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