[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8,"_9":10},"actionData","errors","root",{"_254":255,"_256":257},"routes/_app.x.$handle.$name",{"_95":94,"_32":44,"_104":85,"_27":105,"_13":14,"_106":-5,"_11":107,"_108":109,"_110":111,"_112":113,"_114":115,"_20":-5,"_116":-5,"_117":-5,"_118":26,"_119":120,"_121":24,"_122":-5,"_123":-5,"_124":125},"routes/_app.x.$handle.$name.branch.$branch.version.$version.diff",{"_11":12,"_13":14,"_15":16,"_17":-5,"_18":-5},"project",{"_42":43,"_32":44,"_37":45,"_46":-5,"_47":26,"_48":49,"_50":49,"_51":52,"_53":-5,"_18":54,"_55":56,"_57":24,"_58":-5,"_59":-5,"_60":61,"_62":63,"_64":-5,"_65":-5,"_66":-5,"_67":-5,"_68":69,"_70":69,"_71":72,"_73":72,"_74":72,"_75":69,"_76":69,"_77":78,"_79":80,"_81":82,"_83":26},"version",1285,"changes",[19],"aiChatInfo","userId",{"_20":21,"_22":-7,"_23":24,"_25":26,"_27":28,"_29":28},"file",{"_30":31,"_32":28,"_33":34,"_35":36,"_37":38,"_39":14,"_40":41,"_23":26},"previous","deleted",true,"deletedHere",false,"path","_tmp_esv.ts","latestPath","fileId","de511734-a07d-11f1-becf-1607ee4eb77e","name","fileType","script","content","// TEMPORARY read-only: what does Equipment_Service_Visit__c look like?\nimport { sfQuery } from \"./main.ts\";\n\nconst ID = \"a2RPm00000687QfMAI\";\n\ntry {\n const [r] = await sfQuery(\n `SELECT FIELDS(ALL) FROM Equipment_Service_Visit__c WHERE Id = '${ID}' LIMIT 1`,\n );\n if (!r) {\n console.log(\"record not found / not visible\");\n } else {\n const keys = Object.keys(r).filter((k) => k !== \"attributes\").sort();\n console.log(`${keys.length} field(s):\\n`);\n for (const k of keys) {\n const v = r[k];\n const shown = v === null ? \"null\" : typeof v === \"object\" ? JSON.stringify(v) : String(v);\n console.log(` ${k.padEnd(42)} ${shown.slice(0, 70)}`);\n }\n }\n} catch (err) {\n console.log(`FIELDS(ALL) failed: ${String(err).slice(0, 300)}`);\n}\n","createdAt",["D",1787659788628],"branchVersion","branchId","fcce0313-0df2-4398-9e5c-8a90515f9c8a","id","7ff6addc-d421-4037-b4cd-7b7685c3dab2","tribeca-route-builder",["D",1785443670415],"deletedAt","legacyEnvVars","privacy","public","httpPrivacy","description","DC-area route builder: Salesforce -> Google Sheet","imageUrl","c5acd3b3-60a7-4deb-bc6d-528f83012ea9","pinnedFileId","10f0e8ae-8c56-11f1-94f0-1607ee4eb77e","pinPreview","pinMigrated","screenshotVersion","likeCount",0,"orgId","019f8fe2-cdfc-775d-a845-a69af13d39cb","tursoName","tursoHostname","tursoMeasuredAt","pinned","userPerm","r","valPerm","blobPerm","rw","emailPerm","sqlitePerm","projectPerm","telemetryPerm","user",{"_95":94,"_103":99},"org",{"_95":94,"_96":97,"_98":99,"_18":54,"_100":101,"_102":26},"branch",{"_13":84,"_32":85,"_42":41,"_86":43,"_87":-5,"_88":-5,"_89":-5,"_90":-5,"_91":-5,"_92":44,"_93":94},"isOwned",1437,"main","projectId","forkedBranchId","forkedBranchVersion","forkedProjectPrivacy","forkedProjectId","forkedProjectOrgId","projectName","userHandle","Tribeca_Rep","handle","displayName","M A","avatar","https://lh3.googleusercontent.com/a/ACg8ocI9znhXn2hWp1wjjyWzeuOyoO_JrDgJo8aD0umFraR7bAG3UAmc=s96-c","tier","free","canRestrictVals","profileImageUrl","branchName","","adoptOrgId",{"_42":43,"_32":44,"_37":250,"_46":-5,"_47":26,"_48":49,"_50":49,"_51":52,"_53":-5,"_18":54,"_55":56,"_57":24,"_58":-5,"_59":-5,"_60":61,"_62":63,"_64":-5,"_65":-5,"_66":-5,"_67":-5,"_68":69,"_70":69,"_71":72,"_73":72,"_74":72,"_75":69,"_76":69,"_77":251,"_79":252,"_81":253,"_83":26},"tree",[213,214,215,216,217,218,219,220,221],"files",[213,214,215,216,217,218,219,220,221],"counts",{"_202":61,"_203":158,"_204":61,"_205":206,"_207":208},"contents",[126,127,128,129,130,131,132,133,134],"upstreamProject","upstreamBranch","emptyEnvVars","flags",[],"hasHttpFiles","grants","orgs","customDomains",{},{"_42":195,"_32":196,"_30":197,"_138":-5,"_40":41,"_39":198,"_140":24,"_37":199,"_13":61,"_33":34,"_35":200,"_23":26,"_144":-5,"_27":201},{"_42":192,"_32":28,"_30":31,"_138":-5,"_40":41,"_39":14,"_140":26,"_37":193,"_13":61,"_33":34,"_35":36,"_23":26,"_144":-5,"_27":194},{"_42":185,"_32":186,"_30":56,"_138":-5,"_40":41,"_39":187,"_140":26,"_37":188,"_13":189,"_33":34,"_35":190,"_23":26,"_144":-5,"_27":191},{"_42":175,"_32":176,"_30":177,"_138":-5,"_40":41,"_39":178,"_140":26,"_37":179,"_13":180,"_33":181,"_35":182,"_23":26,"_144":183,"_27":184},{"_42":168,"_32":169,"_30":170,"_138":-5,"_40":41,"_39":171,"_140":24,"_37":172,"_13":158,"_33":142,"_35":173,"_23":26,"_144":-5,"_27":174},{"_42":161,"_32":162,"_30":163,"_138":-5,"_40":41,"_39":164,"_140":24,"_37":165,"_13":158,"_33":142,"_35":166,"_23":26,"_144":-5,"_27":167},{"_42":153,"_32":154,"_30":155,"_138":-5,"_40":41,"_39":156,"_140":24,"_37":157,"_13":158,"_33":142,"_35":159,"_23":26,"_144":-5,"_27":160},{"_42":146,"_32":147,"_30":148,"_138":-5,"_40":41,"_39":149,"_140":26,"_37":150,"_13":61,"_33":34,"_35":151,"_23":26,"_144":-5,"_27":152},{"_42":135,"_32":136,"_30":137,"_138":-5,"_40":41,"_39":139,"_140":24,"_37":141,"_13":61,"_33":142,"_35":143,"_23":26,"_144":-5,"_27":145},"8cd08fe4-e5b1-4488-8a86-9f854368740e","worker.ts","addbdfce-9693-11f1-9f88-1607ee4eb77e","parentId",430,"latest",["D",1786569644611],"interval","// Drains the route queue.\n//\n// Why this exists: routing a full week for a large region takes ~68s (302 stops\n// is a ~91,000-pair distance matrix) and Val Town kills an HTTP request well\n// before that, so the map cannot build these itself. It queues a job instead\n// and this picks it up on the interval, where there is budget to finish.\n//\n// One job per tick, deliberately. Two 68-second builds in a single interval\n// run would risk running past the tick and leave both half-written; the next\n// tick is only a minute away.\nimport build, {\n loadQueue,\n type QueueJob,\n saveQueue,\n STALE_JOB_MS,\n} from \"./main.ts\";\n\nexport default async function () {\n const queue = await loadQueue();\n\n // Reclaim anything that claims to be running but was killed mid-build, or the\n // queue wedges on a job nothing is working on.\n let dirty = false;\n for (const [key, job] of Object.entries(queue)) {\n if (job.status !== \"running\") continue;\n const age = Date.now() - new Date(job.startedAt ?? job.requestedAt).getTime();\n if (age > STALE_JOB_MS) {\n queue[key] = {\n ...job,\n status: \"error\",\n error: `Build was interrupted after ${Math.round(age / 1000)}s and did not finish.`,\n finishedAt: new Date().toISOString(),\n };\n dirty = true;\n console.log(`Reclaimed stale job ${key}`);\n }\n }\n\n // Never start a second build while one is genuinely in flight - they compete\n // for the same geocode cache and the same snapshot blob.\n const inFlight = Object.values(queue).find((j) => j.status === \"running\");\n if (inFlight) {\n if (dirty) await saveQueue(queue);\n console.log(`Busy: ${inFlight.region} week ${inFlight.weekOffset} is still building`);\n return;\n }\n\n const entry = Object.entries(queue)\n .filter(([, j]) => j.status === \"queued\")\n .sort((a, b) => a[1].requestedAt.localeCompare(b[1].requestedAt))[0];\n if (!entry) {\n if (dirty) await saveQueue(queue);\n return;\n }\n\n const [key, job] = entry;\n const started = Date.now();\n queue[key] = { ...job, status: \"running\", startedAt: new Date().toISOString() };\n await saveQueue(queue);\n console.log(`Routing ${job.region} week ${job.weekOffset}...`);\n\n let finished: QueueJob;\n try {\n const out = await build({\n region: job.region,\n weekOffset: job.weekOffset,\n // Next week is a plan, not a dispatch: it must not overwrite the tab the\n // drivers are working from this week. Only week 0 writes the sheet.\n writeSheet: job.weekOffset === 0,\n });\n finished = {\n ...queue[key],\n status: \"done\",\n finishedAt: new Date().toISOString(),\n stops: out.totalStops ?? 0,\n routes: (out.routes ?? []).length,\n unassigned: out.unassignedCount ?? 0,\n };\n console.log(\n `Routed ${job.region} week ${job.weekOffset}: ${finished.stops} stops, ` +\n `${finished.routes} routes, ${finished.unassigned} unassigned in ` +\n `${((Date.now() - started) / 1000).toFixed(1)}s`,\n );\n } catch (err) {\n finished = {\n ...queue[key],\n status: \"error\",\n finishedAt: new Date().toISOString(),\n error: String(err).slice(0, 300),\n };\n console.log(`Routing ${job.region} week ${job.weekOffset} failed: ${String(err)}`);\n }\n\n // Re-read: the queue may have gained a job while this one was building, and\n // writing the stale copy back would silently drop it.\n const latest = await loadQueue();\n latest[key] = finished;\n await saveQueue(latest);\n}\n","label",[136],"979002b0-1de3-40b0-abf6-6d6ca1bfb1f4","rebuild.ts","351ab092-97ec-11f1-bc91-1607ee4eb77e",643,["D",1786717618406],"// Shared body of the three morning rebuild intervals.\n//\n// One region per interval, not all three in one run: a full week of Florida is\n// ~40s on its own and Miami ~35s, so the combined run blew through Val Town's\n// 60s ceiling and left the last region unbuilt. The three crons are staggered\n// five minutes apart because the regions share the geocode cache, the distance\n// cache and OSRM's 1 req/sec limit - overlapping them would only make each one\n// slower.\nimport build, { REGIONS } from \"./main.ts\";\n\nexport async function rebuildRegion(key: string) {\n const region = REGIONS[key];\n const started = Date.now();\n try {\n const out = await build({ region: key, weekOffset: 0 });\n console.log(\n `${region.label}: ${out.totalStops} stops, ${(out.routes ?? []).length} routes, ` +\n `${out.unassignedCount ?? 0} unassigned in ${((Date.now() - started) / 1000).toFixed(1)}s`,\n );\n } catch (err) {\n // Logged rather than rethrown: a Salesforce hiccup on one region is not a\n // reason to mark the interval failed and page nobody in particular.\n console.log(`${region.label}: FAILED after ${((Date.now() - started) / 1000).toFixed(1)}s - ${err}`);\n }\n}\n",[147],"c95501aa-1d27-4484-b558-d3eb6ae55abc","morning-miami.ts","3e1c3788-97ec-11f1-921b-1607ee4eb77e",648,["D",1786717657430],1,"// Miami morning rebuild - 5:35 AM ET, five minutes behind DC so the two are\n// not competing for OSRM's one-request-a-second budget.\n//\n// Week 0 only. Next week is a planning view and rebuilding it daily would\n// churn a plan nobody is driving yet - and would quietly discard any manual\n// moves made while looking ahead.\nimport { rebuildRegion } from \"./rebuild.ts\";\n\nexport default async function () {\n await rebuildRegion(\"miami\");\n}\n",[154],"e93e35aa-3a05-4d0d-9c51-2aa8730af9c2","morning-florida.ts","43132ec2-97ec-11f1-be77-1607ee4eb77e",649,["D",1786717661780],"// Florida morning rebuild - 5:40 AM ET. Last because it is the biggest: a full\n// week is ~230 stops and ~40s, which is most of Val Town's 60s ceiling on its\n// own. If this one ever starts timing out, that is the signal to move to a\n// paid plan or split the region.\n//\n// Week 0 only. Next week is a planning view and rebuilding it daily would\n// churn a plan nobody is driving yet - and would quietly discard any manual\n// moves made while looking ahead.\nimport { rebuildRegion } from \"./rebuild.ts\";\n\nexport default async function () {\n await rebuildRegion(\"florida\");\n}\n",[162],"cfb12e9f-5199-4f23-81bc-773fd8cffeca","morning-dc.ts","39e7c70e-97ec-11f1-ae3a-1607ee4eb77e",647,["D",1786717653194],"// DC / MD / VA morning rebuild - 5:30 AM ET. First of the three, and the\n// smallest, so dispatch has the DMV sheet earliest.\n//\n// Week 0 only. Next week is a planning view and rebuilding it daily would\n// churn a plan nobody is driving yet - and would quietly discard any manual\n// moves made while looking ahead.\nimport { rebuildRegion } from \"./rebuild.ts\";\n\nexport default async function () {\n await rebuildRegion(\"dc\");\n}\n",[169],"91c2c179-4d0e-4f1a-9a12-84a9b49a6a76","map.ts","84a05328-95bd-11f1-9462-1607ee4eb77e",1282,["D",1787263243375],363,"http","// Visual map of the last route build: every geocoded stop, shown either as a\n// raw cloud of dots (\"Before\") or coloured by assigned day with the actual\n// visit order drawn as lines (\"After\").\n//\n// Reads the snapshot main.ts writes on each run - it does not recompute\n// anything, so the page loads instantly and always shows exactly what was\n// written to the sheet.\n\nimport { blob } from \"https://esm.town/v/std/blob/main.ts\";\nimport { email } from \"https://esm.town/v/std/email\";\nimport buildDcRoutes, {\n addDays,\n aggregateProducts,\n blobKeyFor,\n todayEastern,\n enqueueRoute,\n getRegion,\n loadRemovedIds,\n committedStops,\n readJob,\n sfQuery,\n tomorrowEastern,\n saveRemovedIds,\n sfUpdateMany,\n todaysStops,\n type Aside,\n type Region,\n REGIONS,\n type MapSnapshot,\n type Overrides,\n OVERRIDES_KEY,\n SNAPSHOT_KEY,\n snapshotKeyFor,\n} from \"./main.ts\";\n\nconst html = (body: string, headers: Record = {}) =>\n new Response(body, { headers: { \"Content-Type\": \"text/html; charset=utf-8\", ...headers } });\n\n// ----------------------------------------------------------------------------\n// Storage resilience\n// ----------------------------------------------------------------------------\n//\n// Val Town's blob service occasionally drops a connection mid-request\n// (\"connection closed before message completed\"). Unretried, that surfaced as\n// a raw Deno stack trace - ugly, and it leaked internal service URLs. These\n// reads are idempotent, so a couple of quick retries clear it.\n\nconst napMs = (ms: number) => new Promise((r) => setTimeout(r, ms));\n\nexport async function withRetry(what: string, fn: () => Promise, attempts = 3): Promise {\n let lastError: unknown;\n for (let attempt = 1; attempt <= attempts; attempt++) {\n try {\n return await fn();\n } catch (err) {\n lastError = err;\n console.log(`${what} failed (attempt ${attempt}/${attempts}): ${String(err).slice(0, 140)}`);\n if (attempt < attempts) await napMs(250 * attempt);\n }\n }\n throw lastError;\n}\n\nconst readSnapshot = (region: Region, week = 0) =>\n withRetry(\"snapshot read\", async () =>\n await blob.getJSON(snapshotKeyFor(region.key, week)) as MapSnapshot | undefined);\n\nconst readOverrides = (region: Region) =>\n blob.getJSON(blobKeyFor(OVERRIDES_KEY, region.key)) as Promise;\n\nconst writeOverrides = (region: Region, value: Overrides) =>\n blob.setJSON(blobKeyFor(OVERRIDES_KEY, region.key), value);\n\nconst writeSnapshot = (region: Region, snap: MapSnapshot) =>\n blob.setJSON(snapshotKeyFor(region.key, snap.weekOffset ?? 0), snap);\n\n// Shown instead of a stack trace when storage is genuinely unavailable.\nfunction storageErrorPage(): Response {\n return new Response(\n `\n \n Tribeca DMV routes\n

Temporarily unavailable

Val Town's storage did not respond after three attempts. Nothing is lost -\n the routes are still saved. This usually clears within a few seconds.

\n \n

`,\n {\n status: 503,\n headers: {\n \"Content-Type\": \"text/html; charset=utf-8\",\n \"Cache-Control\": \"no-store\",\n \"Retry-After\": \"5\",\n },\n },\n );\n}\n\n// ----------------------------------------------------------------------------\n// Access gate\n// ----------------------------------------------------------------------------\n//\n// Val Town's own restricted-HTTP setting is not enabled for this org, so the\n// map guards itself with a shared secret. Visit once with ?key=... and the key\n// is stored in an HttpOnly cookie; every later request (including the POST\n// endpoints that rewrite routes and the sheet) is checked against it.\n//\n// Fails closed: if MAP_ACCESS_KEY is missing from the environment nothing is\n// served, so a misconfiguration can never silently expose customer addresses.\n\nconst COOKIE = \"rb_access\";\n\n// Constant-time-ish compare, to avoid leaking the key length/prefix by timing.\nfunction secretsMatch(a: string, b: string): boolean {\n if (a.length !== b.length) return false;\n let diff = 0;\n for (let i = 0; i < a.length; i++) diff |= a.charCodeAt(i) ^ b.charCodeAt(i);\n return diff === 0;\n}\n\nfunction readCookie(req: Request, name: string): string | null {\n const raw = req.headers.get(\"cookie\") ?? \"\";\n for (const part of raw.split(\";\")) {\n const [k, ...rest] = part.trim().split(\"=\");\n if (k === name) return decodeURIComponent(rest.join(\"=\"));\n }\n return null;\n}\n\ntype Gate =\n | { ok: true; setCookie?: string }\n | { ok: false; reason: \"unconfigured\" | \"denied\" };\n\nfunction checkAccess(req: Request): Gate {\n const expected = Deno.env.get(\"MAP_ACCESS_KEY\");\n if (!expected) return { ok: false, reason: \"unconfigured\" };\n\n // A header, for callers that are not a browser. Salesforce sends the key this\n // way so the secret never lands in a URL, a debug log or an org's callout\n // history. No cookie is issued - a server has nowhere to keep one.\n const header = req.headers.get(\"x-map-key\");\n if (header && secretsMatch(header, expected)) return { ok: true };\n\n const supplied = new URL(req.url).searchParams.get(\"key\");\n if (supplied && secretsMatch(supplied, expected)) {\n return {\n ok: true,\n // 30 days. HttpOnly so page scripts can't read it back out.\n setCookie: `${COOKIE}=${encodeURIComponent(expected)}; Path=/; Max-Age=2592000; ` +\n `HttpOnly; Secure; SameSite=Lax`,\n };\n }\n\n const cookie = readCookie(req, COOKIE);\n if (cookie && secretsMatch(cookie, expected)) return { ok: true };\n\n return { ok: false, reason: \"denied\" };\n}\n\n// A password prompt rather than a \"put ?key= in the URL\" instruction: the key\n// then never appears in the address bar, browser history or referrer headers.\nfunction deniedPage(reason: \"unconfigured\" | \"denied\"): Response {\n const body = reason === \"unconfigured\"\n ? `

Not configured

MAP_ACCESS_KEY is not set on this val, so the map is closed. Set it in the\n val's environment variables and reload.

`\n : `

Tribeca DMV routes

This map shows customer names and delivery addresses. Enter the password to continue.

\n \n \n \n`;\n\n// The company's own header logo, served from the company site. Kept as a URL\n// rather than inlined: it is 6.5KB that the browser caches once, and it stays\n// current if marketing ever changes it.\nconst LOGO_URL = \"https://tribecabeverage.com/wp-content/uploads/2023/04/TBC-logo-272x76-1.png\";\n\n// Top-right corner of every page: the logo alone. A title next to it only\n// repeated what the tab and the controls already say.\nconst brand = () =>\n `

$\"TriBeCa$

`;\n\nconst STYLES = `\n :root { color-scheme: light dark; --bg:#fff; --fg:#111827; --muted:#6b7280; --line:#e5e7eb; --panel:#f9fafb;\n --daybg:#dcfce7; --dayfg:#166534; --dayline:#86efac; --danger:#b91c1c; }\n @media (prefers-color-scheme: dark) {\n /* A lighter red on the dark ground - #b91c1c against #0f172a is unreadable,\n and a warning nobody can read is worse than no warning. */\n :root { --bg:#0f172a; --fg:#e2e8f0; --muted:#94a3b8; --line:#1e293b; --panel:#1e293b;\n --daybg:#14532d; --dayfg:#bbf7d0; --dayline:#166534; --danger:#fca5a5; }\n }\n * { box-sizing: border-box; }\n body { margin:0; font:14px/1.5 ui-sans-serif,system-ui,-apple-system,\"Segoe UI\",sans-serif;\n background:var(--bg); color:var(--fg); display:flex; flex-direction:column; height:100vh; }\n /* padding-right reserves the corner so wrapping controls never run under the\n absolutely-positioned brand. */\n header { position:relative; padding:10px 16px; border-bottom:1px solid var(--line);\n display:flex; flex-wrap:wrap; gap:12px 20px; align-items:center;\n padding-right:140px; }\n h1 { font-size:15px; margin:0; font-weight:650; }\n .brand { position:absolute; top:9px; right:16px; display:flex; align-items:center; }\n .brand img { height:30px; width:auto; display:block; }\n .meta { color:var(--muted); font-size:12px; }\n .toggle { display:inline-flex; border:1px solid var(--line); border-radius:8px; overflow:hidden; }\n .toggle button { border:0; padding:6px 14px; background:var(--panel); color:var(--fg);\n font:inherit; font-weight:550; cursor:pointer; }\n .toggle button[aria-pressed=\"true\"] { background:#2563eb; color:#fff; }\n /* The map and the route panel share the row that used to be the map alone,\n so opening the panel narrows the map rather than covering it - a driver's\n stop list is no use if it hides the route it describes. */\n #stage { flex:1; min-height:0; display:flex; }\n #map { flex:1; min-height:0; background:var(--panel); position:relative; }\n #routepanel { width:330px; flex:none; overflow-y:auto; background:var(--bg);\n border-left:1px solid var(--line); padding:12px 14px 20px; }\n #routepanel h3 { margin:0 0 2px; font-size:14px; display:flex; align-items:center; gap:7px; }\n #routepanel .swatch { width:11px; height:11px; border-radius:50%; flex:none; }\n #routepanel .close { margin-left:auto; border:0; background:none; color:var(--muted);\n font:inherit; font-size:18px; line-height:1; cursor:pointer; padding:0 2px; }\n #routepanel ol { list-style:none; margin:10px 0 0; padding:0; }\n #routepanel li { display:flex; gap:9px; padding:6px 4px; border-radius:6px;\n border-top:1px solid var(--line); cursor:pointer; }\n #routepanel li:hover { background:var(--panel); }\n #routepanel .seq { flex:none; width:20px; text-align:right; font-weight:650;\n font-variant-numeric:tabular-nums; color:var(--muted); }\n #routepanel .who { font-weight:550; font-size:13px; }\n #routepanel .where { color:var(--muted); font-size:12px; }\n #routepanel .qty { margin-left:auto; flex:none; font-size:12px; font-weight:600;\n font-variant-numeric:tabular-nums; }\n #routepanel .swaprow { display:flex; gap:6px; margin-top:10px; }\n #routepanel .swaprow select { flex:1; min-width:0; font:inherit; font-size:12px; padding:4px 6px;\n background:var(--panel); color:var(--fg);\n border:1px solid var(--line); border-radius:7px; }\n #routepanel .swaprow button { font:inherit; font-size:12px; padding:4px 12px; border-radius:7px;\n cursor:pointer; border:1px solid var(--line);\n background:var(--panel); color:var(--fg); }\n #routepanel .swaprow button:hover { border-color:var(--fg); }\n #map.lassoing { cursor:crosshair; }\n #map.lassoing .leaflet-interactive { cursor:crosshair; }\n .toggle button[aria-pressed=\"true\"], .actions button[aria-pressed=\"true\"] { background:#2563eb; color:#fff; }\n #selbar { position:absolute; z-index:1000; left:50%; transform:translateX(-50%); bottom:14px;\n background:var(--bg); border:1px solid var(--line); border-radius:10px;\n box-shadow:0 4px 16px rgba(0,0,0,.18); padding:8px 10px;\n display:flex; gap:8px; align-items:center; font-size:13px; max-width:94%; }\n #selbar[hidden] { display:none; }\n #selbar select { font:inherit; font-size:12px; padding:4px; }\n #selbar button { font:inherit; font-size:12px; padding:5px 12px; border-radius:7px; cursor:pointer;\n border:1px solid #2563eb; background:#2563eb; color:#fff; }\n #selbar button.ghost { background:transparent; color:var(--fg); border-color:var(--line); }\n #selcount { font-weight:600; white-space:nowrap; }\n /* In-page confirmation. Native confirm() is silently suppressed in embedded\n and hardened browsers - it returns false, so the click just does nothing. */\n #confirmwrap { position:fixed; inset:0; z-index:2000; background:rgba(15,23,42,.45);\n display:flex; align-items:center; justify-content:center; padding:20px; }\n #confirmwrap[hidden] { display:none; }\n #confirmbox { background:var(--bg); color:var(--fg); border:1px solid var(--line);\n border-radius:12px; padding:18px 20px; max-width:430px;\n box-shadow:0 10px 40px rgba(0,0,0,.3); }\n /* pre-line so the newlines in a confirmation survive. Every dialog here\n lists things - routes being sent, stops that break a rule - and set via\n textContent those breaks were being collapsed into one run-on paragraph. */\n #confirmbox p { margin:0 0 14px; font-size:13px; line-height:1.5; white-space:pre-line; }\n /* Red only when the dialog is telling you something is wrong. A send\n confirmation and a rule you are about to break should not look alike. */\n #confirmbox p.warn { color:var(--danger); font-weight:550; }\n #confirmbox .row { display:flex; gap:8px; justify-content:flex-end; }\n #confirmbox button { font:inherit; font-size:13px; padding:7px 15px; border-radius:8px;\n cursor:pointer; border:1px solid #2563eb; background:#2563eb; color:#fff; }\n #confirmbox button.ghost { background:transparent; color:var(--fg); border-color:var(--line); }\n /* A column per day: the date heads the column and its trucks stack beneath,\n with the next day to the right. The date is named once instead of once per\n vehicle, and a day with no route contributes no column at all. */\n .legend { display:flex; flex-direction:row; flex-wrap:wrap; align-items:flex-start;\n gap:8px 20px; font-size:12px; }\n .legend-day { display:flex; flex-direction:column; align-items:flex-start; gap:3px; }\n /* Green banner across the top of each day's column. align-self:stretch makes\n it span the full column width whatever the trucks underneath are called,\n so the banners read as a header row. */\n .legend-daylabel { font:inherit; font-weight:650; font-variant-numeric:tabular-nums;\n color:var(--dayfg); background:var(--daybg);\n border:1px solid var(--dayline); border-radius:5px;\n padding:2px 8px; margin-bottom:2px; align-self:stretch;\n text-align:center; letter-spacing:.01em; cursor:pointer; }\n .legend-daylabel:hover { border-color:var(--dayfg); }\n /* The day being shown on its own. Inverted so it is obvious at a glance which\n one the map is filtered to, and that the others are hidden rather than\n absent. */\n .legend-daylabel[aria-pressed=\"true\"] { background:var(--dayfg); color:var(--daybg);\n border-color:var(--dayfg); }\n .legend-all { font:inherit; font-size:12px; font-weight:600; padding:3px 10px;\n border-radius:6px; cursor:pointer; border:1px solid #0f766e;\n background:#0d9488; color:#f0fdfa; align-self:center; }\n .legend-all:hover:not(:disabled) { background:#0f766e; }\n .legend-all:disabled { cursor:default; }\n .legend label { display:inline-flex; align-items:center; gap:5px; cursor:pointer; }\n /* Reads as a link rather than a button: it opens a list, it does not change\n the plan, and everything in this legend that does change something is a\n box or a chip. */\n .routelink { font:inherit; padding:0; border:0; background:none; color:inherit;\n cursor:pointer; text-decoration:underline; text-decoration-style:dotted;\n text-underline-offset:2px; text-decoration-color:var(--muted); }\n .routelink:hover { text-decoration-style:solid; text-decoration-color:currentColor; }\n .routelink[aria-pressed=\"true\"] { font-weight:650; text-decoration-style:solid; }\n .swatch { width:11px; height:11px; border-radius:50%; display:inline-block; }\n .searchwrap { position:relative; }\n #search { font:inherit; font-size:12px; padding:5px 9px; border-radius:7px; width:230px;\n border:1px solid var(--line); background:var(--panel); color:var(--fg); }\n #results { position:absolute; z-index:1500; top:calc(100% + 4px); left:0; width:340px;\n max-height:260px; overflow-y:auto; background:var(--bg); color:var(--fg);\n border:1px solid var(--line); border-radius:9px; box-shadow:0 6px 24px rgba(0,0,0,.2); }\n #results[hidden] { display:none; }\n #results div { padding:6px 10px; font-size:12px; cursor:pointer; border-bottom:1px solid var(--line); }\n #results div:last-child { border-bottom:0; }\n #results div:hover, #results div.sel { background:#2563eb; color:#fff; }\n #results div small { display:block; opacity:.75; }\n #results .none { cursor:default; opacity:.7; }\n .lockbtn { font:inherit; font-size:11px; padding:2px 7px; border-radius:6px; cursor:pointer;\n border:1px solid var(--line); background:var(--panel); color:var(--muted); }\n .lockbtn.on { border-color:#111827; color:var(--fg); font-weight:600; }\n .leaflet-popup-content { font:13px/1.45 ui-sans-serif,system-ui,sans-serif; margin:10px 12px; }\n .leaflet-popup-content b { font-size:13px; }\n .leaflet-popup-content .sub { color:#6b7280; font-size:12px; }\n /* The load list grows with the number of trucks; without a cap a 7-route\n week pushes the map off the screen entirely. */\n footer { padding:8px 16px; border-top:1px solid var(--line); font-size:12px; color:var(--muted);\n max-height:34vh; overflow-y:auto; flex:none; }\n .actions button { border:1px solid var(--line); background:var(--panel); color:var(--fg);\n border-radius:7px; padding:5px 11px; font:inherit; font-size:12px; cursor:pointer; }\n .actions button:disabled { opacity:.5; cursor:default; }\n /* Day picker sits against its button so they read as one control. */\n .optimo { display:inline-flex; align-items:center; gap:0; }\n .optimo select { font:inherit; font-size:12px; padding:4px 6px; color:var(--fg);\n background:var(--panel); border:1px solid var(--line);\n border-right:0; border-radius:7px 0 0 7px; }\n .optimo button { border-radius:0 7px 7px 0; }\n .approx { margin-top:6px; padding:5px 7px; border-radius:6px; font-size:11.5px; line-height:1.4;\n background:#fef3c7; color:#92400e; border:1px solid #fcd34d; }\n .prods { margin-top:7px; padding-top:6px; border-top:1px solid #e5e7eb; font-size:12px; }\n .prods div { padding:1px 0; }\n .loadlist { display:flex; flex-wrap:wrap; gap:10px 18px; margin-top:6px; }\n .loadlist section { min-width:210px; }\n .loadlist h4 { margin:0 0 3px; font-size:12px; display:flex; align-items:center; gap:6px; }\n .loadlist table { border-collapse:collapse; font-size:12px; }\n .loadlist td { padding:1px 8px 1px 0; vertical-align:top; }\n .loadlist td.q { text-align:right; font-variant-numeric:tabular-nums; font-weight:600; }\n .move-row { margin-top:9px; padding-top:8px; border-top:1px solid #e5e7eb;\n display:flex; gap:6px; align-items:center; }\n .move-row select { font:inherit; font-size:12px; padding:3px; flex:1; }\n .move-row button { font:inherit; font-size:12px; padding:4px 10px; cursor:pointer;\n border:1px solid #2563eb; background:#2563eb; color:#fff; border-radius:6px; }\n .move-row button.lockone { background:transparent; color:#111827; border-color:#9ca3af; }\n .move-row button.danger { background:transparent; color:#b91c1c; border-color:#fca5a5; width:100%; }\n .lockednote { margin-top:6px; padding:5px 7px; border-radius:6px; font-size:11.5px;\n background:#e5e7eb; color:#111827; }\n details summary { cursor:pointer; }\n details ul { margin:6px 0 0; padding-left:18px; max-height:150px; overflow:auto; }\n\n /* ---- Phones -------------------------------------------------------------\n The header carries a lot: search, three toggle groups, the route legend,\n six action buttons and a status line. At desktop widths that sits on two\n rows; at 375px it would swallow the whole viewport and leave no map. So\n below 720px the controls compact, the action row becomes a single\n horizontally scrolling strip rather than six stacked rows, and the map is\n guaranteed a minimum share of the screen no matter how many routes the\n legend has to list. */\n /* On desktop the disclosure is inert: display:contents dissolves the

\n box so its children sit directly in the header's flex row, exactly as they\n did before it was introduced, and the summary is hidden. */\n #ctrls { display: contents; }\n #ctrls > summary { display: none; }\n\n @media (max-width: 720px) {\n /* dvh, not vh: mobile browsers count the collapsing URL bar in vh, which\n leaves the footer stranded below the fold until you scroll. */\n body { height:100dvh; }\n header { padding:8px 10px; gap:8px 10px; }\n h1 { font-size:14px; flex:1 1 auto; }\n\n /* Here it becomes a real disclosure. Collapsed, the header is just the\n title, the toggle and the stop count, which hands the map most of the\n screen; everything is one tap away. */\n #ctrls { display:block; flex:1 1 100%; }\n #ctrls > summary { display:inline-flex; align-items:center; gap:6px;\n list-style:none; cursor:pointer; font-weight:600; font-size:13px;\n border:1px solid var(--line); border-radius:8px;\n background:var(--panel); padding:9px 13px; }\n #ctrls > summary::-webkit-details-marker { display:none; }\n #ctrls > summary::after { content:\"\\\\25be\"; opacity:.7; }\n #ctrls[open] > summary::after { content:\"\\\\25b4\"; }\n /* The brand shrinks but stays in the corner; the reserved gutter shrinks\n with it so the controls keep the rest of the width. */\n header { padding-right:96px; }\n .brand { top:7px; right:10px; }\n .brand img { height:22px; }\n #ctrls[open] > summary { margin-bottom:10px; }\n #ctrls > *:not(summary) { margin-bottom:8px; }\n #ctrls > *:last-child { margin-bottom:0; }\n .searchwrap { flex:1 1 100%; }\n /* 16px is deliberate - iOS Safari zooms the whole page in when a focused\n input has a font smaller than that, and never zooms back out. */\n #search { width:100%; font-size:16px; padding:8px 10px; }\n #results { width:100%; max-height:45vh; }\n #results div { padding:10px; font-size:13px; }\n /* min-height rather than padding alone: these are the primary controls and\n a 30px target is too small to hit reliably with a thumb. */\n .toggle { flex:1 1 auto; }\n .toggle button { flex:1; padding:10px; font-size:12px; min-height:40px; }\n .legend { flex:1 1 100%; gap:6px 12px; }\n .legend label { padding:2px 0; }\n .actions { flex:1 1 100%; display:flex; gap:6px; overflow-x:auto;\n padding-bottom:2px; -webkit-overflow-scrolling:touch; }\n .actions button { flex:0 0 auto; padding:10px 13px; font-size:12px; min-height:40px; }\n header > .meta { flex:1 1 100%; }\n #map { min-height:45vh; }\n /* No room for a column beside the map on a phone, so the panel becomes a\n drawer under it and the map keeps the space it had. */\n #stage { flex-direction:column; }\n #routepanel { width:auto; max-height:38vh; border-left:0; border-top:1px solid var(--line); }\n footer { max-height:26vh; padding:8px 10px; }\n .loadlist { gap:14px; }\n .loadlist section { min-width:100%; }\n /* Full-width sheet along the bottom instead of a centred pill - at 375px\n the pill's contents wrap and it stops being tappable. */\n #selbar { left:8px; right:8px; bottom:8px; transform:none; max-width:none;\n flex-wrap:wrap; padding:10px; }\n #selcount { flex:1 1 100%; }\n #selbar select, #selbar button { flex:1 1 auto; padding:9px 10px; font-size:13px; }\n #confirmbox { max-width:none; width:100%; }\n /* The day lock toggles sit inside the legend, so they inherit its small\n type; give them a real target of their own. */\n .lockbtn { padding:7px 11px; font-size:12px; min-height:36px; }\n .move-row select, .move-row button { padding:8px 10px; font-size:13px; }\n }\n`;\n\n// Today's route gets its own page rather than reusing renderPage. The routing\n// view is built around trucks - the legend, lasso, move dropdowns, reoptimize\n// and save-to-sheet all assume a plan that can be changed. Today's route is\n// already on the road and none of that applies, so this is read-only: where\n// the stops are, whose route they are on, and what has been delivered.\nfunction renderTodayPage(data: Awaited>): Response {\n const { stops, label, date } = data;\n // Account names in this org carry & and * routinely (\"SEND INVOICES George\n // Vargas/East Coast A&P\"), so nothing user-supplied goes in raw.\n const esc = (v: string) =>\n String(v).replace(/[&<>]/g, (c) => ({ \"&\": \"&\", \"<\": \"<\", \">\": \">\" }[c]!));\n const routes = [...new Set(stops.map((s) => s.routeName))].sort();\n const delivered = stops.filter((s) => s.delivered).length;\n const units = stops.reduce((a, s) => a + s.units, 0);\n\n const nav = Object.values(REGIONS).map((r) =>\n ``\n ).join(\"\");\n\n const list = routes.map((rn) => {\n const rows = stops.filter((s) => s.routeName === rn);\n const done = rows.filter((s) => s.delivered).length;\n return `

${esc(rn)} ${rows.length} stops · ${\n rows.reduce((a, s) => a + s.units, 0)\n } units · ${done}/${rows.length} delivered

\n ${\n rows.map((s) =>\n ``\n ).join(\"\")\n }

${s.units}

${\n esc(s.accountName)\n }

${s.delivered ? \"delivered\" : esc(s.stage)}

`;\n }).join(\"\");\n\n // What is on each truck, biggest line first - the same question the routing\n // map's load list answers, but for trucks already out.\n //\n // The quantity shown is what is STILL on board, not what was loaded at the\n // warehouse. This view is live and re-read all day as drivers mark drops\n // delivered, so \"20 x 5 GAL Spring\" on a truck that has already dropped 12 of\n // them is not a useful thing to tell anybody. The loaded figure is kept\n // beside it wherever the two differ, so the morning number is still there.\n const loads = routes.map((rn) => {\n const rows = stops.filter((s) => s.routeName === rn);\n const outstanding = rows.filter((s) => !s.delivered);\n const loaded = aggregateProducts(rows);\n const leftByName = new Map(aggregateProducts(outstanding).map((p) => [p.name, p.qty]));\n const units = rows.reduce((a, s) => a + s.units, 0);\n const leftUnits = outstanding.reduce((a, s) => a + s.units, 0);\n return `

${esc(rn)} ${\n leftUnits === units ? `${units} units` : `${leftUnits} of ${units} units left`\n }

\n ${\n loaded.map((p) => {\n const left = leftByName.get(p.name) ?? 0;\n return ``;\n }).join(\"\")\n }

${left}

${\n left === p.qty ? \"\" : `of ${p.qty}`\n }

${esc(p.name)}

`;\n }).join(\"\");\n\n return html(`${PAGE_HEAD}\n

\n ${brand()}\n

Controls

${nav}

\n \n \n \n

Today · ${esc(label)} · ${date} ·\n ${stops.length} stops · ${units} units ·\n ${delivered} delivered, ${stops.length - delivered} outstanding

\n\n\n`);\n}\n\nfunction emptyPage(): Response {\n return html(`${PAGE_HEAD}\n

Tribeca DMV routes - map

No route snapshot stored yet.

Run main.ts once (the Run button on the val) and reload this page -\n the build writes the snapshot this map reads.

`);\n}\n\nfunction renderPage(snap: MapSnapshot): Response {\n // Inline the data rather than a second round trip; it is only a few KB.\n const json = JSON.stringify(snap).replace(/ s.day).length;\n const unrouted = snap.stops.length - routed;\n\n // Which orders this plan is actually considering, by their own due date.\n //\n // The demand window is cumulative rather than a slice of the week on screen,\n // so a plan for the 24th routinely carries orders due weeks earlier. Saying\n // so on the page saves the question \"does next week include this week's\n // work\" - and shows at a glance how far back the overdue tail runs.\n const dueDates = snap.stops.map((s) => s.closeDate).filter((d): d is string => !!d).sort();\n const overdue = dueDates.filter((d) => d < snap.today).length;\n // Two different ranges, and confusing them is easy. The queried range is what\n // was asked of Salesforce; the found range is the due dates that came back.\n // \"Oldest order is three days old\" and \"we only looked back three days\" read\n // identically from the stops alone, so both are printed.\n const queried = snap.windowStart\n ? `Close dates queried ${snap.windowStart} to ${snap.windowEnd}`\n : `Window ends ${snap.windowEnd}`;\n const dueRange = dueDates.length === 0\n ? `${queried} · nothing found.`\n : `${queried} · found ${dueDates[0]} to ${dueDates[dueDates.length - 1]}` +\n (overdue > 0 ? ` · ${overdue} already past due` : \"\") +\n `.`;\n const built = new Date(snap.generatedAt).toLocaleString(\"en-US\", {\n timeZone: \"America/New_York\",\n dateStyle: \"medium\",\n timeStyle: \"short\",\n });\n\n // What the warehouse loads on each truck, biggest line first.\n const esc = (v: string) => String(v).replace(/[&<>]/g, (c) => ({ \"&\": \"&\", \"<\": \"<\", \">\": \">\" }[c]!));\n const byId = new Map(snap.stops.map((s) => [s.id, s]));\n // Collapsed by default once there are enough trucks that an open list would\n // crowd out the map.\n const loadList = snap.routes.length === 0 ? \"\" : `\n

Load list - what goes on each truck

` +\n snap.routes\n .slice()\n .sort((a, b) => a.date === b.date ? a.vehicle - b.vehicle : (a.date < b.date ? -1 : 1))\n .map((r) => {\n const truckStops = r.stopIds.map((id) => byId.get(id)!).filter(Boolean);\n const totals = aggregateProducts(truckStops);\n const units = truckStops.reduce((a, s) => a + s.units, 0);\n return `

${esc(r.day)} ${r.date.slice(5)} · ${\n esc((snap.vehicleNames ?? [])[r.vehicle - 1] ?? `Vehicle ${r.vehicle}`)\n }\n ${truckStops.length} stops, ${units} units

\n ${\n totals.map((p) => ``).join(\"\")\n }

${p.qty}

${esc(p.name)}

`;\n }).join(\"\") +\n `

`;\n\n const failures = snap.geocodeFailures.length === 0 ? \"\" : `\n

${snap.geocodeFailures.length} stop(s) could not be geocoded - not on the map

${f.replace(/`).join(\"\")}

`;\n\n return html(`${PAGE_HEAD}\n

\n ${brand()}\n

Controls

\n \n \n

${\n Object.values(REGIONS).map((r) =>\n ``\n ).join(\"\")\n }

\n \n \n

\n \n \n \n

\n \n \n \n \n \n \n \n

\n ${snap.optimized === false ? `${snap.stops.length} stops · not routed` : `${snap.stops.length} stops mapped${unrouted ? ` · ${unrouted} unassigned` : \"\"}`}\n · built ${built} ET\n

\n \n

\n\n\n\n`);\n}\n\nexport default async function (req: Request): Promise {\n const url = new URL(req.url);\n const { pathname } = url;\n // Region travels in the query string; the client appends location.search to\n // every request, so it propagates without threading it through each call.\n const region = getRegion(url.searchParams.get(\"region\") ?? undefined);\n\n // Sign out - matters on a shared dispatcher machine, and the cookie is\n // HttpOnly so it cannot be cleared any other way.\n if (pathname === \"/logout\") {\n return new Response(null, {\n status: 302,\n headers: {\n \"Location\": \"/\",\n \"Set-Cookie\": `${COOKIE}=; Path=/; Max-Age=0; HttpOnly; Secure; SameSite=Lax`,\n },\n });\n }\n\n // The one endpoint that must be reachable before authentication.\n if (req.method === \"POST\" && pathname === \"/login\") {\n const expected = Deno.env.get(\"MAP_ACCESS_KEY\");\n const body = await req.json().catch(() => ({}));\n if (expected && typeof body.key === \"string\" && secretsMatch(body.key, expected)) {\n return Response.json({ ok: true }, {\n headers: {\n \"Set-Cookie\": `${COOKIE}=${encodeURIComponent(expected)}; Path=/; Max-Age=2592000; ` +\n `HttpOnly; Secure; SameSite=Lax`,\n },\n });\n }\n return Response.json({ ok: false }, { status: 401 });\n }\n\n // The OpenAPI spec is the one thing served without the key.\n //\n // Not a choice - a requirement. Salesforce's External Services fetches the\n // schema during REGISTRATION, before any operation runs, and that fetch does\n // not carry the External Credential's custom headers. Gating it returned 401\n // and registration failed with \"an error was encountered while trying to\n // retrieve the service schema\", which names neither the status nor the cause.\n //\n // Safe to leave open: the document describes one endpoint's shape and holds\n // no data and no secret, and /push-optimo itself is still gated. Anyone who\n // finds this URL learns that a push endpoint exists and nothing else.\n const gate: Gate = pathname === \"/openapi.json\" ? { ok: true } : checkAccess(req);\n if (!gate.ok) {\n if (req.method === \"POST\") {\n return Response.json({ ok: false, error: \"unauthorized\" }, { status: 401 });\n }\n return deniedPage(gate.reason);\n }\n\n if (req.method === \"POST\") {\n const body = await req.json().catch(() => ({}));\n try {\n // Act on the week the page is showing, not always this one.\n const postWeek = Number(url.searchParams.get(\"week\")) || 0;\n if (pathname === \"/move\") {\n const ids = Array.isArray(body.stopIds) ? body.stopIds : [body.stopId].filter(Boolean);\n return Response.json(\n await moveStops(region, ids, body.date, Number(body.vehicle), postWeek),\n );\n }\n if (pathname === \"/swap\") {\n const pick = (v: any) =>\n v && typeof v.date === \"string\" && Number.isFinite(Number(v.vehicle))\n ? { date: v.date as string, vehicle: Number(v.vehicle) }\n : null;\n const a = pick(body.a);\n const b = pick(body.b);\n if (!a || !b) {\n return Response.json({ ok: false, error: \"two routes are needed\" }, { status: 400 });\n }\n return Response.json(await swapRoutes(region, a, b, postWeek));\n }\n if (pathname === \"/remove-stop\") {\n if (typeof body.stopId !== \"string\" || !body.stopId) {\n return Response.json({ ok: false, error: \"no stop given\" }, { status: 400 });\n }\n return Response.json(await removeStop(region, body.stopId, postWeek));\n }\n if (pathname === \"/restore-removed\") {\n return Response.json(await restoreRemoved(region, postWeek));\n }\n if (pathname === \"/optimo\") {\n if (!Array.isArray(body.routes) || body.routes.length === 0) {\n return Response.json({ ok: false, error: \"no routes given\" }, { status: 400 });\n }\n const picks = body.routes\n .filter((r: any) => typeof r?.date === \"string\" && Number.isFinite(Number(r?.vehicle)))\n .map((r: any) => ({ date: r.date as string, vehicle: Number(r.vehicle) }));\n if (picks.length === 0) {\n return Response.json({ ok: false, error: \"no valid routes given\" }, { status: 400 });\n }\n return Response.json(await optimoSend(region, postWeek, picks));\n }\n if (pathname === \"/salesforce\") {\n const picks = (Array.isArray(body.routes) ? body.routes : [])\n .filter((r: any) => typeof r?.date === \"string\" && Number.isFinite(Number(r?.vehicle)))\n .map((r: any) => ({ date: r.date as string, vehicle: Number(r.vehicle) }));\n if (picks.length === 0) {\n return Response.json({ ok: false, error: \"no valid routes given\" }, { status: 400 });\n }\n return Response.json(\n await salesforceCommit(region, postWeek, picks, body.overwrite === true),\n );\n }\n // All regions, one date. Called by the Salesforce home-page button, so\n // it takes no region and defaults to tomorrow - the only two things a\n // dispatcher pressing it at the end of the day could mean.\n if (pathname === \"/push-optimo\") {\n const when = typeof body.date === \"string\" && /^\\d{4}-\\d{2}-\\d{2}$/.test(body.date)\n ? body.date\n : tomorrowEastern();\n const only = typeof body.routeName === \"string\" ? body.routeName : undefined;\n return Response.json(await pushCommittedToOptimo(when, only));\n }\n if (pathname === \"/lock\") {\n return Response.json(await setLocks(region, {\n stopIds: Array.isArray(body.stopIds) ? body.stopIds : undefined,\n date: typeof body.date === \"string\" ? body.date : undefined,\n locked: body.locked !== false,\n }));\n }\n // Queue a build instead of running it inline. A full-week build for a\n // large region takes ~68s and the HTTP request is killed before it can\n // finish, so this hands the job to worker.ts and returns immediately.\n if (pathname === \"/route-week\") {\n const weekOffset = Number(body.weekOffset) || 0;\n await clearUnlockedMoves(region);\n const job = await enqueueRoute(region.key, weekOffset);\n return Response.json({ ok: true, job });\n }\n if (pathname === \"/route-status\") {\n const weekOffset = Number(body.weekOffset) || 0;\n return Response.json({ ok: true, job: await readJob(region.key, weekOffset) });\n }\n if (pathname === \"/reoptimize\") {\n // Back to the clean machine plan: manual moves are discarded first, so\n // this always returns the original optimisation rather than re-packing\n // around whatever was dragged about since.\n await clearUnlockedMoves(region);\n const weekOffset = Number(body.weekOffset) || 0;\n // Only the current week owns the sheet. Looking at another week is a\n // preview, so it does not overwrite what the trucks are working from.\n const out = await buildDcRoutes({\n weekOffset,\n writeSheet: weekOffset === 0,\n region: region.key,\n // Next week is plotted, not routed, unless explicitly asked for.\n optimize: body.optimize !== false,\n });\n return Response.json({\n ok: true,\n stops: out.totalStops ?? 0,\n routes: (out.routes ?? []).length,\n days: out.scheduledDays ?? [],\n });\n }\n } catch (err) {\n // The raw error carries internal service URLs, so it goes to the logs\n // rather than to the browser.\n console.log(`POST ${pathname} failed: ${String(err)}`);\n return Response.json(\n { ok: false, error: \"The server hit a problem. Check the val logs and try again.\" },\n { status: 500 },\n );\n }\n return Response.json({ ok: false, error: \"unknown action\" }, { status: 404 });\n }\n\n // The OpenAPI description Salesforce registers this endpoint from.\n //\n // Served from here rather than pasted into Setup by hand, so it cannot drift\n // from the response this file actually returns. Salesforce registers against\n // it by relative URL on the Named Credential.\n //\n // Reachable without the key - see the note at the gate for why that is forced\n // rather than chosen.\n //\n // Kept to what External Services accepts, which is less than OpenAPI allows:\n // an operationId on every operation, no oneOf/anyOf/allOf, every property\n // typed, and - the one that actually bit - NO NESTED ARRAY OF OBJECTS. The\n // first version described `summary` as an array of per-region objects and\n // registration failed with \"an error was encountered while trying to retrieve\n // the service schema\", which says nothing about schemas being the problem.\n // Hence the flat shape here and the `summaryText` string alongside it.\n //\n // `servers` is spelled out even though the Named Credential supplies the host,\n // because the validator wants somewhere to resolve relative paths against.\n //\n // It names the tribeca-route-map.val.run subdomain, NOT the default\n // tribeca_rep--.web.val.run one. Salesforce Remote Site Settings refuses\n // to save a URL whose hostname contains an underscore (\"Unable to parse\n // URI\"), and registering an external service needs that remote site because\n // the schema fetch does not go through the Named Credential. Both hostnames\n // serve this same file; only the hyphenated one is usable from Salesforce.\n if (pathname === \"/openapi.json\") {\n return Response.json({\n openapi: \"3.0.0\",\n info: { title: \"Tribeca Route Push\", version: \"1.0.0\" },\n servers: [{ url: \"https://tribeca-route-map.val.run\" }],\n paths: {\n \"/push-optimo\": {\n get: {\n operationId: \"pushOptimo\",\n summary: \"Send committed Route Dates to OptimoRoute for every region\",\n parameters: [\n {\n name: \"date\",\n in: \"query\",\n required: false,\n description: \"Route Date to send, as YYYY-MM-DD. Omit for tomorrow, Eastern.\",\n schema: { type: \"string\" },\n },\n {\n name: \"routeName\",\n in: \"query\",\n required: false,\n description:\n \"Optional. One truck only, e.g. DC Van, Miami 2, SP, TPA. Omit to send every truck committed to that date.\",\n schema: { type: \"string\" },\n },\n ],\n responses: {\n \"200\": {\n description: \"What was sent\",\n content: {\n \"application/json\": {\n schema: {\n type: \"object\",\n properties: {\n ok: { type: \"boolean\" },\n date: { type: \"string\" },\n sent: { type: \"integer\" },\n error: { type: \"string\" },\n summaryText: { type: \"string\" },\n },\n },\n },\n },\n },\n },\n },\n },\n },\n });\n }\n\n // Same push, over GET. Flow's HTTP Callout does not offer POST in every org,\n // and this saves that being the thing that blocks the button. Still gated by\n // the same key, so nothing can reach it by wandering past.\n if (pathname === \"/push-optimo\") {\n const asked = url.searchParams.get(\"date\");\n const when = asked && /^\\d{4}-\\d{2}-\\d{2}$/.test(asked) ? asked : tomorrowEastern();\n return Response.json(\n await pushCommittedToOptimo(when, url.searchParams.get(\"routeName\") ?? undefined),\n );\n }\n\n // Today's route is built live from Salesforce rather than read from a stored\n // snapshot: it changes all day as drivers mark drops delivered, and a stale\n // view of what is on the truck right now is worse than none.\n if (url.searchParams.get(\"view\") === \"today\") {\n try {\n const page = renderTodayPage(await todaysStops(region.key));\n if (gate.setCookie) {\n const withCookie = new Response(page.body, page);\n withCookie.headers.append(\"Set-Cookie\", gate.setCookie);\n return withCookie;\n }\n return page;\n } catch (err) {\n console.log(`today view failed for ${region.key}: ${String(err)}`);\n return storageErrorPage();\n }\n }\n\n const week = Number(url.searchParams.get(\"week\")) || 0;\n\n let snap: MapSnapshot | undefined;\n try {\n snap = await readSnapshot(region, week);\n // Switching weeks is normally instant because each week keeps its own\n // stored plan. Only the very first visit to a week has to build one, and a\n // future week is plotted rather than routed so even that stays quick.\n if (!snap) {\n console.log(`No stored plan for ${region.key} week ${week}; building one`);\n await buildDcRoutes({\n region: region.key,\n weekOffset: week,\n optimize: week === 0,\n writeSheet: week === 0,\n });\n snap = await readSnapshot(region, week);\n }\n } catch {\n return storageErrorPage();\n }\n const page = (!snap || !snap.stops?.length) ? emptyPage() : renderPage(snap);\n\n // First visit with ?key=... - remember it so the key need not stay in the URL.\n if (gate.setCookie) {\n const withCookie = new Response(page.body, page);\n withCookie.headers.append(\"Set-Cookie\", gate.setCookie);\n return withCookie;\n }\n return page;\n}\n","tribeca-route-map",[176],"756aa529-73f2-46c1-8d8b-e813a6635f76","main.ts",1263,["D",1787260007294],432,"// Tribeca DC/MD/VA-area route builder.\n//\n// Pulls DC-metro Opportunities (DC, New DC, Maryland, New Maryland, Virginia,\n// New Virginia delivery regions) due through the upcoming Saturday, geocodes\n// each stop's address (US Census Geocoder, no API key), builds a real road\n// distance matrix (OSRM's public demo server, no API key), and greedily packs\n// stops into as few vehicle-routes as possible (100-unit capacity each,\n// nearest-neighbor from the Springfield, VA depot). Writes routes, unassigned\n// overflow, and geocode failures to the \"Dc Test\" Google Sheet.\n//\n// Scheduling rules:\n// - The delivery week runs from TOMORROW through the upcoming Saturday,\n// weekdays only (plus Saturday for regions with includeSaturday set).\n// Today is never scheduled - that truck is already loaded.\n// - Stops the previous run assigned to TODAY are read back out of the sheet\n// and excluded, so a mid-week rebuild never re-plans a route that is\n// already out being driven.\n\nimport { blob } from \"https://esm.town/v/std/blob/main.ts\";\n\n// ============================================================================\n// Regions\n// ============================================================================\n//\n// The org has 32 delivery regions; this val serves the ones configured here.\n// Everything region-specific lives in this table so adding another market is a\n// config entry, not a fork.\n//\n// vehicleCapacities is per vehicle, in order: index 0 is Vehicle 1. Trucks are\n// not necessarily the same size - Miami runs a 192-unit truck alongside a\n// 100-unit one.\n\nexport type Orientation = \"radial\" | \"east-west\" | \"north-south\" | \"zoned\";\n\nexport type Region = {\n key: string;\n label: string;\n salesforceRegions: string[];\n sheetTab: string;\n vehicleCapacities: number[];\n // No windowStart here any more: how far back to look is derived from the week\n // being planned, not configured. See OVERDUE_LOOKBACK_MONTHS.\n // Explicit depot address. When set it wins over the warehouse coordinates on\n // the Salesforce accounts, which are only accurate to the nearest depot.\n depotAddress?: string;\n // Allows Saturday as an OVERFLOW day. It is only added to the schedule when\n // the week's demand exceeds what Mon-Fri can carry, so a region under\n // capacity never puts a driver on the road for a sixth day. Miami trips this\n // most weeks (~722 units against 584 of Mon-Fri capacity); DC does not\n // (~180 against 400) and so stays on five days despite the flag being set.\n includeSaturday?: boolean;\n // Restricts the \"Today\" view to these Route Names. Exact match, so\n // \"Removed from route: TPA\" is excluded even though it contains \"TPA\".\n // Unset means show every route name the day happens to have.\n todayRoutes?: string[];\n // How stops are grouped into trucks.\n // radial - sweep by compass angle from the depot (the default)\n // east-west - stack latitude bands, so each route runs coast to inland\n // north-south- stack longitude columns, so each route runs up the coast\n // zoned - grow each driver a territory, filled to near capacity\n // A radial sweep fans wedges out from the depot, which in a long thin metro\n // like Miami produces routes that run the length of the strip. Banding gives\n // compact routes with a consistent orientation instead.\n //\n // Both of those partition space EVENLY, which is wrong wherever the region\n // has a hole in it: Orlando sits 170km from the Tampa depot with nothing in\n // between, yet lands in the same wedge as north Tampa. Zoning grows each\n // driver a compact territory instead, adding whichever stop lengthens their\n // day's path least until the truck is near full.\n routeOrientation?: Orientation;\n // Hard ceiling on stops per truck per day, whatever the units add up to.\n // A 43-stop day is not a real day's work even when it fits the cube.\n maxStopsPerRoute?: number;\n // Front-loads the week. 0 packs every day equally; 0.4 aims the last day of\n // the week at 60% of the first day's capacity, leaving room later in the week\n // for call-ins and new customers that land after the plan is built.\n //\n // It is a target, not a limit: if honouring it would push stops off the\n // schedule entirely the build relaxes it step by step until everything fits.\n frontLoadFactor?: number;\n // Use as few truck-days as the work actually needs, earliest days first.\n //\n // The default spreads the week's stops across every available truck-day, which\n // keeps each day short but sends a van out five days running. This packs\n // instead: fill Monday's trucks, then Tuesday's, and stop as soon as the book\n // fits. Fewer routes, and the back of the week stays clear for call-ins.\n //\n // Supersedes frontLoadFactor where set - the front-loading comes from which\n // days get used at all, so capping the later days as well would only make the\n // trucks that do go out emptier.\n minimiseRoutes?: boolean;\n // How many of vehicleCapacities are trucks the company actually owns. The\n // rest are hired in and cost money per day, so they are used only when the\n // owned fleet genuinely cannot carry the week - after every owned truck-day\n // has been filled, and after Saturday has been opened. Defaults to all.\n ownedVehicles?: number;\n // What dispatch calls each truck, positionally matching vehicleCapacities.\n // \"v1\"/\"v2\" mean nothing to a driver or to OptimoRoute; these are the names\n // the routes actually go out under.\n vehicleNames?: string[];\n};\n\nexport const REGIONS: Record = {\n dc: {\n key: \"dc\",\n label: \"DC / MD / VA\",\n salesforceRegions: [\"DC\", \"New DC\", \"Maryland\", \"New Maryland\", \"Virginia\", \"New Virginia\"],\n sheetTab: \"Sheet1\",\n vehicleCapacities: [100, 100],\n // These strings are the driver SERIAL in OptimoRoute, not display labels -\n // \"DC Van\" and \"DC Van-2\" are real drivers there. Renaming either one\n // silently unassigns every order sent for it, so they must match exactly.\n // DC Van-2 is hired in by the day; ownedVehicles below is what marks it as\n // a last resort rather than half the fleet.\n vehicleNames: [\"DC Van\", \"DC Van-2\"],\n ownedVehicles: 1,\n includeSaturday: true,\n // Same territory-growing as Florida. The DMV has the same shape of problem:\n // a dense core with outlying work (Baltimore, the Eastern Shore) that a\n // radial sweep folds into whichever wedge it happens to fall in.\n //\n routeOrientation: \"zoned\",\n // DC only half-fills its fleet - ~513 units against 1000 - so spreading the\n // week put a van on the road five days running, twice for a single stop.\n // Pack it instead: fewest truck-days the book needs, earliest days first,\n // and the rest of the week stays clear.\n minimiseRoutes: true,\n },\n miami: {\n key: \"miami\",\n label: \"Miami\",\n salesforceRegions: [\"Miami\", \"New Miami\"],\n sheetTab: \"Miami\",\n // Order matters: it lines up with vehicleNames below. \"Miami 2\" is the\n // 192-unit truck, \"Miami Van\" the 100 - not the other way round.\n vehicleCapacities: [192, 100],\n vehicleNames: [\"Miami 2\", \"Miami Van\"],\n depotAddress: \"1661 N Dixie Hwy #6, Pompano Beach, FL 33060\",\n includeSaturday: true,\n // South Florida is a ~100 mile north-south strip only ~20 miles deep, with\n // the depot in the middle of it. A radial sweep hands each truck a long run\n // up or down the coast; east-west banding gave each a horizontal slice\n // instead. Zoning supersedes both - it finds the clumps the strip actually\n // has rather than cutting it into equal slices, and the band orientation\n // stops being something to configure.\n routeOrientation: \"zoned\",\n },\n // Despite the name this is Tampa Bay, not the whole state - Tampa, St. Pete,\n // Largo, Seminole, with a tail up to Spring Hill and down to Sarasota. It is\n // a separate Delivery_Region__c value from Miami and does not overlap it.\n florida: {\n key: \"florida\",\n label: \"Florida\",\n salesforceRegions: [\"Florida\"],\n sheetTab: \"Florida\",\n vehicleCapacities: [100, 100],\n vehicleNames: [\"SP\", \"TPA\"],\n depotAddress: \"6531 43rd St N #1608, Pinellas Park, FL 33781\",\n includeSaturday: true,\n // Tampa Bay is not one blob. Orlando sits 170km east with nothing between,\n // and a sweep put it in the same wedge as north Tampa - one truck-day with\n // a 171km leg in the middle of it. Zoning gives each driver a territory\n // instead, so the far book costs one run out and back rather than four.\n routeOrientation: \"zoned\",\n // Monday heavy, Saturday light - achieved by which zone goes on which day,\n // not by capping the later days.\n //\n // The taper is the wrong lever here. Tapering by t leaves 200 * (6 - 3t)\n // units of capacity and Florida carries ~1078, so even t = 0.15 runs the\n // fleet at 97% - and at that point every stop has exactly one possible home,\n // geography stops mattering, and 28% of stops end up nearer another truck\n // than their own. Zones need slack.\n //\n // Left flat, the fleet runs at 90% and the heaviest zone is simply assigned\n // to the earliest slot, which gives the same shape for free: measured on the\n // week of 2026-08-17, 193 units Monday declining to 139 on Saturday, with\n // interleave at 14% instead of 28%.\n frontLoadFactor: 0,\n // The two real trucks. Everything else the day picks up - unnamed routes\n // and \"Removed from route: ...\" records - is noise on this view.\n todayRoutes: [\"SP\", \"TPA\"],\n },\n};\n\nexport const getRegion = (key?: string): Region => REGIONS[key ?? \"dc\"] ?? REGIONS.dc;\n\n// Blob keys are namespaced per region. DC keeps the original unprefixed keys so\n// its existing snapshot, locks and dispatch ledger survive this change - losing\n// the ledger would silently re-break the \"already out on today's truck\" check.\nconst scoped = (base: string, region: Region) => region.key === \"dc\" ? base : `${base}:${region.key}`;\n\n// Same rule, for callers that only have the region key (map.ts).\nexport const blobKeyFor = (base: string, regionKey: string) =>\n regionKey === \"dc\" ? base : `${base}:${regionKey}`;\n\n// Snapshots are stored per region AND per week, so switching weeks is a page\n// load rather than a rebuild. Week 0 keeps the pre-existing key shape so no\n// stored plan is orphaned by this change.\nexport const snapshotKeyFor = (regionKey: string, weekOffset: number) =>\n weekOffset === 0\n ? blobKeyFor(SNAPSHOT_KEY_BASE, regionKey)\n : `${SNAPSHOT_KEY_BASE}:${regionKey}:w${weekOffset}`;\n\n// ============================================================================\n// Map snapshot\n// ============================================================================\n//\n// map.ts renders whatever the last build produced, so the expensive work\n// (Salesforce + geocoding + OSRM) happens here once rather than on every page\n// load. Stored val-scoped.\n\nconst SNAPSHOT_KEY_BASE = \"route-snapshot\";\nexport const SNAPSHOT_KEY = SNAPSHOT_KEY_BASE;\n\nexport type MapSnapshot = {\n generatedAt: string;\n region?: string;\n regionLabel?: string;\n vehicleCapacities?: number[];\n // false when the stops were plotted but deliberately not routed.\n optimized?: boolean;\n today: string;\n // The close-date range the Salesforce query actually asked for - not the\n // range of what came back. Worth showing separately: \"oldest order found is\n // three days old\" and \"we only looked back three days\" mean opposite things,\n // and the map cannot tell them apart from the stops alone.\n windowStart?: string;\n windowEnd: string;\n weekOffset: number; // 0 = rest of this week, 1 = next week\n depot: { lat: number; lon: number };\n // Positional, matching vehicle 1..n, so the map can show \"Miami 2\" instead\n // of \"v1\". Absent on snapshots built before names existed.\n vehicleNames?: string[];\n days: { day: string; date: string }[];\n stops: {\n id: string;\n name: string;\n account: string;\n address: string;\n units: number;\n products: { qty: number; name: string }[];\n truckType: string | null;\n // Optional: snapshots built before these were carried through will not\n // have them, and the map falls back to hiding the line.\n closeDate?: string | null;\n createdDate?: string | null;\n // Carried purely so the OptimoRoute payload matches what the Cloud Run\n // bridge sends. Optional: older snapshots predate them.\n bottles?: number;\n springBottles?: number;\n waterType?: string | null;\n apt?: string | null;\n phone?: string | null;\n email?: string | null;\n orderSummary?: string | null;\n allowedDaysRaw?: string | null;\n precision: \"exact\" | \"approx\";\n locked: boolean;\n // Why a padlock is showing, when it is one of these rather than a hand-set\n // lock: the Route Date the stop is committed to in Salesforce, and whether\n // the customer has been texted it. Optional - snapshots built before these\n // existed have neither, and the map treats their absence as \"unknown\"\n // rather than \"no\".\n pinnedDate?: string | null;\n smsSent?: boolean;\n // Stamped by the map when \"Set route date in Salesforce\" writes this stop,\n // so the padlock and the popup can say so immediately rather than waiting\n // for the next rebuild to read Route Date back. replacedRouteDate is set\n // only where the commit overwrote a different date that was already there.\n committedAt?: string;\n committedRoute?: string;\n replacedRouteDate?: string;\n lat: number;\n lon: number;\n // null on stops that were geocoded but never made it onto a truck.\n day: string | null;\n date: string | null;\n vehicle: number | null;\n seq: number | null;\n }[];\n routes: { day: string; date: string; vehicle: number; stopIds: string[] }[];\n geocodeFailures: string[];\n};\n\n// ============================================================================\n// Google Sheets auth (verified working against DC_ROUTE_SHEET_ID)\n// ============================================================================\n\nfunction base64url(bytes: ArrayBuffer | Uint8Array): string {\n const arr = bytes instanceof Uint8Array ? bytes : new Uint8Array(bytes);\n let str = \"\";\n for (const b of arr) str += String.fromCharCode(b);\n return btoa(str).replace(/\\+/g, \"-\").replace(/\\//g, \"_\").replace(/=+$/, \"\");\n}\n\nexport async function getAccessToken(): Promise {\n const clientEmail = Deno.env.get(\"GOOGLE_SERVICE_ACCOUNT_EMAIL\")!;\n const privateKeyPem = Deno.env.get(\"GOOGLE_SERVICE_ACCOUNT_PRIVATE_KEY\")!;\n\n const pemBody = privateKeyPem\n .replace(\"-----BEGIN PRIVATE KEY-----\", \"\")\n .replace(\"-----END PRIVATE KEY-----\", \"\")\n .replace(/\\s/g, \"\");\n const keyData = Uint8Array.from(atob(pemBody), (c) => c.charCodeAt(0));\n\n const cryptoKey = await crypto.subtle.importKey(\n \"pkcs8\",\n keyData,\n { name: \"RSASSA-PKCS1-v1_5\", hash: \"SHA-256\" },\n false,\n [\"sign\"],\n );\n\n const now = Math.floor(Date.now() / 1000);\n const header = { alg: \"RS256\", typ: \"JWT\" };\n const claims = {\n iss: clientEmail,\n scope: \"https://www.googleapis.com/auth/spreadsheets\",\n aud: \"https://oauth2.googleapis.com/token\",\n iat: now,\n exp: now + 3600,\n };\n\n const encoder = new TextEncoder();\n const signingInput = `${base64url(encoder.encode(JSON.stringify(header)))}.${\n base64url(encoder.encode(JSON.stringify(claims)))\n }`;\n const signature = await crypto.subtle.sign(\n \"RSASSA-PKCS1-v1_5\",\n cryptoKey,\n encoder.encode(signingInput),\n );\n const jwt = `${signingInput}.${base64url(signature)}`;\n\n const tokenRes = await fetch(\"https://oauth2.googleapis.com/token\", {\n method: \"POST\",\n headers: { \"Content-Type\": \"application/x-www-form-urlencoded\" },\n body: new URLSearchParams({\n grant_type: \"urn:ietf:params:oauth:grant-type:jwt-bearer\",\n assertion: jwt,\n }),\n });\n const tokenBody = await tokenRes.json();\n if (!tokenRes.ok) {\n throw new Error(`Token exchange failed: ${tokenRes.status} ${JSON.stringify(tokenBody)}`);\n }\n return tokenBody.access_token;\n}\n\n// ============================================================================\n// Salesforce query (via the tribeca-salesforce-agent proxy val)\n// ============================================================================\n\nexport async function sfQuery(soql: string): Promise {\n const url = Deno.env.get(\"SALESFORCE_AGENT_URL\")!;\n const key = Deno.env.get(\"SALESFORCE_AGENT_KEY\")!;\n const res = await fetch(`${url}?key=${encodeURIComponent(key)}&q=${encodeURIComponent(soql)}`);\n const data = await res.json().catch(() => ({}));\n if (!res.ok || data?.error) {\n throw new Error(`SOQL query failed: ${res.status} ${JSON.stringify(data)}`);\n }\n return data.records ?? [];\n}\n\n// Write a field set back to Salesforce, 200 records per call.\n//\n// The proxy enforces its own allow-list, so a typo in a field name comes back\n// as a 400 rather than writing something unexpected. Per-record verdicts are\n// passed through untouched: with allOrNone off, a validation rule can reject\n// three opportunities while the other 197 commit, and the caller needs to be\n// able to say which three rather than \"some of it worked\".\nexport async function sfUpdateMany(\n sobject: string,\n records: { id: string; fields: Record }[],\n): Promise<{ id: string; success: boolean; errors: unknown[] }[]> {\n const url = Deno.env.get(\"SALESFORCE_AGENT_URL\")!;\n const key = Deno.env.get(\"SALESFORCE_AGENT_KEY\")!;\n const out: { id: string; success: boolean; errors: unknown[] }[] = [];\n\n for (let i = 0; i < records.length; i += 200) {\n const chunk = records.slice(i, i + 200);\n const res = await fetch(`${url}?key=${encodeURIComponent(key)}`, {\n method: \"POST\",\n headers: { \"Content-Type\": \"application/json\" },\n body: JSON.stringify({ sobject, records: chunk }),\n });\n const data = await res.json().catch(() => ({}));\n if (!res.ok || data?.error) {\n throw new Error(`Salesforce update failed: ${res.status} ${JSON.stringify(data)}`);\n }\n out.push(...(data.results ?? []));\n }\n return out;\n}\n\n// ============================================================================\n// Dates\n// ============================================================================\n//\n// All date math is done in Eastern time on plain \"YYYY-MM-DD\" strings. Val\n// Town runs in UTC, so a naive Date() would roll the day forward after 8pm ET\n// and shift the whole schedule by one day.\n\nconst DAY_NAMES = [\"Sunday\", \"Monday\", \"Tuesday\", \"Wednesday\", \"Thursday\", \"Friday\", \"Saturday\"];\n\nexport function todayEastern(): string {\n return new Intl.DateTimeFormat(\"en-CA\", {\n timeZone: \"America/New_York\",\n year: \"numeric\",\n month: \"2-digit\",\n day: \"2-digit\",\n }).format(new Date());\n}\n\n// Noon UTC keeps the arithmetic clear of any DST/offset edges.\nconst parseDate = (iso: string) => new Date(`${iso}T12:00:00Z`);\nexport const addDays = (iso: string, n: number) => {\n const d = parseDate(iso);\n d.setUTCDate(d.getUTCDate() + n);\n return d.toISOString().slice(0, 10);\n};\nconst dayOfWeek = (iso: string) => parseDate(iso).getUTCDay();\nconst dayName = (iso: string) => DAY_NAMES[dayOfWeek(iso)];\nconst isWeekday = (iso: string) => dayOfWeek(iso) >= 1 && dayOfWeek(iso) <= 5;\n\n// End of the delivery window: the upcoming Saturday (today, if today is one).\nfunction upcomingSaturday(today: string): string {\n return addDays(today, (6 - dayOfWeek(today) + 7) % 7);\n}\n\n// Every delivery day still open in the week closing on `saturday`, counting\n// from tomorrow. Today is deliberately excluded: anything dated today is\n// already out on a truck.\n//\n// Returns empty once the week's last weekday has gone - Friday evening\n// onwards. The caller decides what that means rather than this quietly rolling\n// forward on its own, because \"which week are we planning\" has to be one\n// answer shared by the day list, the demand window and the week tabs.\nfunction remainingDeliveryDays(today: string, saturday: string): { day: string; date: string }[] {\n const days: { day: string; date: string }[] = [];\n for (let d = addDays(today, 1); d <= saturday; d = addDays(d, 1)) {\n if (isWeekday(d)) days.push({ day: dayName(d), date: d });\n }\n return days;\n}\n\n// How far back the current week looks for orders that were never delivered.\n// Rolling, not a fixed date: a hardcoded start silently widens for ever, so by\n// winter a \"three month\" window would have been reaching back six.\nconst OVERDUE_LOOKBACK_MONTHS = 3;\n\n// The same day-of-month N months earlier, clamped to the end of a short month\n// so three months before 31 May is 28 February rather than a date that does not\n// exist.\nfunction monthsBefore(iso: string, months: number): string {\n const [y, m, d] = iso.split(\"-\").map(Number);\n let year = y;\n let month = m - months;\n while (month <= 0) {\n month += 12;\n year -= 1;\n }\n const lastOfMonth = new Date(Date.UTC(year, month, 0)).getUTCDate();\n const day = Math.min(d, lastOfMonth);\n return `${year}-${String(month).padStart(2, \"0\")}-${String(day).padStart(2, \"0\")}`;\n}\n\n// The Sunday that opens the week closing on the given Saturday.\nconst weekStartFor = (saturday: string) => addDays(saturday, -6);\n\n// Monday to Friday of the week that closes on the given Saturday. The delivery\n// week runs Sunday to Saturday, so those are the five days before it.\nfunction weekdaysEnding(saturday: string): { day: string; date: string }[] {\n const days: { day: string; date: string }[] = [];\n for (let back = 5; back >= 1; back--) {\n const d = addDays(saturday, -back);\n days.push({ day: dayName(d), date: d });\n }\n return days;\n}\n\n// The Saturday that closes out a run of weekdays. Walks forward rather than\n// assuming the list ends on a Friday, since a mid-week rebuild can hand back\n// a single day.\nfunction saturdayAfter(days: { day: string; date: string }[]): { day: string; date: string } {\n let d = days[days.length - 1].date;\n do { d = addDays(d, 1); } while (dayOfWeek(d) !== 6);\n return { day: dayName(d), date: d };\n}\n\n// Route Date carries sentinel values (2000-01-01, 2001-01-01) on records pulled\n// off a route - the route name literally reads \"Removed from route\". Those mean\n// \"no route\", not \"delivered in the year 2000\".\nconst ROUTE_DATE_FLOOR = \"2020-01-01\";\n\n// Route Date is what dispatch schedules on; CloseDate is only the fallback for\n// records not yet on a route. Windowing the query on CloseDate alone therefore\n// misses anything routed for a date its CloseDate does not agree with - and in\n// this org the two disagree on ~92% of scheduled records. Harmless when the\n// window is a whole week, fatal when it is a single day.\nconst dueBy = (endDate: string) =>\n `((Route_Date__c >= ${ROUTE_DATE_FLOOR} AND Route_Date__c <= ${endDate})` +\n ` OR ((Route_Date__c = null OR Route_Date__c < ${ROUTE_DATE_FLOOR}) AND CloseDate <= ${endDate}))`;\n\n// How much deliverable work is already sitting on one specific date. Used to\n// decide whether an imminent Saturday is worth scheduling.\nasync function countDueOn(region: Region, date: string): Promise {\n const rows = await sfQuery(\n `SELECT Id FROM Opportunity\n WHERE Delivery_Region__c IN (${region.salesforceRegions.map((r) => `'${r}'`).join(\",\")})\n AND StageName = 'Delivery Due'\n AND (Route_Date__c = ${date} OR (Route_Date__c = null AND CloseDate = ${date}))`\n .replace(/\\s+/g, \" \").trim(),\n );\n return rows.length;\n}\n\n// ============================================================================\n// Geocoding (US Census Geocoder - no API key)\n// ============================================================================\n\n// Full_Address__c mixes the mailing address with driver notes, all in one\n// string: \"4598 Yorktown Rd, Joint Base Andrews, MD 20762, CALL BRADEN FOR\n// ENTRY\". A real address ends at the ZIP, and the Census geocoder fails\n// outright when it has to parse the trailing note. So try progressively\n// cleaner forms and take the first that resolves.\n// The ZIP, anchored on \" \" so a 5-digit house number can never be\n// mistaken for one. Getting this wrong is not a small error: taking the first\n// 5-digit group in \"11150 Thomasson Barn Rd, Manassas, VA 20109\" yields 11150,\n// whose centroid is in Seattle.\nexport function zipOf(raw: string): string | null {\n const anchored = [...raw.matchAll(/\\b[A-Za-z]{2}\\.?\\s+(\\d{5})(?:-\\d{4})?\\b/g)];\n if (anchored.length) return anchored[anchored.length - 1][1];\n const bare = [...raw.matchAll(/\\b(\\d{5})(?:-\\d{4})?\\b/g)];\n return bare.length ? bare[bare.length - 1][1] : null;\n}\n\nexport function addressCandidates(raw: string): string[] {\n const out: string[] = [];\n const add = (s: string) => {\n const t = s.trim().replace(/[\\s,]+$/, \"\");\n if (t && !out.includes(t)) out.push(t);\n };\n\n // Cut at the ZIP, using the same state-anchored match as zipOf.\n const anchored = [...raw.matchAll(/\\b[A-Za-z]{2}\\.?\\s+\\d{5}(?:-\\d{4})?\\b/g)];\n const bare = [...raw.matchAll(/\\b\\d{5}(?:-\\d{4})?\\b/g)];\n const hit = anchored.length ? anchored[anchored.length - 1] : bare[bare.length - 1];\n const truncated = hit ? raw.slice(0, hit.index! + hit[0].length) : null;\n\n // Some records put \"DC\" in the city slot (\"4800 Foxhall Crescent NW, DC, DC\n // 20007\"), which the geocoder will not match.\n const fixCity = (s: string) => s.replace(/,\\s*(?:DC|D\\.C\\.)\\s*,\\s*DC\\b/i, \", Washington, DC\");\n\n // Raw first, so an address that already resolves is untouched and the\n // \"rescued by cleanup\" log genuinely means the raw form failed.\n add(raw);\n if (truncated) add(truncated);\n add(fixCity(raw));\n if (truncated) add(fixCity(truncated));\n return out;\n}\n\nasync function geocodeOnce(address: string): Promise<{ lat: number; lon: number } | null> {\n const url = `https://geocoding.geo.census.gov/geocoder/locations/onelineaddress?address=${\n encodeURIComponent(address)\n }&benchmark=Public_AR_Current&format=json`;\n const res = await fetch(url);\n if (!res.ok) return null;\n const body = await res.json().catch(() => null);\n const match = body?.result?.addressMatches?.[0];\n if (!match) return null;\n return { lat: Number(match.coordinates.y), lon: Number(match.coordinates.x) };\n}\n\n// ---------------------------------------------------------------------------\n// Second-tier geocoder: OpenStreetMap / Nominatim\n// ---------------------------------------------------------------------------\n//\n// The Census database has no record of some real addresses - military bases,\n// newer commercial parks, private lanes. OSM usually does (and it is the same\n// data OSRM routes on). Its usage policy caps us at 1 request/second, so calls\n// are funnelled through a queue even though the callers run in parallel. This\n// only ever runs for addresses the Census geocoder has already failed on, so\n// it costs a handful of seconds per build, not one per stop.\n\nconst NOMINATIM_UA =\n \"TribecaRouteBuilder/1.0 (internal delivery routing; contact info@tribecabeverage.com)\";\n\nlet nominatimQueue: Promise = Promise.resolve();\nfunction queued(fn: () => Promise): Promise {\n const run = nominatimQueue.then(fn, fn);\n nominatimQueue = run.then(() => sleep(1100), () => sleep(1100));\n return run;\n}\n\nasync function nominatimOnce(query: string): Promise<{ lat: number; lon: number } | null> {\n return await queued(async () => {\n const url = `https://nominatim.openstreetmap.org/search?q=${encodeURIComponent(query)}` +\n `&format=json&limit=1&countrycodes=us`;\n const res = await fetch(url, {\n headers: { \"User-Agent\": NOMINATIM_UA, \"Accept-Language\": \"en\" },\n });\n if (!res.ok) return null;\n const body = await res.json().catch(() => []);\n if (!Array.isArray(body) || body.length === 0) return null;\n return { lat: Number(body[0].lat), lon: Number(body[0].lon) };\n });\n}\n\nexport type GeocodeResult = {\n lat: number;\n lon: number;\n used: string;\n // \"exact\" = a real address match. \"approx\" = only the ZIP centroid resolved,\n // so the pin is in the right neighbourhood but not at the door.\n precision: \"exact\" | \"approx\";\n source: \"census\" | \"osm\" | \"zip\";\n};\n\n// ---------------------------------------------------------------------------\n// Geocode cache\n// ---------------------------------------------------------------------------\n//\n// Addresses barely change between runs, and the OSM tier is capped at one\n// request per second - without a cache, a week with a dozen hard addresses\n// spends over a minute geocoding and blows the HTTP request limit. Results are\n// keyed by the raw address string and reused forever, so each address is\n// looked up once ever, not once per build.\n\nexport const GEOCACHE_KEY = \"geocode-cache\";\nexport type GeoCache = Record & { used: string }>;\n\nexport async function loadGeoCache(): Promise {\n return (await blob.getJSON(GEOCACHE_KEY) as GeoCache | undefined) ?? {};\n}\n\nasync function geocodeAddress(raw: string, cache: GeoCache): Promise {\n const key = raw.trim();\n const cached = cache[key];\n if (cached) return cached;\n\n const candidates = addressCandidates(raw);\n let result: GeocodeResult | null = null;\n\n // 1. Census - authoritative for US street addresses, and free of rate limits.\n for (const candidate of candidates) {\n const hit = await geocodeOnce(candidate);\n if (hit) {\n result = { ...hit, used: candidate, precision: \"exact\", source: \"census\" };\n break;\n }\n }\n\n // 2. OSM - catches what the Census file is missing. Only the two most\n // promising forms are tried; each costs a second of wall clock.\n if (!result) {\n for (const candidate of candidates.slice(0, 2)) {\n const hit = await nominatimOnce(candidate);\n if (hit) {\n result = { ...hit, used: candidate, precision: \"exact\", source: \"osm\" };\n break;\n }\n }\n }\n\n // 3. ZIP centroid - never leaves a stop off the map entirely, but is flagged\n // everywhere it surfaces so nobody drives to it expecting a door.\n if (!result) {\n const zip = zipOf(raw);\n if (zip) {\n const hit = await nominatimOnce(`${zip}, USA`);\n if (hit) result = { ...hit, used: `ZIP ${zip}`, precision: \"approx\", source: \"zip\" };\n }\n }\n\n if (result) cache[key] = result;\n return result;\n}\n\n// ============================================================================\n// Distance matrix (OSRM public demo server - no API key)\n// ============================================================================\n//\n// The public demo server caps table requests at ~100 total coordinates, and\n// a full week of DC/MD/VA stops can exceed that. So the matrix is built in\n// row x column chunks (depot + stops as rows, stops as columns - we never\n// need a distance back to the depot) and stitched into one full matrix.\n\nconst OSRM_CHUNK_SIZE = 45; // keeps rowChunk + colChunk comfortably under 100\n\nfunction chunkWithIndex(arr: T[], size: number): { item: T; i: number }[][] {\n const indexed = arr.map((item, i) => ({ item, i }));\n const out: { item: T; i: number }[][] = [];\n for (let i = 0; i < indexed.length; i += size) out.push(indexed.slice(i, i + size));\n return out;\n}\n\n// The demo server intermittently refuses connections outright (the fetch\n// throws \"unsuccessful tunnel\" rather than returning a status), so every\n// chunk gets a few attempts with backoff. Without this a single blip\n// anywhere in the matrix aborts the whole build.\nconst OSRM_ATTEMPTS = 4;\nconst OSRM_MIN_INTERVAL_MS = 1100; // the public server's terms allow 1 req/sec\nconst sleep = (ms: number) => new Promise((r) => setTimeout(r, ms));\n\nasync function osrmTableChunk(\n rowPoints: { lat: number; lon: number }[],\n colPoints: { lat: number; lon: number }[],\n): Promise {\n const all = [...rowPoints, ...colPoints];\n const coords = all.map((p) => `${p.lon},${p.lat}`).join(\";\");\n const sources = rowPoints.map((_, i) => i).join(\";\");\n const destinations = colPoints.map((_, i) => rowPoints.length + i).join(\";\");\n const url = `https://router.project-osrm.org/table/v1/driving/${coords}` +\n `?annotations=distance&sources=${sources}&destinations=${destinations}`;\n\n let lastError = \"\";\n for (let attempt = 1; attempt <= OSRM_ATTEMPTS; attempt++) {\n if (attempt > 1) await sleep(500 * 2 ** (attempt - 2)); // 0.5s, 1s, 2s\n\n try {\n const res = await fetch(url, {\n headers: { \"User-Agent\": \"TribecaRouteBuilder/1.0 (internal ops tool)\" },\n });\n if (!res.ok) {\n lastError = `${res.status} ${(await res.text().catch(() => \"\")).slice(0, 200)}`;\n continue;\n }\n const body = await res.json();\n if (body.code !== \"Ok\") {\n lastError = JSON.stringify(body).slice(0, 200);\n continue;\n }\n if (attempt > 1) console.log(`OSRM chunk succeeded on attempt ${attempt}`);\n return body.distances as number[][];\n } catch (err) {\n lastError = String(err).slice(0, 200); // connection refused / tunnel failure\n }\n }\n\n throw new Error(`OSRM table request failed after ${OSRM_ATTEMPTS} attempts: ${lastError}`);\n}\n\n// Square matrix over [depot, ...stops]: index 0 is the depot, index s+1 is\n// stops[s], in both dimensions. The depot column exists because routes return\n// to it - a driver finishing far from the yard still has to drive home, and\n// leaving that leg out let the optimiser end routes anywhere for free.\n// Road distance between two fixed points does not change, and the same\n// customers recur week after week - so the expensive part is worth keeping.\n//\n// Measured 2026-08-12 before this existed: a 302-stop build spent 65.9s in this\n// function and 0.0s actually packing routes. Requests scale as (n/45)^2 and\n// each one waits 1.1s for the public server's rate limit, so 302 stops meant 49\n// requests and 52.8s of pure sleeping. With the cache warm, a block whose pairs\n// are all known is skipped outright - no request, no sleep.\nconst DISTANCE_CACHE_PREFIX = \"distance-cache\";\n\n// Roughly a metre of precision. Coordinates come from the geocode cache or\n// Salesforce and are stable, so this only guards against float drift.\nconst coordKey = (p: { lat: number; lon: number }) => `${p.lat.toFixed(5)},${p.lon.toFixed(5)}`;\n\n// A full week for a large region is ~91k pairs. Past this the blob is pruned\n// back to just the pairs this build used, which keeps it bounded without\n// tracking per-entry timestamps.\nconst MAX_CACHE_ENTRIES = 400_000;\n\n// Defaults for every region unless it overrides them. A truck-day is capped at\n// 30 stops however small the orders are, and the week is packed front-heavy so\n// the later days keep room for work that has not been booked yet.\nconst DEFAULT_MAX_STOPS_PER_ROUTE = 30;\nconst DEFAULT_FRONT_LOAD = 0.4;\n\n// How far a stored account coordinate may sit from that account's own closest\n// warehouse before it is treated as bad data. Some accounts carry coordinates\n// from another region entirely; routing to those is worse than geocoding.\nconst MAX_KM_FROM_WAREHOUSE = 300;\n\n// Two groups of stops closer than this are treated as the same place whatever\n// their own spread says, so a handful of drops in one suburb still merge onto\n// one truck rather than being called separate territories.\nconst MIN_MERGE_GAP_KM = 15;\n\n// Straight-line kilometres between two stops. Rough by design - it is used for\n// \"are these the same part of town\", not for routing, where the OSRM matrix\n// gives real road distance.\nfunction apartKm(a: { lat: number; lon: number }, b: { lat: number; lon: number }) {\n return Math.hypot((a.lat - b.lat) * 111, (a.lon - b.lon) * 98 * Math.cos(a.lat * Math.PI / 180) / 0.98);\n}\n\n// Banding splits the region into one horizontal slice per truck-day, so the\n// slices are only compact when there are enough of them. Measured on Miami:\n// 6 truck-days gave 35km bands, but 2 truck-days gave each truck ~130km of a\n// 150km strip - two trucks running the whole coast past each other. Below this\n// many truck-days a radial sweep from the depot gives each truck a tighter\n// sector, so that is used instead whatever the region asks for.\nconst MIN_SLOTS_FOR_BANDING = 4;\n\nexport async function getDistanceMatrix(\n depot: { lat: number; lon: number },\n stops: { lat: number; lon: number }[],\n regionKey?: string,\n): Promise {\n const points = [depot, ...stops];\n const keys = points.map(coordKey);\n const rowChunks = chunkWithIndex(points, OSRM_CHUNK_SIZE);\n const colChunks = chunkWithIndex(points, OSRM_CHUNK_SIZE);\n\n const matrix: number[][] = points.map(() => new Array(points.length).fill(Infinity));\n for (let i = 0; i < points.length; i++) matrix[i][i] = 0;\n\n const cacheKey = regionKey ? blobKeyFor(DISTANCE_CACHE_PREFIX, regionKey) : null;\n const cache: Record = cacheKey\n ? ((await blob.getJSON(cacheKey).catch(() => null)) as Record) ?? {}\n : {};\n const cacheSizeBefore = Object.keys(cache).length;\n\n // Directional on purpose: one-way streets make A->B and B->A different, and\n // the matrix is used directionally.\n let hits = 0;\n if (cacheKey) {\n for (let i = 0; i < points.length; i++) {\n for (let j = 0; j < points.length; j++) {\n if (i === j) continue;\n const v = cache[`${keys[i]}|${keys[j]}`];\n if (typeof v === \"number\") {\n matrix[i][j] = v;\n hits++;\n }\n }\n }\n }\n\n // Sequential, one request per second. The public OSRM server's terms cap it\n // at 1 req/sec, and firing the chunks concurrently (which is what this used\n // to do) is the likely cause of the \"unsuccessful tunnel\" failures we saw.\n let requests = 0;\n let firstRequest = true;\n for (const rowChunk of rowChunks) {\n for (const colChunk of colChunks) {\n // Skip any block the cache already covers completely - this is where the\n // time goes, so not asking is the whole optimisation.\n const needed = rowChunk.some((r) =>\n colChunk.some((c) => r.i !== c.i && matrix[r.i][c.i] === Infinity)\n );\n if (!needed) continue;\n\n if (!firstRequest) await sleep(OSRM_MIN_INTERVAL_MS);\n firstRequest = false;\n requests++;\n\n const sub = await osrmTableChunk(\n rowChunk.map((r) => r.item),\n colChunk.map((c) => c.item),\n );\n rowChunk.forEach((r, ri) => {\n colChunk.forEach((c, ci) => {\n const d = sub[ri][ci];\n matrix[r.i][c.i] = d;\n // Only finite values are worth keeping; an unreachable pair would\n // otherwise be cached as a permanent Infinity.\n if (cacheKey && r.i !== c.i && Number.isFinite(d)) {\n cache[`${keys[r.i]}|${keys[c.i]}`] = d;\n }\n });\n });\n }\n }\n\n if (cacheKey) {\n let entries = Object.keys(cache).length;\n if (entries > MAX_CACHE_ENTRIES) {\n const kept: Record = {};\n for (let i = 0; i < points.length; i++) {\n for (let j = 0; j < points.length; j++) {\n if (i === j) continue;\n const k = `${keys[i]}|${keys[j]}`;\n const v = cache[k];\n if (typeof v === \"number\") kept[k] = v;\n }\n }\n console.log(`Distance cache pruned ${entries} -> ${Object.keys(kept).length} pair(s)`);\n Object.keys(cache).forEach((k) => delete cache[k]);\n Object.assign(cache, kept);\n entries = Object.keys(cache).length;\n }\n if (entries !== cacheSizeBefore) await blob.setJSON(cacheKey, cache);\n\n const total = points.length * (points.length - 1);\n const blocks = rowChunks.length * colChunks.length;\n console.log(\n `Distance matrix: ${requests}/${blocks} OSRM block(s) fetched, ` +\n `${hits}/${total} pair(s) from cache (${Math.round(hits / total * 100)}%), ` +\n `cache now ${entries} pair(s)`,\n );\n }\n\n return matrix;\n}\n\n// ============================================================================\n// Route building\n// ============================================================================\n\ntype Product = { qty: number; name: string };\n\ntype Stop = {\n opportunityId: string;\n opportunityName: string;\n accountName: string;\n address: string;\n // Weekday names this account will accept a delivery on, from the account's\n // \"Allowed days\" multi-select. null means no restriction, which is the case\n // for all but a handful of accounts.\n allowedDays: string[] | null;\n // The Route Date this stop has been committed to in Salesforce, so it cannot\n // be moved by a rebuild. null for anything not yet committed, and for a\n // committed date that has already passed. Pins the DAY only - the truck stays\n // free for the packer.\n pinnedDate: string | null;\n // Whether the customer has been texted their date. No longer what pins the\n // stop - the Route Date does that - but it still says whether anyone outside\n // the building is expecting us.\n smsSent?: boolean;\n // A texted date that has already passed. Not a pin - it constrains nothing -\n // but the customer was told a day nobody came on, so it is worth naming.\n lapsedPromise?: string | null;\n // Set when a pinned stop was forced onto a truck that was already full. The\n // route goes out over capacity and the sheet flags it in red.\n overPacked?: boolean;\n closeDate: string;\n // When the order was raised. An old created date on an undelivered stop is\n // the signal that something has been sitting in the queue too long.\n createdDate: string | null;\n units: number;\n // Carried for OptimoRoute only - none of this affects routing. The bridge\n // sends the same set, so an order created from here looks the same to a\n // driver as one created from Salesforce.\n bottles: number;\n springBottles: number;\n waterType: string | null;\n apt: string | null;\n phone: string | null;\n email: string | null;\n orderSummary: string | null;\n allowedDaysRaw: string | null;\n products: Product[];\n truckType: string | null;\n lat: number;\n lon: number;\n precision: \"exact\" | \"approx\";\n};\n\n// How many units an order actually puts on a truck.\n//\n// Total_Units_for_Order__c is the real load: it expands a pallet into the packs\n// stacked on it, where Total_Amount_of_Products__c only counts the line\n// quantity. A two-pallet Kirkland order therefore read as 2 units and was\n// packed as though it were nothing - one DC Helix order measured 4 against a\n// true 82. It also drops accessory lines (cups) from the count and gives a\n// cooler its own bulk.\n//\n// Measured across all three regions on 2026-08-19: the two agree on 763 of 796\n// open orders, and DC's three-month book grows 918 -> 1096 units, almost all of\n// it those Helix pallets.\n//\n// Not to be trusted blindly. A handful of records carry null, and one carried a\n// flat 0 against an order for three 5-gallon bottles. Zero is worse than the\n// old number - a weightless stop the packer will hang on any truck - so fall\n// back to the old field rather than believe it.\nexport function orderUnits(\n opp: { Total_Units_for_Order__c?: unknown; Total_Amount_of_Products__c?: unknown },\n): number {\n const exact = Number(opp.Total_Units_for_Order__c);\n if (Number.isFinite(exact) && exact > 0) return exact;\n return Number(opp.Total_Amount_of_Products__c) || 1;\n}\n\n// Did the line above have to fall back? Only for reporting - the build says how\n// often it happened so a field that quietly stops being populated is visible\n// rather than silently shrinking every truck's load.\nexport const usedUnitsFallback = (\n opp: { Total_Units_for_Order__c?: unknown },\n): boolean => !(Number(opp.Total_Units_for_Order__c) > 0);\n\n// OpportunityLineItem is not readable by the proxy val's integration user, but\n// Order_Summary__c carries the same breakdown as text, one line per product:\n// \"10 x 5 GAL PL Water Bottles - Spring\\n\\n4 x 5 GAL PL Water Bottles - ...\"\nexport function parseOrderSummary(summary: string | null | undefined): Product[] {\n if (!summary) return [];\n return String(summary)\n .split(\"\\n\")\n .map((line) => line.trim())\n .filter(Boolean)\n .map((line) => {\n const m = line.match(/^(\\d+(?:\\.\\d+)?)\\s*[xX]\\s*(.+)$/);\n return m ? { qty: Number(m[1]), name: m[2].trim() } : { qty: 1, name: line };\n });\n}\n\n// Roll a set of stops up into \"what goes on the truck\", biggest line first.\nexport function aggregateProducts(stops: { products: Product[] }[]): Product[] {\n const totals = new Map();\n for (const s of stops) {\n for (const p of s.products ?? []) totals.set(p.name, (totals.get(p.name) ?? 0) + p.qty);\n }\n return [...totals.entries()]\n .map(([name, qty]) => ({ name, qty }))\n // Orders sometimes carry a zero-quantity line; \"load 0 of these\" is noise\n // on a truck sheet. The per-stop breakdown still shows it verbatim.\n .filter((p) => p.qty > 0)\n .sort((a, b) => b.qty - a.qty || a.name.localeCompare(b.name));\n}\n\n// Vehicle count and capacities now come from the region config.\n\n// Geography-first packing (sweep + 2-opt).\n//\n// The previous approach filled each truck to capacity by repeatedly grabbing\n// the nearest stop that still fit. That minimised truck count but let routes\n// sprawl: two different days could each cross the whole metro, so a driver\n// covered the same neighbourhood twice in a week.\n//\n// Instead, cut the map into wedges around the depot:\n// 1. Sort stops by compass angle from the depot.\n// 2. Sweep around the circle, closing a wedge whenever the next stop would\n// exceed vehicle capacity. Each wedge is a contiguous slice of geography,\n// so wedges do not overlap and no area is visited twice unless its own\n// volume needs two trucks.\n// 3. The seam (where the sweep starts) changes the result, so try every stop\n// as the seam and keep whichever gives the least total driving.\n// 4. Order each wedge nearest-neighbour, then improve it with 2-opt.\n\n// -1 means \"the depot\"; 0..n-1 are stop indices. Both sides accept either.\ntype Dist = (from: number, to: number) => number;\n\n// Depot -> every stop in order -> back to the depot. The closing leg is what\n// makes the route a loop rather than a one-way trip.\nfunction pathLength(route: number[], dist: Dist): number {\n if (route.length === 0) return 0;\n let total = dist(-1, route[0]);\n for (let i = 0; i + 1 < route.length; i++) total += dist(route[i], route[i + 1]);\n total += dist(route[route.length - 1], -1);\n return total;\n}\n\nfunction nearestNeighbour(cluster: number[], dist: Dist): number[] {\n const remaining = new Set(cluster);\n const order: number[] = [];\n let current = -1; // depot\n while (remaining.size > 0) {\n let best = -1;\n let bestDist = Infinity;\n for (const i of remaining) {\n const d = dist(current, i);\n if (d < bestDist) {\n bestDist = d;\n best = i;\n }\n }\n if (best === -1) best = [...remaining][0]; // unreachable in the matrix\n order.push(best);\n remaining.delete(best);\n current = best;\n }\n return order;\n}\n\n// Standard 2-opt, but each candidate is scored by recomputing the whole path.\n// Road distances are asymmetric, so the usual O(1) delta (which assumes the\n// reversed segment costs the same in both directions) would be wrong here.\nfunction twoOpt(route: number[], dist: Dist): number[] {\n let best = route;\n let bestLen = pathLength(best, dist);\n for (let pass = 0; pass < 30; pass++) {\n let improved = false;\n for (let i = 0; i < best.length - 1; i++) {\n for (let j = i + 1; j < best.length; j++) {\n const candidate = [\n ...best.slice(0, i),\n ...best.slice(i, j + 1).reverse(),\n ...best.slice(j + 1),\n ];\n const len = pathLength(candidate, dist);\n if (len < bestLen - 1e-6) {\n best = candidate;\n bestLen = len;\n improved = true;\n }\n }\n }\n if (!improved) break;\n }\n return best;\n}\n\n// Cut the angular ordering into capacity-bounded wedges, starting at `seam`.\n//\n// `capacities` is the capacity of each wedge in the order they will be filled,\n// because trucks differ in size: wedge 0 goes to the first vehicle-slot, wedge\n// 1 to the second, and so on. Cutting every wedge at the same size would either\n// waste the big truck or overload the small one.\nfunction sweepInto(\n angularOrder: number[],\n seam: number,\n stops: Stop[],\n capacities: number[],\n maxStops = Infinity,\n): number[][] {\n const clusters: number[][] = [];\n let current: number[] = [];\n let used = 0;\n const capacityOf = (clusterIndex: number) =>\n capacities[Math.min(clusterIndex, capacities.length - 1)];\n\n for (let k = 0; k < angularOrder.length; k++) {\n const i = angularOrder[(seam + k) % angularOrder.length];\n if (\n current.length > 0 &&\n (used + stops[i].units > capacityOf(clusters.length) || current.length >= maxStops)\n ) {\n clusters.push(current);\n current = [];\n used = 0;\n }\n current.push(i);\n used += stops[i].units;\n }\n if (current.length > 0) clusters.push(current);\n return clusters;\n}\n\n// Like sweepInto, but cuts on TWO limits: the truck's capacity, and how far the\n// band is allowed to stretch along the sort axis.\n//\n// Capacity alone is not enough. A run of small orders lets one truck swallow a\n// huge latitude range - the untuned version handed a single Miami truck 41\n// stops spanning 70km north-south, which is the sprawl banding was meant to\n// remove. Cutting on span as well keeps bands shallow even where orders are\n// small.\nfunction bandInto(\n order: number[],\n stops: Stop[],\n capacities: number[],\n keyOf: (s: Stop) => number,\n maxSpan: number,\n maxStops = Infinity,\n): number[][] {\n const clusters: number[][] = [];\n let current: number[] = [];\n let used = 0;\n let anchor = 0;\n const capacityOf = (clusterIndex: number) =>\n capacities[Math.min(clusterIndex, capacities.length - 1)];\n\n for (const i of order) {\n const k = keyOf(stops[i]);\n const overCapacity = current.length > 0 &&\n used + stops[i].units > capacityOf(clusters.length);\n const overSpan = current.length > 0 && Math.abs(anchor - k) > maxSpan;\n const overCount = current.length >= maxStops;\n if (overCapacity || overSpan || overCount) {\n clusters.push(current);\n current = [];\n used = 0;\n }\n if (current.length === 0) anchor = k;\n current.push(i);\n used += stops[i].units;\n }\n if (current.length > 0) clusters.push(current);\n return clusters;\n}\n\n// Zones: give each driver a territory, not a scatter of points.\n//\n// What is minimised here is the distance covered BETWEEN the day's stops - first\n// stop to last - with the run out from the depot treated as a fixed cost of the\n// day. A driver does not care that the work is 170km away; they care that once\n// they arrive, every drop is round the corner from the last.\n//\n// So a zone grows by repeatedly taking whichever remaining stop lengthens the\n// zone's own path least. That is cheapest insertion, the same criterion that\n// sequences the route afterwards - grouping and ordering optimise one number\n// instead of two different ones. A sweep, a band, or a distance-to-centre\n// cluster all optimise something else and hope the path follows.\n//\n// Growth aims at a unit target rather than the hard cap, so the fleet comes out\n// evenly near-full instead of the first trucks stuffed and the last carrying\n// scraps. The target tracks each slot's share of the capacity still unbuilt, so\n// the front-load taper continues to shape the week.\n// How hard a zone pulls a stop toward its own body, relative to the extra\n// driving that stop causes. 0 is pure cheapest-insertion, which snakes; 1 makes\n// compactness dominate and gives up good sequencing. Both terms are metres.\nconst ZONE_COMPACTNESS = 0.35;\n\n// How far outside itself a zone will reach, as a multiple of its own average\n// leg. Past this the territory is finished and the stop belongs to somebody\n// else. The floor keeps a very tight urban zone from refusing its own suburbs.\nconst ZONE_REACH = 4;\nconst MIN_ZONE_REACH_M = 8000;\n\n// What it costs this zone to take on a stop: the extra driving, plus a pull\n// toward the body of the territory.\n//\n// The second term is what stops a zone becoming a snake. Appending to either\n// end of a path costs a single edge, so raw insertion cost is happy to reach\n// clear across the map and back - which is precisely how two routes end up\n// interleaved through each other's patch. Averaging the distance to every\n// member instead asks \"does this stop belong here\", not \"is it near an end\".\nfunction fitCost(\n path: number[],\n i: number,\n dist: Dist,\n): { cost: number; at: number; pull: number } {\n if (path.length === 0) return { cost: 0, at: 0, pull: 0 };\n let ins = dist(i, path[0]);\n let at = 0;\n const tail = dist(path[path.length - 1], i);\n if (tail < ins) {\n ins = tail;\n at = path.length;\n }\n for (let p = 0; p < path.length - 1; p++) {\n const c = dist(path[p], i) + dist(i, path[p + 1]) - dist(path[p], path[p + 1]);\n if (c < ins) {\n ins = c;\n at = p + 1;\n }\n }\n let sum = 0;\n for (const m of path) sum += dist(m, i);\n const pull = sum / path.length;\n return { cost: ins + ZONE_COMPACTNESS * pull, at, pull };\n}\n\nfunction growZones(\n members: number[],\n stops: Stop[],\n dist: Dist,\n capacities: number[],\n maxStops: number,\n): { zones: number[][]; leftovers: number[] } {\n const capOf = (z: number) => capacities[Math.min(z, capacities.length - 1)];\n const n = capacities.length;\n const remaining = new Set(members);\n\n const totalUnits = members.reduce((a, i) => a + stops[i].units, 0);\n const totalCap = capacities.reduce((a, c) => a + c, 0) || 1;\n const targets = capacities.map((c) => Math.min(c, (totalUnits * c) / totalCap));\n\n // Seed every zone before growing any of them, as far apart as they will go.\n // Growing one territory to capacity before its neighbours exist is what\n // produced the snakes: with nobody competing, a zone extends across the whole\n // map one cheap edge at a time and the later zones inherit the gaps it left.\n const seeds: number[] = [];\n if (remaining.size > 0) {\n let first = -1;\n for (const i of remaining) if (first === -1 || dist(-1, i) > dist(-1, first)) first = i;\n seeds.push(first);\n while (seeds.length < Math.min(n, remaining.size)) {\n let pick = -1;\n let far = -1;\n for (const i of remaining) {\n if (seeds.includes(i)) continue;\n let d = Infinity;\n for (const s of seeds) d = Math.min(d, dist(s, i));\n if (d > far) {\n far = d;\n pick = i;\n }\n }\n if (pick === -1) break;\n seeds.push(pick);\n }\n }\n\n const zones: number[][] = seeds.map((s) => [s]);\n while (zones.length < n) zones.push([]);\n const used = zones.map((z) => z.reduce((a, i) => a + stops[i].units, 0));\n for (const s of seeds) remaining.delete(s);\n\n const pathLen = (p: number[]) => {\n let t = 0;\n for (let i = 0; i < p.length - 1; i++) t += dist(p[i], p[i + 1]);\n return t;\n };\n\n // Round-robin, emptiest zone first. Every zone grows at the same rate, so\n // they meet at a boundary and stop instead of one overrunning the others.\n //\n // A zone will not reach outside itself to hit its target. When the nearest\n // remaining work is several times further off than the zone's own average\n // leg, that territory is simply finished, and taking the stop anyway is what\n // stapled a Brooksville drop and a Largo drop onto the end of an Orlando\n // run - the Largo one 400 metres from a truck already working Largo.\n while (remaining.size > 0) {\n let turn = -1;\n let slack = -Infinity;\n for (let z = 0; z < n; z++) {\n if (zones[z].length === 0 || zones[z].length >= maxStops) continue;\n if (used[z] >= targets[z]) continue;\n const s = (targets[z] - used[z]) / Math.max(1, targets[z]);\n if (s > slack) {\n slack = s;\n turn = z;\n }\n }\n if (turn === -1) break;\n\n // Only once a zone has a shape worth defending. Below that any limit would\n // be measuring noise off two or three stops.\n const path = zones[turn];\n const reach = path.length >= 4\n ? Math.max((pathLen(path) / (path.length - 1)) * ZONE_REACH, MIN_ZONE_REACH_M)\n : Infinity;\n\n let bestStop = -1;\n let bestAt = 0;\n let bestScore = Infinity;\n for (const i of remaining) {\n if (used[turn] + stops[i].units > capOf(turn)) continue;\n const { cost, at, pull } = fitCost(path, i, dist);\n if (pull > reach) continue;\n if (cost < bestScore) {\n bestScore = cost;\n bestStop = i;\n bestAt = at;\n }\n }\n // Either nothing fits the truck or nothing is near enough to belong here.\n // Retire the zone and let another take a turn.\n if (bestStop === -1) {\n targets[turn] = used[turn];\n continue;\n }\n path.splice(bestAt, 0, bestStop);\n remaining.delete(bestStop);\n used[turn] += stops[bestStop].units;\n }\n\n // Whatever the zones would not reach for, placed by best fit and no limit.\n //\n // Stop-driven, not zone-driven: the question is \"which truck is nearest this\n // stop\", not \"what is nearest this half-empty truck\". Asking it the other way\n // round hands the leftovers straight back to the zone that just declined\n // them, because a zone that stopped early is the emptiest one left.