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* Visual Query Builder — an alternate, direct-manipulation front end for the
* metric-cube query API (/api/evaluations/query).
*
* Drag dimension chips from the tray into the "Group by" and "Filter" wells,
* pick filter values with visual chips, toggle metrics, and watch the live
* result preview (table + bars) update as you build. The generated request
* JSON is always visible, so the visual query stays auditable against the
* manual API.
*/
import { useCallback, useEffect, useMemo, useRef, useState } from 'react';
import Box from '@mui/material/Box';
import Chip from '@mui/material/Chip';
import Typography from '@mui/material/Typography';
import { GripVertical, X } from 'lucide-react';
import { DIM_NAMES, type DimName, type EvaluationQueryResponse, type MetricName } from '../../types/megaeval';
import { getDimensions, queryEvaluations } from '../../services/megaeval';
import { SectionCard, HBar, fmtPct, fmtInt } from '../../components/labeleval/shared';
import { InfoDot } from '../help/InfoTip';
import { PanelSkeleton, IllustratedEmpty } from '../visual/Feedback';
import DragList from '../visual/DragList';
import { tokens } from '../../theme';
const DIM_COLORS: Record<DimName, string> = {
class: '#66bb6a',
weather: '#4fc3f7',
lighting: '#f9a825',
road_type: '#ab47bc',
scenario: '#ff7043',
sensor: '#26c6da',
distance_band: '#9ccc65',
speed_band: '#ec407a',
occlusion: '#8a949e',
};
const METRIC_CHOICES: Array<{ name: MetricName; label: string; help: string; pct: boolean }> = [
{ name: 'recall', label: 'recall', help: 'TP / (TP+FN) — fraction of real objects labeled.', pct: true },
{ name: 'precision', label: 'precision', help: 'TP / (TP+FP) — fraction of produced labels that are correct.', pct: true },
{ name: 'f1', label: 'f1', help: 'Harmonic mean of precision and recall.', pct: true },
{ name: 'mean_iou', label: 'mean IoU', help: 'Mean 3D overlap of matched boxes.', pct: true },
{ name: 'safety_recall', label: 'safety recall', help: 'Recall restricted to safety-critical objects.', pct: true },
{ name: 'error_rate', label: 'error rate', help: '(FP+FN) / n.', pct: true },
{ name: 'anomaly_rate', label: 'anomaly rate', help: 'Fraction of objects flagged by the anomaly ensemble.', pct: true },
{ name: 'conf_mean', label: 'conf mean', help: 'Mean detection confidence.', pct: false },
];
type Well = 'group' | 'filter';
interface FilterClause {
dim: DimName;
values: string[];
}
interface VisualQueryTabProps {
runId: string;
}
export default function VisualQueryTab({ runId }: VisualQueryTabProps) {
const [dimValues, setDimValues] = useState<Record<string, string[]> | null>(null);
const [groupBy, setGroupBy] = useState<DimName[]>(['class']);
const [filters, setFilters] = useState<FilterClause[]>([]);
const [metrics, setMetrics] = useState<MetricName[]>(['recall', 'precision']);
const [result, setResult] = useState<EvaluationQueryResponse | null>(null);
const [loading, setLoading] = useState(false);
const [error, setError] = useState<string | null>(null);
const [dragOverWell, setDragOverWell] = useState<Well | null>(null);
const debounceRef = useRef<ReturnType<typeof setTimeout> | null>(null);
useEffect(() => {
getDimensions()
.then((d) => setDimValues(d.dimensions as Record<string, string[]>))
.catch((e) => setError(e instanceof Error ? e.message : String(e)));
}, []);
const request = useMemo(
() => ({
evaluation_id: runId,
group_by: groupBy,
filters: Object.fromEntries(filters.filter((f) => f.values.length).map((f) => [f.dim, f.values])),
