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<?xml version="1.0" encoding="UTF-8" standalone="no"?><!-- Generator: Gravit.io --><svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" style="isolation:isolate" viewBox="0 0 24 24" width="24pt" height="24pt"><defs><clipPath id="_clipPath_uLcmS2JxA7VIHblk7l6YMeLX79Y8G7Ae"><rect width="24" height="24"/></clipPath></defs><g clip-path="url(#_clipPath_uLcmS2JxA7VIHblk7l6YMeLX79Y8G7Ae)"><clipPath id="_clipPath_LcaBA5IhOQefD4brEOUO9CVqEJPY7yH2"><rect x="0" y="0" width="24" height="24" transform="matrix(1,0,0,1,0,0)" fill="rgb(255,255,255)"/></clipPath><g clip-path="url(#_clipPath_LcaBA5IhOQefD4brEOUO9CVqEJPY7yH2)"><g><path d=" M 18.593 16.825 C 20.37 15.006 21.563 12.624 21.563 9.901 C 21.563 4.623 17.278 0.338 12 0.338 C 6.722 0.338 2.438 4.623 2.438 9.901 C 2.438 12.657 3.526 14.954 5.474 16.888 L 5.473 16.888 L 11.611 23.662 L 18.605 16.825 L 18.593 16.825 Z " fill="rgb(244,115,32)"/></g></g><clipPath id="_clipPath_OrqCkZaOqAjNRSqPwWPrUlWfHRCe8FY6"><rect x="2.769" y="0" width="18.462" height="24" transform="matrix(1,0,0,1,0,0)" fill="rgb(255,255,255)"/></clipPath><g clip-path="url(#_clipPath_OrqCkZaOqAjNRSqPwWPrUlWfHRCe8FY6)"><g><path d=" M 11.42 15.671 C 10.367 15.671 9.272 15.439 8.301 14.974 C 8.112 14.845 8.076 14.768 8.076 14.587 L 8.076 13.639 C 8.076 13.466 8.136 13.296 8.456 13.296 C 8.626 13.296 8.74 13.386 8.983 13.562 C 9.956 14.241 10.883 14.517 11.668 14.517 C 12.99 14.517 13.889 13.716 13.889 12.725 C 13.899 10.135 7.986 10.928 7.986 7.106 C 7.986 5.337 9.349 3.79 11.867 3.79 C 13.119 3.79 14.256 4.03 14.896 4.281 C 15.069 4.358 15.103 4.446 15.103 4.622 L 15.103 5.719 C 15.103 5.887 15.051 6.019 14.844 6.019 C 14.677 6.019 14.542 5.915 14.333 5.76 C 13.576 5.218 12.853 4.882 11.906 4.882 C 10.847 4.882 10.015 5.451 10.015 6.328 C 10.015 8.498 16.014 8.265 16.014 11.751 C 16.014 14.385 13.819 15.625 11.418 15.625" fill="rgb(255,255,255)"/></g></g></g></svg>
|
||||
|
After Width: | Height: | Size: 1.9 KiB |
|
|
@ -0,0 +1 @@
|
|||
<?xml version="1.0" encoding="UTF-8" standalone="no"?><!-- Generator: Gravit.io --><svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" style="isolation:isolate" viewBox="0 0 24 24" width="24pt" height="24pt"><defs><clipPath id="_clipPath_C68jqAiFlj4tK3Frx0NJIhh7AvQKhYjv"><rect width="24" height="24"/></clipPath></defs><g clip-path="url(#_clipPath_C68jqAiFlj4tK3Frx0NJIhh7AvQKhYjv)"><clipPath id="_clipPath_3PHc7NS60qX5PNgOh9qwBTdUQqD6xEeK"><rect x="0" y="0" width="24" height="24" transform="matrix(1,0,0,1,0,0)" fill="rgb(255,255,255)"/></clipPath><g clip-path="url(#_clipPath_3PHc7NS60qX5PNgOh9qwBTdUQqD6xEeK)"><g><path d=" M 18.593 16.825 C 20.37 15.006 21.563 12.624 21.563 9.901 C 21.563 4.623 17.278 0.338 12 0.338 C 6.722 0.338 2.438 4.623 2.438 9.901 C 2.438 12.657 3.526 14.954 5.474 16.888 L 5.473 16.888 L 11.611 23.662 L 18.605 16.825 L 18.593 16.825 Z " fill="rgb(244,115,32)"/></g></g><clipPath id="_clipPath_XuF7U73V2365fEjjsedINyh0BkwOzQuz"><rect x="2.769" y="0" width="18.462" height="24" transform="matrix(1,0,0,1,0,0)" fill="rgb(255,255,255)"/></clipPath><g clip-path="url(#_clipPath_XuF7U73V2365fEjjsedINyh0BkwOzQuz)"><g><circle vector-effect="non-scaling-stroke" cx="12" cy="9.803280691371878" r="6.866670047544382" fill="rgb(180,5,85)"/><path d=" M 11.48 14.409 C 10.663 14.409 9.813 14.228 9.06 13.868 C 8.914 13.768 8.885 13.707 8.885 13.567 L 8.885 12.832 C 8.885 12.698 8.932 12.565 9.18 12.565 C 9.312 12.565 9.4 12.635 9.589 12.772 C 10.344 13.299 11.064 13.513 11.673 13.513 C 12.699 13.513 13.396 12.892 13.396 12.122 C 13.404 10.113 8.815 10.728 8.815 7.762 C 8.815 6.389 9.873 5.189 11.827 5.189 C 12.799 5.189 13.681 5.375 14.178 5.57 C 14.312 5.63 14.338 5.698 14.338 5.834 L 14.338 6.686 C 14.338 6.816 14.298 6.918 14.138 6.918 C 14.007 6.918 13.903 6.838 13.741 6.718 C 13.154 6.297 12.593 6.037 11.857 6.037 C 11.036 6.037 10.39 6.478 10.39 7.159 C 10.39 8.842 15.045 8.662 15.045 11.367 C 15.045 13.411 13.342 14.373 11.478 14.373" fill="rgb(255,255,255)"/></g></g></g></svg>
|
||||
|
After Width: | Height: | Size: 2 KiB |
1
frontend/public/assets/poi-icons/brands/spar_24px.svg
Normal file
1
frontend/public/assets/poi-icons/brands/spar_24px.svg
Normal file
|
|
@ -0,0 +1 @@
|
|||
<?xml version="1.0" encoding="UTF-8" standalone="no"?><!-- Generator: Gravit.io --><svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" style="isolation:isolate" viewBox="0 0 24 24" width="24pt" height="24pt"><defs><clipPath id="_clipPath_rpFVSRqVSaLYzfogktnTh1gpTAvC3z4t"><rect width="24" height="24"/></clipPath></defs><g clip-path="url(#_clipPath_rpFVSRqVSaLYzfogktnTh1gpTAvC3z4t)"><g><clipPath id="_clipPath_52tIjBoZNS2z5UiHeuhqSyAk2TbBH6fB"><rect x="2.769" y="0" width="18.462" height="24" transform="matrix(1,0,0,1,0,0)" fill="rgb(255,255,255)"/></clipPath><g clip-path="url(#_clipPath_52tIjBoZNS2z5UiHeuhqSyAk2TbBH6fB)"><g><g><g filter="url(#Nngi2mi8paGhQEphT34bVWRHa2eHfFFZ)"><ellipse vector-effect="non-scaling-stroke" cx="11.907692307692306" cy="22.707692307692298" rx="2.9999999999999982" ry="0.9307692307692292" fill="rgb(162,162,162)" fill-opacity="0.7"/></g><defs><filter id="Nngi2mi8paGhQEphT34bVWRHa2eHfFFZ" x="-200%" y="-200%" width="400%" height="400%" filterUnits="objectBoundingBox" color-interpolation-filters="sRGB"><feGaussianBlur xmlns="http://www.w3.org/2000/svg" stdDeviation="4.293609062839028"/></filter></defs><g filter="url(#qL9wMppyVy9Zvz7AAeDARM1enIP9E3Cs)"><path d=" M 3.642 8.72 C 3.642 4.079 7.363 0.323 11.947 0.323 C 16.537 0.323 20.258 4.079 20.258 8.72 C 20.258 11.21 19.179 13.456 17.467 14.994 C 17.373 15.075 14.11 18.144 11.926 22.846 C 11.104 19.519 7.916 16.321 6.453 15.014 C 4.727 13.469 3.642 11.224 3.642 8.72 Z " fill="rgb(236,27,36)"/></g><defs><filter id="qL9wMppyVy9Zvz7AAeDARM1enIP9E3Cs" x="-200%" y="-200%" width="400%" height="400%" filterUnits="objectBoundingBox" color-interpolation-filters="sRGB"><feGaussianBlur xmlns="http://www.w3.org/2000/svg" stdDeviation="0"/></filter></defs></g><circle vector-effect="non-scaling-stroke" cx="11.990653846153847" cy="8.647148769230771" r="6.000000000000001" fill="rgb(255,255,255)"/><g/></g></g><g><path d=" M 6.985 8.657 C 6.985 10.444 7.885 12.045 9.47 12.828 C 10.961 13.564 12.946 13.564 14.441 12.828 C 15.915 12.102 16.922 10.444 16.922 8.657 C 16.922 5.922 14.735 3.687 11.953 3.687 C 9.159 3.687 6.985 5.905 6.985 8.657 Z " fill="rgb(21,121,70)"/><path d=" M 11.956 4.976 C 11.456 6.671 9.966 9.156 8.879 10.374 L 11.456 10.374 L 11.462 11.113 C 11.456 11.531 11.123 11.966 10.639 11.96 C 9.966 11.952 9.124 11.641 8.615 10.778 C 8.245 10.148 7.976 9.651 7.976 8.657 C 7.976 6.483 9.727 4.682 11.954 4.682 C 14.156 4.682 15.931 6.535 15.931 8.657 C 15.931 9.651 15.467 10.512 15.314 10.76 C 14.77 11.641 13.942 11.952 13.301 11.96 C 12.859 11.965 12.451 11.641 12.451 11.11 L 12.451 10.374 L 15.068 10.374 C 13.942 9.156 12.451 6.671 11.956 4.976 Z " fill="rgb(255,255,255)"/></g></g></g></svg>
|
||||
|
After Width: | Height: | Size: 2.7 KiB |
1
frontend/public/assets/poi-icons/brands/tesco_24px.svg
Normal file
1
frontend/public/assets/poi-icons/brands/tesco_24px.svg
Normal file
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|
After Width: | Height: | Size: 5.2 KiB |
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|
After Width: | Height: | Size: 22 KiB |
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|
After Width: | Height: | Size: 13 KiB |
|
|
@ -0,0 +1 @@
|
|||
<?xml version="1.0" encoding="UTF-8" standalone="no"?><!-- Generator: Gravit.io --><svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" style="isolation:isolate" viewBox="0 0 24 24" width="24pt" height="24pt"><defs><clipPath id="_clipPath_dPlM55J3P6HBT0P1pg4VGNm2OCT1l9o5"><rect width="24" height="24"/></clipPath></defs><g clip-path="url(#_clipPath_dPlM55J3P6HBT0P1pg4VGNm2OCT1l9o5)"><clipPath id="_clipPath_uA3SnIvIOySb5H0suN30qRKL5xF6FRle"><rect x="0" y="0" width="24" height="24" transform="matrix(1,0,0,1,0,0)" fill="rgb(255,255,255)"/></clipPath><g clip-path="url(#_clipPath_uA3SnIvIOySb5H0suN30qRKL5xF6FRle)"><g><path d=" M 18.593 16.825 C 20.37 15.006 21.563 12.624 21.563 9.901 C 21.563 4.623 17.278 0.338 12 0.338 C 6.722 0.338 2.438 4.623 2.438 9.901 C 2.438 12.657 3.526 14.954 5.474 16.888 L 5.473 16.888 L 11.611 23.662 L 18.605 16.825 L 18.593 16.825 Z " fill="rgb(123,177,52)"/></g></g><clipPath id="_clipPath_V6nvrUR7kjDuH2Uzn4wpdDPmqNp0risW"><rect x="2.769" y="0" width="18.462" height="24" transform="matrix(1,0,0,1,0,0)" fill="rgb(255,255,255)"/></clipPath><g clip-path="url(#_clipPath_V6nvrUR7kjDuH2Uzn4wpdDPmqNp0risW)"><g><circle vector-effect="non-scaling-stroke" cx="11.999999999999998" cy="9.742563943442729" r="6.651524726508006" fill="rgb(255,255,255)"/><g><path d=" M 13.666 13.386 L 11.998 9.376 L 10.33 13.386 L 7.852 7.371 L 8.857 7.371 L 10.346 11.251 L 11.998 7.197 L 13.644 11.251 L 15.138 7.371 L 16.144 7.371 L 13.666 13.386 Z " fill="rgb(123,177,52)"/></g></g></g></g></svg>
|
||||
|
After Width: | Height: | Size: 1.5 KiB |
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|
After Width: | Height: | Size: 35 KiB |
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|
After Width: | Height: | Size: 11 KiB |
|
|
@ -0,0 +1 @@
|
|||
<?xml version="1.0" encoding="UTF-8" standalone="no"?><!-- Generator: Gravit.io --><svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" style="isolation:isolate" viewBox="0 0 24 24" width="24pt" height="24pt"><defs><clipPath id="_clipPath_wt5ZtCPd83P04Y5gLpCTm5PnahVUld6n"><rect width="24" height="24"/></clipPath></defs><g clip-path="url(#_clipPath_wt5ZtCPd83P04Y5gLpCTm5PnahVUld6n)"><circle vector-effect="non-scaling-stroke" cx="12" cy="12" r="9.71875" fill="rgb(214,35,30)"/><circle vector-effect="non-scaling-stroke" cx="12" cy="12" r="6.375" fill="rgb(255,255,255)"/><rect x="0.031" y="10.219" width="23.938" height="3.563" transform="matrix(1,0,0,1,0,0)" fill="rgb(0,24,163)"/></g></svg>
|
||||
|
After Width: | Height: | Size: 724 B |
|
|
@ -68,7 +68,9 @@ export default function HexCanvas({
|
|||
height: (hex.size * 2) / Math.sqrt(3),
|
||||
opacity: hex.opacity * (isDark ? 0.45 : 0.6),
|
||||
clipPath: 'polygon(50% 0%, 100% 25%, 100% 75%, 50% 100%, 0% 75%, 0% 25%)',
|
||||
animation: animated ? `hex-bob ${hex.bobDuration}s ease-in-out infinite` : undefined,
|
||||
animation: animated
|
||||
? `hex-bob ${hex.bobDuration}s ease-in-out infinite`
|
||||
: undefined,
|
||||
'--bob': `${hex.bobAmount}px`,
|
||||
} as React.CSSProperties
|
||||
}
|
||||
|
|
|
|||
|
|
@ -281,8 +281,8 @@ const INSPECT_JOURNEYS: JourneyInstructionPreset[] = [
|
|||
bestMinutes: 29,
|
||||
legs: [
|
||||
{ mode: 'Victoria', from: 'Oxford Circus Underground Station', to: 'Victoria', minutes: 4 },
|
||||
{ mode: 'District', from: 'Victoria', to: 'Earl\'s Court', minutes: 10 },
|
||||
{ mode: 'walk', from: 'Earl\'s Court', to: 'SW5 9AA', minutes: 7 },
|
||||
{ mode: 'District', from: 'Victoria', to: "Earl's Court", minutes: 10 },
|
||||
{ mode: 'walk', from: "Earl's Court", to: 'SW5 9AA', minutes: 7 },
|
||||
],
|
||||
},
|
||||
];
|
||||
|
|
@ -478,8 +478,7 @@ function FilterPreviewRow({
|
|||
<span
|
||||
className={`w-fit shrink-0 rounded-md px-2.5 py-1 text-xs font-bold leading-none ${style.chip}`}
|
||||
>
|
||||
+
|
||||
<span className="font-mono tabular-nums">{withoutCount.toLocaleString()}</span>
|
||||
+<span className="font-mono tabular-nums">{withoutCount.toLocaleString()}</span>
|
||||
{' without this filter'}
|
||||
</span>
|
||||
</div>
|
||||
|
|
@ -946,9 +945,7 @@ function ScoutScreen({ isActive }: { isActive: boolean }) {
|
|||
|
||||
<div
|
||||
className={`overflow-hidden transition-all duration-500 ease-out ${
|
||||
isTableRevealed
|
||||
? 'mt-3 max-h-64 opacity-100 sm:mt-4'
|
||||
: 'mt-0 max-h-0 opacity-0'
|
||||
isTableRevealed ? 'mt-3 max-h-64 opacity-100 sm:mt-4' : 'mt-0 max-h-0 opacity-0'
|
||||
}`}
|
||||
aria-hidden={!isTableRevealed}
|
||||
>
|
||||
|
|
@ -1262,10 +1259,7 @@ export default function HomePage({
|
|||
if (!scroller) return;
|
||||
const start = scroller.scrollTop;
|
||||
const end =
|
||||
start +
|
||||
target.getBoundingClientRect().top -
|
||||
scroller.getBoundingClientRect().top +
|
||||
24;
|
||||
start + target.getBoundingClientRect().top - scroller.getBoundingClientRect().top + 24;
|
||||
const distance = end - start;
|
||||
const duration = 1200;
|
||||
let startTime: number;
|
||||
|
|
@ -1364,9 +1358,7 @@ export default function HomePage({
