DataStudioAsset

class pyatlan.model.assets.DataStudioAsset(*, typeName: str = 'DataStudioAsset', attributes: DataStudioAsset.Attributes = None, businessAttributes: Dict[str, Any] | None = None, createdBy: str | None = None, createTime: int | None = None, deleteHandler: str | None = None, guid: str = None, isIncomplete: bool | None = None, labels: List[str] | None = None, relationshipAttributes: RelationshipAttributes | Dict[str, Any] | None = None, status: EntityStatus | None = None, updatedBy: str | None = None, updateTime: int | None = None, version: int | None = None, classifications: List[AtlanTag] | None = None, classificationNames: List[str] | None = None, displayText: str | None = None, entityStatus: str | None = None, relationshipGuid: str | None = None, relationshipStatus: str | None = None, relationshipType: str | None = None, meaningNames: List[str] | None = None, meanings: List[Meaning] | None = None, customAttributes: Dict[str, Any] | None = None, scrubbed: bool | None = None, pendingTasks: List[str] | None = None, uniqueAttributes: Dict[str, Any] | None = None, appendRelationshipAttributes: Dict[str, Any] | None = None, removeRelationshipAttributes: Dict[str, Any] | None = None, addOrUpdateClassifications: List[AtlanTag] | None = None, removeClassifications: List[AtlanTag] | None = None, semantic: SaveSemantic | None = None, depth: int | None = None, immediateUpstream: List[LineageRef] | None = None, immediateDownstream: List[LineageRef] | None = None)[source]

Description

DATA_STUDIO_ASSET_OWNER: ClassVar[KeywordField] = <pyatlan.model.fields.atlan_fields.KeywordField object>

Owner of the asset, from Google Data Studio.

DATA_STUDIO_ASSET_TITLE: ClassVar[KeywordTextStemmedField] = <pyatlan.model.fields.atlan_fields.KeywordTextStemmedField object>

Title of the Google Data Studio asset.

DATA_STUDIO_ASSET_TYPE: ClassVar[KeywordField] = <pyatlan.model.fields.atlan_fields.KeywordField object>

Type of the Google Data Studio asset, for example: REPORT or DATA_SOURCE.

GOOGLE_LABELS: ClassVar[KeywordField] = <pyatlan.model.fields.atlan_fields.KeywordField object>

List of labels that have been applied to the asset in Google.

GOOGLE_LOCATION: ClassVar[KeywordField] = <pyatlan.model.fields.atlan_fields.KeywordField object>

Location of this asset in Google.

GOOGLE_LOCATION_TYPE: ClassVar[KeywordField] = <pyatlan.model.fields.atlan_fields.KeywordField object>

Type of location of this asset in Google.

GOOGLE_PROJECT_ID: ClassVar[KeywordTextField] = <pyatlan.model.fields.atlan_fields.KeywordTextField object>

ID of the project in which the asset exists.

GOOGLE_PROJECT_NAME: ClassVar[KeywordTextField] = <pyatlan.model.fields.atlan_fields.KeywordTextField object>

Name of the project in which the asset exists.

GOOGLE_PROJECT_NUMBER: ClassVar[NumericField] = <pyatlan.model.fields.atlan_fields.NumericField object>

Number of the project in which the asset exists.

GOOGLE_SERVICE: ClassVar[KeywordField] = <pyatlan.model.fields.atlan_fields.KeywordField object>

Service in Google in which the asset exists.

GOOGLE_TAGS: ClassVar[KeywordField] = <pyatlan.model.fields.atlan_fields.KeywordField object>

List of tags that have been applied to the asset in Google.

IS_TRASHED_DATA_STUDIO_ASSET: ClassVar[BooleanField] = <pyatlan.model.fields.atlan_fields.BooleanField object>

Whether the Google Data Studio asset has been trashed (true) or not (false).