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c6d67ac | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 | import requests
from bs4 import BeautifulSoup
from langchain_core.tools import tool
@tool
def get_recent_news(ticker: str) -> str:
"""
Fetches the most recent news headlines for a given stock ticker.
CRITICAL INSTRUCTIONS:
1. 'ticker': Must be the official uppercase ticker symbol (e.g., AAPL). DO NOT pass the full company name.
2. Use this tool to gauge current market sentiment, breaking news, and short-term catalysts.
"""
try:
ticker = ticker.upper()
print(f"\n[System: Fetching latest news for {ticker} via Yahoo Finance RSS...]")
# Hit the official Yahoo Finance RSS endpoint
url = f"https://feeds.finance.yahoo.com/rss/2.0/headline?s={ticker}®ion=US&lang=en-US"
# A standard web browser User-Agent so Yahoo doesn't block us
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'
}
response = requests.get(url, headers=headers)
response.raise_for_status()
# Parse the XML feed using BeautifulSoup
soup = BeautifulSoup(response.content, features="xml")
items = soup.find_all("item")
if not items:
return f"No recent news found for {ticker}."
summary = f"Recent News Headlines for {ticker}:\n\n"
# Grab the top 5 most recent articles
for i, item in enumerate(items[:10]):
title = item.title.text if item.title else "No Title"
# RSS provides nicely formatted publication dates
pub_date = item.pubDate.text if item.pubDate else "Recent"
summary += f"{i+1}. [{pub_date}] {title}\n"
return summary
except Exception as e:
return f"Error fetching news for {ticker}: {str(e)}"
# Quick test block
if __name__ == "__main__":
test_ticker = "NVDA"
print("Testing News Pipeline...")
print(get_recent_news.invoke({"ticker": test_ticker})) |