dedu/main.py

121 lines
3.0 KiB
Python

import glob
import os
import hashlib
from PIL import Image, UnidentifiedImageError
import acoustid
import chromaprint
from imagehash import average_hash
from videohash import VideoHash
from videohash.exceptions import FFmpegFailedToExtractFrames
hashes = set()
audio_hashes = []
delete = set()
filenames = [x for x in glob.glob('**', recursive=True) if os.path.isfile(x)]
print('Found', len(filenames), 'files in', os.getcwd() + '. Deduplicate them?')
print('ENTER to continue, ctrl+c to cancel.')
try:
input()
except KeyboardInterrupt:
print('\nCancelled.')
os._exit(0)
print('Sorting file list by size...')
filenames.sort(key=os.path.getsize, reverse=True)
print('Deduplicating by md5 hash...')
for filename in filenames:
# hash first 65536 bytes of each file only
CHUNK_SIZE = 65536
hasher = hashlib.md5()
with open(filename, 'rb') as file:
buf = file.read(CHUNK_SIZE)
hasher.update(buf)
digest = hasher.hexdigest()
if digest in hashes:
delete.add(filename)
else:
hashes.add(digest)
print('Found', len(delete), 'duplicates by md5 hash.')
print('Deduplicating by media fingerprint...')
def get_image_hash(filename):
try:
image = Image.open(filename)
return str(average_hash(image)) + '_image'
except UnidentifiedImageError:
return None
def get_audio_hash(filename):
try:
fp = acoustid.fingerprint_file(filename)[1]
values, _ = chromaprint.decode_fingerprint(fp)
return chromaprint.hash_fingerprint(values)
except acoustid.FingerprintGenerationError:
return None
def get_video_hash(filename):
try:
return str(VideoHash(path=filename).hash_hex) + '_video'
except FFmpegFailedToExtractFrames:
return None
count = 0
total = len(filenames)
for filename in filenames:
count += 1
print('Hashing file', count, '/', total, end='\r')
if filename in delete: continue
try:
digest = get_image_hash(filename) or get_audio_hash(filename) or get_video_hash(filename)
except KeyboardInterrupt:
print('Skipping media hashing.')
break
except BaseException as e:
print()
print('Exception', e.__class__.__name__, str(e), 'while hashing:')
print(filename)
continue
if not digest: continue
if type(digest) == int:
for h in audio_hashes:
if bin(digest ^ h).count('1') <= 5: # TODO adjust?
delete.add(filename)
break
else: # for
audio_hashes.append(digest)
else:
if digest in hashes:
delete.add(filename)
else:
hashes.add(digest)
print()
print()
for dupe in delete:
print(dupe)
print()
print('Found', len(delete), 'total duplicate files. Delete them?')
print('ENTER to continue, ctrl+c to cancel.')
try:
input()
except KeyboardInterrupt:
print('\nCancelled.')
os._exit(0)
print('Deleting...')
for dupe in delete:
os.remove(dupe)