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Update R1_web_crawler.py
This commit is contained in:
Aparup Ganguly
GitHub
parent
a3b5666cba
commit
db740a0c96
@ -1,10 +1,10 @@
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import os
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import json
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import time
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import requests
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from dotenv import load_dotenv
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from openai import OpenAI
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from serpapi import GoogleSearch
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from firecrawl import FirecrawlApp
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from serpapi.google_search import GoogleSearch
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# ANSI color codes
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class Colors:
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@ -22,17 +22,18 @@ load_dotenv()
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# Initialize clients
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client = OpenAI(api_key=os.getenv("DEEPSEEK_API_KEY"), base_url="https://api.deepseek.com")
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firecrawl_api_key = os.getenv("FIRECRAWL_API_KEY")
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serp_api_key = os.getenv("SERP_API_KEY")
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def search_google(query):
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"""Search Google using SerpAPI and return top results."""
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print(f"{Colors.YELLOW}Searching Google for '{query}'...{Colors.RESET}")
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search = GoogleSearch({"q": query, "api_key": os.getenv("SERP_API_KEY")})
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search = GoogleSearch({"q": query, "api_key": serp_api_key})
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return search.get_dict().get("organic_results", [])
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def select_urls_with_r1(company, objective, serp_results):
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"""
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Use R1 to select the most relevant URLs from SERP results for the given company and objective.
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Returns a JSON object with a "selected_urls" property that is an array of strings.
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Returns a list of URLs.
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"""
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try:
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# Prepare the data for R1
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@ -44,7 +45,7 @@ def select_urls_with_r1(company, objective, serp_results):
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messages=[
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{
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"role": "system",
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"content": "You select URLs from the SERP results relevant to the company and objective."
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"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."
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},
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{
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"role": "user",
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@ -53,90 +54,127 @@ def select_urls_with_r1(company, objective, serp_results):
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f"Objective: {objective}\n"
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f"SERP Results: {json.dumps(serp_data)}\n\n"
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"Return a JSON object with a property 'selected_urls' that contains an array "
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"of URLs most likely to help meet the objective. If you think the data might not be on the homepage, add a /* to the end of the URL. Do not return any social media links. For example: {\"selected_urls\": [\"https://example.com\", \"https://example2.com\"]}"
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"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\"]}"
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)
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}
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],
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]
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)
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# The response is guaranteed to follow the specified JSON schema
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try:
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# First try to parse as JSON
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result = json.loads(response.choices[0].message.content)
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urls = result.get("selected_urls", [])
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return urls
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if isinstance(result, dict) and "selected_urls" in result:
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urls = result["selected_urls"]
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else:
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# If JSON doesn't have the expected structure, fall back to text parsing
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response_text = response.choices[0].message.content
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urls = [line.strip() for line in response_text.split('\n')
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if line.strip().startswith(('http://', 'https://'))]
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except json.JSONDecodeError:
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# If JSON parsing fails, fall back to text parsing
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response_text = response.choices[0].message.content
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urls = [line.strip() for line in response_text.split('\n')
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if line.strip().startswith(('http://', 'https://'))]
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# Clean up URLs - remove wildcards and trailing slashes
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cleaned_urls = [url.replace('/*', '').rstrip('/') for url in urls]
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cleaned_urls = [url for url in cleaned_urls if url]
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if not cleaned_urls:
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print(f"{Colors.YELLOW}No valid URLs found.{Colors.RESET}")
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return []
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print(f"{Colors.CYAN}Selected URLs for extraction by R1:{Colors.RESET}")
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for url in cleaned_urls:
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print(f"- {url}")
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return cleaned_urls
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except Exception as e:
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print(f"{Colors.RED}Error selecting URLs with R1: {e}{Colors.RESET}")
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return []
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def extract_company_info(urls, prompt, company, api_key):
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"""Use requests to call Firecrawl's extract endpoint with selected URLs."""
