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processor.js
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processor.js
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const PROC_MODEL_PATH = 'sqrxr_112_graphopt/model.json'
const PROC_IMAGE_SIZE = 224;
const PROC_MIN_IMAGE_SIZE = 36;
const PROC_MIN_IMAGE_BYTES = 1024;
function procOnModelLoadProgress(percentage) {
console.log('LIFECYCLE: Model load '+Math.round(percentage*100)+'% at '+performance.now());
}
let PROC_isInReviewMode = false;
let PROC_wingman;
let PROC_loadedBackend;
const procWingmanStartup = async () => {
console.log('LIFECYCLE: Launching TF.js!');
let params = (new URL(document.location)).searchParams;
let backendRequested = params.get('backend');
console.log('LIFECYCLE: Backend requested '+backendRequested);
if(backendRequested != 'default') {
tf.setBackend(backendRequested || 'wasm');
}
console.log(tf.env().getFlags());
tf.enableProdMode();
await tf.ready();
PROC_loadedBackend = tf.getBackend();
console.log('LIFECYCLE: TensorflowJS backend is: '+PROC_loadedBackend);
if(PROC_loadedBackend == 'cpu') {
console.log('LIFECYCLE: WARNING! Exiting because no fast predictor can be loaded!');
PROC_wingman = null;
return;
}
console.log('LIFECYCLE: Loading model...');
PROC_wingman = await tf.loadGraphModel(PROC_MODEL_PATH, { onProgress: procOnModelLoadProgress });
console.log('LIFECYCLE: Model loaded: ' + PROC_wingman+' at '+performance.now());
console.log('LIFECYCLE: Warming up...');
let dummy_data = tf.zeros([1, PROC_IMAGE_SIZE, PROC_IMAGE_SIZE, 3]);
let warmup_result = null;
let timingInfo = await tf.time(()=>warmup_result = PROC_wingman.predict(dummy_data));
console.log(warmup_result);
console.log('LIFECYCLE: TIMING LOADING: '+JSON.stringify(timingInfo));
warmup_result[0].dispose();
warmup_result[1].dispose();
console.log('LIFECYCLE: Ready to go at '+performance.now()+'!');
};
/**
* Given an image element, makes a prediction through PROC_wingman
*/
let PROC_inferenceTimeTotal = 0;
let PROC_inferenceCountTotal = 0;
function procCreateInferenceContext() {
let canvas = document.createElement('canvas');
canvas.width = PROC_IMAGE_SIZE;
canvas.height = PROC_IMAGE_SIZE;
let ctx = canvas.getContext('2d', { alpha: false});//, powerPreference: 'high-performance'});
console.log('LIFECYCLE: Inference context: '+ctx);
ctx.imageSmoothingEnabled = true;
return { canvas: canvas, ctx: ctx };
}
let procContextReferences = [];
let procContextPool = [];
let PROC_CTX_POOL_DEFAULT_SIZE = 1;
for(let i=0; i<PROC_CTX_POOL_DEFAULT_SIZE; i++) {
let c = procCreateInferenceContext();
procContextReferences.push(c);
procContextPool.push(c);
}
function procGetCtx() {
if(procContextPool.length == 0) {
let c = procCreateInferenceContext();
procContextReferences.push(c);
procContextPool.push(c);
console.warn(`PROC: Had to increase context pool to size ${procContextReferences.length}`);
}
return procContextPool.pop();
}
function procReturnCtx(c) {
procContextPool.push(c);
}
function procIsCtxPoolEmpty() {
return procContextPool.length == 0;
}
let PROC_processingTimeTotal = 0;
let PROC_processingSinceDataEndTimeTotal = 0;
let PROC_processingSinceImageLoadTimeTotal = 0;
let PROC_processingCountTotal = 0;
async function procPredict(imgElement) {
let c = procGetCtx();
try {
let ctx = c.ctx;
const drawStartTime = performance.now();
ctx.drawImage(imgElement, 0, 0, imgElement.width, imgElement.height, 0, 0, PROC_IMAGE_SIZE,PROC_IMAGE_SIZE);
const rightSizeImageData = ctx.getImageData(0, 0, PROC_IMAGE_SIZE, PROC_IMAGE_SIZE);
const totalDrawTime = performance.now() - drawStartTime;
console.debug(`PERF: Draw time in ${Math.floor(totalDrawTime)}ms`);
const startTime = performance.now();
const logits = tf.tidy(() => {
const rightSizeImageDataTF = tf.browser.fromPixels(rightSizeImageData);
const floatImg = rightSizeImageDataTF.toFloat();
//EfficientNet
//const centered = floatImg.sub(tf.tensor1d([0.485 * 255, 0.456 * 255, 0.406 * 255]));
//const normalized = centered.div(tf.tensor1d([0.229 * 255, 0.224 * 255, 0.225 * 255]));
//MobileNet V2
const scaled = floatImg.div(tf.scalar(127.5));
const normalized = scaled.sub(tf.scalar(1));
// Reshape to a single-element batch so we can pass it to predict.
