import assert from "node:assert/strict";
import { readFile } from "node:fs/promises";
import { after, before, test } from "node:test";

import { createServer } from "vite";

let server;
let fetchM4ThreatReplayResult;
let fetchM4ThreatVisual;
let fetchM4ThreatTimeline;
let fetchM4ThreatTimelineChunk;
let selectM4ThreatTimelineFrame;
let selectM4ThreatTimelineSequence;
let advanceRecordedEvidencePlayback;
let m4ThreatChunkWindowStarts;
let buildM4LocalSurface;

const resultId = `m4-threat-replay-${"a".repeat(64)}`;

before(async () => {
  server = await createServer({
    appType: "custom",
    logLevel: "silent",
    server: { middlewareMode: true },
  });
  ({
    fetchM4ThreatReplayResult,
    fetchM4ThreatVisual,
    fetchM4ThreatTimeline,
    fetchM4ThreatTimelineChunk,
    selectM4ThreatTimelineFrame,
    selectM4ThreatTimelineSequence,
  } = await server.ssrLoadModule("/src/core/laboratory/m4ReplayThreat.ts"));
  ({ advanceRecordedEvidencePlayback } = await server.ssrLoadModule(
    "/src/components/laboratory/useRecordedEvidencePlayback.ts",
  ));
  ({ m4ThreatChunkWindowStarts } = await server.ssrLoadModule(
    "/src/workspaces/laboratory/useM4ThreatTimeline.ts",
  ));
  ({ buildM4LocalSurface } = await server.ssrLoadModule(
    "/src/core/laboratory/m4LocalSurface.ts",
  ));
});

after(async () => {
  await server?.close();
});

function proposal(overrides = {}) {
  return {
    proposal_id: "proposal-1",
    bbox_xyxy: [100, 120, 240, 360],
    objectness: 0.91,
    semantic_hint: "person",
    occupied_support: false,
    range_m: null,
    threat_decision: "unknown",
    threat_reason_codes: ["camera-only-no-metric-geometry"],
    ...overrides,
  };
}

function timelineFrame(sequence, sessionSeconds, overrides = {}) {
  return {
    schema_version: "missioncore.recorded-spatial-evidence-frame/v1",
    sequence,
    frame_id: `frame-${String(sequence).padStart(6, "0")}`,
    source_time_ns: Math.round(sessionSeconds * 1_000_000_000),
    session_seconds: sessionSeconds,
    source_available: true,
    spatial_available: true,
    body_frame: {
      origin_map_xyz_m: [sequence, 0, 0],
      basis_map_from_body: [[1, 0, 0], [0, 1, 0], [0, 0, 1]],
    },
    point_cloud_body_xyz_m: [[1, 0, 0.1]],
    point_cloud_source_count: 1,
    point_cloud_sample_count: 1,
    point_cloud_layer: "current-increment",
    rolling_map_component_count: 0,
    metric_obstacles: [],
    camera_proposals: [],
    decision_counts: { threat: 0, "not-threat": 0, unknown: 0 },
    camera_url: `/api/v1/laboratory/m4-threat/results/${resultId}/timeline/frames/${sequence}/camera`,
    authority: "replay-simulated",
    ...overrides,
  };
}

