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typer_config

Typer Configuration Utilities.

dotenv_conf_callback module-attribute 

dotenv_conf_callback: ConfigParameterCallback = (
    conf_callback_factory(
        loader_transformer(
            dotenv_loader,
            loader_conditional=lambda param_value: param_value,
        )
    )
)

Dotenv typer config parameter callback.

Parameters:

Name Type Description Default
ctx Context

typer context (automatically passed)

 required
param CallbackParam

typer callback parameter (automatically passed)

 required
param_value TyperParameterValue

parameter value passed to typer (automatically passed)

 required

Raises:

Type Description
BadParameter

bad parameter value

Returns:

Name Type Description
TyperParameterValue ConfigParameterCallback

must return back the given parameter

json_conf_callback module-attribute 

json_conf_callback: ConfigParameterCallback = (
    conf_callback_factory(
        loader_transformer(
            json_loader,
            loader_conditional=lambda param_value: param_value,
        )
    )
)

JSON typer config parameter callback.

Parameters:

Name Type Description Default
ctx Context

typer context (automatically passed)

 required
param CallbackParam

typer callback parameter (automatically passed)

 required
param_value TyperParameterValue

parameter value passed to typer (automatically passed)

 required

Raises:

Type Description
BadParameter

bad parameter value

Returns:

Name Type Description
TyperParameterValue ConfigParameterCallback

must return back the given parameter

toml_conf_callback module-attribute 

toml_conf_callback: ConfigParameterCallback = (
    conf_callback_factory(
        loader_transformer(
            toml_loader,
            loader_conditional=lambda param_value: param_value,
        )
    )
)

TOML typer config parameter callback.

Parameters:

Name Type Description Default
ctx Context

typer context (automatically passed)

 required
param CallbackParam

typer callback parameter (automatically passed)

 required
param_value TyperParameterValue

parameter value passed to typer (automatically passed)

 required

Raises:

Type Description
BadParameter

bad parameter value

Returns:

Name Type Description
TyperParameterValue ConfigParameterCallback

must return back the given parameter

yaml_conf_callback module-attribute 

yaml_conf_callback: ConfigParameterCallback = (
    conf_callback_factory(
        loader_transformer(
            yaml_loader,
            loader_conditional=lambda param_value: param_value,
        )
    )
)

YAML typer config parameter callback.

Parameters:

Name Type Description Default
ctx Context

typer context (automatically passed)

 required
param CallbackParam

typer callback parameter (automatically passed)

 required
param_value TyperParameterValue

parameter value passed to typer (automatically passed)

 required

Raises:

Type Description
BadParameter

bad parameter value

Returns:

Name Type Description
TyperParameterValue ConfigParameterCallback

must return back the given parameter

conf_callback_factory 

conf_callback_factory(
    loader: ConfigLoader,
) -> ConfigParameterCallback

Typer configuration callback factory.

Parameters:

Name Type Description Default
loader ConfigLoader

Config loader function that takes the value passed to the typer CLI and returns a dictionary that is applied to the click context's default map.

 required

Returns:

Name Type Description
ConfigParameterCallback ConfigParameterCallback

Configuration parameter callback function.
Source code in typer_config/callbacks.py 
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def conf_callback_factory(loader: ConfigLoader) -> ConfigParameterCallback:
    """Typer configuration callback factory.

    Args:
        loader (ConfigLoader): Config loader function that takes the value
            passed to the typer CLI and returns a dictionary that is
            applied to the click context's default map.

    Returns:
        ConfigParameterCallback: Configuration parameter callback function.
    """

    def _callback(
        ctx: Context, param: CallbackParam, param_value: TyperParameterValue
    ) -> TyperParameterValue:
        """Generated typer config parameter callback.

        Args:
            ctx (typer.Context): typer context (automatically passed)
            param (typer.CallbackParam): typer callback parameter (automatically passed)
            param_value (TyperParameterValue): parameter value passed to typer
                (automatically passed)

        Raises:
            BadParameter: bad parameter value

        Returns:
            TyperParameterValue: must return back the given parameter
        """
        try:
            conf = loader(param_value)  # Load config file
            ctx.default_map = ctx.default_map or {}  # Initialize the default map
            ctx.default_map.update(conf)  # Merge the config Dict into default_map
        except Exception as ex:
            raise BadParameter(str(ex), ctx=ctx, param=param) from ex
        return param_value

    return _callback

use_config 

use_config(
    callback: ConfigParameterCallback,
    param_name: TyperParameterName = "config",
    param_help: str = "Configuration file.",
) -> TyperCommandDecorator

Decorator for using configuration on a typer command.

Usage 
import typer
from typer_config.decorators import use_config
from typer_config import yaml_conf_callback # whichever callback to use

app = typer.Typer()

@app.command()
@use_config(yaml_conf_callback)
def main(...):
    ...

Parameters:

Name Type Description Default
callback ConfigParameterCallback

config parameter callback to load

 required
param_name TyperParameterName

name of config parameter. Defaults to "config".

 'config'
param_help str

config parameter help string. Defaults to "Configuration file.".

 'Configuration file.'

Returns:

Name Type Description
TyperCommandDecorator TyperCommandDecorator

decorator to apply to command
Source code in typer_config/decorators.py 
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def use_config(
    callback: ConfigParameterCallback,
    param_name: TyperParameterName = "config",
    param_help: str = "Configuration file.",
) -> TyperCommandDecorator:
    """Decorator for using configuration on a typer command.

    Usage:
        ```py
        import typer
        from typer_config.decorators import use_config
        from typer_config import yaml_conf_callback # whichever callback to use

        app = typer.Typer()

        @app.command()
        @use_config(yaml_conf_callback)
        def main(...):
            ...
        ```

    Args:
        callback (ConfigParameterCallback): config parameter callback to load
        param_name (TyperParameterName, optional): name of config parameter.
            Defaults to "config".
        param_help (str, optional): config parameter help string.
            Defaults to "Configuration file.".

    Returns:
        TyperCommandDecorator: decorator to apply to command
    """

    def decorator(cmd: TyperCommand) -> TyperCommand:
        # NOTE: modifying a function's __signature__ is dangerous
        # in the sense that it only affects inspect.signature().
        # It does not affect the actual function implementation.
        # So, a caller can be confused how to pass parameters to
        # the function with modified signature.
        if sys.version_info < (3, 10):
            sig = signature(cmd)
        else:
            sig = signature(cmd, eval_str=True)

        config_param = Parameter(
            param_name,
            kind=Parameter.KEYWORD_ONLY,
            annotation=str,
            default=Option("", callback=callback, is_eager=True, help=param_help),
        )

        new_sig = sig.replace(parameters=[*sig.parameters.values(), config_param])

        @wraps(cmd)
        def wrapped(*args, **kwargs):  # noqa: ANN202,ANN002,ANN003
            # NOTE: need to delete the config parameter
            # to match the wrapped command's signature.
            if param_name in kwargs:
                del kwargs[param_name]

            return cmd(*args, **kwargs)

        wrapped.__signature__ = new_sig  # type: ignore

        return wrapped

    return decorator

use_ini_config 

use_ini_config(
    section: List[str],
    param_name: TyperParameterName = "config",
    param_help: str = "Configuration file.",
    default_value: Optional[TyperParameterValue] = None,
) -> TyperCommandDecorator

Decorator for using INI configuration on a typer command.

Usage 
import typer
from typer_config.decorators import use_ini_config

app = typer.Typer()

@app.command()
@use_ini_config(["section", "subsection"])
def main(...):
    ...

Parameters:

Name Type Description Default
section List[str]

List of nested sections to access in the INI file.

 required
param_name str

name of config parameter. Defaults to "config".

 'config'
param_help str

config parameter help string. Defaults to "Configuration file.".

 'Configuration file.'
default_value TyperParameterValue

default config parameter value. Defaults to None.

