mirror of
https://github.com/bilawalsidhu/gods-eye-view.git
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Merge origin/main: CCTV model specs, transit Ontario, Brazil GBFS, camera packs
Conflicts: - CCTV HUD: main's datasheet FOV, capability range and spec summary, with their labels translated; specFovCapabilityToken takes a format so the HUD can pass a translated one. Datasheet resolution labels are camera data (i18n-ignore). - Transit: main's route labels and operator mode words, with the generic words still translated; an operator's own word stays a name. Catalogs: es/ru 2566 messages each, complete. Co-Authored-By: Claude Opus 5.5 <[email protected]>
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@@ -0,0 +1,73 @@
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import assert from 'node:assert/strict';
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import test from 'node:test';
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import { CITY_BY_ID } from './registry.js';
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import { createModel } from './model.js';
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import { createViewport } from './viewport.js';
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import { isAllowedGbfsHost, isAllowedGbfsPath } from '../../data/gbfsSource.js';
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// Each Bike Itaú city's PBSC host, and the station farthest from its
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// registered centre in the live feed (checked 2026-10-15).
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const CITIES = {
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'sao-paulo-bike-itau': {
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host: 'saopaulo.publicbikesystem.net',
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stations: [{ name: '260 - P3', lat: -23.568235, lon: -46.740715 }],
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},
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'rio-de-janeiro-bike-itau': {
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host: 'riodejaneiro.publicbikesystem.net',
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stations: [{ name: '293 - Praia da Macumba', lat: -23.03135, lon: -43.479584 }],
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},
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'salvador-bike-itau': {
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host: 'salvador.publicbikesystem.net',
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stations: [{ name: '49 - Stella Maris', lat: -12.93645, lon: -38.32701 }],
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},
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'recife-bike-itau': {
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host: 'recife.publicbikesystem.net',
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stations: [{ name: '69 - Praia de Piedade', lat: -8.186205, lon: -34.918371 }],
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},
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'porto-alegre-bike-itau': {
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host: 'portoalegre.publicbikesystem.net',
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stations: [{ name: '72 - Avenida Tramandaí', lat: -30.135915, lon: -51.22684 }],
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},
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'brasilia-bike-itau': {
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host: 'brasilia.publicbikesystem.net',
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stations: [{ name: "60 - Parque Olhos d'Água", lat: -15.7431, lon: -47.88667 }],
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},
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'curitiba-bike-itau': {
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host: 'curitiba.publicbikesystem.net',
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stations: [{ name: '42 - Terminal Portão', lat: -25.476885, lon: -49.292608 }],
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},
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};
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// The production range check, with no viewer or fetches behind it.
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const parts = { model: createModel({ state: {}, services: {}, parts: {}, source: null }) };
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const { computeInRangeCities } = createViewport({
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state: {},
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services: { render: { governorRequestRender() {} } },
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parts,
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source: null,
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});
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test('the Bike Itaú systems are registered and readable through the proxy', () => {
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for (const [id, expected] of Object.entries(CITIES)) {
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const city = CITY_BY_ID.get(id);
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assert.ok(city, `${id} is registered`);
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assert.equal(city.provider, 'Bike Itaú');
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assert.deepEqual(city.hosts, [expected.host]);
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for (const feed of [city.stationInformationUrl, city.stationStatusUrl]) {
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const url = new URL(feed);
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assert.ok(isAllowedGbfsHost(url.hostname), `${id} host ${url.hostname}`);
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assert.ok(isAllowedGbfsPath(url.pathname), `${id} path ${url.pathname}`);
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}
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}
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});
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test('a camera over each outermost station activates its system', () => {
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for (const [id, expected] of Object.entries(CITIES)) {
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for (const station of expected.stations) {
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assert.ok(
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computeInRangeCities({ lat: station.lat, lon: station.lon }).has(id),
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`${station.name} activates ${id}`,
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);
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}
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}
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});
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@@ -246,6 +246,90 @@ const RAW_GBFS_CITY_REGISTRY = [
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'https://chat.publicbikesystem.net/customer/gbfs/v2/en/station_status.json',
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provider: 'Bike Chattanooga',
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},
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{
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id: 'sao-paulo-bike-itau',
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city: 'São Paulo, SP',
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centerLat: -23.5505,
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centerLon: -46.6333,
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loadRadiusKm: 100,
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stationInformationUrl:
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'https://saopaulo.publicbikesystem.net/customer/gbfs/v2/en/station_information.json',
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stationStatusUrl:
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'https://saopaulo.publicbikesystem.net/customer/gbfs/v2/en/station_status.json',
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provider: 'Bike Itaú',
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},
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{
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id: 'rio-de-janeiro-bike-itau',
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city: 'Rio de Janeiro, RJ',
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centerLat: -22.9068,
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centerLon: -43.1729,
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loadRadiusKm: 100,
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stationInformationUrl:
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'https://riodejaneiro.publicbikesystem.net/customer/gbfs/v2/en/station_information.json',
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stationStatusUrl:
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'https://riodejaneiro.publicbikesystem.net/customer/gbfs/v2/en/station_status.json',
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provider: 'Bike Itaú',
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},
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{
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id: 'salvador-bike-itau',
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city: 'Salvador, BA',
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centerLat: -12.9777,
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centerLon: -38.5016,
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loadRadiusKm: 90,
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stationInformationUrl:
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'https://salvador.publicbikesystem.net/customer/gbfs/v2/en/station_information.json',
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stationStatusUrl:
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'https://salvador.publicbikesystem.net/customer/gbfs/v2/en/station_status.json',
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provider: 'Bike Itaú',
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},
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{
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id: 'recife-bike-itau',
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city: 'Recife, PE',
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centerLat: -8.0476,
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centerLon: -34.877,
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loadRadiusKm: 90,
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stationInformationUrl:
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'https://recife.publicbikesystem.net/customer/gbfs/v2/en/station_information.json',
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stationStatusUrl:
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'https://recife.publicbikesystem.net/customer/gbfs/v2/en/station_status.json',
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provider: 'Bike Itaú',
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},
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{
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id: 'porto-alegre-bike-itau',
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city: 'Porto Alegre, RS',
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centerLat: -30.0346,
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centerLon: -51.2177,
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loadRadiusKm: 90,
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stationInformationUrl:
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'https://portoalegre.publicbikesystem.net/customer/gbfs/v2/en/station_information.json',
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stationStatusUrl:
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'https://portoalegre.publicbikesystem.net/customer/gbfs/v2/en/station_status.json',
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provider: 'Bike Itaú',
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},
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{
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id: 'brasilia-bike-itau',
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city: 'Brasília, DF',
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centerLat: -15.7939,
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centerLon: -47.8828,
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loadRadiusKm: 90,
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stationInformationUrl:
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'https://brasilia.publicbikesystem.net/customer/gbfs/v2/en/station_information.json',
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stationStatusUrl:
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'https://brasilia.publicbikesystem.net/customer/gbfs/v2/en/station_status.json',
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provider: 'Bike Itaú',
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},
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{
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id: 'curitiba-bike-itau',
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city: 'Curitiba, PR',
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centerLat: -25.4284,
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centerLon: -49.2733,
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loadRadiusKm: 90,
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stationInformationUrl:
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'https://curitiba.publicbikesystem.net/customer/gbfs/v2/en/station_information.json',
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stationStatusUrl:
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'https://curitiba.publicbikesystem.net/customer/gbfs/v2/en/station_status.json',
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provider: 'Bike Itaú',
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},
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{
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id: 'toronto-bike-share',
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city: 'Toronto, ON',
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@@ -1,4 +1,41 @@
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import { CAMERA_SEEDS, SOURCE_ENDPOINT } from './policy.js';
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import {
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lookupModelSpec,
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horizontalFovRangeDeg,
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fixedHorizontalFovDeg,
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} 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` (and, when published, a matching `manufacturer`), the spec
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* record is attached for the HUD and the datasheet's horizontal FOV range
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* rides along as `specFovMinDeg`/`specFovMaxDeg`. Only fixed-lens hardware
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* fills the FOV, and only when none was given: an explicit source/seed
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* `fovDeg` or a curated pose is never overwritten. A PTZ/varifocal range says
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* what the lens CAN do, not where it is zoomed now.
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* Unknown models — the common case — change nothing.
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* @param {Object} camera - Camera being built (mutated).
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* @param {{model?:string, manufacturer?:string, explicitFov?:boolean}} hardware
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* - Hardware model/manufacturer from a source or seed, and whether that
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* source or seed stated its own `fovDeg`.
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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, hardware, clamp) {
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const { model, manufacturer, explicitFov } = hardware;
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const spec = model ? lookupModelSpec(model, manufacturer) : null;
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if (!spec) return;
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const range = horizontalFovRangeDeg(spec);
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if (range) {
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camera.specFovMinDeg = range.minDeg;
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camera.specFovMaxDeg = range.maxDeg;
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}
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const fixedFov = fixedHorizontalFovDeg(spec);
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if (fixedFov && !explicitFov && camera.poseSource !== 'curated') {
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camera.fovDeg = clamp(fixedFov, 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 +82,11 @@ 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(
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camera,
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{ model: seed.model, explicitFov: seed.fovDeg != null },
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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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@@ -207,6 +249,19 @@ export function createCatalog({ state: layerState, services, parts, source }) {
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model: String(source.model || ''),
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manufacturer: String(source.manufacturer || ''),
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};
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applyModelEnrichment(
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camera,
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{
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model: source.model || seed?.model,
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manufacturer: source.model ? source.manufacturer : '',
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explicitFov:
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(source.fovDeg != null && Number.isFinite(Number(source.fovDeg))) ||
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CAMERA_SEEDS.some(
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(entry) => entry.id === id && entry.fovDeg != null,
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),
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},
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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 +1,550 @@
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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 and the HUD meta line gains the model's real specs. A fixed-lens
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* model's horizontal FOV replaces the frustum's estimate; a PTZ/varifocal or
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* multi-sensor range is carried as capability metadata beside the estimate,
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* because the lens's current zoom is unknown.
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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 28,000+ camera models transcribed from manufacturer datasheets (84% with
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* FOV, as of v2.26.0). This module vendors the records that the currently integrated public
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* catalogs publish hardware for — King County WA (Cohu, Bosch AUTODOME, Axis
|
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* Q6135-LE), plus the Bosch AUTODOME and Axis PTZ/multisensor models that
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* appear in Sarasota County FL and Sioux Falls SD open data; packs that
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* publish other 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 (v2.26.0). */
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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',
|
||||
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',
|
||||
resolution: { mp: 2, w: 1920, h: 1080, label: '1080p' },
|
||||
ptz: true,
|
||||
autotracking: true,
|
||||
varifocal: true,
|
||||
night_vision: { type: 'ir', range_m: 200 },
|
||||
environment: ['outdoor'],
|
||||
ndaa_compliant: true,
|
||||
},
|
||||
{
|
||||
id: 'hikvision-ds-2cd2087g3-li2uy',
|
||||
brand: 'Hikvision',
|
||||
model: 'DS-2CD2087G3-LI2UY',
|
||||
type: 'bullet',
|
||||
url: 'https://www.cctv-database.com/camera/hikvision-ds-2cd2087g3-li2uy/',
|
||||
fov_deg: '108.8 horizontal (2.8mm) / 93.3 horizontal (4mm)',
|
||||
// i18n-ignore: datasheet resolution label (camera data)
|
||||
resolution: { mp: 8, w: 3840, h: 2160, label: '8MP (4K)' },
|
||||
night_vision: { type: 'color', range_m: 40 },
|
||||
environment: ['outdoor'],
|
||||
ndaa_compliant: false,
|
||||
},
|
||||
{
|
||||
id: 'axis-f4105-lre',
|
||||
brand: 'Axis',
|
||||
model: 'F4105-LRE',
|
||||
type: 'dome',
|
||||
url: 'https://www.cctv-database.com/camera/axis-f4105-lre/',
|
||||
fov_deg: '110 horizontal, 60 vertical',
|
||||
// i18n-ignore: datasheet resolution label (camera data)
|
||||
resolution: { mp: 2, w: 1920, h: 1080, label: '1080p HD' },
|
||||
night_vision: { type: 'ir', range_m: 10 },
|
||||
environment: ['outdoor'],
|
||||
ndaa_compliant: true,
|
||||
},
|
||||
{
|
||||
id: 'axis-p3707-pe',
|
||||
brand: 'Axis',
|
||||
model: 'P3707-PE',
|
||||
type: 'panoramic',
|
||||
url: 'https://www.cctv-database.com/camera/axis-p3707-pe/',
|
||||
aliases: ['AXIS P3707-PE', 'P3707-PE'],
|
||||
fov_deg: '108-54 horizontal per sensor (4x 1080p)',
|
||||
resolution: {
|
||||
mp: 8,
|
||||
w: 1920,
|
||||
h: 1080,
|
||||
// i18n-ignore: datasheet resolution label (camera data)
|
||||
label: '4x 2MP (8MP total; 4x 1080p)',
|
||||
},
|
||||
lens_count: 4,
|
||||
varifocal: true,
|
||||
environment: ['outdoor'],
|
||||
},
|
||||
{
|
||||
id: 'axis-q6000-e-mk-ii',
|
||||
brand: 'Axis',
|
||||
model: 'Q6000-E Mk II',
|
||||
type: 'panoramic',
|
||||
url: 'https://www.cctv-database.com/camera/axis-q6000-e-mk-ii/',
|
||||
aliases: [
|
||||
'AXIS Q6000-E Mk II',
|
||||
'Q6000-E Mk II 50 Hz',
|
||||
'Q6000-E Mk II 60 Hz',
|
||||
],
|
||||
fov_deg: 'up to 360 combined; 113-152 horizontal per sensor',
|
||||
resolution: {
|
||||
mp: 8,
|
||||
w: 1920,
|
||||
h: 1080,
|
||||
// i18n-ignore: datasheet resolution label (camera data)
|
||||
label: '4x 2MP (8MP total; 4x 1080p)',
|
||||
},
|
||||
lens_count: 4,
|
||||
environment: ['outdoor'],
|
||||
},
|
||||
{
|
||||
id: 'axis-q6054-e',
|
||||
brand: 'Axis',
|
||||
model: 'Q6054-E',
|
||||
type: 'ptz',
|
||||
url: 'https://www.cctv-database.com/camera/axis-q6054-e/',
|
||||
aliases: ['AXIS Q6054-E', 'Q6054-E 50 Hz', 'Q6054-E 60 Hz'],
|
||||
fov_deg: '62.9-2.2 horizontal',
|
||||
// i18n-ignore: datasheet resolution label (camera data)
|
||||
resolution: { mp: 1, w: 1280, h: 720, label: '720p HD' },
|
||||
ptz: true,
|
||||
autotracking: true,
|
||||
varifocal: true,
|
||||
environment: ['outdoor'],
|
||||
},
|
||||
{
|
||||
id: 'axis-q6155-e',
|
||||
brand: 'Axis',
|
||||
model: 'Q6155-E',
|
||||
type: 'ptz',
|
||||
url: 'https://www.cctv-database.com/camera/axis-q6155-e/',
|
||||
aliases: ['AXIS Q6155-E', 'Q6155-E 50 Hz', 'Q6155-E 60 Hz'],
|
||||
fov_deg: '66.7-2.36 horizontal',
|
||||
// i18n-ignore: datasheet resolution label (camera data)
|
||||
resolution: { mp: 2, w: 1920, h: 1080, label: '1080p HD' },
|
||||
ptz: true,
|
||||
autotracking: true,
|
||||
varifocal: true,
|
||||
environment: ['outdoor'],
|
||||
},
|
||||
{
|
||||
id: 'bosch-autodome-500i',
|
||||
brand: 'Bosch',
|
||||
model: 'AutoDome 500i Series (VG4)',
|
||||
type: 'ptz',
|
||||
url: 'https://www.cctv-database.com/camera/bosch-autodome-500i/',
|
||||
aliases: [
|
||||
'VG4 AUTODOME',
|
||||
'VG4 AUTODOME H.264',
|
||||
'AutoDome 500i',
|
||||
'AutoDome 500i Series',
|
||||
'VG4-500i',
|
||||
'VG4-500',
|
||||
],
|
||||
fov_deg: '57.8-1.7 horizontal',
|
||||
// i18n-ignore: datasheet resolution label (camera data)
|
||||
resolution: { mp: 0.4, label: '540 TVL (NTSC/PAL)' },
|
||||
ptz: true,
|
||||
autotracking: true,
|
||||
varifocal: true,
|
||||
environment: ['outdoor'],
|
||||
},
|
||||
{
|
||||
id: 'bosch-autodome-ip-dynamic-7000-hd',
|
||||
brand: 'Bosch',
|
||||
model: 'AUTODOME IP dynamic 7000 HD',
|
||||
type: 'ptz',
|
||||
url: 'https://www.cctv-database.com/camera/bosch-autodome-ip-dynamic-7000-hd/',
|
||||
aliases: ['AUTODOME IP dynamic 7000 HD', 'AUTODOME 7000 dynamic HD'],
|
||||
fov_deg: '65-2.3 horizontal',
|
||||
// i18n-ignore: datasheet resolution label (camera data)
|
||||
resolution: { mp: 2, w: 1920, h: 1080, label: '1080p HD (2MP)' },
|
||||
ptz: true,
|
||||
autotracking: true,
|
||||
varifocal: true,
|
||||
environment: ['outdoor'],
|
||||
},
|
||||
{
|
||||
id: 'bosch-autodome-ip-starlight-7000-hd',
|
||||
brand: 'Bosch',
|
||||
model: 'AUTODOME IP starlight 7000 HD',
|
||||
type: 'ptz',
|
||||
url: 'https://www.cctv-database.com/camera/bosch-autodome-ip-starlight-7000-hd/',
|
||||
aliases: [
|
||||
'AUTODOME IP starlight 7000 HD',
|
||||
'Starlight 7000HD',
|
||||
'VG5-7130-CPT4',
|
||||
'VG5-7130',
|
||||
],
|
||||
fov_deg: '59-2.1 horizontal',
|
||||
// i18n-ignore: datasheet resolution label (camera data)
|
||||
resolution: { mp: 1, w: 1280, h: 720, label: '720p HD (1.3MP sensor)' },
|
||||
ptz: true,
|
||||
autotracking: true,
|
||||
varifocal: true,
|
||||
environment: ['outdoor'],
|
||||
},
|
||||
{
|
||||
id: 'bosch-ndp-5502-30',
|
||||
brand: 'Bosch',
|
||||
model: 'AUTODOME IP 5000i (NDP-5502-Z30)',
|
||||
type: 'ptz',
|
||||
url: 'https://www.cctv-database.com/camera/bosch-ndp-5502-30/',
|
||||
aliases: [
|
||||
'AUTODOME IP 5000i',
|
||||
'NDP-5502-Z30',
|
||||
'NDP-5502-Z30C',
|
||||
'NDP-5502-30',
|
||||
],
|
||||
fov_deg: '60.9-2.4 horizontal',
|
||||
// i18n-ignore: datasheet resolution label (camera data)
|
||||
resolution: { mp: 2, w: 1920, h: 1080, label: '1080p HD (2MP)' },
|
||||
ptz: true,
|
||||
varifocal: true,
|
||||
environment: ['outdoor'],
|
||||
},
|
||||
{
|
||||
id: 'bosch-ndp-7512-z30',
|
||||
brand: 'Bosch',
|
||||
model: 'AUTODOME IP starlight 7000i (NDP-7512-Z30)',
|
||||
type: 'ptz',
|
||||
url: 'https://www.cctv-database.com/camera/bosch-ndp-7512-z30/',
|
||||
aliases: [
|
||||
'AUTODOME IP starlight 7000i',
|
||||
'NDP-7512-Z30',
|
||||
'NDP-7512-Z30C',
|
||||
'NDP-7512-Z30K',
|
||||
],
|
||||
fov_deg: '64.7-2.3 horizontal',
|
||||
// i18n-ignore: datasheet resolution label (camera data)
|
||||
resolution: { mp: 2, w: 1920, h: 1080, label: '1080p HD (2MP)' },
|
||||
ptz: true,
|
||||
autotracking: true,
|
||||
varifocal: true,
|
||||
environment: ['outdoor'],
|
||||
},
|
||||
{
|
||||
id: 'bosch-vg5-836-ecev',
|
||||
brand: 'Bosch',
|
||||
model: 'AUTODOME 800 Series HD PTZ (VG5-836-ECEV)',
|
||||
type: 'ptz',
|
||||
url: 'https://www.cctv-database.com/camera/bosch-vg5-836-ecev/',
|
||||
aliases: ['VG5-836-ECEV', 'VG5-836', 'AUTODOME 800 Series'],
|
||||
resolution: { mp: 2, label: '1080p' },
|
||||
ptz: true,
|
||||
autotracking: true,
|
||||
environment: ['outdoor'],
|
||||
},
|
||||
{
|
||||
id: 'cohu-3920-idome',
|
||||
brand: 'Cohu',
|
||||
model: '3920 iDome',
|
||||
type: 'ptz',
|
||||
url: 'https://www.cctv-database.com/camera/cohu-3920-idome/',
|
||||
aliases: [
|
||||
'3920',
|
||||
'3920 Series',
|
||||
'3923',
|
||||
'3925',
|
||||
'3925 Dome',
|
||||
'iDome 3925',
|
||||
'Cohu iDome 3920 Series',
|
||||
],
|
||||
// i18n-ignore: datasheet resolution label (camera data)
|
||||
resolution: { mp: 0.4, label: 'NTSC / 470 TVL' },
|
||||
ptz: true,
|
||||
varifocal: true,
|
||||
environment: ['outdoor'],
|
||||
},
|
||||
{
|
||||
id: 'cohu-3950-iview',
|
||||
brand: 'Cohu',
|
||||
model: '3950 iVIEW',
|
||||
type: 'ptz',
|
||||
url: 'https://www.cctv-database.com/camera/cohu-3950-iview/',
|
||||
aliases: ['3950', '3950 Series', 'Cohu 3950 Series iVIEW'],
|
||||
// i18n-ignore: datasheet resolution label (camera data)
|
||||
resolution: { mp: 0.4, label: 'NTSC / 470 TVL' },
|
||||
ptz: true,
|
||||
varifocal: true,
|
||||
environment: ['outdoor'],
|
||||
},
|
||||
{
|
||||
id: 'cohu-3960',
|
||||
brand: 'Cohu',
|
||||
model: '3960',
|
||||
type: 'ptz',
|
||||
url: 'https://www.cctv-database.com/camera/cohu-3960/',
|
||||
aliases: ['3960 Series', '3964', '3965', 'Cohu 3960 iView'],
|
||||
// i18n-ignore: datasheet resolution label (camera data)
|
||||
resolution: { mp: 0.4, label: 'NTSC/PAL / 470 TVL' },
|
||||
ptz: true,
|
||||
varifocal: true,
|
||||
environment: ['outdoor'],
|
||||
},
|
||||
];
|
||||
|
||||
/** Lowercase + collapse whitespace, the shared normal form for matching. */
|
||||
function normalize(value) {
|
||||
return String(value || '')
|
||||
.trim()
|
||||
.toLowerCase()
|
||||
.replace(/\s+/g, ' ');
|
||||
}
|
||||
|
||||
/**
|
||||
* Whitespace words of a name, lowercased, with surrounding punctuation trimmed
|
||||
* so "(NDP-7512-Z30)" reads as "ndp-7512-z30". Inner hyphens and dots stay:
|
||||
* "f4105-lre-unknown" is one word, never "f4105-lre" plus noise.
|
||||
* @param {string} value
|
||||
* @returns {string[]}
|
||||
*/
|
||||
function words(value) {
|
||||
return normalize(value)
|
||||
.split(' ')
|
||||
.map((raw) => raw.replace(/^[^a-z0-9]+|[^a-z0-9]+$/g, ''))
|
||||
.filter(Boolean);
|
||||
}
|
||||
|
||||
/**
|
||||
* Descriptor words that never identify hardware: product-type nouns, codec
|
||||
* and resolution/zoom/frequency tokens ("h.264", "2mp", "40x", "1080p").
|
||||
*/
|
||||
const GENERIC_WORDS = new Set([
|
||||
'network',
|
||||
'camera',
|
||||
'cam',
|
||||
'ip',
|
||||
'ptz',
|
||||
'dome',
|
||||
'bullet',
|
||||
'box',
|
||||
'hd',
|
||||
'ir',
|
||||
'outdoor',
|
||||
'indoor',
|
||||
'series',
|
||||
]);
|
||||
|
||||
function isGeneric(word) {
|
||||
return (
|
||||
GENERIC_WORDS.has(word) ||
|
||||
/^h\.?\d+$/.test(word) ||
|
||||
/^\d+(?:\.\d+)?(?:mp|p|k|x|mm|hz|tvl)$/.test(word)
|
||||
);
|
||||
}
|
||||
|
||||
/** A model code: letters AND digits, and not a generic descriptor. */
|
||||
function isModelCode(word) {
|
||||
return /[a-z]/.test(word) && /\d/.test(word) && !isGeneric(word);
|
||||
}
|
||||
|
||||
/** Hyphenated variant suffixes that do not change the hardware. */
|
||||
const VARIANT_SUFFIXES = new Set(['50hz', '60hz', 'ntsc', 'pal']);
|
||||
|
||||
/** "q6155-e-60hz" → "q6155-e"; "f4105-lre-unknown" is left as is. */
|
||||
function stripVariantSuffix(word) {
|
||||
let out = word;
|
||||
for (;;) {
|
||||
const cut = out.lastIndexOf('-');
|
||||
if (cut <= 0 || !VARIANT_SUFFIXES.has(out.slice(cut + 1))) return out;
|
||||
out = out.slice(0, cut);
|
||||
}
|
||||
}
|
||||
|
||||
/** Manufacturer names (lowercased words) accepted for each record brand. */
|
||||
const BRAND_ALIASES = {
|
||||
Hanwha: ['wisenet', 'samsung'],
|
||||
Hikvision: ['hiwatch'],
|
||||
};
|
||||
|
||||
function brandWords(record) {
|
||||
return new Set([
|
||||
...words(record.brand),
|
||||
...(BRAND_ALIASES[record.brand] || []),
|
||||
]);
|
||||
}
|
||||
|
||||
/**
|
||||
* One entry per record name (model + aliases). `required` is every
|
||||
* non-generic word of the name — all must appear in a query, so a generation
|
||||
* or suffix ("Mk II", "7000i" vs "7000") is never dropped. `hasCode` marks
|
||||
* names carrying a letter+digit model code; names without one ("3950",
|
||||
* "01959-004", "AUTODOME 800 Series") match only when the brand does.
