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feat(cctv): add the Autostrada del Brennero (A22) motorway webcams
Closes bilawalsidhu/gods-eye-view#155. The first Italian cameras: the 13 webcams along the A22 from the Brenner Pass to Modena. The camera list is one keyless request to the Open Data Hub (NOI Techpark) tourism API, which republishes Autobrennero's own list with coordinates and kilometre markers. Frames are the operator's stills, refreshed about once a minute, and only each camera's own WebCamImg/km<N>.jpg is registered. The catalog fetch refuses redirects and is size-capped. The road climbs from ~20 m in the Po valley to ~1,370 m at the Brenner Pass, so ground elevation comes from a per-kilometre table sampled from the Copernicus GLO-90 DEM instead of one flat prior. Headings use the id-hash fallback at low confidence. CCTV_A22_ENABLED=0 disables the pack. Co-Authored-By: Claude Opus 5.5 <[email protected]>
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jibraaanandClaude Opus 5.5 committed
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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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a22WebcamToSource,
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loadA22SourcesFromOpenDataHub,
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} from '../../server/providers/cctv/sources.js';
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import {
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A22_DEFAULT_GROUND_ELEVATION_M,
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A22_IMAGE_ORIGIN,
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DEFAULT_A22_CCTV_URL,
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} from '../../server/providers/cctv/constants.js';
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import { createCctvCatalog } from '../../server/providers/cctv/catalog.js';
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/** One Open Data Hub `WebcamInfo` item, shaped like the live a22 payload. */
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const item = (
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patch = {},
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{ km = '68', lat = 46.53591, lon = 11.49772 } = {},
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) => ({
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Id: `A22_${km}`,
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Active: true,
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Source: 'a22',
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Shortname: 'ADS Sciliar',
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Webcamname: { it: 'ADS Sciliar' },
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Webcamurl: `https://www.autobrennero.it/WebCamImg/km${km}.jpg`,
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Mapping: { a22: { km } },
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GpsInfo: [{ Gpstype: 'position', Latitude: lat, Longitude: lon }],
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LicenseInfo: {
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ClosedData: false,
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LicenseHolder: 'https://www.autobrennero.it/',
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},
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...patch,
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});
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test('an A22 webcam maps to a source on the pinned operator frame', () => {
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const source = a22WebcamToSource(item());
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assert.equal(source.id, 'it-a22-km68');
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assert.equal(source.name, 'A22 ADS Sciliar (km 68)');
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assert.equal(source.city, 'A22 Brennero');
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assert.equal(source.cityId, 'a22');
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assert.equal(source.provider, 'Autostrada del Brennero');
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assert.equal(source.lat, 46.53591);
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assert.equal(source.lon, 11.49772);
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assert.equal(source.headingConfidence, 'low');
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assert.equal(source.feedType, 'image');
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assert.equal(source.sourceKind, 'a22-opendatahub');
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assert.equal(source.code, 'ADS SCILIAR');
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assert.equal(source.url, `${A22_IMAGE_ORIGIN}km68.jpg`);
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assert.equal(source.snapshotUrl, source.url);
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});
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test('ground elevation follows the motorway from the Brenner Pass to the Po', () => {
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const brenner = a22WebcamToSource(
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item({ Shortname: 'Brennero' }, { km: '1', lat: 46.99682, lon: 11.50218 }),
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);
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const ponte = a22WebcamToSource(
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item(
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{ Shortname: 'Ponte Po' },
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{ km: '272', lat: 45.03145, lon: 10.85369 },
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),
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);
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assert.ok(brenner.groundElevationM > 1300);
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assert.ok(ponte.groundElevationM < 50);
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// A kilometre the table does not know falls back to the corridor prior.
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const unknown = a22WebcamToSource(
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item({}, { km: '150', lat: 45.95, lon: 11.05 }),
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);
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assert.equal(unknown.groundElevationM, A22_DEFAULT_GROUND_ELEVATION_M);
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});
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test('inactive cameras, off-host frames and bad geometry are dropped', () => {
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assert.equal(a22WebcamToSource(item({ Active: false })), null);
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assert.equal(a22WebcamToSource(item({ Source: 'other' })), null);
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assert.equal(
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a22WebcamToSource(
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item({ Webcamurl: 'https://evil.test/WebCamImg/km68.jpg' }),
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),
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null,
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);
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// The frame must be exactly the camera's own kilometre image.
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assert.equal(
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a22WebcamToSource(
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item({ Webcamurl: 'https://www.autobrennero.it/WebCamImg/km1.jpg' }),
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),
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null,
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);
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assert.equal(
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a22WebcamToSource(item({ Mapping: { a22: { km: '../x' } } })),
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null,
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);
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// Milan: plausible, but off the Brenner–Modena corridor.
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assert.equal(
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a22WebcamToSource(item({}, { km: '68', lat: 45.46, lon: 9.19 })),
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null,
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);
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assert.equal(a22WebcamToSource(item({ GpsInfo: [] })), null);
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assert.equal(a22WebcamToSource(null), null);
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});
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test('the loader dedupes, orders north to south, and degrades to empty', async (t) => {
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t.mock.method(console, 'log', () => {});
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t.mock.method(console, 'warn', () => {});
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const requested = [];
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const fetchMock = t.mock.method(globalThis, 'fetch', async (url) => {
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requested.push(String(url));
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return Response.json({
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TotalResults: 3,
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Items: [
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item(
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{ Shortname: 'Ponte Po' },
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{ km: '272', lat: 45.03145, lon: 10.85369 },
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),
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item(),
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item(),
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item(
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{ Shortname: 'Brennero' },
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{ km: '1', lat: 46.99682, lon: 11.50218 },
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),
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],
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});
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});
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const cameras = await loadA22SourcesFromOpenDataHub();
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assert.deepEqual(requested, [DEFAULT_A22_CCTV_URL]);
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assert.deepEqual(
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cameras.map((c) => c.id),
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['it-a22-km1', 'it-a22-km68', 'it-a22-km272'],
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);
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fetchMock.mock.mockImplementation(
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async () => new Response('nope', { status: 503 }),
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);
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assert.deepEqual(await loadA22SourcesFromOpenDataHub(), []);
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fetchMock.mock.mockImplementation(
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async () =>
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new Response(null, {
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status: 302,
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headers: { Location: 'https://evil.test/' },
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}),
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);
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assert.deepEqual(await loadA22SourcesFromOpenDataHub(), []);
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fetchMock.mock.mockImplementation(async () => {
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throw new Error('offline');
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});
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assert.deepEqual(await loadA22SourcesFromOpenDataHub(), []);
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});
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const runCatalog = async (t) => {
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const requested = [];
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t.mock.method(console, 'log', () => {});
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t.mock.method(console, 'warn', () => {});
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t.mock.method(globalThis, 'fetch', async (url) => {
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const href = String(url);
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requested.push(href);
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if (href === DEFAULT_A22_CCTV_URL) {
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return Response.json({ Items: [item()] });
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}
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return Response.json([]);
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});
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const sources = await createCctvCatalog({ sourceRoot: '/nonexistent' })();
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return { requested, sources };
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};
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const withEnv = async (patch, fn) => {
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const saved = { ...process.env };
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try {
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delete process.env.CCTV_SOURCES_FILE;
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delete process.env.CCTV_SOURCES_JSON;
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delete process.env.CCTV_A22_ENABLED;
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Object.assign(process.env, patch);
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await fn();
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} finally {
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for (const key of Object.keys(process.env)) {
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if (!(key in saved)) delete process.env[key];
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}
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Object.assign(process.env, saved);
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}
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};
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test('the A22 lane is wired into the catalog', async (t) => {
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await withEnv({}, async () => {
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const { requested, sources } = await runCatalog(t);
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assert.ok(requested.includes(DEFAULT_A22_CCTV_URL));
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assert.deepEqual(
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sources.filter((s) => s.cityId === 'a22').map((s) => s.id),
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['it-a22-km68'],
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);
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});
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});
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test('CCTV_A22_ENABLED=0 keeps the lane from being loaded', async (t) => {
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await withEnv({ CCTV_A22_ENABLED: '0' }, async () => {
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const { requested, sources } = await runCatalog(t);
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assert.equal(requested.includes(DEFAULT_A22_CCTV_URL), false);
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assert.deepEqual(
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sources.filter((s) => s.cityId === 'a22'),
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[],
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);
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});
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});
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@@ -247,6 +247,13 @@ export const DATA_CREDITS = [
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'<a href="https://data.norge.no/nlod/en/2.0" target="_blank" rel="noopener">Norwegian licence for Open Government data (NLOD)</a> ' +
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'distributed by Statens vegvesen',
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},
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{
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key: 'a22-cctv',
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html:
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'Motorway webcams (A22 Brennero–Modena): images © ' +
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'<a href="https://www.autobrennero.it/" target="_blank" rel="noopener">Autostrada del Brennero S.p.A.</a>, ' +
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'camera list via the <a href="https://opendatahub.com/" target="_blank" rel="noopener">Open Data Hub</a> (NOI Techpark)',
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},
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{
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key: 'gbfs',
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html: 'Bikeshare availability: GBFS operator feeds (e.g. Austin BCycle)',
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