${l}

${v}

${s}

`;\n}\nfunction bars(today: any[], ref: any[], refLabel: string, upto: number) {\n const hours = [];\n for (let h = 8; h <= Math.max(upto, 8) && h < 24; h++) hours.push(h);\n const mx = Math.max(\n 1,\n ...today.map((x) => x.orders),\n ...ref.map((x) => x.orders),\n );\n const rows = hours.map((h) =>\n `${\n String(h).padStart(2, \"0\")\n }:00

${\n today[h].orders\n } / ${ref[h].orders}`\n ).join(\"\");\n return `

Orders by hour: ■ today ■ ${\n esc(refLabel)\n }

${rows}

`;\n}\nfunction topTable(items: any[]) {\n if (!items?.length) return \"\";\n return `

Top sellers

${\n items.slice(0, 8).map((x) =>\n ``\n ).join(\"\")\n }

${\n esc(x.name)\n } (${\n esc(x.category)\n })

${x.qty}

${\n inr(x.revenue)\n }

`;\n}\nexport function renderCombined(\n p: any,\n others: any[],\n summary: string,\n engine: string,\n) {\n const t = p.today;\n const delayed = p.delayed\n ? `

Delayed: this is the ${\n esc(p.slot_label)\n }, sent at ${esc(p.as_of_human)}.

`\n : \"\";\n const box =\n `

${\n summary.split(\"\\n\").map(esc).join(\"
\")\n }

`;\n let title: string, kpis: string, barsHtml: string, top: string;\n if (p.is_digest) {\n const y = p.closed, lw = p.closed_lw;\n title = `${esc(p.outlet)} — ${esc(p.closed_day_human)} closed`;\n kpis = `${\n kpi(\n \"Orders\",\n `${y.orders}`,\n `vs same weekday last week ${lw.orders} (${\n delta(y.orders, lw.orders)\n })`,\n )\n }${\n kpi(\n \"Net revenue\",\n inr(y.revenue),\n `last week ${inr(lw.revenue)} (${delta(y.revenue, lw.revenue, true)})`,\n )\n }${kpi(\"AOV\", inr(y.aov), `items/order ${y.items_per_order}`)}${\n kpi(\n \"Returning share\",\n pct(p.closed_nr.returning_share),\n `${p.closed_nr.returning} returning · ${p.closed_nr.new} new`,\n )\n }${\n kpi(\n \"Food attach\",\n pct(y.food_attach),\n `${y.food} food items · ${y.beverages} drinks`,\n )\n }${\n kpi(\n \"FIRST69 share\",\n pct(y.first69_share),\n `discount depth ${pct(y.discount_depth)} · kiosk ${pct(y.kiosk_share)}`,\n )\n }

`;\n barsHtml = bars(\n p.closed_hourly,\n p.closed_lw_hourly,\n \"same weekday last week\",\n 23,\n );\n top = topTable(p.closed_top);\n } else {\n const ys = p.yesterday_same_hour,\n lws = p.last_week_same_hour,\n s = p.since_last;\n title = `${esc(p.outlet)} — ${esc(p.slot_label)}`;\n kpis = `${\n kpi(\n \"Orders today\",\n `${t.orders}`,\n `yesterday by now ${ys.orders} (${delta(t.orders, ys.orders)}) · last ${\n esc(p.dow)\n } ${lws.orders}`,\n )\n }${\n kpi(\n \"Net revenue today\",\n inr(t.revenue),\n `yesterday by now ${inr(ys.revenue)} (${\n delta(t.revenue, ys.revenue, true)\n })`,\n )\n }${\n kpi(\n \"AOV\",\n inr(t.aov),\n `items/order ${t.items_per_order} · last order ${\n esc((t.last_order_time ?? \"—\").slice(0, 5))\n }`,\n )\n }${\n kpi(`Since ${esc(s.from_label)}`, `+${s.orders}`, `+${inr(s.revenue)}`)\n }${\n kpi(\n \"Returning share today\",\n pct(p.nr.returning_share),\n `${p.nr.returning} returning · ${p.nr.new} new customers`,\n )\n }${\n kpi(\n \"Mix today\",\n `F69 ${pct(t.first69_share)}`,\n `food attach ${pct(t.food_attach)} · kiosk ${pct(t.kiosk_share)}`,\n )\n }

`;\n barsHtml = bars(p.hourly_today, p.hourly_yesterday, \"yesterday\", p.hour);\n top = topTable(p.top_today);\n }\n const m = p.mtd;\n const pace =\n `${\n kpi(\n \"Month to date\",\n inr(m.revenue),\n `${m.orders} orders · AOV ${inr(m.aov)}`,\n )\n }${\n kpi(\n \"Projected month\",\n inr(m.projection),\n `${m.days_elapsed} of ${m.days_in_month} days · ${inr(m.per_day)}/day`,\n )\n }${\n kpi(\n \"Target ₹20 L\",\n pct(m.projection / m.target) + \" of target\",\n `need ${inr(m.needed_per_day)}/day for the rest of the month`,\n )\n }

`;\n const oth = others.length\n ? `

Other outlets

${\n others.map((o) =>\n ``\n ).join(\"\")\n }

	${\n p.is_digest ? \"Closed day\" : \"Today\"\n }	Yday by now	Yday full	MTD
${\n esc(o.outlet)\n }	${o.today.orders} · ${\n inr(o.today.revenue)\n }	${o.yesterday_same_hour.orders} · ${\n inr(o.yesterday_same_hour.revenue)\n }	${o.yesterday.orders} · ${\n inr(o.yesterday.revenue)\n }	${o.mtd.orders} · ${\n inr(o.mtd.revenue)\n }

`\n : \"\";\n const foot =\n `

Summary by ${\n esc(engine)\n } · live order list from franchise.xpansecafe.com · reports at 9am, 12pm, 3pm, 6pm, 9pm and midnight IST · Val Town

