import os
import json
import requests
from dotenv import load_dotenv
from openai import OpenAI
from serpapi import GoogleSearch

# ANSI color codes
class Colors:
    CYAN = '\033[96m'
    YELLOW = '\033[93m'
    GREEN = '\033[92m'
    RED = '\033[91m'
    MAGENTA = '\033[95m'
    BLUE = '\033[94m'
    RESET = '\033[0m'

# Load environment variables
load_dotenv()

# Initialize clients
client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))
firecrawl_api_key = os.getenv("FIRECRAWL_API_KEY")

def search_google(query):
    """Search Google using SerpAPI and return top results."""
    print(f"{Colors.YELLOW}Searching Google for '{query}'...{Colors.RESET}")
    search = GoogleSearch({"q": query, "api_key": os.getenv("SERP_API_KEY")})
    return search.get_dict().get("organic_results", [])

def select_urls_with_o1(company, objective, serp_results):
    """
    Use O1 to select the most relevant URLs from SERP results for the given company and objective.
    Returns a JSON object with a "selected_urls" property that is an array of strings.
    """
    try:
        # Prepare the data for O1
        serp_data = [{"title": r.get("title"), "link": r.get("link"), "snippet": r.get("snippet")} 
                     for r in serp_results if r.get("link")]

        response = client.chat.completions.create(
            model="o1-2024-12-17",
            messages=[
                {
                    "role": "developer",
                    "content": "You select URLs from the SERP results relevant to the company and objective."
                },
                {
                    "role": "user",
                    "content": (
                        f"Company: {company}\n"
                        f"Objective: {objective}\n"
                        f"SERP Results: {json.dumps(serp_data)}\n\n"
                        "Return a JSON object with a property 'selected_urls' that contains an array "
                        "of URLs most likely to help meet the objective. Add a /* to the end of the URL if you think it should search all of the pages in the site. Do not return any social media links. For example: {\"selected_urls\": [\"https://example.com\", \"https://example2.com\"]}"
                    )
                }
            ],
            response_format={
                "type": "json_schema",
                "json_schema": {
                    "name": "selected_urls_object",
                    "schema": {
                        "type": "object",
                        "properties": {
                            "selected_urls": {
                                "type": "array",
                                "items": {
                                    "type": "string"
                                }
                            }
                        },
                        "required": ["selected_urls"],
                        "additionalProperties": False
                    }
                }
            }
        )

        # The response is guaranteed to follow the specified JSON schema
        result = json.loads(response.choices[0].message.content)
        urls = result.get("selected_urls", [])
        return urls

    except Exception as e:
        print(f"{Colors.RED}Error selecting URLs with O1: {e}{Colors.RESET}")
        return []



def extract_company_info(urls, prompt, company, api_key):
    """Use requests to call Firecrawl's extract endpoint with selected URLs."""
    print(f"{Colors.YELLOW}Extracting structured data from the provided URLs using Firecrawl...{Colors.RESET}")
    
    headers = {
        'Content-Type': 'application/json',
        'Authorization': f'Bearer {api_key}'
    }
    
    payload = {
        "urls": urls,
        "prompt": prompt + " for " + company
    }
    
    try:
        response = requests.post(
            "https://api.firecrawl.dev/v1/extract",
            headers=headers,
            json=payload
        )
        response.raise_for_status()
        data = response.json()
        return data
    except Exception as e:
        print(f"{Colors.RED}Failed to extract data: {e}{Colors.RESET}")
        return None

def main():
    company = input(f"{Colors.BLUE}Enter the company name: {Colors.RESET}")
    objective = input(f"{Colors.BLUE}Enter what information you want about the company: {Colors.RESET}")
    
    serp_results = search_google(f"{company}")
    if not serp_results:
        print(f"{Colors.RED}No search results found.{Colors.RESET}")
        return
    
    # Ask O1 to select URLs
    selected_urls = select_urls_with_o1(company, objective, serp_results)
    
    if not selected_urls:
        print(f"{Colors.RED}O1 did not return any URLs.{Colors.RESET}")
        return
    
    print(f"{Colors.CYAN}Selected URLs for extraction by O1:{Colors.RESET}")
    for url in selected_urls:
        print(f"- {url}")

    data = extract_company_info(selected_urls, objective, company, firecrawl_api_key)
    
    if data and data.get('success') and data.get('data'):
        print(f"{Colors.GREEN}Data successfully extracted:{Colors.RESET}")
        print(json.dumps(data['data'], indent=2))
    else:
        print(f"{Colors.RED}Failed to extract the requested information. Try refining your prompt or choosing a different company.{Colors.RESET}")

if __name__ == "__main__":
    main()