Taragolis opened a new issue, #35500: URL: https://github.com/apache/airflow/issues/35500
### Discussed in https://github.com/apache/airflow/discussions/35430 <div type='discussions-op-text'> <sup>Originally posted by **Gollum999** November 3, 2023</sup> ### Apache Airflow version 2.7.2 ### What happened On the "Details" tab on a DAGs "Grid" page, all numeric DAG attributes are rendered as timestamps instead of numbers. For example:  I have noticed this behavior with the following fields, though there may be more: * Max active runs * Max active tasks * Concurrency ### What you think should happen instead Numeric fields should be rendered as numbers. ### How to reproduce Go to any DAG's Grid page. Don't select a DAG Run or Task Instance. Click the Details tab if it is not already selected. ### Operating System CentOS Stream 8 ### Versions of Apache Airflow Providers N/A ### Deployment Other ### Deployment details Standalone + self-hosted ### Anything else I think the bug is [here](https://github.com/apache/airflow/blob/0a257afd031289062c76e7b77678337e88e10b93/airflow/www/static/js/dag/details/Dag.tsx#L133): ``` // parse value for each key if date or not const parseStringData = (value: string) => Number.isNaN(Date.parse(value)) ? value : <Time dateTime={value} />; ``` `Date.parse(1)` returns a number that is not NaN. ### 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) </div> --- Reopen after discussion, and [additional findings](https://github.com/apache/airflow/discussions/35430#discussioncomment-7473103): - Seems like it is only affect WebKit-based browsers, and works fine in Firefox - Not all integers transformed into the dates, at least in range 13..31 keep integer type, and default value for `Max active runs`, `Max active tasks` is 16 that might be the reason why this bug remained unnoticed Example DAG for reproduce ```python import pendulum from airflow.models.dag import DAG from airflow.operators.empty import EmptyOperator num_to_dt = { 1: True, 8: True, 12: True, # 13-31 shows fine **{ix: False for ix in range(13, 32)}, 32: True, 64: True, 128: True, 256: True, } for num, convert_to_dt in num_to_dt.items(): with DAG( f"issue_35430_number_{num:03d}", start_date=pendulum.datetime(2023, 6, 1, tz="UTC"), schedule=None, catchup=False, max_active_runs=num, max_active_tasks=num, tags=["issue", "35430", "ui", f"int to dt: {convert_to_dt}", str(num)] ): EmptyOperator(task_id="empty", retries=num) ``` ### Committer - [X] I acknowledge that I am a maintainer/committer of the Apache Airflow project. -- 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]
