Bisher wurde `language` zwar an STT/TTS übergeben, aber nie an den LLM.
Lokales Modell antwortete deshalb immer auf Englisch/Deutsch, egal ob
Französisch, Spanisch o.a. eingestellt war.
Lösung: `language`-Parameter durch die gesamte LLM-Schicht gezogen:
- base.py: `lang_instruction()` helper + Signatur erweitert
- local_openai_compatible.py: Sprachanweisung ("Respond in Français.")
wird als letzter System-Part in den Message-Stack eingefügt
- openrouter.py: Explizite Sprachanweisung ergänzt den bestehenden
"Answer in the same language as the user"-Prompt
- fallback.py: FallbackLLMProvider leitet `language` durch
- orchestrator.py: alle 3 LLM-Aufrufstellen übergeben `language`
- Tests: alle Stub-LLMs um `language=None` ergänzt
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
81 lines
3 KiB
Python
81 lines
3 KiB
Python
from fastapi.testclient import TestClient
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import app.dependencies as deps
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from app.main import app
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from app.config import settings
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from app.safety.emergency import detect
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client = TestClient(app)
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def _stub_chat(monkeypatch, answer="ok"):
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class StubLLM:
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async def complete(self, text, history=None, session_id=None, language=None):
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return answer
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class StubTTS:
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async def synthesize(self, text, voice=None, audio_format="pcm"):
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return b"A"
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monkeypatch.setitem(deps.LLM_REGISTRY, "l", lambda s: StubLLM())
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monkeypatch.setitem(deps.TTS_REGISTRY, "t", lambda s: StubTTS())
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return {"llm_provider": "l", "tts_provider": "t"}
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# --- Notfall-Erkennung (Einheit) ------------------------------------------
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def test_detect_categories():
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assert detect("Ich habe Brustschmerzen")[0] == "medical"
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assert detect("Bitte ruf einen Arzt")[0] == "help"
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assert detect("I want to die")[0] == "self_harm"
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assert detect("Wie wird das Wetter morgen?") is None
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assert detect("") is None
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# --- Quota -----------------------------------------------------------------
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def test_quota_blocks_after_limit(monkeypatch):
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base = _stub_chat(monkeypatch)
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monkeypatch.setattr(settings, "daily_request_limit", 1)
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body = {"text": "Hallo", **base}
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assert client.post("/api/chat?debug=true", json=body).status_code == 200
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assert client.post("/api/chat?debug=true", json=body).status_code == 429
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def test_quota_unlimited_by_default(monkeypatch):
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base = _stub_chat(monkeypatch)
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body = {"text": "Hallo", **base}
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for _ in range(3):
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assert client.post("/api/chat?debug=true", json=body).status_code == 200
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# --- Notfall ueber Endpunkt ------------------------------------------------
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def test_emergency_surfaced_in_response(monkeypatch):
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base = _stub_chat(monkeypatch, answer="Bleiben Sie ruhig.")
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resp = client.post(
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"/api/chat?debug=true",
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json={"text": "Ich habe starke Schmerzen in der Brust", **base},
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)
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assert resp.status_code == 200
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assert resp.json()["emergency"]["category"] == "medical"
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def test_emergency_bypasses_quota(monkeypatch):
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base = _stub_chat(monkeypatch)
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monkeypatch.setattr(settings, "daily_request_limit", 1)
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body = {**base}
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assert client.post("/api/chat?debug=true", json={"text": "hallo", **body}).status_code == 200
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assert client.post("/api/chat?debug=true", json={"text": "hallo", **body}).status_code == 429
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rescue = client.post("/api/chat?debug=true", json={"text": "ich kann nicht atmen", **body})
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assert rescue.status_code == 200
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assert rescue.json()["emergency"]["category"] == "medical"
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def test_ws_emergency_event(monkeypatch):
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base = _stub_chat(monkeypatch, answer="Ruhig bleiben, Hilfe kommt.")
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with client.websocket_connect("/ws/chat") as ws:
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ws.send_json({"text": "Ich bin gestürzt und komme nicht hoch", **base})
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event = ws.receive_json()
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assert event["type"] == "emergency" and event["category"] == "medical"
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assert ws.receive_json()["type"] == "ack"
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