def extract_topic_from_query(user_message):
    prompt = f"""
    Extract only the main topic or subject from this user query. 
    Return 1–4 words only. 
    No sentences. No extra text.

    Query: "{user_message}"
    Topic:
    """

    try:
        response = chat(model="llama3.2", messages=[{"role": "user", "content": prompt}])
        topic = response["message"]["content"].strip()
        return topic
    except:
        return user_message

def fetch_openlibrary_by_title_or_subject(query, limit=5):
    topic = extract_topic_from_query(query)
    url = "https://www.googleapis.com/books/v1/volumes"
    search_query = f"title:({topic}) OR subject:({topic})"
    params = {"q": search_query, "limit": limit}

    try:
        response = requests.get(url, params=params, timeout=10)
        data = response.json()
    except Exception as e:
        print("Google Books Error:", e)
        return []

    items = data.get("items", [])
    results = []

    for item in items:
        volume = item.get("volumeInfo", {})
        title = volume.get("title") or "Unknown Title"
        authors = volume.get("authors", [])
        author = ", ".join(authors) if authors else "Unknown"
        year = volume.get("publishedDate", "")
        desc = volume.get("description", "")[:300]
        link = volume.get("infoLink", "")

        results.append({
            "title": title,
            "author": author,
            "year": year,
            "desc": desc,
            "link": link
        })

    return results