`;\n return `

${title}

as of ${\n esc(p.as_of_human)\n }

${delayed}${box}${kpis}${barsHtml}${top}${pace}${oth}${foot}

`;\n}\n\n// ---------- config ----------\nexport function outletsFromEnv(): {\n name: string;\n username: string;\n password: string;\n}[] {\n const raw = Deno.env.get(\"OUTLETS\") ?? \"[]\";\n let arr: any = JSON.parse(raw);\n if (typeof arr === \"string\") arr = JSON.parse(arr);\n return arr;\n}\nexport const target = () => +(Deno.env.get(\"MONTHLY_TARGET\") ?? \"2000000\");\nexport const salt = () => Deno.env.get(\"PHONE_SALT\") ?? \"xpanse\";\n\n// ---------- dashboard data (used by dashboardHttp.ts and the local test) ----------\nexport async function buildDashboard(\n slug: string,\n ndays: number,\n store: Store,\n panelFor: (slug: string) => Promise,\n) {\n const now = istNow(),\n today = now.date,\n yday = shift(today, -1),\n lw = shift(today, -7);\n const outlets = outletsFromEnv();\n const name = outlets.find((o) => slugify(o.name) === slug)?.name ?? slug;\n const start = [shift(today, -(ndays - 1)), monthFirst(today)].sort()[0];\n const days = await loadDays(\n await panelFor(slug),\n slug,\n start,\n today,\n today,\n salt(),\n store,\n );\n const winStart = shift(today, -(ndays - 1));\n const window: Days = Object.fromEntries(\n Object.entries(days).filter(([d]) => d >= winStart),\n );\n const first = customerHistory(days);\n const t = days[today] ?? [], y = days[yday] ?? [], w = days[lw] ?? [];\n const all = Object.values(window).flat();\n const others = [];\n for (const o of outlets) {\n const s2 = slugify(o.name);\n if (s2 === slug) continue;\n const d2 = await loadDays(\n await panelFor(s2),\n s2,\n shift(monthFirst(today), -1),\n today,\n today,\n salt(),\n store,\n );\n const y2 = d2[yday] ?? [];\n others.push({\n outlet: o.name,\n slug: s2,\n today: summarizeDay(d2[today] ?? []),\n yesterday_same_hour: summarizeDay(y2, now.hour),\n yesterday: summarizeDay(y2),\n mtd: mtdBlock(d2, today, true, target()),\n });\n }\n return {\n outlet: name,\n slug,\n generated_at: now.human,\n live: true,\n hour: now.hour,\n today: {\n summary: summarizeDay(t),\n hourly: hourly(t),\n top: topItems(t, 10),\n nr: newVsReturning(t, first, today),\n coupons: couponMix(t),\n },\n yesterday: {\n summary: summarizeDay(y),\n same_hour: summarizeDay(y, now.hour),\n hourly: hourly(y),\n },\n last_week: {\n summary: summarizeDay(w),\n same_hour: summarizeDay(w, now.hour),\n hourly: hourly(w),\n },\n daily: dailySeries(window),\n cohorts: cohorts(days),\n customers: customerStats(window),\n heatmap: heatmap(\n Object.fromEntries(Object.entries(window).filter(([d]) => d < today)),\n ),\n categories: categoryMix(all),\n top: topItems(all, 15),\n coupons: couponMix(all).slice(0, 14),\n pairs: pairs(all, 8),\n window_summary: summarizeDay(all),\n mtd: mtdBlock(days, today, true, target()),\n others,\n outlets: outlets.map((o) => ({ name: o.name, slug: slugify(o.name) })),\n };\n}",[156],"pulls","branches","forks","envVars",{"_169":171,"_172":63},"connections",{"_169":63,"_170":63},"count","unfilledCount",10,"emptyCount",{"_43":155,"_32":156,"_30":157,"_132":-5,"_41":42,"_40":158,"_133":25,"_38":187,"_13":142,"_34":35,"_36":160,"_24":25,"_136":-5,"_178":188,"_27":189},{"_43":147,"_32":148,"_30":149,"_132":-5,"_41":42,"_40":150,"_133":25,"_38":184,"_13":142,"_34":152,"_36":153,"_24":25,"_136":-5,"_178":185,"_27":186},{"_43":138,"_32":139,"_30":57,"_132":-5,"_41":42,"_40":140,"_133":25,"_38":181,"_13":142,"_34":143,"_36":144,"_24":25,"_136":145,"_178":182,"_27":183},{"_43":131,"_32":28,"_30":31,"_132":-5,"_41":42,"_40":14,"_133":25,"_38":177,"_13":135,"_34":35,"_36":37,"_24":25,"_136":-5,"_178":179,"_27":180},["D",1789162256291],"children",[],[28],["D",1789162115481],[],[139],["D",1789162075581],[],[148],["D",1789161944915],[],[156],["D",1789161653473],{"_97":96,"_105":101},{"_97":96,"_98":99,"_100":101,"_18":55,"_102":103,"_104":25},{"_13":86,"_32":87,"_43":42,"_88":44,"_89":-5,"_90":-5,"_91":-5,"_92":-5,"_93":-5,"_94":45,"_95":96},"ctx",{"_79":-5,"_124":227,"_228":229,"_230":231,"_232":25,"_233":25,"_234":25,"_235":59,"_236":-5,"_237":-7,"_238":-7,"_239":63,"_240":25,"_241":25,"_242":-5,"_243":25,"_244":25,"_245":25,"_246":-5},"ENV",{"_198":199,"_200":201,"_202":87,"_203":204,"_205":206,"_207":208,"_209":210,"_211":212,"_213":214,"_215":216,"_217":218,"_219":220,"_221":222,"_223":224,"_225":226},"REACT_APP_SENTRY_DSN","https://586020d86f05489db63a554690acf1e9@o1398359.ingest.sentry.io/6724499","RENDER_GIT_COMMIT","fdb67791413f4386b4dbf18f354029a617f6160f","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 · v19