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import { useCallback, useEffect, useRef, useState } from 'react'
import type { Socket } from 'socket.io-client'
import { createSocket } from '@/lib/socket'
import {
isOpenCVReady,
loadOpenCV,
rectifyQuadrilateralToBase64,
} from '@/lib/vision/perspectiveTransform'
import type { QuadCorners } from '@/types/vision'
/** Frame mode: raw sends uncropped frames, cropped applies calibration */
export type FrameMode = 'raw' | 'cropped'
interface UseRemoteCameraPhoneOptions {
/** Target frame rate (default 10) */
targetFps?: number
/** JPEG quality (0-1, default 0.8) */
jpegQuality?: number
/** Target width for cropped image (default 300) */
targetWidth?: number
/** Target width for raw frames (default 640) */
rawWidth?: number
/** Callback when desktop requests torch change */
onTorchRequest?: (on: boolean) => void
/** Callback when desktop requests frame mode change (called BEFORE state updates) */
onDesktopSetMode?: (mode: FrameMode) => void
}
/**
* Fixed aspect ratio for cropped abacus images.
* Abacus is 4 units high by 3 units wide, giving a 4:3 height:width ratio.
*/
const ABACUS_ASPECT_RATIO = 4 / 3
interface UseRemoteCameraPhoneReturn {
/** Whether connected to the session */
isConnected: boolean
/** Whether currently sending frames */
isSending: boolean
/** Current frame mode (raw or cropped) */
frameMode: FrameMode
/** Current calibration from desktop (if any) */
desktopCalibration: QuadCorners | null
/** Column count from desktop calibration */
desktopColumnCount: number | null
/** Error message if any */
error: string | null
/** Connect to a session */
connect: (sessionId: string) => void
/** Disconnect from session */
disconnect: () => void
/** Start sending frames */
startSending: (video: HTMLVideoElement, calibration?: QuadCorners) => void
/** Stop sending frames */
stopSending: () => void
/** Update calibration while sending (from phone UI) */
updateCalibration: (calibration: QuadCorners) => void
/** Set frame mode locally */
setFrameMode: (mode: FrameMode) => void
/** Emit torch state to desktop */
emitTorchState: (isTorchOn: boolean, isTorchAvailable: boolean) => void
/** Set detected corners to include with raw frames (from phone's marker detection) */
setDetectedCorners: (corners: QuadCorners | null) => void
/** Capture and send a raw frame with specific corners atomically (for boundary training) */
captureAndSendRawFrame: (video: HTMLVideoElement, corners: QuadCorners) => void
/** Capture and send a cropped preview frame (for calibration preview during dual-stream mode) */
captureAndSendCroppedPreviewFrame: (video: HTMLVideoElement, corners: QuadCorners) => void
}
/**
* Hook for sending remote camera frames from phone
*
* Handles connecting to a session, capturing video frames,
* applying perspective crop, and sending to the desktop.
* Supports receiving calibration commands from the desktop.
*/
export function useRemoteCameraPhone(
options: UseRemoteCameraPhoneOptions = {}
): UseRemoteCameraPhoneReturn {
const {
targetFps = 10,
jpegQuality = 0.8,
targetWidth = 300,
rawWidth = 640,
onTorchRequest,
onDesktopSetMode,
} = options
// Keep callbacks in refs to avoid stale closures
const onTorchRequestRef = useRef(onTorchRequest)
useEffect(() => {
onTorchRequestRef.current = onTorchRequest
}, [onTorchRequest])
const onDesktopSetModeRef = useRef(onDesktopSetMode)
useEffect(() => {
onDesktopSetModeRef.current = onDesktopSetMode
}, [onDesktopSetMode])
// Calculate fixed output height based on aspect ratio (4 units tall by 3 units wide)
const targetHeight = Math.round(targetWidth * ABACUS_ASPECT_RATIO)
const [isSocketConnected, setIsSocketConnected] = useState(false)
const isSocketConnectedRef = useRef(false)
const [isConnected, setIsConnected] = useState(false)
const [isSending, setIsSending] = useState(false)
const [error, setError] = useState<string | null>(null)
const [opencvReady, setOpencvReady] = useState(false)
const [frameMode, setFrameModeState] = useState<FrameMode>('raw')
const [desktopCalibration, setDesktopCalibration] = useState<QuadCorners | null>(null)
const [desktopColumnCount, setDesktopColumnCount] = useState<number | null>(null)
// Use refs for values that need to be accessed in animation loop
// to avoid stale closure issues
const socketRef = useRef<Socket | null>(null)
const isConnectedRef = useRef(false)
const opencvReadyRef = useRef(false)
const sessionIdRef = useRef<string | null>(null)
const videoRef = useRef<HTMLVideoElement | null>(null)
const calibrationRef = useRef<QuadCorners | null>(null)
const animationFrameRef = useRef<number | null>(null)
const lastFrameTimeRef = useRef(0)
const frameModeRef = useRef<FrameMode>('raw')
// Detected corners from phone's marker detection - sent with raw frames
const detectedCornersRef = useRef<QuadCorners | null>(null)
// Keep refs in sync with state
useEffect(() => {
isConnectedRef.current = isConnected
}, [isConnected])
useEffect(() => {
isSocketConnectedRef.current = isSocketConnected
}, [isSocketConnected])
useEffect(() => {
opencvReadyRef.current = opencvReady
}, [opencvReady])
useEffect(() => {
frameModeRef.current = frameMode
}, [frameMode])
// Initialize socket connection with reconnection support
useEffect(() => {
console.log('[RemoteCameraPhone] Initializing socket connection...')
