create_hyperparameter_tuning_job_python_package_sample_test.py

# Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import uuid
import pytest
import os

import helpers

import create_hyperparameter_tuning_job_python_package_sample

from google.cloud import aiplatform

PROJECT_ID = os.getenv("BUILD_SPECIFIC_GCLOUD_PROJECT")

API_ENDPOINT = "us-central1-aiplatform.googleapis.com"

DISPLAY_NAME = (
    f"temp_create_hyperparameter_tuning_job_python_package_test_{uuid.uuid4()}"
)

EXECUTOR_IMAGE_URI = "us.gcr.io/cloud-aiplatform/training/tf-gpu.2-1:latest"
PACKAGE_URI = "gs://ucaip-test-us-central1/training/pythonpackages/trainer.tar.bz2"
PYTHON_MODULE = "trainer.hptuning_trainer"

@pytest.fixture
def shared_state():
    state = {}
    yield state


@pytest.fixture
def job_client():
    client_options = {"api_endpoint": API_ENDPOINT}
    job_client = aiplatform.gapic.JobServiceClient(
        client_options=client_options)
    yield job_client


@pytest.fixture(scope="function", autouse=True)
def teardown(shared_state, job_client):
    yield

    # Cancel the created hyperparameter tuning job
    job_client.cancel_hyperparameter_tuning_job(
        name=shared_state["hyperparameter_tuning_job_name"]
    )

    # Waiting for hyperparameter tuning job to be in CANCELLED state
    helpers.wait_for_job_state(
        get_job_method=job_client.get_hyperparameter_tuning_job,
        name=shared_state["hyperparameter_tuning_job_name"],
    )

    # Delete the created hyperparameter tuning job
    job_client.delete_hyperparameter_tuning_job(
        name=shared_state["hyperparameter_tuning_job_name"]
    )


def test_create_hyperparameter_tuning_job_python_package_sample(capsys, shared_state):

    create_hyperparameter_tuning_job_python_package_sample.create_hyperparameter_tuning_job_python_package_sample(
        project=PROJECT_ID,
        display_name=DISPLAY_NAME,
        executor_image_uri=EXECUTOR_IMAGE_URI,
        package_uri=PACKAGE_URI,
        python_module=PYTHON_MODULE,
    )

    out, _ = capsys.readouterr()
    assert "response" in out

    shared_state["hyperparameter_tuning_job_name"] = helpers.get_name(out)