import os from firecrawl import FirecrawlApp import json from dotenv import load_dotenv from google import genai # 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() # Retrieve API keys from environment variables firecrawl_api_key = os.getenv("FIRECRAWL_API_KEY") gemini_api_key = os.getenv("GEMINI_API_KEY") # Initialize the FirecrawlApp and Gemini client app = FirecrawlApp(api_key=firecrawl_api_key) client = genai.Client(api_key=gemini_api_key) def find_relevant_page_via_map(objective, url, app, client): try: print(f"{Colors.CYAN}Understood. The objective is: {objective}{Colors.RESET}") print(f"{Colors.CYAN}Initiating search on the website: {url}{Colors.RESET}") map_prompt = f""" Based on the objective of: {objective}, provide a 1-2 word search parameter that will help find the information. Respond with ONLY 1-2 words, no other text or formatting. """ print(f"{Colors.YELLOW}Analyzing objective to determine optimal search parameter...{Colors.RESET}") response = client.models.generate_content( model="gemini-2.0-flash", contents=map_prompt ) map_search_parameter = response.text.strip() print(f"{Colors.GREEN}Optimal search parameter identified: {map_search_parameter}{Colors.RESET}") print(f"{Colors.YELLOW}Mapping website using the identified search parameter...{Colors.RESET}") map_website = app.map_url(url, params={"search": map_search_parameter}) print(f"{Colors.MAGENTA}Debug - Map response structure: {json.dumps(map_website, indent=2)}{Colors.RESET}") print(f"{Colors.GREEN}Website mapping completed successfully.{Colors.RESET}") if isinstance(map_website, dict): links = map_website.get('urls', []) or map_website.get('links', []) elif isinstance(map_website, str): try: parsed = json.loads(map_website) links = parsed.get('urls', []) or parsed.get('links', []) except json.JSONDecodeError: links = [] else: links = map_website if isinstance(map_website, list) else [] if not links: print(f"{Colors.RED}No links found in map response.{Colors.RESET}") return None rank_prompt = f"""RESPOND ONLY WITH JSON. Analyze these URLs and rank the top 3 most relevant ones for finding information about: {objective} Return ONLY a JSON array in this exact format - no other text or explanation: [ {{ "url": "http://example.com", "relevance_score": 95, "reason": "Main about page with company information" }}, {{ "url": "http://example2.com", "relevance_score": 85, "reason": "Team page with details" }}, {{ "url": "http://example3.com", "relevance_score": 75, "reason": "Blog post about company" }} ] URLs to analyze: {json.dumps(links, indent=2)}""" print(f"{Colors.YELLOW}Ranking URLs by relevance to objective...{Colors.RESET}") response = client.models.generate_content( model="gemini-2.0-flash", contents=rank_prompt ) print(f"{Colors.MAGENTA}Debug - Raw Gemini response:{Colors.RESET}") print(response.text) try: response_text = response.text.strip() print(f"{Colors.MAGENTA}Debug - Cleaned response:{Colors.RESET}") print(response_text) if '[' in response_text and ']' in response_text: start_idx = response_text.find('[') end_idx = response_text.rfind(']') + 1 json_str = response_text[start_idx:end_idx] print(f"{Colors.MAGENTA}Debug - Extracted JSON string:{Colors.RESET}") print(json_str) ranked_results = json.loads(json_str) else: print(f"{Colors.RED}No JSON array found in response{Colors.RESET}") return None links = [result["url"] for result in ranked_results] print(f"{Colors.CYAN}Top 3 ranked URLs:{Colors.RESET}") for result in ranked_results: print(f"{Colors.GREEN}URL: {result['url']}{Colors.RESET}") print(f"{Colors.YELLOW}Relevance Score: {result['relevance_score']}{Colors.RESET}") print(f"{Colors.BLUE}Reason: {result['reason']}{Colors.RESET}") print("---") if not links: print(f"{Colors.RED}No relevant links identified.{Colors.RESET}") return None except json.JSONDecodeError as e: print(f"{Colors.RED}Error parsing ranked results: {str(e)}{Colors.RESET}") print(f"{Colors.RED}Failed JSON string: {response_text}{Colors.RESET}") return None except Exception as e: print(f"{Colors.RED}Unexpected error: {str(e)}{Colors.RESET}") return None print(f"{Colors.GREEN}Located {len(links)} relevant links.{Colors.RESET}") return links except Exception as e: print(f"{Colors.RED}Error encountered during relevant page identification: {str(e)}{Colors.RESET}") return None def find_objective_in_top_pages(map_website, objective, app, client): try: if not map_website: print(f"{Colors.RED}No links found to analyze.{Colors.RESET}") return None top_links = map_website[:3] print(f"{Colors.CYAN}Proceeding to analyze top {len(top_links)} links: {top_links}{Colors.RESET}") for link in top_links: print(f"{Colors.YELLOW}Initiating scrape of page: {link}{Colors.RESET}") scrape_result = app.scrape_url(link, params={'formats': ['markdown']}) print(f"{Colors.GREEN}Page scraping completed successfully.{Colors.RESET}") check_prompt = f""" Analyze this content to find: {objective} If found, return ONLY a JSON object with the information. If not found, respond EXACTLY with: Objective not met Content to analyze: {scrape_result['markdown']} Remember: - Return valid JSON if information is found - Return EXACTLY "Objective not met" if not found - No other text or explanations """ response = client.models.generate_content( model="gemini-2.0-flash", contents=check_prompt ) result = response.text.strip() print(f"{Colors.MAGENTA}Debug - Check response:{Colors.RESET}") print(result) if result != "Objective not met": print(f"{Colors.GREEN}Objective potentially fulfilled. Relevant information identified.{Colors.RESET}") try: if '{' in result and '}' in result: start_idx = result.find('{') end_idx = result.rfind('}') + 1 json_str = result[start_idx:end_idx] return json.loads(json_str) else: print(f"{Colors.RED}No JSON object found in response{Colors.RESET}") except json.JSONDecodeError: print(f"{Colors.RED}Error in parsing response. Proceeding to next page...{Colors.RESET}") else: print(f"{Colors.YELLOW}Objective not met on this page. Proceeding to next link...{Colors.RESET}") print(f"{Colors.RED}All available pages analyzed. Objective not fulfilled in examined content.{Colors.RESET}") return None except Exception as e: print(f"{Colors.RED}Error encountered during page analysis: {str(e)}{Colors.RESET}") return None def main(): url = input(f"{Colors.BLUE}Enter the website to crawl : {Colors.RESET}") objective = input(f"{Colors.BLUE}Enter your objective: {Colors.RESET}") print(f"{Colors.YELLOW}Initiating web crawling process...{Colors.RESET}") map_website = find_relevant_page_via_map(objective, url, app, client) if map_website: print(f"{Colors.GREEN}Relevant pages identified. Proceeding with detailed analysis using gemini-2.0-flash...{Colors.RESET}") result = find_objective_in_top_pages(map_website, objective, app, client) if result: print(f"{Colors.GREEN}Objective successfully fulfilled. Extracted information:{Colors.RESET}") print(f"{Colors.MAGENTA}{json.dumps(result, indent=2)}{Colors.RESET}") else: print(f"{Colors.RED}Unable to fulfill the objective with the available content.{Colors.RESET}") else: print(f"{Colors.RED}No relevant pages identified. Consider refining the search parameters or trying a different website.{Colors.RESET}") if __name__ == "__main__": main()