### Description

The Python Google Cloud Dataproc API version has been updated in Airflow to support filtering on the Dataproc Batches API.  The DataprocListBatchesOperator can be updated to make use of this filtering.  

Currently, DataprocListBatchesOperator returns, and populates xcom with every job run in the project.  This almost surely will fail as the return object is large and xcom storage is low, especially with MySQL. Filtering on job prefix and create_time are much more useful capabilities. 

### Use case/motivation

The ability to filter lists of GCP Dataproc Batches jobs.  

### Related issues

None

### Are you willing to submit a 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)

#
#
from __future__ import annotations
import inspect
from unittest import mock
from unittest.mock import MagicMock, Mock, call
import pytest
from google.api_core.exceptions import AlreadyExists, NotFound
from google.api_core.retry import Retry
from google.cloud.dataproc_v1 import Batch, JobStatus
from airflow.exceptions import (
    AirflowException,
    AirflowProviderDeprecationWarning,
    AirflowTaskTimeout,
    TaskDeferred,
)
from airflow.models import DAG, DagBag
from airflow.providers.google.cloud.operators.dataproc import (
    DATAPROC_CLUSTER_LINK,
    DATAPROC_JOB_LOG_LINK,
    DATAPROC_WORKFLOW_LINK,
    ClusterGenerator,
    DataprocCreateBatchOperator,
    DataprocCreateClusterOperator,
    DataprocCreateWorkflowTemplateOperator,
    DataprocDeleteBatchOperator,