nestconfig 0.2.0

Type-safe configuration management with support for nested dataclasses

NestConfig

NestConfig is a flexible configuration management system designed to simplify the handling of configurations in Python applications. It leverages Python's type hints and dataclasses to offer type-safe configuration updates, including support for nested configurations and direct application of command-line options.

This class is similar to fvcore.common.config.CfgNode, but it offers the added benefit of AutoCompletion.

Features

• Type-safe configuration management using dataclasses.
• Support for nested configurations.
• Easy integration of command-line options into the configuration.
• Simple and intuitive usage.

Installation

To install NestConfig, simply use pip:

pip install nestconfig

It can also be built from source with pip install . from this repository.

How to use

Minimal Example

from dataclasses import dataclass
from nestconfig import NestConfig

@dataclass
class ModelConfig:
    ENC_NUM_HEADS: int = 8

@dataclass
class Config(NestConfig):
    MODEL: ModelConfig = ModelConfig()
    SOME_OTHER_CONFIG: int = 10

# Instantiate your configuration
config = Config()

# Update the configuration with new values.
# You can also use a yaml file: updates = yaml.safe_load(yaml_file)
updates = {'MODEL': {'ENC_NUM_HEADS': 12}, 'SOME_OTHER_CONFIG': 15}
config.merge_updates(updates)
print(config.MODEL.ENC_NUM_HEADS)  # Outputs: 12
print(config.SOME_OTHER_CONFIG)  # Outputs: 15

# Apply command-line options directly.
# You can use argparse here and set opts to args.opts
opts = ['MODEL.ENC_NUM_HEADS', '16', 'SOME_OTHER_CONFIG', '20']
config.merge_opts(opts)
print(config.MODEL.ENC_NUM_HEADS)  # Outputs: 16
print(config.SOME_OTHER_CONFIG)  # Outputs: 20

More examples

More examples can be found in test folder.

Blog post

A blog post can be found here.

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