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Author SHA1 Message Date
kcar 47a7a7692f chore: preserve Ollama 131k model placeholder 2026-08-09 19:17:04 +00:00
kcarandClaude Opus 4.8 c346493a34 WS-2 R3: containers/preamble as background backdrops, tick-N, no false overlap flag
app-ci-deploy / test-build-deploy (push) Has been cancelled
From KC's 2nd review:
- z-order: boundaries, preamble bands and container frames drawn behind; figures,
  responses and parts on top (a figure's description tooltip is no longer blocked
  by the preamble box). Preamble + containers are pointerEvents:none.
- the 'large box around all content' is gone: a container renders as a small
  corner tab (label + total marks), not an enclosing box; intermediate part-groups
  keep a faint dashed nesting frame. Main-question extent is shown by its boundaries.
- MC 'tick N' count (select_n) surfaced next to the option boxes.
- fixed the spurious 'overlapping shapes' review flag on containers (they legitimately
  enclose their children; only genuine partial overlaps between non-containers flag now).
tsc clean; 7/7 model tests pass.

Co-Authored-By: Claude Opus 4.8 <[email protected]>
Claude-Session: https://claude.ai/code/session_01GruxHXxfdp4kZCgAMVFgvV
2026-07-04 13:13:46 +00:00
kcarandClaude Opus 4.8 81e1b5ed25 WS-2 R2: render answer sub-structure on response boxes (components/MC boxes/units)
app-ci-deploy / test-build-deploy (push) Has been cancelled
From KC's review — the canvas now draws the detail the spike detected:
- numbered sub-answer bands ('suggest two' → dashed dividers + 1/2 labels),
- per-option MC selection boxes (drawn from meta.boxes rel coords; filled tint
  when detected marked),
- the final-answer line's expected quantity + unit pill.
Region meta (components/boxes/final_answer_line + figure name/desc) is carried
through load→shape props (metaJson)→render, and round-trips on save via
exam_response_areas.meta. tsc clean; 7/7 model tests pass.

Co-Authored-By: Claude Opus 4.8 <[email protected]>
Claude-Session: https://claude.ai/code/session_01GruxHXxfdp4kZCgAMVFgvV
2026-07-04 12:57:01 +00:00
kcarandClaude Opus 4.8 e0e36225fe WS-2 items 4+5: draw structure on canvas + preserve N-deep tree on save
app-ci-deploy / test-build-deploy (push) Has been cancelled
Round-trip fix (item 5): serializeCanvasShapes no longer re-derives the question
tree from boundary pairs (which flattened 3-deep → 2-tier). The whole tree is now
carried as 'part' shapes that hold parentId + isContainer + depth; save preserves
the real parent_id chains (persisted parent wins; geometry is only a fallback for
manually-drawn shapes). Boundary-pair synthesis is kept but attaches to a covering
container box when one exists. New test locks a 3-deep Q→part→subpart round-trip.

Draw structure (item 4): shapesFromTemplate now draws containers too (were skipped),
each with nesting depth. examCanvasShapes renders container frames (transparent,
depth-hued border), PRINTS MARKS on part/container boxes (◆N pill; were never
drawn), and NAMES context figures (figure name as label + description tooltip +
'→ Q' tether pill; was an anonymous purple box). Context name/description round-trip
via exam_response_areas.meta.

Threads new shape props through the tldraw util + setup page + types. Adds meta to
ExamResponseArea + replace payload. tsc: no new errors; 7/7 model tests pass.

Co-Authored-By: Claude Opus 4.8 <[email protected]>
Claude-Session: https://claude.ai/code/session_01GruxHXxfdp4kZCgAMVFgvV
2026-07-04 12:13:13 +00:00
kcar dbab592ce8 Merge P4 digital-text viewer
app-ci-deploy / test-build-deploy (push) Has been cancelled
2026-07-03 02:09:34 +00:00
kcarandClaude Opus 4.8 0c46582ec3 P4 app: Digital text viewer + extraction audit chip on setup page
'Digital text' button opens the digital-replica markdown (stem text, parts, marks,
answer-space placeholders, spec refs) in a dialog with download. A 'Marks N/M' chip
surfaces the extraction cover-total reconciliation (green=ok / amber=under-read) from
extraction_meta.audit. examRepository.getDigitalText + DigitalTextResponse type.

Co-Authored-By: Claude Opus 4.8 <[email protected]>
2026-07-03 02:09:34 +00:00
kcar e6ecc723cc Merge exam-canvas form badge
app-ci-deploy / test-build-deploy (push) Has been cancelled
2026-07-02 23:55:43 +00:00
kcarandClaude Opus 4.8 0f44dc614c Exam canvas: show recognised response FORM on each ghost
The extraction service types every answer space (multiple choice, draw-on, table,
ruled lines…), but the canvas rendered them all as a generic blue 'Response' box.
Add a small form badge (bottom-right) so the recognition is legible at a glance;
context regions show their type too. Colour-by-kind is unchanged.

Co-Authored-By: Claude Opus 4.8 <[email protected]>
2026-07-02 23:55:43 +00:00
7 changed files with 346 additions and 39 deletions
+71 -4
View File
@@ -1,7 +1,8 @@
import React, { useCallback, useEffect, useMemo, useRef, useState } from 'react' import React, { useCallback, useEffect, useMemo, useRef, useState } from 'react'
import { useNavigate, useParams } from 'react-router-dom' import { useNavigate, useParams } from 'react-router-dom'
import { Alert, Box, Button, Chip, CircularProgress, Collapse, Divider, IconButton, Paper, Snackbar, Stack, Tooltip, Typography, useTheme } from '@mui/material' import { Alert, Box, Button, Chip, CircularProgress, Collapse, Dialog, DialogContent, DialogTitle, Divider, IconButton, Paper, Snackbar, Stack, Tooltip, Typography, useTheme } from '@mui/material'
import DescriptionIcon from '@mui/icons-material/Description'
import ArrowBackIcon from '@mui/icons-material/ArrowBack' import ArrowBackIcon from '@mui/icons-material/ArrowBack'
import HelpOutlineIcon from '@mui/icons-material/HelpOutline' import HelpOutlineIcon from '@mui/icons-material/HelpOutline'
import AutoFixHighIcon from '@mui/icons-material/AutoFixHigh' import AutoFixHighIcon from '@mui/icons-material/AutoFixHigh'
@@ -17,7 +18,7 @@ import axios from 'axios'
import { ErrorBoundary } from '../../../components/ErrorBoundary' import { ErrorBoundary } from '../../../components/ErrorBoundary'
import { logger } from '../../../debugConfig' import { logger } from '../../../debugConfig'
import { examRepository } from '../../../services/exam/examRepository' import { examRepository } from '../../../services/exam/examRepository'
import type { AutoMapJobStatus, ExamTemplateDetail } from '../../../types/exam.types' import type { AutoMapJobStatus, DigitalTextResponse, ExamTemplateDetail } from '../../../types/exam.types'
import { CanvasPageGeometry, ExamCanvasShapeModel, PAGE_HEIGHT, PAGE_WIDTH, isUuid, newDomainId, serializeCanvasShapes, shapesFromTemplate } from '../../../utils/exam-canvas/model' import { CanvasPageGeometry, ExamCanvasShapeModel, PAGE_HEIGHT, PAGE_WIDTH, isUuid, newDomainId, serializeCanvasShapes, shapesFromTemplate } from '../../../utils/exam-canvas/model'
import { PDF_PAGE_SHAPE_TYPE, canvasShapePalette, examCanvasShapeUtils, examCanvasTools, ExamCanvasTLShape, SHAPE_TYPES, isPdfPageShape, shapeTypeToKind } from './examCanvasShapes' import { PDF_PAGE_SHAPE_TYPE, canvasShapePalette, examCanvasShapeUtils, examCanvasTools, ExamCanvasTLShape, SHAPE_TYPES, isPdfPageShape, shapeTypeToKind } from './examCanvasShapes'
import { loadPdfPageImages, PdfPageImage } from './pdfLoader' import { loadPdfPageImages, PdfPageImage } from './pdfLoader'
@@ -135,6 +136,12 @@ function modelFromTLShape(shape: TLShape): ExamCanvasShapeModel | null {
responseForm: s.props.responseForm as ExamCanvasShapeModel['responseForm'], responseForm: s.props.responseForm as ExamCanvasShapeModel['responseForm'],
contextType: s.props.contextType, contextType: s.props.contextType,
questionId: s.props.questionId ?? null, questionId: s.props.questionId ?? null,
parentId: s.props.parentId ?? null,
isContainer: s.props.isContainer ?? false,
depth: s.props.depth,
description: s.props.description,
linkLabel: s.props.linkLabel,
meta: (() => { try { return s.props.metaJson ? JSON.parse(s.props.metaJson) : undefined } catch { return undefined } })(),
source: s.props.source ?? 'manual', source: s.props.source ?? 'manual',
confirmed: s.props.confirmed ?? s.props.source !== 'ai', confirmed: s.props.confirmed ?? s.props.source !== 'ai',
confidence: typeof s.props.confidence === 'number' ? s.props.confidence : null, confidence: typeof s.props.confidence === 'number' ? s.props.confidence : null,
@@ -147,16 +154,28 @@ function bringDomainShapesToFront(editor: Editor) {
if (ids.length) try { editor.bringToFront(ids as any) } catch { /* */ } if (ids.length) try { editor.bringToFront(ids as any) } catch { /* */ }
} }
// Draw order = z-order (tldraw stacks by creation). Backdrops (boundaries, preamble bands, container frames)
// go first/behind so the figures, responses and parts on top stay hoverable and legible.
function zPriority(m: ExamCanvasShapeModel): number {
if (m.kind === 'boundary') return 0
if (m.kind === 'context' && m.contextType === 'preamble') return 1
if (m.kind === 'part' && m.isContainer) return 2
if (m.kind === 'part') return 3
if (m.kind === 'context') return 5 // figures/tables on top so their description tooltip is reachable
return 4 // responses + other regions
}
function loadShapes(editor: Editor, models: ExamCanvasShapeModel[]) { function loadShapes(editor: Editor, models: ExamCanvasShapeModel[]) {
const existing = editor.getCurrentPageShapes().filter((s) => shapeTypeToKind(s.type)).map((s) => s.id) const existing = editor.getCurrentPageShapes().filter((s) => shapeTypeToKind(s.type)).map((s) => s.id)
if (existing.length) editor.deleteShapes(existing) if (existing.length) editor.deleteShapes(existing)
if (!models.length) return if (!models.length) return
editor.createShapes(models.map((m) => ({ const ordered = [...models].sort((a, b) => zPriority(a) - zPriority(b))
editor.createShapes(ordered.map((m) => ({
id: createShapeId(m.id), id: createShapeId(m.id),
type: SHAPE_TYPES[m.kind], type: SHAPE_TYPES[m.kind],
x: m.x, x: m.x,
y: m.y, y: m.y,
props: { w: m.w, h: m.h, label: m.label ?? m.kind, kind: m.kind, maxMarks: m.maxMarks, responseForm: m.responseForm, contextType: m.contextType, questionId: m.questionId, domainId: m.id, source: m.source ?? 'manual', confirmed: m.confirmed ?? m.source !== 'ai', confidence: m.confidence ?? undefined, derivation: m.derivation ?? undefined, reviewFlags: m.reviewFlags?.join('|') }, props: { w: m.w, h: m.h, label: m.label ?? m.kind, kind: m.kind, maxMarks: m.maxMarks, responseForm: m.responseForm, contextType: m.contextType, questionId: m.questionId, parentId: m.parentId ?? undefined, isContainer: m.isContainer ?? undefined, depth: m.depth ?? undefined, description: m.description ?? undefined, linkLabel: m.linkLabel ?? undefined, metaJson: m.meta ? JSON.stringify(m.meta) : undefined, domainId: m.id, source: m.source ?? 'manual', confirmed: m.confirmed ?? m.source !== 'ai', confidence: m.confidence ?? undefined, derivation: m.derivation ?? undefined, reviewFlags: m.reviewFlags?.join('|') },
}))) })))
} }
@@ -224,8 +243,25 @@ const ExamTemplateSetupInner: React.FC = () => {
const [autoMapStatus, setAutoMapStatus] = useState<AutoMapJobStatus | null>(null) const [autoMapStatus, setAutoMapStatus] = useState<AutoMapJobStatus | null>(null)
const [autoMapBusy, setAutoMapBusy] = useState(false) const [autoMapBusy, setAutoMapBusy] = useState(false)
const [liveReview, setLiveReview] = useState({ ai: 0, unconfirmed: 0, lowConfidence: 0 }) const [liveReview, setLiveReview] = useState({ ai: 0, unconfirmed: 0, lowConfidence: 0 })
const [digitalText, setDigitalText] = useState<DigitalTextResponse | null>(null)
const [digitalOpen, setDigitalOpen] = useState(false)
const [digitalBusy, setDigitalBusy] = useState(false)
const autoMapPollRef = useRef<number | null>(null) const autoMapPollRef = useRef<number | null>(null)
const openDigitalText = useCallback(async () => {
if (!template) return
setDigitalBusy(true); setDigitalOpen(true)
try {
setDigitalText(await examRepository.getDigitalText(template.id))
} catch (e) {
setDigitalText(null)
setError(e instanceof Error ? e.message : 'No digital text yet — run auto-map first.')
setDigitalOpen(false)
} finally {
setDigitalBusy(false)
}
}, [template])
const refreshReview = useCallback(() => setLiveReview(reviewFromShapes(editorRef.current)), []) const refreshReview = useCallback(() => setLiveReview(reviewFromShapes(editorRef.current)), [])
const applyTemplateToCanvas = useCallback((detail: ExamTemplateDetail) => { const applyTemplateToCanvas = useCallback((detail: ExamTemplateDetail) => {
@@ -439,6 +475,11 @@ const ExamTemplateSetupInner: React.FC = () => {
<Chip size="small" color={review.unconfirmed ? 'warning' : review.ai ? 'info' : 'default'} label={review.ai ? `AI review: ${review.unconfirmed} unconfirmed · ${review.lowConfidence} low conf` : 'Manual template'} /> <Chip size="small" color={review.unconfirmed ? 'warning' : review.ai ? 'info' : 'default'} label={review.ai ? `AI review: ${review.unconfirmed} unconfirmed · ${review.lowConfidence} low conf` : 'Manual template'} />
<Chip size="small" color={dirty ? 'warning' : 'success'} label={dirty ? 'Unsaved' : 'Saved'} /> <Chip size="small" color={dirty ? 'warning' : 'success'} label={dirty ? 'Unsaved' : 'Saved'} />
{(autoMapBusy || autoMapStatus) && <Chip size="small" color={autoMapStatus?.status === 'failed' ? 'error' : autoMapStatus?.status === 'completed' ? 'success' : 'info'} label={autoMapStatusLabel(autoMapStatus)} />} {(autoMapBusy || autoMapStatus) && <Chip size="small" color={autoMapStatus?.status === 'failed' ? 'error' : autoMapStatus?.status === 'completed' ? 'success' : 'info'} label={autoMapStatusLabel(autoMapStatus)} />}
{(() => {
const a = (template as (ExamTemplateDetail & { extraction_meta?: { audit?: { status?: string; cover_total?: number; detected_total?: number } } }) | null)?.extraction_meta?.audit
return a?.status ? <Tooltip title="Extraction cover-total reconciliation (detected vs printed maximum)"><Chip size="small" color={a.status === 'ok' ? 'success' : 'warning'} label={`Marks ${a.detected_total ?? '?'}/${a.cover_total ?? '?'}`} /></Tooltip> : null
})()}
<Button size="small" variant="outlined" startIcon={digitalBusy ? <CircularProgress size={14} /> : <DescriptionIcon fontSize="small" />} onClick={openDigitalText} disabled={digitalBusy || !template}>Digital text</Button>
<Button size="small" variant="outlined" startIcon={autoMapBusy ? <CircularProgress size={14} /> : <AutoFixHighIcon fontSize="small" />} onClick={autoMapFromPdf} disabled={autoMapBusy || saving || loading || !template || pdfStatus !== 'ready'}>Auto-map from PDF</Button> <Button size="small" variant="outlined" startIcon={autoMapBusy ? <CircularProgress size={14} /> : <AutoFixHighIcon fontSize="small" />} onClick={autoMapFromPdf} disabled={autoMapBusy || saving || loading || !template || pdfStatus !== 'ready'}>Auto-map from PDF</Button>
<Button size="small" variant="contained" startIcon={saving ? <CircularProgress size={14} color="inherit" /> : <SaveIcon fontSize="small" />} onClick={save} disabled={saving || loading || !template}>Save</Button> <Button size="small" variant="contained" startIcon={saving ? <CircularProgress size={14} color="inherit" /> : <SaveIcon fontSize="small" />} onClick={save} disabled={saving || loading || !template}>Save</Button>
</Paper> </Paper>
@@ -552,6 +593,32 @@ const ExamTemplateSetupInner: React.FC = () => {
</Box> </Box>
{loading && <Box sx={{ position: 'absolute', inset: 0, display: 'grid', placeItems: 'center', bgcolor: 'rgba(15,23,42,.18)', zIndex: 10 }}><CircularProgress /></Box>} {loading && <Box sx={{ position: 'absolute', inset: 0, display: 'grid', placeItems: 'center', bgcolor: 'rgba(15,23,42,.18)', zIndex: 10 }}><CircularProgress /></Box>}
<Dialog open={digitalOpen} onClose={() => setDigitalOpen(false)} maxWidth="md" fullWidth>
<DialogTitle sx={{ display: 'flex', alignItems: 'center', gap: 1 }}>
<DescriptionIcon fontSize="small" />
Digital text
{digitalText && <Typography component="span" variant="body2" color="text.secondary"> {digitalText.title} · {digitalText.n_questions}Q · {digitalText.total_marks} marks</Typography>}
<Box sx={{ flex: 1 }} />
{digitalText && (
<Tooltip title="Download markdown">
<IconButton size="small" onClick={() => {
const blob = new Blob([digitalText.markdown], { type: 'text/markdown' })
const url = URL.createObjectURL(blob); const a = document.createElement('a')
a.href = url; a.download = `${digitalText.slug}.md`; a.click(); URL.revokeObjectURL(url)
}}><SaveIcon fontSize="small" /></IconButton>
</Tooltip>
)}
</DialogTitle>
<DialogContent dividers>
{digitalBusy ? (
<Box sx={{ display: 'flex', justifyContent: 'center', py: 4 }}><CircularProgress /></Box>
) : digitalText ? (
<Box component="pre" sx={{ whiteSpace: 'pre-wrap', wordBreak: 'break-word', fontFamily: 'ui-monospace, SFMono-Regular, Menlo, monospace', fontSize: 13, m: 0 }}>{digitalText.markdown}</Box>
) : (
<Typography variant="body2" color="text.secondary">No digital text available.</Typography>
)}
</DialogContent>
</Dialog>
<Snackbar open={!!error} autoHideDuration={8000} onClose={() => setError(null)}><Alert severity="error" onClose={() => setError(null)}>{error}</Alert></Snackbar> <Snackbar open={!!error} autoHideDuration={8000} onClose={() => setError(null)}><Alert severity="error" onClose={() => setError(null)}>{error}</Alert></Snackbar>
</Box> </Box>
) )
+124 -17
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@@ -35,6 +35,12 @@ export type ExamCanvasTLShape = TLBaseBoxShape & {
responseForm?: string responseForm?: string
contextType?: string contextType?: string
questionId?: string | null questionId?: string | null
parentId?: string | null
isContainer?: boolean
depth?: number
description?: string
linkLabel?: string
metaJson?: string
domainId?: string domainId?: string
source?: 'manual' | 'ai' source?: 'manual' | 'ai'
confirmed?: boolean confirmed?: boolean
@@ -66,6 +72,18 @@ export const canvasShapePalette: Record<ExamCanvasShapeKind, CanvasPaletteEntry>
furniture: { stroke: '#64748b', fill: 'rgba(100,116,139,0.12)', darkStroke: '#cbd5e1', darkFill: 'rgba(148,163,184,0.18)', dash: '3 5', label: 'Furniture', icon: '×', role: 'ignore' }, furniture: { stroke: '#64748b', fill: 'rgba(100,116,139,0.12)', darkStroke: '#cbd5e1', darkFill: 'rgba(148,163,184,0.18)', dash: '3 5', label: 'Furniture', icon: '×', role: 'ignore' },
} }
// Human-legible names for the extraction service's response forms — so the canvas SHOWS what was
// recognised (multiple-choice, draw-on, table…), not just a generic "Response" box.
const RESPONSE_FORM_LABEL: Record<string, string> = {
lines: 'ruled lines',
'answer-box': 'answer box',
working: 'working space',
diagram: 'draw-on',
'tick-boxes': 'multiple choice',
table: 'table',
blanks: 'fill-in',
}
const shapeCss = ` const shapeCss = `
.exam-canvas-shape { --exam-stroke: var(--exam-light-stroke); --exam-fill: var(--exam-light-fill); } .exam-canvas-shape { --exam-stroke: var(--exam-light-stroke); --exam-fill: var(--exam-light-fill); }
[data-color-mode="dark"] .exam-canvas-shape, .tl-theme__dark .exam-canvas-shape { --exam-stroke: var(--exam-dark-stroke); --exam-fill: var(--exam-dark-fill); } [data-color-mode="dark"] .exam-canvas-shape, .tl-theme__dark .exam-canvas-shape { --exam-stroke: var(--exam-dark-stroke); --exam-fill: var(--exam-dark-fill); }
@@ -125,43 +143,132 @@ function renderBoundaryLine(shape: ExamCanvasTLShape) {
) )
} }
// Distinct look for a container box (main question / intermediate part). It frames its children rather than
// filling over them: transparent interior + a coloured border whose hue shifts by nesting depth, so
// question ⊃ part ⊃ subpart reads as nested frames on the paper.
const CONTAINER_DEPTH_STROKE = ['#4f46e5', '#0d9488', '#b45309']
function containerStroke(depth: number) { return CONTAINER_DEPTH_STROKE[Math.min(depth, CONTAINER_DEPTH_STROKE.length - 1)] }
function marksPill(maxMarks: number | undefined) {
if (typeof maxMarks !== 'number' || maxMarks <= 0) return null
return (
<span className="exam-canvas-shape__pill" style={{ fontSize: 11, fontWeight: 900, borderRadius: 999, padding: '2px 7px', display: 'inline-flex', alignItems: 'center', gap: 3 }} title={`${maxMarks} mark${maxMarks === 1 ? '' : 's'}`}>
<span aria-hidden="true" style={{ opacity: 0.7 }}></span>{maxMarks}
</span>
)
}
function parseMeta(shape: ExamCanvasTLShape): Record<string, any> | null {
try { return shape.props.metaJson ? JSON.parse(shape.props.metaJson) : null } catch { return null }
}
// Draw the recognised answer sub-structure INSIDE a response box, using the box-relative [0,1] coords the
// contract now carries: numbered sub-answer bands ("suggest two" → 1, 2), per-option MC selection boxes, and
// the final-answer line's expected quantity/unit.
function renderResponseSubstructure(shape: ExamCanvasTLShape): React.ReactNode {
const m = parseMeta(shape)
if (!m) return null
const pct = (v: any, d = 0) => `${Math.max(0, Math.min(1, Number(v ?? d))) * 100}%`
const els: React.ReactNode[] = []
const comps: any[] = Array.isArray(m.components) ? m.components : []
comps.forEach((c, i) => {
if (i === 0) return // first band starts at the box top; a divider there is noise
els.push(<div key={`cd${i}`} style={{ position: 'absolute', left: 0, right: 0, top: pct(c.rel_y0), borderTop: '1px dashed var(--exam-stroke)', opacity: 0.45 }} />)
})
comps.forEach((c, i) => els.push(
<span key={`cl${i}`} className="exam-canvas-shape__pill" style={{ position: 'absolute', left: 4, top: `calc(${pct(c.rel_y0)} + 2px)`, fontSize: 10, fontWeight: 900, borderRadius: 6, padding: '0 5px', opacity: 0.95 }}>{c.label ?? i + 1}</span>
))
const boxes: any[] = Array.isArray(m.boxes) ? m.boxes : []
boxes.forEach((b, i) => {
const rel = b.rel || {}
const filled = Number(b.fill ?? 0) > 0.35
els.push(<div key={`bx${i}`} title={`option ${i + 1}${filled ? ' (marked)' : ''}`} style={{ position: 'absolute', left: pct(rel.x0), top: pct(rel.y0), width: pct(Number(rel.x1) - Number(rel.x0)), height: pct(Number(rel.y1) - Number(rel.y0)), border: '1.5px solid var(--exam-stroke)', borderRadius: 3, background: filled ? 'var(--exam-stroke)' : 'transparent', opacity: filled ? 0.5 : 0.85, boxSizing: 'border-box' }} />)
})
// "tick N" instruction for multiple-choice (select_n = how many boxes to tick)
const selectN = Number(m.select_n ?? 0)
if (selectN > 0 && boxes.length) {
els.push(<span key="tickn" className="exam-canvas-shape__pill" style={{ position: 'absolute', left: 4, top: 2, fontSize: 10, fontWeight: 900, borderRadius: 6, padding: '0 5px', opacity: 0.95 }}>tick {selectN}</span>)
}
const fal = m.final_answer_line
if (fal && (fal.unit || fal.quantity)) {
els.push(<span key="fal" className="exam-canvas-shape__pill" style={{ position: 'absolute', right: 4, top: `calc(${pct(fal.rel_y, 0.9)} - 8px)`, maxWidth: 'calc(100% - 8px)', whiteSpace: 'nowrap', overflow: 'hidden', textOverflow: 'ellipsis', fontSize: 10, fontWeight: 800, borderRadius: 6, padding: '0 5px', opacity: 0.95 }} title="expected final answer">{[fal.quantity, fal.unit && `(${fal.unit})`].filter(Boolean).join(' ')}</span>)
}
return els.length ? <>{els}</> : null
}
// A container question is a BACKDROP, not a big box over the content: the main question (depth 0) relies on
// its start/end boundary rules for extent and shows only a small corner tab (label + total marks); an
// intermediate part-group (depth ≥ 1) also gets a faint dashed frame to convey nesting. Non-interactive so it
// never blocks a hover on the figures/responses on top.
function renderContainerTab(shape: ExamCanvasTLShape) {
const depth = shape.props.depth ?? 0
const stroke = containerStroke(depth)
const isAiSuggestion = shape.props.source === 'ai' && shape.props.confirmed === false
const marks = shape.props.maxMarks
const title = provenanceTitle(shape, depth === 0 ? 'Question (container)' : 'Part group (container)')
return (
<HTMLContainer id={shape.id} style={{ width: toDomPrecision(shape.props.w), height: toDomPrecision(shape.props.h), pointerEvents: 'none', overflow: 'visible' }}>
<style>{shapeCss}</style>
{depth > 0 && <div style={{ position: 'absolute', inset: 0, border: `1px dashed ${stroke}`, borderRadius: 12, opacity: 0.3, boxSizing: 'border-box' }} />}
<span className="exam-canvas-shape__pill" title={title} style={{ position: 'absolute', left: 0, top: -3, display: 'inline-flex', alignItems: 'center', gap: 5, fontSize: 11, fontWeight: 900, borderRadius: 8, padding: '2px 7px', color: stroke, border: `1.5px solid ${stroke}`, background: 'rgba(255,255,255,0.92)', whiteSpace: 'nowrap' }}>
<span aria-hidden="true">{isAiSuggestion ? 'AI' : (depth === 0 ? '▣' : '▢')}</span>
{shape.props.label}
{typeof marks === 'number' && marks > 0 && <span style={{ opacity: 0.85 }}>· {marks}m</span>}
</span>
</HTMLContainer>
)
}
function renderShape(shape: ExamCanvasTLShape) { function renderShape(shape: ExamCanvasTLShape) {
const kind = shape.props.kind const kind = shape.props.kind
const p = canvasShapePalette[kind] ?? canvasShapePalette.response const p = canvasShapePalette[kind] ?? canvasShapePalette.response
const isBoundary = kind === 'boundary' const isBoundary = kind === 'boundary'
const isAiSuggestion = shape.props.source === 'ai' && shape.props.confirmed === false const isAiSuggestion = shape.props.source === 'ai' && shape.props.confirmed === false
if (isBoundary) return renderBoundaryLine(shape) if (isBoundary) return renderBoundaryLine(shape)
const isAi = shape.props.source === 'ai' const isContainer = shape.props.isContainer === true && kind === 'part'
if (isContainer) return renderContainerTab(shape)
const isPreamble = kind === 'context' && shape.props.contextType === 'preamble'
const depth = shape.props.depth ?? 0
const stroke = isContainer ? containerStroke(depth) : p.stroke
const darkStroke = isContainer ? containerStroke(depth) : p.darkStroke
const confidence = confidenceLabel(shape.props.confidence) const confidence = confidenceLabel(shape.props.confidence)
const flags = reviewFlags(shape) const flags = reviewFlags(shape)
const title = provenanceTitle(shape, `${p.label}: ${p.role}`) const roleLabel = isContainer ? (depth === 0 ? 'Question: container' : 'Part: container') : `${p.label}: ${p.role}`
const title = shape.props.description ? `${provenanceTitle(shape, roleLabel)}${shape.props.description}` : provenanceTitle(shape, roleLabel)
return ( return (
<HTMLContainer id={shape.id} style={{ width: toDomPrecision(shape.props.w), height: toDomPrecision(shape.props.h), pointerEvents: 'all' }}> <HTMLContainer id={shape.id} style={{ width: toDomPrecision(shape.props.w), height: toDomPrecision(shape.props.h), pointerEvents: isPreamble ? 'none' : 'all' }}>
<style>{shapeCss}</style> <style>{shapeCss}</style>
<div <div
className={`exam-canvas-shape exam-canvas-shape--${kind}`} className={`exam-canvas-shape exam-canvas-shape--${kind}${isContainer ? ' exam-canvas-shape--container' : ''}`}
style={{ style={{
'--exam-light-stroke': p.stroke, '--exam-light-stroke': stroke,
'--exam-light-fill': p.fill, '--exam-light-fill': p.fill,
'--exam-dark-stroke': p.darkStroke, '--exam-dark-stroke': darkStroke,
'--exam-dark-fill': p.darkFill, '--exam-dark-fill': p.darkFill,
width: '100%', height: '100%', boxSizing: 'border-box', border: `${isBoundary ? 2 : 1.5}px solid var(--exam-stroke)`, width: '100%', height: '100%', boxSizing: 'border-box', border: `${isContainer ? 2.5 : 1.5}px ${isContainer ? 'solid' : (isAiSuggestion ? 'dashed' : p.dash ? 'dashed' : 'solid')} var(--exam-stroke)`,
borderStyle: isAiSuggestion ? 'dashed' : p.dash ? 'dashed' : 'solid', borderRadius: isBoundary ? 999 : 10, borderRadius: isContainer ? 14 : 10,
background: isBoundary ? 'transparent' : 'var(--exam-fill)', opacity: isAiSuggestion ? ghostOpacity(shape.props.confidence) : 1, color: 'var(--exam-stroke)', fontFamily: 'Inter, system-ui, sans-serif', background: isContainer ? 'transparent' : 'var(--exam-fill)', opacity: isAiSuggestion ? ghostOpacity(shape.props.confidence) : 1, color: 'var(--exam-stroke)', fontFamily: 'Inter, system-ui, sans-serif',
display: 'flex', alignItems: isBoundary ? 'center' : 'flex-start', justifyContent: isBoundary ? 'center' : 'space-between', display: 'flex', alignItems: 'flex-start', justifyContent: 'space-between',
padding: isBoundary ? '0 8px' : 8, boxShadow: isBoundary ? '0 0 0 3px rgba(239,68,68,0.08)' : '0 10px 22px rgba(15,23,42,0.10)', overflow: 'hidden', gap: 6, padding: 8, boxShadow: isContainer ? 'none' : '0 10px 22px rgba(15,23,42,0.10)', overflow: 'hidden', gap: 6,
} as React.CSSProperties} } as React.CSSProperties}
aria-label={title} aria-label={title}
title={title} title={title}
> >
<span className="exam-canvas-shape__pill" style={{ fontSize: 12, fontWeight: 900, textTransform: 'uppercase', letterSpacing: 0.6, borderRadius: 999, padding: '2px 7px', display: 'inline-flex', alignItems: 'center', gap: 5 }}> {kind === 'response' && renderResponseSubstructure(shape)}
<span aria-hidden="true">{isAiSuggestion ? 'AI' : p.icon}</span> <span className="exam-canvas-shape__pill" style={{ fontSize: 12, fontWeight: 900, textTransform: 'uppercase', letterSpacing: 0.6, borderRadius: 999, padding: '2px 7px', display: 'inline-flex', alignItems: 'center', gap: 5, maxWidth: 'calc(100% - 60px)', overflow: 'hidden', textOverflow: 'ellipsis', whiteSpace: 'nowrap', zIndex: 1 }}>
<span aria-hidden="true">{isAiSuggestion ? 'AI' : (isContainer ? (depth === 0 ? '▣' : '▢') : p.icon)}</span>
{shape.props.label || p.label} {shape.props.label || p.label}
</span> </span>
{confidence && <span className="exam-canvas-shape__pill exam-canvas-shape__confidence" style={{ fontSize: 11, fontWeight: 900, borderRadius: 999, padding: '2px 7px' }}>{confidence}</span>} <span style={{ display: 'inline-flex', alignItems: 'center', gap: 4, flexShrink: 0 }}>
{!confidence && !isBoundary && shape.props.questionId && <span className="exam-canvas-shape__pill" style={{ fontSize: 11, fontWeight: 800, borderRadius: 999, padding: '2px 7px' }}>Attached</span>} {marksPill(shape.props.maxMarks)}
{confidence && <span className="exam-canvas-shape__pill exam-canvas-shape__confidence" style={{ fontSize: 11, fontWeight: 900, borderRadius: 999, padding: '2px 7px' }}>{confidence}</span>}
{!confidence && !marksPill(shape.props.maxMarks) && shape.props.questionId && kind !== 'context' && <span className="exam-canvas-shape__pill" style={{ fontSize: 11, fontWeight: 800, borderRadius: 999, padding: '2px 7px' }}>Attached</span>}
</span>
