#!/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)