 None

Returns:

Name Type Description
TyperCommandDecorator TyperCommandDecorator

decorator to apply to command
Source code in typer_config/decorators.py 
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def use_ini_config(
    section: List[str],
    param_name: TyperParameterName = "config",
    param_help: str = "Configuration file.",
    default_value: Optional[TyperParameterValue] = None,
) -> TyperCommandDecorator:
    """Decorator for using INI configuration on a typer command.

    Usage:
        ```py
        import typer
        from typer_config.decorators import use_ini_config

        app = typer.Typer()

        @app.command()
        @use_ini_config(["section", "subsection"])
        def main(...):
            ...
        ```

    Args:
        section (List[str]): List of nested sections to access in the INI file.
        param_name (str, optional): name of config parameter. Defaults to "config".
        param_help (str, optional): config parameter help string.
            Defaults to "Configuration file.".
        default_value (TyperParameterValue, optional): default config parameter value.
            Defaults to None.

    Returns:
        TyperCommandDecorator: decorator to apply to command
    """

    callback = conf_callback_factory(
        loader_transformer(
            ini_loader,
            loader_conditional=lambda param_value: (
                file_exists_and_warn(param_value) if param_value else param_value
            ),
            param_transformer=(
                (lambda param_value: param_value if param_value else default_value)
                if default_value is not None
                else None
            ),
            config_transformer=lambda config: get_dict_section(config, section),
        )
    )

    return use_config(callback=callback, param_name=param_name, param_help=param_help)

use_json_config 

use_json_config(
    section: Optional[List[str]] = None,
    param_name: TyperParameterName = "config",
    param_help: str = "Configuration file.",
    default_value: Optional[TyperParameterValue] = None,
) -> TyperCommandDecorator

Decorator for using JSON configuration on a typer command.

Usage 
import typer
from typer_config.decorators import use_json_config

app = typer.Typer()

@app.command()
@use_json_config()
def main(...):
    ...

Parameters:

Name Type Description Default
section List[str]

List of nested sections to access in the config. Defaults to None.

 None
param_name TyperParameterName

name of config parameter. Defaults to "config".

 'config'
param_help str

config parameter help string. Defaults to "Configuration file.".

 'Configuration file.'
default_value TyperParameterValue

default config parameter value. Defaults to None.

 None

Returns:

Name Type Description
TyperCommandDecorator TyperCommandDecorator

decorator to apply to command
Source code in typer_config/decorators.py 
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def use_json_config(
    section: Optional[List[str]] = None,
    param_name: TyperParameterName = "config",
    param_help: str = "Configuration file.",
    default_value: Optional[TyperParameterValue] = None,
) -> TyperCommandDecorator:
    """Decorator for using JSON configuration on a typer command.

    Usage:
        ```py
        import typer
        from typer_config.decorators import use_json_config

        app = typer.Typer()

        @app.command()
        @use_json_config()
        def main(...):
            ...
        ```

    Args:
        section (List[str], optional): List of nested sections to access in the config.
            Defaults to None.
        param_name (TyperParameterName, optional): name of config parameter.
            Defaults to "config".
        param_help (str, optional): config parameter help string.
            Defaults to "Configuration file.".
        default_value (TyperParameterValue, optional): default config parameter value.
            Defaults to None.

    Returns:
        TyperCommandDecorator: decorator to apply to command
    """

    callback = conf_callback_factory(
        loader_transformer(
            json_loader,
            loader_conditional=lambda param_value: (
                file_exists_and_warn(param_value) if param_value else param_value
            ),
            param_transformer=(
                (lambda param_value: param_value if param_value else default_value)
                if default_value is not None
                else None
            ),
            config_transformer=lambda config: get_dict_section(config, section),
        )
    )

    return use_config(callback=callback, param_name=param_name, param_help=param_help)

use_toml_config 

use_toml_config(
    section: Optional[List[str]] = None,
    param_name: TyperParameterName = "config",
    param_help: str = "Configuration file.",
    default_value: Optional[TyperParameterValue] = None,
) -> TyperCommandDecorator

Decorator for using TOML configuration on a typer command.

Usage 
import typer
from typer_config.decorators import use_toml_config

app = typer.Typer()

@app.command()
@use_toml_config()
def main(...):
    ...

Parameters:

Name Type Description Default
section List[str]

List of nested sections to access in the config. Defaults to None.

 None
param_name str

name of config parameter. Defaults to "config".

 'config'
param_help str

config parameter help string. Defaults to "Configuration file.".

 'Configuration file.'
default_value TyperParameterValue

default config parameter value. Defaults to None.

 None

Returns:

Name Type Description
TyperCommandDecorator TyperCommandDecorator

decorator to apply to command
Source code in typer_config/decorators.py 
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def use_toml_config(
    section: Optional[List[str]] = None,
    param_name: TyperParameterName = "config",
    param_help: str = "Configuration file.",
    default_value: Optional[TyperParameterValue] = None,
) -> TyperCommandDecorator:
    """Decorator for using TOML configuration on a typer command.

    Usage:
        ```py
        import typer
        from typer_config.decorators import use_toml_config

        app = typer.Typer()

        @app.command()
        @use_toml_config()
        def main(...):
            ...
        ```

    Args:
        section (List[str], optional): List of nested sections to access in the config.
            Defaults to None.
        param_name (str, optional): name of config parameter. Defaults to "config".
        param_help (str, optional): config parameter help string.
            Defaults to "Configuration file.".
        default_value (TyperParameterValue, optional): default config parameter value.
            Defaults to None.

    Returns:
        TyperCommandDecorator: decorator to apply to command
    """

    callback = conf_callback_factory(
        loader_transformer(
            toml_loader,
            loader_conditional=lambda param_value: (
                file_exists_and_warn(param_value) if param_value else param_value
            ),
            param_transformer=(
                (lambda param_value: param_value if param_value else default_value)
                if default_value is not None
                else None
            ),
            config_transformer=lambda config: get_dict_section(config, section),
        )
    )

    return use_config(callback=callback, param_name=param_name, param_help=param_help)

use_yaml_config 

use_yaml_config(
    section: Optional[List[str]] = None,
    param_name: TyperParameterName = "config",
    param_help: str = "Configuration file.",
    default_value: Optional[TyperParameterValue] = None,
) -> TyperCommandDecorator

Decorator for using YAML configuration on a typer command.

Usage 
import typer
from typer_config.decorators import use_yaml_config

app = typer.Typer()

@app.command()
@use_yaml_config()
def main(...):
    ...

Parameters:

Name Type Description Default
section List[str]

List of nested sections to access in the config. Defaults to None.

 None
param_name str

name of config parameter. Defaults to "config".

 'config'
param_help str

config parameter help string. Defaults to "Configuration file.".

 'Configuration file.'
default_value TyperParameterValue

default config parameter value. Defaults to None.

 None

Returns:

Name Type Description
TyperCommandDecorator TyperCommandDecorator

decorator to apply to command
Source code in typer_config/decorators.py 
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def use_yaml_config(
    section: Optional[List[str]] = None,
    param_name: TyperParameterName = "config",
    param_help: str = "Configuration file.",
    default_value: Optional[TyperParameterValue] = None,
) -> TyperCommandDecorator:
    """Decorator for using YAML configuration on a typer command.

    Usage:
        ```py
        import typer
        from typer_config.decorators import use_yaml_config

        app = typer.Typer()

        @app.command()
        @use_yaml_config()
        def main(...):
            ...
        ```

    Args:
        section (List[str], optional): List of nested sections to access in the config.
            Defaults to None.
        param_name (str, optional): name of config parameter. Defaults to "config".
        param_help (str, optional): config parameter help string.
            Defaults to "Configuration file.".
        default_value (TyperParameterValue, optional): default config parameter value.
            Defaults to None.

