### 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)

restriction = TimeRestriction(dag.start_date, dag.end_date, False)
            dates = collections.Counter()
            if isinstance(dag.timetable, CronDataIntervalTimetable):
                for next in croniter(
                    dag.timetable.summary, start_time=last_automated_data_interval.end, ret_type=datetime
                ):
                    if next is None:
                        break
                    if next.year != year:
                        break
                    if dag.end_date and next > dag.end_date:
                        break
                    dates[next.date()] += 1
            else:
                while True:
                    info = dag.timetable.next_dagrun_info(
                        last_automated_data_interval=last_automated_data_interval, restriction=restriction
                    )
                    if info is None:
                        break
                    if info.logical_date.year != year:
                        break
                    last_automated_data_interval = info.data_interval
                    dates[info.logical_date] += 1
            data_dag_states.extend(
                {"date": date.isoformat(), "state": "planned", "count": count}
                for (date, count) in dates.items()
            )
        now = DateTime.utcnow()
        data = {