2015年：奠定现代技术生态的关键技术文章回顾

# 2015年Kubernetes v1.0版本的Deployment示例
apiVersion: extensions/v1beta1
kind: Deployment
metadata:
  name: nginx-deployment
spec:
  replicas: 3 # 运行3个Pod副本
  template:
    metadata:
      labels:
        app: nginx
    spec:
      containers:
      - name: nginx
        image: nginx:1.9.5 # 2015年主流稳定版本
        ports:
        - containerPort: 80
        resources:
          requests:
            cpu: "100m"
            memory: "128Mi"
          limits:
            cpu: "500m"
            memory: "256Mi"

import tensorflow as tf
 
# 加载MNIST数据集
from tensorflow.examples.tutorials.mnist import input_data
mnist = input_data.read_data_sets("/tmp/data/", one_hot=True)
 
# 定义CNN模型
x = tf.placeholder(tf.float32, [None, 784])
y = tf.placeholder(tf.float32, [None, 10])
x_image = tf.reshape(x, [-1, 28, 28, 1])
 
conv1 = tf.layers.conv2d(x_image, 32, 3, activation=tf.nn.relu)
pool1 = tf.layers.max_pooling2d(conv1, 2, 2)
flat = tf.layers.flatten(pool1)
dense = tf.layers.dense(flat, 128, activation=tf.nn.relu)
logits = tf.layers.dense(dense, 10)
 
# 定义损失函数与优化器
loss = tf.reduce_mean(tf.nn.softmax_cross_entropy_with_logits(logits=logits, labels=y))
optimizer = tf.train.AdamOptimizer(0.001).minimize(loss)
 
# 训练模型
with tf.Session() as sess:
    sess.run(tf.global_variables_initializer())
    for step in range(1000):
        batch_x, batch_y = mnist.train.next_batch(100)
        sess.run(optimizer, feed_dict={x: batch_x, y: batch_y})
        if step % 100 == 0:
            acc = sess.run(tf.reduce_mean(tf.cast(tf.equal(tf.argmax(logits,1), tf.argmax(y,1)), tf.float32)),
                          feed_dict={x: mnist.test.images, y: mnist.test.labels})
            print(f"Step {step}, Accuracy: {acc:.4f}")

// 展示组件：仅负责UI渲染（无状态）
const TodoList = ({ todos, onTodoClick }) => (
  <ul>
    {todos.map(todo => (
      <li
        key={todo.id}
        onClick={() => onTodoClick(todo.id)}
        style={{ textDecoration: todo.completed ? 'line-through' : 'none' }}
      >
        {todo.text}
      </li>
    ))}
  </ul>
);
 
// 容器组件：负责数据获取与状态管理
class TodoListContainer extends React.Component {
  constructor(props) {
    super(props);
    this.state = {
      todos: [
        { id: 1, text: '学习React组件化', completed: false },
        { id: 2, text: '完成文章撰写', completed: false }
      ]
    };
  }
 
  handleTodoClick = (id) => {
    this.setState(prevState => ({
      todos: prevState.todos.map(todo =>
        todo.id === id ? {...todo, completed: !todo.completed} : todo
      )
    }));
  };
 
  render() {
    return (
      <TodoList
        todos={this.state.todos}
        onTodoClick={this.handleTodoClick}
      />
    );
  }
}
 
// 渲染到DOM
ReactDOM.render(<TodoListContainer />, document.getElementById('root'));

// 消费者端契约定义
const pact = require('@pact-foundation/pact');
const { PactV3, MatchersV3 } = pact;
 
const provider = new PactV3({
  consumer: 'TodoFrontend',
  provider: 'TodoBackend'
});
 
describe('TodoBackend API', () => {
  beforeAll(() => provider.setup());
  afterAll(() => provider.finalize());
  afterEach(() => provider.verify());
 
  it('should return a list of todos', () => {
    // 定义契约
    provider.given('todos exist')
      .uponReceiving('a request for todos')
      .withRequest({
        method: 'GET',
        path: '/todos'
      })
      .willRespondWith({
        status: 200,
        body: MatchersV3.eachLike({
          id: MatchersV3.integer(1),
          text: MatchersV3.string('Learn Pact'),
          completed: MatchersV3.boolean(false)
        })
      });
 
    // 调用API并验证
    return fetch('http://localhost:1234/todos')
      .then(response => response.json())
      .then(todos => {
        expect(todos.length).toBeGreaterThan(0);
      });
  });
});

pipeline {
  agent any
  stages {
    stage('Checkout') {
      steps {
        git url: 'https://github.com/example/todo-app.git', branch: 'master'
      }
    }
    stage('Build') {
      steps {
        sh 'npm install'
        sh 'npm run build'
      }
    }
    stage('Test') {
      steps {
        sh 'npm run test'
      }
      post {
        always {
          junit 'reports/**/*.xml'
        }
      }
    }
    stage('Deploy') {
      steps {
        sh 'kubectl apply -f deployment.yaml'
      }
    }
  }
  post {
    success {
      slackSend channel: '#devops', message: '部署成功：Todo App v1.0'
    }
    failure {
      slackSend channel: '#devops', message: '部署失败，请检查流水线'
    }
  }
}