# routers/scraping_router.py
from fastapi import APIRouter, HTTPException, Header
from pydantic import BaseModel
import os
from typing import Optional
import logging
import re
from helpers.ai_client import AIClient

# Set up logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)

router = APIRouter(
    prefix="/api/v1",
    tags=["Web Scraping"]
)

# Initialize AI client
ai_client = AIClient()

class CheerioScriptRequest(BaseModel):
    html: str
    user_input: str
    api_key: Optional[str] = None

@router.post("/generate-cheerio-script")
async def generate_cheerio_script(
    request: CheerioScriptRequest,
    x_api_key: str = Header(None)
):
    try:
        system_prompt = f"""return cheerio script to extract {request.user_input} from the following html, 
        enclose the cheerio script in <cheerio_script> .. </cheerio_script> format, {request.html}"""
        
        response = ai_client.chat(
            prompt=request.user_input,
            system_message=system_prompt,
            model_id="openai/gpt-4o-mini",
            api_key=x_api_key
        )
        
        # Extract Cheerio script using regex
        cheerio_pattern = r'<cheerio_script>(.*?)</cheerio_script>'
        matches = re.search(cheerio_pattern, response, re.DOTALL)
        
        if matches:
            cheerio_script = matches.group(1).strip()
            return {"cheerio_script": cheerio_script}
        else:
            raise HTTPException(
                status_code=422,
                detail="No valid Cheerio script found in the response"
            )
            
    except Exception as e:
        logger.error(f"Error generating Cheerio script: {e}")
        raise HTTPException(status_code=500, detail=str(e))