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|
# coding: utf-8
# -------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
# --------------------------------------------------------------------------
# pylint: disable=line-too-long
import re
from azure.storage.blob import BlockBlobService
from azure.storage.file import FileService
from devtools_testutils import AzureMgmtTestCase, StorageAccountPreparer
from devtools_testutils import ResourceGroupPreparer
from msrestazure.azure_exceptions import CloudError
import azure.mgmt.batchai.models as models
from azure.mgmt.batchai import BatchAIManagementClient
from helpers import Helpers, ClusterPreparer
class JobTestCase(AzureMgmtTestCase):
def setUp(self):
super(JobTestCase, self).setUp()
self.client = Helpers.create_batchai_client(self) # type: BatchAIManagementClient
@ResourceGroupPreparer(location=Helpers.LOCATION)
@StorageAccountPreparer(name_prefix='psdk', location=Helpers.LOCATION, playback_fake_resource=Helpers.FAKE_STORAGE)
@ClusterPreparer()
def test_job_creation_and_deletion(self, resource_group, location, cluster, storage_account, storage_account_key):
"""Tests simple scenario for a job - submit, check results, delete."""
job = Helpers.create_custom_job(self.client, resource_group.name, cluster.id, 'job', 1,
'echo hi | tee {0}/hi.txt'.format(Helpers.JOB_OUTPUT_DIRECTORY_PATH_ENV),
container=models.ContainerSettings(
image_source_registry=models.ImageSourceRegistry(image='ubuntu'))
) # type: models.Job
self.assertEqual(
Helpers.wait_for_job_completion(self.is_live, self.client, resource_group.name, job.name, Helpers.MINUTE),
models.ExecutionState.succeeded)
# Check standard job output
Helpers.assert_job_files_are(self, self.client, resource_group.name, job.name,
Helpers.STANDARD_OUTPUT_DIRECTORY_ID,
{u'stdout.txt': u'hi\n', u'stderr.txt': u''})
# Check job's output
Helpers.assert_job_files_are(self, self.client, resource_group.name, job.name,
Helpers.JOB_OUTPUT_DIRECTORY_ID,
{u'hi.txt': u'hi\n'})
# Check that we can access the output files directly in storage using path segment returned by the server
Helpers.assert_file_in_file_share(self, storage_account.name, storage_account_key,
job.job_output_directory_path_segment + '/' + Helpers.STDOUTERR_FOLDER_NAME,
'stdout.txt', u'hi\n')
self.client.jobs.delete(resource_group.name, Helpers.DEFAULT_WORKSPACE_NAME, Helpers.DEFAULT_EXPERIMENT_NAME,
job.name).result()
self.assertRaises(CloudError, lambda: self.client.jobs.get(resource_group.name, Helpers.DEFAULT_WORKSPACE_NAME,
Helpers.DEFAULT_EXPERIMENT_NAME, job.name))
@ResourceGroupPreparer(location=Helpers.LOCATION)
@StorageAccountPreparer(name_prefix='psdk', location=Helpers.LOCATION, playback_fake_resource=Helpers.FAKE_STORAGE)
@ClusterPreparer()
def test_running_job_deletion(self, resource_group, location, cluster):
"""Tests deletion of a running job."""
job = Helpers.create_custom_job(self.client, resource_group.name, cluster.id, 'job', 1, 'sleep 600')
self.assertEqual(
Helpers.wait_for_job_start_running(self.is_live, self.client, resource_group.name, job.name,
Helpers.MINUTE),
models.ExecutionState.running)
self.client.jobs.delete(resource_group.name, Helpers.DEFAULT_WORKSPACE_NAME, Helpers.DEFAULT_EXPERIMENT_NAME,
job.name).result()
self.assertRaises(CloudError, lambda: self.client.jobs.get(resource_group.name, Helpers.DEFAULT_WORKSPACE_NAME,
Helpers.DEFAULT_EXPERIMENT_NAME, job.name))
@ResourceGroupPreparer(location=Helpers.LOCATION)
@StorageAccountPreparer(name_prefix='psdk', location=Helpers.LOCATION, playback_fake_resource=Helpers.FAKE_STORAGE)
@ClusterPreparer()
def test_running_job_termination(self, resource_group, location, cluster):
"""Tests termination of a running job."""
job = Helpers.create_custom_job(self.client, resource_group.name, cluster.id, 'longrunning', 1, 'sleep 600')
self.assertEqual(
Helpers.wait_for_job_start_running(self.is_live, self.client, resource_group.name, job.name,
Helpers.MINUTE),
models.ExecutionState.running)
self.client.jobs.terminate(
resource_group.name, Helpers.DEFAULT_WORKSPACE_NAME, Helpers.DEFAULT_EXPERIMENT_NAME, job.name).result()
self.assertEqual(
Helpers.wait_for_job_completion(self.is_live, self.client, resource_group.name, job.name, Helpers.MINUTE),
models.ExecutionState.failed)
@ResourceGroupPreparer(location=Helpers.LOCATION)
@StorageAccountPreparer(name_prefix='psdk', location=Helpers.LOCATION, playback_fake_resource=Helpers.FAKE_STORAGE)
@ClusterPreparer(target_nodes=0, wait=False)
def test_queued_job_termination(self, resource_group, location, cluster):
"""Tests termination of a job in queued state."""
# Create a job which will be in queued state because the cluster has no compute nodes.
job = Helpers.create_custom_job(self.client, resource_group.name, cluster.id, 'job', 1, 'true')
self.client.jobs.terminate(
resource_group.name, Helpers.DEFAULT_WORKSPACE_NAME, Helpers.DEFAULT_EXPERIMENT_NAME, job.name).result()
self.assertEqual(
Helpers.wait_for_job_completion(self.is_live, self.client, resource_group.name, job.name, Helpers.MINUTE),
models.ExecutionState.failed)
self.client.jobs.delete(resource_group.name, Helpers.DEFAULT_WORKSPACE_NAME, Helpers.DEFAULT_EXPERIMENT_NAME,
job.name).result()
self.assertRaises(CloudError, lambda: self.client.jobs.get(resource_group.name, Helpers.DEFAULT_WORKSPACE_NAME,
Helpers.DEFAULT_EXPERIMENT_NAME, job.name))
@ResourceGroupPreparer(location=Helpers.LOCATION)
@StorageAccountPreparer(name_prefix='psdk', location=Helpers.LOCATION, playback_fake_resource=Helpers.FAKE_STORAGE)
@ClusterPreparer()
def test_completed_job_termination(self, resource_group, location, cluster):
"""Tests termination of completed job."""
job = Helpers.create_custom_job(self.client, resource_group.name, cluster.id, 'job', 1, 'true')
self.assertEqual(
Helpers.wait_for_job_completion(self.is_live, self.client, resource_group.name, job.name, Helpers.MINUTE),
models.ExecutionState.succeeded)
# termination of completed job is NOP and must not change the execution state.
self.client.jobs.terminate(resource_group.name, Helpers.DEFAULT_WORKSPACE_NAME, Helpers.DEFAULT_EXPERIMENT_NAME,
job.name).result()
self.assertEqual(
Helpers.wait_for_job_completion(self.is_live, self.client, resource_group.name, job.name, Helpers.MINUTE),
models.ExecutionState.succeeded)
self.client.jobs.delete(resource_group.name, Helpers.DEFAULT_WORKSPACE_NAME, Helpers.DEFAULT_EXPERIMENT_NAME,
job.name).result()
self.assertRaises(CloudError, lambda: self.client.jobs.get(resource_group.name, Helpers.DEFAULT_WORKSPACE_NAME,
Helpers.DEFAULT_EXPERIMENT_NAME, job.name))
@ResourceGroupPreparer(location=Helpers.LOCATION)
@StorageAccountPreparer(name_prefix='psdk', location=Helpers.LOCATION, playback_fake_resource=Helpers.FAKE_STORAGE)
@ClusterPreparer()
def test_failed_job_reporting(self, resource_group, location, cluster):
"""Tests if job failure is reported correctly."""
job = Helpers.create_custom_job(self.client, resource_group.name, cluster.id, 'job', 1, 'false')
self.assertEqual(
Helpers.wait_for_job_completion(self.is_live, self.client, resource_group.name, job.name,
Helpers.MINUTE),
models.ExecutionState.failed)
job = self.client.jobs.get(resource_group.name, Helpers.DEFAULT_WORKSPACE_NAME, Helpers.DEFAULT_EXPERIMENT_NAME,
job.name)
self.assertEqual(job.execution_info.exit_code, 1)
self.assertEqual(len(job.execution_info.errors), 1)
self.assertEqual(job.execution_info.errors[0].code, 'JobFailed')
self.client.jobs.delete(resource_group.name, Helpers.DEFAULT_WORKSPACE_NAME, Helpers.DEFAULT_EXPERIMENT_NAME,
job.name).result()
self.assertRaises(CloudError, lambda: self.client.jobs.get(resource_group.name, Helpers.DEFAULT_WORKSPACE_NAME,
Helpers.DEFAULT_EXPERIMENT_NAME, job.name))
@ResourceGroupPreparer(location=Helpers.LOCATION)
@StorageAccountPreparer(name_prefix='psdk', location=Helpers.LOCATION, playback_fake_resource=Helpers.FAKE_STORAGE)
@ClusterPreparer()
def test_job_preparation_host(self, resource_group, location, cluster):
"""Tests job preparation execution for a job running on a host."""
# create a job with job preparation which populates input data in $AZ_BATCHAI_INPUT_INPUT/hi.txt
job = Helpers.create_custom_job(
self.client, resource_group.name, cluster.id, 'job', 1,
'cat $AZ_BATCHAI_INPUT_INPUT/hi.txt',
'mkdir -p $AZ_BATCHAI_INPUT_INPUT && echo hello | tee $AZ_BATCHAI_INPUT_INPUT/hi.txt')
self.assertEqual(
Helpers.wait_for_job_completion(self.is_live, self.client, resource_group.name, job.name,
Helpers.MINUTE),
models.ExecutionState.succeeded)
Helpers.assert_job_files_are(self, self.client, resource_group.name, job.name,
Helpers.STANDARD_OUTPUT_DIRECTORY_ID,
{u'stdout.txt': u'hello\n',
u'stderr.txt': u'',
u'stdout-job_prep.txt': u'hello\n',
u'stderr-job_prep.txt': u''})
self.client.jobs.delete(resource_group.name, Helpers.DEFAULT_WORKSPACE_NAME, Helpers.DEFAULT_EXPERIMENT_NAME,
job.name).result()
self.assertRaises(CloudError, lambda: self.client.jobs.get(resource_group.name, Helpers.DEFAULT_WORKSPACE_NAME,
Helpers.DEFAULT_EXPERIMENT_NAME, job.name))
@ResourceGroupPreparer(location=Helpers.LOCATION)
@StorageAccountPreparer(name_prefix='psdk', location=Helpers.LOCATION, playback_fake_resource=Helpers.FAKE_STORAGE)
@ClusterPreparer()
def test_job_preparation_container(self, resource_group, location, cluster):
"""Tests job preparation execution for a job running in a container."""
# create a job with job preparation which populates input data in $AZ_BATCHAI_INPUT_INPUT/hi.txt
job = Helpers.create_custom_job(
self.client, resource_group.name, cluster.id, 'job', 1,
'cat $AZ_BATCHAI_INPUT_INPUT/hi.txt',
'mkdir -p $AZ_BATCHAI_INPUT_INPUT && echo hello | tee $AZ_BATCHAI_INPUT_INPUT/hi.txt',
container=models.ContainerSettings(
image_source_registry=models.ImageSourceRegistry(image='ubuntu')))
self.assertEqual(
Helpers.wait_for_job_completion(self.is_live, self.client, resource_group.name, job.name,
Helpers.MINUTE),
models.ExecutionState.succeeded)
Helpers.assert_job_files_are(self, self.client, resource_group.name, job.name,
Helpers.STANDARD_OUTPUT_DIRECTORY_ID,
{u'stdout.txt': u'hello\n',
u'stderr.txt': u'',
u'stdout-job_prep.txt': u'hello\n',
u'stderr-job_prep.txt': u''})
self.client.jobs.delete(resource_group.name, Helpers.DEFAULT_WORKSPACE_NAME, Helpers.DEFAULT_EXPERIMENT_NAME,
job.name).result()
self.assertRaises(CloudError, lambda: self.client.jobs.get(resource_group.name, Helpers.DEFAULT_WORKSPACE_NAME,
Helpers.DEFAULT_EXPERIMENT_NAME, job.name))
@ResourceGroupPreparer(location=Helpers.LOCATION)
@StorageAccountPreparer(name_prefix='psdk', location=Helpers.LOCATION, playback_fake_resource=Helpers.FAKE_STORAGE)
@ClusterPreparer()
def test_job_host_preparation_failure_reporting(self, resource_group, location, cluster):
"""Tests if job preparation failure is reported correctly."""
# create a job with failing job preparation
job = Helpers.create_custom_job(self.client, resource_group.name, cluster.id, 'job', 1, 'true', 'false')
self.assertEqual(
Helpers.wait_for_job_completion(self.is_live, self.client, resource_group.name, job.name,
Helpers.MINUTE),
models.ExecutionState.failed)
job = self.client.jobs.get(resource_group.name, Helpers.DEFAULT_WORKSPACE_NAME, Helpers.DEFAULT_EXPERIMENT_NAME,
job.name)
self.assertEqual(job.execution_info.exit_code, 1)
self.assertEqual(len(job.execution_info.errors), 1)
self.assertEqual(job.execution_info.errors[0].code, 'JobPreparationFailed')
print(job.serialize())
self.client.jobs.delete(resource_group.name, Helpers.DEFAULT_WORKSPACE_NAME, Helpers.DEFAULT_EXPERIMENT_NAME,
job.name).result()
self.assertRaises(CloudError, lambda: self.client.jobs.get(resource_group.name, Helpers.DEFAULT_WORKSPACE_NAME,
Helpers.DEFAULT_EXPERIMENT_NAME, job.name))
@ResourceGroupPreparer(location=Helpers.LOCATION)
@StorageAccountPreparer(name_prefix='psdk', location=Helpers.LOCATION, playback_fake_resource=Helpers.FAKE_STORAGE)
@ClusterPreparer()
def test_job_container_preparation_failure_reporting(self, resource_group, location, cluster):
"""Tests if job preparation failure is reported correctly."""
# create a job with failing job preparation
job = Helpers.create_custom_job(self.client, resource_group.name, cluster.id, 'job', 1, 'true', 'false',
container=models.ContainerSettings(
image_source_registry=models.ImageSourceRegistry(image='ubuntu')))
self.assertEqual(
Helpers.wait_for_job_completion(self.is_live, self.client, resource_group.name, job.name,
Helpers.MINUTE),
models.ExecutionState.failed)
job = self.client.jobs.get(resource_group.name, Helpers.DEFAULT_WORKSPACE_NAME, Helpers.DEFAULT_EXPERIMENT_NAME,
job.name)
self.assertEqual(job.execution_info.exit_code, 1)
self.assertEqual(len(job.execution_info.errors), 1)
self.assertEqual(job.execution_info.errors[0].code, 'JobPreparationFailed')
self.client.jobs.delete(resource_group.name, Helpers.DEFAULT_WORKSPACE_NAME, Helpers.DEFAULT_EXPERIMENT_NAME,
job.name).result()
self.assertRaises(CloudError, lambda: self.client.jobs.get(resource_group.name, Helpers.DEFAULT_WORKSPACE_NAME,
Helpers.DEFAULT_EXPERIMENT_NAME, job.name))
@ResourceGroupPreparer(location=Helpers.LOCATION)
@StorageAccountPreparer(name_prefix='psdk', location=Helpers.LOCATION, playback_fake_resource=Helpers.FAKE_STORAGE)
@ClusterPreparer(target_nodes=2)
def test_password_less_ssh(self, resource_group, location, cluster):
"""Tests if password-less ssh is configured on hosts."""
job = Helpers.create_custom_job(self.client, resource_group.name, cluster.id, 'job', 2,
'ssh 10.0.0.4 echo done && ssh 10.0.0.5 echo done')
self.assertEqual(
Helpers.wait_for_job_completion(self.is_live, self.client, resource_group.name, job.name,
Helpers.MINUTE),
models.ExecutionState.succeeded)
job = self.client.jobs.get(resource_group.name, Helpers.DEFAULT_WORKSPACE_NAME, Helpers.DEFAULT_EXPERIMENT_NAME,
job.name)
Helpers.assert_job_files_are(self, self.client, resource_group.name, job.name,
Helpers.STANDARD_OUTPUT_DIRECTORY_ID,
{u'stdout.txt': u'done\ndone\n',
u'stderr.txt': re.compile('Permanently added.*')})
self.client.jobs.delete(resource_group.name, Helpers.DEFAULT_WORKSPACE_NAME, Helpers.DEFAULT_EXPERIMENT_NAME,
job.name).result()
self.assertRaises(CloudError, lambda: self.client.jobs.get(resource_group.name, Helpers.DEFAULT_WORKSPACE_NAME,
Helpers.DEFAULT_EXPERIMENT_NAME, job.name))
@ResourceGroupPreparer(location=Helpers.LOCATION)
@StorageAccountPreparer(name_prefix='psdk', location=Helpers.LOCATION, playback_fake_resource=Helpers.FAKE_STORAGE)
@ClusterPreparer(target_nodes=2)
def test_password_less_ssh_in_container(self, resource_group, location, cluster):
"""Tests if password-less ssh is configured in containers."""
job = Helpers.create_custom_job(self.client, resource_group.name, cluster.id, 'job', 2,
'ssh 10.0.0.5 echo done && ssh 10.0.0.5 echo done',
container=models.ContainerSettings(
image_source_registry=models.ImageSourceRegistry(image='ubuntu')))
self.assertEqual(
Helpers.wait_for_job_completion(self.is_live, self.client, resource_group.name, job.name,
Helpers.MINUTE),
models.ExecutionState.succeeded)
job = self.client.jobs.get(resource_group.name, Helpers.DEFAULT_WORKSPACE_NAME, Helpers.DEFAULT_EXPERIMENT_NAME,
job.name)
Helpers.assert_job_files_are(self, self.client, resource_group.name, job.name,
Helpers.STANDARD_OUTPUT_DIRECTORY_ID,
{u'stdout.txt': u'done\ndone\n',
u'stderr.txt': re.compile('Permanently added.*')})
self.client.jobs.delete(resource_group.name, Helpers.DEFAULT_WORKSPACE_NAME, Helpers.DEFAULT_EXPERIMENT_NAME,
job.name).result()
self.assertRaises(CloudError, lambda: self.client.jobs.get(resource_group.name, Helpers.DEFAULT_WORKSPACE_NAME,
Helpers.DEFAULT_EXPERIMENT_NAME, job.name))
@ResourceGroupPreparer(location=Helpers.LOCATION)
@StorageAccountPreparer(name_prefix='psdk', location=Helpers.LOCATION, playback_fake_resource=Helpers.FAKE_STORAGE)
@ClusterPreparer(target_nodes=1)
def test_job_level_mounting(self, resource_group, location, cluster, storage_account, storage_account_key):
"""Tests if it's possible to mount external file systems for a job."""
job_name = 'job'
# Create file share and container to mount on the job level
if storage_account.name != Helpers.FAKE_STORAGE.name:
files = FileService(storage_account.name, storage_account_key)
files.create_share('jobshare', fail_on_exist=False)
blobs = BlockBlobService(storage_account.name, storage_account_key)
blobs.create_container('jobcontainer', fail_on_exist=False)
job = self.client.jobs.create(
resource_group.name,
Helpers.DEFAULT_WORKSPACE_NAME,
Helpers.DEFAULT_EXPERIMENT_NAME,
job_name,
parameters=models.JobCreateParameters(
cluster=models.ResourceId(id=cluster.id),
node_count=1,
mount_volumes=models.MountVolumes(
azure_file_shares=[
models.AzureFileShareReference(
account_name=storage_account.name,
azure_file_url='https://{0}.file.core.windows.net/{1}'.format(
storage_account.name, 'jobshare'),
relative_mount_path='job_afs',
credentials=models.AzureStorageCredentialsInfo(
account_key=storage_account_key
),
)
],
azure_blob_file_systems=[
models.AzureBlobFileSystemReference(
account_name=storage_account.name,
container_name='jobcontainer',
relative_mount_path='job_bfs',
credentials=models.AzureStorageCredentialsInfo(
account_key=storage_account_key
),
)
]
),
# Put standard output on cluster level AFS to check that the job has access to it.
std_out_err_path_prefix='$AZ_BATCHAI_MOUNT_ROOT/{0}'.format(Helpers.AZURE_FILES_MOUNTING_PATH),
# Create two output directories on job level AFS and blobfuse.
output_directories=[
models.OutputDirectory(id='OUTPUT1', path_prefix='$AZ_BATCHAI_JOB_MOUNT_ROOT/job_afs'),
models.OutputDirectory(id='OUTPUT2', path_prefix='$AZ_BATCHAI_JOB_MOUNT_ROOT/job_bfs')
],
# Check that the job preparation has access to job level file systems.
job_preparation=models.JobPreparation(
command_line='echo afs > $AZ_BATCHAI_OUTPUT_OUTPUT1/prep_afs.txt; '
'echo bfs > $AZ_BATCHAI_OUTPUT_OUTPUT2/prep_bfs.txt; '
'echo done'
),
# Check that the job has access to job
custom_toolkit_settings=models.CustomToolkitSettings(
command_line='echo afs > $AZ_BATCHAI_OUTPUT_OUTPUT1/job_afs.txt; '
'echo bfs > $AZ_BATCHAI_OUTPUT_OUTPUT2/job_bfs.txt; '
'mkdir $AZ_BATCHAI_OUTPUT_OUTPUT1/afs; '
'echo afs > $AZ_BATCHAI_OUTPUT_OUTPUT1/afs/job_afs.txt; '
'mkdir $AZ_BATCHAI_OUTPUT_OUTPUT2/bfs; '
'echo bfs > $AZ_BATCHAI_OUTPUT_OUTPUT2/bfs/job_bfs.txt; '
'echo done'
)
)
).result()
self.assertEqual(
Helpers.wait_for_job_completion(self.is_live, self.client, resource_group.name, job.name, Helpers.MINUTE),
models.ExecutionState.succeeded)
job = self.client.jobs.get(resource_group.name, Helpers.DEFAULT_WORKSPACE_NAME, Helpers.DEFAULT_EXPERIMENT_NAME,
job.name)
# Assert job and job prep standard output is populated on cluster level filesystem
Helpers.assert_job_files_are(self, self.client, resource_group.name, job.name,
Helpers.STANDARD_OUTPUT_DIRECTORY_ID,
{u'stdout.txt': u'done\n', u'stderr.txt': u'',
u'stdout-job_prep.txt': u'done\n', u'stderr-job_prep.txt': u''})
# Assert files are generated on job level AFS
Helpers.assert_job_files_are(self, self.client, resource_group.name, job.name, 'OUTPUT1',
{u'job_afs.txt': u'afs\n', u'prep_afs.txt': u'afs\n', u'afs': None})
# Assert files are generated on job level blobfuse
Helpers.assert_job_files_are(self, self.client, resource_group.name, job.name, 'OUTPUT2',
{u'job_bfs.txt': u'bfs\n', u'prep_bfs.txt': u'bfs\n', u'bfs': None})
# Assert subfolders are available via API
Helpers.assert_job_files_in_path_are(self, self.client, resource_group.name, job.name, 'OUTPUT1',
'afs', {u'job_afs.txt': u'afs\n'})
Helpers.assert_job_files_in_path_are(self, self.client, resource_group.name, job.name, 'OUTPUT2',
'bfs', {u'job_bfs.txt': u'bfs\n'})
