### 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)

"""Generates a URL to the Graph view for a DagRun."""
    dag_id = attr.get("dag_id")
    run_id = attr.get("run_id")
    execution_date = attr.get("dag_run.exectuion_date") or attr.get("execution_date")
    url = url_for("Airflow.graph", dag_id=dag_id, run_id=run_id, execution_date=execution_date)
    return Markup('<a href="{url}">{run_id}</a>').format(url=url, run_id=run_id)
def _get_run_ordering_expr(name: str) -> ColumnOperators:
    expr = DagRun.__table__.columns[name]
    
    
    
    
    
    if name in ("data_interval_start", "data_interval_end"):
        expr = func.coalesce(expr, DagRun.execution_date)
    return expr.desc()
def sorted_dag_runs(query: Query, *, ordering: Sequence[str], limit: int) -> Sequence[DagRun]:
    """Produce DAG runs sorted by specified columns.
    :param query: An ORM query object against *DagRun*.
    :param ordering: Column names to sort the runs. should generally come from a
        timetable's ``run_ordering``.
    :param limit: Number of runs to limit to.
    :return: A list of DagRun objects ordered by the specified columns. The list
        contains only the *last* objects, but in *ascending* order.
    """
    ordering_exprs = (_get_run_ordering_expr(name) for name in ordering)
    runs = query.order_by(*ordering_exprs, DagRun.id.desc()).limit(limit).all()
    runs.reverse()
    return runs
def format_map_index(attr: dict) -> str: