feat(GRO-2155): route CRUD + optimization endpoint (Phase 2.1) (#175)
CI / Test (push) Successful in 25s
CI / Lint & Typecheck (push) Successful in 28s
CI / Test (pull_request) Successful in 24s
CI / Build & Push Docker Images (push) Successful in 35s
CI / Lint & Typecheck (pull_request) Successful in 26s
CI / Build & Push Docker Images (pull_request) Successful in 25s

This commit was merged in pull request #175.
This commit is contained in:
2026-06-08 13:57:07 +00:00
parent b9fc688769
commit d0c0b1b646
5 changed files with 905 additions and 0 deletions
+413
View File
@@ -0,0 +1,413 @@
import { businessSettings, decryptSecret, type Db } from "@groombook/db";
import type { FetchLike } from "./geocoding.js";
/**
* Route optimization service (GRO-2155, Phase 2.1 of Route Optimization).
*
* Given a groomer's geocoded stops for a day, produces an optimized visiting
* order plus per-leg and total travel estimates. Two strategies:
*
* - {@link optimizeWithGoogle}: Google Maps Directions API with
* `optimizeWaypoints: true` (real road durations/distances), used when a
* Google Maps API key is configured.
* - {@link nearestNeighborOrder}: an offline nearest-neighbor TSP heuristic over
* great-circle distance, used as the default free / no-API-key fallback.
*
* Both strategies share the same public {@link optimizeRoute} orchestrator,
* which also handles the >25-stop edge case by chunking into sub-routes (the
* Google Directions waypoint cap) and surfacing a warning.
*/
/** Google Directions allows origin + destination + up to 23 waypoints = 25
* points per request. We cap a sub-route at 25 stops and chunk beyond that. */
export const MAX_STOPS_PER_ROUTE = 25;
/** Average driving speed (km/h) used to convert distance into travel minutes in
* the offline heuristic. Tuned for mixed urban/suburban mobile-groomer routes. */
export const AVG_SPEED_KMH = 40;
/** Multiplier applied to great-circle distance to approximate real road
* distance in the offline heuristic (straight-line underestimates driving). */
export const ROAD_CIRCUITY_FACTOR = 1.3;
const EARTH_RADIUS_KM = 6371;
/** A geocoded stop to be ordered. `appointmentId` ties it back to the schedule. */
export interface RouteStopInput {
appointmentId: string;
latitude: number;
longitude: number;
}
/** A single stop in the optimized order, with travel from the previous stop. */
export interface OptimizedStop {
appointmentId: string;
latitude: number;
longitude: number;
/** Null for the first stop of the whole route. */
travelMinsFromPrev: number | null;
/** Null for the first stop of the whole route. Kilometres, 2-dp. */
travelDistanceKmFromPrev: number | null;
}
export type RouteOptimizationProvider = "google" | "nearest_neighbor";
export interface OptimizedRoute {
provider: RouteOptimizationProvider;
stops: OptimizedStop[];
totalTravelMins: number;
/** Kilometres, rounded to 2 decimal places. */
totalDistanceKm: number;
/** True when the route was split into multiple sub-routes (>25 stops). */
chunked: boolean;
subRouteCount: number;
/** Non-fatal advisories for the caller to surface to the user. */
warnings: string[];
}
export interface OptimizeRouteOptions {
/** Google Maps API key. When absent, the nearest-neighbor heuristic is used. */
googleApiKey?: string | null;
/** Injectable fetch for testing the Google path. Defaults to global fetch. */
fetchImpl?: FetchLike;
}
const defaultFetch: FetchLike = (input, init) =>
(globalThis.fetch as unknown as FetchLike)(input, init);
// ─── Geometry helpers ───────────────────────────────────────────────────────
function toRadians(deg: number): number {
return (deg * Math.PI) / 180;
}
/** Great-circle distance between two coordinates, in kilometres. */
export function haversineKm(
a: { latitude: number; longitude: number },
b: { latitude: number; longitude: number }
): number {
const dLat = toRadians(b.latitude - a.latitude);
const dLon = toRadians(b.longitude - a.longitude);
const lat1 = toRadians(a.latitude);
const lat2 = toRadians(b.latitude);
const h =
Math.sin(dLat / 2) ** 2 +
Math.cos(lat1) * Math.cos(lat2) * Math.sin(dLon / 2) ** 2;
return 2 * EARTH_RADIUS_KM * Math.asin(Math.min(1, Math.sqrt(h)));
}
/** Round to 2 decimal places, returning a finite number. */
function round2(n: number): number {
return Math.round(n * 100) / 100;
}
/**
* Estimate a road travel leg from the great-circle distance between two points.
* Applies a circuity factor for distance and a fixed average speed for time.
*/
export function estimateLeg(
a: { latitude: number; longitude: number },
b: { latitude: number; longitude: number }
): { distanceKm: number; mins: number } {
const straight = haversineKm(a, b);
const distanceKm = straight * ROAD_CIRCUITY_FACTOR;
const mins = (distanceKm / AVG_SPEED_KMH) * 60;
return { distanceKm: round2(distanceKm), mins: Math.round(mins) };
}
// ─── Nearest-neighbor heuristic ─────────────────────────────────────────────
/**
* Orders points greedily: start at `startIndex`, then repeatedly visit the
* nearest unvisited point (great-circle distance). Returns indices into the
* input array in visiting order. Deterministic ties broken by lowest index.
*/
export function nearestNeighborOrder(
points: Array<{ latitude: number; longitude: number }>,
startIndex = 0
): number[] {
const n = points.length;
if (n <= 1) return points.map((_, i) => i);
const visited = new Array<boolean>(n).fill(false);
const order: number[] = [startIndex];
visited[startIndex] = true;
let current = startIndex;
for (let step = 1; step < n; step++) {
let best = -1;
let bestDist = Infinity;
for (let j = 0; j < n; j++) {
if (visited[j]) continue;
const d = haversineKm(points[current]!, points[j]!);
if (d < bestDist) {
bestDist = d;
best = j;
}
}
visited[best] = true;
order.push(best);
current = best;
}
return order;
}
/** Orders one chunk (<= MAX_STOPS_PER_ROUTE) via nearest-neighbor. */
function optimizeChunkNearestNeighbor(
stops: RouteStopInput[]
): RouteStopInput[] {
const order = nearestNeighborOrder(stops, 0);
return order.map((i) => stops[i]!);
}
// ─── Google Directions ──────────────────────────────────────────────────────
const GOOGLE_DIRECTIONS_URL =
"https://maps.googleapis.com/maps/api/directions/json";
interface GoogleDirectionsResponse {
status: string;
error_message?: string;
routes?: Array<{
waypoint_order?: number[];
legs?: Array<{
duration?: { value?: number };
distance?: { value?: number };
}>;
}>;
}
/**
* Orders one chunk via the Google Directions API with `optimizeWaypoints=true`.
*
* The first stop is fixed as both origin and destination (a closed tour); the
* remaining stops are passed as optimizable waypoints. We keep the optimized
* forward order and drop the final return-to-origin leg, yielding an open route
* whose per-leg durations/distances come from real road data.
*/
async function optimizeChunkGoogle(
stops: RouteStopInput[],
apiKey: string,
fetchImpl: FetchLike
): Promise<{ stops: RouteStopInput[]; legsMeters: number[]; legsSeconds: number[] }> {
if (stops.length <= 1) {
return { stops: [...stops], legsMeters: [], legsSeconds: [] };
}
const origin = stops[0]!;
const waypoints = stops.slice(1);
const url = new URL(GOOGLE_DIRECTIONS_URL);
url.searchParams.set("origin", `${origin.latitude},${origin.longitude}`);
url.searchParams.set("destination", `${origin.latitude},${origin.longitude}`);
url.searchParams.set(
"waypoints",
"optimize:true|" +
waypoints.map((w) => `${w.latitude},${w.longitude}`).join("|")
);
url.searchParams.set("key", apiKey);
const res = await fetchImpl(url.toString());
if (!res.ok) {
throw new Error(
`Google Directions request failed: ${res.status} ${res.statusText}`
);
}
const body = (await res.json()) as GoogleDirectionsResponse;
if (body.status !== "OK" || !body.routes || body.routes.length === 0) {
throw new Error(
`Google Directions returned status ${body.status}${
body.error_message ? `: ${body.error_message}` : ""
}`
);
}
const route = body.routes[0]!;
const waypointOrder = route.waypoint_order ?? waypoints.map((_, i) => i);
const legs = route.legs ?? [];
// Ordered stops: origin first, then waypoints in the optimized order.
const orderedStops: RouteStopInput[] = [
origin,
...waypointOrder.map((i) => waypoints[i]!),
];
// legs[k] is the travel into orderedStops[k+1]. Drop the trailing return leg
// (orderedStops.length-1 legs describe the open route).
const legsMeters: number[] = [];
const legsSeconds: number[] = [];
for (let k = 0; k < orderedStops.length - 1; k++) {
const leg = legs[k];
legsMeters.push(leg?.distance?.value ?? 0);
legsSeconds.push(leg?.duration?.value ?? 0);
}
return { stops: orderedStops, legsMeters, legsSeconds };
}
// ─── Orchestration ──────────────────────────────────────────────────────────
function chunk<T>(items: T[], size: number): T[][] {
const out: T[][] = [];
for (let i = 0; i < items.length; i += size) {
out.push(items.slice(i, i + size));
}
return out;
}
/**
* Optimizes a full day's stops into a single visiting order with travel
* metrics. Uses Google Directions when `googleApiKey` is provided, otherwise the
* offline nearest-neighbor heuristic. Routes longer than
* {@link MAX_STOPS_PER_ROUTE} stops are split into sub-routes and a warning is
* emitted; sub-routes are stitched end-to-end, with the boundary leg estimated
* from great-circle distance.
