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feat(sdk): add EntityClient.delete documentation and tests (#13688)
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@ -153,3 +153,44 @@ class EntityClient:
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mcps = updater.build()
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self._graph.emit_mcps(mcps)
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def delete(
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self,
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urn: UrnOrStr,
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check_exists: bool = True,
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cascade: bool = False,
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hard: bool = False,
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) -> None:
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"""Delete an entity by its urn.
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Args:
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urn: The urn of the entity to delete. Can be a string or :py:class:`Urn` object.
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check_exists: Whether to check if the entity exists before deletion. Defaults to True.
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cascade: Whether to cascade delete related entities. When True, deletes child entities
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like datajobs within dataflows, datasets within containers, etc. Not yet supported.
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hard: Whether to perform a hard delete (permanent) or soft delete. Defaults to False.
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Raises:
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SdkUsageError: If the entity does not exist and check_exists is True, or if cascade is True (not supported).
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Note:
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When hard is True, the operation is irreversible and the entity will be permanently removed.
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Impact of cascade deletion (still to be done) depends on the input entity type:
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- Container: Recursively deletes all containers and data assets within the container.
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- Dataflow: Recursively deletes all data jobs within the dataflow.
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- Dashboard: TBD
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- DataPlatformInstance: TBD
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- ...
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"""
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urn_str = str(urn) if isinstance(urn, Urn) else urn
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if check_exists and not self._graph.exists(entity_urn=urn_str):
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raise SdkUsageError(
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f"Entity {urn_str} does not exist, and hence cannot be deleted. "
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"You can bypass this check by setting check_exists=False."
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)
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if cascade:
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raise SdkUsageError("The 'cascade' parameter is not yet supported.")
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self._graph.delete_entity(urn=urn_str, hard=hard)
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@ -1,4 +1,6 @@
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import pathlib
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from dataclasses import dataclass
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from typing import Optional, Tuple, Type, Union
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from unittest.mock import Mock
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import pytest
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@ -7,7 +9,7 @@ import datahub.metadata.schema_classes as models
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from datahub.emitter.mcp_builder import DatabaseKey, SchemaKey
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from datahub.errors import ItemNotFoundError, SdkUsageError
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from datahub.ingestion.graph.client import DataHubGraph
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from datahub.metadata.urns import DatasetUrn, TagUrn
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from datahub.metadata.urns import DatasetUrn, TagUrn, Urn
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from datahub.sdk.container import Container
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from datahub.sdk.dataset import Dataset
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from datahub.sdk.main_client import DataHubClient
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@ -141,3 +143,141 @@ def test_get_nonexistent_dataset_fails(client: DataHubClient, mock_graph: Mock)
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with pytest.raises(ItemNotFoundError, match="Entity .* not found"):
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client.entities.get(dataset_urn)
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@dataclass
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class EntityClientDeleteTestParams:
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"""Test parameters for the delete method."""
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urn: Union[str, Urn]
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check_exists: bool = True
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cascade: bool = False
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hard: bool = False
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entity_exists: bool = True
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expected_exception: Optional[Type[Exception]] = None
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expected_graph_exists_call: bool = True
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expected_delete_call: Optional[Tuple[str, bool]] = None
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@pytest.mark.parametrize(
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"params",
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[
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pytest.param(
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EntityClientDeleteTestParams(
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urn="urn:li:dataset:(urn:li:dataPlatform:snowflake,test.table,PROD)",
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check_exists=True,
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cascade=False,
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hard=False,
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entity_exists=True,
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expected_exception=None,
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expected_graph_exists_call=True,
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expected_delete_call=(
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"urn:li:dataset:(urn:li:dataPlatform:snowflake,test.table,PROD)",
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False,
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),
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),
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id="successful_soft_delete_with_exists_check",
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),
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pytest.param(
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EntityClientDeleteTestParams(
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urn=DatasetUrn(platform="snowflake", name="test.table", env="prod"),
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check_exists=True,
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cascade=False,
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hard=True,
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entity_exists=True,
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expected_exception=None,
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expected_graph_exists_call=True,
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expected_delete_call=(
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"urn:li:dataset:(urn:li:dataPlatform:snowflake,test.table,PROD)",
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True,
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),
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),
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id="successful_hard_delete_with_urn_object",
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),
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pytest.param(
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EntityClientDeleteTestParams(
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urn="urn:li:dataset:(urn:li:dataPlatform:snowflake,test.table,PROD)",
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check_exists=False,
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cascade=False,
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hard=False,
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entity_exists=False,
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expected_exception=None,
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expected_graph_exists_call=False,
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expected_delete_call=(
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"urn:li:dataset:(urn:li:dataPlatform:snowflake,test.table,PROD)",
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False,
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),
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),
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id="delete_without_exists_check",
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),
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pytest.param(
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EntityClientDeleteTestParams(
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urn="urn:li:dataset:(urn:li:dataPlatform:snowflake,test.table,PROD)",
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check_exists=True,
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cascade=False,
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hard=False,
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entity_exists=False,
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expected_exception=SdkUsageError,
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expected_graph_exists_call=True,
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expected_delete_call=None,
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),
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id="delete_nonexistent_entity_with_check",
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),
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pytest.param(
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EntityClientDeleteTestParams(
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urn="urn:li:dataset:(urn:li:dataPlatform:snowflake,test.table,PROD)",
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check_exists=True,
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cascade=True,
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hard=False,
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entity_exists=True,
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expected_exception=SdkUsageError,
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expected_graph_exists_call=True,
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expected_delete_call=None,
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),
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id="cascade_delete_not_supported",
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),
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],
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)
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def test_delete_entity(
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client: DataHubClient,
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mock_graph: Mock,
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params: EntityClientDeleteTestParams,
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) -> None:
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"""Test delete method with various parameter combinations."""
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# Setup mock
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mock_graph.exists.return_value = params.entity_exists
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mock_graph.delete_entity = Mock()
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if params.expected_exception:
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# Test that expected exception is raised
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with pytest.raises(params.expected_exception):
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client.entities.delete(
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urn=params.urn,
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check_exists=params.check_exists,
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cascade=params.cascade,
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hard=params.hard,
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)
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else:
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# Test successful deletion
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client.entities.delete(
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urn=params.urn,
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check_exists=params.check_exists,
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cascade=params.cascade,
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hard=params.hard,
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)
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# Verify graph.exists was called correctly
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if params.expected_graph_exists_call:
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expected_urn_str = str(params.urn)
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mock_graph.exists.assert_called_once_with(entity_urn=expected_urn_str)
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else:
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mock_graph.exists.assert_not_called()
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# Verify graph.delete_entity was called correctly
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if params.expected_delete_call:
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expected_urn_str, expected_hard = params.expected_delete_call
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mock_graph.delete_entity.assert_called_once_with(
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urn=expected_urn_str, hard=expected_hard
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)
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else:
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mock_graph.delete_entity.assert_not_called()
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