### 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)

if not dag_run:
        return None
    conf: str | None = None
    conf_is_json: bool = False
    if isinstance(dag_run.conf, str):
        conf = dag_run.conf
    elif isinstance(dag_run.conf, (dict, list)) and any(dag_run.conf):
        conf = json.dumps(dag_run.conf, sort_keys=True)
        conf_is_json = True
    return {
        "run_id": dag_run.run_id,
        "queued_at": datetime_to_string(dag_run.queued_at),
        "start_date": datetime_to_string(dag_run.start_date),
        "end_date": datetime_to_string(dag_run.end_date),
        "state": dag_run.state,
        "execution_date": datetime_to_string(dag_run.execution_date),
        "data_interval_start": datetime_to_string(dag_run.data_interval_start),
        "data_interval_end": datetime_to_string(dag_run.data_interval_end),
        "run_type": dag_run.run_type,
        "last_scheduling_decision": datetime_to_string(dag_run.last_scheduling_decision),
        "external_trigger": dag_run.external_trigger,
        "conf": conf,
        "conf_is_json": conf_is_json,
        "note": dag_run.note,
    }
def check_import_errors(fileloc, session):