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Phase A: 8 new IT-Security training modules (SEC-PWD, SEC-DESK, SEC-KIAI, SEC-BYOD, SEC-VIDEO, SEC-USB, SEC-INC, SEC-HOME) with CTM entries. Bulk content and quiz generation endpoints for all 28 modules. Phase B: Piper TTS service (Python/FastAPI) for local German speech synthesis. training_media table, TTSClient in Go backend, audio generation endpoints, AudioPlayer component in frontend. MinIO storage integration. Phase C: FFmpeg presentation video pipeline — LLM generates slide scripts, ImageMagick renders 1920x1080 slides, FFmpeg combines with audio to MP4. VideoPlayer and ScriptPreview components in frontend. New files: 15 created, 9 modified - compliance-tts-service/ (Dockerfile, main.py, tts_engine.py, storage.py, slide_renderer.py, video_generator.py) - migrations 014-016 (training engine, IT-security modules, media table) - training package (models, store, content_generator, media, handlers) - frontend (AudioPlayer, VideoPlayer, ScriptPreview, api, types, page) Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
176 lines
4.8 KiB
Python
176 lines
4.8 KiB
Python
"""Compliance TTS Service — Piper TTS + FFmpeg Audio/Video Pipeline."""
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import logging
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import os
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import tempfile
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import uuid
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from fastapi import FastAPI, HTTPException
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from pydantic import BaseModel
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from storage import StorageClient
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from tts_engine import PiperTTS
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logging.basicConfig(level=logging.INFO)
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logger = logging.getLogger(__name__)
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app = FastAPI(title="Compliance TTS Service", version="1.0.0")
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# Configuration
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MINIO_ENDPOINT = os.getenv("MINIO_ENDPOINT", "bp-core-minio:9000")
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MINIO_ACCESS_KEY = os.getenv("MINIO_ACCESS_KEY", "breakpilot")
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MINIO_SECRET_KEY = os.getenv("MINIO_SECRET_KEY", "breakpilot123")
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PIPER_MODEL_PATH = os.getenv("PIPER_MODEL_PATH", "/app/models/de_DE-thorsten-high.onnx")
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AUDIO_BUCKET = "compliance-training-audio"
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VIDEO_BUCKET = "compliance-training-video"
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# Initialize services
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storage = StorageClient(MINIO_ENDPOINT, MINIO_ACCESS_KEY, MINIO_SECRET_KEY)
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tts = PiperTTS(PIPER_MODEL_PATH)
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@app.on_event("startup")
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async def startup():
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"""Ensure buckets exist on startup."""
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storage.ensure_bucket(AUDIO_BUCKET)
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storage.ensure_bucket(VIDEO_BUCKET)
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logger.info("TTS Service started")
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# --- Models ---
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class SynthesizeRequest(BaseModel):
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text: str
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language: str = "de"
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voice: str = "thorsten-high"
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module_id: str
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content_id: str | None = None
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class SynthesizeResponse(BaseModel):
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audio_id: str
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bucket: str
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object_key: str
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duration_seconds: float
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size_bytes: int
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class GenerateVideoRequest(BaseModel):
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script: dict
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audio_object_key: str
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module_id: str
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class GenerateVideoResponse(BaseModel):
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video_id: str
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bucket: str
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object_key: str
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duration_seconds: float
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size_bytes: int
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class VoiceInfo(BaseModel):
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id: str
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language: str
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name: str
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quality: str
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# --- Endpoints ---
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@app.get("/health")
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async def health():
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"""Health check endpoint."""
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return {
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"status": "healthy",
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"piper_available": tts.is_available,
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"ffmpeg_available": _check_ffmpeg(),
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"minio_connected": storage.is_connected(),
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}
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@app.get("/voices")
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async def list_voices():
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"""List available TTS voices."""
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return {
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"voices": [
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VoiceInfo(
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id="de_DE-thorsten-high",
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language="de",
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name="Thorsten (High Quality)",
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quality="high",
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),
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],
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}
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@app.post("/synthesize", response_model=SynthesizeResponse)
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async def synthesize(req: SynthesizeRequest):
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"""Synthesize text to audio and upload to storage."""
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if not req.text.strip():
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raise HTTPException(status_code=400, detail="Text is empty")
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audio_id = str(uuid.uuid4())
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content_suffix = req.content_id or "full"
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object_key = f"audio/{req.module_id}/{content_suffix}.mp3"
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with tempfile.TemporaryDirectory() as tmpdir:
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try:
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mp3_path, duration = tts.synthesize_to_mp3(req.text, tmpdir)
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size_bytes = storage.upload_file(AUDIO_BUCKET, object_key, mp3_path, "audio/mpeg")
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except Exception as e:
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logger.error(f"Synthesis failed: {e}")
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raise HTTPException(status_code=500, detail=str(e))
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return SynthesizeResponse(
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audio_id=audio_id,
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bucket=AUDIO_BUCKET,
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object_key=object_key,
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duration_seconds=round(duration, 2),
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size_bytes=size_bytes,
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)
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@app.post("/generate-video", response_model=GenerateVideoResponse)
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async def generate_video(req: GenerateVideoRequest):
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"""Generate a presentation video from slides + audio."""
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try:
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from video_generator import generate_presentation_video
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except ImportError:
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raise HTTPException(status_code=501, detail="Video generation not available yet")
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video_id = str(uuid.uuid4())
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object_key = f"video/{req.module_id}/presentation.mp4"
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with tempfile.TemporaryDirectory() as tmpdir:
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try:
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mp4_path, duration = generate_presentation_video(
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script=req.script,
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audio_object_key=req.audio_object_key,
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output_dir=tmpdir,
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storage=storage,
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audio_bucket=AUDIO_BUCKET,
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)
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size_bytes = storage.upload_file(VIDEO_BUCKET, object_key, mp4_path, "video/mp4")
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except Exception as e:
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logger.error(f"Video generation failed: {e}")
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raise HTTPException(status_code=500, detail=str(e))
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return GenerateVideoResponse(
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video_id=video_id,
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bucket=VIDEO_BUCKET,
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object_key=object_key,
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duration_seconds=round(duration, 2),
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size_bytes=size_bytes,
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)
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def _check_ffmpeg() -> bool:
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"""Check if ffmpeg is available."""
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import subprocess
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try:
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subprocess.run(["ffmpeg", "-version"], capture_output=True, timeout=5)
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return True
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except Exception:
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return False
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