### Apache Airflow version

2.7.1

### What happened

Unable to retrieve logs for task inside task group inside mapped task group.
Got `404 "TaskInstance not found"` in network requests

### What you think should happen instead

_No response_

### How to reproduce

```
from datetime import datetime
from airflow import DAG
from airflow.decorators import task, task_group
from airflow.operators.bash import BashOperator
from airflow.utils.task_group import TaskGroup

with DAG("mapped_task_group_bug", schedule=None, start_date=datetime(1970, 1, 1)):
    @task
    def foo():
        return ["a", "b", "c"]


    @task_group
    def bar(x):
        with TaskGroup("baz"):
            # If child task group exists, logs 404
            #  "TaskInstance not found"
            # http://localhost:8080/api/v1/dags/mapped_task_group_bug/dagRuns/manual__2023-09-21T22:31:56.863704+00:00/taskInstances/bar.baz.bop/logs/2?full_content=false
            # if it is removed, logs appear
            BashOperator(task_id="bop", bash_command="echo hi $x", env={"x": x})


    bar.partial().expand(x=foo())
```

### Operating System

debian 11 / `astro dev start`

### Versions of Apache Airflow Providers

_No response_

### Deployment

Astronomer

### 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)

"""
    Return a dict of the task quantity, grouped by dag id and task status.
    :param qry: The data in the format (<dag id>, <task state>, <is dag running>, <task count>),
        ordered by <dag id> and <is dag running>
    """
    data = {}
    last_dag_id = None
    has_running_dags = False
    for dag_id, state, is_dag_running, count in qry:
        if last_dag_id != dag_id:
            last_dag_id = dag_id
            has_running_dags = False
        elif not is_dag_running and has_running_dags:
            continue
        if is_dag_running:
            has_running_dags = True
        if dag_id not in data:
            data[dag_id] = {}
        data[dag_id][state] = count
    return data
def redirect_or_json(origin, msg, status="", status_code=200):