"""
Health Data Models - SQLAlchemy ORM models for persistent health data storage
"""

from datetime import datetime
from typing import List, Optional, Dict, Any
import json
import uuid

# Note: This file defines the data models
# In production, use SQLAlchemy with proper database setup
# For now, we'll use a simple dictionary-based approach with JSON serialization

class UserHealthProfile:
    """User's health profile - persistent across sessions"""
    
    def __init__(self, user_id: str):
        self.user_id = user_id
        self.age: Optional[int] = None
        self.gender: Optional[str] = None
        self.weight: Optional[float] = None  # kg
        self.height: Optional[float] = None  # cm
        self.bmi: Optional[float] = None
        self.activity_level: Optional[str] = None  # low/moderate/high
        self.fitness_level: Optional[str] = None  # beginner/intermediate/advanced
        self.health_conditions: List[str] = []
        self.medications: List[str] = []
        self.allergies: List[str] = []
        self.dietary_restrictions: List[str] = []
        self.created_at: datetime = datetime.now()
        self.updated_at: datetime = datetime.now()
    
    def to_dict(self) -> Dict[str, Any]:
        """Convert to dictionary for JSON serialization"""
        return {
            'user_id': self.user_id,
            'age': self.age,
            'gender': self.gender,
            'weight': self.weight,
            'height': self.height,
            'bmi': self.bmi,
            'activity_level': self.activity_level,
            'fitness_level': self.fitness_level,
            'health_conditions': self.health_conditions,
            'medications': self.medications,
            'allergies': self.allergies,
            'dietary_restrictions': self.dietary_restrictions,
            'created_at': self.created_at.isoformat(),
            'updated_at': self.updated_at.isoformat()
        }
    
    @classmethod
    def from_dict(cls, data: Dict[str, Any]) -> 'UserHealthProfile':
        """Create from dictionary"""
        profile = cls(data['user_id'])
        profile.age = data.get('age')
        profile.gender = data.get('gender')
        profile.weight = data.get('weight')
        profile.height = data.get('height')
        profile.bmi = data.get('bmi')
        profile.activity_level = data.get('activity_level')
        profile.fitness_level = data.get('fitness_level')
        profile.health_conditions = data.get('health_conditions', [])
        profile.medications = data.get('medications', [])
        profile.allergies = data.get('allergies', [])
        profile.dietary_restrictions = data.get('dietary_restrictions', [])
        profile.created_at = datetime.fromisoformat(data.get('created_at', datetime.now().isoformat()))
        profile.updated_at = datetime.fromisoformat(data.get('updated_at', datetime.now().isoformat()))
        return profile


class HealthRecord:
    """Individual health record - tracks interactions and data"""
    
    def __init__(self, user_id: str, record_type: str, data: Dict[str, Any]):
        self.record_id = str(uuid.uuid4())
        self.user_id = user_id
        self.record_type = record_type  # symptom/nutrition/exercise/mental/general
        self.data = data
        self.timestamp = datetime.now()
        self.agent_name: Optional[str] = None
        self.confidence: float = 0.5
    
    def to_dict(self) -> Dict[str, Any]:
        return {
            'record_id': self.record_id,
            'user_id': self.user_id,
            'record_type': self.record_type,
            'data': self.data,
            'timestamp': self.timestamp.isoformat(),
            'agent_name': self.agent_name,
            'confidence': self.confidence
        }
    
    @classmethod
    def from_dict(cls, data: Dict[str, Any]) -> 'HealthRecord':
        record = cls(data['user_id'], data['record_type'], data['data'])
        record.record_id = data['record_id']
        record.timestamp = datetime.fromisoformat(data['timestamp'])
        record.agent_name = data.get('agent_name')
        record.confidence = data.get('confidence', 0.5)
        return record


class UserPreferences:
    """User preferences for personalization"""
    
    def __init__(self, user_id: str):
        self.user_id = user_id
        self.preferred_exercise_types: List[str] = []
        self.dietary_preferences: List[str] = []
        self.communication_style: str = 'friendly'  # friendly/formal/casual
        self.notification_preferences: Dict[str, Any] = {}
        self.goals: List[str] = []
        self.updated_at: datetime = datetime.now()
    
    def to_dict(self) -> Dict[str, Any]:
        return {
            'user_id': self.user_id,
            'preferred_exercise_types': self.preferred_exercise_types,
            'dietary_preferences': self.dietary_preferences,
            'communication_style': self.communication_style,
            'notification_preferences': self.notification_preferences,
            'goals': self.goals,
            'updated_at': self.updated_at.isoformat()
        }
    
