#!/usr/bin/env python3

import sys
import os
sys.path.append(os.path.join(os.path.dirname(__file__), 'src'))

from chatbot import Chatbot
from models import ChatbotRequest

def test_interactive_transactions():
    print("🧪 Testing Interactive Transaction Completion")
    print("="*70)
    print("Note: Make sure to set OPENAI_API_KEY environment variable")
    print("="*70)
    
    chatbot = Chatbot()
    
    test_scenarios = [
        {
            "name": "Complete Purchase Transaction",
            "initial": "I bought 20 USB drives from TechMart at €5 each",
            "expected_complete": True,
            "description": "Should be complete with all required fields"
        },
        {
            "name": "Incomplete Purchase - Missing Supplier",
            "initial": "I bought 10 laptops at €800 each",
            "clarifications": ["Electronics Plus"],
            "expected_questions": ["supplier"],
            "description": "Should ask for supplier information"
        },
        {
            "name": "Incomplete Purchase - Missing Multiple Fields",
            "initial": "I bought some office chairs",
            "clarifications": ["15 chairs", "Office Supplies Co", "€150 per chair"],
            "expected_questions": ["quantity", "supplier", "unit_price"],
            "description": "Should ask for quantity, supplier, and price"
        },
        {
            "name": "Sale with Missing Customer",
            "initial": "Sold 5 laptops at €900 each",
            "clarifications": ["ABC Corporation"],
            "expected_questions": ["customer"],
            "description": "Should ask for customer information"
        },
        {
            "name": "Transaction with N/A Fields",
            "initial": "Bought 100 pens",
            "clarifications": ["Staples", "$2 each", "N/A"],
            "expected_questions": ["supplier", "unit_price"],
            "description": "Should handle N/A responses gracefully"
        }
    ]
    
    for i, scenario in enumerate(test_scenarios, 1):
        print(f"\n🔍 Test Scenario {i}: {scenario['name']}")
        print("-" * 60)
        print(f"Description: {scenario['description']}")
        print(f"Initial input: {scenario['initial']}")
        
        # Test initial transaction request
        session_id = f"test_session_{i}"
        request = ChatbotRequest(message=scenario['initial'], session_id=session_id)
        response = chatbot.process_message(request)
        
        print(f"\n🤖 Initial Response:")
        print(response.response)
        
        if response.awaiting_clarification:
            print(f"✅ Correctly identified as incomplete transaction")
            
            # Process clarifications if provided
            if "clarifications" in scenario:
                print(f"\n📝 Providing clarifications...")
                
                for j, clarification in enumerate(scenario["clarifications"], 1):
                    print(f"\n   Clarification {j}: {clarification}")
                    
                    clarification_request = ChatbotRequest(
                        message=clarification, 
                        session_id=session_id
                    )
                    clarification_response = chatbot.process_message(clarification_request)
                    
                    print(f"   🤖 Response: {clarification_response.response[:100]}{'...' if len(clarification_response.response) > 100 else ''}")
                    
                    if not clarification_response.awaiting_clarification:
                        print(f"   ✅ Transaction completed!")
                        break
                    else:
                        print(f"   ⏳ Still waiting for more information...")
        else:
            if scenario.get("expected_complete", False):
                print(f"✅ Correctly completed transaction without clarification")
            else:
                print(f"❌ Expected clarification but transaction was completed")
        
        print(f"\nIntent detected: {response.intent_detected}")
        if response.entities_extracted:
            entities = response.entities_extracted
            print(f"Entities: {entities.transaction_type} - {entities.product} ({entities.quantity}x) - €{entities.total_amount}")
        
        print("\n" + "="*60)
    
    print("\n🧪 Testing Edge Cases")
    print("-" * 40)
    
    # Test cancellation
    print("\n🔍 Testing Transaction Cancellation")
    request = ChatbotRequest(message="I bought some items", session_id="cancel_test")
    response = chatbot.process_message(request)
    
    if response.awaiting_clarification:
        print("✅ Transaction requires clarification")
        cancel_request = ChatbotRequest(message="cancel", session_id="cancel_test")
        cancel_response = chatbot.process_message(cancel_request)
        print(f"🤖 Cancel response: {cancel_response.response}")
        
        if not cancel_response.awaiting_clarification:
            print("✅ Transaction successfully cancelled")
        else:
            print("❌ Transaction not properly cancelled")
    
    # Test invalid session
    print("\n🔍 Testing Invalid Session Response")
    invalid_request = ChatbotRequest(message="More information here", session_id="nonexistent")
    invalid_response = chatbot.process_message(invalid_request)
    print(f"🤖 Invalid session response: {invalid_response.response}")
    
    chatbot.close()
    print("\n✅ Interactive transaction tests completed!")

def test_clarification_quality():
    print("\n🔬 Testing Clarification Question Quality")
    print("-" * 50)
    
    chatbot = Chatbot()
    
    # Test various incomplete scenarios to see question quality
    incomplete_scenarios = [
        "I bought something expensive",
        "Purchase from TechMart",
        "Sold items to a customer", 
        "€1000 transaction yesterday",
        "Bought 50 units"
    ]
    
    for i, scenario in enumerate(incomplete_scenarios, 1):
        print(f"\n🔍 Scenario {i}: {scenario}")
        print("-" * 30)
        
        request = ChatbotRequest(message=scenario, session_id=f"quality_test_{i}")
        response = chatbot.process_message(request)
        
        if response.awaiting_clarification:
            print("📝 Clarification questions generated:")
            # Extract questions from response for analysis
            lines = response.response.split('\n')
            questions = [line.strip() for line in lines if line.strip() and any(char.isdigit() and line.strip().startswith(char) for char in '123456789')]
            
            for q in questions[:3]:  # Show first 3 questions
                print(f"   • {q}")
            
            print(f"✅ Generated {len(questions)} clarification questions")
        else:
            print("❌ No clarification requested (unexpected)")
    
    chatbot.close()
    print("\n✅ Clarification quality tests completed!")

if __name__ == "__main__":
    if not os.getenv('OPENAI_API_KEY'):
        print("❌ Error: OPENAI_API_KEY environment variable not set")
        print("Please set your OpenAI API key:")
        print("export OPENAI_API_KEY='your-key-here'")
        sys.exit(1)
    
    test_interactive_transactions()
    test_clarification_quality()