174 lines
5.5 KiB
Python
174 lines
5.5 KiB
Python
import urllib.request
|
|
import urllib.parse
|
|
import json
|
|
import re
|
|
import asyncio
|
|
from typing import Any, Dict, Optional
|
|
from .utils import ToolError
|
|
import config
|
|
|
|
API_URL = "https://en.wikipedia.org/w/api.php"
|
|
|
|
def strip_html(text: str) -> str:
|
|
"""Removes HTML tags from a string using regex to provide clean text to the LLM."""
|
|
return re.sub(r'<[^>]*>', '', text)
|
|
|
|
def _make_request(params: Dict[str, Any]) -> Dict[str, Any]:
|
|
"""
|
|
Synchronous helper to make the API request using urllib.
|
|
urllib is used instead of httpx to avoid TLS/HTTP fingerprinting
|
|
that triggers 403 Forbidden responses from Wikipedia.
|
|
"""
|
|
query_string = urllib.parse.urlencode(params)
|
|
url = f"{API_URL}?{query_string}"
|
|
|
|
headers = {
|
|
"User-Agent": config.USER_AGENT
|
|
}
|
|
|
|
req = urllib.request.Request(url, headers=headers)
|
|
with urllib.request.urlopen(req) as response:
|
|
return json.loads(response.read().decode('utf-8'))
|
|
|
|
async def _search(title: str, limit: int = 5, fallback: bool = False) -> str:
|
|
"""
|
|
Searches Wikipedia for a title.
|
|
fallback=True: Used when a direct page request fails, providing 'Article not found' header.
|
|
"""
|
|
params = {
|
|
"action": "query",
|
|
"list": "search",
|
|
"srsearch": title,
|
|
"format": "json",
|
|
"srlimit": limit
|
|
}
|
|
# Run synchronous urllib call in a thread to avoid blocking the event loop
|
|
data = await asyncio.to_thread(_make_request, params)
|
|
|
|
search_results = data.get("query", {}).get("search", [])
|
|
if not search_results:
|
|
return f"No Wikipedia results found for '{title}'."
|
|
|
|
if fallback:
|
|
header = f"Article not found. Please select one of the following similar articles to proceed with '{title}':"
|
|
else:
|
|
header = f"Search results for '{title}':"
|
|
|
|
lines = [header]
|
|
for i, res in enumerate(search_results, 1):
|
|
title_res = res.get("title")
|
|
snippet = strip_html(res.get("snippet", ""))
|
|
# Brackets around title help the AI identify the exact string for subsequent calls
|
|
lines.append(f"{i}. [{title_res}] - Snippet: {snippet}")
|
|
|
|
if fallback:
|
|
lines.append("\n[Tip: Use the title in brackets [ ] to explore the selected page.]")
|
|
|
|
return "\n".join(lines)
|
|
|
|
async def _fetch_content(title: str, section_index: int) -> Optional[str]:
|
|
"""
|
|
Retrieves raw Wikitext for a specific section.
|
|
section_index=0 returns the lead section.
|
|
"""
|
|
params = {
|
|
"action": "query",
|
|
"prop": "revisions",
|
|
"rvprop": "content",
|
|
"rvsection": section_index,
|
|
"titles": title,
|
|
"redirects": 1,
|
|
"format": "json"
|
|
}
|
|
data = await asyncio.to_thread(_make_request, params)
|
|
|
|
pages = data.get("query", {}).get("pages", {})
|
|
if not pages:
|
|
return None
|
|
|
|
page_id = next(iter(pages))
|
|
page = pages[page_id]
|
|
|
|
if "missing" in page:
|
|
return None
|
|
|
|
revisions = page.get("revisions", [])
|
|
if not revisions:
|
|
return None
|
|
|
|
return revisions[0].get("*")
|
|
|
|
async def _fetch_toc(title: str) -> Optional[str]:
|
|
"""
|
|
Retrieves the Table of Contents data and formats it hierarchically.
|
|
"""
|
|
params = {
|
|
"action": "parse",
|
|
"page": title,
|
|
"prop": "tocdata",
|
|
"format": "json",
|
|
"redirects": 1
|
|
}
|
|
data = await asyncio.to_thread(_make_request, params)
|
|
|
|
parse_data = data.get("parse")
|
|
if not parse_data:
|
|
return None
|
|
|
|
toc_data = parse_data.get("tocdata", {})
|
|
sections = toc_data.get("sections", [])
|
|
if not sections:
|
|
return "No table of contents found for this page."
|
|
|
|
lines = [f"Table of Contents for \"{parse_data.get('title', title)}\":"]
|
|
for s in sections:
|
|
level = s.get("tocLevel", 1)
|
|
index = s.get("index")
|
|
line = s.get("line")
|
|
indent = " " * (level - 1)
|
|
lines.append(f"{indent}[{index}] {line}")
|
|
|
|
return "\n".join(lines)
|
|
|
|
async def handle(args: Dict[str, Any]) -> Dict[str, Any]:
|
|
"""
|
|
Main handler for the browse_wikipedia tool.
|
|
Supports modes: summary, toc, section, and search.
|
|
"""
|
|
title = args.get("title")
|
|
if not title:
|
|
raise ToolError("Missing required parameter: 'title'")
|
|
|
|
mode = args.get("mode", "summary")
|
|
section_index = args.get("section_index")
|
|
search_limit = args.get("search_limit", 5)
|
|
|
|
if mode == "search":
|
|
result = await _search(title, search_limit, fallback=False)
|
|
elif mode == "summary":
|
|
# Lead section + ToC is the default 'summary' to guide the AI's next steps
|
|
content = await _fetch_content(title, 0)
|
|
if content is None:
|
|
result = await _search(title, search_limit, fallback=True)
|
|
else:
|
|
toc = await _fetch_toc(title)
|
|
result = f"{content}\n\n---\n\n{toc}"
|
|
elif mode == "toc":
|
|
toc = await _fetch_toc(title)
|
|
if toc is None:
|
|
result = await _search(title, search_limit, fallback=True)
|
|
else:
|
|
result = toc
|
|
elif mode == "section":
|
|
if section_index is None:
|
|
raise ToolError("Missing required parameter 'section_index' for mode='section'")
|
|
content = await _fetch_content(title, int(section_index))
|
|
if content is None:
|
|
result = await _search(title, search_limit, fallback=True)
|
|
else:
|
|
result = content
|
|
else:
|
|
raise ToolError(f"Invalid mode '{mode}'. Supported modes: summary, toc, section, search")
|
|
|
|
return {"text": result}
|