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feat(cctv): enrich identified cameras with datasheet FOV + specs
When a CCTV source pack (or a seed) names its hardware `model`, resolve it against a camera-model spec table: the coverage frustum then uses the manufacturer's horizontal FOV instead of the pose estimate, and the HUD meta line gains the model's resolution, night-vision, and PTZ specs. Cameras with no identified model are unchanged — unknown never implies anything, matching the layer's existing honesty about RAW PRIOR poses. Spec records are vendored verbatim from the CCTV Camera Database (https://github.com/ch-bas/cctv-camera-database, CC0-1.0), an open dataset of 12,000+ camera models transcribed from manufacturer datasheets. This lands a small starter table plus the join + parsing helpers; source packs that publish their hardware can grow it. Records describe camera products (optics, resolution, night vision) only — no endpoints or access data. - src/layers/cctv/modelSpecs.js: spec table, case-insensitive/alias lookup, wide-end FOV parser, HUD summary formatter - src/layers/cctv/modelSpecs.test.mjs: lookup/alias/unknown, FOV parsing across the real fov string shapes, summary rendering - src/layers/cctv/catalog.js: apply enrichment in both catalog builders - src/layers/cctv/presentation.js: label a datasheet FOV, append the spec summary, and pass fovSource + spec through the public camera state
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@@ -1,4 +1,25 @@
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import { CAMERA_SEEDS, SOURCE_ENDPOINT } from './policy.js';
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import { lookupModelSpec, horizontalFovDeg } from './modelSpecs.js';
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/**
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* Applies datasheet enrichment to a camera in place: when it names a known
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* hardware `model`, the manufacturer's horizontal FOV replaces the pose
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* estimate and the spec record is attached for the HUD. Unknown models — the
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* common case — change nothing.
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* @param {Object} camera - Camera being built (mutated).
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* @param {string} [modelName] - Hardware model from a source or seed.
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* @param {(v:number,min:number,max:number)=>number} clamp - Pose clamp helper.
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*/
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function applyModelEnrichment(camera, modelName, clamp) {
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const spec = modelName ? lookupModelSpec(modelName) : null;
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if (!spec) return;
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const fov = horizontalFovDeg(spec);
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if (fov) {
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camera.fovDeg = clamp(fov, 20, 125);
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camera.fovSource = 'datasheet';
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}
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camera.spec = spec;
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}
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export function createCatalog({ state: layerState, services, parts, source }) {
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const { CITY_POIS } = services.locations;
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@@ -45,6 +66,7 @@ export function createCatalog({ state: layerState, services, parts, source }) {
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parts.model.clamp(seed.elevationM ?? 22, 8, 80),
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pitchDeg: parts.model.clamp(seed.pitchDeg ?? -17, -40, -4),
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};
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applyModelEnrichment(camera, seed.model, parts.model.clamp);
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parts.model.ensureCameraPose(camera);
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catalog.push(camera);
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}
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@@ -205,6 +227,11 @@ export function createCatalog({ state: layerState, services, parts, source }) {
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: null,
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poseSource,
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};
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applyModelEnrichment(
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camera,
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source.model || seed?.model,
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parts.model.clamp,
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);
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parts.model.ensureCameraPose(camera);
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catalog.push(camera);
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}
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@@ -0,0 +1,129 @@
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/**
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* @module cctvModelSpecs
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*
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* Hardware-model spec enrichment for the CCTV layer.
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*
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* When a catalog camera names its hardware model (source packs may set
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* `model`; hand-authored seeds may too), the model resolves to a datasheet
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* record: the camera's frustum then uses the manufacturer's horizontal FOV
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* instead of an estimate, and the HUD meta line gains the model's real specs.
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* Cameras without an identified model are untouched — unknown never implies
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* anything.
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*
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* Spec records are vendored verbatim from the CCTV Camera Database
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* (https://github.com/ch-bas/cctv-camera-database, CC0-1.0) — an open dataset
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* of 12,000+ camera models transcribed from manufacturer datasheets (84% with
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* FOV). This module ships a small starter table; city packs that publish
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* their hardware models can grow it, or vendor the full extract.
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*
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* Scope guardrail: records describe camera PRODUCTS (optics, resolution,
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* night vision) — never endpoints, stream paths, or access/config data.
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*/
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/** Verbatim records from the dataset's model-enrichment extract (v2.19.0). */
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const RECORDS = [
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{
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id: 'axis-q6135-le',
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brand: 'Axis',
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model: 'Q6135-LE',
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type: 'ptz',
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url: 'https://www.cctv-database.com/camera/axis-q6135-le/',
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aliases: ['01959-004'],
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fov_deg: '58.3-2.4 horizontal',
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resolution: { mp: 2, w: 1920, h: 1080, label: '1080p' },
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ptz: true,
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autotracking: true,
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varifocal: true,
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night_vision: { type: 'ir', range_m: 250 },
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environment: ['outdoor'],
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ndaa_compliant: true,
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},
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{
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id: 'hanwha-xnp-6400rw',
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brand: 'Hanwha',
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model: 'XNP-6400RW',
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type: 'ptz',
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url: 'https://www.cctv-database.com/camera/hanwha-xnp-6400rw/',
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aliases: ['Wisenet PTZ Plus 2MP 40x IR PTZ'],
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fov_deg: '65.66-1.88 horizontal / 39.4-1.09 vertical',
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resolution: { mp: 2, w: 1920, h: 1080, label: '1080p' },
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ptz: true,
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autotracking: true,
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varifocal: true,
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night_vision: { type: 'ir', range_m: 200 },
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environment: ['outdoor'],
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ndaa_compliant: true,
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},
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{
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id: 'hikvision-ds-2cd2087g3-li2uy',
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brand: 'Hikvision',
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model: 'DS-2CD2087G3-LI2UY',
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type: 'bullet',
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url: 'https://www.cctv-database.com/camera/hikvision-ds-2cd2087g3-li2uy/',
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fov_deg: '108.8 horizontal (2.8mm) / 93.3 horizontal (4mm)',
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resolution: { mp: 8, w: 3840, h: 2160, label: '8MP (4K)' },
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night_vision: { type: 'color', range_m: 40 },
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environment: ['outdoor'],
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ndaa_compliant: false,
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},
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{
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id: 'axis-f4105-lre',
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brand: 'Axis',
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model: 'F4105-LRE',
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type: 'dome',
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url: 'https://www.cctv-database.com/camera/axis-f4105-lre/',
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fov_deg: '110 horizontal, 60 vertical',
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resolution: { mp: 2, w: 1920, h: 1080, label: '1080p HD' },
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night_vision: { type: 'ir', range_m: 10 },
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environment: ['outdoor'],
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ndaa_compliant: true,
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},
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];
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const BY_MODEL = new Map();
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for (const record of RECORDS) {
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BY_MODEL.set(record.model.toLowerCase(), record);
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for (const alias of record.aliases || [])
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BY_MODEL.set(alias.toLowerCase(), record);
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}
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/**
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* Looks up a spec record by model string (case-insensitive; aliases match too).
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* @param {string} model - Hardware model as named by a source pack or seed.
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* @returns {Object|null} The verbatim spec record, or null when unknown.
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*/
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export function lookupModelSpec(model) {
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if (!model) return null;
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return BY_MODEL.get(String(model).trim().toLowerCase()) || null;
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}
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/**
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* Datasheet horizontal FOV in degrees: the FIRST number in the `fov_deg`
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* string, which for varifocal/PTZ ranges ('58.3-2.4 horizontal') is the wide
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* end — the honest default for a coverage cone.
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* @param {Object} spec - A record from this module.
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* @returns {number|null} Wide-end horizontal FOV, or null when unstated.
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*/
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export function horizontalFovDeg(spec) {
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const match = String(spec?.fov_deg || '').match(/\d+(?:\.\d+)?/);
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const value = match ? Number(match[0]) : NaN;
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return Number.isFinite(value) && value > 0 ? value : null;
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}
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/**
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* One-line spec summary for HUD meta text.
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* @param {Object} spec - A record from this module.
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* @returns {string} e.g. 'Axis Q6135-LE · 1080p · IR 250m · PTZ' ('' for null).
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*/
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export function specSummary(spec) {
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if (!spec) return '';
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const parts = [`${spec.brand} ${spec.model}`];
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if (spec.resolution?.label) parts.push(spec.resolution.label);
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if (spec.night_vision) {
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parts.push(
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`${spec.night_vision.type.toUpperCase()}${spec.night_vision.range_m ? ` ${spec.night_vision.range_m}m` : ''}`,
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);
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}
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if (spec.ptz) parts.push('PTZ');
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return parts.join(' · ');
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}
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@@ -0,0 +1,63 @@
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// src/layers/cctv/modelSpecs.test.mjs
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// Hardware-model spec enrichment: lookup semantics (case-insensitive, alias
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// matching, unknown → null — never a guess), datasheet-FOV parsing across the
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// real fov_deg string shapes, and the HUD spec-summary line.