test("M4.6 decodes accepted dual-evidence result without physical authority", async () => {
  const result = await fetchM4ThreatReplayResult({
    fetcher: async () => new Response(JSON.stringify({
      schema_version: "missioncore.m4-threat-replay-catalog/v1",
      items: [{
        schema_version: "missioncore.m4-threat-replay-view/v1",
        result_id: resultId,
        created_at_utc: "2026-08-05T15:36:01.553Z",
        status: "accepted",
        profile_id: "m4-ravnoves00-virtual-corridor/v1",
        rig_profile_id: "virtual-base-footprint-1000x600/v2",
        corridor_profile_id: "ravnoves00-forward-corridor-8m/v2",
        source_result_ids: {
          detector: `m4-detector-replay-${"b".repeat(64)}`,
          geometry: `m4-geometry-replay-${"c".repeat(64)}`,
          temporal: `m4-temporal-replay-${"d".repeat(64)}`,
        },
        metrics: {
          decisions: { threat: 8010, "not-threat": 6610, unknown: 60832 },
          evidence: { "camera-only": 10158, "current-metric": 28081, "rolling-map-retained": 70989, "stale-or-held": 38025 },
          fixtures: { critical: 4, critical_false_not_threat: 0, passed: 9, total: 9 },
          runtime: {
            frames_per_second: 116.4,
            provider_latency_p50_ms: 4.3,
            provider_latency_p95_ms: 19.8,
            provider_latency_max_ms: 194.3,
          },
          body_frame: {
            available: 3928,
            qualified: 3861,
            rejected: 67,
            camera_forward_alignment_deg: { p95: 8.439, maximum: 24.252 },
          },
          reason_counts: { "geometry-only-evidence": 21958 },
        },
        configuration: {
          virtual_body_m: [1, 0.6],
          nominal_sensor_height_m: 1.25,
          forward_corridor_m: 8,
          prediction_horizon_seconds: 5,
          body_frame: {
            origin: "local-surface-vertical-projection",
            up: "vendor-slam-map-gravity-axis",
            forward: "smoothed-slam-trajectory-validated-by-camera-axis",
          },
        },
        limitations: ["replay only"],
        accepted: true,
        authority: "replay-simulated",
        physical_collision_accepted: false,
        actuation_allowed: false,
      }],
    }), { status: 200 }),
  });
  assert.equal(result.resultId, resultId);
  assert.equal(result.metrics.evidence.currentMetric, 28081);
  assert.equal(result.metrics.fixtures.criticalFalseNotThreat, 0);
  assert.equal(result.metrics.bodyFrame.qualified, 3861);
  assert.equal(result.metrics.bodyFrame.cameraForwardAlignmentDeg.p95, 8.439);
  assert.deepEqual(result.configuration.virtualBodyM, [1, 0.6]);
  assert.equal(result.configuration.bodyFrame.up, "vendor-slam-map-gravity-axis");
});

test("M4.6 binds exact CAMERA and metric 3D evidence to one replay frame", async () => {
  const frame = await fetchM4ThreatVisual(resultId, 1, {
    fetcher: async () => new Response(JSON.stringify({
      schema_version: "missioncore.perception-threat-visual-frame/v1",
      result_id: resultId,
      camera_url: `/api/v1/laboratory/m4-threat/results/${resultId}/visuals/1/camera`,
      ordinal: 1,
      sequence: 20,
      frame_id: "frame-000020",
      source_time_ns: 37421857292,
      point_cloud_body_xyz_m: [[1, 0, 0.1], [2, 0.2, 0.3]],
      point_cloud_source_count: 12000,
      point_cloud_sample_count: 2,
      metric_obstacles: [{
        component_id: "temporal-20-1",
        state: "current",
        motion: "moving",
        centroid_body_xyz_m: [2, 0.1, 0.4],
        cell_centers_body_xyz_m: [[2, 0.1, 0.4]],
        assessment: {
          component_id: "temporal-20-1",
          decision: "threat",
          corridor_intersection: "intersects",
          relative_speed_mps: 1.2,
          closest_approach_m: 0.4,
          ttc_seconds: 1.6,
          reason_codes: ["geometry-only-evidence"],
        },
      }],
      camera_proposals: [proposal()],
      rig: { length_m: 1, width_m: 0.6, nominal_sensor_height_m: 1.25 },
      corridor: {
        forward_length_m: 8,
        rear_margin_m: 0.5,
        half_width_m: 0.5,
        prediction_horizon_seconds: 5,
      },
    }), { status: 200 }),
  });
  assert.equal(frame.sequence, 20);
  assert.match(frame.cameraUrl, /\/visuals\/1\/camera$/);
  assert.equal(frame.metricObstacles[0].assessment.decision, "threat");
  assert.equal(frame.cameraProposals[0].threatDecision, "unknown");
  assert.equal(frame.pointCloudSampleCount, 2);
});

