Initial microservices setup from artifacts

services/training/app/core/config.py

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+"""
+Training service configuration
+"""
+
+import os
+from pydantic import BaseSettings
+
+class Settings(BaseSettings):
+    """Application settings"""
+    
+    # Basic settings
+    APP_NAME: str = "Training Service"
+    VERSION: str = "1.0.0"
+    DEBUG: bool = os.getenv("DEBUG", "False").lower() == "true"
+    LOG_LEVEL: str = os.getenv("LOG_LEVEL", "INFO")
+    
+    # Database settings
+    DATABASE_URL: str = os.getenv("DATABASE_URL", "postgresql+asyncpg://training_user:training_pass123@training-db:5432/training_db")
+    
+    # Redis settings
+    REDIS_URL: str = os.getenv("REDIS_URL", "redis://redis:6379/1")
+    
+    # RabbitMQ settings
+    RABBITMQ_URL: str = os.getenv("RABBITMQ_URL", "amqp://bakery:forecast123@rabbitmq:5672/")
+    
+    # Service URLs
+    AUTH_SERVICE_URL: str = os.getenv("AUTH_SERVICE_URL", "http://auth-service:8000")
+    DATA_SERVICE_URL: str = os.getenv("DATA_SERVICE_URL", "http://data-service:8000")
+    
+    # ML Settings
+    MODEL_STORAGE_PATH: str = os.getenv("MODEL_STORAGE_PATH", "/app/models")
+    MAX_TRAINING_TIME_MINUTES: int = int(os.getenv("MAX_TRAINING_TIME_MINUTES", "30"))
+    MIN_TRAINING_DATA_DAYS: int = int(os.getenv("MIN_TRAINING_DATA_DAYS", "30"))
+    
+    # Prophet Settings
+    PROPHET_SEASONALITY_MODE: str = os.getenv("PROPHET_SEASONALITY_MODE", "additive")
+    PROPHET_DAILY_SEASONALITY: bool = os.getenv("PROPHET_DAILY_SEASONALITY", "true").lower() == "true"
+    PROPHET_WEEKLY_SEASONALITY: bool = os.getenv("PROPHET_WEEKLY_SEASONALITY", "true").lower() == "true"
+    PROPHET_YEARLY_SEASONALITY: bool = os.getenv("PROPHET_YEARLY_SEASONALITY", "true").lower() == "true"
+    
+    class Config:
+        env_file = ".env"
+
+settings = Settings()