metrics,
limit: 40,
}),
[runId, groupBy, filters, metrics]
);
// live preview: debounce 350 ms after any change
useEffect(() => {
if (debounceRef.current) clearTimeout(debounceRef.current);
setLoading(true);
debounceRef.current = setTimeout(() => {
queryEvaluations(request)
.then((r) => {
setResult(r);
setError(null);
})
.catch((e) => setError(e instanceof Error ? e.message : String(e)))
.finally(() => setLoading(false));
}, 350);
return () => {
if (debounceRef.current) clearTimeout(debounceRef.current);
};
}, [request]);
const dropDim = useCallback(
(well: Well, dim: DimName) => {
if (well === 'group') {
setGroupBy((g) => (g.includes(dim) ? g : [...g, dim]));
} else {
setFilters((fs) => (fs.some((f) => f.dim === dim) ? fs : [...fs, { dim, values: [] }]));
}
setDragOverWell(null);
},
[]
);
const wellProps = (well: Well) => ({
onDragOver: (e: React.DragEvent) => {
e.preventDefault();
setDragOverWell(well);
},
onDragLeave: () => setDragOverWell(null),
onDrop: (e: React.DragEvent) => {
e.preventDefault();
const dim = e.dataTransfer.getData('application/x-dim') as DimName;
if (dim && DIM_NAMES.includes(dim)) dropDim(well, dim);
},
});
const firstMetric = metrics[0];
const firstMetricMeta = METRIC_CHOICES.find((m) => m.name === firstMetric);
const rows = result?.rows ?? [];
const barMax = useMemo(() => {
if (!firstMetric) return 1;
const vals = rows.map((r) => (typeof r[firstMetric] === 'number' ? (r[firstMetric] as number) : 0));
return firstMetricMeta?.pct ? 1 : Math.max(1e-9, ...vals);
}, [rows, firstMetric, firstMetricMeta]);
const rowLabel = (r: Record<string, unknown>): string => groupBy.map((d) => String(r[d] ?? '—')).join(' · ') || 'all';
return (
<Box sx={{ display: 'flex', flexDirection: 'column', gap: 2 }}>
<SectionCard
title={
<Box component="span" sx={{ display: 'inline-flex', alignItems: 'center' }}>
Build the query visually
<InfoDot
title="Visual query builder"
detail="Drag a dimension chip into the Group-by well to break results down by it, or into the Filter well to restrict the population (then pick the allowed values). Toggle metrics below. The preview runs the real /api/evaluations/query request — shown as JSON on the right — after every change."
/>
</Box>
}
>
{/* dimension tray */}
<Box sx={{ display: 'flex', gap: 0.75, flexWrap: 'wrap', mb: 1.5, alignItems: 'center' }}>
<Typography variant="caption" sx={{ color: tokens.color.neutral }}>
Dimensions — drag into a well:
</Typography>
{DIM_NAMES.map((d) => (
<Chip
key={d}
size="small"
icon={<GripVertical size={12} />}
label={d.replace(/_/g, ' ')}
draggable
onDragStart={(e) => {
e.dataTransfer.setData('application/x-dim', d);
e.dataTransfer.effectAllowed = 'copy';
}}
onClick={() => dropDim('group', d)}
sx={{
cursor: 'grab',
bgcolor: `${DIM_COLORS[d]}1a`,
color: DIM_COLORS[d],
border: `1px solid ${DIM_COLORS[d]}55`,
fontWeight: 700,
'&:active': { cursor: 'grabbing' },
}}
/>
))}
</Box>
<Box sx={{ display: 'flex', gap: 1.5, flexWrap: 'wrap' }}>
{/* group-by well */}
<Box
{...wellProps('group')}
sx={{
flex: '1 1 260px',
minHeight: 74,
border: `2px dashed ${dragOverWell === 'group' ? tokens.color.info : tokens.color.borderStrong}`,
borderRadius: 1.5,
p: 1.25,
bgcolor: dragOverWell === 'group' ? tokens.color.infoBg : tokens.color.surfaceSunken,
transition: `border-color ${tokens.motion.fast}, background-color ${tokens.motion.fast}`,
}}
>
<Typography variant="caption" sx={{ color: tokens.color.neutral, fontWeight: 700, letterSpacing: 0.5, display: 'block', mb: 0.75 }}>
