batch_example.py:66: error: Incompatible types in assignment (expression has type "int", variable has type "Destination") [assignment]
Found 1 error in 1 file (checked 1 source file)

from google.cloud import batch_v1
def create_container_job(project_id: str, region: str, job_name: str) -> batch_v1.Job:
 """
 This method shows how to create a sample Batch Job that will run
 a simple command inside a container on Cloud Compute instances.

 Args:
 project_id: project ID or project number of the Cloud project you want to use.
 region: name of the region you want to use to run the job. Regions that are
 available for Batch are listed on: https://cloud.google.com/batch/docs/get-started#locations
 job_name: the name of the job that will be created.
 It needs to be unique for each project and region pair.

 Returns:
 A job object representing the job created.
 """
 client = batch_v1.BatchServiceClient()
 # Define what will be done as part of the job.
 runnable = batch_v1.Runnable()
 runnable.container = batch_v1.Runnable.Container()
 runnable.container.image_uri = "gcr.io/google-containers/busybox"
 runnable.container.entrypoint = "/bin/sh"
 runnable.container.commands = [
 "-c",
 "echo Hello world! This is task ${BATCH_TASK_INDEX}. This job has a total of ${BATCH_TASK_COUNT} tasks.",
 ]
 # Jobs can be divided into tasks. In this case, we have only one task.
 task = batch_v1.TaskSpec()
 task.runnables = [runnable]
 # We can specify what resources are requested by each task.
 resources = batch_v1.ComputeResource()
 resources.cpu_milli = 2000 # in milliseconds per cpu-second. This means the task requires 2 whole CPUs.
 resources.memory_mib = 16 # in MiB
 task.compute_resource = resources
 task.max_retry_count = 2
 task.max_run_duration = "3600s"
 # Tasks are grouped inside a job using TaskGroups.
 # Currently, it's possible to have only one task group.
 group = batch_v1.TaskGroup()
 group.task_count = 4
 group.task_spec = task
 # Policies are used to define on what kind of virtual machines the tasks will run on.
 # In this case, we tell the system to use "e2-standard-4" machine type.
 # Read more about machine types here: https://cloud.google.com/compute/docs/machine-types
 policy = batch_v1.AllocationPolicy.InstancePolicy()
 policy.machine_type = "e2-standard-4"
 instances = batch_v1.AllocationPolicy.InstancePolicyOrTemplate()
 instances.policy = policy
 allocation_policy = batch_v1.AllocationPolicy()
 allocation_policy.instances = [instances]
 job = batch_v1.Job()
 job.task_groups = [group]
 job.allocation_policy = allocation_policy
 job.labels = {"env": "testing", "type": "container"}
 # We use Cloud Logging as it's an out of the box available option
 job.logs_policy = batch_v1.LogsPolicy()
 job.logs_policy.destination = batch_v1.LogsPolicy.Destination.CLOUD_LOGGING
 create_request = batch_v1.CreateJobRequest()
 create_request.job = job
 create_request.job_id = job_name
 # The job's parent is the region in which the job will run
 create_request.parent = f"projects/{project_id}/locations/{region}"
 return client.create_job(create_request)

batch_example.py:66: error: Incompatible types in assignment (expression has type "int", variable has type "Destination") [assignment]
Found 1 error in 1 file (checked 1 source file)

Success: no issues found in 1 source file

Package Version
------------------------ ---------
cachetools 5.5.0
certifi 2024年8月30日
charset-normalizer 3.3.2
google-api-core 2.20.0
google-auth 2.35.0
google-cloud-batch 0.17.28
googleapis-common-protos 1.65.0
grpcio 1.66.2
grpcio-status 1.66.2
idna 3.10
mypy 1.11.2
mypy-extensions 1.0.0
pip 24.2
proto-plus 1.24.0
protobuf 5.28.2
pyasn1 0.6.1
pyasn1_modules 0.4.1
requests 2.32.3
rsa 4.9
setuptools 75.1.0
typing_extensions 4.12.2
urllib3 2.2.3