feat(lab): separate evidence catalogs and record methods
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DCCONSTRUCTIONS
@@ -1204,6 +1204,117 @@ interface LaboratoryOption<T extends string> {
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label: string;
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}
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type LaboratoryExecutionClass = "deterministic" | "ai-inference" | "hybrid";
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type LaboratoryMethodCompleteness = "complete" | "legacy-partial";
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type LaboratoryEvidenceKind = "recorded-replay" | "diagnostic-model";
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interface LaboratoryMethodComponent {
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kind: "source" | "tool" | "model" | "algorithm" | "runtime";
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name: string;
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version: string;
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role: string;
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identitySha256: string | null;
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}
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interface LaboratoryMethod {
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completeness: LaboratoryMethodCompleteness;
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executionClass: LaboratoryExecutionClass;
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pipelineId: string;
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components: readonly LaboratoryMethodComponent[];
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}
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function digestFromContentId(value: string | null | undefined): string | null {
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const digest = value?.split("-").at(-1) ?? "";
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return /^[a-f0-9]{64}$/.test(digest) ? digest : null;
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}
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function publishedLaboratoryMethod(
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session: ObservationSessionSummary,
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): LaboratoryMethod {
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const method = session.lab?.provenance.method;
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if (method && typeof method === "object" && !Array.isArray(method)) {
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const value = method as Record<string, unknown>;
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const rawComponents = Array.isArray(value.components) ? value.components : [];
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const components: LaboratoryMethodComponent[] = rawComponents.flatMap((component) => {
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if (!component || typeof component !== "object" || Array.isArray(component)) return [];
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const item = component as Record<string, unknown>;
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const kind = item.kind;
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if (
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kind !== "source"
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&& kind !== "tool"
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&& kind !== "model"
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&& kind !== "algorithm"
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&& kind !== "runtime"
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) return [];
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if (
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typeof item.name !== "string"
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|| typeof item.version !== "string"
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|| typeof item.role !== "string"
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) return [];
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return [{
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kind: kind as LaboratoryMethodComponent["kind"],
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name: item.name,
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version: item.version,
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role: item.role,
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identitySha256: typeof item.identity_sha256 === "string"
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? item.identity_sha256
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: null,
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}];
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});
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const executionClass = value.execution_class;
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const completeness = value.completeness;
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if (
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components.length
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&& typeof value.pipeline_id === "string"
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&& (
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executionClass === "deterministic"
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|| executionClass === "ai-inference"
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|| executionClass === "hybrid"
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)
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&& (completeness === "complete" || completeness === "legacy-partial")
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) {
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return {
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completeness,
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executionClass,
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pipelineId: value.pipeline_id,
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components,
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};
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}
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}
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const resultKind = session.lab?.resultKind ?? "unknown";
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const algorithmNames: Record<string, string> = {
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"e10-integrated-perception": "Camera semantics + LiDAR metric fusion",
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"e21-realtime-envelope": "Bounded real-time perception replay",
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"e22-temporal-stability": "Temporal 2D/3D/semantic stabilization",
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"e23-inline-temporal-stability": "Inline warm-worker stabilization",
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"e24-world-motion": "World-frame motion tracking",
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"e25-persistent-support-motion": "Persistent occupied-support tracking",
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"e26-camera-ego-motion-fusion": "KB4 ego-motion + persistent LiDAR support",
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};
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return {
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completeness: "legacy-partial",
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executionClass: "hybrid",
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pipelineId: resultKind,
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components: [
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{
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kind: "source",
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name: session.lab?.sourceResultId ?? session.lab?.sourceSessionId ?? session.id,
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version: "immutable source evidence",
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role: "read-only input",
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identitySha256: digestFromContentId(session.lab?.sourceResultId),
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},
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{
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kind: "algorithm",
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name: algorithmNames[resultKind] ?? resultKind,
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version: resultKind,
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role: "laboratory derivative",
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identitySha256: session.lab?.configSha256 ?? null,
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},
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],
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};
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}
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function LaboratorySelector<T extends string>({
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eyebrow,
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title,
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@@ -1285,17 +1396,20 @@ function LaboratoryTask({
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function LaboratoryEvidence({
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eyebrow,
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title,
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kind,
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resizable = false,
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children,
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}: {
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eyebrow: string;
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title: string;
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kind: LaboratoryEvidenceKind;
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resizable?: boolean;
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children: ReactNode;
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}) {
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return (
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<section
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className="lab-result-surface"
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data-evidence-kind={kind}
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data-resizable={resizable ? "true" : undefined}
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>
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<header>
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@@ -1309,13 +1423,69 @@ function LaboratoryEvidence({
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);
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}
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function LaboratoryMethodCard({ method }: { method: LaboratoryMethod }) {
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const complete = method.completeness === "complete";
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const executionLabels: Record<LaboratoryExecutionClass, string> = {
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deterministic: "Детерминированный",
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"ai-inference": "AI inference",
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hybrid: "Гибридный",
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};
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return (
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<section className="laboratory-method">
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<header>
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<div>
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<span className="section-eyebrow">МЕТОД И ВОСПРОИЗВОДИМОСТЬ</span>
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<h2>{method.pipelineId}</h2>
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<p>
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Зафиксированы вычислительный класс, инструменты, модели и алгоритмы.
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{complete
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? " Идентичности достаточны для повторного запуска."
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: " Это legacy-прогон: отсутствующие исторические версии не восстановлены задним числом."}
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</p>
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</div>
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<StatusBadge tone={complete ? "success" : "warning"}>
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{complete ? "Метод полный" : "Legacy · частично"}
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</StatusBadge>
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</header>
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<div className="laboratory-method__summary">
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<div>
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<span>Класс вычисления</span>
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<strong>{executionLabels[method.executionClass]}</strong>
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</div>
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<div>
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<span>Компонентов</span>
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<strong>{method.components.length}</strong>
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</div>
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</div>
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<ul>
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{method.components.map((component, index) => (
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<li key={`${component.kind}:${component.name}:${index}`}>
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<span>{component.kind}</span>
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<div>
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<strong>{component.name}</strong>
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<small>{component.role} · {component.version}</small>
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</div>
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<code>
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{component.identitySha256
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? component.identitySha256.slice(0, 12)
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: "identity не зафиксирована"}
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</code>
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</li>
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))}
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</ul>
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</section>
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);
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}
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function LaboratoryWorkTemplate({
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task,
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method,
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evidence,
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result = null,
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details = null,
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}: {
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task: ReactNode;
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method: ReactNode;
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evidence: ReactNode;
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result?: ReactNode;
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details?: ReactNode;
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@@ -1323,6 +1493,7 @@ function LaboratoryWorkTemplate({
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return (
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<div className="laboratory-work-template">
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{task}
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{method}
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{evidence}
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{result}
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{details}
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@@ -1406,10 +1577,45 @@ function E29LaboratoryResult({
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]}
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/>
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)}
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method={(
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<LaboratoryMethodCard
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method={{
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completeness: "complete",
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executionClass: "hybrid",
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pipelineId: result.identity.profileId,
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components: [
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{
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kind: "source",
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name: result.linkedEvidence.sourceResultId,
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version: "camera-first semantic observations",
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role: "semantic identity and class",
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identitySha256: digestFromContentId(result.linkedEvidence.sourceResultId),
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},
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{
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kind: "algorithm",
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name: "Camera/LiDAR local-surface validation",
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version: result.identity.profileId,
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role: "range, occupied support and conflict classification",
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identitySha256: result.identity.producerSha256,
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},
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{
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kind: "model",
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name: result.linkedEvidence.localSurfaceModelId,
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version: "L2.6 local surface",
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role: "independent metric geometry",
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identitySha256: digestFromContentId(
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result.linkedEvidence.localSurfaceModelId,
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),
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},
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],
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}}
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/>
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)}
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evidence={(
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<LaboratoryEvidence
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eyebrow="ИСХОДНЫЕ ДАННЫЕ"
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title="LiDAR, траектория и камера RAVNOVES00"
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kind="recorded-replay"
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resizable
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>
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{replayReady ? (
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@@ -1592,10 +1798,14 @@ function PublishedLaboratoryResult({
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]}
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/>
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)}
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method={(
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<LaboratoryMethodCard method={publishedLaboratoryMethod(session)} />
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)}
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evidence={(
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<LaboratoryEvidence
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eyebrow="ВИЗУАЛЬНОЕ ДОКАЗАТЕЛЬСТВО"
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title="Исходная запись выбранной лабораторной работы"
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kind="recorded-replay"
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resizable
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>
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{replayReady ? (
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@@ -1900,10 +2110,43 @@ function LabArchiveWorkspace(props: WorkspaceRendererProps) {
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]}
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/>
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)}
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method={(
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<LaboratoryMethodCard
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method={{
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completeness: "complete",
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executionClass: e28Model?.method.executionClass ?? "deterministic",
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pipelineId: e28Model?.method.pipelineId ?? "local-surface/unavailable",
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components: [
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{
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kind: "source",
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name: e28Model?.sourcePackId ?? "Источник не загружен",
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version: "immutable vendor MAP + pose",
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role: "read-only LiDAR evidence",
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identitySha256: digestFromContentId(e28Model?.sourcePackId),
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},
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{
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kind: "algorithm",
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name: e28Model?.method.algorithm ?? "Rolling local surface",
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version: e28Model?.method.pipelineId ?? "—",
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role: "robust local plane, occupancy and temporal residuals",
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identitySha256: e28Model?.method.producerSha256 ?? null,
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},
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{
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kind: "runtime",
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name: "Mission Core worker D",
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version: "recorded-source-paced shadow",
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role: "bounded passive replay",
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identitySha256: null,
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},
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],
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}}
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/>
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)}
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evidence={(
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<LaboratoryEvidence
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eyebrow="ВИЗУАЛЬНОЕ ДОКАЗАТЕЛЬСТВО"
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title="Диагностическая поверхность и кадры LAB E28"
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kind="diagnostic-model"
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>
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<LidarQualityWorkspace
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embedded
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