    @classmethod
    def from_dict(cls, data: Dict[str, Any]) -> 'UserPreferences':
        prefs = cls(data['user_id'])
        prefs.preferred_exercise_types = data.get('preferred_exercise_types', [])
        prefs.dietary_preferences = data.get('dietary_preferences', [])
        prefs.communication_style = data.get('communication_style', 'friendly')
        prefs.notification_preferences = data.get('notification_preferences', {})
        prefs.goals = data.get('goals', [])
        prefs.updated_at = datetime.fromisoformat(data.get('updated_at', datetime.now().isoformat()))
        return prefs


class FitnessProgress:
    """Fitness workout record"""
    
    def __init__(self, user_id: str):
        self.progress_id = str(uuid.uuid4())
        self.user_id = user_id
        self.workout_date: datetime = datetime.now()
        self.workout_type: str = ''  # cardio/strength/flexibility/sports
        self.duration_minutes: int = 0
        self.intensity: str = 'medium'  # low/medium/high
        self.exercises_completed: int = 0
        self.exercises_total: int = 0
        self.notes: str = ''
        self.timestamp: datetime = datetime.now()
    
    def to_dict(self) -> Dict[str, Any]:
        return {
            'progress_id': self.progress_id,
            'user_id': self.user_id,
            'workout_date': self.workout_date.isoformat(),
            'workout_type': self.workout_type,
            'duration_minutes': self.duration_minutes,
            'intensity': self.intensity,
            'exercises_completed': self.exercises_completed,
            'exercises_total': self.exercises_total,
            'notes': self.notes,
            'timestamp': self.timestamp.isoformat()
        }
    
    @classmethod
    def from_dict(cls, data: Dict[str, Any]) -> 'FitnessProgress':
        progress = cls(data['user_id'])
        progress.progress_id = data['progress_id']
        progress.workout_date = datetime.fromisoformat(data['workout_date'])
        progress.workout_type = data.get('workout_type', '')
        progress.duration_minutes = data.get('duration_minutes', 0)
        progress.intensity = data.get('intensity', 'medium')
        progress.exercises_completed = data.get('exercises_completed', 0)
        progress.exercises_total = data.get('exercises_total', 0)
        progress.notes = data.get('notes', '')
        progress.timestamp = datetime.fromisoformat(data['timestamp'])
        return progress


class HealthMetrics:
    """Health measurement record"""
    
    def __init__(self, user_id: str, metric_type: str, value: float, unit: str):
        self.metric_id = str(uuid.uuid4())
        self.user_id = user_id
        self.metric_type = metric_type  # weight/bp/glucose/heart_rate/etc
        self.value = value
        self.unit = unit
        self.recorded_date: datetime = datetime.now()
        self.timestamp: datetime = datetime.now()
    
    def to_dict(self) -> Dict[str, Any]:
        return {
            'metric_id': self.metric_id,
            'user_id': self.user_id,
            'metric_type': self.metric_type,
            'value': self.value,
            'unit': self.unit,
            'recorded_date': self.recorded_date.isoformat(),
            'timestamp': self.timestamp.isoformat()
        }
    
    @classmethod
    def from_dict(cls, data: Dict[str, Any]) -> 'HealthMetrics':
        metric = cls(data['user_id'], data['metric_type'], data['value'], data['unit'])
        metric.metric_id = data['metric_id']
        metric.recorded_date = datetime.fromisoformat(data['recorded_date'])
        metric.timestamp = datetime.fromisoformat(data['timestamp'])
        return metric