|
||||
*/
|
||||
const NAME_INDEX = RECORDS.flatMap((record) => {
|
||||
const brand = brandWords(record);
|
||||
return [record.model, ...(record.aliases || [])].map((name) => {
|
||||
const nameWords = words(name);
|
||||
return {
|
||||
record,
|
||||
brand,
|
||||
allowed: new Set(nameWords),
|
||||
required: nameWords.filter((word) => !isGeneric(word)),
|
||||
hasCode: nameWords.some(isModelCode),
|
||||
};
|
||||
});
|
||||
});
|
||||
|
||||
/**
|
||||
* Looks up a spec record for a hardware-model string.
|
||||
*
|
||||
* A record name matches when every non-generic word of that name appears in
|
||||
* the query (case-insensitive, punctuation-trimmed) and every other query word
|
||||
* is generic or the record's brand. That lets a VERBOSE registry string
|
||||
* resolve — "AXIS Q6155-E PTZ Dome Network Camera" finds the Q6155-E — while
|
||||
* an unrelated code ("Q1615"), a generation suffix ("Mk II") or a longer part
|
||||
* number ("F4105-LRE-UNKNOWN") rejects the match. Codec, resolution and
|
||||
* product-type words never identify hardware on their own. A name with no
|
||||
* letter+digit model code ("3950") needs the brand, from `manufacturer` or the
|
||||
* query itself. A `manufacturer` that is not the record's brand always
|
||||
* rejects. Matches on two different records are ambiguous → null (never
|
||||
* guesses).
|
||||
* @param {string} model - Hardware model as named by a source pack or seed.
|
||||
* @param {string} [manufacturer] - The source's manufacturer, when published.
|
||||
* @returns {Object|null} The verbatim spec record, or null when unknown.
|
||||
*/
|
||||
export function lookupModelSpec(model, manufacturer) {
|
||||
const query = words(model).map(stripVariantSuffix);
|
||||
if (!query.length) return null;
|
||||
const maker = words(manufacturer);
|
||||
const found = new Set();
|
||||
for (const entry of NAME_INDEX) {
|
||||
const makerMatches = maker.some((word) => entry.brand.has(word));
|
||||
if (maker.length && !makerMatches) continue;
|
||||
if (
|
||||
!entry.hasCode &&
|
||||
!makerMatches &&
|
||||
!query.some((word) => entry.brand.has(word))
|
||||
)
|
||||
continue;
|
||||
if (!entry.required.length) continue;
|
||||
if (!entry.required.every((word) => query.includes(word))) continue;
|
||||
if (
|
||||
!query.every(
|
||||
(word) =>
|
||||
entry.allowed.has(word) || entry.brand.has(word) || isGeneric(word),
|
||||
)
|
||||
)
|
||||
continue;
|
||||
found.add(entry.record);
|
||||
}
|
||||
return found.size === 1 ? [...found][0] : null;
|
||||
}
|
||||
|
||||
/**
|
||||
* Datasheet horizontal FOV as the range the hardware can cover. Only
|
||||
* segments stating a horizontal figure count — vertical and "combined"
|
||||
* panoramic figures never do — and parenthesized lens/sensor notes are
|
||||
* ignored. A zoom ('58.3-2.4 horizontal') and a lens-option list
|
||||
* ('108.8 horizontal (2.8mm) / 93.3 horizontal (4mm)') both yield a range.
|
||||
* @param {Object} spec - A record from this module.
|
||||
* @returns {{minDeg:number, maxDeg:number}|null} Null when unstated.
|
||||
*/
|
||||
export function horizontalFovRangeDeg(spec) {
|
||||
const values = [];
|
||||
for (const segment of String(spec?.fov_deg || '').split(/[/;,]/)) {
|
||||
if (!/horizontal/i.test(segment)) continue;
|
||||
const figures = segment.replace(/\([^)]*\)/g, '').split(/horizontal/i)[0];
|
||||
for (const match of figures.matchAll(/\d+(?:\.\d+)?/g)) {
|
||||
const value = Number(match[0]);
|
||||
if (Number.isFinite(value) && value > 0) values.push(value);
|
||||
}
|
||||
}
|
||||
if (!values.length) return null;
|
||||
return { minDeg: Math.min(...values), maxDeg: Math.max(...values) };
|
||||
}
|
||||
|
||||
/**
|
||||
* The datasheet horizontal FOV as the camera's CURRENT optical state, which
|
||||
* holds only for fixed single-lens hardware stating one figure. PTZ,
|
||||
* varifocal and multi-sensor models publish a capability range whose in-use
|
||||
* value is unknown — known hardware capability is not known pose state — so
|
||||
* they return null and keep their estimated FOV.
|
||||
* @param {Object} spec - A record from this module.
|
||||
* @returns {number|null} Fixed horizontal FOV in degrees, or null.
|
||||
*/
|
||||
export function fixedHorizontalFovDeg(spec) {
|
||||
if (!spec || spec.ptz || spec.varifocal || (spec.lens_count || 1) > 1)
|
||||
return null;
|
||||
const range = horizontalFovRangeDeg(spec);
|
||||
return range && range.minDeg === range.maxDeg ? range.minDeg : null;
|
||||
}
|
||||
|
||||
/**
|
||||
* True when the camera's CURRENT FOV is the datasheet figure: it was filled
|
||||
* from a fixed-lens datasheet and no manual calibration offset has moved it.
|
||||
* @param {Object} camera - Catalog camera (see applyModelEnrichment).
|
||||
* @returns {boolean}
|
||||
*/
|
||||
export function isDatasheetFov(camera) {
|
||||
return camera?.fovSource === 'datasheet' && !camera.calibration?.fovDeg;
|
||||
}
|
||||
|
||||
/**
|
||||
* HUD token for a datasheet FOV that describes capability rather than the
|
||||
* camera's current state, e.g. 'SPEC FOV 2.4–58° (CAPABILITY)'.
|
||||
* @param {Object} camera - Catalog camera (see applyModelEnrichment).
|
||||
* @param {(span: string) => string} [format] Builds the token from the
|
||||
* degree span; the HUD passes a translated one.
|
||||
* @returns {string|null} Null when the datasheet FOV already IS the camera's
|
||||
* FOV (fixed lens) or no datasheet range is known.
|
||||
*/
|
||||
export function specFovCapabilityToken(
|
||||
camera,
|
||||
format = (span) => `SPEC FOV ${span}° (CAPABILITY)`,
|
||||
) {
|
||||
if (!camera || camera.fovSource === 'datasheet') return null;
|
||||
const { specFovMinDeg: min, specFovMaxDeg: max } = camera;
|
||||
if (!Number.isFinite(min) || !Number.isFinite(max)) return null;
|
||||
const fmt = (deg) => (deg < 10 ? deg.toFixed(1) : String(Math.round(deg)));
|
||||
const span = min === max ? fmt(max) : `${fmt(min)}–${fmt(max)}`;
|
||||
return format(span);
|
||||
}
|
||||
|
||||
/**
|
||||
* One-line spec summary for HUD meta text.
|
||||
* @param {Object} spec - A record from this module.
|
||||
* @returns {string} e.g. 'Axis Q6135-LE · 1080p · IR 250m · PTZ' ('' for null).
|
||||
*/
|
||||
export function specSummary(spec) {
|
||||
if (!spec) return '';
|
||||
const parts = [`${spec.brand} ${spec.model}`];
|
||||
if (spec.resolution?.label) parts.push(spec.resolution.label);
|
||||
if (spec.night_vision) {
|
||||
parts.push(
|
||||
`${spec.night_vision.type.toUpperCase()}${spec.night_vision.range_m ? ` ${spec.night_vision.range_m}m` : ''}`,
|
||||
);
|
||||
}
|
||||
if (spec.ptz) parts.push('PTZ');
|
||||
return parts.join(' · ');
|
||||
}
|
||||
@@ -0,0 +1,301 @@
|
||||
// src/layers/cctv/modelSpecs.test.mjs
|
||||
// Hardware-model spec enrichment: lookup semantics (case-insensitive, alias
|
||||
// matching, unknown → null — never a guess), datasheet-FOV parsing across the
|
||||
// real fov_deg string shapes, and the HUD spec-summary line.
