Files
navidrome-music-sync/app/radio/manager.py
T
Antigravity 4ed8e0c71a feat(radio): replace robot TTS with Piper Neural voices & add instant voice preview
- Integrate local Piper ONNX neural TTS engine (Dmitri, Irina, Denis, Ruslan)
- Add GET /api/radio/preview-voice endpoint with cached pre-rendered samples
- Add '▶ Прослушать голос' button in Web UI for 1-click preview before generating
- Add automated filter to strip LLM refusals and fall back to clean radio phrasing
2026-10-12 16:58:59 +03:00

154 lines
6.2 KiB
Python

import os
import shutil
from typing import List, Dict, Any, Optional
from app.config import settings
from app.wave.rotator import wave_rotator
from app.radio.dj import dj_host
class RadioManager:
def __init__(self):
self.radio_dir = os.path.join(settings.MUSIC_DIR, "AI Recommendations", "Радио")
os.makedirs(self.radio_dir, exist_ok=True)
def get_existing_speech_files(self) -> List[Dict[str, Any]]:
"""List currently generated DJ speech clips."""
if not os.path.exists(self.radio_dir):
return []
files = []
for f in sorted(os.listdir(self.radio_dir)):
if f.lower().endswith(".mp3"):
fpath = os.path.join(self.radio_dir, f)
stat = os.stat(fpath)
files.append({
"filename": f,
"path": fpath,
"size_kb": round(stat.st_size / 1024, 1),
"mtime": stat.st_mtime
})
return files
async def generate_radio_broadcast(
self,
voice: Optional[str] = None,
max_segments: int = 5
) -> Dict[str, Any]:
"""Generate AI DJ speech intros and build the 'AI Радио.m3u8' interleaved playlist."""
wave_tracks = wave_rotator.get_current_buffer()
if not wave_tracks:
# If buffer is empty, refill it first
print("[RadioManager] Wave buffer empty. Sourcing wave tracks first...")
await wave_rotator.fill_buffer(mood="auto")
wave_tracks = wave_rotator.get_current_buffer()
if not wave_tracks:
return {"status": "error", "message": "Нет доступных треков в буфере Волны"}
# Clean old DJ voice tracks
for old_file in os.listdir(self.radio_dir):
if old_file.endswith(".mp3"):
try:
os.remove(os.path.join(self.radio_dir, old_file))
except Exception as e:
print(f"[RadioManager] Warning removing old radio file: {e}")
# Plan DJ speech checkpoints (e.g. before track 0, before track 3, before track 7, etc.)
total_tracks = len(wave_tracks)
checkpoints = [0]
step = max(2, settings.RADIO_INTRO_INTERVAL)
curr = step
while curr < total_tracks and len(checkpoints) < max_segments:
checkpoints.append(curr)
curr += step
generated_segments = []
speech_map: Dict[int, str] = {}
for idx, track_idx in enumerate(checkpoints):
next_t = wave_tracks[track_idx]
is_opening = (idx == 0)
# 1. Generate DJ speech text
speech_text = await dj_host.generate_speech_text(
next_track={"artist": next_t["artist"], "title": next_t["title"]},
is_opening=is_opening
)
# 2. Synthesize audio file
segment_filename = f"{idx+1:02d}_dj_intro.mp3"
segment_path = os.path.join(self.radio_dir, segment_filename)
title = f"AI DJ: Приветствие и погода" if is_opening else f"AI DJ: Подводка к «{next_t['title']}»"
success = await dj_host.synthesize_speech(
text=speech_text,
output_file=segment_path,
title=title,
voice=voice
)
if success:
speech_map[track_idx] = segment_filename
generated_segments.append({
"segment": segment_filename,
"text": speech_text,
"before_track": f"{next_t['artist']} - {next_t['title']}"
})
print(f"[RadioManager] 🎙️ Created DJ clip {segment_filename}: \"{speech_text}\"")
# 3. Assemble interleaved M3U8 playlist
playlist_lines = ["#EXTM3U\n"]
for i, t in enumerate(wave_tracks):
# Insert DJ voice if checkpoint
if i in speech_map:
dj_file = speech_map[i]
playlist_lines.append(f"#EXTINF:-1,AI DJ - Эфирная подводка\n")
playlist_lines.append(f"AI Recommendations/Радио/{dj_file}\n")
# Music track
playlist_lines.append(f"#EXTINF:-1,{t['artist']} - {t['title']}\n")
playlist_lines.append(f"AI Recommendations/Моя Волна/{t['filename']}\n")
# Write to /music/AI Радио.m3u8
m3u_root_path = os.path.join(settings.MUSIC_DIR, "AI Радио.m3u8")
with open(m3u_root_path, "w", encoding="utf-8") as f:
f.writelines(playlist_lines)
# Write to /music/playlists/AI Радио.m3u8
playlists_dir = os.path.join(settings.MUSIC_DIR, "playlists")
os.makedirs(playlists_dir, exist_ok=True)
m3u_playlists_path = os.path.join(playlists_dir, "AI Радио.m3u8")
with open(m3u_playlists_path, "w", encoding="utf-8") as f:
f.writelines(playlist_lines)
# Trigger background library scan in Navidrome
try:
from app.core.navidrome import trigger_navidrome_scan
await trigger_navidrome_scan()
except Exception as e:
print(f"[RadioManager] Warning triggering Navidrome scan: {e}")
return {
"status": "ok",
"playlist_name": "AI Радио",
"m3u_path": m3u_root_path,
"total_music_tracks": len(wave_tracks),
"dj_segments_count": len(generated_segments),
"segments": generated_segments
}
def get_radio_status(self) -> Dict[str, Any]:
"""Get summary of current AI Radio state."""
speech_files = self.get_existing_speech_files()
m3u_path = os.path.join(settings.MUSIC_DIR, "AI Радио.m3u8")
playlist_ready = os.path.exists(m3u_path)
return {
"enabled": settings.RADIO_ENABLED,
"playlist_ready": playlist_ready,
"speech_clips_count": len(speech_files),
"speech_clips": speech_files,
"default_voice": settings.RADIO_VOICE or "ru_RU-dmitri-medium",
"available_voices": dj_host.get_available_voices()
}
radio_manager = RadioManager()