"""
Quick test script for the enhanced dual RAG pipeline
Run this to verify everything works before starting the full app
"""
import sys
from pathlib import Path

# Add src to path
sys.path.insert(0, str(Path(__file__).parent))

from src.core.dual_rag_pipeline import DualStoreRAGPipeline
from src.utils.logger import get_logger

logger = get_logger(__name__)

def main():
    print("="*70)
    print("🧪 TESTING ENHANCED RAG PIPELINE")
    print("="*70)
    print()
    
    # Initialize pipeline
    print("📦 Initializing pipeline...")
    pipeline = DualStoreRAGPipeline()
    print("✅ Pipeline initialized\n")
    
    # Build vector stores
    print("🏗️  Building vector stores...")
    print("   - Loading support_faqs.csv")
    print("   - Loading HuggingFace dataset (this may take a minute...)")
    print("   - Loading support_tickets.csv")
    print()
    
    try:
        pipeline.build_vector_stores()
        print("✅ Vector stores built successfully\n")
    except Exception as e:
        print(f"❌ Error building stores: {e}")
        return
    
    # Save stores
    print("💾 Saving vector stores to disk...")
    pipeline.save_vector_stores()
    print("✅ Stores saved to data/vector_stores/\n")
    
    # Test queries
    test_queries = [
        ("How do I track my order?", "FAQ"),
        ("My refund hasn't arrived after 12 days", "Ticket"),
        ("I can't log into my account", "Ticket/FAQ"),
    ]
    
    print("="*70)
    print("🔍 RUNNING TEST QUERIES")
    print("="*70)
    print()
    
    for i, (query, expected_source) in enumerate(test_queries, 1):
        print(f"\n{'─'*70}")
        print(f"Test {i}/3: {query}")
        print(f"Expected Source: {expected_source}")
        print(f"{'─'*70}")
        
        try:
            result = pipeline.query(query, top_k=3)
            
            # Display results
            print(f"\n📝 Answer:")
            print(f"   {result['answer'][:200]}{'...' if len(result['answer']) > 200 else ''}")
            
            print(f"\n📊 Metadata:")
            print(f"   Source: {result['source']}")
            print(f"   Confidence: {result['confidence']:.2%}")
            print(f"   Latency: {result['latency_ms']:.0f}ms")
            
            print(f"\n📚 Top Citation:")
            if result['citations']:
                top = result['citations'][0]
                print(f"   [{top['source']}] {top['category']}")
                print(f"   Similarity: {top['similarity']:.2%}")
                if 'resolution_status' in top:
                    print(f"   Status: {top['resolution_status']}")
            
            # Verify
            if result['source'] in expected_source:
                print(f"\n✅ PASS: Correct source ({result['source']})")
            else:
                print(f"\n⚠️  NOTE: Got {result['source']}, expected {expected_source}")
                print(f"   (This is OK if confidence was close to threshold)")
        
        except Exception as e:
            print(f"\n❌ ERROR: {e}")
            import traceback
            traceback.print_exc()
    
    print(f"\n{'='*70}")
    print("✅ ALL TESTS COMPLETED!")
    print("="*70)
    print()
    print("📁 Files created:")
    print("   ✅ data/vector_stores/faq_store/")
    print("   ✅ data/vector_stores/ticket_store/")
    print("   ✅ logs/query_logs.jsonl")
    print()
    print("🚀 Ready to start the application:")
    print("   1. Terminal 1: .\\start_api_enhanced.ps1")
    print("   2. Terminal 2: .\\start_frontend_enhanced.ps1")
    print("   3. Browser: http://localhost:8501")
    print()

if __name__ == "__main__":
    main()