{flags.length > 0 && <span className="exam-canvas-shape__pill exam-canvas-shape__flag" style={{ position: 'absolute', left: 8, bottom: 8, fontSize: 10, fontWeight: 900, borderRadius: 999, padding: '1px 6px', maxWidth: 'calc(100% - 16px)', whiteSpace: 'nowrap', overflow: 'hidden', textOverflow: 'ellipsis' }}>{flags.slice(0, 2).join(' · ')}</span>} {flags.length > 0 && <span className="exam-canvas-shape__pill exam-canvas-shape__flag" style={{ position: 'absolute', left: 8, bottom: 8, fontSize: 10, fontWeight: 900, borderRadius: 999, padding: '1px 6px', maxWidth: 'calc(100% - 16px)', whiteSpace: 'nowrap', overflow: 'hidden', textOverflow: 'ellipsis' }}>{flags.slice(0, 2).join(' · ')}</span>}
{isBoundary && <span className="exam-canvas-shape__pill" style={{ fontSize: 10, fontWeight: 800, borderRadius: 999, padding: '1px 6px' }}>pair across pages</span>} {kind === 'response' && shape.props.responseForm && <span className="exam-canvas-shape__pill" style={{ position: 'absolute', right: 8, bottom: 8, fontSize: 10, fontWeight: 800, borderRadius: 999, padding: '1px 6px', opacity: 0.9 }}>{RESPONSE_FORM_LABEL[shape.props.responseForm] ?? shape.props.responseForm}</span>}
{/* Context region: a visible tether to its owning question + the figure kind. */}
{kind === 'context' && shape.props.linkLabel && <span className="exam-canvas-shape__pill" style={{ position: 'absolute', left: 8, bottom: 8, fontSize: 10, fontWeight: 800, borderRadius: 999, padding: '1px 6px', opacity: 0.95 }}> {shape.props.linkLabel}</span>}
{kind === 'context' && shape.props.contextType && shape.props.contextType !== 'generic' && <span className="exam-canvas-shape__pill" style={{ position: 'absolute', right: 8, bottom: 8, fontSize: 10, fontWeight: 800, borderRadius: 999, padding: '1px 6px', opacity: 0.9 }}>{shape.props.contextType}</span>}
</div> </div>
</HTMLContainer> </HTMLContainer>
) )
@@ -172,7 +279,7 @@ function defaultProps(kind: ExamCanvasShapeKind, w: number, h: number) {
return { w, h, label: p.label, kind, responseForm: kind === 'response' ? 'lines' : undefined, contextType: kind === 'context' ? 'generic' : undefined, source: 'manual' as const, confirmed: true } return { w, h, label: p.label, kind, responseForm: kind === 'response' ? 'lines' : undefined, contextType: kind === 'context' ? 'generic' : undefined, source: 'manual' as const, confirmed: true }
} }
const sharedProps = { w: T.number, h: T.number, label: T.string, kind: T.string, maxMarks: T.optional(T.number), responseForm: T.optional(T.string), contextType: T.optional(T.string), questionId: T.optional(T.string), domainId: T.optional(T.string), source: T.optional(T.string), confirmed: T.optional(T.boolean), confidence: T.optional(T.number), derivation: T.optional(T.string), reviewFlags: T.optional(T.string) } const sharedProps = { w: T.number, h: T.number, label: T.string, kind: T.string, maxMarks: T.optional(T.number), responseForm: T.optional(T.string), contextType: T.optional(T.string), questionId: T.optional(T.string), parentId: T.optional(T.string), isContainer: T.optional(T.boolean), depth: T.optional(T.number), description: T.optional(T.string), linkLabel: T.optional(T.string), metaJson: T.optional(T.string), domainId: T.optional(T.string), source: T.optional(T.string), confirmed: T.optional(T.boolean), confidence: T.optional(T.number), derivation: T.optional(T.string), reviewFlags: T.optional(T.string) }
const ind = (s: ExamCanvasTLShape | ExamPdfPageTLShape) => <rect width={toDomPrecision(s.props.w)} height={toDomPrecision(s.props.h)} /> const ind = (s: ExamCanvasTLShape | ExamPdfPageTLShape) => <rect width={toDomPrecision(s.props.w)} height={toDomPrecision(s.props.h)} />
class PdfPageUtil extends BaseBoxShapeUtil<ExamPdfPageTLShape> { class PdfPageUtil extends BaseBoxShapeUtil<ExamPdfPageTLShape> {
+7
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@@ -15,6 +15,7 @@ import type {
AutoMapResponse, AutoMapResponse,
BankResponse, BankResponse,
CorpusResponse, CorpusResponse,
DigitalTextResponse,
BatchQueueResponse, BatchQueueResponse,
BatchResultsResponse, BatchResultsResponse,
CreateBatchPayload, CreateBatchPayload,
@@ -164,6 +165,12 @@ export const examRepository = {
return res.data.templates ?? []; return res.data.templates ?? [];
}, },
async getDigitalText(templateId: string): Promise<DigitalTextResponse> {
const headers = await authHeaders();
const res = await axios.get<DigitalTextResponse>(`${EXAM_BASE}/templates/${templateId}/digital-text`, { headers });
return res.data;
},
async getTemplate(templateId: string): Promise<ExamTemplateDetail> { async getTemplate(templateId: string): Promise<ExamTemplateDetail> {
const headers = await authHeaders(); const headers = await authHeaders();
const res = await axios.get<ExamTemplateDetail>(`${EXAM_BASE}/templates/${templateId}`, { headers }); const res = await axios.get<ExamTemplateDetail>(`${EXAM_BASE}/templates/${templateId}`, { headers });
+17
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@@ -91,6 +91,10 @@ export interface ExamQuestion {
spec_ref: string | null; spec_ref: string | null;
bounds?: Record<string, number> | null; bounds?: Record<string, number> | null;
page?: number | null; page?: number | null;
/** Analyse contract v2 (migration 78): primary command verb for a leaf part. */
command_word?: string | null;
/** Analyse contract v2 (migration 78): stem prose for the outline view. */
preamble?: Record<string, unknown> | null;
source: ExamTemplateSource; source: ExamTemplateSource;
confirmed: boolean; confirmed: boolean;
confidence: number | null; confidence: number | null;
@@ -116,6 +120,8 @@ export interface ExamResponseArea {
kind: ExamResponseAreaKind; kind: ExamResponseAreaKind;
response_form: string | null; response_form: string | null;
context_type?: string | null; context_type?: string | null;
/** Rich recognition payload (migration 75): figure name/description, OMR box geometry, unit/quantity, table… */
meta?: Record<string, unknown> | null;
source: ExamTemplateSource; source: ExamTemplateSource;
confirmed: boolean; confirmed: boolean;
confidence: number | null; confidence: number | null;
@@ -197,6 +203,7 @@ export interface TemplateReplacePayload {
kind: ExamResponseArea['kind']; kind: ExamResponseArea['kind'];
response_form?: string | null; response_form?: string | null;
context_type?: string | null; context_type?: string | null;
meta?: Record<string, unknown> | null;
source?: 'manual' | 'ai'; source?: 'manual' | 'ai';
confirmed?: boolean; confirmed?: boolean;
confidence?: number | null; confidence?: number | null;
@@ -396,3 +403,13 @@ export interface CorpusResponse {
totals: { specs: number; papers: number; sessions: number; QP: number; MS: number; ER: number }; totals: { specs: number; papers: number; sessions: number; QP: number; MS: number; ER: number };
boards: CorpusBoard[]; boards: CorpusBoard[];
} }
// ── Digital-replica markdown (P4) ─────────────────────────────────────────────
export interface DigitalTextResponse {
slug: string;
title: string;
n_questions: number;
total_marks: number;
markdown: string;
questions: { label: string; marks: number | null; markdown: string }[];
}
+31
