from duckduckgo_search import DDGS
from openai import OpenAI
import os

openai_client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))

def web_search(topic, max_results=3):
    try:
        with DDGS() as ddgs:
            results = list(ddgs.text(topic, max_results=max_results))
        return str(results)
    except Exception as e:
        return f"Search Error: {str(e)}"

def summarize_content(text):
    try:
        response = openai_client.chat.completions.create(
            model="gpt-4o",
            messages=[
                {"role": "system", "content": "You are an expert summarizer. Provide concise, high-value insights."},
                {"role": "user", "content": f"Summarize the following content: {text}"}
            ]
        )
        return response.choices[0].message.content
    except Exception as e:
        return f"Summarization Error: {str(e)}"

def analyze_product_trends(category):
    try:
        with DDGS() as ddgs:
            # Search for trends and top selling
            results = list(ddgs.text(f"high margin top selling products in {category} 2026", max_results=5))
        
        # Analyze with OpenAI
        prompt = f"Analyze these search results for {category} products and identify high-margin, top-selling potential items: {results}"
        response = openai_client.chat.completions.create(
            model="gpt-4o",
            messages=[
                {"role": "system", "content": "You are a product trend analyst. Identify high-margin, top-selling products based on search data."},
                {"role": "user", "content": prompt}
            ]
        )
        return response.choices[0].message.content
    except Exception as e:
        return f"Analysis Error: {str(e)}"