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nodejs requests fake data

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Release: 2023-04-17 15:03:13
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Node.js implementation method of requesting fake data

As a popular back-end JavaScript running environment, Node.js is widely used in the development of web applications. During the development process, in order to test or simulate some business scenarios, we often need to use some dummy data, but we do not want to rely on the real back-end interface return. At this time, we can use Node.js to request fake data to meet development needs. This article will introduce how to request fake data based on Node.js.

  1. Install mockjs

Mockjs is a front-end js library that generates random data. It supports randomly generating text, numbers, dates and other types of data. Using mockjs, we can generate test data quickly and easily without spending too much time and energy. Before using mockjs, you need to install it first, just install it through npm:

<code>npm install mockjs --save-dev</code>
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  1. Create mock data

Mock data refers to the replacement during the development process Virtual data returned by the backend real interface. Normally, we maintain mock data in a separate mock folder. Here, we use the /login interface as an example:

<code>// mock/login.js

const Mock = require('mockjs')

// 登录接口
Mock.mock('/login', 'post', {
  code: 200,
  message: '登录成功!',
  data: {
    userId: '123456',
    username: 'mock-user'
  }
})</code>
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In the above code, we use the Mock.mock method of mockjs to simulate a virtual data that returns json format. When requesting the /login interface, the json format data will be returned. It should be noted that here we use the post request method, and other request methods can also be adjusted as needed.

  1. Writing request code

Before writing request code, you need to install and introduce the axios library or other http request library. Here we take axios as an example:

<code>npm install axios --save</code>
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In the request code, you need to set the request url, request method, request parameters, etc. You also need to pay attention to the difference between the address of the mock data and the actual interface address. Let's take the /login interface as an example:

<code>// login.js

const axios = require('axios')

// mock数据地址
const mockUrl = '/login'

// 实际数据地址
const apiUrl = '/api/login'

axios.post(mockUrl, { username: 'mock-user', password: '123456' })
  .then(res => {
    console.log(res.data)
  })
  .catch(err => {
    console.error(err)
  })

axios.post(apiUrl, { username: 'real-user', password: '123456' })
  .then(res => {
    console.log(res.data)
  })
  .catch(err => {
    console.error(err)
  })</code>
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In the above code, we first define two variables, mockUrl and apiUrl, which represent the address of the mock data and the actual interface address respectively. When requesting, we use the axios.post method to request the mockUrl address, and we can get the json format data we preset in the mock data. When requesting the apiUrl, the real back-end interface address will be requested, realizing imperceptible replacement of mock data.

  1. Configuring mock routing

In common web frameworks such as Express and Koa, routing is often used to map different request URL addresses. When using mock data, we also need to use routing to complete file mapping. Here we take Express as an example and use express-mockjs middleware to map the routing address to the mock file:

<code>// server.js

const express = require('express')
const mockjs = require('express-mockjs')

const app = express()

// 配置mock路由
app.all('/mock/*', mockjs('./mock'))

// 配置其他路由及中间件
app.get('/', (req, res) => {
  res.send('Hello, World!')
})

// 启动服务器
app.listen(3000, () => {
  console.log('Server is running at http://localhost:3000')
})</code>
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In the above code, we use express-mockjs middleware to map the /mock/ routing address to the mock folder. In this way, when we access /mock/login, the virtual data we preset in mock/login.js will be returned.

Summary

Through the above steps, we can quickly and easily request fake data in Node.js to meet the needs of development and testing. Of course, in actual development, we also need to impose additional constraints and specifications on the use of mock data to prevent mock data from causing unnecessary trouble and risks.

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