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11 Commits
5688769437 ... main

Author SHA1 Message Date
Max P.
79f4156ffa chore(version): bump to 0.6.0
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2025-10-05 20:33:46 +02:00
Max P.
7f4b559644 feat(module): add support for llama-swap API integration 2025-10-05 20:33:27 +02:00
Max P.
98b5ab1f1c chore(version): bump to 0.5.0
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2025-10-05 20:14:16 +02:00
Max P.
e628816ea8 feat(config): enhance Ollama configuration with dynamic path support 2025-10-05 20:13:42 +02:00
Max P.
4e4389a03f chore(version): bump to 0.4.5
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- Update project version from 0.4.4 to 0.4.5
- Prepares for the next release with minor updates
 2025-05-18 20:41:38 +02:00
Max P.
2c0cffe16a fix(worker): adjust timestamp format in journal entries 
- Updates the timestamp format from HH:MM:SS to HH:MM for journal logs
- Simplifies the time representation in generated journal paths
 2025-05-18 20:41:14 +02:00
Max P.
98fc0596d4 chore: bump version to 0.4.4
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Signed-off-by: Max P. <Mail@MPassarello.de>
 2025-05-05 12:02:55 +02:00
Max P.
7059ebda4c refactor(send_cmd): rename config variable for clarity 
- Rename `CONFIGURATION` to `CONFIG` for consistency and brevity.
- Update method call to use dot notation for accessing `socket_path`.

Signed-off-by: Max P. <Mail@MPassarello.de>
 2025-05-05 12:02:51 +02:00
Max P.
46215a8aef feat(dependencies): add pydantic and typing-related packages to poetry.lock
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Signed-off-by: Max P. <Mail@MPassarello.de>
 2025-05-05 12:00:49 +02:00
Max P.
809145f53a feat(project): update version and add pydantic dependency 
- Bump project version from 0.4.2 to 0.4.3.
- Add `pydantic` as a dependency for improved data validation.

Signed-off-by: Max P. <Mail@MPassarello.de>
 2025-05-05 12:00:42 +02:00
Max P.
58b9cb586c feat(libs): integrate Ollama and Whisper clients with config models 
- Add `AppConfig` and `PresetConfig` models using Pydantic for config validation
- Refactor `read_configurations` to return an `AppConfig` instance
- Implement `OllamaClient` for chat-based server interaction
- Implement `WhisperClient` for transcription via Whisper CLI
- Migrate notification utilities to `libs` directory
- Update tray application to use new clients and config structure
- Simplify Whisper and Ollama integration logic in `WhisperWorker`

