### Apache Airflow Provider(s)

dbt-cloud

### Versions of Apache Airflow Providers

```
apache-airflow-providers-dbt-cloud==2.2.0
```

### Apache Airflow version

2.2.5

### Operating System

Ubuntu 18.04

### Deployment

Composer

### Deployment details

_No response_

### What happened

Instructing `DbtCloudGetJobRunArtifactOperator` to save results in a path like `{{ var.value.base_path }}/dbt_run_warehouse/{{ run_id }}/run_results.json` fails because it contains a path not created yet.


```
Traceback (most recent call last):
  File "/opt/python3.8/lib/python3.8/site-packages/airflow/providers/dbt/cloud/operators/dbt.py", line 216, in execute
    with open(self.output_file_name, "w") as file:
FileNotFoundError: [Errno 2] No such file or directory: '/home/airflow/gcs/data/dbt/dbt_run_warehouse/manual__2022-10-17T22:18:25.469526+00:00/run_results.json'
```


### What you think should happen instead

It should create this path and dump the content of the requested artefact

### How to reproduce

```python
with DAG('test') as dag:
  DbtCloudGetJobRunArtifactOperator(
    task_id='dbt_run_warehouse',
    run_id=12341234,
    path='run_results.json',
    output_file_name='{{ var.value.dbt_base_target_folder }}/dbt_run_warehouse/{{ run_id }}/run_results.json'
```

     

### Anything else

_No response_

### Are you willing to submit PR?

- [X] 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 self.trigger_reason is None:
            self.trigger_reason = (
                f"Triggered via Apache Airflow by task {self.task_id!r} in the {self.dag.dag_id} DAG."
            )
        self.hook = DbtCloudHook(self.dbt_cloud_conn_id)
        trigger_job_response = self.hook.trigger_job_run(
            account_id=self.account_id,
            job_id=self.job_id,
            cause=self.trigger_reason,
            steps_override=self.steps_override,
            schema_override=self.schema_override,
            additional_run_config=self.additional_run_config,
        )
        self.run_id = trigger_job_response.json()["data"]["id"]
        job_run_url = trigger_job_response.json()["data"]["href"]
        
        
        context["ti"].xcom_push(key="job_run_url", value=job_run_url)
        if self.wait_for_termination:
            if self.deferrable is False:
                self.log.info("Waiting for job run %s to terminate.", str(self.run_id))
                if self.hook.wait_for_job_run_status(
                    run_id=self.run_id,