### Apache Airflow version

main (development)

### What happened

On the Task Instances table, one can click on `Edit Record` and be directed to a `Edit Task Instance` page. There, if you try to change the state, it will simply not update nor are there any errors in the browser console.


<img width="608" alt="Screen Shot 2022-01-04 at 10 10 52 AM" src="https://user-images.githubusercontent.com/4600967/148101472-fb6076fc-3fc3-44c4-a022-6625d5112551.png">


### What you expected to happen

Changes to state should actually update the task instance.

### How to reproduce

Try to use the `Edit Task Instance` page

### Operating System

Mac OSx

### Versions of Apache Airflow Providers

_No response_

### Deployment

Virtualenv installation

### Deployment details

_No response_

### Anything else

This page is redundant, as a user can successfully edit task instance states from the table. Instead of wiring up the correct actions, I say we should just remove the `Edit Task Instance` page entirely.

### Are you willing to submit PR?

- [X] 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)

"example_bash_operator",
        ),
    ],
    ids=[
        "paused",
        "failed-flash-hint",
        "success-flash-hint",
        "clear",
    ],
)
def test_views_post(admin_client, url, data, content):
    resp = admin_client.post(url, data=data, follow_redirects=True)
    check_content_in_response(content, resp)
@pytest.mark.parametrize("url", ["failed", "success"])
def test_dag_never_run(admin_client, url):
    dag_id = "example_bash_operator"
    form = dict(
        task_id="run_this_last",
        dag_id=dag_id,
        execution_date=DEFAULT_DATE,
        upstream="false",
        downstream="false",
        future="false",
        past="false",
        origin="/graph?dag_id=example_bash_operator",
    )
    clear_db_runs()
    resp = admin_client.post(url, data=form, follow_redirects=True)
    check_content_in_response(f"Cannot mark tasks as {url}, seem that DAG {dag_id} has never run", resp)
class _ForceHeartbeatCeleryExecutor(CeleryExecutor):