feat(control-station): present static occupancy qualification

This commit is contained in:
DCCONSTRUCTIONS
2026-08-26 11:52:03 +03:00
parent 3c81c39a1c
commit 6290c75210
11 changed files with 461 additions and 6 deletions
@@ -44,6 +44,7 @@ import { M4ReplayThreatResultView } from "./M4ReplayThreatResult";
import { M47ReferenceGraphResultView } from "./M47ReferenceGraphResult";
import { M48ObjectCentricQualityResultView } from "./M48ObjectCentricQualityResult";
import { M48SmallStaticPassageRegressionResultView } from "./M48SmallStaticPassageRegressionResult";
import { M48StaticOccupancyQualificationResultView } from "./M48StaticOccupancyQualificationResult";
import { M48SFixedClassDetectorResultView } from "./M48SFixedClassDetectorResult";
import { M48TRiskQualityResultView } from "./M48TRiskQualityResult";
@@ -94,6 +95,9 @@ export function AdvancedLaboratoryResult({
if (workId === "m48-small-static-passage-regression" && results.m48SmallStatic) {
return <M48SmallStaticPassageRegressionResultView rigLabel={rigLabel} result={results.m48SmallStatic} />;
}
if (workId === "m48-static-occupancy-qualification" && results.m48StaticOccupancy) {
return <M48StaticOccupancyQualificationResultView rigLabel={rigLabel} result={results.m48StaticOccupancy} />;
}
if (workId === "m48s-fixed-class-detector" && results.m48s) {
return <M48SFixedClassDetectorResultView rigLabel={rigLabel} result={results.m48s} />;
}
@@ -0,0 +1,91 @@
import { useEffect, useMemo, useState } from "react";
import { Icon } from "@nodedc/ui-react";
import { fetchM47ReferenceGraphLab, type M47ReferenceGraphLabResult } from "../../core/laboratory/m47ReferenceGraph";
import {
fetchM48StaticOccupancyCases,
type M48StaticOccupancyCase,
type M48StaticOccupancyQualificationResult,
} from "../../core/laboratory/m48StaticOccupancyQualification";
import {
M4ReplayThreatVisual,
type M4ReplayThreatReviewAnchor,
} from "./M4ReplayThreatVisual";
function message(error: unknown): string {
return error instanceof Error && error.message.trim()
? error.message
: "Каноническое graph evidence M4.8R2 недоступно.";
}
export function M48StaticOccupancyQualificationEvidence({
result,
}: {
result: M48StaticOccupancyQualificationResult;
}) {
const [graph, setGraph] = useState<M47ReferenceGraphLabResult | null>(null);
const [cases, setCases] = useState<readonly M48StaticOccupancyCase[]>([]);
const [loading, setLoading] = useState(true);
const [error, setError] = useState<string | null>(null);
useEffect(() => {
const controller = new AbortController();
setLoading(true);
setError(null);
void Promise.all([
fetchM47ReferenceGraphLab({
resultId: result.referenceGraphLabResultId,
signal: controller.signal,
}),
fetchM48StaticOccupancyCases(result.resultId, { signal: controller.signal }),
])
.then(([nextGraph, nextCases]) => {
if (controller.signal.aborted) return;
if (nextCases.some((item) => item.sequence < 1 || item.sequence > nextGraph.frames.expected)) {
throw new Error("M4.8R2 anchor вышел за immutable timeline Canonical Reference Graph.");
}
setGraph(nextGraph);
setCases(nextCases);
})
.catch((caught: unknown) => {
if (!controller.signal.aborted) setError(message(caught));
})
.finally(() => {
if (!controller.signal.aborted) setLoading(false);
});
return () => controller.abort();
}, [result.referenceGraphLabResultId, result.resultId]);
const reviewAnchors = useMemo<readonly M4ReplayThreatReviewAnchor[]>(() => (
cases.map((item) => ({
id: item.anchorId,
sourceSequence: item.sequence - 1,
extentXyxyNormalized: item.extentXyxy,
matchedAtThreshold: item.candidateQualified,
}))
), [cases]);
if (loading) {
return (
<div className="l3-visual-audit__state" role="status">
<span className="busy-indicator" aria-hidden="true" />
<span>Открываем M4.7 graph и M4.8R2 static anchors</span>
</div>
);
}
if (error || !graph) {
return (
<div className="l3-visual-audit__state" role="alert">
<Icon name="alert" size={18} />
<span>{error ?? "Canonical Reference Graph не связан с M4.8R2."}</span>
</div>
);
}
return (
<M4ReplayThreatVisual
resultId={graph.visual.resultId}
semantic={{ resultId: graph.semantic.resultId, taxonomy: graph.semantic.taxonomy }}
reviewAnchors={reviewAnchors}
/>
);
}
@@ -0,0 +1,85 @@
import {
LaboratoryEvidence,
LaboratoryResultSummary,
LaboratorySummary,
LaboratoryWorkTemplate,
} from "../../components/laboratory/LaboratoryPresentation";
import type { M48StaticOccupancyQualificationResult } from "../../core/laboratory/m48StaticOccupancyQualification";
import { M48StaticOccupancyQualificationEvidence } from "./M48StaticOccupancyQualificationEvidence";
function percent(value: number): string {
return `${(value * 100).toLocaleString("ru-RU", { maximumFractionDigits: 1 })}%`;
}
export function M48StaticOccupancyQualificationResultView({
rigLabel,
result,
}: {
rigLabel: string;
result: M48StaticOccupancyQualificationResult;
}) {
const nearReady = result.decision.criticalNearCandidateReadyForShadow;
const status = nearReady
? "0–8 м: кандидат закрыл все assisted-якоря; готов к Worker shadow"
: "0–8 м: статическая occupancy ещё не закрыта";
return (
<LaboratoryWorkTemplate
summary={(
<LaboratorySummary
title="M4.8R2 · консервативная static occupancy"
description="RF-DETR не изменяется. Отдельный детерминированный прогон проверяет, удерживает ли current/rolling LiDAR низкие полусферы, столбы и другие безымянные ограничения, и оценивает уже вычисляемый CPU-признак low-step как additive occupied-only слой."
status={status}
statusTone={nearReady ? "success" : "warning"}
facts={[
{ label: "Конфигурация", value: `${rigLabel} RIGHT · Canonical Reference Graph · VIDEO/CAMERA/3D/PLAN/SEMANTICS` },
{ label: "Пайплайн", value: result.pipelineId },
{ label: "Прогон", value: `${result.runLabel} · immutable ${result.resultId}` },
{ label: "Нагрузка", value: "CPU-only geometry · 0 дополнительных detector inference" },
{ label: "Authority", value: "REPLAY-SIMULATED · free-space/commands/actuation OFF" },
]}
brief={{
question: "Не превратятся ли близкие полусферы, столбы и другие статические ограничения в пропуск только потому, что камера не знает их название?",
approach: `На ${result.metrics.operatorStaticAnchorCount} существующих operator-assisted static anchors принятую current/rolling occupancy сравнили с additive low-step evidence. Отдельно сохранены четыре канонических hemisphere-якоря кадров 1880/2584.`,
principalResult: `Принятый граф покрывает ${result.metrics.baselineQualifiedCount}/${result.metrics.operatorStaticAnchorCount}; additive кандидат — ${result.metrics.candidateQualifiedCount}/${result.metrics.operatorStaticAnchorCount}. В критической зоне 0–8 м: ${percent(result.metrics.criticalNearCandidateRecall)}.`,
limitation: "Это assisted diagnostic, а не independent truth. Кандидат пока не включён в Worker и может увеличить ложную занятость; требуются полный shadow-прогон, FPS и occupancy-volume gate.",
}}
method={{
completeness: "complete",
executionClass: "deterministic",
pipelineId: result.pipelineId,
components: [
{ kind: "source", name: result.referenceGraphLabResultId, version: "accepted M4.7", role: "immutable current/rolling occupied/unknown + threat graph", identitySha256: result.referenceGraphLabResultId.split("-").at(-1) ?? null },
{ kind: "source", name: result.smallStaticResultId, version: "M4.8R1 assisted seed", role: "static avoidance anchors · not independent truth", identitySha256: result.smallStaticResultId.split("-").at(-1) ?? null },