const batched = tf.stack([normalized]);
const result = PROC_wingman.predict(batched, {batchSize: 1});
return result;
});
let syncedResult = [logits[0].dataSync(),logits[1].dataSync()];
const totalTime = performance.now() - startTime;
PROC_inferenceTimeTotal += totalTime;
PROC_inferenceCountTotal++;
const avgTime = PROC_inferenceTimeTotal / PROC_inferenceCountTotal;
console.debug(`PERF: Model inference in ${Math.floor(totalTime)}ms and avg of ${Math.floor(avgTime)}ms for ${PROC_inferenceCountTotal} scanned images`);
console.debug('ML: Prediction: '+syncedResult[0]);
return syncedResult;
} finally {
procReturnCtx(c);
}
}
async function procReadFileAsDataURL (inputFile) {
const temporaryFileReader = new FileReader();
return new Promise((resolve, reject) => {
temporaryFileReader.addEventListener("error", function () {
temporaryFileReader.abort();
reject(new DOMException("Problem parsing input file."));
},false);
temporaryFileReader.addEventListener("load", function () {
resolve(temporaryFileReader.result);
}, false);
temporaryFileReader.readAsDataURL(inputFile);
});
};
let PROC_LOG_IMG_SIZE = 150;
let PROC_logCanvas = document.createElement('canvas');
PROC_logCanvas.width = PROC_LOG_IMG_SIZE;
PROC_logCanvas.height = PROC_LOG_IMG_SIZE;
let PROC_logCtx = PROC_logCanvas.getContext('2d', { alpha: false});
PROC_logCanvas.imageSmoothingEnabled = true;
async function procCommonLogImg(img, message)
{
return await procCommonLogImgGeneric(img, message, console.log);
}
async function procCommonWarnImg(img, message)
{
return await procCommonLogImgGeneric(img, message, console.warn);
}
async function procCommonLogImgGeneric(img, message, logger)
{
let maxSide = Math.max(img.width, img.height);
let ratio = PROC_LOG_IMG_SIZE/maxSide;
let newWidth = img.width*ratio;
let newHeight = img.height*ratio;
PROC_logCtx.clearRect(0,0,PROC_logCanvas.width,PROC_logCanvas.height);
PROC_logCtx.drawImage(img, 0, 0, newWidth, newHeight);
let logDataUrl = PROC_logCanvas.toDataURL('image/jpeg', 0.7);
let blockedCSS = 'color: #00FF00; padding: 75px; line-height: 150px; background-image: url('+logDataUrl+'); background-size: contain; background-repeat: no-repeat;';
logger('%c '+message, blockedCSS);
}
async function procCommonCreateSvgFromBlob(img, sqrxrScore, blob)
{
let dataURL = PROC_isInReviewMode ? await procReadFileAsDataURL(blob) : null;
return procCommonCreateSvg(img, sqrxrScore, dataURL);
}
let PROC_iconDataURI = "data:image/png;base64,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";
let PROC_isSilentModeEnabled = true;
async function procCommonCreateSvg(img, sqrxrScore, dataURL)
{
let threshold = sqrxrScore[1][0];
let confidence = rocFindConfidence(threshold);