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@@ -104,6 +104,37 @@ describe('exam setup canvas serialization', () => {
expect(payload.response_areas[0].question_id).toBe(part?.id) // falls back to the part, not lost expect(payload.response_areas[0].question_id).toBe(part?.id) // falls back to the part, not lost
}) })
it('preserves a 3-deep question → part → subpart chain across a round-trip save', () => {
const Q = '11111111-1111-4111-8111-111111111111' // container, depth 0
const P = '22222222-2222-4222-8222-222222222222' // container part, depth 1
const S = '33333333-3333-4333-8333-333333333333' // leaf subpart, depth 2
const detail: ExamTemplateDetail = {
...template,
questions: [
{ id: Q, template_id: 'tpl-1', parent_id: null, label: 'Q1', order: 0, max_marks: 6, answer_type: null, mcq_options: null, mark_scheme: {}, is_container: true, spec_ref: null, bounds: { x: 40, y: 80, w: 700, h: 600 }, page: 1, source: 'ai', confirmed: false, confidence: 0.9, derivation: 'svc' },
{ id: P, template_id: 'tpl-1', parent_id: Q, label: 'Q1(a)', order: 1, max_marks: 6, answer_type: null, mcq_options: null, mark_scheme: {}, is_container: true, spec_ref: null, bounds: { x: 60, y: 120, w: 660, h: 500 }, page: 1, source: 'ai', confirmed: false, confidence: 0.9, derivation: 'svc' },
{ id: S, template_id: 'tpl-1', parent_id: P, label: 'Q1(a)(i)', order: 2, max_marks: 3, answer_type: 'written', mcq_options: null, mark_scheme: {}, is_container: false, spec_ref: null, bounds: { x: 80, y: 160, w: 620, h: 200 }, page: 1, source: 'ai', confirmed: false, confidence: 0.9, derivation: 'svc' },
],
response_areas: [],
boundaries: [],
}
const shapes = shapesFromTemplate(detail)
// all three tiers are drawn (containers are no longer skipped), with depth + container flags
expect(shapes.filter((s) => s.kind === 'part')).toHaveLength(3)
expect(shapes.find((s) => s.id === S)).toMatchObject({ isContainer: false, depth: 2, parentId: P })
expect(shapes.find((s) => s.id === Q)).toMatchObject({ isContainer: true, depth: 0 })
const payload = serializeCanvasShapes(template, shapes)
const byId = new Map(payload.questions.map((q) => [q.id, q]))
expect(payload.questions).toHaveLength(3)
expect(byId.get(Q)?.parent_id ?? null).toBeNull()
expect(byId.get(P)?.parent_id).toBe(Q) // middle tier survives — not flattened away
expect(byId.get(S)?.parent_id).toBe(P) // 3-deep chain intact
expect(byId.get(Q)?.is_container).toBe(true)
expect(byId.get(S)?.is_container).toBe(false)
expect(byId.get(S)?.max_marks).toBe(3)
})
it('respects a region persisted question over geometric nearest when no part contains it', () => { it('respects a region persisted question over geometric nearest when no part contains it', () => {
const A = '11111111-1111-4111-8111-111111111111' const A = '11111111-1111-4111-8111-111111111111'
const B = '22222222-2222-4222-8222-222222222222' const B = '22222222-2222-4222-8222-222222222222'
+95 -17
View File
@@ -26,6 +26,19 @@ export interface ExamCanvasShapeModel {
responseForm?: 'lines' | 'answer-box' | 'working' | 'diagram' | 'tick-boxes' | 'table' | 'blanks' responseForm?: 'lines' | 'answer-box' | 'working' | 'diagram' | 'tick-boxes' | 'table' | 'blanks'
contextType?: string contextType?: string
questionId?: string | null questionId?: string | null
/** Tree parent (container question) id — preserved across a round-trip so N-deep structure survives a save. */
parentId?: string | null
/** True for a container question (main question / intermediate part) drawn as a nesting box. */
isContainer?: boolean
/** 0 = main question, 1 = part, 2 = subpart … drives nesting styling. */
depth?: number
/** Figure/table caption for a context region (shown as a tooltip). */
description?: string
/** Label of the owning question, for a context region's visible tether pill. */
linkLabel?: string
/** Rich recognition detail (exam_response_areas.meta): answer components, MC option boxes, final-answer
* line unit/quantity, figure name/description. Carried through so the canvas can draw sub-structure. */
meta?: Record<string, unknown> | null
source?: ExamTemplateSource source?: ExamTemplateSource
confirmed?: boolean confirmed?: boolean
confidence?: number | null confidence?: number | null
@@ -118,34 +131,69 @@ export function serializeCanvasShapes(template: ExamTemplateDetail, shapes: Exam
const orderedBoundaries = shapes const orderedBoundaries = shapes
.filter((s) => s.kind === 'boundary') .filter((s) => s.kind === 'boundary')
.sort((a, b) => (pageForShape(a, pages) - pageForShape(b, pages)) || (a.y - b.y)) .sort((a, b) => (pageForShape(a, pages) - pageForShape(b, pages)) || (a.y - b.y))
const parts = shapes.filter((s) => s.kind === 'part') // 'part' shapes carry the whole question tree: containers (isContainer) + leaf parts/subparts. They are the
// authoritative structure — the boundary-pair synthesis below is only a fallback for the manual workflow.
const structural = shapes.filter((s) => s.kind === 'part')
const containerShapes = structural.filter((s) => s.isContainer)
const regions = shapes.filter((s) => s.kind !== 'boundary' && s.kind !== 'part') const regions = shapes.filter((s) => s.kind !== 'boundary' && s.kind !== 'part')
const questions: TemplateReplacePayload['questions'] = [] const questions: TemplateReplacePayload['questions'] = []
const boundaries: TemplateReplacePayload['boundaries'] = [] const boundaries: TemplateReplacePayload['boundaries'] = []
const bands: Array<{ questionId: string; top: ExamCanvasShapeModel; bottom: ExamCanvasShapeModel }> = [] const bands: Array<{ questionId: string; top: ExamCanvasShapeModel; bottom: ExamCanvasShapeModel }> = []
// Stable question id per structural shape — prefer the persisted domain id so a re-save keeps join keys.
const idOf = new Map<string, string>()
for (const s of structural) idOf.set(s.id, isUuid(s.questionId) ? (s.questionId as string) : isUuid(s.id) ? s.id : newDomainId())
const emittedIds = new Set<string>(idOf.values())
// Boundary pairs: attach each pair to the container shape it spans (AI/structured path), else SYNTHESIZE a
// container question from the pair (pure manual authoring, no container box drawn). v1 always synthesized —
// which overwrote real containers and flattened the tree.
for (let i = 0; i < orderedBoundaries.length; i += 2) { for (let i = 0; i < orderedBoundaries.length; i += 2) {
const top = orderedBoundaries[i] const top = orderedBoundaries[i]
const bottom = orderedBoundaries[i + 1] const bottom = orderedBoundaries[i + 1]
if (!top || !bottom) break if (!top || !bottom) break
const qNum = bands.length + 1 const label = top.label?.replace(/\s+(start|end)$/i, '') || bottom.label?.replace(/\s+(start|end)$/i, '') || `Q${bands.length + 1}`
const questionId = isUuid(top.questionId) ? top.questionId : isUuid(bottom.questionId) ? bottom.questionId : newDomainId() // A container box whose vertical extent spans this start/end pair owns the boundary (structured path);
const label = top.label?.replace(/\s+(start|end)$/i, '') || bottom.label?.replace(/\s+(start|end)$/i, '') || `Q${qNum}` // otherwise the pair itself defines a container (manual path).
