Function test_sentiment_analysis

test_python_pipeline.py:123–161

Test sentiment analysis functionality

()

    return True

def test_sentiment_analysis():
    """Test sentiment analysis functionality"""
    print("\n🔄 Testing sentiment analysis...")
    
    from processors.sentiment_analyzer import analyze_sentiment
    
    test_cases = [
        {
            "text": "Emergency evacuation in progress! This is critical!",
            "expected_sentiment": "emergency"
        },
        {
            "text": "Great relief efforts by the volunteers. Thank you!",
            "expected_sentiment": "positive"
        },
        {
            "text": "The damage is devastating. Many people are trapped.",
            "expected_sentiment": "negative"
        },
        {
            "text": "Weather update: Partly cloudy with light winds.",
            "expected_sentiment": "neutral"
        }
    ]
    
    for i, case in enumerate(test_cases):
        result = analyze_sentiment(case["text"])
        print(f"  Test {i+1}: '{case['text'][:40]}...'")
        print(f"    Sentiment: {result['sentiment_label']} (expected: {case['expected_sentiment']})")
        print(f"    Polarity: {result['polarity']:.2f}")
        print(f"    Urgency Score: {result['urgency_score']:.2f}")
        print(f"    Confidence: {result['confidence']:.2f}")
        
        if result['sentiment_label'] == case['expected_sentiment']:
            print(f"    ✅ Sentiment analysis correct")
        else:
            print(f"    ⚠️  Sentiment analysis different than expected")
    
    return True

def test_data_processing():
    """Test complete data processing pipeline"""