test("M4.6 v2 keeps CURRENT INCREMENT separate from ROLLING MAP", async () => {
  const frame = await fetchM4ThreatVisual(resultId, 14, {
    fetcher: async () => new Response(JSON.stringify({
      schema_version: "missioncore.perception-threat-visual-frame/v2",
      result_id: resultId,
      camera_url: `/api/v1/laboratory/m4-threat/results/${resultId}/visuals/14/camera`,
      ordinal: 14,
      sequence: 1880,
      frame_id: "frame-001880",
      source_time_ns: 223304857292,
      point_cloud_body_xyz_m: [[1, 0, 0.1]],
      point_cloud_source_count: 1652,
      point_cloud_sample_count: 1652,
      point_cloud_layer: "current-increment",
      rolling_map_component_count: 10,
      metric_obstacles: [{
        component_id: "rolling-sphere-near",
        state: "retained",
        motion: "unknown",
        centroid_body_xyz_m: [0.76, -0.27, 0.38],
        cell_centers_body_xyz_m: [[0.52, -0.3, 0.08]],
        assessment: {
          component_id: "rolling-sphere-near",
          decision: "threat",
          corridor_intersection: "intersects",
          relative_speed_mps: null,
          closest_approach_m: 0.1,
          ttc_seconds: null,
          reason_codes: ["retained-corridor-intersection"],
        },
      }],
      camera_proposals: [],
      rig: { length_m: 1, width_m: 0.6, nominal_sensor_height_m: 1.25 },
      corridor: {
        forward_length_m: 8,
        rear_margin_m: 0.5,
        half_width_m: 0.5,
        prediction_horizon_seconds: 5,
      },
    }), { status: 200 }),
  });
  assert.equal(frame.pointCloudLayer, "current-increment");
  assert.equal(frame.rollingMapComponentCount, 10);
  assert.equal(frame.metricObstacles[0].state, "retained");
  assert.equal(frame.metricObstacles[0].assessment.decision, "threat");
});

test("M4.6 timeline keeps only a compact index and decodes bounded spatial chunks", async () => {
  const frameTimesNs = Array.from(
    { length: 4489 },
    (_, index) => 35_421_857_292 + index * 100_000_000,
  );
  const timeline = await fetchM4ThreatTimeline(resultId, {
    fetcher: async () => new Response(JSON.stringify({
      schema_version: "missioncore.recorded-spatial-evidence-timeline/v1",
      result_id: resultId,
    recorded_source: {
      session_id: "20260720T065719Z_viewer_live",
      source_id: "RAVNOVES00",
      representation_id: "registered-map-increment-v1",
      synchronization: "host-arrival-best-effort",
    },
      image_width: 800,
      image_height: 600,
      frame_count: 4489,
      frame_times_ns: frameTimesNs,
      timeline_start_seconds: 35.421857292,
      timeline_end_seconds: 484.221857292,
      nominal_frame_interval_seconds: 0.1,
      nominal_rate_hz: 10,
      max_chunk_frames: 24,
      point_sample_limit: 4096,
      maximum_source_points_per_frame: 3092,
      point_delivery: "exact-current-increment",
      local_surface_visualization: {
        derivation: "bounded-registered-increment-accumulation",
        window_seconds: 2,
        voxel_size_m: 0.1,
        radius_m: 12,
        point_limit: 20000,
        authority: "visual-derived",
      },
      rig: { length_m: 1, width_m: 0.6, nominal_sensor_height_m: 1.25 },
      corridor: {
        forward_length_m: 8,
        rear_margin_m: 0.5,
        half_width_m: 0.5,
        occupied_voxel_size_m: 0.45,
        prediction_horizon_seconds: 5,
      },
      authority: "replay-simulated",
    }), { status: 200 }),
  });
  assert.equal(timeline.frameTimesNs.length, 4489);
  assert.equal(timeline.pointDelivery, "exact-current-increment");
  assert.equal(timeline.maximumSourcePointsPerFrame, 3092);
  assert.equal(timeline.occupiedVoxelSizeM, 0.45);
  assert.equal(timeline.localSurfaceVisualization.windowSeconds, 2);
  assert.equal(timeline.localSurfaceVisualization.authority, "visual-derived");
  assert.equal(selectM4ThreatTimelineSequence(timeline.frameTimesNs, 35.50), 1);

  const chunk = await fetchM4ThreatTimelineChunk(resultId, 0, 2, {
    fetcher: async () => new Response(JSON.stringify({
      schema_version: "missioncore.recorded-spatial-evidence-chunk/v1",
      result_id: resultId,
      start_sequence: 0,
      frame_count: 2,
      next_sequence: 2,
      frames: [
        timelineFrame(0, 35.421857292),
        timelineFrame(1, 35.521857292, {
          camera_proposals: [proposal()],
          decision_counts: { threat: 0, "not-threat": 0, unknown: 1 },
        }),
      ],
      authority: "replay-simulated",
    }), { status: 200 }),
  });
  assert.equal(chunk.frames[1].cameraProposals[0].rangeM, null);
  assert.equal(selectM4ThreatTimelineFrame(chunk.frames, 35.50).sequence, 1);
});

