Docketeer

Docketeer allows you to run your Puppeteer scripts on your host machine whilst launching the browser in a docker container. This is particularly useful when you need to have a consistent environment regardless of the host machine running the scripts. For example, if you are running visual snapshot tests on macOS when your build pipeline runs them in Linux.

Usage

docketeer [--exec-path=<browser_bin>] [--bind-port=<port>] <docker_image> <command>

Simply prefix your usual command with docketeer via npx, pnpx or whatever the hell Yarn’s equivalent is:

npx docketeer npm test

You will also need to tweak your server to bind to host.docker.internal. An environment variable, DOCKETEER_ENABLED, is provided for easy transition in your configs. For example, this is how you might change your Storybook Storyshots puppeteer config:

  test: puppeteerTest({
    testTimeout: 600000,
    setupTimeout: 600000,
    storybookUrl: process.env.DOCKETEER_ENABLED ? "http://host.docker.internal:9003" : "http://localhost:9003",
    
    // ...
  })

Options

Option Env Description Default
<docker_image> DOCKETEER_IMAGE The docker image for the browser you want to launch
--exec-path=<path> DOCKETEER_EXEC_PATH Path to the browser binary inside the docker image google-chrome
--bind-port=<port> DOCKETEER_BIND_PORT The port that puppeteer will connect to 9222

Why

A lot of guides recommend two approaches when it comes to running Puppeteer via docker:

  • Use docker run to run your scripts with the local files mounted inside the docker container. For certain test runners (e.g. Karma), this may mean compilation happens inside the container and this can be slow. It also means that native modules may not work correctly, and the image has to be rebuilt every time you upgrade Node locally for new features.
  • Run something like Browserless and change your scripts to use puppeteer.attach() instead of puppeteer.launch(). This usually means changing your workflow entirely, or maintaining two separate approaches, one for local and one for your build pipeline.

With the mounting approach, here’s how long it takes to run our Storybook Storyshots visual snapshot tests with a mounted volume on macOS:

$ time docker run \
	-it \
	--rm \
	--name ads \
	--workdir=/repo \
	--mount type=bind,source="$(currentDir)",target=/repo node-with-chrome-and-node-gyp:0.0.1 \
	pnpm visual-snapshot

...
________________________________________________________
Executed in   21.44 mins      fish           external
   usr time  437.04 millis    0.16 millis  436.89 millis
   sys time  483.23 millis    1.56 millis  481.67 millis

And here’s how long it takes using Docketeer:

$ time npx docketeer --exec-path=chromium-browser node-with-chrome-and-node-gyp:0.0.1 pnpm visual-snapshot

...
________________________________________________________
Executed in  387.92 secs      fish           external
   usr time  556.42 millis  114.00 micros  556.31 millis
   sys time  405.67 millis  629.00 micros  405.04 millis

That’s a saving of over 15 minutes!

Known Issues

  • When Puppeteer is launched without supplying the userDataDir option, it generates a temp dir and changes how the browser is closed: it sends a SIGKILL instead of allowing the browser to close gracefully. With Docketeer, this kills the entire spawned process tree, including the docker run command, so the browser does not actually exit and the container is kept alive.

    To work around this, make sure you supply the userDataDir option to puppeteer.launch() when running via Docketeer:

    puppeteer.launch({
      userDataDir: process.env.DOCKETEER_ENABLED ? './' : null,
      // ...
    });

    Don’t worry about the directory specified, Docketeer will remove the --user-data-dir flag supplied to Chrome.

GitHub

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