Rocky_Mountain_Vending/.pnpm-store/v10/files/f2/cabfa284d06d4ad23f395e003ee6f042d32e2d2bf2bab68d96830ea86fb4bd9c461473782c79b79edd9adfc29d9690fa1e3dd6f8cdcdb03501dac876846371

'use strict';

const fs = require('fs');
const jpeg = require('jpeg-js');

/**
 * @typedef {import('../speedline').IncludeType} IncludeType
 * @typedef {import('../speedline').Options<IncludeType>} Options
 * @typedef {import('../speedline').TraceEvent} TraceEvent
 * @typedef {import('../speedline').Output['frames'][number]} Frame
 * @typedef {import('jpeg-js').RawImageData<Buffer>} ImageData
 */

/**
 * @param {number} x
 * @param {number} y
 * @param {number} channel
 * @param {number} width
 * @param {Buffer} buff
 */
function getPixel(x, y, channel, width, buff) {
	return buff[(x + y * width) * 4 + channel];
}

/**
 * @param {number} i
 * @param {number} j
 * @param {ImageData} img
 */
function isWhitePixel(i, j, img) {
	return getPixel(i, j, 0, img.width, img.data) >= 249 &&
			getPixel(i, j, 1, img.width, img.data) >= 249 &&
			getPixel(i, j, 2, img.width, img.data) >= 249;
}

/** @param {ImageData} img */
function convertPixelsToHistogram(img) {
	const createHistogramArray = function () {
		const ret = [];
		for (let i = 0; i < 256; i++) {
			ret[i] = 0;
		}
		return ret;
	};

	const width = img.width;
	const height = img.height;

	const histograms = [
		createHistogramArray(),
		createHistogramArray(),
		createHistogramArray()
	];

	for (let j = 0; j < height; j++) {
		for (let i = 0; i < width; i++) {
			// Erase pixels considered as white
			if (isWhitePixel(i, j, img)) {
				continue;
			}

			for (let channel = 0; channel < histograms.length; channel++) {
				const pixelValue = getPixel(i, j, channel, width, img.data);
				histograms[channel][pixelValue]++;
			}
		}
	}

	return histograms;
}

/** @param {Array<Frame>} frames */
function synthesizeWhiteFrame(frames) {
	const firstImageData = jpeg.decode(frames[0].getImage());
	const width = firstImageData.width;
	const height = firstImageData.height;

	const frameData = Buffer.alloc(width * height * 4);
	let i = 0;
	while (i < frameData.length) {
		frameData[i++] = 0xFF; // red
		frameData[i++] = 0xFF; // green
		frameData[i++] = 0xFF; // blue
		frameData[i++] = 0xFF; // alpha - ignored in JPEGs
	}

	var jpegImageData = jpeg.encode({
		data: frameData,
		width: width,
		height: height
	});
	return jpegImageData.data;
}

const screenshotTraceCategory = 'disabled-by-default-devtools.screenshot';

/**
 * @param {string|Array<TraceEvent>|{traceEvents: Array<TraceEvent>}} timeline
 * @param {Options} opts
 */
function extractFramesFromTimeline(timeline, opts) {
	opts = opts || {};
	/** @type {Array<TraceEvent>|{traceEvents: Array<TraceEvent>}} */
	let trace;
	timeline = typeof timeline === 'string' ? fs.readFileSync(timeline, 'utf-8') : timeline;
	try {
		trace = typeof timeline === 'string' ? JSON.parse(timeline) : timeline;
	} catch (e) {
		throw new Error('Speedline: Invalid JSON' + e.message);
	}
	/** @type {Array<TraceEvent>} */
	let events = trace.traceEvents || trace;

	let startTs = Number.MAX_VALUE;
	let endTs = -Number.MAX_VALUE;
	events.forEach(e => {
		if (e.ts === 0) {
			return;
		}

		startTs = Math.min(startTs, e.ts);
		endTs = Math.max(endTs, e.ts);
	});

	startTs = (opts.timeOrigin || startTs) / 1000;
	endTs /= 1000;

	/** @type {?string} */
	let lastFrame = null;
	const rawScreenshots = events.filter(e => e.cat.includes(screenshotTraceCategory) && e.ts >= startTs * 1000);
	rawScreenshots.sort((a, b) => a.ts - b.ts);

	/** @type {Array<Frame>} */
	const uniqueFrames = rawScreenshots.map(function (evt) {
		const base64img = evt.args && evt.args.snapshot;
		const timestamp = evt.ts / 1000;

		if (base64img === lastFrame) {
			return null;
		}

		lastFrame = base64img;
		const imgBuff = Buffer.from(base64img, 'base64');
		return frame(imgBuff, timestamp);
	}).filter(Boolean);

	if (uniqueFrames.length === 0) {
		return Promise.reject(new Error('No screenshots found in trace'));
	}
	// add white frame to beginning of trace
	const fakeWhiteFrame = frame(synthesizeWhiteFrame(uniqueFrames), startTs);
	uniqueFrames.unshift(fakeWhiteFrame);

	const data = {
		startTs,
		endTs,
		frames: uniqueFrames
	};
	return Promise.resolve(data);
}

/**
 * @param {Buffer} imgBuff
 * @param {number} ts
 * @return {Frame}
 */
function frame(imgBuff, ts) {
	/** @type {?Array<Array<number>>} */
	let _histogram = null;
	/** @type {?number} */
	let _progress = null;
	/** @type {?boolean} */
	let _isProgressInterpolated = null;
	/** @type {?number} */
	let _perceptualProgress = null;
	/** @type {?boolean} */
	let _isPerceptualProgressInterpolated = null;
	/** @type {?ImageData} */
	let _parsedImage = null;

	return {
		getHistogram: function () {
			if (_histogram) {
				return _histogram;
			}

			const pixels = this.getParsedImage();
			_histogram = convertPixelsToHistogram(pixels);
			return _histogram;
		},

		getTimeStamp: function () {
			return ts;
		},

		setProgress: function (progress, isInterpolated) {
			_progress = progress;
			_isProgressInterpolated = Boolean(isInterpolated);
		},

		setPerceptualProgress: function (progress, isInterpolated) {
			_perceptualProgress = progress;
			_isPerceptualProgressInterpolated = Boolean(isInterpolated);
		},

		getImage: function () {
			return imgBuff;
		},

		getParsedImage: function () {
			if (!_parsedImage) {
				_parsedImage = jpeg.decode(imgBuff);
			}
			return _parsedImage;
		},

		getProgress: function () {
			return _progress;
		},

		isProgressInterpolated: function () {
			return _isProgressInterpolated;
		},

		getPerceptualProgress: function () {
			return _perceptualProgress;
		},

		isPerceptualProgressInterpolated: function () {
			return _isPerceptualProgressInterpolated;
		}
	};
}

module.exports = {
	extractFramesFromTimeline,
	create: frame
};