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Set up backend and frontend structure for a health and fitness tracker using Python (FastAPI, SQLModel, DSPy) and React. Includes Docker and Compose configs, authentication, nutrition AI module, health/nutrition/user endpoints, database models, and basic frontend with routing and context. Enables tracking nutrition, health metrics, and user management, with architecture ready for future mobile and cloud deployment.
20 lines
773 B
Python
20 lines
773 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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