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print(f"{Colors.YELLOW}Extracting structured data from the provided URLs using Firecrawl's /extract endpoint...{Colors.RESET}")
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app = FirecrawlApp(api_key=os.getenv("FIRECRAWL_API_KEY"))
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print(f"{Colors.YELLOW}Extracting structured data from the provided URLs using Firecrawl...{Colors.RESET}")
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headers = {
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'Content-Type': 'application/json',
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'Authorization': f'Bearer {api_key}'
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}
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payload = {
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"urls": urls,
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"prompt": prompt + " for " + company,
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"enableWebSearch": True
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}
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try:
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extract_prompt = prompt + " for " + company
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response = app.extract(urls, {"prompt": extract_prompt, "enableWebSearch": True})
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print(response)
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return response
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response = requests.post(
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"https://api.firecrawl.dev/v1/extract",
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headers=headers,
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json=payload,
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timeout=30
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)
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data = response.json()
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if not data.get('success'):
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print(f"{Colors.RED}API returned error: {data.get('error', 'No error message')}{Colors.RESET}")
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return None
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# Assuming Firecrawl provides a way to retrieve data with 'id'
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extraction_id = data.get('id')
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if not extraction_id:
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print(f"{Colors.RED}No extraction ID found in response.{Colors.RESET}")
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return None
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# Polling for the extraction result
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return poll_firecrawl_result(extraction_id, api_key)
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except requests.exceptions.RequestException as e:
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print(f"{Colors.RED}Request failed: {e}{Colors.RESET}")
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return None
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except json.JSONDecodeError as e:
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print(f"{Colors.RED}Failed to parse response: {e}{Colors.RESET}")
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return None
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except Exception as e:
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print(f"{Colors.RED}Failed to extract data: {e}{Colors.RESET}")
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return None
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def deduplicate_with_r1(data, company, objective):
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"""Use R1 to deduplicate and consolidate extracted information."""
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print(f"{Colors.YELLOW}Deduplicating and consolidating information using R1...{Colors.RESET}")
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try:
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# Ensure data is valid JSON before sending
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if not data:
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return {}
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response = client.chat.completions.create(
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model="deepseek-reasoner",
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messages=[
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{
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"role": "system",
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"content": "You are an expert at consolidating information and removing duplicates. Analyze the extracted data and provide a clean, consolidated response."
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},
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{
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"role": "user",
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"content": (
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f"Company: {company}\n"
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f"Objective: {objective}\n"
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f"Extracted Data: {json.dumps(data, indent=2)}\n\n"
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"Please analyze this data and:\n"
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"1. Remove any duplicate information\n"
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"2. Consolidate similar points\n"
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"3. Format the response as a clean JSON object\n"
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"4. Ensure all information is relevant to the objective\n"
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"Return only the JSON response."
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)
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def poll_firecrawl_result(extraction_id, api_key, interval=5, max_attempts=12):
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"""Poll Firecrawl API to get the extraction result."""
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url = f"https://api.firecrawl.dev/v1/extract/{extraction_id}"
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headers = {
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'Authorization': f'Bearer {api_key}'
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}
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],
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)
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# Handle empty or invalid responses
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response_text = response.choices[0].message.content.strip()
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if not response_text:
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return {}
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for attempt in range(1, max_attempts + 1):
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try:
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consolidated_data = json.loads(response_text)
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return consolidated_data
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except json.JSONDecodeError:
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# If JSON parsing fails, try to extract JSON from the response
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# Look for content between curly braces
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start = response_text.find('{')
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end = response_text.rfind('}')
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if start >= 0 and end >= 0:
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json_str = response_text[start:end+1]
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return json.loads(json_str)
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return {}
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# print(f"{Colors.YELLOW}Polling for extraction result (Attempt {attempt}/{max_attempts})...{Colors.RESET}")
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response = requests.get(url, headers=headers, timeout=30)
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response.raise_for_status()
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data = response.json()
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except Exception as e:
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print(f"{Colors.RED}Error deduplicating data with R1: {e}{Colors.RESET}")
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return data
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if data.get('success') and data.get('data'):
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print(f"{Colors.GREEN}Data successfully extracted:{Colors.RESET}")
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print(json.dumps(data['data'], indent=2))
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return data['data']
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elif data.get('success') and not data.get('data'):
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time.sleep(interval)
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else:
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print(f"{Colors.RED}API Error: {data.get('error', 'No error message provided')}{Colors.RESET}")
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return None
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except requests.exceptions.RequestException:
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return None
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except json.JSONDecodeError:
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return None
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except Exception:
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return None
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print(f"{Colors.RED}Max polling attempts reached. Extraction did not complete in time.{Colors.RESET}")
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return None
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def main():
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company = input(f"{Colors.BLUE}Enter the company name: {Colors.RESET}")
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@ -154,18 +192,10 @@ def main():
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print(f"{Colors.RED}R1 did not return any URLs.{Colors.RESET}")
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return
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print(f"{Colors.CYAN}Selected URLs for extraction by R1:{Colors.RESET}")
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for url in selected_urls:
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print(f"- {url}")
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data = extract_company_info(selected_urls, objective, company, firecrawl_api_key)
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if data and data.get('success') and data.get('data'):
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# Deduplicate and consolidate the extracted data
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consolidated_data = deduplicate_with_r1(data['data'], company, objective)
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print(f"\n{Colors.GREEN}Consolidated and deduplicated data:{Colors.RESET}")
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print(json.dumps(consolidated_data, indent=2))
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if data:
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print(f"{Colors.GREEN}Extraction completed successfully.{Colors.RESET}")
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else:
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print(f"{Colors.RED}Failed to extract the requested information. Try refining your prompt or choosing a different company.{Colors.RESET}")
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