### Apache Airflow version

2.6.3

### What happened

A task instance's [log_url](https://github.com/apache/airflow/blob/2.6.3/airflow/models/taskinstance.py#L726) does not contain the full URL defined in [base_url](https://github.com/apache/airflow/blob/2.6.3/airflow/models/taskinstance.py#L729C9-L729C69).

### What you think should happen instead

The base_url may contain paths that should be acknowledged when build the log_url. 

The log_url is built with [urljoin](https://docs.python.org/3/library/urllib.parse.html#urllib.parse.urljoin). Due to how urljoin builds URLs, any existing paths are ignored leading to a faulty URL. 

### How to reproduce

This snippet showcases how urljoin ignores existing paths when building the url.

```
>>> from urllib.parse import urljoin
>>> 
>>> 
>>> urljoin(
...     "https://my.astronomer.run/path",
...     f"log?execution_date=test"
...     f"&task_id=wow"
...     f"&dag_id=super"
...     f"&map_index=-1",
... )
'https://eochgroup.astronomer.run/log?execution_date=test&task_id=wow&dag_id=super&map_index=-1'
```

### Operating System

n/a

### Versions of Apache Airflow Providers

_No response_

### Deployment

Astronomer

### Deployment details

_No response_

### Anything else

This was introduced by #31833.

A way to fix this can be to utilize [urlsplit](https://docs.python.org/3/library/urllib.parse.html#urllib.parse.urlsplit) and [urlunsplit](https://docs.python.org/3/library/urllib.parse.html#urllib.parse.urlunsplit) to account for existing paths.

```
from urllib.parse import urlsplit, urlunsplit

parts = urlsplit("https://my.astronomer.run/paths")
urlunsplit((
        parts.scheme,
        parts.netloc,
        f"{parts.path}/log",
        f"execution_date=test"
        f"&task_id=wow"
        f"&dag_id=super"
        f"&map_index=-1",
        ""
    )
)
```

Here is the fix in action.

```
>>> parts = urlsplit("https://my.astronomer.run/paths")
>>> urlunsplit((
...     parts.scheme,
...     parts.netloc,
...     f"{parts.path}/log",
...     f"execution_date=test"
...     f"&task_id=wow"
...     f"&dag_id=super"
...     f"&map_index=-1",
...     ''))
'https://my.astronomer.run/paths/log?execution_date=test&task_id=wow&dag_id=super&map_index=-1'
>>>
>>> parts = urlsplit("https://my.astronomer.run/paths/test")
>>> urlunsplit((
...     parts.scheme,
...     parts.netloc,
...     f"{parts.path}/log",
...     f"execution_date=test"
...     f"&task_id=wow"
...     f"&dag_id=super"
...     f"&map_index=-1",
...     ''))
'https://my.astronomer.run/paths/test/log?execution_date=test&task_id=wow&dag_id=super&map_index=-1'
```

### 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)

self.log.debug("Clearing next_method and next_kwargs.")
        self.next_method = None
        self.next_kwargs = None
    @provide_session
    @Sentry.enrich_errors
    def _run_raw_task(
        self,
        mark_success: bool = False,
        test_mode: bool = False,
        job_id: str | None = None,
        pool: str | None = None,
        session: Session = NEW_SESSION,
    ) -> TaskReturnCode | None:
        """
        Run a task, update the state upon completion, and run any appropriate callbacks.
        Immediately runs the task (without checking or changing db state
        before execution) and then sets the appropriate final state after
        completion and runs any post-execute callbacks. Meant to be called
        only after another function changes the state to running.
        :param mark_success: Don't run the task, mark its state as success
        :param test_mode: Doesn't record success or failure in the DB
        :param pool: specifies the pool to use to run the task instance
        :param session: SQLAlchemy ORM Session
        """
        self.test_mode = test_mode
        self.refresh_from_task(self.task, pool_override=pool)