diff --git a/README.md b/README.md index cbc7bddc..a0dfa1ec 100644 --- a/README.md +++ b/README.md @@ -30,6 +30,7 @@ Message sent successfully: - [Quick Start](#quick-start) - [MCP Client Configuration](#mcp-client-configuration) - [Multi-Account Setup](#multi-account-setup) +- [Voice Transcription](#voice-transcription) - [Proxy Support](#proxy-support) - [File Path Security](#file-path-security) - [Docker](#docker) @@ -49,6 +50,7 @@ The server currently includes 80+ MCP tools grouped into these areas: - **Media:** send files, download media, upload files, send voice notes, stickers, GIFs, and inspect message media. - **Profile and privacy:** get your own account info, update profile fields, set or delete profile photos, inspect privacy settings, get user info/photos/status, and manage bot commands. - **Folders and drafts:** list, create, update, reorder, and delete Telegram folders; save, list, and clear drafts. +- **Voice transcription (optional):** download a voice/audio message and transcribe it locally with Whisper (Intel CPU/Iris/Arc, NVIDIA CUDA, Apple Silicon, or CPU fallback). See [Voice Transcription](#voice-transcription). All tool results that include Telegram user-controlled content are sanitized and, where practical, returned as structured JSON. @@ -167,6 +169,81 @@ Example prompts: - "Show unread messages from all accounts" - "Send this from my work account to @example" +## Voice Transcription + +Voice and audio messages can be transcribed locally with Whisper. Audio +never leaves your host — the model runs against whichever accelerator +your machine has. Two MCP tools are exposed: + +- `transcribe_voice(chat_id, message_id, language=None)` — downloads the + voice/audio attachment and returns transcribed text. +- `voice_transcription_info()` — reports the active backend, device, + model, and config. + +### Install one of the backend extras + +The transcription dependencies are **optional** — pick the one that +matches your hardware. Without any of them installed the tools return a +clear `transcription_unavailable` error and the rest of the server keeps +working unchanged. + +| Hardware | Extras | Backend | +|---|---|---| +| Universal CPU on any OS, NVIDIA CUDA | `pip install -e ".[voice]"` | `faster-whisper` (CTranslate2) | +| Intel CPU / Iris Xe iGPU / Arc dGPU | `pip install -e ".[voice-openvino]"` | OpenVINO GenAI | +| Apple Silicon (M1/M2/M3/M4) | `pip install -e ".[voice-mlx]"` | `mlx-whisper` | + +You can install several extras at once — `auto`-detection picks the best +available accelerator at startup. If only CPU is available the server +emits a one-time warning ("будет долго" / `whisper_cpu_only`) — disable +with `WHISPER_WARN_CPU=false`. + +### Configuration + +All settings are env vars. Defaults are sensible for most setups. + +| Var | Default | Meaning | +|---|---|---| +| `WHISPER_ENABLED` | `true` | Set to `false` to disable transcription tools entirely. | +| `WHISPER_BACKEND` | `auto` | `auto` / `faster_whisper` / `openvino` / `mlx`. | +| `WHISPER_DEVICE` | `auto` | `auto` / `cpu` / `cuda` / `gpu` / `gpu.0` / `gpu.1` … | +| `WHISPER_MODEL` | `base` | `tiny` / `base` / `small` / `medium` / `large-v3` / `large-v3-turbo`. | +| `WHISPER_LANGUAGE` | _(unset = auto-detect)_ | ISO 639-1 code (`ru`, `en`, …). | +| `WHISPER_WARN_CPU` | `true` | Log a one-time warning when running CPU-only. | +| `WHISPER_CACHE_DIR` | `~/.cache/telegram-mcp/whisper` | Where weights are downloaded. | + +### Auto-detect priority + +1. Apple Silicon → `mlx-whisper` (MPS). +2. NVIDIA CUDA → `faster-whisper` (`cuda`, fp16). +3. Intel discrete GPU (Arc) or iGPU (Iris/UHD) → OpenVINO (`GPU.N`). +4. CPU fallback via `faster-whisper` (or OpenVINO if it's the only one + installed). + +Performance reference (Whisper-base, 11 s English clip): + +| Device | Inference | × realtime | +|---|---|---| +| Intel Arc A550M (OpenVINO) | ~160 ms | 67× | +| Intel Iris Xe (OpenVINO) | ~330 ms | 33× | +| i7-12700H, 20 threads (OpenVINO CPU) | ~600 ms | 18× | + +Larger models (`large-v3-turbo` etc.) are correspondingly slower; pick +the smallest model that gives you acceptable accuracy for your language +and noise level. + +### Example + +```text +> Find the latest voice message in my Saved Messages and transcribe it + in