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fix(gitignore): move metadata-ingestion ignores to its own folder (#3365)

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Dexter Lee 2021-10-11 15:30:52 -07:00 committed by GitHub
parent ac06666ebd
commit 2580f71474
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7 changed files with 3 additions and 23447 deletions
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1
.gitignore vendored
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@ -15,7 +15,6 @@
**/src/mainGenerated*
**/src/testGenerated*
metadata-events/mxe-registration/src/main/resources/**/*.avsc
metadata-ingestion/src/datahub/metadata/
# Java
.java-version

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metadata-ingestion/.gitignore vendored
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@ -134,3 +134,6 @@ dmypy.json
# Pyre type checker
.pyre/
# Generated classes
src/datahub/metadata/

19
metadata-ingestion/src/datahub/metadata/com/linkedin/pegasus2avro/identity/__init__.py
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@ -1,19 +0,0 @@
# flake8: noqa
# This file is autogenerated by /metadata-ingestion/scripts/avro_codegen.py
# Do not modify manually!
# fmt: off
from .....schema_classes import CorpGroupInfoClass
from .....schema_classes import CorpUserEditableInfoClass
from .....schema_classes import CorpUserInfoClass
from .....schema_classes import CorpUserStatusClass
from .....schema_classes import GroupMembershipClass
CorpGroupInfo = CorpGroupInfoClass
CorpUserEditableInfo = CorpUserEditableInfoClass
CorpUserInfo = CorpUserInfoClass
CorpUserStatus = CorpUserStatusClass
GroupMembership = GroupMembershipClass
# fmt: on

6623
metadata-ingestion/src/datahub/metadata/schema.avsc
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10713
metadata-ingestion/src/datahub/metadata/schema_classes.py
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5758
metadata-ingestion/src/datahub/metadata/schemas/MetadataChangeEvent.avsc
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333
metadata-ingestion/src/datahub/metadata/schemas/__init__.py
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@ -1,333 +0,0 @@
# flake8: noqa
# This file is autogenerated by /metadata-ingestion/scripts/avro_codegen.py
# Do not modify manually!
# fmt: off
import functools
import pathlib
def _load_schema(schema_name: str) -> str:
return (pathlib.Path(__file__).parent / f"{schema_name}.avsc").read_text()
@functools.lru_cache(maxsize=None)
def getMetadataChangeEventSchema() -> str:
return _load_schema("MetadataChangeEvent")
@functools.lru_cache(maxsize=None)
def getMetadataChangeProposalSchema() -> str:
return _load_schema("MetadataChangeProposal")
@functools.lru_cache(maxsize=None)
def getUsageAggregationSchema() -> str:
return _load_schema("UsageAggregation")
@functools.lru_cache(maxsize=None)
def getChartInfoSchema() -> str:
return _load_schema("ChartInfo")
@functools.lru_cache(maxsize=None)
def getChartQuerySchema() -> str:
return _load_schema("ChartQuery")
@functools.lru_cache(maxsize=None)
def getEditableChartPropertiesSchema() -> str:
return _load_schema("EditableChartProperties")
@functools.lru_cache(maxsize=None)
def getBrowsePathsSchema() -> str:
return _load_schema("BrowsePaths")
@functools.lru_cache(maxsize=None)
def getCostSchema() -> str:
return _load_schema("Cost")
@functools.lru_cache(maxsize=None)
def getDeprecationSchema() -> str:
return _load_schema("Deprecation")
@functools.lru_cache(maxsize=None)
def getGlobalTagsSchema() -> str:
return _load_schema("GlobalTags")
@functools.lru_cache(maxsize=None)
def getGlossaryTermsSchema() -> str:
return _load_schema("GlossaryTerms")
@functools.lru_cache(maxsize=None)
def getInstitutionalMemorySchema() -> str:
return _load_schema("InstitutionalMemory")
@functools.lru_cache(maxsize=None)
def getOwnershipSchema() -> str:
