Files
Mini-Nav/mini-nav/configs/config.py

136 lines
4.3 KiB
Python

"""Configuration manager for multiple configurations."""
from enum import Enum
from pathlib import Path
from typing import Dict, Optional
from .loader import load_yaml, save_yaml
from .models import FeatureCompressorConfig
class ConfigType(str, Enum):
FeatureCompressor = "feature_compressor"
class ConfigManager:
"""Singleton configuration manager supporting multiple configs."""
_instance: Optional["ConfigManager"] = None
_configs: Dict[str, FeatureCompressorConfig] = {}
def __new__(cls) -> "ConfigManager":
if cls._instance is None:
cls._instance = super().__new__(cls)
return cls._instance
def __init__(self):
self.config_dir = Path(__file__).parent
def load_config(self, config_name: ConfigType) -> FeatureCompressorConfig:
"""Load configuration from YAML file.
Args:
config_name: Name of config file without extension
Returns:
Loaded and validated FeatureCompressorConfig instance
"""
config_path = self.config_dir / f"{config_name}.yaml"
config = load_yaml(config_path, FeatureCompressorConfig)
self._configs[config_name] = config
return config
def load_all_configs(self) -> Dict[str, FeatureCompressorConfig]:
"""Load all YAML configuration files from config directory.
Returns:
Dictionary mapping config names to FeatureCompressorConfig instances
"""
config_files = list(self.config_dir.glob("*.yaml"))
loaded_configs = {}
for config_path in config_files:
config_name = config_path.stem
if config_name.startswith("_"):
continue # Skip private configs
config = load_yaml(config_path, FeatureCompressorConfig)
loaded_configs[config_name] = config
self._configs.update(loaded_configs)
return loaded_configs
def get_config(self, config_name: ConfigType) -> FeatureCompressorConfig:
"""Get loaded configuration by name.
Args:
config_name: Name of configuration to retrieve
Returns:
FeatureCompressorConfig instance
Raises:
ValueError: If configuration not loaded
"""
if config_name not in self._configs:
raise ValueError(
f"Configuration '{config_name}' not loaded. "
f"Call load_config('{config_name}') or load_all_configs() first."
)
return self._configs[config_name]
def get_or_load_config(self, config_name: ConfigType) -> FeatureCompressorConfig:
"""Get loaded configuration by name or load it if not loaded.
Args:
config_name: Name of configuration to retrieve
Returns:
FeatureCompressorConfig instance
Raises:
ValueError: If configuration not loaded
"""
if config_name not in self._configs:
return self.load_config(config_name)
return self._configs[config_name]
def list_configs(self) -> list[str]:
"""List names of all currently loaded configurations.
Returns:
List of configuration names
"""
return list(self._configs.keys())
def save_config(
self,
config_name: ConfigType,
config: Optional[FeatureCompressorConfig] = None,
path: Optional[Path] = None,
) -> None:
"""Save configuration to YAML file.
Args:
config_name: Name of config file without extension
config: Configuration to save. If None, saves currently loaded config for that name.
path: Optional custom path to save to. If None, saves to config_dir.
Raises:
ValueError: If no configuration loaded for the given name and config is None
"""
if config is None:
if config_name not in self._configs:
raise ValueError(
f"No configuration loaded for '{config_name}'. "
f"Cannot save without providing config parameter."
)
config = self._configs[config_name]
save_path = path if path else self.config_dir / f"{config_name}.yaml"
save_yaml(save_path, config)
self._configs[config_name] = config
# Global singleton instance
cfg_manager = ConfigManager()