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149 lines
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Python

#!/usr/bin/python3
import subprocess
import itertools
import os
import sys
import threading
import time
GET_ALL_PICS_LIST_STRING="find . -iname '*.jpg' -o -iname '*.png' -o -iname '*.jpeg'"
COMPARE_PICS_CMD="compare -metric AE -fuzz 0.1% \"{}\" \"{}\" /dev/null"
IDENTIFY_PIC_CMD="identify \"{}\""
PICS_MAP_SQUSHED = {}
PICS_MAP_SQUSHED_KEYS = []
THREADS_CTX = {
"keys": [],
"estimated": 0,
"num": 2,
"done": []
}
def main():
out = subprocess.Popen(['sh', '-c', GET_ALL_PICS_LIST_STRING],
stdout=subprocess.PIPE, stderr=subprocess.STDOUT)
all_pics_string = out.communicate()[0].decode('utf-8')
all_pics = all_pics_string.split('\n')
print(f"Gathered {len(all_pics)} photos.")
count = 0
try:
with open('./.ddp.csv', 'r') as done_file:
for line in done_file.readlines():
line = line.strip('\n')
if not line:
continue
THREADS_CTX["done"].append(line)
count += 1
except FileNotFoundError as err:
print(err)
print(f"Exclude list for {count} keys")
# I. basenames
pics_map = {}
for pic in all_pics:
key = os.path.basename('.'.join(pic.split('.')[:-1]))
if key not in pics_map:
pics_map.update({key: [pic]})
continue
pics_map[key].append(pic)
print(f"Hashtable for {len(pics_map)} keys.")
# II. sort
pics_map_keys = sorted(pics_map.keys(), key=len)
# III. squash
pics_map_squashed = {}
squash_marker = ['-', ' ', '(']
while pics_map_keys:
key = pics_map_keys.pop(0)
if len(key) < 7:
continue
if not key:
continue
squashed_keys = []
for other_key in pics_map_keys:
if other_key.startswith(key) and other_key[len(key)] in squash_marker:
squashed_keys.append(other_key)
if not squashed_keys:
continue
pics_map_squashed.update({key: pics_map[key]})
for squashed_key in squashed_keys:
pics_map_squashed[key] += pics_map[squashed_key]
pics_map_keys.remove(squashed_key)
print(f"Squashed hashtable to {len(pics_map_squashed)} keys.")
PICS_MAP_SQUSHED.update(pics_map_squashed)
THREADS_CTX["keys"] = [key for key in list(PICS_MAP_SQUSHED.keys()) if key not in THREADS_CTX["done"]]
THREADS_CTX["estimated"] = len(THREADS_CTX["keys"])
threads = [None] * THREADS_CTX["num"]
for i in range(THREADS_CTX["num"]):
threads[i] = threading.Thread(target=thread_function, args=(f"thread_{i}",))
threads[i].start()
try:
while THREADS_CTX["keys"]:
time.sleep(.1)
except KeyboardInterrupt as err:
print("Wait for threads...")
THREADS_CTX["keys"] = []
for i in range(THREADS_CTX["num"]):
threads[i].join()
with open('./.ddp.csv', 'w') as done_file:
for key in THREADS_CTX["done"]:
done_file.write(key + "\n")
def thread_function(name):
try:
prev_key = None
while key := THREADS_CTX["keys"].pop(0):
if prev_key:
THREADS_CTX["done"].append(prev_key)
prev_key = key
pics = PICS_MAP_SQUSHED[key]
if THREADS_CTX["estimated"] % 10 == 0:
print(f"Estimated: {THREADS_CTX['estimated']}")
print(f"{name}: Do {len(pics)} photos: '{pics}'")
THREADS_CTX["estimated"] -= 1
delete_list = []
compars_count = 0
for pic_a, pic_b in itertools.combinations(pics, 2):
if pic_b in delete_list or pic_a in delete_list:
continue
if not os.path.exists(pic_a):
print(f"pic_a doesnt exist: '{pic_a}'")
continue
if not os.path.exists(pic_b):
print(f"pic_b doesnt exist: '{pic_b}'")
continue
compars_count += 1
out = subprocess.Popen(['sh', '-c', COMPARE_PICS_CMD.format(pic_a, pic_b)],
stdout=subprocess.PIPE, stderr=subprocess.STDOUT)
value_string, stderr = out.communicate()
if out.returncode >= 2:
print(f"HERE!!! stdout: {value_string}\nstderr: {stderr}\nreturn code: {out.returncode}")
continue
#diff = float(value_string.decode('utf-8'))
#if diff == 0.:
if out.returncode == 0:
delete_list.append(pic_b)
print(f"{name}: {compars_count} cmps")
if not delete_list:
continue
print(f"Delete: {delete_list}")
for delete_elem in delete_list:
os.remove(delete_elem)
except BaseException as err:
print(f"{name}: {err}")
# Handle last key
if prev_key:
THREADS_CTX["done"].append(prev_key)
if __name__ == '__main__':
main()