skia2/tools/lottiecap/lottiecap.js
Kevin Lubick 82999c037e Add docker-based infrastructure for Gold/lottie-web integration
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>
2018-08-28 15:16:22 +00:00

219 lines
5.9 KiB
JavaScript

/**
* Command line application to build a 5x5 filmstrip from a Lottie file in the
* browser and then exporting that filmstrip in a 1000x1000 PNG.
*
*/
const puppeteer = require('puppeteer');
const express = require('express');
const fs = require('fs');
const commandLineArgs = require('command-line-args');
const commandLineUsage= require('command-line-usage');
const fetch = require('node-fetch');
// Valid values for the --renderer flag.
const RENDERERS = ['svg', 'canvas'];
const opts = [
{
name: 'input',
typeLabel: '{underline file}',
description: 'The Lottie JSON file to process.'
},
{
name: 'output',
typeLabel: '{underline file}',
description: 'The captured filmstrip PNG file to write. Defaults to filmstrip.png',
},
{
name: 'renderer',
typeLabel: '{underline mode}',
description: 'Which renderer to use, "svg" or "canvas". Defaults to "svg".',
},
{
name: 'port',
description: 'The port number to use, defaults to 8081.',
type: Number,
},
{
name: 'lottie_player',
description: 'The path to lottie.min.js, defaults to a local npm install location.',
type: String,
},
{
name: 'post_to',
description: 'If set, the url to post results to for Gold Ingestion.',
type: String,
},
{
name: 'in_docker',
description: 'Is this being run in docker, defaults to false',
type: Boolean,
},
{
name: 'skip_automation',
description: 'If the automation of the screenshot taking should be skipped ' +
'(e.g. debugging). Defaults to false.',
type: Boolean,
},
{
name: 'help',
alias: 'h',
type: Boolean,
description: 'Print this usage guide.'
},
];
const usage = [
{
header: 'Lottie Filmstrip Capture',
content: `Command line application to build a 5x5 filmstrip
from a Lottie file in the browser and then export
that filmstrip in a 1000x1000 PNG.`
},
{
header: 'Options',
optionList: opts,
},
];
// Parse and validate flags.
const options = commandLineArgs(opts);
if (!options.output) {
options.output = 'filmstrip.png';
}
if (!options.port) {
options.port = 8081;
}
if (!options.lottie_player) {
options.lottie_player = 'node_modules/lottie-web/build/player/lottie.min.js';
}
if (options.help) {
console.log(commandLineUsage(usage));
process.exit(0);
}
if (!options.input) {
console.error('You must supply a Lottie JSON filename.');
console.log(commandLineUsage(usage));
process.exit(1);
}
if (!options.renderer) {
options.renderer = 'svg';
}
if (!RENDERERS.includes(options.renderer)) {
console.error('The --renderer flag must have as a value one of: ', RENDERERS);
console.log(commandLineUsage(usage));
process.exit(1);
}
// Start up a web server to serve the three files we need.
let lottieJS = fs.readFileSync(options.lottie_player, 'utf8');
let driverHTML = fs.readFileSync('driver.html', 'utf8');
let lottieJSON = fs.readFileSync(options.input, 'utf8');
const app = express();
app.get('/', (req, res) => res.send(driverHTML));
app.get('/lottie.js', (req, res) => res.send(lottieJS));
app.get('/lottie.json', (req, res) => res.send(lottieJSON));
app.listen(options.port, () => console.log('- Local web server started.'))
// Utiltity function.
async function wait(ms) {
await new Promise(resolve => setTimeout(() => resolve(), ms));
return ms;
}
const targetURL = `http://localhost:${options.port}/#${options.renderer}`;
// Drive chrome to load the web page from the server we have running.
async function driveBrowser() {
console.log('- Launching chrome in headless mode.');
let browser = null;
if (options.in_docker) {
browser = await puppeteer.launch({
'executablePath': '/usr/bin/google-chrome-stable',
'args': ['--no-sandbox'],
});
} else {
browser = await puppeteer.launch();
}
const page = await browser.newPage();
console.log(`- Loading our Lottie exercising page for ${options.input}.`);
try {
// 20 seconds is plenty of time to wait for the json to be loaded once
// This usually times out for super large json.
await page.goto(targetURL, {
timeout: 20000,
waitUntil: 'networkidle0'
});
// 20 seconds is plenty of time to wait for the frames to be drawn.
// This usually times out for json that causes errors in the player.
console.log('- Waiting 15s for all the tiles to be drawn.');
await page.waitForFunction('window._tileCount === 25', {
timeout: 20000,
});
} catch(e) {
console.log('Timed out while loading or drawing. Either the JSON file was ' +
'too big or hit a bug in the player.', e);
await browser.close();
process.exit(0);
}
console.log('- Taking screenshot.');
let encoding = 'binary';
if (options.post_to) {
encoding = 'base64';
// prevent writing the image to disk
options.output = '';
}
// See https://github.com/GoogleChrome/puppeteer/blob/v1.6.0/docs/api.md#pagescreenshotoptions
let result = await page.screenshot({
path: options.output,
type: 'png',
clip: {
x: 0,
y: 0,
width: 1000,
height: 1000,
},
encoding: encoding,
});
if (options.post_to) {
console.log(`- Reporting ${options.input} to Gold server ${options.post_to}`);
let shortenedName = options.input;
let lastSlash = shortenedName.lastIndexOf('/');
if (lastSlash !== -1) {
shortenedName = shortenedName.slice(lastSlash+1);
}
await fetch(options.post_to, {
method: 'POST',
mode: 'no-cors',
headers: {
'Content-Type': 'application/json',
},
body: JSON.stringify({
'data': result,
'test_name': shortenedName,
})
});
}
await browser.close();
// Need to call exit() because the web server is still running.
process.exit(0);
}
if (!options.skip_automation) {
driveBrowser();
} else {
console.log(`open ${targetURL} to see the animation.`)
}