Centralize constants

src/aiprocess.py

@@ -6,11 +6,12 @@ import os
 import sys
 import urllib.request
 from dataclasses import dataclass
-from pathlib import Path
 from typing import Any, Callable, cast
 
 from llama_cpp import Llama, llama_cpp as llama_cpp_lib  # type: ignore[import-not-found]
 
+from constants import LLM_LANGUAGE, MODEL_DIR, MODEL_NAME, MODEL_PATH, MODEL_URL
+
 
 SYSTEM_PROMPT = (
     "You are an amanuensis. Rewrite the user's dictated text into clean, grammatical prose.\n\n"
@@ -26,14 +27,6 @@ SYSTEM_PROMPT = (
     "   - \"let's ask Bob, I mean Janice, let's ask Janice\" -> \"let's ask Janice\"\n"
 )
 
-MODEL_NAME = "Llama-3.2-3B-Instruct-Q4_K_M.gguf"
-MODEL_URL = (
-    "https://huggingface.co/bartowski/Llama-3.2-3B-Instruct-GGUF/resolve/main/"
-    "Llama-3.2-3B-Instruct-Q4_K_M.gguf"
-)
-MODEL_DIR = Path.home() / ".cache" / "lel" / "models"
-MODEL_PATH = MODEL_DIR / MODEL_NAME
-
 
 class LlamaProcessor:
     def __init__(self, verbose=False):

src/config.py

@@ -2,6 +2,8 @@ import json
 from dataclasses import dataclass, field
 from pathlib import Path
 
+from constants import DEFAULT_CONFIG_PATH
+
 
 @dataclass
 class Config:
@@ -11,13 +13,9 @@ class Config:
     injection: dict = field(default_factory=lambda: {"backend": "clipboard"})
 
 
-def default_path() -> Path:
-    return Path.home() / ".config" / "lel" / "config.json"
-
-
 def load(path: str | None) -> Config:
     cfg = Config()
-    p = Path(path) if path else default_path()
+    p = Path(path) if path else DEFAULT_CONFIG_PATH
     if p.exists():
         data = json.loads(p.read_text(encoding="utf-8"))
         if any(k in data for k in ("daemon", "recording", "stt", "injection")):

src/constants.py

@@ -0,0 +1,17 @@
+from pathlib import Path
+
+
+DEFAULT_CONFIG_PATH = Path.home() / ".config" / "lel" / "config.json"
+RECORD_TIMEOUT_SEC = 300
+STT_LANGUAGE = "en"
+TRAY_UPDATE_MS = 250
+ASSETS_DIR = Path(__file__).parent / "assets"
+
+MODEL_NAME = "Llama-3.2-3B-Instruct-Q4_K_M.gguf"
+MODEL_URL = (
+    "https://huggingface.co/bartowski/Llama-3.2-3B-Instruct-GGUF/resolve/main/"
+    "Llama-3.2-3B-Instruct-Q4_K_M.gguf"
+)
+MODEL_DIR = Path.home() / ".cache" / "lel" / "models"
+MODEL_PATH = MODEL_DIR / MODEL_NAME
+LLM_LANGUAGE = "en"

src/desktop_x11.py

@@ -3,7 +3,6 @@ from __future__ import annotations
 import logging
 import threading
 import warnings
-from pathlib import Path
 from typing import Callable, Iterable
 
 import gi
@@ -20,9 +19,8 @@ except ValueError:
 
 from gi.repository import GLib, Gdk, Gtk  # type: ignore[import-not-found]
 
+from constants import ASSETS_DIR, TRAY_UPDATE_MS
 
-ASSETS_DIR = Path(__file__).parent / "assets"
-TRAY_UPDATE_MS = 250
 
 MOD_MAP = {
     "shift": X.ShiftMask,

src/leld.py

@@ -13,6 +13,7 @@ import gi
 from faster_whisper import WhisperModel
 
 from config import Config, load, redacted_dict
+from constants import RECORD_TIMEOUT_SEC, STT_LANGUAGE
 from recorder import start_recording, stop_recording
 from aiprocess import LlamaProcessor
 from desktop import get_desktop_adapter
@@ -26,8 +27,6 @@ class State:
     OUTPUTTING = "outputting"
 
 
-RECORD_TIMEOUT_SEC = 300
-STT_LANGUAGE = "en"
 
 
 def _compute_type(device: str) -> str: