Parallelize hashing, also remove video
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main.py
55
main.py
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@ -2,6 +2,9 @@ import glob
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import os
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import hashlib
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import time
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import traceback
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from multiprocessing import Pool
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import queue
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from PIL import Image, UnidentifiedImageError
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from imagehash import average_hash
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@ -18,7 +21,7 @@ print('ENTER to continue, ctrl+c to cancel.')
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try:
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input()
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except KeyboardInterrupt:
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print('\nCancelled.')
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print('Cancelled.')
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os._exit(0)
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print('Sorting file list by smallest size...')
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@ -36,51 +39,75 @@ for filename in filenames:
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hasher.update(buf)
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digest = hasher.hexdigest()
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if digest in hashes:
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print('Found digest', digest, 'collision for', filename)
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delete.add(filename)
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else:
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hashes.add(digest)
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print('Found', len(delete), 'duplicates by md5 hash.')
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time.sleep(4)
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print('Deduplicating by media fingerprint...')
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def get_image_hash(filename):
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basename = os.path.basename(os.path.dirname(filename))
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try:
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image = Image.open(filename)
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return str(average_hash(image)) + '_image'
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return basename + str(average_hash(image)) + '_image'
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except UnidentifiedImageError:
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return None
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def get_video_hash(filename):
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basename = os.path.basename(os.path.dirname(filename))
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try:
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return str(VideoHash(path=filename).hash_hex) + '_video'
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v = VideoHash(path=filename)
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digest = str(v.hash_hex)
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v.delete_storage_path()
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return basename + digest + '_video'
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except FFmpegFailedToExtractFrames:
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return None
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count = 0
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total = len(filenames)
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for filename in filenames:
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count += 1
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print('Hashing file', count, '/', total, end='\r')
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def hasher(filename):
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if filename in delete: return None
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if filename in delete: continue
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print('Hashing file:', filename)
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try:
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digest = get_image_hash(filename) or get_video_hash(filename)
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digest = get_image_hash(filename)# or get_video_hash(filename)
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except KeyboardInterrupt:
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print('\nCancelled.')
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print('Cancelled.')
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os._exit(0)
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except BaseException as e:
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print()
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print('Exception', e.__class__.__name__, str(e), 'while hashing:')
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print(filename)
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continue
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print(traceback.format_exc())
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return None
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time.sleep(5)
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if not digest: return None
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if not digest: continue
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return (filename, digest)
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with Pool() as pool:
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results = pool.map(hasher, filenames)
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print('Finished hashing.')
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print()
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print('Checking digests:')
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print()
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for result in results:
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if not result: continue
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print(result)
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filename, digest = result
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if digest in hashes:
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print('Found digest', digest, 'collision for', filename)
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delete.add(filename)
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else:
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hashes.add(digest)
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@ -88,6 +115,6 @@ for filename in filenames:
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print()
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print('Found', len(delete), 'total duplicate files.')
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print('Deleting...')
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for dupe in delete:
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for dupe in sorted(list(delete)):
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print('Deleting:', dupe)
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os.remove(dupe)
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