# Assert that we can access the output files created on job level mount volumes directly in storage using path
# segment returned by the server.
if storage_account.name != Helpers.FAKE_STORAGE.name:
files = FileService(storage_account.name, storage_account_key)
self.assertTrue(
files.exists('jobshare', job.job_output_directory_path_segment +
'/' + Helpers.OUTPUT_DIRECTORIES_FOLDER_NAME, 'job_afs.txt'))
blobs = BlockBlobService(storage_account.name, storage_account_key)
self.assertTrue(
blobs.exists('jobcontainer', job.job_output_directory_path_segment +
'/' + Helpers.OUTPUT_DIRECTORIES_FOLDER_NAME + '/job_bfs.txt'))
# After the job is done the filesystems should be unmounted automatically, check this by submitting a new job.
checker = self.client.jobs.create(
resource_group.name,
Helpers.DEFAULT_WORKSPACE_NAME,
Helpers.DEFAULT_EXPERIMENT_NAME,
'checker',
parameters=models.JobCreateParameters(
location=location,
cluster=models.ResourceId(id=cluster.id),
node_count=1,
std_out_err_path_prefix='$AZ_BATCHAI_MOUNT_ROOT/{0}'.format(Helpers.AZURE_FILES_MOUNTING_PATH),
custom_toolkit_settings=models.CustomToolkitSettings(
command_line='echo job; df | grep -E "job_bfs|job_afs"'
)
)
).result()
# Check the job failed because there are not job level mount volumes anymore
self.assertEqual(
Helpers.wait_for_job_completion(self.is_live, self.client, resource_group.name, checker.name,
Helpers.MINUTE),
models.ExecutionState.failed)
# Check that the cluster level AFS was still mounted
Helpers.assert_job_files_are(self, self.client, resource_group.name, checker.name,
Helpers.STANDARD_OUTPUT_DIRECTORY_ID,
{u'stdout.txt': u'job\n', u'stderr.txt': u''})
@ResourceGroupPreparer(location=Helpers.LOCATION)
@StorageAccountPreparer(name_prefix='psdk', location=Helpers.LOCATION, playback_fake_resource=Helpers.FAKE_STORAGE)
@ClusterPreparer(target_nodes=1)
def test_job_environment_variables_and_secrets(self, resource_group, location, cluster):
"""Tests if it's possible to mount external file systems for a job."""
job_name = 'job'
job = self.client.jobs.create(
resource_group.name,
Helpers.DEFAULT_WORKSPACE_NAME,
Helpers.DEFAULT_EXPERIMENT_NAME,
job_name,
parameters=models.JobCreateParameters(
cluster=models.ResourceId(id=cluster.id),
node_count=1,
std_out_err_path_prefix='$AZ_BATCHAI_MOUNT_ROOT/{0}'.format(Helpers.AZURE_FILES_MOUNTING_PATH),
environment_variables=[
models.EnvironmentVariable(name='VARIABLE', value='VALUE')
],
secrets=[
models.EnvironmentVariableWithSecretValue(name='SECRET_VARIABLE', value='SECRET')
],
# Check that the job preparation has access to env variables and secrets.
job_preparation=models.JobPreparation(
command_line='echo $VARIABLE $SECRET_VARIABLE'
),
# Check that the job has access to env variables and secrets.
custom_toolkit_settings=models.CustomToolkitSettings(
command_line='echo $VARIABLE $SECRET_VARIABLE'
)
)
).result() # type: models.Job
self.assertEqual(
Helpers.wait_for_job_completion(self.is_live, self.client, resource_group.name, job.name, Helpers.MINUTE),
models.ExecutionState.succeeded)
# Check that environment variables are reported by the server.
self.assertEqual(len(job.environment_variables), 1)
self.assertEqual(job.environment_variables[0].name, 'VARIABLE')
self.assertEqual(job.environment_variables[0].value, 'VALUE')
# Check that secrets are reported back by server, but value is not reported.
self.assertEqual(len(job.secrets), 1)
self.assertEqual(job.secrets[0].name, 'SECRET_VARIABLE')
self.assertIsNone(job.secrets[0].value)
# Check that job and job prep had access to the env variables and secrets.
Helpers.assert_job_files_are(self, self.client, resource_group.name, job.name,
Helpers.STANDARD_OUTPUT_DIRECTORY_ID,
{u'stdout.txt': u'VALUE SECRET\n', u'stderr.txt': u'',
u'stdout-job_prep.txt': u'VALUE SECRET\n', u'stderr-job_prep.txt': u''})
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