[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8,"_9":10},"actionData","errors","root",{"_159":160,"_161":162},"routes/_app.x.$handle.$name",{"_11":12,"_13":14,"_15":16,"_18":19,"_17":-7,"_121":-5,"_20":122,"_22":123,"_124":125,"_126":127,"_25":128,"_24":-5,"_129":-5,"_130":-5,"_131":53,"_132":133,"_134":44,"_135":-5,"_136":-5,"_137":138},"routes/_app.x.$handle.$name.branch.$branch.code.$",{"_11":12,"_13":14,"_15":16,"_17":-7,"_18":19,"_20":21,"_22":23,"_24":-7,"_25":26,"_27":-5,"_28":-5,"_29":-5,"_30":-5,"_31":-5},"handle","enterprisebotpen","name","enterpriseair-api","branchName","main","version","path","","project",{"_33":61,"_13":14,"_45":62,"_63":-5,"_64":53,"_65":66,"_67":66,"_68":69,"_70":71,"_72":73,"_74":37,"_75":44,"_76":-5,"_77":-5,"_78":79,"_80":81,"_82":83,"_84":85,"_86":87,"_88":-5,"_89":90,"_91":90,"_92":93,"_94":93,"_95":93,"_96":90,"_97":90,"_98":99,"_100":101,"_102":103,"_104":53},"tree",[56],"file","contents",[32],"upstream","pull","ahead","behind","envVars",{"_33":34,"_13":35,"_36":37,"_38":-5,"_39":40,"_41":42,"_43":44,"_45":46,"_17":47,"_48":49,"_50":51,"_52":53,"_54":14,"_18":55},"id","45fc61f1-ec87-4740-85d2-b89716d07a06","main.ts","fileId","9cd2fe28-ad00-11f1-8f32-1607ee4eb77e","parentId","branchId","6785ae27-fa26-4787-84c1-96914727aa4a","branchVersion",11,"latest",true,"createdAt",["D",1789042950821],10,"fileType","http","content","/**\n * EnterpriseAir mock backend for the AIDA voice-agent lab.\n *\n * Create this as a new HTTP val on val.town (e.g. name it \"enterpriseair-api\"),\n * paste this whole file in, and press Run once to let it seed itself.\n * Your base URL will be something like https://-enterpriseair-api.val.run\n *\n * Routes:\n * GET / -> status page + sample test data (open this first)\n * GET /flights?origin=BLR&destination=DEL -> schedule lookup (optional &date=YYYY-MM-DD, defaults to today)\n * POST /verifybooking { booking_ref, last_name } -> { authenticated, token, flight_number, travel_date }\n * last_name is matched loosely (case/whitespace-insensitive, small typos and phonetic\n * near-misses allowed) since it's a voice-transcribed second factor, not the secret itself -\n * the hard-to-guess booking_ref is what actually protects the record. See isCloseNameMatch().\n * GET /flightstatus?token=... -> { flight_number, travel_date, status, delay_minutes, ... }\n *\n * Data model (3 tables, one val-scoped SQLite database):\n * flights - the recurring published schedule (static, matches the Flight Schedule doc)\n * bookings - who is booked on which flight, expressed as an offset from \"today\" so the\n * demo always has a live, current-looking booking no matter when you run the lab\n * flight_status - the day-specific operational status of a flight (on time / delayed / cancelled)\n */\n\nimport { sqlite } from \"https://esm.town/v/std/sqlite/main.ts\";\n\n// ---------------------------------------------------------------------------\n// Date helpers - bookings/status are keyed by an offset from \"today\" (0, 1, -1...)\n// so the seed data is always current, whenever this lab actually runs.\n// ---------------------------------------------------------------------------\n\nconst WEEKDAYS = [\"Sun\", \"Mon\", \"Tue\", \"Wed\", \"Thu\", \"Fri\", \"Sat\"];\n\nfunction dateForOffset(offsetDays: number): Date {\n const d = new Date();\n d.setUTCHours(0, 0, 0, 0);\n d.setUTCDate(d.getUTCDate() + offsetDays);\n return d;\n}\n\nfunction isoDate(d: Date): string {\n return d.toISOString().slice(0, 10);\n}\n\nfunction weekdayShort(d: Date): string {\n return WEEKDAYS[d.getUTCDay()];\n}\n\nfunction isoDateForOffset(offsetDays: number): string {\n return isoDate(dateForOffset(offsetDays));\n}\n\nfunction parseDateParam(dateStr: string | null): Date {\n if (!dateStr) return dateForOffset(0);\n const parsed = new Date(dateStr + \"T00:00:00Z\");\n return isNaN(parsed.getTime()) ? dateForOffset(0) : parsed;\n}\n\n// Turns a stored \"Sun,Mon,Tue,Wed,Thu,Fri,Sat\" into \"Daily\", and anything\n// else into a readable \"Mon, Wed, Fri, Sat, Sun\" list.\nfunction humanDays(daysOfWeek: string): string {\n const days = String(daysOfWeek).split(\",\");\n if (days.length === 7) return \"Daily\";\n return days.join(\", \");\n}\n\n// ---------------------------------------------------------------------------\n// Fuzzy last-name matching for /verifybooking.\n//\n// The booking_ref is the real secret here (a random 7-character code the\n// customer was issued at booking time - hard to guess, easy to type exactly).\n// last_name is only a second factor to catch someone quoting the wrong ref,\n// and it comes to us via voice transcription, so it should NOT require an\n// exact string match. A stray \"Meta\" vs \"Mehta\" or \"Vasquez\" vs \"Vasques\"\n// shouldn't lock a genuine customer out.\n// ---------------------------------------------------------------------------\n\nfunction lastNameOf(fullName: string): string {\n const parts = String(fullName).trim().split(/\\s+/);\n return parts[parts.length - 1] || \"\";\n}\n\n// Lowercase, strip accents, drop anything that isn't a-z (spaces, hyphens,\n// apostrophes) so \"O'Brien\", \"O Brien\" and \"obrien\" all normalize the same.\nfunction normalizeName(s: string): string {\n return String(s)\n .toLowerCase()\n .normalize(\"NFD\")\n .replace(/[\\u0300-\\u036f]/g, \"\")\n .replace(/[^a-z]/g, \"\");\n}\n\n// Standard Levenshtein edit distance (insert/delete/substitute).\nfunction levenshtein(a: string, b: string): number {\n const m = a.length, n = b.length;\n if (m === 0) return n;\n if (n === 0) return m;\n const prev = new Array(n + 1);\n const curr = new Array(n + 1);\n for (let j = 0; j <= n; j++) prev[j] = j;\n for (let i = 1; i <= m; i++) {\n curr[0] = i;\n for (let j = 1; j <= n; j++) {\n const cost = a[i - 1] === b[j - 1] ? 0 : 1;\n curr[j] = Math.min(prev[j] + 1, curr[j - 1] + 1, prev[j - 1] + cost);\n }\n for (let j = 0; j <= n; j++) prev[j] = curr[j];\n }\n return prev[n];\n}\n\n// How many edits we'll tolerate, scaled to the name's length - short names\n// have less room for a typo to hide in, long names have more.\nfunction toleranceFor(len: number): number {\n if (len <= 3) return 0;\n if (len <= 5) return 1;\n return 2;\n}\n\n// True if `spoken` is close enough to `onFile` to accept as the same last name.\nfunction isCloseNameMatch(spoken: string, onFile: string): boolean {\n const a = normalizeName(spoken);\n const b = normalizeName(onFile);\n if (!a || !b) return false;\n if (a === b) return true;\n return levenshtein(a, b) <= toleranceFor(b.length);\n}\n\n// ---------------------------------------------------------------------------\n// Schema + seed (idempotent - only inserts if the tables are empty)\n// ---------------------------------------------------------------------------\n\nasync function ensureSchema() {\n await sqlite.batch([\n `create table if not exists flights (\n flight_number text not null,\n origin_code text not null,\n origin_city text not null,\n destination_code text not null,\n destination_city text not null,\n departure_time text not null,\n arrival_time text not null,\n days_of_week text not null,\n aircraft text not null\n )`,\n `create table if not exists bookings (\n booking_ref text primary key,\n email text not null,\n passenger_name text not null,\n flight_number text not null,\n day_offset integer not null\n )`,\n `create table if not exists flight_status (\n flight_number text not null,\n day_offset integer not null,\n status text not null,\n delay_minutes integer not null default 0,\n new_departure_time text,\n gate text,\n primary key (flight_number, day_offset)\n )`,\n `create table if not exists verify_tokens (\n token text primary key,\n flight_number text not null,\n day_offset integer not null,\n created_at integer not null\n )`,\n ]);\n\n const countRow = await sqlite.execute(\"select count(*) as n from flights\");\n const n = Number((countRow.rows[0] as any).n);\n if (n > 0) return; // already seeded\n\n // Domestic + international + seasonal schedule, matching the EnterpriseAir\n // Flight Schedule document exactly (flight numbers, times, routes).\n const DAILY = \"Sun,Mon,Tue,Wed,Thu,Fri,Sat\";\n\n const flights = [\n // Domestic\n [\n \"EA101\",\n \"BLR\",\n \"Bengaluru\",\n \"DEL\",\n \"Delhi\",\n \"06:00\",\n \"08:40\",\n DAILY,\n \"A321neo\",\n ],\n [\n \"EA102\",\n \"DEL\",\n \"Delhi\",\n \"BLR\",\n \"Bengaluru\",\n \"09:30\",\n \"12:10\",\n DAILY,\n \"A321neo\",\n ],\n [\n \"EA105\",\n \"BLR\",\n \"Bengaluru\",\n \"DEL\",\n \"Delhi\",\n \"18:15\",\n \"20:55\",\n DAILY,\n \"A321neo\",\n ],\n [\n \"EA106\",\n \"DEL\",\n \"Delhi\",\n \"BLR\",\n \"Bengaluru\",\n \"21:45\",\n \"00:25\",\n DAILY,\n \"A321neo\",\n ],\n [\n \"EA201\",\n \"BLR\",\n \"Bengaluru\",\n \"BOM\",\n \"Mumbai\",\n \"07:00\",\n \"08:45\",\n DAILY,\n \"A320neo\",\n ],\n [\n \"EA202\",\n \"BOM\",\n \"Mumbai\",\n \"BLR\",\n \"Bengaluru\",\n \"09:30\",\n \"11:15\",\n DAILY,\n \"A320neo\",\n ],\n [\n \"EA205\",\n \"BLR\",\n \"Bengaluru\",\n \"BOM\",\n \"Mumbai\",\n \"19:00\",\n \"20:45\",\n DAILY,\n \"A320neo\",\n ],\n [\n \"EA206\",\n \"BOM\",\n \"Mumbai\",\n \"BLR\",\n \"Bengaluru\",\n \"21:30\",\n \"23:15\",\n DAILY,\n \"A320neo\",\n ],\n [\n \"EA301\",\n \"BLR\",\n \"Bengaluru\",\n \"MAA\",\n \"Chennai\",\n \"06:30\",\n \"07:35\",\n DAILY,\n \"A320neo\",\n ],\n [\n \"EA302\",\n \"MAA\",\n \"Chennai\",\n \"BLR\",\n \"Bengaluru\",\n \"08:20\",\n \"09:25\",\n DAILY,\n \"A320neo\",\n ],\n [\n \"EA351\",\n \"BLR\",\n \"Bengaluru\",\n \"CCU\",\n \"Kolkata\",\n \"12:00\",\n \"14:30\",\n DAILY,\n \"A320neo\",\n ],\n [\n \"EA352\",\n \"CCU\",\n \"Kolkata\",\n \"BLR\",\n \"Bengaluru\",\n \"15:15\",\n \"17:45\",\n DAILY,\n \"A320neo\",\n ],\n [\n \"EA401\",\n \"BLR\",\n \"Bengaluru\",\n \"HYD\",\n \"Hyderabad\",\n \"13:00\",\n \"14:05\",\n DAILY,\n \"A320neo\",\n ],\n [\n \"EA402\",\n \"HYD\",\n \"Hyderabad\",\n \"BLR\",\n \"Bengaluru\",\n \"14:50\",\n \"15:55\",\n DAILY,\n \"A320neo\",\n ],\n [\n \"EA451\",\n \"BLR\",\n \"Bengaluru\",\n \"COK\",\n \"Kochi\",\n \"17:00\",\n \"18:15\",\n DAILY,\n \"A320neo\",\n ],\n [\n \"EA452\",\n \"COK\",\n \"Kochi\",\n \"BLR\",\n \"Bengaluru\",\n \"19:00\",\n \"20:15\",\n DAILY,\n \"A320neo\",\n ],\n // International\n [\n \"EA701\",\n \"BLR\",\n \"Bengaluru\",\n \"DXB\",\n \"Dubai\",\n \"02:30\",\n \"04:45\",\n DAILY,\n \"787-9\",\n ],\n [\n \"EA702\",\n \"DXB\",\n \"Dubai\",\n \"BLR\",\n \"Bengaluru\",\n \"15:30\",\n \"20:30\",\n DAILY,\n \"787-9\",\n ],\n [\n \"EA711\",\n \"BLR\",\n \"Bengaluru\",\n \"SIN\",\n \"Singapore\",\n \"09:00\",\n \"15:30\",\n DAILY,\n \"787-9\",\n ],\n [\n \"EA712\",\n \"SIN\",\n \"Singapore\",\n \"BLR\",\n \"Bengaluru\",\n \"17:00\",\n \"19:00\",\n DAILY,\n \"787-9\",\n ],\n [\n \"EA721\",\n \"BLR\",\n \"Bengaluru\",\n \"LHR\",\n \"London Heathrow\",\n \"01:15\",\n \"06:30\",\n \"Mon,Wed,Fri,Sat,Sun\",\n \"787-9\",\n ],\n [\n \"EA722\",\n \"LHR\",\n \"London Heathrow\",\n \"BLR\",\n \"Bengaluru\",\n \"09:00\",\n \"22:30\",\n \"Mon,Wed,Fri,Sat,Sun\",\n \"787-9\",\n ],\n [\n \"EA731\",\n \"BLR\",\n \"Bengaluru\",\n \"FRA\",\n \"Frankfurt\",\n \"02:00\",\n \"07:15\",\n \"Tue,Thu,Sat,Sun\",\n \"787-9\",\n ],\n [\n \"EA732\",\n \"FRA\",\n \"Frankfurt\",\n \"BLR\",\n \"Bengaluru\",\n \"10:00\",\n \"23:45\",\n \"Tue,Thu,Sat,Sun\",\n \"787-9\",\n ],\n [\n \"EA741\",\n \"BLR\",\n \"Bengaluru\",\n \"JFK\",\n \"New York JFK\",\n \"02:00\",\n \"19:30\",\n \"Mon,Thu,Sat\",\n \"787-9\",\n ],\n [\n \"EA742\",\n \"JFK\",\n \"New York JFK\",\n \"BLR\",\n \"Bengaluru\",\n \"21:00\",\n \"23:55\",\n \"Mon,Thu,Sat\",\n \"787-9\",\n ],\n // Seasonal\n [\n \"EA761\",\n \"BLR\",\n \"Bengaluru\",\n \"MLE\",\n \"Male\",\n \"08:00\",\n \"09:45\",\n \"Tue,Fri,Sun\",\n \"A321neo\",\n ],\n [\n \"EA762\",\n \"MLE\",\n \"Male\",\n \"BLR\",\n \"Bengaluru\",\n \"10:30\",\n \"14:15\",\n \"Tue,Fri,Sun\",\n \"A321neo\",\n ],\n ];\n\n await sqlite.batch(\n flights.map((f) => ({\n sql:\n `insert into flights (flight_number, origin_code, origin_city, destination_code, destination_city, departure_time, arrival_time, days_of_week, aircraft) values (?, ?, ?, ?, ?, ?, ?, ?, ?)`,\n args: f,\n })),\n );\n\n // Bookings + their status, expressed relative to \"today\" so the lab always\n // has a mix of on-time, delayed and cancelled flights to demo, regardless\n // of the calendar date the lab is actually run on.\n const bookings = [\n // booking_ref, email, passenger_name, flight_number, day_offset\n // All offsets are >= 1 (tomorrow onwards) so no booking is ever \"today\" or in the past.\n [\"EA4F7K2\", \"sophie.turner@example.com\", \"Sophie Turner\", \"EA201\", 1],\n [\"EA9M2X8\", \"james.harrington@example.com\", \"James Harrington\", \"EA701\", 1],\n [\"EA1Q5T4\", \"elena.vasquez@example.com\", \"Elena Vasquez\", \"EA101\", 2],\n [\"EA7R3W9\", \"raj.mehta@example.com\", \"Raj Mehta\", \"EA731\", 1],\n [\"EA2K8L1\", \"amara.okafor@example.com\", \"Amara Okafor\", \"EA451\", 3],\n ];\n\n await sqlite.batch(\n bookings.map((b) => ({\n sql:\n `insert into bookings (booking_ref, email, passenger_name, flight_number, day_offset) values (?, ?, ?, ?, ?)