import assert from "node:assert/strict"; import { readFile } from "node:fs/promises"; import test, { after, before } from "node:test"; import { createServer } from "vite"; let server; let fetchE46EReadyStack; before(async () => { server = await createServer({ server: { middlewareMode: true }, appType: "custom", logLevel: "silent", }); ({ fetchE46EReadyStack } = await server.ssrLoadModule( "/src/core/laboratory/e46eReadyStack.ts", )); }); after(async () => { await server?.close(); }); test("E46E admits a stock full-replay result and its immutable video", async () => { const resultId = `e46e-ready-stack-${"a".repeat(64)}`; const identity = "b".repeat(64); const fetcher = async () => new Response(JSON.stringify({ schema_version: "missioncore.e46e-ready-stack-catalog/v1", items: [{ schema_version: "missioncore.e46e-ready-stack-view/v1", result_id: resultId, created_at_utc: "2026-08-04T09:00:00Z", source_session_id: "20260720T065719Z_viewer_live", camera_source_id: "sensor.camera.right", metrics: { frame_count: 4489, route_duration_seconds: 448.623, detection_observation_count: 12000, track_observation_count: 12500, detection_box_clipped_count: 0, track_box_clipped_count: 488, unique_track_count: 700, mean_tracked_objects_per_frame: 2.784, zero_detection_frame_count: 100, zero_track_frame_count: 40, tracker_recovered_frame_count: 80, full_layer_blackout_event_count: 3, route_id_gap_event_count: 20, short_track_count: 100, short_track_fraction: 0.142857, track_class_switch_count: 2, }, acceptance: { full_route_accounted: true, stock_detector_tracker_executed: true, visual_overlay_available: true, independent_truth_available: false, navigation_or_safety_accepted: false, }, decision: { ready_stack_baseline_available: true, custom_temporal_logic_used: false, next_action: "compare A/B", }, method: { schema_version: "missioncore.laboratory-method/v1", completeness: "complete", execution_class: "hybrid", pipeline_id: "e46e-ready-stack/v1", components: [{ kind: "model", name: "TrafficCamNet Transformer Lite", version: "deployable_resnet50_v2.0", role: "traffic detector", identity_sha256: identity, }], }, limitations: ["not independent truth"], video: { url: `${resultId}/overlay.mp4`, media_type: "video/mp4", byte_length: 123456, sha256: identity, width: 800, height: 600, }, ground_truth: false, }], }), { status: 200, headers: { "Content-Type": "application/json" } }); const result = await fetchE46EReadyStack({ fetcher }); assert.equal(result.resultId, resultId); assert.equal(result.metrics.frameCount, 4489); assert.equal(result.metrics.trackerRecoveredFrameCount, 80); assert.equal(result.metrics.trackBoxClippedCount, 488); assert.equal(result.decision.customTemporalLogicUsed, false); assert.equal(result.method.components[0].identitySha256, identity); assert.equal(result.video.sha256, identity); assert.doesNotMatch(JSON.stringify(result), /Users|D:\\|runtime\/experiments/); }); test("E46E uses the fixed LAB anatomy and reusable evidence viewer", async () => { const [resultView, visual] = await Promise.all([ readFile(new URL("../src/workspaces/laboratory/E46EReadyStackResult.tsx", import.meta.url), "utf8"), readFile(new URL("../src/workspaces/laboratory/E46EReadyStackVisual.tsx", import.meta.url), "utf8"), ]); assert.match(resultView, /LaboratorySummary/); assert.match(resultView, /LaboratoryEvidence/); assert.match(resultView, /LaboratoryResultSummary/); assert.match(visual, /LaboratoryEvidenceViewer/); assert.match(visual, /