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import { create } from "zustand"
import { ClapProject, ClapSegment, newClap, parseClap } from "@aitube/clap"
import { getVideoPrompt } from "@aitube/engine"
import { LatentEngineStore } from "./types"
import { resolveSegments } from "../resolvers/resolveSegments"
import { fetchLatentClap } from "./generators/fetchLatentClap"
import { InteractiveSegmenterResult, MPMask } from "@mediapipe/tasks-vision"
import { segmentFrame } from "@/lib/on-device-ai/segmentFrameOnClick"
import { drawSegmentation } from "../utils/canvas/drawSegmentation"
import { getZIndexDepth } from "../utils/data/getZIndexDepth"
import { getSegmentStartAt } from "../utils/data/getSegmentStartAt"
import { getElementsSortedByStartAt } from "../utils/data/getElementsSortedByStartAt"
import { getSegmentEndAt } from "../utils/data/getSegmentEndAt"
import { setZIndexDepthId } from "../utils/data/setZIndexDepth"
import { setSegmentStartAt } from "../utils/data/setSegmentStartAt"
import { setSegmentEndAt } from "../utils/data/setSegmentEndAt"
import { setSegmentId } from "../utils/data/setSegmentId"
export const useLatentEngine = create<LatentEngineStore>((set, get) => ({
jwtToken: "",
width: 512,
height: 288,
clap: newClap(),
debug: true,
headless: false, // false by default
isLoop: false,
isStatic: false,
isLive: false,
isInteractive: false,
isLoading: false, // true when a .clap is being downloaded and/or generated
isLoaded: false, // true if a clap is loaded
isPlaying: false,
isPaused: true,
// our "this is AI.. gasp!" disclaimer
hasDisclaimer: true,
hasPresentedDisclaimer: false,
videoSimulationPromise: undefined,
videoSimulationPending: false,
videoSimulationStartedAt: performance.now(),
videoSimulationEndedAt: performance.now(),
videoSimulationDurationInMs: 0,
videoSimulationVideoPlaybackFPS: 0,
videoSimulationRenderingTimeFPS: 0,
interfaceSimulationPromise: undefined,
interfaceSimulationPending: false,
interfaceSimulationStartedAt: performance.now(),
interfaceSimulationEndedAt: performance.now(),
interfaceSimulationDurationInMs: 0,
entitySimulationPromise: undefined,
entitySimulationPending: false,
entitySimulationStartedAt: performance.now(),
entitySimulationEndedAt: performance.now(),
entitySimulationDurationInMs: 0,
renderingIntervalId: undefined,
renderingIntervalDelayInMs: 150, // 0.2s
renderingLastRenderAt: performance.now(),
// for our calculations to be correct
// those need to match the actual output from the API
// don't trust the parameters you send to the API,
// instead check the *actual* values with VLC!!
videoModelFPS: 24,
videoModelNumOfFrames: 60, // 80,
videoModelDurationInSec: 2.584,
playbackSpeed: 1,
positionInMs: 0,
durationInMs: 0,
// this is the "buffer size"
videoLayers: [
{
id: "video-buffer-0",
element: null as unknown as JSX.Element,
},
{
id: "video-buffer-1",
element: null as unknown as JSX.Element,
},
/*
{
id: "video-buffer-2",
element: null as unknown as JSX.Element,
},
{
id: "video-buffer-3",
element: null as unknown as JSX.Element,
},
*/
],
videoElements: [],
interfaceLayers: [],
setJwtToken: (jwtToken: string) => {
set({
jwtToken
})
},
setContainerDimension: ({ width, height }: { width: number; height: number }) => {
set({
width,
height
})
},
imagine: async (prompt: string): Promise<void> => {
set({
isLoaded: false,
isLoading: true,
})
let clap: ClapProject | undefined = undefined
try {
clap = await fetchLatentClap(prompt)
} catch (err) {
console.error(`generateAndLoad failed (${err})`)
set({
isLoading: false,
})
}
if (!clap) { return }
get().open(clap)
},
open: async (src?: string | ClapProject | Blob) => {
const { debug } = get()
set({
isLoaded: false,
isLoading: true,
})
let clap: ClapProject | undefined = undefined
try {
clap = await parseClap(src, debug)
} catch (err) {
console.error(`failed to open the Clap: ${err}`)
set({
isLoading: false,
})
}
if (!clap) { return }
set({
clap,
isLoading: false,
isLoaded: true,
isLoop: clap.meta.isLoop,
isStatic: !clap.meta.isInteractive,
isLive: false,
isInteractive: clap.meta.isInteractive,
})
},
setVideoElements: (videoElements: HTMLVideoElement[] = []) => { set({ videoElements }) },
processClickOnSegment: (result: InteractiveSegmenterResult) => {
console.log(`processClickOnSegment: user clicked on something:`, result)
const { videoElements, debug } = get()
if (!result?.categoryMask) {
if (debug) {
console.log(`processClickOnSegment: no categoryMask, so we skip the click`)
}
return
}
try {
if (debug) {
console.log(`processClickOnSegment: callling drawSegmentation`)
}
const firstVisibleVideo = videoElements.find(element =>
getZIndexDepth(element) > 0
)
const segmentationElements = Array.from(
document.querySelectorAll('.segmentation-canvas')
) as HTMLCanvasElement[]
const segmentationElement = segmentationElements.at(0)
const canvasMask: HTMLCanvasElement = drawSegmentation({
mask: result.categoryMask,
canvas: segmentationElement,
backgroundImage: firstVisibleVideo,
fillStyle: "rgba(255, 255, 255, 1.0)"
})
// TODO: read the canvas te determine on what the user clicked
if (debug) {
console.log(`processClickOnSegment: filtering the original image`)
}
// filterImage(imageElement, canvasMask)
if (debug) {
console.log("processClickOnSegment: TODO call data.close() to free the memory!")
}
result.close()
} catch (err) {
console.error(`processClickOnSegment: something failed ${err}`)
}
},
onClickOnSegmentationLayer: (event) => {
const { videoElements, debug } = get()
if (debug) {
console.log("onClickOnSegmentationLayer")
}
const firstVisibleVideo = videoElements.find(element =>
getZIndexDepth(element) > 0
)
if (!firstVisibleVideo) { return }
const box = event.currentTarget.getBoundingClientRect()
const px = event.clientX
const py = event.clientY
const x = px / box.width
const y = py / box.height
console.log(`onClickOnSegmentationLayer: user clicked on `, { x, y, px, py, box, videoElements })
const fn = async () => {
// todo julian: this should use the visible element instead
const results: InteractiveSegmenterResult = await segmentFrame(firstVisibleVideo, x, y)
get().processClickOnSegment(results)
}
fn()
},
togglePlayPause: (): boolean => {
const { isLoaded, isPlaying, playbackSpeed, renderingIntervalId, videoElements } = get()
if (!isLoaded) { return false }
const newValue = !isPlaying
clearInterval(renderingIntervalId)
const firstVisibleVideo = videoElements.find(element =>
getZIndexDepth(element) > 0
)
// Note Julian: we could also let the background scheduler
// (runRenderingLoop) do its work of advancing the cursor here
if (newValue) {
if (firstVisibleVideo) {
try {
firstVisibleVideo.playbackRate = playbackSpeed
firstVisibleVideo.play()
} catch (err) {
console.error(`togglePlayPause: failed to start the video (${err})`)
}
}
set({
isPlaying: true,
renderingIntervalId: setTimeout(() => { get().runRenderingLoop() }, 0)
})
} else {
if (firstVisibleVideo) {
try {
firstVisibleVideo.playbackRate = playbackSpeed
firstVisibleVideo.pause()
} catch (err) {
console.error(`togglePlayPause: failed to pause the video (${err})`)
}
}
set({ isPlaying: false })
}
return newValue
},
play: (): boolean => {
const { isLoaded, isPlaying, renderingIntervalId, renderingIntervalDelayInMs } = get()
if (!isLoaded) { return false }
if (isPlaying) { return true }
clearInterval(renderingIntervalId)
set({
isPlaying: true,
renderingIntervalId: setTimeout(() => { get().runRenderingLoop() }, 0)
})
return true
},
pause: (): boolean => {
const { isLoaded, renderingIntervalId } = get()
if (!isLoaded) { return false }
clearInterval(renderingIntervalId)
set({ isPlaying: false })
return false
},
// a slow rendering function (async - might call a third party LLM)
runVideoSimulationLoop: async () => {
const {
isLoaded,
isPlaying,
clap,
playbackSpeed,
positionInMs,
videoModelFPS,
videoModelNumOfFrames,
videoModelDurationInSec,
videoElements,
jwtToken,
} = get()
if (!isLoaded || !isPlaying) {
set({ videoSimulationPending: false })
return
}
set({
videoSimulationPending: true,
videoSimulationStartedAt: performance.now(),
})