`,\n args: b,\n })),\n );\n\n const statuses = [\n // flight_number, day_offset, status, delay_minutes, new_departure_time, gate\n // day_offset here must match the booking's day_offset above for each flight_number.\n [\"EA201\", 1, \"On Time\", 0, null, \"1A\"],\n [\"EA701\", 1, \"Delayed\", 45, \"03:15\", \"B12\"],\n [\"EA101\", 2, \"On Time\", 0, null, \"2C\"],\n [\"EA731\", 1, \"Cancelled\", 0, null, null],\n [\"EA451\", 3, \"On Time\", 0, null, \"1D\"],\n ];\n\n await sqlite.batch(\n statuses.map((s) => ({\n sql:\n `insert into flight_status (flight_number, day_offset, status, delay_minutes, new_departure_time, gate) values (?, ?, ?, ?, ?, ?)`,\n args: s,\n })),\n );\n}\n\n// ---------------------------------------------------------------------------\n// HTTP handler\n// ---------------------------------------------------------------------------\n\nconst CORS_HEADERS = {\n \"Access-Control-Allow-Origin\": \"*\",\n \"Access-Control-Allow-Methods\": \"GET, POST, OPTIONS\",\n \"Access-Control-Allow-Headers\": \"Content-Type\",\n};\n\nfunction json(data: unknown, status = 200): Response {\n return new Response(JSON.stringify(data, null, 2), {\n status,\n headers: { \"Content-Type\": \"application/json\", ...CORS_HEADERS },\n });\n}\n\nfunction html(body: string, status = 200): Response {\n return new Response(body, {\n status,\n headers: { \"Content-Type\": \"text/html; charset=utf-8\", ...CORS_HEADERS },\n });\n}\n\nexport default async function (req: Request): Promise {\n await ensureSchema();\n\n if (req.method === \"OPTIONS\") {\n return new Response(null, { status: 204, headers: CORS_HEADERS });\n }\n\n const url = new URL(req.url);\n\n // -------------------------------------------------------------------\n // GET / - status page, for humans checking the backend is alive\n // -------------------------------------------------------------------\n if (url.pathname === \"/\" && req.method === \"GET\") {\n const bookingsRes = await sqlite.execute(\"select * from bookings\");\n const rows = bookingsRes.rows as any[];\n const bookingRows = rows\n .map(\n (b) =>\n `${b.booking_ref}${b.passenger_name}${\n lastNameOf(b.passenger_name)\n }${b.flight_number}${\n isoDateForOffset(b.day_offset)\n }`,\n )\n .join(\"\\n\");\n\n return html(`\nEnterpriseAir mock API\n\n\n

EnterpriseAir mock backend

This backend is live. It backs the AIDA voice-agent lab for the EnterpriseAir flight-status demo.

Endpoints

GET /flights?origin=BLR&destination=DEL — returns the recurring schedule with each flight's operating days. Add &date=YYYY-MM-DD to filter to just that day.
POST /verifybooking body: {\"booking_ref\":\"...\",\"last_name\":\"...\"} — last_name is matched loosely (typos/near-misses OK)
GET /flightstatus?token=...

Test bookings (all data fictitious)

\n \n \n ${bookingRows}\n

Booking ref	Passenger	Last name to test with	Flight	Travel date

Dates are computed relative to today, so this table always looks current.

\n`);\n }\n\n // -------------------------------------------------------------------\n // GET /flights?origin=&destination=[&date=YYYY-MM-DD]\n //\n // Without a date: returns the recurring schedule for that route, each\n // flight labelled with the days it operates (this is the default - a\n // schedule is recurring, so we don't pretend it belongs to one date).\n //\n // With a date: also filters down to flights operating on that specific\n // date's weekday, and echoes back the resolved date/weekday, for cases\n // where the caller (or the agent) wants a yes/no answer for one day.\n // -------------------------------------------------------------------\n if (url.pathname === \"/flights\" && req.method === \"GET\") {\n const origin = (url.searchParams.get(\"origin\") || \"\").trim().toUpperCase();\n const destination = (url.searchParams.get(\"destination\") || \"\").trim()\n .toUpperCase();\n const dateParam = url.searchParams.get(\"date\");\n\n if (!origin || !destination) {\n return json({\n error:\n \"origin and destination are required (airport codes or city names)\",\n }, 400);\n }\n\n const result = await sqlite.execute({\n sql: `select * from flights\n where (upper(origin_code) = :o or upper(origin_city) = :o)\n and (upper(destination_code) = :d or upper(destination_city) = :d)`,\n args: { o: origin, d: destination },\n });\n\n let matches = result.rows as any[];\n let resolvedDate: string | null = null;\n let resolvedWeekday: string | null = null;\n\n if (dateParam) {\n const targetDate = parseDateParam(dateParam);\n resolvedWeekday = weekdayShort(targetDate);\n resolvedDate = isoDate(targetDate);\n matches = matches.filter((f) =>\n String(f.days_of_week).split(\",\").includes(resolvedWeekday)\n );\n }\n\n return json({\n query: {\n origin,\n destination,\n date: resolvedDate,\n weekday: resolvedWeekday,\n },\n count: matches.length,\n flights: matches.map((f) => ({\n flight_number: f.flight_number,\n origin: `${f.origin_city} (${f.origin_code})`,\n destination: `${f.destination_city} (${f.destination_code})`,\n departure_time: f.departure_time,\n arrival_time: f.arrival_time,\n aircraft: f.aircraft,\n days_of_week: humanDays(f.days_of_week),\n })),\n });\n }\n\n // -------------------------------------------------------------------\n // POST /verifybooking { booking_ref, last_name }\n //\n // last_name is matched fuzzily - see isCloseNameMatch() - because it's a\n // voice-transcribed second factor, not the secret itself.\n // -------------------------------------------------------------------\n if (url.pathname === \"/verifybooking\" && req.method === \"POST\") {\n let body: any = {};\n try {\n body = await req.json();\n } catch {\n return json({ authenticated: false, error: \"invalid JSON body\" }, 400);\n }\n\n const bookingRef = String(body.booking_ref || \"\").trim().toUpperCase();\n const lastName = String(body.last_name || \"\").trim();\n\n const result = await sqlite.execute({\n sql: `select * from bookings where upper(booking_ref) = :ref`,\n args: { ref: bookingRef },\n });\n const booking = (result.rows as any[])[0];\n\n if (\n !booking ||\n !isCloseNameMatch(lastName, lastNameOf(booking.passenger_name))\n ) {\n return json({ authenticated: false });\n }\n\n const token = crypto.randomUUID();\n await sqlite.execute({\n sql:\n `insert into verify_tokens (token, flight_number, day_offset, created_at) values (?, ?, ?, ?)`,\n args: [token, booking.flight_number, booking.day_offset, Date.now()],\n });\n\n return json({\n authenticated: true,\n token,\n flight_number: booking.flight_number,\n travel_date: isoDateForOffset(booking.day_offset),\n });\n }\n\n // -------------------------------------------------------------------\n // GET /flightstatus?token=...\n // -------------------------------------------------------------------\n if (url.pathname === \"/flightstatus\" && req.method === \"GET\") {\n const token = url.searchParams.get(\"token\") || \"\";\n\n const tokenRes = await sqlite.execute({\n sql: `select * from verify_tokens where token = :t`,\n args: { t: token },\n });\n const tokenRow = (tokenRes.rows as any[])[0];\n if (!tokenRow) {\n return json({ error: \"invalid or expired token\" }, 401);\n }\n\n const statusRes = await sqlite.execute({\n sql:\n `select * from flight_status where flight_number = :f and day_offset = :o`,\n args: { f: tokenRow.flight_number, o: tokenRow.day_offset },\n });\n const status = (statusRes.rows as any[])[0];\n\n if (!status) {\n return json({\n flight_number: tokenRow.flight_number,\n travel_date: isoDateForOffset(tokenRow.day_offset),\n status: \"On Time\",\n delay_minutes: 0,\n });\n }\n\n return json({\n flight_number: status.flight_number,\n travel_date: isoDateForOffset(status.day_offset),\n status: status.status,\n delay_minutes: status.delay_minutes,\n new_departure_time: status.new_departure_time,\n gate: status.gate,\n });\n }\n\n return json({ error: \"not found\" }, 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Code