### 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)

"""Queue DagRun so tasks that haven't run yet can be started."""
        dag_id = request.form.get("dag_id")
        dag_run_id = request.form.get("dag_run_id")
        confirmed = request.form.get("confirmed") == "true"
        return self._mark_dagrun_state_as_queued(dag_id, dag_run_id, confirmed)
    @expose("/dagrun_details")
    def dagrun_details(self):
        """Redirect to the GRID DAGRun page. This is avoids breaking links."""
        dag_id = request.args.get("dag_id")
        run_id = request.args.get("run_id")
        return redirect(url_for("Airflow.grid", dag_id=dag_id, dag_run_id=run_id))
    def _mark_task_instance_state(
        self,
        *,
        dag_id: str,
        run_id: str,
        task_id: str,
        map_indexes: list[int] | None,
        origin: str,
        upstream: bool,
        downstream: bool,
        future: bool,
        past: bool,
        state: TaskInstanceState,
    ):
        dag: DAG = get_airflow_app().dag_bag.get_dag(dag_id)
        if not run_id:
            flash(f"Cannot mark tasks as {state}, seem that DAG {dag_id} has never run", "error")
            return redirect(origin)
        altered = dag.set_task_instance_state(