### Apache Airflow version

2.5.1

### What happened

/calendar page give a problem, here is the capture



![屏幕截图 2023-01-30 093116](https://user-images.githubusercontent.com/19165258/215369479-9fc7de5c-f190-460c-9cf7-9ab27d8ac355.png)


### What you think should happen instead

_No response_

### How to reproduce

_No response_

### Operating System

Ubuntu 22.04.1 LTS

### Versions of Apache Airflow Providers

Distributor ID: Ubuntu
Description:    Ubuntu 22.04.1 LTS
Release:        22.04
Codename:       jammy

### Deployment

Other

### Deployment details


Distributor ID: Ubuntu
Description:    Ubuntu 22.04.1 LTS
Release:        22.04
Codename:       jammy

### 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)

"""Runs Task Instance."""
        dag_id = request.form.get("dag_id")
        task_id = request.form.get("task_id")
        dag_run_id = request.form.get("dag_run_id")
        map_index = request.args.get("map_index", -1, type=int)
        origin = get_safe_url(request.form.get("origin"))
        dag: DAG = get_airflow_app().dag_bag.get_dag(dag_id)
        task = dag.get_task(task_id)
        ignore_all_deps = request.form.get("ignore_all_deps") == "true"
        ignore_task_deps = request.form.get("ignore_task_deps") == "true"
        ignore_ti_state = request.form.get("ignore_ti_state") == "true"
        executor = ExecutorLoader.get_default_executor()
        if not executor.supports_ad_hoc_ti_run:
            msg = f"{executor.__class__.__name__} does not support ad hoc task runs"
            return redirect_or_json(origin, msg, "error", 400)
        dag_run = dag.get_dagrun(run_id=dag_run_id)
        ti = dag_run.get_task_instance(task_id=task.task_id, map_index=map_index)
        if not ti:
            msg = "Could not queue task instance for execution, task instance is missing"
            return redirect_or_json(origin, msg, "error", 400)
        ti.refresh_from_task(task)
        
        dep_context = DepContext(
            deps=RUNNING_DEPS,
            ignore_all_deps=ignore_all_deps,
            ignore_task_deps=ignore_task_deps,