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ericschmidtatworkTakashi Matsuo
ericschmidtatwork
and
Takashi Matsuo
authored
Memorystore: Add Dockerfile for Cloud Run deployment (GoogleCloudPlatform#4191)
* Add .gcloudignore and Dockerfile for Cloud Run deployment * memorystore/redis: Add e2e test for Cloud Run * memorystore/redis: Update CR e2e test to create VPC network * Update gcloud SDK in kokoro Dockerfile to 304.0.0 Co-authored-by: Takashi Matsuo <[email protected]>
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‎.kokoro/docker/Dockerfile

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@@ -148,7 +148,7 @@ RUN rm /tmp/get-pip.py
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RUN pip install --no-cache-dir virtualenv
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# Setup Cloud SDK
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ENV CLOUD_SDK_VERSION 293.0.0
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ENV CLOUD_SDK_VERSION 304.0.0
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# Use system python for cloud sdk.
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ENV CLOUDSDK_PYTHON python3.6
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RUN wget https://dl.google.com/dl/cloudsdk/channels/rapid/downloads/google-cloud-sdk-$CLOUD_SDK_VERSION-linux-x86_64.tar.gz

‎memorystore/redis/.gcloudignore

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cloud_run_deployment/
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gae_flex_deployment/
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gae_standard_deployment/
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gae_standard_py2_deployment/
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gce_deployment/
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gke_deployment/
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README.md

‎memorystore/redis/cloud_run_deployment/Dockerfile

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# Use the official lightweight Python image.
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# https://hub.docker.com/_/python
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FROM python:3.7-slim
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# Copy local code to the container image.
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ENV APP_HOME /app
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WORKDIR $APP_HOME
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COPY . ./
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# Install production dependencies.
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RUN pip install -r requirements.txt
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# Run the web service on container startup. Here we use the gunicorn
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# webserver, with one worker process and 8 threads.
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# For environments with multiple CPU cores, increase the number of workers
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# to be equal to the cores available.
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CMD exec gunicorn --bind :$PORT --workers 1 --threads 8 --timeout 0 main:app

