SchemaManagerSettings

pydantic model safir.kafka.SchemaManagerSettings

Settings for constructing a PydanticSchemaManager.

Parameters:

• _case_sensitive (bool | None, default: None)

• _nested_model_default_partial_update (bool | None, default: None)

• _env_prefix (str | None, default: None)

• _env_prefix_target (Literal['variable', 'alias', 'all'] | None, default: None)

• _env_file (Path | str | Sequence[Path | str] | None, default: PosixPath('.'))

• _env_file_encoding (str | None, default: None)

• _env_file_depth (int | None, default: None)

• _env_ignore_empty (bool | None, default: None)

• _env_nested_delimiter (str | None, default: None)

• _env_nested_max_split (int | None, default: None)

• _env_parse_none_str (str | None, default: None)

• _env_parse_enums (bool | None, default: None)

• _cli_prog_name (str | None, default: None)

• _cli_parse_args (bool | list[str] | tuple[str, ...] | None, default: None)

• _cli_settings_source (CliSettingsSource[Any] | None, default: None)

• _cli_parse_none_str (str | None, default: None)

• _cli_hide_none_type (bool | None, default: None)

• _cli_avoid_json (bool | None, default: None)

• _cli_enforce_required (bool | None, default: None)

• _cli_use_class_docs_for_groups (bool | None, default: None)

• _cli_show_env_vars (bool | None, default: None)

• _cli_exit_on_error (bool | None, default: None)

• _cli_prefix (str | None, default: None)

• _cli_flag_prefix_char (str | None, default: None)

• _cli_implicit_flags (bool | Literal['dual', 'toggle'] | None, default: None)

• _cli_ignore_unknown_args (bool | None, default: None)

• _cli_kebab_case (bool | Literal['all', 'no_enums'] | None, default: None)

• _cli_shortcuts (Mapping[str, str | list[str]] | None, default: None)

• _secrets_dir (Path | str | Sequence[Path | str] | None, default: None)

• _build_sources (tuple[tuple[PydanticBaseSettingsSource, ...], dict[str, Any]] | None, default: None)

• registry_url (AnyUrl)

• suffix (str, default: '')

Config:

• env_prefix: str = SCHEMA_MANAGER_

• validate_by_name: bool = True

Fields:

• registry_url (pydantic.networks.AnyUrl)

• suffix (str)

field registry_url: AnyUrl [Required]

URL of a a Confluent-compatible schema registry

field suffix: str = ''

A suffix that is added to the schema name (and thus the subject name). The suffix creates alternate subjects in the Schema Registry so schemas registered during testing and staging don’t affect the compatibility continuity of a production subject. For production, it’s best to not set a suffix.

classmethod settings_cached()

Return the cached default settings instance for this settings class.

The instance is constructed on first use and reused afterwards. Subclasses are cached separately, so caching a class does not affect its parents or children.

Return type:

Self

classmethod settings_clear_cache()

Remove the cached default settings instance for this settings class, if any.

Only the cache entry for this exact class is removed. Subclasses keep their own cached instances and must be cleared individually.

A settings_cached() call already in flight may still return the instance it was building, so clearing does not retroactively invalidate references other threads hold.

Return type:

None

classmethod settings_customise_sources(settings_cls, init_settings, env_settings, dotenv_settings, file_secret_settings)

Define the sources and their order for loading the settings values.

Args:

settings_cls: The Settings class. init_settings: The InitSettingsSource instance. env_settings: The EnvSettingsSource instance. dotenv_settings: The DotEnvSettingsSource instance. file_secret_settings: The SecretsSettingsSource instance.

Returns:

A tuple containing the sources and their order for loading the settings values.

Parameters:

• settings_cls (type[BaseSettings])

• init_settings (PydanticBaseSettingsSource)

• env_settings (PydanticBaseSettingsSource)

• dotenv_settings (PydanticBaseSettingsSource)

• file_secret_settings (PydanticBaseSettingsSource)

Return type:

tuple[PydanticBaseSettingsSource, ...]

make_manager(logger=None)

Construct a PydanticSchemaManager from the fields of this model.

Parameters:

logger (BoundLogger | None, default: None)

Return type:

PydanticSchemaManager

to_registry_params()

Make a dict of params to construct an AsyncSchemaRegistryClient.

Return type:

SchemaRegistryClientParams