blitztext-app-linux/linux/blitztext/daemon.py
mARTin-B78 83d4143e83 Add Blitztext for Linux v1.0.0 — native dictation tool
The upstream app is macOS-only (Swift/SwiftUI, CoreML/WhisperKit) and can't
run on Linux or in a container. This adds a native host tool under linux/ that
reproduces the workflow: focus any text field, press a hotkey, speak, and the
optionally-rewritten text is typed into that field.

- Engine: pynput global hotkeys → mic record → local faster-whisper →
  optional OpenAI-compatible rewrite → xdotool typing into the focused window
- Frontends: system tray (AppIndicator, default), tkinter control panel,
  and headless modes
- Config-driven workflows in ~/.config/blitztext/config.toml with per-workflow
  prompt/model/temperature overrides
- Packaging: install.sh, requirements.txt, systemd user unit
- Targets X11; local transcription runs CPU int8 on this arm64 host

See linux/CHANGELOG.md and linux/README.md for details.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-03 22:44:28 +02:00

172 lines
7.0 KiB
Python

"""Hotkey-driven engine: toggle recording per workflow, then transcribe + deliver.
Used by both the headless CLI (`run`) and the tkinter GUI. A status callback
lets the GUI reflect each phase; desktop notifications fire regardless.
"""
from __future__ import annotations
import sys
import threading
from typing import Callable
from .config import Config, Workflow
from .notify import notify
from .paste import active_window_id, deliver
from .recorder import Recording, detect_recorder
from .rewrite import RewriteError, rewrite
from .transcribe import Transcriber
# status_cb(state, workflow_name, message)
# state in {"loading", "idle", "recording", "busy", "done", "error"}
StatusCallback = Callable[[str, str | None, str], None]
class Daemon:
def __init__(self, cfg: Config, status_cb: StatusCallback | None = None):
self.cfg = cfg
self.status_cb = status_cb
self._lock = threading.Lock()
self._recording: Recording | None = None
self._active_workflow: Workflow | None = None
self._target_window: str | None = None
self._busy = False
self._listener = None
self.recorder_name = detect_recorder(cfg.recorder)
self.transcriber: Transcriber | None = None
# -- feedback -------------------------------------------------------------
def _notify(self, title: str, body: str = "", urgency: str = "normal") -> None:
notify(title, body, urgency=urgency, enabled=self.cfg.notify)
def _emit(self, state: str, workflow: str | None = None, message: str = "") -> None:
if self.status_cb:
try:
self.status_cb(state, workflow, message)
except Exception: # noqa: BLE001 - never let UI errors break the engine
pass
# -- model load (slow; call off the UI thread) ----------------------------
def prepare(self) -> None:
self._emit("loading", None, f"Loading Whisper '{self.cfg.model}'")
self._notify("Loading model…", f"Whisper '{self.cfg.model}' ({self.cfg.device})")
self.transcriber = Transcriber(
model=self.cfg.model,
device=self.cfg.device,
compute_type=self.cfg.compute_type,
beam_size=self.cfg.beam_size,
)
self._emit("idle", None, "Ready")
@property
def ready(self) -> bool:
return self.transcriber is not None
@property
def is_recording(self) -> bool:
return self._recording is not None
# -- hotkey / button handler ----------------------------------------------
def toggle(self, workflow: Workflow) -> None:
"""Called on each trigger: start recording, or stop + process."""
with self._lock:
if not self.ready:
self._notify("Please wait", "Model still loading…", "low")
return
if self._busy:
self._notify("Busy", "Still processing the last clip…", "low")
return
if self._recording is None:
self._target_window = active_window_id()
self._recording = Recording(self.recorder_name)
self._active_workflow = workflow
self._emit("recording", workflow.name, "Recording…")
self._notify(f"{workflow.name}", "Recording… trigger again to stop.")
return
rec, wf, win = self._recording, self._active_workflow, self._target_window
self._recording = None
self._active_workflow = None
self._busy = True
audio_path = rec.stop()
threading.Thread(target=self._process, args=(audio_path, wf, win), daemon=True).start()
# -- worker ---------------------------------------------------------------
def _process(self, audio_path, workflow: Workflow, window_id) -> None:
try:
self._emit("busy", workflow.name, "Transcribing…")
self._notify(f"{workflow.name}", "Transcribing…")
text = self.transcriber.transcribe(audio_path, language=self.cfg.language)
if not text:
self._emit("idle", workflow.name, "No speech detected")
self._notify("Nothing heard", "No speech detected.", "low")
return
if workflow.mode == "rewrite" and workflow.prompt:
self._emit("busy", workflow.name, "Rewriting…")
self._notify(f"{workflow.name}", "Rewriting…")
try:
text = rewrite(
text,
workflow.prompt,
base_url=self.cfg.base_url,
api_key=self.cfg.api_key,
model=workflow.model or self.cfg.rewrite_model,
temperature=workflow.temperature if workflow.temperature is not None else self.cfg.temperature,
timeout=self.cfg.timeout,
)
except RewriteError as exc:
self._emit("error", workflow.name, str(exc))
self._notify("Rewrite failed", str(exc), "critical")
return
deliver(
text,
mode=self.cfg.output,
window_id=window_id,
type_delay_ms=self.cfg.type_delay_ms,
)
self._emit("done", workflow.name, text)
self._notify(f"{workflow.name}", text[:80] + ("" if len(text) > 80 else ""))
except Exception as exc: # noqa: BLE001 - surface any failure
self._emit("error", workflow.name, str(exc))
self._notify("Error", str(exc), "critical")
print(f"[blitztext] error: {exc}", file=sys.stderr)
finally:
audio_path.unlink(missing_ok=True)
with self._lock:
self._busy = False
self._emit("idle", None, "Ready")
# -- hotkeys --------------------------------------------------------------
def start_hotkeys(self):
"""Register global hotkeys non-blocking; returns the pynput listener."""
from pynput import keyboard
mapping = {wf.hotkey: (lambda wf=wf: self.toggle(wf)) for wf in self.cfg.workflows}
self._listener = keyboard.GlobalHotKeys(mapping)
self._listener.start()
return self._listener
def stop_hotkeys(self) -> None:
if self._listener is not None:
self._listener.stop()
self._listener = None
# -- headless run loop ----------------------------------------------------
def run(self) -> None:
self.prepare()
lines = "\n".join(f" {wf.hotkey}{wf.name}" for wf in self.cfg.workflows)
print(f"[blitztext] ready. Recorder: {self.recorder_name}. Hotkeys:\n{lines}", file=sys.stderr)
self._notify("Blitztext ready", "Focus a text field and press a hotkey.")
from pynput import keyboard
mapping = {wf.hotkey: (lambda wf=wf: self.toggle(wf)) for wf in self.cfg.workflows}
with keyboard.GlobalHotKeys(mapping) as listener:
listener.join()