mirror of
https://github.com/open-metadata/OpenMetadata.git
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f33003485e
* Added support for 'Metadata Service' connectors * Fixed failing unit tests * Removed delete button for 'Metadata Service' connector of type OpenMetadataServer * Code optimization for SelectServiceType component * Fixed errors arrived due to backend changes related to OpenMetadata Services * init reindex * Added additional step for adding Metadata to ES configs while creating ingestion pipeline for Metadata Service * Add ES reindex * Add ES reindex * Format * Format * Rename service * Pick service name from IngestionPipeline * fix ui conflicts Co-authored-by: Aniket Katkar <aniketkatkar97@gmail.com> Co-authored-by: Chirag Madlani <12962843+chirag-madlani@users.noreply.github.com>
69 lines
2.3 KiB
Python
69 lines
2.3 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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Data Insights 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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build_dag,
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build_source,
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data_insight_workflow,
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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.metadataIngestion.workflow import (
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LogLevels,
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OpenMetadataWorkflowConfig,
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Processor,
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WorkflowConfig,
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)
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def build_data_insight_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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workflow_config = OpenMetadataWorkflowConfig(
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source=build_source(ingestion_pipeline),
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# ingestion_pipeline.service.serviceConnection.elasticsearch
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sink=ingestion_pipeline.openMetadataServerConnection.elasticsSearch,
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processor=Processor(
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type="data-insight-processor",
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config={},
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),
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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_data_insight_dag(ingestion_pipeline: IngestionPipeline) -> DAG:
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"""Build a simple Data Insight DAG"""
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workflow_config = build_data_insight_workflow_config(ingestion_pipeline)
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dag = build_dag(
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task_name="data_insight_task",
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ingestion_pipeline=ingestion_pipeline,
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workflow_config=workflow_config,
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workflow_fn=data_insight_workflow,
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)
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return dag
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