cli_auth = AzureCliAuthentication()
ws = Workspace(workspace_name=workspace,
subscription_id=subscription_id,
resource_group=resource_grp,
auth=cli_auth)
model_list = Model.list(workspace=ws)
model, = (m for m in model_list
if m.version == model_version and m.name == model_name)
print("Model picked: {} \nModel Description: {} \nModel Version: {}".format(
model.name, model.description, model.version))
try:
service = AksWebservice(name=service_name, workspace=ws)
print("delete " + service_name + " before creating new one")
service.delete()
except:
print(service_name + " does not exist yet")
os.chdir("deploy")
# Add model name to scorefile
with open("scoreSparkTemplate.py") as fr:
score = fr.read()
score = score.replace("{model_name}", model_name)
#
with open("scoreSpark.py", "w") as fw:
fw.write(score)
#inference_config = InferenceConfig(entry_script='scoreSpark.py', runtime='spark-py', conda_file='myenv.yml')
deployment_target=aks_test_cluster)
# Show output of the deployment on stdout
test_service.wait_for_deployment(show_output=True)
print(test_service.state)
# Checking status of test web service
print("Checking status of AKS Test Deployment")
if test_service.state != "Healthy":
raise Exception(
"Test Deployment on AKS failed with the following status: {} and logs: \n{}"
.format(test_service.state, test_service.get_logs()))
# Testing AKS web service
print("Testing AKS test web service")
test_sample = test_functions.get_test_data_sample()
print("Test Sample: ", test_sample)
test_sample_encoded = bytes(test_sample, encoding='utf8')
try:
prediction = test_service.run(input_data=test_sample)
print(prediction)
except Exception as e:
result = str(e)
logs = test_service.get_logs()
test_service.delete()
raise Exception(
"AKS Test web service is not working as expected: \n{} \nLogs: \n{}".
format(result, logs))
# Delete test AKS service after test
print("Deleting AKS Test web service after successful test")
test_service.delete()