|
||||
import { test } from 'node:test';
|
||||
import assert from 'node:assert/strict';
|
||||
import {
|
||||
lookupModelSpec,
|
||||
horizontalFovRangeDeg,
|
||||
fixedHorizontalFovDeg,
|
||||
specFovCapabilityToken,
|
||||
isDatasheetFov,
|
||||
specSummary,
|
||||
} from './modelSpecs.js';
|
||||
import { createCatalog } from './catalog.js';
|
||||
|
||||
test('lookupModelSpec matches case-insensitively and trims', () => {
|
||||
const spec = lookupModelSpec(' q6135-le ');
|
||||
assert.ok(spec);
|
||||
assert.equal(spec.brand, 'Axis');
|
||||
assert.equal(lookupModelSpec('Q6135-LE'), spec);
|
||||
});
|
||||
|
||||
test('lookupModelSpec matches aliases', () => {
|
||||
// A part number without letters needs the brand.
|
||||
const byAlias = lookupModelSpec('01959-004', 'Axis');
|
||||
assert.ok(byAlias);
|
||||
assert.equal(byAlias.model, 'Q6135-LE');
|
||||
});
|
||||
|
||||
test('vendored table covers the integrated catalogs published hardware', () => {
|
||||
// Models the live packs publish: King County (Cohu, AUTODOME IP 5000i),
|
||||
// Sarasota (Bosch AUTODOME 7000/VG4), Sioux Falls (Axis).
|
||||
// King County publishes "3950" with Manufacturer "Cohu".
|
||||
const cohu = lookupModelSpec('3950', 'Cohu');
|
||||
assert.equal(cohu?.brand, 'Cohu');
|
||||
const autodome = lookupModelSpec('AUTODOME IP 5000i');
|
||||
assert.ok(autodome && horizontalFovRangeDeg(autodome).maxDeg > 0);
|
||||
const vg4 = lookupModelSpec('VG4 AUTODOME H.264'); // Sarasota's string
|
||||
assert.ok(vg4);
|
||||
const axis = lookupModelSpec('Q6155-E'); // Sioux Falls
|
||||
assert.deepEqual(horizontalFovRangeDeg(axis), { minDeg: 2.36, maxDeg: 66.7 });
|
||||
});
|
||||
|
||||
test('verbose registry strings resolve via distinctive-token fallback', () => {
|
||||
// Sioux Falls publishes the full product title, not the bare model.
|
||||
assert.equal(
|
||||
lookupModelSpec('AXIS Q6155-E PTZ Dome Network Camera')?.model,
|
||||
'Q6155-E',
|
||||
);
|
||||
assert.equal(lookupModelSpec('AXIS Q6000-E Mk II')?.model, 'Q6000-E Mk II');
|
||||
assert.equal(
|
||||
lookupModelSpec('AUTODOME IP starlight 7000i camera')?.id,
|
||||
'bosch-ndp-7512-z30',
|
||||
);
|
||||
// Punctuation around the model token doesn't defeat the match.
|
||||
assert.equal(
|
||||
lookupModelSpec('camera (P3707-PE), outdoor')?.model,
|
||||
'P3707-PE',
|
||||
);
|
||||
});
|
||||
|
||||
test('token fallback never matches on generic words or wrong models', () => {
|
||||
// Only generic descriptors — no distinctive hardware token — stays null.
|
||||
assert.equal(lookupModelSpec('PTZ Dome Camera'), null);
|
||||
assert.equal(lookupModelSpec('HD Network Camera'), null);
|
||||
assert.equal(lookupModelSpec('Outdoor Dome Camera'), null);
|
||||
// A real-looking but unknown model resolves to nothing, not a near neighbour.
|
||||
assert.equal(lookupModelSpec('AXIS FooBar-9 Network Camera'), null);
|
||||
// A generation token alone must not collide with a similar one: "7000"
|
||||
// belongs to two records (dynamic / starlight 7000 HD), so a bare
|
||||
// "AUTODOME 7000" is ambiguous → null rather than an arbitrary pick.
|
||||
assert.equal(lookupModelSpec('AUTODOME 7000'), null);
|
||||
});
|
||||
|
||||
test('exact match still wins over the token fallback', () => {
|
||||
// "3965" is an alias of the 3960, not the 3950.
|
||||
assert.equal(lookupModelSpec('3965', 'Cohu')?.id, 'cohu-3960');
|
||||
assert.equal(lookupModelSpec('AUTODOME IP 5000i')?.id, 'bosch-ndp-5502-30');
|
||||
});
|
||||
|
||||
test('lookupModelSpec returns null for unknown or empty input — never guesses', () => {
|
||||
assert.equal(lookupModelSpec('NOT-A-REAL-MODEL'), null);
|
||||
assert.equal(lookupModelSpec(''), null);
|
||||
assert.equal(lookupModelSpec(null), null);
|
||||
assert.equal(lookupModelSpec(undefined), null);
|
||||
});
|
||||
|
||||
test('horizontalFovRangeDeg reads the full range across real fov_deg shapes', () => {
|
||||
const range = (model) => horizontalFovRangeDeg(lookupModelSpec(model));
|
||||
// PTZ zoom: both ends, not just the wide one.
|
||||
assert.deepEqual(range('Q6135-LE'), { minDeg: 2.4, maxDeg: 58.3 });
|
||||
// Vertical figures never count.
|
||||
assert.deepEqual(range('XNP-6400RW'), { minDeg: 1.88, maxDeg: 65.66 });
|
||||
// Lens options: parenthesized focal lengths are not FOV figures.
|
||||
assert.deepEqual(range('DS-2CD2087G3-LI2UY'), {
|
||||
minDeg: 93.3,
|
||||
maxDeg: 108.8,
|
||||
});
|
||||
assert.deepEqual(range('F4105-LRE'), { minDeg: 110, maxDeg: 110 });
|
||||
// The "360 combined" panoramic figure is not a horizontal lens FOV.
|
||||
assert.deepEqual(range('Q6000-E Mk II'), { minDeg: 113, maxDeg: 152 });
|
||||
assert.deepEqual(range('P3707-PE'), { minDeg: 54, maxDeg: 108 });
|
||||
});
|
||||
|
||||
test('horizontalFovRangeDeg returns null when no numeric FOV is stated', () => {
|
||||
assert.equal(horizontalFovRangeDeg({ fov_deg: '' }), null);
|
||||
assert.equal(horizontalFovRangeDeg({ fov_deg: 'wide dynamic range' }), null);
|
||||
assert.equal(horizontalFovRangeDeg({ fov_deg: '60 vertical' }), null);
|
||||
assert.equal(horizontalFovRangeDeg({}), null);
|
||||
assert.equal(horizontalFovRangeDeg(null), null);
|
||||
});
|
||||
|
||||
test('fixedHorizontalFovDeg is the current FOV only for fixed single-lens hardware', () => {
|
||||
// Fixed dome, one horizontal figure: the datasheet IS the optical state.
|
||||
assert.equal(fixedHorizontalFovDeg(lookupModelSpec('F4105-LRE')), 110);
|
||||
// Known hardware capability != known pose state: PTZ, multi-sensor, and a
|
||||
// model sold in several lens options all stay estimated.
|
||||
for (const model of [
|
||||
'Q6135-LE',
|
||||
'XNP-6400RW',
|
||||
'AUTODOME IP 5000i',
|
||||
'P3707-PE',
|
||||
'Q6000-E Mk II',
|
||||
'DS-2CD2087G3-LI2UY',
|
||||
]) {
|
||||
assert.equal(fixedHorizontalFovDeg(lookupModelSpec(model)), null, model);
|
||||
}
|
||||
assert.equal(fixedHorizontalFovDeg(null), null);
|
||||
});
|
||||
|
||||
test('specFovCapabilityToken labels a datasheet range as capability, never as current FOV', () => {
|
||||
assert.equal(
|
||||
specFovCapabilityToken({ specFovMinDeg: 2.4, specFovMaxDeg: 58.3 }),
|
||||
'SPEC FOV 2.4–58° (CAPABILITY)',
|
||||
);
|
||||
assert.equal(
|
||||
specFovCapabilityToken({ specFovMinDeg: 113, specFovMaxDeg: 113 }),
|
||||
'SPEC FOV 113° (CAPABILITY)',
|
||||
);
|
||||
// Already the camera's FOV (fixed lens) or nothing known: no token.
