$ gnpm install speedline-core
This is the core module for speedline, without any CLI dependencies. See speedline for the CLI.
$ npm install speedline
const speedline = require('speedline-core');
speedline('./timeline').then(results => {
console.log('Speed Index value:', results.speedIndex);
});
speedline(timeline [, opts])timelineoptsReturns a (Promise) resolving with an object containing:
beginning (number) - Recording start timestampend (number) - Recording end timestampspeedIndex (number) - speed index value.perceptualSpeedIndex (number) - perceptual speed index value.first (number) - duration before the first visual change in ms.complete (number) - duration before the last visual change in ms.duration (number) - timeline recording duration in ms.frames (Frame[]) - array of all the frames extracted from the timeline.timeline parameter:
string - the parameter represents the location of the of file containing the timeline.array - the parameter represents the traceEvents content of the timeline file.opts parameter:
timeOrigin: Provides the baseline timeStamp, typically navigationStart. Must be a monotonic clock timestamp that matches the trace. E.g. speedline('trace.json', {timeOrigin: 103205446186})fastMode: If the elapsed time and difference in similarity between two screenshots are small, fastMode will skip decoding and evaluating the frames between them.include: Specifies which speed indexes to compute, can be one of all|speedIndex|perceptualSpeedIndex, defaults to all.FrameObject representing a single screenshot.
frame.getHistogram(): (number[][]) - returns the frame histogram. Note that light pixels informations are removed from the histogram, for better speed index calculation accuracy.frame.getTimeStamp(): (number) - return the frame timestamp.frame.getImage(): (Buffer) - return the frame content.frame.getProgress(): (number) - return the frame visual progress.frame.getPerceptualProgress(): (number) - return the frame perceptual visual progress.MIT © Pierre-Marie Dartus
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