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- Logistik: Musik-Player Playlist-Modus (5 Gruppen, 20 Tracks) - Heli: End-Screen auf .ggs-endscreen, Mission-Bilder, Voice-Lines, Briefing-Audio - Logistik: Layout-Tausch Auftraege+Fahrzeuge links, Karte rechts - Logistik: Tier-1-Staedte ausgebaut, Auto-Timescale-Badge - Logistik: Roadnet/Railnet Dijkstra-Routing, Balance-Updates - Atlas: 5 Atlas-Inbox-Nachrichten (Cards-Pattern, DALL-E-Key, Musik-Playlists) - Status-Updates Heli + Logistik Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
98 lines
3.0 KiB
Bash
98 lines
3.0 KiB
Bash
#!/usr/bin/env bash
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# Generisches Audio-Batch-Script via OpenAI TTS.
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# Nimmt JSON-Textbuch mit Struktur:
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# { "lines": [ {"id": "...", "text": "..."} ] }
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# und generiert MP3s in sounds/radio/<id>.mp3
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#
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# Voraussetzung: OPENAI_API_KEY (aus App/.env.local)
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#
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# Aufruf:
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# set -a; source App/.env.local; set +a
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# App/sims/heli/scripts/generate-audio-openai.sh tower-geo-lines.json
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# App/sims/heli/scripts/generate-audio-openai.sh tower-start-lines.json
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# FORCE=1 … überschreibt bestehende
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# OPENAI_VOICE=shimmer … andere Stimme
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set -e
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: "${OPENAI_API_KEY:?OPENAI_API_KEY muss gesetzt sein}"
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VOICE="${OPENAI_VOICE:-nova}"
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MODEL="${OPENAI_MODEL:-gpt-4o-mini-tts}"
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# Stil-Instruktion nur bei gpt-4o-mini-tts wirksam. Warmherzige Fluglotsin,
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# ruhig, klare deutsche Aussprache, als ob sie Schuelerinnen begleitet.
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INSTRUCTIONS="${OPENAI_TTS_INSTRUCTIONS:-Speak warmly and patiently like an encouraging female flight controller guiding a young student co-pilot. Unhurried, clear, friendly German pronunciation. Gentle reassuring tone, never robotic.}"
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SCRIPT_DIR="$(cd "$(dirname "$0")" && pwd)"
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OUT_DIR="$SCRIPT_DIR/../sounds/radio"
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mkdir -p "$OUT_DIR"
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JSON_INPUT="$1"
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if [ -z "$JSON_INPUT" ]; then
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echo "Usage: $0 <json-file>"
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exit 2
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fi
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JSON_FILE="$SCRIPT_DIR/$JSON_INPUT"
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if [ ! -f "$JSON_FILE" ]; then
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echo "Datei nicht gefunden: $JSON_FILE"; exit 2
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fi
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echo "Modell: $MODEL · Stimme: $VOICE"
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echo "Quelle: $JSON_INPUT"
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echo
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generate() {
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local id="$1"
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local text="$2"
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local out="$OUT_DIR/${id}.mp3"
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if [ -f "$out" ] && [ -z "$FORCE" ]; then
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echo "ok ${id}.mp3 schon da"
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return 0
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fi
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echo "gen ${id}"
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local payload
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payload=$(TEXT="$text" MODEL="$MODEL" VOICE="$VOICE" INSTR="$INSTRUCTIONS" python -c '
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import json, os
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body = {
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"model": os.environ["MODEL"],
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"voice": os.environ["VOICE"],
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"input": os.environ["TEXT"],
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"response_format": "mp3"
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}
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# instructions nur bei gpt-4o-mini-tts unterstuetzt
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if "mini-tts" in os.environ["MODEL"]:
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body["instructions"] = os.environ["INSTR"]
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print(json.dumps(body, ensure_ascii=False))')
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local http
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http=$(curl -sS -w "%{http_code}" -o "$out" \
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-X POST https://api.openai.com/v1/audio/speech \
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-H "Authorization: Bearer $OPENAI_API_KEY" \
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-H "Content-Type: application/json; charset=utf-8" \
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-d "$payload")
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if [ "$http" != "200" ]; then
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echo "FEHLER ${id}: HTTP $http"
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cat "$out"; echo; rm -f "$out"
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return 1
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fi
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local size; size=$(wc -c <"$out")
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if [ "$size" -lt 1500 ]; then
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echo "FEHLER ${id}: Datei zu klein ($size B)"
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cat "$out"; rm -f "$out"
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return 1
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fi
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echo "ok ${id}.mp3 (${size} B)"
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sleep 0.2
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}
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ok=0; fail=0
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while IFS=$'\t' read -r id text; do
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[ -z "$id" ] && continue
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if generate "$id" "$text"; then ok=$((ok+1)); else fail=$((fail+1)); fi
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done < <(python -c "
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import json, sys
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d = json.load(sys.stdin)
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for line in d['lines']: print(line['id'] + '\t' + line['text'])
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" < "$JSON_FILE")
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echo
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echo "Zusammenfassung: ok=$ok, fail=$fail"
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ls -1 "$OUT_DIR"/*.mp3 2>/dev/null | wc -l | xargs printf "Dateien im Ordner: %s\n"
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