feat(ingest/transform): extend ownership transformer to other entities

metadata-ingestion/src/datahub/ingestion/transformer/add_dataset_ownership.py

@@ -13,9 +13,7 @@
 from datahub.emitter.mcp import MetadataChangeProposalWrapper
 from datahub.ingestion.api.common import PipelineContext
 from datahub.ingestion.graph.client import DataHubGraph
-from datahub.ingestion.transformer.dataset_transformer import (
-    DatasetOwnershipTransformer,
-)
+from datahub.ingestion.transformer.dataset_transformer import OwnershipTransformer
 from datahub.metadata.schema_classes import (
     BrowsePathsV2Class,
     MetadataChangeProposalClass,
@@ -37,7 +35,7 @@ class AddDatasetOwnershipConfig(TransformerSemanticsConfigModel):
     is_container: bool = False
 
 
-class AddDatasetOwnership(DatasetOwnershipTransformer):
+class AddDatasetOwnership(OwnershipTransformer):
     """Transformer that adds owners to datasets according to a callback function."""
 
     ctx: PipelineContext

metadata-ingestion/src/datahub/ingestion/transformer/dataset_transformer.py

@@ -27,6 +27,22 @@ def entity_types(self) -> List[str]:
         return ["dataset"]
 
 
+class OwnershipTransformer(
+    DatasetTransformer, SingleAspectTransformer, metaclass=ABCMeta
+):
+    def aspect_name(self) -> str:
+        return "ownership"
+
+    def entity_types(self) -> List[str]:
+        return [
+            "dataset",
+            "dataJob",
+            "dataFlow",
+            "chart",
+            "dashboard",
+        ]
+
+
 class TagTransformer(BaseTransformer, SingleAspectTransformer, metaclass=ABCMeta):
     """Transformer that does transform sequentially on each tag."""
 
@@ -47,11 +63,6 @@ def entity_types(self) -> List[str]:
         return ["container"]
 
 
-class DatasetOwnershipTransformer(DatasetTransformer, metaclass=ABCMeta):
-    def aspect_name(self) -> str:
-        return "ownership"
-
-
 class DatasetDomainTransformer(DatasetTransformer, metaclass=ABCMeta):
     def aspect_name(self) -> str:
         return "domains"

metadata-ingestion/src/datahub/ingestion/transformer/pattern_cleanup_ownership.py

@@ -4,9 +4,7 @@
 import datahub.emitter.mce_builder as builder
 from datahub.configuration.common import ConfigModel
 from datahub.ingestion.api.common import PipelineContext
-from datahub.ingestion.transformer.dataset_transformer import (
-    DatasetOwnershipTransformer,
-)
+from datahub.ingestion.transformer.dataset_transformer import OwnershipTransformer
 from datahub.metadata.schema_classes import (
     OwnerClass,
     OwnershipClass,
@@ -20,7 +18,7 @@ class PatternCleanUpOwnershipConfig(ConfigModel):
     pattern_for_cleanup: List[str]
 
 
-class PatternCleanUpOwnership(DatasetOwnershipTransformer):
+class PatternCleanUpOwnership(OwnershipTransformer):
     """Transformer that clean the ownership URN."""
 
     ctx: PipelineContext

metadata-ingestion/src/datahub/ingestion/transformer/remove_dataset_ownership.py

@@ -3,17 +3,15 @@
 from datahub.configuration.common import ConfigModel
 from datahub.emitter.mce_builder import Aspect
 from datahub.ingestion.api.common import PipelineContext
-from datahub.ingestion.transformer.dataset_transformer import (
-    DatasetOwnershipTransformer,
-)
+from datahub.ingestion.transformer.dataset_transformer import OwnershipTransformer
 from datahub.metadata.schema_classes import OwnershipClass
 
 
 class ClearDatasetOwnershipConfig(ConfigModel):
     pass
 
 
-class SimpleRemoveDatasetOwnership(DatasetOwnershipTransformer):
+class SimpleRemoveDatasetOwnership(OwnershipTransformer):
     """Transformer that clears all owners on each dataset."""
 
     def __init__(self, config: ClearDatasetOwnershipConfig, ctx: PipelineContext):

metadata-ingestion/tests/unit/test_transform_dataset.py

@@ -220,7 +220,7 @@ def make_dataset_with_properties() -> models.MetadataChangeEventClass:
     )
 
 
-def test_simple_dataset_ownership_transformation(mock_time):
+def test_dataset_ownership_transformation(mock_time):
     no_owner_aspect = make_generic_dataset()
 
     with_owner_aspect = make_dataset_with_owner()
@@ -254,7 +254,7 @@ def test_simple_dataset_ownership_transformation(mock_time):
         transformer.transform([RecordEnvelope(input, metadata={}) for input in inputs])
     )
 
-    assert len(outputs) == len(inputs) + 1
+    assert len(outputs) == len(inputs) + 2
 
     # Check the first entry.
     first_ownership_aspect = builder.get_aspect_if_available(
@@ -287,11 +287,21 @@ def test_simple_dataset_ownership_transformation(mock_time):
         ]
     )
 