|
|||
|
||||
{/* Our philosophy */}
|
||||
<div className={`${HOME_SECTION_CONTAINER_CLASS} pt-12 md:pt-20 pb-4`}>
|
||||
<h2 className={`${HOME_SECTION_HEADING_CLASS} mb-6`}>
|
||||
{t('home.ourPhilosophy')}
|
||||
</h2>
|
||||
<h2 className={`${HOME_SECTION_HEADING_CLASS} mb-6`}>{t('home.ourPhilosophy')}</h2>
|
||||
<div className="space-y-4 text-base md:text-lg leading-relaxed text-warm-700 dark:text-warm-300">
|
||||
<p>{t('home.philosophyP1')}</p>
|
||||
<p>{highlightBrandText(t('home.philosophyP2'))}</p>
|
||||
|
|
|
|||
|
|
@ -84,7 +84,11 @@ interface Dimensions {
|
|||
height: number;
|
||||
}
|
||||
|
||||
function resolveInset(pixelValue: number | undefined, ratioValue: number | undefined, size: number) {
|
||||
function resolveInset(
|
||||
pixelValue: number | undefined,
|
||||
ratioValue: number | undefined,
|
||||
size: number
|
||||
) {
|
||||
return Math.max(0, (pixelValue ?? 0) + (ratioValue ?? 0) * size);
|
||||
}
|
||||
|
||||
|
|
@ -122,8 +126,7 @@ function getViewportRelativeVisibleAreaCenter(
|
|||
const viewportWidth = window.innerWidth;
|
||||
const viewportHeight = window.innerHeight;
|
||||
const viewportLeft = resolveInset(area.left, area.leftRatio, viewportWidth);
|
||||
const viewportRight =
|
||||
viewportWidth - resolveInset(area.right, area.rightRatio, viewportWidth);
|
||||
const viewportRight = viewportWidth - resolveInset(area.right, area.rightRatio, viewportWidth);
|
||||
const viewportTop = resolveInset(area.top, area.topRatio, viewportHeight);
|
||||
const viewportBottom =
|
||||
viewportHeight - resolveInset(area.bottom, area.bottomRatio, viewportHeight);
|
||||
|
|
@ -532,7 +535,12 @@ export default memo(function Map({
|
|||
<div className="px-3 py-2">
|
||||
<div className="flex items-center gap-2">
|
||||
<img
|
||||
src={getPoiIconUrl(popupInfo.category, popupInfo.emoji)}
|
||||
src={getPoiIconUrl(
|
||||
popupInfo.category,
|
||||
popupInfo.emoji,
|
||||
popupInfo.icon_category,
|
||||
popupInfo.name
|
||||
)}
|
||||
alt=""
|
||||
aria-hidden="true"
|
||||
loading="lazy"
|
||||
|
|
|
|||
|
|
@ -415,10 +415,13 @@ export default function MapPage({
|
|||
[consumePendingCurrentLocationFlyTo, handleCurrentLocationSearch, isMobile]
|
||||
);
|
||||
|
||||
const handleMobileDrawerPanelRectChange = useCallback((rect: DOMRectReadOnly) => {
|
||||
const handleMobileDrawerPanelRectChange = useCallback(
|
||||
(rect: DOMRectReadOnly) => {
|
||||
mobileDrawerPanelRectRef.current = rect;
|
||||
consumePendingCurrentLocationFlyTo(rect);
|
||||
}, [consumePendingCurrentLocationFlyTo]);
|
||||
},
|
||||
[consumePendingCurrentLocationFlyTo]
|
||||
);
|
||||
|
||||
const handleMobileDrawerClose = useCallback(() => {
|
||||
pendingCurrentLocationFlyToRef.current = null;
|
||||
|
|
|
|||
|
|
@ -54,10 +54,7 @@ function clamp(value: number, min: number, max: number): number {
|
|||
return Math.min(max, Math.max(min, value));
|
||||
}
|
||||
|
||||
export default function MobileBottomSheet({
|
||||
children,
|
||||
legend,
|
||||
}: MobileBottomSheetProps) {
|
||||
export default function MobileBottomSheet({ children, legend }: MobileBottomSheetProps) {
|
||||
const viewport = useVisualViewportState();
|
||||
const sheetRef = useRef<HTMLDivElement>(null);
|
||||
const scrollRef = useRef<HTMLDivElement>(null);
|
||||
|
|
|
|||
|
|
@ -64,9 +64,7 @@ describe('useMapData', () => {
|
|||
);
|
||||
|
||||
await act(async () => {
|
||||
result.current.handleViewChange(
|
||||
viewChange({ south: 1, west: 1, north: 2, east: 2 })
|
||||
);
|
||||
result.current.handleViewChange(viewChange({ south: 1, west: 1, north: 2, east: 2 }));
|
||||
});
|
||||
await act(async () => {
|
||||
vi.advanceTimersByTime(150);
|
||||
|
|
@ -74,9 +72,7 @@ describe('useMapData', () => {
|
|||
expect(requests).toHaveLength(1);
|
||||
|
||||
await act(async () => {
|
||||
result.current.handleViewChange(
|
||||
viewChange({ south: 3, west: 3, north: 4, east: 4 })
|
||||
);
|
||||
result.current.handleViewChange(viewChange({ south: 3, west: 3, north: 4, east: 4 }));
|
||||
});
|
||||
|
||||
await act(async () => {
|
||||
|
|
|
|||
|
|
@ -34,6 +34,17 @@ const busStop: POI = {
|
|||
emoji: '🚌',
|
||||
};
|
||||
|
||||
const foodWarehouse: POI = {
|
||||
id: 'poi-4',
|
||||
name: 'Iceland Avonmead Food Warehouse',
|
||||
category: 'Iceland',
|
||||
icon_category: 'The Food Warehouse',
|
||||
group: 'Groceries',
|
||||
lat: 51.49,
|
||||
lng: -0.18,
|
||||
emoji: '🛒',
|
||||
};
|
||||
|
||||
function layerById(layers: readonly unknown[], id: string) {
|
||||
const layer = layers.find((item) => (item as { id?: string }).id === id);
|
||||
if (!layer) throw new Error(`Layer ${id} not found`);
|
||||
|
|
@ -62,8 +73,18 @@ describe('usePoiLayers', () => {
|
|||
const iconLayer = layerById(result.current.poiLayers, 'poi-icons');
|
||||
const getIcon = iconLayer.props.getIcon as (poi: POI) => { url: string };
|
||||
|
||||
expect(getIcon(waitrose).url).toBe(
|
||||
'https://geolytix.github.io/MapIcons/brands/waitrose_24px.svg'
|
||||
expect(getIcon(waitrose).url).toBe('/assets/poi-icons/brands/waitrose_24px.svg');
|
||||
});
|
||||
|
||||
it('prefers POI fascia icon categories for map marker icons', () => {
|
||||
const { result } = renderHook(() =>
|
||||
usePoiLayers({ pois: [foodWarehouse], zoom: 15, isDark: false })
|
||||
);
|
||||
const iconLayer = layerById(result.current.poiLayers, 'poi-icons');
|
||||
const getIcon = iconLayer.props.getIcon as (poi: POI) => { url: string };
|
||||
|
||||
expect(getIcon(foodWarehouse).url).toBe(
|
||||
'/assets/poi-icons/brands/iceland_food_warehouse_24px.svg'
|
||||
);
|
||||
});
|
||||
|
||||
|
|
@ -99,6 +120,7 @@ describe('usePoiLayers', () => {
|
|||
y: 88,
|
||||
name: supermarket.name,
|
||||
category: supermarket.category,
|
||||
icon_category: undefined,
|
||||
group: supermarket.group,
|
||||
emoji: supermarket.emoji,
|
||||
id: supermarket.id,
|
||||
|
|
|
|||
|
|
@ -19,6 +19,7 @@ export interface PopupInfo {
|
|||
y: number;
|
||||
name: string;
|
||||
category: string;
|
||||
icon_category?: string;
|
||||
group: string;
|
||||
emoji: string;
|
||||
id: string;
|
||||
|
|
@ -49,6 +50,7 @@ export function usePoiLayers({ pois, zoom, isDark }: UsePoiLayersProps) {
|
|||
y: info.y,
