DatasetSearch¶

class openapi_client.models.dataset_search.DatasetSearch(**data)[source]¶

Bases: BaseModel

dataset_id: StrictStr¶

dataset_name: StrictStr¶

dataset_description: StrictStr¶

data_classification: Optional[List[StrictStr]]¶

domain: Optional[StrictStr]¶

file_type: Optional[StrictStr]¶

target_location: Optional[StrictStr]¶

keywords: Optional[List[StrictStr]]¶

last_modified: Optional[StrictStr]¶

last_modified_by: Optional[StrictStr]¶

is_active: Optional[StrictStr]¶

access_type: Optional[StrictStr]¶

request_status: Optional[StrictStr]¶

files: Optional[List[StrictStr]]¶

total_files_count: Optional[StrictInt]¶

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()[source]¶

Returns the string representation of the model using alias

Return type:: str

to_json()[source]¶

Returns the JSON representation of the model using alias

Return type:: str

classmethod from_json(json_str)[source]¶

Create an instance of DatasetSearch from a JSON string

Return type:: Optional[Self]

to_dict()[source]¶

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)[source]¶

Create an instance of DatasetSearch from a dict

Return type:: Optional[Self]

model_fields: ClassVar[dict[str, FieldInfo]] = {'access_type': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='AccessType', alias_priority=2), 'data_classification': FieldInfo(annotation=Union[List[Annotated[str, Strict(strict=True)]], NoneType], required=False, alias='DataClassification', alias_priority=2), 'dataset_description': FieldInfo(annotation=str, required=True, alias='DatasetDescription', alias_priority=2, metadata=[Strict(strict=True)]), 'dataset_id': FieldInfo(annotation=str, required=True, alias='DatasetId', alias_priority=2, metadata=[Strict(strict=True)]), 'dataset_name': FieldInfo(annotation=str, required=True, alias='DatasetName', alias_priority=2, metadata=[Strict(strict=True)]), 'domain': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='Domain', alias_priority=2), 'file_type': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='FileType', alias_priority=2), 'files': FieldInfo(annotation=Union[List[Annotated[str, Strict(strict=True)]], NoneType], required=False, alias='Files', alias_priority=2), 'is_active': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='IsActive', alias_priority=2), 'keywords': FieldInfo(annotation=Union[List[Annotated[str, Strict(strict=True)]], NoneType], required=False, alias='Keywords', alias_priority=2), 'last_modified': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='LastModified', alias_priority=2), 'last_modified_by': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='LastModifiedBy', alias_priority=2), 'request_status': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='RequestStatus', alias_priority=2), 'target_location': FieldInfo(annotation=Union[Annotated[str, Strict(strict=True)], NoneType], required=False, alias='TargetLocation', alias_priority=2), 'total_files_count': FieldInfo(annotation=Union[Annotated[int, Strict(strict=True)], NoneType], required=False, alias='TotalFilesCount', 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