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lunaconf is a Python library to support easy-to-understand configuration for evaluations

Project description

lunaconf

lunaconf is a Python library to support easy-to-understand configuration for evaluations

Installation

pip install lunaconf

Usage

It provides the following interfaces:

  • lunaconf.LunaConf: A base class that every configuration class should inherit from. It is a subclass of pydantic.BaseModel and thus Pydantic features can be used.

    import typing, lunaconf, pydantic
    
    class Config(lunaconf.LunaConf):
        require: int
        opt_int: int = 10
        opt_str: str = "default"
        opt_list: list[int] = pydantic.Field(default_factory=lambda: [1, 2, 3])
    
        @classmethod
        def __lunaconf_default__(cls) -> typing.Self:
            return cls(require=42)
    

    Here __lunaconf_default__ is a class method that should be overloaded if the class has required fields. It should return a default instance of the class to set default values for the fields.

  • lunaconf.lunaconf_cli: Construct a configuration from the CLI.

    # example.py
    import lunaconf
    
    config = lunaconf.lunaconf_cli(Config)
    

    Some CLI arguments and their corresponding generated configurations are as follows.

    $ python3 example.py
    # Config(require=42, opt_int=10, opt_str='default', opt_list=[1, 2, 3])
    
    $ python3 example.py -J config.json    # suppose config.json contains {"require": 100}
    # Config(require=100, opt_int=10, opt_str='default', opt_list=[1, 2, 3])
    
    $ python3 example.py opt_int=233
    # Config(require=42, opt_int=233, opt_str='default', opt_list=[1, 2, 3])
    
    $ python3 example.py opt_list.0=4
    # Config(require=42, opt_int=10, opt_str='default', opt_list=[4, 2, 3])
    

    The . in the CLI modifications can be used by nested fields and list indices:

    # config
    class Inner(lunaconf.LunaConf):
        a: int = 1
    class Outer(lunaconf.LunaConf):
        inner: typing.Optional[Inner] = None
        lst: list[int] = lunaconf.Field(default_factory=lambda: [1, 2, 3])
    
    $ python3 example.py
    # Outer(inner=None, lst=[1, 2, 3])
    $ python3 example.py inner.a=10 lst.1=20
    # Outer(inner=Inner(a=10), lst=[1, 20, 3])
    

    Available command-line options:

    • command positional arguments: specify the modifications to the configuration in the form of key1.key2=value1; key3.key4=value2 etc. The . can be used to access nested fields and list indices.
    • -j <json_str> / -J <json_file>: specify the JSON to overload the configuration.
    • -t <toml_str> / -T <toml_file>: specify the TOML to overload the configuration.
    • -C <file>: the extra configuration file. This file contains command line arguments (one group per line) that will be parsed interleaved with the other command line arguments. Lines starting with # are treated as comments and ignored.
    • -a: whether or not output all fields with -p / -P flags, and also affect the application of post_action_with_all or post_action_without_all callables passed to lunaconf_cli.
    • -p: print the final configuration in JSON and exit.
    • -P: print the final configuration in TOML and exit.

Examples

For more examples, please refer to the unit tests in the tests folder.

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