|
||||
assert.equal(
|
||||
specFovCapabilityToken({
|
||||
fovSource: 'datasheet',
|
||||
specFovMinDeg: 110,
|
||||
specFovMaxDeg: 110,
|
||||
}),
|
||||
null,
|
||||
);
|
||||
assert.equal(specFovCapabilityToken({}), null);
|
||||
assert.equal(specFovCapabilityToken(null), null);
|
||||
});
|
||||
|
||||
/** Browser catalog with the pose math stubbed: only enrichment is under test. */
|
||||
function browserCatalog() {
|
||||
const model = {
|
||||
safeNumber: (value, fallback = NaN) =>
|
||||
Number.isFinite(Number(value)) ? Number(value) : fallback,
|
||||
normalizeHeading: (deg) => ((deg % 360) + 360) % 360,
|
||||
clamp: (value, lo, hi) => Math.min(hi, Math.max(lo, value)),
|
||||
headingFromId: () => 0,
|
||||
normalizeFeedType: (type) => type,
|
||||
ensureCameraPose: () => {},
|
||||
};
|
||||
return createCatalog({
|
||||
state: {},
|
||||
services: { locations: { CITY_POIS: {} } },
|
||||
parts: { model },
|
||||
source: {},
|
||||
});
|
||||
}
|
||||
|
||||
test('catalog keeps the estimated FOV for PTZ hardware and fills only fixed-lens datasheets', () => {
|
||||
const [ptz, fixed, unknown] = browserCatalog().buildCatalogFromSources([
|
||||
{ id: 'ptz', lat: 47.7, lon: -122, fovDeg: 44, model: 'Q6135-LE' },
|
||||
{ id: 'fixed', lat: 47.7, lon: -122, model: 'F4105-LRE' },
|
||||
{ id: 'unknown', lat: 47.7, lon: -122, fovDeg: 44, model: 'NOPE-1' },
|
||||
]);
|
||||
|
||||
// PTZ: the frustum keeps its estimate; the datasheet range is metadata.
|
||||
assert.equal(ptz.fovDeg, 44);
|
||||
assert.equal(ptz.fovSource, undefined);
|
||||
assert.equal(ptz.specFovMinDeg, 2.4);
|
||||
assert.equal(ptz.specFovMaxDeg, 58.3);
|
||||
assert.equal(ptz.spec.model, 'Q6135-LE');
|
||||
|
||||
// Fixed lens: the datasheet figure is the optical state.
|
||||
assert.equal(fixed.fovDeg, 110);
|
||||
assert.equal(fixed.fovSource, 'datasheet');
|
||||
|
||||
// Unknown hardware changes nothing.
|
||||
assert.equal(unknown.fovDeg, 44);
|
||||
assert.equal(unknown.spec, undefined);
|
||||
assert.equal(unknown.specFovMaxDeg, undefined);
|
||||
});
|
||||
|
||||
test('codec, format and product words never identify hardware', () => {
|
||||
// "h.264" is in the VG4 AUTODOME alias; it is a codec, not a model code.
|
||||
assert.equal(lookupModelSpec('Axis Q1615 H.264 Network Camera'), null);
|
||||
assert.equal(lookupModelSpec('H.264 Network Camera'), null);
|
||||
assert.equal(lookupModelSpec('H.265 IP Camera'), null);
|
||||
});
|
||||
|
||||
test('generation and suffix distinctions are preserved', () => {
|
||||
// A Mk II is not the vendored (Mk I) Q6135-LE.
|
||||
assert.equal(lookupModelSpec('AXIS Q6135-LE Mk II'), null);
|
||||
// A longer part number is a different product...
|
||||
assert.equal(lookupModelSpec('F4105-LRE-UNKNOWN'), null);
|
||||
// ...unless the rest is a mains-frequency variant suffix.
|
||||
assert.equal(lookupModelSpec('Q6155-E-60Hz')?.id, 'axis-q6155-e');
|
||||
});
|
||||
|
||||
test('manufacturer must agree with the record brand', () => {
|
||||
// Purely numeric models need a brand match.
|
||||
assert.equal(lookupModelSpec('3950'), null);
|
||||
assert.equal(lookupModelSpec('Pelco 3950'), null);
|
||||
assert.equal(lookupModelSpec('3950', 'Pelco'), null);
|
||||
// A model code under the wrong manufacturer is not that record either.
|
||||
assert.equal(lookupModelSpec('Q6135-LE', 'Hikvision'), null);
|
||||
// Case-insensitive, with company suffixes and aliases.
|
||||
assert.equal(lookupModelSpec('3950', 'COHU')?.id, 'cohu-3950-iview');
|
||||
assert.equal(
|
||||
lookupModelSpec('Q6135-LE', 'Axis Communications AB')?.id,
|
||||
'axis-q6135-le',
|
||||
);
|
||||
assert.equal(
|
||||
lookupModelSpec('XNP-6400RW', 'Hanwha Vision')?.id,
|
||||
'hanwha-xnp-6400rw',
|
||||
);
|
||||
assert.equal(
|
||||
lookupModelSpec('XNP-6400RW', 'Wisenet')?.id,
|
||||
'hanwha-xnp-6400rw',
|
||||
);
|
||||
});
|
||||
|
||||
test('King County snapshot model strings still resolve', () => {
|
||||
// Model/Manufacturer pairs as published in the King County feed.
|
||||
assert.equal(lookupModelSpec('3950', 'Cohu')?.id, 'cohu-3950-iview');
|
||||
assert.equal(lookupModelSpec('3965', 'Cohu')?.id, 'cohu-3960');
|
||||
assert.equal(lookupModelSpec('3925 Dome', 'Cohu')?.id, 'cohu-3920-idome');
|
||||
assert.equal(lookupModelSpec('Q6135-LE', 'Axis')?.id, 'axis-q6135-le');
|
||||
assert.equal(
|
||||
lookupModelSpec('AUTODOME IP 5000i', 'BOSCH')?.id,
|
||||
'bosch-ndp-5502-30',
|
||||
);
|
||||
});
|
||||
|
||||
test('catalog never overwrites an explicit FOV or a curated pose', () => {
|
||||
const [explicit, curated, cohu, pelco] =
|
||||
browserCatalog().buildCatalogFromSources([
|
||||
{ id: 'explicit', lat: 47.7, lon: -122, fovDeg: 44, model: 'F4105-LRE' },
|
||||
{
|
||||
id: 'curated',
|
||||
lat: 47.7,
|
||||
lon: -122,
|
||||
model: 'F4105-LRE',
|
||||
poseSource: 'curated',
|
||||
},
|
||||
{ id: 'cohu', lat: 47.7, lon: -122, model: '3950', manufacturer: 'Cohu' },
|
||||
{
|
||||
id: 'pelco',
|
||||
lat: 47.7,
|
||||
lon: -122,
|
||||
model: '3950',
|
||||
manufacturer: 'Pelco',
|
||||
},
|
||||
]);
|
||||
assert.equal(explicit.fovDeg, 44);
|
||||
assert.equal(explicit.fovSource, undefined);
|
||||
assert.equal(explicit.spec.model, 'F4105-LRE');
|
||||
assert.equal(curated.fovDeg, 74);
|
||||
assert.equal(curated.fovSource, undefined);
|
||||
// The source's manufacturer reaches the lookup.
|
||||
assert.equal(cohu.spec?.id, 'cohu-3950-iview');
|
||||
assert.equal(pelco.spec, undefined);
|
||||
});
|
||||
|
||||
test('the DATASHEET label drops once calibration moves the FOV', () => {
|
||||
const camera = { fovSource: 'datasheet', fovDeg: 110 };
|
||||
assert.equal(isDatasheetFov(camera), true);
|
||||
assert.equal(isDatasheetFov({ ...camera, calibration: { fovDeg: 0 } }), true);
|
||||
assert.equal(
|
||||
isDatasheetFov({ ...camera, calibration: { fovDeg: 6 } }),
|
||||
false,
|
||||
);
|
||||
assert.equal(isDatasheetFov({ fovDeg: 74 }), false);
|
||||
assert.equal(isDatasheetFov(null), false);
|
||||
});
|
||||
|
||||
test('specSummary renders the HUD line and degrades by omission', () => {
|
||||
assert.equal(
|
||||
specSummary(lookupModelSpec('Q6135-LE')),
|
||||
'Axis Q6135-LE · 1080p · IR 250m · PTZ',
|
||||
);
|
||||
// No night vision / no PTZ → those segments are simply absent.
|
||||
assert.equal(
|
||||
specSummary({ brand: 'Axis', model: 'X', resolution: { label: '4K' } }),
|
||||
'Axis X · 4K',
|
||||
);
|
||||
assert.equal(specSummary(null), '');
|
||||
});
|
||||
@@ -2,6 +2,11 @@ import { CCTV_AMBIENT_CARD_MAX } from '../../data/cctvLod.js';
|
||||
import { t } from '../../i18n/index.js';
|
||||
import { ACTIVE_FRAME_REFRESH_MS, IDLE_FRAME_REFRESH_MS } from './policy.js';
|
||||
import { headingHudToken, isHeadingEstimated } from './headingConfidence.js';
|
||||
import {
|
||||
specSummary,
|
||||
specFovCapabilityToken,
|
||||
isDatasheetFov,
|
||||
} from './modelSpecs.js';
|
||||
|
||||
export function createPresentation({
|
||||
state: layerState,
|
||||
@@ -47,9 +52,20 @@ export function createPresentation({
|
||||
// A synthetic bearing (headingConfidence 'low', no human calibration)
|
||||
// is tagged so a hashed guess never reads as a surveyed facing (#639).
