mirror of
https://github.com/OpenSquawk/OpenSquawk
synced 2026-08-04 16:22:48 +08:00
Fix remaining German comment
This commit is contained in:
@@ -1,6 +1,6 @@
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/* === iOS-Style Glassmorphism Add-on === */
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:root {
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/* feinere Glas-Parameter */
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/* refined glass parameters */
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--glass-bg: color-mix(in srgb, var(--text) 7%, transparent);
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--glass-border: color-mix(in srgb, var(--text) 16%, transparent);
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--glass-highlight: rgba(255, 255, 255, .10);
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@@ -11,7 +11,7 @@
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--glass-noise: url("data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' width='140' height='140' viewBox='0 0 140 140'%3E%3Cfilter id='n'%3E%3CfeTurbulence type='fractalNoise' baseFrequency='.9' numOctaves='2' stitchTiles='stitch'/%3E%3CfeColorMatrix type='saturate' values='0'/%3E%3CfeComponentTransfer%3E%3CfeFuncA type='table' tableValues='0 0 .03 0'/%3E%3C/feComponentTransfer%3E%3C/filter%3E%3Crect width='100%25' height='100%25' filter='url(%23n)'/%3E%3C/svg%3E");
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}
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/* generische Glasfläche */
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/* generic glass surface */
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.glass,
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.panel,
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.card,
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@@ -33,7 +33,7 @@
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-webkit-backdrop-filter: blur(var(--glass-blur)) saturate(var(--glass-sat));
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}
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/* App Bar (transluzent, sticky) */
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/* App bar (translucent, sticky) */
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.hud {
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background: linear-gradient(180deg,
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color-mix(in srgb, var(--bg) 55%, transparent),
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@@ -43,12 +43,12 @@
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border-radius: 0 0 14px 14px;
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}
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/* Panels etwas luftiger */
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/* Panels with extra breathing room */
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.panel {
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padding: 14px;
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}
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/* Buttons – iOS-Glanz & Lift */
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/* Buttons – iOS shine and lift */
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.btn {
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border-radius: calc(var(--glass-radius) - 6px);
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transition: transform .15s ease, box-shadow .15s ease, background .2s ease;
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@@ -92,7 +92,7 @@
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}
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/* Chips – feiner Rand, leicht leuchtend */
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/* Chips – subtle border, gentle glow */
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.chip {
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background: linear-gradient(180deg,
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color-mix(in srgb, var(--text) 7%, transparent),
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@@ -100,7 +100,7 @@
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box-shadow: inset 0 1px 0 rgba(255, 255, 255, .08);
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}
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/* Karten/Kacheln – zarter Hover */
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/* Cards/tiles – subtle hover */
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.card, .tile, .lesson {
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transition: transform .18s ease, box-shadow .18s ease, border-color .18s ease;
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}
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@@ -110,7 +110,7 @@
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border-color: color-mix(in srgb, var(--accent) 28%, transparent);
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}
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/* Fortschrittsbalken – Glasfüllung */
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/* Progress bar – glass fill */
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.line {
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background: linear-gradient(180deg,
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color-mix(in srgb, var(--text) 8%, transparent),
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@@ -125,7 +125,7 @@
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filter: saturate(130%);
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}
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/* Textareas / Inputs im Glas */
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/* Textareas / inputs in glass */
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.input :deep(textarea),
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:deep(.v-field__input) {
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background: linear-gradient(180deg,
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@@ -141,14 +141,14 @@
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display: none;
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}
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/* Dialog runder + stärkerer Blur */
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/* Dialog – rounder with stronger blur */
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.dialog {
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border-radius: 22px;
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backdrop-filter: blur(22px) saturate(150%);
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-webkit-backdrop-filter: blur(22px) saturate(150%);
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}
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/* iOS-Range (Slider) – Track & Thumb */
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/* iOS-style range (slider) – track & thumb */
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.chip.inline input[type="range"] {
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height: 24px;
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-webkit-appearance: none;
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@@ -194,7 +194,7 @@
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box-shadow: 0 2px 6px rgba(0, 0, 0, .35), inset 0 1px 0 rgba(255, 255, 255, .85);
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}
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/* Snackbar – glasiger Toast */
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/* Snackbar – glassy toast */
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:deep(.v-snackbar) {
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border: 1px solid var(--glass-border);
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backdrop-filter: blur(16px) saturate(140%);
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@@ -204,14 +204,14 @@
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color-mix(in srgb, var(--bg2) 60%, transparent));
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}
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/* Fokus-Ring – iOS-Style */
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/* Focus ring – iOS style */
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*:focus-visible {
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outline: 2px solid color-mix(in srgb, var(--accent) 60%, transparent);
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outline-offset: 2px;
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border-radius: 12px;
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}
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/* Weniger Transparenz, falls gewünscht */
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/* Reduced transparency if requested */
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@media (prefers-reduced-transparency: reduce) {
