### 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)

from airflow.exceptions import RemovedInAirflow3Warning
from airflow.models import errors
from airflow.models.dagrun import DagRun
from airflow.models.dagwarning import DagWarning
from airflow.models.taskinstance import TaskInstance
from airflow.utils import timezone
from airflow.utils.code_utils import get_python_source
from airflow.utils.helpers import alchemy_to_dict
from airflow.utils.state import State, TaskInstanceState
from airflow.www.forms import DateTimeWithTimezoneField
from airflow.www.widgets import AirflowDateTimePickerWidget
if TYPE_CHECKING:
    from sqlalchemy.orm.query import Query
    from sqlalchemy.sql.operators import ColumnOperators
def datetime_to_string(value: DateTime | None) -> str | None:
    if value is None:
        return None
    return value.isoformat()
def get_mapped_instances(task_instance, session):
    return (
        session.query(TaskInstance)
        .filter(
            TaskInstance.dag_id == task_instance.dag_id,
            TaskInstance.run_id == task_instance.run_id,
            TaskInstance.task_id == task_instance.task_id,
        )
        .order_by(TaskInstance.map_index)
        .all()
    )
def get_instance_with_map(task_instance, session):