在Linux环境下,使用Swagger实现API监控与日志记录可以通过以下步骤进行:
首先,确保你的Linux系统上已经安装了Swagger。你可以使用npm(Node.js的包管理器)来安装Swagger。
sudo npm install -g swagger-ui-express
创建一个Swagger配置文件(通常是swagger.json),定义你的API规范。
{
"swagger": "2.0",
"info": {
"description": "Sample API",
"version": "1.0.0"
},
"host": "api.example.com",
"basePath": "/v1",
"schemes": [
"http"
],
"paths": {
"/users": {
"get": {
"summary": "List all users",
"responses": {
"200": {
"description": "A list of users",
"schema": {
"type": "array",
"items": {
"$ref": "#/definitions/User"
}
}
}
}
}
}
},
"definitions": {
"User": {
"type": "object",
"properties": {
"id": {
"type": "integer"
},
"name": {
"type": "string"
}
}
}
}
}
在你的Node.js应用中集成Swagger。以下是一个简单的Express应用示例:
const express = require('express');
const swaggerUi = require('swagger-ui-express');
const YAML = require('yamljs');
const app = express();
// Load Swagger document
const swaggerDocument = YAML.load('./swagger.json');
// Serve Swagger docs
app.use('/api-docs', swaggerUi.serve, swaggerUi.setup(swaggerDocument));
// Your API endpoints
app.get('/v1/users', (req, res) => {
res.json([
{ id: 1, name: 'John Doe' },
{ id: 2, name: 'Jane Doe' }
]);
});
const PORT = process.env.PORT || 3000;
app.listen(PORT, () => {
console.log(`Server is running on port ${PORT}`);
});
为了记录API请求和响应,你可以使用中间件来捕获这些信息。以下是一个简单的日志记录中间件示例:
const morgan = require('morgan');
const fs = require('fs');
const path = require('path');
// Create a write stream (append to if exists, create if not)
const accessLogStream = fs.createWriteStream(path.join(__dirname, 'access.log'), { flags: 'a' });
// Log requests in combined format
app.use(morgan('combined', { stream: accessLogStream }));
// Your API endpoints
app.get('/v1/users', (req, res) => {
res.json([
{ id: 1, name: 'John Doe' },
{ id: 2, name: 'Jane Doe' }
]);
});
为了实现API监控,你可以使用Prometheus和Grafana。首先,安装Prometheus客户端库:
npm install prom-client
然后,在你的应用中集成Prometheus客户端:
const promClient = require('prom-client');
// Create a registry
const register = new promClient.Registry();
// Create a counter for requests
const httpRequestDurationMicroseconds = new promClient.Histogram({
name: 'http_request_duration_ms',
help: 'Duration of HTTP requests in ms',
labelNames: ['method', 'route', 'code'],
buckets: [0.10, 5, 15, 50, 100, 200, 300, 400, 500]
});
// Register the histogram
register.registerMetric(httpRequestDurationMicroseconds);
// Middleware to log request duration
app.use((req, res, next) => {
const start = Date.now();
res.on('finish', () => {
const duration = Date.now() - start;
httpRequestDurationMicroseconds
.labels(req.method, req.route.path, res.statusCode)
.observe(duration);
});
next();
});
// Expose metrics endpoint
app.get('/metrics', async (req, res) => {
res.set('Content-Type', register.contentType);
res.end(await register.metrics());
});
最后,配置Prometheus来抓取你的应用的指标,并在Grafana中创建仪表盘来可视化这些数据。
通过以上步骤,你可以在Linux环境下使用Swagger实现API监控与日志记录。Swagger提供了API文档和UI,方便你查看和测试API。日志记录中间件可以帮助你捕获和分析API请求和响应。Prometheus和Grafana则提供了强大的监控和可视化功能。