GROUP BY {groupBy.length ? `(${groupBy.length} — drag the handle to reorder)` : '— drop a dimension here'}
</Typography>
<DragList
dense
items={groupBy.map((d) => ({
id: d,
content: (
<Box sx={{ display: 'flex', alignItems: 'center', justifyContent: 'space-between' }}>
<Chip size="small" label={d.replace(/_/g, ' ')} sx={{ bgcolor: `${DIM_COLORS[d]}26`, color: DIM_COLORS[d], fontWeight: 700, height: 22 }} />
<Box
component="span"
onClick={() => setGroupBy((g) => g.filter((x) => x !== d))}
sx={{ display: 'inline-flex', cursor: 'pointer', color: tokens.color.textFaint, '&:hover': { color: tokens.color.danger } }}
title="Remove from group-by"
>
<X size={13} />
</Box>
</Box>
),
}))}
onReorder={(ids) => setGroupBy(ids as DimName[])}
/>
</Box>
{/* filter well */}
<Box
{...wellProps('filter')}
sx={{
flex: '2 1 380px',
minHeight: 74,
border: `2px dashed ${dragOverWell === 'filter' ? tokens.color.warn : tokens.color.borderStrong}`,
borderRadius: 1.5,
p: 1.25,
bgcolor: dragOverWell === 'filter' ? tokens.color.warnBg : tokens.color.surfaceSunken,
transition: `border-color ${tokens.motion.fast}, background-color ${tokens.motion.fast}`,
}}
>
<Typography variant="caption" sx={{ color: tokens.color.neutral, fontWeight: 700, letterSpacing: 0.5, display: 'block', mb: 0.75 }}>
FILTERS {filters.length ? `(${filters.length})` : '— drop a dimension here, then pick values'}
</Typography>
<Box sx={{ display: 'flex', flexDirection: 'column', gap: 0.75 }}>
{filters.map((f) => (
<Box key={f.dim} sx={{ display: 'flex', gap: 0.75, alignItems: 'center', flexWrap: 'wrap' }}>
<Chip size="small" label={f.dim.replace(/_/g, ' ')} sx={{ bgcolor: `${DIM_COLORS[f.dim]}26`, color: DIM_COLORS[f.dim], fontWeight: 700 }} />
<Typography variant="caption" sx={{ color: tokens.color.textFaint, fontStyle: 'italic' }}>
is any of
</Typography>
{(dimValues?.[f.dim] ?? []).map((v) => {
const on = f.values.includes(v);
return (
<Chip
key={v}
size="small"
label={v}
onClick={() =>
setFilters((fs) =>
fs.map((x) => (x.dim === f.dim ? { ...x, values: on ? x.values.filter((y) => y !== v) : [...x.values, v] } : x))
)
}
sx={{
height: 21,
fontSize: 10.5,
cursor: 'pointer',
bgcolor: on ? tokens.color.infoBg : 'transparent',
color: on ? tokens.color.info : tokens.color.textFaint,
border: `1px solid ${on ? tokens.color.info : tokens.color.border}`,
transition: `all ${tokens.motion.fast}`,
}}
/>
);
})}
<Box
component="span"
onClick={() => setFilters((fs) => fs.filter((x) => x.dim !== f.dim))}
sx={{ display: 'inline-flex', alignItems: 'center', cursor: 'pointer', color: tokens.color.textFaint, '&:hover': { color: tokens.color.danger } }}
title="Remove this filter"
>
<X size={13} />
</Box>
</Box>
))}
</Box>
</Box>
</Box>
{/* metric toggles */}
<Box sx={{ display: 'flex', gap: 0.75, flexWrap: 'wrap', mt: 1.5, alignItems: 'center' }}>
<Typography variant="caption" sx={{ color: tokens.color.neutral }}>
Metrics:
</Typography>
{METRIC_CHOICES.map((m) => {
const on = metrics.includes(m.name);
return (
<Chip
key={m.name}
size="small"
label={m.label}
title={m.help}
onClick={() => setMetrics((ms) => (on ? ms.filter((x) => x !== m.name) : [...ms, m.name]))}
sx={{
cursor: 'pointer',
bgcolor: on ? tokens.color.successBg : 'transparent',
color: on ? tokens.color.success : tokens.color.textFaint,
border: `1px solid ${on ? tokens.color.success : tokens.color.border}`,
fontWeight: on ? 700 : 400,
transition: `all ${tokens.motion.fast}`,
}}
/>
);
})}
</Box>
</SectionCard>
