feat: Overlay-Modus fuer ganzseitige Tabellenrekonstruktion mit Pixel-Positionierung
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- usePixelWordPositions Hook extrahiert (shared zwischen StepLlmReview und StepReconstruction) - StepReconstruction: neuer Overlay-Modus mit 50/50 Layout (Original + Rekonstruktion) - Sub-Session-Zellen werden in Parent-Koordinaten konvertiert und zusammengefuehrt - Spalten-/Zeilenlinien und Box-Zone-Markierung aus column_result/row_result - Schriftgroesse-Slider und Bold-Toggle fuer Overlay - StepLlmReview: ~140 Zeilen Pixel-Analyse durch Hook ersetzt Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
@@ -2,6 +2,7 @@
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import { useCallback, useEffect, useMemo, useRef, useState } from 'react'
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import type { GridCell, GridResult, WordEntry, ColumnMeta } from '@/app/(admin)/ai/ocr-pipeline/types'
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import { usePixelWordPositions } from './usePixelWordPositions'
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const KLAUSUR_API = '/klausur-api'
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@@ -92,8 +93,11 @@ export function StepLlmReview({ sessionId, onNext }: StepLlmReviewProps) {
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const reconRef = useRef<HTMLDivElement>(null)
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const [reconWidth, setReconWidth] = useState(0)
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// Pixel-analysed word positions: cell_id → [{xPct, wPct, text, fontRatio}]
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const [cellWordPositions, setCellWordPositions] = useState<Map<string, { xPct: number; wPct: number; text: string; fontRatio: number }[]>>(new Map())
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// Pixel-analysed word positions via shared hook
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const overlayImageUrl = sessionId
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? `${KLAUSUR_API}/api/v1/ocr-pipeline/sessions/${sessionId}/image/cropped`
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: ''
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const cellWordPositions = usePixelWordPositions(overlayImageUrl, cells, viewMode === 'overlay')
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const tableRef = useRef<HTMLDivElement>(null)
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const activeRowRef = useRef<HTMLTableRowElement>(null)
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@@ -109,146 +113,6 @@ export function StepLlmReview({ sessionId, onNext }: StepLlmReviewProps) {
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return () => obs.disconnect()
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}, [viewMode])
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// Pixel-based word positioning: analyse dark-pixel clusters on the image
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useEffect(() => {
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if (viewMode !== 'overlay' || cells.length === 0 || !sessionId) return
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const imgUrl = `${KLAUSUR_API}/api/v1/ocr-pipeline/sessions/${sessionId}/image/cropped`
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const img = new Image()
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img.crossOrigin = 'anonymous'
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img.onload = () => {
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const canvas = document.createElement('canvas')
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canvas.width = img.naturalWidth
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canvas.height = img.naturalHeight
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const ctx = canvas.getContext('2d')
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if (!ctx) return
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ctx.drawImage(img, 0, 0)
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const refFontSize = 40
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const fontFam = "'Liberation Sans', Arial, sans-serif"
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ctx.font = `${refFontSize}px ${fontFam}`
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const positions = new Map<string, { xPct: number; wPct: number; text: string; fontRatio: number }[]>()
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for (const cell of cells) {
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if (!cell.bbox_pct || !cell.text) continue
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// Split by 3+ whitespace into word-groups
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const groups = cell.text.split(/\s{3,}/).map(s => s.trim()).filter(Boolean)
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// Pixel region for this cell
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const imgW = img.naturalWidth
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const imgH = img.naturalHeight
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const cx = Math.round(cell.bbox_pct.x / 100 * imgW)
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const cy = Math.round(cell.bbox_pct.y / 100 * imgH)
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const cw = Math.round(cell.bbox_pct.w / 100 * imgW)
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const ch = Math.round(cell.bbox_pct.h / 100 * imgH)
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if (cw <= 0 || ch <= 0) continue
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const imageData = ctx.getImageData(cx, cy, cw, ch)
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// Vertical projection: count dark pixels per column
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const proj = new Float32Array(cw)
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for (let y = 0; y < ch; y++) {
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for (let x = 0; x < cw; x++) {
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const idx = (y * cw + x) * 4
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const lum = 0.299 * imageData.data[idx] + 0.587 * imageData.data[idx + 1] + 0.114 * imageData.data[idx + 2]
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if (lum < 128) proj[x]++
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}
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}
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// Find dark-pixel clusters (word groups on the image)
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const threshold = Math.max(1, ch * 0.03)
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const minGap = Math.max(5, Math.round(cw * 0.02))
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const clusters: { start: number; end: number }[] = []
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let inCluster = false
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let clStart = 0
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let gap = 0
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for (let x = 0; x < cw; x++) {
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if (proj[x] >= threshold) {
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if (!inCluster) { clStart = x; inCluster = true }
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gap = 0
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} else if (inCluster) {
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gap++
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if (gap > minGap) {
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clusters.push({ start: clStart, end: x - gap })
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inCluster = false
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gap = 0
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}
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}
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}
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if (inCluster) clusters.push({ start: clStart, end: cw - 1 - gap })
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if (clusters.length === 0) continue
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const wordPos: { xPct: number; wPct: number; text: string; fontRatio: number }[] = []
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if (groups.length <= 1) {
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// Single group: position at first cluster, merge all clusters for width
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const firstCl = clusters[0]
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const lastCl = clusters[clusters.length - 1]
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const clusterW = lastCl.end - firstCl.start + 1
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// Auto font-size: fit text width to cluster width
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const measured = ctx.measureText(cell.text.trim())
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const autoFontPx = refFontSize * (clusterW / measured.width)
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const fontRatio = Math.min(autoFontPx / ch, 1.0) // ratio of cell height
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wordPos.push({
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xPct: cell.bbox_pct.x + (firstCl.start / cw) * cell.bbox_pct.w,
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wPct: ((lastCl.end - firstCl.start + 1) / cw) * cell.bbox_pct.w,
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text: cell.text.trim(),
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fontRatio,
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})
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} else if (clusters.length >= groups.length) {
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// Multiple groups: match to clusters left-to-right
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for (let i = 0; i < groups.length; i++) {
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const cl = clusters[i]
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const clusterW = cl.end - cl.start + 1
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const measured = ctx.measureText(groups[i])
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const autoFontPx = refFontSize * (clusterW / measured.width)
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const fontRatio = Math.min(autoFontPx / ch, 1.0)
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wordPos.push({
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xPct: cell.bbox_pct.x + (cl.start / cw) * cell.bbox_pct.w,
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wPct: ((cl.end - cl.start + 1) / cw) * cell.bbox_pct.w,
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text: groups[i],
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fontRatio,
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})
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}
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} else {
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continue // fewer clusters than groups — skip
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}
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positions.set(cell.cell_id, wordPos)
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}
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// Normalise: find the most common fontRatio (mode) and apply it to all
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const allRatios: number[] = []
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for (const wps of positions.values()) {
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for (const wp of wps) allRatios.push(wp.fontRatio)
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}
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if (allRatios.length > 0) {
