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"""
Application settings and configuration.
This module uses Pydantic Settings for environment variable management
and configuration validation.
"""
from functools import lru_cache
from pathlib import Path
from pydantic_settings import BaseSettings, SettingsConfigDict
class Settings(BaseSettings):
"""
Application settings loaded from environment variables.
All settings can be overridden via environment variables with the
same name. Example: APP_NAME="My API" in .env file.
"""
# Application Info
APP_NAME: str = "Unified Embedding API - Dense & Sparse Embedding"
VERSION: str = "3.5.0"
DEBUG: bool = False
ENVIRONMENT: str = "development" # development, staging, production
# Server Configuration
HOST: str = "0.0.0.0"
PORT: int = 7860
WORKERS: int = 1
RELOAD: bool = False
# Model Configuration
MODEL_CONFIG_PATH: str = "src/config/models.yaml"
MODEL_CACHE_DIR: str = "./model_cache"
PRELOAD_MODELS: bool = True
# Request Limits
MAX_TEXT_LENGTH: int = 32000
MAX_BATCH_SIZE: int = 100
REQUEST_TIMEOUT: int = 30
# Logging
LOG_LEVEL: str = "INFO" # DEBUG, INFO, WARNING, ERROR, CRITICAL
LOG_FILE: bool = True # Write logs to file
LOG_DIR: str = "logs"
CORS_ENABLED: bool = False
CORS_ORIGINS: list[str] = ["*"]
# Model Settings
DEVICE: str = "cpu" # "cpu" or "cuda
TRUST_REMOTE_CODE: bool = True # For models requiring remote code
model_config = SettingsConfigDict(
env_file=".env",
env_file_encoding="utf-8",
case_sensitive=True,
extra="ignore",
)
@property
def model_config_file(self) -> Path:
"""Get Path object for model configuration file."""
return Path(self.MODEL_CONFIG_PATH)
@property
def is_production(self) -> bool:
"""Check if running in production environment."""
return self.ENVIRONMENT.lower() == "production"
@property
def is_development(self) -> bool:
"""Check if running in development environment."""
return self.ENVIRONMENT.lower() == "development"
def validate_paths(self) -> None:
"""
Validate that required paths exist.
Raises:
FileNotFoundError: If model config file is not found
"""
if not self.model_config_file.exists():
raise FileNotFoundError(
f"Model configuration file not found: {self.MODEL_CONFIG_PATH}"
)
Path(self.MODEL_CACHE_DIR).mkdir(parents=True, exist_ok=True)
if self.LOG_FILE:
Path(self.LOG_DIR).mkdir(parents=True, exist_ok=True)
@lru_cache()
def get_settings() -> Settings:
"""
Get cached settings instance.
Uses lru_cache to ensure settings are loaded only once
and reused across the application.
Returns:
Settings instance
"""
settings = Settings()
settings.validate_paths()
return settings
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