let visibleScore = Math.floor(confidence*100);
if(PROC_isSilentModeEnabled) {
return await SM_getReplacementSVG(img, visibleScore);
} else {
let svgText = '<?xml version="1.0" standalone="no"?> <!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd"> <svg width="'+img.width+'" height="'+img.height+'" version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">'
+'<g transform="translate(20 20)">'
+ '<g transform="matrix(1.123 0 0 1.123 -10.412 -76.993)">'
+ '<g transform="translate(-.18271)" stroke="#000" stroke-width=".24169px">'
+ '<path d="m15.789 83.695 10.897 14.937 2.169-11.408-2.6759 5.763z"/>'
+ '<path d="m43.252 83.695-10.897 14.937-2.169-11.408 2.6759 5.763z"/>'
+ '</g>'
+ '<g transform="translate(.29293 -1.5875)">'
+ '<path d="m26.385 98.602 2.6423-2.9066 2.6423 2.9066" fill="none" stroke="#000" stroke-width=".26458px"/>'
+ '</g>'
+ '<circle cx="29.338" cy="87.549" r=".33705" stroke="#13151c" stroke-width=".093848"/>'
+ '</g>'
+ (PROC_isInReviewMode ? '<image href="'+dataURL+'" x="0" y="0" height="'+img.height+'px" width="'+img.width+'px" opacity="0.2" />' : '')
+'<text transform="translate(12 20)" font-size="20" fill="red">'+visibleScore+'</text>'
+'</g>'
+'</svg>';
return svgText;
}
}
let PROC_checkThreshold = ROC_neutralRoc;
function procSetThreshold(threshold) {
PROC_checkThreshold = threshold;
}
function procScoreToStr(sqrxrScore) {
return sqrxrScore[1][0].toFixed(5) + ' ('+
sqrxrScore[0][0].toFixed(2)+', '+
sqrxrScore[0][1].toFixed(2)+', '+
sqrxrScore[0][2].toFixed(2)+', '+
sqrxrScore[0][3].toFixed(2)+')';
}
function procIsSafe(sqrxrScore) {
return sqrxrScore[1][0] < PROC_checkThreshold;
}
const procLoadImagePromise = url => new Promise( (resolve, reject) => {
const img = new Image()
img.onerror = e => reject(e)
img.onload = () => resolve(img)
img.decoding = 'sync'
img.src = url
});
let PROC_timingInfoDumpCount = 0;
async function procPerformFiltering(entry) {
let dataEndTime = performance.now();
console.info('WEBREQP: starting work for '+entry.requestId +' from '+entry.url);
let result = {
type: 'scan',
requestId: entry.requestId,
imageBytes: null,
result: null
};
let byteCount = 0;
for(let i=0; i<entry.buffers.length; i++) {
byteCount += entry.buffers[i].byteLength;
}
let blob = new Blob(entry.buffers, {type: entry.mimeType});
let url = null;
try
{
if(byteCount >= PROC_MIN_IMAGE_BYTES) { //only scan if the image is complex enough to be objectionable
url = URL.createObjectURL(blob);
let img = await procLoadImagePromise(url);
console.debug('img loaded '+entry.requestId)
if(img.width>=PROC_MIN_IMAGE_SIZE && img.height>=PROC_MIN_IMAGE_SIZE){ //there's a lot of 1x1 pictures in the world that don't need filtering!
