GetGlossary200Response

pydantic model openapi_client.models.get_glossary200_response.GetGlossary200Response

GetGlossary200Response

Fields:

• actual_instance (Dict[str, List[openapi_client.models.glossary_linked_asset.GlossaryLinkedAsset]] | openapi_client.models.glossary_details.GlossaryDetails | None)

• one_of_schemas (Set[str])

• oneof_schema_1_validator (openapi_client.models.glossary_details.GlossaryDetails | None)

• oneof_schema_2_validator (Dict[str, List[openapi_client.models.glossary_linked_asset.GlossaryLinkedAsset]] | None)

field oneof_schema_1_validator: Optional[GlossaryDetails] = None

field oneof_schema_2_validator: Optional[Dict[str, List[GlossaryLinkedAsset]]] = None

Map of TermName to linked assets (only terms with DataReferences)

field actual_instance: Optional[Union[Dict[str, List[GlossaryLinkedAsset]], GlossaryDetails]] = None

field one_of_schemas: Set[str] = {'Dict[str, List[GlossaryLinkedAsset]]', 'GlossaryDetails'}

__init__(*args, **kwargs)

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.

classmethod from_dict(obj)

Return type:

Self

classmethod from_json(json_str)

Returns the object represented by the json string

Return type:

Self

to_json()

Returns the JSON representation of the actual instance

Return type:

str

to_dict()

Returns the dict representation of the actual instance

Return type:

Union[Dict[str, Any], Dict[str, List[GlossaryLinkedAsset]], GlossaryDetails, None]

to_str()

Returns the string representation of the actual instance

Return type:

str