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Update tools.py
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tools.py
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@@ -17,13 +17,55 @@ import re
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import time
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from typing import Optional, List, Dict, Any
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import re
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import wikipedia
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from langchain_core.tools import tool
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@tool
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def detect_non_commutative_subset(table_text: str) -> str:
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@@ -157,6 +199,7 @@ def filter_vegetables(items: list[str]) -> list[str]:
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# List of all tools
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all_tools = [
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detect_non_commutative_subset,
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reverse_sentence,
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filter_vegetables,
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import time
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from typing import Optional, List, Dict, Any
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import re
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from datetime import datetime, timedelta
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from langchain_core.tools import tool
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@tool
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def search_featured_articles_by_date_range(start_date: str, end_date: str) -> list[str]:
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"""
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Searches the English Wikipedia featured article archive and returns article titles
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promoted between start_date and end_date.
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Args:
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start_date (str): Start date in YYYY-MM-DD format (e.g. '2016-11-01')
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end_date (str): End date in YYYY-MM-DD format (e.g. '2016-11-30')
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Returns:
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list[str]: A list of article titles promoted as Featured Articles during that period.
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"""
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try:
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base_url = "https://en.wikipedia.org/wiki/Wikipedia:Featured_articles"
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archive_url = "https://en.wikipedia.org/wiki/Wikipedia:Featured_articles_by_year"
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start = datetime.strptime(start_date, "%Y-%m-%d")
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end = datetime.strptime(end_date, "%Y-%m-%d")
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# We'll collect year-specific pages
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result_titles = []
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for year in range(start.year, end.year + 1):
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url = f"https://en.wikipedia.org/wiki/Wikipedia:Featured_articles_{year}"
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response = requests.get(url)
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if response.status_code != 200:
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continue
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soup = BeautifulSoup(response.text, "html.parser")
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for li in soup.select("li"):
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text = li.get_text()
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date_matches = re.findall(r"\b(19|20)\d{2}-\d{2}-\d{2}\b", text)
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for match in date_matches:
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try:
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d = datetime.strptime(match, "%Y-%m-%d")
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if start <= d <= end:
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a_tag = li.find("a")
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if a_tag:
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result_titles.append(a_tag.get_text(strip=True))
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except:
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continue
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return sorted(set(result_titles))
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except Exception as e:
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return [f"Error: {str(e)}"]
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@tool
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def detect_non_commutative_subset(table_text: str) -> str:
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# List of all tools
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all_tools = [
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search_featured_articles_by_date_range,
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detect_non_commutative_subset,
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reverse_sentence,
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filter_vegetables,
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