fixed tts format, added trigger words settings

bridge/aria_bridge.py

@@ -72,7 +72,7 @@ BLOCK_SIZE = 1280  # 80ms bei 16kHz — gut fuer Wake-Word-Erkennung
 RECORD_SECONDS = 8  # Max. Aufnahmedauer nach Wake-Word
 
 # Epische Trigger — bei diesen Woertern spricht Thorsten
-EPIC_TRIGGERS = [
+EPIC_TRIGGERS_DEFAULT = [
     "deploy",
     "erfolgreich",
     "alarm",
@@ -84,6 +84,24 @@ EPIC_TRIGGERS = [
     "aufgabe abgeschlossen",
 ]
 
+# Trigger aus Shared-Config laden (von Diagnostic gespeichert)
+TRIGGERS_FILE = "/shared/config/highlight_triggers.json"
+
+def load_epic_triggers():
+    """Laedt Highlight-Trigger aus Shared-Config oder nutzt Defaults."""
+    try:
+        if os.path.exists(TRIGGERS_FILE):
+            with open(TRIGGERS_FILE) as f:
+                triggers = json.load(f)
+            if isinstance(triggers, list) and len(triggers) > 0:
+                logger.info("Highlight-Trigger geladen: %d aus %s", len(triggers), TRIGGERS_FILE)
+                return triggers
+    except Exception as e:
+        logger.warning("Highlight-Trigger laden fehlgeschlagen: %s — nutze Defaults", e)
+    return EPIC_TRIGGERS_DEFAULT
+
+EPIC_TRIGGERS = load_epic_triggers()
+
 
 def load_config() -> dict[str, str]:
     """Laedt Konfiguration aus /config/aria.env."""
@@ -184,10 +202,7 @@ class VoiceEngine:
                 tmp_path = tmp.name
 
             with wave.open(tmp_path, "wb") as wav_file:
-                wav_file.setnchannels(1)
-                wav_file.setsampwidth(2)  # 16-bit
-                wav_file.setframerate(voice.config.sample_rate)
-                voice.synthesize(text, wav_file)
+                voice.synthesize_wav(text, wav_file)
 
             audio_data = Path(tmp_path).read_bytes()
             Path(tmp_path).unlink(missing_ok=True)