Spaces:
Runtime error
Runtime error
File size: 8,626 Bytes
eeb0f9c |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 |
"""
Pydantic Models for Health Data
Provides automatic validation and parsing
"""
from datetime import datetime
from typing import Optional, List, Dict, Any, Union
from pydantic import BaseModel, Field, field_validator, model_validator
from enum import Enum
from .validators import HealthDataParser, HealthDataValidator
class Gender(str, Enum):
"""Gender enum"""
MALE = "male"
FEMALE = "female"
OTHER = "other"
class ActivityLevel(str, Enum):
"""Activity level enum"""
SEDENTARY = "sedentary" # Ít vận động
LIGHT = "light" # Vận động nhẹ
MODERATE = "moderate" # Vận động vừa
ACTIVE = "active" # Vận động nhiều
VERY_ACTIVE = "very_active" # Vận động rất nhiều
class FitnessLevel(str, Enum):
"""Fitness level enum"""
BEGINNER = "beginner"
INTERMEDIATE = "intermediate"
ADVANCED = "advanced"
class RecordType(str, Enum):
"""Health record type"""
NUTRITION = "nutrition"
EXERCISE = "exercise"
SYMPTOM = "symptom"
MENTAL_HEALTH = "mental_health"
GENERAL_HEALTH = "general_health"
class HealthRecord(BaseModel):
"""
Health Record with Pydantic validation
Automatically validates and normalizes health data
"""
record_id: str = Field(default_factory=lambda: str(__import__('uuid').uuid4()))
user_id: str
record_type: RecordType
data: Dict[str, Any] = Field(default_factory=dict)
timestamp: datetime = Field(default_factory=datetime.now)
agent_name: Optional[str] = None
confidence: float = Field(default=0.5, ge=0.0, le=1.0)
# Health metrics (optional, extracted from data)
height: Optional[float] = Field(None, description="Height in cm")
weight: Optional[float] = Field(None, description="Weight in kg")
age: Optional[int] = Field(None, description="Age in years")
gender: Optional[Gender] = None
bmi: Optional[float] = Field(None, description="BMI")
class Config:
use_enum_values = True
json_encoders = {
datetime: lambda v: v.isoformat()
}
@field_validator('height', mode='before')
@classmethod
def parse_height(cls, v):
"""Parse height from various formats"""
if v is None:
return None
parsed = HealthDataParser.parse_height(v)
if parsed is not None:
is_valid, error = HealthDataValidator.validate_height(parsed)
if not is_valid:
raise ValueError(error)
return parsed
@field_validator('weight', mode='before')
@classmethod
def parse_weight(cls, v):
"""Parse weight from various formats"""
if v is None:
return None
parsed = HealthDataParser.parse_weight(v)
if parsed is not None:
is_valid, error = HealthDataValidator.validate_weight(parsed)
if not is_valid:
raise ValueError(error)
return parsed
@field_validator('age', mode='before')
@classmethod
def parse_age(cls, v):
"""Parse age from various formats"""
if v is None:
return None
parsed = HealthDataParser.parse_age(v)
if parsed is not None:
is_valid, error = HealthDataValidator.validate_age(parsed)
if not is_valid:
raise ValueError(error)
return parsed
@field_validator('bmi', mode='before')
@classmethod
def parse_bmi(cls, v):
"""Parse BMI"""
if v is None:
return None
parsed = HealthDataParser.parse_bmi(v)
if parsed is not None:
is_valid, error = HealthDataValidator.validate_bmi(parsed)
if not is_valid:
raise ValueError(error)
return parsed
@model_validator(mode='after')
def calculate_bmi_if_missing(self):
"""Auto-calculate BMI if weight and height are provided"""
if self.bmi is None and self.weight and self.height:
self.bmi = HealthDataValidator.calculate_bmi(self.weight, self.height)
return self
class UserHealthProfile(BaseModel):
"""
User Health Profile with Pydantic validation
"""
user_id: str
age: Optional[int] = Field(None, ge=13, le=150)
gender: Optional[Gender] = None
weight: Optional[float] = Field(None, ge=20, le=300, description="Weight in kg")
height: Optional[float] = Field(None, ge=50, le=300, description="Height in cm")
bmi: Optional[float] = Field(None, ge=10, le=60)
activity_level: Optional[ActivityLevel] = None
fitness_level: Optional[FitnessLevel] = None
health_conditions: List[str] = Field(default_factory=list)
medications: List[str] = Field(default_factory=list)
allergies: List[str] = Field(default_factory=list)
dietary_restrictions: List[str] = Field(default_factory=list)
created_at: datetime = Field(default_factory=datetime.now)
updated_at: datetime = Field(default_factory=datetime.now)
class Config:
use_enum_values = True
json_encoders = {
datetime: lambda v: v.isoformat()
}
@field_validator('height', mode='before')
@classmethod
def parse_height(cls, v):
"""Parse height from various formats"""
if v is None:
return None
return HealthDataParser.parse_height(v)
@field_validator('weight', mode='before')
@classmethod
def parse_weight(cls, v):
"""Parse weight from various formats"""
if v is None:
return None
return HealthDataParser.parse_weight(v)
@field_validator('age', mode='before')
@classmethod
def parse_age(cls, v):
"""Parse age from various formats"""
if v is None:
return None
return HealthDataParser.parse_age(v)
@model_validator(mode='after')
def calculate_bmi_if_missing(self):
"""Auto-calculate BMI if weight and height are provided"""
if self.bmi is None and self.weight and self.height:
self.bmi = HealthDataValidator.calculate_bmi(self.weight, self.height)
return self
def get_bmi_category(self) -> str:
"""Get BMI category"""
return HealthDataValidator.get_bmi_category(self.bmi)
def is_complete(self) -> bool:
"""Check if profile has all essential data"""
return all([
self.age is not None,
self.gender is not None,
self.weight is not None,
self.height is not None
])
def get_missing_fields(self) -> List[str]:
"""Get list of missing essential fields"""
missing = []
if self.age is None:
missing.append('age')
if self.gender is None:
missing.append('gender')
if self.weight is None:
missing.append('weight')
if self.height is None:
missing.append('height')
return missing
class NutritionRecord(HealthRecord):
"""Nutrition-specific health record"""
record_type: RecordType = Field(default=RecordType.NUTRITION, frozen=True)
calories: Optional[float] = Field(None, ge=0, le=10000)
protein: Optional[float] = Field(None, ge=0, le=500)
carbs: Optional[float] = Field(None, ge=0, le=1000)
fat: Optional[float] = Field(None, ge=0, le=500)
meal_type: Optional[str] = None # breakfast/lunch/dinner/snack
class ExerciseRecord(HealthRecord):
"""Exercise-specific health record"""
record_type: RecordType = Field(default=RecordType.EXERCISE, frozen=True)
exercise_type: Optional[str] = None # cardio/strength/flexibility/sports
duration_minutes: Optional[int] = Field(None, ge=0, le=600)
intensity: Optional[str] = None # low/medium/high
calories_burned: Optional[float] = Field(None, ge=0, le=5000)
class SymptomRecord(HealthRecord):
"""Symptom-specific health record"""
record_type: RecordType = Field(default=RecordType.SYMPTOM, frozen=True)
symptoms: List[str] = Field(default_factory=list)
severity: Optional[int] = Field(None, ge=1, le=10)
duration_days: Optional[int] = Field(None, ge=0, le=365)
body_part: Optional[str] = None
class MentalHealthRecord(HealthRecord):
"""Mental health-specific health record"""
record_type: RecordType = Field(default=RecordType.MENTAL_HEALTH, frozen=True)
mood: Optional[str] = None
stress_level: Optional[int] = Field(None, ge=1, le=10)
sleep_hours: Optional[float] = Field(None, ge=0, le=24)
sleep_quality: Optional[int] = Field(None, ge=1, le=10)
|