feat(pyvtt): add CI pipeline and restructure project

- Add GitHub Actions workflow for building and publishing packages.
- Introduce `pyproject.toml` for project metadata and dependency management.
- Remove `requirements.txt` in favor of Poetry for dependency handling.
- Restructure source files under `src/pyvtt` for better organization.
- Enhance `notify.py` with sound playback and improve error handling.
- Update `voice_to_text_tray.py` to support dynamic configuration reload.
- Add `.vscode/settings.json` for improved IDE configuration.
- Update `.gitignore` to exclude build artifacts.

Signed-off-by: Max P. <Mail@MPassarello.de>

src/pyvtt/voice_to_text_tray.py

@@ -0,0 +1,289 @@
+import sys
+import subprocess
+import os
+import threading
+import socket
+import json
+import requests
+from PyQt5.QtWidgets import QApplication, QSystemTrayIcon, QMenu, QAction
+from PyQt5.QtGui import QIcon
+from PyQt5.QtCore import QThread, pyqtSignal
+from src.pyvtt.configuration import read_configurations
+from pyvtt.notify import notify, play_sound
+
+CONFIGURATION = read_configurations()
+CURRENT_PRESET = CONFIGURATION["presets"][0]  # Default to first preset
+
+class WhisperWorker(QThread):
+    """
+    A PyQt QThread subclass that handles the transcription of audio files using Whisper 
+    and processes the result with Ollama. The final output is copied to the clipboard 
+    and a signal is emitted upon completion.
+    Signals:
+        finished (pyqtSignal): Emitted with the formatted transcription result as a string 
+        when the process is successfully completed.
+    Methods:
+        run():
+            Executes the transcription process using Whisper, sends the result to Ollama 
+            for further processing, and copies the final output to the clipboard. Handles 
+            errors at various stages and provides notifications for failures.
+    """
+    finished = pyqtSignal(str)
+
+    def run(self):
+        try:
+            # Whisper ausführen
+            whisper_cmd = [
+                CONFIGURATION["whisper_path"],
+                "-m", CURRENT_PRESET["whisper_model"],
+                "-f", CONFIGURATION["audio_file"],
+                "-l", CURRENT_PRESET["language"],
+                "-otxt",
+                "-of", CONFIGURATION["output_file"].replace(".txt", "")
+            ]
+            try:
+                subprocess.run(whisper_cmd, check=True)
+            except subprocess.CalledProcessError as e:
+                print(f"Whisper Fehler: {e}")
+                notify("Fehler", "Ein Fehler mit 'Whisper' ist aufgetreten!")
+                return
+            
+            try:
+                with open(CONFIGURATION["output_file"], "r") as f:
+                    raw_result = "\n".join(line.strip() for line in f.readlines())
+            except Exception as e:
+                print(f"Datei Fehler: {e}")
+                notify("Fehler", "Ein Fehler beim Lesen der Whisper-Ausgabe ist aufgetreten!")
+                return
+            
+            print("Whisper Transkript erhalten.")
+
+            # --- An Ollama schicken ---
+            if CURRENT_PRESET["ollama"] != "disable":
+                if isinstance(CURRENT_PRESET["ollama_prompt"], list):
+                    prompt = "\n".join(CURRENT_PRESET["ollama_prompt"])
+                else:
+                    prompt = CURRENT_PRESET["ollama_prompt"]
+                
+                payload = {
+                    "model": CURRENT_PRESET["ollama_model"],
+                    "messages": [
+                        {"role": "system", "content": prompt},
+                        {"role": "user", "content": raw_result}
+                    ],
+                    "options": {
+                        "num_ctx": CURRENT_PRESET["ollama_context"]
+                    },
+                    "stream": False
+                }
+                ollama_endpoint = f"{CONFIGURATION['ollama_url']}:{CONFIGURATION['ollama_port']}/api/chat"
+                response = requests.post(ollama_endpoint, json=payload)
+
+                try:
+                    response.raise_for_status()
+                except requests.exceptions.HTTPError as e:
+                    print(f"HTTP Fehler: {e}")
+                    notify("Fehler", "Ein Fehler bei der Kommunikation mit 'Ollama' ist aufgetreten!")