console.debug('ML: predict '+entry.requestId+' size '+img.width+'x'+img.height+', materialization occured with '+byteCount+' bytes');
let imgLoadTime = performance.now();
let sqrxrScore;
if(PROC_timingInfoDumpCount<10) {
PROC_timingInfoDumpCount++;
let timingInfo = await tf.time(async ()=>sqrxrScore=await procPredict(img));
console.debug('PERF: TIMING NORMAL: '+JSON.stringify(timingInfo));
} else {
sqrxrScore = await procPredict(img);
}
if(procIsSafe(sqrxrScore)) {
console.log('ML: Passed: '+procScoreToStr(sqrxrScore)+' '+entry.requestId);
result.result = 'pass';
result.imageBytes = await blob.arrayBuffer();
} else {
console.log('ML: Blocked: '+procScoreToStr(sqrxrScore)+' '+entry.requestId);
let svgText = await procCommonCreateSvgFromBlob(img, sqrxrScore, blob);
procCommonWarnImg(img, 'BLOCKED IMG '+procScoreToStr(sqrxrScore));
let encoder = new TextEncoder();
let encodedTypedBuffer = encoder.encode(svgText);
result.result = 'block';
result.imageBytes = encodedTypedBuffer.buffer;
}
const endTime = performance.now();
const totalTime = endTime - entry.startTime;
const totalSinceDataEndTime = endTime - dataEndTime;
const totalSinceImageLoadTime = endTime - imgLoadTime;
PROC_processingTimeTotal += totalTime;
PROC_processingSinceDataEndTimeTotal += totalSinceDataEndTime;
PROC_processingSinceImageLoadTimeTotal += totalSinceImageLoadTime;
PROC_processingCountTotal++;
console.debug('PERF: Processed in '+totalTime
+' (' +totalSinceDataEndTime+' data end, '
+totalSinceImageLoadTime+' img load) with an avg of '
+Math.round(PROC_processingTimeTotal/PROC_processingCountTotal)
+' ('+Math.round(PROC_processingSinceDataEndTimeTotal/PROC_processingCountTotal)
+' data end, ' + Math.round(PROC_processingSinceImageLoadTimeTotal/PROC_processingCountTotal)
+' img load) at a count of '+PROC_processingCountTotal);
console.debug('WEBREQ: Finishing '+entry.requestId);
} else {
result.result = 'tiny';
result.imageBytes = await blob.arrayBuffer();
}
} else {
result.result = 'tiny';
result.imageBytes = await blob.arrayBuffer();
}
} catch(e) {
console.error('WEBREQP: Error for '+entry.url+': '+e);
result.result = 'error';
result.imageBytes = result.imageBytes || await blob.arrayBuffer();
} finally {
console.debug('WEBREQP: Finishing '+entry.requestId);
if(url != null) {
URL.revokeObjectURL(url);
}
}
return result;
}
async function procAdvanceB64Filtering(dataStr, b64Filter, outputPort) {
b64Filter.fullStr += dataStr;
}
async function procCompleteB64Filtering(b64Filter, outputPort) {
let startTime = performance.now();
let fullStr = b64Filter.fullStr;
console.info('WEBREQ: base64 stop '+fullStr.length);
//Unfortunately, str.replace cannot accept a promise as a function,
//so we simply set 'em up and knock 'em down.
//Note there is a funky bit at the end to catch = encoded as \x3d
//but we need to exclude e.g. \x22 from showing up inside the match. Ugh.
//However, we also must allow '\/' to show up, making for a nasty two character
//allowed sequence when the rest are single chars up to the end. Double ugh.
let dataURIMatcher = /data:image\\{0,2}\/[a-z]+;base64,([A-Za-z0-9=+\/ \-]|\\\/)+(\\x3[dD])*/g;
let endOfLastImage = 0;
let result;
while((result = dataURIMatcher.exec(fullStr))!==null) {
//We found an image. We can output from the end of the last image
//until the start of this one to start with.
