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184c8330a7
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.
14 lines
551 B
Python
14 lines
551 B
Python
from datetime import datetime
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from typing import Optional
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from sqlmodel import JSON, Field, SQLModel
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class Plan(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: str = Field(index=True) # e.g., "lose weight", "gain muscle"
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content: str = Field(description="The full plan content in markdown or text")
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structured_content: dict = Field(default={}, sa_type=JSON) # For UI rendering
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created_at: datetime = Field(default_factory=datetime.utcnow)
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