boilercv_dev.tools.environment

Contributor environment setup.

Module Contents

Classes

Constants	Constants for environment.
Config	Get tool config from pyproject.toml.

Functions

sync_environment_variables	Sync .env with pyproject.toml, optionally setting environment variables.
run	Run command.

Data

const

API

class boilercv_dev.tools.environment.Constants(

/,

**data: typing.Any,

)

Bases: pydantic.BaseModel

Constants for environment.

Initialization

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.

dev_tool_config: tuple[str, ...]

(‘tool’,)

Path to dev tool configuration in pyproject.toml.

pylance_version_source: str

‘.pylance-version’

Path to Pylance version file.

shell: list[str]

[‘pwsh’, ‘-Command’]

Shell invocation for running arbitrary commands.

uv_run_wrapper: str

‘./Invoke-Uv’

Wrapper of uv run with extra setup.

env: pathlib.Path

None

Environment file path.

pylance_version: str

‘strip(…)’

Pylance version.

boilercv_dev.tools.environment.const

‘Constants(…)’

boilercv_dev.tools.environment.sync_environment_variables(

args: boilercv_dev.SyncEnvironmentVariables,

)

Sync .env with pyproject.toml, optionally setting environment variables.

boilercv_dev.tools.environment.run(

*args: str,

check: bool = True,

**kwds,

)

Run command.

class boilercv_dev.tools.environment.Config(

_case_sensitive: bool | None = None,

_nested_model_default_partial_update: bool | None = None,

_env_prefix: str | None = None,

_env_file: pydantic_settings.sources.DotenvType | None = ENV_FILE_SENTINEL,

_env_file_encoding: str | None = None,

_env_ignore_empty: bool | None = None,

_env_nested_delimiter: str | None = None,

_env_parse_none_str: str | None = None,

_env_parse_enums: bool | None = None,

_cli_prog_name: str | None = None,

_cli_parse_args: bool | list[str] | tuple[str, ...] | None = None,

_cli_settings_source: pydantic_settings.sources.CliSettingsSource[Any] | None = None,

_cli_parse_none_str: str | None = None,

_cli_hide_none_type: bool | None = None,

_cli_avoid_json: bool | None = None,

_cli_enforce_required: bool | None = None,

_cli_use_class_docs_for_groups: bool | None = None,

_cli_exit_on_error: bool | None = None,

_cli_prefix: str | None = None,

_cli_implicit_flags: bool | None = None,

_secrets_dir: pydantic_settings.sources.PathType | None = None,

**values: Any,

)

Bases: pydantic_settings.BaseSettings

Get tool config from pyproject.toml.

Initialization

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.

model_config

‘SettingsConfigDict(…)’

env: dict[str, str]

‘Field(…)’

classmethod settings_customise_sources(

settings_cls,

**_,

)

Only load from pyproject.toml.