mypy typing errors for batch enum's
Determine this is the right repository
- [X] I determined this is the correct repository in which to report this bug.
Summary of the issue
Context
Running mypy on this official code sample (copy and paste into a file batch_example.py and running mypy batch_example.py)
Expected Behavior: No mypy errors
Actual Behavior: mypy errors:
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)
API client name and version
google-cloud-batch v0.17.28
Reproduction steps: code
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)
Reproduction steps: supporting files
No response
Reproduction steps: actual results
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)
Reproduction steps: expected results
Success: no issues found in 1 source file
OS & version + platform
macOS 15.0.1
Python environment
Python 3.11.10
Python dependencies
Package Version
------------------------ ---------
cachetools 5.5.0
certifi 2024.8.30
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
Thanks for reporting this issue. I'm going to transfer this issue to the repository where the client library code generator lives so this issue can be addressed.
@ollie-bell Kindly This sample is maintained within https://github.com/GoogleCloudPlatform/python-docs-samples. Kindly follow https://github.com/GoogleCloudPlatform/python-docs-samples/issues/13302. Closing this issue since it has been transferred to the maintainers of the Python samples.
@ohmayr Hopefully it's now in the right place then! I didn't originally raise the issue in this repository, as you can see from the previous comment it was transferred here from where I originally raised it in https://github.com/googleapis/google-cloud-python.
FYI I only used that doc sample as an example of the issue... it's not the sample that's the issue, but that sample demonstrates the issue.