test("M4.6 local SLAM surface reprojects registered increments into the active body frame", () => {
  const frames = [
    timelineFrame(0, 10, {
      body_frame: {
        origin_map_xyz_m: [0, 0, 0],
        basis_map_from_body: [[0, -1, 0], [1, 0, 0], [0, 0, 1]],
      },
      point_cloud_body_xyz_m: [[1, 0, 0]],
    }),
    timelineFrame(1, 10.1, {
      body_frame: {
        origin_map_xyz_m: [0, 0, 0],
        basis_map_from_body: [[1, 0, 0], [0, 1, 0], [0, 0, 1]],
      },
      point_cloud_body_xyz_m: [[1, 0, 0]],
    }),
  ].map((raw, index) => ({
    sequence: raw.sequence,
    frameId: raw.frame_id,
    sourceTimeNs: raw.source_time_ns,
    sessionSeconds: raw.session_seconds,
    sourceAvailable: true,
    spatialAvailable: true,
    bodyFrame: {
      originMapXyzM: raw.body_frame.origin_map_xyz_m,
      basisMapFromBody: raw.body_frame.basis_map_from_body,
    },
    pointCloudBodyXyzM: raw.point_cloud_body_xyz_m,
    pointCloudSourceCount: 1,
    pointCloudSampleCount: 1,
    pointCloudLayer: "current-increment",
    rollingMapComponentCount: 0,
    metricObstacles: [],
    cameraProposals: [],
    decisionCounts: { threat: 0, "not-threat": 0, unknown: 0 },
    cameraUrl: raw.camera_url,
  }));
  const surface = buildM4LocalSurface(frames, frames[1], {
    windowSeconds: 2,
    voxelSizeM: 0.1,
    radiusM: 12,
    pointLimit: 20_000,
  });
  assert.equal(surface.sourceFrameCount, 2);
  assert.equal(surface.sourcePointCount, 2);
  assert.deepEqual(surface.pointsBodyXyzM, [[0, 1, 0], [1, 0, 0]]);
});

test("M4.6 spatial buffering keeps previous, active and two future chunks", () => {
  assert.deepEqual(m4ThreatChunkWindowStarts(48, 24, 4489), [24, 48, 72, 96]);
  assert.deepEqual(m4ThreatChunkWindowStarts(0, 24, 4489), [0, 24, 48]);
});

test("recorded evidence clock advances by selected rate and stops at the sealed end", () => {
  const range = { startSeconds: 10, endSeconds: 20 };
  assert.deepEqual(
    advanceRecordedEvidencePlayback(
      { currentSeconds: 12, playing: true, rate: 2 },
      1.5,
      range,
    ),
    { currentSeconds: 15, playing: true, rate: 2 },
  );
  assert.deepEqual(
    advanceRecordedEvidencePlayback(
      { currentSeconds: 19.5, playing: true, rate: 1 },
      1,
      range,
    ),
    { currentSeconds: 20, playing: false, rate: 1 },
  );
});