+                    return
+
+                json_response = response.json()
+                formatted_result = json_response.get("message", {}).get("content", "").strip()
+                formatted_result = "\n".join(line.strip() for line in formatted_result.splitlines())
+                print("Ollama Antwort erhalten.")
+            else:
+                formatted_result = raw_result
+                print("Kein Ollama Prompt angegeben, nur Whisper Ergebnis verwendet.")
+
+            # Ergebnis ins Clipboard kopieren
+            try:
+                subprocess.run(["wl-copy"], input=formatted_result.encode(), check=True)
+            except subprocess.CalledProcessError as e:
+                print(f"Clipboard Fehler: {e}")
+                notify("Fehler", "Ein Fehler beim Kopieren des Ergebnisses ist aufgetreten!")
+                return
+            
+            notify("Spracherkennung", "Transkription abgeschlossen!")
+            play_sound()
+            self.finished.emit(formatted_result)
+
+        except Exception as e:
+            print(f"Fehler: {e}")
+            notify("Fehler", "Ein Fehler ist aufgetreten!")
+            return
+
+class SocketListener(threading.Thread):
+    """
+    A thread-based socket listener for handling inter-process communication
+    via a UNIX domain socket. This class listens for specific commands
+    ("toggle", "start", "stop") sent to the socket and triggers corresponding
+    methods in the provided tray application instance.
+
+    Attributes:
+        tray_app (object): The tray application instance that provides methods
+            for handling recording actions.
+        sock (socket.socket): The UNIX domain socket used for communication.
+
+    Methods:
+        run():
+            Continuously listens for incoming connections on the socket.
+            Processes received commands and invokes the appropriate methods
+            on the tray application instance.
+    """
+    def __init__(self, tray_app):
+        super().__init__(daemon=True)
+        self.tray_app = tray_app
+        if os.path.exists(CONFIGURATION["socket_path"]):
+            os.remove(CONFIGURATION["socket_path"])
+        self.sock = socket.socket(socket.AF_UNIX, socket.SOCK_STREAM)
+        self.sock.bind(CONFIGURATION["socket_path"])
+        os.chmod(CONFIGURATION["socket_path"], 0o666)
+        self.sock.listen(1)
+
+    def run(self):
+        while True:
+            conn, _ = self.sock.accept()
+            with conn:
+                data = conn.recv(1024).decode().strip()
+                if data == "toggle":
+                    self.tray_app.toggle_recording()
+                elif data == "start":
+                    self.tray_app.start_recording()
+                elif data == "stop":
+                    self.tray_app.stop_recording_if_possible()
+
+class TrayApp:
+    """
+    TrayApp is a system tray application that provides voice-to-text functionality. It allows users to manage presets, 
+    start and stop audio recording, and process the recorded audio using a WhisperWorker.
+
+    Attributes:
+        app (QApplication): The main application instance.
+        tray (QSystemTrayIcon): The system tray icon for the application.
+        menu (QMenu): The context menu for the system tray icon.
+        preset_actions (list): A list of QAction objects representing the preset options.
+        preset_group (QMenu): A submenu for managing presets.
+        quit_action (QAction): An action to quit the application.
+        reload_action (QAction): An action to reload configurations.
+        recording_process (subprocess.Popen or None): The process handling audio recording.
+        socket_listener (SocketListener): A listener for socket communication.
+        worker (WhisperWorker or None): A worker thread for processing audio with Whisper.
+
+    Methods:
+        __init__(): Initializes the TrayApp instance, setting up the system tray, menu, and socket listener.
+        set_preset(index): Sets the active preset based on the given index and updates the UI.
+        start_recording(): Starts audio recording using ffmpeg.
+        stop_recording_if_possible(): Stops the audio recording process if it is running.
+        toggle_recording(): Toggles between starting and stopping the audio recording.
+        start_whisper_worker(): Starts a WhisperWorker thread to process the recorded audio.
+        show_result(text): Displays the processed text result from the WhisperWorker.
+        reload_configurations(): Reloads configurations from the settings file and updates the UI.
+        cleanup(): Cleans up resources, such as removing the socket file, before the application exits.
+        run(): Starts the application's event loop.
+    """
+    def __init__(self):
+        self.app = QApplication(sys.argv)
+        self.tray = QSystemTrayIcon(QIcon.fromTheme("audio-input-microphone"))
+        self.menu = QMenu()
+
+        self.app.aboutToQuit.connect(self.cleanup)
+
+        # Preset Menü
+        self.preset_actions = []
+        self.preset_group = QMenu("Presets")
+        for i, preset in enumerate(CONFIGURATION["presets"]):
+            action = QAction(preset["name"], self.menu)
+            action.setCheckable(True)
+            if i == 0:
+                action.setChecked(True)
+            action.triggered.connect(lambda checked, index=i: self.set_preset(index))
+            self.preset_group.addAction(action)
+            self.preset_actions.append(action)
+        self.menu.addMenu(self.preset_group)
+
+        # Reload Configurations
+        self.reload_action = QAction("Einstellungen neu laden")
+        self.reload_action.triggered.connect(self.reload_configurations)
+        self.menu.addAction(self.reload_action)
+
+        # Quit
+        self.quit_action = QAction("Beenden")
+        self.quit_action.triggered.connect(self.app.quit)
+        self.menu.addAction(self.quit_action)
+
+        self.tray.setContextMenu(self.menu)
+        self.tray.setToolTip("Voice to Text")
+        self.tray.show()
+
+        self.recording_process = None
+
+        self.socket_listener = SocketListener(self)
+        self.socket_listener.start()
+
+    def set_preset(self, index):
+        global CURRENT_PRESET
+        print(f"Preset gewechselt: {CONFIGURATION['presets'][index]['name']}")
+        CURRENT_PRESET = CONFIGURATION["presets"][index]
+        # Nur einer darf gecheckt sein
+        for i, action in enumerate(self.preset_actions):
+            action.setChecked(i == index)
+
+    def start_recording(self):
+        if self.recording_process is None:
+            print("Starte Aufnahme...")
+            self.recording_process = subprocess.Popen([
+                "ffmpeg", "-f", "pulse", "-i", "default", "-ar", "16000",
+                "-ac", "1", CONFIGURATION["audio_file"], "-y", "-loglevel", "quiet"
+            ])
+            notify("Aufnahme", "Aufnahme gestartet!")
+
+    def stop_recording_if_possible(self):
+        if self.recording_process:
+            print("Stoppe Aufnahme...")
+            self.recording_process.terminate()
+            self.recording_process.wait()
+            self.recording_process = None
+            notify("Aufnahme", "Aufnahme beendet, verarbeite...")
+            self.start_whisper_worker()
+
+    def toggle_recording(self):
+        if self.recording_process:
+            self.stop_recording_if_possible()
+        else:
+            self.start_recording()
+
+    def start_whisper_worker(self):
+        self.worker = WhisperWorker()
+        self.worker.finished.connect(self.show_result)
+        self.worker.start()
+
+    def show_result(self, text):
+        print(f"Fertig:\n{text}")
+
+    def reload_configurations(self):
+        global CONFIGURATION, CURRENT_PRESET
+        print("Lade Einstellungen neu...")
+        CONFIGURATION = read_configurations()
+        CURRENT_PRESET = CONFIGURATION["presets"][0]  # Default to first preset
+        # Update preset menu
+        self.preset_group.clear()
+        self.preset_actions = []
+        for i, preset in enumerate(CONFIGURATION["presets"]):
+            action = QAction(preset["name"], self.menu)
+            action.setCheckable(True)
+            if i == 0:
+                action.setChecked(True)
+            action.triggered.connect(lambda checked, index=i: self.set_preset(index))
+            self.preset_group.addAction(action)
+            self.preset_actions.append(action)
+        print("Einstellungen erfolgreich neu geladen.")
+
+    def cleanup(self):
+        if os.path.exists(CONFIGURATION["socket_path"]):
+            os.remove(CONFIGURATION["socket_path"])
+        print("Socket sauber entfernt.")
+
+    def run(self):
+        sys.exit(self.app.exec_())
+
+def main():
+    TrayApp().run()