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‎.github/workflows/build.yml

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name: Build
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on:
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push:
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branches:
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- master
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- develop
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pull_request:
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types: [opened, synchronize, reopened]
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jobs:
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build:
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name: Build
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v2
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with:
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fetch-depth: 0 # Shallow clones should be disabled for a better relevancy of analysis
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- name: Set up JDK 11
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uses: actions/setup-java@v1
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with:
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java-version: 11
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- name: Cache SonarCloud packages
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uses: actions/cache@v1
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with:
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path: ~/.sonar/cache
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key: ${{ runner.os }}-sonar
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restore-keys: ${{ runner.os }}-sonar
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- name: Cache Gradle packages
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uses: actions/cache@v1
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with:
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path: ~/.gradle/caches
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key: ${{ runner.os }}-gradle-${{ hashFiles('**/*.gradle') }}
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restore-keys: ${{ runner.os }}-gradle
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- name: Build and analyze
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env:
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GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} # Needed to get PR information, if any
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SONAR_TOKEN: ${{ secrets.SONAR_TOKEN }}
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run: ./gradlew build sonarqube --info

‎.gitignore

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build
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.gradle
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.vscode
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*.log
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*.jar
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*.war
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*.nar
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*.ear
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*.zip
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*.tar.gz
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*.rar
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# MAC
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**/.DS_Store
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# internal
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*internal*
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# GKE
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service-account.json
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# k8s
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python-ping-api.yaml
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# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[cod]

‎README.md

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# python-gradle
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Python, pytest, Gradle, Sonarqbue
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# Python sample project for GKE
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[![Quality Gate Status](https://sonarcloud.io/api/project_badges/measure?project=DevSecOpsSamples_gke-python-api&metric=alert_status)](https://sonarcloud.io/summary/new_code?id=DevSecOpsSamples_gke-python-api) [![Lines of Code](https://sonarcloud.io/api/project_badges/measure?project=DevSecOpsSamples_gke-python-api&metric=ncloc)](https://sonarcloud.io/summary/new_code?id=DevSecOpsSamples_gke-python-api)
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The sample project to deploy Python REST API application, Service, HorizontalPodAutoscaler, Ingress, and BackendConfig on GKE.
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- [app.py](app/app.py)
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- [python-ping-api-template.yaml](app/python-ping-api-template.yaml)
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---
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## Prerequisites
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### Installation
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- [Install the gcloud CLI](https://cloud.google.com/sdk/docs/install)
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- [Install kubectl and configure cluster access](https://cloud.google.com/kubernetes-engine/docs/how-to/cluster-access-for-kubectl)
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### Set environment variables
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```bash
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PROJECT_ID="sample-project" # replace with your project
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COMPUTE_ZONE="us-central1"
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```
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### Set GCP project
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```bash
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gcloud config set project ${PROJECT_ID}
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gcloud config set compute/zone ${COMPUTE_ZONE}
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```
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---
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## Create a GKE cluster
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Create an Autopilot GKE cluster. It may take around 9 minutes.
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```bash
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gcloud container clusters create-auto sample-cluster --region=${COMPUTE_ZONE}
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gcloud container clusters get-credentials sample-cluster
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```
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---
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## Deploy python-ping-api
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Build and push to GCR:
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```bash
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cd ../app
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docker build -t python-ping-api . --platform linux/amd64
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docker tag python-ping-api:latest gcr.io/${PROJECT_ID}/python-ping-api:latest
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gcloud auth configure-docker
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docker push gcr.io/${PROJECT_ID}/python-ping-api:latest
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```
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Create and deploy K8s Deployment, Service, HorizontalPodAutoscaler, Ingress, and GKE BackendConfig using the [python-ping-api-template.yaml](app/python-ping-api-template.yaml) template file.
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```bash
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sed -e "s|<project-id>|${PROJECT_ID}|g" python-ping-api-template.yaml > python-ping-api.yaml
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cat python-ping-api.yaml
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kubectl apply -f python-ping-api.yaml
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```
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It may take around 5 minutes to create a load balancer, including health checking.
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Confirm that pod configuration and logs after deployment:
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```bash
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kubectl logs -l app=python-ping-api
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kubectl describe pods
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kubectl get ingress python-ping-api-ingress
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```
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Confirm that response of `/ping` API.
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```bash
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LB_IP_ADDRESS=$(gcloud compute forwarding-rules list | grep python-ping-api | awk '{ print $2 }')
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echo ${LB_IP_ADDRESS}
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```
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```bash
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curl http://${LB_IP_ADDRESS}/ping
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```
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```json
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{
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"host": "<your-ingress-endpoint-ip>",
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"message": "ping-api",
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"method": "GET",
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"url": "http://<your-ingress-endpoint-ip>/ping"
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}
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```
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---
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## Screenshots
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- Loadbalncer
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![loadbalancer](./screenshots/loadbalancer.png?raw=true)
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- Loadbalncer Details
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![loadbalancer-details](./screenshots/loadbalancer-details.png?raw=true)
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---
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## Cleanup
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```bash
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kubectl delete -f app/python-ping-api.yaml
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gcloud container clusters delete sample-cluster
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```
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## References
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- [Cloud SDK > Documentation > Reference > gcloud container clusters](https://cloud.google.com/sdk/gcloud/reference/container/clusters)
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- [Google Kubernetes Engine (GKE) > Documentation > Guides > GKE Ingress for HTTP(S) Load Balancing](https://cloud.google.com/kubernetes-engine/docs/concepts/ingress)

