43 lines
1.4 KiB
Python
43 lines
1.4 KiB
Python
import pathlib
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import argparse
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from numpy import source
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import pandas as pd
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if __name__ == "__main__":
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parser = argparse.ArgumentParser(description='Deal with duplicate files in synology')
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parser.add_argument('-s', '--source',
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type=str,
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help='csv file to the directory to be de-duplicate')
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parser.add_argument('-t', '--target',
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type=str,
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help='csv file to the directory that be compared')
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args = parser.parse_args()
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csv_source = args.source
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csv_target = args.target
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df_source = pd.DataFrame(pd.read_csv(csv_source, index_col='Index', dtype={'NumberOfLinks':'int', 'inode':'int'}))
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df_target = pd.DataFrame(pd.read_csv(csv_target, index_col='Index', dtype={'NumberOfLinks':'int', 'inode':'int'}))
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df_filtered = pd.DataFrame()
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for index, row in df_source.iterrows():
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checksum = row['CheckSum']
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print(checksum)
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for yrow in df_target.CheckSum:
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if checksum == yrow:
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print(row)
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df_filtered = df_filtered.append(row)
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print("Found Duplicate")
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print(df_filtered)
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print("Source Directory")
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print(df_source)
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print("Target")
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print(df_target)
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for row in df_filtered.Path:
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p = pathlib.Path(row)
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print(str(p) + ": " + str(p.exists())) |