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// Bucket ratios to 2 decimal places, find mode
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const buckets = new Map<number, number>()
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for (const r of allRatios) {
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const key = Math.round(r * 50) / 50 // round to nearest 0.02
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buckets.set(key, (buckets.get(key) || 0) + 1)
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}
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let modeRatio = allRatios[0]
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let modeCount = 0
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for (const [ratio, count] of buckets) {
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if (count > modeCount) { modeRatio = ratio; modeCount = count }
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}
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// Apply mode to all word positions
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for (const wps of positions.values()) {
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for (const wp of wps) wp.fontRatio = modeRatio
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}
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}
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setCellWordPositions(positions)
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}
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img.src = imgUrl
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}, [viewMode, cells, sessionId])
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// Load session data on mount
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useEffect(() => {
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if (!sessionId) return
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@@ -2,7 +2,8 @@
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import { useCallback, useEffect, useMemo, useRef, useState } from 'react'
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import dynamic from 'next/dynamic'
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import type { GridResult, GridCell, WordEntry } from '@/app/(admin)/ai/ocr-pipeline/types'
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import type { GridResult, GridCell, ColumnResult, RowResult, PageZone, PageRegion, RowItem } from '@/app/(admin)/ai/ocr-pipeline/types'
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import { usePixelWordPositions } from './usePixelWordPositions'
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const KLAUSUR_API = '/klausur-api'
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@@ -12,7 +13,7 @@ const FabricReconstructionCanvas = dynamic(
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{ ssr: false, loading: () => <div className="py-8 text-center text-sm text-gray-400">Editor wird geladen...</div> }
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)
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type EditorMode = 'simple' | 'editor'
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type EditorMode = 'simple' | 'editor' | 'overlay'
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interface StepReconstructionProps {
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sessionId: string | null
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@@ -46,11 +47,42 @@ export function StepReconstruction({ sessionId, onNext }: StepReconstructionProp
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const [undoStack, setUndoStack] = useState<UndoAction[]>([])
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const [redoStack, setRedoStack] = useState<UndoAction[]>([])
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// (allCells removed — cells now contains all cells including empty ones)
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const containerRef = useRef<HTMLDivElement>(null)
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const imageRef = useRef<HTMLImageElement>(null)
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// Overlay mode state
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const [isParentWithBoxes, setIsParentWithBoxes] = useState(false)
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const [mergedGridCells, setMergedGridCells] = useState<GridCell[]>([])
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const [parentColumns, setParentColumns] = useState<PageRegion[]>([])
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const [parentRows, setParentRows] = useState<RowItem[]>([])
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const [parentZones, setParentZones] = useState<PageZone[]>([])
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const [imageNaturalSize, setImageNaturalSize] = useState<{ w: number; h: number } | null>(null)
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const [fontScale, setFontScale] = useState(0.7)
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const [globalBold, setGlobalBold] = useState(false)
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const reconRef = useRef<HTMLDivElement>(null)
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const [reconWidth, setReconWidth] = useState(0)
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// Pixel-based word positions for overlay mode
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const overlayImageUrl = sessionId
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? `${KLAUSUR_API}/api/v1/ocr-pipeline/sessions/${sessionId}/image/cropped`
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: ''
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const cellWordPositions = usePixelWordPositions(
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overlayImageUrl,
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mergedGridCells,
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editorMode === 'overlay',
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)
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// Track reconstruction container width for font size calculation
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useEffect(() => {
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const el = reconRef.current
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if (!el) return
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const obs = new ResizeObserver(entries => {
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for (const entry of entries) setReconWidth(entry.contentRect.width)
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})
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obs.observe(el)
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return () => obs.disconnect()
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}, [editorMode])
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// Load session data on mount
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useEffect(() => {
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if (!sessionId) return
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@@ -97,6 +129,100 @@ export function StepReconstruction({ sessionId, onNext }: StepReconstructionProp
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setEditedTexts(new Map())
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setUndoStack([])
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setRedoStack([])
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// Check for parent with boxes (sub-sessions + zones)
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const columnResult: ColumnResult | undefined = data.column_result
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const rowResult: RowResult | undefined = data.row_result
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const subSessions: { id: string; box_index: number }[] = data.sub_sessions || []
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const zones: PageZone[] = columnResult?.zones || []
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const hasBoxes = subSessions.length > 0 && zones.some(z => z.zone_type === 'box')
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setIsParentWithBoxes(hasBoxes)
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if (columnResult?.columns) setParentColumns(columnResult.columns)
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if (rowResult?.rows) setParentRows(rowResult.rows)
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if (zones.length > 0) setParentZones(zones)
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// Store image dimensions
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if (wordResult.image_width && wordResult.image_height) {
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setImageNaturalSize({ w: wordResult.image_width, h: wordResult.image_height })
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}
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if (hasBoxes) {
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// Default to overlay mode for parent sessions with boxes
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setEditorMode('overlay')
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// Load sub-sessions and merge cells
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const imgW = wordResult.image_width || 1
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const imgH = wordResult.image_height || 1
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const allMergedCells: GridCell[] = [...rawGridCells]
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for (const sub of subSessions) {
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try {
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const subRes = await fetch(`${KLAUSUR_API}/api/v1/ocr-pipeline/sessions/${sub.id}`)
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if (!subRes.ok) continue
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const subData = await subRes.json()
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const subWordResult: GridResult | undefined = subData.word_result
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if (!subWordResult?.cells) continue
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// Find the box zone for this sub-session
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const boxZone = zones.find(z => z.zone_type === 'box')
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if (!boxZone?.box) continue
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const box = boxZone.box
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// Box coordinates are in pixels, convert to pct
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const boxXPct = (box.x / imgW) * 100
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const boxYPct = (box.y / imgH) * 100
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const boxWPct = (box.width / imgW) * 100
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const boxHPct = (box.height / imgH) * 100
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// Convert sub-session cell coordinates to parent coordinates
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for (const subCell of subWordResult.cells) {
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if (!subCell.bbox_pct) continue
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const parentCellX = boxXPct + (subCell.bbox_pct.x / 100) * boxWPct
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const parentCellY = boxYPct + (subCell.bbox_pct.y / 100) * boxHPct
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const parentCellW = (subCell.bbox_pct.w / 100) * boxWPct
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const parentCellH = (subCell.bbox_pct.h / 100) * boxHPct
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allMergedCells.push({
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...subCell,
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cell_id: `sub_${sub.id}_${subCell.cell_id}`,