+    third_ownership_aspect = outputs[4].record.aspect
+    assert third_ownership_aspect
+    assert len(third_ownership_aspect.owners) == 2
+    assert all(
+        [
+            owner.type == models.OwnershipTypeClass.DATAOWNER and owner.typeUrn is None
+            for owner in second_ownership_aspect.owners
+        ]
+    )
+
     # Verify that the third entry is unchanged.
     assert inputs[2] == outputs[2].record
 
     # Verify that the last entry is EndOfStream
-    assert inputs[3] == outputs[4].record
+    assert inputs[-1] == outputs[-1].record
 
 
 def test_simple_dataset_ownership_with_type_transformation(mock_time):
@@ -1003,6 +1013,7 @@ def test_pattern_dataset_ownership_transformation(mock_time):
                 "rules": {
                     ".*example1.*": [builder.make_user_urn("person1")],
                     ".*example2.*": [builder.make_user_urn("person2")],
+                    ".*dag_abc.*": [builder.make_user_urn("person2")],
                 }
             },
             "ownership_type": "DATAOWNER",
@@ -1014,7 +1025,9 @@ def test_pattern_dataset_ownership_transformation(mock_time):
         transformer.transform([RecordEnvelope(input, metadata={}) for input in inputs])
     )
 
-    assert len(outputs) == len(inputs) + 1  # additional MCP due to the no-owner MCE
+    assert (
+        len(outputs) == len(inputs) + 2
+    )  # additional MCP due to the no-owner MCE + datajob
 
     # Check the first entry.
     assert inputs[0] == outputs[0].record
@@ -1042,6 +1055,16 @@ def test_pattern_dataset_ownership_transformation(mock_time):
         ]
     )
 
+    third_ownership_aspect = outputs[4].record.aspect
+    assert third_ownership_aspect
+    assert len(third_ownership_aspect.owners) == 1
+    assert all(
+        [
+            owner.type == models.OwnershipTypeClass.DATAOWNER
+            for owner in third_ownership_aspect.owners
+        ]
+    )
+
     # Verify that the third entry is unchanged.
     assert inputs[2] == outputs[2].record
 
@@ -1122,14 +1145,14 @@ def fake_get_aspect(
     pipeline_context.graph.get_aspect = fake_get_aspect  # type: ignore
 
     # No owner aspect for the first dataset
-    no_owner_aspect = models.MetadataChangeEventClass(
+    no_owner_aspect_dataset = models.MetadataChangeEventClass(
         proposedSnapshot=models.DatasetSnapshotClass(
             urn="urn:li:dataset:(urn:li:dataPlatform:bigquery,example1,PROD)",
             aspects=[models.StatusClass(removed=False)],
         ),
     )
     # Dataset with an existing owner
-    with_owner_aspect = models.MetadataChangeEventClass(
+    with_owner_aspect_dataset = models.MetadataChangeEventClass(
         proposedSnapshot=models.DatasetSnapshotClass(
             urn="urn:li:dataset:(urn:li:dataPlatform:bigquery,example2,PROD)",
             aspects=[
@@ -1148,8 +1171,7 @@ def fake_get_aspect(
         ),
     )
 
-    # Not a dataset, should be ignored
-    not_a_dataset = models.MetadataChangeEventClass(
+    datajob = models.MetadataChangeEventClass(
         proposedSnapshot=models.DataJobSnapshotClass(
             urn="urn:li:dataJob:(urn:li:dataFlow:(airflow,dag_abc,PROD),task_456)",
             aspects=[
@@ -1163,9 +1185,9 @@ def fake_get_aspect(
     )
 
     inputs = [
-        no_owner_aspect,
-        with_owner_aspect,
-        not_a_dataset,
+        no_owner_aspect_dataset,
+        with_owner_aspect_dataset,
+        datajob,
         EndOfStream(),
     ]
 
@@ -1176,6 +1198,7 @@ def fake_get_aspect(
                 "rules": {
                     ".*example1.*": [builder.make_user_urn("person1")],
                     ".*example2.*": [builder.make_user_urn("person2")],
+                    ".*dag_abc.*": [builder.make_user_urn("person3")],
                 }
             },
             "ownership_type": "DATAOWNER",
@@ -1188,9 +1211,9 @@ def fake_get_aspect(
         transformer.transform([RecordEnvelope(input, metadata={}) for input in inputs])
     )
 
-    assert len(outputs) == len(inputs) + 3
+    assert len(outputs) == len(inputs) + 4
 
-    # Check the first entry.
+    # Check that DatasetSnapshotClass has not changed
     assert inputs[0] == outputs[0].record
 
     # Check the ownership for the first dataset (example1)
@@ -1217,12 +1240,16 @@ def fake_get_aspect(
         ]
     )
 
+    third_ownership_aspect = outputs[4].record.aspect
+    assert third_ownership_aspect
+    assert len(third_ownership_aspect.owners) == 1  # new for datajob
+
     # Check container ownerships
     for i in range(2):
-        container_ownership_aspect = outputs[i + 4].record.aspect
+        container_ownership_aspect = outputs[i + 5].record.aspect
         assert container_ownership_aspect
         ownership = json.loads(container_ownership_aspect.value.decode("utf-8"))
-        assert len(ownership) == 2
+        assert len(ownership) == 3
         assert ownership[0]["value"]["owner"] == builder.make_user_urn("person1")
         assert ownership[1]["value"]["owner"] == builder.make_user_urn("person2")