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Measure web page performance metrics with ease.

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metrx

This tool measures any web application performances. This project uses Puppeteer to make painless automation.

You can read this great article written by Michał Janaszek for further information.


metrx example

Installation

To install metrx :

npm install -g metrx

Usage

To run the application, just use :

metrx <url>

Several options are available to enhance metrics easily. Use -h (--help) to display them.

metrx -h

  Usage: metrx [options] <url ...>

  Measures web application loading metrics

  Options:

    -r, --repeat [n]                     The number of times the page metrics are measured (default: 5)
    -w, --width [width]                  The viewport's width to set (default: 1920)
    -H, --height [height]                The viewport's height to set (default: 1080)
    -c, --custom-path [custom-path]      Path to custom path configuration file
    -o, --output-format [output-format]  The desired output format (default: table)
    --output-file [output-file]          Whether we want to export data in a file, and the desired path to the file
    --wait-until [wait-until]            The waitUntil value of the Page.reload options accepted by puppeteer
    --no-headless                        Defines if we dont want to use puppeteer headless mode
    --no-sandbox                         Disable chrome sandbox mode, mandatory in some systems
    -h, --help                           Output usage information

Custom user path

A custom file path can be set in the cli options. That way, you can tell puppeteer what it should do before measuring any kind of metric.

This option can be useful if you need to be logged in before being able to access your application.

To include your file into the process, just use -c <relative path to your file> option.

metrx localhost:8000 -c '../../custom-path.js'

The custom-path.js file shoud contain an exported ES module.

// index.js: The custom path function is called like so :
if (customPath) {
    const customPathFunction = require(customPath);
    await customPathFunction(page, logInfo);
}

// custom-path.js: example of login process
const LOGIN_INPUT = 'input[type="login"]';
const PASSWORD_INPUT = 'input[type="password"]';

module.exports = async (page, logInfo) => {
    const login = 'my-secret-login';
    const password = 'my-really-secret-password';
    const loginUrl = 'http://localhost:8080/login';

    logInfo(`Loading ${loginUrl}`);

    // Go to the login page url, and wait for the selector to be ready.
    await page.goto(loginUrl);
    await page.waitForSelector(LOGIN_INPUT);

    logInfo('Logging in...');

    // Type creditentials.
    await page.type(LOGIN_INPUT, login);
    await page.type(PASSWORD_INPUT, password);

    logInfo('Redirecting');

    // The process will continue once the redirect is resolved.
    return page.waitForNavigation();
};

Those functions have access to two arguments :

Export data to a file

You can choose to export to multiple formats and export formated data to a file. For now, only table, raw, json and csv are available. table and raw data will be exported to a txt file. To use it, just type :

metrx localhost:8000 --output-format json --output-file ~/results.json

If you don't provide any filename, a file will automatically be created in your current directory.

"Wait until" option

To make a page reload, metrx does a Page.reload() from puppeteer's Page object. This object accepts a waitUntil parameter, which defines when the page navigation has succeeded, and when the application should collect the metrics and reload the page. You can find more information about Page.reload() right here.

To use, just add the --wait-until flag and the desired options. Since Page.reload accepts either a String or an Array of Strings, if you want to add multiple values, just split them with a ,

For example:

metrx localhost:8000 --wait-until networkidle0,load

Development

To contribute, just run the following commands :

git clone https://github.com/lumapps/metrx.git

cd metrx

npm install

Then, to use metrx just run it via cli.js, for example :

./cli.js http://localhost:8000

Useful Resources