mirror of
https://github.com/open-metadata/OpenMetadata.git
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375e001dd9
* MINOR - Fix S3 logging from ingestion pipelines * Update generated TypeScript types * config * update s3 configurations for streamable logs * Update generated TypeScript types * update s3 configurations for streamable logs * update s3 configurations for streamable logs * update s3 configurations for streamable logs * SSE off by default * Update log retrieval to use s3 if ingestion runner has streamable logs enabled --------- Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com> Co-authored-by: Pablo Takara <pjt1991@gmail.com>
74 lines
2.2 KiB
Python
74 lines
2.2 KiB
Python
# Copyright 2022 Collate
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# Licensed under the Collate Community License, Version 1.0 (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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# https://github.com/open-metadata/OpenMetadata/blob/main/ingestion/LICENSE
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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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Metadata 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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build_workflow_config_property,
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metadata_ingestion_workflow,
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)
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try:
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pass
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except ModuleNotFoundError:
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pass
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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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OpenMetadataWorkflowConfig,
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Sink,
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)
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def build_dbt_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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source = build_source(ingestion_pipeline)
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source.type = "dbt" # Mark the source as dbt
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workflow_config = OpenMetadataWorkflowConfig(
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source=source,
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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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workflowConfig=build_workflow_config_property(ingestion_pipeline),
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ingestionPipelineFQN=ingestion_pipeline.fullyQualifiedName.root,
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enableStreamableLogs=ingestion_pipeline.enableStreamableLogs,
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)
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return workflow_config
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def build_dbt_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_dbt_workflow_config(ingestion_pipeline)
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dag = build_dag(
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task_name="dbt_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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