    Returns:
        TyperCommandDecorator: decorator to apply to command
    """

    callback = conf_callback_factory(
        loader_transformer(
            yaml_loader,
            loader_conditional=lambda param_value: (
                file_exists_and_warn(param_value) if param_value else param_value
            ),
            param_transformer=(
                (lambda param_value: param_value if param_value else default_value)
                if default_value is not None
                else None
            ),
            config_transformer=lambda config: get_dict_section(config, section),
        )
    )

    return use_config(callback=callback, param_name=param_name, param_help=param_help)

dotenv_loader 

dotenv_loader(
    param_value: TyperParameterValue,
) -> ConfigDict

Dotenv file loader.

Parameters:

Name Type Description Default
param_value TyperParameterValue

path of Dotenv file

 required

Raises:

Type Description
ModuleNotFoundError

python-dotenv library is not installed

Returns:

Name Type Description
ConfigDict ConfigDict

dictionary loaded from file
Source code in typer_config/loaders.py 
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def dotenv_loader(param_value: TyperParameterValue) -> ConfigDict:
    """Dotenv file loader.

    Args:
        param_value (TyperParameterValue): path of Dotenv file

    Raises:
        ModuleNotFoundError: python-dotenv library is not installed

    Returns:
        ConfigDict: dictionary loaded from file
    """

    dotenv = try_import("dotenv")

    if dotenv is None:  # pragma: no cover
        message = "Please install the python-dotenv library."
        raise ModuleNotFoundError(message)

    with open(param_value, "r", encoding="utf-8") as _file:
        # NOTE: I'm using a stream here so that the loader
        # will raise an exception when the file doesn't exist.
        conf: ConfigDict = dotenv.dotenv_values(stream=_file)

    return conf

ini_loader 

ini_loader(param_value: TyperParameterValue) -> ConfigDict

INI file loader.

Note

INI files must have sections at the top level. You probably want to combine this with loader_transformer to extract the correct section. For example: 

ini_section_loader = loader_transformer(
    ini_loader,
    config_transformer=lambda config: config["section"],
)

Parameters:

Name Type Description Default
param_value TyperParameterValue

path of INI file

 required

Returns:

Name Type Description
ConfigDict ConfigDict

dictionary loaded from file
Source code in typer_config/loaders.py 
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def ini_loader(param_value: TyperParameterValue) -> ConfigDict:
    """INI file loader.

    Note:
        INI files must have sections at the top level.
        You probably want to combine this with `loader_transformer`
        to extract the correct section.
        For example:
        ```py
        ini_section_loader = loader_transformer(
            ini_loader,
            config_transformer=lambda config: config["section"],
        )
        ```

    Args:
        param_value (TyperParameterValue): path of INI file

    Returns:
        ConfigDict: dictionary loaded from file
    """

    ini_parser = ConfigParser()
    with open(param_value, "r", encoding="utf-8") as _file:
        ini_parser.read_file(_file)

    conf: ConfigDict = {
        sect: dict(ini_parser.items(sect)) for sect in ini_parser.sections()
    }

    return conf

json_loader 

json_loader(param_value: TyperParameterValue) -> ConfigDict

JSON file loader.

Parameters:

Name Type Description Default
param_value TyperParameterValue

path of JSON file

 required

Returns:

Name Type Description
ConfigDict ConfigDict

dictionary loaded from file
Source code in typer_config/loaders.py 
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def json_loader(param_value: TyperParameterValue) -> ConfigDict:
    """JSON file loader.

    Args:
        param_value (TyperParameterValue): path of JSON file

    Returns:
        ConfigDict: dictionary loaded from file
    """

    with open(param_value, "r", encoding="utf-8") as _file:
        conf: ConfigDict = json.load(_file)

    return conf

toml_loader 

toml_loader(param_value: TyperParameterValue) -> ConfigDict

TOML file loader.

Parameters:

Name Type Description Default
param_value TyperParameterValue

path of TOML file

 required

Raises:

Type Description
ModuleNotFoundError

toml library is not installed

Returns:

Name Type Description
ConfigDict ConfigDict

dictionary loaded from file
Source code in typer_config/loaders.py 
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def toml_loader(param_value: TyperParameterValue) -> ConfigDict:
    """TOML file loader.

    Args:
        param_value (TyperParameterValue): path of TOML file

    Raises:
        ModuleNotFoundError: toml library is not installed

    Returns:
        ConfigDict: dictionary loaded from file
    """

    # try `tomllib` first
    tomllib = try_import("tomllib")

    if tomllib is not None:
        with open(param_value, "rb") as _file:
            return tomllib.load(_file)

    # couldn't find `tommllib`, so try `toml`
    toml = try_import("toml")

    if toml is None:  # pragma: no cover
        message = "Please install the toml library."
        raise ModuleNotFoundError(message)

    with open(param_value, "r", encoding="utf-8") as _file:
        return toml.load(_file)

yaml_loader 

yaml_loader(param_value: TyperParameterValue) -> ConfigDict

YAML file loader.

Parameters:

Name Type Description Default
param_value TyperParameterValue

path of YAML file

 required

Raises:

Type Description
ModuleNotFoundError

pyyaml library is not installed

Returns:

Name Type Description
ConfigDict ConfigDict

dictionary loaded from file
Source code in typer_config/loaders.py 
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def yaml_loader(param_value: TyperParameterValue) -> ConfigDict:
    """YAML file loader.

    Args:
        param_value (TyperParameterValue): path of YAML file

    Raises:
        ModuleNotFoundError: pyyaml library is not installed

    Returns:
        ConfigDict: dictionary loaded from file
    """

    yaml = try_import("yaml")

    if yaml is None:  # pragma: no cover
        message = "Please install the pyyaml library."
        raise ModuleNotFoundError(message)

    with open(param_value, "r", encoding="utf-8") as _file:
        conf: ConfigDict = yaml.safe_load(_file)

    return conf

__optional_imports

Handle optional imports.

try_import cached 

try_import(module_name: str)

Try to import a module by name.

Note: caches the imported modules in a functools.lru_cache

Parameters:

Name Type Description Default
module_name str

name of module to import

 required

Returns:

Name Type Description
Module

imported module
Source code in typer_config/__optional_imports.py 
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@lru_cache()
def try_import(module_name: str):  # noqa: ANN202 (no type for modules)
    """Try to import a module by name.

    Note: caches the imported modules in a `functools.lru_cache`

    Args:
        module_name (str): name of module to import

    Returns:
        Module: imported module
    """
    if find_spec(module_name):
        return import_module(module_name)
    return None

__typing

Data and Function types.

TyperParameterName module-attribute 

TyperParameterName: TypeAlias = str

Typer CLI parameter name.

TyperParameterValue module-attribute 

TyperParameterValue: TypeAlias = Any

Typer CLI parameter value.

ConfigDict module-attribute 

ConfigDict: TypeAlias = Dict[TyperParameterName, Any]

Configuration dictionary to be applied to the click context default map.

FilePath module-attribute 

FilePath: TypeAlias = Union[Path, str]

File path

TyperParameterValueTransformer module-attribute 

TyperParameterValueTransformer: TypeAlias = Callable[
    [TyperParameterValue], TyperParameterValue
]

Typer parameter value transforming function.

ConfigDictTransformer module-attribute 

ConfigDictTransformer: TypeAlias = Callable[
    [ConfigDict], ConfigDict
]

ConfigDict transforming function.

ConfigLoader module-attribute 

ConfigLoader: TypeAlias = Callable[
    [TyperParameterValue], ConfigDict
]

Configuration loader function.

ConfigLoaderConditional module-attribute 

ConfigLoaderConditional: TypeAlias = Callable[
    [TyperParameterValue], bool
]

Configuration loader conditional function.

ConfigParameterCallback module-attribute 

ConfigParameterCallback: TypeAlias = Callable[
    [Context, CallbackParam, TyperParameterValue],
    TyperParameterValue,
]

Typer config parameter callback function.

ConfigDumper module-attribute 

ConfigDumper: TypeAlias = Callable[
    [ConfigDict, FilePath], None
]

Configuration dumper function.

TyperCommand module-attribute 

TyperCommand: TypeAlias = Callable[..., Any]

A function that will be decorated with typer.Typer().command().

