unit-four-final-project / functions /tool_helper_functions.py
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Switched to single agent powered by GPT-4.1, added step wait function to avoid hitting the OpenAI API rate limit.
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'''Helper functions for GAIA question answering agent tools.'''
import requests
import time
import logging
import bleach
from bs4 import BeautifulSoup
from bleach.css_sanitizer import CSSSanitizer
# Get logger for this module
logger = logging.getLogger(__name__)
def libretext_book_parser(url: str) -> dict:
"""
Parse the content of a LibreTexts book and return table of contents as JSON.
Args:
url (str): The URL of the LibreTexts book page.
Returns:
dict: A dictionary containing the table of contents in the following format.
{0: {'title': str, 'url': str, 'description': str}, ...}
"""
logger.info('Parsing LibreTexts book: %s', url)
# Set up headers to mimic a real browser
headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36' +
'(KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36',
'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.8',
'Accept-Language': 'en-US,en;q=0.5',
'Accept-Encoding': 'gzip, deflate',
'Connection': 'keep-alive',
'Upgrade-Insecure-Requests': '1',
}
try:
# Fetch the book page
response = requests.get(url, headers=headers, timeout=15)
response.raise_for_status()
# Parse the HTML content
soup = BeautifulSoup(response.content, 'html.parser')
# Look for the table of contents structure
# LibreTexts books typically use li elements with class 'mt-sortable-listing'
chapter_listings = soup.find_all('li', class_='mt-sortable-listing')
logger.info('Found %d potential chapter listings', len(chapter_listings))
parsed_chapters = {}
chapter_count = 0
for listing in chapter_listings:
# Extract the link element
link = listing.find('a', class_='mt-sortable-listing-link')
if link:
# Extract title from the span with class 'mt-sortable-listing-title'
title_span = link.find('span', class_='mt-sortable-listing-title')
title = title_span.get_text(strip=True) if title_span else ''
# Extract URL from href attribute
chapter_url = link.get('href', '')
# Extract description from the title attribute of the link
description = link.get('title', '')
# Clean up description - remove the title prefix if it appears
if description and title and description.startswith(title):
description = description[len(title):].strip()
if description.startswith(':'):
description = description[1:].strip()
# Only add meaningful chapters (skip empty titles or very short ones)
if title and len(title) > 2:
parsed_chapters[chapter_count] = {
'title': title,
'url': chapter_url,
'description': description
}
logger.debug('Extracted chapter %d: title="%s", url="%s"',
chapter_count, title, chapter_url)
chapter_count += 1
logger.info('Successfully extracted %d chapters from book', len(parsed_chapters))
return parsed_chapters
except requests.exceptions.RequestException as e:
logger.error('Request error while fetching book page: %s', str(e))
return {'error': f'Request error: {str(e)}'}
except Exception as e: # pylint:disable=broad-exception-caught
logger.error('Unexpected error in book parser: %s', str(e))
return {'error': f'Unexpected error: {str(e)}'}
def libretext_chapter_parser(url: str) -> dict:
"""
Parse the content of a LibreTexts chapter and return section headings as JSON.
Args:
url (str): The URL of the LibreTexts chapter page.
Returns:
dict: A dictionary containing the section headings in the following format.
{0: {'title': str, 'url': str, 'description': str}, ...}
"""
logger.info('Parsing LibreTexts chapter: %s', url)
# Set up headers to mimic a real browser
headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36' +
'(KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36',
'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.8',
'Accept-Language': 'en-US,en;q=0.5',
'Accept-Encoding': 'gzip, deflate',
'Connection': 'keep-alive',
'Upgrade-Insecure-Requests': '1',
}
try:
# Fetch the chapter page
response = requests.get(url, headers=headers, timeout=15)
response.raise_for_status()
# Parse the HTML content
soup = BeautifulSoup(response.content, 'html.parser')
# Look for the section structure
# LibreTexts chapters typically use li elements with class 'mt-list-topics'
section_listings = soup.find_all('li', class_='mt-list-topics')
logger.info('Found %d potential section listings', len(section_listings))
parsed_sections = {}
section_count = 0
for listing in section_listings:
# Look for the detailed listing structure
dl_element = listing.find('dl', class_='mt-listing-detailed')
if dl_element:
# Extract title and URL from the dt element
dt_element = dl_element.find('dt', class_='mt-listing-detailed-title')
dd_element = dl_element.find('dd', class_='mt-listing-detailed-overview')
if dt_element:
# Find the anchor tag within the dt element
link = dt_element.find('a')
if link:
# Extract title from the link text
title = link.get_text(strip=True)
# Extract URL from href attribute
section_url = link.get('href', '')
# Extract description from the dd element
description = ''
if dd_element:
description = dd_element.get_text(strip=True)
# Only add meaningful sections (skip empty titles or very short ones)
if title and len(title) > 2:
parsed_sections[section_count] = {
'title': title,
'url': section_url,
'description': description
}
logger.debug('Extracted section %d: title="%s", url="%s"',
section_count, title, section_url)
section_count += 1
logger.info('Successfully extracted %d sections from chapter', len(parsed_sections))
return parsed_sections
except requests.exceptions.RequestException as e:
logger.error('Request error while fetching chapter page: %s', str(e))
return {'error': f'Request error: {str(e)}'}
except Exception as e: # pylint:disable=broad-exception-caught
logger.error('Unexpected error in chapter parser: %s', str(e))
return {'error': f'Unexpected error: {str(e)}'}
def save_libretext_book_as_markdown(book_data: dict, filename: str = None, source_url: str = None) -> str:
"""
Save a complete LibreTexts book dictionary as a markdown formatted file.
