Files
voicebox/backend/profiles.py
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Python

"""
Voice profile management module.
"""
from typing import List, Optional
from datetime import datetime
import uuid
import shutil
from pathlib import Path
from sqlalchemy.orm import Session
from sqlalchemy import select
from .models import (
VoiceProfileCreate,
VoiceProfileResponse,
ProfileSampleCreate,
ProfileSampleResponse,
)
from .database import (
VoiceProfile as DBVoiceProfile,
ProfileSample as DBProfileSample,
)
from .utils.audio import validate_reference_audio, load_audio, save_audio
from .tts import get_tts_model
from . import config
def _get_profiles_dir() -> Path:
"""Get profiles directory from config."""
return config.get_profiles_dir()
async def create_profile(
data: VoiceProfileCreate,
db: Session,
) -> VoiceProfileResponse:
"""
Create a new voice profile.
Args:
data: Profile creation data
db: Database session
Returns:
Created profile
"""
# Create profile in database
db_profile = DBVoiceProfile(
id=str(uuid.uuid4()),
name=data.name,
description=data.description,
language=data.language,
created_at=datetime.utcnow(),
updated_at=datetime.utcnow(),
)
db.add(db_profile)
db.commit()
db.refresh(db_profile)
# Create profile directory
profile_dir = _get_profiles_dir() / db_profile.id
profile_dir.mkdir(parents=True, exist_ok=True)
return VoiceProfileResponse.model_validate(db_profile)
async def add_profile_sample(
profile_id: str,
audio_path: str,
reference_text: str,
db: Session,
) -> ProfileSampleResponse:
"""
Add a sample to a voice profile.
Args:
profile_id: Profile ID
audio_path: Path to temporary audio file
reference_text: Transcript of audio
db: Database session
Returns:
Created sample
"""
# Validate profile exists
profile = db.query(DBVoiceProfile).filter_by(id=profile_id).first()
if not profile:
raise ValueError(f"Profile {profile_id} not found")
# Validate audio
is_valid, error_msg = validate_reference_audio(audio_path)
if not is_valid:
raise ValueError(f"Invalid reference audio: {error_msg}")
# Create sample ID and directory
sample_id = str(uuid.uuid4())
profile_dir = _get_profiles_dir() / profile_id
profile_dir.mkdir(parents=True, exist_ok=True)
# Copy audio file to profile directory
dest_path = profile_dir / f"{sample_id}.wav"
audio, sr = load_audio(audio_path)
save_audio(audio, str(dest_path), sr)
# Create database entry
db_sample = DBProfileSample(
id=sample_id,
profile_id=profile_id,
audio_path=str(dest_path),
reference_text=reference_text,
)
db.add(db_sample)
# Update profile timestamp
profile.updated_at = datetime.utcnow()
db.commit()
db.refresh(db_sample)
return ProfileSampleResponse.model_validate(db_sample)
async def get_profile(
profile_id: str,
db: Session,
) -> Optional[VoiceProfileResponse]:
"""
Get a voice profile by ID.
Args:
profile_id: Profile ID
db: Database session
Returns:
Profile or None if not found
"""
profile = db.query(DBVoiceProfile).filter_by(id=profile_id).first()
if not profile:
return None
return VoiceProfileResponse.model_validate(profile)
async def get_profile_samples(
profile_id: str,
db: Session,
) -> List[ProfileSampleResponse]:
"""
Get all samples for a profile.
Args:
profile_id: Profile ID
db: Database session
Returns:
List of samples
"""
samples = db.query(DBProfileSample).filter_by(profile_id=profile_id).all()
return [ProfileSampleResponse.model_validate(s) for s in samples]
async def list_profiles(db: Session) -> List[VoiceProfileResponse]:
"""
List all voice profiles.
Args:
db: Database session
Returns:
List of profiles
"""
profiles = db.query(DBVoiceProfile).order_by(
DBVoiceProfile.created_at.desc()
).all()
return [VoiceProfileResponse.model_validate(p) for p in profiles]
async def update_profile(
profile_id: str,
data: VoiceProfileCreate,
db: Session,
) -> Optional[VoiceProfileResponse]:
"""
Update a voice profile.
Args:
profile_id: Profile ID
data: Updated profile data
db: Database session
Returns:
Updated profile or None if not found
"""
profile = db.query(DBVoiceProfile).filter_by(id=profile_id).first()
if not profile:
return None
# Update fields
profile.name = data.name
profile.description = data.description
profile.language = data.language
profile.updated_at = datetime.utcnow()
db.commit()
db.refresh(profile)
return VoiceProfileResponse.model_validate(profile)
async def delete_profile(
profile_id: str,
db: Session,
) -> bool:
"""
Delete a voice profile and all associated data.
Args:
profile_id: Profile ID
db: Database session
Returns:
True if deleted, False if not found
"""
profile = db.query(DBVoiceProfile).filter_by(id=profile_id).first()
if not profile:
return False
# Delete samples from database
db.query(DBProfileSample).filter_by(profile_id=profile_id).delete()
# Delete profile from database
db.delete(profile)
db.commit()
# Delete profile directory
profile_dir = _get_profiles_dir() / profile_id
if profile_dir.exists():
shutil.rmtree(profile_dir)
return True
async def delete_profile_sample(
sample_id: str,
db: Session,
) -> bool:
"""
Delete a profile sample.
Args:
sample_id: Sample ID
db: Database session
Returns:
True if deleted, False if not found
"""
sample = db.query(DBProfileSample).filter_by(id=sample_id).first()
if not sample:
return False
# Delete audio file
audio_path = Path(sample.audio_path)
if audio_path.exists():
audio_path.unlink()
# Delete from database
db.delete(sample)
db.commit()
return True
async def create_voice_prompt_for_profile(
profile_id: str,
db: Session,
use_cache: bool = True,
) -> dict:
"""
Create a combined voice prompt from all samples in a profile.
Args:
profile_id: Profile ID
db: Database session
use_cache: Whether to use cached prompts
Returns:
Voice prompt dictionary
"""
# Get all samples for profile
samples = db.query(DBProfileSample).filter_by(profile_id=profile_id).all()
if not samples:
raise ValueError(f"No samples found for profile {profile_id}")
tts_model = get_tts_model()
if len(samples) == 1:
# Single sample - use directly
sample = samples[0]
voice_prompt, _ = await tts_model.create_voice_prompt(
sample.audio_path,
sample.reference_text,
use_cache=use_cache,
)
return voice_prompt
else:
# Multiple samples - combine them
audio_paths = [s.audio_path for s in samples]
reference_texts = [s.reference_text for s in samples]
# Combine audio
combined_audio, combined_text = await tts_model.combine_voice_prompts(
audio_paths,
reference_texts,
)
# Save combined audio temporarily
import tempfile
with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as tmp:
save_audio(combined_audio, tmp.name, 24000)
tmp_path = tmp.name
try:
# Create prompt from combined audio
voice_prompt, _ = await tts_model.create_voice_prompt(
tmp_path,
combined_text,
use_cache=use_cache,
)
return voice_prompt
finally:
# Clean up temp file
Path(tmp_path).unlink(missing_ok=True)