let inBetweenStr = fullStr.substring(endOfLastImage, result.index);
outputPort.postMessage({
type: 'b64_data',
requestId: b64Filter.requestId,
dataStr: inBetweenStr
});
endOfLastImage = result.index + result[0].length;
//Now check the image and either output the original or the replacement
let rawImageDataURI = result[0];
//Note we now have move \x3d's into ='s for proper base64 decoding
let imageDataURI = rawImageDataURI;
let wasJSEncoded = imageDataURI.startsWith('data:image\\/'); //Unencoded, data:image\\/
let prefixId = imageDataURI.slice(0,20);
if(wasJSEncoded) {
imageDataURI = imageDataURI.replace(/\\/g,''); //Unencoded, \ -> ''
let newPrefixId = imageDataURI.slice(0,20);
console.debug('WEBREQ: base64 image JS encoding detected: '+prefixId+'->'+newPrefixId);
} else {
console.debug('WEBREQ: base64 image no extra encoding detected: '+prefixId);
}
imageDataURI = imageDataURI.replace(/\\x3[dD]/g,'=');
let imageToOutput = imageDataURI;
let imageId = imageDataURI.slice(-20);
console.debug('WEBREQ: base64 image loading: '+imageId);
let byteCount = imageDataURI.length*3/4;
if(byteCount >= PROC_MIN_IMAGE_BYTES) {
console.info('WEBREQ: base64 image loaded: '+imageId);
try
{
let img = await procLoadImagePromise(imageDataURI);
if(img.width>=PROC_MIN_IMAGE_SIZE && img.height>=PROC_MIN_IMAGE_SIZE){ //there's a lot of 1x1 pictures in the world that don't need filtering!
console.debug('ML: base64 predict '+imageId+' size '+img.width+'x'+img.height+', materialization occured with '+byteCount+' bytes');
let sqrxrScore = await procPredict(img);
console.debug('ML: base64 score: '+procScoreToStr(sqrxrScore));
let replacement = null; //safe
if(procIsSafe(sqrxrScore)) {
outputPort.postMessage({
type:'stat',
result:'pass',
requestId: b64Filter.requestId+'_'+imageId
});
console.log('ML: base64 filter Passed: '+procScoreToStr(sqrxrScore)+' '+b64Filter.requestId);
} else {
outputPort.postMessage({
type:'stat',
result:'block',
requestId: b64Filter.requestId+'_'+imageId
});
let svgText = await procCommonCreateSvg(img,sqrxrScore,img.src);
let svgURI='data:image/svg+xml;base64,'+window.btoa(svgText);
console.log('ML: base64 filter Blocked: '+procScoreToStr(sqrxrScore)+' '+b64Filter.requestId);
procCommonWarnImg(img, 'BLOCKED IMG BASE64 '+procScoreToStr(sqrxrScore));
replacement = svgURI;
}
const totalTime = performance.now() - startTime;
console.log(`PERF: Total processing in ${Math.floor(totalTime)}ms`);
if(replacement !== null) {
if(wasJSEncoded) {
console.log('WEBREQ: base64 JS encoding replacement fixup for '+imageId);
replacement = replacement.replace(/\//g,'\\/'); //Unencoded / -> \/
}
imageToOutput = replacement;
}
} else {
outputPort.postMessage({
type:'stat',
result:'tiny',
requestId: b64Filter.requestId+'_'+imageId
});
console.debug('WEBREQ: base64 skipping image with small dimensions: '+imageId);
}
}
catch(e)
{
outputPort.postMessage({
type:'stat',
result:'error',
requestId: b64Filter.requestId+'_'+imageId
});
console.error('WEBREQ: base64 check failure for '+imageId+': '+e);
}
}
outputPort.postMessage({
type: 'b64_data',
requestId: b64Filter.requestId,
dataStr: imageToOutput
});
}
//Now flush the last part
let finalNonImageChunk = fullStr.substring(endOfLastImage);
outputPort.postMessage({
type: 'b64_data',
requestId: b64Filter.requestId,
dataStr: finalNonImageChunk
});
outputPort.postMessage({
type: 'b64_close',
requestId: b64Filter.requestId
});
}
let PROC_openRequests = {};
let PROC_openB64Requests = {};
let PROC_openVidRequests = {};
let PROC_processingQueue = [];
let PROC_inFlight = 0;
let PROC_scanStartCount = 0;
let PROC_throttleRejectionCount = 0;
async function procCheckProcess() {
console.info('QUEUE: In Flight: '+PROC_inFlight+' In Queue: '+PROC_processingQueue.length);
if(PROC_processingQueue.length == 0) {
return;
}
if(PROC_inFlight > PROC_CTX_POOL_DEFAULT_SIZE) {
PROC_throttleRejectionCount++;
console.log('QUEUE: Throttling ('+PROC_inFlight+')');
return;
}
//It is critical that PROC_inFlight always goes up AND DOWN, hence all the try/catch action.