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bbox_pct: {
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x: parentCellX,
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y: parentCellY,
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w: parentCellW,
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h: parentCellH,
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},
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bbox_px: {
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x: Math.round(parentCellX / 100 * imgW),
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y: Math.round(parentCellY / 100 * imgH),
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w: Math.round(parentCellW / 100 * imgW),
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h: Math.round(parentCellH / 100 * imgH),
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},
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})
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}
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} catch {
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// Skip failing sub-sessions
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}
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}
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setMergedGridCells(allMergedCells)
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// Also add merged cells as editable cells
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const mergedEditableCells: EditableCell[] = allMergedCells.map(c => ({
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cellId: c.cell_id,
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text: c.text,
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originalText: c.text,
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bboxPct: c.bbox_pct,
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colType: c.col_type,
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rowIndex: c.row_index,
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colIndex: c.col_index,
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}))
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setCells(mergedEditableCells)
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} else {
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setMergedGridCells(rawGridCells)
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}
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setStatus('ready')
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} catch (e: unknown) {
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setError(e instanceof Error ? e.message : String(e))
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@@ -347,6 +473,215 @@ export function StepReconstruction({ sessionId, onNext }: StepReconstructionProp
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)
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}
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// Overlay rendering helper
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const renderOverlayMode = () => {
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const imgW = imageNaturalSize?.w || 1
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const imgH = imageNaturalSize?.h || 1
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const aspect = imgH / imgW
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const containerH = reconWidth * aspect
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return (
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<div className="grid grid-cols-2 gap-4">
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{/* Left: Original image */}
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<div>
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<div className="text-xs font-medium text-gray-500 dark:text-gray-400 mb-1">
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Originalbild
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</div>
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<div className="border rounded-lg overflow-hidden dark:border-gray-700 bg-gray-50 dark:bg-gray-900 sticky top-4">
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{/* eslint-disable-next-line @next/next/no-img-element */}
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<img
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src={dewarpedUrl}
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alt="Original"
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className="w-full h-auto"
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onLoad={(e) => {
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const img = e.target as HTMLImageElement
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setImageNaturalSize({ w: img.naturalWidth, h: img.naturalHeight })
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}}
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/>
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</div>
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</div>
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{/* Right: Reconstructed table overlay */}
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<div>
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<div className="text-xs font-medium text-gray-500 dark:text-gray-400 mb-1">
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Rekonstruktion ({cells.length} Zellen)
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</div>
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<div className="border border-gray-200 dark:border-gray-700 rounded-lg overflow-hidden bg-white">
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<div
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ref={reconRef}
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className="relative"
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style={{
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aspectRatio: `${imgW} / ${imgH}`,
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}}
