UniApp Configuration and Usage Guide for Automated Testing and Performance Monitoring

UniApp is a cross-platform application development framework that can quickly develop applications that adapt to multiple platforms at the same time. During the development process, we often need to conduct automated testing and performance monitoring to ensure the quality and performance of the application. This article will introduce how to configure and use automated testing and performance monitoring tools in UniApp.

1. Automated test configuration and usage guide

1. Download and install the necessary tools

UniApp’s automated testing relies on Node.js and WebdriverIO. First, we need to download and install Node.js (https://nodejs.org). After the installation is complete, enter the commands node -v and npm -v in the terminal to confirm whether the installation is successful.

Next, we need to install WebdriverIO. Enter the following command in the terminal to install WebdriverIO:

npm install @wdio/cli

After the installation is complete, we can enter wdio --version to confirm whether the installation is successful.

2. Configuration test script

In the root directory of the UniApp project, you can see a package.json file. We need to add some configuration information to facilitate the execution of automated tests.

First, we need to add some dependency modules required for testing. Add the following information under dependencies:

"dependencies": {
  "@wdio/cli": "^7.7.5",
  "webdriverio": "^7.7.5"
}

Then, add the following information under scripts:

"scripts": {
  "test": "wdio wdio.conf.js"
}

Finally, create in the project root directory A wdio.conf.js file used to configure WebdriverIO related parameters. Here is a basic configuration example:

exports.config = {
  runner: 'local',
  specs: [
    './test/specs/**/*.js'
  ],
  capabilities: [{
    maxInstances: 1,
    browserName: 'chrome'
  }],
  logLevel: 'info',
  coloredLogs: true,
  framework: 'mocha',
  mochaOpts: {
    ui: 'bdd',
    timeout: 60000
  },
  reporters: ['spec'],
  services: ['chromedriver']
}

3. Writing a test script

Now, we can write a test script to perform automated testing. Create a test folder in the project root directory, and create a specs folder in it to store the test script. Here is a simple example:

describe('UniApp自动化测试示例', () => {
  it('打开应用', () => {
    browser.url('http://localhost:8080/index.html')
    expect(browser.getTitle()).toEqual('UniApp')
  })

  it('点击按钮', () => {
    const button = $('button')
    button.click()
    expect(button.getText()).toEqual('已点击')
  })
})

4. Run the test script

Now, we can run the test script with the following command:

npm test

WebdriverIO will Automatically launch the browser and execute the test script. The test results will be displayed in the terminal. If everything is normal, you will see results similar to the following:

  UniApp自动化测试示例
    ✓ 打开应用
    ✓ 点击按钮

  2 passing (4s)

2. Performance Monitoring Configuration and Usage Guide

1. Download and install the necessary tools

UniApp’s performance monitoring relies on the performance analysis function of the Chrome browser. First, we need to download and install the latest version of Chrome browser.

2. Configure performance monitoring script

In the main.js file of the UniApp project, we can add the following script to enable the performance monitoring function:

Vue.config.performance = true

This script will enable performance analysis options in the browser's developer tools.

3. Using Performance Monitoring Tools

Now, we can open the Chrome browser and enter UniApp’s debug mode. In the browser, click View -> Developer -> Performance in the menu bar to open the performance analysis panel.

In the toolbar above the performance analysis panel, click the Record button to start recording performance data. Then, use the UniApp application to perform some operations, such as clicking buttons, switching pages, etc.

After completing the operation, click the Stop button in the toolbar to stop recording performance data. In the panel, you can view various performance-related indicators, such as loading time, response time, etc. Based on these indicators, we can perform performance optimization and bottleneck analysis.

Summary:

This article introduces the configuration and use of automated testing and performance monitoring in UniApp. By configuring WebdriverIO and writing test scripts, we can conduct automated testing to ensure the quality of the application. By enabling the performance analysis feature of Chrome browser, we can monitor the performance of the application and optimize it. I hope to be helpful!

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