### Apache Airflow version

Other Airflow 2 version (please specify below)

### What happened

#### Airflow version
2.5.3+composer (The latest available airflow version in Cloud Composer)


#### What happened

`DagRun.find()` (the `find` method of SQLAlchemy model `DagRun` ) fails with the error message `TypeError: 'DateTime' object is not iterable`, when passing `execution_date` that is directly obtained from context:
```py
def delete_previous_dagrun_func(dag_to_delete, **context):
    execution_date = context.get('execution_date')
    dagruns_today = DagRun.find(dag_id=dag_to_delete.dag_id,
                                   execution_date=execution_date)

```

#### What is the cause
Upon closer inspection, execution_date is of type `lazy_object_proxy.Proxy` and the `is_container()` function used in `DagRun.find()` determines if the variable is a "container" by the presence of the `__iter__` field.
`lazy_object_proxy.Proxy` has `__iter__`, so the `execution_date` is determined to be a container, and as a result it is passed as an array element to SQLAlchemy, which caused the "not iterable" error.

https://github.com/apache/airflow/blob/6313e5293280773aed7598e1befb8d371e8f5614/airflow/models/dagrun.py#L406-L409

https://github.com/apache/airflow/blob/6313e5293280773aed7598e1befb8d371e8f5614/airflow/utils/helpers.py#L117-L120

I think `is_container()` should have another conditional branch to deal with `lazy_object_proxy.Proxy`.


#### workaround

It works fine by unwrapping `lazy_object_proxy.Proxy` before passing it.

```py
def delete_previous_dagrun_func(dag_to_delete, **context):
    execution_date = context.get('execution_date')
    dagruns_today = DagRun.find(dag_id=dag_to_delete.dag_id,
                                   execution_date=execution_date.__wrapped__)

```

https://github.com/ionelmc/python-lazy-object-proxy/blob/c56c68bda23b8957abbc2fef3d21f32dd44b7f93/src/lazy_object_proxy/simple.py#L76-L83






### What you think should happen instead

The variable fetched from `context.get('execution_date')` can be used directly as an argument of `DagRun.find()`


### How to reproduce


```py
dag_to_delete = DAG('DAG_TO_DELETE')
dag = DAG('DAG')


def delete_previous_dagrun_func(dag_to_delete, **context):
    execution_date = context.get('execution_date')
    dagruns_today = DagRun.find(dag_id=dag_to_delete.dag_id,
                                   execution_date=execution_date)
    # do something for `dagruns_today` (Delete the dagruns for today)


op = PythonOperator(
    task_id='Delete_Previous_DagRun',
    python_callable=delete_previous_dagrun_func,
    op_args=[dag_to_delete],
    provide_context=True,
    dag=dag)
```

This code produces the following error at `DagRun.find` line:

```
[2023-07-24, 19:09:06 JST] {taskinstance.py:1778} ERROR - Task failed with exception
Traceback (most recent call last):
  File "/opt/python3.8/lib/python3.8/site-packages/airflow/operators/python.py", line 210, in execute
    branch = super().execute(context)
  File "/opt/python3.8/lib/python3.8/site-packages/airflow/operators/python.py", line 175, in execute
    return_value = self.execute_callable()
  File "/opt/python3.8/lib/python3.8/site-packages/airflow/operators/python.py", line 192, in execute_callable
    return self.python_callable(*self.op_args, **self.op_kwargs)
  File "/home/airflow/gcs/dags/*******.py", line ***, in delete_previous_dagrun_func
    dagruns_today = DagRun.find(dag_id=dag_to_delete.dag_id,
  File "/opt/python3.8/lib/python3.8/site-packages/airflow/utils/session.py", line 75, in wrapper
    return func(*args, session=session, **kwargs)
  File "/opt/python3.8/lib/python3.8/site-packages/airflow/models/dagrun.py", line 386, in find
    qry = qry.filter(cls.execution_date.in_(execution_date))
  File "/opt/python3.8/lib/python3.8/site-packages/sqlalchemy/sql/operators.py", line 641, in in_
    return self.operate(in_op, other)
  File "/opt/python3.8/lib/python3.8/site-packages/sqlalchemy/orm/attributes.py", line 317, in operate
    return op(self.comparator, *other, **kwargs)
  File "/opt/python3.8/lib/python3.8/site-packages/sqlalchemy/sql/operators.py", line 1423, in in_op
    return a.in_(b)
  File "/opt/python3.8/lib/python3.8/site-packages/sqlalchemy/sql/operators.py", line 641, in in_
    return self.operate(in_op, other)
  File "/opt/python3.8/lib/python3.8/site-packages/sqlalchemy/orm/properties.py", line 426, in operate
    return op(self.__clause_element__(), *other, **kwargs)
  File "/opt/python3.8/lib/python3.8/site-packages/sqlalchemy/sql/operators.py", line 1423, in in_op
    return a.in_(b)
  File "/opt/python3.8/lib/python3.8/site-packages/sqlalchemy/sql/operators.py", line 641, in in_
    return self.operate(in_op, other)
  File "/opt/python3.8/lib/python3.8/site-packages/sqlalchemy/sql/elements.py", line 870, in operate
    return op(self.comparator, *other, **kwargs)
  File "/opt/python3.8/lib/python3.8/site-packages/sqlalchemy/sql/operators.py", line 1423, in in_op
    return a.in_(b)
  File "/opt/python3.8/lib/python3.8/site-packages/sqlalchemy/sql/operators.py", line 641, in in_
    return self.operate(in_op, other)
  File "/opt/python3.8/lib/python3.8/site-packages/sqlalchemy/sql/type_api.py", line 1373, in operate
    return super(TypeDecorator.Comparator, self).operate(
  File "/opt/python3.8/lib/python3.8/site-packages/sqlalchemy/sql/type_api.py", line 77, in operate
    return o[0](self.expr, op, *(other + o[1:]), **kwargs)
  File "/opt/python3.8/lib/python3.8/site-packages/sqlalchemy/sql/default_comparator.py", line 159, in _in_impl
    seq_or_selectable = coercions.expect(
  File "/opt/python3.8/lib/python3.8/site-packages/sqlalchemy/sql/coercions.py", line 193, in expect
    resolved = impl._literal_coercion(
  File "/opt/python3.8/lib/python3.8/site-packages/sqlalchemy/sql/coercions.py", line 573, in _literal_coercion
    element = list(element)
TypeError: 'DateTime' object is not iterable
```



### Operating System

Google Cloud Composer (Ubuntu 20.04.6 LTS on Kubernetes)

### Versions of Apache Airflow Providers

No relevant providers

### Deployment

Google Cloud Composer

### Deployment details

Google Cloud Composer image version: `composer-2.3.4-airflow-2.5.3`

 

### Anything else

I have recently begun preparing to upgrade Airflow from 1.10 to Series 2.x.
The code described in the reproduce section still works in Airflow 1.10 environment.
I want to know it is intentional OR accidental incompatibility between 1.10 and 2.x.
(If it is intentional, Adding more helpful error message should save time to resolve.)

I am willing to submit a PR, if it is super easy (like changing 1 line of code).
If it is not the case and I need to make a big change, I think I do not have enough time to make PR timely.

### Are you willing to submit PR?

- [X] 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)

"""Render a Jinja2 template with given Airflow context.
    The default implementation of ``jinja2.Template.render()`` converts the
    input context into dict eagerly many times, which triggers deprecation
    messages in our custom context class. This takes the implementation apart
    and retain the context mapping without resolving instead.
    :param template: A Jinja2 template to render.
    :param context: The Airflow task context to render the template with.
    :param native: If set to *True*, render the template into a native type. A
        DAG can enable this with ``render_template_as_native_obj=True``.
    :returns: The render result.
    """
    context = copy.copy(context)
    env = template.environment
    if template.globals:
        context.update((k, v) for k, v in template.globals.items() if k not in context)
    try:
        nodes = template.root_render_func(env.context_class(env, context, template.name, template.blocks))
    except Exception:
        env.handle_exception()  
    if native:
        import jinja2.nativetypes
        return jinja2.nativetypes.native_concat(nodes)
    return "".join(nodes)
def render_template_to_string(template: jinja2.Template, context: Context) -> str: