更新autogpt
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"""Browse a webpage and summarize it using the LLM model"""
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from __future__ import annotations
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from urllib.parse import urljoin, urlparse
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import requests
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from bs4 import BeautifulSoup
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from requests import Response
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from requests.compat import urljoin
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from autogpt.config import Config
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from autogpt.processing.html import extract_hyperlinks, format_hyperlinks
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CFG = Config()
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session = requests.Session()
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session.headers.update({"User-Agent": CFG.user_agent})
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def is_valid_url(url: str) -> bool:
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"""Check if the URL is valid
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Args:
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url (str): The URL to check
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Returns:
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bool: True if the URL is valid, False otherwise
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"""
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try:
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result = urlparse(url)
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return all([result.scheme, result.netloc])
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except ValueError:
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return False
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def sanitize_url(url: str) -> str:
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"""Sanitize the URL
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Args:
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url (str): The URL to sanitize
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Returns:
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str: The sanitized URL
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"""
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return urljoin(url, urlparse(url).path)
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def check_local_file_access(url: str) -> bool:
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"""Check if the URL is a local file
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Args:
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url (str): The URL to check
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Returns:
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bool: True if the URL is a local file, False otherwise
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"""
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local_prefixes = [
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"file:///",
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"file://localhost/",
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"file://localhost",
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"http://localhost",
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"http://localhost/",
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"https://localhost",
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"https://localhost/",
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"http://2130706433",
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"http://2130706433/",
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"https://2130706433",
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"https://2130706433/",
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"http://127.0.0.1/",
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"http://127.0.0.1",
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"https://127.0.0.1/",
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"https://127.0.0.1",
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"https://0.0.0.0/",
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"https://0.0.0.0",
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"http://0.0.0.0/",
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"http://0.0.0.0",
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"http://0000",
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"http://0000/",
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"https://0000",
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"https://0000/",
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]
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return any(url.startswith(prefix) for prefix in local_prefixes)
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def get_response(
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url: str, timeout: int = 10
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) -> tuple[None, str] | tuple[Response, None]:
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"""Get the response from a URL
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Args:
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url (str): The URL to get the response from
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timeout (int): The timeout for the HTTP request
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Returns:
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tuple[None, str] | tuple[Response, None]: The response and error message
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Raises:
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ValueError: If the URL is invalid
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requests.exceptions.RequestException: If the HTTP request fails
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"""
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try:
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# Restrict access to local files
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if check_local_file_access(url):
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raise ValueError("Access to local files is restricted")
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# Most basic check if the URL is valid:
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if not url.startswith("http://") and not url.startswith("https://"):
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raise ValueError("Invalid URL format")
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sanitized_url = sanitize_url(url)
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response = session.get(sanitized_url, timeout=timeout)
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# Check if the response contains an HTTP error
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if response.status_code >= 400:
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return None, f"Error: HTTP {str(response.status_code)} error"
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return response, None
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except ValueError as ve:
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# Handle invalid URL format
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return None, f"Error: {str(ve)}"
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except requests.exceptions.RequestException as re:
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# Handle exceptions related to the HTTP request
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# (e.g., connection errors, timeouts, etc.)
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return None, f"Error: {str(re)}"
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def scrape_text(url: str) -> str:
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"""Scrape text from a webpage
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Args:
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url (str): The URL to scrape text from
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Returns:
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str: The scraped text
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"""
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response, error_message = get_response(url)
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if error_message:
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return error_message
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if not response:
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return "Error: Could not get response"
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soup = BeautifulSoup(response.text, "html.parser")
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for script in soup(["script", "style"]):
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script.extract()
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text = soup.get_text()
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lines = (line.strip() for line in text.splitlines())
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chunks = (phrase.strip() for line in lines for phrase in line.split(" "))
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text = "\n".join(chunk for chunk in chunks if chunk)
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return text
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def scrape_links(url: str) -> str | list[str]:
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"""Scrape links from a webpage
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Args:
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url (str): The URL to scrape links from
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Returns:
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str | list[str]: The scraped links
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"""
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response, error_message = get_response(url)
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if error_message:
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return error_message
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if not response:
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return "Error: Could not get response"
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soup = BeautifulSoup(response.text, "html.parser")
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for script in soup(["script", "style"]):
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script.extract()
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hyperlinks = extract_hyperlinks(soup, url)
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return format_hyperlinks(hyperlinks)
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def create_message(chunk, question):
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"""Create a message for the user to summarize a chunk of text"""
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return {
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"role": "user",
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"content": f'"""{chunk}""" Using the above text, answer the following'
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f' question: "{question}" -- if the question cannot be answered using the'
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" text, summarize the text.",
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}
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