Signed-off-by: Max P. <Mail@MPassarello.de>
 2025-05-05 12:00:33 +02:00
10 changed files with 410 additions and 99 deletions
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poetry.lock generated
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@@ -1,5 +1,17 @@
# This file is automatically @generated by Poetry 2.1.2 and should not be changed by hand. # This file is automatically @generated by Poetry 2.1.2 and should not be changed by hand.
[[package]]
name = "annotated-types"
version = "0.7.0"
description = "Reusable constraint types to use with typing.Annotated"
optional = false
python-versions = ">=3.8"
groups = ["main"]
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[[package]] [[package]]
name = "certifi" name = "certifi"
version = "2025.4.26" version = "2025.4.26"
@@ -518,6 +530,140 @@ files = [
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annotated-types = ">=0.6.0"
pydantic-core = "2.33.2"
typing-extensions = ">=4.12.2"
typing-inspection = ">=0.4.0"
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email = ["email-validator (>=2.0.0)"]
timezone = ["tzdata ; python_version >= \"3.9\" and platform_system == \"Windows\""]
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{file = "pydantic_core-2.33.2.tar.gz", hash = "sha256:7cb8bc3605c29176e1b105350d2e6474142d7c1bd1d9327c4a9bdb46bf827acc"},
]
[package.dependencies]
typing-extensions = ">=4.6.0,<4.7.0 || >4.7.0"
[[package]] [[package]]
name = "pygments" name = "pygments"
version = "2.19.1" version = "2.19.1"
@@ -745,6 +891,33 @@ urllib3 = ">=1.26.0"
[package.extras] [package.extras]
keyring = ["keyring (>=15.1)"] keyring = ["keyring (>=15.1)"]
[[package]]
name = "typing-extensions"
version = "4.13.2"
description = "Backported and Experimental Type Hints for Python 3.8+"
optional = false
python-versions = ">=3.8"
groups = ["main"]
files = [
{file = "typing_extensions-4.13.2-py3-none-any.whl", hash = "sha256:a439e7c04b49fec3e5d3e2beaa21755cadbbdc391694e28ccdd36ca4a1408f8c"},
{file = "typing_extensions-4.13.2.tar.gz", hash = "sha256:e6c81219bd689f51865d9e372991c540bda33a0379d5573cddb9a3a23f7caaef"},
]
[[package]]
name = "typing-inspection"
version = "0.4.0"
description = "Runtime typing introspection tools"
optional = false
python-versions = ">=3.9"
groups = ["main"]
files = [
{file = "typing_inspection-0.4.0-py3-none-any.whl", hash = "sha256:50e72559fcd2a6367a19f7a7e610e6afcb9fac940c650290eed893d61386832f"},
{file = "typing_inspection-0.4.0.tar.gz", hash = "sha256:9765c87de36671694a67904bf2c96e395be9c6439bb6c87b5142569dcdd65122"},
]
[package.dependencies]
typing-extensions = ">=4.12.0"
[[package]] [[package]]
name = "urllib3" name = "urllib3"
version = "2.4.0" version = "2.4.0"
@@ -766,4 +939,4 @@ zstd = ["zstandard (>=0.18.0)"]
[metadata] [metadata]
lock-version = "2.1" lock-version = "2.1"
python-versions = ">=3.12" python-versions = ">=3.12"
content-hash = "33d6dddddf6b4c9ff020272b1e39c87ac4b85a53683a2929b7e0673ef4a09e0b" content-hash = "095dc8efb8ce84ac67e84e537fe81f42eca53375ddcc2bd267be592efb9232cf"

8
pyproject.toml
View File

@@ -1,12 +1,16 @@
[project] [project]
name = "pyvtt" name = "pyvtt"
version = "0.4.2" version = "0.6.0"
description = "Python Voice to Text + LLMA" description = "Python Voice to Text + LLMA"
authors = [{ name = "Max P.", email = "Mail@MPassarello.de" }] authors = [{ name = "Max P.", email = "Mail@MPassarello.de" }]
license = { text = "MIT" } license = { text = "MIT" }
readme = "README.md" readme = "README.md"
requires-python = ">=3.12" requires-python = ">=3.12"
dependencies = ["pyqt5 (>=5.15.11,<6.0.0)", "requests (>=2.32.3,<3.0.0)"] dependencies = [
"pyqt5 (>=5.15.11,<6.0.0)",
"requests (>=2.32.3,<3.0.0)",
"pydantic (>=2.11.4,<3.0.0)",
]
[tool.poetry] [tool.poetry]
packages = [{ include = "pyvtt", from = "src" }] packages = [{ include = "pyvtt", from = "src" }]

13
pyvtt.settings.sample.json
View File

@@ -2,23 +2,26 @@
"audio_file": "/tmp/pyvtt_recording.wav", "audio_file": "/tmp/pyvtt_recording.wav",
"output_file": "/tmp/pyvtt_transcript.txt", "output_file": "/tmp/pyvtt_transcript.txt",
"whisper_path": "/path/to/whisper-cli", "whisper_path": "/path/to/whisper-cli",
"language": "en",
"socket_path": "/tmp/pyvtt.sock", "socket_path": "/tmp/pyvtt.sock",
"ollama_url": "http://localhost", "ollama_url": "http://localhost",
"ollama_path": "/api/chat",
"ollama_port": 12345, "ollama_port": 12345,
"presets": [ "presets": [
{ {
"name": "Default", "name": "Default",
"language": "en", "language": "en",
"whisper_model": "/path/to/default-whisper-model.bin", "whisper_model": "/path/to/default-whisper-model.bin",
"ollama_model": "default-model", "ollama": "disable"
"ollama_prompt": "Provide a detailed response to the following text:\n\n"
}, },
{ {
"name": "Quick English", "name": "Quick English",
"whisper_model": "/path/to/quick-whisper-model.bin", "whisper_model": "/path/to/quick-whisper-model.bin",
"ollama_model": "quick-model", "ollama_model": "gemma3:4b",
"ollama_prompt": "Quickly correct the following English text for grammar and punctuation:\n\n" "ollama_context": 131072,
"ollama_prompt": [
"Quickly correct the following English text for grammar and punctuation:\n",
"\n"
]
}, },
{ {
"name": "German Correction", "name": "German Correction",

7
src/pyvtt/configuration.py
View File

@@ -2,9 +2,11 @@ import json
import os import os
from pathlib import Path from pathlib import Path
from pyvtt.models.config import AppConfig
DEFAULT_CONFIG_PATH = Path.home() / ".pyvtt.json" DEFAULT_CONFIG_PATH = Path.home() / ".pyvtt.json"
def read_configurations(): def read_configurations() -> AppConfig:
""" """
Reads the configuration settings from a JSON file named 'pyvtt.settings.json' Reads the configuration settings from a JSON file named 'pyvtt.settings.json'
located in the same directory as the script. located in the same directory as the script.
@@ -18,7 +20,8 @@ def read_configurations():
""" """
try: try:
with open(DEFAULT_CONFIG_PATH) as f: with open(DEFAULT_CONFIG_PATH) as f:
return json.load(f) raw_config = json.load(f)
return AppConfig(**raw_config)
except Exception as e: except Exception as e:
print(f"Error reading configurations: {e}") print(f"Error reading configurations: {e}")
raise Exception(f"Error reading configurations: {e}") raise Exception(f"Error reading configurations: {e}")

0
src/pyvtt/notify.py → src/pyvtt/libs/notify.py
View File

103
src/pyvtt/libs/ollama.py Normal file
View File

@@ -0,0 +1,103 @@
import json
import requests
from typing import Union, List, Optional
from pyvtt.libs.notify import notify
from pyvtt.models.config import AppConfig, PresetConfig
class OllamaClient:
def __init__(self, config: AppConfig):
"""
Initialisiert den API-Client (Ollama oder llama-swap) mit Basis-Konfiguration.
"""
self.base_url = config.ollama_url.rstrip("/")
self.port = config.ollama_port
self.path = config.ollama_path or "/api/chat"
# Falls llama-swap (OpenAI-API-Kompatibel), verwende den OpenAI-Pfad
if "v1" in self.path or "completions" in self.path:
self.is_llama_swap = True
else:
self.is_llama_swap = False
def send_chat(self, user_message: str, config: PresetConfig) -> str:
"""
Sendet eine Chat-Anfrage an Ollama oder llama-swap.
"""
if config.ollama and config.ollama.lower() == "disable":
print("[OllamaClient] Ollama ist im Preset deaktiviert.")
return user_message
# Prompt aufbereiten
prompt_str = (
"\n".join(config.ollama_prompt)
if isinstance(config.ollama_prompt, list)
else str(config.ollama_prompt)
)
# === Payload vorbereiten ===
if self.is_llama_swap:
# OpenAI-/llama-swap-kompatibles Format
payload = {
"model": config.ollama_model,
"messages": [
{"role": "system", "content": prompt_str},
{"role": "user", "content": user_message},
],
"stream": False,
}
# Kontextgröße optional hinzufügen
if config.ollama_context:
payload["num_ctx"] = config.ollama_context
else:
# Klassisches Ollama-Format
payload = {
"model": config.ollama_model,
"messages": [
{"role": "system", "content": prompt_str},
{"role": "user", "content": user_message},
],
"options": (
{"num_ctx": config.ollama_context}
if config.ollama_context
else {}
),
"stream": False,
}
endpoint = f"{self.base_url}:{self.port}{self.path}"
# === Anfrage senden ===
try:
headers = {"Content-Type": "application/json"}
if self.is_llama_swap:
headers["Authorization"] = "Bearer no-key"
response = requests.post(endpoint, headers=headers, data=json.dumps(payload))
response.raise_for_status()
json_response = response.json()
# === Antwort extrahieren ===
if self.is_llama_swap:
# OpenAI-kompatible Struktur
content = (
json_response.get("choices", [{}])[0]
.get("message", {})
.get("content", "")
.strip()
)
else:
# Ollama-eigene Struktur
content = (
json_response.get("message", {})
.get("content", "")
.strip()
)
return "\n".join(line.strip() for line in content.splitlines())
except requests.exceptions.RequestException as e:
print(f"[OllamaClient] HTTP-Fehler: {e}")
notify("Fehler", "Kommunikationsfehler mit Ollama / llama-swap!")
return ""