return _load_schema("Ownership")
@functools.lru_cache(maxsize=None)
def getStatusSchema() -> str:
return _load_schema("Status")
@functools.lru_cache(maxsize=None)
def getSubTypesSchema() -> str:
return _load_schema("SubTypes")
@functools.lru_cache(maxsize=None)
def getDashboardInfoSchema() -> str:
return _load_schema("DashboardInfo")
@functools.lru_cache(maxsize=None)
def getEditableDashboardPropertiesSchema() -> str:
return _load_schema("EditableDashboardProperties")
@functools.lru_cache(maxsize=None)
def getDataFlowInfoSchema() -> str:
return _load_schema("DataFlowInfo")
@functools.lru_cache(maxsize=None)
def getDataJobInfoSchema() -> str:
return _load_schema("DataJobInfo")
@functools.lru_cache(maxsize=None)
def getDataJobInputOutputSchema() -> str:
return _load_schema("DataJobInputOutput")
@functools.lru_cache(maxsize=None)
def getEditableDataFlowPropertiesSchema() -> str:
return _load_schema("EditableDataFlowProperties")
@functools.lru_cache(maxsize=None)
def getEditableDataJobPropertiesSchema() -> str:
return _load_schema("EditableDataJobProperties")
@functools.lru_cache(maxsize=None)
def getDataPlatformInfoSchema() -> str:
return _load_schema("DataPlatformInfo")
@functools.lru_cache(maxsize=None)
def getDataProcessInfoSchema() -> str:
return _load_schema("DataProcessInfo")
@functools.lru_cache(maxsize=None)
def getDatasetDeprecationSchema() -> str:
return _load_schema("DatasetDeprecation")
@functools.lru_cache(maxsize=None)
def getDatasetProfileSchema() -> str:
return _load_schema("DatasetProfile")
@functools.lru_cache(maxsize=None)
def getDatasetPropertiesSchema() -> str:
return _load_schema("DatasetProperties")
@functools.lru_cache(maxsize=None)
def getDatasetUpstreamLineageSchema() -> str:
return _load_schema("DatasetUpstreamLineage")
@functools.lru_cache(maxsize=None)
def getDatasetUsageStatisticsSchema() -> str:
return _load_schema("DatasetUsageStatistics")
@functools.lru_cache(maxsize=None)
def getEditableDatasetPropertiesSchema() -> str:
return _load_schema("EditableDatasetProperties")
@functools.lru_cache(maxsize=None)
def getUpstreamLineageSchema() -> str:
return _load_schema("UpstreamLineage")
@functools.lru_cache(maxsize=None)
def getGlossaryNodeInfoSchema() -> str:
return _load_schema("GlossaryNodeInfo")
@functools.lru_cache(maxsize=None)
def getGlossaryRelatedTermsSchema() -> str:
return _load_schema("GlossaryRelatedTerms")
@functools.lru_cache(maxsize=None)
def getGlossaryTermInfoSchema() -> str:
return _load_schema("GlossaryTermInfo")
@functools.lru_cache(maxsize=None)
def getCorpGroupInfoSchema() -> str:
return _load_schema("CorpGroupInfo")
@functools.lru_cache(maxsize=None)
def getCorpUserEditableInfoSchema() -> str:
return _load_schema("CorpUserEditableInfo")
@functools.lru_cache(maxsize=None)
def getCorpUserInfoSchema() -> str:
return _load_schema("CorpUserInfo")
@functools.lru_cache(maxsize=None)
def getCorpUserStatusSchema() -> str:
return _load_schema("CorpUserStatus")
@functools.lru_cache(maxsize=None)
def getGroupMembershipSchema() -> str:
return _load_schema("GroupMembership")
@functools.lru_cache(maxsize=None)
def getChartKeySchema() -> str:
return _load_schema("ChartKey")
@functools.lru_cache(maxsize=None)
def getCorpGroupKeySchema() -> str:
return _load_schema("CorpGroupKey")
@functools.lru_cache(maxsize=None)
def getCorpUserKeySchema() -> str:
return _load_schema("CorpUserKey")
@functools.lru_cache(maxsize=None)
def getDashboardKeySchema() -> str:
return _load_schema("DashboardKey")
@functools.lru_cache(maxsize=None)
def getDataFlowKeySchema() -> str:
return _load_schema("DataFlowKey")
@functools.lru_cache(maxsize=None)
def getDataHubPolicyKeySchema() -> str:
return _load_schema("DataHubPolicyKey")
@functools.lru_cache(maxsize=None)
def getDataJobKeySchema() -> str:
return _load_schema("DataJobKey")
@functools.lru_cache(maxsize=None)
