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* Evaluation Command Center — the aggregate-first landing page.
*
* Mental model surfaced in the UI:
* Dataset (population) → Evaluation Run → Population → Cohort → Container → Annotation
* Aggregates come first; individual annotations are the deepest drill-down.
*
* Runs are async: launched runs are queued, progress streams over SSE
* (stream.megaeval.active_runs) with a 1.5s polling fallback on GET /runs/{id},
* and the page auto-refreshes when the run publishes.
*/
import { useCallback, useEffect, useMemo, useRef, useState } from 'react';
import Alert from '@mui/material/Alert';
import Box from '@mui/material/Box';
import Tab from '@mui/material/Tab';
import Tabs from '@mui/material/Tabs';
import Typography from '@mui/material/Typography';
import type { EvaluationRunInfo, ReviewState, RunStatus } from '../types/megaeval';
import {
getCacheStats,
getPopulations,
getRun,
getRunReview,
getRuns,
} from '../services/megaeval';
import { usePoll } from '../services/labeleval';
import { useLabelEval } from '../context/LabelEvalContext';
import { EmptyState, ErrorNote, LoadingBox, SectionCard } from '../components/labeleval/shared';
import HeaderBar, {
GeneratePopulationButton,
NewRunButton,
} from '../components/megaeval/HeaderBar';
import RunProgressCard from '../components/megaeval/RunProgressCard';
import HeroRow from '../components/megaeval/HeroRow';
import QualityTab from '../components/megaeval/QualityTab';
import CohortTab from '../components/megaeval/CohortTab';
import ContainersTab from '../components/megaeval/ContainersTab';
import InvestigationTab from '../components/megaeval/InvestigationTab';
import CompareTab from '../components/megaeval/CompareTab';
import ReviewTab from '../components/megaeval/ReviewTab';
import ShiftTab from '../components/megaeval/ShiftTab';
import LineageCard from '../components/megaeval/LineageCard';
import VisualQueryTab from '../components/megaeval/VisualQueryTab';
const ACTIVE_STATUSES: RunStatus[] = ['created', 'queued', 'running', 'reducing', 'materializing'];
type TabId =
| 'quality'
| 'visual-query'
| 'cohorts'
| 'containers'
| 'investigation'
| 'compare'
| 'review'
| 'shift'
| 'lineage';
export default function CommandCenterPage() {
const { stream, entityId, navigate } = useLabelEval();
const populationsPoll = usePoll(getPopulations, 15000);
const runsPoll = usePoll(getRuns, 8000);
const cachePoll = usePoll(getCacheStats, 10000);
const populations = useMemo(() => {
const list = populationsPoll.data?.populations ?? [];
return [...list].sort((a, b) => (b.created_at ?? '').localeCompare(a.created_at ?? ''));
}, [populationsPoll.data]);
const runs = useMemo(() => runsPoll.data?.runs ?? [], [runsPoll.data]);
const [populationId, setPopulationId] = useState<string | null>(null);
const [runId, setRunId] = useState<string | null>(entityId);
const [baselineRunId, setBaselineRunId] = useState<string | null>(null);
const [tab, setTab] = useState<TabId>('quality');
const [drillContainerId, setDrillContainerId] = useState<number | null>(null);
const [publishTick, setPublishTick] = useState(0);
const [review, setReview] = useState<ReviewState | null>(null);
const [selectedRun, setSelectedRun] = useState<EvaluationRunInfo | null>(null);
const [runError, setRunError] = useState<string | null>(null);
// Explicit selection persists the run in the URL hash (#/command/<run_id>).
const selectRun = useCallback(
(id: string) => {
setRunId(id);
setDrillContainerId(null);
navigate('command', id);
},
[navigate]
);
// Follow hash changes (back/forward navigation, deep links).
useEffect(() => {
if (entityId && entityId !== runId) {
setRunId(entityId);
setDrillContainerId(null);
}
}, [entityId]); // eslint-disable-line react-hooks/exhaustive-deps
// Default selections once data arrives.
useEffect(() => {
if (!populationId && populations.length) setPopulationId(populations[0].population_id);
}, [populations, populationId]);
useEffect(() => {
if (!runId && runs.length) {
const byCreated = [...runs].sort((a, b) => (b.created_at ?? '').localeCompare(a.created_at ?? ''));
const pick = byCreated.find((r) => r.status === 'published') ?? byCreated[0];
if (pick) setRunId(pick.run_id);
}
}, [runs, runId]);
// Selected run detail: 1.5s polling while the run is in flight (SSE-independent fallback).
useEffect(() => {
setSelectedRun(null);
setRunError(null);
if (!runId) return;
let cancelled = false;
let timer: ReturnType<typeof setTimeout> | null = null;
const load = async () => {
try {
const info = await getRun(runId);
if (cancelled) return;
setSelectedRun(info);
setRunError(null);
if (info.status !== 'published' && info.status !== 'failed') timer = setTimeout(() => void load(), 1500);
} catch (err) {
if (cancelled) return;
setRunError(err instanceof Error ? err.message : String(err));
timer = setTimeout(() => void load(), 3000);
}
};
void load();
return () => {
cancelled = true;
if (timer) clearTimeout(timer);
};
}, [runId]);
// Auto-refresh all panels when the selected run publishes.
const prevStatusRef = useRef<RunStatus | null>(null);
const runsRefresh = runsPoll.refresh;
useEffect(() => {
const status = selectedRun?.status ?? null;
if (status === 'published' && prevStatusRef.current && prevStatusRef.current !== 'published') {
setPublishTick((t) => t + 1);
runsRefresh();
}
prevStatusRef.current = status;
}, [selectedRun?.status, runsRefresh]);
const published = selectedRun?.status === 'published';
// Review state (shared by the hero CI annotations and the Review tab).
useEffect(() => {
setReview(null);
if (!runId || !published) return;
let cancelled = false;
getRunReview(runId)
.then((r) => {
if (!cancelled) setReview(r);
})
.catch(() => undefined);
return () => {
cancelled = true;
};
}, [runId, published, publishTick]);
const megaStatus = stream?.megaeval ?? null;
const cache = megaStatus?.cache ?? cachePoll.data ?? null;
// Prefer SSE progress for the selected run when it is fresher than the poll.
const streamProgress = megaStatus?.active_runs.find((r) => r.run_id === runId) ?? null;
const selectedInFlight =
selectedRun && ACTIVE_STATUSES.includes(selectedRun.status) ? streamProgress ?? selectedRun : null;
const otherActiveRuns = (megaStatus?.active_runs ?? []).filter((r) => r.run_id !== runId);
const openContainer = useCallback((cid: number) => {
setDrillContainerId(cid);
setTab('containers');
}, []);
const initialLoading =
populationsPoll.loading && !populationsPoll.data && runsPoll.loading && !runsPoll.data;
const noPopulation = populationsPoll.data !== null && populations.length === 0;
const noRuns = !noPopulation && runsPoll.data !== null && runs.length === 0;
const onPopulationGenerated = useCallback(
(pop: { population_id: string }) => {
populationsPoll.refresh();
setPopulationId(pop.population_id);
},
[populationsPoll]
);
const onRunCreated = useCallback(
(run: EvaluationRunInfo) => {
runsRefresh();
selectRun(run.run_id);
},
[runsRefresh, selectRun]
);
if (initialLoading) return <LoadingBox label="Loading command center…" />;
return (
<Box sx={{ display: 'flex', flexDirection: 'column', gap: 2 }}>
{populationsPoll.error && !populationsPoll.data ? <ErrorNote error={populationsPoll.error} /> : null}
<HeaderBar
populations={populations}
populationId={populationId}
onPopulationChange={setPopulationId}
runs={runs}
runId={runId}
onRunChange={selectRun}
baselineRunId={baselineRunId}
onBaselineChange={setBaselineRunId}
selectedRun={selectedRun}
cache={cache}
onGenerated={onPopulationGenerated}
onRunCreated={onRunCreated}
/>
<Typography variant="caption" sx={{ color: '#8a949e', mt: -1 }}>
Dataset (population) → Evaluation run → Population → Cohort → Container → Annotation — aggregates first,
individual annotations only at the deepest drill-down.