const videosSortedByStartAt = getElementsSortedByStartAt(videoElements)
// videos whose timestamp is behind the current cursor
let toRecycle: HTMLVideoElement[] = []
let toPlay: HTMLVideoElement[] = []
let toPreload: HTMLVideoElement[] = []
for (let i = 0; i < videosSortedByStartAt.length; i++) {
const video = videosSortedByStartAt[i]
const segmentStartAt = getSegmentStartAt(video)
const segmentEndAt = getSegmentEndAt(video)
// this segment has been spent, it should be discared
if (segmentEndAt < positionInMs) {
toRecycle.push(video)
} else if (segmentStartAt < positionInMs) {
toPlay.push(video)
video.play()
setZIndexDepthId(video, 10)
} else {
toPreload.push(video)
video.pause()
setZIndexDepthId(video, 0)
}
}
const videoDurationInMs = videoModelDurationInSec * 1000
// TODO julian: this is an approximation
// to grab the max number of segments
const maxBufferDurationInMs = positionInMs + (videoDurationInMs * 4)
console.log(`DEBUG: `, {
positionInMs,
videoModelDurationInSec,
videoDurationInMs,
"(videoDurationInMs * 4)": (videoDurationInMs * 4),
maxBufferDurationInMs,
segments: clap.segments
})
const prefilterSegmentsForPerformanceReasons: ClapSegment[] = clap.segments.filter(s =>
s.startTimeInMs >= positionInMs &&
s.startTimeInMs < maxBufferDurationInMs
)
console.log(`prefilterSegmentsForPerformanceReasons: `, prefilterSegmentsForPerformanceReasons)
// this tells us how much time is left
let remainingTimeInMs = Math.max(0, clap.meta.durationInMs - positionInMs)
// to avoid interruptions, we should jump to the beginning of the project
// as soo as we are start playing back the "last" video segment
// now, we need to recycle spent videos,
// by discarding their content and replacing it with fresh one
//
// yes: I know the code is complex and not intuitive - sorry about that
const extraPositivePrompt: string[] = ["high quality", "crisp", "detailed"]
let bufferAheadOfCurrentPositionInMs = positionInMs
for (let i = 0; i < toRecycle.length; i++) {
console.log(`got a spent video to recycle`)
// we select the segments in the current shot
const shotSegmentsToPreload: ClapSegment[] = prefilterSegmentsForPerformanceReasons.filter(s =>
s.startTimeInMs >= bufferAheadOfCurrentPositionInMs &&
s.startTimeInMs < (bufferAheadOfCurrentPositionInMs + videoDurationInMs)
)
bufferAheadOfCurrentPositionInMs += videoDurationInMs
const prompt = getVideoPrompt(shotSegmentsToPreload, clap.entityIndex, extraPositivePrompt)
console.log(`video prompt: ${prompt}`)
// could also be the camera
// after all, we don't necessarily have a shot,
// this could also be a gaussian splat
const shotData = shotSegmentsToPreload.find(s => s.category === "video")
console.log(`shotData:`, shotData)
if (!prompt || !shotData) { continue }
const recycled = toRecycle[i]
recycled.pause()
setSegmentId(recycled, shotData.id)
setSegmentStartAt(recycled, shotData.startTimeInMs)
setSegmentEndAt(recycled, shotData.endTimeInMs)
setZIndexDepthId(recycled, 0)
// this is the best compromise for now in term of speed
const width = 512
const height = 288
// this is our magic trick: we let the browser do the token-secured,
// asynchronous and parallel video generation call for us
//
// one issue with this approach is that it hopes the video
// will be downloaded in time, but it's not an exact science
//
// first, generation time varies between 4sec and 7sec,
// then some people will get 300ms latency due to their ISP,
// and finally the video itself is a 150~200 Kb payload)
recycled.src = `/api/resolvers/video?t=${
// to prevent funny people from using this as a free, open-bar video API
// we have this system of token with a 24h expiration date
// we might even make it tighter in the future
jwtToken
}&w=${
width
}&h=${
height
}&p=${
// let's re-use the best ideas from the Latent Browser:
// a text uri equals a latent resource
encodeURIComponent(prompt)
}`
toPreload.push(recycled)
}
const videoSimulationEndedAt = performance.now()
const videoSimulationDurationInMs = videoSimulationEndedAt - get().videoSimulationStartedAt
