36 lines
1.3 KiB
Python
36 lines
1.3 KiB
Python
import csv
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def read_missing_textures(file_path):
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with open(file_path, 'r') as file:
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return [line.strip().split('/')[-1] for line in file.readlines()]
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def read_conversion_table(file_path):
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with open(file_path, 'r') as file:
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return list(csv.reader(file))
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def find_outstanding_entries(missing_textures, conversion_table):
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outstanding_entries = []
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for row in conversion_table:
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if row[1] in missing_textures:
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outstanding_entries.append(row)
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return outstanding_entries
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def write_outstanding_entries(file_path, outstanding_entries):
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with open(file_path, 'w', newline='') as file:
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writer = csv.writer(file)
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writer.writerows(outstanding_entries)
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def main():
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missing_textures_file = './missing_textures_filtered.txt'
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conversion_table_file = './Conversion_Table.csv'
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output_file = './Conversion_Table_Outstanding.csv'
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missing_textures = read_missing_textures(missing_textures_file)
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conversion_table = read_conversion_table(conversion_table_file)
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outstanding_entries = find_outstanding_entries(missing_textures, conversion_table)
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write_outstanding_entries(output_file, outstanding_entries)
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print("Outstanding conversion table entries written to:", output_file)
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if __name__ == "__main__":
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main() |