Add AI-powered nutrition and plan modules

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.

backend/app/models/food.py

@@ -1,8 +1,10 @@
 from datetime import datetime
-from typing import Optional, List, Dict
-from sqlmodel import Field, SQLModel, JSON
+from typing import Dict, List, Optional
+
 from pgvector.sqlalchemy import Vector
 from sqlalchemy import Column
+from sqlmodel import JSON, Field, SQLModel
+
 
 class FoodItem(SQLModel, table=True):
     id: Optional[int] = Field(default=None, primary_key=True)
@@ -12,13 +14,14 @@ class FoodItem(SQLModel, table=True):
     carbs: float
     fats: float
     micros: Dict = Field(default={}, sa_column=Column(JSON))
-    embedding: List[float] = Field(sa_column=Column(Vector(1536))) # OpenAI embedding size
+    embedding: List[float] = Field(sa_column=Column(Vector(1536)))  # OpenAI embedding size
+
 
 class FoodLog(SQLModel, table=True):
     id: Optional[int] = Field(default=None, primary_key=True)
     user_id: int = Field(foreign_key="user.id")
     food_item_id: Optional[int] = Field(default=None, foreign_key="fooditem.id")
-    name: str # In case no food item is linked or custom entry
+    name: str  # In case no food item is linked or custom entry
     calories: float
     protein: float
     carbs: float

backend/app/models/health.py

@@ -1,19 +1,22 @@
 from datetime import datetime
 from typing import Optional
+
 from sqlmodel import Field, SQLModel
 
+
 class HealthMetric(SQLModel, table=True):
     id: Optional[int] = Field(default=None, primary_key=True)
     user_id: int = Field(foreign_key="user.id")
-    metric_type: str = Field(index=True) # e.g., "weight", "cholesterol", "testosterone"
+    metric_type: str = Field(index=True)  # e.g., "weight", "cholesterol", "testosterone"
     value: float
     unit: str
     timestamp: datetime = Field(default_factory=datetime.utcnow)
 
+
 class HealthGoal(SQLModel, table=True):
     id: Optional[int] = Field(default=None, primary_key=True)
     user_id: int = Field(foreign_key="user.id")
-    goal_type: str # e.g., "lose_weight", "gain_muscle"
+    goal_type: str  # e.g., "lose_weight", "gain_muscle"
     target_value: float
     target_date: Optional[datetime] = None
     created_at: datetime = Field(default_factory=datetime.utcnow)

backend/app/models/plan.py

@@ -0,0 +1,13 @@
+from datetime import datetime
+from typing import Optional
+
+from sqlmodel import JSON, Field, SQLModel
+
+
+class Plan(SQLModel, table=True):
+    id: Optional[int] = Field(default=None, primary_key=True)
+    user_id: int = Field(foreign_key="user.id")
+    goal: str = Field(index=True)  # e.g., "lose weight", "gain muscle"
+    content: str = Field(description="The full plan content in markdown or text")
+    structured_content: dict = Field(default={}, sa_type=JSON)  # For UI rendering
+    created_at: datetime = Field(default_factory=datetime.utcnow)

backend/app/models/user.py

@@ -1,7 +1,9 @@
 from datetime import datetime
 from typing import Optional
+
 from sqlmodel import Field, SQLModel
 
+
 class User(SQLModel, table=True):
     id: Optional[int] = Field(default=None, primary_key=True)
     username: str = Field(index=True, unique=True)