const videoSimulationDurationInSec = videoSimulationDurationInMs / 1000
const videoSimulationVideoPlaybackFPS = videoModelFPS * playbackSpeed
const videoSimulationRenderingTimeFPS = videoModelNumOfFrames / videoSimulationDurationInSec
set({
videoSimulationPending: false,
videoSimulationEndedAt,
videoSimulationDurationInMs,
videoSimulationVideoPlaybackFPS,
videoSimulationRenderingTimeFPS,
})
},
// a slow rendering function (async - might call a third party LLM)
runInterfaceSimulationLoop: async () => {
const {
isLoaded,
isPlaying,
clap,
} = get()
if (!isLoaded || !isPlaying) {
set({ interfaceSimulationPending: false })
return
}
set({
interfaceSimulationPending: true,
interfaceSimulationStartedAt: performance.now(),
})
try {
if (get().isPlaying) {
// console.log(`runSimulationLoop: rendering UI layer..`)
// note: for now we only display one panel at a time,
// later we can try to see if we should handle more
// for nice gradient transition,
const interfaceLayers = await resolveSegments(clap, "interface", 1)
if (get().isPlaying) {
set({
interfaceLayers
})
// console.log(`runSimulationLoop: rendered UI layer`)
}
}
} catch (err) {
console.error(`runInterfaceSimulationLoop failed to render UI layer ${err}`)
}
const interfaceSimulationEndedAt = performance.now()
const interfaceSimulationDurationInMs = interfaceSimulationEndedAt - get().interfaceSimulationStartedAt
set({
interfaceSimulationPending: false,
interfaceSimulationEndedAt,
interfaceSimulationDurationInMs,
})
},
// a slow rendering function (async - might call a third party LLM)
runEntitySimulationLoop: async () => {
const {
isLoaded,
isPlaying,
clap,
} = get()
if (!isLoaded || !isPlaying) {
set({ entitySimulationPending: false })
return
}
set({
entitySimulationPending: true,
entitySimulationStartedAt: performance.now(),
})
const entitySimulationEndedAt = performance.now()
const entitySimulationDurationInMs = entitySimulationEndedAt - get().entitySimulationStartedAt
set({
entitySimulationPending: false,
entitySimulationEndedAt,
entitySimulationDurationInMs,
})
},
// a fast sync rendering function; whose sole role is to filter the component
// list to put into the buffer the one that should be displayed
runRenderingLoop: () => {
const {
isLoaded,
isPlaying,
renderingIntervalId,
renderingIntervalDelayInMs,
renderingLastRenderAt,
positionInMs,
videoSimulationPending,
runVideoSimulationLoop,
interfaceSimulationPending,
runInterfaceSimulationLoop,
entitySimulationPending,
runEntitySimulationLoop,
} = get()
if (!isLoaded || !isPlaying) { return }
// TODO julian: don't do this here, this is inneficient
const videoElements = Array.from(
document.querySelectorAll('.video-buffer')
) as HTMLVideoElement[]
const newRenderingLastRenderAt = performance.now()
const elapsedInMs = newRenderingLastRenderAt - renderingLastRenderAt
// let's move inside the Clap file timeline
const newPositionInMs = positionInMs + elapsedInMs
clearInterval(renderingIntervalId)
set({
isPlaying: true,
renderingLastRenderAt: newRenderingLastRenderAt,
positionInMs: newPositionInMs,
videoElements: videoElements,
// TODO: use requestAnimationFrame somehow
// https://developers.google.com/mediapipe/solutions/vision/image_segmenter/web_js
renderingIntervalId: setTimeout(() => { get().runRenderingLoop() }, renderingIntervalDelayInMs)
})
// note that having this second set() also helps us to make sure previously values are properly stored
// in the state when the simulation loop runs
if (!videoSimulationPending) {
set({ videoSimulationPromise: runVideoSimulationLoop() }) // <-- note: this is a fire-and-forget operation!
}
if (!interfaceSimulationPending) {
set({ interfaceSimulationPromise: runInterfaceSimulationLoop() }) // <-- note: this is a fire-and-forget operation!
}
if (!entitySimulationPending) {
set({ entitySimulationPromise: runEntitySimulationLoop() }) // <-- note: this is a fire-and-forget operation!
}
},
jumpTo: (positionInMs: number) => {
set({ positionInMs })
},
jumpToStart: () => {
set({ positionInMs: 0 })
},
})) |