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import { test } from 'node:test';
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import assert from 'node:assert/strict';
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import {
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lookupModelSpec,
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horizontalFovDeg,
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specSummary,
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} from './modelSpecs.js';
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test('lookupModelSpec matches case-insensitively and trims', () => {
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const spec = lookupModelSpec(' q6135-le ');
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assert.ok(spec);
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assert.equal(spec.brand, 'Axis');
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assert.equal(lookupModelSpec('Q6135-LE'), spec);
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});
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test('lookupModelSpec matches aliases', () => {
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const byAlias = lookupModelSpec('01959-004');
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assert.ok(byAlias);
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assert.equal(byAlias.model, 'Q6135-LE');
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});
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test('lookupModelSpec returns null for unknown or empty input — never guesses', () => {
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assert.equal(lookupModelSpec('NOT-A-REAL-MODEL'), null);
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assert.equal(lookupModelSpec(''), null);
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assert.equal(lookupModelSpec(null), null);
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assert.equal(lookupModelSpec(undefined), null);
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});
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test('horizontalFovDeg takes the wide end of a varifocal/PTZ range', () => {
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// '58.3-2.4 horizontal' → 58.3 (wide), not 2.4 (tele).
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assert.equal(horizontalFovDeg(lookupModelSpec('Q6135-LE')), 58.3);
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});
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test('horizontalFovDeg reads multi-variant and plain fov strings', () => {
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// '108.8 horizontal (2.8mm) / 93.3 horizontal (4mm)' → first variant.
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assert.equal(horizontalFovDeg(lookupModelSpec('DS-2CD2087G3-LI2UY')), 108.8);
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// '110 horizontal, 60 vertical' → horizontal figure.
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assert.equal(horizontalFovDeg(lookupModelSpec('F4105-LRE')), 110);
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});
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test('horizontalFovDeg returns null when no numeric FOV is stated', () => {
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assert.equal(horizontalFovDeg({ fov_deg: '' }), null);
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assert.equal(horizontalFovDeg({ fov_deg: 'wide dynamic range' }), null);
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assert.equal(horizontalFovDeg({}), null);
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assert.equal(horizontalFovDeg(null), null);
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});
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test('specSummary renders the HUD line and degrades by omission', () => {
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assert.equal(
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specSummary(lookupModelSpec('Q6135-LE')),
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'Axis Q6135-LE · 1080p · IR 250m · PTZ',
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);
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// No night vision / no PTZ → those segments are simply absent.
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assert.equal(
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specSummary({ brand: 'Axis', model: 'X', resolution: { label: '4K' } }),
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'Axis X · 4K',
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);
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assert.equal(specSummary(null), '');
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});
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@@ -1,6 +1,7 @@
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import { CCTV_AMBIENT_CARD_MAX } from '../../data/cctvLod.js';
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import { ACTIVE_FRAME_REFRESH_MS, IDLE_FRAME_REFRESH_MS } from './policy.js';
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import { headingHudToken, isHeadingEstimated } from './headingConfidence.js';
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import { specSummary } from './modelSpecs.js';
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export function createPresentation({
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state: layerState,
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@@ -39,7 +40,8 @@ export function createPresentation({
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// A synthetic bearing (headingConfidence 'low', no human calibration)
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// is tagged so a hashed guess never reads as a surveyed facing (#639).
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headingHudToken(active.camera),
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`FOV ${Math.round(active.camera.fovDeg)}°`,
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// Identified hardware labels its FOV as datasheet-sourced (catalog.js).
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`FOV ${Math.round(active.camera.fovDeg)}°${active.camera.fovSource === 'datasheet' ? ' (DATASHEET)' : ''}`,
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`COVERAGE ${area.toFixed(2)}km²`,
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overlapCount > 0 ? `OVERLAP ${overlapCount} cams` : 'ISOLATED VIEW',
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`PROJ ${layerState._showProjection ? 'MONITOR' : 'OFF'}`,
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@@ -49,6 +51,10 @@ export function createPresentation({
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? `SRC ${String(health.sourceKind).toUpperCase()}`
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: `SRC ${String(active.camera.feedType || 'image').toUpperCase()}`,
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`${viewBand.toUpperCase()} CONTEXT`,
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// Identified hardware: append the model's datasheet specs + attribution.
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active.camera.spec
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? `${specSummary(active.camera.spec).toUpperCase()} · SPECS: CCTV-DATABASE.COM`
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: null,
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]
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.filter(Boolean)
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.join(' · ');
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@@ -86,6 +92,9 @@ export function createPresentation({
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headingEstimated: isHeadingEstimated(camera),
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pitchDeg: camera.pitchDeg,
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fovDeg: camera.fovDeg,
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// Identified-hardware enrichment passthrough (catalog.js / modelSpecs.js).
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fovSource: camera.fovSource || 'estimated',
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spec: camera.spec || null,
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rangeM: camera.rangeM,
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elevationM: camera.absoluteHeightM,
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mountHeightM: camera.mountHeightM,
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