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Automl edge predict test #2195

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Merged
merged 5 commits into from
Jun 5, 2019
Merged

Automl edge predict test #2195

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89478ee
update test
dizcology May 21, 2019
a4ef85a
use python-docker image
dizcology May 24, 2019
6eeb8e4
update test to get test image from path
dizcology May 24, 2019
821eadb
use updated python-docker image
dizcology May 25, 2019
cb15b9d
update common.cfg to use the udpated python image
dizcology Jun 5, 2019
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2 changes: 1 addition & 1 deletion .kokoro/common.cfg
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Original file line number Diff line number Diff line change
Expand Up @@ -9,7 +9,7 @@ build_file: "python-docs-samples/.kokoro/trampoline.sh"
# Use the Python worker docker image.
env_vars: {
key: "TRAMPOLINE_IMAGE"
value: "gcr.io/cloud-devrel-kokoro-resources/python@sha256:e11a459d01e5dcd3613fda35c7c94edfecfe911ed79c078580ff59de300b1938"
value: "gcr.io/cloud-devrel-kokoro-resources/python@sha256:9f83a3711eef244a4d45ac25028e200c87c4d4060d445438683a1ed4d3f093b6"
}

# Specify project ID
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18 changes: 8 additions & 10 deletions vision/automl/edge_container_predict/automl_vision_edge_container_predict_test.py
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Expand Up @@ -37,14 +37,14 @@

# The absolute path of the current file. This will locate the model_path when
# run docker containers.
ROOT_DIR = os.path.abspath(os.path.dirname(__file__))
ROOT_DIR = os.environ.get('KOKORO_ROOT', os.path.abspath(os.path.dirname(__file__)))
MODEL_PATH = os.path.join(ROOT_DIR, 'model_path')

IMAGE_FILE_PATH = os.path.join(os.path.dirname(__file__), 'test.jpg')
# The cpu docker gcs path is from 'Edge container tutorial'.
DOCKER_GCS_DIR = 'gcr.io/automl-vision-ondevice/'
CPU_DOCKER_GCS_PATH = DOCKER_GCS_DIR + 'gcloud-container-1.12.0:latest'
CPU_DOCKER_GCS_PATH = 'gcr.io/automl-vision-ondevice/gcloud-container-1.12.0:latest'
# The path of a sample saved model.
MODEL_GCS_DIR = 'gs://cloud-samples-data/vision/edge_container_predict/'
SAMPLE_SAVED_MODEL = MODEL_GCS_DIR + 'saved_model.pb'
SAMPLE_SAVED_MODEL = 'gs://cloud-samples-data/vision/edge_container_predict/saved_model.pb'
# Container Name.
NAME = 'AutomlVisionEdgeContainerPredictTest'
# Port Number.
Expand All @@ -56,8 +56,8 @@ def edge_container_predict_server_port():
# set up
# Pull the CPU docker.
subprocess.check_output(['docker', 'pull', CPU_DOCKER_GCS_PATH])
# Get the sample saved model.

# Get the sample saved model.
if not os.path.exists(MODEL_PATH):
os.mkdir(MODEL_PATH)
subprocess.check_output(
Expand All @@ -79,18 +79,16 @@ def edge_container_predict_server_port():
# Remove the docker image.
subprocess.check_output(['docker', 'rmi', CPU_DOCKER_GCS_PATH])

# TODO(dizcology): Enable tests in future.
@pytest.mark.skip(reason='skipping to avoid running docker in docker')

def test_edge_container_predict(capsys, edge_container_predict_server_port):
image_file_path = 'test.jpg'
# If you send requests with one image each time, the key value does not
# matter. If you send requests with multiple images, please used different
# keys to indicated different images, which can make sure that the
# responses corresponding to the given image.
image_key = '1'
# Send a request.
response = predict.container_predict(
image_file_path, image_key, PORT_NUMBER)
IMAGE_FILE_PATH, image_key, PORT_NUMBER)
# Verify the response.
assert 'predictions' in response
assert 'key' in response['predictions'][0]
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