WeightMetadata

class caf.space.metadata.WeightMetadata(*, data_col, id_col, year, type)

Bases: BaseConfig

Class for storing metadata about weighting date.

This is not currently used but could be part of a GUI.

Attributes

model_computed_fields	A dictionary of computed field names and their corresponding ComputedFieldInfo objects.
model_config	Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].
model_extra	Get extra fields set during validation.
model_fields	Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo] objects.
model_fields_set	Returns the set of fields that have been explicitly set on this model instance.
data_col
id_col
year
type

Methods

Attributes Documentation

Parameters:

• data_col (str)

• id_col (str)

• year (int)

• type (str)

model_computed_fields: ClassVar[Dict[str, ComputedFieldInfo]] = {}

A dictionary of computed field names and their corresponding ComputedFieldInfo objects.

model_config: ClassVar[ConfigDict] = {}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

model_extra

Get extra fields set during validation.

Returns:

A dictionary of extra fields, or None if config.extra is not set to “allow”.

model_fields: ClassVar[Dict[str, FieldInfo]] = {'data_col': FieldInfo(annotation=str, required=True), 'id_col': FieldInfo(annotation=str, required=True), 'type': FieldInfo(annotation=str, required=True), 'year': FieldInfo(annotation=int, required=True)}

Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo] objects.

This replaces Model.__fields__ from Pydantic V1.

model_fields_set

Returns the set of fields that have been explicitly set on this model instance.

Returns:

A set of strings representing the fields that have been set,

i.e. that were not filled from defaults.

data_col: str

id_col: str

year: int

type: str