Files
abogen/abogen/tts_plugin/compat.py
T
Artem Akymenko 985e16f1f8 feat: migrate remaining consumers to new Plugin Architecture
- Add compatibility functions to tts_plugin/compat.py:
  - get_metadata(): returns TTSBackendMetadata with voices
  - is_registered_backend(): checks if plugin is loaded
  - resolve_backend_for_voice(): resolves backend for voice spec
  - get_default_voice(): gets default voice for backend

- Update tts_plugin/__init__.py to export new functions

- Migrate all consumers from old tts_backend_registry:
  - WebUI: conversion_runner, debug_tts_runner, routes/api, routes/utils/*
  - PyQt UI: gui, predownload_gui, voice_formula_gui
  - Voice utilities: voice_cache, voice_formulas, voice_profiles
  - Other: subtitle_utils, utils, predownload_gui (root)

- Update tests to use new plugin architecture

Old architecture remains intact as fallback.
2026-07-12 16:20:06 +03:00

276 lines
8.5 KiB
Python

"""TTS Backend Compatibility Adapter
Provides a drop-in replacement for the old `create_backend()` function
that uses the new Plugin Architecture under the hood.
Usage:
# Old way:
from abogen.tts_backend_registry import create_backend
pipeline = create_backend("kokoro", lang_code="a", device="cpu")
# New way (same interface):
from abogen.tts_plugin.compat import create_backend
pipeline = create_backend("kokoro", lang_code="a", device="cpu")
The adapter wraps the new Engine/EngineSession into a callable that
matches the old TTSBackend protocol.
"""
from typing import Any, Callable, Iterable, Iterator, List, Mapping, Optional, Tuple
import numpy as np
from abogen.tts_plugin.engine import Engine, EngineSession
from abogen.tts_plugin.plugin_manager import get_plugin_manager
class CompatBackend:
"""Compatibility wrapper that makes a new Engine look like the old TTSBackend.
This adapter wraps the new Engine/EngineSession into a callable that
matches the old Kokoro pipeline interface:
pipeline(text, voice=..., speed=..., split_pattern=...) -> Iterator[Segment]
"""
def __init__(self, engine: Engine, **engine_kwargs: Any) -> None:
self._engine = engine
self._engine_kwargs = engine_kwargs
self._session: Optional[EngineSession] = None
def _ensure_session(self) -> EngineSession:
"""Ensure we have an active session."""
if self._session is None:
self._session = self._engine.createSession()
return self._session
def __call__(
self,
text: str,
voice: str = "default",
speed: float = 1.0,
split_pattern: str = r"\n+",
**kwargs: Any,
) -> Iterator[Any]:
"""Call the backend like the old Kokoro pipeline.
Returns an iterator of segment-like objects with .graphemes and .audio attributes.
"""
session = self._ensure_session()
# Build synthesis request using the new API types
from abogen.tts_plugin.types import (
AudioFormat,
ParameterValues,
SynthesisRequest,
VoiceSelection,
)
# Convert voice string to VoiceSelection
voice_selection = VoiceSelection(source="builtin", key=voice)
# Convert speed and split_pattern to parameters
parameters = ParameterValues(values={"speed": speed, "split_pattern": split_pattern})
# Create request with default audio format
request = SynthesisRequest(
text=text,
voice=voice_selection,
parameters=parameters,
format=AudioFormat(mime="audio/wav", extension="wav"),
)
# Synthesize
result = session.synthesize(request)
# Convert result to old-style segment iterator
from dataclasses import dataclass
@dataclass
class Segment:
graphemes: str
audio: np.ndarray
# Convert bytes back to numpy array
audio_array = np.frombuffer(result.data, dtype=np.float32)
# The new API returns a single audio result, but the old API returns
# an iterator of segments. We need to split the text and audio accordingly.
# For now, return a single segment with the full text and audio.
yield Segment(
graphemes=text,
audio=audio_array,
)
def dispose(self) -> None:
"""Dispose the session."""
if self._session is not None:
try:
self._session.dispose()
except Exception:
pass
self._session = None
def __del__(self) -> None:
"""Cleanup on garbage collection."""
self.dispose()
def create_backend(backend_id: str, **kwargs: Any) -> Any:
"""Create a TTS backend using the new Plugin Architecture.
This is a drop-in replacement for the old `create_backend()` function
from `abogen.tts_backend_registry`.
Args:
backend_id: The backend/plugin ID (e.g., "kokoro")
**kwargs: Arguments passed to the engine constructor
Returns:
A callable backend that matches the old TTSBackend protocol
Raises:
KeyError: If plugin_id is not found
Exception: If engine creation fails
"""
manager = get_plugin_manager()
engine = manager.create_engine(backend_id, **kwargs)
return CompatBackend(engine, **kwargs)
def get_metadata(backend_id: str) -> Any:
"""Get metadata for a specific backend using the new Plugin Architecture.
This is a drop-in replacement for the old `get_metadata()` function
from `abogen.tts_backend_registry`.
Args:
backend_id: The backend/plugin ID (e.g., "kokoro")
Returns:
TTSBackendMetadata-like object with voices attribute
Raises:
KeyError: If plugin_id is not found
"""
from abogen.tts_backend import TTSBackendMetadata
manager = get_plugin_manager()
plugin_info = manager.get_plugin(backend_id)
if plugin_info is None:
raise KeyError(f"Unknown backend: {backend_id}")
manifest = plugin_info["manifest"]
# Import voice lists from plugin engines
# This avoids creating an engine just to get the voice list
voices: tuple[str, ...] = ()
if backend_id == "kokoro":
try:
from plugins.kokoro.engine import _KOKORO_VOICES
voices = _KOKORO_VOICES
except ImportError:
pass
elif backend_id == "supertonic":
try:
from plugins.supertonic.engine import _SUPERTONIC_VOICES
voices = _SUPERTONIC_VOICES
except ImportError:
pass
return TTSBackendMetadata(
id=manifest.id,
name=manifest.name,
description=manifest.description,
voices=voices,
)
def is_registered_backend(backend_id: str) -> bool:
"""Check if a backend is registered using the new Plugin Architecture.
This is a drop-in replacement for the old `is_registered_backend()` function
from `abogen.tts_backend_registry`.
Args:
backend_id: The backend/plugin ID (e.g., "kokoro")
Returns:
True if the plugin is loaded, False otherwise
"""
manager = get_plugin_manager()
return manager.has_plugin(backend_id)
def resolve_backend_for_voice(
spec: str,
fallback: str = "kokoro",
) -> str:
"""Determine which backend owns the given voice specification.
This is a drop-in replacement for the old `resolve_backend_for_voice()` function
from `abogen.tts_backend_registry`.
Resolution rules:
1. Empty spec -> fallback
2. Kokoro formula (contains '*' or '+') -> "kokoro"
3. Exact voice ID match against registered plugins -> plugin id
4. Unknown voice -> fallback
Args:
spec: Voice specification (e.g., "af_nova", "M1", "af_nova*0.7+am_liam*0.3")
fallback: Fallback backend ID if no match is found
Returns:
The backend/plugin ID that owns the voice
"""
raw = str(spec or "").strip()
if not raw:
return fallback
# Kokoro formula detection
if "*" in raw or "+" in raw:
return "kokoro"
manager = get_plugin_manager()
upper = raw.upper()
# Check each plugin's voices
for plugin_info in manager.list_plugins():
manifest = plugin_info
for voice_source in manifest.engine.voiceSources:
if voice_source.type == "list" and isinstance(voice_source.config, dict):
try:
engine = manager.create_engine(manifest.id)
if hasattr(engine, "listVoices"):
voice_manifests = engine.listVoices(voice_source.id)
voice_ids = [v.id.upper() for v in voice_manifests]
if upper in voice_ids:
engine.dispose()
return manifest.id
engine.dispose()
except Exception:
continue
return fallback
def get_default_voice(backend_id: str, fallback: str = "") -> str:
"""Return the first voice of a backend, or fallback if none.
This is a drop-in replacement for the old `get_default_voice()` function
from `abogen.tts_backend_registry`.
Args:
backend_id: The backend/plugin ID (e.g., "kokoro")
fallback: Fallback voice if no voices are available
Returns:
The first voice ID, or fallback if none
"""
try:
metadata = get_metadata(backend_id)
voices = metadata.voices
return voices[0] if voices else fallback
except KeyError:
return fallback