mirror of
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* pydantic v2 * pydanticv2 * fix parser * fix annotated * fix model dumping * mysql ingestion * clean root models * clean root models * bump airflow * bump airflow * bump airflow * optionals * optionals * optionals * jdk * airflow migrate * fab provider * fab provider * fab provider * some more fixes * fixing tests and imports * model_dump and model_validate * model_dump and model_validate * model_dump and model_validate * union * pylint * pylint * integration tests * fix CostAnalysisReportData * integration tests * tests * missing defaults * missing defaults
93 lines
3.3 KiB
Python
93 lines
3.3 KiB
Python
# Copyright 2021 Collate
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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# http://www.apache.org/licenses/LICENSE-2.0
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""
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ElasticSearch reindex DAG function builder
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"""
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from airflow import DAG
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from openmetadata_managed_apis.workflows.ingestion.common import (
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ClientInitializationError,
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GetServiceException,
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build_dag,
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metadata_ingestion_workflow,
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)
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from metadata.generated.schema.entity.services.connections.metadata.metadataESConnection import (
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MetadataESConnection,
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)
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from metadata.generated.schema.entity.services.ingestionPipelines.ingestionPipeline import (
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IngestionPipeline,
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)
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from metadata.generated.schema.entity.services.metadataService import (
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MetadataConnection,
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MetadataService,
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)
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from metadata.generated.schema.metadataIngestion.workflow import (
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LogLevels,
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OpenMetadataWorkflowConfig,
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Sink,
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)
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from metadata.generated.schema.metadataIngestion.workflow import (
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Source as WorkflowSource,
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)
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from metadata.generated.schema.metadataIngestion.workflow import WorkflowConfig
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from metadata.ingestion.ometa.ometa_api import OpenMetadata
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def build_es_reindex_workflow_config(
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ingestion_pipeline: IngestionPipeline,
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) -> OpenMetadataWorkflowConfig:
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"""
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Given an airflow_pipeline, prepare the workflow config JSON
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"""
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try:
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metadata = OpenMetadata(config=ingestion_pipeline.openMetadataServerConnection)
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except Exception as exc:
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raise ClientInitializationError(f"Failed to initialize the client: {exc}")
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openmetadata_service: MetadataService = metadata.get_by_name(
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entity=MetadataService, fqn=ingestion_pipeline.service.fullyQualifiedName
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)
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if not openmetadata_service:
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raise GetServiceException(service_type="metadata", service_name="OpenMetadata")
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sink = Sink(type="metadata-rest", config={})
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workflow_config = OpenMetadataWorkflowConfig(
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source=WorkflowSource(
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type="metadata_elasticsearch",
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serviceName=ingestion_pipeline.service.fullyQualifiedName,
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serviceConnection=MetadataConnection(config=MetadataESConnection()),
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sourceConfig=ingestion_pipeline.sourceConfig,
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),
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sink=sink,
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workflowConfig=WorkflowConfig(
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loggerLevel=ingestion_pipeline.loggerLevel or LogLevels.INFO,
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openMetadataServerConfig=ingestion_pipeline.openMetadataServerConnection,
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),
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ingestionPipelineFQN=ingestion_pipeline.fullyQualifiedName.root,
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)
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return workflow_config
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def build_es_reindex_dag(ingestion_pipeline: IngestionPipeline) -> DAG:
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"""Build a simple Data Insight DAG"""
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workflow_config = build_es_reindex_workflow_config(ingestion_pipeline)
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dag = build_dag(
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task_name="elasticsearch_reindex_task",
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ingestion_pipeline=ingestion_pipeline,
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workflow_config=workflow_config,
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workflow_fn=metadata_ingestion_workflow,
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)
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return dag
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