Args:
book_data (dict): The complete book data dictionary from get_libretext_book().
filename (str, optional): The filename to save the markdown. If not provided,
will generate based on book title.
source_url (str, optional): The original URL of the book for reference in the markdown.
Returns:
str: A message indicating success or failure with the filename used.
"""
logger.info('Saving LibreTexts book as markdown')
if 'error' in book_data:
error_msg = f"Cannot save book with error: {book_data['error']}"
logger.error(error_msg)
return error_msg
# Generate filename if not provided
if filename is None:
book_title = book_data.get('title', 'LibreTexts_Book')
# Clean up the title for use as filename
safe_title = "".join(c for c in book_title if c.isalnum() or c in (' ', '-', '_')).rstrip()
safe_title = safe_title.replace(' ', '_')
filename = f"{safe_title}.md"
# Ensure .md extension
if not filename.endswith('.md'):
filename += '.md'
try:
# Format the book data as markdown
markdown_content = []
# Book title
book_title = book_data.get('title', 'LibreTexts Book')
markdown_content.append(f"# {book_title}\n")
if source_url:
markdown_content.append(f"*Extracted from: {source_url}*\n")
markdown_content.append(f"*Generated on: {time.strftime('%Y-%m-%d %H:%M:%S')}*\n\n")
# Table of contents
chapters = book_data.get('chapters', {})
if chapters:
markdown_content.append("## Table of Contents\n")
for chapter_title in chapters.keys():
# Create anchor link for the chapter
anchor = chapter_title.lower().replace(
' ',
'-'
).replace(':', '').replace('(', '').replace(')', '')
markdown_content.append(f"- [{chapter_title}](#{anchor})\n")
markdown_content.append("\n---\n\n")
# Chapter content
for chapter_title, chapter_data in chapters.items():
# Chapter heading
markdown_content.append(f"## {chapter_title}\n\n")
sections = chapter_data.get('sections', {})
if not sections:
markdown_content.append("*No sections found for this chapter.*\n\n")
continue
# Section content
for section_title, section_data in sections.items():
# Section heading
markdown_content.append(f"### {section_title}\n\n")
# Section URL
section_url = section_data.get('Section url', '')
if section_url:
markdown_content.append(f"**URL:** [{section_url}]({section_url})\n\n")
# Section summary
section_summary = section_data.get('Section summary', '')
if section_summary:
markdown_content.append(f"{section_summary}\n\n")
markdown_content.append("*No summary available.*\n\n")
markdown_content.append("---\n\n")
# Write to file
with open(filename, 'w', encoding='utf-8') as f:
f.writelines(markdown_content)
success_msg = f"Successfully saved LibreTexts book as markdown file: {filename}"
logger.info(success_msg)
return success_msg
except Exception as e: # pylint:disable=broad-exception-caught
error_msg = f"Error saving markdown file: {str(e)}"
logger.error(error_msg)
return error_msg
class WikipediaFetcher:
"""Gets and cleans up Wikipedia pages."""
def fetch(self, page_name):
"""
Passed a Wikipedia page's URL fragment, like
'Edward_Montagu,_1st_Earl_of_Sandwich', this will fetch the page's
main contents, tidy the HTML, strip out any elements we don't want
and return the final HTML string.
Returns a dict with two elements:
'success' is either True or, if we couldn't fetch the page, False.
'content' is the HTML if success==True, or else an error message.
"""
result = self._get_html(page_name)
if result["success"]:
result["content"] = self._tidy_html(result["content"])
return result
def _get_html(self, page_name):
"""
Passed the name of a Wikipedia page (eg, 'Samuel_Pepys'), it fetches
the HTML content (not the entire HTML page) and returns it.
Returns a dict with two elements:
'success' is either True or, if we couldn't fetch the page, False.
'content' is the HTML if success==True, or else an error message.
