Add bus detail functionality and update organization selection UI
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@@ -48,3 +48,6 @@ verify_jwt = false
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[functions.operations-stop-detail]
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verify_jwt = false
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[functions.operations-bus-detail]
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verify_jwt = false
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@@ -0,0 +1,81 @@
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import { fail, handleOptions, json } from "../_shared/http.ts";
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import { requireUser } from "../_shared/supabase.ts";
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Deno.serve(async (req) => {
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const preflight = handleOptions(req);
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if (preflight) return preflight;
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if (req.method !== "POST") return fail("Method not allowed", 405);
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const { client, user, error: userError } = await requireUser(req);
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if (!user) return fail(userError ?? "Unauthorized", 401);
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let body: { channel_id?: string; schedule_id?: string; bus_work_number?: string };
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try {
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body = await req.json();
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} catch {
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return fail("Invalid JSON body");
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}
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const channelId = (body.channel_id ?? "").trim();
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const scheduleId = (body.schedule_id ?? "").trim();
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const busWorkNumber = (body.bus_work_number ?? "").trim();
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if (!channelId) return fail("channel_id is required");
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if (!scheduleId) return fail("schedule_id is required");
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if (!busWorkNumber) return fail("bus_work_number is required");
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const { data: schedule, error: scheduleError } = await client
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.from("operations_schedules")
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.select("id, channel_id")
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.eq("id", scheduleId)
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.eq("channel_id", channelId)
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.maybeSingle();
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if (scheduleError) return fail(scheduleError.message, 400);
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if (!schedule) return fail("forbidden", 403);
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const { data: tripRows, error: tripError } = await client
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.from("operations_trips")
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.select("id, trip_number, duty_number, bus_work_number, direction, sort_order")
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.eq("schedule_id", scheduleId)
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.eq("bus_work_number", busWorkNumber)
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.order("sort_order", { ascending: true });
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if (tripError) return fail(tripError.message, 500);
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const trips = (tripRows ?? []) as {
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id: string;
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trip_number: string;
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duty_number: string;
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bus_work_number: string;
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direction: string;
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sort_order: number;
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}[];
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if (trips.length === 0) return json({ trips: [] });
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const tripIds = trips.map((t) => t.id);
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const { data: stopRows, error: stopError } = await client
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.from("operations_trip_stops")
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.select("id, trip_id, stop_sequence, stop_name, scheduled_time")
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.in("trip_id", tripIds)
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.order("stop_sequence", { ascending: true });
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if (stopError) return fail(stopError.message, 500);
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const stopsByTripId: Record<string, typeof stopRows> = {};
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for (const stop of stopRows ?? []) {
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const s = stop as { trip_id: string };
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if (!stopsByTripId[s.trip_id]) stopsByTripId[s.trip_id] = [];
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stopsByTripId[s.trip_id]!.push(stop);
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}
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const result = trips.map((trip) => ({
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...trip,
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stops: stopsByTripId[trip.id] ?? [],
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}));
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return json({ trips: result });
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});
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@@ -63,6 +63,7 @@ Deno.serve(async (req) => {
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}[];
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const duties = [...new Set(trips.map((t) => t.duty_number))].sort();
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const busWorkNumbers = [...new Set(trips.map((t) => t.bus_work_number))].sort();
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const tripMeta = trips.map((t) => ({
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trip_number: t.trip_number,
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@@ -109,6 +110,7 @@ Deno.serve(async (req) => {
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has_schedule: true,
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schedule_id: scheduleId,
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duties,
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bus_work_numbers: busWorkNumbers,
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trips: tripMeta,
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stop_names: stopNames,
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aliases,
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@@ -14,24 +14,23 @@ type OpenAiAlias = {
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estimated?: string;
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};
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const prompt = `You are interpreting abbreviated station names from a rail replacement service display.
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const prompt = `You are interpreting abbreviated stop names from a bus schedule display.
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Each entry follows this structure:
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* A 4-letter station code (derived from the real station name, often by removing vowels or compressing syllables)
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* A 2-letter stop code (ignore this; it is ambiguous and not needed)
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* A short stop code (typically 4 letters, derived from the stop name by removing vowels or compressing syllables)
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* A 2-letter zone or bay code (ignore this; it is not needed)
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* An optional "T" indicating terminus (ignore for naming purposes)
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Your task is to infer the full station names from the 4-letter codes.
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Your task is to infer the full stop names from the short codes.
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Guidelines:
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* Treat the 4-letter code as a compressed version of a real station name (e.g. consonant-heavy, missing vowels, or merged syllables)
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* Use pattern recognition rather than strict decoding
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* Prefer real-world plausibility over perfect letter matching
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* Assume all stations are on the same rail corridor or geographically connected route
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* Use the sequence of stops to inform your guesses (adjacent stations should make sense geographically)
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* If a code is slightly irregular, prioritise what fits the route best over what matches the letters exactly
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* Treat the code as a compressed version of a stop or locality name
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* Use pattern recognition rather than strict letter matching
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* Do not assume any specific country, region or city — infer purely from the codes and their sequence
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* Use the sequence of stops to inform your guesses (adjacent stops should make sense as a connected route)
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* If a code is ambiguous, prefer the interpretation that best fits the surrounding stops
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Output:
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Return JSON with shape {"aliases":[{"original":"<code>","estimated":"<name>"}]}.
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