TyperCommandDecorator module-attribute 

TyperCommandDecorator: TypeAlias = Callable[
    [TyperCommand], TyperCommand
]

A decorator applied to a typer command.

callbacks

Typer Configuration Parameter Callbacks.

yaml_conf_callback module-attribute 

yaml_conf_callback: ConfigParameterCallback = (
    conf_callback_factory(
        loader_transformer(
            yaml_loader,
            loader_conditional=lambda param_value: param_value,
        )
    )
)

YAML typer config parameter callback.

Parameters:

Name Type Description Default
ctx Context

typer context (automatically passed)

 required
param CallbackParam

typer callback parameter (automatically passed)

 required
param_value TyperParameterValue

parameter value passed to typer (automatically passed)

 required

Raises:

Type Description
BadParameter

bad parameter value

Returns:

Name Type Description
TyperParameterValue ConfigParameterCallback

must return back the given parameter

json_conf_callback module-attribute 

json_conf_callback: ConfigParameterCallback = (
    conf_callback_factory(
        loader_transformer(
            json_loader,
            loader_conditional=lambda param_value: param_value,
        )
    )
)

JSON typer config parameter callback.

Parameters:

Name Type Description Default
ctx Context

typer context (automatically passed)

 required
param CallbackParam

typer callback parameter (automatically passed)

 required
param_value TyperParameterValue

parameter value passed to typer (automatically passed)

 required

Raises:

Type Description
BadParameter

bad parameter value

Returns:

Name Type Description
TyperParameterValue ConfigParameterCallback

must return back the given parameter

toml_conf_callback module-attribute 

toml_conf_callback: ConfigParameterCallback = (
    conf_callback_factory(
        loader_transformer(
            toml_loader,
            loader_conditional=lambda param_value: param_value,
        )
    )
)

TOML typer config parameter callback.

Parameters:

Name Type Description Default
ctx Context

typer context (automatically passed)

 required
param CallbackParam

typer callback parameter (automatically passed)

 required
param_value TyperParameterValue

parameter value passed to typer (automatically passed)

 required

Raises:

Type Description
BadParameter

bad parameter value

Returns:

Name Type Description
TyperParameterValue ConfigParameterCallback

must return back the given parameter

dotenv_conf_callback module-attribute 

dotenv_conf_callback: ConfigParameterCallback = (
    conf_callback_factory(
        loader_transformer(
            dotenv_loader,
            loader_conditional=lambda param_value: param_value,
        )
    )
)

Dotenv typer config parameter callback.

Parameters:

Name Type Description Default
ctx Context

typer context (automatically passed)

 required
param CallbackParam

typer callback parameter (automatically passed)

 required
param_value TyperParameterValue

parameter value passed to typer (automatically passed)

 required

Raises:

Type Description
BadParameter

bad parameter value

Returns:

Name Type Description
TyperParameterValue ConfigParameterCallback

must return back the given parameter

conf_callback_factory 

conf_callback_factory(
    loader: ConfigLoader,
) -> ConfigParameterCallback

Typer configuration callback factory.

Parameters:

Name Type Description Default
loader ConfigLoader

Config loader function that takes the value passed to the typer CLI and returns a dictionary that is applied to the click context's default map.

 required

Returns:

Name Type Description
ConfigParameterCallback ConfigParameterCallback

Configuration parameter callback function.
Source code in typer_config/callbacks.py 
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def conf_callback_factory(loader: ConfigLoader) -> ConfigParameterCallback:
    """Typer configuration callback factory.

    Args:
        loader (ConfigLoader): Config loader function that takes the value
            passed to the typer CLI and returns a dictionary that is
            applied to the click context's default map.

    Returns:
        ConfigParameterCallback: Configuration parameter callback function.
    """

    def _callback(
        ctx: Context, param: CallbackParam, param_value: TyperParameterValue
    ) -> TyperParameterValue:
        """Generated typer config parameter callback.

        Args:
            ctx (typer.Context): typer context (automatically passed)
            param (typer.CallbackParam): typer callback parameter (automatically passed)
            param_value (TyperParameterValue): parameter value passed to typer
                (automatically passed)

        Raises:
            BadParameter: bad parameter value

        Returns:
            TyperParameterValue: must return back the given parameter
        """
        try:
            conf = loader(param_value)  # Load config file
            ctx.default_map = ctx.default_map or {}  # Initialize the default map
            ctx.default_map.update(conf)  # Merge the config Dict into default_map
        except Exception as ex:
            raise BadParameter(str(ex), ctx=ctx, param=param) from ex
        return param_value

    return _callback

argument_list_callback 

argument_list_callback(
    ctx: Context,
    param: CallbackParam,
    param_value: Optional[List[str]],
) -> List[str]

Argument list callback.

Note

This is a shim to fix list arguments in a config. See maxb2/typer-config#124.

Parameters:

Name Type Description Default
ctx Context

typer context

 required
param CallbackParam

typer parameter

 required
param_value Optional[List[str]]

typer parameter value

 required

Returns:

Type Description
List[str]

List[str]: argument list
Source code in typer_config/callbacks.py 
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def argument_list_callback(
    ctx: Context, param: CallbackParam, param_value: Optional[List[str]]
) -> List[str]:
    """Argument list callback.

    Note:
        This is a shim to fix list arguments in a config.
        See [maxb2/typer-config#124](https://github.com/maxb2/typer-config/issues/124).

    Args:
        ctx (typer.Context): typer context
        param (typer.CallbackParam): typer parameter
        param_value (Optional[List[str]]): typer parameter value

    Returns:
        List[str]: argument list
    """
    ctx.default_map = ctx.default_map or {}
    default = ctx.default_map.get(param.name, []) if param.name else []
    return param_value if param_value else default

decorators

Typer Config decorators.

use_config 

use_config(
    callback: ConfigParameterCallback,
    param_name: TyperParameterName = "config",
    param_help: str = "Configuration file.",
) -> TyperCommandDecorator

Decorator for using configuration on a typer command.

Usage 
import typer
from typer_config.decorators import use_config
from typer_config import yaml_conf_callback # whichever callback to use

app = typer.Typer()

@app.command()
@use_config(yaml_conf_callback)
def main(...):
    ...

Parameters:

Name Type Description Default
callback ConfigParameterCallback

config parameter callback to load

 required
param_name TyperParameterName

name of config parameter. Defaults to "config".

 'config'
param_help str

config parameter help string. Defaults to "Configuration file.".

 'Configuration file.'

Returns:

Name Type Description
TyperCommandDecorator TyperCommandDecorator

decorator to apply to command
Source code in typer_config/decorators.py 
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def use_config(
    callback: ConfigParameterCallback,
    param_name: TyperParameterName = "config",
    param_help: str = "Configuration file.",
) -> TyperCommandDecorator:
    """Decorator for using configuration on a typer command.

    Usage:
        ```py
        import typer
        from typer_config.decorators import use_config
        from typer_config import yaml_conf_callback # whichever callback to use

        app = typer.Typer()

        @app.command()
        @use_config(yaml_conf_callback)
        def main(...):
            ...
        ```

    Args:
        callback (ConfigParameterCallback): config parameter callback to load
        param_name (TyperParameterName, optional): name of config parameter.
            Defaults to "config".
        param_help (str, optional): config parameter help string.
            Defaults to "Configuration file.".

    Returns:
        TyperCommandDecorator: decorator to apply to command
    """

    def decorator(cmd: TyperCommand) -> TyperCommand:
        # NOTE: modifying a function's __signature__ is dangerous
        # in the sense that it only affects inspect.signature().
        # It does not affect the actual function implementation.
        # So, a caller can be confused how to pass parameters to
        # the function with modified signature.
        if sys.version_info < (3, 10):
            sig = signature(cmd)
        else:
            sig = signature(cmd, eval_str=True)

        config_param = Parameter(
            param_name,
            kind=Parameter.KEYWORD_ONLY,
            annotation=str,
            default=Option("", callback=callback, is_eager=True, help=param_help),
        )

        new_sig = sig.replace(parameters=[*sig.parameters.values(), config_param])

        @wraps(cmd)
        def wrapped(*args, **kwargs):  # noqa: ANN202,ANN002,ANN003
            # NOTE: need to delete the config parameter
            # to match the wrapped command's signature.
            if param_name in kwargs:
                del kwargs[param_name]

            return cmd(*args, **kwargs)

        wrapped.__signature__ = new_sig  # type: ignore

        return wrapped

    return decorator

use_json_config 

use_json_config(
    section: Optional[List[str]] = None,
    param_name: TyperParameterName = "config",
    param_help: str = "Configuration file.",
    default_value: Optional[TyperParameterValue] = None,
) -> TyperCommandDecorator

Decorator for using JSON configuration on a typer command.

Usage 
import typer
from typer_config.decorators import use_json_config

app = typer.Typer()

@app.command()
@use_json_config()
def main(...):
    ...

Parameters:

Name Type Description Default
section List[str]

List of nested sections to access in the config. Defaults to None.

 None
param_name TyperParameterName

name of config parameter. Defaults to "config".

 'config'
param_help str

config parameter help string. Defaults to "Configuration file.".

 'Configuration file.'
default_value TyperParameterValue

default config parameter value. Defaults to None.

 None

Returns:

Name Type Description
TyperCommandDecorator TyperCommandDecorator

decorator to apply to command
Source code in typer_config/decorators.py 
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def use_json_config(
    section: Optional[List[str]] = None,
    param_name: TyperParameterName = "config",
    param_help: str = "Configuration file.",
    default_value: Optional[TyperParameterValue] = None,
) -> TyperCommandDecorator:
    """Decorator for using JSON configuration on a typer command.

    Usage:
        ```py
        import typer
        from typer_config.decorators import use_json_config

        app = typer.Typer()

        @app.command()
        @use_json_config()
        def main(...):
            ...
        ```

    Args:
        section (List[str], optional): List of nested sections to access in the config.
            Defaults to None.
        param_name (TyperParameterName, optional): name of config parameter.
            Defaults to "config".
        param_help (str, optional): config parameter help string.
            Defaults to "Configuration file.".
        default_value (TyperParameterValue, optional): default config parameter value.
            Defaults to None.

    Returns:
        TyperCommandDecorator: decorator to apply to command
    """

    callback = conf_callback_factory(
        loader_transformer(
            json_loader,
            loader_conditional=lambda param_value: (
                file_exists_and_warn(param_value) if param_value else param_value
            ),
            param_transformer=(
                (lambda param_value: param_value if param_value else default_value)
                if default_value is not None
                else None
            ),
            config_transformer=lambda config: get_dict_section(config, section),
        )
    )

    return use_config(callback=callback, param_name=param_name, param_help=param_help)

use_yaml_config 

use_yaml_config(
    section: Optional[List[str]] = None,
    param_name: TyperParameterName = "config",
    param_help: str = "Configuration file.",
    default_value: Optional[TyperParameterValue] = None,
) -> TyperCommandDecorator

Decorator for using YAML configuration on a typer command.

Usage 
import typer
from typer_config.decorators import use_yaml_config

app = typer.Typer()

@app.command()
@use_yaml_config()
def main(...):
    ...

Parameters:

Name Type Description Default
section List[str]

List of nested sections to access in the config. Defaults to None.

 None
param_name str

name of config parameter. Defaults to "config".

 'config'
param_help str

config parameter help string. Defaults to "Configuration file.".

 'Configuration file.'
default_value TyperParameterValue

default config parameter value. Defaults to None.

 None

Returns:

Name Type Description
TyperCommandDecorator TyperCommandDecorator

decorator to apply to command
Source code in typer_config/decorators.py 
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def use_yaml_config(
    section: Optional[List[str]] = None,
    param_name: TyperParameterName = "config",
    param_help: str = "Configuration file.",
    default_value: Optional[TyperParameterValue] = None,
) -> TyperCommandDecorator:
    """Decorator for using YAML configuration on a typer command.

    Usage:
        ```py
        import typer
        from typer_config.decorators import use_yaml_config

        app = typer.Typer()

        @app.command()
        @use_yaml_config()
        def main(...):
            ...
        ```

    Args:
        section (List[str], optional): List of nested sections to access in the config.
            Defaults to None.
        param_name (str, optional): name of config parameter. Defaults to "config".
        param_help (str, optional): config parameter help string.
            Defaults to "Configuration file.".
        default_value (TyperParameterValue, optional): default config parameter value.
            Defaults to None.

    Returns:
        TyperCommandDecorator: decorator to apply to command
    """

    callback = conf_callback_factory(
        loader_transformer(
            yaml_loader,
            loader_conditional=lambda param_value: (
                file_exists_and_warn(param_value) if param_value else param_value
            ),
            param_transformer=(
                (lambda param_value: param_value if param_value else default_value)
                if default_value is not None
                else None
            ),
            config_transformer=lambda config: get_dict_section(config, section),
        )
    )

    return use_config(callback=callback, param_name=param_name, param_help=param_help)

use_toml_config 

use_toml_config(
    section: Optional[List[str]] = None,
    param_name: TyperParameterName = "config",
    param_help: str = "Configuration file.",
    default_value: Optional[TyperParameterValue] = None,
) -> TyperCommandDecorator

Decorator for using TOML configuration on a typer command.

Usage 
import typer
from typer_config.decorators import use_toml_config

app = typer.Typer()

@app.command()
@use_toml_config()
def main(...):
    ...

Parameters:

Name Type Description Default
section List[str]

List of nested sections to access in the config. Defaults to None.

 None
param_name str

name of config parameter. Defaults to "config".

 'config'
param_help str

config parameter help string. Defaults to "Configuration file.".

 'Configuration file.'
default_value TyperParameterValue

default config parameter value. Defaults to None.

 None

Returns:

Name Type Description
TyperCommandDecorator TyperCommandDecorator

decorator to apply to command
Source code in typer_config/decorators.py 
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def use_toml_config(
    section: Optional[List[str]] = None,
    param_name: TyperParameterName = "config",
    param_help: str = "Configuration file.",
    default_value: Optional[TyperParameterValue] = None,
) -> TyperCommandDecorator:
    """Decorator for using TOML configuration on a typer command.

    Usage:
        ```py
        import typer
        from typer_config.decorators import use_toml_config

        app = typer.Typer()

        @app.command()
        @use_toml_config()
        def main(...):
            ...
        ```

    Args:
        section (List[str], optional): List of nested sections to access in the config.
            Defaults to None.
        param_name (str, optional): name of config parameter. Defaults to "config".
        param_help (str, optional): config parameter help string.
            Defaults to "Configuration file.".
        default_value (TyperParameterValue, optional): default config parameter value.
            Defaults to None.

    Returns:
        TyperCommandDecorator: decorator to apply to command
    """

    callback = conf_callback_factory(
        loader_transformer(
            toml_loader,
            loader_conditional=lambda param_value: (
                file_exists_and_warn(param_value) if param_value else param_value
            ),
            param_transformer=(
                (lambda param_value: param_value if param_value else default_value)
                if default_value is not None
                else None
            ),
            config_transformer=lambda config: get_dict_section(config, section),
        )
    )

    return use_config(callback=callback, param_name=param_name, param_help=param_help)

use_dotenv_config 

use_dotenv_config(
    section: Optional[List[str]] = None,
    param_name: TyperParameterName = "config",
    param_help: str = "Configuration file.",
    default_value: Optional[TyperParameterValue] = None,
) -> TyperCommandDecorator

Decorator for using dotenv configuration on a typer command.

Usage 
import typer
from typer_config.decorators import use_dotenv_config

app = typer.Typer()

@app.command()
@use_dotenv_config()
def main(...):
    ...

Parameters:

Name Type Description Default
section List[str]

List of nested sections to access in the config. Defaults to None.

