Fix lint warnings: remove unused imports/variables, fix f-strings

Author: Alessio Perilli

src/PP_IntroEnd.py

@@ -1,8 +1,6 @@
 import json
 import logging
-from pathlib import Path
 import re
-import math
 
 # Configure logging
 logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
@@ -58,7 +56,7 @@ def refine_chart_intro_end(sm_file_path, analysis_data_path="analysis_data.json"
             fade_out_start_beat = beat_idx
             break
 
-    logger.info(f"Intro/End Analysis:")
+    logger.info("Intro/End Analysis:")
     logger.info(f"  First Active Beat: {first_active_beat}")
     logger.info(f"  Fade Out Start:    {fade_out_start_beat}")
     logger.info(f"  Last Active Beat:  {last_active_beat}")

src/PP_azioniFinali.py

@@ -23,7 +23,7 @@ def main():
     directory = os.path.dirname(sm_path)
     sm_filename = os.path.basename(sm_path)
 
-    print(f"--- Running Final Actions ---")
+    print("--- Running Final Actions ---")
     print(f"Analyzing file: {sm_filename}")
 
     # 1. Find the MP3 filename by reading the .sm file

src/PP_mute.py

@@ -30,7 +30,7 @@ def __init__(self, sm_input, sm_output, analysis_file):
         self.analysis_file = Path(analysis_file)
 
     def run(self):
-        logger.info(f"🔇 Starting Mute Refiner...")
+        logger.info("🔇 Starting Mute Refiner...")
 
         # 1. Load Analysis
         try:
@@ -153,8 +153,7 @@ def get_rms_at_beat(beat_idx):
                 measures_raw = clean_data_str.split(',')
                 cleaned_measures = []
 
-                total_measures = len(measures_raw)
-                
+
                 for m_idx, m_str in enumerate(measures_raw):
                     rows = [r.strip() for r in m_str.strip().split('\n') if r.strip()]
                     num_rows = len(rows)

src/add_grafic.py

@@ -394,8 +394,8 @@ def validate_image_url(url, min_w=256, min_h=256):
         except Exception:
             pass
         return True, w, h
-    except Exception as e:
-        # print(f"DEBUG: Validation error for {url}: {e}")
+    except Exception:
+        # print(f"DEBUG: Validation error")
         return False, 0, 0
 
 def wikipedia_valid_thumb(query, min_w=256, min_h=256):

src/audioYouTube.py

@@ -96,7 +96,7 @@ def main():
     raw_url = sys.argv[1]
     url = clean_youtube_url(raw_url)
 
-    print(f"\n--- YouTube Audio Downloader ---")
+    print("\n--- YouTube Audio Downloader ---")
     print(f"Target URL: {url}")
 
     # 1. Ask for details

src/calibrazione_manuale.py

@@ -1,7 +1,5 @@
 import os
-import sys
 import time
-import json
 import pygame
 import librosa
 import numpy as np
@@ -138,17 +136,17 @@ def load_audio_analysis(file_path):
     print(f"{Colors.BLUE}⏳ Advanced BPM Analysis (Full Song + Phase Check) in progress...{Colors.ENDC}")
     try:
         # 1. Audio Loading
-        print(f"   Full audio loaded (22050Hz)...")
+        print("   Full audio loaded (22050Hz)...")
         y, sr = librosa.load(file_path, sr=22050)
         total_duration = librosa.get_duration(y=y, sr=sr)
 
         # 2. Onset Envelope
         hop_len = 128
-        print(f"   Computing Onset Envelope...")
+        print("   Computing Onset Envelope...")
         onset_env = librosa.onset.onset_strength(y=y, sr=sr, hop_length=hop_len)
 
         # 3. Generate Candidates
-        print(f"   Generating BPM Candidates (FFT + Autocorr)...")
+        print("   Generating BPM Candidates (FFT + Autocorr)...")
         # We reduce base n_candidates to be more selective
         fft_candidates = get_top_bpm_candidates_fft(onset_env, sr, hop_len, n_candidates=4)
         ac_candidates = get_candidates_autocorr(onset_env, sr, hop_len, n_candidates=4)
@@ -165,7 +163,6 @@ def load_audio_analysis(file_path):
 
         # Generate Variants (with score penalty)
         final_pool = []
-        seen_bpms = []
 
         def add_candidate(bpm, score):
             if not (40 <= bpm <= 250): return
@@ -395,7 +392,6 @@ def generate_tick_sound(freq, duration_sec, sr):
     clock = pygame.time.Clock()
 
     # Playback Time Management
-    music_start_time = time.time()
     playback_offset = 0.0  # Temporal offset due to seeks (forward/backward)
 
     # Volume Control

src/modifica_steps.py

@@ -1,11 +1,8 @@
 import os
-import sys
 import json
 import re
 import random
-import subprocess
 import numpy as np
-import glob
 import traceback
 
 # Color Configuration
@@ -174,7 +171,7 @@ def parse_charts_metadata(self, sm_path):
             # Se ci sono più parti, desc potrebbe contenere ':'
             if len(parts) >= 5:
                 chart_type = parts[0]
-                radar = parts[-1]
+                _ = parts[-1]
                 meter = parts[-2]
                 difficulty = parts[-3]
                 # Descrizione è tutto ciò che sta in mezzo
@@ -278,7 +275,6 @@ def modify_steps(self, measures, analysis_data, is_increase, percentage):
                         row_has_hold_head = True
 
                 # Count active inputs at THIS moment (including newly started ones)
-                active_holds_count_now = sum(1 for x in active_holds if x)
 
                 # How many taps in this row?
                 taps_in_row = cols.count('1')

src/stepmania_generator.py

@@ -268,7 +268,7 @@ def set_tag_val(tag, val, text):
         try:
             if float(curr_sample) <= 0.001:
                  header = set_tag_val("SAMPLESTART", "20.000", header)
-                 print(f"      🔹 SampleStart fixed to: 20.000")
+                 print("      🔹 SampleStart fixed to: 20.000")
         except:
              pass
 
@@ -277,7 +277,7 @@ def set_tag_val(tag, val, text):
         try:
             if not curr_len or float(curr_len) <= 0.001:
                  header = set_tag_val("SAMPLELENGTH", "15.000", header)
-                 print(f"      🔹 SampleLength fixed to: 15.000")
+                 print("      🔹 SampleLength fixed to: 15.000")
         except:
              pass
 

src/support_me.py

@@ -1,5 +1,3 @@
-import os
-import sys
 import webbrowser
 
 def main():