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import urllib.request | |
import xml.etree.ElementTree as ET | |
from datetime import datetime, timedelta | |
import json | |
import os | |
from typing import List, Dict | |
from smolagents.tools import Tool | |
class ArxivSearchTool(Tool): | |
name = "search_arxiv" | |
description = "Search ArXiv for papers matching the query" | |
inputs = { | |
'query': { | |
'type': 'string', | |
'description': 'The search query for papers', | |
'nullable': True | |
}, | |
'max_results': { | |
'type': 'integer', | |
'description': 'Maximum number of results to return', | |
'nullable': True | |
} | |
} | |
output_type = "string" | |
def forward(self, query: str = "artificial intelligence", | |
max_results: int = 50) -> str: | |
try: | |
# Construct the API URL | |
base_url = 'http://export.arxiv.org/api/query?' | |
query_params = { | |
'search_query': query, | |
'start': 0, | |
'max_results': max_results | |
} | |
# Create the full URL | |
url = base_url + urllib.parse.urlencode(query_params) | |
# Make the request | |
response = urllib.request.urlopen(url) | |
data = response.read().decode('utf-8') | |
# Parse the Atom XML response | |
root = ET.fromstring(data) | |
# Define the Atom namespace | |
ns = {'atom': 'http://www.w3.org/2005/Atom', | |
'arxiv': 'http://arxiv.org/schemas/atom'} | |
# Format results as a string | |
formatted_results = "## ArXiv Search Results\n\n" | |
for entry in root.findall('atom:entry', ns): | |
title = entry.find('atom:title', ns).text.strip() | |
authors = [author.find('atom:name', ns).text | |
for author in entry.findall('atom:author', ns)] | |
summary = entry.find('atom:summary', ns).text.strip() if entry.find('atom:summary', ns) is not None else '' | |
published = entry.find('atom:published', ns).text.strip() | |
paper_id = entry.find('atom:id', ns).text.strip() | |
pdf_url = next((link.get('href') for link in entry.findall('atom:link', ns) | |
if link.get('type') == 'application/pdf'), None) | |
categories = [cat.get('term') for cat in entry.findall('atom:category', ns)] | |
formatted_results += f"### {title}\n" | |
formatted_results += f"- Authors: {', '.join(authors)}\n" | |
formatted_results += f"- Published: {published}\n" | |
formatted_results += f"- Categories: {', '.join(categories)}\n" | |
formatted_results += f"- PDF: {pdf_url}\n" | |
formatted_results += f"- Summary: {summary}\n\n" | |
return formatted_results | |
except Exception as e: | |
return f"Error searching ArXiv: {str(e)}" | |
class LatestPapersTool(Tool): | |
name = "get_latest_papers" | |
description = "Get papers from the last N days from saved results" | |
inputs = { | |
'days_back': { | |
'type': 'integer', | |
'description': 'Number of days to look back', | |
'nullable': True | |
} | |
} | |
output_type = "string" | |
def forward(self, days_back: int = 1) -> str: | |
try: | |
papers = [] | |
base_dir = "daily_papers" | |
# Get dates to check | |
dates = [ | |
(datetime.now() - timedelta(days=i)).strftime("%Y-%m-%d") | |
for i in range(days_back) | |
] | |
# Load papers for each date | |
for date in dates: | |
file_path = os.path.join(base_dir, f"ai_papers_{date}.json") | |
if os.path.exists(file_path): | |
with open(file_path, 'r', encoding='utf-8') as f: | |
day_papers = json.load(f) | |
papers.extend(day_papers) | |
# Format results as a string | |
formatted_results = f"## Latest Papers (Past {days_back} days)\n\n" | |
for paper in papers: | |
formatted_results += f"### {paper.get('title', 'Untitled')}\n" | |
formatted_results += f"- Authors: {', '.join(paper.get('authors', ['Unknown']))}\n" | |
formatted_results += f"- Published: {paper.get('published', 'Unknown')}\n" | |
formatted_results += f"- Categories: {', '.join(paper.get('categories', []))}\n" | |
if paper.get('pdf_url'): | |
formatted_results += f"- PDF: {paper['pdf_url']}\n" | |
if paper.get('summary'): | |
formatted_results += f"- Summary: {paper['summary']}\n" | |
formatted_results += "\n" | |
return formatted_results if papers else f"No papers found in the last {days_back} days." | |
except Exception as e: | |
return f"Error getting latest papers: {str(e)}" |