### Description

Allow users to re-use recent DagRun configurations upon running a DAG.
This can be achieved by adding a dropdown that contains some information about recent configurations. When user selects an item, the relevant JSON configuration can be pasted to the "Configuration JSON" textbox.
<img width="692" alt="Screen Shot 2022-11-16 at 16 22 30" src="https://user-images.githubusercontent.com/39705397/202209536-c709ec75-c768-48ab-97d4-82b02af60569.png">
<img width="627" alt="Screen Shot 2022-11-16 at 16 22 38" src="https://user-images.githubusercontent.com/39705397/202209553-08828521-dba2-4e83-8e2a-6dec850086de.png">
<img width="612" alt="Screen Shot 2022-11-16 at 16 38 40" src="https://user-images.githubusercontent.com/39705397/202209755-0946521a-e1a5-44cb-ae74-d43ca3735f31.png">


### Use case/motivation

Commonly, DAGs are triggered using repetitive configurations. Sometimes the same configuration is used for triggering a DAG, and sometimes, the configuration differs by just a few parameters. 

This interaction forces a user to store the templates he uses somewhere on his machine or to start searching for the configuration he needs in `dagrun/list/`, which does take extra time.

It will be handy to offer a user an option to select one of the recent configurations upon running a DAG.

### Related issues

_No response_

### Are you willing to submit a 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)

mapped_states = [ti.state for ti in task_instances]
    group_state = None
    for state in priority:
        if state in mapped_states:
            group_state = state
            break
    group_start_date = datetime_to_string(
        min((ti.start_date for ti in task_instances if ti.start_date), default=None)
    )
    group_end_date = datetime_to_string(
        max((ti.end_date for ti in task_instances if ti.end_date), default=None)
    )
    try_count = (
        parent_instance._try_number
        if parent_instance._try_number != 0 or parent_instance.state in State.running
        else parent_instance._try_number + 1
    )
    return {
        "task_id": parent_instance.task_id,
        "run_id": parent_instance.run_id,
        "state": group_state,
        "start_date": group_start_date,
        "end_date": group_end_date,
        "mapped_states": mapped_states,
        "try_number": try_count,
    }
def encode_dag_run(dag_run: DagRun | None) -> dict[str, Any] | None: