### Apache Airflow version

main (development)

### What happened

Task failing with error "missing upstream values" when running a dag with dynamic task group mapping
error -
```
[2022-11-23, 15:50:07 UTC] {abstractoperator.py:456} ERROR - Cannot expand <Task(_PythonDecoratedOperator): increment_and_verify.hello_there> for run manual__2022-11-23T15:49:59.771915+00:00; missing upstream values: ['x']
```

### What you think should happen instead

It should succeed 

### How to reproduce

Run the below dag code 
```
from airflow import DAG
from airflow.models.taskinstance import TaskInstance
from airflow.operators.dummy import DummyOperator
from datetime import datetime, timedelta
from airflow.decorators import task, task_group
with DAG(
    dag_id="taskmap_taskgroup",
    tags=["AIP_42"],
    start_date=datetime(1970, 1, 1),
    schedule_interval=None,
) as dag:

    @task
    def onetwothree():
        return [1,2,3]

    @task
    def hello_there(arg):
        print(arg)

    @task_group
    def increment_and_verify(x):
        hello_there(x)

    increment_and_verify.expand(x=onetwothree())>>DummyOperator(task_id="done")
```

### Operating System

mac os

### Versions of Apache Airflow Providers

_No response_

### Deployment

Virtualenv installation

### 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)

if ti.state not in self.STATES_COUNT_AS_RUNNING:
                
                
                for node in self.dag.get_task(ti.task_id, include_subdags=True).iter_mapped_dependants():
                    new_tis, num_mapped_tis = node.expand_mapped_task(ti.run_id, session=session)
                    yield node, ti.run_id, new_tis, num_mapped_tis
    @provide_session
    def _get_dag_run(self, dagrun_info: DagRunInfo, dag: DAG, session: Session = None):
        """
        Returns a dag run for the given run date, which will be matched to an existing
        dag run if available or create a new dag run otherwise. If the max_active_runs
        limit is reached, this function will return None.
        :param dagrun_info: Schedule information for the dag run
        :param dag: DAG
        :param session: the database session object
        :return: a DagRun in state RUNNING or None
        """
        run_date = dagrun_info.logical_date
        
        respect_dag_max_active_limit = bool(dag.timetable.can_run and not dag.is_subdag)
        current_active_dag_count = dag.get_num_active_runs(external_trigger=False)
        
        
        runs = DagRun.find(dag_id=dag.dag_id, execution_date=run_date, session=session)
        run: DagRun | None
        if runs:
            run = runs[0]
            if run.state == DagRunState.RUNNING:
                respect_dag_max_active_limit = False