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Posted to commits@airflow.apache.org by GitBox <gi...@apache.org> on 2022/03/10 12:54:19 UTC
[GitHub] [airflow] jyotsa09 opened a new issue #22144: Deleted task logs appended to new logs for scheduled runs
jyotsa09 opened a new issue #22144:
URL: https://github.com/apache/airflow/issues/22144
### Apache Airflow version
main (development)
### What happened
Deleted task logs appended to new logs for scheduled runs
### What you expected to happen
Only new logs should display
### How to reproduce
1. Triggered a scheduled run
2. Once completed delete the dag from UI
3. Triggered the same dag
4. Then check logs
### Operating System
Debian buster
### Versions of Apache Airflow Providers
_No response_
### Deployment
Astronomer
### Deployment details
astro dev start
### Anything else
```
from airflow import DAG
from airflow.operators.python_operator import PythonOperator
from airflow.operators.dummy_operator import DummyOperator
from datetime import datetime, timedelta
from airflow.utils.log.log_reader import TaskLogReader
from pprint import pprint
default_args = {
"owner": "airflow",
"depends_on_past": False,
"start_date": datetime(2022, 3, 5),
"email_on_failure": False,
"email_on_retry": False,
# "retries": 1,
"retry_delay": timedelta(minutes=5),
}
def print_fun(message):
"""
Insert arbitrary python function here
"""
return message
def read_logs(**context):
dagrun = context["dag_run"]
task_instance = dagrun.get_task_instance("python_function_hello")
logs, _ = TaskLogReader().read_log_chunks(task_instance, 1, {"download_logs": True})
assert "Returned value not shown" not in logs[0][0][1]
assert "hello" in logs[0][0][1]
task_instance = dagrun.get_task_instance("python_function_bye")
logs, _ = TaskLogReader().read_log_chunks(task_instance, 1, {"download_logs": True})
assert "Returned value not shown" in logs[0][0][1]
dag = DAG(
"example_python_operator_test",
max_active_runs=3,
catchup=True,
schedule_interval="@daily",
default_args=default_args,
tags=["testim"],
)
with dag:
start = DummyOperator(task_id="start")
t1 = PythonOperator(
task_id="python_function_hello",
python_callable=print_fun,
show_return_value_in_logs=True,
op_args=["hello"],
dag=dag,
)
t2 = PythonOperator(
task_id="python_function_bye",
python_callable=print_fun,
show_return_value_in_logs=False,
op_args=["bye"],
dag=dag,
)
t3 = PythonOperator(
task_id="function_read_logs",
python_callable=read_logs,
dag=dag,
)
start >> t1 >> t2 >> t3
```
### Are you willing to submit PR?
- [ ] Yes I am willing to submit a PR!
### Code of Conduct
- [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)
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