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57 lines
1.8 KiB
Python
57 lines
1.8 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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Module containing the logic to check a DAG status
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"""
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import json
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from airflow import settings
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from airflow.models import DagModel, DagRun
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from airflow.utils.state import DagRunState
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from flask import Response
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from openmetadata_managed_apis.api.response import ApiResponse, ResponseFormat
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def status(dag_id: str, only_queued: str = None) -> Response:
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"""
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Validate that the DAG is registered by Airflow.
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If exists, check the DagRun
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:param dag_id: DAG to find
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:return: API Response
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"""
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with settings.Session() as session:
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dag_model = session.query(DagModel).filter(DagModel.dag_id == dag_id).first()
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if not dag_model:
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return ApiResponse.not_found(f"DAG {dag_id} not found.")
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query = (
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session.query(DagRun)
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.filter(
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DagRun.dag_id == dag_id,
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)
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.order_by(DagRun.start_date.desc())
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)
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if only_queued:
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query = query.filter(DagRun.state == DagRunState.QUEUED)
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runs = query.limit(10).all()
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formatted = [
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json.loads(ResponseFormat.format_dag_run_state(dag_run).json())
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for dag_run in runs
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]
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return ApiResponse.success(formatted)
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