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>
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{/* Column lines */}
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{parentColumns
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.filter(c => !['header', 'footer'].includes(c.type))
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.map((col, i) => (
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<div
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key={`col-${i}`}
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className="absolute top-0 bottom-0 border-l border-gray-300/50"
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style={{ left: `${(col.x / imgW) * 100}%` }}
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/>
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))}
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{/* Row lines */}
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{parentRows.map((row, i) => (
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<div
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key={`row-${i}`}
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className="absolute left-0 right-0 border-t border-gray-300/50"
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style={{ top: `${(row.y / imgH) * 100}%` }}
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/>
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))}
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{/* Box zone highlight */}
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{parentZones
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.filter(z => z.zone_type === 'box' && z.box)
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.map((z, i) => {
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const box = z.box!
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return (
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<div
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key={`box-${i}`}
|
||||
className="absolute border-2 border-blue-400/30 bg-blue-50/10 pointer-events-none"
|
||||
style={{
|
||||
left: `${(box.x / imgW) * 100}%`,
|
||||
top: `${(box.y / imgH) * 100}%`,
|
||||
width: `${(box.width / imgW) * 100}%`,
|
||||
height: `${(box.height / imgH) * 100}%`,
|
||||
}}
|
||||
/>
|
||||
)
|
||||
})}
|
||||
|
||||
{/* Pixel-positioned words / editable inputs */}
|
||||
{cells.map((cell) => {
|
||||
const displayText = getDisplayText(cell)
|
||||
const edited = isEdited(cell)
|
||||
const wordPos = cellWordPositions.get(cell.cellId)
|
||||
const cellHeightPx = containerH * (cell.bboxPct.h / 100)
|
||||
|
||||
// Pixel-analysed: render word-groups at detected positions as inputs
|
||||
if (wordPos && wordPos.length > 0) {
|
||||
return wordPos.map((wp, i) => {
|
||||
const autoFontPx = cellHeightPx * wp.fontRatio * fontScale
|
||||
const fs = Math.max(6, autoFontPx)
|
||||
|
||||
// For multi-group cells, only the first group is the primary input
|
||||
// Show as span (read-only positioned) — editing happens at cell level
|
||||
if (wordPos.length > 1) {
|
||||
return (
|
||||
<span
|
||||
key={`${cell.cellId}_wp_${i}`}
|
||||
className="absolute leading-none pointer-events-none select-none"
|
||||
style={{
|
||||
left: `${wp.xPct}%`,
|
||||
top: `${cell.bboxPct.y}%`,
|
||||
width: `${wp.wPct}%`,
|
||||
height: `${cell.bboxPct.h}%`,
|
||||
fontSize: `${fs}px`,
|
||||
fontWeight: globalBold ? 'bold' : (cell.colType === 'column_en' ? 'bold' : 'normal'),
|
||||
fontFamily: "'Liberation Sans', Arial, sans-serif",
|
||||
display: 'flex',
|
||||
alignItems: 'center',
|
||||
whiteSpace: 'nowrap',
|
||||
overflow: 'visible',
|
||||
color: '#1a1a1a',
|
||||
}}
|
||||
>
|
||||
{wp.text}
|
||||
</span>
|
||||
)
|
||||
}
|
||||
|
||||
// Single group: render as editable input at pixel position
|
||||
return (
|
||||
<div key={`${cell.cellId}_wp_${i}`} className="absolute group" style={{
|
||||
left: `${wp.xPct}%`,
|
||||
top: `${cell.bboxPct.y}%`,
|
||||
width: `${wp.wPct}%`,
|
||||
height: `${cell.bboxPct.h}%`,
|
||||
}}>
|
||||
<input
|
||||
id={`cell-${cell.cellId}`}
|
||||
type="text"
|
||||
value={displayText}
|
||||
onChange={(e) => handleTextChange(cell.cellId, e.target.value)}
|
||||
onKeyDown={(e) => handleKeyDown(e, cell.cellId)}
|
||||
className={`w-full h-full bg-transparent border-0 outline-none px-0 transition-colors ${
|
||||
edited ? 'bg-green-50/30' : ''
|
||||
}`}
|
||||
style={{
|
||||
fontSize: `${fs}px`,
|
||||
fontWeight: globalBold ? 'bold' : (cell.colType === 'column_en' ? 'bold' : 'normal'),
|
||||
fontFamily: "'Liberation Sans', Arial, sans-serif",
|
||||
lineHeight: '1',
|
||||
color: '#1a1a1a',
|
||||
}}
|
||||
title={`${cell.cellId} (${cell.colType})`}
|
||||
/>
|
||||
{edited && (
|
||||
<button
|
||||
onClick={() => resetCell(cell.cellId)}
|
||||
className="absolute -top-1 -right-1 w-4 h-4 bg-red-500 text-white rounded-full text-[9px] leading-none opacity-0 group-hover:opacity-100 transition-opacity flex items-center justify-center"
|
||||
title="Zuruecksetzen"
|
||||
>
|
||||
×
|
||||
</button>
|
||||
)}
|
||||
</div>
|
||||
)
|
||||
})
|
||||
}
|
||||
|
||||
// Multi-group cell with pixel positions: already handled above
|
||||
// Fallback: no pixel data — single input at cell bbox
|
||||
if (!cell.text) return null
|
||||
|
||||
const fontSize = Math.max(6, cellHeightPx * fontScale)
|
||||
return (
|
||||
<div key={cell.cellId} className="absolute group" style={{
|
||||
left: `${cell.bboxPct.x}%`,
|
||||
top: `${cell.bboxPct.y}%`,
|
||||
width: `${cell.bboxPct.w}%`,
|
||||
height: `${cell.bboxPct.h}%`,
|
||||
}}>
|
||||
<input
|
||||
id={`cell-${cell.cellId}`}
|
||||
type="text"
|
||||
value={displayText}
|
||||
onChange={(e) => handleTextChange(cell.cellId, e.target.value)}
|
||||
onKeyDown={(e) => handleKeyDown(e, cell.cellId)}
|
||||
className={`w-full h-full bg-transparent border-0 outline-none px-0 transition-colors ${
|
||||
edited ? 'bg-green-50/30' : ''
|
||||
}`}
|
||||
style={{
|
||||
fontSize: `${fontSize}px`,
|
||||
fontWeight: globalBold ? 'bold' : 'normal',
|
||||
fontFamily: "'Liberation Sans', Arial, sans-serif",
|
||||
lineHeight: '1',
|
||||
color: '#1a1a1a',
|
||||
}}
|
||||
title={`${cell.cellId} (${cell.colType})`}
|
||||
/>
|
||||
{edited && (
|
||||
<button
|
||||
onClick={() => resetCell(cell.cellId)}
|
||||
className="absolute -top-1 -right-1 w-4 h-4 bg-red-500 text-white rounded-full text-[9px] leading-none opacity-0 group-hover:opacity-100 transition-opacity flex items-center justify-center"
|
||||
title="Zuruecksetzen"
|
||||
>
|
||||
×
|
||||
</button>
|
||||
)}
|
||||
</div>
|
||||
)
|
||||
})}
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
)
|
||||
}
|
||||
|
||||
return (
|
||||
<div className="space-y-3">
|
||||
{/* Toolbar */}
|
||||
@@ -367,6 +702,18 @@ export function StepReconstruction({ sessionId, onNext }: StepReconstructionProp
|
||||
>
|
||||
Einfach
|
||||
</button>
|
||||
{isParentWithBoxes && (
|
||||
<button
|
||||
onClick={() => setEditorMode('overlay')}
|
||||
className={`px-2 py-0.5 transition-colors ${
|
||||
editorMode === 'overlay'
|
||||
? 'bg-teal-600 text-white'
|
||||
: 'hover:bg-gray-50 dark:hover:bg-gray-700 text-gray-600 dark:text-gray-400'
|
||||
}`}
|
||||
>
|
||||
Overlay
|
||||
</button>
|
||||
)}
|
||||
<button
|
||||
onClick={() => setEditorMode('editor')}
|
||||
className={`px-2 py-0.5 transition-colors ${
|
||||
@@ -406,43 +753,74 @@ export function StepReconstruction({ sessionId, onNext }: StepReconstructionProp
|
||||
|
||||
<div className="w-px h-5 bg-gray-300 dark:bg-gray-600 mx-1" />
|
||||
|
||||
{/* Empty field toggle */}
|
||||
<button
|
||||
onClick={() => setShowEmptyHighlight(v => !v)}
|
||||
className={`px-2 py-1 text-xs border rounded transition-colors ${
|
||||
showEmptyHighlight
|
||||
? 'border-red-300 bg-red-50 text-red-600 dark:border-red-700 dark:bg-red-900/30 dark:text-red-400'
|
||||
: 'border-gray-300 dark:border-gray-600 hover:bg-gray-50 dark:hover:bg-gray-700'
|
||||
}`}
|
||||
title="Leere Pflichtfelder markieren"
|
||||
>
|
||||
Leer
|
||||
</button>
|
||||
{/* Overlay-specific toolbar */}
|
||||
{editorMode === 'overlay' && (
|
||||
<>
|
||||
<label className="flex items-center gap-1 text-xs text-gray-600 dark:text-gray-400">
|
||||
Schrift
|
||||
<input
|
||||
type="range" min={30} max={120} value={Math.round(fontScale * 100)}
|
||||
onChange={e => setFontScale(Number(e.target.value) / 100)}
|
||||
className="w-20 h-1 accent-teal-600"
|
||||
/>
|
||||
<span className="w-8 text-right font-mono">{Math.round(fontScale * 100)}%</span>
|
||||
</label>
|
||||
<button
|
||||
onClick={() => setGlobalBold(b => !b)}
|
||||
className={`px-2 py-1 text-xs rounded border transition-colors font-bold ${
|
||||
globalBold
|
||||
? 'bg-teal-600 text-white border-teal-600'
|
||||
: 'bg-white dark:bg-gray-700 text-gray-600 dark:text-gray-400 border-gray-300 dark:border-gray-600'
|
||||
}`}
|
||||
>
|
||||
B
|
||||
</button>
|
||||
<div className="w-px h-5 bg-gray-300 dark:bg-gray-600 mx-1" />
|
||||
</>
|
||||
)}
|
||||
|
||||
<div className="w-px h-5 bg-gray-300 dark:bg-gray-600 mx-1" />
|
||||
{/* Non-overlay controls */}
|
||||
{editorMode !== 'overlay' && (
|
||||
<>
|
||||
{/* Empty field toggle */}
|
||||
<button
|
||||
onClick={() => setShowEmptyHighlight(v => !v)}
|
||||
className={`px-2 py-1 text-xs border rounded transition-colors ${
|
||||
showEmptyHighlight
|
||||
? 'border-red-300 bg-red-50 text-red-600 dark:border-red-700 dark:bg-red-900/30 dark:text-red-400'
|
||||
: 'border-gray-300 dark:border-gray-600 hover:bg-gray-50 dark:hover:bg-gray-700'
|
||||
}`}
|
||||
title="Leere Pflichtfelder markieren"
|
||||
>
|
||||
Leer
|
||||
</button>
|
||||
|
||||
{/* Zoom controls */}
|
||||
<button
|
||||
onClick={() => setZoom(z => Math.max(50, z - 25))}
|
||||
className="px-2 py-1 text-xs border border-gray-300 dark:border-gray-600 rounded hover:bg-gray-50 dark:hover:bg-gray-700"
|
||||
>
|
||||
−
|
||||
</button>
|
||||
<span className="text-xs text-gray-500 w-10 text-center">{zoom}%</span>
|
||||
<button
|
||||
onClick={() => setZoom(z => Math.min(200, z + 25))}
|
||||
className="px-2 py-1 text-xs border border-gray-300 dark:border-gray-600 rounded hover:bg-gray-50 dark:hover:bg-gray-700"
|
||||
>
|
||||
+
|
||||
</button>
|
||||
<button
|
||||
onClick={() => setZoom(100)}
|
||||
className="px-2 py-1 text-xs border border-gray-300 dark:border-gray-600 rounded hover:bg-gray-50 dark:hover:bg-gray-700"
|
||||
>
|
||||
Fit
|
||||
</button>
|
||||
<div className="w-px h-5 bg-gray-300 dark:bg-gray-600 mx-1" />
|
||||
|
||||
<div className="w-px h-5 bg-gray-300 dark:bg-gray-600 mx-1" />
|
||||
{/* Zoom controls */}
|
||||
<button
|
||||
onClick={() => setZoom(z => Math.max(50, z - 25))}
|
||||
className="px-2 py-1 text-xs border border-gray-300 dark:border-gray-600 rounded hover:bg-gray-50 dark:hover:bg-gray-700"
|
||||
>
|
||||
−
|
||||
</button>
|
||||
<span className="text-xs text-gray-500 w-10 text-center">{zoom}%</span>
|
||||
<button
|
||||
onClick={() => setZoom(z => Math.min(200, z + 25))}
|
||||
className="px-2 py-1 text-xs border border-gray-300 dark:border-gray-600 rounded hover:bg-gray-50 dark:hover:bg-gray-700"
|
||||
>
|
||||
+
|
||||
</button>
|
||||
<button
|
||||
onClick={() => setZoom(100)}
|
||||
className="px-2 py-1 text-xs border border-gray-300 dark:border-gray-600 rounded hover:bg-gray-50 dark:hover:bg-gray-700"
|
||||
>
|
||||
Fit
|
||||
</button>
|
||||
|
||||
<div className="w-px h-5 bg-gray-300 dark:bg-gray-600 mx-1" />
|
||||
</>
|
||||
)}
|
||||
|
||||
<button
|
||||
onClick={saveReconstruction}
|
||||
@@ -454,8 +832,10 @@ export function StepReconstruction({ sessionId, onNext }: StepReconstructionProp
|
||||
</div>
|
||||
</div>
|
||||
|
||||
{/* Reconstruction canvas — Simple or Editor mode */}
|
||||
{editorMode === 'editor' && sessionId ? (
|
||||
{/* Reconstruction canvas */}
|
||||
{editorMode === 'overlay' ? (
|
||||
renderOverlayMode()
|
||||
) : editorMode === 'editor' && sessionId ? (
|
||||
<FabricReconstructionCanvas
|
||||
sessionId={sessionId}
|