*/
export async function optimizeRoute(
inputStops: RouteStopInput[],
options: OptimizeRouteOptions = {}
): Promise<OptimizedRoute> {
const fetchImpl = options.fetchImpl ?? defaultFetch;
const useGoogle = Boolean(options.googleApiKey);
const provider: RouteOptimizationProvider = useGoogle
? "google"
: "nearest_neighbor";
const warnings: string[] = [];
if (inputStops.length === 0) {
return {
provider,
stops: [],
totalTravelMins: 0,
totalDistanceKm: 0,
chunked: false,
subRouteCount: 0,
warnings,
};
}
const chunks = chunk(inputStops, MAX_STOPS_PER_ROUTE);
const chunked = chunks.length > 1;
if (chunked) {
warnings.push(
`Route has ${inputStops.length} stops, exceeding the ${MAX_STOPS_PER_ROUTE}-stop optimization limit. Split into ${chunks.length} sub-routes; review the order at sub-route boundaries.`
);
}
const ordered: OptimizedStop[] = [];
let prev: RouteStopInput | null = null;
for (const group of chunks) {
let groupStops: RouteStopInput[];
let legDistanceKm: (i: number) => number;
let legMins: (i: number) => number;
if (useGoogle) {
try {
const result = await optimizeChunkGoogle(
group,
options.googleApiKey!,
fetchImpl
);
groupStops = result.stops;
legDistanceKm = (i) => round2(result.legsMeters[i]! / 1000);
legMins = (i) => Math.round(result.legsSeconds[i]! / 60);
} catch (err) {
// Google failed mid-optimization — degrade to the offline heuristic for
// this run rather than failing the whole request.
warnings.push(
`Google Directions unavailable; used offline heuristic: ${
err instanceof Error ? err.message : String(err)
}`
);
groupStops = optimizeChunkNearestNeighbor(group);
legDistanceKm = (i) => estimateLeg(groupStops[i]!, groupStops[i + 1]!).distanceKm;
legMins = (i) => estimateLeg(groupStops[i]!, groupStops[i + 1]!).mins;
}
} else {
groupStops = optimizeChunkNearestNeighbor(group);
legDistanceKm = (i) => estimateLeg(groupStops[i]!, groupStops[i + 1]!).distanceKm;
legMins = (i) => estimateLeg(groupStops[i]!, groupStops[i + 1]!).mins;
}
for (let i = 0; i < groupStops.length; i++) {
const stop = groupStops[i]!;
if (prev === null) {
// Very first stop of the whole route.
ordered.push({
appointmentId: stop.appointmentId,
latitude: stop.latitude,
longitude: stop.longitude,
travelMinsFromPrev: null,
travelDistanceKmFromPrev: null,
});
} else if (i === 0) {
// First stop of a non-initial chunk: estimate the boundary leg.
const est = estimateLeg(prev, stop);
ordered.push({
appointmentId: stop.appointmentId,
latitude: stop.latitude,
longitude: stop.longitude,
travelMinsFromPrev: est.mins,
travelDistanceKmFromPrev: est.distanceKm,
});
} else {
ordered.push({
appointmentId: stop.appointmentId,
latitude: stop.latitude,
longitude: stop.longitude,
travelMinsFromPrev: legMins(i - 1),
travelDistanceKmFromPrev: legDistanceKm(i - 1),
});
}
prev = stop;
}
}
const totalTravelMins = ordered.reduce(
(sum, s) => sum + (s.travelMinsFromPrev ?? 0),
0
);
const totalDistanceKm = round2(
ordered.reduce((sum, s) => sum + (s.travelDistanceKmFromPrev ?? 0), 0)
);
return {
provider,
stops: ordered,
totalTravelMins,
totalDistanceKm,
chunked,
subRouteCount: chunks.length,
warnings,
};
}
// ─── Google API key resolution ──────────────────────────────────────────────
/**
* Resolves the Google Maps API key for route optimization from
* `businessSettings.googleMapsApiKey` (decrypted at rest) or, as a development
* convenience, the `GOOGLE_MAPS_API_KEY` env var. Returns `null` when no usable
* key exists, in which case callers fall back to the offline heuristic.
*/
export async function resolveRouteGoogleApiKey(
db: Db,
decrypt: (ciphertext: string) => string = decryptSecret
): Promise<string | null> {
const [settings] = await db.select().from(businessSettings).limit(1);
const stored = settings?.googleMapsApiKey?.trim();
if (stored) {
try {
const decrypted = decrypt(stored).trim();
if (decrypted) return decrypted;
} catch (err) {
console.warn(
`Failed to decrypt googleMapsApiKey for route optimization; using offline heuristic: ${
err instanceof Error ? err.message : String(err)
}`
);
}
}
const fromEnv = process.env.GOOGLE_MAPS_API_KEY?.trim();
return fromEnv ? fromEnv : null;
}