Russian. + + list_messages(chat_id="me", limit=20, with_media=true) + → finds a voice message with id=12345 + transcribe_voice(chat_id="me", message_id=12345, language="ru") + → "Привет, проверка транскрипции через локальный Whisper." +``` + ## Proxy Support Route Telegram traffic through a proxy by setting the `TELEGRAM_PROXY_*` diff --git a/pyproject.toml b/pyproject.toml index a2c43435..19c26df2 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -39,13 +39,38 @@ proxy = [ "python-socks>=2.4.3", ] +# Voice transcription (universal): faster-whisper covers CPU on every OS and +# NVIDIA CUDA. See README "Voice transcription" for backend selection. +voice = [ + "faster-whisper>=1.1.0", +] + +# Voice transcription on Intel CPU / Iris Xe iGPU / Arc dGPU via OpenVINO. +voice-openvino = [ + "openvino>=2025.0.0", + "openvino-genai>=2025.0.0.0", + "librosa>=0.10", + "huggingface-hub>=0.26", + "numpy>=1.24", +] + +# Voice transcription on Apple Silicon (M1/M2/M3/M4) via Apple's MLX. +voice-mlx = [ + "mlx-whisper>=0.4", +] + [project.urls] "Homepage" = "https://github.com/chigwell/telegram-mcp" "Bug Tracker" = "https://github.com/chigwell/telegram-mcp/issues" [tool.setuptools] py-modules = ["main", "sanitize", "session_string_generator"] -packages = ["telegram_mcp", "telegram_mcp.tools"] +packages = [ + "telegram_mcp", + "telegram_mcp.tools", + "telegram_mcp.voice", + "telegram_mcp.voice.backends", +] [project.scripts] telegram-mcp = "main:main" diff --git a/telegram_mcp/tools/__init__.py b/telegram_mcp/tools/__init__.py index a7a84885..7697d35d 100644 --- a/telegram_mcp/tools/__init__.py +++ b/telegram_mcp/tools/__init__.py @@ -8,5 +8,6 @@ from telegram_mcp.tools.media import * from telegram_mcp.tools.profile import * from telegram_mcp.tools.folders import * +from telegram_mcp.tools.voice import * __all__ = [name for name in globals() if not name.startswith("_")] diff --git a/telegram_mcp/tools/voice.py b/telegram_mcp/tools/voice.py new file mode 100644 index 00000000..4e9591a4 --- /dev/null +++ b/telegram_mcp/tools/voice.py @@ -0,0 +1,100 @@ +"""Voice transcription MCP tools (local Whisper).""" + +from __future__ import annotations + +import json +import tempfile +from pathlib import Path + +from telegram_mcp import voice +from telegram_mcp.runtime import * # noqa: F401,F403 + + +@mcp.tool( + annotations=ToolAnnotations( + title="Transcribe Voice", + readOnlyHint=True, + openWorldHint=False, + ) +) +@with_account(readonly=True) +@validate_id("chat_id") +async def transcribe_voice( + chat_id: Union[int, str], + message_id: int, + language: Optional[str] = None, + account: str = None, +) -> str: + """ + Download a voice message and transcribe it locally via Whisper. + + The active backend is auto-detected at startup (Apple MLX → NVIDIA CUDA → + Intel OpenVINO → CPU) and configurable via ``WHISPER_BACKEND`` / + ``WHISPER_DEVICE`` / ``WHISPER_MODEL`` env vars. No audio is uploaded + anywhere — transcription runs entirely on the host. + + Args: + chat_id: The chat ID or username containing the voice message. + message_id: The message ID with the voice (or audio) attachment. + language: ISO 639-1 code (e.g. ``"ru"``, ``"en"``). ``None`` = + auto-detect from audio (slightly slower). + + Returns: + Transcribed text, or a JSON error blob if transcription is + unavailable, the message has no voice attachment, or download fails. + """ + try: + cl = get_client(account) + await ensure_connected(cl) + entity = await resolve_entity(chat_id, cl) + msg = await cl.get_messages(entity, ids=message_id) + if msg is None: + return f"Message {message_id} in chat {chat_id} not found." + if not (msg.voice or msg.audio): + return ( + f"Message {message_id} in chat {chat_id} has no voice/audio attachment " + "(only voice notes and audio messages can be transcribed)." + ) + + with tempfile.TemporaryDirectory(prefix="telegram-mcp-voice-") as td: + target = Path(td) / "voice" # Telethon will append correct extension. + downloaded = await cl.download_media(msg, file=str(target)) + if not downloaded: + return f"Failed to download voice from message {message_id}." + try: + text = voice.transcribe(Path(downloaded), language=language) + except voice.VoiceTranscriptionUnavailable as exc: + return json.dumps( + { + "error": "transcription_unavailable", + "message": str(exc), + "config": voice.get_backend_info(), + }, + ensure_ascii=False, + ) + return text + except Exception as e: + return log_and_format_error( + "transcribe_voice", + e, + chat_id=chat_id, + message_id=message_id, + language=language, + ) + + +@mcp.tool( + annotations=ToolAnnotations( + title="Voice Transcription Info", + readOnlyHint=True, + openWorldHint=False, + ) +) +async def voice_transcription_info() -> str: + """ + Report current voice transcription configuration and active backend. + + Useful to verify which Whisper backend/device the server picked up + (Intel Arc, NVIDIA CUDA, Apple MPS, or CPU fallback). + """ + return json.dumps(voice.get_backend_info(), ensure_ascii=False, indent=2) diff --git a/telegram_mcp/voice/__init__.py b/telegram_mcp/voice/__init__.py new file mode 100644 index 00000000..b44bc2cd --- /dev/null +++ b/telegram_mcp/voice/__init__.py @@ -0,0 +1,116 @@ +"""Local Whisper voice transcription with pluggable backends. + +Public API: + transcribe(audio_path, language=None) -> str + get_backend_info() -> dict (for introspection) + VoiceTranscriptionUnavailable + +Backend selection is driven by env vars (see config.py) and runtime hardware +detection (see detect.py). Backends are loaded lazily so users only pay for +the deps they have installed. +""" + +from __future__ import annotations + +import logging +import threading +from pathlib import Path +from typing import Any, Dict, Optional + +from .backends.base import VoiceTranscriptionUnavailable, WhisperBackend +from .config import WhisperConfig, get_config +from .detect import resolve_backend + +logger = logging.getLogger(__name__) + +_backend: Optional[WhisperBackend] = None +_backend_lock = threading.Lock() +_warned_cpu = False + + +def _build_backend(name: str, model: str, device: str, cache_dir: Path) -> WhisperBackend: + if name == "faster_whisper": + from .backends.faster_whisper import FasterWhisperBackend + + return FasterWhisperBackend(model=model, device=device, cache_dir=cache_dir) + if name == "openvino": + from .backends.openvino import OpenVINOBackend + + return OpenVINOBackend(model=model, device=device, cache_dir=cache_dir) + if name == "mlx": + from .backends.mlx import MLXBackend + + return MLXBackend(model=model, device=device, cache_dir=cache_dir) + raise VoiceTranscriptionUnavailable(f"Unknown whisper backend: {name}") + + +def _maybe_warn_cpu(cfg: WhisperConfig, device: str) -> None: + global _warned_cpu + if _warned_cpu: + return + if device.lower() != "cpu": + return + if not cfg.warn_cpu: + return + logger.warning( + "whisper_cpu_only: транскрипция работает на CPU без GPU-ускорения — будет долго. " + "Поставь optional extras для своего железа: " + "[voice-openvino] (Intel CPU/iGPU/Arc), [voice] с CUDA (NVIDIA), [voice-mlx] (Apple Silicon). " + "Отключить варнинг: WHISPER_WARN_CPU=false. Отключить транскрипцию: WHISPER_ENABLED=false." + ) + _warned_cpu = True + + +def get_backend() -> WhisperBackend: + """Return the active backend, building it on first access.""" + global _backend + if _backend is not None: + return _backend + with _backend_lock: + if _backend is not None: + return _backend + cfg = get_config() + if not cfg.enabled: + raise VoiceTranscriptionUnavailable( + "Voice transcription is disabled (WHISPER_ENABLED=false)." + ) + backend_name, device = resolve_backend(cfg) + _maybe_warn_cpu(cfg, device) + logger.info( + "whisper_backend_selected", extra={"backend": backend_name, "device": device, "model": cfg.model} + ) + _backend = _build_backend(backend_name, cfg.model, device, cfg.cache_dir) + return _backend + + +def transcribe(audio_path: Path, language: Optional[str] = None) -> str: + """Transcribe an audio file. Raises VoiceTranscriptionUnavailable if disabled/unsupported.""" + cfg = get_config() + lang = language if language is not None else cfg.language + return get_backend().transcribe(Path(audio_path), language=lang) + + +def get_backend_info() -> Dict[str, Any]: + """Return info about the active or to-be-built backend, without forcing instantiation if not yet built.""" + cfg = get_config() + info: Dict[str, Any] = { + "enabled": cfg.enabled, + "backend": cfg.backend, + "device": cfg.device, + "model": cfg.model, + "language": cfg.language, + "warn_cpu": cfg.warn_cpu, + "cache_dir": str(cfg.cache_dir), + } + if _backend is not None: + info["active_backend"] = _backend.name + info["active_device"] = _backend.device + return info + + +__all__ = [ + "transcribe", + "get_backend", + "get_backend_info", + "VoiceTranscriptionUnavailable", +] diff --git a/telegram_mcp/voice/backends/__init__.py b/telegram_mcp/voice/backends/__init__.py new file mode 100644 index 00000000..94bb137d --- /dev/null +++ b/telegram_mcp/voice/backends/__init__.py @@ -0,0 +1,9 @@ +"""Whisper backend implementations. + +Each backend module is imported lazily via the facade in +`telegram_mcp.voice` so users only pay for the deps they have installed. +""" + +from .base import VoiceTranscriptionUnavailable, WhisperBackend + +__all__ = ["VoiceTranscriptionUnavailable", "WhisperBackend"] diff --git a/telegram_mcp/voice/backends/base.py b/telegram_mcp/voice/backends/base.py new file mode 100644 index 00000000..65651c2d --- /dev/null +++ b/telegram_mcp/voice/backends/base.py @@ -0,0 +1,29 @@ +"""Whisper backend ABC.""" + +from __future__ import annotations + +from abc import ABC, abstractmethod +from pathlib import Path +from typing import Optional + + +class VoiceTranscriptionUnavailable(RuntimeError): + """Transcription backend is missing, disabled, or hardware not present.""" + + +class WhisperBackend(ABC): + """Abstract whisper transcription backend. + + Subclasses pick one of: ``faster_whisper`` (universal CPU + NVIDIA CUDA), + ``openvino`` (Intel CPU/iGPU/Arc), ``mlx`` (Apple Silicon). + """ + + name: str = "" + device: str = "cpu" + + @abstractmethod + def __init__(self, *, model: str, device: str, cache_dir: Path) -> None: ... + + @abstractmethod + def transcribe(self, audio_path: Path, language: Optional[str] = None) -> str: + """Transcribe an audio file to text. ``audio_path`` must point to an existing file.""" diff --git a/telegram_mcp/voice/backends/faster_whisper.py b/telegram_mcp/voice/backends/faster_whisper.py new file mode 100644 index 00000000..bd3d6278 --- /dev/null +++ b/telegram_mcp/voice/backends/faster_whisper.py @@ -0,0 +1,41 @@ +"""faster-whisper backend (universal CPU + NVIDIA CUDA).""" + +from __future__ import annotations + +from pathlib import Path +from typing import Any, Optional + +from .base import VoiceTranscriptionUnavailable, WhisperBackend + + +class FasterWhisperBackend(WhisperBackend): + """CTranslate2-powered Whisper. Works on CPU everywhere; CUDA on NVIDIA.""" + + name = "faster_whisper" + + def __init__(self, *, model: str, device: str, cache_dir: Path) -> None: + try: + from faster_whisper import WhisperModel # type: ignore + except ImportError as exc: # pragma: no cover + raise VoiceTranscriptionUnavailable( + "faster-whisper is not installed. Install [voice] extras." + ) from exc + + compute_type = "float16" if device == "cuda" else "int8" + cache_dir.mkdir(parents=True, exist_ok=True) + self.device = device + self._model: Any = WhisperModel( + model, + device=device, + compute_type=compute_type, + download_root=str(cache_dir), + ) + + def transcribe(self, audio_path: Path, language: Optional[str] = None) -> str: + segments, _info = self._model.transcribe( + str(audio_path), + language=language, + beam_size=5, + vad_filter=True, + ) + return " ".join(seg.text.strip() for seg in segments).strip() diff --git a/telegram_mcp/voice/backends/mlx.py b/telegram_mcp/voice/backends/mlx.py new file mode 100644 index 00000000..94dd106c --- /dev/null +++ b/telegram_mcp/voice/backends/mlx.py @@ -0,0 +1,39 @@ +"""mlx-whisper backend (Apple Silicon).""" + +from __future__ import annotations + +from pathlib import Path +from typing import Any, Optional + +from .base import VoiceTranscriptionUnavailable, WhisperBackend + + +class MLXBackend(WhisperBackend): + name = "mlx" + + def __init__(self, *, model: str, device: str, cache_dir: Path) -> None: + try: + import mlx_whisper # type: ignore # noqa: F401 + except ImportError as exc: # pragma: no cover + raise VoiceTranscriptionUnavailable( + "mlx-whisper is not installed. Install [voice-mlx] extras (Apple Silicon only)." + ) from exc + + size = model.strip().lower() + if size.startswith("whisper-"): + size = size[len("whisper-"):] + # The mlx-community publishes pre-converted MLX weights on HF. + self._repo = f"mlx-community/whisper-{size}-mlx" + self.device = device or "mps" + cache_dir.mkdir(parents=True, exist_ok=True) + self._cache_dir = cache_dir + + def transcribe(self, audio_path: Path, language: Optional[str] = None) -> str: + import mlx_whisper # type: ignore + + result: Any = mlx_whisper.transcribe( + str(audio_path), + path_or_hf_repo=self._repo, + language=language, + ) + return str(result.get("text", "")).strip() diff --git a/telegram_mcp/voice/backends/openvino.py b/telegram_mcp/voice/backends/openvino.py new file mode 100644 index 00000000..e0d9aa00 --- /dev/null +++ b/telegram_mcp/voice/backends/openvino.py @@ -0,0 +1,72 @@ +"""OpenVINO backend (best on Intel CPU, Iris Xe iGPU, Arc dGPU).""" + +from __future__ import annotations + +from pathlib import Path +from typing import Any, Optional + +from .base import VoiceTranscriptionUnavailable, WhisperBackend + + +def _normalize_model_name(model: str) -> str: + """Accept ``base``, ``whisper-base``, ``whisper-large-v3-turbo`` etc. + + Returns the OpenVINO HF repo's model size segment (e.g. ``base``, + ``large-v3-turbo``). + """ + name = model.strip().lower() + if name.startswith("whisper-"): + name = name[len("whisper-"):] + return name + + +class OpenVINOBackend(WhisperBackend): + name = "openvino" + + def __init__(self, *, model: str, device: str, cache_dir: Path) -> None: + try: + import openvino_genai # type: ignore + except ImportError as exc: # pragma: no cover + raise VoiceTranscriptionUnavailable( + "openvino-genai is not installed. Install [voice-openvino] extras." + ) from exc + try: + from huggingface_hub import snapshot_download # type: ignore + except ImportError as exc: # pragma: no cover + raise VoiceTranscriptionUnavailable( + "huggingface_hub is required for the OpenVINO backend." + ) from exc + + size = _normalize_model_name(model) + repo = f"OpenVINO/whisper-{size}-fp16-ov" + cache_dir.mkdir(parents=True, exist_ok=True) + local = cache_dir / f"whisper-{size}-fp16-ov" + if not local.exists() or not any(local.glob("openvino_*.xml")): + snapshot_download(repo_id=repo, local_dir=str(local)) + + self.device = device.upper() if device else "CPU" + self._pipe: Any = openvino_genai.WhisperPipeline(str(local), self.device) + self._librosa: Optional[Any] = None + self._np: Optional[Any] = None + + def _load_audio(self, audio_path: Path) -> Any: + if self._librosa is None: + try: + import librosa # type: ignore + import numpy as np # type: ignore + except ImportError as exc: # pragma: no cover + raise VoiceTranscriptionUnavailable( + "librosa is required for the OpenVINO backend." + ) from exc + self._librosa = librosa + self._np = np + audio, _ = self._librosa.load(str(audio_path), sr=16000, mono=True) + return audio.astype(self._np.float32) + + def transcribe(self, audio_path: Path, language: Optional[str] = None) -> str: + audio = self._load_audio(audio_path) + kwargs = {} + if language: + kwargs["language"] = f"<|{language}|>" + result = self._pipe.generate(audio, **kwargs) + return str(result).strip() diff --git a/telegram_mcp/voice/config.py b/telegram_mcp/voice/config.py new file mode 100644 index 00000000..77303101 --- /dev/null +++ b/telegram_mcp/voice/config.py @@ -0,0 +1,71 @@ +"""Whisper config from environment variables.""" + +from __future__ import annotations + +import os +from dataclasses import dataclass +from pathlib import Path +from typing import Optional + + +def _bool_env(name: str, default: bool) -> bool: + raw = os.getenv(name) + if raw is None: + return default + return raw.strip().lower() in ("1", "true", "yes", "on") + + +def _str_env(name: str, default: str) -> str: + raw = os.getenv(name) + return raw.strip() if raw and raw.strip() else default + + +def _opt_str_env(name: str) -> Optional[str]: + raw = os.getenv(name) + if raw is None: + return None + raw = raw.strip() + if not raw or raw.lower() in ("auto", "none", ""): + return None + return raw + + +def _default_cache_dir() -> Path: + explicit = os.getenv("WHISPER_CACHE_DIR") + if explicit: + return Path(explicit).expanduser().resolve() + base = os.getenv("XDG_CACHE_HOME") + if base: + return Path(base).expanduser().resolve() / "telegram-mcp" / "whisper" + return Path.home() / ".cache" / "telegram-mcp" / "whisper" + + +@dataclass(frozen=True) +class WhisperConfig: + """Resolved Whisper settings from env vars.""" + + enabled: bool + backend: str # "auto" | "faster_whisper" | "openvino" | "mlx" + device: str # "auto" | "cpu" | "cuda" | "gpu" | "gpu.0" | "gpu.1" | ... + model: str # "tiny" | "base" | "small" | "medium" | "large-v3" | "large-v3-turbo" | ... + language: Optional[str] # ISO 639-1 ("ru", "en", ...) or None for auto-detect + warn_cpu: bool + cache_dir: Path + + +_VALID_BACKENDS = frozenset({"auto", "faster_whisper", "openvino", "mlx"}) + + +def get_config() -> WhisperConfig: + backend = _str_env("WHISPER_BACKEND", "auto").lower() + if backend not in _VALID_BACKENDS: + backend = "auto" + return WhisperConfig( + enabled=_bool_env("WHISPER_ENABLED", True), + backend=backend, + device=_str_env("WHISPER_DEVICE", "auto").lower(), + model=_str_env("WHISPER_MODEL", "base"), + language=_opt_str_env("WHISPER_LANGUAGE"), + warn_cpu=_bool_env("WHISPER_WARN_CPU", True), + cache_dir=_default_cache_dir(), + ) diff --git a/telegram_mcp/voice/detect.py b/telegram_mcp/voice/detect.py new file mode 100644 index 00000000..9c763e54 --- /dev/null +++ b/telegram_mcp/voice/detect.py @@ -0,0 +1,136 @@ +"""Auto-detect best available whisper backend + device for the current host.""" + +from __future__ import annotations + +import importlib.util +import logging +import platform +from typing import List, Tuple + +from .backends.base import VoiceTranscriptionUnavailable +from .config import WhisperConfig + +logger = logging.getLogger(__name__) + + +def _has(module: str) -> bool: + return importlib.util.find_spec(module) is not None + + +def _is_apple_silicon() -> bool: + return platform.system() == "Darwin" and platform.machine().lower() in ("arm64", "aarch64") + + +def _detect_cuda() -> bool: + """Return True iff CUDA is usable for faster-whisper.""" + if _has("torch"): + try: + import torch # type: ignore + + return bool(torch.cuda.is_available()) + except Exception: + pass + if _has("ctranslate2"): + try: + import ctranslate2 # type: ignore + + count = getattr(ctranslate2, "get_cuda_device_count", lambda: 0)() + return count > 0 + except Exception: + pass + return False + + +def _detect_openvino_gpus() -> List[str]: + """Return OpenVINO GPU device names like ['GPU.0', 'GPU.1'], or [].""" + if not _has("openvino"): + return [] + try: + import openvino as ov # type: ignore + + core = ov.Core() + return [d for d in core.available_devices if d.upper().startswith("GPU")] + except Exception as exc: # pragma: no cover — driver/runtime issues + logger.debug("openvino_device_probe_failed", extra={"err": str(exc)}) + return [] + + +def _pick_openvino_device(gpus: List[str], requested: str) -> str: + """Resolve user-requested device against the available OpenVINO GPUs.""" + req = requested.upper() + if req in {d.upper() for d in gpus}: + for d in gpus: + if d.upper() == req: + return d + if req == "GPU" and gpus: + # Prefer the highest-indexed GPU (typically discrete on dual-GPU systems). + return sorted(gpus, key=lambda d: int(d.split(".")[-1]) if "." in d else 0)[-1] + if req == "CPU": + return "CPU" + if gpus: + return sorted(gpus, key=lambda d: int(d.split(".")[-1]) if "." in d else 0)[-1] + return "CPU" + + +def resolve_backend(cfg: WhisperConfig) -> Tuple[str, str]: + """Decide (backend_name, device_name) for the active config. + + Honors explicit cfg.backend / cfg.device when set, otherwise auto-detects. + Raises VoiceTranscriptionUnavailable if nothing usable is installed. + """ + backend = cfg.backend + device = cfg.device + + # Explicit backend pin. + if backend == "mlx": + if not _has("mlx_whisper"): + raise VoiceTranscriptionUnavailable( + "WHISPER_BACKEND=mlx but 'mlx_whisper' is not installed. " + "Install [voice-mlx] extras (Apple Silicon only)." + ) + return "mlx", "mps" + + if backend == "openvino": + if not _has("openvino_genai"): + raise VoiceTranscriptionUnavailable( + "WHISPER_BACKEND=openvino but 'openvino_genai' is not installed. " + "Install [voice-openvino] extras." + ) + gpus = _detect_openvino_gpus() + chosen = _pick_openvino_device(gpus, device if device != "auto" else "GPU") + return "openvino", chosen + + if backend == "faster_whisper": + if not _has("faster_whisper"): + raise VoiceTranscriptionUnavailable( + "WHISPER_BACKEND=faster_whisper but 'faster_whisper' is not installed. " + "Install [voice] extras." + ) + if device == "auto": + device = "cuda" if _detect_cuda() else "cpu" + return "faster_whisper", device + + # backend == "auto" — pick the best available accelerator. + if _is_apple_silicon() and _has("mlx_whisper"): + return "mlx", "mps" + + if _has("faster_whisper") and (device in ("auto", "cuda") and _detect_cuda()): + return "faster_whisper", "cuda" + + if _has("openvino_genai"): + gpus = _detect_openvino_gpus() + if gpus and device != "cpu": + chosen = _pick_openvino_device(gpus, device if device != "auto" else "GPU") + return "openvino", chosen + + if _has("faster_whisper"): + return "faster_whisper", "cpu" + + if _has("openvino_genai"): + # OpenVINO without a GPU is still a fine CPU backend. + return "openvino", "CPU" + + raise VoiceTranscriptionUnavailable( + "No whisper backend installed. Install one of: " + "[voice] (faster-whisper), [voice-openvino] (Intel), [voice-mlx] (Apple Silicon)." + ) diff --git a/tests/test_voice_config.py b/tests/test_voice_config.py new file mode 100644 index 00000000..5716b5eb --- /dev/null +++ b/tests/test_voice_config.py @@ -0,0 +1,85 @@ +"""Tests for telegram_mcp.voice.config — env-driven WhisperConfig.""" + +from __future__ import annotations + +import importlib + +import pytest + + +@pytest.fixture +def reload_config(monkeypatch): + """Reload voice.config so env changes take effect for each test.""" + + def _reload(): + from telegram_mcp.voice import config as cfg_mod + + importlib.reload(cfg_mod) + return cfg_mod.get_config() + + return _reload + + +def _clear(monkeypatch, *names): + for n in names: + monkeypatch.delenv(n, raising=False) + + +def test_defaults_when_no_env(monkeypatch, reload_config): + _clear( + monkeypatch, + "WHISPER_ENABLED", + "WHISPER_BACKEND", + "WHISPER_DEVICE", + "WHISPER_MODEL", + "WHISPER_LANGUAGE", + "WHISPER_WARN_CPU", + "WHISPER_CACHE_DIR", + ) + cfg = reload_config() + assert cfg.enabled is True + assert cfg.backend == "auto" + assert cfg.device == "auto" + assert cfg.model == "base" + assert cfg.language is None + assert cfg.warn_cpu is True + assert "whisper" in str(cfg.cache_dir).lower() + + +def test_disable_via_env(monkeypatch, reload_config): + monkeypatch.setenv("WHISPER_ENABLED", "false") + cfg = reload_config() + assert cfg.enabled is False + + +@pytest.mark.parametrize("val", ["1", "true", "TRUE", "yes", "on"]) +def test_bool_truthy(monkeypatch, reload_config, val): + monkeypatch.setenv("WHISPER_ENABLED", val) + assert reload_config().enabled is True + + +@pytest.mark.parametrize("val", ["0", "false", "no", "off", "anything-else"]) +def test_bool_falsey(monkeypatch, reload_config, val): + monkeypatch.setenv("WHISPER_ENABLED", val) + assert reload_config().enabled is False + + +def test_invalid_backend_falls_back_to_auto(monkeypatch, reload_config): + monkeypatch.setenv("WHISPER_BACKEND", "tensorflow") + assert reload_config().backend == "auto" + + +def test_language_auto_alias(monkeypatch, reload_config): + monkeypatch.setenv("WHISPER_LANGUAGE", "auto") + assert reload_config().language is None + + +def test_explicit_language(monkeypatch, reload_config): + monkeypatch.setenv("WHISPER_LANGUAGE", "ru") + assert reload_config().language == "ru" + + +def test_explicit_cache_dir(monkeypatch, tmp_path, reload_config): + monkeypatch.setenv("WHISPER_CACHE_DIR", str(tmp_path)) + cfg = reload_config() + assert cfg.cache_dir == tmp_path.resolve() diff --git a/tests/test_voice_detect.py b/tests/test_voice_detect.py new file mode 100644 index 00000000..724ded31 --- /dev/null +++ b/tests/test_voice_detect.py @@ -0,0 +1,110 @@ +"""Tests for telegram_mcp.voice.detect — backend selection logic.""" + +from __future__ import annotations + +from pathlib import Path + +import pytest + +from telegram_mcp.voice import detect +from telegram_mcp.voice.backends.base import VoiceTranscriptionUnavailable +from telegram_mcp.voice.config import WhisperConfig + + +def _cfg(backend="auto", device="auto") -> WhisperConfig: + return WhisperConfig( + enabled=True, + backend=backend, + device=device, + model="base", + language=None, + warn_cpu=False, + cache_dir=Path("/tmp/wh"), + ) + + +def test_no_backends_installed_raises(monkeypatch): + monkeypatch.setattr(detect, "_has", lambda _m: False) + with pytest.raises(VoiceTranscriptionUnavailable): + detect.resolve_backend(_cfg()) + + +def test_explicit_mlx_without_install_raises(monkeypatch): + monkeypatch.setattr(detect, "_has", lambda