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77 lines
2.5 KiB
Python
77 lines
2.5 KiB
Python
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# Copyright 2022 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 retrieve all logs from the tasks of a last DAG run
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"""
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from typing import List
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from airflow.models import DagModel, TaskInstance
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from airflow.utils.log.log_reader import TaskLogReader
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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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LOG_METADATA = {
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"download_logs": True,
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}
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def last_dag_logs(dag_id: str) -> Response:
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"""
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Validate that the DAG is registered by Airflow and have at least one Run.
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If exists, returns all logs for each task instance of the last DAG run.
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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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dag_model = DagModel.get_dagmodel(dag_id=dag_id)
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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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last_dag_run = dag_model.get_last_dagrun(include_externally_triggered=True)
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if not last_dag_run:
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return ApiResponse.not_found(f"No DAG run found for {dag_id}.")
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task_instances: List[TaskInstance] = last_dag_run.get_task_instances()
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if not task_instances:
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return ApiResponse.not_found(
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f"Cannot find any task instance for the last DagRun of {dag_id}."
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)
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response = {}
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for task_instance in task_instances:
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# Pick up the _try_number, otherwise they are adding 1
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try_number = task_instance._try_number # pylint: disable=protected-access
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task_log_reader = TaskLogReader()
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if not task_log_reader.supports_read:
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return ApiResponse.server_error(
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f"Task Log Reader does not support read logs."
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)
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logs = "\n".join(
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list(
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task_log_reader.read_log_stream(
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ti=task_instance,
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try_number=try_number,
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metadata=LOG_METADATA,
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)
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)
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)
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response[task_instance.task_id] = ResponseFormat.b64_gzip_compression(logs)
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return ApiResponse.success(response)
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