Rocky_Mountain_Vending/.pnpm-store/v10/files/3c/61d5cdf062c271be79022235a2260e0011524526c0902efa871627d4ca38e62c737b335bfdcee24f5c9aac08569a7d17922cdce7a4d243d4e83e56c3dbfd2d
DMleadgen 46d973904b
Initial commit: Rocky Mountain Vending website
Next.js website for Rocky Mountain Vending company featuring:
- Product catalog with Stripe integration
- Service areas and parts pages
- Admin dashboard with Clerk authentication
- SEO optimized pages with JSON-LD structured data

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-02-12 16:22:15 -07:00

60 lines
2.3 KiB
Text

# speedline-core
This is the core module for speedline, without any CLI dependencies. See [speedline](https://github.com/paulirish/speedline) for the CLI.
### Install
```bash
$ npm install speedline
```
### Usage
```js
const speedline = require('speedline-core');
speedline('./timeline').then(results => {
console.log('Speed Index value:', results.speedIndex);
});
```
### API
#### `speedline(timeline [, opts])`
* (string | object[]) `timeline`
* (object) `opts`
Returns a (Promise) resolving with an object containing:
* `beginning` (number) - Recording start timestamp
* `end` (number) - Recording end timestamp
* `speedIndex` (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](#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`.
#### `Frame`
Object 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.
## License
MIT © [Pierre-Marie Dartus](https://github.com/pmdartus)