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from tools.news_tools import get_combined_news_and_sentiment_debug
def test_news():
ticker = "RELIANCE.NS"
company_name = "Reliance Industries"
print(f"Testing news scraping for {ticker} ({company_name})")
result = get_combined_news_and_sentiment_debug(ticker, company_name)
print(f"\nResults:")
print(f"Total articles: {result['sentiment_summary']['total_items']}")
print(f"Positive: {result['sentiment_summary']['positive']}")
print(f"Negative: {result['sentiment_summary']['negative']}")
print(f"Neutral: {result['sentiment_summary']['neutral']}")
if result['articles']:
print(f"\nSample articles:")
for i, article in enumerate(result['articles'][:3]):
print(f"{i+1}. {article['title']}")
print(f" Source: {article['source']} | Sentiment: {article['sentiment']}")
if __name__ == "__main__":
test_news() |