chore: sync project files

analyze_cdiscount.py

@@ -0,0 +1,111 @@
+#!/usr/bin/env python3
+"""Analyse du HTML Cdiscount pour identifier les sélecteurs."""
+
+from bs4 import BeautifulSoup
+import json
+
+# Lire le HTML
+with open("scraped/cdiscount_tuf608umrv004_pw.html", "r", encoding="utf-8") as f:
+    html = f.read()
+
+soup = BeautifulSoup(html, "lxml")
+
+print("=" * 80)
+print("ANALYSE HTML CDISCOUNT")
+print("=" * 80)
+
+# 1. Titre
+print("\n1. TITRE")
+print("-" * 80)
+h1 = soup.find("h1")
+if h1:
+    print(f"Tag: {h1.name}")
+    print(f"Classes: {h1.get('class')}")
+    print(f"data-e2e: {h1.get('data-e2e')}")
+    print(f"Texte: {h1.get_text().strip()[:100]}")
+
+# 2. Prix
+print("\n2. PRIX")
+print("-" * 80)
+# Chercher dans JSON-LD
+json_ld_scripts = soup.find_all("script", {"type": "application/ld+json"})
+for script in json_ld_scripts:
+    try:
+        data = json.loads(script.string)
+        if isinstance(data, dict) and data.get("@type") == "Product":
+            print(f"Schema.org Product trouvé!")
+            print(f"  name: {data.get('name')}")
+            print(f"  price: {data.get('offers', {}).get('price')}")
+            print(f"  currency: {data.get('offers', {}).get('priceCurrency')}")
+            print(f"  availability: {data.get('offers', {}).get('availability')}")
+            break
+    except:
+        pass
+
+# Chercher les classes de prix
+price_divs = soup.find_all("div", class_=lambda x: x and "price" in x.lower())
+print(f"\nDivs avec 'price' dans la classe: {len(price_divs)}")
+for div in price_divs[:3]:
+    print(f"  - {div.get('class')} : {div.get_text().strip()[:50]}")
+
+# 3. Images
+print("\n3. IMAGES")
+print("-" * 80)
+img_product = soup.find_all("img", alt=True)
+print(f"Images avec alt: {len(img_product)}")
+for img in img_product[:5]:
+    alt = img.get("alt", "")
+    src = img.get("src", "")
+    if "TUF" in alt or "ASUS" in alt:
+        print(f"  - alt: {alt[:60]}")
+        print(f"    src: {src[:80]}")
+
+# 4. Stock
+print("\n4. DISPONIBILITÉ")
+print("-" * 80)
+availability_divs = soup.find_all(["div", "span"], class_=lambda x: x and ("availability" in str(x).lower() or "stock" in str(x).lower()))
+print(f"Éléments avec 'availability'/'stock': {len(availability_divs)}")
+for elem in availability_divs[:5]:
+    print(f"  - {elem.name} {elem.get('class')} : {elem.get_text().strip()[:60]}")
+
+# 5. Catégorie / Breadcrumb
+print("\n5. CATÉGORIE / BREADCRUMB")
+print("-" * 80)
+breadcrumbs = soup.find_all(["nav", "ol", "ul"], class_=lambda x: x and "breadcrumb" in str(x).lower())
+for bc in breadcrumbs[:2]:
+    print(f"Tag: {bc.name}, Classes: {bc.get('class')}")
+    links = bc.find_all("a")
+    for link in links:
+        print(f"  - {link.get_text().strip()}")
+
+# 6. Specs / Caractéristiques
+print("\n6. CARACTÉRISTIQUES TECHNIQUES")
+print("-" * 80)
+specs_sections = soup.find_all(["table", "dl", "div"], class_=lambda x: x and ("spec" in str(x).lower() or "characteristic" in str(x).lower() or "feature" in str(x).lower()))
+print(f"Sections de specs: {len(specs_sections)}")
+for section in specs_sections[:3]:
+    print(f"  - {section.name} {section.get('class')}")
+    text = section.get_text().strip()[:200]
+    print(f"    {text}")
+
+# 7. SKU / Référence
+print("\n7. SKU / RÉFÉRENCE PRODUIT")
+print("-" * 80)
+# Chercher dans JSON-LD
+for script in json_ld_scripts:
+    try:
+        data = json.loads(script.string)
+        if isinstance(data, dict) and data.get("@type") == "Product":
+            print(f"SKU: {data.get('sku')}")
+            print(f"mpn: {data.get('mpn')}")
+            break
+    except:
+        pass
+
+# Chercher dans l'URL ou les data attributes
+print("\nDans l'URL: f-10709-tuf608umrv004.html")
+print("Possible SKU: tuf608umrv004")
+
+print("\n" + "=" * 80)
+print("FIN DE L'ANALYSE")
+print("=" * 80)