### 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)

logs_per_page = PAGE_SIZE
        audit_logs_count = query.count()
        num_of_pages = int(math.ceil(audit_logs_count / float(logs_per_page)))
        start = current_page * logs_per_page
        end = start + logs_per_page
        sort_column = Log.__table__.c.get(arg_sorting_key)
        if sort_column is not None:
            if arg_sorting_direction == "desc":
                sort_column = sort_column.desc()
            query = query.order_by(sort_column)
        dag_audit_logs = query.offset(start).limit(logs_per_page).all()
        return self.render_template(
            "airflow/dag_audit_log.html",
            dag=dag,
            dag_model=dag_model,
            root=request.args.get("root"),
            dag_id=dag_id,
            dag_logs=dag_audit_logs,
            num_log_from=min(start + 1, audit_logs_count),
            num_log_to=min(end, audit_logs_count),
            audit_logs_count=audit_logs_count,
            page_size=PAGE_SIZE,
            paging=wwwutils.generate_pages(
                current_page,
                num_of_pages,
            ),
            sorting_key=arg_sorting_key,
            sorting_direction=arg_sorting_direction,
        )
class ConfigurationView(AirflowBaseView):