diff --git a/.env.example b/.env.example index ee7620be9..ec431b03a 100644 --- a/.env.example +++ b/.env.example @@ -196,6 +196,8 @@ AISSTREAM_API_KEY= # CCTV_VEGVESEN_MAX_SOURCES=900 # cap cameras loaded from Statens vegvesen (default loads all ~850 live; max 1000) # CCTV_VEGVESEN_VIDEO=1 # set 0 to show stills instead of live HLS for Statens vegvesen video cameras # CCTV_VEGVESEN_URL= # override the Statens vegvesen catalog URL +# CCTV_A22_ENABLED=1 # set 0 to disable the Autostrada del Brennero (A22, Italy) webcams +# CCTV_A22_URL= # override the Open Data Hub A22 webcam catalog URL # CCTV_MAX_SOURCES=4000 # catalog-wide ceiling, shared round-robin across packs # CCTV_PREFER_AUSTIN=1 # prioritize Austin cameras in the registry # CCTV_FORCE_AUSTIN= # force live default sources when a source-pack JSON is configured diff --git a/CHANGELOG.md b/CHANGELOG.md index b433f8c06..4f03ac311 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -2,6 +2,15 @@ ## [Unreleased] +- Add the Autostrada del Brennero (A22, Brenner–Modena) motorway webcams as a + CCTV pack, the first Italian cameras. The 13-camera list is one keyless + request to the Open Data Hub (NOI Techpark) tourism API, which republishes + Autobrennero's own list with coordinates; frames are the operator's stills, + refreshed about once a minute and pinned to each camera's own `km.jpg`. + Each camera's ground elevation comes from a per-kilometre DEM table, since + the road climbs from the Po valley to the Brenner Pass. `CCTV_A22_ENABLED=0` + disables the pack. Closes #155. + - Add Norway's road cameras from Statens vegvesen as a CCTV pack. The camera list is one keyless GeoJSON request to the agency's OGC API view of its DATEX 3.1 CCTV table, so no DATEX account is needed. Every working camera diff --git a/DATA_SOURCES.md b/DATA_SOURCES.md index 734e35a69..d90cb8030 100644 --- a/DATA_SOURCES.md +++ b/DATA_SOURCES.md @@ -55,6 +55,7 @@ How to read this: | **DriveBC** (Government of British Columbia) | CCTV camera catalog + frames, British Columbia highways | [Open Government Licence – British Columbia](https://www2.gov.bc.ca/gov/content/data/open-data/open-government-licence-bc) — attribution REQUIRED | "DriveBC. Contains information licensed under the Open Government Licence – British Columbia" | | **Open Calgary** (`data.calgary.ca`) | CCTV camera catalog + frames, Calgary | [Open Government Licence – City of Calgary](https://data.calgary.ca/stories/s/Open-Calgary-Terms-of-Use/u45n-7awa) — attribution REQUIRED | "Contains information licensed under the Open Government Licence – City of Calgary" | | **Statens vegvesen** (catalog `ogckart-sn1.atlas.vegvesen.no`, frames `kamera.atlas.vegvesen.no`, HLS `kamera.vegvesen.no`) | CCTV camera catalog + frames + live HLS video, Norway road cameras | [NLOD 2.0](https://data.norge.no/nlod/en/2.0) — attribution REQUIRED | "Contains data under the Norwegian licence for Open Government data (NLOD) distributed by Statens vegvesen" | +| **Autostrada del Brennero (A22)** (catalog `tourism.api.opendatahub.com`, frames `www.autobrennero.it/WebCamImg/`) | CCTV camera catalog + frames, A22 Brenner–Modena motorway, Italy | Public Autobrennero webcam images; camera list republished by the Open Data Hub as open data (`ClosedData: false`, licence holder Autobrennero, no licence named) | "Webcam images © Autostrada del Brennero S.p.A., via the Open Data Hub (NOI Techpark)" (courtesy) | | **GBFS (Lyft / BCycle)** | Bikeshare availability | Per-feed (attribution-only) | Credit the operator (e.g. Austin BCycle) + its `license_url` | | **MBTA / MassDOT** (cdn.mbta.com) | Transit layer live vehicles and up to 15 minutes of recently observed positions, Greater Boston | MBTA / MassDOT open realtime vehicle data, used for the live view and up to fifteen minutes of recently observed positions; published for developer use and not against their use. | Attribution to MBTA / MassDOT (courtesy text) | | **CapMetro** (data.texas.gov) | Transit layer live vehicles, Austin TX | CapMetro open realtime vehicle data, used for the live view; published for developer use and not against their use. | Attribution to CapMetro (courtesy text) | @@ -90,6 +91,7 @@ The optional Local ADS-B layer and the broadcast-FM receiver use radio you recei - **Live Traffic NSW cameras.** The camera list is the keyless public `data.livetraffic.com/cameras/traffic-cam.json` feed (Transport for NSW open data, CC BY 4.0); frames are stills on `webcams.transport.nsw.gov.au`, and only that host is registered. That image host answers non-browser clients with an HTML placeholder, so the proxy identifies as a browser for that one host and as itself everywhere else. Frames are fetched at request time and never stored or redistributed. Disable with `CCTV_NSW_ENABLED=0`. - **Open Calgary traffic cameras.** Keyless. The camera list is the public Socrata dataset `k7p9-kppz` on `data.calgary.ca`; frames are stills on the city's own `trafficcam.calgary.ca` host, and only that host is registered. Most rows publish an `http://` frame URL and the host redirects those to HTTPS, so URLs are upgraded and pinned to that origin before registration. Frames are fetched at request time and never stored or redistributed. The dataset publishes no camera facing: the `quadrant` field and the quadrant suffix on each camera name are Calgary's address grid, not a bearing, so headings use the shared id-hash fallback at low confidence and are corrected with the in-app calibration gizmo. The licence requires the attribution statement above. Disable with `CCTV_CALGARY_ENABLED=0`. - **Statens vegvesen road cameras.** Keyless. The camera list is one GeoJSON request to the OGC API Features view of the official DATEX 3.1 CCTV site table (`ogckart-sn1.atlas.vegvesen.no/ogc/features/v1/collections/datex_3_1:CctvSimple/items`), so no DATEX account is needed; frames are stills on `kamera.atlas.vegvesen.no/api/images/`, and only that exact path per camera is registered. Cameras the feed reports as faulty are dropped. About 135 working cameras also publish live HLS (`kamera.vegvesen.no/public//manifest.m3u8`, MPEG-TS); those play as live video through the bounded in-memory HLS relay, with the still as the snapshot fallback, and only that exact manifest path per camera is registered. `CCTV_VEGVESEN_VIDEO=0` keeps every camera on stills. `orientationDescription` names the place a camera faces, not a bearing, so it goes into the label and headings use the id-hash fallback at low confidence. By default every live camera loads (~850); `CCTV_VEGVESEN_MAX_SOURCES` (8–1000) lowers the cap, keeping the cameras nearest Oslo, Bergen, Stavanger, Trondheim, Kristiansand, Bodø and Tromsø and `CCTV_VEGVESEN_ENABLED=0` turns the pack off. Frames are fetched at request time and never stored or redistributed. The NLOD attribution is registered in the Data attribution popover. +- **Autostrada del Brennero (A22) webcams.** Keyless. The camera list is one request to the Open Data Hub tourism API (`tourism.api.opendatahub.com/v1/WebcamInfo?source=a22`), run by NOI Techpark in South Tyrol, which republishes Autobrennero's own list of 13 motorway webcams with coordinates and kilometre markers. Frames are the operator's stills on `www.autobrennero.it/WebCamImg/km.jpg`, refreshed about once a minute, and only the exact image for each camera's kilometre is registered. The feed names no bearing, so headings use the id-hash fallback at low confidence. The road climbs from about 20 m in the Po valley to about 1,370 m at the Brenner Pass, so each camera's ground elevation comes from a per-kilometre table sampled from the Copernicus GLO-90 DEM (via Open-Meteo's elevation API); a camera not in the table uses a 200 m prior. The Open Data Hub marks the list as open (`ClosedData: false`) with Autobrennero as licence holder but names no licence, so the images are credited to the operator as a courtesy and are not redistributed. Frames are fetched at request time and never stored. Disable with `CCTV_A22_ENABLED=0`. - **Camera frame content.** Public camera frames can contain people, vehicles and license plates, and the camera layer does nothing with them beyond putting them on the map. A successful upstream response is relayed as the provider served it: nothing in the camera pipeline blurs, redacts, enhances or restores it, and nothing there runs face, plate or object detection or otherwise recognises or classifies what is in the picture. (The ALPR layer described below maps where plate-reader cameras are, from locations contributors tagged in OpenStreetMap; it reads nothing from any camera frame.) When an upstream has no frame for a camera, what you see instead is a Google Street View still or the app's own placeholder card; the panel's source badge names which of them you are looking at, and a refresh that fails after a frame has arrived leaves the last good picture on screen rather than replacing it. The browser resamples each frame for display: onto a fixed 1920x1080 surface for the camera's projection plane in the scene, and onto a 192x108 canvas for the small ambient card. That scaling is the only change made to the picture, and the only pixels the camera layer reads back are a 64x36 downscale hashed to tell whether the picture has changed. Live streams are piped through; the still path reads the image into memory to pass it on — TxDOT wraps its JPEG in a JSON envelope, which is decoded there — and no frame is written to disk (the disk cache, `.gev-cache/`, holds feed JSON for other layers and never camera imagery). Outside that pipeline, the voice assistant is the one feature that sends imagery anywhere: when it answers a question about what is in view it may attach a downscaled screenshot of the rendered scene — including any camera plane on screen — to the request it sends to the voice model. Frames are fetched only from server-registered camera URLs — a client cannot hand the proxy a URL (see [SECURITY.md](SECURITY.md)). What the app does stays inside the line README draws: no named-person search, no face recognition, no tracking individuals. - **Transit (GTFS-Realtime).** The proxy requests only registered operator feeds, validates redirects, bounds responses, and uses conditional requests, short snapshot caching and failure backoff. All seven registered regions are live-enabled; each can be disabled independently. Vehicles use delayed playback between reports, with report age and waiting states shown separately. Session-local selected trails are available for every feed. MBTA additionally retains up to 15 minutes of recently observed positions in the running proxy, so available history can survive a browser reload; server restart clears it. History reads never fetch upstream, and other feeds have no proxy retention. Nothing is archived to disk or collected in the background. Operator text credits are included as a courtesy and do not imply endorsement. Heights are aligned to work with Google 3D tiles; subway markers are shown at street level because these feeds do not supply depth. - **Radio Browser.** `/api/radio/stations` discovers official API mirrors, makes bounded and coalesced healthy/geolocated HTTPS-station queries, caches the normalized public-domain directory for 45 minutes, and may serve the last good catalog for up to seven days during an outage. Refreshes must meet minimum accepted-query and station coverage before replacing a warm catalog; schema-valid responses whose rows all fail the product's health policy do not count as successful queries. A usable partial cold catalog is explicitly `DEGRADED`, and malformed or empty successful payloads are rejected atomically. Every directory and click-count request rejects redirects, validates all resolved addresses as globally routable (including reserved/documentation IPv4 and special/non-global IPv6 exclusions), and pins the TLS connection to a validated address. Only MP3/AAC non-HLS directory rows with public HTTPS stream targets are returned; favicons are intentionally omitted. Pressing play connects one browser audio element directly to the selected broadcaster and calls the directory's click counter through known-ID-only `POST /api/radio/click/:uuid`. GEV never proxies, caches, records, bundles, or redistributes audio. Radio Browser supplies station-level tags, not dependable current-song or upcoming-program metadata, so Radio filtering never claims either. Direct playback exposes the listener's IP address to the broadcaster, whose own stream terms apply. diff --git a/README.md b/README.md index 724ea18cb..c84a67af8 100644 --- a/README.md +++ b/README.md @@ -294,7 +294,7 @@ Nineteen layers and map sources. **Seventeen have a keyless path.** Some offer a | 🛰️ **Satellites** | 838-object catalog, color-coded by class with a live legend — the **DENSE** chip drops in the whole Starlink shell | CelesTrak | 🟢 | | 🌍 **Earthquakes** | Global seismic activity, last 24h | USGS | 🟢 | | 🚗 **Traffic** | Simulated vehicles on OSM roads. With TomTom, live flow speeds drive the simulation and congestion colors below ~8 km; individual vehicle positions are not live observations | TomTom + OSM | 🟢 simulation · 🟡 live flow speeds | -| 📹 **CCTV Mesh** | ~3,900 public cameras projected _into_ the 3D space — Austin · Texas (TxDOT) · California (Caltrans) · London (TfL) · Ontario (511) · Finland (Fintraffic) · British Columbia (DriveBC) · Estonia (Tallinn, Tarktee) · Delaware (DelDOT live video) · New South Wales (Live Traffic NSW) · Calgary · Norway (Statens vegvesen). Positions are published; poses are estimated priors **you calibrate by dragging a gizmo on the camera itself** | City APIs | 🟢 | +| 📹 **CCTV Mesh** | ~3,900 public cameras projected _into_ the 3D space — Austin · Texas (TxDOT) · California (Caltrans) · London (TfL) · Ontario (511) · Finland (Fintraffic) · British Columbia (DriveBC) · Estonia (Tallinn, Tarktee) · Delaware (DelDOT live video) · New South Wales (Live Traffic NSW) · Calgary · Norway (Statens vegvesen) · Italy (A22 Brennero motorway). Positions are published; poses are estimated priors **you calibrate by dragging a gizmo on the camera itself** | City APIs | 🟢 | | 📷 **Mapped ALPR Cameras** | License-plate-reader camera locations tagged by OpenStreetMap contributors, loaded one city-sized view at a time, with **SHOW NEAREST**. Locations and tags only: no plate data, no video | OpenStreetMap (incl. DeFlock mapping) | 🟢 | | 📻 **Radio** | Geolocated world radio with an **analog tuner** — drag the needle across up to 750 stations and the globe flies to each broadcaster | Radio Browser / broadcasters | 🟢 | | 🚌 **Transit** | Live buses, trams, metros, trains and ferries with delayed playback between reports, selected-vehicle trails, and mode-coloured DETECT labels — Boston, Austin, Minneapolis, Helsinki, the Netherlands, Norway, South East Queensland | Operator GTFS-Realtime feeds | 🟢 | diff --git a/docs/CURRENT-STATE.md b/docs/CURRENT-STATE.md index d4fe022a8..11a97f55f 100644 --- a/docs/CURRENT-STATE.md +++ b/docs/CURRENT-STATE.md @@ -2919,7 +2919,7 @@ its criteria cannot be silently ignored. | Satellites | CelesTrak | `src/data/satellites.js` | `/api/celestrak` | 120s | | Space Missions (30d) | Launch Library 2 + CelesTrak | `src/data/rocketLaunches.js` | `/api/launches` + `/api/celestrak/active` | 5 min | | Traffic | Selectable TomTom / OpenStreetMap / Hybrid roads; optional TomTom flow (BYOK) | `src/data/traffic.js` | browser-direct OpenFreeMap tiles; `/api/tomtom` for flow | viewport-driven; capped tile cache | -| CCTV | Austin + Caltrans (CA) + TfL London + Ontario 511 + Fintraffic (FI) + DriveBC (BC) + TxDOT (TX) + Estonia (Tallinn, Tarktee) + Live Traffic NSW + Open Calgary Open Data + Statens vegvesen (NO, stills + live HLS) + Street View fallback | `src/data/cctv.js` | `/api/cctv` | 10s (active) | +| CCTV | Austin + Caltrans (CA) + TfL London + Ontario 511 + Fintraffic (FI) + DriveBC (BC) + TxDOT (TX) + Estonia (Tallinn, Tarktee) + Live Traffic NSW + Open Calgary Open Data + Statens vegvesen (NO, stills + live HLS) + Autostrada del Brennero (IT, A22 stills) + Street View fallback | `src/data/cctv.js` | `/api/cctv` | 10s (active) | | Radio | Radio Browser (public-domain station directory) | `src/data/radio.js` | `/api/radio/stations`, `/api/radio/click/:uuid` | 45 min directory refresh | | Transit 🚌 | Operator GTFS-Realtime VehiclePositions (7 keyless regions, `src/data/transitFeeds.js`) | `src/layers/transit/` via `src/app/layers/transit.js` | `/api/transit` | 15s (poll + delayed playback) | | Bikeshare 🚲 | GBFS (Lyft + BCycle) | `src/data/bikeshare.js` | `/api/gbfs` | 60s | diff --git a/scripts/format-scope.json b/scripts/format-scope.json index 662b2a43a..c1733a555 100644 --- a/scripts/format-scope.json +++ b/scripts/format-scope.json @@ -523,6 +523,7 @@ "src/data/cctvWarendorf.test.mjs", "src/data/cctvCalgary.test.mjs", "src/data/cctvVegvesen.test.mjs", + "src/data/cctvA22.test.mjs", "src/data/cctvNswSource.test.mjs", "src/data/cctvTxdotSource.test.mjs", "src/layers/cctv/source.test.mjs", diff --git a/server/providers/cctv/catalog.js b/server/providers/cctv/catalog.js index 9bc3b70ec..c438f4075 100644 --- a/server/providers/cctv/catalog.js +++ b/server/providers/cctv/catalog.js @@ -19,6 +19,7 @@ import { loadCalgarySourcesFromOpenData, loadDelDOTSourcesFromOpenData, loadVegvesenSourcesFromOpenData, + loadA22SourcesFromOpenDataHub, } from './sources.js'; /** Env kill switch: unset or anything but "0" means enabled. */ @@ -98,6 +99,11 @@ const LIVE_PACKS = [ enabled: () => envEnabled('CCTV_VEGVESEN_ENABLED'), load: loadVegvesenSourcesFromOpenData, }, + { + name: 'a22', + enabled: () => envEnabled('CCTV_A22_ENABLED'), + load: loadA22SourcesFromOpenDataHub, + }, ]; /** * Load CCTV sources from a local JSON file (CCTV_SOURCES_FILE env or default). diff --git a/server/providers/cctv/constants.js b/server/providers/cctv/constants.js index 6298e86a0..531a00051 100644 --- a/server/providers/cctv/constants.js +++ b/server/providers/cctv/constants.js @@ -267,6 +267,39 @@ export const NORWAY_ANCHORS = [ { lat: 69.6492, lon: 18.9553 }, // Tromsø ]; +/** Autostrada del Brennero (A22, Brenner–Modena) webcams: the keyless Open + * Data Hub (NOI Techpark, South Tyrol) tourism API republishes Autobrennero's + * own camera list with coordinates, one request for the whole motorway + * (13 cameras). Frames are stills on the operator's host, refreshed about + * once a minute. */ +export const DEFAULT_A22_CCTV_URL = + 'https://tourism.api.opendatahub.com/v1/WebcamInfo?source=a22&pagesize=200&removenullvalues=true'; +/** The only origin A22 camera frames may come from: `km.jpg` per camera. */ +export const A22_IMAGE_ORIGIN = 'https://www.autobrennero.it/WebCamImg/'; +/** Hard ceiling on the catalog body. The whole motorway is ~45 KB. */ +export const A22_MAX_CATALOG_BYTES = 2 * 1024 * 1024; +/** Orthometric ground elevation (m) at each camera, keyed by its motorway + * kilometre, from the Copernicus GLO-90 DEM via Open-Meteo's elevation API. + * The feed's coordinates are 2D and the road climbs from the Po valley (~20 m) + * to the Brenner Pass (~1,370 m), so one flat prior would bury the Alpine + * cameras. A camera not listed here uses A22_DEFAULT_GROUND_ELEVATION_M. */ +export const A22_GROUND_ELEVATION_BY_KM = Object.freeze({ + 1: 1365, + 68: 375, + 77: 301, + 100: 219, + 129: 206, + 138: 204, + 159: 175, + 205: 188, + 228: 72, + 240: 38, + 272: 16, + 285: 19, + 313: 40, +}); +export const A22_DEFAULT_GROUND_ELEVATION_M = 200; + /** DelDOT CCTV: one keyless statewide JSON catalog; live video via RTMP-over-HTTP (rtmpt:80). */ export const DELDOT_CCTV_URL = 'https://tmc.deldot.gov/json/videocamera.json'; export const DEFAULT_DELDOT_MAX_SOURCES = 300; diff --git a/server/providers/cctv/normalize.js b/server/providers/cctv/normalize.js index e62ba33f3..9339c2166 100644 --- a/server/providers/cctv/normalize.js +++ b/server/providers/cctv/normalize.js @@ -378,6 +378,17 @@ export function isLikelyNorwayCoordinate(lat, lon) { ); } +/** The A22 corridor, Brenner Pass to Modena, with slack either side. */ +export function isLikelyA22Coordinate(lat, lon) { + return ( + isPlausibleLatLon(lat, lon) && + lat >= 44.5 && + lat <= 47.1 && + lon >= 10.5 && + lon <= 11.8 + ); +} + export function isLikelyFinlandCoordinate(lat, lon) { if (!Number.isFinite(lat) || !Number.isFinite(lon)) return false; return lat >= 59.5 && lat <= 70.5 && lon >= 19 && lon <= 32; diff --git a/server/providers/cctv/sources.js b/server/providers/cctv/sources.js index 7ecd3434d..89d051420 100644 --- a/server/providers/cctv/sources.js +++ b/server/providers/cctv/sources.js @@ -65,6 +65,11 @@ import { DEFAULT_VEGVESEN_MAX_SOURCES, VEGVESEN_MAX_CATALOG_BYTES, NORWAY_ANCHORS, + DEFAULT_A22_CCTV_URL, + A22_IMAGE_ORIGIN, + A22_MAX_CATALOG_BYTES, + A22_GROUND_ELEVATION_BY_KM, + A22_DEFAULT_GROUND_ELEVATION_M, } from './constants.js'; import { toFiniteNumber, @@ -83,6 +88,7 @@ import { isLikelyNswCoordinate, isLikelyCalgaryCoordinate, isLikelyNorwayCoordinate, + isLikelyA22Coordinate, cameraDisplayCode, rowArrayToObject, prioritizeSources, @@ -1863,3 +1869,123 @@ export async function loadVegvesenSourcesFromOpenData() { return []; } } + +/** + * One Open Data Hub `WebcamInfo` item (source `a22`) -> one catalog source, + * or null. + * + * The frame must be the operator's own `WebCamImg/km.jpg` for the + * camera's motorway kilometre. The feed names the place and the kilometre but + * no bearing, so the heading uses the shared id-hash fallback at low + * confidence, like Calgary and Vegvesen; the ground elevation comes from the + * per-kilometre DEM table because the road spans ~1,350 m of altitude. + * + * @param {object} item - One element of the API's `Items` array. + * @returns {?object} + */ +export function a22WebcamToSource(item) { + if (!item || typeof item !== 'object') return null; + if (item.Active === false) return null; + if (String(item.Source ?? '').toLowerCase() !== 'a22') return null; + + const gps = Array.isArray(item.GpsInfo) ? item.GpsInfo[0] : null; + const lat = toFiniteNumber(gps?.Latitude); + const lon = toFiniteNumber(gps?.Longitude); + if (!isLikelyA22Coordinate(lat, lon)) return null; + + const km = String(item.Mapping?.a22?.km ?? '').trim(); + if (!/^\d{1,3}$/.test(km)) return null; + const imageUrl = `${A22_IMAGE_ORIGIN}km${Number(km)}.jpg`; + let image; + try { + image = new URL(String(item.Webcamurl ?? '')); + } catch { + return null; + } + if (image.username || image.password || image.href !== imageUrl) return null; + + const place = + String(item.Shortname ?? item.Webcamname?.it ?? '') + .replace(/\s+/g, ' ') + .trim() || `Km ${Number(km)}`; + const cameraId = `it-a22-km${Number(km)}`; + const ground = A22_GROUND_ELEVATION_BY_KM[Number(km)]; + + return { + id: cameraId, + name: `A22 ${place} (km ${Number(km)})`, + // One motorway-wide category in the camera picker; the place is already + // in the name. + city: 'A22 Brennero', + cityId: 'a22', + provider: 'Autostrada del Brennero', + lat, + lon, + headingDeg: fallbackHeadingFromId(cameraId), + headingConfidence: 'low', + pitchDeg: -15, + fovDeg: 50, + rangeM: 160, + mountHeightM: 8, + groundElevationM: Number.isFinite(ground) + ? ground + : A22_DEFAULT_GROUND_ELEVATION_M, + feedType: 'image', + url: imageUrl, + snapshotUrl: imageUrl, + sourceKind: 'a22-opendatahub', + license: + 'Webcam images © Autostrada del Brennero S.p.A., via the Open Data Hub (NOI Techpark)', + code: cameraDisplayCode(place.toUpperCase()), + }; +} + +/** + * Fetch the Autostrada del Brennero (A22) webcams from the keyless Open Data + * Hub tourism API. Frames are stills on www.autobrennero.it. + * + * @returns {Promise>} Normalized camera source objects. + */ +export async function loadA22SourcesFromOpenDataHub() { + try { + const endpoint = process.env.CCTV_A22_URL || DEFAULT_A22_CCTV_URL; + const resp = await fetch(endpoint, { + headers: { Accept: 'application/json' }, + redirect: 'manual', + signal: AbortSignal.timeout(CCTV_SOURCE_FETCH_TIMEOUT_MS), + }); + const discard = async () => { + try { + await resp.body?.cancel(); + } catch { + /* no-op */ + } + return []; + }; + if (resp.status >= 300 && resp.status < 400) { + console.warn('[CCTV] A22 catalog redirected; redirects are not followed'); + return discard(); + } + if (!resp.ok) { + console.warn('[CCTV] A22 camera download failed:', resp.status); + return discard(); + } + const payload = await readResponseJsonCapped(resp, A22_MAX_CATALOG_BYTES); + const items = Array.isArray(payload?.Items) ? payload.Items : []; + const cameras = []; + const seen = new Set(); + for (const item of items) { + const camera = a22WebcamToSource(item); + if (!camera || seen.has(camera.id)) continue; + seen.add(camera.id); + cameras.push(camera); + } + // North to south along the motorway, so the picker reads in road order. + cameras.sort((a, b) => b.lat - a.lat); + console.log(`[CCTV] Loaded A22 camera sources: ${cameras.length}`); + return cameras; + } catch (error) { + console.warn('[CCTV] A22 camera download error:', error?.message || error); + return []; + } +} diff --git a/src/data/cctvA22.test.mjs b/src/data/cctvA22.test.mjs new file mode 100644 index 000000000..fc483bf9d --- /dev/null +++ b/src/data/cctvA22.test.mjs @@ -0,0 +1,199 @@ +import { test } from 'node:test'; +import assert from 'node:assert/strict'; + +import { + a22WebcamToSource, + loadA22SourcesFromOpenDataHub, +} from '../../server/providers/cctv/sources.js'; +import { + A22_DEFAULT_GROUND_ELEVATION_M, + A22_IMAGE_ORIGIN, + DEFAULT_A22_CCTV_URL, +} from '../../server/providers/cctv/constants.js'; +import { createCctvCatalog } from '../../server/providers/cctv/catalog.js'; + +/** One Open Data Hub `WebcamInfo` item, shaped like the live a22 payload. */ +const item = ( + patch = {}, + { km = '68', lat = 46.53591, lon = 11.49772 } = {}, +) => ({ + Id: `A22_${km}`, + Active: true, + Source: 'a22', + Shortname: 'ADS Sciliar', + Webcamname: { it: 'ADS Sciliar' }, + Webcamurl: `https://www.autobrennero.it/WebCamImg/km${km}.jpg`, + Mapping: { a22: { km } }, + GpsInfo: [{ Gpstype: 'position', Latitude: lat, Longitude: lon }], + LicenseInfo: { + ClosedData: false, + LicenseHolder: 'https://www.autobrennero.it/', + }, + ...patch, +}); + +test('an A22 webcam maps to a source on the pinned operator frame', () => { + const source = a22WebcamToSource(item()); + assert.equal(source.id, 'it-a22-km68'); + assert.equal(source.name, 'A22 ADS Sciliar (km 68)'); + assert.equal(source.city, 'A22 Brennero'); + assert.equal(source.cityId, 'a22'); + assert.equal(source.provider, 'Autostrada del Brennero'); + assert.equal(source.lat, 46.53591); + assert.equal(source.lon, 11.49772); + assert.equal(source.headingConfidence, 'low'); + assert.equal(source.feedType, 'image'); + assert.equal(source.sourceKind, 'a22-opendatahub'); + assert.equal(source.code, 'ADS SCILIAR'); + assert.equal(source.url, `${A22_IMAGE_ORIGIN}km68.jpg`); + assert.equal(source.snapshotUrl, source.url); +}); + +test('ground elevation follows the motorway from the Brenner Pass to the Po', () => { + const brenner = a22WebcamToSource( + item({ Shortname: 'Brennero' }, { km: '1', lat: 46.99682, lon: 11.50218 }), + ); + const ponte = a22WebcamToSource( + item( + { Shortname: 'Ponte Po' }, + { km: '272', lat: 45.03145, lon: 10.85369 }, + ), + ); + assert.ok(brenner.groundElevationM > 1300); + assert.ok(ponte.groundElevationM < 50); + // A kilometre the table does not know falls back to the corridor prior. + const unknown = a22WebcamToSource( + item({}, { km: '150', lat: 45.95, lon: 11.05 }), + ); + assert.equal(unknown.groundElevationM, A22_DEFAULT_GROUND_ELEVATION_M); +}); + +test('inactive cameras, off-host frames and bad geometry are dropped', () => { + assert.equal(a22WebcamToSource(item({ Active: false })), null); + assert.equal(a22WebcamToSource(item({ Source: 'other' })), null); + assert.equal( + a22WebcamToSource( + item({ Webcamurl: 'https://evil.test/WebCamImg/km68.jpg' }), + ), + null, + ); + // The frame must be exactly the camera's own kilometre image. + assert.equal( + a22WebcamToSource( + item({ Webcamurl: 'https://www.autobrennero.it/WebCamImg/km1.jpg' }), + ), + null, + ); + assert.equal( + a22WebcamToSource(item({ Mapping: { a22: { km: '../x' } } })), + null, + ); + // Milan: plausible, but off the Brenner–Modena corridor. + assert.equal( + a22WebcamToSource(item({}, { km: '68', lat: 45.46, lon: 9.19 })), + null, + ); + assert.equal(a22WebcamToSource(item({ GpsInfo: [] })), null); + assert.equal(a22WebcamToSource(null), null); +}); + +test('the loader dedupes, orders north to south, and degrades to empty', 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({ + TotalResults: 3, + Items: [ + item( + { Shortname: 'Ponte Po' }, + { km: '272', lat: 45.03145, lon: 10.85369 }, + ), + item(), + item(), + item( + { Shortname: 'Brennero' }, + { km: '1', lat: 46.99682, lon: 11.50218 }, + ), + ], + }); + }); + const cameras = await loadA22SourcesFromOpenDataHub(); + assert.deepEqual(requested, [DEFAULT_A22_CCTV_URL]); + assert.deepEqual( + cameras.map((c) => c.id), + ['it-a22-km1', 'it-a22-km68', 'it-a22-km272'], + ); + + fetchMock.mock.mockImplementation( + async () => new Response('nope', { status: 503 }), + ); + assert.deepEqual(await loadA22SourcesFromOpenDataHub(), []); + fetchMock.mock.mockImplementation( + async () => + new Response(null, { + status: 302, + headers: { Location: 'https://evil.test/' }, + }), + ); + assert.deepEqual(await loadA22SourcesFromOpenDataHub(), []); + fetchMock.mock.mockImplementation(async () => { + throw new Error('offline'); + }); + assert.deepEqual(await loadA22SourcesFromOpenDataHub(), []); +}); + +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_A22_CCTV_URL) { + return Response.json({ Items: [item()] }); + } + 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_A22_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 A22 lane is wired into the catalog', async (t) => { + await withEnv({}, async () => { + const { requested, sources } = await runCatalog(t); + assert.ok(requested.includes(DEFAULT_A22_CCTV_URL)); + assert.deepEqual( + sources.filter((s) => s.cityId === 'a22').map((s) => s.id), + ['it-a22-km68'], + ); + }); +}); + +test('CCTV_A22_ENABLED=0 keeps the lane from being loaded', async (t) => { + await withEnv({ CCTV_A22_ENABLED: '0' }, async () => { + const { requested, sources } = await runCatalog(t); + assert.equal(requested.includes(DEFAULT_A22_CCTV_URL), false); + assert.deepEqual( + sources.filter((s) => s.cityId === 'a22'), + [], + ); + }); +}); diff --git a/src/data/dataCredits.js b/src/data/dataCredits.js index 2967f0a2b..d3cdf74e2 100644 --- a/src/data/dataCredits.js +++ b/src/data/dataCredits.js @@ -247,6 +247,13 @@ export const DATA_CREDITS = [ 'Norwegian licence for Open Government data (NLOD) ' + 'distributed by Statens vegvesen', }, + { + key: 'a22-cctv', + html: + 'Motorway webcams (A22 Brennero–Modena): images © ' + + 'Autostrada del Brennero S.p.A., ' + + 'camera list via the Open Data Hub (NOI Techpark)', + }, { key: 'gbfs', html: 'Bikeshare availability: GBFS operator feeds (e.g. Austin BCycle)',