let toProcess = PROC_processingQueue.shift();
if(toProcess !== undefined) {
PROC_inFlight++;
PROC_scanStartCount++;
PROC_throttleRejectionCount = 0;
let result;
try {
console.debug('QUEUE: Processing (PROC_inFlight='+PROC_inFlight+') request '+toProcess.requestId);
result = await procPerformFiltering(toProcess);
} catch(ex) {
console.error('ML: Error scanning image '+ex);
}
PROC_inFlight--;
if(PROC_inFlight < 0) {
console.error(`QUEUE: Invalid negative PROC_inFlight ${PROC_inFlight}! Setting to 0.`);
PROC_inFlight = 0;
}
try {
PROC_port.postMessage(result);
PROC_port.postMessage({
type:'stat',
result: result.result,
requestId: toProcess.requestId
});
} catch(e) {
console.error('ERROR: Processor failed to communicate to background: '+e);
}
} else {
console.log('QUEUE: Rare time where processing queue drained? Length: '+PROC_processingQueue.length);
}
await procCheckProcess();
}
let PROC_watchdogScanStartCount = 0;
let PROC_watchdogThrottleRejectionCount = 0;
let PROC_watchdogKickCount = 0;
async function procWatchdog() {
//Has the throttle count increased and scan start count stayed stuck?
console.info(`WATCHDOG: Processor queue check - Current in flight ${PROC_inFlight}, queue length ${PROC_processingQueue.length}, throttle rejection count ${PROC_throttleRejectionCount}, scan start count ${PROC_scanStartCount}, kick count ${PROC_watchdogKickCount}`);
if(PROC_watchdogThrottleRejectionCount > PROC_throttleRejectionCount
&& PROC_watchdogScanStartCount == PROC_scanStartCount) {
try {
PROC_watchdogKickCount++;
console.error(`WATCHDOG: Processor queue kicked! Resetting in flight count. Current in flight ${PROC_inFlight}, queue length ${PROC_processingQueue.length}, throttle rejection count ${PROC_throttleRejectionCount}, scan start count ${PROC_scanStartCount}, kick count ${PROC_watchdogKickCount}`);
PROC_inFlight = 0;
await procCheckProcess();
} catch(e) {
console.error(`WATCHDOG: Error kicking processor queue check scan ${e}`);
}
}
PROC_watchdogScanStartCount = PROC_scanStartCount;
PROC_watchdogThrottleRejectionCount = PROC_throttleRejectionCount;
}
setInterval(procWatchdog, 3000);
function procGetMaxVideoTime(video) {
/*
if(!isNaN(video.duration)) {
return video.duration;
}
*/
let maxTime = -1;
for(let i=0; i<video.buffered.length; i++) {
if(video.buffered.end(i) > maxTime) {
maxTime = video.buffered.end(i);
}
}
return maxTime;
}
function procGetBufferedRangesString(video) {
let result = '';
for(let i=0; i<video.buffered.length && (result += ','); i++) {
result += '['+video.buffered.start(i)+','+video.buffered.end(i)+']';
}
return result;
}
const procVideoLoadedData = (video,url,seekTime) => new Promise( (resolve, reject) => {
video.addEventListener('error', ()=>reject(video.error), {once: true});
video.addEventListener('seeked', () => {
video.width = video.videoWidth;
video.height = video.videoHeight;
resolve();
} , {once:true});
video.src = url;
video.currentTime = seekTime;
});
function procGetMp4Parsed(buffers) {
let size = buffers.reduce((a,b) => a + b.byteLength, 0);
let bytes = new Uint8Array(size);
let offset = 0;
for (let b of buffers) {
bytes.set(b, offset);
offset += b.byteLength;
}
let parsed = muxjs.mp4.tools.inspect(bytes);
return parsed;
}
function procGetVideoUrl(requestId, mimeType, buffers) {
if(mimeType.toLowerCase().startsWith('video/mp2t')) {
console.info('MLV: URL MP2T detected for '+requestId+', mime '+mimeType);
//remux that sucker to MP4 quick
let transmuxer = new muxjs.mp4.Transmuxer();
let tBuffers = [];
transmuxer.on('data', (segment) => {
if(tBuffers.length == 0) {
tBuffers.push(segment.initSegment);
}
tBuffers.push(segment.data);
});
buffers.forEach(b=>transmuxer.push(new Uint8Array(b)));
transmuxer.flush();
let blob = new Blob(tBuffers, {type: 'video/mp4'});
return URL.createObjectURL(blob);
} else {
console.debug('MLV: URL default detected for '+requestId+', mime '+mimeType);
let blob = new Blob(buffers, {type: mimeType});
return URL.createObjectURL(blob);
}
}
async function procGetVideoScanStatus(
videoChainId,
requestId,
requestType,
url,
mimeType,
buffers,
scanStart,
scanStep,
scanMaxSteps,
scanBlockBailCount
) {
let inferenceVideo, videoUrl, sqrxrScore;
let scanResults = {
type: 'vid_scan',
videoChainId: videoChainId,
requestId: requestId,
scanCount: 0,
blockCount: 0,
error: undefined,
frames: []
};
try {
console.info('MLV: SCAN video '+requestId+', type '+requestType+', MIME '+mimeType+' for video group '+videoChainId);
inferenceVideo = document.createElement('video');
inferenceVideo.onencrypted = function() {
console.log('MLV: encrypted: '+requestId); //This will fail :(
};
//inferenceVideo.type = vidFilter.mimeType; //?
inferenceVideo.autoplay = false;
videoUrl = procGetVideoUrl(requestId, mimeType, buffers);
for(var i=0; i<scanMaxSteps; i++) {
let seekTime = scanStart+scanStep*i;
await procVideoLoadedData(inferenceVideo, videoUrl, seekTime);
let maxTime = procGetMaxVideoTime(inferenceVideo); //important to do this AFTER loading
console.log('MLV: SCAN max time '+maxTime+' vs seek time '+seekTime+' vs current time '+inferenceVideo.currentTime+' vs ranges '+procGetBufferedRangesString(inferenceVideo)+' vs readyState '+inferenceVideo.readyState+' vs seeking='+inferenceVideo.seeking+' for '+videoChainId+' at request '+requestId);
if(maxTime < seekTime) {
break; //invalid even though it tried to seek!