|
||||
name: info.object.name,
|
||||
category: info.object.category,
|
||||
icon_category: info.object.icon_category,
|
||||
group: info.object.group,
|
||||
emoji: info.object.emoji,
|
||||
id: info.object.id,
|
||||
|
|
@ -176,7 +178,7 @@ export function usePoiLayers({ pois, zoom, isDark }: UsePoiLayersProps) {
|
|||
data: visiblePois,
|
||||
getPosition: (d) => [d.lng, d.lat],
|
||||
getIcon: (d) => ({
|
||||
url: getPoiIconUrl(d.category, d.emoji),
|
||||
url: getPoiIconUrl(d.category, d.emoji, d.icon_category, d.name),
|
||||
width: 72,
|
||||
height: 72,
|
||||
}),
|
||||
|
|
|
|||
|
|
@ -54,7 +54,8 @@ const descriptions: Record<string, Record<string, string>> = {
|
|||
'Health Deprivation and Disability Score':
|
||||
'Score de santé et handicap (plus élevé = meilleurs résultats)',
|
||||
'Housing Conditions Score': 'Qualité et état du logement (plus élevé = meilleur)',
|
||||
'Air Quality and Road Safety Score': 'Qualité de l’air et sécurité routière (plus élevé = meilleur)',
|
||||
'Air Quality and Road Safety Score':
|
||||
'Qualité de l’air et sécurité routière (plus élevé = meilleur)',
|
||||
'Serious crime per 1k residents (avg/yr)': 'Taux de crimes graves pour 1 000 habitants par an',
|
||||
'Minor crime per 1k residents (avg/yr)': 'Taux de délits mineurs pour 1 000 habitants par an',
|
||||
'Serious crime (avg/yr)': 'Agrégat des catégories de crimes graves par an',
|
||||
|
|
@ -137,8 +138,7 @@ const descriptions: Record<string, Record<string, string>> = {
|
|||
'Outstanding secondary schools within 5km':
|
||||
'Von Ofsted mit Hervorragend bewertete weiterführende Schulen im Umkreis von 5 km',
|
||||
'Education, Skills and Training Score': 'Bildungsqualitätsscore der Gegend (höher = besser)',
|
||||
'Income Score':
|
||||
'Einkommensbenachteiligungsrate, invertiert (höher = weniger benachteiligt)',
|
||||
'Income Score': 'Einkommensbenachteiligungsrate, invertiert (höher = weniger benachteiligt)',
|
||||
'Employment Score':
|
||||
'Beschäftigungsbenachteiligungsrate, invertiert (höher = weniger benachteiligt)',
|
||||
'Health Deprivation and Disability Score':
|
||||
|
|
|
|||
|
|
@ -433,8 +433,7 @@ const de: Translations = {
|
|||
'Lebenslanger Zugang zu der Karte, die zeigt, wo Sie suchen sollten, bevor Sie Besichtigungen buchen.',
|
||||
costContext:
|
||||
'Käufer verbringen oft Abende damit, Inserate, Pendelzeiten, Schulberichte, Kriminalitätskarten, Street View und Verkaufspreise zusammenzuführen. In London ist das besonders mühsam, aber dasselbe Rechercheproblem gibt es in ganz England. Perfect Postcode bringt die Gebietsrecherche auf eine Karte, bevor Sie Wochenenden, Gebühren und Aufmerksamkeit investieren.',
|
||||
lessThanSurvey:
|
||||
'Weniger als ein Gutachten. Deutlich wirksamer, um Ihre Auswahl zu steuern.',
|
||||
lessThanSurvey: 'Weniger als ein Gutachten. Deutlich wirksamer, um Ihre Auswahl zu steuern.',
|
||||
currentTier: 'Aktuelle Stufe',
|
||||
firstNUsers: 'Erste {{count}} Nutzer',
|
||||
everyoneAfter: 'Alle danach',
|
||||
|
|
@ -723,8 +722,7 @@ const de: Translations = {
|
|||
genericFreeInvite: 'Du wurdest eingeladen, kostenlosen lebenslangen Zugang zu erhalten.',
|
||||
genericDiscount: 'Ein Freund hat 30% Rabatt auf lebenslangen Zugang mit dir geteilt.',
|
||||
exploreEvery: 'Finde Postleitzahlen, die zu deinem Leben passen',
|
||||
propertyInfo:
|
||||
'Preise, Pendelzeit, Schulen, Kriminalität, Lärm, Breitband, EPC und mehr',
|
||||
propertyInfo: 'Preise, Pendelzeit, Schulen, Kriminalität, Lärm, Breitband, EPC und mehr',
|
||||
invalidInvite: 'Ungültige Einladung',
|
||||
inviteAlreadyUsed: 'Einladung bereits verwendet',
|
||||
inviteAlreadyUsedDesc: 'Dieser Einladungslink wurde bereits eingelöst.',
|
||||
|
|
|
|||
|
|
@ -725,8 +725,7 @@ const fr: Translations = {
|
|||
genericFreeInvite: 'Vous avez été invité à obtenir un accès à vie gratuit.',
|
||||
genericDiscount: 'Un ami vous fait bénéficier d’une réduction de 30% sur l’accès à vie.',
|
||||
exploreEvery: 'Trouvez les codes postaux adaptés à votre vie',
|
||||
propertyInfo:
|
||||
'Prix, trajet, écoles, criminalité, bruit, débit internet, DPE et plus encore',
|
||||
propertyInfo: 'Prix, trajet, écoles, criminalité, bruit, débit internet, DPE et plus encore',
|
||||
invalidInvite: 'Invitation invalide',
|
||||
inviteAlreadyUsed: 'Invitation déjà utilisée',
|
||||
inviteAlreadyUsedDesc: 'Ce lien d’invitation a déjà été utilisé.',
|
||||
|
|
|
|||
|
|
@ -589,15 +589,15 @@ const hu: Translations = {
|
|||
faqSafety2A:
|
||||
'Foglalás előtt ellenőrizd a bűnözést, közúti zajt, internetet, parkokat, élelmiszerboltokat, iskolákat és ingázást. A hirdetési fotók hasznosak lehetnek, de ne azokból derüljön ki először, milyen az utca.',
|
||||
// FAQ items — Families and Schools
|
||||
faqFamilies1Q:
|
||||
'Mely területeken jó az iskolák, tér, biztonság és ingázás keveréke?',
|
||||
faqFamilies1Q: 'Mely területeken jó az iskolák, tér, biztonság és ingázás keveréke?',
|
||||
faqFamilies1A:
|
||||
'Tedd egy térképre az iskolaminősítéseket, bűnözést, parkokat, ingázást, teret, otthontípust és költségvetést. Az eredmény gyakorlati családi lista, nem sok külön keresés halmaza.',
|
||||
faqFamilies2Q: 'Ez bizonyítja, hogy iskola-felvételi körzeten belül vagyok?',
|
||||
faqFamilies2A:
|
||||
'Nem. Közeli iskolaminőséget és helyi oktatási információkat mutatunk, de a felvételi határok és elsőbbségi szabályok változhatnak. A Perfect Postcode-dal válogass helyeket, majd ellenőrizd a körzeteket és felvételit az iskolánál vagy a helyi önkormányzatnál.',
|
||||
// FAQ items — Environment and Quality of Life
|
||||
faqEnv1Q: 'Hogyan kerülhetek el zajos utat az ingázás vagy internet minőségének elvesztése nélkül?',
|
||||
faqEnv1Q:
|
||||
'Hogyan kerülhetek el zajos utat az ingázás vagy internet minőségének elvesztése nélkül?',
|
||||
faqEnv1A:
|
||||
'Szűrj közúti zajra, miközben az ingázás, internet, ár és otthonszűrők aktívak maradnak. Egy jellemző szerint színezheted a térképet, a többi pedig reálisan tartja a listát.',
|
||||
faqEnv2Q: 'Mutat árvíz-, süllyedés- vagy felmérési kockázatot?',
|
||||
|
|
@ -720,8 +720,7 @@ const hu: Translations = {
|
|||
genericDiscount:
|
||||
'Egy barát megoszt veled egy 30%-os kedvezményt az élethosszig tartó hozzáférésre.',