def getDataPlatformKeySchema() -> str:
return _load_schema("DataPlatformKey")
@functools.lru_cache(maxsize=None)
def getDataProcessKeySchema() -> str:
return _load_schema("DataProcessKey")
@functools.lru_cache(maxsize=None)
def getDatasetKeySchema() -> str:
return _load_schema("DatasetKey")
@functools.lru_cache(maxsize=None)
def getGlossaryNodeKeySchema() -> str:
return _load_schema("GlossaryNodeKey")
@functools.lru_cache(maxsize=None)
def getGlossaryTermKeySchema() -> str:
return _load_schema("GlossaryTermKey")
@functools.lru_cache(maxsize=None)
def getMLFeatureKeySchema() -> str:
return _load_schema("MLFeatureKey")
@functools.lru_cache(maxsize=None)
def getMLFeatureTableKeySchema() -> str:
return _load_schema("MLFeatureTableKey")
@functools.lru_cache(maxsize=None)
def getMLModelDeploymentKeySchema() -> str:
return _load_schema("MLModelDeploymentKey")
@functools.lru_cache(maxsize=None)
def getMLModelGroupKeySchema() -> str:
return _load_schema("MLModelGroupKey")
@functools.lru_cache(maxsize=None)
def getMLModelKeySchema() -> str:
return _load_schema("MLModelKey")
@functools.lru_cache(maxsize=None)
def getMLPrimaryKeyKeySchema() -> str:
return _load_schema("MLPrimaryKeyKey")
@functools.lru_cache(maxsize=None)
def getSchemaFieldKeySchema() -> str:
return _load_schema("SchemaFieldKey")
@functools.lru_cache(maxsize=None)
def getTagKeySchema() -> str:
return _load_schema("TagKey")
@functools.lru_cache(maxsize=None)
def getCaveatsAndRecommendationsSchema() -> str:
return _load_schema("CaveatsAndRecommendations")
@functools.lru_cache(maxsize=None)
def getEthicalConsiderationsSchema() -> str:
return _load_schema("EthicalConsiderations")
@functools.lru_cache(maxsize=None)
def getEvaluationDataSchema() -> str:
return _load_schema("EvaluationData")
@functools.lru_cache(maxsize=None)
def getIntendedUseSchema() -> str:
return _load_schema("IntendedUse")
@functools.lru_cache(maxsize=None)
def getMLFeaturePropertiesSchema() -> str:
return _load_schema("MLFeatureProperties")
@functools.lru_cache(maxsize=None)
def getMLFeatureTablePropertiesSchema() -> str:
return _load_schema("MLFeatureTableProperties")
@functools.lru_cache(maxsize=None)
def getMLHyperParamSchema() -> str:
return _load_schema("MLHyperParam")
@functools.lru_cache(maxsize=None)
def getMLMetricSchema() -> str:
return _load_schema("MLMetric")
@functools.lru_cache(maxsize=None)
def getMLModelDeploymentPropertiesSchema() -> str:
return _load_schema("MLModelDeploymentProperties")
@functools.lru_cache(maxsize=None)
def getMLModelFactorPromptsSchema() -> str:
return _load_schema("MLModelFactorPrompts")
@functools.lru_cache(maxsize=None)
def getMLModelGroupPropertiesSchema() -> str:
return _load_schema("MLModelGroupProperties")
@functools.lru_cache(maxsize=None)
def getMLModelPropertiesSchema() -> str:
return _load_schema("MLModelProperties")
@functools.lru_cache(maxsize=None)
def getMLPrimaryKeyPropertiesSchema() -> str:
return _load_schema("MLPrimaryKeyProperties")
@functools.lru_cache(maxsize=None)
def getMetricsSchema() -> str:
return _load_schema("Metrics")
@functools.lru_cache(maxsize=None)
def getQuantitativeAnalysesSchema() -> str:
return _load_schema("QuantitativeAnalyses")
@functools.lru_cache(maxsize=None)
def getSourceCodeSchema() -> str:
return _load_schema("SourceCode")
@functools.lru_cache(maxsize=None)
def getTrainingDataSchema() -> str:
return _load_schema("TrainingData")
@functools.lru_cache(maxsize=None)
def getDataHubPolicyInfoSchema() -> str:
return _load_schema("DataHubPolicyInfo")
@functools.lru_cache(maxsize=None)
def getEditableSchemaMetadataSchema() -> str:
return _load_schema("EditableSchemaMetadata")
@functools.lru_cache(maxsize=None)
def getSchemaMetadataSchema() -> str:
return _load_schema("SchemaMetadata")
@functools.lru_cache(maxsize=None)
def getTagPropertiesSchema() -> str:
return _load_schema("TagProperties")
# fmt: on