 None
param_name str

name of config parameter. Defaults to "config".

 'config'
param_help str

config parameter help string. Defaults to "Configuration file.".

 'Configuration file.'
default_value TyperParameterValue

default config parameter value. Defaults to None.

 None

Returns:

Name Type Description
TyperCommandDecorator TyperCommandDecorator

decorator to apply to command
Source code in typer_config/decorators.py 
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def use_dotenv_config(
    section: Optional[List[str]] = None,
    param_name: TyperParameterName = "config",
    param_help: str = "Configuration file.",
    default_value: Optional[TyperParameterValue] = None,
) -> TyperCommandDecorator:
    """Decorator for using dotenv configuration on a typer command.

    Usage:
        ```py
        import typer
        from typer_config.decorators import use_dotenv_config

        app = typer.Typer()

        @app.command()
        @use_dotenv_config()
        def main(...):
            ...
        ```

    Args:
        section (List[str], optional): List of nested sections to access in the config.
            Defaults to None.
        param_name (str, optional): name of config parameter. Defaults to "config".
        param_help (str, optional): config parameter help string.
            Defaults to "Configuration file.".
        default_value (TyperParameterValue, optional): default config parameter value.
            Defaults to None.

    Returns:
        TyperCommandDecorator: decorator to apply to command
    """

    callback = conf_callback_factory(
        loader_transformer(
            dotenv_loader,
            loader_conditional=lambda param_value: (
                file_exists_and_warn(param_value) if param_value else param_value
            ),
            param_transformer=(
                (lambda param_value: param_value if param_value else default_value)
                if default_value is not None
                else None
            ),
            config_transformer=lambda config: get_dict_section(config, section),
        )
    )

    return use_config(callback=callback, param_name=param_name, param_help=param_help)

use_ini_config 

use_ini_config(
    section: List[str],
    param_name: TyperParameterName = "config",
    param_help: str = "Configuration file.",
    default_value: Optional[TyperParameterValue] = None,
) -> TyperCommandDecorator

Decorator for using INI configuration on a typer command.

Usage 
import typer
from typer_config.decorators import use_ini_config

app = typer.Typer()

@app.command()
@use_ini_config(["section", "subsection"])
def main(...):
    ...

Parameters:

Name Type Description Default
section List[str]

List of nested sections to access in the INI file.

 required
param_name str

name of config parameter. Defaults to "config".

 'config'
param_help str

config parameter help string. Defaults to "Configuration file.".

 'Configuration file.'
default_value TyperParameterValue

default config parameter value. Defaults to None.

 None

Returns:

Name Type Description
TyperCommandDecorator TyperCommandDecorator

decorator to apply to command
Source code in typer_config/decorators.py 
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def use_ini_config(
    section: List[str],
    param_name: TyperParameterName = "config",
    param_help: str = "Configuration file.",
    default_value: Optional[TyperParameterValue] = None,
) -> TyperCommandDecorator:
    """Decorator for using INI configuration on a typer command.

    Usage:
        ```py
        import typer
        from typer_config.decorators import use_ini_config

        app = typer.Typer()

        @app.command()
        @use_ini_config(["section", "subsection"])
        def main(...):
            ...
        ```

    Args:
        section (List[str]): List of nested sections to access in the INI file.
        param_name (str, optional): name of config parameter. Defaults to "config".
        param_help (str, optional): config parameter help string.
            Defaults to "Configuration file.".
        default_value (TyperParameterValue, optional): default config parameter value.
            Defaults to None.

    Returns:
        TyperCommandDecorator: decorator to apply to command
    """

    callback = conf_callback_factory(
        loader_transformer(
            ini_loader,
            loader_conditional=lambda param_value: (
                file_exists_and_warn(param_value) if param_value else param_value
            ),
            param_transformer=(
                (lambda param_value: param_value if param_value else default_value)
                if default_value is not None
                else None
            ),
            config_transformer=lambda config: get_dict_section(config, section),
        )
    )

    return use_config(callback=callback, param_name=param_name, param_help=param_help)

dump_config 

dump_config(
    dumper: ConfigDumper, location: FilePath
) -> TyperCommandDecorator

Decorator for dumping a config file with parameters from an invocation of a typer command.

Usage 
import typer
from typer.decorators import dump_config

app = typer.Typer()

@app.command()
# NOTE: @dump_config MUST BE AFTER @app.command()
@dump_config(yaml_dumper, "config_dump_dir/params.yaml")
def cmd(...):
    ...

Parameters:

Name Type Description Default
dumper ConfigDumper

config file dumper

 required
location FilePath

config file to write

 required

Returns:

Name Type Description
TyperCommandDecorator TyperCommandDecorator

command decorator
Source code in typer_config/decorators.py 
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def dump_config(dumper: ConfigDumper, location: FilePath) -> TyperCommandDecorator:
    """Decorator for dumping a config file with parameters
    from an invocation of a typer command.

    Usage:
        ```py
        import typer
        from typer.decorators import dump_config

        app = typer.Typer()

        @app.command()
        # NOTE: @dump_config MUST BE AFTER @app.command()
        @dump_config(yaml_dumper, "config_dump_dir/params.yaml")
        def cmd(...):
            ...
        ```

    Args:
        dumper (ConfigDumper): config file dumper
        location (FilePath): config file to write

    Returns:
        TyperCommandDecorator: command decorator
    """

    def decorator(cmd: TyperCommand) -> TyperCommand:
        @wraps(cmd)
        def inner(*args, **kwargs):  # noqa: ANN202,ANN002,ANN003
            # get a dictionary of the passed args
            bound_args = signature(cmd).bind(*args, **kwargs).arguments

            # convert enums to their values
            # NOTE: bound_args shouldn't be nested in the typer
            # framework, so top level iteration should be fine.
            for key, val in bound_args.items():
                if isinstance(val, Enum):
                    bound_args[key] = val.value

            # dump passed args
            dumper(bound_args, location)

            # run original command
            return cmd(*args, **kwargs)

        return inner

    return decorator

dump_json_config 

dump_json_config(
    location: FilePath,
) -> TyperCommandDecorator

Decorator for dumping a JSON file with parameters from an invocation of a typer command.

Usage 
import typer
from typer.decorators import dump_json_config

app = typer.Typer()

@app.command()
# NOTE: @dump_json_config MUST BE AFTER @app.command()
@dump_json_config("config_dump_dir/params.json")
def cmd(...):
    ...

Parameters:

Name Type Description Default
location FilePath

config file to write

 required

Returns:

Name Type Description
TyperCommandDecorator TyperCommandDecorator

command decorator
Source code in typer_config/decorators.py 
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def dump_json_config(location: FilePath) -> TyperCommandDecorator:
    """Decorator for dumping a JSON file with parameters
    from an invocation of a typer command.

    Usage:
        ```py
        import typer
        from typer.decorators import dump_json_config

        app = typer.Typer()

        @app.command()
        # NOTE: @dump_json_config MUST BE AFTER @app.command()
        @dump_json_config("config_dump_dir/params.json")
        def cmd(...):
            ...
        ```

    Args:
        location (FilePath): config file to write

    Returns:
        TyperCommandDecorator: command decorator
    """
    return dump_config(dumper=json_dumper, location=location)

dump_yaml_config 

dump_yaml_config(
    location: FilePath,
) -> TyperCommandDecorator

Decorator for dumping a YAML file with parameters from an invocation of a typer command.

Usage 
import typer
from typer.decorators import dump_yaml_config

app = typer.Typer()

@app.command()
# NOTE: @dump_yaml_config MUST BE AFTER @app.command()
@dump_yaml_config("config_dump_dir/params.yml")
def cmd(...):
    ...

Parameters:

Name Type Description Default
location FilePath

config file to write

 required

Returns:

Name Type Description
TyperCommandDecorator TyperCommandDecorator

command decorator
Source code in typer_config/decorators.py 
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def dump_yaml_config(location: FilePath) -> TyperCommandDecorator:
    """Decorator for dumping a YAML file with parameters
    from an invocation of a typer command.

    Usage:
        ```py
        import typer
        from typer.decorators import dump_yaml_config

        app = typer.Typer()

        @app.command()
        # NOTE: @dump_yaml_config MUST BE AFTER @app.command()
        @dump_yaml_config("config_dump_dir/params.yml")
        def cmd(...):
            ...
        ```

    Args:
        location (FilePath): config file to write

    Returns:
        TyperCommandDecorator: command decorator
    """
    return dump_config(dumper=yaml_dumper, location=location)

dump_toml_config 

dump_toml_config(
    location: FilePath,
) -> TyperCommandDecorator

Decorator for dumping a TOML file with parameters from an invocation of a typer command.

Usage 
import typer
from typer.decorators import dump_toml_config

app = typer.Typer()

@app.command()
# NOTE: @dump_toml_config MUST BE AFTER @app.command()
@dump_toml_config("config_dump_dir/params.toml")
def cmd(...):
    ...

Parameters:

Name Type Description Default
location FilePath

config file to write

 required

Returns:

Name Type Description
TyperCommandDecorator TyperCommandDecorator

command decorator
Source code in typer_config/decorators.py 
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def dump_toml_config(location: FilePath) -> TyperCommandDecorator:
    """Decorator for dumping a TOML file with parameters
    from an invocation of a typer command.

    Usage:
        ```py
        import typer
        from typer.decorators import dump_toml_config

        app = typer.Typer()

        @app.command()
        # NOTE: @dump_toml_config MUST BE AFTER @app.command()
        @dump_toml_config("config_dump_dir/params.toml")
        def cmd(...):
            ...
        ```

    Args:
        location (FilePath): config file to write

    Returns:
        TyperCommandDecorator: command decorator
    """
    return dump_config(dumper=toml_dumper, location=location)

dumpers

Config Dictionary Dumpers.

json_dumper 

json_dumper(config: ConfigDict, location: FilePath) -> None

Dump config to JSON file.

Parameters:

Name Type Description Default
config ConfigDict

configuration

 required
location FilePath

file to write

 required
Source code in typer_config/dumpers.py 
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def json_dumper(config: ConfigDict, location: FilePath) -> None:
    """Dump config to JSON file.

    Args:
        config (ConfigDict): configuration
        location (FilePath): file to write
    """
    with open(location, "w", encoding="utf-8") as _file:
        json.dump(config, _file)

yaml_dumper 

yaml_dumper(config: ConfigDict, location: FilePath) -> None

Dump config to YAML file.

Parameters:

Name Type Description Default
config ConfigDict

configuration

 required
location FilePath

file to write

 required

Raises:

Type Description
ModuleNotFoundError

pyyaml is required
Source code in typer_config/dumpers.py 
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def yaml_dumper(config: ConfigDict, location: FilePath) -> None:
    """Dump config to YAML file.

    Args:
        config (ConfigDict): configuration
        location (FilePath): file to write

    Raises:
        ModuleNotFoundError: pyyaml is required
    """

    yaml = try_import("yaml")

    if yaml is None:  # pragma: no cover
        message = "Please install the pyyaml library."
        raise ModuleNotFoundError(message)

    with open(location, "w", encoding="utf-8") as _file:
        # NOTE: we must convert config from OrderedDict to dict because
        # pyyaml can't load OrderedDict for python <= 3.8
        yaml.dump(dict(config), _file)

toml_dumper 

toml_dumper(config: ConfigDict, location: FilePath) -> None

Dump config to TOML file.

Parameters:

Name Type Description Default
config ConfigDict

configuration

 required
location FilePath

file to write

 required

Raises:

Type Description
ModuleNotFoundError

toml library is required for writing files
Source code in typer_config/dumpers.py 
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def toml_dumper(config: ConfigDict, location: FilePath) -> None:
    """Dump config to TOML file.

    Args:
        config (ConfigDict): configuration
        location (FilePath): file to write

    Raises:
        ModuleNotFoundError: toml library is required for writing files
    """

    toml = try_import("toml")

    if toml is None:  # pragma: no cover
        message = "Please install the toml library to write TOML files."
        raise ModuleNotFoundError(message)

    with open(location, "w", encoding="utf-8") as _file:
        toml.dump(config, _file)  # type: ignore

loaders

Configuration File Loaders.

These loaders must implement the typer_config.__typing.ConfigLoader interface.

loader_transformer 

loader_transformer(
    loader: ConfigLoader,
    loader_conditional: Optional[
        ConfigLoaderConditional
    ] = None,
    param_transformer: Optional[
        TyperParameterValueTransformer
    ] = None,
    config_transformer: Optional[
        ConfigDictTransformer
    ] = None,
) -> ConfigLoader

Configuration loader transformer.

This allows to transform the input and output of a configuration loader.

Examples:

Set a default file to open when none is given: 

default_file_loader = loader_transformer(
    yaml_loader,
    param_transformer=lambda param: param if param else "config.yml",
)

Use a subsection of a file: 

subsection_loader = loader_transformer(
    yaml_loader,
    config_transformer = lambda config: config["subsection"],
)

Use both transformers to use the [tool.my_tool] section from pyproject.toml by default: 

pyproject_loader = loader_transformer(
    toml_loader,
    param_transformer = lambda param: param if param else "pyproject.toml"
    config_transformer = lambda config: config["tool"]["my_tool"],
)

Parameters:

Name Type Description Default
loader ConfigLoader

Loader to transform.

 required
loader_conditional Optional[ConfigLoaderConditional]

Function to determine whether to execute loader. Defaults to None (no-op).

 None
param_transformer Optional[TyperParameterValueTransformer]

Typer parameter transformer. Defaults to None (no-op).

 None
config_transformer Optional[ConfigDictTransformer]

Config dictionary transformer. Defaults to None (no-op).

 None

Returns:

Name Type Description
ConfigLoader ConfigLoader

Transformed config loader.
Source code in typer_config/loaders.py 
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def loader_transformer(
    loader: ConfigLoader,
    loader_conditional: Optional[ConfigLoaderConditional] = None,
    param_transformer: Optional[TyperParameterValueTransformer] = None,
    config_transformer: Optional[ConfigDictTransformer] = None,
) -> ConfigLoader:
    """Configuration loader transformer.

    This allows to transform the input and output of a configuration loader.

    Examples:
        Set a default file to open when none is given:
        ```py
        default_file_loader = loader_transformer(
            yaml_loader,
            param_transformer=lambda param: param if param else "config.yml",
        )
        ```

        Use a subsection of a file:
        ```py
        subsection_loader = loader_transformer(
            yaml_loader,
            config_transformer = lambda config: config["subsection"],
        )
        ```

        Use both transformers to use the `[tool.my_tool]` section from `pyproject.toml`
        by default:
        ```py
        pyproject_loader = loader_transformer(
            toml_loader,
            param_transformer = lambda param: param if param else "pyproject.toml"
            config_transformer = lambda config: config["tool"]["my_tool"],
        )
        ```

    Args:
        loader (ConfigLoader): Loader to transform.
        loader_conditional (Optional[ConfigLoaderConditional], optional): Function
            to determine whether to execute loader. Defaults to None (no-op).
        param_transformer (Optional[TyperParameterValueTransformer], optional): Typer
            parameter transformer. Defaults to None (no-op).
        config_transformer (Optional[ConfigDictTransformer], optional): Config
            dictionary transformer. Defaults to None (no-op).

    Returns:
        ConfigLoader: Transformed config loader.
    """

    def _loader(param_value: TyperParameterValue) -> ConfigDict:
        # Transform input
        if param_transformer is not None:
            param_value = param_transformer(param_value)

        # Decide whether to execute loader
        # NOTE: bad things can happen when `param_value=''`
        # such as `--help` not working
        conf: ConfigDict = {}
        if loader_conditional is None or loader_conditional(param_value):
            conf = loader(param_value)

        # Transform output
        if config_transformer is not None:
            conf = config_transformer(conf)

        return conf

    return _loader

yaml_loader 

yaml_loader(param_value: TyperParameterValue) -> ConfigDict

YAML file loader.

