Module madsci.client.cli.utils.config

CLI configuration management.

This module provides configuration handling for the MADSci CLI.

Classes¶

MadsciCLIConfig(**values: Any)

Configuration for MADSci CLI.

Configuration is loaded from multiple sources in order of precedence:

1. Command-line arguments

2. Environment variables (MADSCI_ prefix)

3. Configuration file (~/.madsci/config.toml or local .madsci/config.toml)

4. Default values

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Ancestors (in MRO)¶

• pydantic_settings.main.BaseSettings

• pydantic.main.BaseModel

Class variables¶

color_enabled: bool :

data_manager_url: pydantic.networks.AnyUrl :

default_output_format: str :

event_manager_url: pydantic.networks.AnyUrl :

experiment_manager_url: pydantic.networks.AnyUrl :

lab_url: pydantic.networks.AnyUrl :

location_manager_url: pydantic.networks.AnyUrl :

model_config: ClassVar[pydantic_settings.main.SettingsConfigDict] :

registry_path: pathlib.Path :

resource_manager_url: pydantic.networks.AnyUrl :

template_dir: pathlib.Path | None :

workcell_manager_url: pydantic.networks.AnyUrl :

Static methods¶

get_config_paths() ‑> list[pathlib.Path]

Get list of possible config file paths in order of precedence.

Returns: List of Path objects to check for config files.

load(config_path: str | None = None) ‑> madsci.client.cli.utils.config.MadsciCLIConfig

Load configuration from file or defaults.

Args: config_path: Optional explicit path to config file.

Returns: MadsciCLIConfig instance with loaded values.

Methods¶

save(self, path: pathlib.Path | None = None) ‑> None

Save configuration to a TOML file.

Args: path: Path to save to. Defaults to ~/.madsci/config.toml.