"""
error_message = ""
url = f"https://en.wikipedia.org/wiki/{page_name}"
try:
response = requests.get(url, params={"action": "render"}, timeout=5)
except requests.exceptions.ConnectionError:
error_message = "Can't connect to domain."
except requests.exceptions.Timeout:
error_message = "Connection timed out."
except requests.exceptions.TooManyRedirects:
error_message = "Too many redirects."
try:
response.raise_for_status()
except requests.exceptions.HTTPError:
# 4xx or 5xx errors:
error_message = f"HTTP Error: {response.status_code}"
except NameError:
if error_message == "":
error_message = "Something unusual went wrong."
if error_message:
return {"success": False, "content": error_message}
else:
return {"success": True, "content": response.text}
def _tidy_html(self, html):
"""
Passed the raw Wikipedia HTML, this returns valid HTML, with all
disallowed elements stripped out.
"""
html = self._bleach_html(html)
html = self._strip_html(html)
return html
def _bleach_html(self, html):
"""
Ensures we have valid HTML; no unclosed or mis-nested tags.
Removes any tags and attributes we don't want to let through.
Doesn't remove the contents of any disallowed tags.
Pass it an HTML string, it'll return the bleached HTML string.
"""
# Pretty much most elements, but no forms or audio/video.
allowed_tags = {
"a",
"abbr",
"acronym",
"address",
"area",
"article",
"b",
"blockquote",
"br",
"caption",
"cite",
"code",
"col",
"colgroup",
"dd",
"del",
"dfn",
"div",
"dl",
"dt",
"em",
"figcaption",
"figure",
"footer",
"h1",
"h2",
"h3",
"h4",
"h5",
"h6",
"header",
"hgroup",
"hr",
"i",
"img",
"ins",
"kbd",
"li",
"map",
"nav",
"ol",
"p",
"pre",
"q",
"s",
"samp",
"section",
"small",
"span",
"strong",
"sub",
"sup",
"table",
"tbody",
"td",
"tfoot",
"th",
"thead",
"time",
"tr",
"ul",
"var",
# We allow script and style here, so we can close/un-mis-nest
# its tags, but then it's removed completely in _strip_html():
"script",
"style",
}
# These attributes will not be removed from any of the allowed tags.
allowed_attributes = {
"*": ["class", "id"],
"a": ["href", "title"],
"abbr": ["title"],
"acronym": ["title"],
"img": ["alt", "src", "srcset"],
# Ugh. Don't know why this page doesn't use .tright like others
# http://127.0.0.1:8000/encyclopedia/5040/
"table": ["align"],
"td": ["colspan", "rowspan", "style"],
"th": ["colspan", "rowspan", "scope"],
}
# These CSS properties are allowed within style attributes
# Added for the family tree on /encyclopedia/5825/
# Hopefully doesn't make anything else too hideous.
allowed_css_properties = [
"background",
"border",
"border-bottom",
"border-collapse",
"border-left",
"border-radius",
"border-right",
"border-spacing",
"border-top",
"height",
"padding",
"text-align",
"width",
]
css_sanitizer = CSSSanitizer(allowed_css_properties=allowed_css_properties)
a = bleach.clean(
html,
tags=allowed_tags,
attributes=allowed_attributes,
css_sanitizer=css_sanitizer,
strip=True,
)
return a
def _strip_html(self, html):
"""
Takes out any tags, and their contents, that we don't want at all.
And adds custom classes to existing tags (so we can apply CSS styles
without having to multiply our CSS).
Pass it an HTML string, it returns the stripped HTML string.
"""
# CSS selectors. Strip these and their contents.
selectors = [
"div.hatnote",
"div.navbar.mini", # Will also match div.mini.navbar
# Bottom of https://en.wikipedia.org/wiki/Charles_II_of_England :
"div.topicon",
"a.mw-headline-anchor",
"script",
"style",
]
# Strip any element that has one of these classes.
classes = [
# "This article may be expanded with text translated from..."
# https://en.wikipedia.org/wiki/Afonso_VI_of_Portugal
"ambox-notice",
"magnify",
# eg audio on https://en.wikipedia.org/wiki/Bagpipes
"mediaContainer",
"navbox",
"noprint",
]
# Any element has a class matching a key, it will have the classes
# in the value added.
add_classes = {
# Give these tables standard Bootstrap styles.
"infobox": ["table", "table-bordered"],
"ambox": ["table", "table-bordered"],
"wikitable": ["table", "table-bordered"],
}
soup = BeautifulSoup(html, "lxml")
for selector in selectors:
_ = [tag.decompose() for tag in soup.select(selector)]
for clss in classes:
_ = [tag.decompose() for tag in soup.find_all(attrs={"class": clss})]
for clss, new_classes in add_classes.items():
for tag in soup.find_all(attrs={"class": clss}):
tag["class"] = tag.get("class", []) + new_classes
# Depending on the HTML parser BeautifulSoup used, soup may have
# surrounding <html><body></body></html> or just <body></body> tags.
if soup.body:
soup = soup.body
elif soup.html:
soup = soup.html.body
# Put the content back into a string.
html = "".join(str(tag) for tag in soup.contents)
return html