test("M4.6 viewer keeps media and spatial panes on one playback clock", async () => {
  const [visual, visualCss, imageScene, videoScene, metricScene] = await Promise.all([
    readFile(new URL("../src/workspaces/laboratory/M4ReplayThreatVisual.tsx", import.meta.url), "utf8"),
    readFile(new URL("../src/styles/m4-replay-threat.css", import.meta.url), "utf8"),
    readFile(new URL("../src/components/laboratory/RecordedEvidenceImageScene.tsx", import.meta.url), "utf8"),
    readFile(new URL("../src/components/laboratory/RecordedEvidenceVideoScene.tsx", import.meta.url), "utf8"),
    readFile(new URL("../src/components/laboratory/LaboratoryMetricEvidenceScene.tsx", import.meta.url), "utf8"),
  ]);
  assert.match(visual, /<RecordedEvidenceVideoScene/);
  assert.match(visual, /<RecordedEvidenceImageScene/);
  assert.match(visual, /<LaboratoryMetricEvidenceScene/);
  assert.match(visual, /m4-replay-threat-visual__deck/);
  assert.match(visual, /lastFrameRef/);
  assert.match(visual, /lastSpatialFrameRef/);
  assert.match(visual, /const spatialFrame = frame\?\.spatialAvailable/);
  assert.match(visual, /<ObservationTimeline/);
  assert.match(visual, /useM4ThreatTimelineFrame/);
  assert.match(visual, /label: "VIDEO"/);
  assert.match(visual, /label: "CAMERA"/);
  assert.match(visual, /label: "3D"/);
  assert.match(visual, /label: "PLAN"/);
  assert.match(visual, /mediaMode/);
  assert.match(visual, /spatialMode/);
  assert.match(visual, /current === next \? null : next/);
  assert.match(visual, /data-split=\{splitView \? "true" : undefined\}/);
  assert.match(visual, /<SplitPane/);
  assert.match(visual, /primarySize=\{splitView \? splitPrimarySize : mediaMode \? 100 : 0\}/);
  assert.match(visual, /resizable=\{splitView\}/);
  assert.match(visual, /separatorLabel="Изменить размер VIDEO\/CAMERA и 3D\/PLAN"/);
  assert.match(visual, /secondaryMode=\{\{/);
  assert.match(visual, /playback=\{playbackController\.playback\}/);
  assert.match(visual, /clock: mediaMode === "video" \? "external" : "animation"/);
  assert.match(visual, /segmentSequence=\{frame \? frame\.sequence \+ 1 : undefined\}/);
  assert.match(visual, /segmentCount=\{timeline\.frameCount\}/);
  assert.match(visual, /onPlaybackChange=\{playbackController\.synchronize\}/);
  assert.match(visual, /currentSeconds: playbackController\.playback\.currentSeconds/);
  assert.doesNotMatch(visual, /setPlaying\(false\)/);
  assert.match(visualCss, /m4-replay-threat-visual__deck > \.nodedc-split-pane/);
  assert.match(visualCss, /m4-replay-threat-visual__pane-toolbar\[data-pane-toolbar="media"\]/);
  assert.match(visualCss, /m4-replay-threat-visual__pane-toolbar\[data-pane-toolbar="spatial"\]/);
  assert.match(visualCss, /width: 33\.333333%/);
  assert.match(visualCss, /flex-flow: column nowrap/);
  assert.match(visualCss, /m4-replay-threat-visual__overlay > div/);
  assert.match(visualCss, /grid-template-columns: minmax\(0, 1fr\)/);
  assert.match(visualCss, /width: min\(22rem, calc\(33\.333333% - 0\.8rem\)\)/);
  assert.match(visualCss, /laboratory-metric-evidence-scene__legend/);
  assert.match(visualCss, /bottom: auto/);
  assert.match(videoScene, /<RecordedFmp4Player/);
  assert.match(imageScene, /<RecordedEvidenceBoxOverlay/);
  assert.match(metricScene, /OrbitControls/);
  assert.match(visual, /LOCAL SLAM/);
  assert.match(visual, /showLocalSurface/);
  assert.match(visual, /pointCloudBodyXyzM=\{spatialFrame\.pointCloudBodyXyzM\}/);
  assert.match(metricScene, /Local SLAM surface/);
  assert.match(visual, /showJumpToEnd=\{false\}/);
  assert.doesNotMatch(visual, /Назад на 5 секунд/);
  assert.doesNotMatch(visual, /Вперёд на 5 секунд/);
  assert.doesNotMatch(metricScene, /ЛКМ · вращение/);
});

test("M4.6 keeps the recorded VIDEO player mounted across media mode toggles", async () => {
  const visual = await readFile(
    new URL("../src/workspaces/laboratory/M4ReplayThreatVisual.tsx", import.meta.url),
    "utf8",
  );
  assert.match(visual, /const mediaPane = \(/);
  assert.match(visual, /hidden=\{!mediaMode\}/);
  assert.match(visual, /data-media="video"/);
  assert.match(visual, /hidden=\{mediaMode !== "video"\}/);
  assert.match(visual, /\{videoSource \? \(/);
  assert.doesNotMatch(visual, /\{mediaMode === "video" \? videoSource \? \(/);
});