fix: merge TLE parser regression onto current main

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Huanyi Xie committed 2026-10-06 10:38:13 +03:00
commit f4a28cce03
15 files changed
+458 -6

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@@ -0,0 +1,202 @@
import { test } from 'node:test';
import assert from 'node:assert/strict';
import {
loadVegvesenSourcesFromOpenData,
vegvesenCameraToSource,
} from '../../server/providers/cctv/sources.js';
import {
DEFAULT_VEGVESEN_CCTV_URL,
VEGVESEN_IMAGE_ORIGIN,
} from '../../server/providers/cctv/constants.js';
import { createCctvCatalog } from '../../server/providers/cctv/catalog.js';
/** One `datex_3_1:CctvSimple` feature, shaped like the live OGC payload. */
const feature = (props = {}, coordinates = [5.459189, 61.832706]) => ({
type: 'Feature',
geometry: { type: 'Point', coordinates },
properties: {
stillImageUrl: 'https://kamera.atlas.vegvesen.no/api/images/3000063_1',
cameraId: '3000063_1',
roadNumber: 'F614',
'status.stillImageAvailability': 'videoOrImagesAvailable',
orientationDescription: 'Svelgen',
description: 'Langesi',
...props,
},
});
test('a Vegvesen feature maps to a source on the pinned frame host', () => {
const source = vegvesenCameraToSource(feature());
assert.equal(source.id, 'no-vegvesen-3000063_1');
assert.equal(source.name, 'F614 Langesi → Svelgen');
assert.equal(source.city, 'Norway');
assert.equal(source.cityId, 'norway');
assert.equal(source.provider, 'Statens vegvesen');
assert.equal(source.lat, 61.832706);
assert.equal(source.lon, 5.459189);
assert.equal(source.headingConfidence, 'low');
assert.equal(source.sourceKind, 'vegvesen-datex');
assert.equal(source.code, 'LANGESI');
assert.ok(source.url.startsWith(VEGVESEN_IMAGE_ORIGIN));
assert.equal(source.snapshotUrl, source.url);
});
test('cameras that publish HLS get live video with the still as fallback', (t) => {
const video = {
videoServiceLevel: 1,
videoEncodingStandard: 'hls',
videoUrl: 'https://kamera.vegvesen.no/public/3000063_1/manifest.m3u8',
};
const source = vegvesenCameraToSource(feature(video));
assert.equal(source.feedType, 'hls');
assert.equal(source.url, video.videoUrl);
assert.equal(
source.snapshotUrl,
'https://kamera.atlas.vegvesen.no/api/images/3000063_1',
);
// A manifest anywhere but the camera's own path stays a still.
const offPath = vegvesenCameraToSource(
feature({ ...video, videoUrl: 'https://evil.test/x/manifest.m3u8' }),
);
assert.equal(offPath.feedType, 'image');
assert.equal(offPath.url, offPath.snapshotUrl);
// The kill switch keeps every camera on stills.
const saved = process.env.CCTV_VEGVESEN_VIDEO;
t.after(() => {
if (saved === undefined) delete process.env.CCTV_VEGVESEN_VIDEO;
else process.env.CCTV_VEGVESEN_VIDEO = saved;
});
process.env.CCTV_VEGVESEN_VIDEO = '0';
assert.equal(vegvesenCameraToSource(feature(video)).feedType, 'image');
});
test('faulty cameras, off-host frames and bad geometry are dropped', () => {
assert.equal(
vegvesenCameraToSource(
feature({
'status.stillImageAvailability':
'videoOrImagesUnavailableDueToCameraFault',
}),
),
null,
);
assert.equal(
vegvesenCameraToSource(
feature({ stillImageUrl: 'https://evil.test/api/images/3000063_1' }),
),
null,
);
// The frame URL must be exactly the camera's own image path.
assert.equal(
vegvesenCameraToSource(
feature({
stillImageUrl: 'https://kamera.atlas.vegvesen.no/api/images/999_1',
}),
),
null,
);
assert.equal(vegvesenCameraToSource(feature({ cameraId: '../x' })), null);
// Copenhagen: a plausible coordinate, but outside the Norway box.
assert.equal(vegvesenCameraToSource(feature({}, [12.57, 55.68])), null);
assert.equal(vegvesenCameraToSource(feature({}, [5.4])), null);
assert.equal(vegvesenCameraToSource(null), null);
});
test('the loader dedupes, and failures degrade to an empty pack', async (t) => {
t.mock.method(console, 'log', () => {});
t.mock.method(console, 'warn', () => {});
const requested = [];
const fetchMock = t.mock.method(globalThis, 'fetch', async (url) => {
requested.push(String(url));
return Response.json({
type: 'FeatureCollection',
features: [
feature(),
feature(),
feature(
{
cameraId: '0629001_1',
stillImageUrl:
'https://kamera.atlas.vegvesen.no/api/images/0629001_1',
description: 'Oslo S',
},
[10.752, 59.911],
),
],
});
});
const cameras = await loadVegvesenSourcesFromOpenData();
assert.deepEqual(requested, [DEFAULT_VEGVESEN_CCTV_URL]);
// Nearest-to-anchor first: Oslo leads.
assert.deepEqual(
cameras.map((c) => c.id),
['no-vegvesen-0629001_1', 'no-vegvesen-3000063_1'],
);
fetchMock.mock.mockImplementation(
async () => new Response('nope', { status: 503 }),
);
assert.deepEqual(await loadVegvesenSourcesFromOpenData(), []);
fetchMock.mock.mockImplementation(async () => {
throw new Error('offline');
});
assert.deepEqual(await loadVegvesenSourcesFromOpenData(), []);
});
const runCatalog = async (t) => {
const requested = [];
t.mock.method(console, 'log', () => {});
t.mock.method(console, 'warn', () => {});
t.mock.method(globalThis, 'fetch', async (url) => {
const href = String(url);
requested.push(href);
if (href === DEFAULT_VEGVESEN_CCTV_URL) {
return Response.json({
type: 'FeatureCollection',
features: [feature()],
});
}
return Response.json([]);
});
const sources = await createCctvCatalog({ sourceRoot: '/nonexistent' })();
return { requested, sources };
};
const withEnv = async (patch, fn) => {
const saved = { ...process.env };
try {
delete process.env.CCTV_SOURCES_FILE;
delete process.env.CCTV_SOURCES_JSON;
delete process.env.CCTV_VEGVESEN_ENABLED;
Object.assign(process.env, patch);
await fn();
} finally {
for (const key of Object.keys(process.env)) {
if (!(key in saved)) delete process.env[key];
}
Object.assign(process.env, saved);
}
};
test('the Vegvesen lane is wired into the catalog', async (t) => {
await withEnv({}, async () => {
const { requested, sources } = await runCatalog(t);
assert.ok(requested.includes(DEFAULT_VEGVESEN_CCTV_URL));
assert.deepEqual(
sources.filter((s) => s.cityId === 'norway').map((s) => s.id),
['no-vegvesen-3000063_1'],
);
});
});
test('CCTV_VEGVESEN_ENABLED=0 keeps the lane from being loaded', async (t) => {
await withEnv({ CCTV_VEGVESEN_ENABLED: '0' }, async () => {
const { requested, sources } = await runCatalog(t);
assert.equal(requested.includes(DEFAULT_VEGVESEN_CCTV_URL), false);
assert.deepEqual(
sources.filter((s) => s.cityId === 'norway'),
[],
);
});
});
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@@ -240,6 +240,13 @@ export const DATA_CREDITS = [
'Traffic cameras (Calgary): contains information licensed under the ' +
'<a href="https://data.calgary.ca/stories/s/Open-Calgary-Terms-of-Use/u45n-7awa" target="_blank" rel="noopener">Open Government Licence – City of Calgary</a>',
},
{
key: 'vegvesen-cctv',
html:
'Road cameras (Norway): contains data under the ' +
'<a href="https://data.norge.no/nlod/en/2.0" target="_blank" rel="noopener">Norwegian licence for Open Government data (NLOD)</a> ' +
'distributed by Statens vegvesen',
},
{
key: 'gbfs',
html: 'Bikeshare availability: GBFS operator feeds (e.g. Austin BCycle)',
+1 -1
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@@ -80,7 +80,7 @@ export const KEY_SETUP_KEYS = Object.freeze([
id: 'tomtom',
title: 'TOMTOM',
unlocks: 'Real live traffic (keyless runs a simulation)',
getUrl: 'https://developer.tomtom.com',
getUrl: 'https://my.tomtom.com/keys',
envVars: Object.freeze(['TOMTOM_API_KEY']),
tier: 'free',
}),
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@@ -841,6 +841,7 @@ export async function searchAndFlyTo(viewer, query, options = {}) {
query,
result && !outcome.fallbackUsed ? { lat, lon: lng } : null,
signal,
placeSearch,
);
signal?.throwIfAborted();
if (recovered) {
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@@ -599,6 +599,21 @@ test('search without an authority hook preserves the existing caller contract',
assert.equal(viewer.flights.length, 1);
});
test('near-view recovery searches through the application place search', async () => {
// Recovery must use the place search the application configured, not the module default.
const viewer = stubViewer();
const placeSearch = createStandalonePlaceSearch({ resolveApiKey: () => 'test-key' });
let received = null;
await runSearch(viewer, {
placeSearch,
recoverNearView: async (...args) => {
received = args[4];
return null;
},
});
assert.equal(received, placeSearch);
});
test('a precise search without an outline frames against the resolved ground, not sea level', async () => {
// Camp Mabry field report: with no detailed outline (no configured Overpass)
// framing used the 250 m landmark range from a sea-level target, and the eye