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# 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.
# This tests the Pub/Sub image processing sample
import os
import subprocess
import time
import uuid
from google.api_core.exceptions import NotFound
from google.cloud import pubsub_v1
from google.cloud import storage
from google.cloud.storage import Blob, notification
import pytest
SUFFIX = uuid.uuid4().hex
PROJECT = os.environ["GOOGLE_CLOUD_PROJECT"]
AR_REPO_URL = f"us-central1-docker.pkg.dev/{PROJECT}/cloud-run-source-deploy"
INPUT_BUCKET = f"image-proc-input-{SUFFIX}"
OUTPUT_BUCKET = f"image-proc-output-{SUFFIX}"
TOPIC = f"image_proc_{SUFFIX}"
@pytest.fixture
def deployed_service(output_bucket):
# Deploy image to Cloud Run
service_name = f"image-proc-{SUFFIX}"
subprocess.check_call(
[
"gcloud",
"builds",
"submit",
"--config",
"cloudbuild.yaml",
"--project",
PROJECT,
f"--substitutions=_SERVICE_NAME={service_name},_BLURRED_BUCKET_NAME={output_bucket.name}",
]
)
yield service_name
subprocess.check_call(
[
"gcloud",
"run",
"services",
"delete",
service_name,
"--platform=managed",
"--region=us-central1",
"--quiet",
"--async",
"--project",
PROJECT,
]
)
@pytest.fixture
def service_url(deployed_service):
# Get the URL for the cloud run service
service_url = subprocess.run(
[
"gcloud",
"run",
"--project",
PROJECT,
"services",
"describe",
deployed_service,
"--platform=managed",
"--region=us-central1",
"--format=value(status.url)",
],
stdout=subprocess.PIPE,
check=True,
).stdout.strip()
yield service_url.decode()
@pytest.fixture()
def pubsub_topic():
publisher = pubsub_v1.PublisherClient()
topic_path = publisher.topic_path(PROJECT, TOPIC)
publisher.create_topic(request={"name": topic_path})
yield TOPIC
try:
publisher.delete_topic(request={"topic": topic_path})
except NotFound:
print("Topic not found, it was either never created or was already deleted.")
@pytest.fixture(autouse=True)
def pubsub_subscription(pubsub_topic, service_url):
# Create pubsub push subscription to Cloud Run Service
# Attach service account with Cloud Run Invoker role
# See tutorial for details on setting up service-account:
# https://cloud.google.com/run/docs/tutorials/pubsub
publisher = pubsub_v1.PublisherClient()
subscriber = pubsub_v1.SubscriberClient()
subscription_id = f"{pubsub_topic}_sub"
topic_path = publisher.topic_path(PROJECT, pubsub_topic)
subscription_path = subscriber.subscription_path(PROJECT, subscription_id)
push_config = pubsub_v1.types.PushConfig(
push_endpoint=service_url,
oidc_token=pubsub_v1.types.PushConfig.OidcToken(
service_account_email=f"cloud-run-invoker@{PROJECT}.iam.gserviceaccount.com"
),
)
# wrapping in 'with' block automatically calls close on gRPC channel
with subscriber:
subscriber.create_subscription(
request={
"name": subscription_path,
"topic": topic_path,
"push_config": push_config,
}
)
yield
subscriber = pubsub_v1.SubscriberClient()
# delete subscription
with subscriber:
try:
subscriber.delete_subscription(request={"subscription": subscription_path})
except NotFound:
print(
"Unable to delete - subscription either never created or already deleted."
)
@pytest.fixture()
def input_bucket(pubsub_topic):
# Create GCS Bucket
storage_client = storage.Client()
storage_client.create_bucket(INPUT_BUCKET)
# Get input bucket
input_bucket = storage_client.get_bucket(INPUT_BUCKET)
# Create pub/sub notification on input_bucket
notification.BucketNotification(
input_bucket,
topic_name=pubsub_topic,
topic_project=PROJECT,
payload_format="JSON_API_V1",
).create()
yield input_bucket
# Delete GCS bucket
input_bucket.delete(force=True)
@pytest.fixture()
def output_bucket(pubsub_topic):
# Create GCS Bucket
storage_client = storage.Client()
storage_client.create_bucket(OUTPUT_BUCKET)
# Get output bucket
output_bucket = storage_client.get_bucket(OUTPUT_BUCKET)
yield output_bucket
# Delete GCS bucket
output_bucket.delete(force=True)
@pytest.mark.flaky(max_runs=3, min_passes=1)
def test_end_to_end(input_bucket, output_bucket):
# Upload image to the input bucket
blob = Blob("zombie.jpg", input_bucket)
blob.upload_from_filename("test-images/zombie.jpg", content_type="image/jpeg")
# Wait for image processing to complete
time.sleep(60)
# Sometimes we may have to wait even longer. Check every 10 seconds for 5 minutes.
for x in range(30):
# Check for blurred image in output bucket
output_blobs = list(output_bucket.list_blobs())
if len(output_blobs) > 0:
break
time.sleep(10)
assert len(output_blobs) > 0