}
console.debug('MLV: predicting video '+requestId+' WxH '+inferenceVideo.width+','+inferenceVideo.height+' at '+seekTime+' for video group '+videoChainId);
sqrxrScore = await procPredict(inferenceVideo);
scanResults.scanCount++;
let frameStatus;
if(procIsSafe(sqrxrScore))
{
console.log('MLV: SCAN PASS video score @'+seekTime+': '+procScoreToStr(sqrxrScore)+' type '+requestType+', MIME '+mimeType+' for video group '+videoChainId);
await procCommonLogImg(inferenceVideo, 'MLV: SCAN PASS VID @'+seekTime+' '+procScoreToStr(sqrxrScore));
frameStatus = 'pass';
}
else
{
console.log('MLV: SCAN BLOCKED video score @'+seekTime+': '+procScoreToStr(sqrxrScore)+' type '+requestType+', MIME '+mimeType+' for video group '+videoChainId);
await procCommonWarnImg(inferenceVideo, 'MLV: SCAN BLOCKED VID @'+seekTime+' '+procScoreToStr(sqrxrScore));
frameStatus = 'block';
scanResults.blockCount++;
}
scanResults.frames.push({ 'time': seekTime, 'status': frameStatus});
if(scanResults.blockCount >= scanBlockBailCount) {
console.log('MLV: Bailing on '+requestId+' for video chain '+videoChainId+' because of block count '+scanResults.blockCount);
break;
}
}
} catch(e) {
console.error('MLV: SCAN Error scanning video group '+videoChainId+':'+e+' '+e.name+' '+e.code+' '+e.message);
scanResults.error = e;
} finally {
URL.revokeObjectURL(videoUrl);
}
return scanResults;
}
async function procOnPortMessage(m) {
console.debug(`PROCV: Received message of type ${m.type}`);
switch(m.type) {
case 'settings' : {
console.log(`CONFIG: Settings update for ${PROC_processorId}: ${JSON.stringify(m)}`);
PROC_isSilentModeEnabled = m.isSilentModeEnabled;
}
break;
case 'start': {
PROC_openRequests[m.requestId] = {
requestId: m.requestId,
url: m.url,
mimeType: m.mimeType,
startTime: performance.now(),
buffers: []
};
console.debug('PERF: '+PROC_processorId+' has open requests queue size '+Object.keys(PROC_openRequests).length);
}
break;
case 'ondata': {
console.debug('DATA: '+m.requestId);
PROC_openRequests[m.requestId].buffers.push(m.data);
}
break;
case 'onerror': {
delete PROC_openRequests[m.requestId];
PROC_port.postMessage({
type:'stat',
result: 'error',
requestId: m.requestId
});
}
break;
case 'onstop': {
PROC_processingQueue.push(PROC_openRequests[m.requestId]);
delete PROC_openRequests[m.requestId];
await procCheckProcess();
}
case 'b64_start': {
PROC_openB64Requests[m.requestId] = {
requestId: m.requestId,
startTime: performance.now(),
fullStr: ''
};
}
break;
case 'b64_ondata': {
await procAdvanceB64Filtering(m.dataStr, PROC_openB64Requests[m.requestId], PROC_port);
}
break;
case 'b64_onerror': {
delete openB64Filters[m.requestId];
}
case 'b64_onstop': {
await procCompleteB64Filtering(PROC_openB64Requests[m.requestId], PROC_port);
}
break;
case 'vid_chunk': {
console.log('DATAV: vid_start '+m.requestId+' with buffers length '+m.buffers.length+' for video chain '+m.videoChainId);
let scanResults = await procGetVideoScanStatus(
m.videoChainId,
m.requestId,
m.requestType,
m.url,
m.mimeType,
m.buffers,
m.scanStart,
m.scanStep,
m.scanMaxSteps,
m.scanBlockBailCount
);
try {
PROC_port.postMessage(scanResults);
} catch(e) {
//Sometimes we can get a DataCloneError, presumably if the native exception can't be cloned
if(scanResults.error) {
console.warn(`DATAV: Failed to post video result for ${m.requestId} because ${e}, try to avoid DataCloneError`);
scanResults.error = scanResults.error.message;
PROC_port.postMessage(scanResults);
} else {
console.error(`DATAV: Failed to post video result for ${m.requestId} because ${e}, unsure how to proceed.`);
}
}
}
break;
case 'thresholdChange': {
console.log('PROC: Setting threshold '+m.threshold);
procSetThreshold(m.threshold);
}
break;
default: {
console.error('ERROR: received unknown message: '+m);
}
break;
}
}
let PROC_port = null;
let PROC_processorId = (new URL(document.location)).searchParams.get('id');
procWingmanStartup()
.then(async ()=>
{
PROC_port = browser.runtime.connect(browser.runtime.id, {name:PROC_processorId});
PROC_port.onMessage.addListener(procOnPortMessage);
PROC_port.postMessage({
type: 'registration',
tabId: (await browser.tabs.getCurrent()).id,
processorId: PROC_processorId,
backend: PROC_loadedBackend
});
});