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c522f14178
* Refactor output_handlers to a WorkflowOutputHandler class * Add old methods as deprecated to avoid breaking changes * Extract WorkflowInitErrorHandler from workflow_output_handler * Fix static checks * Fix tests * Fix tests * Update code based on comments from PR * Update comment
93 lines
2.8 KiB
Python
93 lines
2.8 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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Profiler DAG function builder
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"""
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import json
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from airflow import DAG
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from openmetadata_managed_apis.utils.logger import set_operator_logger
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from openmetadata_managed_apis.workflows.ingestion.common import build_dag, build_source
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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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Sink,
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WorkflowConfig,
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)
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from metadata.workflow.profiler import ProfilerWorkflow
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def profiler_workflow(workflow_config: OpenMetadataWorkflowConfig):
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"""
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Task that creates and runs the profiler workflow.
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The workflow_config gets cooked form the incoming
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ingestionPipeline.
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This is the callable used to create the PythonOperator
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"""
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set_operator_logger(workflow_config)
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config = json.loads(workflow_config.model_dump_json(exclude_defaults=False))
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workflow = ProfilerWorkflow.create(config)
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workflow.execute()
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workflow.raise_from_status()
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workflow.print_status()
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workflow.stop()
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def build_profiler_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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sink=Sink(
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type="metadata-rest",
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config={},
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),
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processor=Processor(
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type="orm-profiler",
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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_profiler_dag(ingestion_pipeline: IngestionPipeline) -> DAG:
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"""
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Build a simple metadata workflow DAG
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"""
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workflow_config = build_profiler_workflow_config(ingestion_pipeline)
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dag = build_dag(
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task_name="profiler_task",
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ingestion_pipeline=ingestion_pipeline,
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workflow_config=workflow_config,
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workflow_fn=profiler_workflow,
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)
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return dag
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