Parameters:

Name Type Description Default
param_value TyperParameterValue

path of YAML file

 required

Raises:

Type Description
ModuleNotFoundError

pyyaml library is not installed

Returns:

Name Type Description
ConfigDict ConfigDict

dictionary loaded from file
Source code in typer_config/loaders.py 
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def yaml_loader(param_value: TyperParameterValue) -> ConfigDict:
    """YAML file loader.

    Args:
        param_value (TyperParameterValue): path of YAML file

    Raises:
        ModuleNotFoundError: pyyaml library is not installed

    Returns:
        ConfigDict: dictionary loaded from file
    """

    yaml = try_import("yaml")

    if yaml is None:  # pragma: no cover
        message = "Please install the pyyaml library."
        raise ModuleNotFoundError(message)

    with open(param_value, "r", encoding="utf-8") as _file:
        conf: ConfigDict = yaml.safe_load(_file)

    return conf

json_loader 

json_loader(param_value: TyperParameterValue) -> ConfigDict

JSON file loader.

Parameters:

Name Type Description Default
param_value TyperParameterValue

path of JSON file

 required

Returns:

Name Type Description
ConfigDict ConfigDict

dictionary loaded from file
Source code in typer_config/loaders.py 
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def json_loader(param_value: TyperParameterValue) -> ConfigDict:
    """JSON file loader.

    Args:
        param_value (TyperParameterValue): path of JSON file

    Returns:
        ConfigDict: dictionary loaded from file
    """

    with open(param_value, "r", encoding="utf-8") as _file:
        conf: ConfigDict = json.load(_file)

    return conf

toml_loader 

toml_loader(param_value: TyperParameterValue) -> ConfigDict

TOML file loader.

Parameters:

Name Type Description Default
param_value TyperParameterValue

path of TOML file

 required

Raises:

Type Description
ModuleNotFoundError

toml library is not installed

Returns:

Name Type Description
ConfigDict ConfigDict

dictionary loaded from file
Source code in typer_config/loaders.py 
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def toml_loader(param_value: TyperParameterValue) -> ConfigDict:
    """TOML file loader.

    Args:
        param_value (TyperParameterValue): path of TOML file

    Raises:
        ModuleNotFoundError: toml library is not installed

    Returns:
        ConfigDict: dictionary loaded from file
    """

    # try `tomllib` first
    tomllib = try_import("tomllib")

    if tomllib is not None:
        with open(param_value, "rb") as _file:
            return tomllib.load(_file)

    # couldn't find `tommllib`, so try `toml`
    toml = try_import("toml")

    if toml is None:  # pragma: no cover
        message = "Please install the toml library."
        raise ModuleNotFoundError(message)

    with open(param_value, "r", encoding="utf-8") as _file:
        return toml.load(_file)

dotenv_loader 

dotenv_loader(
    param_value: TyperParameterValue,
) -> ConfigDict

Dotenv file loader.

Parameters:

Name Type Description Default
param_value TyperParameterValue

path of Dotenv file

 required

Raises:

Type Description
ModuleNotFoundError

python-dotenv library is not installed

Returns:

Name Type Description
ConfigDict ConfigDict

dictionary loaded from file
Source code in typer_config/loaders.py 
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def dotenv_loader(param_value: TyperParameterValue) -> ConfigDict:
    """Dotenv file loader.

    Args:
        param_value (TyperParameterValue): path of Dotenv file

    Raises:
        ModuleNotFoundError: python-dotenv library is not installed

    Returns:
        ConfigDict: dictionary loaded from file
    """

    dotenv = try_import("dotenv")

    if dotenv is None:  # pragma: no cover
        message = "Please install the python-dotenv library."
        raise ModuleNotFoundError(message)

    with open(param_value, "r", encoding="utf-8") as _file:
        # NOTE: I'm using a stream here so that the loader
        # will raise an exception when the file doesn't exist.
        conf: ConfigDict = dotenv.dotenv_values(stream=_file)

    return conf

ini_loader 

ini_loader(param_value: TyperParameterValue) -> ConfigDict

INI file loader.

Note

INI files must have sections at the top level. You probably want to combine this with loader_transformer to extract the correct section. For example: 

ini_section_loader = loader_transformer(
    ini_loader,
    config_transformer=lambda config: config["section"],
)

Parameters:

Name Type Description Default
param_value TyperParameterValue

path of INI file

 required

Returns:

Name Type Description
ConfigDict ConfigDict

dictionary loaded from file
Source code in typer_config/loaders.py 
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def ini_loader(param_value: TyperParameterValue) -> ConfigDict:
    """INI file loader.

    Note:
        INI files must have sections at the top level.
        You probably want to combine this with `loader_transformer`
        to extract the correct section.
        For example:
        ```py
        ini_section_loader = loader_transformer(
            ini_loader,
            config_transformer=lambda config: config["section"],
        )
        ```

    Args:
        param_value (TyperParameterValue): path of INI file

    Returns:
        ConfigDict: dictionary loaded from file
    """

    ini_parser = ConfigParser()
    with open(param_value, "r", encoding="utf-8") as _file:
        ini_parser.read_file(_file)

    conf: ConfigDict = {
        sect: dict(ini_parser.items(sect)) for sect in ini_parser.sections()
    }

    return conf

utils

Utilities.

SimpleWarningFormat

Simple Warning Formatter.

Source code in typer_config/utils.py 
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class SimpleWarningFormat:
    """Simple Warning Formatter."""

    def __enter__(self: SimpleWarningFormat) -> None:  # noqa: D105
        warnings.formatwarning = (
            lambda msg, category, *args, **kwargs: f"{category.__name__}: {msg}\n"  # noqa: ARG005
        )

    def __exit__(  # noqa: D105
        self: SimpleWarningFormat,
        exc_type: Any,  # noqa: ANN401
        exc_value: Any,  # noqa: ANN401
        exc_tb: Any,  # noqa: ANN401
    ) -> None:
        warnings.formatwarning = ORIGINAL_WARNING_FORMATTER

get_dict_section 

get_dict_section(
    _dict: Dict[Any, Any], keys: Optional[List[Any]] = None
) -> Dict[Any, Any]

Get section of a dictionary.

Parameters:

Name Type Description Default
_dict Dict[str, Any]

dictionary to access

 required
keys List[str]

list of keys to successively access in the dictionary

 None

Returns:

Type Description
Dict[Any, Any]

Dict[str, Any]: section of dictionary requested
Source code in typer_config/utils.py 
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def get_dict_section(
    _dict: Dict[Any, Any], keys: Optional[List[Any]] = None
) -> Dict[Any, Any]:
    """Get section of a dictionary.

    Args:
        _dict (Dict[str, Any]): dictionary to access
        keys (List[str]): list of keys to successively access in the dictionary

    Returns:
        Dict[str, Any]: section of dictionary requested
    """
    if keys is not None:
        for key in keys:
            _dict = _dict.get(key, {})

    return _dict

file_exists_and_warn 

file_exists_and_warn(file_path: Union[Path, str]) -> bool

Check if file exists and warn if it doesn't exist.

Parameters:

Name Type Description Default
file_path Union[Path, str]

file path to check

 required

Returns:

Name Type Description
bool bool

whether file exists
Source code in typer_config/utils.py 
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def file_exists_and_warn(file_path: Union[Path, str]) -> bool:
    """Check if file exists and warn if it doesn't exist.

    Args:
        file_path (Union[Path, str]): file path to check

    Returns:
        bool: whether file exists
    """

    file_path_exists = Path(file_path).is_file()

    if not file_path_exists:
        msg = f"No such file: '{file_path}'"

        with SimpleWarningFormat():
            showwarning(msg, UserWarning, "", 0)

    return file_path_exists