</Typography>
{/* Empty states: nothing generated / no runs yet */}
{noPopulation ? (
<SectionCard title="Welcome to the Evaluation Command Center">
<EmptyState
title="No evaluation population yet"
message="Generate a synthetic mega-scale population (hundreds of thousands of annotated objects across weather, lighting, scenario and sensor cohorts), then launch an evaluation run against it."
action={
<Box sx={{ display: 'flex', gap: 1.5, justifyContent: 'center' }}>
<GeneratePopulationButton variant="contained" size="large" onGenerated={onPopulationGenerated} />
</Box>
}
/>
</SectionCard>
) : null}
{noRuns ? (
<SectionCard title="Population ready — no evaluation runs yet">
<EmptyState
title="Launch your first evaluation run"
message="An evaluation run scores every object in the population against a model version, then materializes the aggregate cube, error index and sketches that power this page."
action={
<Box sx={{ display: 'flex', gap: 1.5, justifyContent: 'center' }}>
<NewRunButton variant="contained" size="large" populationId={populationId} onCreated={onRunCreated} />
<GeneratePopulationButton variant="outlined" size="large" onGenerated={onPopulationGenerated} />
</Box>
}
/>
</SectionCard>
) : null}
{runError && !selectedRun ? <ErrorNote error={runError} /> : null}
{/* Live progress for the selected run + any other active runs */}
{selectedInFlight ? <RunProgressCard progress={selectedInFlight} /> : null}
{otherActiveRuns.map((r) => (
<RunProgressCard key={r.run_id} progress={r} />
))}
{selectedRun?.status === 'failed' ? (
<Alert severity="error" variant="outlined">
Run {selectedRun.run_id.slice(0, 8)} failed{selectedRun.error ? `: ${selectedRun.error}` : '.'} Launch a new
evaluation run from the header.
</Alert>
) : null}
{/* Hero aggregates + tab sections (published runs only) */}
{published && selectedRun ? (
<>
<HeroRow run={selectedRun} review={review} refreshKey={publishTick} />
<Tabs
value={tab}
onChange={(_, v: TabId) => setTab(v)}
variant="scrollable"
scrollButtons="auto"
sx={{
minHeight: 36,
borderBottom: '1px solid #232a31',
'& .MuiTab-root': { minHeight: 36, py: 0.5 },
}}
>
<Tab label="Quality" value="quality" title="Per-class quality, error distribution, quality funnel, run trend and sketch distributions" />
<Tab label="Query Builder" value="visual-query" title="Build metric-cube queries visually: drag dimensions into group-by / filter wells with a live result preview" />
<Tab label="Cohorts" value="cohorts" title="Drill the population by dimension (class, weather, lighting…) and run Why? decompositions" />
<Tab label="Containers" value="containers" title="Per-scene quality table with risk sort presets; drill into the forensic object table" />
<Tab label="Investigation" value="investigation" title="Multi-criteria search over the error index: worst containers and top examples" />
<Tab label="Compare" value="compare" title="Candidate vs baseline: headline and per-class deltas, cohort regressions, promotion verdict" />
<Tab label="Review" value="review" title="Statistical review sampling: plan, execute, and read precision/recall with confidence intervals" />
<Tab label="Shift" value="shift" title="Train-vs-eval cohort mix shifts annotated with recall impact" />
<Tab label="Lineage" value="lineage" title="Full reproducibility record: versions, config, seed" />
</Tabs>
{tab === 'quality' ? (
<QualityTab runId={selectedRun.run_id} runs={runs} refreshKey={publishTick} />
) : null}
{tab === 'visual-query' ? <VisualQueryTab runId={selectedRun.run_id} /> : null}
{tab === 'cohorts' ? <CohortTab runId={selectedRun.run_id} refreshKey={publishTick} /> : null}
{tab === 'containers' ? (
<ContainersTab
runId={selectedRun.run_id}
refreshKey={publishTick}
drillContainerId={drillContainerId}
onDrill={setDrillContainerId}
/>
) : null}
{tab === 'investigation' ? (
<InvestigationTab runId={selectedRun.run_id} onOpenContainer={openContainer} />
) : null}
{tab === 'compare' ? (
<CompareTab runId={selectedRun.run_id} baselineRunId={baselineRunId} refreshKey={publishTick} />
) : null}
{tab === 'review' ? (
<ReviewTab runId={selectedRun.run_id} review={review} onReview={setReview} />
) : null}
{tab === 'shift' ? <ShiftTab runId={selectedRun.run_id} refreshKey={publishTick} /> : null}
{tab === 'lineage' ? <LineageCard lineage={selectedRun.lineage} /> : null}
</>
) : null}
</Box>
);
}
|