amoghrajesh commented on code in PR #67376: URL: https://github.com/apache/airflow/pull/67376#discussion_r3294524601
########## airflow-core/src/airflow/example_dags/example_task_state.py: ########## @@ -0,0 +1,90 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, +# software distributed under the License is distributed on an +# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +# KIND, either express or implied. See the License for the +# specific language governing permissions and limitations +# under the License. +""" +Example Dag that demonstrates the canonical AIP-103 task state pattern: a task submits a +long-running external job, stores the job handle in task state, and polls +until completion. + +The first attempt always fails after submitting the job (simulating a +worker crash / connection to external system being lost). The retry reads +the job ID from task state and reattaches to the already-running job instead +of submitting a duplicate. +""" + +from __future__ import annotations + +import json +import random +import string +import time +from datetime import datetime, timedelta, timezone + +from airflow.sdk import DAG, task +from airflow.sdk.execution_time.context import NEVER_EXPIRE + + +def _submit_job() -> str: + """Simulate submitting an external job. Returns a job ID.""" + time.sleep(1) + return "job-" + "".join(random.choices(string.ascii_lowercase + string.digits, k=8)) + + +def _poll_job(job_id: str) -> dict: + """Simulate polling an external job until complete.""" + time.sleep(1) + return {"job_id": job_id, "status": "succeeded", "rows_written": random.randint(100, 10_000)} + + +with DAG( + dag_id="example_task_state", + schedule=None, + start_date=datetime(2026, 1, 1), + catchup=False, + tags=["example", "task-state"], + doc_md=__doc__, +): + + @task(retries=2, retry_delay=timedelta(seconds=5)) + def run_job(**context): + ts = context["task_state"] Review Comment: Yep, realised and pushed a fix for this: [comments from jake](https://github.com/apache/airflow/pull/67376/commits/d05d893751533eb1557c41ccdef81377f9a91fad) -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