|
||||
exploreEvery: 'Találd meg az életedhez illő irányítószámokat',
|
||||
propertyInfo:
|
||||
'Árak, ingázás, iskolák, bűnözés, zaj, szélessáv, EPC és még sok más',
|
||||
propertyInfo: 'Árak, ingázás, iskolák, bűnözés, zaj, szélessáv, EPC és még sok más',
|
||||
invalidInvite: 'Érvénytelen meghívó',
|
||||
inviteAlreadyUsed: 'A meghívó már felhasználva',
|
||||
inviteAlreadyUsedDesc: 'Ez a meghívó link már be lett váltva.',
|
||||
|
|
|
|||
|
|
@ -346,8 +346,7 @@ const zh: Translations = {
|
|||
showcaseFeatureTravelShort: '出行',
|
||||
showcaseStep1Tab: '筛选',
|
||||
showcaseStep1Title: '把模糊需求变成精准搜索',
|
||||
showcaseStep1Body:
|
||||
'设置真正重要的条件，并清楚看到每项要求为您排除了多少不合适的邮编。',
|
||||
showcaseStep1Body: '设置真正重要的条件，并清楚看到每项要求为您排除了多少不合适的邮编。',
|
||||
showcaseStep1Chip1: '安静街道',
|
||||
showcaseStep1Chip2: '顶级小学',
|
||||
showcaseStep1Chip3: '£500k 以内',
|
||||
|
|
|
|||
|
|
@ -133,56 +133,59 @@ export const POI_DEFAULT_COLOR: [number, number, number] = [107, 114, 128];
|
|||
/** POI category → icon/logo URL for branded and transport categories */
|
||||
export const POI_CATEGORY_LOGOS: Record<string, string> = {
|
||||
Airport: '/assets/twemoji/2708.png',
|
||||
Aldi: 'https://geolytix.github.io/MapIcons/brands/aldi_24px.svg',
|
||||
Amazon: 'https://geolytix.github.io/MapIcons/brands/amazon_fresh_alt_24px.svg',
|
||||
Asda: 'https://geolytix.github.io/MapIcons/asda/asda_primary.svg',
|
||||
'Asda Express': 'https://geolytix.github.io/MapIcons/asda/asda_express_24px.svg',
|
||||
'Asda Living': 'https://geolytix.github.io/MapIcons/asda/asda_living_24px.svg',
|
||||
'Asda PFS': 'https://geolytix.github.io/MapIcons/asda/asda_pfs_24px.svg',
|
||||
Aldi: '/assets/poi-icons/logos/aldi.svg',
|
||||
Amazon: '/assets/poi-icons/brands_2024/amazon_fresh.svg',
|
||||
Asda: '/assets/poi-icons/logos/asda.svg',
|
||||
'Asda Express': '/assets/poi-icons/logos/asda.svg',
|
||||
'Asda Living': '/assets/poi-icons/logos/asda.svg',
|
||||
'Asda PFS': '/assets/poi-icons/logos/asda.svg',
|
||||
'Asda Supercentre': '/assets/poi-icons/logos/asda.svg',
|
||||
'Asda Supermarket': '/assets/poi-icons/logos/asda.svg',
|
||||
'Asda Superstore': '/assets/poi-icons/logos/asda.svg',
|
||||
Bakery: '/assets/twemoji/1f950.png',
|
||||
Booths: 'https://geolytix.github.io/MapIcons/brands/booths_24px.svg',
|
||||
Budgens: 'https://geolytix.github.io/MapIcons/brands/budgens_24px.svg',
|
||||
Booths: '/assets/poi-icons/brands_2024/booths.svg',
|
||||
Budgens: '/assets/poi-icons/brands_2024/budgens.svg',
|
||||
'Bus station': '/assets/twemoji/1f68c.png',
|
||||
'Bus stop': '/assets/twemoji/1f68f.png',
|
||||
'Butcher & Fishmonger': '/assets/twemoji/1f969.png',
|
||||
Centra: 'https://geolytix.github.io/MapIcons/brands/centra_24px.svg',
|
||||
'Co-op': 'https://geolytix.github.io/MapIcons/brands/coop_24px.svg',
|
||||
COOK: 'https://geolytix.github.io/MapIcons/brands/cook.svg',
|
||||
Centra: '/assets/poi-icons/logos/centra.svg',
|
||||
'Co-op': '/assets/poi-icons/logos/coop.svg',
|
||||
COOK: '/assets/poi-icons/brands_2024/cook.svg',
|
||||
'Convenience Store': '/assets/twemoji/1f3ea.png',
|
||||
Costco: 'https://geolytix.github.io/MapIcons/brands/costco_24px.svg',
|
||||
Costco: '/assets/poi-icons/brands/costco.svg',
|
||||
'Deli & Specialty': '/assets/twemoji/1f9c6.png',
|
||||
'Dunnes Stores': 'https://geolytix.github.io/MapIcons/brands/dunnes_stores_24px.svg',
|
||||
Farmfoods: 'https://geolytix.github.io/MapIcons/brands/farmfoods_updated_24px.svg',
|
||||
'Dunnes Stores': '/assets/poi-icons/brands_2024/dunnes_stores.svg',
|
||||
Farmfoods: '/assets/poi-icons/brands_2023/supermarkets/farmfoods.svg',
|
||||
Ferry: '/assets/twemoji/26f4.png',
|
||||
Greengrocer: '/assets/twemoji/1f96c.png',
|
||||
'Heron Foods': 'https://geolytix.github.io/MapIcons/brands/heron_24px.svg',
|
||||
Iceland: 'https://geolytix.github.io/MapIcons/brands/iceland_24px.svg',
|
||||
Lidl: 'https://geolytix.github.io/MapIcons/brands/lidl_24px.svg',
|
||||
Makro: 'https://geolytix.github.io/MapIcons/brands/makro_24px.svg',
|
||||
'M&S': 'https://geolytix.github.io/MapIcons/brands/mns_24px.svg',
|
||||
'M&S Clothing': 'https://geolytix.github.io/MapIcons/brands/mns_high_street_24px.svg',
|
||||
'M&S Food': 'https://geolytix.github.io/MapIcons/brands/mns_food_24px.svg',
|
||||
'M&S Hospital': 'https://geolytix.github.io/MapIcons/brands/mns_hospital_24px.svg',
|
||||
'M&S MSA': 'https://geolytix.github.io/MapIcons/brands/mns_moto_24px.svg',
|
||||
'M&S Outlet': 'https://geolytix.github.io/MapIcons/brands/mns_outlet_24px.svg',
|
||||
Morrisons: 'https://geolytix.github.io/MapIcons/brands/morrisons_24px.svg',
|
||||
'Morrisons Daily': 'https://geolytix.github.io/MapIcons/brands/morrisons_daily_24px.svg',
|
||||
'Heron Foods': '/assets/poi-icons/brands_2023/supermarkets/heron_foods.svg',
|
||||
Iceland: '/assets/poi-icons/logos/iceland.svg',
|
||||
Lidl: '/assets/poi-icons/logos/lidl.svg',
|
||||
Makro: '/assets/poi-icons/brands_2024/makro.svg',
|
||||
'M&S': '/assets/poi-icons/brands/mns.svg',
|
||||
'M&S Clothing': '/assets/poi-icons/brands/mns_high_street.svg',
|
||||
'M&S Food': '/assets/poi-icons/brands/mns_food.svg',
|
||||
'M&S Hospital': '/assets/poi-icons/brands/mns_hospital.svg',
|
||||
'M&S MSA': '/assets/poi-icons/brands/mns_moto.svg',
|
||||
'M&S Outlet': '/assets/poi-icons/brands/mns_outlet.svg',
|
||||
Morrisons: '/assets/poi-icons/logos/morrisons.svg',
|
||||
'Morrisons Daily': '/assets/poi-icons/brands_2024/morrisons_daily.svg',
|
||||
'Off-Licence': '/assets/twemoji/1f377.png',
|
||||
'Planet Organic': 'https://geolytix.github.io/MapIcons/logos/planet_organic_24px.svg',
|
||||
'Planet Organic': '/assets/poi-icons/logos/planet_organic.svg',
|
||||
'Rail station': '/assets/twemoji/1f686.png',
|
||||
"Sainsbury's": 'https://geolytix.github.io/MapIcons/brands/sainsburys_24px.svg',
|
||||
"Sainsbury's Local": 'https://geolytix.github.io/MapIcons/brands/sainsburys_local_24px.svg',
|
||||
Spar: 'https://geolytix.github.io/MapIcons/brands/spar_24px.svg',
|
||||
"Sainsbury's": '/assets/poi-icons/logos/sainsburys.svg',
|
||||
"Sainsbury's Local": '/assets/poi-icons/brands_2024/sainsburys_local.svg',
|
||||
Spar: '/assets/poi-icons/logos/spar.svg',
|
||||
