### Apache Airflow version

Other Airflow 2 version

### What happened

Running following cli command:

```
airflow tasks render test-dynamic-mapping consumer scheduled__2022-09-18T15:14:15.107780+00:00 --map-index
```

fails with exception:

```
Traceback (most recent call last):
  File "/opt/python3.8/bin/airflow", line 8, in <module>
    sys.exit(main())
  File "/opt/python3.8/lib/python3.8/site-packages/airflow/__main__.py", line 38, in main
    args.func(args)
  File "/opt/python3.8/lib/python3.8/site-packages/airflow/cli/cli_parser.py", line 51, in command
    return func(*args, **kwargs)
  File "/opt/python3.8/lib/python3.8/site-packages/airflow/utils/cli.py", line 101, in wrapper
    return f(*args, **kwargs)
  File "/opt/python3.8/lib/python3.8/site-packages/airflow/utils/cli.py", line 337, in _wrapper
    f(*args, **kwargs)
  File "/opt/python3.8/lib/python3.8/site-packages/airflow/cli/commands/task_command.py", line 576, in task_render
    for attr in task.__class__.template_fields:
TypeError: 'member_descriptor' object is not iterable
```

Running following cli command:

```
airflow tasks state test-dynamic-mapping consumer scheduled__2022-09-18T15:14:15.107780+00:00 --map-index
```

fails with exception:

```
Traceback (most recent call last):
  File "/opt/python3.8/bin/airflow", line 8, in <module>
    sys.exit(main())
  File "/opt/python3.8/lib/python3.8/site-packages/airflow/__main__.py", line 38, in main
    args.func(args)
  File "/opt/python3.8/lib/python3.8/site-packages/airflow/cli/cli_parser.py", line 51, in command
    return func(*args, **kwargs)
  File "/opt/python3.8/lib/python3.8/site-packages/airflow/utils/cli.py", line 101, in wrapper
    return f(*args, **kwargs)
  File "/opt/python3.8/lib/python3.8/site-packages/airflow/utils/cli.py", line 337, in _wrapper
    f(*args, **kwargs)
  File "/opt/python3.8/lib/python3.8/site-packages/airflow/cli/commands/task_command.py", line 422, in task_state
    print(ti.current_state())
  File "/opt/python3.8/lib/python3.8/site-packages/airflow/utils/session.py", line 71, in wrapper
    return func(*args, session=session, **kwargs)
  File "/opt/python3.8/lib/python3.8/site-packages/airflow/models/taskinstance.py", line 849, in current_state
    session.query(TaskInstance.state)
  File "/opt/python3.8/lib/python3.8/site-packages/sqlalchemy/orm/query.py", line 2879, in scalar
    ret = self.one()
  File "/opt/python3.8/lib/python3.8/site-packages/sqlalchemy/orm/query.py", line 2856, in one
    return self._iter().one()
  File "/opt/python3.8/lib/python3.8/site-packages/sqlalchemy/engine/result.py", line 1190, in one
    return self._only_one_row(
  File "/opt/python3.8/lib/python3.8/site-packages/sqlalchemy/engine/result.py", line 613, in _only_one_row
    raise exc.MultipleResultsFound(
sqlalchemy.exc.MultipleResultsFound: Multiple rows were found when exactly one was required
```

### What you think should happen instead

Command successfully executed

### How to reproduce

_No response_

### Operating System

Linux

### Versions of Apache Airflow Providers

_No response_

### Deployment

Composer

### Deployment details

_No response_

### Anything else

_No response_

### Are you willing to submit 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)

*,
    dag: DAG,
    create_if_necessary: CreateIfNecessary,
    exec_date_or_run_id: str | None = None,
    session: Session,
) -> tuple[DagRun, bool]:
    """Try to retrieve a DAG run from a string representing either a run ID or logical date.
    This checks DAG runs like this:
    1. If the input ``exec_date_or_run_id`` matches a DAG run ID, return the run.
    2. Try to parse the input as a date. If that works, and the resulting
       date matches a DAG run's logical date, return the run.
    3. If ``create_if_necessary`` is *False* and the input works for neither of
       the above, raise ``DagRunNotFound``.
    4. Try to create a new DAG run. If the input looks like a date, use it as
       the logical date; otherwise use it as a run ID and set the logical date
       to the current time.
    """
    if not exec_date_or_run_id and not create_if_necessary:
        raise ValueError("Must provide `exec_date_or_run_id` if not `create_if_necessary`.")
    execution_date: datetime.datetime | None = None
    if exec_date_or_run_id:
        dag_run = dag.get_dagrun(run_id=exec_date_or_run_id, session=session)
        if dag_run:
            return dag_run, False
        with suppress(ParserError, TypeError):
            execution_date = timezone.parse(exec_date_or_run_id)
        try:
            dag_run = (