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priority: p2Moderately-important priority. Fix may not be included in next release.Moderately-important priority. Fix may not be included in next release.samplesIssues that are directly related to samples.Issues that are directly related to samples.triage meI really want to be triaged.I really want to be triaged.type: bugError or flaw in code with unintended results or allowing sub-optimal usage patterns.Error or flaw in code with unintended results or allowing sub-optimal usage patterns.
Description
Determine this is the right repository
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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
Metadata
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Assignees
Labels
priority: p2Moderately-important priority. Fix may not be included in next release.Moderately-important priority. Fix may not be included in next release.samplesIssues that are directly related to samples.Issues that are directly related to samples.triage meI really want to be triaged.I really want to be triaged.type: bugError or flaw in code with unintended results or allowing sub-optimal usage patterns.Error or flaw in code with unintended results or allowing sub-optimal usage patterns.