Supermarket: '/assets/twemoji/1f6d2.png',
|
||||
Tesco: 'https://geolytix.github.io/MapIcons/brands/tesco_24px.svg',
|
||||
'Tesco Express': 'https://geolytix.github.io/MapIcons/brands/tesco_express_24px.svg',
|
||||
'Tesco Extra': 'https://geolytix.github.io/MapIcons/brands/tesco_extra_24px.svg',
|
||||
Tesco: '/assets/poi-icons/logos/tesco.svg',
|
||||
'Tesco Express': '/assets/poi-icons/logos/tesco_express.svg',
|
||||
'Tesco Extra': '/assets/poi-icons/logos/tesco_extra.svg',
|
||||
'Taxi rank': '/assets/twemoji/1f695.png',
|
||||
'The Food Warehouse': 'https://geolytix.github.io/MapIcons/brands/iceland_food_warehouse_24px.svg',
|
||||
'Tube station': 'https://geolytix.github.io/MapIcons/public_transport/london_tube.svg',
|
||||
Waitrose: 'https://geolytix.github.io/MapIcons/brands/waitrose_24px.svg',
|
||||
'Little Waitrose': 'https://geolytix.github.io/MapIcons/brands/little_waitrose_24px.svg',
|
||||
'Whole Foods Market': 'https://geolytix.github.io/MapIcons/brands/wholefoods_24px.svg',
|
||||
'The Food Warehouse': '/assets/poi-icons/logos/iceland.svg',
|
||||
'Tube station': '/assets/poi-icons/public_transport/london_tube.svg',
|
||||
Waitrose: '/assets/poi-icons/logos/waitrose.svg',
|
||||
'Little Waitrose': '/assets/poi-icons/brands/little_waitrose.svg',
|
||||
'Whole Foods Market': '/assets/poi-icons/brands_2024/wholefoods.svg',
|
||||
};
|
||||
|
||||
/** Categories only shown when zoomed in past MINOR_POI_ZOOM_THRESHOLD */
|
||||
|
|
|
|||
|
|
@ -62,8 +62,7 @@ function pointInPolygon(point: Point, polygon: Point[]): boolean {
|
|||
|
||||
if (current[1] > point[1] !== previous[1] > point[1]) {
|
||||
const x =
|
||||
((previous[0] - current[0]) * (point[1] - current[1])) /
|
||||
(previous[1] - current[1]) +
|
||||
((previous[0] - current[0]) * (point[1] - current[1])) / (previous[1] - current[1]) +
|
||||
current[0];
|
||||
if (point[0] < x) inside = !inside;
|
||||
}
|
||||
|
|
@ -92,9 +91,7 @@ export function hasMatchingHexagonAtResolution(
|
|||
hexagons: HexagonData[],
|
||||
resolution: number
|
||||
): boolean {
|
||||
return hexagons.some(
|
||||
(hexagon) => hexagon.count > 0 && getResolution(hexagon.h3) === resolution
|
||||
);
|
||||
return hexagons.some((hexagon) => hexagon.count > 0 && getResolution(hexagon.h3) === resolution);
|
||||
}
|
||||
|
||||
export function findOverlappingMatchingHexagon(
|
||||
|
|
|
|||
|
|
@ -1,9 +1,12 @@
|
|||
import { describe, expect, it } from 'vitest';
|
||||
import { existsSync } from 'fs';
|
||||
import { join } from 'path';
|
||||
|
||||
import {
|
||||
DENSITY_GRADIENT,
|
||||
ENUM_PALETTE,
|
||||
FEATURE_GRADIENT,
|
||||
POI_CATEGORY_LOGOS,
|
||||
SMALLEST_VISIBLE_HEXAGON_RESOLUTION,
|
||||
} from './consts';
|
||||
import {
|
||||
|
|
@ -52,12 +55,25 @@ describe('map utilities', () => {
|
|||
});
|
||||
|
||||
it('prefers POI category logos before falling back to emoji icons', () => {
|
||||
expect(getPoiIconUrl('Waitrose', '🛒')).toBe(
|
||||
'https://geolytix.github.io/MapIcons/brands/waitrose_24px.svg'
|
||||
expect(getPoiIconUrl('Waitrose', '🛒')).toBe('/assets/poi-icons/brands/waitrose_24px.svg');
|
||||
expect(getPoiIconUrl('Iceland', '🛒', 'The Food Warehouse')).toBe(
|
||||
'/assets/poi-icons/brands/iceland_food_warehouse_24px.svg'
|
||||
);
|
||||
expect(getPoiIconUrl("Sainsbury's", '🛒', undefined, 'Sainsburys Earlsfield Local')).toBe(
|
||||
'/assets/poi-icons/brands/sainsburys_local_24px.svg'
|
||||
);
|
||||
expect(getPoiIconUrl('Unknown category', '🛒')).toBe('/assets/twemoji/1f6d2.png');
|
||||
});
|
||||
|
||||
it('keeps POI icon URLs bundled locally', () => {
|
||||
expect(Object.values(POI_CATEGORY_LOGOS).filter((url) => /^https?:\/\//.test(url))).toEqual([]);
|
||||
expect(
|
||||
Object.values(POI_CATEGORY_LOGOS)
|
||||
.filter((url) => url.startsWith('/assets/poi-icons/'))
|
||||
.filter((url) => !existsSync(join(process.cwd(), 'public', url.slice(1))))
|
||||
).toEqual([]);
|
||||
});
|
||||
|
||||
it('returns fallback, filtered, enum, feature, and density colors', () => {
|
||||
expect(
|
||||
getFeatureFillColor(
|
||||
|
|
|
|||
|
|
@ -241,7 +241,60 @@ export function emojiToTwemojiUrl(emoji: string): string {
|
|||
return `${TWEMOJI_BASE}${hex}.png`;
|
||||
}
|
||||
|
||||
export function getPoiIconUrl(category: string, emoji: string): string {
|
||||
function inferPoiIconCategory(category: string, name?: string): string | undefined {
|
||||
if (!name) return undefined;
|
||||
const text = `${category} ${name}`.toLowerCase();
|
||||
|
||||
switch (category) {
|
||||
case 'Asda':
|
||||
if (text.includes('asda express') || text.includes(' express')) return 'Asda Express';
|
||||
if (text.includes('asda living')) return 'Asda Living';
|
||||
if (text.includes('asda pfs') || /\bpfs\b/.test(text)) return 'Asda PFS';
|
||||
return undefined;
|
||||
case 'Iceland':
|
||||
return text.includes('food warehouse') ? 'The Food Warehouse' : undefined;
|
||||
case 'M&S':
|
||||
if (text.includes('hospital')) return 'M&S Hospital';
|
||||
if (text.includes('moto')) return 'M&S MSA';
|
||||
if (text.includes('outlet')) return 'M&S Outlet';
|
||||
if (
|
||||
text.includes('foodhall') ||
|
||||
text.includes('simply food') ||
|
||||
text.includes('food to go') ||
|
||||
text.includes(' bp') ||
|
||||
/\bsf\b/.test(text)
|
||||
) {
|
||||
return 'M&S Food';
|
||||
}
|
||||
if (text.includes('clothing')) return 'M&S Clothing';
|
||||
return undefined;
|
||||
case 'Morrisons':
|
||||
return text.includes('morrisons daily') || text.includes('morrisons dailly')
|
||||
? 'Morrisons Daily'
|
||||
: undefined;
|
||||
case "Sainsbury's":
|
||||
return text.includes('local') ? "Sainsbury's Local" : undefined;
|
||||
case 'Tesco':
|
||||
if (text.includes('tesco extra')) return 'Tesco Extra';
|
||||
if (text.includes('tesco express') || text.includes(' express')) return 'Tesco Express';
|
||||
return undefined;
|
||||
case 'Waitrose':
|
||||
return text.includes('little waitrose') ? 'Little Waitrose' : undefined;
|
||||
default:
|
||||
return undefined;
|
||||
}
|
||||
}
|
||||
|
||||
export function getPoiIconUrl(
|
||||
category: string,
|
||||
emoji: string,
|
||||
iconCategory?: string,
|
||||
name?: string
|
||||
): string {
|
||||
