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feat: optimize routes around accommodation, confirm note deletions (#1123)
Optimize day routes around the accommodation
When a day has an accommodation set, the route optimizer now treats it as
the day's home base: it optimizes a loop that leaves the hotel and returns
to it, so the stop nearest the hotel comes first. On a transfer day -
checking out of one hotel and into another - the route runs from the first
hotel to the second instead.
The optimizer also gained a 2-opt pass on top of the nearest-neighbor
ordering, which removes the crossings the greedy pass used to leave behind.
A new display setting ("optimize route from accommodation", on by default)
lets you turn the anchoring off.
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@@ -161,6 +161,62 @@ describe('optimizeRoute', () => {
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expect(result[1]).toEqual(c)
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expect(result[2]).toEqual(b)
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})
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it('FE-COMP-ROUTECALCULATOR-016: start anchor begins the chain at the anchor-nearest stop', () => {
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const a = { lat: 10, lng: 1 }
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const b = { lat: 2, lng: 1 }
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const c = { lat: 5, lng: 1 }
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// From the accommodation anchor (1,1): nearest is b(2,1), then c(5,1), then a(10,1)
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const result = optimizeRoute([a, b, c], { start: { lat: 1, lng: 1 } })
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expect(result).toEqual([b, c, a])
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})
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it('FE-COMP-ROUTECALCULATOR-017: start + end anchors reorder a shuffled day and keep the end-nearest stop last', () => {
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const a = { lat: 2, lng: 1 }
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const b = { lat: 5, lng: 1 }
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const c = { lat: 8, lng: 1 }
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// Transfer day: start at hotel A (1,1), end at hotel B (9,1). c is nearest B, so it must be last.
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const result = optimizeRoute([c, a, b], { start: { lat: 1, lng: 1 }, end: { lat: 9, lng: 1 } })
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expect(result).toEqual([a, b, c])
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})
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it('FE-COMP-ROUTECALCULATOR-018: an anchor makes even a two-stop day sortable', () => {
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const a = { lat: 10, lng: 1 }
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const b = { lat: 2, lng: 1 }
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// Without anchors two stops are returned unchanged; the start anchor orders them by proximity.
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const result = optimizeRoute([a, b], { start: { lat: 1, lng: 1 } })
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expect(result).toEqual([b, a])
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})
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it('FE-COMP-ROUTECALCULATOR-019: 2-opt untangles a round-trip into a clean loop around the hotel', () => {
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const hotel = { lat: 48.8668, lng: 2.3013 } // Rue Marbeuf
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const stops = [
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{ id: 1, lat: 48.8565, lng: 2.3324 },
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{ id: 2, lat: 48.8813, lng: 2.3151 },
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{ id: 3, lat: 48.8796, lng: 2.308 },
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{ id: 4, lat: 48.8723, lng: 2.2926 },
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{ id: 5, lat: 48.866, lng: 2.3102 }, // nearest the hotel
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]
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const d = (a: { lat: number; lng: number }, b: { lat: number; lng: number }) =>
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Math.hypot(a.lat - b.lat, a.lng - b.lng)
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const loop = (order: typeof stops) =>
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d(hotel, order[0]) + order.slice(1).reduce((s, p, i) => s + d(order[i], p), 0) + d(order[order.length - 1], hotel)
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const result = optimizeRoute(stops, { start: hotel, end: hotel })
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// The optimized loop is no longer than the original order…
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expect(loop(result)).toBeLessThanOrEqual(loop(stops) + 1e-9)
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// …and the hotel-adjacent stop sits at one end of the loop, right next to the hotel.
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expect([result[0].id, result[result.length - 1].id]).toContain(5)
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})
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it('FE-COMP-ROUTECALCULATOR-020: an end anchor without a start finishes at the stop nearest it', () => {
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const a = { lat: 2, lng: 1 }
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const b = { lat: 5, lng: 1 }
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const c = { lat: 9, lng: 1 }
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// a is nearest the end anchor, so the route must finish at a rather than start there.
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const result = optimizeRoute([a, b, c], { end: { lat: 1, lng: 1 } })
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expect(result[result.length - 1]).toEqual(a)
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})
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})
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// ── generateGoogleMapsUrl ──────────────────────────────────────────────────────
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@@ -1,4 +1,4 @@
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import type { RouteResult, RouteSegment, RouteWithLegs, Waypoint } from '../../types'
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import type { RouteResult, RouteSegment, RouteWithLegs, Waypoint, RouteAnchors } from '../../types'
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const OSRM_BASE = 'https://router.project-osrm.org/route/v1'
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@@ -77,35 +77,98 @@ export function generateGoogleMapsUrl(places: Waypoint[]): string | null {
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return `https://www.google.com/maps/dir/${stops}`
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}
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/** Reorders waypoints using a nearest-neighbor heuristic to minimize total Euclidean distance. */
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export function optimizeRoute<T extends Waypoint>(places: T[]): T[] {
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const valid = places.filter((p) => p.lat && p.lng)
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if (valid.length <= 2) return places
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// Squared planar distance — enough for nearest-neighbor comparisons and cheaper than a full haversine.
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function sqDist(a: Waypoint, b: Waypoint): number {
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return (a.lat - b.lat) ** 2 + (a.lng - b.lng) ** 2
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}
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// Length of visiting `order` in sequence, optionally pinned to a fixed start and/or end anchor.
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// With start === end this is a closed loop back to the anchor (a day out from and back to the hotel).
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function tourLength(order: Waypoint[], start?: Waypoint, end?: Waypoint): number {
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if (order.length === 0) return 0
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let total = 0
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if (start) total += Math.sqrt(sqDist(start, order[0]))
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for (let i = 0; i < order.length - 1; i++) total += Math.sqrt(sqDist(order[i], order[i + 1]))
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if (end) total += Math.sqrt(sqDist(order[order.length - 1], end))
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return total
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}
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// Greedy nearest-neighbor ordering, seeded at the start anchor when there is one.
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function nearestNeighborOrder<T extends Waypoint>(valid: T[], start?: Waypoint): T[] {
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const visited = new Set<number>()
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const result: T[] = []
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let current = valid[0]
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visited.add(0)
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result.push(current)
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let current: Waypoint
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if (start) {
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current = start
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} else {
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current = valid[0]
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visited.add(0)
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result.push(valid[0])
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}
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while (result.length < valid.length) {
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let nearestIdx = -1
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let minDist = Infinity
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for (let i = 0; i < valid.length; i++) {
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if (visited.has(i)) continue
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const d = Math.sqrt(
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Math.pow(valid[i].lat - current.lat, 2) + Math.pow(valid[i].lng - current.lng, 2)
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)
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const d = sqDist(valid[i], current)
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if (d < minDist) { minDist = d; nearestIdx = i }
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}
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if (nearestIdx === -1) break
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visited.add(nearestIdx)
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current = valid[nearestIdx]
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result.push(current)
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result.push(valid[nearestIdx])
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}
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return result
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}
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// 2-opt: repeatedly reverse a sub-segment whenever it shortens the tour. This removes the crossings
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// a pure nearest-neighbor pass leaves behind. The start/end anchors stay fixed, so a round trip
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// (start === end) is untangled into a clean loop rather than an open path.
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function twoOptImprove<T extends Waypoint>(order: T[], start?: Waypoint, end?: Waypoint): T[] {
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if (order.length < 3) return order
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let best = order
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let bestLen = tourLength(best, start, end)
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let improved = true
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while (improved) {
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improved = false
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for (let i = 0; i < best.length - 1; i++) {
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for (let j = i + 1; j < best.length; j++) {
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const candidate = best.slice(0, i).concat(best.slice(i, j + 1).reverse(), best.slice(j + 1))
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const len = tourLength(candidate, start, end)
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if (len < bestLen - 1e-12) {
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best = candidate
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bestLen = len
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improved = true
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}
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}
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}
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}
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return best
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}
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/**
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* Reorders waypoints to minimize travel distance: a nearest-neighbor pass for a good starting order,
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* then 2-opt to untangle crossings. Optional anchors (e.g. the day's accommodation) pin the route's
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* ends — start === end makes it a loop out from and back to the hotel; a transfer day runs start → end.
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*/
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export function optimizeRoute<T extends Waypoint>(places: T[], anchors: RouteAnchors = {}): T[] {
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const { start, end } = anchors
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const valid = places.filter((p) => p.lat && p.lng)
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if (valid.length <= 1) return places
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// Two unanchored stops have no meaningful order to optimize; anchors can still flip them.
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if (valid.length === 2 && !start && !end) return places
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const order = twoOptImprove(nearestNeighborOrder(valid, start), start, end)
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// A round trip's loop direction is arbitrary, so orient it to begin at the stop nearest the hotel —
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// that reads naturally as "leave the hotel, head to the closest place, …, come back".
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if (start && end && start.lat === end.lat && start.lng === end.lng && order.length > 1) {
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if (sqDist(order[order.length - 1], start) < sqDist(order[0], start)) order.reverse()
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}
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return order
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}
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/** Fetches per-leg distance/duration from OSRM and returns segment metadata (midpoints, walking/driving times). */
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export async function calculateSegments(
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waypoints: Waypoint[],
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