Getting *** on things that should be named airflow

[kajanajustin]

Apache Airflow version

Other Airflow 2 version (please specify below)

What happened

Hi Team,

Currently, I am running docker-compose using the airflow:2.5.3-python3.8 image. Currently, when I go running my dag everything looks good except I am getting these ugly asterisks everywhere the word 'airflow' is supposed to be. I double-checked my config and paths and still have the same outcome. Please let me know if there is something I may be doing incorrectly.

here are the logs below

*** Reading local file: /opt/airflow/logs/dag_id=heartbeat/run_id=manual__2023-06-27T00:25:10.808687+00:00/task_id=heartbeat/attempt=1.log
[2023-06-26, 20:25:22 EDT] {taskinstance.py:1090} INFO - Dependencies all met for dep_context=non-requeueable deps ti=<TaskInstance: heartbeat.heartbeat manual__2023-06-27T00:25:10.808687+00:00 [queued]>
[2023-06-26, 20:25:22 EDT] {taskinstance.py:1090} INFO - Dependencies all met for dep_context=requeueable deps ti=<TaskInstance: heartbeat.heartbeat manual__2023-06-27T00:25:10.808687+00:00 [queued]>
[2023-06-26, 20:25:22 EDT] {taskinstance.py:1288} INFO - 
--------------------------------------------------------------------------------
[2023-06-26, 20:25:22 EDT] {taskinstance.py:1289} INFO - Starting attempt 1 of 1
[2023-06-26, 20:25:22 EDT] {taskinstance.py:1290} INFO - 
--------------------------------------------------------------------------------
[2023-06-26, 20:25:22 EDT] {taskinstance.py:1309} INFO - Executing <Task(PipelineOperator): heartbeat> on 2023-06-27 00:25:10.808687+00:00
[2023-06-26, 20:25:22 EDT] {standard_task_runner.py:55} INFO - Started process 21159 to run task
[2023-06-26, 20:25:22 EDT] {standard_task_runner.py:82} INFO - Running: ['***', 'tasks', 'run', 'heartbeat', 'heartbeat', 'manual__2023-06-27T00:25:10.808687+00:00', '--job-id', '26', '--raw', '--subdir', 'DAGS_FOLDER/heartbeat.py', '--cfg-path', '/tmp/tmpp2vbdho7']
[2023-06-26, 20:25:22 EDT] {standard_task_runner.py:83} INFO - Job 26: Subtask heartbeat
[2023-06-26, 20:25:23 EDT] {task_command.py:389} INFO - Running <TaskInstance: heartbeat.heartbeat manual__2023-06-27T00:25:10.808687+00:00 [running]> on host c8908875256e
[2023-06-26, 20:25:23 EDT] {taskinstance.py:1516} INFO - Exporting the following env vars:
AIRFLOW_CTX_DAG_OWNER=***
AIRFLOW_CTX_DAG_ID=heartbeat
AIRFLOW_CTX_TASK_ID=heartbeat
AIRFLOW_CTX_EXECUTION_DATE=2023-06-27T00:25:10.808687+00:00
AIRFLOW_CTX_TRY_NUMBER=1
AIRFLOW_CTX_DAG_RUN_ID=manual__2023-06-27T00:25:10.808687+00:00
[2023-06-26, 20:25:23 EDT] {operators.py:514} INFO - Using common lib version [1.1.91].
[2023-06-26, 20:25:23 EDT] {operators.py:171} INFO - Building end_interval using data_interval_end: 2023-06-27T00:25:00+00:00, data_interval_type : SINCE_LAST_SUCCESS
[2023-06-26, 20:25:23 EDT] {operators.py:179} INFO - end_interval = 2023-06-27T00:25:00+00:00
[2023-06-26, 20:25:23 EDT] {logging_mixin.py:137} INFO - Run id for the Lineage API is being set to: 88562ae5-3511-37a6-a361-59ebb4b3e111
[2023-06-26, 20:25:23 EDT] {operators.py:139} INFO - Building start_interval using data_interval_start: 2023-06-27T00:20:00+00:00, prev_data_interval_end_success : None,data_interval_type : SINCE_LAST_SUCCESS
[2023-06-26, 20:25:23 EDT] {operators.py:166} INFO - start_interval = 2023-06-27T00:20:00+00:00
[2023-06-26, 20:25:23 EDT] {operators.py:171} INFO - Building end_interval using data_interval_end: 2023-06-27T00:25:00+00:00, data_interval_type : SINCE_LAST_SUCCESS
[2023-06-26, 20:25:23 EDT] {operators.py:179} INFO - end_interval = 2023-06-27T00:25:00+00:00
[2023-06-26, 20:25:23 EDT] {operators.py:611} INFO - Bash command configuration: /opt/***/run-pipeline-shared.sh general heartbeat/heartbeat.py

All of my other airflow servers don't have this issue, and I have checked to ensure that the sensitive_var_conn_names = False and hide_sensitive_var_conn_fields = False Not sure what else to do at this point in time....

What you think should happen instead

Instead, the *** should be shown as airflow

How to reproduce

Utilizing docker-compose and the airflow:2.5.3-python3.8 image, essentially use any basic dag and have airflow pick up on it then go to logs and see the asterisks

Operating System

Debian GNU/Linux 11 (bullseye)

Versions of Apache Airflow Providers

No response

Deployment

Docker-Compose

Deployment details

No response

Anything else

No response

Are you willing to submit PR?

• Yes I am willing to submit a PR!

Code of Conduct

• I agree to follow this project's Code of Conduct

[boring-cyborg]

Thanks for opening your first issue here! Be sure to follow the issue template! If you are willing to raise PR to address this issue please do so, no need to wait for approval.

[kajanajustin]

Here is my DAG

from datetime import timedelta
from datetime import datetime
from airflow import DAG
from edm_ngage.airflow_common import operators


doc_md = """
### Redshift Heartbeat
#### Documentation
- [README](https://github.ancestry.com/Ancestry/edm-ngage-airflow/tree/master/src/jobs/heartbeat)
- [Airflow Development Documentation](https://confluence.ancestry.int/display/DATAPLAT/AirFlow+Development)
"""


DEFAULT_ARGS = {
    'retries': 0,
    'retry_delay': timedelta(minutes=1),
    'params': {'alert_contact':['@U02CJCB9N9J']}
}

dag = DAG(
    'heartbeat',
    default_args=DEFAULT_ARGS,
    description='Heartbeat pipeline to show Airflow is running.',
    schedule_interval='*/5 * * * *',
    max_active_runs=1,
    concurrency=1,
    start_date=datetime(2021,10,21),
    tags=['xxVERSION_TAGxx', 'from_redshift', 'ngage', 'idempotent', 'wont_run_again'],
    catchup=False,
    doc_md=doc_md
)

run_heartbeat = operators.PipelineOperator(
    task_id = 'heartbeat',
    lineage=False,
    run_again=False,
    data_interval_type="SINCE_LAST_SUCCESS",
    venv_name='general',
    alt_run_script='/opt/airflow/run-pipeline-shared.sh',
    execution_timeout=timedelta(minutes=10),
    dag=dag)

run_heartbeat