dschlueter
be5206c7ed
Sprache ist immer fest. Entfernt: language_mode aus Route/Schema/Config/
Runtime-Config, die Flex-Verzweigung in Orchestrator (effective_language =
language) und ws.py (immer normales transcribe), die "🔄 Flex"-Option im
Frontend samt zugehöriger app.js-Logik (langOverrides, loadMe, Turn-Sprache).
Die generische STT-Methode transcribe_detect bleibt als wiederverwendbare
Infrastruktur erhalten (nicht mehr aufgerufen). Test: Route trägt kein
language_mode mehr. 215 passed.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
98 lines
4 KiB
Python
98 lines
4 KiB
Python
"""Laufzeit-Konfigurationsüberschreibungen aus der Datenbank.
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Einzelne Settings-Felder können zur Laufzeit via Admin-UI geändert werden,
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ohne den Server neu zu starten. Die Werte liegen in der Tabelle
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`config_overrides` und werden mit 30s TTL gecacht.
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Nur Felder aus RUNTIME_SETTABLE sind überschreibbar — alle anderen
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kommen weiterhin aus .env / TOML / pydantic-settings.
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"""
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import threading
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import time
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from typing import Any
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from app.config import Settings, settings as _base
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# (label, type_str, hint)
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RUNTIME_SETTABLE: dict[str, tuple[str, str, str]] = {
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"default_stt_provider": ("STT-Provider (Standard)", "str", "openrouter | faster-whisper"),
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"default_llm_provider": ("LLM-Provider (Standard)", "str", "openrouter | local-openai-compatible"),
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"default_tts_provider": ("TTS-Provider (Standard)", "str", "openrouter | piper | chatterbox — Standard, pro Nutzer überschreibbar"),
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"default_language": ("Sprache (Standard)", "str", "de | en | … — Standard, pro Nutzer überschreibbar"),
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"openrouter_llm_model": ("LLM-Modell (OpenRouter)", "str", "z.B. google/gemini-3.1-flash-lite"),
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"openrouter_tts_model": ("TTS-Modell (OpenRouter)", "str", "z.B. google/gemini-3.1-flash-tts-preview"),
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"openrouter_tts_voice": ("TTS-Stimme (OpenRouter)", "str", "z.B. Zephyr, Puck, Kore"),
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"piper_voice": ("TTS-Stimme (piper)", "str", "z.B. de_DE-thorsten-high"),
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"local_llm_system_prompt": ("Systemprompt (lokal)", "str", "Freier Text"),
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"local_llm_temperature": ("Temperatur (lokal)", "float", "0.0–2.0 — wirkt sofort (kein Neustart)"),
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"local_llm_top_p": ("Top-p (lokal)", "float", "0.0–1.0 — wirkt sofort (kein Neustart)"),
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"local_llm_max_tokens": ("Max. Tokens (lokal)", "int", "0 = kein Limit"),
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"tts_normalize_level": ("TTS-Normalisierung", "str", "auto | full | light | off"),
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"audio_stream_default": ("Audio-Streaming Standard", "bool", "true | false"),
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"memory_extraction_enabled": ("Erinnerungs-Extraktion", "bool", "true | false"),
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"memory_extraction_every_n_turns": ("Extraktion alle N Turns", "int", "z.B. 3"),
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"daily_request_limit": ("Tageskontingent (global)", "int", "0 = unbegrenzt"),
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}
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_TTL = 30.0
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_cache: dict[str, str] = {}
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_cache_time: float = 0.0
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_lock = threading.Lock()
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def _coerce(key: str, raw: str) -> Any:
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_, type_str, _ = RUNTIME_SETTABLE[key]
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try:
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if type_str == "bool":
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return raw.strip().lower() in ("1", "true", "yes")
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if type_str == "int":
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return int(raw)
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if type_str == "float":
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return float(raw)
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except (ValueError, AttributeError):
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pass
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return raw
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def _get_cache() -> dict[str, str]:
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global _cache, _cache_time
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now = time.monotonic()
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with _lock:
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if now - _cache_time < _TTL:
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return _cache
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try:
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from app.dependencies import get_store
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_cache = get_store().get_config_overrides()
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_cache_time = now
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except Exception:
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pass
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return _cache
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def invalidate_cache() -> None:
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global _cache_time
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with _lock:
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_cache_time = 0.0
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class RuntimeSettings:
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"""Wraps Settings; liest überschreibbare Felder aus der DB (30s TTL)."""
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def __init__(self, base: Settings):
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object.__setattr__(self, "_base", base)
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def __getattr__(self, name: str) -> Any:
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if name in RUNTIME_SETTABLE:
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overrides = _get_cache()
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if name in overrides:
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return _coerce(name, overrides[name])
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return getattr(object.__getattribute__(self, "_base"), name)
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# Delegiere Pydantic-Metadaten ans Basis-Objekt.
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@property
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def model_fields(self):
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return self._base.model_fields
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runtime_settings = RuntimeSettings(_base)
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