\n const stragglers = [...remaining].sort((a, b) => stops[b].units - stops[a].units);\n for (const i of stragglers) {\n let bestZone = -1;\n let bestAt = 0;\n let bestScore = Infinity;\n for (let z = 0; z < n; z++) {\n if (zones[z].length === 0 || zones[z].length >= maxStops) continue;\n if (used[z] + stops[i].units > capOf(z)) continue;\n const { cost, at } = fitCost(zones[z], i, dist);\n if (cost < bestScore) {\n bestScore = cost;\n bestZone = z;\n bestAt = at;\n }\n }\n if (bestZone < 0) continue;\n zones[bestZone].splice(bestAt, 0, i);\n used[bestZone] += stops[i].units;\n remaining.delete(i);\n }\n\n return { zones, leftovers: [...remaining] };\n}\n\n// Boundary tidy-up. A stop claimed early can end up on the wrong side of a seam\n// that only settled later. Judged on the same measure that grew the zones, so a\n// stop moves whenever it belongs to its neighbour more than to its own zone.\nfunction tidyZones(\n zones: number[][],\n stops: Stop[],\n dist: Dist,\n capacities: number[],\n maxStops: number,\n): number {\n const capOf = (z: number) => capacities[Math.min(z, capacities.length - 1)];\n const unitsOf = (p: number[]) => p.reduce((n, i) => n + stops[i].units, 0);\n\n let total = 0;\n for (let pass = 0; pass < 4; pass++) {\n let moved = 0;\n for (let a = 0; a < zones.length; a++) {\n for (const i of [...zones[a]]) {\n if (zones[a].length <= 1) break;\n const without = zones[a].filter((x) => x !== i);\n // How well the stop fits where it already is. A move has to beat this.\n let bestScore = fitCost(without, i, dist).cost;\n let bestZone = -1;\n let bestAt = 0;\n for (let b = 0; b < zones.length; b++) {\n if (b === a || zones[b].length === 0 || zones[b].length >= maxStops) continue;\n if (unitsOf(zones[b]) + stops[i].units > capOf(b)) continue;\n const { cost, at } = fitCost(zones[b], i, dist);\n if (cost < bestScore) {\n bestScore = cost;\n bestZone = b;\n bestAt = at;\n }\n }\n if (bestZone >= 0) {\n zones[a] = without;\n zones[bestZone].splice(bestAt, 0, i);\n moved++;\n }\n }\n }\n\n // Swaps. Relocating a stop needs free capacity in the destination, and on a\n // full week there is none - every truck sits within a unit or two of its\n // cap, so the move that would fix things is never legal. A swap needs no\n // free capacity at all: two stops trade zones and both loads stay put.\n //\n // Without this a 10-unit drop in Brooksville rode a Monday truck it was\n // 68km from the middle of, while the Wednesday route it was 47km from had\n // one unit spare and a 10-unit stop of its own that belonged on the Monday.\n for (let a = 0; a < zones.length; a++) {\n for (let b = a + 1; b < zones.length; b++) {\n if (zones[a].length < 2 || zones[b].length < 2) continue;\n const ua = unitsOf(zones[a]);\n const ub = unitsOf(zones[b]);\n // Precomputed per stop of b, since it does not vary with a's stop.\n const bOptions = zones[b].map((j) => {\n const rest = zones[b].filter((x) => x !== j);\n return { j, rest, home: fitCost(rest, j, dist).cost };\n });\n\n for (const i of [...zones[a]]) {\n const aRest = zones[a].filter((x) => x !== i);\n const iHome = fitCost(aRest, i, dist).cost;\n let bestGain = 1; // a metre of slack, so float noise cannot cycle\n let pick: { j: number; rest: number[]; iAt: number; jAt: number } | null = null;\n\n for (const opt of bOptions) {\n if (!zones[b].includes(opt.j)) continue; // already traded away\n if (ua - stops[i].units + stops[opt.j].units > capOf(a)) continue;\n if (ub - stops[opt.j].units + stops[i].units > capOf(b)) continue;\n const iThere = fitCost(opt.rest, i, dist);\n const jThere = fitCost(aRest, opt.j, dist);\n const gain = (iHome + opt.home) - (iThere.cost + jThere.cost);\n if (gain > bestGain) {\n bestGain = gain;\n pick = { j: opt.j, rest: opt.rest, iAt: iThere.at, jAt: jThere.at };\n }\n }\n\n if (pick) {\n zones[a] = aRest;\n zones[b] = pick.rest;\n zones[a].splice(pick.jAt, 0, pick.j);\n zones[b].splice(pick.iAt, 0, i);\n moved++;\n break; // a and b have both changed shape; revisit them next pass\n }\n }\n }\n }\n\n total += moved;\n if (moved === 0) break;\n }\n return total;\n}\n\nexport function buildRoutes(\n stops: Stop[],\n distances: number[][],\n maxSlots: number,\n depot: { lat: number; lon: number },\n // Capacity of each vehicle-slot, in slot order.\n slotCapacities: number[],\n orientation: Orientation = \"radial\",\n maxStops = Infinity,\n // Zoned builds only. Which slots to grow zones for, in the order they should\n // be filled. Lets the caller pack a week into the fewest truck-days by\n // passing the earliest days first and only as many slots as the work needs.\n // Omitted, every slot is used, roomiest first.\n slotPriority?: number[],\n) {\n const dist: Dist = (from, to) => distances[from + 1][to + 1];\n\n let bestClusters: number[][] = [];\n let bestScore = Infinity;\n\n if (orientation === \"radial\") {\n // Compass angle from the depot, so the sweep goes round the clock.\n const angularOrder = stops\n .map((s, i) => ({ i, angle: Math.atan2(s.lat - depot.lat, s.lon - depot.lon) }))\n .sort((a, b) => a.angle - b.angle)\n .map((x) => x.i);\n\n // Pick the seam that minimises total driving, scoring cheaply with\n // nearest-neighbour only; 2-opt is applied once to the winner.\n for (let seam = 0; seam < angularOrder.length; seam++) {\n const clusters = sweepInto(angularOrder, seam, stops, slotCapacities, maxStops);\n if (clusters.length > maxSlots) continue; // needs more trucks than exist\n const score = clusters.reduce((sum, c) => sum + pathLength(nearestNeighbour(c, dist), dist), 0);\n if (score < bestScore) {\n bestScore = score;\n bestClusters = clusters;\n }\n }\n\n // Every seam overflowed the available slots: fall back to the tightest\n // packing we can and let the overflow report as unassigned.\n if (bestClusters.length === 0) {\n bestClusters = sweepInto(angularOrder, 0, stops, slotCapacities, maxStops);\n }\n } else if (orientation === \"zoned\") {\n // Slots are not interchangeable: two truck sizes, plus the front-load taper\n // that leaves later days deliberately emptier. Grow the zones against the\n // capacities sorted large-to-small and hand zone j to the j-th roomiest\n // slot, so the biggest territory lands on the truck that can carry it.\n // Without a priority list, every slot is used, roomiest first.\n const order = slotPriority ??\n slotCapacities\n .map((cap, slot) => ({ cap, slot }))\n .sort((a, b) => b.cap - a.cap)\n .map((x) => x.slot);\n const caps = order.map((slot) => slotCapacities[slot]);\n const { zones, leftovers } = growZones(\n stops.map((_, i) => i),\n stops,\n dist,\n caps,\n maxStops,\n );\n tidyZones(zones, stops, dist, caps, maxStops);\n\n // Heaviest zone onto the first slot in the order. Growth order is\n // geographic - the first zone seeded is the furthest-out one - and that\n // territory is usually among the smallest, so pairing by growth order put\n // the lightest work on Monday and defeated the front-loading entirely.\n // Re-pairing by size is safe: every zone already fits the capacity it was\n // grown against, and sorting both sides keeps that true.\n bestClusters = Array.from({ length: maxSlots }, () => [] as number[]);\n zones\n .map((z, j) => ({ z, j, units: z.reduce((n, i) => n + stops[i].units, 0) }))\n .sort((a, b) => b.units - a.units)\n .forEach((x, rank) => {\n if (rank < order.length) bestClusters[order[rank]] = x.z;\n });\n // Anything that fitted nowhere is pushed past the last slot, where the\n // caller reports it unassigned - which is what triggers the front-load\n // relaxation upstream.\n if (leftovers.length > 0) bestClusters.push(leftovers);\n\n bestScore = bestClusters.reduce(\n (sum, c) => sum + (c.length > 0 ? pathLength(nearestNeighbour(c, dist), dist) : 0),\n 0,\n );\n } else {\n // Banded. Sort along one axis and cut the line into capacity-sized runs, so\n // each truck gets a contiguous slice perpendicular to that axis: sorting by\n // latitude stacks bands north-to-south, and each band runs east-west.\n //\n // No seam search here. The order is a line, not a circle, so rotating it\n // would wrap the far end of the region round to the near end and hand one\n // truck both the northernmost and southernmost stops - exactly the sprawl\n // this is meant to remove.\n const key = (s: Stop) => (orientation === \"east-west\" ? s.lat : s.lon);\n const banded = stops\n .map((s, i) => ({ i, k: key(s) }))\n .sort((a, b) => b.k - a.k)\n .map((x) => x.i);\n\n // Capacity-only banding is the loosest cut there is. If even that needs\n // more trucks than exist, no span limit can help - tightening bands only\n // ever makes more of them - so take it and let the overflow report as\n // unassigned rather than silently dropping more stops.\n const loosest = bandInto(banded, stops, slotCapacities, key, Infinity, maxStops);\n if (loosest.length > maxSlots) {\n bestClusters = loosest;\n } else {\n // Otherwise find the SHALLOWEST bands the fleet can still cover, by\n // bisecting on the span limit. Tighter bands mean more of them, so this\n // is monotonic and a plain binary search finds the tightest feasible\n // setting. No magic constant, and it retunes itself as stop counts and\n // truck capacities change.\n const keys = stops.map(key);\n let lo = 0;\n let hi = Math.max(...keys) - Math.min(...keys);\n let fit = loosest;\n for (let iter = 0; iter < 24; iter++) {\n const mid = (lo + hi) / 2;\n const attempt = bandInto(banded, stops, slotCapacities, key, mid, maxStops);\n if (attempt.length <= maxSlots) {\n fit = attempt;\n hi = mid;\n } else {\n lo = mid;\n }\n }\n bestClusters = fit;\n }\n\n bestScore = bestClusters.reduce(\n (sum, c) => sum + pathLength(nearestNeighbour(c, dist), dist),\n 0,\n );\n }\n\n const slots: { slot: number; stops: Stop[] }[] = [];\n const unassigned: Stop[] = [];\n\n bestClusters.forEach((cluster, slot) => {\n if (slot >= maxSlots) {\n for (const i of cluster) unassigned.push(stops[i]);\n return;\n }\n // Clustering can leave a slot empty where a sweep never would. Keep the\n // slot so the day still shows an available truck to the rules passes; the\n // caller drops empty routes before anything reaches the sheet.\n if (cluster.length === 0) {\n slots.push({ slot, stops: [] });\n return;\n }\n const ordered = twoOpt(nearestNeighbour(cluster, dist), dist);\n slots.push({ slot, stops: ordered.map((i) => stops[i]) });\n });\n\n return { slots, unassigned, totalDistance: bestScore };\n}\n\n// Total metres driven across every route, for logging and comparison.\nfunction totalRouteDistance(\n slots: { stops: Stop[] }[],\n stops: Stop[],\n distances: number[][],\n): number {\n const indexOf = new Map(stops.map((s, i) => [s.opportunityId, i]));\n const dist: Dist = (from, to) => distances[from + 1][to + 1];\n return slots.reduce(\n (sum, r) => sum + pathLength(r.stops.map((s) => indexOf.get(s.opportunityId)!), dist),\n 0,\n );\n}\n\n// ----------------------------------------------------------------------------\n// Manual overrides\n// ----------------------------------------------------------------------------\n//\n// Dispatchers move stops between days on the map. Those moves are recorded\n// here and re-applied on every rebuild, otherwise the next run would silently\n// undo them. Overrides are scoped to a delivery window and discarded once that\n// window has passed, so they never leak into a later week.\n\n// ----------------------------------------------------------------------------\n// Dispatch ledger\n// ----------------------------------------------------------------------------\n//\n// Which stops were planned for which date. This is how a rebuild knows not to\n// re-plan the stops that are already out on today's truck.\n//\n// It used to be read back out of the Google Sheet, which was wrong in a way\n// that only showed up once a day rolled over: the first rebuild of the day\n// correctly excluded today's stops, but that same rebuild rewrote the sheet\n// without a column for today - so every later rebuild found nothing, and the\n// stops on today's truck were silently re-planned into the coming days.\n//\n// A build only ever plans tomorrow onward, so it never overwrites today's\n// entry. The ledger therefore still holds what yesterday's build committed,\n// which is exactly the question being asked.\n\nexport const DISPATCH_KEY = \"dispatch-log\";\nexport type DispatchLog = Record; // ISO date -> opportunity ids\n\nexport async function loadDispatchLog(region: Region = REGIONS.dc): Promise {\n return (await blob.getJSON(scoped(DISPATCH_KEY, region)) as DispatchLog | undefined) ?? {};\n}\n\n// Stops pulled off the plan by hand from the map. Val Town's own state only -\n// nothing is written back to Salesforce, so the delivery stays open there and\n// simply is not routed this window.\n//\n// Keyed by windowEnd like the overrides, so a removal expires when the window\n// rolls forward rather than hiding a customer indefinitely.\nexport const REMOVED_KEY = \"removed-stops\";\n\nexport async function loadRemovedIds(windowEnd: string, region: Region): Promise> {\n const raw = await blob.getJSON(blobKeyFor(REMOVED_KEY, region.key)).catch(() => null) as\n | { windowEnd?: string; ids?: string[] }\n | null;\n if (!raw || raw.windowEnd !== windowEnd) return new Set();\n return new Set(raw.ids ?? []);\n}\n\nexport async function saveRemovedIds(windowEnd: string, region: Region, ids: Set) {\n await blob.setJSON(blobKeyFor(REMOVED_KEY, region.key), { windowEnd, ids: [...ids] });\n}\n\nexport const OVERRIDES_KEY = \"route-overrides\";\n\nexport type Overrides = {\n windowEnd: string;\n // `locked` marks an entry the dispatcher explicitly froze. Both kinds pin a\n // stop, but Reoptimize discards plain moves and keeps locks - that is what\n // makes a lock a lock.\n moves: Record;\n};\n\nexport async function loadOverrides(\n windowEnd: string,\n region: Region = REGIONS.dc,\n): Promise {\n const stored = await blob.getJSON(scoped(OVERRIDES_KEY, region)) as Overrides | undefined;\n if (!stored || stored.windowEnd !== windowEnd) return { windowEnd, moves: {} };\n return stored;\n}\n\nfunction applyOverrides(\n slots: { slot: number; stops: Stop[] }[],\n distances: number[][],\n stops: Stop[],\n days: { day: string; date: string }[],\n overrides: Overrides,\n): { slots: { slot: number; stops: Stop[] }[]; applied: number } {\n const moves = Object.entries(overrides.moves);\n if (moves.length === 0) return { slots, applied: 0 };\n\n const indexOf = new Map(stops.map((s, i) => [s.opportunityId, i]));\n const dist: Dist = (from, to) => distances[from + 1][to + 1];\n\n // slot number for a (date, vehicle) pair - the inverse of slotLabel.\n const slotFor = (date: string, vehicle: number) => {\n const dayIndex = days.findIndex((d) => d.date === date);\n return dayIndex === -1 ? -1 : dayIndex + (vehicle - 1) * days.length;\n };\n\n const bySlot = new Map(slots.map((s) => [s.slot, [...s.stops]]));\n const touched = new Set();\n let applied = 0;\n\n for (const [oppId, target] of moves) {\n const targetSlot = slotFor(target.date, target.vehicle);\n if (targetSlot === -1) continue; // that day is no longer in the window\n\n let stop: Stop | undefined;\n for (const [slot, list] of bySlot) {\n const at = list.findIndex((s) => s.opportunityId === oppId);\n if (at !== -1) {\n stop = list[at];\n if (slot === targetSlot) break; // already where it belongs\n list.splice(at, 1);\n touched.add(slot);\n break;\n }\n }\n if (!stop) continue; // stop is not in this build (delivered, or filtered out)\n\n if (!bySlot.has(targetSlot)) bySlot.set(targetSlot, []);\n const target_ = bySlot.get(targetSlot)!;\n if (!target_.some((s) => s.opportunityId === oppId)) {\n target_.push(stop);\n touched.add(targetSlot);\n applied++;\n }\n }\n\n // Re-optimise only the routes a move actually changed.\n const rebuilt = [...bySlot.entries()]\n .filter(([, list]) => list.length > 0)\n .map(([slot, list]) => {\n if (!touched.has(slot)) return { slot, stops: list };\n const idx = list.map((s) => indexOf.get(s.opportunityId)!);\n const ordered = twoOpt(nearestNeighbour(idx, dist), dist);\n return { slot, stops: ordered.map((i) => stops[i]) };\n })\n .sort((a, b) => a.slot - b.slot);\n\n return { slots: rebuilt, applied };\n}\n\n// Slots are ordered by vehicle tier first, day second: every available day\n// gets a shot at a single truck before any day is handed a 2nd truck.\n// Combined with buildRoutes only opening a new slot when the previous one is\n// truly full, this keeps 2-truck days to the minimum the actual stop volume\n// forces, instead of concentrating both trucks on the first couple of days\n// while later days sit unused.\n// Enforces the two rules the packer cannot express geographically:\n// - an account's \"Allowed days\", where it has any\n// - a stop already texted to the customer, which is a promise about a date\n//\n// Both are rare, so this is a repair pass over the finished plan rather than\n// another constraint inside the sweep, where it would fight the geography for\n// every stop. A moved stop is appended to its new truck, so its position in\n// that truck's driving order is not re-optimised - fine for the handful this\n// touches, and the alternative is re-running the whole plan per exception.\nfunction honourDayRules(\n slots: { slot: number; stops: Stop[] }[],\n days: { day: string; date: string }[],\n slotCapacities: number[],\n maxStops: number,\n unassigned: Stop[] = [],\n // The trucks' real capacity, before the front-load taper. Merging two\n // half-empty trucks is judged against the vehicle, not against a planning\n // target - the taper exists to keep room for call-ins, and a merged truck\n // with spare units serves that better than a second driver does.\n hardCapacities: number[] = slotCapacities,\n): { moved: string[]; stuck: string[]; promoted: string[]; relieved: string[] } {\n const moved: string[] = [];\n const stuck: string[] = [];\n const promoted: string[] = [];\n const relieved: string[] = [];\n const bySlot = new Map(slots.map((s) => [s.slot, s]));\n const unitsIn = (s: { stops: Stop[] }) => s.stops.reduce((a, x) => a + x.units, 0);\n const dayOf = (slot: number) => days[slot % days.length];\n\n const allowedOn = (stop: Stop, slot: number) => {\n const d = dayOf(slot);\n if (stop.pinnedDate) return d.date === stop.pinnedDate;\n if (stop.allowedDays) return stop.allowedDays.includes(d.day);\n return true;\n };\n const fits = (slot: number, stop: Stop) => {\n const t = bySlot.get(slot);\n if (!t) return false;\n const cap = slotCapacities[Math.min(slot, slotCapacities.length - 1)];\n return t.stops.length < maxStops && unitsIn(t) + stop.units <= cap;\n };\n\n // An empty truck-day is a truck nobody is driving. Putting a single stop on\n // one costs a whole extra driver - in DC a rented van, since only the first\n // is owned - so every pass below treats it as the last resort and looks for\n // a truck that is already going out first.\n const alreadyOut = (slot: number) => (bySlot.get(slot)?.stops.length ?? 0) > 0;\n\n // How far a stop is from the work a truck is already carrying, measured to\n // the nearest stop on it rather than to its centre: a route is a line, not a\n // blob, and a drop beside one end of it is on the way even if the centre is\n // far off. Empty trucks have no work to be near, so they sort last.\n const reachKm = (stop: Stop, slot: number) => {\n const t = bySlot.get(slot);\n if (!t || t.stops.length === 0) return Infinity;\n return Math.min(...t.stops.map((s) => apartKm(stop, s)));\n };\n\n // Trucks already on the road that could take this stop, NEAREST first.\n //\n // Sorting purely by how empty a truck is was what put an Arlington stop on\n // the Loudoun run: Friday had the most room, so Friday won, 30km from\n // anything else on it. Room is already guaranteed by fits() - among the\n // trucks that can take the stop, the one whose route passes closest is the\n // one that should, and load only breaks ties between equally close days.\n const nearestFirst = (stop: Stop, except: number) =>\n slots\n .map((s) => s.slot)\n .filter((t) => t !== except && alreadyOut(t) && allowedOn(stop, t) && fits(t, stop))\n .sort((a, b) =>\n reachKm(stop, a) - reachKm(stop, b) ||\n unitsIn(bySlot.get(a)!) - unitsIn(bySlot.get(b)!)\n );\n\n // Try to open up `need` units on a truck that is already full, by shifting\n // un-promised work off it onto lighter days.\n //\n // This is what keeps DC on one van. When a stop has to move onto a day whose\n // truck is full, the choice is between hiring a second driver for that one\n // stop and moving an equal amount of un-promised work to a day with room.\n // The lighter day is always cheaper, so it is tried first - and only if it\n // cannot free enough does the day get a second truck.\n //\n // Largest first: one move that frees enough disturbs the week less than three\n // that each free a little. All-or-nothing - a half-finished shuffle would\n // scatter stops across the week and still need the extra truck.\n const makeRoom = (slot: number, need: number): boolean => {\n const host = bySlot.get(slot);\n if (!host) return false;\n const cap = slotCapacities[Math.min(slot, slotCapacities.length - 1)];\n const enough = () => cap - unitsIn(host) >= need && host.stops.length < maxStops;\n if (enough()) return true;\n\n const movable = host.stops.filter((s) => !s.pinnedDate).sort((a, b) => b.units - a.units);\n const shifted: { stop: Stop; to: number }[] = [];\n for (const stop of movable) {\n if (enough()) break;\n const to = nearestFirst(stop, slot)[0];\n if (to === undefined) continue;\n host.stops.splice(host.stops.indexOf(stop), 1);\n bySlot.get(to)!.stops.push(stop);\n shifted.push({ stop, to });\n }\n\n if (enough()) {\n for (const s of shifted) {\n relieved.push(\n `${s.stop.accountName} (${s.stop.units}u): ${dayOf(slot).day} -> ${dayOf(s.to).day}` +\n ` to keep ${dayOf(slot).day} on one truck`,\n );\n }\n return true;\n }\n // Not enough came off - put it all back. The day needs the extra truck.\n for (const s of shifted) {\n const t = bySlot.get(s.to)!;\n t.stops.splice(t.stops.indexOf(s.stop), 1);\n host.stops.push(s.stop);\n }\n return false;\n };\n\n for (const src of slots) {\n for (const stop of [...src.stops]) {\n if (allowedOn(stop, src.slot)) continue;\n // Nearest acceptable day wins, so a Wednesday-only stop lands on the\n // Wednesday closest to where the geography had already put it.\n const candidates = slots\n .map((s) => s.slot)\n .filter((t) => t !== src.slot && allowedOn(stop, t));\n const byNearestDay = (a: number, b: number) =>\n Math.abs((a % days.length) - (src.slot % days.length)) -\n Math.abs((b % days.length) - (src.slot % days.length));\n\n // A truck already going out beats an empty one every time, even one a few\n // days further off: the alternative is paying a second driver. Only when\n // no running truck has room, and none can be given room by shifting\n // un-promised work elsewhere, does a new truck get opened.\n //\n // Among the running trucks, nearest route wins and the calendar only\n // breaks ties. This used to go by calendar distance alone, which was a\n // stand-in for geography back when consecutive days were adjacent bands;\n // under zoning the days are territories, so the real distance is knowable\n // and Tuesday's truck may well pass closer than Wednesday's.\n const running = candidates.filter(alreadyOut).sort((a, b) =>\n reachKm(stop, a) - reachKm(stop, b) || byNearestDay(a, b)\n );\n let target = running.find((t) => fits(t, stop)) ??\n running.find((t) => makeRoom(t, stop.units)) ??\n candidates.filter((t) => fits(t, stop)).sort(byNearestDay)[0];\n let over = false;\n\n // Nowhere with room. A texted stop still goes on its promised day - the\n // truck runs over capacity and the sheet flags it - because the customer\n // has already been told. An allowed-days stop has no such promise behind\n // it, so that one stays put and is reported instead.\n if (target === undefined && stop.pinnedDate) {\n target = candidates\n .slice()\n .sort((a, b) => unitsIn(bySlot.get(a)!) - unitsIn(bySlot.get(b)!))[0];\n over = target !== undefined;\n }\n\n if (target === undefined) {\n stuck.push(\n `${stop.accountName} (${\n stop.pinnedDate ? `route-dated ${stop.pinnedDate}` : stop.allowedDays?.join(\"/\")\n }) stays on ${dayOf(src.slot).day}`,\n );\n continue;\n }\n src.stops.splice(src.stops.indexOf(stop), 1);\n bySlot.get(target)!.stops.push(stop);\n if (over) {\n stop.overPacked = true;\n const cap = slotCapacities[Math.min(target, slotCapacities.length - 1)];\n moved.push(\n `${stop.accountName}: ${dayOf(src.slot).day} -> ${dayOf(target).day} ` +\n `OVER CAPACITY (${unitsIn(bySlot.get(target)!)}/${cap} units)`,\n );\n } else {\n moved.push(`${stop.accountName}: ${dayOf(src.slot).day} -> ${dayOf(target).day}`);\n }\n }\n }\n\n // A texted stop that never got a truck is the worst outcome there is: the\n // customer has been told a date and nobody is coming. It outranks a stop no\n // one has been promised anything about, so it takes a place on its day - and\n // if the day is full, it displaces the largest un-promised stop there, which\n // becomes unassigned in its stead.\n for (const stop of [...unassigned]) {\n if (!stop.pinnedDate) continue;\n const onDay = slots.filter((s) => dayOf(s.slot).date === stop.pinnedDate);\n if (onDay.length === 0) continue;\n\n // Room if there is any, otherwise put it on anyway. A promise already made\n // beats the cube: the truck goes out over capacity and the sheet says so in\n // red, rather than a customer being told we are coming and nobody arriving.\n // Trucks already going out that day first, and if none has room, try to\n // make room on one by shifting un-promised work to a lighter day - the\n // stop's date is fixed, but which truck carries it is not, and a day should\n // not gain a second driver while another day is running half empty.\n const running = onDay\n .filter((s) => alreadyOut(s.slot))\n .sort((a, b) => reachKm(stop, a.slot) - reachKm(stop, b.slot));\n let target = running.find((s) => fits(s.slot, stop)) ??\n running.find((s) => makeRoom(s.slot, stop.units)) ??\n onDay.find((s) => fits(s.slot, stop));\n let over = false;\n if (!target) {\n // Least-loaded truck that day, so the overage is as small as possible.\n target = onDay.slice().sort((a, b) => unitsIn(a) - unitsIn(b))[0];\n over = true;\n }\n\n target.stops.push(stop);\n unassigned.splice(unassigned.indexOf(stop), 1);\n if (over) {\n stop.overPacked = true;\n const cap = slotCapacities[Math.min(target.slot, slotCapacities.length - 1)];\n promoted.push(\n `${stop.accountName} -> ${dayOf(target.slot).day} ${stop.pinnedDate} ` +\n `OVER CAPACITY (${unitsIn(target)}/${cap} units)`,\n );\n } else {\n promoted.push(`${stop.accountName} -> ${dayOf(target.slot).day} ${stop.pinnedDate}`);\n }\n }\n\n // Relief pass. A truck can end up over capacity because texted stops were\n // forced onto it; anything on that truck that has NOT been texted can still\n // be moved to a later day with room. Nobody has been promised a date for\n // those, so shifting them is free - and it is the only lever left, since the\n // texted ones are fixed by definition.\n //\n // Smallest first: it takes more moves, but it disturbs the fewest large\n // deliveries and keeps the day's shape closest to what the packer intended.\n for (const src of slots) {\n const cap = () => slotCapacities[Math.min(src.slot, slotCapacities.length - 1)];\n if (unitsIn(src) <= cap()) continue;\n const srcDay = src.slot % days.length;\n\n const movable = src.stops\n .filter((s) => !s.pinnedDate)\n .sort((a, b) => a.units - b.units);\n\n for (const stop of movable) {\n if (unitsIn(src) <= cap()) break;\n // Later days first - pushing work forward is what the spare Saturday is\n // for - then earlier days if that is all there is.\n const target = slots\n .map((s) => s.slot)\n .filter((t) => t !== src.slot && allowedOn(stop, t) && fits(t, stop))\n .sort((a, b) => {\n // A truck already on the road first, whichever day it runs. Relieving\n // one over-packed truck by dispatching a second one is no relief at\n // all - it just moves the cost from the cube to the payroll.\n const ra = alreadyOut(a) ? 0 : 1;\n const rb = alreadyOut(b) ? 0 : 1;\n if (ra !== rb) return ra - rb;\n // Then the route that passes nearest, rounded to 5km so that days\n // which are much of a muchness geographically still fall back to the\n // old preference for pushing work later in the week.\n const na = Math.round(reachKm(stop, a) / 5);\n const nb = Math.round(reachKm(stop, b) / 5);\n if (na !== nb) return na - nb;\n const la = (a % days.length) > srcDay ? 0 : 1;\n const lb = (b % days.length) > srcDay ? 0 : 1;\n if (la !== lb) return la - lb;\n return Math.abs((a % days.length) - srcDay) - Math.abs((b % days.length) - srcDay);\n })[0];\n if (target === undefined) continue;\n\n src.stops.splice(src.stops.indexOf(stop), 1);\n bySlot.get(target)!.stops.push(stop);\n relieved.push(\n `${stop.accountName} (${stop.units}u): ${dayOf(src.slot).day} -> ${dayOf(target).day}` +\n ` [${dayOf(src.slot).day} now ${unitsIn(src)}/${cap()}]`,\n );\n }\n }\n\n // Consolidate. The packer opens a second truck for a day only when the first\n // is full, but the repair passes above move stops one at a time onto whatever\n // slot has room - so a day can finish with two half-empty trucks. Two drivers\n // for 87 units is a waste when one carries 100.\n //\n // Same-day only, so this cannot break a texted date or an allowed day: both\n // are about which day, not which truck.\n //\n // Capacity is not the only test. Two trucks working two different places both\n // fit on one vehicle on paper, and merging them produced a Miami Thursday of\n // 26 stops in two tight clumps joined by a single 119km leg - Aventura and\n // Hobe Sound, 185 units, on one van. So the groups have to be neighbours as\n // well as fit: if the gap between them is wider than either group is itself,\n // they are separate territories and stay on separate trucks.\n const spanKm = (list: Stop[]) => {\n let w = 0;\n for (let i = 0; i < list.length; i++) {\n for (let j = i + 1; j < list.length; j++) w = Math.max(w, apartKm(list[i], list[j]));\n }\n return w;\n };\n const gapKm = (a: Stop[], b: Stop[]) => {\n let g = Infinity;\n for (const x of a) for (const y of b) g = Math.min(g, apartKm(x, y));\n return g;\n };\n for (let d = 0; d < days.length; d++) {\n const onDay = slots\n .filter((s) => s.slot % days.length === d && s.stops.length > 0)\n .sort((a, b) => a.slot - b.slot); // vehicle 1 first\n if (onDay.length < 2) continue;\n\n for (let i = onDay.length - 1; i > 0; i--) {\n const donor = onDay[i];\n if (donor.stops.length === 0) continue;\n for (let j = 0; j < i; j++) {\n const host = onDay[j];\n const hostCap = hardCapacities[Math.min(host.slot, hardCapacities.length - 1)];\n const reach = Math.max(spanKm(host.stops), spanKm(donor.stops), MIN_MERGE_GAP_KM);\n if (\n unitsIn(host) + unitsIn(donor) <= hostCap &&\n host.stops.length + donor.stops.length <= maxStops &&\n gapKm(host.stops, donor.stops) <= reach\n ) {\n const count = donor.stops.length;\n const units = unitsIn(donor);\n host.stops.push(...donor.stops);\n donor.stops.length = 0;\n relieved.push(\n `${dayOf(donor.slot).day}: merged ${count} stop(s)/${units}u onto one truck ` +\n `(now ${unitsIn(host)}/${hostCap})`,\n );\n break;\n }\n }\n }\n }\n\n return { moved, stuck, promoted, relieved };\n}\n\n// How lopsided two days must be before the tail is worth correcting, as a share\n// of what the day can carry. Miami and Florida run every truck at 90-100% of\n// cube, so a flat figure either fires on a 96-versus-99 difference there - noise,\n// not a back-loaded week, and each such move reshuffles a day for nothing - or\n// is set high enough to avoid that and then gives up on DC's single 100-unit van\n// while Saturday is still 16 units heavier than Friday. A tenth of the day's own\n// capacity means the same thing in both places.\nconst MIN_TAIL_GAP_SHARE = 0.1;\n\n// How far out of its way a stop may be dragged to correct that tail. Not zero:\n// the whole point is to move work off an overloaded day, and the nearest\n// candidate will rarely also be the very nearest stop on the map. But a day\n// being busy is no reason to send a van across the region.\nconst MAX_REDAY_DETOUR_KM = 10;\n\n// Settle the week after every rule has finished firing.\n//\n// The passes above move stops one at a time, each reacting to the state at the\n// moment it runs, and that state keeps changing underneath them. DC showed the\n// problem plainly: a 50-unit stop had to leave Friday, Monday had to be cleared\n// to receive it, and the work cleared off Monday was judged against a Friday\n// that still had the 50 units on it. Friday looked full, so three stops went to\n// Saturday instead - and the moment the 50 units left, Friday dropped to 49\n// against Saturday's 93. Every individual decision was right when it was made.\n//\n// So this runs last, when nothing else will move, and asks a simpler question\n// of each stop: is there an earlier day it would be better off on?\n//\n// A move needs a genuinely lighter earlier day to go to, and must not make the\n// geography worse getting there. Both, always - being merely nearer is not\n// enough on its own, and this is the part that took several attempts to get\n// right, so it is worth writing down why.\n//\n// The obvious design is \"move any stop to a day whose route passes nearer\".\n// Tried three ways - crow-flies to the truck, crow-flies to the day, real road\n// distance to the day - and every one of them made Florida worse, by 45km, then\n// 103km, then 108km, while each individual move looked like a 5-15km\n// improvement. The reason is that Florida runs every truck at 95-100% of its\n// cube. There is no slack anywhere, so a stop arriving on an \"easier\" day\n// forces that day's two vans to be re-cut, and the re-cut costs far more than\n// the proximity gain. Proximity to one stop simply does not predict what\n// happens to a full day's route.\n//\n// Where the tail really is back-loaded there is slack by definition, and the\n// arithmetic works. That is DC's case and the one this was built for: Saturday\n// carrying 93 units against Friday's 49. So the load gap is the trigger, and\n// distance is only a veto - it stops the fix from dragging a stop somewhere\n// silly, rather than being a reason to move anything by itself.\n//\n// Every move goes to an earlier day, never a later one. That is the\n// front-loading, and it is also what guarantees this terminates: each move\n// strictly lowers the total of unit-days, which cannot fall for ever.\n//\n// Only untexted stops on days they are allowed, and only onto trucks already\n// going out, so nothing here can break a promise or hire a van.\nfunction balanceDays(\n slots: { slot: number; stops: Stop[] }[],\n days: { day: string; date: string }[],\n slotCapacities: number[],\n maxStops: number,\n // Real road distances, not crow-flies.\n //\n // apartKm was the obvious thing to reach for and it is wrong here, because\n // Tampa Bay is water. Straight-line, Pinellas and Tampa are neighbours; by\n // road they are a bridge and half an hour apart. Judging moves on the crow's\n // route had Florida cheerfully hopping stops across the bay for a \"nearer\"\n // day and adding 100km to the week. The matrix knows about bridges.\n allStops: Stop[],\n distances: number[][],\n): string[] {\n const indexOf = new Map(allStops.map((s, i) => [s.opportunityId, i]));\n const roadKm = (a: Stop, b: Stop) => {\n const i = indexOf.get(a.opportunityId);\n const j = indexOf.get(b.opportunityId);\n if (i === undefined || j === undefined) return apartKm(a, b);\n return distances[i + 1][j + 1] / 1000;\n };\n const notes: string[] = [];\n const unitsIn = (list: Stop[]) => list.reduce((a, x) => a + x.units, 0);\n const capOf = (slot: number) => slotCapacities[Math.min(slot, slotCapacities.length - 1)];\n\n // Everything here is per DAY, not per truck.\n //\n // A slot is one truck on one day, but rebalanceDays re-splits each day across\n // its own trucks immediately after this runs, so which truck a stop sits on\n // now is not information - it is about to be overwritten. Measuring against a\n // single truck's stops was doing exactly that: in Florida it kept finding a\n // stop \"8km nearer\" to the other van on a day whose two vans were then\n // re-cut anyway, and the shuffle cost more mileage than the move saved.\n //\n // The only thing this pass genuinely decides is which DAY a stop belongs to.\n const trucksOn = (d: number) => slots.filter((s) => s.slot % days.length === d);\n const stopsOn = (d: number) => trucksOn(d).flatMap((s) => s.stops);\n // Only the trucks actually going out that day: an idle slot is not capacity\n // this pass may spend, since filling it would mean hiring a driver.\n const capacityOn = (d: number) =>\n trucksOn(d).filter((t) => t.stops.length > 0).reduce((a, t) => a + capOf(t.slot), 0);\n\n const allowedOn = (stop: Stop, d: number) => {\n if (stop.pinnedDate) return days[d].date === stop.pinnedDate;\n if (stop.allowedDays) return stop.allowedDays.includes(days[d].day);\n return true;\n };\n // Distance to the nearest stop already on a day, optionally ignoring one -\n // used to ask \"how far would this be from the day it is leaving, once it has\n // left\", which is the only fair comparison against the day it would join.\n const reachKm = (stop: Stop, d: number, ignore?: Stop) => {\n const others = stopsOn(d).filter((s) => s !== ignore);\n if (others.length === 0) return Infinity;\n return Math.min(...others.map((s) => roadKm(stop, s)));\n };\n // A day can take a stop only on a truck that is already going out and has\n // room for it; a day with no such truck cannot take it at any distance.\n const truckWithRoom = (d: number, stop: Stop) =>\n trucksOn(d)\n .filter((t) =>\n t.stops.length > 0 && t.stops.length < maxStops &&\n unitsIn(t.stops) + stop.units <= capOf(t.slot)\n )\n .sort((a, b) => unitsIn(a.stops) - unitsIn(b.stops))[0];\n\n // One move per round, the biggest improvement first, so the week converges on\n // the same answer whatever order the stops happen to be in.\n for (let round = 0; round < 40; round++) {\n let best: { stop: Stop; from: number; to: number; gain: number } | null = null;\n\n for (let srcDay = 1; srcDay < days.length; srcDay++) {\n const srcUnits = unitsIn(stopsOn(srcDay));\n\n for (const truck of trucksOn(srcDay)) {\n for (const stop of truck.stops) {\n if (stop.pinnedDate) continue;\n const here = reachKm(stop, srcDay, stop);\n\n for (let dstDay = 0; dstDay < srcDay; dstDay++) { // earlier days only\n if (!allowedOn(stop, dstDay)) continue;\n if (!truckWithRoom(dstDay, stop)) continue;\n const dstUnits = unitsIn(stopsOn(dstDay));\n\n // Trigger: this day is carrying materially more than that one, and\n // the move does not simply reverse the imbalance.\n const material = capacityOn(dstDay) * MIN_TAIL_GAP_SHARE;\n if (srcUnits - dstUnits < material) continue;\n if (dstUnits + stop.units > srcUnits) continue;\n // Veto: and it does not land the stop somewhere absurd.\n const gain = here - reachKm(stop, dstDay);\n if (gain < -MAX_REDAY_DETOUR_KM) continue;\n if (!best || gain > best.gain) {\n best = { stop, from: srcDay, to: dstDay, gain };\n }\n }\n }\n }\n }\n\n if (!best) break;\n const from = trucksOn(best.from).find((t) => t.stops.includes(best!.stop))!;\n const to = truckWithRoom(best.to, best.stop)!;\n from.stops.splice(from.stops.indexOf(best.stop), 1);\n to.stops.push(best.stop);\n notes.push(\n `${best.stop.accountName} (${best.stop.units}u): ${days[best.from].day} -> ` +\n `${days[best.to].day} (${best.gain > 0 ? \"+\" : \"\"}${best.gain.toFixed(0)}km) ` +\n `[${days[best.from].day} now ${unitsIn(stopsOn(best.from))}, ` +\n `${days[best.to].day} ${unitsIn(stopsOn(best.to))}]`,\n );\n }\n return notes;\n}\n\n// A day packed full of committed Route Dates has no earlier day to shed to, and\n// balanceDays only ever moves work earlier. So whatever unpinned stop happens to\n// fit in the last few units of that day stays there, however far out of the way\n// it is - DC put William Yopp in Manassas on a Wednesday that was 99/100 units\n// of pinned DC-core work, while Friday ran Woodbridge, Stafford and\n// Fredericksburg past his door with 52 units spare.\n//\n// This is the one case where a stop should be allowed to move LATER. It is kept\n// as its own pass rather than folded into balanceDays because it inverts that\n// function's two invariants deliberately, and only under conditions narrow\n// enough that they cannot recur elsewhere:\n//\n// - The source day must be nearly full, so this never fires on a slack week\n// and reshuffles days for nothing.\n// - The destination must still have real headroom AFTER taking the stop.\n// This is the guard that matters. balanceDays documents at length why\n// proximity-driven moves wrecked Florida - every truck there runs at\n// 95-100% of cube, so an arriving stop forces a re-cut that costs more than\n// the proximity gain. Requiring the destination to stay comfortably below\n// capacity means a region with no slack anywhere produces no moves at all,\n// which is precisely the Florida case.\n// - The stop must be materially nearer, by a positive threshold. Here\n// distance is the reason to move rather than merely a veto, so it has to\n// clear a real bar, not just avoid being absurd.\n// - Pinned stops are never touched: a committed Route Date outranks geography.\n//\n// Termination is by construction: each stop may be reseated at most once.\nconst RESEAT_SOURCE_FULL_SHARE = 0.9;\nconst RESEAT_HEADROOM_SHARE = 0.15;\nconst MIN_RESEAT_GAIN_KM = 5;\n\nfunction reseatStragglers(\n slots: { slot: number; stops: Stop[] }[],\n days: { day: string; date: string }[],\n slotCapacities: number[],\n maxStops: number,\n allStops: Stop[],\n distances: number[][],\n): string[] {\n const indexOf = new Map(allStops.map((s, i) => [s.opportunityId, i]));\n const roadKm = (a: Stop, b: Stop) => {\n const i = indexOf.get(a.opportunityId);\n const j = indexOf.get(b.opportunityId);\n if (i === undefined || j === undefined) return apartKm(a, b);\n return distances[i + 1][j + 1] / 1000;\n };\n const notes: string[] = [];\n const unitsIn = (list: Stop[]) => list.reduce((a, x) => a + x.units, 0);\n const capOf = (slot: number) => slotCapacities[Math.min(slot, slotCapacities.length - 1)];\n\n const trucksOn = (d: number) => slots.filter((s) => s.slot % days.length === d);\n const stopsOn = (d: number) => trucksOn(d).flatMap((s) => s.stops);\n // Only trucks already going out - filling an idle slot would mean hiring.\n const capacityOn = (d: number) =>\n trucksOn(d).filter((t) => t.stops.length > 0).reduce((a, t) => a + capOf(t.slot), 0);\n const allowedOn = (stop: Stop, d: number) =>\n stop.allowedDays ? stop.allowedDays.includes(days[d].day) : true;\n const reachKm = (stop: Stop, d: number, ignore?: Stop) => {\n const others = stopsOn(d).filter((s) => s !== ignore);\n if (others.length === 0) return Infinity;\n return Math.min(...others.map((s) => roadKm(stop, s)));\n };\n const truckWithRoom = (d: number, stop: Stop) =>\n trucksOn(d)\n .filter((t) =>\n t.stops.length > 0 && t.stops.length < maxStops &&\n unitsIn(t.stops) + stop.units <= capOf(t.slot)\n )\n .sort((a, b) => unitsIn(a.stops) - unitsIn(b.stops))[0];\n\n const reseated = new Set();\n\n for (let round = 0; round < 40; round++) {\n let best: { stop: Stop; from: number; to: number; gain: number } | null = null;\n\n for (let srcDay = 0; srcDay < days.length; srcDay++) {\n const srcCap = capacityOn(srcDay);\n if (srcCap === 0) continue;\n // Only shed from a day that is genuinely full. A day with room to spare\n // has no straggler problem - the stop is there because it belongs there.\n if (unitsIn(stopsOn(srcDay)) < srcCap * RESEAT_SOURCE_FULL_SHARE) continue;\n\n for (const truck of trucksOn(srcDay)) {\n for (const stop of truck.stops) {\n if (stop.pinnedDate) continue;\n if (reseated.has(stop.opportunityId)) continue;\n const here = reachKm(stop, srcDay, stop);\n\n for (let dstDay = 0; dstDay < days.length; dstDay++) {\n if (dstDay === srcDay) continue;\n if (!allowedOn(stop, dstDay)) continue;\n const dstCap = capacityOn(dstDay);\n if (dstCap === 0) continue;\n // The destination has to stay comfortably clear of its cube, not\n // merely fit the stop in. See the note above on Florida.\n if (\n unitsIn(stopsOn(dstDay)) + stop.units >\n dstCap * (1 - RESEAT_HEADROOM_SHARE)\n ) continue;\n if (!truckWithRoom(dstDay, stop)) continue;\n\n const gain = here - reachKm(stop, dstDay);\n if (gain < MIN_RESEAT_GAIN_KM) continue;\n if (!best || gain > best.gain) best = { stop, from: srcDay, to: dstDay, gain };\n }\n }\n }\n }\n\n if (!best) break;\n const from = trucksOn(best.from).find((t) => t.stops.includes(best!.stop))!;\n const to = truckWithRoom(best.to, best.stop)!;\n from.stops.splice(from.stops.indexOf(best.stop), 1);\n to.stops.push(best.stop);\n reseated.add(best.stop.opportunityId);\n notes.push(\n `${best.stop.accountName} (${best.stop.units}u): ${days[best.from].day} -> ` +\n `${days[best.to].day} (${best.gain.toFixed(0)}km nearer) ` +\n `[${days[best.from].day} now ${unitsIn(stopsOn(best.from))}, ` +\n `${days[best.to].day} ${unitsIn(stopsOn(best.to))}]`,\n );\n }\n return notes;\n}\n\n// Clean the boundary between two trucks sharing a day.\n//\n// The test is the one a dispatcher applies by eye: no stop should have its\n// nearest neighbour on the other truck. When that happens the two vans are\n// threading through each other and somebody drives past a door they could have\n// served. Growing zones gets the shape roughly right, but the seam is decided\n// by capacity rather than geography, and any stop that fitted no zone is simply\n// dropped on the lightest truck - so a handful always end up on the wrong side.\n//\n// Only violating stops are candidates, and each is offered two ways out: move\n// it to the truck holding its nearest neighbour, or swap it with a stop over\n// there. The swap matters because both vans are usually near full on the heavy\n// days, and a swap barely moves the loads while a move needs real headroom.\n//\n// Every candidate is scored on the whole day's violation count, and nothing is\n// applied unless that count strictly falls, so this cannot make the seam worse.\n// It also cannot always reach zero: with both trucks full and a dense corridor\n// between them, some seam is arithmetic rather than a mistake. The count that\n// remains is returned so the build can say so instead of implying a clean cut.\nfunction separateTrucks(\n daySlots: { slot: number; stops: Stop[] }[],\n stops: Stop[],\n indexOf: Map,\n dist: Dist,\n caps: number[],\n maxStops: number,\n): number {\n if (daySlots.length < 2) return 0;\n const at = (s: Stop) => indexOf.get(s.opportunityId)!;\n const unitsOf = (list: Stop[]) => list.reduce((a, s) => a + s.units, 0);\n\n // Which stops are on the wrong side, by nearest-neighbour road distance.\n const offside = () => {\n const bad: { stop: Stop; from: number; to: number }[] = [];\n for (let a = 0; a < daySlots.length; a++) {\n for (const s of daySlots[a].stops) {\n let own = Infinity;\n let best = Infinity;\n let bestSlot = -1;\n for (let b = 0; b < daySlots.length; b++) {\n for (const o of daySlots[b].stops) {\n if (o === s) continue;\n const d = dist(at(s), at(o));\n if (b === a) own = Math.min(own, d);\n else if (d < best) { best = d; bestSlot = b; }\n }\n }\n if (bestSlot >= 0 && best < own) bad.push({ stop: s, from: a, to: bestSlot });\n }\n }\n return bad;\n };\n\n const fits = (n: number, extra: Stop, without?: Stop) => {\n const list = daySlots[n].stops;\n const count = list.length + 1 - (without ? 1 : 0);\n const load = unitsOf(list) + extra.units - (without?.units ?? 0);\n return count <= maxStops && load <= caps[n];\n };\n const move = (s: Stop, from: number, to: number) => {\n daySlots[from].stops.splice(daySlots[from].stops.indexOf(s), 1);\n daySlots[to].stops.push(s);\n };\n\n let bad = offside();\n for (let round = 0; round < 40 && bad.length > 0; round++) {\n let bestCount = bad.length;\n let apply: (() => void) | null = null;\n\n for (const v of bad) {\n // Straight move, if the other truck has the room.\n if (fits(v.to, v.stop)) {\n move(v.stop, v.from, v.to);\n const after = offside().length;\n move(v.stop, v.to, v.from);\n if (after < bestCount) {\n bestCount = after;\n apply = () => move(v.stop, v.from, v.to);\n }\n }\n // Or trade places with something over there, which needs no headroom.\n for (const partner of [...daySlots[v.to].stops]) {\n if (!fits(v.to, v.stop, partner) || !fits(v.from, partner, v.stop)) continue;\n move(v.stop, v.from, v.to);\n move(partner, v.to, v.from);\n const after = offside().length;\n move(partner, v.from, v.to);\n move(v.stop, v.to, v.from);\n if (after < bestCount) {\n bestCount = after;\n apply = () => {\n move(v.stop, v.from, v.to);\n move(partner, v.to, v.from);\n };\n }\n }\n }\n\n if (!apply) break;\n apply();\n bad = offside();\n }\n return bad.length;\n}\n\n// Re-plan each day after the rules have finished shuffling stops between days.\n//\n// Everything above moves stops by rule - a texted date, an allowed day, a truck\n// over capacity - and none of it looks at a map. Stops get appended to whichever\n// truck had room, so a stop can sit on TPA while SP drives past its door, and a\n// moved stop lands at the end of the driving order instead of where it belongs.\n//\n// The constraints are all about WHICH DAY. Within a day the trucks and the\n// order are free, so this re-splits each day's work geographically across that\n// day's trucks and re-optimises the sequence. No stop changes day, so no\n// promise or allowed-day rule can be broken by it.\nfunction rebalanceDays(\n slots: { slot: number; stops: Stop[] }[],\n days: { day: string; date: string }[],\n stops: Stop[],\n distances: number[][],\n depot: { lat: number; lon: number },\n hardCapacities: number[],\n maxStops: number,\n // Split the day's stops the same way the week was split, so a banded region\n // keeps its shape instead of being re-cut into radial wedges here.\n orientation: Orientation = \"radial\",\n): string[] {\n const indexOf = new Map(stops.map((s, i) => [s.opportunityId, i]));\n const dist: Dist = (from, to) => distances[from + 1][to + 1];\n const notes: string[] = [];\n\n for (let d = 0; d < days.length; d++) {\n const everySlot = slots.filter((s) => s.slot % days.length === d);\n const all = everySlot.flatMap((s) => s.stops);\n if (all.length === 0) continue;\n\n // Re-split across the trucks this day is ALREADY using, not every truck the\n // fleet owns. A day given one van on purpose - because the packer was\n // minimising routes, or because the second van is a rental - must not have\n // a second one handed to it here just because the slot exists. Only if the\n // day genuinely will not fit on the trucks it has does another get opened.\n const dayUnits = all.reduce((a, s) => a + s.units, 0);\n const inUse = everySlot.filter((s) => s.stops.length > 0);\n const roomInUse = inUse.reduce(\n (a, s) => a + hardCapacities[Math.min(s.slot, hardCapacities.length - 1)],\n 0,\n );\n const daySlots = inUse.length > 0 && dayUnits <= roomInUse ? inUse : everySlot;\n\n if (daySlots.length > 1) {\n const caps = daySlots.map((s) =>\n hardCapacities[Math.min(s.slot, hardCapacities.length - 1)]\n );\n const before = daySlots.map((s) => s.stops.length).join(\"/\");\n\n if (orientation === \"zoned\") {\n // Same rule as the week split: re-grow the day's zones rather than\n // sweeping. Two trucks sharing a day may be working two places 100km\n // apart, and a sweep here would blend them straight back together -\n // undoing the zoning one day at a time.\n const idx = all.map((s) => indexOf.get(s.opportunityId)!)\n .filter((i) => i !== undefined);\n const order = caps.map((cap, n) => ({ cap, n })).sort((a, b) => b.cap - a.cap);\n const zoneCaps = order.map((x) => x.cap);\n const { zones, leftovers } = growZones(idx, stops, dist, zoneCaps, maxStops);\n tidyZones(zones, stops, dist, zoneCaps, maxStops);\n\n // Heaviest zone onto the roomiest truck - the same pairing the week\n // split uses, and for the same reason. Zones come back in growth order,\n // which is geographic, so pairing them positionally hands zone 0 to the\n // first slot whatever its size. When a day collapses into a single zone\n // that put the empty one on the owned van and all the work on the\n // rental: a DC Thursday of 15 stops dispatched to DC Van-2 with DC Van\n // sitting idle. Sorting by size fixes the labelling, and because `order`\n // is stable across equal capacities, an empty zone falls to the last\n // slot - which is exactly the truck you least want to send out.\n daySlots.forEach((s) => (s.stops = []));\n zones\n .map((z) => ({ z, units: z.reduce((a, i) => a + stops[i].units, 0) }))\n .sort((a, b) => b.units - a.units)\n .forEach((x, rank) => {\n if (rank < order.length) daySlots[order[rank].n].stops = x.z.map((i) => stops[i]);\n });\n // A stop that fitted nowhere still has to go out today. Give it to the\n // truck whose work it is nearest to, not the one carrying least: these\n // are precisely the stops that end up on the wrong side of the seam,\n // and \"lightest\" ignores the map entirely. Load only breaks ties among\n // trucks with room, and a full one is skipped rather than overloaded.\n const load = (s: { stops: Stop[] }) => s.stops.reduce((u, x) => u + x.units, 0);\n for (const i of leftovers) {\n const stop = stops[i];\n const near = (s: { slot: number; stops: Stop[] }) =>\n s.stops.length === 0 ? Infinity : Math.min(...s.stops.map((o) => dist(i, indexOf.get(o.opportunityId)!)));\n const room = daySlots.filter((s, n) =>\n load(s) + stop.units <= caps[n] && s.stops.length < maxStops\n );\n // Copied before sorting: daySlots is positional - its order maps to\n // the slots and to caps - so sorting it in place silently re-labels\n // which truck is which. That put a whole DC Thursday on the rental\n // and left the owned van empty.\n const pool = [...(room.length > 0 ? room : daySlots)]\n .sort((a, b) => near(a) - near(b) || load(a) - load(b));\n pool[0].stops.push(stop);\n }\n\n // Finally, tidy the seam. Zones are grown against capacity, so the line\n // between them lands where the cube says rather than where the map does.\n const left = separateTrucks(daySlots, stops, indexOf, dist, caps, maxStops);\n if (left > 0) {\n notes.push(\n `${days[d].day}: ${left} stop(s) still nearer the other truck - ` +\n `both trucks are too full to trade them`,\n );\n }\n } else {\n // Sweep the day's stops by compass angle from the depot and cut at\n // capacity, so each truck gets a contiguous wedge instead of whatever the\n // rules happened to leave it.\n const key = (s: Stop) =>\n orientation === \"east-west\"\n ? -s.lat // north to south, matching how the week was banded\n : orientation === \"north-south\"\n ? -s.lon\n : Math.atan2(s.lat - depot.lat, s.lon - depot.lon);\n const swept = all\n .map((s) => ({ s, a: key(s) }))\n .sort((x, y) => x.a - y.a)\n .map((x) => x.s);\n daySlots.forEach((s) => (s.stops = []));\n\n // Split by each truck's SHARE of the day's capacity, not by filling the\n // first truck up and dumping the rest. Filling first is what put 146\n // units on a 100-unit van: the 192 truck hit the 30-stop cap at 135\n // units and everything heavy that was left had nowhere else to go.\n //\n // Unit capacity is physical and the stop cap is a working preference, so\n // when they conflict the stop cap gives way - one extra drop beats a load\n // that will not fit on the vehicle.\n const totalUnits = all.reduce((a, s) => a + s.units, 0);\n const totalCap = caps.reduce((a, c) => a + c, 0) || 1;\n const targets = caps.map((c) => (totalUnits * c) / totalCap);\n\n let truck = 0;\n let used = 0;\n for (const stop of swept) {\n const pastShare = used > 0 && used + stop.units > targets[truck];\n if (pastShare && truck < daySlots.length - 1) {\n truck++;\n used = 0;\n }\n daySlots[truck].stops.push(stop);\n used += stop.units;\n }\n }\n for (const s of daySlots) {\n if (s.stops.length > maxStops) {\n notes.push(\n `${days[d].day} ${slotLabel(s.slot, days).vehicle}: ${s.stops.length} stops, ` +\n `over the ${maxStops} cap - kept together so the smaller truck is not overloaded`,\n );\n }\n }\n const after = daySlots.map((s) => s.stops.length).join(\"/\");\n if (before !== after) {\n notes.push(`${days[d].day}: re-split ${all.length} stops across trucks, ${before} -> ${after}`);\n }\n }\n\n // Order every truck properly, including the ones that were not re-split.\n for (const s of daySlots) {\n if (s.stops.length < 2) continue;\n const idx = s.stops.map((x) => indexOf.get(x.opportunityId)!).filter((i) => i !== undefined);\n if (idx.length !== s.stops.length) continue; // defensive: unknown stop\n s.stops = twoOpt(nearestNeighbour(idx, dist), dist).map((i) => stops[i]);\n }\n }\n return notes;\n}\n\nfunction slotLabel(slot: number, days: { day: string; date: string }[]) {\n const { day, date } = days[slot % days.length];\n const vehicle = Math.floor(slot / days.length) + 1;\n return { day, date, vehicle };\n}\n\n// ============================================================================\n// Sheet I/O\n// ============================================================================\n\nconst BLOCK_HEADERS = [\n \"Vehicle\",\n \"Stop #\",\n \"Opportunity\",\n \"Account\",\n \"Address\",\n \"Close Date\",\n \"Units\",\n \"Running Total\",\n \"Products\",\n \"Opp ID\",\n];\nconst OPP_ID_OFFSET = BLOCK_HEADERS.indexOf(\"Opp ID\");\nconst BLOCK_WIDTH = BLOCK_HEADERS.length;\nconst GAP = 1; // blank spacer column between day blocks\nconst STRIDE = BLOCK_WIDTH + GAP;\nconst sheetRange = (tab: string) => `${tab}!A1:BZ2000`;\n\n// Each region writes to its own tab. A tab the spreadsheet does not have yet is\n// created on demand, otherwise the values API 400s on an unknown range.\nasync function ensureTab(sheetId: string, token: string, tab: string) {\n const res = await fetch(\n `https://sheets.googleapis.com/v4/spreadsheets/${sheetId}?fields=sheets.properties.title`,\n { headers: { Authorization: `Bearer ${token}` } },\n );\n if (!res.ok) return; // let the write surface the real error\n const body = await res.json().catch(() => ({}));\n const titles: string[] = (body.sheets ?? []).map((s: any) => s.properties?.title).filter(Boolean);\n if (titles.includes(tab)) return;\n\n console.log(`Creating sheet tab \"${tab}\"`);\n await fetch(`https://sheets.googleapis.com/v4/spreadsheets/${sheetId}:batchUpdate`, {\n method: \"POST\",\n headers: { Authorization: `Bearer ${token}`, \"Content-Type\": \"application/json\" },\n body: JSON.stringify({ requests: [{ addSheet: { properties: { title: tab } } }] }),\n });\n}\n\n// Day-block headers carry the ISO date (\"Wednesday 2026-08-12\") so a later\n// run can find a specific day's block again unambiguously - a bare weekday\n// name would also match the same weekday from a previous week.\nconst dayHeaderText = (day: string, date: string) => `${day} ${date}`;\n\n// Stops already out on today's truck. The previous run wrote today's block\n// into the sheet; those routes are being driven right now, so they must not\n// be re-planned. Returns the Opportunity Ids under today's date header.\n//\n// Returns an empty set if the sheet is unreadable, has no block for today, or\n// predates the \"Opp ID\" column - in all of those cases there is nothing we can\n// confidently call already-assigned, and the rebuild proceeds from scratch.\nexport async function readTodaysAssignedIds(\n sheetId: string,\n token: string,\n today: string,\n tab = \"Sheet1\",\n): Promise> {\n const assigned = new Set();\n\n const res = await fetch(\n `https://sheets.googleapis.com/v4/spreadsheets/${sheetId}/values/${encodeURIComponent(sheetRange(tab))}`,\n { headers: { Authorization: `Bearer ${token}` } },\n );\n if (!res.ok) {\n console.log(`Could not read existing sheet (${res.status}); assuming nothing is assigned yet`);\n return assigned;\n }\n\n const values: string[][] = (await res.json().catch(() => ({})))?.values ?? [];\n if (values.length < 3) return assigned;\n\n const blockStart = (values[0] ?? []).findIndex((cell) => String(cell ?? \"\").includes(today));\n if (blockStart === -1) return assigned;\n\n for (const row of values.slice(2)) {\n // The LOAD LIST / UNASSIGNED / GEOCODE FAILURES sections live below the\n // day grid and reuse the same columns, so stop before reading them as\n // route rows.\n const marker = String(row?.[0] ?? \"\");\n if (\n marker.startsWith(\"LOAD LIST\") || marker.startsWith(\"UNASSIGNED\") ||\n marker.startsWith(\"GEOCODE\")\n ) break;\n\n const id = String(row?.[blockStart + OPP_ID_OFFSET] ?? \"\").trim();\n if (id) assigned.add(id);\n }\n return assigned;\n}\n\nexport async function writeRoutesToSheet(\n sheetId: string,\n token: string,\n days: { day: string; date: string }[],\n slots: { slot: number; stops: Stop[] }[],\n unassigned: Stop[],\n geocodeFailures: string[],\n tab = \"Sheet1\",\n) {\n await ensureTab(sheetId, token, tab);\n // Each delivery day gets its own side-by-side block of columns, so the\n // whole week is scannable left-to-right instead of scrolling through one\n // long day-labeled column.\n const totalCols = days.length * STRIDE - GAP;\n const blank = () => new Array(totalCols).fill(\"\");\n\n const byDate = new Map(days.map((d) => [d.date, []]));\n for (const { slot, stops } of slots) {\n const { date, vehicle } = slotLabel(slot, days);\n byDate.get(date)!.push({ vehicle, stops });\n }\n\n // Rows carrying a stop that was forced on over capacity, so they can be\n // turned red once the values are in. Tracked per day block because each day\n // occupies its own column range.\n const overPackedCells: { date: string; blockRow: number }[] = [];\n\n const dayBlockRows = new Map();\n let maxRows = 0;\n for (const { date } of days) {\n const blockRows: (string | number)[][] = [];\n for (const { vehicle, stops } of byDate.get(date)!) {\n let running = 0;\n stops.forEach((s, i) => {\n running += s.units;\n if (s.overPacked) overPackedCells.push({ date, blockRow: blockRows.length });\n blockRows.push([\n `Vehicle ${vehicle}`,\n i + 1,\n // The note rides on the stop name so it is impossible to miss on a\n // printed sheet, red or not.\n s.overPacked ? `*** OVER CAPACITY - TEXT SENT *** ${s.opportunityName}` : s.opportunityName,\n s.accountName,\n // Loudly marked: this pin is the ZIP centroid, not the address.\n s.precision === \"approx\" ? `~APPROX~ ${s.address}` : s.address,\n s.closeDate,\n s.units,\n running,\n (s.products ?? []).map((p) => `${p.qty} x ${p.name}`).join(\"; \"),\n s.opportunityId,\n ]);\n });\n }\n dayBlockRows.set(date, blockRows);\n maxRows = Math.max(maxRows, blockRows.length);\n }\n\n const rows: (string | number)[][] = [];\n\n const dayHeaderRow = blank();\n days.forEach(({ day, date }, di) => {\n dayHeaderRow[di * STRIDE] = dayHeaderText(day, date);\n });\n rows.push(dayHeaderRow);\n\n const subHeaderRow = blank();\n days.forEach((_, di) => {\n BLOCK_HEADERS.forEach((h, ci) => {\n subHeaderRow[di * STRIDE + ci] = h;\n });\n });\n rows.push(subHeaderRow);\n\n for (let r = 0; r < maxRows; r++) {\n const row = blank();\n days.forEach(({ date }, di) => {\n const blockRows = dayBlockRows.get(date)!;\n if (r < blockRows.length) {\n blockRows[r].forEach((val, ci) => {\n row[di * STRIDE + ci] = val;\n });\n }\n });\n rows.push(row);\n }\n\n // Load list: what the warehouse puts on each truck. Sits directly under the\n // day grid so each block's totals line up with the route above them.\n rows.push(blank());\n const loadHeader = blank();\n days.forEach(({ date }, di) => {\n const trucks = byDate.get(date)!;\n loadHeader[di * STRIDE] = trucks.length > 0 ? \"LOAD LIST\" : \"\";\n });\n rows.push(loadHeader);\n\n const loadLines = new Map();\n let maxLoadRows = 0;\n for (const { date } of days) {\n const lines: (string | number)[][] = [];\n for (const { vehicle, stops: truckStops } of byDate.get(date)!) {\n lines.push([`Vehicle ${vehicle}`, \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\", \"\"]);\n for (const p of aggregateProducts(truckStops)) lines.push([\"\", p.qty, p.name]);\n }\n loadLines.set(date, lines);\n maxLoadRows = Math.max(maxLoadRows, lines.length);\n }\n for (let r = 0; r < maxLoadRows; r++) {\n const row = blank();\n days.forEach(({ date }, di) => {\n const lines = loadLines.get(date)!;\n if (r < lines.length) lines[r].forEach((v, ci) => { if (v !== \"\") row[di * STRIDE + ci] = v; });\n });\n rows.push(row);\n }\n\n // Note: the sections below deliberately leave the \"Opp ID\" column empty, so\n // readTodaysAssignedIds can never mistake an unassigned or failed stop for\n // one that is out on a truck.\n if (unassigned.length > 0) {\n rows.push(blank());\n const header = blank();\n header[0] = \"UNASSIGNED - over capacity for the remaining days\";\n rows.push(header);\n for (const s of unassigned) {\n const row = blank();\n row[2] = s.opportunityName;\n row[3] = s.accountName;\n row[4] = s.address;\n row[5] = s.closeDate;\n row[6] = s.units;\n rows.push(row);\n }\n }\n\n rows.push(blank());\n const failHeader = blank();\n failHeader[0] = \"GEOCODE FAILURES\";\n rows.push(failHeader);\n if (geocodeFailures.length > 0) {\n for (const f of geocodeFailures) {\n const row = blank();\n row[2] = f;\n rows.push(row);\n }\n } else {\n const row = blank();\n row[2] = \"(none)\";\n rows.push(row);\n }\n\n // Clear the sheet first so re-runs don't just keep appending stale data.\n await fetch(\n `https://sheets.googleapis.com/v4/spreadsheets/${sheetId}/values/${encodeURIComponent(sheetRange(tab))}:clear`,\n { method: \"POST\", headers: { Authorization: `Bearer ${token}` } },\n );\n\n const res = await fetch(\n `https://sheets.googleapis.com/v4/spreadsheets/${sheetId}/values/${encodeURIComponent(tab + \"!A1\")}?valueInputOption=RAW`,\n {\n method: \"PUT\",\n headers: { Authorization: `Bearer ${token}`, \"Content-Type\": \"application/json\" },\n body: JSON.stringify({ values: rows }),\n },\n );\n const body = await res.json();\n if (!res.ok) throw new Error(`Sheets write failed: ${res.status} ${JSON.stringify(body)}`);\n\n // Values carry no formatting, so the red has to be a second call. Best effort:\n // the note text is already in the cell, so a failure here loses the colour\n // but never the warning.\n if (overPackedCells.length > 0) {\n try {\n const meta = await (await fetch(\n `https://sheets.googleapis.com/v4/spreadsheets/${sheetId}?fields=sheets.properties`,\n { headers: { Authorization: `Bearer ${token}` } },\n )).json();\n const gid = (meta.sheets ?? [])\n .map((s: any) => s.properties)\n .find((p: any) => p.title === tab)?.sheetId;\n\n if (gid !== undefined) {\n // +2 for the day header and sub-header rows above the grid.\n const headerRows = 2;\n const requests = overPackedCells.map(({ date, blockRow }) => {\n const di = days.findIndex((d) => d.date === date);\n return {\n repeatCell: {\n range: {\n sheetId: gid,\n startRowIndex: headerRows + blockRow,\n endRowIndex: headerRows + blockRow + 1,\n startColumnIndex: di * STRIDE,\n endColumnIndex: di * STRIDE + BLOCK_HEADERS.length,\n },\n cell: {\n userEnteredFormat: {\n textFormat: { bold: true, foregroundColor: { red: 0.8, green: 0.1, blue: 0.1 } },\n },\n },\n fields: \"userEnteredFormat.textFormat\",\n },\n };\n });\n const fmt = await fetch(\n `https://sheets.googleapis.com/v4/spreadsheets/${sheetId}:batchUpdate`,\n {\n method: \"POST\",\n headers: { Authorization: `Bearer ${token}`, \"Content-Type\": \"application/json\" },\n body: JSON.stringify({ requests }),\n },\n );\n console.log(\n fmt.ok\n ? `Marked ${overPackedCells.length} over-capacity row(s) red on \"${tab}\"`\n : `Red formatting failed (${fmt.status}); the OVER CAPACITY text is still on the row`,\n );\n }\n } catch (err) {\n console.log(`Red formatting skipped: ${String(err).slice(0, 120)}`);\n }\n }\n return body;\n}\n\n// ============================================================================\n// Main\n// ============================================================================\n\n// weekOffset 0 = the rest of this delivery week (tomorrow through the upcoming\n// Saturday). weekOffset 1 = next week only: the full delivery week after that\n// Saturday, with the order window extended to the following Saturday. Useful\n// for planning ahead without disturbing the current week.\n// writeSheet: false builds the plan and refreshes the map only, leaving the\n// Google Sheet untouched. Used for looking at another week without clobbering\n// the week the drivers are currently working from.\n// optimize: false pulls and geocodes the stops but skips the distance matrix\n// and the packing entirely, producing a plain map of where the work is. That\n// matters for scale: routing 355 Miami stops needs 64 sequential OSRM requests\n// (~90s) and blows the HTTP timeout, while plotting them needs none at all.\nasync function buildDcRoutes(\n options: {\n weekOffset?: number;\n writeSheet?: boolean;\n region?: string;\n optimize?: boolean;\n } = {},\n) {\n const region = getRegion(options.region);\n const weekOffset = options.weekOffset ?? 0;\n const optimize = options.optimize ?? true;\n const writeSheet = (options.writeSheet ?? true) && optimize;\n const MAX_VEHICLES = region.vehicleCapacities.length;\n const today = todayEastern();\n const thisSaturday = upcomingSaturday(today);\n\n // Which week does week 0 actually schedule?\n //\n // Normally the one we are in. But once its last weekday has gone - Friday\n // evening onwards, and all day Saturday - there is nothing left to plan and\n // week 0 becomes the following week. Every other offset counts from whichever\n // week that turns out to be, so \"next week\" is always the week after the one\n // on screen. Counting from the calendar week instead meant that on a Friday\n // or a Saturday both tabs resolved to the same days.\n const openThisWeek = remainingDeliveryDays(today, thisSaturday);\n const baseSaturday = openThisWeek.length > 0 ? thisSaturday : addDays(thisSaturday, 7);\n const targetSaturday = addDays(baseSaturday, 7 * weekOffset);\n\n // Weekdays only for now. Saturday is added below, and only if the stops that\n // come back cannot fit inside Mon-Fri.\n let days = weekOffset === 0 && openThisWeek.length > 0\n ? openThisWeek\n : weekdaysEnding(targetSaturday);\n\n // The week rolls forward on a Friday, straight past tomorrow to next Monday.\n // That silently abandons Saturday work: dispatch\n // routinely dates stops for the Saturday and texts the customer, and those\n // records were landing on next Monday with the promise already broken.\n //\n // Saturday stays overflow-only in the normal case - this is not a standing\n // sixth day. It is scheduled only when work is already committed to it.\n if (\n weekOffset === 0 && region.includeSaturday &&\n thisSaturday > today && days[0].date > thisSaturday\n ) {\n const waiting = await countDueOn(region, thisSaturday);\n if (waiting > 0) {\n days = [{ day: dayName(thisSaturday), date: thisSaturday }];\n console.log(\n `${waiting} stop(s) already dated ${thisSaturday} - scheduling tomorrow's ` +\n `Saturday rather than rolling forward to next week`,\n );\n }\n }\n\n // The demand window has to end with the days actually being scheduled, not\n // with the calendar week the run started in. On a Friday or Saturday nothing\n // is left this week, so deliveryDays rolls forward to next Monday - and if\n // endDate stayed on this Saturday the SOQL would plan Mon-Fri while only\n // pulling work due by the weekend. That is how a Friday rebuild produced 9\n // Miami stops when the same five days really hold 230.\n //\n // A run that ends on a Saturday is already at its own window end; walking\n // forward would hand a single Saturday a whole week of demand.\n const lastDay = days[days.length - 1].date;\n const endDate = dayOfWeek(lastDay) === 6 ? lastDay : saturdayAfter(days).date;\n\n // How far back to look for orders.\n //\n // The week being driven sweeps up everything still outstanding, three months\n // back - that is the only plan overdue work can land on, and without it an\n // order missed in June is invisible for ever.\n //\n // A forward week takes its own Sunday to Saturday and nothing else. Overdue\n // orders belong to the week actually going out, not to one being planned:\n // letting them through put an order due Friday the 21st on the following\n // Monday's truck while the current week had never picked it up at all.\n const windowStart = weekOffset === 0\n ? monthsBefore(endDate, OVERDUE_LOOKBACK_MONTHS)\n : weekStartFor(endDate);\n\n console.log(\n `[${region.label}] Today is ${dayName(today)} ${today}` +\n (weekOffset ? ` (planning +${weekOffset} week)` : \"\") +\n `; scheduling ${days.length} day(s): ` +\n days.map((d) => `${d.day} ${d.date}`).join(\", \"),\n );\n\n const sheetId = Deno.env.get(\"DC_ROUTE_SHEET_ID\")!;\n const token = await getAccessToken();\n\n // What a previous build already committed to today's truck.\n const dispatchLog = await loadDispatchLog(region);\n let alreadyAssigned = new Set(dispatchLog[today] ?? []);\n if (alreadyAssigned.size === 0) {\n // Ledger has nothing for today (first run after this change, or the blob\n // was lost). Fall back to the old sheet readback, which still works as long\n // as today's column has not been overwritten yet.\n alreadyAssigned = await readTodaysAssignedIds(sheetId, token, today, region.sheetTab);\n if (alreadyAssigned.size > 0) {\n console.log(`Ledger empty for ${today}; recovered ${alreadyAssigned.size} stop(s) from the sheet`);\n }\n }\n // Let Salesforce overrule the ledger.\n //\n // The ledger is the builder's own memory of what it planned, written before\n // there was any way to record that fact in Salesforce. It is a guess about\n // reality, and nothing has ever checked it against the CRM - so a stop could\n // be \"used up\" in the ledger while Salesforce still showed it undelivered and\n // due later in the week, invisible to the plan and to dispatch alike. Rick\n // Carlson sat in exactly that gap: ledgered for Tuesday, no Route Date, close\n // date Thursday, on nobody's truck.\n //\n // So each rebuild now re-reads the ledgered records. A stop that is still\n // Delivery Due and is not routed for today was never actually committed,\n // whatever the ledger remembers, and goes back on the map. Anything the CRM\n // does not return, or that has moved off Delivery Due, is left excluded - the\n // ledger keeps its authority over stops Salesforce knows nothing about.\n //\n // As Route Date gets written on commit this correction fires less and less,\n // and the ledger fades into a fallback rather than a second opinion.\n if (alreadyAssigned.size > 0) {\n const ids = [...alreadyAssigned];\n const stale = new Set();\n for (let i = 0; i < ids.length; i += 200) {\n const chunk = ids.slice(i, i + 200).map((id) => `'${id}'`).join(\",\");\n const rows = await sfQuery(\n `SELECT Id, StageName, Route_Date__c FROM Opportunity WHERE Id IN (${chunk})`,\n );\n for (const r of rows) {\n const routedForToday = r.Route_Date__c && r.Route_Date__c === today;\n if (r.StageName === \"Delivery Due\" && !routedForToday) stale.add(r.Id);\n }\n }\n if (stale.size > 0) {\n for (const id of stale) alreadyAssigned.delete(id);\n console.log(\n `${stale.size} ledger entr${stale.size === 1 ? \"y\" : \"ies\"} for ${today} contradicted by ` +\n `Salesforce (still Delivery Due, not routed today) - putting them back on the map`,\n );\n }\n }\n console.log(`${alreadyAssigned.size} stop(s) already assigned to today's route - excluding them`);\n\n // Planning ahead: drop anything this week's trucks are already carrying.\n //\n // The demand window is cumulative - everything still \"Delivery Due\" from\n // windowStart onwards - which is right for the week being driven but makes a\n // forward week a superset of it. Measured on 2026-08-15, 160 of Miami's 277\n // next-week stops were due THIS week and already on a truck, so the plan\n // double-counted work about to be delivered and reported a capacity crisis\n // that did not exist.\n //\n // Reads the committed week's own snapshot rather than the dispatch ledger:\n // the ledger records what went out on a given day, and what matters here is\n // everything the current plan has spoken for, across all of its days.\n if (weekOffset > 0) {\n const committed = await blob.getJSON(snapshotKeyFor(region.key, 0)) as MapSnapshot | undefined;\n const ids = new Set((committed?.stops ?? []).filter((s) => s.day).map((s) => s.id));\n if (ids.size > 0) {\n for (const id of ids) alreadyAssigned.add(id);\n console.log(\n `${ids.size} stop(s) already committed on the current week's plan ` +\n `(${committed!.days.map((d) => d.date.slice(5)).join(\", \")}) - excluding them`,\n );\n }\n }\n\n const allOpps = await sfQuery(\n `SELECT Id, Name, CloseDate, CreatedDate, Total_Amount_of_Products__c,\n Total_Units_for_Order__c, AccountId,\n Order_Summary__c, Truck_Type__c, Route_Date__c, Route_Name__c, SMS_Sent__c,\n Email_Address__c\n FROM Opportunity\n WHERE Delivery_Region__c IN (${region.salesforceRegions.map((r) => `'${r}'`).join(\",\")})\n AND StageName = 'Delivery Due'\n AND CloseDate >= ${windowStart}\n AND ${dueBy(endDate)}\n ORDER BY CloseDate ASC`.replace(/\\s+/g, \" \").trim(),\n );\n // Anything dated today is going out today - it does not belong on a map of\n // what still has to be planned. Two independent signals, because neither is\n // complete on its own:\n // - the dispatch ledger: what a previous build committed to today's truck\n // - the delivery date on the record itself\n //\n // Route Date is the field dispatch actually schedules on, so it wins when\n // set; CloseDate is the fallback for anything not yet on a route. In this\n // org the two disagree on ~92% of scheduled records, so using CloseDate\n // alone put stops on the map that were already out on a truck.\n //\n // ROUTE_DATE_FLOOR guards the sentinels - see its definition above.\n //\n // Only a Route Date of today takes a stop off this map, never a Close Date.\n //\n // The two mean different things. Route Date says dispatch put it on today's\n // truck; Close Date only says it is due today, which is exactly the state of\n // something that still needs routing. Treating both as \"today's work\" hid\n // four DC stops that nobody had scheduled - due today, on no truck, and\n // absent from the one screen that would have caught it.\n const routedToday = (o: any) =>\n o.Route_Date__c && o.Route_Date__c >= ROUTE_DATE_FLOOR && o.Route_Date__c === today;\n\n const dueToday = allOpps.filter(routedToday);\n const oppRecords = allOpps.filter((o) => !alreadyAssigned.has(o.Id) && !routedToday(o));\n if (dueToday.length > 0) {\n console.log(\n `${dueToday.length} stop(s) already routed for today (${today}) - excluded from the map`,\n );\n }\n const dueTodayUnrouted = allOpps.filter((o) =>\n !routedToday(o) && o.CloseDate === today && !alreadyAssigned.has(o.Id)\n ).length;\n if (dueTodayUnrouted > 0) {\n console.log(\n `${dueTodayUnrouted} stop(s) due today but on no route - kept on the map to be scheduled`,\n );\n }\n console.log(\n `Found ${allOpps.length} ${region.label} opportunities due ${windowStart} to ${endDate}` +\n (weekOffset === 0\n ? ` (${OVERDUE_LOOKBACK_MONTHS}-month overdue sweep)`\n : ` (this week only - overdue orders stay on week 0)`) +\n `; ` +\n `${oppRecords.length} to route after dropping today's assignments`,\n );\n if (oppRecords.length === 0) {\n return { totalStops: 0, days, routes: [], unassignedCount: 0, geocodeFailures: [] };\n }\n\n const accountIds = [...new Set(oppRecords.map((o) => o.AccountId))];\n const accountIdList = accountIds.map((id) => `'${id}'`).join(\",\");\n // Delivery eligibility, mirroring the saved filter in the mapping tool:\n // Night Delivery != Yes AND (balance is null OR balance < 13 OR override)\n //\n // Two field names are deliberately odd and are NOT typos here:\n // - Override_Outstandling_Balance__c is misspelled in the org itself.\n // - Night_Delivery__c is the one that carries data; a second field with the\n // identical \"Night Delivery\" label (Night_Delivery1__c) holds only\n // free-text drop notes, and Night_Delivery_Acceptable__c is false on\n // every account.\n // Balance_for_Valtown__c is a formula that surfaces the account's Total\n // Balance Amount without the fw1 managed package, whose objects and fields\n // are invisible to this connection (it is not licensed for this user). The\n // values match Balance_for_Wordpress__c exactly across every active account.\n //\n // The saved filter has an \"equals NULL\" branch. A currency formula never\n // evaluates to null, so that branch is dead here - the \"< limit\" test covers\n // the zero-balance case on its own. Null is still handled below in case this\n // is ever pointed at a plain currency field.\n const BALANCE_FIELD = \"Balance_for_Valtown__c\";\n const BALANCE_LIMIT = 13;\n // The last four lines are not used for routing at all - they are carried so\n // the OptimoRoute payload can match what the Cloud Run bridge already sends:\n // the load split by water type, the customer's contact details for delivery\n // notifications, and the apartment/suite that Full_Address__c buries in free\n // text.\n const ACCOUNT_FIELDS = `Id, Name, Full_Address__c,\n Client_Location__Latitude__s, Client_Location__Longitude__s,\n Lattitude__c, Longitude__c, Allowed_days__c,\n Closest_Warehouse_Latitude__c, Closest_Warehouse_Longitude__c,\n Night_Delivery__c, Override_Outstandling_Balance__c,\n Amount_of_Bottles__c, Spring_Bottle_Amount__c,\n Water_Type__c, Apt_1__c, Phone, Email_Address__c`;\n\n // The balance lives in a managed package (fw1__). Where that package is not\n // licensed for this connection the field is not queryable at all, so fall\n // back to building without the balance gate rather than failing the run -\n // but say so loudly, because it silently widens who gets delivered to.\n let haveBalance = true;\n let accounts: any[];\n try {\n accounts = await sfQuery(\n `SELECT ${ACCOUNT_FIELDS}, ${BALANCE_FIELD}\n FROM Account WHERE Id IN (${accountIdList})`.replace(/\\s+/g, \" \").trim(),\n );\n } catch (e) {\n if (!String(e).includes(\"No such column\")) throw e;\n haveBalance = false;\n console.log(\n `WARNING: ${BALANCE_FIELD} is not readable by this connection, so the ` +\n `outstanding-balance filter is NOT being applied. Accounts that owe ` +\n `money will still be routed.`,\n );\n accounts = await sfQuery(\n `SELECT ${ACCOUNT_FIELDS} FROM Account WHERE Id IN (${accountIdList})`\n .replace(/\\s+/g, \" \").trim(),\n );\n }\n const accountsById = new Map(accounts.map((a) => [a.Id, a]));\n\n // Stops someone pulled off the plan by hand on the map. They stay off until\n // the window rolls, so a rebuild does not quietly put them back.\n const removedIds = await loadRemovedIds(endDate, region);\n let removedByHand = 0;\n\n const nightHeld: string[] = [];\n const balanceHeld: string[] = [];\n const routableOpps = oppRecords.filter((o) => {\n if (removedIds.has(o.Id)) {\n removedByHand++;\n return false;\n }\n const a = accountsById.get(o.AccountId);\n if (!a) return true; // no account row - the geocode step reports it instead\n if (String(a.Night_Delivery__c ?? \"\").trim().toLowerCase() === \"yes\") {\n nightHeld.push(a.Name);\n return false;\n }\n if (haveBalance) {\n const bal = a[BALANCE_FIELD];\n const owes = bal !== null && bal !== undefined && Number(bal) >= BALANCE_LIMIT;\n if (owes && a.Override_Outstandling_Balance__c !== true) {\n balanceHeld.push(`${a.Name} (${bal})`);\n return false;\n }\n }\n return true;\n });\n if (removedByHand > 0) {\n console.log(`${removedByHand} stop(s) removed from the route by hand on the map`);\n }\n if (nightHeld.length > 0) {\n console.log(`${nightHeld.length} stop(s) held back: Night Delivery = Yes`);\n }\n if (balanceHeld.length > 0) {\n console.log(\n `${balanceHeld.length} stop(s) held back: balance >= ${BALANCE_LIMIT} and no override`,\n );\n for (const n of balanceHeld.slice(0, 12)) console.log(` ${n}`);\n if (balanceHeld.length > 12) console.log(` ... and ${balanceHeld.length - 12} more`);\n }\n if (routableOpps.length === 0) {\n return { totalStops: 0, days, routes: [], unassignedCount: 0, geocodeFailures: [] };\n }\n\n const geocodeFailures: string[] = [];\n const rescued: string[] = []; // needed a fallback geocoder to place at all\n const strayCoords: string[] = []; // stored coordinate nowhere near its warehouse\n let fromStored = 0; // placed straight from the account, no geocoding needed\n const geoCache = await loadGeoCache();\n const geoCacheSizeBefore = Object.keys(geoCache).length;\n\n const stopResults = await Promise.all(routableOpps.map(async (opp) => {\n const account = accountsById.get(opp.AccountId);\n if (!account?.Full_Address__c) {\n geocodeFailures.push(`${opp.Name} (${opp.Id}): no address on account`);\n return null;\n }\n\n // Coordinate sources, best first:\n // 1. Lattitude__c / Longitude__c - set on ~all accounts and exact.\n // 2. Client_Location__* - the original pair, empty across the whole org.\n // 3. Geocoding the address, which is slow and sometimes only resolves to\n // a ZIP centroid.\n // A stored coordinate is only trusted when it is near the account's own\n // closest warehouse; a few Miami accounts carry New Jersey coordinates, and\n // routing to those would be worse than geocoding the address.\n let lat = null;\n let lon = null;\n let precision: \"exact\" | \"approx\" = \"exact\";\n const storedLat = Number(account.Lattitude__c);\n const storedLon = Number(account.Longitude__c);\n if (\n Number.isFinite(storedLat) && Number.isFinite(storedLon) &&\n !(storedLat === 0 && storedLon === 0) &&\n Math.abs(storedLat) <= 90 && Math.abs(storedLon) <= 180\n ) {\n const wLat = Number(account.Closest_Warehouse_Latitude__c);\n const wLon = Number(account.Closest_Warehouse_Longitude__c);\n const plausible = !Number.isFinite(wLat) || !Number.isFinite(wLon) ||\n Math.hypot((storedLat - wLat) * 111, (storedLon - wLon) * 98) <= MAX_KM_FROM_WAREHOUSE;\n if (plausible) {\n lat = storedLat;\n lon = storedLon;\n fromStored++;\n } else {\n strayCoords.push(\n `${opp.Name}: stored ${storedLat.toFixed(4)},${storedLon.toFixed(4)} is far from its ` +\n `warehouse - geocoding the address instead`,\n );\n }\n }\n if (lat == null || lon == null) {\n lat = account.Client_Location__Latitude__s;\n lon = account.Client_Location__Longitude__s;\n }\n if (lat == null || lon == null) {\n const geo = await geocodeAddress(account.Full_Address__c, geoCache);\n if (!geo) {\n geocodeFailures.push(`${opp.Name} (${opp.Id}): geocode failed for \"${account.Full_Address__c}\"`);\n return null;\n }\n if (geo.source !== \"census\") {\n rescued.push(\n `[${geo.source}${geo.precision === \"approx\" ? \", APPROXIMATE\" : \"\"}] ` +\n `${opp.Name}: \"${account.Full_Address__c}\" -> ${geo.used}`,\n );\n }\n lat = geo.lat;\n lon = geo.lon;\n precision = geo.precision;\n }\n\n // \"Monday;Wednesday;Friday\" -> [\"Monday\",\"Wednesday\",\"Friday\"]. Blank means\n // no restriction; an empty list would mean \"no day works\", which is not\n // what a blank field is saying.\n const allowed = String(account.Allowed_days__c ?? \"\")\n .split(\";\")\n .map((d: string) => d.trim())\n .filter(Boolean);\n\n // A Route Date is dispatch committing this stop to a day: either someone\n // set it in Salesforce by hand, or the map's \"Set route date in Salesforce\"\n // button wrote it when a plan was sent out. Either way the decision has\n // been made and left the building, so a rebuild must not move it.\n //\n // This used to require SMS_Sent__c as well, on the reasoning that only a\n // text is a real promise. That was the wrong test: it meant committing a\n // week to Salesforce did nothing, and the next Reoptimize happily re-dated\n // six DC stops that were already committed for the next morning. Committing\n // is the commitment. A text is how the customer finds out, not what makes\n // it true - see smsSent below, which is still tracked, just not for this.\n //\n // Sentinel dates are \"removed from route\" and promise nothing.\n const routed = opp.Route_Date__c && opp.Route_Date__c >= ROUTE_DATE_FLOOR\n ? opp.Route_Date__c\n : null;\n\n // A promised date in the past is a promise already broken - the stop is\n // still Delivery Due, so nobody came. Holding it to that date helps no one:\n // there is no such day left to schedule, so honourDayRules could not place\n // it, gave up, and parked it on whatever day the packer happened to pick,\n // where every repair pass then refused to touch it because it was pinned.\n // Two Florida stops sat like that for a month, texted for 14 August and 15\n // July, reported as unplaceable on every single rebuild.\n //\n // So the pin expires with its date. What the customer is owed at that point\n // is a fresh text, not a frozen slot.\n const promiseExpired = routed != null && routed < today;\n\n const stop: Stop = {\n opportunityId: opp.Id,\n opportunityName: opp.Name,\n accountName: account.Name,\n address: account.Full_Address__c,\n allowedDays: allowed.length > 0 ? allowed : null,\n pinnedDate: promiseExpired ? null : routed,\n // Not a pin any more, but still worth carrying: it is the difference\n // between \"the customer is expecting us\" and \"we have decided but not\n // told them\", which changes what a driver's notes should say and what a\n // dispatcher should do before moving the stop.\n smsSent: opp.SMS_Sent__c === true,\n // Kept so the build can say which promises have lapsed and need re-texting.\n lapsedPromise: opp.SMS_Sent__c === true && promiseExpired ? routed : null,\n closeDate: opp.CloseDate,\n // CreatedDate comes back as a full ISO timestamp; the date is the useful\n // part and the time of day tells nobody anything.\n createdDate: opp.CreatedDate ? String(opp.CreatedDate).slice(0, 10) : null,\n units: orderUnits(opp),\n bottles: Number(account.Amount_of_Bottles__c) || 0,\n springBottles: Number(account.Spring_Bottle_Amount__c) || 0,\n waterType: account.Water_Type__c ?? null,\n apt: account.Apt_1__c ?? null,\n phone: account.Phone ?? null,\n email: account.Email_Address__c ?? opp.Email_Address__c ?? null,\n orderSummary: opp.Order_Summary__c ?? null,\n allowedDaysRaw: account.Allowed_days__c ?? null,\n products: parseOrderSummary(opp.Order_Summary__c),\n truckType: opp.Truck_Type__c ?? null,\n lat,\n lon,\n precision,\n };\n return stop;\n }));\n const stops: Stop[] = stopResults.filter((s): s is Stop => s !== null);\n\n console.log(\n `Placed ${stops.length}/${routableOpps.length} stops ` +\n `(${fromStored} from stored account coordinates, ` +\n `${stops.length - fromStored} geocoded, ${geocodeFailures.length} failures)`,\n );\n\n // Say so when the unit count had to come from the old field. A quiet drift\n // back to line quantities would shrink every pallet order to a couple of\n // units and nothing else about the build would look wrong.\n const fellBack = routableOpps.filter(usedUnitsFallback);\n if (fellBack.length > 0) {\n console.log(\n `${fellBack.length} order(s) with no usable Total_Units_for_Order__c - ` +\n `counted from Total_Amount_of_Products__c instead`,\n );\n }\n if (strayCoords.length > 0) {\n console.log(`${strayCoords.length} stored coordinate(s) ignored as out of region:`);\n for (const s of strayCoords.slice(0, 8)) console.log(` ${s}`);\n if (strayCoords.length > 8) console.log(` ... and ${strayCoords.length - 8} more`);\n }\n const newlyCached = Object.keys(geoCache).length - geoCacheSizeBefore;\n if (newlyCached > 0) {\n await blob.setJSON(GEOCACHE_KEY, geoCache);\n console.log(`Geocode cache: +${newlyCached} new, ${Object.keys(geoCache).length} total`);\n }\n\n const approxCount = stops.filter((s) => s.precision === \"approx\").length;\n if (rescued.length > 0) {\n console.log(`${rescued.length} address(es) needed a fallback geocoder:`);\n for (const c of rescued) console.log(\" \", c);\n }\n if (approxCount > 0) {\n console.log(`${approxCount} stop(s) placed at a ZIP centroid only - flagged as approximate`);\n }\n if (geocodeFailures.length > 0) {\n console.log(\"Geocode failures:\", JSON.stringify(geocodeFailures));\n }\n if (stops.length === 0) {\n return { totalStops: 0, days, routes: [], unassignedCount: 0, geocodeFailures };\n }\n\n // Saturday is an overflow day, not a standing one. Open it only when the\n // week's demand genuinely will not fit inside Mon-Fri, so a region running\n // under capacity never costs a driver a sixth day. Measured 2026-08-12:\n // Miami needs it (722 units vs 584), DC does not (180 vs 400).\n //\n // This is deliberately a total-units test, not a \"did the packer drop\n // anything\" test - it has to run before packing, since the number of days\n // determines how many truck-slots the packer is given in the first place.\n //\n // Hired weekday capacity counts towards the test. This used to be owned\n // trucks only, on the reasoning that a sixth day on a van you already own\n // beats paying for a rental - but that is not the trade dispatch actually\n // wants. A Saturday costs a driver a weekend whether the van is owned or not,\n // so the order of preference is: fill the weekdays, then hire a van on a\n // weekday, and only then work Saturday. DC next week is the case in point -\n // 589 units, which overflows the owned van's Mon-Fri 500 but sits well inside\n // 600 once one hired weekday is counted, so nobody needs to work the weekend.\n const owned = region.ownedVehicles ?? region.vehicleCapacities.length;\n const fleetPerDay = region.vehicleCapacities.slice(0, owned).reduce((a, c) => a + c, 0);\n const hiredPerDay = region.vehicleCapacities.slice(owned).reduce((a, c) => a + c, 0);\n const totalUnits = stops.reduce((a, s) => a + s.units, 0);\n const weekdayCapacity = days.length * (fleetPerDay + hiredPerDay);\n if (region.includeSaturday && totalUnits > weekdayCapacity) {\n days.push(saturdayAfter(days));\n console.log(\n `${totalUnits} units exceeds Mon-Fri capacity (${weekdayCapacity}) - ` +\n `adding ${days[days.length - 1].day} ${days[days.length - 1].date} as an overflow day ` +\n `(capacity now ${days.length * (fleetPerDay + hiredPerDay)})`,\n );\n } else if (region.includeSaturday) {\n console.log(\n `${totalUnits} units fits inside Mon-Fri capacity (${weekdayCapacity}) - no Saturday needed`,\n );\n }\n\n const maxSlots = days.length * MAX_VEHICLES;\n // Slot order is day-major then vehicle tier, so slots 0..d-1 are Vehicle 1,\n // d..2d-1 are Vehicle 2. Capacity follows the vehicle, not the day.\n const slotCapacities = Array.from(\n { length: maxSlots },\n (_, slot) => region.vehicleCapacities[Math.floor(slot / days.length)],\n );\n\n // The same slots, but with later days deliberately under-filled so the back\n // half of the week has room for call-ins and new customers that arrive after\n // the plan is built. Monday runs at full capacity, the last day at\n // (1 - frontLoadFactor) of it, straight-line in between.\n const taperedCapacities = (taper: number) =>\n slotCapacities.map((base, slot) => {\n const dayIdx = slot % days.length;\n if (days.length <= 1 || taper <= 0) return base;\n return Math.max(1, Math.round(base * (1 - taper * (dayIdx / (days.length - 1)))));\n });\n\n // The depot comes from Salesforce - every account carries the coordinates of\n // its closest warehouse, so each region finds its own without configuration.\n // The most common value wins; env vars remain the fallback.\n const warehouses = new Map();\n for (const a of accounts) {\n const lat = a.Closest_Warehouse_Latitude__c;\n const lon = a.Closest_Warehouse_Longitude__c;\n if (lat == null || lon == null) continue;\n const k = `${lat},${lon}`;\n const seen = warehouses.get(k) ?? { lat: Number(lat), lon: Number(lon), n: 0 };\n seen.n++;\n warehouses.set(k, seen);\n }\n const commonest = [...warehouses.values()].sort((a, b) => b.n - a.n)[0];\n\n // An explicit depot address for the region beats everything else.\n let depot: { lat: number; lon: number };\n let depotSource: string;\n const configured = region.depotAddress\n ? await geocodeAddress(region.depotAddress, geoCache)\n : null;\n if (configured) {\n depot = { lat: configured.lat, lon: configured.lon };\n depotSource = `configured address \"${region.depotAddress}\" via ${configured.source}`;\n } else if (commonest) {\n depot = { lat: commonest.lat, lon: commonest.lon };\n depotSource = `Salesforce warehouse, ${commonest.n}/${accounts.length} accounts`;\n } else {\n depot = { lat: Number(Deno.env.get(\"DEPOT_LAT\")), lon: Number(Deno.env.get(\"DEPOT_LON\")) };\n depotSource = \"env vars\";\n }\n console.log(`Depot ${depot.lat},${depot.lon} (${depotSource}); routes start and end here`);\n\n // Stops-only mode: no distance matrix, no packing, every stop unassigned.\n if (!optimize) {\n console.log(`Stops-only build: ${stops.length} stop(s) plotted, not routed`);\n await blob.setJSON(snapshotKeyFor(region.key, weekOffset), {\n generatedAt: new Date().toISOString(),\n region: region.key,\n regionLabel: region.label,\n vehicleCapacities: region.vehicleCapacities,\n vehicleNames: region.vehicleNames,\n optimized: false,\n today,\n windowStart,\n windowEnd: endDate,\n weekOffset,\n depot,\n days,\n stops: stops.map((s) => ({\n id: s.opportunityId,\n name: s.opportunityName,\n account: s.accountName,\n address: s.address,\n units: s.units,\n products: s.products,\n truckType: s.truckType,\n locked: false,\n closeDate: s.closeDate,\n createdDate: s.createdDate,\n bottles: s.bottles,\n springBottles: s.springBottles,\n waterType: s.waterType,\n apt: s.apt,\n phone: s.phone,\n email: s.email,\n orderSummary: s.orderSummary,\n allowedDaysRaw: s.allowedDaysRaw,\n precision: s.precision,\n lat: s.lat,\n lon: s.lon,\n day: null,\n date: null,\n vehicle: null,\n seq: null,\n })),\n routes: [],\n geocodeFailures,\n } satisfies MapSnapshot);\n return {\n today,\n windowStart,\n windowEnd: endDate,\n optimized: false,\n scheduledDays: days.map((d) => `${d.day} ${d.date}`),\n totalStops: stops.length,\n routes: [],\n unassignedCount: stops.length,\n geocodeFailures,\n };\n }\n\n // Per region: the pair cache is only ever hit by stops in the same region,\n // and keeping them separate stops one big region's blob slowing the others.\n const distances = await getDistanceMatrix(depot, stops, region.key);\n\n // Front-loading is a preference, never a reason to strand a delivery. Start\n // at the configured taper and back off in steps until nothing is left\n // unassigned that a flatter week would have carried.\n const maxStopsPerRoute = region.maxStopsPerRoute ?? DEFAULT_MAX_STOPS_PER_ROUTE;\n\n // Banding needs enough trucks to cut thin slices; on a short week it hands\n // each truck most of the region instead. Fall back to the radial sweep there.\n // Clustering is exempt: it finds however many clumps the map actually has and\n // does not need a wide fleet to cut thin slices.\n const wantedOrientation = region.routeOrientation ?? \"radial\";\n const isBanded = wantedOrientation === \"east-west\" || wantedOrientation === \"north-south\";\n const orientation: Orientation = isBanded && maxSlots < MIN_SLOTS_FOR_BANDING\n ? \"radial\"\n : wantedOrientation;\n if (orientation !== wantedOrientation) {\n console.log(\n `Only ${maxSlots} truck-day(s) this week - using a radial sweep instead of ` +\n `${wantedOrientation}, which needs at least ${MIN_SLOTS_FOR_BANDING} to give compact bands`,\n );\n }\n\n // Packing the week into as few truck-days as it needs, earliest first.\n //\n // The order truck-days are taken up in, when packing into as few as possible.\n //\n // Owned trucks come first, each working right through the week, before a\n // hired one is touched at all - a rental costs money per day, so a sixth day\n // on the van you own beats a second van on Monday. Within a tier the earliest\n // day wins, which is what makes the week front-loaded.\n let slotPriority: number[] | undefined;\n // The whole priority order, not just the slice taken first time. Kept in\n // scope so the escalation further down can add truck-days one at a time and\n // still take the cheapest one left.\n let preferredSlots: number[] = [];\n if (region.minimiseRoutes && orientation === \"zoned\") {\n // Cheapest truck-day first, and a Saturday is not cheap. The order is:\n // weekday on a van we own, then weekday on a hired one, then Saturday\n // owned, then Saturday hired. Hiring on a Tuesday beats working the\n // weekend even though the van costs money and the sixth day does not -\n // the driver's Saturday is the scarcer thing.\n const satIndex = days.findIndex((d) => dayOfWeek(d.date) === 6);\n const rankOf = (slot: number) => {\n const hired = Math.floor(slot / days.length) >= owned ? 1 : 0;\n const weekend = satIndex >= 0 && (slot % days.length) === satIndex ? 2 : 0;\n return weekend + hired;\n };\n preferredSlots = Array.from({ length: maxSlots }, (_, s) => s).sort((a, b) =>\n rankOf(a) - rankOf(b) ||\n Math.floor(a / days.length) - Math.floor(b / days.length) ||\n (a % days.length) - (b % days.length)\n );\n let need = 0;\n let room = 0;\n while (room < totalUnits && need < preferredSlots.length) {\n room += slotCapacities[preferredSlots[need++]];\n }\n // A truck can run out of stops before it runs out of cube, so the stop cap\n // sets its own floor on how many are needed.\n need = Math.min(\n preferredSlots.length,\n Math.max(need, Math.ceil(stops.length / maxStopsPerRoute)),\n );\n slotPriority = preferredSlots.slice(0, need);\n\n const hired = slotPriority.filter((s) => Math.floor(s / days.length) >= owned).length;\n console.log(\n `Packing ${totalUnits} units into ${need} of ${maxSlots} truck-day(s): ` +\n slotPriority.map((s) => {\n const { day, vehicle } = slotLabel(s, days);\n return `${day.slice(0, 3)} ${region.vehicleNames?.[vehicle - 1] ?? \"v\" + vehicle}`;\n }).join(\", \"),\n );\n if (hired > 0) {\n console.log(\n ` ${hired} of those is a hired truck-day - the ${owned} owned truck(s) cannot carry ` +\n `${totalUnits} units across ${days.length} day(s)`,\n );\n }\n }\n\n // With minimiseRoutes the front-loading comes from which days are used at\n // all, so the taper is off - capping the later days as well would only make\n // the trucks that do go out emptier.\n let taper = region.minimiseRoutes ? 0 : (region.frontLoadFactor ?? DEFAULT_FRONT_LOAD);\n let built = buildRoutes(\n stops,\n distances,\n maxSlots,\n depot,\n taperedCapacities(taper),\n orientation,\n maxStopsPerRoute,\n slotPriority,\n );\n // Packed too tight to fit - add truck-days one at a time until it does.\n //\n // The count above comes from capacity arithmetic alone: 589 units over\n // 100-unit vans is six van-days. Arithmetic does not know about allowed days,\n // or that a zone packed to 99% stops being a sensible shape, so the first\n // attempt often leaves a stop or two homeless.\n //\n // This used to answer that by dropping the limit entirely and re-solving with\n // the whole fleet open. That is not minimising anything - it just hands the\n // packer twelve slots and takes whatever it does with them. On a DC week that\n // needed eight truck-days it produced nine, and seven and eight were never\n // tried at all.\n //\n // So step up instead: six, then seven, then eight, stopping at the first that\n // places every stop. The order truck-days are added in is the priority list,\n // so the extra one is always the cheapest still available - another day on a\n // van we own before any day on a hired one.\n if (built.unassigned.length > 0 && slotPriority && slotPriority.length < maxSlots) {\n const startedWith = slotPriority.length;\n for (let n = startedWith + 1; n <= maxSlots && built.unassigned.length > 0; n++) {\n const attempt = buildRoutes(\n stops,\n distances,\n maxSlots,\n depot,\n taperedCapacities(taper),\n orientation,\n maxStopsPerRoute,\n n < maxSlots ? preferredSlots.slice(0, n) : undefined,\n );\n // Keep the better attempt even if it still falls short, so a run that\n // ends without a perfect fit is at least the least-bad one tried.\n if (attempt.unassigned.length <= built.unassigned.length) {\n built = attempt;\n slotPriority = n < maxSlots ? preferredSlots.slice(0, n) : undefined;\n }\n }\n console.log(\n `${startedWith} truck-day(s) left stops homeless - settled on ` +\n `${slotPriority ? slotPriority.length : maxSlots}`,\n );\n }\n while (built.unassigned.length > 0 && taper > 0) {\n const relaxed = Math.max(0, Number((taper - 0.1).toFixed(2)));\n const attempt = buildRoutes(\n stops,\n distances,\n maxSlots,\n depot,\n taperedCapacities(relaxed),\n orientation,\n maxStopsPerRoute,\n );\n // Keep relaxing even when a step places nothing. Zones need slack: at 99%\n // of fleet capacity every stop has exactly one home and geography loses, so\n // a flatter week is both fuller and tidier. Measured on this Florida week -\n // taper 0.20 gave 28% of stops a neighbour on another truck, taper 0.00\n // gave 15%.\n console.log(\n `Front-load ${taper.toFixed(2)} left ${built.unassigned.length} unassigned; ` +\n `relaxing to ${relaxed.toFixed(2)} -> ${attempt.unassigned.length} unassigned`,\n );\n taper = relaxed;\n built = attempt;\n }\n if (taper > 0) {\n console.log(\n `Front-loaded the week at ${taper.toFixed(2)}: day 1 at full capacity, ` +\n `last day at ${Math.round((1 - taper) * 100)}%`,\n );\n }\n const unassigned = built.unassigned;\n\n // Allowed days and texted commitments, applied to the finished plan.\n const rules = honourDayRules(\n built.slots,\n days,\n taperedCapacities(taper),\n maxStopsPerRoute,\n unassigned,\n slotCapacities,\n );\n if (rules.promoted.length > 0) {\n console.log(`${rules.promoted.length} committed stop(s) given a place on their Route Date:`);\n for (const p of rules.promoted) console.log(` ${p}`);\n }\n if (rules.relieved.length > 0) {\n console.log(\n `${rules.relieved.length} uncommitted stop(s) shifted to keep trucks off the road:`,\n );\n for (const r of rules.relieved.slice(0, 15)) console.log(` ${r}`);\n if (rules.relieved.length > 15) console.log(` ... and ${rules.relieved.length - 15} more`);\n }\n if (rules.moved.length > 0) {\n console.log(`${rules.moved.length} stop(s) moved to honour allowed days / committed Route Dates:`);\n for (const m of rules.moved.slice(0, 12)) console.log(` ${m}`);\n if (rules.moved.length > 12) console.log(` ... and ${rules.moved.length - 12} more`);\n }\n // Not a routing problem - these are re-planned normally now - but somebody\n // was told a date that came and went, so it needs a human and a new text.\n const lapsed = stops.filter((s) => s.lapsedPromise);\n if (lapsed.length > 0) {\n console.log(`${lapsed.length} stop(s) texted for a date that has passed - re-plannable, needs re-texting:`);\n for (const s of lapsed.slice(0, 12)) {\n console.log(` ${s.accountName} (texted for ${s.lapsedPromise})`);\n }\n if (lapsed.length > 12) console.log(` ... and ${lapsed.length - 12} more`);\n }\n\n if (rules.stuck.length > 0) {\n console.log(`WARNING: ${rules.stuck.length} stop(s) could not be placed on an allowed day:`);\n for (const s of rules.stuck.slice(0, 12)) console.log(` ${s}`);\n }\n\n // Every rule has now fired. Before the days are re-optimised internally, give\n // the week one settling pass: each rule above judged its move against a plan\n // that was still moving, so this is the first chance anything has to look at\n // the finished week and spot work stranded on a late day that a nearer,\n // earlier truck should have taken.\n const settled = balanceDays(\n built.slots,\n days,\n taperedCapacities(taper),\n maxStopsPerRoute,\n stops,\n distances,\n );\n if (settled.length > 0) {\n console.log(`${settled.length} stop(s) pulled onto a nearer, earlier day:`);\n for (const s of settled.slice(0, 15)) console.log(` ${s}`);\n if (settled.length > 15) console.log(` ... and ${settled.length - 15} more`);\n }\n\n // The settling pass can only pull work earlier, so it cannot help a stop\n // stranded on the FIRST day - which is exactly where committed Route Dates\n // pile up. Give those stragglers one chance to move to a nearer day that has\n // room to spare, before the days are re-optimised internally.\n const reseated = reseatStragglers(\n built.slots,\n days,\n taperedCapacities(taper),\n maxStopsPerRoute,\n stops,\n distances,\n );\n if (reseated.length > 0) {\n console.log(`${reseated.length} straggler(s) reseated onto a nearer day with room:`);\n for (const s of reseated) console.log(` ${s}`);\n }\n\n // The rules are done moving stops between days. Now put each day's work back\n // in geographic order across its own trucks.\n const rebalanced = rebalanceDays(\n built.slots,\n days,\n stops,\n distances,\n depot,\n slotCapacities,\n maxStopsPerRoute,\n orientation,\n );\n for (const n of rebalanced) console.log(` ${n}`);\n\n const overrides = await loadOverrides(endDate, region);\n const { slots: allSlots, applied } = applyOverrides(built.slots, distances, stops, days, overrides);\n // Consolidating a day onto one truck empties the other; an empty truck is not\n // a route and must not reach the map, the sheet or the load list.\n const slots = allSlots.filter((s) => s.stops.length > 0);\n\n const km = (m: number) => (m / 1000).toFixed(1);\n console.log(\n `Built ${slots.length} route(s) across ${days.length} day(s), ${unassigned.length} unassigned ` +\n `stop(s) (capacity ${slotCapacities.reduce((a, c) => a + c, 0)} units across ${maxSlots} truck-days); ` +\n `${km(totalRouteDistance(slots, stops, distances))} km total` +\n (applied > 0 ? `; ${applied} manual override(s) applied` : \"\"),\n );\n for (const { slot, stops: routeStops } of slots) {\n const { day, vehicle } = slotLabel(slot, days);\n const units = routeStops.reduce((a, s) => a + s.units, 0);\n const cap = region.vehicleCapacities[vehicle - 1] ?? slotCapacities[slot];\n console.log(\n ` ${day} v${vehicle}: ${routeStops.length} stops, ${units}/${cap} units` +\n (units > cap ? \" <-- OVER CAPACITY\" : \"\"),\n );\n }\n\n // Record what this build commits to each planned day, so tomorrow's rebuild\n // knows which stops are already out on a truck. Only the days this build\n // actually planned are touched - today's entry is left alone.\n const plannedByDate: Record = {};\n for (const { slot, stops: routeStops } of slots) {\n const { date } = slotLabel(slot, days);\n (plannedByDate[date] ??= []).push(...routeStops.map((s) => s.opportunityId));\n }\n for (const { date } of days) dispatchLog[date] = plannedByDate[date] ?? [];\n\n // Keep the ledger from growing forever; three weeks of history is ample.\n const cutoff = addDays(today, -21);\n for (const date of Object.keys(dispatchLog)) {\n if (date < cutoff) delete dispatchLog[date];\n }\n await blob.setJSON(scoped(DISPATCH_KEY, region), dispatchLog);\n\n // Snapshot for map.ts: every geocoded stop, plus how the packer assigned it.\n const assignment = new Map();\n const routes = slots.map(({ slot, stops: routeStops }) => {\n const { day, date, vehicle } = slotLabel(slot, days);\n routeStops.forEach((s, i) => assignment.set(s.opportunityId, { day, date, vehicle, seq: i + 1 }));\n return { day, date, vehicle, stopIds: routeStops.map((s) => s.opportunityId) };\n });\n\n // Texted stops are NOT written into the overrides.\n //\n // They were, briefly, and it did real damage: an override records a date AND\n // a vehicle, so every rebuild dragged texted stops back onto whichever truck\n // they happened to land on last time - undoing the geographic split and, on\n // one Miami build, leaving a 100-unit van loaded to 186.\n //\n // A text promises a DAY, nothing more. The day is already enforced on every\n // build from Salesforce, so nothing needs storing; the truck stays free for\n // the packer to decide. Hand-set locks still record a vehicle, because a\n // dispatcher pinning a stop to a truck means exactly that.\n const datePinned = stops.filter((s) =>\n s.pinnedDate && assignment.get(s.opportunityId)?.date === s.pinnedDate\n );\n if (datePinned.length > 0) {\n const texted = datePinned.filter((s) => s.smsSent).length;\n console.log(\n `${datePinned.length} stop(s) held to their committed Route Date ` +\n `(${texted} of them texted; truck left free for the packer)`,\n );\n }\n await blob.setJSON(snapshotKeyFor(region.key, weekOffset), {\n generatedAt: new Date().toISOString(),\n region: region.key,\n regionLabel: region.label,\n vehicleCapacities: region.vehicleCapacities,\n vehicleNames: region.vehicleNames,\n today,\n windowStart,\n windowEnd: endDate,\n weekOffset,\n depot,\n days,\n stops: stops.map((s) => {\n const a = assignment.get(s.opportunityId);\n return {\n id: s.opportunityId,\n name: s.opportunityName,\n account: s.accountName,\n address: s.address,\n units: s.units,\n products: s.products,\n truckType: s.truckType,\n // Padlock shown for a hand-set lock, and for a stop sitting on the\n // Route Date it is committed to - both mean \"this day is not up for\n // grabs\". pinnedDate and smsSent ride along so the map can say which\n // of the two it is looking at rather than guessing.\n locked: overrides.moves[s.opportunityId]?.locked === true ||\n (s.pinnedDate != null && assignment.get(s.opportunityId)?.date === s.pinnedDate),\n pinnedDate: s.pinnedDate,\n smsSent: s.smsSent === true,\n closeDate: s.closeDate,\n createdDate: s.createdDate,\n bottles: s.bottles,\n springBottles: s.springBottles,\n waterType: s.waterType,\n apt: s.apt,\n phone: s.phone,\n email: s.email,\n orderSummary: s.orderSummary,\n allowedDaysRaw: s.allowedDaysRaw,\n precision: s.precision,\n lat: s.lat,\n lon: s.lon,\n day: a?.day ?? null,\n date: a?.date ?? null,\n vehicle: a?.vehicle ?? null,\n seq: a?.seq ?? null,\n };\n }),\n routes,\n geocodeFailures,\n } satisfies MapSnapshot);\n console.log(`Saved map snapshot: ${stops.length} stop(s), ${routes.length} route(s)`);\n\n if (writeSheet) {\n const sheetResult = await writeRoutesToSheet(\n sheetId,\n token,\n days,\n slots,\n unassigned,\n geocodeFailures,\n region.sheetTab,\n );\n console.log(`Sheet write result (tab \"${region.sheetTab}\"):`, JSON.stringify(sheetResult));\n } else {\n console.log(\"Sheet left untouched (preview build)\");\n }\n\n return {\n today,\n windowStart,\n windowEnd: endDate,\n scheduledDays: days.map((d) => `${d.day} ${d.date}`),\n excludedAsAlreadyAssigned: alreadyAssigned.size,\n totalStops: stops.length,\n routes: slots.map(({ slot, stops }) => ({\n ...slotLabel(slot, days),\n stopCount: stops.length,\n units: stops.reduce((a, s) => a + s.units, 0),\n })),\n unassignedCount: unassigned.length,\n geocodeFailures,\n };\n}\n\n// ============================================================================\n// Route queue\n// ============================================================================\n//\n// Routing a full week for a large region takes about 68 seconds - 302 stops\n// means a ~91,000-pair distance matrix - and Val Town kills an HTTP request\n// well before that. Measured 2026-08-12: florida 68.1s, miami 67.6s, dc 12.1s.\n// A button press died mid-build with nothing saved.\n//\n// So the map no longer runs those builds. It writes a job here and returns\n// immediately; worker.ts picks it up on its interval, where there is a\n// script-length budget to finish, and the page polls until the plan appears.\nexport const QUEUE_KEY = \"route-queue\";\n\n// A job that claims to be running for longer than this was killed mid-build\n// (a deploy, an isolate restart). Without this the queue would wedge forever\n// on a job nothing is actually working on.\nexport const STALE_JOB_MS = 10 * 60 * 1000;\n\nexport type QueueJob = {\n region: string;\n weekOffset: number;\n status: \"queued\" | \"running\" | \"done\" | \"error\";\n requestedAt: string;\n startedAt?: string;\n finishedAt?: string;\n stops?: number;\n routes?: number;\n unassigned?: number;\n error?: string;\n};\n\nexport const jobKey = (region: string, weekOffset: number) => `${region}:${weekOffset}`;\n\nexport async function loadQueue(): Promise> {\n return ((await blob.getJSON(QUEUE_KEY).catch(() => null)) as Record) ?? {};\n}\n\nexport async function saveQueue(q: Record): Promise {\n await blob.setJSON(QUEUE_KEY, q);\n}\n\n// Returns the job that is now in flight. Pressing the button twice does not\n// stack two builds of the same week on top of each other.\nexport async function enqueueRoute(region: string, weekOffset: number): Promise {\n const queue = await loadQueue();\n const key = jobKey(region, weekOffset);\n const existing = queue[key];\n if (existing && (existing.status === \"queued\" || existing.status === \"running\")) {\n const age = Date.now() - new Date(existing.startedAt ?? existing.requestedAt).getTime();\n if (existing.status === \"queued\" || age < STALE_JOB_MS) return existing;\n }\n const job: QueueJob = {\n region,\n weekOffset,\n status: \"queued\",\n requestedAt: new Date().toISOString(),\n };\n queue[key] = job;\n await saveQueue(queue);\n return job;\n}\n\nexport async function readJob(region: string, weekOffset: number): Promise {\n return (await loadQueue())[jobKey(region, weekOffset)] ?? null;\n}\n\n// ============================================================================\n// Today's route (read-only)\n// ============================================================================\n//\n// Everything whose effective delivery date is TODAY. The planner deliberately\n// leaves these out of the week's map - they are already loaded on a truck - so\n// there has been no way to see them. This is that view.\n//\n// Deliberately NOT routed: no distance matrix, no packing, no overrides. The\n// stops come back grouped by the Route Name dispatch already put them on, in\n// Salesforce's own order. That also keeps it fast enough to build on request\n// instead of from a stored snapshot, so it is always current.\n//\n// Every stage is included, not just Delivery Due. By mid-afternoon most of the\n// day's drops have flipped to Delivered and would otherwise vanish from the\n// view, which is the opposite of useful when you are asking what is out today.\nexport type TodayStop = {\n opportunityId: string;\n opportunityName: string;\n accountName: string;\n address: string;\n units: number;\n products: Product[];\n routeName: string;\n stage: string;\n delivered: boolean;\n lat: number;\n lon: number;\n precision: \"exact\" | \"approx\";\n};\n\n// Everything committed to a given Route Date, ready to go to OptimoRoute.\n//\n// Deliberately reads Salesforce rather than the stored plan. The push button\n// fires with nobody looking at a map, possibly days after the last build, so\n// the snapshot could be stale or missing for that date entirely - and the thing\n// dispatch actually committed to is the Route Date on the record. This cannot\n// go stale: whatever Salesforce says is on the truck is what gets sent.\n//\n// Only routes this val owns. Route_Name__c has to match one of the region's\n// vehicleNames, which is both the driver serial in OptimoRoute and the value\n// the map writes when it commits. That filter drops the \"Removed from route:\n// ...\" records, anything with no route name, and every truck belonging to the\n// other markets the Cloud Run bridge looks after.\nexport type CommittedStop = {\n opportunityId: string;\n opportunityName: string;\n accountName: string;\n address: string;\n // null when the stop has no usable truck. It still goes to OptimoRoute, just\n // without a driver assignment - see the note in committedStops.\n routeName: string | null;\n // Salesforce Delivery_Region__c verbatim. Only used to group the push report;\n // an all-regions push spans far more of these than this val plans routes for.\n deliveryRegion: string | null;\n units: number;\n products: Product[];\n bottles: number;\n springBottles: number;\n waterType: string | null;\n apt: string | null;\n phone: string | null;\n email: string | null;\n orderSummary: string | null;\n allowedDaysRaw: string | null;\n smsSent: boolean;\n lat: number;\n lon: number;\n precision: \"exact\" | \"approx\";\n};\n\n// A stop that did not go up as planned, and why. `region` is carried so the\n// push report can group these the same way it groups the stops themselves.\nexport type Aside = {\n account: string;\n routeName: string | null;\n why: string;\n region: string | null;\n};\n\n// regionKey null means EVERY region - the Salesforce home-page button is a\n// company-wide \"send this day\" and is not scoped to the three regions this val\n// plans routes for. Without that, 11 of the 13 stops route-dated 2026-08-24 were\n// invisible to it purely because they were Brooklyn/Nassau/North/Midtown rather\n// than DC or Miami.\n//\n// `serials` overrides the truck list to match against. The per-region config\n// only names this val's own vehicles, which is no use for a NY stop on\n// \"NJ Isuzu\", so the caller passes the serials OptimoRoute actually knows.\nexport async function committedStops(\n regionKey: string | null,\n date: string,\n opts?: { serials?: Iterable },\n): Promise<{\n region: string;\n label: string;\n date: string;\n stops: CommittedStop[];\n skipped: Aside[];\n unassigned: Aside[];\n // Everything route-dated that day and still Delivery Due, before any of the\n // checks below. The push report reconciles against this so a stop can never\n // go missing without being named.\n considered: number;\n}> {\n const region = regionKey ? getRegion(regionKey) : null;\n // Matched case-insensitively, but sent under the CONFIGURED spelling.\n //\n // Route Name is typed by hand often enough that the case drifts - a Miami\n // record was carrying \"miami 2\" against a configured \"Miami 2\". An exact\n // match silently dropped that stop from the push; sending it verbatim would\n // instead have been rejected by OptimoRoute, whose driver serials are exact.\n // Normalising fixes the typo on the way out rather than failing either way.\n //\n // Whitespace is collapsed as well as case, because the same drift produced\n // \"freight liner- 2\" against \"Freight Liner-2\".\n const norm = (s: string) => s.trim().toLowerCase().replace(/\\s+/g, \" \");\n const names = opts?.serials ??\n (region\n ? (region.vehicleNames ?? [])\n : Object.values(REGIONS).flatMap((r) => r.vehicleNames ?? []));\n const drivers = new Map([...names].map((n) => [norm(n), n]));\n\n const opps = await sfQuery(\n `SELECT Id, Name, Route_Date__c, Route_Name__c, StageName, SMS_Sent__c, Delivery_Region__c,\n Total_Amount_of_Products__c, Total_Units_for_Order__c, AccountId, Order_Summary__c\n FROM Opportunity\n WHERE ${\n region\n ? `Delivery_Region__c IN (${region.salesforceRegions.map((r) => `'${r}'`).join(\",\")}) AND `\n : \"\"\n }Route_Date__c = ${date}\n AND StageName = 'Delivery Due'`.replace(/\\s+/g, \" \").trim(),\n );\n\n const skipped: Aside[] = [];\n const unassigned: Aside[] = [];\n\n // Route Name is the OptimoRoute driver serial, and a stop without a usable\n // one used to be dropped here entirely. That was wrong: a route-dated order\n // with no truck is still a real delivery someone scheduled, and dropping it\n // meant it silently never reached a driver - on 2026-08-24 that was 11 of the\n // 12 route-dated stops, including a 45-unit and a 30-unit order. It now goes\n // to OptimoRoute unassigned instead, so a dispatcher can assign it there.\n //\n // Only called for stops that survive the address and geocode checks below, so\n // the count reflects what was actually sent rather than everything looked at.\n const serialFor = (\n o: { Name: string; Route_Name__c?: string | null; Delivery_Region__c?: string | null },\n ): string | null => {\n const region = o.Delivery_Region__c ?? null;\n if (!o.Route_Name__c) {\n unassigned.push({ account: o.Name, routeName: null, why: \"no Route Name\", region });\n return null;\n }\n const serial = drivers.get(norm(String(o.Route_Name__c)));\n if (!serial) {\n // Passing the name through verbatim would be rejected - OptimoRoute's\n // driver serials are exact - so an unrecognised truck also goes\n // unassigned rather than failing the whole batch.\n unassigned.push({\n account: o.Name,\n routeName: o.Route_Name__c,\n why: \"no OptimoRoute driver by that name\",\n region,\n });\n return null;\n }\n return serial;\n };\n\n const mine = opps;\n\n if (mine.length === 0) {\n return {\n region: region?.key ?? \"all\",\n label: region?.label ?? \"All regions\",\n date,\n stops: [],\n skipped,\n unassigned,\n considered: mine.length,\n };\n }\n\n const accountIdList = [...new Set(mine.map((o) => o.AccountId))].map((id) => `'${id}'`).join(\",\");\n const accounts = await sfQuery(\n `SELECT Id, Name, Full_Address__c, Client_Location__Latitude__s,\n Client_Location__Longitude__s, Allowed_days__c, Amount_of_Bottles__c,\n Spring_Bottle_Amount__c, Water_Type__c, Apt_1__c, Phone, Email_Address__c\n FROM Account WHERE Id IN (${accountIdList})`.replace(/\\s+/g, \" \").trim(),\n );\n const accountsById = new Map(accounts.map((a) => [a.Id, a]));\n const geoCache = await loadGeoCache();\n\n const built = await Promise.all(mine.map(async (opp) => {\n const account = accountsById.get(opp.AccountId);\n if (!account?.Full_Address__c) {\n skipped.push({\n account: opp.Name,\n routeName: opp.Route_Name__c,\n why: \"no address on account\",\n region: opp.Delivery_Region__c ?? null,\n });\n return null;\n }\n let lat = account.Client_Location__Latitude__s;\n let lon = account.Client_Location__Longitude__s;\n let precision: \"exact\" | \"approx\" = \"exact\";\n if (lat == null || lon == null) {\n const geo = await geocodeAddress(account.Full_Address__c, geoCache);\n if (!geo) {\n skipped.push({\n account: opp.Name,\n routeName: opp.Route_Name__c,\n why: \"geocode failed\",\n region: opp.Delivery_Region__c ?? null,\n });\n return null;\n }\n lat = geo.lat;\n lon = geo.lon;\n precision = geo.precision;\n }\n return {\n opportunityId: opp.Id,\n opportunityName: opp.Name,\n accountName: account.Name,\n address: account.Full_Address__c,\n routeName: serialFor(opp),\n deliveryRegion: opp.Delivery_Region__c ?? null,\n units: orderUnits(opp),\n products: parseOrderSummary(opp.Order_Summary__c),\n bottles: Number(account.Amount_of_Bottles__c) || 0,\n springBottles: Number(account.Spring_Bottle_Amount__c) || 0,\n waterType: account.Water_Type__c ?? null,\n apt: account.Apt_1__c ?? null,\n phone: account.Phone ?? null,\n email: opp.Email_Address__c ?? account.Email_Address__c ?? null,\n orderSummary: opp.Order_Summary__c ?? null,\n allowedDaysRaw: account.Allowed_days__c ?? null,\n smsSent: opp.SMS_Sent__c === true,\n lat: Number(lat),\n lon: Number(lon),\n precision,\n } satisfies CommittedStop;\n }));\n\n return {\n region: region?.key ?? \"all\",\n label: region?.label ?? \"All regions\",\n date,\n stops: built.filter((s): s is CommittedStop => s !== null),\n skipped,\n unassigned,\n considered: mine.length,\n };\n}\n\n// Tomorrow, Eastern. The push button's default: dispatch loads tomorrow's\n// trucks at the end of today.\nexport const tomorrowEastern = () => addDays(todayEastern(), 1);\n\nexport async function todaysStops(regionKey: string): Promise<{\n region: string;\n label: string;\n date: string;\n stops: TodayStop[];\n hidden: number;\n hiddenRoutes: string[];\n geocodeFailures: string[];\n}> {\n const region = getRegion(regionKey);\n const today = todayEastern();\n\n const opps = await sfQuery(\n `SELECT Id, Name, CloseDate, Route_Date__c, Route_Name__c, StageName,\n Total_Amount_of_Products__c, Total_Units_for_Order__c, AccountId, Order_Summary__c\n FROM Opportunity\n WHERE Delivery_Region__c IN (${region.salesforceRegions.map((r) => `'${r}'`).join(\",\")})\n AND Route_Date__c = ${today}`\n .replace(/\\s+/g, \" \").trim(),\n );\n\n // Route Date only. This screen is \"what is on a truck today\", and a Close\n // Date of today does not put anything on a truck - it is an order due today\n // that nobody has scheduled yet, which belongs on the planning map where it\n // can still be routed. Including it here showed it as though it were out for\n // delivery and simultaneously hid it from the plan.\n //\n // The floor guards the 2000/2001 sentinels, which mean \"pulled off a route\".\n const ROUTE_DATE_FLOOR = \"2020-01-01\";\n const due = opps.filter((o) => o.Route_Date__c && o.Route_Date__c >= ROUTE_DATE_FLOOR);\n\n const geocodeFailures: string[] = [];\n if (due.length === 0) {\n return {\n region: region.key,\n label: region.label,\n date: today,\n stops: [],\n hidden: 0,\n hiddenRoutes: [],\n geocodeFailures,\n };\n }\n\n const accountIdList = [...new Set(due.map((o) => o.AccountId))].map((id) => `'${id}'`).join(\",\");\n const accounts = await sfQuery(\n `SELECT Id, Name, Full_Address__c, Client_Location__Latitude__s, Client_Location__Longitude__s\n FROM Account WHERE Id IN (${accountIdList})`.replace(/\\s+/g, \" \").trim(),\n );\n const accountsById = new Map(accounts.map((a) => [a.Id, a]));\n\n const geoCache = await loadGeoCache();\n const cacheSizeBefore = Object.keys(geoCache).length;\n\n const results = await Promise.all(due.map(async (opp) => {\n const account = accountsById.get(opp.AccountId);\n if (!account?.Full_Address__c) {\n geocodeFailures.push(`${opp.Name}: no address on account`);\n return null;\n }\n let lat = account.Client_Location__Latitude__s;\n let lon = account.Client_Location__Longitude__s;\n let precision: \"exact\" | \"approx\" = \"exact\";\n if (lat == null || lon == null) {\n const geo = await geocodeAddress(account.Full_Address__c, geoCache);\n if (!geo) {\n geocodeFailures.push(`${opp.Name}: geocode failed for \"${account.Full_Address__c}\"`);\n return null;\n }\n lat = geo.lat;\n lon = geo.lon;\n precision = geo.precision;\n }\n const stage = String(opp.StageName ?? \"\");\n return {\n opportunityId: opp.Id,\n opportunityName: opp.Name,\n accountName: account.Name,\n address: account.Full_Address__c,\n units: orderUnits(opp),\n products: parseOrderSummary(opp.Order_Summary__c),\n // Empty, not a stand-in label. \"No route name\" was being used as one and\n // it ended up as a heading on the Today screen, reading like the name of\n // a truck that does not exist.\n routeName: opp.Route_Name__c ?? \"\",\n stage,\n delivered: stage.toLowerCase() === \"delivered\",\n lat: Number(lat),\n lon: Number(lon),\n precision,\n } as TodayStop;\n }));\n\n if (Object.keys(geoCache).length > cacheSizeBefore) await blob.setJSON(GEOCACHE_KEY, geoCache);\n\n const all = results.filter((s): s is TodayStop => s !== null);\n\n // Keep only the region's real trucks, where it names them. Hidden stops are\n // counted and reported rather than dropped quietly - \"52 stops\" turning into\n // \"38 stops\" with no explanation is how people stop trusting the view.\n const allow = region.todayRoutes;\n // A stop with no Route_Name__c was never put on a truck, so whatever its date\n // says it is not part of today's road work. Kept apart from the allow-list\n // count because the two mean different things to whoever is reading: one is\n // \"that is somebody else's route\", the other is \"that is on nobody's route\".\n const named = all.filter((s) => s.routeName.trim() !== \"\");\n const unrouted = all.length - named.length;\n const stops = allow\n ? named.filter((s) => allow.some((r) => r.toLowerCase() === s.routeName.trim().toLowerCase()))\n : named;\n const hidden = named.length - stops.length;\n const hiddenRoutes = [...new Set(named.filter((s) => !stops.includes(s)).map((s) => s.routeName))];\n\n console.log(\n `[${region.label}] today (${today}): ${stops.length} stop(s) on route, ` +\n `${stops.filter((s) => s.delivered).length} already delivered` +\n (hidden ? `; ${hidden} hidden on other route names (${hiddenRoutes.join(\", \")})` : \"\") +\n (unrouted ? `; ${unrouted} dated today with no route name` : \"\"),\n );\n return {\n region: region.key,\n label: region.label,\n date: today,\n stops,\n hidden,\n hiddenRoutes,\n unrouted,\n geocodeFailures,\n };\n}\n\nexport default async function (\n options: { weekOffset?: number; writeSheet?: boolean; region?: string } = {},\n) {\n return await buildDcRoutes(options);\n}\n",[186],"87c2d774-f166-4d85-9b62-06029d5eb7c8",["D",1787659788628],[28],"81389074-1c4b-4ab0-8282-d953917681ab","_proxy.ts","d5e568d4-971d-11f1-8e97-1607ee4eb77e",518,["D",1786628982355],"// TEMPORARY read-only probe. Safe to delete.\n// What does the Salesforce proxy accept besides ?q= ? Nothing here writes.\nconst url = Deno.env.get(\"SALESFORCE_AGENT_URL\")!;\nconst key = Deno.env.get(\"SALESFORCE_AGENT_KEY\")!;\nconsole.log(`proxy: ${url.replace(/https:\\/\\/([^-]+)/, \"https://***\")}`);\n\n// No parameters at all - most of these vals answer with a usage note.\nconst bare = await fetch(`${url}?key=${encodeURIComponent(key)}`);\nconsole.log(`\\nGET (no q) -> ${bare.status}`);\nconsole.log((await bare.text()).slice(0, 600));\n\n// Some proxies document themselves on OPTIONS or a /help path.\nfor (const probe of [\"&help=1\", \"&action=help\"]) {\n const r = await fetch(`${url}?key=${encodeURIComponent(key)}${probe}`);\n console.log(`\\nGET ${probe} -> ${r.status}`);\n console.log((await r.text()).slice(0, 400));\n}\n\n// Does it take a POST? Send a deliberately invalid body so nothing can be\n// written even if it does - we only want to see the shape of the complaint.\nconst post = await fetch(`${url}?key=${encodeURIComponent(key)}`, {\n method: \"POST\",\n headers: { \"Content-Type\": \"application/json\" },\n body: JSON.stringify({ probe: \"capability-check-only\" }),\n});\nconsole.log(`\\nPOST {} -> ${post.status}`);\nconsole.log((await post.text()).slice(0, 600));\n",[196],"pulls","branches","forks","envVars",{"_209":211,"_212":61},"connections",{"_209":61,"_210":61},"count","unfilledCount",10,"emptyCount",{"_42":195,"_32":196,"_30":197,"_138":-5,"_40":41,"_39":198,"_140":24,"_37":247,"_13":61,"_33":34,"_35":200,"_23":26,"_144":-5,"_223":248,"_27":249},{"_42":192,"_32":28,"_30":31,"_138":-5,"_40":41,"_39":14,"_140":26,"_37":244,"_13":61,"_33":34,"_35":36,"_23":26,"_144":-5,"_223":245,"_27":246},{"_42":185,"_32":186,"_30":56,"_138":-5,"_40":41,"_39":187,"_140":26,"_37":241,"_13":189,"_33":34,"_35":190,"_23":26,"_144":-5,"_223":242,"_27":243},{"_42":175,"_32":176,"_30":177,"_138":-5,"_40":41,"_39":178,"_140":26,"_37":238,"_13":180,"_33":181,"_35":182,"_23":26,"_144":183,"_223":239,"_27":240},{"_42":168,"_32":169,"_30":170,"_138":-5,"_40":41,"_39":171,"_140":24,"_37":235,"_13":158,"_33":142,"_35":173,"_23":26,"_144":-5,"_223":236,"_27":237},{"_42":161,"_32":162,"_30":163,"_138":-5,"_40":41,"_39":164,"_140":24,"_37":232,"_13":158,"_33":142,"_35":166,"_23":26,"_144":-5,"_223":233,"_27":234},{"_42":153,"_32":154,"_30":155,"_138":-5,"_40":41,"_39":156,"_140":24,"_37":229,"_13":158,"_33":142,"_35":159,"_23":26,"_144":-5,"_223":230,"_27":231},{"_42":146,"_32":147,"_30":148,"_138":-5,"_40":41,"_39":149,"_140":26,"_37":226,"_13":61,"_33":34,"_35":151,"_23":26,"_144":-5,"_223":227,"_27":228},{"_42":135,"_32":136,"_30":137,"_138":-5,"_40":41,"_39":139,"_140":24,"_37":222,"_13":61,"_33":142,"_35":143,"_23":26,"_144":-5,"_223":224,"_27":225},["D",1786569644611],"children",[],[136],["D",1786717618406],[],[147],["D",1786717657430],[],[154],["D",1786717661780],[],[162],["D",1786717653194],[],[169],["D",1787263243375],[],[176],["D",1787260007294],[],[186],["D",1787659788628],[],[28],["D",1786628982355],[],[196],["D",1785443670415],{"_95":94,"_103":99},{"_95":94,"_96":97,"_98":99,"_18":54,"_100":101,"_102":26},{"_13":84,"_32":85,"_42":41,"_86":43,"_87":-5,"_88":-5,"_89":-5,"_90":-5,"_91":-5,"_92":44,"_93":94},"ctx",{"_77":-5,"_123":287,"_288":289,"_290":291,"_292":26,"_293":26,"_294":26,"_295":24,"_296":-5,"_297":-7,"_298":-7,"_299":61,"_300":26,"_301":26,"_302":-5,"_303":26,"_304":26,"_305":26,"_306":-5},"ENV",{"_258":259,"_260":261,"_262":85,"_263":264,"_265":266,"_267":268,"_269":270,"_271":272,"_273":274,"_275":276,"_277":278,"_279":280,"_281":282,"_283":284,"_285":286},"REACT_APP_SENTRY_DSN","https://586020d86f05489db63a554690acf1e9@o1398359.ingest.sentry.io/6724499","RENDER_GIT_COMMIT","5015b8df46402d8bba4f485ecc37aec202b0e06b","RENDER_GIT_BRANCH","POSTHOG_API_TOKEN","phc_nmoyuAkStEZuUp69rYlg1DZgrIt19Gx0Y4Hwf8tGgJP","POSTHOG_API_HOST","https://wart.val.town","WEB_API_TEMPLATE","https://{val}.web.val.run","APP_URL","https://www.val.town","MODULE_URL","https://esm.town","VANITY_WEB_API_TEMPLATE","https://{label}.val.run/","DENOLS_URL","https://lsp.val.town","NODE_ENV","production","CLOUDFLARE_TURNSTILE_SITE_KEY","0x4AAAAAACtaIZJH7s9rBMZ6","GOOGLE_CLIENT_ID","875989696899-jtsqkhlbdv5jrlsk8631p7ipjg3c6o62.apps.googleusercontent.com","STRIPE_PUBLISHABLE_KEY","pk_live_51N2zvWEpZTTLipIkVEwXrUG9AT0yeOOEYxszarZT1jpsZV58Ly6wlg3SltZpHN26CUalOBmUSY7adQRQiSkCZz2500qSXNkf8Y","API_URL","https://api.val.town",[],"preferencesKeybindings","default","preferencesTheme","light","preferencesFixers","preferencesCopilot","preferencesSelectionAi","preferencesCloseBrackets","preferencesChatPanelState","preferencesDprint","preferencesDenofmt","notificationCount","flagDenols","isBusinessOrgMember","businessOrgHandle","isBusinessOrgAdmin","isHigherTownieTier","navCollapsed","currentOrgId"]

Diff · v1285