<Box sx={{ display: 'flex', gap: 2, flexWrap: 'wrap', alignItems: 'flex-start' }}>
<SectionCard
title="Live result preview"
sx={{ flex: '3 1 460px' }}
action={
result ? (
<Box sx={{ display: 'flex', gap: 0.5 }}>
<Chip size="small" label={result.meta.source} sx={{ height: 20, fontSize: 10, bgcolor: tokens.color.surfaceRaised, fontFamily: 'monospace' }} title="Query provenance: answered from cache, the metric cube, or a raw scan" />
<Chip size="small" label={`${result.meta.latency_ms.toFixed(0)} ms`} sx={{ height: 20, fontSize: 10, bgcolor: tokens.color.surfaceRaised, fontFamily: 'monospace' }} />
<Chip size="small" label={result.meta.exact ? 'exact' : 'approx'} sx={{ height: 20, fontSize: 10, fontFamily: 'monospace', bgcolor: result.meta.exact ? tokens.color.successBg : tokens.color.warnBg, color: result.meta.exact ? tokens.color.success : tokens.color.warn }} />
</Box>
) : undefined
}
>
{error ? (
<Typography variant="caption" sx={{ color: tokens.color.warn }}>
{error}
</Typography>
) : null}
{loading && !result ? <PanelSkeleton rows={5} header={false} /> : null}
{result && rows.length === 0 ? (
<IllustratedEmpty art="search" title="No matching population" message="The current filters exclude every object — loosen a filter value to see results." />
) : null}
{rows.length > 0 ? (
<Box sx={{ display: 'flex', flexDirection: 'column', gap: 1.5, opacity: loading ? 0.6 : 1, transition: `opacity ${tokens.motion.fast}` }}>
{firstMetric ? (
<Box>
<Typography variant="caption" sx={{ color: tokens.color.neutral, display: 'block', mb: 0.5 }}>
{firstMetricMeta?.label ?? firstMetric} by {groupBy.map((d) => d.replace(/_/g, ' ')).join(' × ') || 'population'}
</Typography>
{rows.slice(0, 14).map((r, i) => {
const v = typeof r[firstMetric] === 'number' ? (r[firstMetric] as number) : 0;
return (
<HBar
key={i}
label={rowLabel(r)}
value={v}
max={barMax}
color={tokens.color.info}
valueLabel={firstMetricMeta?.pct ? fmtPct(v) : v.toFixed(3)}
/>
);
})}
</Box>
) : null}
<Box sx={{ overflowX: 'auto' }}>
<Box component="table" sx={{ borderCollapse: 'collapse', width: '100%', '& td, & th': { border: `1px solid ${tokens.color.border}`, px: 1, py: 0.4, fontSize: 12, textAlign: 'right' }, '& th': { bgcolor: tokens.color.surfaceRaised, color: tokens.color.textDim }, '& td:first-of-type, & th:first-of-type': { textAlign: 'left' } }}>
<thead>
<tr>
<th>group</th>
<th>n</th>
{metrics.map((m) => (
<th key={m}>{m.replace(/_/g, ' ')}</th>
))}
</tr>
</thead>
<tbody>
{rows.slice(0, 20).map((r, i) => (
<tr key={i}>
<td style={{ fontFamily: 'monospace' }}>{rowLabel(r)}</td>
<td style={{ fontFamily: 'monospace' }}>{fmtInt(r.n)}</td>
{metrics.map((m) => {
const v = r[m];
const meta = METRIC_CHOICES.find((x) => x.name === m);
return (
<td key={m} style={{ fontFamily: 'monospace' }}>
{typeof v === 'number' ? (meta?.pct ? fmtPct(v) : v.toFixed(3)) : '—'}
</td>
);
})}
</tr>
))}
</tbody>
</Box>
</Box>
</Box>
) : null}
</SectionCard>
<SectionCard
title="Equivalent API request"
sx={{ flex: '1 1 280px' }}
help="The exact JSON body sent to POST /api/evaluations/query for the preview — build the same query manually and you will get the same rows."
>
<Box component="pre" sx={{ m: 0, p: 1, bgcolor: tokens.color.surfaceSunken, border: `1px solid ${tokens.color.border}`, borderRadius: 1, fontSize: 11, fontFamily: 'monospace', overflow: 'auto', maxHeight: 340, color: tokens.color.textDim }}>
{JSON.stringify(request, null, 2)}
</Box>
</SectionCard>
</Box>
</Box>
);
}
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