Python 脚本部署和发布 Django 应用程序的示例代码及注释

import yaml
import subprocess

# 定义要部署的 Django 应用程序名称
APP_NAME = "my-django-app"

# 定义要使用的 Docker 镜像名称和标签
IMAGE_NAME = "my-django-app-image"
IMAGE_TAG = "latest"

# 定义 Kubernetes Deployment 的 YAML 文件模板
DEPLOYMENT_TEMPLATE = """
apiVersion: apps/v1
kind: Deployment
metadata:
  name: {app_name}
spec:
  selector:
    matchLabels:
      app: {app_name}
  replicas: 3
  template:
    metadata:
      labels:
        app: {app_name}
    spec:
      containers:
      - name: {app_name}
        image: {image_name}:{image_tag}
        ports:
        - containerPort: 8000
"""

# 定义 Kubernetes Service 的 YAML 文件模板
SERVICE_TEMPLATE = """
apiVersion: v1
kind: Service
metadata:
  name: {app_name}-service
spec:
  selector:
    app: {app_name}
  ports:
  - protocol: TCP
    port: 80
    targetPort: 8000
  type: LoadBalancer
"""

# 将 Deployment YAML 文件模板中的变量替换为实际的值
deployment_yaml = DEPLOYMENT_TEMPLATE.format(
    app_name=APP_NAME,
    image_name=IMAGE_NAME,
    image_tag=IMAGE_TAG,
)

# 将 Service YAML 文件模板中的变量替换为实际的值
service_yaml = SERVICE_TEMPLATE.format(
    app_name=APP_NAME,
)

# 将 Deployment 和 Service YAML 文件保存到本地文件中
with open("deployment.yaml", "w") as f:
    f.write(deployment_yaml)
with open("service.yaml", "w") as f:
    f.write(service_yaml)

# 使用 kubectl 命令部署 Deployment 和 Service
subprocess.run("kubectl apply -f deployment.yaml", shell=True, check=True)
subprocess.run("kubectl apply -f service.yaml", shell=True, check=True)

# 获取 Service 的 IP 地址和端口号
service_info = subprocess.check_output(
    "kubectl get service {}-service -o json".format(APP_NAME), shell=True
)
service_data = yaml.safe_load(service_info)
service_ip = service_data["status"]["loadBalancer"]["ingress"][0]["ip"]
service_port = service_data["spec"]["ports"][0]["port"]

# 输出 Django 应用程序的访问 URL
print("Your Django application is now running at http://{}:{}".format(service_ip, service_port))