const socketInstance = createSocket({
autoConnect: true,
reconnection: true,
reconnectionDelay: 1000,
reconnectionDelayMax: 5000,
reconnectionAttempts: 10,
})
socketInstance.on('connect', () => {
console.log('[RemoteCameraPhone] Socket connected! ID:', socketInstance.id)
setIsSocketConnected(true)
// Auto-reconnect to session if we have one
const sessionId = sessionIdRef.current
if (sessionId) {
console.log(
'[RemoteCameraPhone] Auto-reconnecting to session after socket reconnect:',
sessionId
)
socketInstance.emit('remote-camera:join', { sessionId })
setIsConnected(true)
isConnectedRef.current = true
}
})
socketInstance.on('connect_error', (error) => {
console.error('[RemoteCameraPhone] Socket connect error:', error)
})
socketInstance.on('disconnect', (reason) => {
console.log('[RemoteCameraPhone] Socket disconnected:', reason)
setIsSocketConnected(false)
// Don't clear isConnected or sessionIdRef - we want to auto-reconnect
// Only clear if server explicitly disconnected us
if (reason === 'io server disconnect') {
setIsConnected(false)
isConnectedRef.current = false
}
})
socketRef.current = socketInstance
return () => {
socketInstance.disconnect()
}
}, [])
// Load OpenCV on mount
useEffect(() => {
loadOpenCV()
.then(() => {
setOpencvReady(true)
})
.catch((err) => {
console.error('[RemoteCameraPhone] Failed to load OpenCV:', err)
setError('Failed to load image processing library')
})
}, [])
// Set up Socket.IO event listeners
useEffect(() => {
const socket = socketRef.current
if (!socket) return
const handleError = ({ error: errorMsg }: { error: string }) => {
setError(errorMsg)
setIsConnected(false)
isConnectedRef.current = false
}
// Handle mode change from desktop
const handleSetMode = ({ mode }: { mode: FrameMode }) => {
console.log('[RemoteCameraPhone] Desktop set mode to:', mode)
// Call callback BEFORE state updates so caller can update refs immediately
onDesktopSetModeRef.current?.(mode)
setFrameModeState(mode)
frameModeRef.current = mode
}
// Handle calibration from desktop
const handleSetCalibration = ({
corners,
columnCount,
preview,
}: {
corners: QuadCorners
columnCount?: number
preview?: boolean
}) => {
console.log(
'[RemoteCameraPhone] Received calibration from desktop, columns:',
columnCount,
'preview:',
preview
)
// Desktop sends corners in the scaled JPEG coordinate space (rawWidth).
// We need to scale them up to native video resolution for display.
