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OpenMetadata/openmetadata-docs/content/partials/v1.5/deployment/run-connectors-class.md
IceS2 c522f14178
MINOR: Refactor output_handlers to a WorkflowOutputHandler class (#17149) 
* 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
2024-07-29 09:20:34 +02:00

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Ingestion Workflow classes

We have different classes for different types of workflows. The logic is always the same, but you will need to change your import path. The rest of the method calls will remain the same.

For example, for the Metadata workflow we'll use:

import yaml

from metadata.workflow.metadata import MetadataWorkflow

def run():
    workflow_config = yaml.safe_load(CONFIG)
    workflow = MetadataWorkflow.create(workflow_config)
    workflow.execute()
    workflow.raise_from_status()
    workflow.print_status()
    workflow.stop()

The classes for each workflow type are:

  • Metadata: from metadata.workflow.metadata import MetadataWorkflow
  • Lineage: from metadata.workflow.metadata import MetadataWorkflow (same as metadata)
  • Usage: from metadata.workflow.usage import UsageWorkflow
  • dbt: from metadata.workflow.metadata import MetadataWorkflow
  • Profiler: from metadata.workflow.profiler import ProfilerWorkflow
  • Data Quality: from metadata.workflow.data_quality import TestSuiteWorkflow
  • Data Insights: from metadata.workflow.data_insight import DataInsightWorkflow
  • Elasticsearch Reindex: from metadata.workflow.metadata import MetadataWorkflow (same as metadata)