DbtMetric

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

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

TBC

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

Name of the account in which this asset exists in dbt.

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

Alias of this asset in dbt.

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

Connection context for this asset in dbt.

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

Version of dbt used in the environment.

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

Name of the environment in which this asset exists in dbt.

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

Time (epoch) at which the job that materialized this asset in dbt last ran, in milliseconds.

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

Name of the job that materialized this asset in dbt.

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

Time (epoch) at which the job that materialized this asset in dbt will next run, in milliseconds.

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

Human-readable time at which the job that materialized this asset in dbt will next run.

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

List of latest dbt job runs across all environments.

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

Schedule of the job that materialized this asset in dbt.

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

Human-readable cron schedule of the job that materialized this asset in dbt.

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

Status of the job that materialized this asset in dbt.

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

Metadata for this asset in dbt, specifically everything under the ‘meta’ key in the dbt object.

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

Filters applied to the dbt metric.

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

TBC

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

TBC

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

Name of the package in which this asset exists in dbt.

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

Name of the project in which this asset exists in dbt.

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

URL of the semantic layer proxy for this asset in dbt.

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

List of tags attached to this asset in dbt.

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

Unique identifier of this asset in dbt.

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

Whether this data quality is part of contract (true) or not (false).

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

TBC

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

Filters to be applied to the metric query.

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

SQL query used to compute the metric.

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

TBC

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

List of time grains to be applied to the metric query.

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

Type of the metric.