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https://github.com/open-metadata/OpenMetadata.git
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d91273a30d
* wip * feat: trigger external apps with override config - Added in openmetadata-airflow-apis functionality to trigger DAG with feature. - Modified openmetadata-airflow-apis application runner to accept override config from params. - Added overloaded runPipeline with `Map<String,Object> config` to allow triggering apps with configuration. We might want to expand this to all ingestion pipelines. For now its just for apps. - Implemented an example external app that can be used to test functionality of external apps. The app can be enabled by setting the `ENABLE_APP_HelloPipelines=true` environment variable. * fix class doc for application * fixed README for airflow apis * fixes * set HelloPipelines to disabeld by default * fixed basedpywright errros * fixed app schema * reduced airflow client runPipeline to an overload with null config removed duplicate call to runPipeline in AppResource * Update openmetadata-docs/content/v1.7.x-SNAPSHOT/developers/applications/index.md Co-authored-by: Matias Puerta <matias@getcollate.io> * deleted documentation file --------- Co-authored-by: Matias Puerta <matias@getcollate.io>
38 lines
1.3 KiB
Python
38 lines
1.3 KiB
Python
# Copyright 2025 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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Module containing the logic to trigger a DAG
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"""
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from typing import Optional
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try:
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from airflow.api.common.trigger_dag import trigger_dag
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except ImportError:
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from airflow.api.common.experimental.trigger_dag import trigger_dag
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from airflow.utils import timezone
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from flask import Response
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from openmetadata_managed_apis.api.response import ApiResponse
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def trigger(
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dag_id: str, run_id: Optional[str], conf: Optional[dict] = None
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) -> Response:
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dag_run = trigger_dag(
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dag_id=dag_id,
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run_id=run_id,
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execution_date=timezone.utcnow(),
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conf=conf,
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)
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return ApiResponse.success(
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{"message": f"Workflow [{dag_id}] has been triggered {dag_run}"}
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)
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