Clean up unused imports and variables, remove redundant code, and add ruff as a dev dependency.

pdf_cleaner.py

@@ -1,11 +1,7 @@
 #!/usr/bin/env -S uv run
 
 import os
-import shutil
 import subprocess
-from pathlib import Path
-from typing import List, Tuple
-
 import click
 import cv2
 import img2pdf
@@ -13,7 +9,6 @@ import numpy as np
 from pdf2image import convert_from_path
 
 import settings
-from settings import OptimizationLevel
 from PIL import Image
 import concurrent.futures
 
@@ -23,8 +18,6 @@ class Settings:
     OPTIPNG_OPTIMIZATION_LEVEL = 7
     PDF_BORDER_SIZE = 50
 
-settings = Settings()
-
 def ensure_temp_dir():
     """Ensure temporary directory exists and return its path."""
     temp_dir = "temp_processed_images"
@@ -282,7 +275,7 @@ def run_optipng(file_path: str) -> bool:
         bool: True if successful, False otherwise
     """
     try:
-        result = subprocess.run(
+        subprocess.run(
             ['optipng', f'-o{settings.OPTIPNG_OPTIMIZATION_LEVEL}', file_path],
             capture_output=True,
             text=True,
@@ -307,13 +300,12 @@ def optimize(level):
         2: Level 1 + convert to 1-bit monochrome
         3: Level 2 + optipng optimization
     """
-    temp_dir = ensure_temp_dir()
     temp_files = get_temp_files()
     if not temp_files:
         print("No pages found in temporary directory. Run 'extract' first.")
         return
     
-    opt_level = OptimizationLevel(level)
+    opt_level = settings.OptimizationLevel(level)
     
     total_files = len(temp_files)
     successful = {
@@ -325,10 +317,10 @@ def optimize(level):
     print(f"Processing {total_files} images at optimization level {level}...")
     
     # Step 1: Convert to monochrome if level >= 2
-    if int(opt_level) >= int(OptimizationLevel.MONOCHROME):
+    if int(opt_level) >= int(settings.OptimizationLevel.MONOCHROME):
         print("\nConverting to monochrome...")
         with concurrent.futures.ThreadPoolExecutor() as executor:
-            futures = {executor.submit(convert_to_monochrome, file_path, (opt_level == OptimizationLevel.MONOCHROME)): file_path for file_path in temp_files}
+            futures = {executor.submit(convert_to_monochrome, file_path, (opt_level == settings.OptimizationLevel.MONOCHROME)): file_path for file_path in temp_files}
             for future in concurrent.futures.as_completed(futures):
                 file_path = futures[future]
                 try:
@@ -343,7 +335,7 @@ def optimize(level):
     # Step 2: Always trim whitespace
     print("\nTrimming whitespace from images...")
     with concurrent.futures.ThreadPoolExecutor() as executor:
-        futures = {executor.submit(trim_whitespace, file_path, (opt_level == OptimizationLevel.TRIM)): file_path for file_path in temp_files}
+        futures = {executor.submit(trim_whitespace, file_path, (opt_level == settings.OptimizationLevel.TRIM)): file_path for file_path in temp_files}
         for future in concurrent.futures.as_completed(futures):
             file_path = futures[future]
             try:
@@ -356,7 +348,7 @@ def optimize(level):
                 print(f"{os.path.basename(file_path)} generated an exception: {exc}")
     
     # Step 3: Run optipng if level = 3
-    if opt_level == OptimizationLevel.FULL:
+    if opt_level == settings.OptimizationLevel.FULL:
         if check_optipng_installed():
             print("\nOptimizing PNG files with optipng...")
             with concurrent.futures.ThreadPoolExecutor() as executor:
@@ -377,9 +369,9 @@ def optimize(level):
     # Print summary
     print("\nOptimization complete!")
     print(f"Successfully trimmed: {successful['trim']}/{total_files} images")
-    if int(opt_level) >= int(OptimizationLevel.MONOCHROME):
+    if int(opt_level) >= int(settings.OptimizationLevel.MONOCHROME):
         print(f"Successfully converted to monochrome: {successful['monochrome']}/{total_files} images")
-    if opt_level == OptimizationLevel.FULL and check_optipng_installed():
+    if opt_level == settings.OptimizationLevel.FULL and check_optipng_installed():
         print(f"Successfully optimized with optipng: {successful['optipng']}/{total_files} images")
 
 @cli.command()