mirror of
https://github.com/arc53/DocsGPT.git
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98e949d2fd
* feat: implement URL validation to prevent SSRF * feat: add zip extraction security * ruff fixes
77 lines
2.8 KiB
Python
77 lines
2.8 KiB
Python
import logging
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import requests
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from urllib.parse import urlparse, urljoin
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from bs4 import BeautifulSoup
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from application.parser.remote.base import BaseRemote
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from application.parser.schema.base import Document
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from application.core.url_validation import validate_url, SSRFError
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from langchain_community.document_loaders import WebBaseLoader
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class CrawlerLoader(BaseRemote):
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def __init__(self, limit=10):
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self.loader = WebBaseLoader # Initialize the document loader
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self.limit = limit # Set the limit for the number of pages to scrape
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def load_data(self, inputs):
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url = inputs
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if isinstance(url, list) and url:
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url = url[0]
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# Validate URL to prevent SSRF attacks
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try:
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url = validate_url(url)
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except SSRFError as e:
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logging.error(f"URL validation failed: {e}")
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return []
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visited_urls = set()
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base_url = urlparse(url).scheme + "://" + urlparse(url).hostname
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urls_to_visit = [url]
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loaded_content = []
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while urls_to_visit:
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current_url = urls_to_visit.pop(0)
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visited_urls.add(current_url)
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try:
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# Validate each URL before making requests
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try:
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validate_url(current_url)
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except SSRFError as e:
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logging.warning(f"Skipping URL due to validation failure: {current_url} - {e}")
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continue
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response = requests.get(current_url, timeout=30)
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response.raise_for_status()
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loader = self.loader([current_url])
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docs = loader.load()
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# Convert the loaded documents to your Document schema
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for doc in docs:
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loaded_content.append(
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Document(
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doc.page_content,
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extra_info=doc.metadata
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)
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)
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except Exception as e:
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logging.error(f"Error processing URL {current_url}: {e}", exc_info=True)
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continue
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# Parse the HTML content to extract all links
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soup = BeautifulSoup(response.text, 'html.parser')
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all_links = [
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urljoin(current_url, a['href'])
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for a in soup.find_all('a', href=True)
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if base_url in urljoin(current_url, a['href'])
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]
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# Add new links to the list of URLs to visit if they haven't been visited yet
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urls_to_visit.extend([link for link in all_links if link not in visited_urls])
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urls_to_visit = list(set(urls_to_visit))
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# Stop crawling if the limit of pages to scrape is reached
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if self.limit is not None and len(visited_urls) >= self.limit:
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break
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return loaded_content
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