AssetDetails

class openapi_client.models.asset_details.AssetDetails(**data)

Bases: BaseModel

asset_id: Optional[StrictStr]

asset_name: Optional[StrictStr]

asset_type: Optional[StrictStr]

datasource_id: Optional[StrictStr]

technical_metadata: Optional[Dict[str, Any]]

var_schema: Optional[Dict[str, Any]]

dependencies: Optional[Dict[str, Any]]

created_by: Optional[StrictStr]

creation_time: Optional[StrictStr]

last_modified_time: Optional[StrictStr]

last_modified_by: Optional[StrictStr]

business_metadata: Optional[Dict[str, Any]]

operational_metadata: Optional[Dict[str, Any]]

custom_metadata: Optional[Dict[str, Any]]

glossary_details: Optional[List[AssetDetailsGlossaryDetailsInner]]

model_config: ClassVar[ConfigDict] = {'populate_by_name': True, 'protected_namespaces': (), 'validate_assignment': True}

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

to_str()

Returns the string representation of the model using alias

Return type:

str

to_json()

Returns the JSON representation of the model using alias

Return type:

str

classmethod from_json(json_str)

Create an instance of AssetDetails from a JSON string

Return type:

Optional[Self]

to_dict()

Return the dictionary representation of the model using alias.

This has the following differences from calling pydantic’s self.model_dump(by_alias=True):

• None is only added to the output dict for nullable fields that were set at model initialization. Other fields with value None are ignored.

Return type:

Dict[str, Any]

classmethod from_dict(obj)

Create an instance of AssetDetails from a dict

Return type:

Optional[Self]

model_fields: ClassVar[dict[str, FieldInfo]] = {'asset_id': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='AssetId', alias_priority=2), 'asset_name': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='AssetName', alias_priority=2), 'asset_type': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='AssetType', alias_priority=2), 'business_metadata': FieldInfo(annotation=Union[Dict[str, Any], NoneType], required=False, alias='BusinessMetadata', alias_priority=2), 'created_by': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='CreatedBy', alias_priority=2), 'creation_time': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='CreationTime', alias_priority=2), 'custom_metadata': FieldInfo(annotation=Union[Dict[str, Any], NoneType], required=False, alias='CustomMetadata', alias_priority=2), 'datasource_id': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='DatasourceId', alias_priority=2), 'dependencies': FieldInfo(annotation=Union[Dict[str, Any], NoneType], required=False, alias='Dependencies', alias_priority=2), 'glossary_details': FieldInfo(annotation=Union[List[AssetDetailsGlossaryDetailsInner], NoneType], required=False, alias='GlossaryDetails', alias_priority=2), 'last_modified_by': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='LastModifiedBy', alias_priority=2), 'last_modified_time': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='LastModifiedTime', alias_priority=2), 'operational_metadata': FieldInfo(annotation=Union[Dict[str, Any], NoneType], required=False, alias='OperationalMetadata', alias_priority=2), 'technical_metadata': FieldInfo(annotation=Union[Dict[str, Any], NoneType], required=False, alias='TechnicalMetadata', alias_priority=2), 'var_schema': FieldInfo(annotation=Union[Dict[str, Any], NoneType], required=False, alias='Schema', alias_priority=2)}

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

This replaces Model.__fields__ from Pydantic V1.

model_post_init(__context)

This function is meant to behave like a BaseModel method to initialise private attributes.

It takes context as an argument since that’s what pydantic-core passes when calling it.

Parameters:

• self (BaseModel) – The BaseModel instance.

• __context (Any) – The context.

Return type:

None