diff --git a/examples/o3-mini_company_researcher/o3-mini_company_researcher.py b/examples/o3-mini_company_researcher/o3-mini_company_researcher.py new file mode 100644 index 00000000..d1977695 --- /dev/null +++ b/examples/o3-mini_company_researcher/o3-mini_company_researcher.py @@ -0,0 +1,200 @@ +import os +import json +import time +import requests +from dotenv import load_dotenv +from openai import OpenAI +from serpapi.google_search 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") +serp_api_key = os.getenv("SERP_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": serp_api_key}) + return search.get_dict().get("organic_results", []) + +def select_urls_with_r1(company, objective, serp_results): + """ + Use R1's approach with o3-mini to select URLs from SERP results. + Returns a list of URLs. + """ + try: + # Prepare the data for o3-mini (keeping R1's structure) + 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="o3-mini", + messages=[ + { + "role": "system", + "content": "You are a URL selector that always responds with valid JSON. You select URLs from the SERP results relevant to the company and objective. Your response must be a JSON object with a 'selected_urls' array property containing strings." + }, + { + "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\"]}" + ) + } + ] + ) + + try: + # First try to parse as JSON + result = json.loads(response.choices[0].message.content) + if isinstance(result, dict) and "selected_urls" in result: + urls = result["selected_urls"] + else: + # If JSON doesn't have the expected structure, fall back to text parsing + response_text = response.choices[0].message.content + urls = [line.strip() for line in response_text.split('\n') + if line.strip().startswith(('http://', 'https://'))] + except json.JSONDecodeError: + # If JSON parsing fails, fall back to text parsing + response_text = response.choices[0].message.content + urls = [line.strip() for line in response_text.split('\n') + if line.strip().startswith(('http://', 'https://'))] + + # Clean up URLs - remove wildcards and trailing slashes + cleaned_urls = [url.replace('/*', '').rstrip('/') for url in urls] + cleaned_urls = [url for url in cleaned_urls if url] + + if not cleaned_urls: + print(f"{Colors.YELLOW}No valid URLs found.{Colors.RESET}") + return [] + + print(f"{Colors.CYAN}Selected URLs for extraction:{Colors.RESET}") + for url in cleaned_urls: + print(f"- {url}") + + return cleaned_urls + + except Exception as e: + print(f"{Colors.RED}Error selecting URLs: {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, + "enableWebSearch": True + } + + try: + response = requests.post( + "https://api.firecrawl.dev/v1/extract", + headers=headers, + json=payload, + timeout=30 + ) + + data = response.json() + + if not data.get('success'): + print(f"{Colors.RED}API returned error: {data.get('error', 'No error message')}{Colors.RESET}") + return None + + extraction_id = data.get('id') + if not extraction_id: + print(f"{Colors.RED}No extraction ID found in response.{Colors.RESET}") + return None + + return poll_firecrawl_result(extraction_id, api_key) + + except requests.exceptions.RequestException as e: + print(f"{Colors.RED}Request failed: {e}{Colors.RESET}") + return None + except json.JSONDecodeError as e: + print(f"{Colors.RED}Failed to parse response: {e}{Colors.RESET}") + return None + except Exception as e: + print(f"{Colors.RED}Failed to extract data: {e}{Colors.RESET}") + return None + +def poll_firecrawl_result(extraction_id, api_key, interval=5, max_attempts=36): + """Poll Firecrawl API to get the extraction result.""" + url = f"https://api.firecrawl.dev/v1/extract/{extraction_id}" + headers = { + 'Authorization': f'Bearer {api_key}' + } + + for attempt in range(1, max_attempts + 1): + try: + response = requests.get(url, headers=headers, timeout=30) + response.raise_for_status() + data = response.json() + + if data.get('success') and data.get('data'): + print(f"{Colors.GREEN}Data successfully extracted:{Colors.RESET}") + print(json.dumps(data['data'], indent=2)) + return data['data'] + elif data.get('success') and not data.get('data'): + time.sleep(interval) + else: + print(f"{Colors.RED}API Error: {data.get('error', 'No error message provided')}{Colors.RESET}") + return None + + except requests.exceptions.RequestException: + return None + except json.JSONDecodeError: + return None + except Exception: + return None + + print(f"{Colors.RED}Max polling attempts reached. Extraction did not complete in time.{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 + + # Use R1's URL selection approach with o3-mini model + selected_urls = select_urls_with_r1(company, objective, serp_results) + + if not selected_urls: + print(f"{Colors.RED}No URLs were selected.{Colors.RESET}") + return + + data = extract_company_info(selected_urls, objective, company, firecrawl_api_key) + + if data: + print(f"{Colors.GREEN}Extraction completed successfully.{Colors.RESET}") + 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() \ No newline at end of file