### 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)

"Changing DagRun into BACKFILL would cause scheduler to lose track of executing "
                "tasks. Not changing DagRun type into BACKFILL, and trying insert another DagRun into "
                "database would cause database constraint violation for dag_id + execution_date "
                "combination. Please adjust backfill dates or wait for this DagRun to finish.",
            )
            return
        
        pickle_id = None
        if not self.donot_pickle and self.executor_class not in (
            executor_constants.LOCAL_EXECUTOR,
            executor_constants.SEQUENTIAL_EXECUTOR,
            executor_constants.DASK_EXECUTOR,
        ):
            pickle = DagPickle(self.dag)
            session.add(pickle)
            session.commit()
            pickle_id = pickle.id
        executor = self.executor
        executor.job_id = self.id
        executor.start()
        ti_status.total_runs = len(dagrun_infos)  
        try:
            remaining_dates = ti_status.total_runs
            while remaining_dates > 0:
                dagrun_infos_to_process = [
                    dagrun_info
                    for dagrun_info in dagrun_infos
                    if dagrun_info.logical_date not in ti_status.executed_dag_run_dates
                ]
                self._execute_dagruns(