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.glass,
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.panel,
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@@ -2011,7 +2011,7 @@ const swapFrequencies = () => {
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}
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const formatTime = (date: Date): string => {
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return date.toLocaleTimeString('de-DE', {
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return date.toLocaleTimeString('en-US', {
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hour12: false,
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hour: '2-digit',
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minute: '2-digit',
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@@ -77,11 +77,11 @@ function decodeAudioPayload(encoded: string): Buffer {
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return buffer;
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}
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// Audio zu WAV konvertieren für bessere Whisper-Kompatibilität
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// Convert audio to WAV for better Whisper compatibility
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async function convertToWav(inputPath: string, outputPath: string) {
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await sh("ffmpeg", [
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"-y", "-i", inputPath,
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"-ar", "16000", // 16kHz für Whisper
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"-ar", "16000", // 16 kHz for Whisper
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"-ac", "1", // Mono
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"-f", "wav",
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outputPath
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@@ -104,11 +104,11 @@ export default defineEventHandler(async (event) => {
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const tmpAudioWav = join(tmpdir(), `ptt-wav-${id}.wav`);
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try {
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// 1. Audio aus Base64 dekodieren und speichern
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// 1. Decode audio from base64 and save
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const audioBuffer = decodeAudioPayload(body.audio);
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await writeFile(tmpAudioInput, audioBuffer);
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// 2. Zu WAV konvertieren falls nötig (nur wenn FFmpeg verfügbar)
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// 2. Convert to WAV if needed (only when FFmpeg is available)
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let audioFileForWhisper = tmpAudioInput;
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if (format !== 'wav') {
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try {
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@@ -119,7 +119,7 @@ export default defineEventHandler(async (event) => {
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}
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}
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// 3. OpenAI Whisper für Transkription
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// 3. OpenAI Whisper for transcription
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const openai = getOpenAIClient();
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const transcription = await openai.audio.transcriptions.create({
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file: createReadStream(audioFileForWhisper),
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@@ -143,7 +143,7 @@ export default defineEventHandler(async (event) => {
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let decision: PTTResponse['decision'];
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if (shouldAutoDecide) {
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// 4. Direkt LLM Decision aufrufen mit transkribiertem Text
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// 4. Call the LLM decision directly with the transcribed text
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const decisionInput = {
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...body.context,
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pilot_utterance: transcribedText
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@@ -191,7 +191,7 @@ export default defineEventHandler(async (event) => {
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return result;
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} catch (error: any) {
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// Cleanup bei Fehler
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// Cleanup on error
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await rm(tmpAudioInput).catch(() => {});
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await rm(tmpAudioWav).catch(() => {});
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@@ -161,7 +161,7 @@ export default defineEventHandler(async (event) => {
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let actualMime = mime;
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if (useSpeaches) {
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// Speaches (bevorzugt klein: MP3, alternativ FLAC/WAV/PCM)
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// Speaches (prefer compact: MP3, otherwise FLAC/WAV/PCM)
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const baseUrl = runtimeConfig.speachesBaseUrl || "";
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const model = runtimeConfig.speechModelId || "speaches-ai/piper-en_US-ryan-low";
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if (!baseUrl) {
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@@ -169,16 +169,16 @@ export default defineEventHandler(async (event) => {
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}
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audioBuffer = await speachesTTS(normalized, voice, model, fmt, baseUrl);
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modelUsed = model;
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// Server liefert korrektes Format gemäß response_format
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// Server returns the correct format according to response_format
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actualMime = fmtToMime(fmt);
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} else if (usePiper) {
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// Lokaler Piper
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// Local Piper
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audioBuffer = await piperTTS(normalized, voice, runtimeConfig.piperPort);
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modelUsed = "piper-local";
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// Piper liefert WAV
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// Piper returns WAV
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actualMime = "audio/wav";
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} else {
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// OpenAI (Fallback)
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// OpenAI (fallback)
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const tts = await normalize.audio.speech.create({
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model: TTS_MODEL,
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voice,
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@@ -191,7 +191,7 @@ export default defineEventHandler(async (event) => {
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actualMime = "audio/wav";
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}
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// Optional speichern
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// Optional persistence
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// await ensureDir(baseDir);
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// await writeFile(fileOut, audioBuffer);
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const meta = {
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@@ -16,10 +16,10 @@ export const LLM_MODEL = llmModel;
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export const TTS_MODEL = ttsModel;
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/* =========================
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LLM PROMPTS (überarbeitet)
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LLM PROMPTS (refined)
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=========================
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Ziel: LLM liefert kompakte, maschinenfreundliche ICAO-Zeile, die unser Normalizer→TTS perfekt erweitert.
