app/config.py

"""
Configuration Management
"""
import os
from pathlib import Path
from typing import Optional
from pydantic_settings import BaseSettings
from functools import lru_cache


class Settings(BaseSettings):
    """Application Settings"""
    
    # Environment
    ENV: str = "development"
    
    # API Configuration
    API_HOST: str = "0.0.0.0"
    API_PORT: int = 7860
    API_WORKERS: int = 1
    API_TITLE: str = "SWARA API"
    API_VERSION: str = "1.0.0"
    API_DESCRIPTION: str = "AI-Powered Public Speaking Evaluation API"
    
    # Redis Configuration
    REDIS_URL: str = "redis://localhost:6379"
    
    # Processing Configuration
    MAX_VIDEO_SIZE_MB: int = 50
    MAX_VIDEO_DURATION_SECONDS: int = 60
    TEMP_DIR: str = "./temp"
    MODELS_DIR: str = "./models"
    
    # Task Configuration
    TASK_TIMEOUT_SECONDS: int = 900  # 15 minutes untuk sequential processing
    TASK_RESULT_TTL_SECONDS: int = 3600  # 1 hour
    TASK_QUEUE_NAME: str = "swara:tasks"
    
    # Rate Limiting
    RATE_LIMIT_REQUESTS: int = 10
    RATE_LIMIT_PERIOD_SECONDS: int = 3600
    
    # Logging
    LOG_LEVEL: str = "INFO"
    
    # Model Paths
    FACIAL_EXPRESSION_MODEL: str = "models/best.onnx"
    
    class Config:
        env_file = ".env"
        case_sensitive = True
    
    def get_temp_dir(self) -> Path:
        """Get temporary directory path"""
        path = Path(self.TEMP_DIR)
        path.mkdir(parents=True, exist_ok=True)
        return path
    
    def get_models_dir(self) -> Path:
        """Get models directory path"""
        path = Path(self.MODELS_DIR)
        path.mkdir(parents=True, exist_ok=True)
        return path
    
    @property
    def max_video_size_bytes(self) -> int:
        """Get max video size in bytes"""
        return self.MAX_VIDEO_SIZE_MB * 1024 * 1024


@lru_cache()
def get_settings() -> Settings:
    """Get cached settings instance"""
    return Settings()


# Global settings instance
settings = get_settings()