7f1f14537b
- teach.py, questions.py: replace f-string SQL with parameterized CAST(:vec AS vector) queries - auth.py: add reusable check_rate_limit() Redis helper - teach.py: rate limit /chat to 30 req/10min per user - tts.py: rate limit /speak to 60 req/hr per user - teach.py: stronger system prompt — no clarifying questions, use markdown, answer directly - TeachChat.jsx: render assistant messages with ReactMarkdown (already in package.json) Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
85 lines
3 KiB
Python
85 lines
3 KiB
Python
from fastapi import APIRouter, Depends, HTTPException
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from fastapi.responses import Response
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from pydantic import BaseModel
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from sqlalchemy.orm import Session
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from app.config import settings
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from app.database import get_db
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from app.models.user import User
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from app.models.ai_model_config import AIModelConfig
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from app.services import ai_service
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from app.utils.auth import get_current_user, check_rate_limit
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router = APIRouter()
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class TTSRequest(BaseModel):
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text: str
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voice: str | None = None # model_id override
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def _polly_enabled() -> bool:
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try:
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import redis as redis_lib
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r = redis_lib.from_url(settings.REDIS_URL, decode_responses=True)
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val = r.get("settings:polly_enabled")
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return val != "false"
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except Exception:
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return True
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@router.get("/voices")
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def get_voices(
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db: Session = Depends(get_db),
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current_user: User = Depends(get_current_user),
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):
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"""Return available TTS voices from DB, excluding Polly if disabled."""
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query = db.query(AIModelConfig).filter(
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AIModelConfig.task == "tts",
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AIModelConfig.is_active == True,
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)
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if not _polly_enabled():
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query = query.filter(~AIModelConfig.model_id.like("polly/%"))
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db_models = query.order_by(AIModelConfig.is_default.desc(), AIModelConfig.name).all()
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return [{"id": m.model_id, "name": m.name, "is_default": m.is_default} for m in db_models]
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@router.post("/speak")
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def text_to_speech(
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request: TTSRequest,
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db: Session = Depends(get_db),
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current_user: User = Depends(get_current_user),
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):
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"""Convert text to speech using configured or user-selected TTS model."""
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# Rate limit: 60 TTS requests per user per hour
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check_rate_limit(
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key=f"tts_speak:{current_user.id}",
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max_calls=60,
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window_seconds=3600,
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detail="TTS rate limit reached. You can generate up to 60 audio clips per hour.",
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)
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if not request.text.strip():
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raise HTTPException(status_code=400, detail="Text cannot be empty")
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text = request.text[:2000]
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if request.voice:
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if request.voice.startswith("polly/") and not _polly_enabled():
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raise HTTPException(status_code=400, detail="AWS Polly is currently disabled")
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config = db.query(AIModelConfig).filter(AIModelConfig.model_id == request.voice).first()
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model_id = config.model_id if config else request.voice
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api_key = config.api_key if (config and config.api_key) else None
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else:
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config = db.query(AIModelConfig).filter(
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AIModelConfig.task == "tts",
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AIModelConfig.is_active == True,
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AIModelConfig.is_default == True,
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).first()
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model_id = config.model_id if config else "tts-1:alloy"
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api_key = config.api_key if (config and config.api_key) else None
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audio = ai_service.generate_tts_audio(text, model_id=model_id, api_key=api_key)
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if audio is None:
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raise HTTPException(status_code=500, detail="TTS generation failed. Check model configuration.")
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return Response(content=audio, media_type="audio/mpeg")
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