### Apache Airflow version

2.4.3

### What happened

In the grid view I do not see the logs for the latest try number if the task is in deferred state. I do see it in the "old" log view.

Grid view:
![image](https://user-images.githubusercontent.com/3342974/204215464-989e70e3-9dfc-490b-908c-f47f491316d5.png)

"Old" view:
![image](https://user-images.githubusercontent.com/3342974/204215513-05a6b0ac-f3da-44fa-b8c2-e31013e2467c.png)

It could have something to do with the deferred task getting its try_number reduced by 1 - in my example try_number=1 and next_try_number=2.

https://github.com/apache/airflow/blob/3e288abd0bc3e5788dcd7f6d9f6bef26ec4c7281/airflow/models/taskinstance.py#L1617-L1618



### What you think should happen instead

_No response_

### How to reproduce

_No response_

### Operating System

Red Hat

### 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 not dag_run:
        return None
    conf, conf_is_json = get_dag_run_conf(dag_run.conf)
    return {
        "run_id": dag_run.run_id,
        "queued_at": datetime_to_string(dag_run.queued_at),
        "start_date": datetime_to_string(dag_run.start_date),
        "end_date": datetime_to_string(dag_run.end_date),
        "state": dag_run.state,
        "execution_date": datetime_to_string(dag_run.execution_date),
        "data_interval_start": datetime_to_string(dag_run.data_interval_start),
        "data_interval_end": datetime_to_string(dag_run.data_interval_end),
        "run_type": dag_run.run_type,
        "last_scheduling_decision": datetime_to_string(dag_run.last_scheduling_decision),
        "external_trigger": dag_run.external_trigger,
        "conf": conf,
        "conf_is_json": conf_is_json,
        "note": dag_run.note,
    }
def check_import_errors(fileloc, session):
    
    import_errors = session.query(errors.ImportError).filter(errors.ImportError.filename == fileloc).all()
    if import_errors:
        for import_error in import_errors:
            flash("Broken DAG: [{ie.filename}] {ie.stacktrace}".format(ie=import_error), "dag_import_error")
def check_dag_warnings(dag_id, session):