"""
Simple API Test Script - Multilingual Pain Assessment System Demo
"""
import requests
import json

BASE_URL = "http://localhost:8000"


def test_health():
    """Check server health status"""
    try:
        response = requests.get(f"{BASE_URL}/health", timeout=5)
        print("✅ Server is running")
        print(f"   Version: {response.json()['version']}")
        return True
    except requests.exceptions.ConnectionError:
        print("❌ Server not running")
        print("   Please start server: python Backend/main.py")
        return False
    except Exception as e:
        print(f"❌ Connection error: {e}")
        return False


def test_system_info():
    """Get system information"""
    print("\n" + "="*70)
    print("📊 System Information")
    print("="*70)
    
    try:
        response = requests.get(f"{BASE_URL}/api/system-info")
        data = response.json()
        
        if data["status"] == "success":
            info = data["system_info"]["pipeline_info"]
            print(f"Version: {info['pipeline_version']}")
            print(f"Architecture: {info['architecture']}")
            print(f"Supported Languages: {', '.join(info['supported_languages'])}")
            print(f"\nOntology Coverage:")
            print(f"  - Total: {info['ontology_coverage']['total_descriptors']} terms")
            print(f"  - Chinese: {info['ontology_coverage']['chinese_terms']}")
            print(f"  - Korean: {info['ontology_coverage']['korean_terms']}")
            print(f"  - Spanish: {info['ontology_coverage']['spanish_terms']}")
            print(f"  - Hmong: {info['ontology_coverage']['hmong_terms']}")
    except Exception as e:
        print(f"❌ Failed to get system info: {e}")


def test_analysis(language_name, text):
    """Test pain analysis"""
    print("\n" + "="*70)
    print(f"🌐 Testing {language_name}")
    print("="*70)
    print(f"Input: {text}")
    
    try:
        response = requests.post(
            f"{BASE_URL}/api/analyze-text-neuro-symbolic",
            json={"text": text},
            timeout=30
        )
        
        result = response.json()
        
        if result["status"] == "success":
            print("\n✅ Analysis succeeded!")
            
            # Display structured data
            data = result["structured_data"]
            print(f"\n📋 Structured Data:")
            print(f"  Pain Type: {data['pain_type']}")
            print(f"  Location: {data['location']}")
            print(f"  Temporal Pattern: {data['temporal_pattern']}")
            print(f"  Intensity: {data['intensity']}")
            if data['emotion']:
                print(f"  Emotion: {data['emotion']}")
            
            # Display ontology mappings
            if result["ontology_mapping_trace"]:
                print(f"\n🔄 Ontology Mappings ({len(result['ontology_mapping_trace'])} items):")
                for mapping in result["ontology_mapping_trace"]:
                    lang_code = mapping.get('detected_language', '?')
                    print(f"  - [{lang_code}] {mapping['original_term']} → "
                          f"{mapping['mapped_english']} ({mapping.get('pain_type', 'N/A')})")
            
            # Display clinical recommendations
            if result["clinical_recommendations"]:
                print(f"\n💊 Clinical Recommendations ({len(result['clinical_recommendations'])} items):")
                for i, rec in enumerate(result["clinical_recommendations"], 1):
                    print(f"\n  {i}. {rec['recommendation'][:100]}...")
                    print(f"     Rule: {rec['triggered_by_rule']}")
                    print(f"     Evidence: {rec['evidence']}")
            else:
                print("\n💊 Clinical Recommendations: Standard assessment recommended")
            
            return True
        else:
            print(f"\n❌ Analysis failed: {result.get('message')}")
            return False
            
    except requests.exceptions.Timeout:
        print("\n❌ Request timeout (OpenAI API might be slow)")
        return False
    except Exception as e:
        print(f"\n❌ Error: {e}")
        import traceback
        traceback.print_exc()
        return False


def main():
    """Main test function"""
    print("="*70)
    print("🚀 Multilingual Pain Assessment System - API Test")
    print("="*70)
    
    # 1. Check server
    if not test_health():
        return
    
    # 2. Get system info
    test_system_info()
    
    # 3. Test different languages
    test_cases = [
        {
            "name": "Chinese 🇨🇳",
            "text": "我有火辣辣的疼痛，已经好几个月了，腰部很难受"
        },
        {
            "name": "Korean 🇰🇷",
            "text": "허리가 따끔거리듯이 아프다"
        },
        {
            "name": "Spanish 🇪🇸",
            "text": "Tengo un dolor agudo y punzante en la espalda"
        },
        {
            "name": "Hmong",
            "text": "Kuv mob Kub Heev heev"
        }
    ]
    
    passed = 0
    total = len(test_cases)
    
    for test_case in test_cases:
        if test_analysis(test_case["name"], test_case["text"]):
            passed += 1
    
    # Summary
    print("\n" + "="*70)
    print("📊 Test Summary")
    print("="*70)
    print(f"Passed: {passed}/{total}")
    
    if passed == total:
        print("✅ All tests passed!")
    else:
        print(f"⚠️  {total - passed} test(s) failed")


if __name__ == "__main__":
    main()