|
||||
headingHudToken(active.camera),
|
||||
t('FOV {value}°', {
|
||||
value: Math.round(active.camera.fovDeg),
|
||||
}),
|
||||
// Identified hardware labels its FOV as datasheet-sourced (catalog.js)
|
||||
// only while no manual calibration offset has moved it.
|
||||
isDatasheetFov(active.camera)
|
||||
? t('FOV {value}° (DATASHEET)', {
|
||||
value: Math.round(active.camera.fovDeg),
|
||||
})
|
||||
: t('FOV {value}°', {
|
||||
value: Math.round(active.camera.fovDeg),
|
||||
}),
|
||||
// A PTZ/varifocal datasheet range is what the lens can do, not its
|
||||
// current zoom, so it is shown beside the estimate, never as it.
|
||||
specFovCapabilityToken(active.camera, (span) =>
|
||||
t('SPEC FOV {span}° (CAPABILITY)', { span }),
|
||||
),
|
||||
t('COVERAGE {value}km²', { value: area.toFixed(2) }),
|
||||
overlapCount > 0
|
||||
? t('OVERLAP {count} cams', { count: overlapCount })
|
||||
@@ -67,6 +83,12 @@ export function createPresentation({
|
||||
value: String(active.camera.feedType || 'image').toUpperCase(),
|
||||
}),
|
||||
t('{value} CONTEXT', { value: viewBand.toUpperCase() }),
|
||||
// Identified hardware: append the model's datasheet specs + attribution.
|
||||
active.camera.spec
|
||||
? t('{spec} · SPECS: CCTV-DATABASE.COM', {
|
||||
spec: specSummary(active.camera.spec).toUpperCase(),
|
||||
})
|
||||
: null,
|
||||
]
|
||||
.filter(Boolean)
|
||||
.join(' · ');
|
||||
@@ -104,6 +126,15 @@ export function createPresentation({
|
||||
headingEstimated: isHeadingEstimated(camera),
|
||||
pitchDeg: camera.pitchDeg,
|
||||
fovDeg: camera.fovDeg,
|
||||
// Identified-hardware enrichment passthrough (catalog.js / modelSpecs.js).
|
||||
fovSource: isDatasheetFov(camera)
|
||||
? 'datasheet'
|
||||
: camera.fovSource === 'datasheet'
|
||||
? 'calibrated'
|
||||
: camera.fovSource || 'estimated',
|
||||
specFovMinDeg: camera.specFovMinDeg ?? null,
|
||||
specFovMaxDeg: camera.specFovMaxDeg ?? null,
|
||||
spec: camera.spec || null,
|
||||
rangeM: camera.rangeM,
|
||||
elevationM: camera.absoluteHeightM,
|
||||
mountHeightM: camera.mountHeightM,
|
||||
|
||||
@@ -221,8 +221,12 @@ export function createIngestion({ state, services, parts, source }) {
|
||||
for (const record of records) {
|
||||
if (isStaleVehicleFix(record, now, fetchedAt)) continue;
|
||||
const key = transitVehicleKey(feed.id, record.id);
|
||||
const mode = transitModeFor(feed, record.routeId);
|
||||
const modeInferred = !transitModeResolved(feed, record.routeId);
|
||||
const mode = transitModeFor(feed, record.routeId, record.id);
|
||||
const modeInferred = !transitModeResolved(
|
||||
feed,
|
||||
record.routeId,
|
||||
record.id,
|
||||
);
|
||||
// A stamp ahead of the fetch is a clock fault; the fetch time bounds it.
|
||||
const stamped = vehicleReportTimeMs(record, fetchedAt);
|
||||
const reportAt =
|
||||
|
||||
@@ -4,7 +4,10 @@
|
||||
* scene state, no network: everything here is exercised by node:test.
|
||||
*/
|
||||
|
||||
import { TRANSIT_MODE_ICON } from '../../data/transitFeeds.js';
|
||||
import {
|
||||
TRANSIT_MODE_ICON,
|
||||
transitRouteLabel,
|
||||
} from '../../data/transitFeeds.js';
|
||||
import { displayMotion, playbackPosition } from './movement.js';
|
||||
|
||||
export const TRANSIT_SELECTED_OVERLAY_SOURCE_ID = 'transit-selected';
|
||||
@@ -379,13 +382,16 @@ export function buildTransitSelectionCopy(
|
||||
) {
|
||||
const icon = TRANSIT_MODE_ICON[mode] || TRANSIT_MODE_ICON.unknown;
|
||||
const routeLabel = record.routeId
|
||||
? t('Route {route}', { route: record.routeId })
|
||||
? t('Route {route}', { route: transitRouteLabel(feed, record.routeId) })
|
||||
: t('Vehicle {vehicle}', { vehicle: record.label || record.id });
|
||||
const title = `${icon} ${routeLabel}`;
|
||||
// The mode is said in words on its own line. A glyph and a route id do not
|
||||
// tell a reader that the dot on Tremont Street is a subway train, and a
|
||||
// subway drawn on a street reads as a bug until the card says what it is.
|
||||
const kindWord = t(TRANSIT_MODE_WORD[mode] || TRANSIT_MODE_WORD.unknown);
|
||||
// An operator's own mode word (feed.modeWords) is a name and stays as is.
|
||||
const kindWord =
|
||||
feed?.modeWords?.[mode]?.word ||
|
||||
t(TRANSIT_MODE_WORD[mode] || TRANSIT_MODE_WORD.unknown);
|
||||
const details = [`${kindWord} · ${feed.name} · ${feed.region}`];
|
||||
const motion = [];
|
||||
// What the SCREEN is doing leads, because that is what the reader can check.
|
||||
@@ -534,17 +540,50 @@ export const TRANSIT_MODE_ABBR = Object.freeze({
|
||||
unknown: 'TRANSIT',
|
||||
});
|
||||
|
||||
/**
|
||||
* The mode in the operator's own vocabulary. A Toronto 501 and a Helsinki 1010
|
||||
* are both the `tram` mode, but only one of them is called a tram by the people
|
||||
* who ride it. A feed may name the modes it runs; everything else falls through
|
||||
* to the shared table, so an override renames one word and nothing else.
|
||||
* @param {string} mode Resolved transit mode.
|
||||
* @param {object|null} [feed] Registry entry.
|
||||
* @returns {string}
|
||||
*/
|
||||
export function transitModeWord(mode, feed = null) {
|
||||
return (
|
||||
feed?.modeWords?.[mode]?.word ||
|
||||
TRANSIT_MODE_WORD[mode] ||
|
||||
TRANSIT_MODE_WORD.unknown
|
||||
);
|
||||
}
|
||||
|
||||
/**
|
||||
* The operator's short mode word for the fixed-width detection fields.
|
||||
* @param {string} mode Resolved transit mode.
|
||||
* @param {object|null} [feed] Registry entry.
|
||||
* @returns {string}
|
||||
*/
|
||||
export function transitModeAbbr(mode, feed = null) {
|
||||
return (
|
||||
feed?.modeWords?.[mode]?.abbr ||
|
||||
TRANSIT_MODE_ABBR[mode] ||
|
||||
TRANSIT_MODE_ABBR.unknown
|
||||
);
|
||||
}
|
||||
|
||||
/**
|
||||
* The bright first line of a vehicle's detection label: its route when the feed
|
||||
* names one, else the fleet number, else the raw id. What a person standing at
|
||||
* the stop would call it.
|
||||
* @param {object} record Normalized vehicle record.
|
||||
* @param {object|null} [feed] Registry entry, for feeds whose route ids are
|
||||
* internal keys rather than the number on the vehicle.
|
||||
* @returns {string}
|
||||
*/
|
||||
export function transitDetectionId(record) {
|
||||
export function transitDetectionId(record, feed = null) {
|
||||
const route =
|
||||
typeof record?.routeId === 'string' ? record.routeId.trim() : '';
|
||||
if (route) return elideRouteText(route);
|
||||
if (route) return elideRouteText(transitRouteLabel(feed, route));
|
||||
const label = typeof record?.label === 'string' ? record.label.trim() : '';
|
||||
if (label) return elideRouteText(label);
|
||||
return elideRouteText(String(record?.id || 'TRANSIT'));
|
||||
@@ -576,7 +615,7 @@ export function elideRouteText(text) {
|
||||
* @returns {string}
|
||||
*/
|
||||
export function transitDetectionClass(mode, feed) {
|
||||
const kind = TRANSIT_MODE_ABBR[mode] || TRANSIT_MODE_ABBR.unknown;
|
||||
const kind = transitModeAbbr(mode, feed);
|
||||
const operator =
|
||||
typeof feed?.name === 'string' ? feed.name.toUpperCase() : '';
|
||||
return operator ? `${kind} ${operator}`.slice(0, 20) : kind;
|
||||
@@ -593,10 +632,17 @@ export function transitDetectionClass(mode, feed) {
|
||||
*
|
||||
* @param {object} record Normalized vehicle record.
