88a6434132
- Corrected dropped albums to exactly 8 albums through detailed comparison analysis - Updated dropped albums list (ranks 501-508) with proper albums that were truly removed - Fixed "New in 2023" markings to show only 8 albums (balancing the 8 dropped) - Downloaded cover art for all 8 dropped albums - Removed incorrect cover art files for albums that weren't actually dropped - Updated data files with corrected artist/album name formatting for accurate matching 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
62 lines
No EOL
2.3 KiB
Python
62 lines
No EOL
2.3 KiB
Python
#!/usr/bin/env python3
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"""
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Update the CSV to mark only the correct 8 albums as "New in 2023".
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"""
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import csv
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def main():
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# The correct 8 new albums
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correct_new_albums = {
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491: ('Harry Styles', "Harry's House"),
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466: ('Black Uhuru', 'Red'),
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437: ('Gorillaz', 'Demon Days'),
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430: ('Bad Bunny', 'Un Verano Sin Ti'),
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358: ('Olivia Rodrigo', 'Sour'),
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351: ('SZA', 'SOS'),
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170: ('Taylor Swift', 'Folklore'),
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71: ('Beyonce', 'Renaissance')
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}
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print(f"✅ Correcting to mark only {len(correct_new_albums)} albums as 'New in 2023'")
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# Read current data
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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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# Update statuses
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updated_count = 0
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for album in albums:
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rank = int(album['Rank'])
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# If this rank should be marked as "New in 2023"
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if rank in correct_new_albums:
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expected_artist, expected_album = correct_new_albums[rank]
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# Verify it matches
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if album['Artist'] == expected_artist or expected_album.lower() in album['Album'].lower():
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album['Status'] = 'New in 2023'
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updated_count += 1
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print(f"✅ #{rank} - {album['Artist']} - {album['Album']} -> New in 2023")
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else:
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print(f"⚠️ Rank {rank} mismatch: expected {expected_artist} - {expected_album}, got {album['Artist']} - {album['Album']}")
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# If it's currently marked as "New in 2023" but not in our list, change it
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elif 'New in 2023' in album.get('Status', ''):
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album['Status'] = 'No change'
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print(f"❌ #{rank} - {album['Artist']} - {album['Album']} -> Changed to No change")
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# Write updated 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(albums)
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print(f"\n✅ Updated CSV with {updated_count} albums marked as 'New in 2023'")
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print(f"📁 Saved to: top_500_albums_2023.csv")
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if __name__ == "__main__":
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main() |