"""
Pydantic Validation Example
Demonstrates automatic parsing and validation of health data
"""

from health_data import (
    PydanticUserHealthProfile,
    PydanticHealthRecord,
    NutritionRecord,
    ExerciseRecord,
    HealthDataParser,
    merge_records,
    RecordType
)
from datetime import datetime, timedelta


def test_height_parsing():
    """Test parsing height from various formats"""
    print("=" * 60)
    print("HEIGHT PARSING TEST")
    print("=" * 60)
    
    test_cases = [
        "1.78m",      # Meters
        "1,78m",      # Comma separator
        "178cm",      # Centimeters
        "178",        # Just number
        "1.78",       # Decimal
        "5'10\"",     # Feet/inches
    ]
    
    for test in test_cases:
        result = HealthDataParser.parse_height(test)
        print(f"Input: {test:15} → {result} cm")


def test_weight_parsing():
    """Test parsing weight from various formats"""
    print("\n" + "=" * 60)
    print("WEIGHT PARSING TEST")
    print("=" * 60)
    
    test_cases = [
        "70kg",       # Kilograms
        "70",         # Just number
        "154lbs",     # Pounds
        "70.5",       # Decimal
    ]
    
    for test in test_cases:
        result = HealthDataParser.parse_weight(test)
        print(f"Input: {test:15} → {result} kg")


def test_pydantic_validation():
    """Test Pydantic automatic validation"""
    print("\n" + "=" * 60)
    print("PYDANTIC VALIDATION TEST")
    print("=" * 60)
    
    # Test 1: Valid data with various formats
    print("\n✅ Test 1: Valid data with mixed formats")
    try:
        profile = PydanticUserHealthProfile(
            user_id="user123",
            age="25 tuổi",        # Will parse to 25
            gender="male",
            weight="70kg",        # Will parse to 70.0
            height="1.78m"        # Will parse to 178.0
        )
        print(f"   Age: {profile.age}")
        print(f"   Weight: {profile.weight} kg")
        print(f"   Height: {profile.height} cm")
        print(f"   BMI: {profile.bmi} ({profile.get_bmi_category()})")
        print("   ✅ Success!")
    except Exception as e:
        print(f"   ❌ Error: {e}")
    
    # Test 2: Invalid height (too high)
    print("\n❌ Test 2: Invalid height (too high)")
    try:
        profile = PydanticUserHealthProfile(
            user_id="user456",
            height="500cm"  # Too high!
        )
        print("   ❌ Should have failed!")
    except Exception as e:
        print(f"   ✅ Caught error: {e}")
    
    # Test 3: Invalid age (too young)
    print("\n❌ Test 3: Invalid age (too young)")
    try:
        profile = PydanticUserHealthProfile(
            user_id="user789",
            age=10  # Too young!
        )
        print("   ❌ Should have failed!")
    except Exception as e:
        print(f"   ✅ Caught error: {e}")
    
    # Test 4: Auto BMI calculation
    print("\n✅ Test 4: Auto BMI calculation")
    profile = PydanticUserHealthProfile(
        user_id="user999",
        weight="70kg",
        height="1,75m"  # Comma separator!
    )
    print(f"   Weight: {profile.weight} kg")
    print(f"   Height: {profile.height} cm")
    print(f"   BMI: {profile.bmi} (auto-calculated)")
    print(f"   Category: {profile.get_bmi_category()}")


def test_health_records():
    """Test health records with validation"""
    print("\n" + "=" * 60)
    print("HEALTH RECORDS TEST")
    print("=" * 60)
    
    # Create nutrition record
    print("\n📊 Creating Nutrition Record")
    nutrition = NutritionRecord(
        user_id="user123",
        height="1.78m",
        weight="70kg",
        data={
            'calories': 2000,
            'protein': 150,
            'carbs': 200,
            'fat': 60
        }
    )
    print(f"   Height: {nutrition.height} cm")
    print(f"   Weight: {nutrition.weight} kg")
    print(f"   BMI: {nutrition.bmi}")
    print(f"   Calories: {nutrition.data['calories']}")
    
    # Create exercise record
    print("\n🏃 Creating Exercise Record")
    exercise = ExerciseRecord(
        user_id="user123",
        data={
            'exercise_type': 'cardio',
            'duration_minutes': 30,
            'calories_burned': 300
        }
    )
    print(f"   Type: {exercise.data['exercise_type']}")
    print(f"   Duration: {exercise.data['duration_minutes']} min")
    print(f"   Calories: {exercise.data['calories_burned']}")


def test_merge_records():
    """Test merging records from multiple days"""
    print("\n" + "=" * 60)
    print("MERGE RECORDS TEST")
    print("=" * 60)
    
    # Create sample records over 7 days
    records = []
    base_date = datetime.now() - timedelta(days=7)
    
    for i in range(7):
        # Nutrition record
        nutrition = NutritionRecord(
            user_id="user123",
            weight=70 - i * 0.2,  # Gradually losing weight
            height=178,
            data={
                'calories': 1800 + i * 50,
                'protein': 140 + i * 5,
            }
        )
        nutrition.timestamp = base_date + timedelta(days=i)
        records.append(nutrition)
        
        # Exercise record
        exercise = ExerciseRecord(
            user_id="user123",
            data={
                'exercise_type': 'cardio' if i % 2 == 0 else 'strength',
                'duration_minutes': 30 + i * 5,
                'calories_burned': 250 + i * 20
            }
        )
        exercise.timestamp = base_date + timedelta(days=i)
        records.append(exercise)
    
    print(f"\n📦 Created {len(records)} records over 7 days")
    
    # Merge with average strategy
    print("\n📊 Merging with 'average' strategy:")
    merged = merge_records(records, strategy='average')
    
    print(f"\nTotal records: {merged['total_records']}")
    print(f"Date range: {merged['date_range']['start'][:10]} to {merged['date_range']['end'][:10]}")
    
    if 'nutrition' in merged['by_type']:
        nutrition_data = merged['by_type']['nutrition']
        print(f"\n🍎 Nutrition Summary:")
        print(f"   Average calories: {nutrition_data['average_daily']['calories']}")
        print(f"   Average protein: {nutrition_data['average_daily']['protein']}g")
    
    if 'exercise' in merged['by_type']:
        exercise_data = merged['by_type']['exercise']
        print(f"\n🏃 Exercise Summary:")
        print(f"   Total workouts: {exercise_data['total_workouts']}")
        print(f"   Total duration: {exercise_data['total_duration_minutes']} min")
        print(f"   Total calories burned: {exercise_data['total_calories_burned']}")
        print(f"   Exercise types: {exercise_data['exercise_types']}")
    
    if 'health_metrics' in merged and 'weight' in merged['health_metrics']:
        weight_data = merged['health_metrics']['weight']
        print(f"\n⚖️  Weight Progress:")
        print(f"   Start: {weight_data['max']} kg")
        print(f"   End: {weight_data['latest']} kg")
        print(f"   Change: {weight_data['change']} kg")
        print(f"   Average: {weight_data['average']} kg")


if __name__ == '__main__':
    test_height_parsing()
    test_weight_parsing()
    test_pydantic_validation()
    test_health_records()
    test_merge_records()
    
    print("\n" + "=" * 60)
    print("✅ ALL TESTS COMPLETE!")
    print("=" * 60)