### Apache Airflow version

2.5.0

### What happened

Open url `dags/gate/graph?dag_run_id=8256-8-1670328803&execution_date=2022-12-06T12%3A13%3A23.174592+00%3A00`
The graph is displaying a completely different dagrun. 
![image](https://user-images.githubusercontent.com/89977373/205916845-8acdf310-6073-46f9-aea3-8e144f6e4fba.png)
If you are not careful to review all the content, you might continue looking at the wrong results, or worse cancel a run with Mark failed.

I got the link from one of our users, so not 100% sure if it was the original url. I believe there could be something wrong with the url-encoding of the last `+` character. In any case, if there are any inconsistencies in the URL parameters vs the found dagruns, it should not display another dagrun, rather redirect to grid-view or error message.


### What you think should happen instead

* dag_run_id should be only required parameter, or have precedence over execution_date
* Provided dag_run_id should always be the same run-id that is displayed in graph
* Inconsistencies in any parameters should display error or redirect to grid view.

### How to reproduce

_No response_

### Operating System

Ubuntu 22.04

### Versions of Apache Airflow Providers

_No response_

### Deployment

Other Docker-based deployment

### 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):