Collect performance metrics from the browser dev tools during playwright test execution
Caution
This library is work in progress. The measurement is limited to Chromium. On the long run the goal is to
- Support Firefox and Webkit
- Useful amount of metrics to choose from
- Insightful visualization of the results
npm install playwright-performance-reporter --save-dev
or
yarn add playwright-performance-reporter --dev
Disable parallelism:
export default defineConfig({
...
fullyParallel: false,
workers: 1,
...
})
To register the reporter, include the code blow in your playwright config. Please see the subsections for more details about browser specific cases and advanced configurations.
import type { CDP, Options, Metric } from 'playwright-performance-reporter';
const PlaywrightPerformanceReporterOptions: Options = {
outputDir: '/your/path/to/dir',
outputFile: `${Date.now()}.json`,
deleteOnFailure: false,
browsers: {
chromium: {
onTestStep: {
metrics: ['allPerformanceMetrics'],
}
}
}
}
export default defineConfig({
...
reporter: [
['playwright-performance-reporter', PlaywrightPerformanceReporterOptions]
],
...
});
Following metrics are supported out of the box:
- usedJsHeapSize
- totalJsHeapSize
- allPerformanceMetrics
- heapDump
The MetricsEngine
relies on the Chrome DevTool Protocol (CDP),
which can be accessed through HTTP and WebSocket. To allow for a connection, make sure to expose a port for the remote debugging.
The reporter will try to extract that port during start-up.
{
name: 'chromium',
use: {
...devices['Desktop Chrome'],
launchOptions: {
args: [
'--remote-debugging-port=9222'
]
}
}
},
Relying solely on the start and stop metric in a long running step leads to inaccuracies and
requires a large set of runs to have a meaningful amount of metrics.
By registering a metric to be collected every samplingTimeoutInMilliseconds
the sampling output will
be written to samplingMetrics
, similar to startMetrics
or startMetrics
.
Make sure to use the unique name of the metric to register the sampling.
const PlaywrightPerformanceReporterOptions: Options = {
...
browsers: {
chromium: {
onTestStep: {
metrics: ['usedJsHeapSize', 'totalJsHeapSize'],
customMetrics: {
someMetric: {
...
}
},
sampleMetrics: {
totalJsHeapSize: {
samplingTimeoutInMilliseconds: 1000
},
someMetric: {
samplingTimeoutInMilliseconds: 5000
}
}
}
}
}
}
If you want to extend it with custom metrics, an entry exists for customMetrics
, where the callback will get
the accumulator and CDP client. Please see the example below how to use it, or checkout the allPerformanceMetrics implementation.
For ease of implementation, the passed object can implement the interface MetricObserver
.
By using custom metrics it's possible to make observers stateful and e.g. make the next output dependent on the previous one.
import type { MetricObserver, Options } from 'playwright-performance-reporter';
class NewMetric implements MetricObserver {
...
}
const PlaywrightPerformanceReporterOptions: Options = {
outputDir: '/your/path/to/dir',
outputFile: 'output.json',
deleteOnFailure: false,
browsers: {
chromium: {
onTestStep: {
customMetrics: {
newMetric: new NewMetric()
}
}
}
}
}
The output is sent in chunks to the output file one defined in the options.
If there is a need to provide a custom writer, then the customJsonWriter
is of help to customize how the chunks are handled.
In the beginning the initialize
function is called with the options dedicated for the writer.
Every new entry is sent to the write
function. Once the test is complete close
is called.
In case the test failed and deleteOnFailure === true
, then the delete
function is called.
import type { JsonWriter } from 'playwright-performance-reporter';
class CustomJsonWriter implements JsonWriter {
...
}
const PlaywrightPerformanceReporterOptions: Options = {
outputDir: '/your/path/to/dir',
outputFile: 'output.json',
deleteOnFailure: true,
customJsonWriter: new CustomJsonWriter(),
...
}
The top level is hooked into test()
.
{
...
"4dde6239d9ac8c9468f3-82e3094b06379c51b729": {
"TEST_CASE_PARENT": {
"name": " > chromium > scenarios/profile.spec.ts > Profile",
...
}
...
}
...
}
The content consists of steps of the test suite.
Please keep in mind that the metric request is async and is not awaited by
Playwright. This means that the browser API might still in the process of collecting the metrics,
even though Playwright instructed the browser to continue to the next step. This could lead to wrong output.
To check if the output is invalid, the values startMeasurementOffset
and endMeasurementOffset
are provided, which measure
the time delta in milliseconds between the request until the browser provides all metrics.
See example/output.json for detailed reporter output.