my_voice_assistant_v3_jamulix/app/api/chat.py
dschlueter 5d05e081d4 feat: Notruf — Telefon in SMS, Geo-Diagnose + Geräteerkennung; Sprach-UI-Fix
Notruf (Punkte 1+2):
- SMS enthält jetzt die Telefonnummer(n) der Person (Mobil/Festnetz).
- Geo-Diagnose (P1): captureGeo liefert bei Fehlschlag einen Grund
  (Permission/insecure/Timeout/Code) statt still null; geht als geo_error an
  /api/emergency, landet in E-Mail ("Standort nicht verfügbar (<Grund>)") und
  im Server-Log (logger.info) — Fehlversuche sind jetzt erklärbar.
- Geräteerkennung (P2): device {mobile, platform} via User-Agent Client Hints
  (Fallback UA-String); E-Mail zeigt "Auslösegerät: Mobilgerät/Festgerät (…)".
- schemas: DeviceInfo + EmergencyRequest.geo_error/device; chat reicht durch.
- Tests: Telefon in SMS, geo_error + Geräte-Zeile in E-Mail (240 grün).

Sprach-Bug (Punkt 3): allowed_languages wurde im Menü nur via <option hidden>
gefiltert, was manche Browser bei <select> ignorieren -> Sprachen blieben
wählbar. Jetzt zusätzlich opt.disabled (robust, nicht wählbar); Backend klemmt
ohnehin serverseitig.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-25 17:24:36 +02:00

156 lines
5.5 KiB
Python

from io import BytesIO
from fastapi import APIRouter, Depends, HTTPException, Query
from fastapi.responses import JSONResponse, StreamingResponse
from app.config import settings
from app.errors import RoutingError
from app.auth import require_user
from app.store import ANONYMOUS_USER_ID, User, SessionOwnershipError
from app.dependencies import (
resolve_route,
build_orchestrator,
resolve_output_endpoint,
get_store,
piper_voice_for_language,
voice_for_route,
)
from app.core.memory_extractor import maybe_schedule_extraction
from app.quota import enforce_quota, record_usage, QuotaExceededError
from app.safety.emergency import record_manual_emergency
from app.schemas import ChatRequest, EmergencyRequest
router = APIRouter()
def _route_headers(route) -> dict:
return {
"X-Input-Endpoint": route.input_endpoint,
"X-Output-Endpoint": route.output_endpoint,
"X-STT-Provider": route.stt_provider,
"X-LLM-Provider": route.llm_provider,
"X-TTS-Provider": route.tts_provider,
}
@router.post("/chat")
async def chat(
payload: ChatRequest,
debug: bool = Query(
default=False,
description="Return JSON trace instead of audio response",
),
session_id: str | None = Query(
default=None,
description="Optional session id to apply a stored route",
),
user: User = Depends(require_user),
):
overrides = {
"input_endpoint": payload.input_endpoint,
"output_endpoint": payload.output_endpoint,
"language": payload.language,
"stt_provider": payload.stt_provider,
"llm_provider": payload.llm_provider,
"tts_provider": payload.tts_provider,
}
store = get_store()
try:
route = resolve_route(user, session_id, overrides)
orchestrator = build_orchestrator(route)
output = await resolve_output_endpoint(route)
# Gespraechsverlauf laden (nur bei gesetzter session_id -> sonst zustandslos).
conversation = (
store.get_recent_messages(session_id, settings.history_max_messages)
if session_id
else []
)
# Langzeit-Erinnerungen sind nutzerbezogen und gelten auch ohne Session.
memories = store.get_memories(user.id)
except SessionOwnershipError as exc:
raise HTTPException(status_code=403, detail=str(exc))
except RoutingError as exc:
raise HTTPException(status_code=422, detail=str(exc))
llm_context = list(conversation)
user_context_parts = []
if user.id != ANONYMOUS_USER_ID:
user_context_parts.append(f"Du sprichst mit {user.display_name}.")
if memories:
user_context_parts.append(
"Was du ueber den Nutzer weisst:\n" + "\n".join(f"- {m.content}" for m in memories)
)
if user_context_parts:
llm_context = [{"role": "system", "content": "\n".join(user_context_parts)}] + llm_context
try:
enforce_quota(user, store)
except QuotaExceededError as exc:
raise HTTPException(status_code=429, detail=str(exc))
# Explizit angeforderte Stimme gewinnt; sonst folgt sie der Routensprache.
voice = payload.voice or voice_for_route(route.tts_provider, route.language, route.voice_gender)
try:
trace, audio = await orchestrator.chat_text(
payload.text,
language=route.language,
voice=voice,
output=output,
history=llm_context,
text_only=bool(payload.text_only),
)
except Exception as exc:
raise HTTPException(status_code=502, detail=str(exc))
record_usage(user, store, len(payload.text) + len(trace.semantic_response or ""))
# Turn persistieren (User-Eingabe + semantische Antwort) fuer das Gedaechtnis.
if session_id:
store.append_message(session_id, user.id, "user", payload.text)
store.append_message(session_id, user.id, "assistant", trace.semantic_response)
maybe_schedule_extraction(store, user.id, session_id)
if debug:
return JSONResponse(
content={
"ok": True,
"voice": voice,
"route": route.as_dict(),
"history_len": len(conversation),
"memories_len": len(memories),
"trace": {
"raw_transcript": trace.raw_transcript,
"cleaned_transcript": trace.cleaned_transcript,
"semantic_response": trace.semantic_response,
"spoken_response": trace.spoken_response,
"tts_ready_text": trace.tts_ready_text,
},
}
)
headers = {
"Content-Language": route.language,
"X-Audio-Format": "pcm",
"X-Audio-Sample-Rate": "24000",
"X-Audio-Channels": "1",
"X-Audio-Sample-Width": "16",
**_route_headers(route),
}
if emergency:
headers["X-Emergency"] = emergency["category"]
return StreamingResponse(BytesIO(audio), media_type="audio/pcm", headers=headers)
@router.post("/emergency")
async def trigger_emergency(payload: EmergencyRequest, user: User = Depends(require_user)):
"""Vom Nutzer bestätigter Notruf. Protokolliert + liefert den Hinweis (in Nutzersprache).
Die eigentliche Benachrichtigung von Angehörigen folgt später.
"""
store = get_store()
return await record_manual_emergency(
user, store, payload.language,
geo=payload.geo, geo_error=payload.geo_error, device=payload.device,
)