/Python/Python find duplicated zip files

Python find duplicated zip files

#!/usr/bin/env python
# if running in py3, change the shebang, drop the next import for readability (it does no harm in py3)
from __future__ import print_function   # py2 compatibility
from collections import defaultdict
import hashlib
import os
import sys


def chunk_reader(fobj, chunk_size=1024):
    """Generator that reads a file in chunks of bytes"""
    while True:
        chunk = fobj.read(chunk_size)
        if not chunk:
            return
        yield chunk


def get_hash(filename, first_chunk_only=False, hash=hashlib.sha1):
    hashobj = hash()
    file_object = open(filename, 'rb')

    if first_chunk_only:
        hashobj.update(file_object.read(1024))
    else:
        for chunk in chunk_reader(file_object):
            hashobj.update(chunk)
    hashed = hashobj.digest()

    file_object.close()
    return hashed


def check_for_duplicates(paths, hash=hashlib.sha1):
    hashes_by_size = defaultdict(list)  # dict of size_in_bytes: [full_path_to_file1, full_path_to_file2, ]
    hashes_on_1k = defaultdict(list)  # dict of (hash1k, size_in_bytes): [full_path_to_file1, full_path_to_file2, ]
    hashes_full = {}   # dict of full_file_hash: full_path_to_file_string

    for path in paths:
        for dirpath, dirnames, filenames in os.walk(path):
            # get all files that have the same size - they are the collision candidates
            for filename in filenames:
                full_path = os.path.join(dirpath, filename)
                try:
                    # if the target is a symlink (soft one), this will 
                    # dereference it - change the value to the actual target file
                    full_path = os.path.realpath(full_path)
                    file_size = os.path.getsize(full_path)
                    hashes_by_size[file_size].append(full_path)
                except (OSError,):
                    # not accessible (permissions, etc) - pass on
                    continue


    # For all files with the same file size, get their hash on the 1st 1024 bytes only
    for size_in_bytes, files in hashes_by_size.items():
        if len(files) < 2:
            continue    # this file size is unique, no need to spend CPU cycles on it

        for filename in files:
            try:
                small_hash = get_hash(filename, first_chunk_only=True)
                # the key is the hash on the first 1024 bytes plus the size - to
                # avoid collisions on equal hashes in the first part of the file
                # credits to @Futal for the optimization
                hashes_on_1k[(small_hash, size_in_bytes)].append(filename)
            except (OSError,):
                # the file access might've changed till the exec point got here 
                continue

    # For all files with the hash on the 1st 1024 bytes, get their hash on the full file - collisions will be duplicates
    for __, files_list in hashes_on_1k.items():
        if len(files_list) < 2:
            continue    # this hash of fist 1k file bytes is unique, no need to spend cpy cycles on it

        for filename in files_list:
            try: 
                full_hash = get_hash(filename, first_chunk_only=False)
                duplicate = hashes_full.get(full_hash)
                if duplicate:
                    print("Duplicate found: {} and {}".format(filename, duplicate))
                else:
                    hashes_full[full_hash] = filename
            except (OSError,):
                # the file access might've changed till the exec point got here 
                continue


if __name__ == "__main__":
    if sys.argv[1:]:
        check_for_duplicates(sys.argv[1:])
    else:
        print("Please pass the paths to check as parameters to the script")

Source: stackoverflow.com

Similar codes

6 votes253 views2 answers
Python file to array
Python
3 votes157 views1 answer
Endswith python
Python
0 vote211 views1 answer
Python create a grid of points
Python
0 vote202 views1 answer
Django check user admin
Python
2 votes213 views5 answers
Torch.stack
Python
4 votes192 views1 answer
Django listview
Python Django
0 vote198 views1 answer
Py tuple
Python
0 vote237 views1 answer
Python - oordinated universal time
Python
0 vote258 views1 answer
Django date grater
Python Django
0 vote194 views1 answer
Remove specific character from object in pandas column using iloc
Python