{ kind: "algorithm", name: "low-step occupied-only candidate", version: "v1", role: "additive CPU geometry; never clearing", identitySha256: result.resultId.split("-").at(-1) ?? null },
],
}}
/>
)}
evidence={(
<LaboratoryEvidence eyebrow="M4.8R2 VISUAL EVIDENCE · CANONICAL REFERENCE GRAPH" title="Те же CAMERA/3D/PLAN, 11 static anchors и неизменённый M4.7 timeline" kind="recorded-replay" resizable>
<M48StaticOccupancyQualificationEvidence result={result} />
</LaboratoryEvidence>
)}
result={(
<LaboratoryResultSummary
title="Что дал прогон: локализован лёгкий геометрический слой для близких препятствий"
status={status}
statusTone={nearReady ? "success" : "warning"}
metrics={[
{ label: "Current graph", value: `${result.metrics.baselineQualifiedCount}/${result.metrics.operatorStaticAnchorCount}`, hint: `${percent(result.metrics.criticalNearBaselineRecall)} в 0–8 м` },
{ label: "+ low-step candidate", value: `${result.metrics.candidateQualifiedCount}/${result.metrics.operatorStaticAnchorCount}`, hint: `${percent(result.metrics.criticalNearCandidateRecall)} в 0–8 м` },
{ label: "8–12 м", value: percent(result.metrics.approachCandidateRecall), hint: `${result.metrics.approachAnchorCount} assisted anchors · ещё не gate` },
{ label: "False free", value: result.metrics.falseFreeCount.toLocaleString("ru-RU"), hint: `${result.metrics.canonicalEngineeringAnchorCount}/${result.metrics.canonicalEngineeringAnchorCount} canonical anchors retained` },
]}
conclusion={{
proved: `На замороженном assisted seed additive low-step evidence поднял покрытие близких static anchors до ${percent(result.metrics.criticalNearCandidateRecall)} без дополнительной нейросети и без единого free-space утверждения.`,
notProved: "Не доказаны independent precision/recall, приемлемый рост консервативной occupancy, realtime Worker FPS после интеграции, физический clearance и collision safety.",
decision: nearReady
? "Интегрировать low-step только как occupied/unknown Worker shadow. Затем прогнать все 4 489 кадров и принять по FPS, росту компонентов, отсутствию capacity drops и повторному static-anchor gate."
: "Не интегрировать в Worker до исправления близких пропусков.",
}}
/>
)}
/>
);
}
@@ -77,6 +77,13 @@ const KNOWN_WORKS: Readonly<Record<Exclude<LaboratoryWorkId, `session:${string}`
experimentName: "M4.8 · small static passage regression",
variantName: "M4.8R1 · Worker 006 small-static assisted baseline",
},
"m48-static-occupancy-qualification": {
profileId: "rig-dual-evidence-virtual-corridor-v1",
profileName: (rigLabel) => `${rig(rigLabel)} RIGHT · Canonical Reference Graph`,
experimentId: "m48-static-occupancy-qualification",
experimentName: "M4.8 · conservative static occupancy qualification",
variantName: "M4.8R2 · current/rolling + low-step occupied-only candidate",
},
"m48s-fixed-class-detector": {
profileId: "rig-ravnoves-perception-gate-v1",
profileName: (rigLabel) => `${rig(rigLabel)} RIGHT · RAVNOVES00 perception gate`,
@@ -21,6 +21,7 @@ function mergeResults(
m47Graph: next.m47Graph ?? current.m47Graph,
m48: next.m48 ?? current.m48,
m48SmallStatic: next.m48SmallStatic ?? current.m48SmallStatic,
m48StaticOccupancy: next.m48StaticOccupancy ?? current.m48StaticOccupancy,
m48s: next.m48s ?? current.m48s,
m48t: next.m48t ?? current.m48t,
m4Threat: next.m4Threat ?? current.m4Threat,
@@ -120,6 +121,7 @@ export function useAdvancedLaboratoryCatalog({
"m47-reference-graph-shadow",
"m48-object-centric-quality",
"m48-small-static-passage-regression",
"m48-static-occupancy-qualification",
].includes(selectedWorkId)
&& !indexedResultId
) return;