m: m != "mlx_whisper") + with pytest.raises(VoiceTranscriptionUnavailable): + detect.resolve_backend(_cfg(backend="mlx")) + + +def test_explicit_openvino_without_install_raises(monkeypatch): + monkeypatch.setattr(detect, "_has", lambda m: m != "openvino_genai") + with pytest.raises(VoiceTranscriptionUnavailable): + detect.resolve_backend(_cfg(backend="openvino")) + + +def test_explicit_faster_whisper_without_install_raises(monkeypatch): + monkeypatch.setattr(detect, "_has", lambda m: m != "faster_whisper") + with pytest.raises(VoiceTranscriptionUnavailable): + detect.resolve_backend(_cfg(backend="faster_whisper")) + + +def test_auto_picks_mlx_on_apple_silicon(monkeypatch): + monkeypatch.setattr(detect, "_is_apple_silicon", lambda: True) + monkeypatch.setattr(detect, "_has", lambda m: m == "mlx_whisper") + name, dev = detect.resolve_backend(_cfg()) + assert name == "mlx" + assert dev == "mps" + + +def test_auto_picks_cuda_when_available(monkeypatch): + monkeypatch.setattr(detect, "_is_apple_silicon", lambda: False) + monkeypatch.setattr(detect, "_has", lambda m: m == "faster_whisper") + monkeypatch.setattr(detect, "_detect_cuda", lambda: True) + name, dev = detect.resolve_backend(_cfg()) + assert name == "faster_whisper" + assert dev == "cuda" + + +def test_auto_picks_openvino_gpu_over_cpu(monkeypatch): + monkeypatch.setattr(detect, "_is_apple_silicon", lambda: False) + monkeypatch.setattr(detect, "_detect_cuda", lambda: False) + monkeypatch.setattr(detect, "_has", lambda m: m in ("openvino_genai", "faster_whisper")) + monkeypatch.setattr(detect, "_detect_openvino_gpus", lambda: ["GPU.0", "GPU.1"]) + name, dev = detect.resolve_backend(_cfg()) + assert name == "openvino" + assert dev == "GPU.1" # highest-indexed → typically the discrete GPU + + +def test_auto_falls_back_to_faster_whisper_cpu(monkeypatch): + monkeypatch.setattr(detect, "_is_apple_silicon", lambda: False) + monkeypatch.setattr(detect, "_detect_cuda", lambda: False) + monkeypatch.setattr(detect, "_has", lambda m: m == "faster_whisper") + monkeypatch.setattr(detect, "_detect_openvino_gpus", lambda: []) + name, dev = detect.resolve_backend(_cfg()) + assert name == "faster_whisper" + assert dev == "cpu" + + +def test_explicit_device_cpu_skips_openvino_gpu(monkeypatch): + monkeypatch.setattr(detect, "_is_apple_silicon", lambda: False) + monkeypatch.setattr(detect, "_detect_cuda", lambda: False) + monkeypatch.setattr(detect, "_has", lambda m: m in ("openvino_genai", "faster_whisper")) + monkeypatch.setattr(detect, "_detect_openvino_gpus", lambda: ["GPU.0", "GPU.1"]) + name, dev = detect.resolve_backend(_cfg(device="cpu")) + # User asked for cpu — should pick faster-whisper-cpu, not openvino-GPU. + assert name == "faster_whisper" + assert dev == "cpu" + + +def test_pick_openvino_device_specific(monkeypatch): + chosen = detect._pick_openvino_device(["GPU.0", "GPU.1"], "GPU.0") + assert chosen == "GPU.0" + + +def test_pick_openvino_device_generic_gpu_picks_highest(monkeypatch): + chosen = detect._pick_openvino_device(["GPU.0", "GPU.1", "GPU.2"], "GPU") + assert chosen == "GPU.2" + + +def test_pick_openvino_device_no_gpus_returns_cpu(monkeypatch): + chosen = detect._pick_openvino_device([], "GPU") + assert chosen == "CPU" diff --git a/tests/test_voice_facade.py b/tests/test_voice_facade.py new file mode 100644 index 00000000..00d462c1 --- /dev/null +++ b/tests/test_voice_facade.py @@ -0,0 +1,35 @@ +"""Tests for telegram_mcp.voice public facade.""" + +from __future__ import annotations + +import importlib + +import pytest + + +def _reset_voice_state(): + """Force reset the singleton + warning latch between tests.""" + from telegram_mcp import voice as voice_mod + + voice_mod._backend = None + voice_mod._warned_cpu = False + + +def test_disabled_raises(monkeypatch): + monkeypatch.setenv("WHISPER_ENABLED", "false") + from telegram_mcp.voice import config as cfg_mod + + importlib.reload(cfg_mod) + from telegram_mcp import voice as voice_mod + + importlib.reload(voice_mod) + _reset_voice_state() + with pytest.raises(voice_mod.VoiceTranscriptionUnavailable): + voice_mod.get_backend() + + +def test_get_backend_info_keys(): + from telegram_mcp import voice as voice_mod + + info = voice_mod.get_backend_info() + assert 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