refactor: update OpenAI TTS integration and cleanup imports

- index.vue: comment out cockpit simulator image
- learn.vue: remove unused imports (useRadioTTS, learnModules)
- atc/say.post.ts & utils/normalize.ts: rename openaiOld → normalize, adjust TTS calls, skip ensureDir/writeFile
- communicationsEngine.ts: fix atcDecisionTree import path
This commit is contained in:
itsrubberduck
2025-09-16 16:14:12 +02:00
parent 8abd011514
commit a7eebf0baf
7 changed files with 429 additions and 211 deletions

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@@ -1,110 +0,0 @@
// server/api/atc/audio/[...path].get.ts
import { createError } from "h3";
import { readFile, stat } from "node:fs/promises";
import { join } from "node:path";
import { existsSync } from "node:fs";
function outDir() {
const base = process.env.ATC_OUT_DIR?.trim() || join(process.cwd(), "storage", "atc");
return base;
}
export default defineEventHandler(async (event) => {
const path = getRouterParam(event, 'path');
if (!path || typeof path !== 'string') {
throw createError({
statusCode: 400,
statusMessage: "Invalid path"
});
}
// Sicherheitscheck: verhindere Directory Traversal
if (path.includes('..') || path.includes('/./') || path.startsWith('/')) {
throw createError({
statusCode: 400,
statusMessage: "Invalid path"
});
}
const filePath = join(outDir(), path);
if (!existsSync(filePath)) {
throw createError({
statusCode: 404,
statusMessage: "Audio file not found"
});
}
try {
const stats = await stat(filePath);
if (!stats.isFile()) {
throw createError({
statusCode: 400,
statusMessage: "Path is not a file"
});
}
// Nur Audio-Dateien servieren
const allowedExtensions = ['.wav', '.mp3', '.ogg'];
const hasValidExtension = allowedExtensions.some(ext => filePath.toLowerCase().endsWith(ext));
if (!hasValidExtension) {
throw createError({
statusCode: 400,
statusMessage: "Not an audio file"
});
}
const fileBuffer = await readFile(filePath);
// MIME Type basierend auf Dateiendung
let mimeType = 'audio/ogg';
if (filePath.endsWith('.wav')) {
mimeType = 'audio/wav';
} else if (filePath.endsWith('.mp3')) {
mimeType = 'audio/mpeg';
} else if (filePath.endsWith('.ogg')) {
mimeType = 'audio/ogg; codecs=opus';
}
// HTTP Headers für Audio-Streaming
setHeader(event, 'Content-Type', mimeType);
setHeader(event, 'Content-Length', stats.size.toString());
setHeader(event, 'Accept-Ranges', 'bytes');
setHeader(event, 'Cache-Control', 'public, max-age=3600'); // 1 Stunde Cache
setHeader(event, 'Access-Control-Allow-Origin', '*');
// Range-Request Support für Audio-Seeking
const range = getHeader(event, 'range');
if (range) {
const parts = range.replace(/bytes=/, "").split("-");
const start = parseInt(parts[0], 10);
const end = parts[1] ? parseInt(parts[1], 10) : stats.size - 1;
if (start >= stats.size || end >= stats.size) {
setResponseStatus(event, 416); // Range Not Satisfiable
setHeader(event, 'Content-Range', `bytes */${stats.size}`);
return '';
}
const chunkSize = (end - start) + 1;
const chunk = fileBuffer.slice(start, end + 1);
setResponseStatus(event, 206); // Partial Content
setHeader(event, 'Content-Range', `bytes ${start}-${end}/${stats.size}`);
setHeader(event, 'Content-Length', chunkSize.toString());
return chunk;
}
return fileBuffer;
} catch (error) {
throw createError({
statusCode: 500,
statusMessage: `Failed to serve audio file: ${error}`
});
}
});

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@@ -1,96 +0,0 @@
// server/api/atc/generate.post.ts
import { createError, readBody } from "h3";
import { generateATCPhrase, getRandomPhraseForLesson, getPhrasesForLesson } from "../../utils/atcPhrases";
import { normalizeATC } from "../../utils/openaiOld";
export default defineEventHandler(async (event) => {
const body = await readBody<{
moduleId: string;
lessonId: string;
phraseId?: string;
customVariables?: Record<string, string>;
type?: 'instruction' | 'clearance' | 'information' | 'request';
count?: number;
}>(event);
const { moduleId, lessonId, phraseId, customVariables, type, count = 1 } = body;
if (!moduleId || !lessonId) {
throw createError({
statusCode: 400,
statusMessage: "moduleId and lessonId are required"
});
}
try {
let phrases: string[] = [];
if (phraseId) {
// Spezifische Phrase generieren
const phrase = generateATCPhrase(phraseId, customVariables);
phrases.push(phrase);
} else {
// Zufällige Phrasen für das Modul/Lektion generieren
const availablePhrases = getPhrasesForLesson(moduleId, lessonId);
if (availablePhrases.length === 0) {
throw createError({
statusCode: 404,
statusMessage: `No phrases found for module "${moduleId}", lesson "${lessonId}"`
});
}
// Filter nach Typ wenn angegeben
const filteredPhrases = type
? availablePhrases.filter(p => p.type === type)
: availablePhrases;
if (filteredPhrases.length === 0) {
throw createError({
statusCode: 404,
statusMessage: `No phrases of type "${type}" found for module "${moduleId}", lesson "${lessonId}"`
});
}
// Generiere die gewünschte Anzahl von Phrasen
for (let i = 0; i < Math.min(count, 10); i++) { // Max 10 Phrasen pro Request
const randomPhrase = filteredPhrases[Math.floor(Math.random() * filteredPhrases.length)];
const generated = generateATCPhrase(randomPhrase.id, customVariables);
phrases.push(generated);
}
}
// Normalisiere alle Phrasen für TTS
const normalizedPhrases = phrases.map(phrase => ({
original: phrase,
normalized: normalizeATC(phrase),
length: phrase.length
}));
return {
success: true,
moduleId,
lessonId,
type: type || 'any',
count: phrases.length,
phrases: normalizedPhrases,
availableTypes: getPhrasesForLesson(moduleId, lessonId)
.map(p => p.type)
.filter((type, index, arr) => arr.indexOf(type) === index), // Unique types
meta: {
totalAvailablePhrases: getPhrasesForLesson(moduleId, lessonId).length,
generatedAt: new Date().toISOString()
}
};
} catch (error) {
if (error.statusCode) {
throw error; // Re-throw HTTP errors
}
throw createError({
statusCode: 500,
statusMessage: `Phrase generation failed: ${error}`
});
}
});

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@@ -4,7 +4,7 @@ import {writeFile, mkdir} from "node:fs/promises";
import {existsSync} from "node:fs";
import {join} from "node:path";
import {randomUUID} from "node:crypto";
import {openaiOld, TTS_MODEL, normalizeATC} from "../../utils/openaiOld";
import {normalize, TTS_MODEL, normalizeATC} from "../../utils/normalize";
import {request} from "node:http";
// dotenv config
@@ -100,7 +100,7 @@ export default defineEventHandler(async (event) => {
audioBuffer = await piperTTS(normalized, voice);
} else {
// --- OpenAI Fallback ---
const tts = await openaiOld.audio.speech.create({
const tts = await normalize.audio.speech.create({
model: TTS_MODEL,
voice,
format: "wav",
@@ -110,7 +110,7 @@ export default defineEventHandler(async (event) => {
audioBuffer = Buffer.from(await tts.arrayBuffer());
}
await ensureDir(baseDir);
// await ensureDir(baseDir);
// await writeFile(fileWav, audioBuffer);
const meta = {
@@ -130,7 +130,7 @@ export default defineEventHandler(async (event) => {
format: "audio/wav"
};
await writeFile(fileJson, JSON.stringify(meta, null, 2), "utf-8");
// await writeFile(fileJson, JSON.stringify(meta, null, 2), "utf-8");
return {
success: true,

294
server/utils/normalize.ts Normal file
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@@ -0,0 +1,294 @@
// yarn add openai dotenv
import OpenAI from "openai";
import dotenv from "dotenv";
import fs from "node:fs";
dotenv.config();
export const normalize = new OpenAI({
apiKey: process.env.OPENAI_API_KEY!,
project: process.env.OPENAI_PROJECT, // optional
});
export const LLM_MODEL = process.env.LLM_MODEL || "gpt-5-nano";
export const TTS_MODEL = process.env.TTS_MODEL || "tts-1";
/* =========================
LLM PROMPTS (überarbeitet)
=========================
Ziel: LLM liefert kompakte, maschinenfreundliche ICAO-Zeile, die unser Normalizer→TTS perfekt erweitert.
WICHTIG: Zahlen/Marker exakt im unten definierten Output-Format, keine ausgeschriebenen Wörter.
*/
export const ATC_OUTPUT_SPEC = `
OUTPUT RULES (STRICT):
- ONE instruction only. No chit-chat. No readback. No explanations.
- English ICAO phraseology; keep it concise.
- Use the following tokens exactly; numbers as digits:
* Callsign: AAA123[Letter] (e.g., DLH359, BAW12A).
* Runway: "RWY" + two digits + optional L/C/R (e.g., RWY 25R, RWY 08L).
* Heading: "HDG" + 3 digits (e.g., HDG 270).
* Flight level: "FL" + 23 digits (e.g., FL120, FL90).
* Altitude (feet): "<number> ft" (e.g., 2000 ft, 5000 ft).
* Squawk: "squawk" + 4 digits (e.g., squawk 4723).
* QNH: "QNH" + 34 digits (e.g., QNH 1013).
* Frequency: 3 digits "." 3 digits (e.g., 112.955, 121.800). Use 3+3 format.
* ICAO airport: 4 capital letters (e.g., EDDF, EHAM).
* Taxi: "via" + space-separated TWY designators (e.g., via A3 A N2).
- Separate segments by ". " (period + space). Keep line to <= 220 chars.
- Only include items relevant to current phase (clearance/taxi/line-up/dep/approach/landing).
- If you must give a contact instruction: "Contact <frequency>."
- Use standard order for the phase (e.g., taxi: destination RWY first, then route, then hold short).
`.trim();
/** System-Prompt: legt Rolle/Regeln fest */
export function atcSystemPrompt(opts?: {
regionHint?: "EUR" | "US" | "INTL"; // nur als Soft-Hinweis, default INTL
}) {
const region = opts?.regionHint ?? "INTL";
return [
`You are an ICAO-compliant ATC controller for ${region}.`,
`Adhere to standard phraseology, brevity, and safety-critical ordering.`,
`Assume you have access to current airport config (active runway, SIDs), unless contradicted by user context.`,
ATC_OUTPUT_SPEC,
].join("\n\n");
}
/** Seed-ATC ohne Pilot-Input (rückwärtskompatible Signatur, aber reicherer Prompt) */
export function atcSeedPrompt(s: {
airport: string; // e.g., "EDDF"
aircraft: string; // e.g., "A320"
type: string; // e.g., "IFR"
stand: string; // e.g., "V155"
dep: string; // destination ICAO, e.g., "EHAM"
sid?: string; // e.g., "MARUN 7F"
squawk?: string; // "4723"
freq?: string; // "121.800"
runway?: string; // "25R" (optional: falls bekannt)
phase?: "clearance" | "taxi" | "lineup" | "departure" | "handoff" | "approach" | "landing";
notes?: string; // z.B. "TWY N closed between N2N4"
}) {
// Default-Phase: clearance
const phase = s.phase || "clearance";
const ctx = [
`Airport ${s.airport}`,
`${s.aircraft} ${s.type} at stand ${s.stand}`,
`IFR departure ${s.dep}`,
s.runway ? `planned RWY ${s.runway}` : null,
s.sid ? `planned SID ${s.sid}` : null,
s.squawk ? `preassigned squawk ${s.squawk}` : null,
s.freq ? `next frequency ${s.freq}` : null,
s.notes ? `NOTAM/ATC notes: ${s.notes}` : null,
].filter(Boolean).join(", ");
const need = phase === "clearance"
? "Issue an IFR clearance (route/SID if given, initial altitude, squawk, and current QNH if applicable)."
: phase === "taxi"
? "Issue a taxi instruction to the departure RWY with a realistic taxi route and 'hold short'."
: phase === "lineup"
? "Issue line-up and wait (or immediate takeoff if appropriate)."
: phase === "departure"
? "Issue initial heading/speed/altitude or 'climb via SID' as appropriate."
: phase === "handoff"
? "Issue handoff to next frequency."
: phase === "approach"
? "Issue approach clearance with runway, altitude/FL, QNH if appropriate."
: "Issue landing clearance with runway and any exit/roll-out instructions.";
return [
`Generate ONE realistic ICAO ATC instruction in English. No extra commentary.`,
`Context: ${ctx}`,
`Phase: ${phase}`,
`Task: ${need}`,
ATC_OUTPUT_SPEC,
].join("\n");
}
/** Pilot→ATC (rückwärtskompatibler Name, aber mit robustem Rahmen) */
export function atcReplyPrompt(userText: string, state?: {
airport?: string; runway?: string; sid?: string; dep?: string;
lastSquawk?: string; lastFreq?: string; lastQNH?: string;
phase?: "clearance" | "taxi" | "lineup" | "departure" | "handoff" | "approach" | "landing";
constraints?: string; // z.B. "TWY N closed", "no intersection deps on 25C"
}) {
const ctx = [
state?.airport ? `Airport ${state.airport}` : null,
state?.runway ? `Active RWY ${state.runway}` : null,
state?.dep ? `Destination ${state.dep}` : null,
state?.sid ? `SID ${state.sid}` : null,
state?.lastSquawk ? `Last squawk ${state.lastSquawk}` : null,
state?.lastFreq ? `Next/last freq ${state.lastFreq}` : null,
state?.lastQNH ? `QNH ${state.lastQNH}` : null,
state?.constraints ? `Constraints: ${state.constraints}` : null,
].filter(Boolean).join(", ");
const phase = state?.phase ?? "clearance";
return [
`You are an ICAO-compliant ATC controller. Reply concisely in standard phraseology.`,
ctx ? `Context: ${ctx}` : null,
`Pilot said: "${userText}"`,
`Phase: ${phase}`,
`Respond with ONE instruction following the rules.`,
ATC_OUTPUT_SPEC,
].filter(Boolean).join("\n");
}
/* =========================
Normalizer → TTS (wie zuvor)
========================= */
const DIGIT: Record<string, string> = {
"0": "zero", "1": "wun", "2": "too", "3": "tree", "4": "fower",
"5": "fife", "6": "six", "7": "seven", "8": "eight", "9": "niner",
};
const NATO: Record<string, string> = {
A:"Alfa",B:"Bravo",C:"Charlie",D:"Delta",E:"Echo",F:"Foxtrot",G:"Golf",H:"Hotel",
I:"India",J:"Juliett",K:"Kilo",L:"Lima",M:"Mike",N:"November",O:"Oscar",P:"Papa",
Q:"Quebec",R:"Romeo",S:"Sierra",T:"Tango",U:"Uniform",V:"Victor",W:"Whiskey",
X:"X-ray",Y:"Yankee",Z:"Zulu"
};
// Airline-Telephony (erweiterbar)
export const CALLSIGN_MAP: Record<string,string> = {
DLH: "Lufthansa",
BAW: "Speedbird",
AFR: "Air France",
KLM: "KLM",
AAL: "American",
UAL: "United",
DAL: "Delta",
RYR: "Ryanair",
EZY: "Easy",
};
const spellDigits = (s: string) =>
s.split("").map(ch => DIGIT[ch] ?? ch).join(" ");
const toNato = (s: string) =>
s.toUpperCase().split("").map(ch => NATO[ch] ?? ch).join("-");
const runwaySpeak = (rw: string) => {
const m = rw.match(/^(\d{2})([LCR])?$/i);
if (!m) return rw;
const num = spellDigits(m[1]);
const side = m[2]?.toUpperCase() === "L" ? "left"
: m[2]?.toUpperCase() === "C" ? "center"
: m[2]?.toUpperCase() === "R" ? "right" : "";
return `runway ${num}${side ? " " + side : ""}`;
};