const resolvedIconCategory = iconCategory || inferPoiIconCategory(category, name);
|
||||
if (resolvedIconCategory && POI_CATEGORY_LOGOS[resolvedIconCategory]) {
|
||||
return POI_CATEGORY_LOGOS[resolvedIconCategory];
|
||||
}
|
||||
return POI_CATEGORY_LOGOS[category] ?? emojiToTwemojiUrl(emoji);
|
||||
}
|
||||
|
||||
|
|
|
|||
|
|
@ -8,7 +8,6 @@ import {
|
|||
import {
|
||||
SCHOOL_FILTER_NAME,
|
||||
createSchoolFilterKey,
|
||||
getSchoolBackendFeatureName,
|
||||
getSchoolFilterConfig,
|
||||
isSchoolFilterName,
|
||||
type SchoolDistance,
|
||||
|
|
|
|||
|
|
@ -81,11 +81,7 @@ def find_bad_files(
|
|||
bad: list[BadFile] = []
|
||||
stats: dict[str, dict] = {}
|
||||
|
||||
modes = sorted(
|
||||
d
|
||||
for d in os.listdir(base_dir)
|
||||
if (base_dir / d).is_dir()
|
||||
)
|
||||
modes = sorted(d for d in os.listdir(base_dir) if (base_dir / d).is_dir())
|
||||
|
||||
for mode in modes:
|
||||
mode_dir = base_dir / mode
|
||||
|
|
@ -149,7 +145,9 @@ def find_duplicates(base_dir: Path) -> tuple[list[BadFile], dict[str, dict]]:
|
|||
# Keep the file with the most rows
|
||||
files.sort(key=lambda x: x[1], reverse=True)
|
||||
for filename, rows in files[1:]:
|
||||
dupes.append(BadFile(mode=mode, filename=filename, slug=slug, rows=rows))
|
||||
dupes.append(
|
||||
BadFile(mode=mode, filename=filename, slug=slug, rows=rows)
|
||||
)
|
||||
mode_dupes += 1
|
||||
|
||||
duped_slugs = sum(1 for fs in slug_files.values() if len(fs) > 1)
|
||||
|
|
@ -197,7 +195,9 @@ def main() -> None:
|
|||
bad_files, stats = find_bad_files(args.travel_times, args.threshold_pct)
|
||||
|
||||
print("=== Per-mode summary ===\n")
|
||||
print(f"{'Mode':<10} {'Total':>6} {'Bad':>5} {'Threshold':>10} {'Median':>8} {'Range':>20}")
|
||||
print(
|
||||
f"{'Mode':<10} {'Total':>6} {'Bad':>5} {'Threshold':>10} {'Median':>8} {'Range':>20}"
|
||||
)
|
||||
print("-" * 65)
|
||||
for mode, s in sorted(stats.items()):
|
||||
rng = f"{s['min']:,}–{s['max']:,}"
|
||||
|
|
@ -231,7 +231,9 @@ def main() -> None:
|
|||
total_removable = sum(s["removable"] for s in dupe_stats.values())
|
||||
if total_removable > 0:
|
||||
print(f"\n=== Duplicates ({total_removable} removable files) ===\n")
|
||||
print(f"{'Mode':<10} {'Total':>6} {'Unique':>7} {'Duped slugs':>12} {'Removable':>10}")
|
||||
print(
|
||||
f"{'Mode':<10} {'Total':>6} {'Unique':>7} {'Duped slugs':>12} {'Removable':>10}"
|
||||
)
|
||||
print("-" * 50)
|
||||
for mode, s in sorted(dupe_stats.items()):
|
||||
if s["removable"] > 0:
|
||||
|
|
@ -242,9 +244,15 @@ def main() -> None:
|
|||
|
||||
if args.dedup:
|
||||
# Exclude files already deleted by --delete
|
||||
deleted_set = {(bf.mode, bf.filename) for bf in bad_files} if args.delete else set()
|
||||
to_delete = [df for df in dupe_files if (df.mode, df.filename) not in deleted_set]
|
||||
print(f"\nRemoving {len(to_delete)} duplicate files (keeping largest per slug)...")
|
||||
deleted_set = (
|
||||
{(bf.mode, bf.filename) for bf in bad_files} if args.delete else set()
|
||||
)
|
||||
to_delete = [
|
||||
df for df in dupe_files if (df.mode, df.filename) not in deleted_set
|
||||
]
|
||||
print(
|
||||
f"\nRemoving {len(to_delete)} duplicate files (keeping largest per slug)..."
|
||||
)
|
||||
deleted = _delete_files(args.travel_times, to_delete)
|
||||
print(f"Deleted {deleted}/{len(to_delete)} files.")
|
||||
else:
|
||||
|
|
|
|||
|
|
@ -42,9 +42,7 @@ def select_latest_csv_name(names: list[str]) -> str:
|
|||
match = CSV_NAME_RE.match(path.name)
|
||||
if not match:
|
||||
continue
|
||||
candidates.append(
|
||||
(match.group("release"), int(match.group("version")), name)
|
||||
)
|
||||
candidates.append((match.group("release"), int(match.group("version")), name))
|
||||
|
||||
if not candidates:
|
||||
raise ValueError("No root-level GEOLYTIX retail points CSV found")
|
||||
|
|
|
|||
|
|
@ -9,6 +9,7 @@ from pipeline.transform.transform_poi import NAPTAN_EMOJIS, _CATEGORIES
|
|||
GLYPHS_BASE = "https://protomaps.github.io/basemaps-assets/fonts"
|
||||
SPRITES_BASE = "https://protomaps.github.io/basemaps-assets/sprites/v4"
|
||||
TWEMOJI_BASE = "https://cdn.jsdelivr.net/gh/twitter/twemoji@14.0.2/assets/72x72"
|
||||
POI_ICON_BASE = "https://geolytix.github.io/MapIcons"
|
||||
|
||||
# Font stacks used by @protomaps/basemaps with lang='en'
|
||||
FONT_STACKS = ["Noto Sans Regular", "Noto Sans Italic", "Noto Sans Medium"]
|
||||
|
|
@ -16,6 +17,50 @@ FONT_STACKS = ["Noto Sans Regular", "Noto Sans Italic", "Noto Sans Medium"]
|
|||
# Fallback emoji not in any category
|
||||
_FALLBACK_EMOJIS = ["📍"]
|
||||
|
||||
POI_ICON_PATHS = [
|
||||
"asda/asda_express_24px.svg",
|
||||
"asda/asda_green_basket_24px.svg",
|
||||
"asda/asda_green_trolley_24px.svg",
|
||||
"asda/asda_living_24px.svg",
|
||||
"asda/asda_pfs_24px.svg",
|
||||
"asda/asda_primary.svg",
|
||||
"asda/asda_superstore_green_trolley_24px.svg",
|
||||
"brands/aldi_24px.svg",
|
||||
"brands/amazon_fresh_alt_24px.svg",
|
||||
"brands/booths_24px.svg",
|
||||
"brands/budgens_24px.svg",
|
||||
"brands/centra_24px.svg",
|
||||
"brands/cook.svg",
|
||||
"brands/coop_24px.svg",
|
||||
"brands/costco_24px.svg",
|
||||
"brands/dunnes_stores_24px.svg",
|
||||
"brands/farmfoods_updated_24px.svg",
|
||||
"brands/heron_24px.svg",
|
||||
"brands/iceland_24px.svg",
|
||||
"brands/iceland_food_warehouse_24px.svg",
|
||||
"brands/lidl_24px.svg",
|
||||
"brands/little_waitrose_24px.svg",
|
||||
"brands/makro_24px.svg",
|
||||
"brands/mns_24px.svg",
|
||||
"brands/mns_food_24px.svg",
|
||||
"brands/mns_high_street_24px.svg",
|
||||
"brands/mns_hospital_24px.svg",
|
||||
"brands/mns_moto_24px.svg",
|
||||
"brands/mns_outlet_24px.svg",
|
||||
"brands/morrisons_24px.svg",
|
||||
"brands/morrisons_daily_24px.svg",
|
||||
"brands/sainsburys_24px.svg",
|
||||
"brands/sainsburys_local_24px.svg",
|
||||
"brands/spar_24px.svg",
|
||||
"brands/tesco_24px.svg",
|
||||
"brands/tesco_express_24px.svg",
|
||||
"brands/tesco_extra_24px.svg",
|
||||
"brands/waitrose_24px.svg",
|
||||
"brands/wholefoods_24px.svg",
|
||||
"logos/planet_organic_24px.svg",
|
||||
"public_transport/london_tube.svg",
|
||||
]
|
||||
|
||||
|
||||
def collect_twemoji_codes() -> list[str]:
|
||||
"""Derive twemoji hex codes from transform_poi categories.
