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fix: Widen system test timeout, handle tearing down failed training pipelines #791

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merged 2 commits into from Oct 26, 2021
Merged

fix: Widen system test timeout, handle tearing down failed training pipelines #791

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4abf1a9
Widen system test timeout to 5 hours
vinnysenthil Oct 25, 2021
d7f0eba
Catch training pipeline failures in teardown
vinnysenthil Oct 25, 2021
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3 changes: 3 additions & 0 deletions .kokoro/continuous/system.cfg
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Expand Up @@ -10,3 +10,6 @@ env_vars: {
key: "PYTEST_ADDOPTS"
value: "-n=auto --dist=loadscope"
}

# Kokoro VM timeout of 5 hours for system tests
timeout_mins: 300
35 changes: 21 additions & 14 deletions samples/snippets/conftest.py
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Expand Up @@ -15,6 +15,8 @@
import os
from uuid import uuid4

from google.api_core import exceptions

from google.cloud import aiplatform, aiplatform_v1beta1
from google.cloud import bigquery
from google.cloud import storage
Expand Down Expand Up @@ -175,22 +177,27 @@ def teardown_hyperparameter_tuning_job(shared_state, job_client):
def teardown_training_pipeline(shared_state, pipeline_client):
yield

pipeline_client.cancel_training_pipeline(
name=shared_state["training_pipeline_name"]
)
try:
pipeline_client.cancel_training_pipeline(
name=shared_state["training_pipeline_name"]
)

# Waiting for training pipeline to be in CANCELLED state
timeout = shared_state["cancel_batch_prediction_job_timeout"]
helpers.wait_for_job_state(
get_job_method=pipeline_client.get_training_pipeline,
name=shared_state["training_pipeline_name"],
timeout=timeout,
)
# Waiting for training pipeline to be in CANCELLED state
timeout = shared_state["cancel_batch_prediction_job_timeout"]
helpers.wait_for_job_state(
get_job_method=pipeline_client.get_training_pipeline,
name=shared_state["training_pipeline_name"],
timeout=timeout,
)

# Delete the training pipeline
pipeline_client.delete_training_pipeline(
name=shared_state["training_pipeline_name"]
)
except exceptions.FailedPrecondition:
pass # If pipeline failed, ignore and skip directly to deletion

finally:
# Delete the training pipeline
pipeline_client.delete_training_pipeline(
name=shared_state["training_pipeline_name"]
)


@pytest.fixture()
Expand Down