||||
cells={gridCells}
|
||||
|
||||
162
admin-lehrer/components/ocr-pipeline/usePixelWordPositions.ts
Normal file
162
admin-lehrer/components/ocr-pipeline/usePixelWordPositions.ts
Normal file
@@ -0,0 +1,162 @@
|
||||
import { useEffect, useState } from 'react'
|
||||
import type { GridCell } from '@/app/(admin)/ai/ocr-pipeline/types'
|
||||
|
||||
export interface WordPosition {
|
||||
xPct: number
|
||||
wPct: number
|
||||
text: string
|
||||
fontRatio: number
|
||||
}
|
||||
|
||||
/**
|
||||
* Shared hook: analyse dark-pixel clusters on an image to determine
|
||||
* the exact horizontal position & auto-font-size of word groups in each cell.
|
||||
*
|
||||
* Returns a Map<cell_id, WordPosition[]>.
|
||||
*/
|
||||
export function usePixelWordPositions(
|
||||
imageUrl: string,
|
||||
cells: GridCell[],
|
||||
active: boolean,
|
||||
): Map<string, WordPosition[]> {
|
||||
const [cellWordPositions, setCellWordPositions] = useState<Map<string, WordPosition[]>>(new Map())
|
||||
|
||||
useEffect(() => {
|
||||
if (!active || cells.length === 0 || !imageUrl) return
|
||||
|
||||
const img = new Image()
|
||||
img.crossOrigin = 'anonymous'
|
||||
img.onload = () => {
|
||||
const canvas = document.createElement('canvas')
|
||||
canvas.width = img.naturalWidth
|
||||
canvas.height = img.naturalHeight
|
||||
const ctx = canvas.getContext('2d')
|
||||
if (!ctx) return
|
||||
ctx.drawImage(img, 0, 0)
|
||||
|
||||
const refFontSize = 40
|
||||
const fontFam = "'Liberation Sans', Arial, sans-serif"
|
||||
ctx.font = `${refFontSize}px ${fontFam}`
|
||||
|
||||
const positions = new Map<string, WordPosition[]>()
|
||||
|
||||
for (const cell of cells) {
|
||||
if (!cell.bbox_pct || !cell.text) continue
|
||||
|
||||
// Split by 3+ whitespace into word-groups
|
||||
const groups = cell.text.split(/\s{3,}/).map(s => s.trim()).filter(Boolean)
|
||||
|
||||
// Pixel region for this cell
|
||||
const imgW = img.naturalWidth
|
||||
const imgH = img.naturalHeight
|
||||
const cx = Math.round(cell.bbox_pct.x / 100 * imgW)
|
||||
const cy = Math.round(cell.bbox_pct.y / 100 * imgH)
|
||||
const cw = Math.round(cell.bbox_pct.w / 100 * imgW)
|
||||
const ch = Math.round(cell.bbox_pct.h / 100 * imgH)
|
||||
if (cw <= 0 || ch <= 0) continue
|
||||
|
||||
const imageData = ctx.getImageData(cx, cy, cw, ch)
|
||||
|
||||
// Vertical projection: count dark pixels per column
|
||||
const proj = new Float32Array(cw)
|
||||
for (let y = 0; y < ch; y++) {
|
||||
for (let x = 0; x < cw; x++) {
|
||||
const idx = (y * cw + x) * 4
|
||||
const lum = 0.299 * imageData.data[idx] + 0.587 * imageData.data[idx + 1] + 0.114 * imageData.data[idx + 2]
|
||||
if (lum < 128) proj[x]++
|
||||
}
|
||||
}
|
||||
|
||||
// Find dark-pixel clusters (word groups on the image)
|
||||
const threshold = Math.max(1, ch * 0.03)
|
||||
const minGap = Math.max(5, Math.round(cw * 0.02))
|
||||
const clusters: { start: number; end: number }[] = []
|
||||
let inCluster = false
|
||||
let clStart = 0
|
||||
let gap = 0
|
||||
|
||||
for (let x = 0; x < cw; x++) {
|
||||
if (proj[x] >= threshold) {
|
||||
if (!inCluster) { clStart = x; inCluster = true }
|
||||
gap = 0
|
||||
} else if (inCluster) {
|
||||
gap++
|
||||
if (gap > minGap) {
|
||||
clusters.push({ start: clStart, end: x - gap })
|
||||
inCluster = false
|
||||
gap = 0
|
||||
}
|
||||
}
|
||||
}
|
||||
if (inCluster) clusters.push({ start: clStart, end: cw - 1 - gap })
|
||||
|
||||
if (clusters.length === 0) continue
|
||||
|
||||
const wordPos: WordPosition[] = []
|
||||
|
||||
if (groups.length <= 1) {
|
||||
// Single group: position at first cluster, merge all clusters for width
|
||||
const firstCl = clusters[0]
|
||||
const lastCl = clusters[clusters.length - 1]
|
||||
const clusterW = lastCl.end - firstCl.start + 1
|
||||
const measured = ctx.measureText(cell.text.trim())
|
||||
const autoFontPx = refFontSize * (clusterW / measured.width)
|
||||
const fontRatio = Math.min(autoFontPx / ch, 1.0)
|
||||
wordPos.push({
|
||||
xPct: cell.bbox_pct.x + (firstCl.start / cw) * cell.bbox_pct.w,
|
||||
wPct: ((lastCl.end - firstCl.start + 1) / cw) * cell.bbox_pct.w,
|
||||
text: cell.text.trim(),
|
||||
fontRatio,
|
||||
})
|
||||
} else if (clusters.length >= groups.length) {
|
||||
// Multiple groups: match to clusters left-to-right
|
||||
for (let i = 0; i < groups.length; i++) {
|
||||
const cl = clusters[i]
|
||||
const clusterW = cl.end - cl.start + 1
|
||||
const measured = ctx.measureText(groups[i])
|
||||
const autoFontPx = refFontSize * (clusterW / measured.width)
|
||||
const fontRatio = Math.min(autoFontPx / ch, 1.0)
|
||||
wordPos.push({
|
||||
xPct: cell.bbox_pct.x + (cl.start / cw) * cell.bbox_pct.w,
|
||||
wPct: ((cl.end - cl.start + 1) / cw) * cell.bbox_pct.w,
|
||||
text: groups[i],
|
||||
fontRatio,
|
||||
})
|
||||
}
|
||||
} else {
|
||||
continue // fewer clusters than groups — skip
|
||||
}
|
||||
|
||||
positions.set(cell.cell_id, wordPos)
|
||||
}
|
||||
|
||||
// Normalise: find the most common fontRatio (mode) and apply it to all
|
||||
const allRatios: number[] = []
|
||||
for (const wps of positions.values()) {
|
||||
for (const wp of wps) allRatios.push(wp.fontRatio)
|
||||
}
|
||||
if (allRatios.length > 0) {
|
||||
// Bucket ratios to 2 decimal places, find mode
|
||||
const buckets = new Map<number, number>()
|
||||
for (const r of allRatios) {
|
||||
const key = Math.round(r * 50) / 50 // round to nearest 0.02
|
||||
buckets.set(key, (buckets.get(key) || 0) + 1)
|
||||
}
|
||||
let modeRatio = allRatios[0]
|
||||
let modeCount = 0
|
||||
for (const [ratio, count] of buckets) {
|
||||
if (count > modeCount) { modeRatio = ratio; modeCount = count }
|
||||
}
|
||||
// Apply mode to all word positions
|
||||
for (const wps of positions.values()) {
|
||||
for (const wp of wps) wp.fontRatio = modeRatio
|
||||
}
|
||||
}
|
||||
|
||||
setCellWordPositions(positions)
|
||||
}
|
||||
img.src = imageUrl
|
||||
}, [active, cells, imageUrl])
|
||||
|
||||
return cellWordPositions
|
||||
}
|
||||
Reference in New Issue
Block a user