const video = videoRef.current
let scaledCorners = corners
if (video && video.videoWidth > 0) {
const scaleUp = video.videoWidth / rawWidth
console.log(
'[RemoteCameraPhone] Scaling corners from JPEG to native:',
rawWidth,
'->',
video.videoWidth,
'scale:',
scaleUp
)
scaledCorners = {
topLeft: { x: corners.topLeft.x * scaleUp, y: corners.topLeft.y * scaleUp },
topRight: { x: corners.topRight.x * scaleUp, y: corners.topRight.y * scaleUp },
bottomLeft: { x: corners.bottomLeft.x * scaleUp, y: corners.bottomLeft.y * scaleUp },
bottomRight: { x: corners.bottomRight.x * scaleUp, y: corners.bottomRight.y * scaleUp },
}
}
setDesktopCalibration(scaledCorners)
calibrationRef.current = scaledCorners
if (columnCount !== undefined) {
setDesktopColumnCount(columnCount)
}
// Auto-switch to cropped mode when calibration is finalized (not preview)
// During preview, stay in raw mode so desktop can see the full frame
if (!preview) {
setFrameModeState('cropped')
frameModeRef.current = 'cropped'
}
}
// Handle clear calibration from desktop (go back to auto-detection)
const handleClearCalibration = () => {
console.log('[RemoteCameraPhone] Desktop cleared calibration - returning to auto-detection')
setDesktopCalibration(null)
setDesktopColumnCount(null)
calibrationRef.current = null
}
// Handle torch command from desktop
const handleSetTorch = ({ on }: { on: boolean }) => {
console.log('[RemoteCameraPhone] Desktop requested torch:', on)
onTorchRequestRef.current?.(on)
}
socket.on('remote-camera:error', handleError)
socket.on('remote-camera:set-mode', handleSetMode)
socket.on('remote-camera:set-calibration', handleSetCalibration)
socket.on('remote-camera:clear-calibration', handleClearCalibration)
socket.on('remote-camera:set-torch', handleSetTorch)
return () => {
socket.off('remote-camera:error', handleError)
socket.off('remote-camera:set-mode', handleSetMode)
socket.off('remote-camera:set-calibration', handleSetCalibration)
socket.off('remote-camera:clear-calibration', handleClearCalibration)
socket.off('remote-camera:set-torch', handleSetTorch)
}
}, [isSocketConnected]) // Re-run when socket connects
/**
* Apply perspective transform and extract the quadrilateral region
* Uses OpenCV for proper perspective correction
*
* Output is fixed at 4:3 height:width aspect ratio (abacus is 4 units tall by 3 units wide)
*/
const cropToQuad = useCallback(
(video: HTMLVideoElement, quad: QuadCorners): string | null => {
if (!isOpenCVReady()) {
console.warn('[RemoteCameraPhone] OpenCV not ready for perspective transform')
return null
}
return rectifyQuadrilateralToBase64(video, quad, {
outputWidth: targetWidth,
outputHeight: targetHeight, // Fixed 4:3 aspect ratio
jpegQuality,
rotate180: false, // Phone camera: no rotation needed, direct mapping
})
},
[targetWidth, targetHeight, jpegQuality]
)
/**
* Capture raw (uncropped) frame as base64 JPEG
*/
const captureRawFrame = useCallback(
(video: HTMLVideoElement): string | null => {
try {
const canvas = document.createElement('canvas')
// Scale down to target width while maintaining aspect ratio
const scale = rawWidth / video.videoWidth
canvas.width = rawWidth
canvas.height = Math.round(video.videoHeight * scale)
const ctx = canvas.getContext('2d')
if (!ctx) return null
ctx.drawImage(video, 0, 0, canvas.width, canvas.height)
const dataUrl = canvas.toDataURL('image/jpeg', jpegQuality)
// Remove the data:image/jpeg;base64, prefix
return dataUrl.split(',')[1]
} catch (err) {
console.error('[RemoteCameraPhone] Failed to capture raw frame:', err)
return null
}
},
[rawWidth, jpegQuality]
)
/**
* Frame capture loop - uses refs to avoid stale closure issues
*/
const captureFrame = useCallback(() => {
const video = videoRef.current
const calibration = calibrationRef.current
const sessionId = sessionIdRef.current
const socket = socketRef.current
const isConnected = isConnectedRef.current
const cvReady = opencvReadyRef.current
const mode = frameModeRef.current
// For raw mode, we don't need calibration or OpenCV
if (!video || !sessionId || !socket || !isConnected) {
animationFrameRef.current = requestAnimationFrame(captureFrame)
return
}
// For cropped mode, we need calibration and OpenCV
if (mode === 'cropped' && (!calibration || !cvReady)) {
animationFrameRef.current = requestAnimationFrame(captureFrame)
return
}
const now = performance.now()
const frameInterval = 1000 / targetFps
if (now - lastFrameTimeRef.current < frameInterval) {
animationFrameRef.current = requestAnimationFrame(captureFrame)
return
}
lastFrameTimeRef.current = now
// Capture frame based on mode
let imageData: string | null = null
if (mode === 'raw') {
imageData = captureRawFrame(video)
} else if (calibration) {
imageData = cropToQuad(video, calibration)
