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lighthouse-cli | ||
lighthouse-core | ||
lighthouse-extension | ||
typings | ||
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.eslintrc | ||
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.travis.yml | ||
API-and-internals.md | ||
AUTHORS | ||
CONTRIBUTING.md | ||
LICENSE | ||
jsconfig.json | ||
package.json | ||
readme.md |
readme.md
lighthouse
Stops you crashing into the rocks; lights the way
status: ready for use! please report any issues or questions you have
Lighthouse requires Chrome 52 or later
Install Chrome extension
chrome.google.com/webstore/detail/lighthouse/blipmdconlkpinefehnmjammfjpmpbjk
Quick-start guide on using the Lighthouse extension: http://bit.ly/lighthouse-quickstart
Install CLI
Requires Node v5+ or Node v4 w/ --harmony
npm install -g GoogleChrome/lighthouse
Run
# Launch Chrome by reaching into the Lighthouse module
# and using one of its scripts.
npm explore -g lighthouse -- npm run chrome
# Kick off a lighthouse run
lighthouse https://airhorner.com/
# see flags and options
lighthouse --help
Develop
Setup
git clone https://github.com/GoogleChrome/lighthouse
cd lighthouse
npm install
Run
node lighthouse-cli http://example.com
Custom run configuration
You can supply your own run configuration to customize what audits you want details on. Copy the default.json and start customizing. Then provide to the CLI with lighthouse --config-path=myconfig.json <url>
Trace processing
Lighthouse can be used to analyze trace and performance data collected from other tools (like WebPageTest and ChromeDriver). The traces
and performanceLog
artifact items can be provided using a string for the absolute path on disk. The perf log is captured from the Network domain (a la ChromeDriver's enableNetwork
option and reformatted slightly. As an example, here's a trace-only run that's reporting on user timings and critical request chains:
config.json
{
"audits": [
"user-timings",
"critical-request-chains"
],
"artifacts": {
"traces": {
"defaultPass": "/User/me/lighthouse/lighthouse-core/test/fixtures/traces/trace-user-timings.json"
},
"performanceLog": "/User/me/lighthouse/lighthouse-core/test/fixtures/traces/perflog.json"
},
"aggregations": [{
"name": "Performance Metrics",
"description": "These encapsulate your app's performance.",
"scored": false,
"categorizable": false,
"items": [{
"criteria": {
"user-timings": { "rawValue": 0, "weight": 1 },
"critical-request-chains": { "rawValue": 0, "weight": 1}
}
}]
}]
}
Then, run with: lighthouse --config-path=config.json http://www.random.url
Lighthouse CLI options
$ lighthouse --help
lighthouse <url>
Logging:
--verbose Displays verbose logging [boolean]
--quiet Displays no progress or debug logs [boolean]
Configuration:
--mobile Emulates a Nexus 5X [default: true]
--save-assets Save the trace contents & screenshots to disk [boolean]
--save-artifacts Save all gathered artifacts to disk [boolean]
--list-all-audits Prints a list of all available audits and exits [boolean]
--list-trace-categories Prints a list of all required trace categories and exits [boolean]
--config-path The path to the config JSON.
Output:
--output Reporter for the results
[choices: "pretty", "json", "html"] [default: "pretty"]
--output-path The file path to output the results
Example: --output-path=./lighthouse-results.html [default: "stdout"]
Options:
--help Show help [boolean]
--version Show version number [boolean]
Lighthouse w/ mobile devices
Lighthouse can run against a real mobile device. You can follow the Remote Debugging on Android (Legacy Workflow) up through step 3.3, but the TL;DR is install & run adb, enable USB debugging, then port forward 9222 from the device to the machine with Lighthouse.
$ adb kill-server
$ adb devices -l
* daemon not running. starting it now on port 5037 *
* daemon started successfully *
00a2fd8b1e631fcb device usb:335682009X product:bullhead model:Nexus_5X device:bullhead
$ adb forward tcp:9222 localabstract:chrome_devtools_remote
$ lighthouse --mobile false https://mysite.com
Tests
Some basic unit tests forked are in /test
and run via mocha. eslint is also checked for style violations.
# lint and test all files
npm test
# watch for file changes and run tests
# Requires http://entrproject.org : brew install entr
npm run watch
## run linting and unit tests seprately
npm run lint
npm run unit
Chrome Extension
The same audits are run against from a Chrome extension. See ./extension.
Architecture
Some incomplete notes
Components
- Driver - Interfaces with Chrome Debugging Protocol (API viewer)
- Gathers - Requesting data from the browser (and maybe post-processing)
- Artifacts - The output of gatherers
- Audits - Non-performance evaluations of capabilities and issues. Includes a raw value and score of that value.
- Metrics - Performance metrics summarizing the UX
- Diagnoses - The perf problems that affect those metrics
- Aggregators - Pulling audit results, grouping into user-facing components (eg.
install_to_homescreen
) and applying weighting and overall scoring.
Internal module graph
npm install -g js-vd; vd --exclude "node_modules|third_party" lighthouse-core/ > graph.html
Protocol
- Interacting with Chrome: The Chrome protocol connection maintained via chrome-remote-interface for the CLI and
chrome.debuggger
API when in the Chrome extension. - Event binding & domains: Some domains must be
enable()
d so they issue events. Once enabled, they flush any events that represent state. As such, network events will only issue after the domain is enabled. All the protocol agents resolve theirDomain.enable()
callback after they have flushed any pending events. See example:
// will NOT work
driver.sendCommand('Security.enable').then(_ => {
driver.on('Security.securityStateChanged', state => { /* ... */ });
})
// WILL work! happy happy. :)
driver.on('Security.securityStateChanged', state => { /* ... */ }); // event binding is synchronous
driver.sendCommand('Security.enable');
- Debugging the protocol: Read Better debugging of the Protocol.
Gatherers
- Reading the DOM: We prefer reading the DOM right from the browser (See #77). The driver exposes a
querySelector
method that can be used along with agetAttribute
method to read values.
Audits
The return value of each audit takes this shape:
Promise.resolve({
name: 'audit-name',
tags: ['what have you'],
description: 'whatnot',
// value: The score. Typically a boolean, but can be number 0-100
value: 0,
// rawValue: Could be anything, as long as it can easily be stringified and displayed,
// e.g. 'your score is bad because you wrote ${rawValue}'
rawValue: {},
// debugString: Some *specific* error string for helping the user figure out why they failed here.
// The reporter can handle *general* feedback on how to fix, e.g. links to the docs
debugString: 'Your manifest 404ed'
// fault: Optional argument when the audit doesn't cover whatever it is you're doing,
// e.g. we can't parse your particular corner case out of a trace yet.
// Whatever is in `rawValue` and `score` would be N/A in these cases
fault: 'some reason the audit has failed you, Anakin'
});
Code Style
The .eslintrc
defines all.
We're using JSDoc along with closure annotations. Annotations encouraged for all contributions.
const
> let
> var
. Use const
wherever possible. Save var
for emergencies only.
Trace processing
The traceviewer-based trace processor from node-big-rig was forked into Lighthouse. Additionally, the DevTools' Timeline Model is available as well. There may be advantages for using one model over another.
To update traceviewer source:
cd lighthouse-core
# if not already there, clone catapult and copy license over
git clone --depth=1 https://github.com/catapult-project/catapult.git third_party/src/catapult
cp third_party/src/catapult/LICENSE third_party/traceviewer-js/
# pull for latest
git -C "./third_party/src/catapult/" pull
# run our conversion script
node scripts/build-traceviewer-module.js