82999c037e
This adds 2 docker containers (based on the ones used for PathKit added in https://skia-review.googlesource.com/c/skia/+/147042) which bundle Chrome and puppeteer to allow the lottiecap.js to be run anywhere. This adds a recipe (test_lottie_web.py) to drive the docker container and do a little bit of set-up (and a few docs/bug fixes discovered in the test_pathkit.py that it was based on). Additionally, this modifies lottiecap.js to support POSTing output to a running go server (again, the same as PathKit) which has the image data hashed and the metadata added to a large JSON output. This re-works driver.html to avoid re-loading the JSON object 25 times. The performance boost is important because, right now, the lottie files are processed individually. In a future CL, I want to address the two TODOs in lottie-web-aggregator.go Bug: skia:8108 Change-Id: I100c9ce23dcc5033a27287211cbf0db898960da9 Reviewed-on: https://skia-review.googlesource.com/149282 Commit-Queue: Kevin Lubick <kjlubick@google.com> Reviewed-by: Joe Gregorio <jcgregorio@google.com> Reviewed-by: Stephan Altmueller <stephana@google.com>
219 lines
5.9 KiB
JavaScript
219 lines
5.9 KiB
JavaScript
/**
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* Command line application to build a 5x5 filmstrip from a Lottie file in the
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* browser and then exporting that filmstrip in a 1000x1000 PNG.
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*
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*/
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const puppeteer = require('puppeteer');
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const express = require('express');
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const fs = require('fs');
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const commandLineArgs = require('command-line-args');
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const commandLineUsage= require('command-line-usage');
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const fetch = require('node-fetch');
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// Valid values for the --renderer flag.
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const RENDERERS = ['svg', 'canvas'];
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const opts = [
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{
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name: 'input',
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typeLabel: '{underline file}',
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description: 'The Lottie JSON file to process.'
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},
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{
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name: 'output',
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typeLabel: '{underline file}',
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description: 'The captured filmstrip PNG file to write. Defaults to filmstrip.png',
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},
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{
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name: 'renderer',
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typeLabel: '{underline mode}',
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description: 'Which renderer to use, "svg" or "canvas". Defaults to "svg".',
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},
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{
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name: 'port',
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description: 'The port number to use, defaults to 8081.',
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type: Number,
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},
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{
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name: 'lottie_player',
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description: 'The path to lottie.min.js, defaults to a local npm install location.',
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type: String,
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},
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{
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name: 'post_to',
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description: 'If set, the url to post results to for Gold Ingestion.',
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type: String,
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},
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{
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name: 'in_docker',
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description: 'Is this being run in docker, defaults to false',
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type: Boolean,
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},
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{
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name: 'skip_automation',
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description: 'If the automation of the screenshot taking should be skipped ' +
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'(e.g. debugging). Defaults to false.',
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type: Boolean,
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},
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{
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name: 'help',
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alias: 'h',
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type: Boolean,
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description: 'Print this usage guide.'
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},
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];
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const usage = [
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{
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header: 'Lottie Filmstrip Capture',
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content: `Command line application to build a 5x5 filmstrip
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from a Lottie file in the browser and then export
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that filmstrip in a 1000x1000 PNG.`
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},
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{
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header: 'Options',
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optionList: opts,
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},
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];
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// Parse and validate flags.
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const options = commandLineArgs(opts);
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if (!options.output) {
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options.output = 'filmstrip.png';
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}
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if (!options.port) {
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options.port = 8081;
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}
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if (!options.lottie_player) {
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options.lottie_player = 'node_modules/lottie-web/build/player/lottie.min.js';
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}
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if (options.help) {
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console.log(commandLineUsage(usage));
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process.exit(0);
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}
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if (!options.input) {
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console.error('You must supply a Lottie JSON filename.');
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console.log(commandLineUsage(usage));
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process.exit(1);
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}
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if (!options.renderer) {
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options.renderer = 'svg';
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}
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if (!RENDERERS.includes(options.renderer)) {
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console.error('The --renderer flag must have as a value one of: ', RENDERERS);
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console.log(commandLineUsage(usage));
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process.exit(1);
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}
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// Start up a web server to serve the three files we need.
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let lottieJS = fs.readFileSync(options.lottie_player, 'utf8');
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let driverHTML = fs.readFileSync('driver.html', 'utf8');
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let lottieJSON = fs.readFileSync(options.input, 'utf8');
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const app = express();
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app.get('/', (req, res) => res.send(driverHTML));
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app.get('/lottie.js', (req, res) => res.send(lottieJS));
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app.get('/lottie.json', (req, res) => res.send(lottieJSON));
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app.listen(options.port, () => console.log('- Local web server started.'))
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// Utiltity function.
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async function wait(ms) {
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await new Promise(resolve => setTimeout(() => resolve(), ms));
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return ms;
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}
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const targetURL = `http://localhost:${options.port}/#${options.renderer}`;
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// Drive chrome to load the web page from the server we have running.
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async function driveBrowser() {
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console.log('- Launching chrome in headless mode.');
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let browser = null;
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if (options.in_docker) {
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browser = await puppeteer.launch({
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'executablePath': '/usr/bin/google-chrome-stable',
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'args': ['--no-sandbox'],
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});
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} else {
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browser = await puppeteer.launch();
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}
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const page = await browser.newPage();
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console.log(`- Loading our Lottie exercising page for ${options.input}.`);
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try {
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// 20 seconds is plenty of time to wait for the json to be loaded once
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// This usually times out for super large json.
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await page.goto(targetURL, {
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timeout: 20000,
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waitUntil: 'networkidle0'
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});
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// 20 seconds is plenty of time to wait for the frames to be drawn.
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// This usually times out for json that causes errors in the player.
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console.log('- Waiting 15s for all the tiles to be drawn.');
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await page.waitForFunction('window._tileCount === 25', {
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timeout: 20000,
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});
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} catch(e) {
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console.log('Timed out while loading or drawing. Either the JSON file was ' +
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'too big or hit a bug in the player.', e);
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await browser.close();
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process.exit(0);
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}
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console.log('- Taking screenshot.');
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let encoding = 'binary';
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if (options.post_to) {
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encoding = 'base64';
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// prevent writing the image to disk
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options.output = '';
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}
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// See https://github.com/GoogleChrome/puppeteer/blob/v1.6.0/docs/api.md#pagescreenshotoptions
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let result = await page.screenshot({
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path: options.output,
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type: 'png',
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clip: {
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x: 0,
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y: 0,
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width: 1000,
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height: 1000,
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},
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encoding: encoding,
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});
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if (options.post_to) {
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console.log(`- Reporting ${options.input} to Gold server ${options.post_to}`);
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let shortenedName = options.input;
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let lastSlash = shortenedName.lastIndexOf('/');
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if (lastSlash !== -1) {
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shortenedName = shortenedName.slice(lastSlash+1);
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}
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await fetch(options.post_to, {
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method: 'POST',
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mode: 'no-cors',
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headers: {
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'Content-Type': 'application/json',
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},
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body: JSON.stringify({
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'data': result,
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'test_name': shortenedName,
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})
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});
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}
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await browser.close();
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// Need to call exit() because the web server is still running.
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process.exit(0);
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}
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if (!options.skip_automation) {
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driveBrowser();
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} else {
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console.log(`open ${targetURL} to see the animation.`)
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}
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