}
if (imageData) {
// Scale corners to match the JPEG's coordinate space
// The raw frame is scaled down from video dimensions to rawWidth
// Corners are detected in video coordinates, so we need to scale them too
let scaledCorners: typeof detectedCornersRef.current = null
if (mode === 'raw' && detectedCornersRef.current) {
const scale = rawWidth / video.videoWidth
const corners = detectedCornersRef.current
scaledCorners = {
topLeft: {
x: corners.topLeft.x * scale,
y: corners.topLeft.y * scale,
},
topRight: {
x: corners.topRight.x * scale,
y: corners.topRight.y * scale,
},
bottomLeft: {
x: corners.bottomLeft.x * scale,
y: corners.bottomLeft.y * scale,
},
bottomRight: {
x: corners.bottomRight.x * scale,
y: corners.bottomRight.y * scale,
},
}
}
const frameData = {
sessionId,
imageData,
timestamp: Date.now(),
mode, // Include mode so desktop knows what it's receiving
// Send the JPEG dimensions, not the original video dimensions
// This matches the coordinate space of the scaled corners
videoDimensions:
mode === 'raw'
? {
width: rawWidth,
height: Math.round(video.videoHeight * (rawWidth / video.videoWidth)),
}
: undefined,
// Include scaled corners with raw frames so desktop doesn't need to re-detect
detectedCorners: mode === 'raw' ? scaledCorners : undefined,
}
// Log what we're sending (only log corners info, not full image data)
if (mode === 'raw') {
console.log('[PHONE-HOOK] Emitting frame:', {
mode: frameData.mode,
hasCorners: !!frameData.detectedCorners,
corners: frameData.detectedCorners ? JSON.stringify(frameData.detectedCorners) : null,
videoDimensions: frameData.videoDimensions,
})
}
socket.emit('remote-camera:frame', frameData)
}
animationFrameRef.current = requestAnimationFrame(captureFrame)
}, [targetFps, cropToQuad, captureRawFrame, rawWidth])
const connect = useCallback((sessionId: string) => {
const socket = socketRef.current
console.log(
'[RemoteCameraPhone] Connecting to session:',
sessionId,
'socket:',
!!socket,
'connected:',
isSocketConnectedRef.current
)
// Save session ID FIRST, so auto-connect handler can use it
// even if socket isn't connected yet
sessionIdRef.current = sessionId
setError(null)
// Use ref instead of state to avoid callback recreation on socket state changes.
// This prevents reconnection loops when connection is flaky.
// Auto-reconnect is handled by the socket's 'connect' event handler.
if (!socket || !isSocketConnectedRef.current) {
console.log('[RemoteCameraPhone] Socket not connected yet, will join on connect')
return
}
console.log('[RemoteCameraPhone] Emitting remote-camera:join')
socket.emit('remote-camera:join', { sessionId })
setIsConnected(true)
isConnectedRef.current = true
}, [])
const disconnect = useCallback(() => {
const socket = socketRef.current
if (!socket || !sessionIdRef.current) return
// Stop sending first
if (animationFrameRef.current) {
cancelAnimationFrame(animationFrameRef.current)
animationFrameRef.current = null
}
setIsSending(false)
socket.emit('remote-camera:leave', { sessionId: sessionIdRef.current })
sessionIdRef.current = null
setIsConnected(false)
isConnectedRef.current = false
videoRef.current = null
calibrationRef.current = null
}, [])
const startSending = useCallback(
(video: HTMLVideoElement, calibration?: QuadCorners) => {
if (!isConnected) {
setError('Not connected to session')
return
}
videoRef.current = video
if (calibration) {
calibrationRef.current = calibration
}
setIsSending(true)
// Start capture loop
animationFrameRef.current = requestAnimationFrame(captureFrame)
},
[isConnected, captureFrame]
)
const setFrameMode = useCallback((mode: FrameMode) => {
setFrameModeState(mode)
frameModeRef.current = mode
}, [])
const stopSending = useCallback(() => {
if (animationFrameRef.current) {
cancelAnimationFrame(animationFrameRef.current)
animationFrameRef.current = null
}
setIsSending(false)
}, [])
const updateCalibration = useCallback((calibration: QuadCorners) => {
calibrationRef.current = calibration
}, [])
/**
* Set detected corners from phone's marker detection
* These will be sent with raw frames so desktop doesn't need to re-detect
*/
const setDetectedCorners = useCallback((corners: QuadCorners | null) => {
console.log('[PHONE-HOOK] setDetectedCorners called:', corners ? 'has corners' : 'null')
detectedCornersRef.current = corners
}, [])
/**
* Emit torch state to desktop
*/
const emitTorchState = useCallback((isTorchOn: boolean, isTorchAvailable: boolean) => {
const socket = socketRef.current
const sessionId = sessionIdRef.current
if (!socket || !sessionId) return
socket.emit('remote-camera:torch-state', {
sessionId,
isTorchOn,
isTorchAvailable,
})
}, [])
/**
* Capture and send a raw frame with specific corners atomically.
* This ensures the corners and frame are from the exact same video frame.
* Used for boundary training where frame/corner sync is critical.
*/
const captureAndSendRawFrame = useCallback(
(video: HTMLVideoElement, corners: QuadCorners) => {
const socket = socketRef.current
const sessionId = sessionIdRef.current
// Note: caller is responsible for checking isSending before calling
if (!socket || !sessionId) return
// Capture the frame right now
try {
const canvas = document.createElement('canvas')
const scale = rawWidth / video.videoWidth
canvas.width = rawWidth
canvas.height = Math.round(video.videoHeight * scale)
const ctx = canvas.getContext('2d')
if (!ctx) return
ctx.drawImage(video, 0, 0, canvas.width, canvas.height)
const dataUrl = canvas.toDataURL('image/jpeg', jpegQuality)
const imageData = dataUrl.split(',')[1]
// Scale corners to match the JPEG's coordinate space
const scaledCorners: QuadCorners = {
topLeft: {
x: corners.topLeft.x * scale,
y: corners.topLeft.y * scale,
},
topRight: {
x: corners.topRight.x * scale,
y: corners.topRight.y * scale,
},
bottomLeft: {
x: corners.bottomLeft.x * scale,
y: corners.bottomLeft.y * scale,
},
bottomRight: {
x: corners.bottomRight.x * scale,
y: corners.bottomRight.y * scale,
},
}
const frameData = {
sessionId,
imageData,
timestamp: Date.now(),
mode: 'raw' as const,
videoDimensions: {
width: canvas.width,
height: canvas.height,
},
detectedCorners: scaledCorners,
}
console.log('[PHONE-HOOK] captureAndSendRawFrame: sending atomic frame+corners')
socket.emit('remote-camera:frame', frameData)
} catch (error) {
console.error('[PHONE-HOOK] captureAndSendRawFrame error:', error)
}
},
[rawWidth, jpegQuality]
)
/**
* Capture and send a cropped (rectified) preview frame.
* Used during calibration to show what the cropped result will look like
* while still in raw mode for the main calibration view.
*/
const captureAndSendCroppedPreviewFrame = useCallback(
(video: HTMLVideoElement, corners: QuadCorners) => {
const socket = socketRef.current
const sessionId = sessionIdRef.current
const cvReady = opencvReadyRef.current
if (!socket || !sessionId) return
if (!cvReady) {
console.warn('[PHONE-HOOK] captureAndSendCroppedPreviewFrame: OpenCV not ready')
return
}
try {
// Use the same cropToQuad logic as regular cropped frames
const imageData = cropToQuad(video, corners)
if (!imageData) {
console.warn('[PHONE-HOOK] captureAndSendCroppedPreviewFrame: cropToQuad returned null')
return
}
const frameData = {
sessionId,
imageData,
timestamp: Date.now(),
mode: 'cropped' as const,
}
console.log('[PHONE-HOOK] captureAndSendCroppedPreviewFrame: sending cropped preview')
socket.emit('remote-camera:frame', frameData)
} catch (error) {
console.error('[PHONE-HOOK] captureAndSendCroppedPreviewFrame error:', error)
}
},
[cropToQuad]
)
// Cleanup on unmount
useEffect(() => {
return () => {
if (animationFrameRef.current) {
cancelAnimationFrame(animationFrameRef.current)
}
const socket = socketRef.current
if (socket && sessionIdRef.current) {
socket.emit('remote-camera:leave', { sessionId: sessionIdRef.current })
}
}
}, [])
return {
isConnected,
isSending,
frameMode,
desktopCalibration,
desktopColumnCount,
error,
connect,
disconnect,
startSending,
stopSending,
updateCalibration,
setFrameMode,
emitTorchState,
setDetectedCorners,
captureAndSendRawFrame,
captureAndSendCroppedPreviewFrame,
}
}
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