50
src/pyvtt/libs/whisper.py Normal file
View File

@@ -0,0 +1,50 @@
import subprocess
from typing import Optional
from pathlib import Path
from pyvtt.libs.notify import notify
from pyvtt.models.config import AppConfig, PresetConfig
class WhisperClient:
def __init__(self, config: AppConfig):
"""
Initialisiert den Whisper-Client mit der globalen Anwendungskonfiguration.
:param config: AppConfig-Instanz mit Pfaden zur Whisper-Binary, Audio- und Ausgabedatei.
"""
self.whisper_path = config.whisper_path
self.audio_file = config.audio_file
self.output_file = config.output_file
def transcribe(self, config: PresetConfig) -> str:
"""
Führt Whisper (CLI) zur Transkription der Audiodatei aus und gibt das Transkript zurück.
:param config: PresetConfig-Instanz mit Whisper-Modell und Spracheinstellungen.
:return: Das rohe Transkript als String – oder None bei Fehlern.
"""
output_base = self.output_file.replace(".txt", "")
whisper_cmd = [
self.whisper_path,
"-m", config.whisper_model,
"-f", self.audio_file,
"-l", config.language,
"-otxt",
"-of", output_base
]
try:
subprocess.run(whisper_cmd, check=True)
except subprocess.CalledProcessError as e:
print(f"[WhisperClient] Whisper-Ausführungsfehler: {e}")
notify("Fehler", "Ein Fehler mit 'Whisper' ist aufgetreten!")
return ""
try:
with open(self.output_file, "r", encoding="utf-8") as f:
return "\n".join(line.strip() for line in f.readlines())
except Exception as e:
print(f"[WhisperClient] Fehler beim Einlesen der Ausgabedatei: {e}")
notify("Fehler", "Ein Fehler beim Lesen der Whisper-Ausgabe ist aufgetreten!")
return ""

26
src/pyvtt/models/config.py Normal file
View File

@@ -0,0 +1,26 @@
from typing import List, Optional, Union
from pydantic import BaseModel, HttpUrl, Field
class PresetConfig(BaseModel):
name: str
language: str
whisper_model: str
ollama: Optional[str] = None
ollama_model: Optional[str] = None
ollama_context: Optional[int] = None
ollama_prompt: Optional[Union[str, List[str]]] = None
mode: Optional[str] = None
journal_name: Optional[str] = None
class AppConfig(BaseModel):
audio_file: str
output_file: str
whisper_path: str
socket_path: str
ollama_url: str
ollama_path: str
ollama_port: int
journal_path: str
presets: List[PresetConfig]

4
src/pyvtt/send_cmd.py
View File

@@ -4,7 +4,7 @@ import argparse
from pyvtt.configuration import read_configurations from pyvtt.configuration import read_configurations
from typing import Optional from typing import Optional
CONFIGURATION = read_configurations() CONFIG = read_configurations()
def send_cmd(cmd: str, socket_path: str, preset: Optional[str] = None) -> None: def send_cmd(cmd: str, socket_path: str, preset: Optional[str] = None) -> None:
@@ -62,4 +62,4 @@ def main():
args = parser.parse_args() args = parser.parse_args()
send_cmd(args.command, CONFIGURATION["socket_path"], args.preset) send_cmd(args.command, CONFIG.socket_path, args.preset)

123
src/pyvtt/voice_to_text_tray.py
View File

@@ -10,10 +10,12 @@ from PyQt5.QtWidgets import QApplication, QSystemTrayIcon, QMenu, QAction
from PyQt5.QtGui import QIcon from PyQt5.QtGui import QIcon
from PyQt5.QtCore import QThread, pyqtSignal from PyQt5.QtCore import QThread, pyqtSignal
from pyvtt.configuration import read_configurations from pyvtt.configuration import read_configurations
from pyvtt.notify import notify, play_sound from pyvtt.libs.notify import notify, play_sound
from pyvtt.libs.ollama import OllamaClient
from pyvtt.libs.whisper import WhisperClient
CONFIGURATION = read_configurations() CONFIG = read_configurations()
CURRENT_PRESET = CONFIGURATION["presets"][0] # Default to first preset CURRENT_PRESET = CONFIG.presets[0] # Default to first preset
class WhisperWorker(QThread): class WhisperWorker(QThread):
""" """
@@ -31,82 +33,28 @@ class WhisperWorker(QThread):
""" """
finished = pyqtSignal(str) finished = pyqtSignal(str)
def __init__(self):
super().__init__()
self.whisper = WhisperClient(CONFIG)
self.ollama = OllamaClient(CONFIG)
def run(self): def run(self):
CURENT_CONFIGURATION_LOCALE = CONFIGURATION CURENT_CONFIG_LOCALE = CONFIG
CURRENT_PRESET_LOCALE = CURRENT_PRESET CURRENT_PRESET_LOCALE = CURRENT_PRESET
try: try:
# Whisper ausführen raw_result = self.whisper.transcribe(CURRENT_PRESET_LOCALE)
whisper_cmd = [ formatted_result = self.ollama.send_chat(raw_result, CURRENT_PRESET_LOCALE)
CURENT_CONFIGURATION_LOCALE["whisper_path"],
"-m", CURRENT_PRESET_LOCALE["whisper_model"],
"-f", CURENT_CONFIGURATION_LOCALE["audio_file"],
"-l", CURRENT_PRESET_LOCALE["language"],
"-otxt",
"-of", CURENT_CONFIGURATION_LOCALE["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(CURENT_CONFIGURATION_LOCALE["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_LOCALE["ollama"] != "disable":
if isinstance(CURRENT_PRESET_LOCALE["ollama_prompt"], list):
prompt = "\n".join(CURRENT_PRESET_LOCALE["ollama_prompt"])
else:
prompt = CURRENT_PRESET_LOCALE["ollama_prompt"]
payload = {
"model": CURRENT_PRESET_LOCALE["ollama_model"],
"messages": [
{"role": "system", "content": prompt},
{"role": "user", "content": raw_result}
],
"options": {
"num_ctx": CURRENT_PRESET_LOCALE["ollama_context"]
},
"stream": False
}
ollama_endpoint = f"{CURENT_CONFIGURATION_LOCALE['ollama_url']}:{CURENT_CONFIGURATION_LOCALE['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 # Ergebnis ins Clipboard kopieren
if CURRENT_PRESET_LOCALE.get("mode") == "journal": if CURRENT_PRESET_LOCALE.mode == "journal":
today = datetime.date.today().strftime("%Y.%m.%d") today = datetime.date.today().strftime("%Y.%m.%d")
journal_path = os.path.join(CURENT_CONFIGURATION_LOCALE["journal_path"], f"{today} - {CURRENT_PRESET_LOCALE['journal_name']}.md") journal_path = os.path.join(CURENT_CONFIG_LOCALE.journal_path, f"{today} - {CURRENT_PRESET_LOCALE.journal_name}.md")
now = datetime.datetime.now().strftime("%H:%M:%S") now = datetime.datetime.now().strftime("%H:%M")
if not os.path.exists(journal_path): if not os.path.exists(journal_path):
try: try:
with open(journal_path, "w") as f: with open(journal_path, "w") as f:
f.write(f"# {CURRENT_PRESET_LOCALE['journal_name']} - {today}\n\n") f.write(f"# {CURRENT_PRESET_LOCALE.journal_name} - {today}\n\n")
except Exception as e: except Exception as e:
print(f"Journal Erstellungsfehler: {e}") print(f"Journal Erstellungsfehler: {e}")
notify("Fehler", "Ein Fehler beim Erstellen des Journals ist aufgetreten!") notify("Fehler", "Ein Fehler beim Erstellen des Journals ist aufgetreten!")
@@ -157,11 +105,11 @@ class SocketListener(threading.Thread):
def __init__(self, tray_app): def __init__(self, tray_app):
super().__init__(daemon=True) super().__init__(daemon=True)
self.tray_app = tray_app self.tray_app = tray_app
if os.path.exists(CONFIGURATION["socket_path"]): if os.path.exists(CONFIG.socket_path):
os.remove(CONFIGURATION["socket_path"]) os.remove(CONFIG.socket_path)
self.sock = socket.socket(socket.AF_UNIX, socket.SOCK_STREAM) self.sock = socket.socket(socket.AF_UNIX, socket.SOCK_STREAM)
self.sock.bind(CONFIGURATION["socket_path"]) self.sock.bind(CONFIG.socket_path)
os.chmod(CONFIGURATION["socket_path"], 0o666) os.chmod(CONFIG.socket_path, 0o666)
self.sock.listen(1) self.sock.listen(1)
def run(self): def run(self):
@@ -174,8 +122,8 @@ class SocketListener(threading.Thread):
if len(cmd) > 1: if len(cmd) > 1:
data = cmd[0] data = cmd[0]
preset = cmd[1] preset = cmd[1]
if preset in [p["name"] for p in CONFIGURATION["presets"]]: if preset in [p.name for p in CONFIG.presets]:
self.tray_app.set_preset([p["name"] for p in CONFIGURATION["presets"]].index(preset)) self.tray_app.set_preset([p.name for p in CONFIG.presets].index(preset))
else: else:
data = cmd[0] data = cmd[0]
if data == "toggle": if data == "toggle":
@@ -224,8 +172,8 @@ class TrayApp:
# Preset Menü # Preset Menü
self.preset_actions = [] self.preset_actions = []
self.preset_group = QMenu("Presets") self.preset_group = QMenu("Presets")
for i, preset in enumerate(CONFIGURATION["presets"]): for i, preset in enumerate(CONFIG.presets):
action = QAction(preset["name"], self.menu) action = QAction(preset.name, self.menu)
action.setCheckable(True) action.setCheckable(True)
if i == 0: if i == 0:
action.setChecked(True) action.setChecked(True)
@@ -255,8 +203,9 @@ class TrayApp:
def set_preset(self, index): def set_preset(self, index):
global CURRENT_PRESET global CURRENT_PRESET
print(f"Preset gewechselt: {CONFIGURATION['presets'][index]['name']}") selected_preset = CONFIG.presets[index]
CURRENT_PRESET = CONFIGURATION["presets"][index] print(f"Preset gewechselt: {selected_preset.name}")
CURRENT_PRESET = selected_preset
# Nur einer darf gecheckt sein # Nur einer darf gecheckt sein
for i, action in enumerate(self.preset_actions): for i, action in enumerate(self.preset_actions):
action.setChecked(i == index) action.setChecked(i == index)
@@ -266,7 +215,7 @@ class TrayApp:
print("Starte Aufnahme...") print("Starte Aufnahme...")
self.recording_process = subprocess.Popen([ self.recording_process = subprocess.Popen([
"ffmpeg", "-f", "pulse", "-i", "default", "-ar", "16000", "ffmpeg", "-f", "pulse", "-i", "default", "-ar", "16000",
"-ac", "1", CONFIGURATION["audio_file"], "-y", "-loglevel", "quiet" "-ac", "1", CONFIG.audio_file, "-y", "-loglevel", "quiet"
]) ])
notify("Aufnahme", "Aufnahme gestartet!") notify("Aufnahme", "Aufnahme gestartet!")
@@ -294,15 +243,15 @@ class TrayApp:
print(f"Fertig:\n{text}") print(f"Fertig:\n{text}")
def reload_configurations(self): def reload_configurations(self):
global CONFIGURATION, CURRENT_PRESET global CONFIG, CURRENT_PRESET
print("Lade Einstellungen neu...") print("Lade Einstellungen neu...")
CONFIGURATION = read_configurations() CONFIG = read_configurations()
CURRENT_PRESET = CONFIGURATION["presets"][0] # Default to first preset CURRENT_PRESET = CONFIG.presets[0] # Default to first preset
# Update preset menu # Update preset menu
self.preset_group.clear() self.preset_group.clear()
self.preset_actions = [] self.preset_actions = []
for i, preset in enumerate(CONFIGURATION["presets"]): for i, preset in enumerate(CONFIG.presets):
action = QAction(preset["name"], self.menu) action = QAction(preset.name, self.menu)
action.setCheckable(True) action.setCheckable(True)
if i == 0: if i == 0:
action.setChecked(True) action.setChecked(True)
@@ -312,8 +261,8 @@ class TrayApp:
print("Einstellungen erfolgreich neu geladen.") print("Einstellungen erfolgreich neu geladen.")
def cleanup(self): def cleanup(self):
if os.path.exists(CONFIGURATION["socket_path"]): if os.path.exists(CONFIG.socket_path):
os.remove(CONFIGURATION["socket_path"]) os.remove(CONFIG.socket_path)
print("Socket sauber entfernt.") print("Socket sauber entfernt.")
def run(self): def run(self):