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/core/ai_config.py

@@ -1,6 +1,8 @@
 import dspy
+
 from app.config import settings
 
+
 def configure_dspy():
     if settings.OPENAI_API_KEY:
         lm = dspy.LM("openai/gpt-4o-mini", api_key=settings.OPENAI_API_KEY)

backend/app/core/security.py

@@ -1,24 +1,29 @@
 from datetime import datetime, timedelta
 from typing import Any, Union
+
 from jose import jwt
 from passlib.context import CryptContext
+
 from app.config import settings
 
 pwd_context = CryptContext(schemes=["bcrypt"], deprecated="auto")
 ALGORITHM = "HS256"
 
+
 def create_access_token(subject: Union[str, Any], expires_delta: timedelta = None) -> str:
     if expires_delta:
         expire = datetime.utcnow() + expires_delta
     else:
         expire = datetime.utcnow() + timedelta(minutes=settings.ACCESS_TOKEN_EXPIRE_MINUTES)
-    
+
     to_encode = {"exp": expire, "sub": str(subject)}
     encoded_jwt = jwt.encode(to_encode, settings.SECRET_KEY, algorithm=ALGORITHM)
     return encoded_jwt
 
+
 def verify_password(plain_password: str, hashed_password: str) -> bool:
     return pwd_context.verify(plain_password, hashed_password)
 
+
 def get_password_hash(password: str) -> str:
     return pwd_context.hash(password)