|
||||
* @param {string} mode Resolved transit mode.
|
||||
* @param {number} [nowMs]
|
||||
* @param {object|null} [feed] Registry entry, for its own mode vocabulary.
|
||||
* @returns {string}
|
||||
*/
|
||||
export function transitDetectionMetric(entry, mode, nowMs = Date.now()) {
|
||||
const kind = TRANSIT_MODE_ABBR[mode] || TRANSIT_MODE_ABBR.unknown;
|
||||
export function transitDetectionMetric(
|
||||
entry,
|
||||
mode,
|
||||
nowMs = Date.now(),
|
||||
feed = null,
|
||||
) {
|
||||
const kind = transitModeAbbr(mode, feed);
|
||||
const state = transitVehicleState(entry, nowMs);
|
||||
return state ? `${kind} ${state}` : kind;
|
||||
}
|
||||
|
||||
@@ -12,6 +12,20 @@ import {
|
||||
} from '../../data/transitFeeds.js';
|
||||
import { transitModeTier } from '../../data/transitPresetStyle.js';
|
||||
|
||||
/**
|
||||
* The registry entry behind a vehicle. Live feeds answer first so a feed the
|
||||
* session disabled stops supplying vocabulary; the registry is the fallback,
|
||||
* because a vehicle can outlive the poll that brought it.
|
||||
* @param {object} state Layer state.
|
||||
* @param {object} entry Vehicle entry.
|
||||
* @returns {object|null}
|
||||
*/
|
||||
function feedForEntry(state, entry) {
|
||||
const id = entry?.feedId;
|
||||
if (!id) return null;
|
||||
return state._activeFeeds.get(id) || getRegisteredTransitFeed(id) || null;
|
||||
}
|
||||
|
||||
/**
|
||||
* The layer row's answer to "what is on screen and is it honest?".
|
||||
* @param {object} context
|
||||
@@ -101,6 +115,7 @@ export function createQueries({ state, parts }) {
|
||||
contact._entry,
|
||||
contact._entry.mode,
|
||||
now,
|
||||
feedForEntry(state, contact._entry),
|
||||
);
|
||||
return;
|
||||
}
|
||||
@@ -128,14 +143,17 @@ export function createQueries({ state, parts }) {
|
||||
// Route and operator text change with the record and the mode, both of
|
||||
// which arrive on polls — the same events that rebuild this list.
|
||||
if (!entry.labelId || entry.labelRecord !== entry.record) {
|
||||
entry.labelId = transitDetectionId(entry.record);
|
||||
entry.labelId = transitDetectionId(
|
||||
entry.record,
|
||||
feedForEntry(state, entry),
|
||||
);
|
||||
entry.labelRecord = entry.record;
|
||||
}
|
||||
if (!entry.labelClass || entry.labelMode !== entry.mode) {
|
||||
const feed =
|
||||
state._activeFeeds.get(entry.feedId) ||
|
||||
getRegisteredTransitFeed(entry.feedId);
|
||||
entry.labelClass = transitDetectionClass(entry.mode, feed);
|
||||
entry.labelClass = transitDetectionClass(
|
||||
entry.mode,
|
||||
feedForEntry(state, entry),
|
||||
);
|
||||
entry.labelMode = entry.mode;
|
||||
}
|
||||
const contact = {
|
||||
@@ -146,7 +164,12 @@ export function createQueries({ state, parts }) {
|
||||
id: entry.labelId,
|
||||
type: 'VEH',
|
||||
klass: entry.labelClass,
|
||||
metric: transitDetectionMetric(entry, entry.mode, now),
|
||||
metric: transitDetectionMetric(
|
||||
entry,
|
||||
entry.mode,
|
||||
now,
|
||||
feedForEntry(state, entry),
|
||||
),
|
||||
// The bracket carries the mode colour in every preset: the detection
|
||||
// canvas sits above the post-FX chain, where the sprites' own colour
|
||||
// is lost under NVG and FLIR. Keyless too — the feeds are keyless.
|
||||
|
||||
@@ -0,0 +1,76 @@
|
||||
import test from 'node:test';
|
||||
import assert from 'node:assert/strict';
|
||||
import {
|
||||
buildTransitSelectionCopy,
|
||||
transitDetectionClass,
|
||||
transitDetectionId,
|
||||
transitDetectionMetric,
|
||||
transitModeAbbr,
|
||||
transitModeWord,
|
||||
} from './policy.js';
|
||||
import { getTransitFeed } from '../../data/transitFeeds.js';
|
||||
|
||||
const ttc = () => getTransitFeed('ttc-toronto');
|
||||
const hsl = () => getTransitFeed('hsl-helsinki');
|
||||
|
||||
test('an operator that names its own vehicles overrides the shared mode word', () => {
|
||||
// A Toronto 501 is a streetcar. A Helsinki 1010 is a tram. Both are the
|
||||
// `tram` mode, so the word a reader sees has to come from the operator,
|
||||
// not from the mode.
|
||||
assert.equal(transitModeWord('tram', ttc()), 'Streetcar');
|
||||
assert.equal(transitModeAbbr('tram', ttc()), 'STREETCAR');
|
||||
assert.equal(transitModeWord('tram', hsl()), 'Tram');
|
||||
assert.equal(transitModeAbbr('tram', hsl()), 'TRAM');
|
||||
});
|
||||
|
||||
test('an override renames one mode, never the rest of the feed', () => {
|
||||
assert.equal(transitModeWord('bus', ttc()), 'Bus');
|
||||
assert.equal(transitModeWord('subway', ttc()), 'Subway');
|
||||
assert.equal(transitModeAbbr('bus', ttc()), 'BUS');
|
||||
});
|
||||
|
||||
test('a missing feed or unknown mode falls back to the shared table', () => {
|
||||
assert.equal(transitModeWord('tram', null), 'Tram');
|
||||
assert.equal(transitModeWord('spaceship', ttc()), 'Transit vehicle');
|
||||
assert.equal(transitModeAbbr('spaceship', ttc()), 'TRANSIT');
|
||||
assert.equal(transitModeWord('tram', { name: 'No override' }), 'Tram');
|
||||
});
|
||||
|
||||
test('the selection card calls a Toronto 501 a streetcar', () => {
|
||||
const record = { id: '4400', routeId: '501', timestamp: 0 };
|
||||
const copy = buildTransitSelectionCopy(ttc(), record, 'tram', 0, null, null);
|
||||
assert.match(copy.details.join(' | '), /Streetcar · TTC/);
|
||||
assert.doesNotMatch(copy.details.join(' | '), /Tram/);
|
||||
});
|
||||
|
||||
test('detection labels carry the operator vocabulary within the field width', () => {
|
||||
const klass = transitDetectionClass('tram', ttc());
|
||||
assert.equal(klass, 'STREETCAR TTC');
|
||||
assert.ok(klass.length <= 20, 'fits the detection class field');
|
||||
assert.equal(transitDetectionClass('tram', hsl()), 'TRAM HSL');
|
||||
const metric = transitDetectionMetric({ mode: 'tram' }, 'tram', 0, ttc());
|
||||
assert.match(metric, /^STREETCAR/);
|
||||
});
|
||||
|
||||
test('a Guelph vehicle is labelled with the number on the bus, not the database key', () => {
|
||||
const guelph = getTransitFeed('guelph-transit');
|
||||
const record = { id: '196', routeId: '2991', timestamp: 0 };
|
||||
const copy = buildTransitSelectionCopy(guelph, record, 'bus', 0, null, null);
|
||||
assert.match(copy.title, /Route 1\b/);
|
||||
assert.doesNotMatch(copy.title, /2991/);
|
||||
assert.equal(transitDetectionId(record, guelph), '1');
|
||||
});
|
||||
|
||||
test('a feed that already speaks rider route numbers is untouched', () => {
|
||||
const record = { id: '4400', routeId: '501', timestamp: 0 };
|
||||
assert.equal(transitDetectionId(record, ttc()), '501');
|
||||
const copy = buildTransitSelectionCopy(ttc(), record, 'tram', 0, null, null);
|
||||
assert.match(copy.title, /Route 501/);
|
||||
// No feed at all still renders the raw route rather than throwing.
|
||||
assert.equal(transitDetectionId(record), '501');
|
||||
});
|
||||
|
||||
test('a vehicle with no route still falls back to its fleet number', () => {
|
||||
const guelph = getTransitFeed('guelph-transit');
|
||||
assert.equal(transitDetectionId({ id: '196', label: '196' }, guelph), '196');
|
||||
});
|
||||
Reference in new issue
Block a user