drexpp opened a new pull request #6635: [AIRFLOW-6033] Fix UI Crash at "Landing Times" when change task_id wi… URL: https://github.com/apache/airflow/pull/6635 ### Adding our company to _"Who uses Apache Airflow?"_ Hello everyone, is it possible that our company appears on **_"Who uses Apache Airflow?"_** section? We are a small team working in [Endesa](https://www.endesa.com/), a big spanish electric distributor and part of [Enel](https://www.enel.com/). I wrote some pipelines to automate the ETLs processes we use with Hadoop / Spark, so I believe it would be great for our team. [Endesa](https://www.endesa.com/) [@drexpp] Thanks for your consideration. ___ Make sure you have checked _all_ steps below. ### Jira - [X] My PR addresses the following Airflow Jira Issue [AIRFLOW-6033](https://issues.apache.org/jira/browse/AIRFLOW-6033) and references them in the PR title. ### Description - [X] Here are some details about my PR: Airflow UI will crash in the browser returning "Oops" message and the Traceback of the crashing error. This is caused by modifying a task_id with a capital/small letter, I will point out some examples that will cause airflow to crash: task_id = "DUMMY_TASK" to task_id = "dUMMY_TASK" task_id = "Dummy_Task" to task_id = "dummy_Task" or "Dummy_task",... task_id = "Dummy_task" to task_id = "Dummy_tASk" ___ #### File causing the problem: https://github.com/apache/airflow/blob/master/airflow/www/views.py (lines 1643 - 1654) ``` for task in dag.tasks: y[task.task_id] = [] x[task.task_id] = [] for ti in task.get_task_instances(start_date=min_date, end_date=base_date): ts = ti.execution_date if dag.schedule_interval and dag.following_schedule(ts): ts = dag.following_schedule(ts) if ti.end_date: dttm = wwwutils.epoch(ti.execution_date) secs = (ti.end_date - ts).total_seconds() x[ti.task_id].append(dttm) y[ti.task_id].append(secs) ``` ___ We can see in first two lines inside the first for loop, how the dictionary x and y is being filled with tasks_id attributes which comes from the actual DAG. The problem actually comes in the second for loop when you get the task instances from a DAG, I am not sure about this next part and I wish someone to clarify my question about this. I think that the task instances (ti) received from get_task_instances() function comes from the information stored into the database, that is the reason of crash when you access to "Landing Times" page, is that the x and y where filled with the actual name of the task_id in the DAG and the task_instances' task_id has different name stored causing this problem access to the dictionary. One of my main questions is how having a different task name (such as changing from "run" to "Run") the function get_task_instances() keeps returning past task instances with different name, such asking instances of Run but returns task instances (ti) with task_id "run"? ### Error screeshot How to replicate: - Launch airflow webserver -p 8080 - Go to the Airflow-UI - Create an example DAG with a task_id name up to your choice in small letters (ex. "run") - Launch the DAG and wait its execution to finish - Modify the task_id inside the DAG with the first letter to capital letter (ex. "Run") - Refresh the DAG - Go to "Landing Times" inside the DAG menu in the UI - You will get an "oops" message with the Traceback.  ____ ### Tests - [X] My PR adds the following unit tests __OR__ does not need testing for this extremely good reason: - I didn't know exactly how to unit test this, if you have any advice I will do a test for it. Other than that, I did test checking that the behaviour was as expected: - [X] Create DAG and access to Landing Times - [X] Modify a task from the created DAG to a completly new name and access to Landing Times - [X] Modifying a task with capital/lower letters and accessing to Landing Times - [X] Switch to the original name and access to Landing Times ### Commits - [X] My commits all reference Jira issues in their subject lines, and I have squashed multiple commits if they address the same issue. In addition, my commits follow the guidelines from "[How to write a good git commit message](http://chris.beams.io/posts/git-commit/)": 1. Subject is separated from body by a blank line 1. Subject is limited to 50 characters (not including Jira issue reference) 1. Subject does not end with a period 1. Subject uses the imperative mood ("add", not "adding") 1. Body wraps at 72 characters 1. Body explains "what" and "why", not "how" ### Documentation - [X] In case of new functionality, my PR adds documentation that describes how to use it. - All the public functions and the classes in the PR contain docstrings that explain what it does - If you implement backwards incompatible changes, please leave a note in the [Updating.md](https://github.com/apache/airflow/blob/master/UPDATING.md) so we can assign it to a appropriate release ### Code Quality - [X] Passes `flake8`
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