questions.push({ id: questionId, label, order: qNum - 1, max_marks: 0, is_container: true, mark_scheme: {}, source: persistedSource(top), confirmed: persistedConfirmed(top), confidence: persistedConfidence(top), derivation: persistedDerivation(top) }) const pairTop = Math.min(top.y, bottom.y)
const pairBottom = Math.max(top.y, bottom.y)
const cover = containerShapes.find((c) => c.y <= pairTop + 4 && c.y + c.h >= pairBottom - 4)
let questionId: string
if (cover) {
questionId = idOf.get(cover.id) as string
} else {
questionId = isUuid(top.questionId) ? (top.questionId as string) : isUuid(bottom.questionId) ? (bottom.questionId as string) : newDomainId()
questions.push({ id: questionId, label, order: questions.length, max_marks: 0, is_container: true, mark_scheme: {}, source: persistedSource(top), confirmed: persistedConfirmed(top), confidence: persistedConfidence(top), derivation: persistedDerivation(top) })
emittedIds.add(questionId)
}
bands.push({ questionId, top, bottom }) bands.push({ questionId, top, bottom })
for (const b of [top, bottom]) { for (const b of [top, bottom]) {
boundaries.push({ id: isUuid(b.id) ? b.id : newDomainId(), question_id: questionId, label: b === top ? `${label} start` : `${label} end`, page_index: pageForShape(b, pages) - 1, y: b.y, bounds: boundaryBounds(b, pages), source: persistedSource(b), confirmed: persistedConfirmed(b), confidence: persistedConfidence(b), derivation: persistedDerivation(b) }) boundaries.push({ id: isUuid(b.id) ? b.id : newDomainId(), question_id: questionId, label: b === top ? `${label} start` : `${label} end`, page_index: pageForShape(b, pages) - 1, y: b.y, bounds: boundaryBounds(b, pages), source: persistedSource(b), confirmed: persistedConfirmed(b), confidence: persistedConfidence(b), derivation: persistedDerivation(b) })
} }
} }
// Resolve a structural shape's parent: the persisted parent (if still emitted) wins — this is what keeps a
// 3-deep subpart→part→question chain intact across a save. Manually-drawn shapes with no persisted parent
// fall back to geometry: the deepest container box that contains them, else the boundary band around them.
const resolveParent = (s: ExamCanvasShapeModel): string | null => {
if (isUuid(s.parentId) && emittedIds.has(s.parentId as string)) return s.parentId as string
const containing = containerShapes
.filter((c) => c.id !== s.id && contains(bounds(c), bounds(s)))
.sort((a, b) => (b.depth ?? 0) - (a.depth ?? 0) || (a.w * a.h) - (b.w * b.h))
if (containing.length) return idOf.get(containing[0].id) ?? null
const band = bands.find((bd) => bandContains(bd.top, bd.bottom, s))
return band?.questionId ?? null
}
const partQuestionIds = new Map<string, string>() const partQuestionIds = new Map<string, string>()
parts.sort((a, b) => (a.y - b.y) || (a.x - b.x)).forEach((part, index) => { const structuralSorted = [...structural].sort((a, b) => (a.depth ?? 0) - (b.depth ?? 0) || (a.y - b.y) || (a.x - b.x))
const parentBand = bands.find((band) => bandContains(band.top, band.bottom, part)) structuralSorted.forEach((part, index) => {
const qid = isUuid(part.questionId) ? part.questionId : isUuid(part.id) ? part.id : newDomainId() const qid = idOf.get(part.id) as string
partQuestionIds.set(part.id, qid) partQuestionIds.set(part.id, qid)
questions.push({ id: qid, parent_id: parentBand?.questionId ?? null, label: part.label || `Part ${index + 1}`, order: index, max_marks: Number(part.maxMarks ?? 0), answer_type: part.answerType ?? 'written', mcq_options: null, mark_scheme: {}, is_container: false, spec_ref: null, bounds: bounds(part), page: pageForShape(part, pages), source: persistedSource(part), confirmed: persistedConfirmed(part), confidence: persistedConfidence(part), derivation: persistedDerivation(part) }) questions.push({ id: qid, parent_id: resolveParent(part), label: part.label || (part.isContainer ? `Q${index + 1}` : `Part ${index + 1}`), order: index, max_marks: Number(part.maxMarks ?? 0), answer_type: part.isContainer ? null : (part.answerType ?? 'written'), mcq_options: null, mark_scheme: {}, is_container: !!part.isContainer, spec_ref: null, bounds: bounds(part), page: pageForShape(part, pages), source: persistedSource(part), confirmed: persistedConfirmed(part), confidence: persistedConfidence(part), derivation: persistedDerivation(part) })
}) })
const parts = structural
// Resolve each region's owner question. Order: current geometric containment (a user who drags a // Resolve each region's owner question. Order: current geometric containment (a user who drags a
// region into a part re-attaches it) → the PERSISTED attachment if it still points at a saved // region into a part re-attaches it) → the PERSISTED attachment if it still points at a saved
@@ -154,18 +202,31 @@ export function serializeCanvasShapes(template: ExamTemplateDetail, shapes: Exam
// never silently drop a region while any question exists (only a template with zero questions can). // never silently drop a region while any question exists (only a template with zero questions can).
const questionIds = new Set(questions.map((q) => q.id)) const questionIds = new Set(questions.map((q) => q.id))
const response_areas: TemplateReplacePayload['response_areas'] = [] const response_areas: TemplateReplacePayload['response_areas'] = []
// Prefer the DEEPEST (smallest) containing structural box so a region lands on its leaf part, not the
// enclosing container. Leaf parts win over containers at equal containment.
const deepestContainer = (region: ExamCanvasShapeModel): ExamCanvasShapeModel | undefined =>
parts
.filter((part) => part.id !== region.id && contains(bounds(part), bounds(region)))
.sort((a, b) => Number(!!a.isContainer) - Number(!!b.isContainer) || (a.w * a.h) - (b.w * b.h))[0]
for (const region of regions) { for (const region of regions) {
const containingPart = parts.find((part) => contains(bounds(part), bounds(region))) const containingPart = deepestContainer(region)
const persisted = isUuid(region.questionId) && questionIds.has(region.questionId) ? region.questionId : undefined const persisted = isUuid(region.questionId) && questionIds.has(region.questionId) ? region.questionId : undefined
const nearestPart = parts.find((part) => pageForShape(part, pages) === pageForShape(region, pages)) ?? parts[0] const nearestLeaf = parts.filter((p) => !p.isContainer).find((part) => pageForShape(part, pages) === pageForShape(region, pages)) ?? parts.find((p) => !p.isContainer) ?? parts[0]
const questionId = const questionId =
(containingPart && partQuestionIds.get(containingPart.id)) (containingPart && partQuestionIds.get(containingPart.id))
|| persisted || persisted
|| (nearestPart && partQuestionIds.get(nearestPart.id)) || (nearestLeaf && partQuestionIds.get(nearestLeaf.id))
|| questions[0]?.id || questions[0]?.id
if (!questionId) continue if (!questionId) continue
const kind = region.kind as ExamCanvasRegionKind const kind = region.kind as ExamCanvasRegionKind
response_areas.push({ id: isUuid(region.id) ? region.id : newDomainId(), question_id: questionId, page: pageForShape(region, pages), bounds: bounds(region), kind, response_form: kind === 'response' ? (region.responseForm ?? 'lines') : null, context_type: kind === 'context' ? (region.contextType ?? 'generic') : null, source: persistedSource(region), confirmed: persistedConfirmed(region), confidence: persistedConfidence(region), mark_subtype: null, derivation: persistedDerivation(region) }) // Carry rich recognition detail through the save so it survives a round-trip (the replace endpoint
// persists exam_response_areas.meta): answer components / MC boxes / final-answer for responses, and the
// figure name + caption for context regions.
const carried = (region.meta && typeof region.meta === 'object') ? region.meta as Record<string, unknown> : undefined
const meta = kind === 'context' && (region.label || region.description)
? { ...(carried ?? {}), name: region.label || carried?.name, description: region.description || carried?.description }
: carried
response_areas.push({ id: isUuid(region.id) ? region.id : newDomainId(), question_id: questionId, page: pageForShape(region, pages), bounds: bounds(region), kind, response_form: kind === 'response' ? (region.responseForm ?? 'lines') : null, context_type: kind === 'context' ? (region.contextType ?? 'generic') : null, meta, source: persistedSource(region), confirmed: persistedConfirmed(region), confidence: persistedConfidence(region), mark_subtype: null, derivation: persistedDerivation(region) })
} }
return { meta: { title: template.title, subject: template.subject ?? undefined, page_count: template.page_count ?? undefined, status: template.status }, questions, response_areas, boundaries, layout: template.layout ?? [] } return { meta: { title: template.title, subject: template.subject ?? undefined, page_count: template.page_count ?? undefined, status: template.status }, questions, response_areas, boundaries, layout: template.layout ?? [] }
@@ -174,20 +235,35 @@ export function serializeCanvasShapes(template: ExamTemplateDetail, shapes: Exam
export function shapesFromTemplate(detail: ExamTemplateDetail, pages?: CanvasPageGeometry[]): ExamCanvasShapeModel[] { export function shapesFromTemplate(detail: ExamTemplateDetail, pages?: CanvasPageGeometry[]): ExamCanvasShapeModel[] {
const shapes: ExamCanvasShapeModel[] = [] const shapes: ExamCanvasShapeModel[] = []
const questions = new Map(detail.questions.map((q) => [q.id, q])) const questions = new Map(detail.questions.map((q) => [q.id, q]))
const depthOf = (id: string | null | undefined, guard = 0): number => {
const q = id ? questions.get(id) : undefined
return !q || !q.parent_id || guard > 8 ? 0 : 1 + depthOf(q.parent_id, guard + 1)
}
for (const b of detail.boundaries ?? []) { for (const b of detail.boundaries ?? []) {
const page = pageGeometry((b.page_index ?? 0) + 1, pages) const page = pageGeometry((b.page_index ?? 0) + 1, pages)
// Boundary rows are y-lines. The old bounds rect is vestigial: keep y/domain ids, // Boundary rows are y-lines. The old bounds rect is vestigial: keep y/domain ids,
// but render and save a full rendered-page-width horizontal rule. // but render and save a full rendered-page-width horizontal rule.
