DatabricksAIModelContext

class pyatlan.model.assets.DatabricksAIModelContext(*, typeName: str = 'DatabricksAIModelContext', attributes: DatabricksAIModelContext.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)

Description

AI_MODEL_DATASETS_DSL: ClassVar[TextField] = <pyatlan.model.fields.atlan_fields.TextField object>

Search DSL used to define which assets/datasets are part of the AI model.

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

Status of the AI model

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

Version of the AI model

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

Simple name of the calculation view in which this SQL asset exists, or empty if it does not exist within a calculation view.

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

Unique name of the calculation view in which this SQL asset exists, or empty if it does not exist within a calculation view.

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

Simple name of the database in which this SQL asset exists, or empty if it does not exist within a database.

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

Unique name of the database in which this SQL asset exists, or empty if it does not exist within a database.

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

The id of the model, common across versions.

DATABRICKS_AI_MODEL_SCHEMA: ClassVar[RelationField] = <pyatlan.model.fields.atlan_fields.RelationField object>

TBC

DATABRICKS_AI_MODEL_VERSIONS: ClassVar[RelationField] = <pyatlan.model.fields.atlan_fields.RelationField object>

TBC

DBT_MODELS: ClassVar[RelationField] = <pyatlan.model.fields.atlan_fields.RelationField object>

TBC

DBT_SEED_ASSETS: ClassVar[RelationField] = <pyatlan.model.fields.atlan_fields.RelationField object>

TBC

DBT_SOURCES: ClassVar[RelationField] = <pyatlan.model.fields.atlan_fields.RelationField object>

TBC

DBT_TESTS: ClassVar[RelationField] = <pyatlan.model.fields.atlan_fields.RelationField object>

TBC

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

Accountability configuration for ensuring the ethical use of an AI asset

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

Bias mitigation configuration for ensuring the ethical use of an AI asset

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

Environmental consciousness configuration for ensuring the ethical use of an AI asset

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

Fairness configuration for ensuring the ethical use of an AI asset

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

Privacy configuration for ensuring the ethical use of an AI asset

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

Reliability and safety configuration for ensuring the ethical use of an AI asset

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

Transparency configuration for ensuring the ethical use of an AI asset

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

Whether this asset has been profiled (true) or not (false).

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

Time (epoch) at which this asset was last profiled, in milliseconds.

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

Number of times this asset has been queried.

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

Time (epoch) at which the query count was last updated, in milliseconds.

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

Number of unique users who have queried this asset.

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

Map of unique users who have queried this asset to the number of times they have queried it.

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

Simple name of the schema in which this SQL asset exists, or empty if it does not exist within a schema.

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

Unique name of the schema in which this SQL asset exists, or empty if it does not exist within a schema.

SQL_DBT_MODELS: ClassVar[RelationField] = <pyatlan.model.fields.atlan_fields.RelationField object>

TBC

SQL_DBT_SOURCES: ClassVar[RelationField] = <pyatlan.model.fields.atlan_fields.RelationField object>

TBC

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

Simple name of the table in which this SQL asset exists, or empty if it does not exist within a table.

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

Unique name of the table in which this SQL asset exists, or empty if it does not exist within a table.

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

Simple name of the view in which this SQL asset exists, or empty if it does not exist within a view.

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

Unique name of the view in which this SQL asset exists, or empty if it does not exist within a view.