‎memorystore/redis/cloud_run_deployment/e2e_test.py

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# Copyright 2020 Google, LLC.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# This test creates a Memorystore instance, Serverless VPC Access
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# connector, and Cloud Run service and tests that the Cloud Run
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# service can reach the Memorystore instance.
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import os
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import re
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import subprocess
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from urllib import request
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import uuid
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import pytest
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@pytest.fixture()
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def services():
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# Unique suffix to create distinct service names
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suffix = uuid.uuid4().hex[:10]
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project = os.environ["GOOGLE_CLOUD_PROJECT"]
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# Create a VPC network
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network_name = f"test-network-{suffix}"
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subprocess.run(
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[
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"gcloud",
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"compute",
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"networks",
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"create",
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network_name,
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"--project",
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project,
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], check=True
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)
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# Create a Serverless VPC Access connector
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connector_name = f"test-connector-{suffix}"
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subprocess.run(
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[
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"gcloud",
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"compute",
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"networks",
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"vpc-access",
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"connectors",
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"create",
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connector_name,
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"--network",
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network_name,
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"--region=us-central1",
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"--range=192.168.16.0/28",
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"--project",
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project,
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], check=True
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)
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# Create a Memorystore Redis instance
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instance_name = f"test-instance-{suffix}"
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subprocess.run(
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[
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"gcloud",
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"redis",
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"instances",
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"create",
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instance_name,
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"--region=us-central1",
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"--network",
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network_name,
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"--project",
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project,
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], check=True
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)
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# Get the Redis instance's IP
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redis_host = subprocess.run(
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[
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"gcloud",
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"redis",
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"instances",
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"describe",
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instance_name,
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"--region=us-central1",
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"--format=value(host)",
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"--project",
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project,
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],
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stdout=subprocess.PIPE,
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check=True
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).stdout.strip().decode()
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# Build container image for Cloud Run deployment
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image_name = f"gcr.io/{project}/test-visit-count-{suffix}"
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subprocess.run(
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[
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"cp",
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"cloud_run_deployment/Dockerfile",
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".",
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], check=True
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)
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subprocess.run(
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[
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"gcloud",
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"builds",
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"submit",
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"--tag",
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image_name,
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"--project",
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project,
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], check=True
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)
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subprocess.run(["rm", "Dockerfile"], check=True)
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# Deploy image to Cloud Run
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service_name = f"test-visit-count-{suffix}"
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subprocess.run(
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[
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"gcloud",
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"run",
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"deploy",
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service_name,
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"--image",
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image_name,
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"--platform=managed",
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"--no-allow-unauthenticated",
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"--region=us-central1",
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"--vpc-connector",
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connector_name,
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"--set-env-vars",
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f"REDISHOST={redis_host},REDISPORT=6379",
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"--project",
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project,
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], check=True
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)
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# Get Cloud Run service URL and auth token
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service_url = subprocess.run(
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[
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"gcloud",
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"run",
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"services",
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"describe",
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service_name,
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"--platform=managed",
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"--region=us-central1",
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"--format=value(status.url)",
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"--project",
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project,
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],
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stdout=subprocess.PIPE,
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check=True
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).stdout.strip().decode()
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auth_token = subprocess.run(
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["gcloud", "auth", "print-identity-token"],
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stdout=subprocess.PIPE,
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check=True
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).stdout.strip().decode()
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yield service_url, auth_token
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# Delete Cloud Run service
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subprocess.run(
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[
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"gcloud",
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"run",
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"services",
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"delete",
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service_name,
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"--platform=managed",
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"--region=us-central1",
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"--quiet",
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"--project",
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project,
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], check=True
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)
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# Delete container image
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subprocess.run(
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[
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"gcloud",
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"container",
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"images",
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"delete",
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image_name,
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"--quiet",
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"--project",
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project,
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], check=True
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)
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# Delete Redis instance
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subprocess.run(
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[
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"gcloud",
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"redis",
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"instances",
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"delete",
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instance_name,
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"--region=us-central1",
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"--quiet",
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"--async",
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"--project",
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project,
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], check=True
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)
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# Delete Serverless VPC Access connector
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subprocess.run(
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[
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"gcloud",
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"compute",
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"networks",
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"vpc-access",
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"connectors",
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"delete",
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connector_name,
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"--region=us-central1",
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"--quiet",
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"--project",
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project,
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], check=True
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)
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# Delete VPC network
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subprocess.run(
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[
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"gcloud",
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"compute",
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"networks",
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"delete",
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network_name,
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"--quiet",
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"--project",
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project,
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], check=True
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)
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def test_end_to_end(services):
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service_url, auth_token = services
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req = request.Request(
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service_url,
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headers={
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"Authorization": f"Bearer {auth_token}"
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}
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)
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response = request.urlopen(req)
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assert response.status == 200
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body = response.read().decode()
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assert re.search(r"Visitor number: \d+", body) is not None

‎memorystore/redis/main.py

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if __name__ == '__main__':
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# This is used when running locally. Gunicorn is used to run the
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# application on Google App Engine. See entrypoint in app.yaml.
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# application on Google App Engine and Cloud Run.
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# See entrypoint in app.yaml or Dockerfile.
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app.run(host='127.0.0.1', port=8080, debug=True)
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# [END memorystore_main_py]

‎memorystore/redis/noxfile_config.py

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# Copyright 2020 Google LLC
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# Default TEST_CONFIG_OVERRIDE for python repos.
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# You can copy this file into your directory, then it will be imported from
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# the noxfile.py.
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# The source of truth:
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# https://github.com/GoogleCloudPlatform/python-docs-samples/blob/master/noxfile_config.py
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TEST_CONFIG_OVERRIDE = {
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# You can opt out from the test for specific Python versions.
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# We only run the cloud run tests in py38 session.
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'ignored_versions': ["2.7", "3.6", "3.7"],
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# An envvar key for determining the project id to use. Change it
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# to 'BUILD_SPECIFIC_GCLOUD_PROJECT' if you want to opt in using a
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# build specific Cloud project. You can also use your own string
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# to use your own Cloud project.
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'gcloud_project_env': 'GOOGLE_CLOUD_PROJECT',
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# 'gcloud_project_env': 'BUILD_SPECIFIC_GCLOUD_PROJECT',
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# A dictionary you want to inject into your test. Don't put any
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# secrets here. These values will override predefined values.
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'envs': {},
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}

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