shapes.push({ id: b.id, kind: 'boundary', x: page.x, y: Number(b.y), w: page.w, h: 8, label: b.label ?? undefined, questionId: b.question_id, source: b.source, confirmed: b.confirmed, confidence: b.confidence, derivation: b.derivation }) shapes.push({ id: b.id, kind: 'boundary', x: page.x, y: Number(b.y), w: page.w, h: 8, label: b.label ?? undefined, questionId: b.question_id, source: b.source, confirmed: b.confirmed, confidence: b.confidence, derivation: b.derivation })
} }
// Draw the WHOLE tree that has geometry: containers (main questions / intermediate parts) AND leaf parts,
// each carrying its parent id + depth so nesting renders and a save preserves the N-deep chain. A question
// with no bounds still can't be drawn (legacy data) — it falls back to boundary-band synthesis on save.
for (const q of detail.questions ?? []) { for (const q of detail.questions ?? []) {
if (q.is_container || !q.bounds) continue if (!q.bounds) continue
shapes.push({ id: q.id, kind: 'part', x: Number(q.bounds.x ?? 80), y: Number(q.bounds.y ?? 120), w: Number(q.bounds.w ?? 420), h: Number(q.bounds.h ?? 180), label: q.label, maxMarks: q.max_marks, answerType: (q.answer_type as ExamCanvasShapeModel['answerType']) ?? 'written', questionId: q.id, source: q.source, confirmed: q.confirmed, confidence: q.confidence, derivation: q.derivation }) shapes.push({ id: q.id, kind: 'part', x: Number(q.bounds.x ?? 80), y: Number(q.bounds.y ?? 120), w: Number(q.bounds.w ?? 420), h: Number(q.bounds.h ?? 180), label: q.label, maxMarks: q.max_marks, answerType: q.is_container ? undefined : ((q.answer_type as ExamCanvasShapeModel['answerType']) ?? 'written'), questionId: q.id, parentId: q.parent_id, isContainer: q.is_container, depth: depthOf(q.id), source: q.source, confirmed: q.confirmed, confidence: q.confidence, derivation: q.derivation })
} }
for (const r of detail.response_areas ?? []) { for (const r of detail.response_areas ?? []) {
const bb = r.bounds ?? { x: 100, y: pageTop(r.page, pages) + 360, w: 360, h: 120 } const bb = r.bounds ?? { x: 100, y: pageTop(r.page, pages) + 360, w: 360, h: 120 }
const q = questions.get(r.question_id) const q = questions.get(r.question_id)
shapes.push({ id: r.id, kind: r.kind, x: Number(bb.x ?? 100), y: Number(bb.y ?? pageTop(r.page, pages) + 360), w: Number(bb.w ?? 360), h: Number(bb.h ?? 120), label: q ? `${q.label}` : r.kind, responseForm: (r.response_form as ExamCanvasShapeModel['responseForm']) ?? undefined, contextType: r.context_type ?? undefined, questionId: r.question_id, source: r.source, confirmed: r.confirmed, confidence: r.confidence, derivation: r.derivation }) const meta = ((r as { meta?: Record<string, unknown> }).meta) ?? {}
const name = typeof meta.name === 'string' ? meta.name : undefined
const description = typeof meta.description === 'string' ? meta.description : undefined
// A context region is NAMED by its figure/table (was an anonymous purple box). Response/other regions keep
// the "→ owning question" label so their link is legible.
const label = r.kind === 'context'
? (name || (r.context_type && r.context_type !== 'generic' ? r.context_type : 'Context'))
: (q ? `${q.label}` : r.kind)
shapes.push({ id: r.id, kind: r.kind, x: Number(bb.x ?? 100), y: Number(bb.y ?? pageTop(r.page, pages) + 360), w: Number(bb.w ?? 360), h: Number(bb.h ?? 120), label, description, linkLabel: q?.label, meta: (r as { meta?: Record<string, unknown> }).meta ?? undefined, responseForm: (r.response_form as ExamCanvasShapeModel['responseForm']) ?? undefined, contextType: r.context_type ?? undefined, questionId: r.question_id, source: r.source, confirmed: r.confirmed, confidence: r.confidence, derivation: r.derivation })
} }
return addCheapReviewFlags(shapes, pages) return addCheapReviewFlags(shapes, pages)
} }
@@ -212,7 +288,9 @@ function addCheapReviewFlags(shapes: ExamCanvasShapeModel[], pages?: CanvasPageG
if (typeof shape.confidence === 'number' && shape.confidence < 0.7) flags.push('low confidence') if (typeof shape.confidence === 'number' && shape.confidence < 0.7) flags.push('low confidence')
if ((shape.kind === 'part' || shape.kind === 'question_number') && looksUncertainLabel(shape.label)) flags.push('uncertain question label') if ((shape.kind === 'part' || shape.kind === 'question_number') && looksUncertainLabel(shape.label)) flags.push('uncertain question label')
if (shape.kind === 'part' && (!shape.maxMarks || shape.maxMarks <= 0) && !markAreasByQuestion.has(shape.questionId ?? shape.id)) flags.push('missing marks') if (shape.kind === 'part' && (!shape.maxMarks || shape.maxMarks <= 0) && !markAreasByQuestion.has(shape.questionId ?? shape.id)) flags.push('missing marks')
const samePageOverlap = shapes.some((other, otherIndex) => otherIndex !== index && shape.kind !== 'boundary' && other.kind !== 'boundary' && pageForShape(shape, pages) === pageForShape(other, pages) && overlaps(shape, other) && (shape.kind === other.kind || (!contains(bounds(shape), bounds(other)) && !contains(bounds(other), bounds(shape))))) // Containers are MEANT to enclose their children, so never flag them (or their children) for overlap;
// flag only genuine partial overlaps between non-container shapes where neither contains the other.
const samePageOverlap = !shape.isContainer && shape.kind !== 'boundary' && shapes.some((other, otherIndex) => otherIndex !== index && !other.isContainer && other.kind !== 'boundary' && pageForShape(shape, pages) === pageForShape(other, pages) && overlaps(shape, other) && !contains(bounds(shape), bounds(other)) && !contains(bounds(other), bounds(shape)))
if (samePageOverlap) flags.push('overlapping shapes') if (samePageOverlap) flags.push('overlapping shapes')
return flags.length ? { ...shape, reviewFlags: flags } : shape return flags.length ? { ...shape, reviewFlags: flags } : shape
}) })
@@ -192,7 +192,7 @@ const LLMConfigModal: React.FC<{ isOpen: boolean; onClose: () => void }> = ({ is
value={form.model} value={form.model}
onChange={(e) => setForm({ ...form, model: e.target.value })} onChange={(e) => setForm({ ...form, model: e.target.value })}
placeholder={ placeholder={
form.provider === 'ollama' ? 'e.g. gemma4:e4b, llama3.2' : form.provider === 'ollama' ? 'e.g. gemma4:e4b-131k, llama3.2' :
form.provider === 'anthropic' ? 'e.g. claude-sonnet-4-6' : form.provider === 'anthropic' ? 'e.g. claude-sonnet-4-6' :
form.provider === 'google' ? 'e.g. gemini-2.0-flash' : form.provider === 'google' ? 'e.g. gemini-2.0-flash' :
'e.g. gpt-4o, gpt-4o-mini' 'e.g. gpt-4o, gpt-4o-mini'