"""Configuration management for the Sleeper MCP server.
This module handles all configuration settings for the application, including:
- Server settings
- API endpoints
- Rate limiting parameters
- Caching configuration
"""
from functools import lru_cache
from typing import Optional
from pydantic import BaseModel, Field, HttpUrl
class SleeperAPIConfig(BaseModel):
"""Configuration for the Sleeper API."""
base_url: HttpUrl = Field(
default="https://api.sleeper.app/v1",
description="Base URL for the Sleeper API",
)
rate_limit_per_minute: int = Field(
default=1000,
description="Maximum number of requests allowed per minute",
)
timeout_seconds: float = Field(
default=30.0,
description="Timeout for API requests in seconds",
)
class CacheConfig(BaseModel):
"""Configuration for caching."""
ttl_seconds: int = Field(
default=300,
description="Time to live for cached items in seconds",
)
max_size: int = Field(
default=1000,
description="Maximum number of items in the cache",
)
class ServerConfig(BaseModel):
"""Main server configuration."""
host: str = Field(
default="0.0.0.0",
description="Host to bind the server to",
)
port: int = Field(
default=8000,
description="Port to run the server on",
)
debug: bool = Field(
default=False,
description="Enable debug mode",
)
environment: str = Field(
default="development",
description="Server environment (development/production)",
)
class Config(BaseModel):
"""Root configuration class combining all settings."""
server: ServerConfig = Field(default_factory=ServerConfig)
sleeper_api: SleeperAPIConfig = Field(default_factory=SleeperAPIConfig)
cache: CacheConfig = Field(default_factory=CacheConfig)
@lru_cache()
def get_config() -> Config:
"""Get the application configuration.
Returns:
Config: Application configuration object
Note:
This function is cached to avoid reading/parsing configuration multiple times.
"""
return Config()
