source
"""
if not domains:
logger.warning("Aucun domaine spécifié pour la recherche")
return []
# Nettoyer les domaines (enlever protocole, www, etc.)
clean_domains = [_clean_domain(d) for d in domains]
clean_domains = [d for d in clean_domains if d]
logger.info(f"Domaines ciblés: {clean_domains}")
all_results = []
seen_urls = set()
results_per_domain = max(5, max_results // len(clean_domains))
# Rechercher sur chaque domaine séparément
for domain in clean_domains:
# Format de requête simple: "query site:domain"
full_query = f"{query} site:{domain}"
logger.info(f"Recherche DuckDuckGo: {full_query}")
try:
loop = asyncio.get_event_loop()
results = await loop.run_in_executor(
None,
lambda d=domain, q=full_query: _do_search(q, results_per_domain, timeout),
)
logger.info(f"DuckDuckGo [{domain}]: {len(results)} résultats bruts")
for item in results:
url = item.get("href", "") or item.get("link", "")
if not url or url in seen_urls:
continue
seen_urls.add(url)
url_domain = _extract_domain(url)
# Vérifier que l'URL appartient au domaine ciblé
if domain not in url_domain and not url_domain.endswith(domain):
logger.debug(f"URL ignorée (domaine {url_domain} != {domain}): {url}")
continue
all_results.append(
SearchResult(
url=url,
title=item.get("title", ""),
snippet=item.get("body", "") or item.get("snippet", ""),
source=url_domain,
)
)
if len(all_results) >= max_results:
break
except Exception as e:
logger.error(f"Erreur recherche sur {domain}: {e}")
continue
if len(all_results) >= max_results:
break
logger.info(f"DuckDuckGo: {len(all_results)} résultats totaux")
return all_results
def _do_search(query: str, max_results: int, timeout: float) -> list[dict]:
"""Effectue la recherche synchrone DuckDuckGo"""
try:
with DDGS() as ddgs:
results = list(ddgs.text(
query,
region="fr-fr",
safesearch="off",
max_results=max_results,
))
logger.info(f"DDGS.text('{query[:50]}...') retourne {len(results)} résultats")
# Log les premiers résultats pour debug
for i, r in enumerate(results[:3]):
logger.info(f" Résultat {i+1}: {r.get('href', 'N/A')[:80]}")
return results
except Exception as e:
logger.error(f"Erreur lors de la recherche DuckDuckGo: {e}")
return []
def _extract_domain(url: str) -> str:
"""Extrait le domaine d'une URL"""
try:
parsed = urlparse(url)
domain = parsed.netloc.lower()
# Retirer www. si présent
if domain.startswith("www."):
domain = domain[4:]
return domain
except Exception:
return ""
def _clean_domain(domain: str) -> str:
"""Nettoie un domaine (enlève protocole, www, slash final, etc.)"""
if not domain:
return ""
domain = domain.strip()
# Si c'est une URL complète, extraire le domaine
if domain.startswith(("http://", "https://")):
domain = _extract_domain(domain)
else:
# Nettoyer le domaine directement
domain = domain.lower()
if domain.startswith("www."):
domain = domain[4:]
# Retirer le slash final
domain = domain.rstrip("/")
return domain
async def health_check() -> bool:
"""Vérifie que DuckDuckGo est accessible"""
try:
loop = asyncio.get_event_loop()
results = await loop.run_in_executor(
None,
lambda: _do_search("test", 1, 5.0),
)
return len(results) > 0
except Exception as e:
logger.warning(f"DuckDuckGo health check failed: {e}")
return False
+20 -10
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@@ -1,6 +1,6 @@
"""
Search Service - Orchestrateur de recherche de produits
Combine DuckDuckGo + Light Scraper + Browserless fallback
Combine recherche directe sur sites + Light Scraper + Browserless fallback
"""
import asyncio
@@ -12,7 +12,7 @@ from sqlalchemy.orm import Session
from app.models import SearchSite
from app.schemas import SearchProgress, SearchResultItem
from app.services import ai_service, duckduckgo_service, light_scraper_service
from app.services import ai_service, direct_search_service, light_scraper_service
from app.services.scraper_service import ScraperService
from app.services.settings_service import SettingsService
@@ -34,7 +34,7 @@ async def search_products(
Recherche des produits sur les sites configurés.
Flux:
1. SearXNG recherche les URLs
1. Recherche directe sur les pages de recherche de chaque site
2. Light scraper tente extraction HTTP rapide
3. Browserless fallback pour les sites JS
@@ -65,21 +65,31 @@ async def search_products(
)
return
domains = [site.domain for site in sites]
# Préparer les données des sites pour la recherche directe
sites_data = [
{
"domain": site.domain,
"name": site.name,
"search_url": site.search_url,
"product_link_selector": site.product_link_selector,
"requires_js": site.requires_js,
}
for site in sites
]
site_map = {site.domain: site for site in sites}
# Phase 1: Recherche DuckDuckGo
# Phase 1: Recherche directe sur les sites
yield SearchProgress(
status="searching",
total=0,
completed=0,
message=f"Recherche sur {len(domains)} sites...",
message=f"Recherche sur {len(sites)} sites...",
results=[],
)
search_results = await duckduckgo_service.search(
search_results = await direct_search_service.search(
query=query,
domains=domains,
sites=sites_data,
max_results=max_results,
)
@@ -94,7 +104,7 @@ async def search_products(
return
total = len(search_results)
logger.info(f"DuckDuckGo: {total} URLs trouvées pour '{query}'")
logger.info(f"Recherche directe: {total} URLs trouvées pour '{query}'")
# Phase 2: Scraping des URLs
results: list[SearchResultItem] = []
@@ -103,7 +113,7 @@ async def search_products(
# Créer un sémaphore pour limiter la concurrence
semaphore = asyncio.Semaphore(parallel_limit)
async def process_url(search_result: duckduckgo_service.SearchResult) -> SearchResultItem | None:
async def process_url(search_result: direct_search_service.SearchResult) -> SearchResultItem | None:
async with semaphore:
url = search_result.url
domain = search_result.source
+2 -1
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@@ -23,7 +23,8 @@ dependencies = [
"alembic",
"tenacity",
"slowapi",
"duckduckgo-search",
"beautifulsoup4",
"lxml",
]
[build-system]