Files

114 lines
4.0 KiB
JavaScript

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, /<video/);
assert.match(visual, /controls/);
});