‎app/Dockerfile

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FROM python:3.9-alpine
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VOLUME ./:app/
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COPY requirements.txt requirements.txt
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RUN pip install -r requirements.txt
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COPY . /app/
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WORKDIR /app
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EXPOSE 8000
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CMD ["gunicorn", "app:app", "--bind", "0.0.0.0:8000"]

‎app/app.py

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from flask import Flask
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from flask import request
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from flask import json
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from werkzeug.exceptions import HTTPException
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app = Flask(__name__)
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@app.route("/")
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def ping_root():
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return ping()
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@app.route("/<string:path1>")
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def ping_path1(path1):
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return ping()
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def ping():
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return {
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"host": request.host,
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"url": request.url,
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"method": request.method,
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"message": "ping-api"
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}
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@app.errorhandler(HTTPException)
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def handle_exception(e):
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response = e.get_response()
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response.data = json.dumps({
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"code": e.code,
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"name": e.name,
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"description": e.description,
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})
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response.content_type = "application/json"
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return response
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if __name__ == '__main__':
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app.debug = True
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app.run(host='0.0.0.0', port=8000)

‎app/deploy-test.sh

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#!/bin/bash
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set -e
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echo "PROJECT_ID: ${PROJECT_ID}"
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docker build -t python-ping-api . --platform linux/amd64
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docker tag python-ping-api:latest gcr.io/${PROJECT_ID}/python-ping-api:latest
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gcloud auth configure-docker
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docker push gcr.io/${PROJECT_ID}/python-ping-api:latest
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kubectl scale deployment python-ping-api --replicas=0
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kubectl scale deployment python-ping-api --replicas=3
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sleep 3
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kubectl get pods

‎app/local-test.sh

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#!/bin/bash
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set -e
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echo "PROJECT_ID: ${PROJECT_ID}"
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docker build -t python-ping-api . --platform linux/amd64
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docker tag python-ping-api:latest gcr.io/${PROJECT_ID}/python-ping-api:latest
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docker push gcr.io/${PROJECT_ID}/python-ping-api:latest
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docker run -it -p 8000:8000 gcr.io/${PROJECT_ID}/python-ping-api:latest
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curl http://127.0.0.1:8000

‎app/python-ping-api-template.yaml

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---
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apiVersion: apps/v1
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kind: Deployment
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metadata:
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name: python-ping-api
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annotations:
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app: python-ping-api
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spec:
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replicas: 2
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selector:
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matchLabels:
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app: python-ping-api
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template:
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metadata:
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labels:
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app: python-ping-api
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spec:
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containers:
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- name: python-ping-api
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image: gcr.io/<project-id>/python-ping-api:latest
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imagePullPolicy: Always
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ports:
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- containerPort: 8000
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resources:
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requests:
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cpu: "0.25"
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memory: "256Mi"
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---
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apiVersion: v1
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kind: Service
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metadata:
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name: python-ping-api
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annotations:
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app: python-ping-api
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cloud.google.com/backend-config: '{"default": "python-ping-api-backend-config"}'
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spec:
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selector:
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app: python-ping-api
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type: ClusterIP
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ports:
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- port: 8000
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targetPort: 8000
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protocol: TCP
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---
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apiVersion: networking.k8s.io/v1
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kind: Ingress
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metadata:
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name: python-ping-api-ingress
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annotations:
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app: python-ping-api
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kubernetes.io/ingress.class: gce
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spec:
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rules:
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- http:
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paths:
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- path: /*
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pathType: ImplementationSpecific
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backend:
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service:
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name: python-ping-api
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port:
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number: 8000
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---
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apiVersion: cloud.google.com/v1
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kind: BackendConfig
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metadata:
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name: python-ping-api-backend-config
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spec:
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healthCheck:
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checkIntervalSec: 10
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timeoutSec: 10
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healthyThreshold: 1
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unhealthyThreshold: 3
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port: 8000
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type: HTTP
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requestPath: /ping
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---
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apiVersion: autoscaling/v2beta2
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kind: HorizontalPodAutoscaler
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metadata:
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name: 'python-ping-api-hpa'
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spec:
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scaleTargetRef:
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apiVersion: apps/v1
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kind: Deployment
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name: 'python-ping-api'
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minReplicas: 2
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maxReplicas: 10
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metrics:
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- type: Resource
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resource:
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name: cpu
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target:
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type: Utilization
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averageUtilization: 50

‎app/requirements.txt

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Flask==2.1.1
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gunicorn==20.1.0

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