chore(ingest): set isort combine_as_imports

metadata-ingestion/pyproject.toml

@@ -12,6 +12,7 @@ include = '\.pyi?$'
 target-version = ['py36', 'py37', 'py38']
 
 [tool.isort]
+combine_as_imports = true
 indent = '    '
 profile = 'black'
 sections = 'FUTURE,STDLIB,THIRDPARTY,FIRSTPARTY,LOCALFOLDER'

metadata-ingestion/scripts/modeldocgen.py

@@ -20,7 +20,6 @@
 from datahub.ingestion.api.sink import NoopWriteCallback
 from datahub.ingestion.extractor.schema_util import avro_schema_to_mce_fields
 from datahub.ingestion.sink.file import FileSink, FileSinkConfig
-from datahub.metadata.com.linkedin.pegasus2avro.schema import SchemaField
 from datahub.metadata.schema_classes import (
     BrowsePathsClass,
     ChangeTypeClass,
@@ -30,6 +29,7 @@
     GlobalTagsClass,
     MetadataChangeEventClass,
     OtherSchemaClass,
+    SchemaFieldClass as SchemaField,
     SchemaFieldDataTypeClass,
     SchemaMetadataClass,
     StringTypeClass,

metadata-ingestion/src/datahub/emitter/kafka_emitter.py

@@ -10,9 +10,9 @@
 from datahub.configuration.common import ConfigModel, ConfigurationError
 from datahub.configuration.kafka import KafkaProducerConnectionConfig
 from datahub.emitter.mcp import MetadataChangeProposalWrapper
-from datahub.metadata.com.linkedin.pegasus2avro.mxe import (
-    MetadataChangeEvent,
-    MetadataChangeProposal,
+from datahub.metadata.schema_classes import (
+    MetadataChangeEventClass as MetadataChangeEvent,
+    MetadataChangeProposalClass as MetadataChangeProposal,
 )
 from datahub.metadata.schemas import (
     getMetadataChangeEventSchema,

metadata-ingestion/src/datahub/emitter/mce_builder.py

@@ -12,7 +12,6 @@
 
 from datahub.configuration.source_common import DEFAULT_ENV as DEFAULT_ENV_CONFIGURATION
 from datahub.emitter.serialization_helper import pre_json_transform
-from datahub.metadata.com.linkedin.pegasus2avro.common import GlossaryTerms
 from datahub.metadata.schema_classes import (
     AuditStampClass,
     ContainerKeyClass,
@@ -21,6 +20,7 @@
     DatasetSnapshotClass,
     GlobalTagsClass,
     GlossaryTermAssociationClass,
+    GlossaryTermsClass as GlossaryTerms,
     MetadataChangeEventClass,
     OwnerClass,
     OwnershipClass,
@@ -31,8 +31,8 @@
     TagAssociationClass,
     UpstreamClass,
     UpstreamLineageClass,
+    _Aspect as AspectAbstract,
 )
-from datahub.metadata.schema_classes import _Aspect as AspectAbstract
 from datahub.utilities.urns.dataset_urn import DatasetUrn
 
 logger = logging.getLogger(__name__)

metadata-ingestion/src/datahub/ingestion/source/aws/glue.py

@@ -1,8 +1,7 @@
 import logging
 import typing
 from collections import defaultdict
-from dataclasses import dataclass
-from dataclasses import field as dataclass_field
+from dataclasses import dataclass, field as dataclass_field
 from typing import (
     Any,
     Dict,

metadata-ingestion/src/datahub/ingestion/source/looker/looker_common.py

@@ -1,8 +1,7 @@
 import datetime
 import logging
 import re
-from dataclasses import dataclass
-from dataclasses import field as dataclasses_field
+from dataclasses import dataclass, field as dataclasses_field
 from enum import Enum
 from typing import Dict, Iterable, List, Optional, Tuple, Union
 

metadata-ingestion/src/datahub/ingestion/source/looker/lookml_source.py

@@ -4,9 +4,7 @@
 import pathlib
 import re
 import sys
-from dataclasses import dataclass
-from dataclasses import field as dataclass_field
-from dataclasses import replace
+from dataclasses import dataclass, field as dataclass_field, replace
 from typing import Any, Dict, Iterable, List, Optional, Set, Tuple, Type
 
 import pydantic

metadata-ingestion/src/datahub/ingestion/source/powerbi.py

@@ -5,8 +5,7 @@
 #########################################################
 
 import logging
-from dataclasses import dataclass
-from dataclasses import field as dataclass_field
+from dataclasses import dataclass, field as dataclass_field
 from enum import Enum
 from time import sleep
 from typing import Any, Dict, Iterable, List, Optional, Tuple

metadata-ingestion/src/datahub/ingestion/source/s3/profiling.py

@@ -19,8 +19,8 @@
 )
 from pyspark.sql import SparkSession
 from pyspark.sql.functions import col, count, isnan, when
-from pyspark.sql.types import DataType as SparkDataType
 from pyspark.sql.types import (
+    DataType as SparkDataType,
     DateType,
     DecimalType,
     DoubleType,

metadata-ingestion/src/datahub/ingestion/source/schema_inference/object.py

@@ -1,7 +1,5 @@
 from collections import Counter
-from typing import Any
-from typing import Counter as CounterType
-from typing import Dict, Sequence, Tuple, Union
+from typing import Any, Counter as CounterType, Dict, Sequence, Tuple, Union
 
 from mypy_extensions import TypedDict
 

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

@@ -1,6 +1,6 @@
 import logging
 from abc import ABCMeta, abstractmethod
-from typing import Any, Dict, Iterable, List, Optional, Type, Union, cast
+from typing import Any, Dict, Iterable, List, Optional, Type, Union
 
 import datahub.emitter.mce_builder
 from datahub.emitter.mce_builder import Aspect
@@ -30,7 +30,6 @@
     StatusClass,
     UpstreamLineageClass,
     ViewPropertiesClass,
-    _Aspect,
 )
 from datahub.utilities.urns.urn import Urn
 
@@ -213,12 +212,12 @@ def _transform_or_record_mcp(
         # remember stuff
         assert envelope.record.entityUrn
         assert isinstance(self, SingleAspectTransformer)
-        if envelope.record.aspectName == self.aspect_name():
+        if envelope.record.aspectName == self.aspect_name() and envelope.record.aspect:
             # we have a match on the aspect name, call the specific transform function
             transformed_aspect = self.transform_aspect(
                 entity_urn=envelope.record.entityUrn,
                 aspect_name=envelope.record.aspectName,
-                aspect=cast(_Aspect, envelope.record.aspect),
+                aspect=envelope.record.aspect,
             )
             self._mark_processed(envelope.record.entityUrn)
             if transformed_aspect is None: