feat(atis): ICAO phraseology normalizer for spoken ATIS

The ATIS loop sent raw VATSIM `text_atis` to TTS, producing "Q-N-H one
thousand twenty-four", "WIND oh thirty degrees", "RUNWAY oh eight L".
New `normalizeAtisForSpeech` applies ATIS-specific transforms — info
letter → phonetic alphabet, wind/temperature/time digit-by-digit, TRL
expansion, NOSIG → "no significant change", cloud layers (BKN030 →
broken three thousand), visibility, bare runway designators — then
hands off to `normalizeRadioPhrase` for QNH/RWY/FL/freq. pm.vue calls
the normalizer before posting to /api/atc/say so the disk cache keys
the spoken form. Adds 4 test cases covering a full real-world EDDM
broadcast plus edge cases (cloud layers, negative temperatures, km/m
visibility).

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
This commit is contained in:
itsrubberduck
2026-05-28 09:09:12 +02:00
parent 8d4bfe9684
commit c165167d6b
4 changed files with 232 additions and 2 deletions

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@@ -986,7 +986,7 @@
import { ref, computed, onMounted, onUnmounted, watch, nextTick } from 'vue'
import { useRouter } from 'vue-router'
import useCommunicationsEngine from "../../shared/utils/communicationsEngine";
import { normalizeRadioPhrase, DEFAULT_AIRLINE_TELEPHONY } from '../../shared/utils/radioSpeech';
import { normalizeRadioPhrase, normalizeAtisForSpeech, DEFAULT_AIRLINE_TELEPHONY } from '../../shared/utils/radioSpeech';
import { useAuthStore } from '~/stores/auth'
import { useApi } from '~/composables/useApi'
import { loadPizzicatoLite } from '../../shared/utils/pizzicatoLite'
@@ -2707,13 +2707,14 @@ const startAtisLoop = async (entry: AirportFrequencyEntry) => {
}
const announcement = buildAtisAnnouncement({ ...entry, atisText: content })
const spokenAnnouncement = normalizeAtisForSpeech(announcement)
const epoch = resolveAtisEpoch(entry)
const requestSeq = ++atisLoopSeq
atisPlaybackLoading.value = true
try {
const response = await api.post('/api/atc/say', {
text: announcement,
text: spokenAnnouncement,
level: signalStrength.value,
voice: 'verse',
speed: 0.9,

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@@ -0,0 +1,61 @@
# ATIS-Phraseology Normalizer
## Problem
Mein ATIS-Loop sendet die rohe VATSIM-ATIS-Zeichenkette an TTS. Die TTS-Engine spricht Aviation-Abkürzungen wie `QNH`/`ILS` Buchstabe-für-Buchstabe aus und liest `WIND 030`, `TEMPERATURE 18`, `TIME 0620` wie englische Zahlwörter ("zero thirty", "eighteen", "six hundred twenty") statt ICAO-konform Ziffer-für-Ziffer ("zero three zero", "one eight", "zero six two zero").
Real-World VATSIM-ATIS (EDDM, 2026-05-28):
```
MUENCHEN INFORMATION A AUTOMATIC MET REPORT TIME 0620
RUNWAY 08L AND 08R RUNWAYS IN USE 08L AND 08R TRL 60
WIND 030 DEGREES 4 KNOTS VARIABLE BETWEEN 340 AND 060 DEGREES
CAVOK TEMPERATURE 18 DEW POINT 7 QNH 1024
TREND NOSIG MUENCHEN INFORMATION A OUT
```
## Lösung
Neue Funktion `normalizeAtisForSpeech(text)` in `shared/utils/radioSpeech.ts`, die ATIS-spezifische Regex-Transformationen auf bestehenden Helpers (`spellIcaoDigits`, `ICAO_LETTERS`, `METAR_CLOUD`) aufbaut. Output behält den ICAO-Phonetik-Stil (`wun zero too four`), der schon im Rest der App (`speakWithRadioEffects` mit `useNormalizedForTTS: true`) verwendet wird.
## Verworfene Alternativen
- **LLM (OpenAI) für die Normalisierung** — flexibler bei ungewöhnlichen Formaten, aber +500ms beim Cold-Cache, nondeterministisch, kostet pro unique ATIS. ICAO-Format ist standardisiert genug für Regeln.
- **Hybrid (Regel + LLM-Fallback)** — doppelte Komplexität ohne klaren Nutzen.
## Transformations-Regeln (in Reihenfolge anwenden — spezifisch → generisch)
| Eingabe | Ausgabe | Anmerkung |
|---|---|---|
| `INFORMATION A` | `INFORMATION Alfa` | NATO-Phonetic für Info-Letter |
| `TIME 0620` | `time zero six two zero` | 4-stellige Zulu-Zeit |
| `WIND 030 DEGREES` | `wind zero three zero degrees` | 3-stellige Windrichtung |
| `BETWEEN 340 AND 060 DEGREES` | `between three four zero and zero six zero degrees` | Wind-Variabilität |
| `4 KNOTS` / `15 KNOTS` | `four knots` / `one five knots` | Wind/Gust-Speed ziffernweise |
| `TEMPERATURE -5` | `temperature minus five` | Negative Temperaturen |
| `TEMPERATURE 18` | `temperature one eight` | Zweistellig ziffernweise |
| `DEW POINT 7` | `dew point seven` | Einstellig wortgenau |
| `TRL 60` / `TL 60` | `transition level six zero` | Transition-Level |
| `NOSIG` | `no significant change` | TREND-Code |
| `BKN030` | `broken three thousand` | Cloud-Layer, Höhe ×100 ft, ohne "feet" |
| `FEW005 CB` | `few five hundred cumulonimbus` | Cloud-Layer + Typ |
| `VIS 10 KM` | `visibility one zero kilometers` | Sicht in km |
| `VIS 5000 M` | `visibility five thousand meters` | Sicht in m |
| Bare `08L` / `08R` | `zero eight left` / `zero eight right` | Runway-Designator ohne `RUNWAY`-Prefix |
| Final: `normalizeRadioPhrase` über Ergebnis | — | Fängt `QNH 1024`, expliziter `RUNWAY 08L`, `FL250`, Frequenzen |
## Call-Site
In `pm.vue``startAtisLoop`, direkt vor dem TTS-Request:
```ts
const announcement = buildAtisAnnouncement({ ...entry, atisText: content })
const spoken = normalizeAtisForSpeech(announcement)
// then: text: spoken in api.post body
```
Der Disk-Cache in `say.post.ts` hasht den normalisierten Input — gleicher ATIS-Text → gleicher Cache-Key → unverändert effizient.
## Tests
Unit-Tests in `shared/utils/radioSpeech.test.ts` (falls vorhanden) mit den oben gelisteten Input/Output-Paaren als Fixtures.
## Out of Scope
- METAR-Wetter-Codes (`+TSRA`, `-FZRA`) — in VATSIM-ATIS meist ausgeschrieben
- Runway-Conditions (`WET`, `BRAKING ACTION POOR`) — wenn Feld auftaucht, erweitern
- Deutsche ATIS-Texte (selten in VATSIM)
- Spezielle Runway-Routing-Hinweise (`EXPECT VECTORS FOR INDEPENDENT PARALLEL ILS APPROACH`) — durchgereicht, TTS liest's leidlich

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@@ -363,6 +363,130 @@ export function normalizeMetarPhrase(metar: string): string {
return parts.join(', ');
}
/**
* Cloud-layer height words (no trailing "feet"): 30 → "tree thousand", 5 → "five hundred",
* 35 → "tree thousand five hundred". Input is the 3-digit METAR-cloud code interpreted
* as hundreds-of-feet.
*/
function cloudHeightWords(heightCodeHundreds: number): string {
const feet = heightCodeHundreds * 100;
const thousands = Math.floor(feet / 1000);
const hundreds = Math.round((feet % 1000) / 100) * 100;
const parts: string[] = [];
if (thousands) parts.push(`${spellIcaoDigits(String(thousands))} thousand`);
if (hundreds) parts.push(HUNDRED_WORDS[hundreds] ?? spellIcaoDigits(String(hundreds)));
return parts.join(' ').trim() || spellIcaoDigits(String(feet));
}
/**
* Normalize VATSIM-style expanded ATIS text into ICAO-radiotelephony spoken form.
* Applies ATIS-specific rules (info-letter phonetic, wind/temp/time digit-by-digit,
* cloud layers, transition-level, NOSIG expansion, bare runway designators) and
* then runs the general normalizeRadioPhrase to catch QNH/RWY/FL/freq.
*
* Designed for the VATSIM `text_atis` field which is already expanded English,
* not raw METAR code.
*/
export function normalizeAtisForSpeech(text: string): string {
if (!text) return text;
let out = text.replace(/\s+/g, ' ').trim();
// Run the general radio normalizer first so explicit "RUNWAY 08L", "QNH 1024",
// "FL250", "ft", "HDG", and frequencies get rewritten before our ATIS-specific
// rules touch raw digits. Otherwise our bare-runway regex would consume the digit
// pair before normalizeRadioPhrase's `RUNWAY \d{2}[LCR]?` rule could fire,
// leaving "RUNWAY" stuck in caps without lowercase normalization.
out = normalizeRadioPhrase(out, {
expandAirports: false,
expandCallsigns: false,
expandWaypoints: false,
});
// INFORMATION letter → phonetic alphabet
out = out.replace(/\binformation\s+([A-Z])\b/gi, (_match, l: string) => {
const phonetic = ICAO_LETTERS[l.toUpperCase()] ?? l;
return `Information ${phonetic}`;
});
// Time HHMM (TIME 0620, AT 0620Z)
out = out.replace(/\b(time|at)\s+(\d{4})z?\b/gi, (_m, prefix: string, t: string) =>
`${prefix.toLowerCase()} ${spellIcaoDigits(t)}`);
// Wind direction (3 digits, optionally followed by DEGREES)
out = out.replace(/\bwind\s+(\d{3})(?=\s+(?:degrees?\b|\d))/gi, (_m, d: string) =>
`wind ${spellIcaoDigits(d)}`);
// Wind variability ranges: "BETWEEN 340 AND 060 DEGREES"
out = out.replace(/\bbetween\s+(\d{3})\s+and\s+(\d{3})\s+degrees\b/gi,
(_m, a: string, b: string) =>
`between ${spellIcaoDigits(a)} and ${spellIcaoDigits(b)} degrees`);
// Wind/gust speed in knots (digit-by-digit per ICAO)
out = out.replace(/\b(\d{1,3})\s*(knots?|kt)\b/gi, (_m, n: string) =>
`${spellIcaoDigits(n)} knots`);
// Negative temperature: "TEMPERATURE -5" or "TEMPERATURE MINUS 5"
out = out.replace(/\btemperature\s+(?:-|minus\s+)(\d{1,3})\b/gi, (_m, n: string) =>
`temperature minus ${spellIcaoDigits(n)}`);
out = out.replace(/\bdew\s*point\s+(?:-|minus\s+)(\d{1,3})\b/gi, (_m, n: string) =>
`dew point minus ${spellIcaoDigits(n)}`);
// Positive temperature / dewpoint
out = out.replace(/\btemperature\s+(\d{1,3})\b/gi, (_m, n: string) =>
`temperature ${spellIcaoDigits(n)}`);
out = out.replace(/\bdew\s*point\s+(\d{1,3})\b/gi, (_m, n: string) =>
`dew point ${spellIcaoDigits(n)}`);
// Transition level: "TRL 60", "TL 60", "TRANSITION LEVEL 60"
out = out.replace(/\b(?:TRL|TL|TRANSITION\s+LEVEL)\s+(\d{2,3})\b/gi,
(_m, fl: string) => `transition level ${spellIcaoDigits(fl)}`);
// NOSIG expansion
out = out.replace(/\bNOSIG\b/g, 'no significant change');
// METAR-style cloud layers: BKN030, FEW005 CB, SCT025, OVC100 TCU
out = out.replace(/\b(FEW|SCT|BKN|OVC|NSC)(\d{3})(?:\s*(CB|TCU))?\b/gi,
(_m, cover: string, height: string, type?: string) => {
const coverWord = METAR_CLOUD[cover.toUpperCase()] ?? cover.toLowerCase();
const heightWords = cloudHeightWords(parseInt(height, 10));
const typeSuffix = type
? ` ${type.toUpperCase() === 'CB' ? 'cumulonimbus' : 'towering cumulus'}`
: '';
return `${coverWord} ${heightWords}${typeSuffix}`;
});
// Visibility in kilometers / meters
out = out.replace(/\b(?:VIS|VISIBILITY)\s+(\d+)\s*(KM|M)\b/gi,
(_m, val: string, unit: string) => {
const u = unit.toUpperCase();
if (u === 'KM') {
return `visibility ${spellIcaoDigits(val)} kilometers`;
}
// Meters: 5000 → "five thousand", 1500 → "one thousand five hundred"
const v = parseInt(val, 10);
if (Number.isFinite(v) && v >= 1000 && v % 100 === 0) {
const thousands = Math.floor(v / 1000);
const hundreds = Math.round((v % 1000) / 100) * 100;
const parts: string[] = [];
if (thousands) parts.push(`${spellIcaoDigits(String(thousands))} thousand`);
if (hundreds) parts.push(HUNDRED_WORDS[hundreds] ?? spellIcaoDigits(String(hundreds)));
return `visibility ${parts.join(' ')} meters`;
}
return `visibility ${spellIcaoDigits(val)} meters`;
});
// Bare runway designators (without "RUNWAY" prefix), e.g. "AND 08R", "USE 08L".
// Excludes patterns preceded by "flight level" or "FL " (already normalized).
out = out.replace(/(?<!flight\s+level\s+|FL\s*)\b(\d{2})([LCR])\b/gi,
(_m, digits: string, side: string) => {
const sideWord = side.toUpperCase() === 'L' ? 'left'
: side.toUpperCase() === 'R' ? 'right' : 'center';
return `${spellIcaoDigits(digits)} ${sideWord}`;
});
return out.replace(/\s+/g, ' ').trim();
}
export function normalizeRadioPhrase(text: string, options: NormalizeRadioOptions = {}): string {
const opts = { ...DEFAULT_OPTIONS, ...options };
let out = text;

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@@ -2,6 +2,7 @@ import { describe, it } from 'node:test'
import assert from 'node:assert/strict'
import {
normalizeAtisForSpeech,
normalizeMetarPhrase,
normalizeRadioPhrase,
spellIcaoDigits,
@@ -38,4 +39,47 @@ describe('radioSpeech', () => {
assert.match(metar, /gusting too fife knots/)
assert.match(metar, /QNH wun zero wun tree/)
})
it('normalizes a full VATSIM ATIS into ICAO phraseology', () => {
const eddmAtis = `MUENCHEN INFORMATION A AUTOMATIC MET REPORT TIME 0620 EXPECT VECTORS FOR INDEPENDENT PARALLEL ILS APPROACH RUNWAY 08L AND 08R RUNWAYS IN USE 08L AND 08R TRL 60 WIND 030 DEGREES 4 KNOTS VARIABLE BETWEEN 340 AND 060 DEGREES CAVOK TEMPERATURE 18 DEW POINT 7 QNH 1024 TREND NOSIG MUENCHEN INFORMATION A OUT`
const spoken = normalizeAtisForSpeech(eddmAtis)
assert.match(spoken, /Information Alfa/)
assert.match(spoken, /time zero six too zero/)
assert.match(spoken, /wind zero tree zero/)
assert.match(spoken, /four knots/)
assert.match(spoken, /between tree four zero and zero six zero degrees/)
assert.match(spoken, /runway zero eight left/)
assert.match(spoken, /zero eight right/)
assert.match(spoken, /transition level six zero/)
assert.match(spoken, /temperature wun eight/)
assert.match(spoken, /dew point seven/)
assert.match(spoken, /QNH wun zero too four/)
assert.match(spoken, /no significant change/)
assert.doesNotMatch(spoken, /\bNOSIG\b/)
assert.doesNotMatch(spoken, /\bTRL 60\b/)
assert.doesNotMatch(spoken, /TEMPERATURE 18/)
})
it('normalizes ATIS cloud layers', () => {
const out = normalizeAtisForSpeech('BKN030 SCT025 FEW005 CB OVC100')
assert.match(out, /broken tree thousand/)
assert.match(out, /scattered too thousand five hundred/)
assert.match(out, /few five hundred cumulonimbus/)
assert.match(out, /overcast wun zero thousand/)
})
it('normalizes negative temperatures and low QNH', () => {
const out = normalizeAtisForSpeech('TEMPERATURE -5 DEW POINT -12 QNH 0995')
assert.match(out, /temperature minus fife/)
assert.match(out, /dew point minus wun too/)
assert.match(out, /QNH zero niner niner fife/)
})
it('normalizes visibility in km and meters', () => {
const out = normalizeAtisForSpeech('VIS 10 KM VIS 5000 M VISIBILITY 1500 M')
assert.match(out, /visibility wun zero kilometers/)
assert.match(out, /fife thousand meters/)
assert.match(out, /wun thousand five hundred meters/)
})
})