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Introduces DSPy-based nutrition and plan generation modules, including image analysis for nutritional info and personalized diet/exercise plans. Adds new API endpoints for health metrics/goals, nutrition image analysis, and plan management. Updates models, schemas, and backend structure to support these features, and includes initial training data and configuration for prompt optimization.
23 lines
778 B
Python
23 lines
778 B
Python
from datetime import datetime
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from typing import Optional
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from sqlmodel import Field, SQLModel
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class HealthMetric(SQLModel, table=True):
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id: Optional[int] = Field(default=None, primary_key=True)
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user_id: int = Field(foreign_key="user.id")
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metric_type: str = Field(index=True) # e.g., "weight", "cholesterol", "testosterone"
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value: float
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unit: str
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timestamp: datetime = Field(default_factory=datetime.utcnow)
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class HealthGoal(SQLModel, table=True):
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id: Optional[int] = Field(default=None, primary_key=True)
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user_id: int = Field(foreign_key="user.id")
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goal_type: str # e.g., "lose_weight", "gain_muscle"
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target_value: float
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target_date: Optional[datetime] = None
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created_at: datetime = Field(default_factory=datetime.utcnow)
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