a2713e9fb1
- Removed 15 albums incorrectly marked as dropped that are still in main list - Fixed White Album duplication (was listed at both rank 29 and 502) - Beatles albums Sgt. Pepper's (#24) and White Album (#29) are NOT dropped - Final dropped albums: 7 genuinely removed albums (ranks 501-507) - Updated JavaScript validation for correct range (1-507) - Removed unnecessary cover art files for incorrectly marked albums Correctly identifies only truly dropped albums from 2020→2023 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
88 lines
No EOL
3.2 KiB
Python
88 lines
No EOL
3.2 KiB
Python
#!/usr/bin/env python3
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"""
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Fix the dropped albums list by removing albums that are actually still in the main Top 500 list.
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"""
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import csv
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def main():
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# Read current CSV
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albums = []
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with open('top_500_albums_2023.csv', 'r', encoding='utf-8') as file:
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reader = csv.DictReader(file)
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for row in reader:
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albums.append(row)
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# Find albums in main list (ranks 1-500)
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main_albums = {}
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for album in albums:
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rank = int(album['Rank'])
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if rank <= 500:
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key = (album['Artist'], album['Album'])
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main_albums[key] = album
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print(f"📊 Found {len(main_albums)} albums in main Top 500 list")
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# Find incorrectly marked as dropped
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incorrect_drops = []
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correct_drops = []
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for album in albums:
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rank = int(album['Rank'])
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if rank > 500 and album['Status'].startswith('Dropped'):
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key = (album['Artist'], album['Album'])
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if key in main_albums:
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print(f"❌ INCORRECT: {album['Artist']} - {album['Album']} (marked as dropped but is in main list at rank {main_albums[key]['Rank']})")
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incorrect_drops.append(album)
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else:
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correct_drops.append(album)
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print(f"\n🔍 Analysis:")
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print(f" ❌ Incorrectly marked as dropped: {len(incorrect_drops)}")
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print(f" ✅ Correctly marked as dropped: {len(correct_drops)}")
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if incorrect_drops:
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print(f"\n🧹 Removing {len(incorrect_drops)} incorrect dropped entries...")
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# Remove incorrect drops
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fixed_albums = []
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removed_count = 0
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for album in albums:
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rank = int(album['Rank'])
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if rank > 500 and album['Status'].startswith('Dropped'):
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key = (album['Artist'], album['Album'])
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if key not in main_albums:
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# Keep this dropped album (it's correctly dropped)
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fixed_albums.append(album)
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else:
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# Remove this (it's incorrectly marked as dropped)
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removed_count += 1
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print(f" 🗑️ Removed: {album['Artist']} - {album['Album']}")
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else:
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# Keep all main list albums
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fixed_albums.append(album)
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# Renumber the remaining dropped albums
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current_rank = 501
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for album in fixed_albums:
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if int(album['Rank']) > 500:
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album['Rank'] = str(current_rank)
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current_rank += 1
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# Write corrected CSV
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with open('top_500_albums_2023.csv', 'w', newline='', encoding='utf-8') as file:
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fieldnames = ['Rank', 'Artist', 'Album', 'Status', 'Info', 'Description']
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writer = csv.DictWriter(file, fieldnames=fieldnames)
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writer.writeheader()
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writer.writerows(fixed_albums)
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print(f"\n✅ Fixed! Removed {removed_count} incorrect entries")
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print(f"📊 Total albums now: {len(fixed_albums)}")
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print(f" - Main list (1-500): 500 albums")
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print(f" - Correctly dropped (501+): {len(correct_drops)} albums")
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else:
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print(f"\n✅ No fixes needed - all dropped albums are correct!")
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if __name__ == "__main__":
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main() |