const headingSpeak = (hdg: string) => `heading ${spellDigits(hdg.padStart(3, "0"))}`;
const squawkSpeak = (code: string) => `squawk ${spellDigits(code)}`;
const freqSpeak = (f: string) => {
const [a,b] = f.split(".");
const left = spellDigits(a);
const right = b ? spellDigits(b) : "";
return `${left}${b ? " decimal " + right : ""}`;
};
const altitudeSpeak = (ft: number) => {
if (!Number.isFinite(ft)) return `${ft} feet`;
const thousands = Math.floor(ft/1000);
const hundreds = Math.round((ft % 1000)/100)*100;
const parts: string[] = [];
if (thousands) parts.push(`${spellDigits(String(thousands))} thousand`);
if (hundreds) {
const h = hundreds === 900 ? "nine hundred"
: hundreds === 800 ? "eight hundred"
: hundreds === 700 ? "seven hundred"
: hundreds === 600 ? "six hundred"
: hundreds === 500 ? "five hundred"
: hundreds === 400 ? "fower hundred"
: hundreds === 300 ? "tree hundred"
: hundreds === 200 ? "too hundred"
: hundreds === 100 ? "wun hundred"
: spellDigits(String(hundreds));
parts.push(h);
}
return `${parts.join(" ")} feet`.trim();
};
const flightLevelSpeak = (fl: string) =>
`flight level ${spellDigits(fl.replace(/^0+/, ""))}`;
const qnhSpeak = (q: string) => `QNH ${spellDigits(q)}`;
const callsignSpeak = (raw: string, map: Record<string,string>) => {
const up = raw.toUpperCase();
const m = up.match(/^([A-Z]{2,3})(\d{1,4}[A-Z]?)$/);
if (!m) return raw;
const telephony = map[m[1]] ?? toNato(m[1]).replace(/-/g," ");
const suffix = spellDigits(m[2].replace(/[A-Z]$/, (l) => " " + (NATO[l] ?? l)));
return `${telephony} ${suffix}`;
};
const icaoAirportSpeak = (code: string) =>
/^[A-Z]{4}$/.test(code) ? toNato(code) : code;
// Public Normalizer
export function normalizeATC(
text: string,
opts?: { airlineMap?: Record<string,string>; }
) {
let out = text;
out = out.replace(/\b(\d{3})\.(\d{3})\b/g, (_,a,b)=> `${freqSpeak(`${a}.${b}`)}`);
out = out.replace(/\b(?:HDG|heading)\s*(\d{2,3})\b/gi, (_,h)=> headingSpeak(h));
out = out.replace(/\b(?:RWY|runway)\s*(\d{2}[LCR]?)\b/gi, (_,rw)=> runwaySpeak(rw));
out = out.replace(/\b(?:squawk|code)\s*(\d{4})\b/gi, (_,c)=> squawkSpeak(c));
out = out.replace(/\bFL\s*(\d{2,3})\b/gi, (_,fl)=> flightLevelSpeak(fl));
out = out.replace(/\b(\d{3,5})\s*(?:ft|feet)\b/gi, (_,ft)=> altitudeSpeak(Number(ft)));
out = out.replace(/\bQNH\s*(\d{3,4})\b/gi, (_,q)=> qnhSpeak(q));
out = out.replace(/\b([A-Z]{4})\b/g, (_,code)=> icaoAirportSpeak(code));
out = out.replace(/\b([A-Z]{2,3}\d{1,4}[A-Z]?)\b/g, (m)=> callsignSpeak(m, opts?.airlineMap ?? CALLSIGN_MAP));
return out.replace(/\s+/g," ").trim();
}
// TTS Wrapper (mp3)
export async function speakATC(text: string, filePath = "atc.mp3") {
const input = normalizeATC(text);
const resp = await (normalize as any).audio.speech.create({
model: TTS_MODEL,
voice: "alloy",
input,
format: "mp3",
});
const buf = Buffer.from(await resp.arrayBuffer());
fs.writeFileSync(filePath, buf);
return { filePath, spoken: input };
}
/* =========================
Beispiele
=========================
— Seed (Clearance):
const sys = atcSystemPrompt();
const usr = atcSeedPrompt({
airport: "EDDF", aircraft: "A320", type: "IFR", stand: "V155",
dep: "EHAM", sid: "MARUN 7F", runway: "25R", freq: "121.800"
});
// → LLM antwortet z.B.:
// "DLH359, cleared to EHAM via MARUN 7F, initial 5000 ft, squawk 4723. QNH 1013."
— Taxi:
const usrTaxi = atcSeedPrompt({
airport: "EDDF", aircraft: "A320", type: "IFR", stand: "V155",
dep: "EHAM", runway: "25R", phase: "taxi",
notes: "TWY N closed between N2N4"
});
// → "DLH359, taxi to RWY 25R via A3 A N2, hold short."
— Pilot→ATC:
const usrReply = atcReplyPrompt(
"DLH359 ready for departure RWY 25R",
{ airport: "EDDF", runway: "25R", phase: "lineup", lastFreq: "121.800" }
);
// → "DLH359, line up and wait RWY 25R."
Nach dem LLM-Output: `speakATC(llmText)` ruft Normalizer→TTS.
*/

130
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@@ -0,0 +1,130 @@
import {ref} from "vue";
/** MODULES **/
export type Lesson = { id: string; title: string; desc: string; target: string; hints: string[]; keywords: string[] }
export type ModuleDef = { id: string; title: string; subtitle: string; art: string; lessons: Lesson[] }
const modules = ref<ModuleDef[]>([
// NEW: ICAO Kapitel
{
id: 'icao',
title: 'ICAO Alphabet',
subtitle: 'Alphabets & Numbers',
art: 'https://images.unsplash.com/photo-1488085061387-422e29b40080?q=80&w=1600&auto=format&fit=crop',
lessons: [
{
id: 'alpha',
title: 'Alphabet AM',
desc: 'Alpha bis Mike sprechen.',
target: 'Alpha Bravo Charlie Delta Echo Foxtrot Golf Hotel India Juliett Kilo Lima Mike.',
hints: ['konstant sprechen', 'deutlich trennen'],
keywords: ['Alpha', 'Bravo', 'Charlie', 'Delta', 'Echo', 'Foxtrot', 'Golf', 'Hotel', 'India', 'Juliett', 'Kilo', 'Lima', 'Mike']
},
{
id: 'alpha2',
title: 'Alphabet NZ',
desc: 'November bis Zulu.',
target: 'November Oscar Papa Quebec Romeo Sierra Tango Uniform Victor Whiskey X-ray Yankee Zulu.',
hints: ['X-ray mit hyphen', 'Juliett mit zwei t'],
keywords: ['November', 'Oscar', 'Papa', 'Quebec', 'Romeo', 'Sierra', 'Tango', 'Uniform', 'Victor', 'Whiskey', 'X-ray', 'Yankee', 'Zulu']
},
{
id: 'numbers',
title: 'Zahlen',
desc: 'ICAO-Nummernlesen.',
target: 'Tree Fower Fife Six Seven Eight Niner Zero.',
hints: ['Nine → Niner', 'Three → Tree', 'Four → Fower', 'Five → Fife'],
keywords: ['Tree', 'Fower', 'Fife', 'Niner']
},
{
id: 'callsign-icao',
title: 'Callsign Buchstabieren',
desc: 'Beispiel-Callsign.',
target: 'DLH one two three, Lufthansa one two three.',
hints: ['DLH → Lufthansa', 'Nummern ICAO'],
keywords: ['Lufthansa', 'DLH', 'one', 'two', 'three']
}
]
},
{
id: 'basics',
title: 'Basics',
subtitle: 'Callsign · Struktur · Zahlen',
art: 'https://images.unsplash.com/photo-1541392822270-85b2ff6c4577?q=80&w=1600&auto=format&fit=crop',
lessons: [
{
id: 'checkin',
title: 'Check-in',
desc: 'Erster Call korrekt.',
target: 'Frankfurt Ground, Lufthansa one two three at stand A12, request taxi.',
hints: ['Station • Callsign • Position • Intent'],
keywords: ['Frankfurt Ground', 'Lufthansa', 'stand', 'request taxi']
},
{
id: 'readback', title: 'Short Readback', desc: 'Kurz bestätigen.',
target: 'Lufthansa one two three, roger.',
hints: ['Callsign + roger/affirm'], keywords: ['roger', 'affirm']
}
]
},
{
id: 'ground',
title: 'Ground',
subtitle: 'Taxi • Hold Short • Handoff',
art: 'https://images.unsplash.com/photo-1523961131990-5ea7c61b2107?q=80&w=1600&auto=format&fit=crop',
lessons: [
{
id: 'taxi1', title: 'Taxi-Clearance', desc: 'Via A, A5, B2.',
target: 'Lufthansa one two three, taxi to runway two five via A, A five, B two, hold short runway two five.',
hints: ['Taxi to runway • via • hold short'], keywords: ['taxi to runway', 'via', 'hold short']
},
{
id: 'handoff', title: 'Handoff', desc: 'Frequenzwechsel.',
target: 'Contact Tower on one one niner decimal five, Lufthansa one two three.',
hints: ['Contact Tower on … • decimal'], keywords: ['Contact Tower', 'decimal']
}
]
},
{
id: 'departure',
title: 'Departure',
subtitle: 'Line up • Takeoff',
art: 'https://images.unsplash.com/photo-1494412685616-a5d310fbb07d?q=80&w=1600&auto=format&fit=crop',
lessons: [
{
id: 'lineup', title: 'Line up', desc: 'Aufrollen und warten.',
target: 'Lufthansa one two three, line up and wait runway two five.',
hints: ['line up and wait'], keywords: ['line up and wait']
}
]
},
{
id: 'arrival',
title: 'Arrival',
subtitle: 'Approach • Vacate',
art: 'https://images.unsplash.com/photo-1542089363-07b2d92aacc3?q=80&w=1600&auto=format&fit=crop',
lessons: [
{
id: 'vacate', title: 'Vacate', desc: 'Verlasse Bahn, melde frei.',
target: 'Lufthansa one two three, vacated runway two five via A six.',
hints: ['vacated runway • via taxiway'], keywords: ['vacated', 'runway']
}
]
},
{
id: 'vatsim',
title: 'VATSIM',
subtitle: 'Netiquette • Connect',
art: 'https://images.unsplash.com/photo-1508264769638-658b34d79f6e?q=80&w=1600&auto=format&fit=crop',
lessons: [
{
id: 'checkin', title: 'IFR Check-in', desc: 'Erster Online-Call.',
target: 'Frankfurt Ground, Lufthansa one two three, A320 at stand A12, IFR to Munich, information Bravo, request clearance.',
hints: ['IFR/VFR • ATIS Info • Request'], keywords: ['IFR', 'information', 'request clearance']
}
]
}
])
export default modules

View File

@@ -1,6 +1,6 @@
// composables/communicationsEngine.ts
import { ref, computed, readonly } from 'vue'
import atcDecisionTree from "./atcDecisionTree";
import atcDecisionTree from "../data/atcDecisionTree";
// --- DecisionTree-Types (aus ~/data/atcDecisionTree.json abgeleitet) ---
type Role = 'pilot' | 'atc' | 'system'