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WICHTIG: Zahlen/Marker exakt im unten definierten Output-Format, keine ausgeschriebenen Wörter.
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Goal: the LLM returns a compact, machine-friendly ICAO line that our normalizer → TTS can expand perfectly.
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IMPORTANT: Use the exact output format defined below; do not spell out numbers.
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*/
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export const ATC_OUTPUT_SPEC = `
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@@ -43,9 +43,9 @@ OUTPUT RULES (STRICT):
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- Use standard order for the phase (e.g., taxi: destination RWY first, then route, then hold short).
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`.trim();
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/** System-Prompt: legt Rolle/Regeln fest */
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/** System prompt: defines the role and rules */
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export function atcSystemPrompt(opts?: {
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regionHint?: "EUR" | "US" | "INTL"; // nur als Soft-Hinweis, default INTL
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regionHint?: "EUR" | "US" | "INTL"; // soft hint only, defaults to INTL
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}) {
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const region = opts?.regionHint ?? "INTL";
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return [
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@@ -56,7 +56,7 @@ export function atcSystemPrompt(opts?: {
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].join("\n\n");
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}
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/** Seed-ATC ohne Pilot-Input (rückwärtskompatible Signatur, aber reicherer Prompt) */
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/** Seed ATC without pilot input (backward-compatible signature, but richer prompt) */
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export function atcSeedPrompt(s: {
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airport: string; // e.g., "EDDF"
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aircraft: string; // e.g., "A320"
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@@ -66,11 +66,11 @@ export function atcSeedPrompt(s: {
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sid?: string; // e.g., "MARUN 7F"
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squawk?: string; // "4723"
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freq?: string; // "121.800"
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runway?: string; // "25R" (optional: falls bekannt)
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runway?: string; // "25R" (optional if known)
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phase?: "clearance" | "taxi" | "lineup" | "departure" | "handoff" | "approach" | "landing";
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notes?: string; // z.B. "TWY N closed between N2–N4"
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notes?: string; // e.g. "TWY N closed between N2–N4"
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}) {
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// Default-Phase: clearance
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// Default phase: clearance
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const phase = s.phase || "clearance";
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const ctx = [
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`Airport ${s.airport}`,
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@@ -106,12 +106,12 @@ export function atcSeedPrompt(s: {
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].join("\n");
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}
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/** Pilot→ATC (rückwärtskompatibler Name, aber mit robustem Rahmen) */
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/** Pilot → ATC (same legacy name, but with a sturdier framework) */
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export function atcReplyPrompt(userText: string, state?: {
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airport?: string; runway?: string; sid?: string; dep?: string;
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lastSquawk?: string; lastFreq?: string; lastQNH?: string;
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phase?: "clearance" | "taxi" | "lineup" | "departure" | "handoff" | "approach" | "landing";
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constraints?: string; // z.B. "TWY N closed", "no intersection deps on 25C"
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constraints?: string; // e.g. "TWY N closed", "no intersection deps on 25C"
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}) {
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const ctx = [
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state?.airport ? `Airport ${state.airport}` : null,
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@@ -137,10 +137,10 @@ export function atcReplyPrompt(userText: string, state?: {
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}
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/* =========================
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Normalizer → TTS (wie zuvor)
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Normalizer → TTS (unchanged)
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========================= */
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// Airline-Telephony (erweiterbar)
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// Airline telephony (extensible)
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export const CALLSIGN_MAP: Record<string,string> = {
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DLH: "Lufthansa",
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EWG: "Eurowings",
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@@ -185,16 +185,16 @@ export async function speakATC(text: string, filePath = "atc.mp3") {
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}
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/* =========================
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Beispiele
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Examples
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=========================
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— Seed (Clearance):
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— Seed (clearance):
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const sys = atcSystemPrompt();
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const usr = atcSeedPrompt({
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airport: "EDDF", aircraft: "A320", type: "IFR", stand: "V155",
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dep: "EHAM", sid: "MARUN 7F", runway: "25R", freq: "121.800"
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});
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// → LLM antwortet z.B.:
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// → The LLM might respond:
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// "DLH359, cleared to EHAM via MARUN 7F, initial 5000 ft, squawk 4723. QNH 1013."
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— Taxi:
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@@ -205,12 +205,12 @@ const usrTaxi = atcSeedPrompt({
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});
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// → "DLH359, taxi to RWY 25R via A3 A N2, hold short."
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— Pilot→ATC:
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— Pilot → ATC:
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const usrReply = atcReplyPrompt(
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"DLH359 ready for departure RWY 25R",
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{ airport: "EDDF", runway: "25R", phase: "lineup", lastFreq: "121.800" }
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);
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// → "DLH359, line up and wait RWY 25R."
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Nach dem LLM-Output: `speakATC(llmText)` ruft Normalizer→TTS.
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After receiving the LLM output, call `speakATC(llmText)` to trigger normalizer → TTS.
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*/
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@@ -97,7 +97,7 @@ export async function sendMail(options: MailOptions) {
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const success = await sendViaSmtp(payload)
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if (!success) {
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console.info(`[mail:fallback] ${options.subject}\nEmpfänger: ${options.to}\n${options.text}`)
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console.info(`[mail:fallback] ${options.subject}\nRecipient: ${options.to}\n${options.text}`)
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}
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return success
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}
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@@ -169,7 +169,7 @@ export async function sendAdminNotification(notification: string | AdminNotifica
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const success = await sendMail(mailOptions)
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if (!success) {
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console.info(`[notify:fallback] ${mailOptions.subject}\nEmpfänger: ${to}\n${mailOptions.text}`)
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console.info(`[notify:fallback] ${mailOptions.subject}\nRecipient: ${to}\n${mailOptions.text}`)
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}
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return success
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}
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@@ -10,7 +10,7 @@ function ensureOpenAI(): OpenAI {
|
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if (!openaiClient) {
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const { openaiKey, openaiProject, llmModel } = getServerRuntimeConfig()
|
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if (!openaiKey) {
|
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throw new Error('OPENAI_API_KEY fehlt. Bitte den Schlüssel setzen, bevor KI-Funktionen genutzt werden.')
|
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throw new Error('OPENAI_API_KEY is missing. Please set the key before using AI features.')
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}
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const clientOptions: ConstructorParameters<typeof OpenAI>[0] = { apiKey: openaiKey }
|
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if (openaiProject) {
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@@ -246,9 +246,9 @@ function extractTemplateVariables(text?: string): string[] {
|
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return matches.map(match => match.slice(1, -1)) // Remove { }
|
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}
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// Optimierte aber ausreichende Eingabe für gute Entscheidungen
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// Optimized yet sufficient input for reliable decisions
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function optimizeInputForLLM(input: LLMDecisionInput) {
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// Sammle alle verfügbaren Variablen aus dem Decision Tree
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// Collect all available variables from the decision tree
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const availableVariables = [
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'callsign', 'dest', 'dep', 'runway', 'squawk', 'sid', 'transition',
|
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'initial_altitude_ft', 'climb_altitude_ft', 'cruise_flight_level',
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@@ -308,7 +308,7 @@ function optimizeInputForLLM(input: LLMDecisionInput) {
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current_role: input.state.role,
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state_summary: stateSummary,
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candidates: candidates,
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available_variables: availableVariables, // Alle verfügbaren Variablen
|
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available_variables: availableVariables, // All available variables
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candidate_variables: Array.from(candidateVars), // Variablen die Candidates verwenden
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pilot_utterance: input.pilot_utterance,
|
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decision_hints: {
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@@ -318,7 +318,7 @@ function optimizeInputForLLM(input: LLMDecisionInput) {
|
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has_interrupt_candidate: input.candidates.some(c => c.id.startsWith('INT_')),
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readback_check_state: Boolean(readbackKeys.length)
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},
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// Nur aktueller Context ohne Werte (für Token-Sparen)
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// Current context only without values (to save tokens)
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context: {
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callsign: input.variables.callsign,
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current_unit: input.flags.current_unit,
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@@ -459,7 +459,7 @@ export async function routeDecision(input: LLMDecisionInput): Promise<LLMDecisio
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||||
}
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||||
}
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||||
|
||||
// Sofortige Erkennung ohne LLM für häufige Cases
|
||||
// Instant detection without the LLM for common cases
|
||||
if (pilotText.includes('radio check') || pilotText.includes('signal test') ||
|
||||
(pilotText.includes('read') && (pilotText.includes('check') || pilotText.includes('you')))) {
|
||||
return finalize({
|
||||
@@ -479,17 +479,17 @@ export async function routeDecision(input: LLMDecisionInput): Promise<LLMDecisio
|
||||
|
||||
const optimizedInput = optimizeInputForLLM(input)
|
||||
|
||||
// Prüfe ob nächste States ATC-Responses brauchen
|
||||
// Check whether the next states require ATC responses
|
||||
const atcCandidates = input.candidates.filter(c =>
|
||||
c.state.role === 'atc' || c.state.say_tpl || c.id.startsWith('INT_')
|
||||
)
|
||||
|
||||
// Wenn keine ATC-States verfügbar, einfache Transition ohne Response
|
||||
// If no ATC states are available, perform a simple transition without a response
|
||||
if (atcCandidates.length === 0 && input.candidates.length > 0) {
|
||||
return finalize({ next_state: input.candidates[0].id })
|
||||
}
|
||||
|
||||
// Kompakter aber informativer Prompt - mit Variable-Info für intelligente Responses
|
||||
// Compact yet informative prompt — includes variable info for intelligent responses
|
||||
const system = [
|
||||
'You are an ATC state router. Return strict JSON.',
|
||||
'Keys: next_state, controller_say_tpl (optional), off_schema (optional), intent (optional).',
|
||||
@@ -593,7 +593,7 @@ export async function routeDecision(input: LLMDecisionInput): Promise<LLMDecisio
|
||||
})
|
||||
}
|
||||
|
||||
// Pilot readback oder acknowledgment → keine ATC response nötig
|
||||
// Pilot readback or acknowledgment → no ATC response required
|
||||
if (pilotText.includes('wilco') || pilotText.includes('roger') ||
|
||||
pilotText.includes('cleared') || pilotText.includes('copied')) {
|
||||
fallbackInfo.selected = 'acknowledge'
|
||||
|
||||
@@ -58,7 +58,7 @@ export function getServerRuntimeConfig(): ServerRuntimeConfig {
|
||||
|
||||
const openaiKey = String(runtimeConfig.openaiKey || '').trim()
|
||||
if (!openaiKey && !warnedMissingOpenAIKey) {
|
||||
console.warn('[OpenSquawk] OPENAI_API_KEY fehlt. Einige KI-Funktionen stehen ohne Schlüssel nicht zur Verfügung.')
|
||||
console.warn('[OpenSquawk] OPENAI_API_KEY is missing. Some AI features are unavailable without a key.')
|
||||
warnedMissingOpenAIKey = true
|
||||
}
|
||||
|
||||
|
||||
@@ -12,16 +12,16 @@ export interface PasswordValidationResult {
|
||||
export function validatePasswordStrength(password: string): PasswordValidationResult {
|
||||
const trimmed = password.trim()
|
||||
if (trimmed.length < 10) {
|
||||
return { valid: false, message: 'Passwort muss mindestens 10 Zeichen lang sein.' }
|
||||
return { valid: false, message: 'Password must be at least 10 characters long.' }
|
||||
}
|
||||
if (/\s/.test(trimmed)) {
|
||||
return { valid: false, message: 'Passwort darf keine Leerzeichen enthalten.' }
|
||||
return { valid: false, message: 'Password cannot contain spaces.' }
|
||||
}
|
||||
if (!/[A-Za-zÄÖÜäöüß]/.test(trimmed) || !/[0-9]/.test(trimmed)) {
|
||||
return { valid: false, message: 'Bitte Buchstaben und Zahlen kombinieren.' }
|
||||
return { valid: false, message: 'Please use both letters and numbers.' }
|
||||
}
|
||||
if (!/[!@#$%^&*()_+\-=[\]{};':"\\|,.<>/?]/.test(trimmed)) {
|
||||
return { valid: false, message: 'Mindestens ein Sonderzeichen erhöht die Sicherheit.' }
|
||||
return { valid: false, message: 'Include at least one special character for better security.' }
|
||||
}
|
||||
return { valid: true }
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user