|
||||
|
|
@ -93,6 +138,12 @@ def main():
|
|||
url = f"{TWEMOJI_BASE}/{code}.png"
|
||||
tasks.append((url, twemoji_dir / f"{code}.png"))
|
||||
|
||||
# Branded POI icons are served from this local bundle at runtime.
|
||||
poi_icons_dir = out / "poi-icons"
|
||||
for icon_path in POI_ICON_PATHS:
|
||||
url = f"{POI_ICON_BASE}/{icon_path}"
|
||||
tasks.append((url, poi_icons_dir / icon_path))
|
||||
|
||||
# Skip already-downloaded files
|
||||
remaining = [(url, dest) for url, dest in tasks]
|
||||
|
||||
|
|
|
|||
|
|
@ -110,14 +110,18 @@ def download_and_convert(output_path: Path) -> None:
|
|||
for row in rows:
|
||||
counts = [row[col] for col in band_cols]
|
||||
median = compute_median_age(counts)
|
||||
medians.append({"lsoa21": row["GEOGRAPHY_CODE"], "median_age": round(median, 1)})
|
||||
medians.append(
|
||||
{"lsoa21": row["GEOGRAPHY_CODE"], "median_age": round(median, 1)}
|
||||
)
|
||||
|
||||
result = pl.DataFrame(medians).with_columns(
|
||||
pl.col("median_age").cast(pl.Float32),
|
||||
)
|
||||
|
||||
print(f"England LSOAs: {result.height}")
|
||||
print(f"Median age range: {result['median_age'].min()} - {result['median_age'].max()}")
|
||||
print(
|
||||
f"Median age range: {result['median_age'].min()} - {result['median_age'].max()}"
|
||||
)
|
||||
print(f"Mean of medians: {result['median_age'].mean():.1f}")
|
||||
|
||||
output_path.parent.mkdir(parents=True, exist_ok=True)
|
||||
|
|
|
|||
|
|
@ -43,9 +43,7 @@ def convert_to_parquet(xlsx_path: Path, parquet_path: Path) -> None:
|
|||
|
||||
# Filter to English local authorities
|
||||
df = df.filter(
|
||||
pl.any_horizontal(
|
||||
pl.col("area_code").str.starts_with(p) for p in LA_PREFIXES
|
||||
)
|
||||
pl.any_horizontal(pl.col("area_code").str.starts_with(p) for p in LA_PREFIXES)
|
||||
)
|
||||
|
||||
# Use only the latest month
|
||||
|
|
|
|||
|
|
@ -23,7 +23,9 @@ def find_latest_build() -> str:
|
|||
for i in range(MAX_AGE_DAYS):
|
||||
d = today - timedelta(days=i)
|
||||
url = f"{PROTOMAPS_BASE}/{d:%Y%m%d}.pmtiles"
|
||||
req = urllib.request.Request(url, method="HEAD", headers={"User-Agent": USER_AGENT})
|
||||
req = urllib.request.Request(
|
||||
url, method="HEAD", headers={"User-Agent": USER_AGENT}
|
||||
)
|
||||
try:
|
||||
urllib.request.urlopen(req)
|
||||
print(f"Found build: {d:%Y%m%d}")
|
||||
|
|
|
|||
|
|
@ -128,9 +128,7 @@ def main():
|
|||
|
||||
# Social tenure fork: flag properties that were ever social housing
|
||||
social_tenure = (
|
||||
epc_base.filter(
|
||||
pl.col("TENURE").str.to_lowercase().str.contains("social")
|
||||
)
|
||||
epc_base.filter(pl.col("TENURE").str.to_lowercase().str.contains("social"))
|
||||
.select("epc_address", "POSTCODE")
|
||||
.unique()
|
||||
.with_columns(pl.lit("Yes").alias("was_council_house"))
|
||||
|
|
@ -139,17 +137,21 @@ def main():
|
|||
print(f"Former council houses (EPC social tenure): {social_tenure.height}")
|
||||
|
||||
# Left-join events and social tenure back onto dedup EPC
|
||||
epc = epc.join(
|
||||
epc = (
|
||||
epc.join(
|
||||
events.lazy(),
|
||||
on=["epc_address", "POSTCODE"],
|
||||
how="left",
|
||||
).join(
|
||||
)
|
||||
.join(
|
||||
social_tenure.lazy(),
|
||||
on=["epc_address", "POSTCODE"],
|
||||
how="left",
|
||||
).with_columns(
|
||||
)
|
||||
.with_columns(
|
||||
pl.col("was_council_house").fill_null("No"),
|
||||
)
|
||||
)
|
||||
|
||||
print("EPC dataset")
|
||||
print(epc.head().collect())
|
||||
|
|
|
|||
|
|
@ -1092,6 +1092,7 @@ GROCERY_FASCIA_ICON_NAMES: dict[str, str] = {
|
|||
"Asda Living": "Asda Living",
|
||||
"Asda PFS": "Asda PFS",
|
||||
"Cooltrader": "Heron Foods",
|
||||
"Co-op Food": "Co-op",
|
||||
"Cook": "COOK",
|
||||
"Eurospar": "Spar",
|
||||
"Eurospar PFS": "Spar",
|
||||
|
|
@ -1144,9 +1145,7 @@ def transform_grocery_retail_points(
|
|||
required = {"id", "retailer", "fascia", "store_name", "long_wgs", "lat_wgs"}
|
||||
missing = required - set(grocery_df.columns)
|
||||
if missing:
|
||||
raise ValueError(
|
||||
f"GEOLYTIX retail points missing columns: {sorted(missing)}"
|
||||
)
|
||||
raise ValueError(f"GEOLYTIX retail points missing columns: {sorted(missing)}")
|
||||
|
||||
df = (
|
||||
grocery_df.select(
|
||||
|
|
|
|||
|
|
@ -383,6 +383,7 @@ fn token_matches_numeric_term(token: &str, query_term: &str) -> bool {
|
|||
token == query_term || token.starts_with(query_term)
|
||||
}
|
||||
|
||||
#[cfg(test)]
|
||||
fn address_tokens_match_group(tokens: &[String], group: &AddressTermGroup) -> bool {
|
||||
group.alternatives.iter().any(|alternative| {
|
||||
tokens
|
||||
|
|
@ -654,7 +655,7 @@ impl PropertyData {
|
|||
|
||||
for term in terms {
|
||||
if let Some(rows) = self.address_token_index.get(term) {
|
||||
if best.map_or(true, |current| rows.len() < current.len()) {
|
||||
if best.is_none_or(|current| rows.len() < current.len()) {
|
||||
best = Some(rows.as_slice());
|
||||
}
|
||||
continue;
|
||||
|
|
@ -670,7 +671,7 @@ impl PropertyData {
|
|||
continue;
|
||||
}
|
||||
if let Some(rows) = self.address_token_index.get(token) {
|
||||
if best.map_or(true, |current| rows.len() < current.len()) {
|
||||
if best.is_none_or(|current| rows.len() < current.len()) {
|
||||
best = Some(rows.as_slice());
|
||||
}
|
||||
}
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue