clearconf 0.3.20

ClearConf is a library created to support easy and manageble python configuration. It consists in a CLI tool to manage the configuration directory, and in a python class (BaseConfig) which adds additional functionalities to a configuration class.

clearconf

ClearConf is a library created to support easy and manageble python configuration. It consists in a python API (based on the BaseConfig class) which adds additional functionalities to a configuration class, and in an optional CLI tool to simplify managing configurations.

Installation

To install ClearConf just run

pip install clearconf

API

Example 1

A configuration file for a machine learning project could be structure as follow.

from models import MLP
from datasets import ImageNet


class Config(BaseConfig):
    seed = 1234

    class Model:
        architecture = MLP

        class Params:
            num_layers = 16
            layers_dim = [96] * num_layers


    class Data:
        dataset = ImageNet

        class Params:
            root = './data/PCN'
            split = 'PCN.json'
            subset = 'train'

The training/test script can access the configuration simply by importing it:

from configs import Config

Model = Config.Model
Data = Config.Data

model = Model.architecture(**Model.Params.to_dict())
dataset = Data.dataset(**Data.Params.to_dict())

Example 2

It is also possible to simplify the configuration further using inheritance. For example the Model configuration seen before would look like this:

from models import MLP

class Config(BaseConfig):
    seed = 1234

    class Model(MLP):
        num_layers = 16
        layers_dim = [96] * num_layers

The corresponding script is:

from configs import Config

model = Config.Model()

[!NOTE] The MLP class will be able to access the attributes set in the configuration as plain object attributes (e.g. self.num_layer)

CLI

The first step to use clearconf would be to use the CLI tool in the root of your project to initialize it:

cconf init

This will generate a config directory where you will store your configurations and a .clearconf file used by ClearConf to keep track of configurations. After this you can start populating your config directory. You can find examples of configuration files in the Example section.

[!IMPORTANT] clearconf cli recursively recognize as configuration all python files ending with _conf

Finally you can import a generic configuration in your script as

from configs import Config

and use it as you please.

When the script is run, if a default configuration has been set via the CLI

cconf defaults add main.py test_conf.py

such configuration will be dynamically imported.

Otherwise, clearconf will list all the available configuration and ask you to pick one.

0: example3_conf
1: example1_conf
2: example2_conf
3: example4_conf
Choose a configuration file: