Merge branch 'main' into perf/fleet-tick-skip-hidden

This commit is contained in:
Said Turksever authored and GitHub committed 2026-11-06 14:52:56 +00:00
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@@ -217,7 +217,7 @@ The [Bhote Koshi event pack](public/events/bhote-koshi-2026/README.md), under `p
| Dataset | Folder | License | Commercial use? | Attribution |
| --------------------------------------------------------------------------- | --------------------------------- | --------------------------------------------------------------------------------------------------------- | ------------------------------------------------ | --------------------------------------------------------------------------- |
| **Datacenters** (4,351) | `datacenters/` | **ODbL 1.0** (OpenStreetMap extract) | ✅ (attribution + share-alike on data) | © OpenStreetMap contributors (shared credit) |
| **Datacenters** (4,352) | `datacenters/` | **ODbL 1.0** (OpenStreetMap extract) | ✅ (attribution + share-alike on data) | © OpenStreetMap contributors (shared credit) |
| **Dams** (704) | `dams/` | **ODbL 1.0** (OpenInfraMap / OSM extract) | ✅ (attribution + share-alike on data) | © OpenStreetMap contributors (shared credit) + Open Infrastructure Map |
| **Military area names** (36,466) | `osm_military_names/` | **ODbL 1.0** (OpenStreetMap, via Overture Maps) | ✅ (attribution + share-alike on data) | © OpenStreetMap contributors (shared credit) + Overture Maps Foundation |
| **TeleGeography Submarine Cable Map** (712 cables + 1,917 landing points) | `telegeography_submarine_cables/` | **CC BY-NC-SA 3.0** | ❌ **NonCommercial — remove for commercial use** | "© TeleGeography — submarinecablemap.com" |
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@@ -473,7 +473,7 @@ In the app, **Data Layers** groups them as Movement, Cameras, Infrastructure, Ev
_The Space Missions layer replaying a Falcon 9 ascent — labeled `RECONSTRUCTED ESTIMATE`, scrubbable 0.25×–4×._
**Also on the globe:** neighborhood overlays · an optional cockpit WX cloud effect. **Bundled static infrastructure:** Datacenters (4,351), Dams (704), and Submarine Cables (712).
**Also on the globe:** neighborhood overlays · an optional cockpit WX cloud effect. **Bundled static infrastructure:** Datacenters (4,352), Dams (704), and Submarine Cables (712).
![Diving into the Bahamas and revealing labeled submarine cable routes beneath the globe](docs/media/09-undersea-cables.gif)
@@ -0,0 +1,3 @@
- Keep keyless place search on a nearby exact match for names written in
non-Latin scripts instead of discarding the match and retrying without its
proximity ranking (mertkayacs, #1585).
@@ -0,0 +1,2 @@
- Add Troll Housing to the Datacenters layer (4,352 features) by refreshing
Norway from OpenStreetMap data of 2026-10-05 (trygvehhh, #953).
+5 -2
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@@ -5881,8 +5881,11 @@ HTTP refusals and outages remain retryable. Searches share a 12-second total
deadline, with Photon requests capped at six seconds each. Caller/application
cancellation stops retries and late cache writes. Replacing a location search
cancels the previous lookup; disposing its controls cancels the active lookup. Photon uses a soft proximity bias, up to five
candidates, and an unbiased retry for name mismatches. A "place, region" query
prefers a candidate named exactly for the place whose city, county, state,
candidates, and an unbiased retry for name mismatches. Name comparison folds
Latin accents while preserving letters and marks in other scripts, so a
non-Latin name spelled exactly, marks included, keeps its proximity ranking. A
leading "the" counts: "The Hague" does not take a nearby "Hague". A "place, region" query prefers a
candidate named exactly for the place whose city, county, state,
country or country code (or USA/UK) contains every word of the region, and a
settlement or administrative area over a POI when both fit. Nearby results that
fail that check are retried unbiased. After the region checks of both passes, a
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@@ -57,6 +57,6 @@ Consumers use the package exports, which do not import standalone application
globals.
Dataset files and source/license notices remain under `src/data/local_data/`.
Their input counts are 4,351 datacenter features and 704 dam features. Cesium may
Their input counts are 4,352 datacenter features and 704 dam features. Cesium may
expand multipart geometries into multiple entities; entity and stem counts are
different measurements. This change does not refresh or relicense the datasets.
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@@ -572,6 +572,7 @@
"src/search/placeSearch.js",
"src/search/google.js",
"src/keylessGeocoder.js",
"src/data/placeNames.js",
"src/search/geospatial.js",
"src/search/http.js",
"src/search/defaults.js",
+5
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@@ -1,5 +1,10 @@
# Test fixtures
- `photon-moscow-search.json` - Photon responses for `Москва`, captured
2026-11-05 with and without a proximity bias near the Tajikistan namesake.
The fixture is trimmed to the fields the keyless geocoder consumes and is
used only by offline search tests. Data from OpenStreetMap contributors,
ODbL 1.0 (https://www.openstreetmap.org/copyright).
- `tomtom-flow-austin-12-935-1686.pbf` — one real TomTom traffic-flow vector
tile (Mapbox Vector Tile protobuf, layer `"Traffic flow"`), downtown Austin
z12 x935 y1686, captured 2026-07-16 from
+110
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@@ -0,0 +1,110 @@
{
"biased": {
"features": [
{
"geometry": {
"type": "Point",
"coordinates": [71.8339931, 38.948412]
},
"properties": {
"name": "Москва",
"country": "Тоҷикистон"
}
},
{
"geometry": {
"type": "Point",
"coordinates": [37.6063916, 55.625578]
},
"properties": {
"name": "Москва",
"country": "Россия"
}
},
{
"geometry": {
"type": "Point",
"coordinates": [37.6174782, 55.7505412]
},
"properties": {
"name": "Москва",
"country": "Россия"
}
},
{
"geometry": {
"type": "Point",
"coordinates": [37.0536908, 55.7098009]
},
"properties": {
"name": "Москва",
"country": "Россия"
}
},
{
"geometry": {
"type": "Point",
"coordinates": [32.163334, 56.917778]
},
"properties": {
"name": "Москва",
"country": "Россия"
}
}
]
},
"unbiased": {
"features": [
{
"geometry": {
"type": "Point",
"coordinates": [37.6063916, 55.625578]
},
"properties": {
"name": "Москва",
"country": "Россия"
}
},
{
"geometry": {
"type": "Point",
"coordinates": [37.6174782, 55.7505412]
},
"properties": {
"name": "Москва",
"country": "Россия"
}
},
{
"geometry": {
"type": "Point",
"coordinates": [37.0536908, 55.7098009]
},
"properties": {
"name": "Москва",
"country": "Россия"
}
},
{
"geometry": {
"type": "Point",
"coordinates": [32.163334, 56.917778]
},
"properties": {
"name": "Москва",
"country": "Россия"
}
},
{
"geometry": {
"type": "Point",
"coordinates": [71.8339931, 38.948412]
},
"properties": {
"name": "Москва",
"country": "Тоҷикистон"
}
}
]
}
}
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@@ -82,7 +82,7 @@ test('infrastructure factory preserves identity and creates independent state wi
test('dataset URLs still name the complete bundled sources', () => {
for (const [file, count] of [
['datacenters', 4351],
['datacenters', 4352],
['dams', 704],
]) {
const lines = readFileSync(
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@@ -5,7 +5,7 @@ layer.
- Source: OpenStreetMap contributors
- License: Open Database License (ODbL) 1.0
- Feature count: 4,351
- Feature count: 4,352
- Runtime file: `datacenters.geojsonl`
The public-release snapshot removes contact-oriented tags such as email, phone,
@@ -16,3 +16,12 @@ ODbL 1.0 with the required OpenStreetMap attribution.
The original extraction date and query were not recorded alongside this
snapshot. Future refreshes should record both before replacing the file.
## Norway refresh
Features inside Geofabrik's Norway boundary (`norway.poly`, with Svalbard) come
from a newer extract than the rest of the file. Contact tags are dropped as above.
- Extract: Geofabrik `norway-261005.osm.pbf`, OSM data
2026-10-05T20:21:35Z, MD5 `1d2cfdeb98980fce11b8891d0f9146c0`
- Filter: `osmium tags-filter nwr/telecom=data_center nwr/building=data_center`
@@ -3770,15 +3770,15 @@
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{"id":12158409495,"type":"Feature","geometry":{"type":"Point","coordinates":[9.689363435,62.59439936]},"properties":{"id":28723,"tags":{"name":"VisBook AS","telecom":"data_center","website":"https://visbook.com/"},"type":"data_center","osm_id":12158409495}}
@@ -4349,3 +4349,4 @@
{"id":540895898,"type":"Feature","geometry":{"type":"Polygon","coordinates":[[[101.71747909,56.303855963],[101.71782015,56.304420065],[101.721113819,56.303806929],[101.720772759,56.303242994],[101.71747909,56.303855963]]]},"properties":{"id":8271,"tags":{"name":"Битривер Рус","name:en":"Bitriver Rus","name:ru":"Битривер Рус","telecom":"data_center","website":"https://bitriver.farm/","building":"data_center"},"type":"data_center","osm_id":540895898}}
{"id":1082803064,"type":"Feature","geometry":{"type":"Polygon","coordinates":[[[123.948021193,47.340264299],[123.948354625,47.340268239],[123.948490663,47.340269831],[123.948488568,47.340349292],[123.948809762,47.340353064],[123.948811942,47.340267485],[123.948918643,47.340268658],[123.948922918,47.340137817],[123.948023959,47.340126082],[123.948021193,47.340264299]]]},"properties":{"id":13377,"tags":{"name":"联通云数据中心·齐齐哈尔","name:en":"Unicom Data Center of Qiqihar","name:zh":"联通云数据中心·齐齐哈尔","telecom":"data_center","building":"yes","name:zh-Hans":"联通云数据中心·齐齐哈尔","name:zh-Hant":"聯通雲數據中心·齊齊哈爾"},"type":"data_center","osm_id":1082803064}}
{"id":442479059,"type":"Feature","geometry":{"type":"Polygon","coordinates":[[[142.76019226,46.910096898],[142.760192427,46.910325724],[142.760447656,46.910328155],[142.760460397,46.910102263],[142.76019226,46.910096898]]]},"properties":{"id":7471,"tags":{"telecom":"data_center","building":"yes"},"type":"data_center","osm_id":442479059}}
{"id":1551029155,"type":"Feature","geometry":{"type":"Polygon","coordinates":[[[7.1069147,62.8627625],[7.1071207,62.8621617],[7.1075917,62.8616616],[7.1088647,62.8620476],[7.1106308,62.862645],[7.1098655,62.8632827],[7.1089604,62.8630042],[7.1086734,62.8632156],[7.1069147,62.8627625]]]},"properties":{"id":29471,"tags":{"layer":"-1","loc_name":"Troll Housing Klempertåsen","name":"Troll Housing","operator":"Troll Housing AS","telecom":"data_center","website":"https://www.trollhousing.no/"},"type":"data_center","osm_id":1551029155}}
+19 -9
View File
@@ -11,17 +11,16 @@ const FOLD = {
};
/**
* Comparable form of a place name, shared by the bundled packs, the
* OpenFreeMap street and grounds matchers and the Nominatim server: case
* folded, accents removed from Latin letters only, punctuation and symbols
* collapsed to single spaces, and a leading "the" dropped. Other scripts keep
* their marks, so "कुल मार्ग" and "काली मार्ग" stay distinct while "São Paulo",
* "sao paulo" and "SÃO PAULO!" meet.
* Script-aware fold of a place name: case folded, accents removed from Latin
* letters only, punctuation and symbols collapsed to single spaces. Other
* scripts keep their marks, so "कुल मार्ग" and "काली मार्ग" stay distinct while
* "São Paulo", "sao paulo" and "SÃO PAULO!" meet. Every word is kept: "The
* Hague" is not "Hague".
*
* @param {unknown} value
* @returns {string}
*/
export function foldPlaceName(value) {
export function foldPlaceText(value) {
return String(value ?? '')
.toLowerCase()
.replace(/[ßøæłđıœþ]/g, (c) => FOLD[c])
@@ -29,8 +28,19 @@ export function foldPlaceName(value) {
.replace(/(\p{Script=Latin})\p{M}+/gu, '$1')
.normalize('NFKC')
.replace(/[^\p{L}\p{M}\p{N}]+/gu, ' ')
.trim()
.replace(/^the /, '');
.trim();
}
/**
* Comparable form of a place name, shared by the bundled packs, the
* OpenFreeMap street and grounds matchers and the Nominatim server:
* `foldPlaceText` with a leading "the" dropped.
*
* @param {unknown} value
* @returns {string}
*/
export function foldPlaceName(value) {
return foldPlaceText(value).replace(/^the /, '');
}
/**
+7 -9
View File
@@ -1,3 +1,5 @@
import { foldPlaceText } from './data/placeNames.js';
/** Photon/OpenStreetMap place-search adapter. */
const PHOTON_ENDPOINT = 'https://photon.komoot.io/api/';
@@ -233,19 +235,15 @@ export function photonSearchUrl(
}
/**
* Place name reduced to comparable form: unaccented, lowercased, punctuation
* collapsed to single spaces. "Huế" and "Hue" have to compare equal, because a
* user typing either means the same city.
* Place name reduced to comparable form: lowercased, Latin accents removed,
* other scripts preserved, and punctuation collapsed to single spaces. "Huế"
* and "Hue" have to compare equal, because a user typing either means the same
* city.
* @param {string} text
* @returns {string}
*/
export function normalizeToponym(text) {
return String(text ?? '')
.normalize('NFD')
.replace(/[\u0300-\u036f]/g, '')
.toLowerCase()
.replace(/[^a-z0-9]+/g, ' ')
.trim();
return foldPlaceText(text);
}
/**
+58
View File
@@ -35,6 +35,12 @@ import {
import { geocodeNavigationMode } from './locations.js';
const ROOT = path.resolve(path.dirname(fileURLToPath(import.meta.url)), '..');
const MOSCOW_RESPONSES = JSON.parse(
fs.readFileSync(
path.join(ROOT, 'src/data/fixtures/photon-moscow-search.json'),
'utf8',
),
);
/** Photon's real answer for "Hanoi", trimmed to the fields we consume. */
const HANOI = {
@@ -249,6 +255,58 @@ test('a biased near-miss is refused, and the unbiased answer is taken instead',
assert.equal(fetchImpl.urls.length, 2, 'the refused bias costs exactly one extra request');
});
test('a non-Latin exact match keeps the nearby namesake', async () => {
const fetchImpl = photonPair(
MOSCOW_RESPONSES.biased.features,
MOSCOW_RESPONSES.unbiased.features,
);
const result = await geocodeKeyless('Москва', {
bias: '38.90,71.80|39.00,71.90',
fetchImpl,
});
assert.equal(result.label, 'Москва, Тоҷикистон');
assert.equal(fetchImpl.urls.length, 1);
});
test('toponym folding preserves non-Latin scripts', () => {
const cases = [
['Huế', 'hue'],
['Москва', 'москва'],
['Αθήνα', 'αθήνα'],
['القاهرة', 'القاهرة'],
['東京', '東京'],
['São 東京', 'sao 東京'],
['Straße', 'strasse'],
['Tromsø', 'tromso'],
['Łódź', 'lodz'],
['The Hague', 'the hague'],
];
for (const [input, expected] of cases) {
assert.equal(normalizeToponym(input), expected, input);
}
});
test('a leading "the" is part of the name a nearby match must equal', async () => {
// "The Hague" over upstate New York means the Dutch city, not Hague, NY.
const hagueNy = {
geometry: { type: 'Point', coordinates: [-73.5004, 43.6967] },
properties: { osm_key: 'place', osm_value: 'town', type: 'city', name: 'Hague', country: 'United States' },
};
const theHague = {
geometry: { type: 'Point', coordinates: [4.3113, 52.0799] },
properties: { osm_key: 'place', osm_value: 'city', type: 'city', name: 'The Hague', country: 'Nederland' },
};
const fetchImpl = photonPair([hagueNy], [theHague]);
const result = await geocodeKeyless('The Hague', { bias: '43.65,-73.55|43.75,-73.45', fetchImpl });
assert.equal(Math.round(result.lat), 52, `got ${result.label}`);
assert.equal(fetchImpl.urls.length, 2);
});
test('a biased match that leads with the name is taken without a second request', async () => {
// The other half of the rule, and the reason bias exists at all: "Sixth
// Street" over Austin must stay Austin's.