def ReadMD5CSV():
import os, MyDef
dropbox_path = '/Users/alicewish/Dropbox'
refer_file_name = '漫画图源MD5表.csv'
refer_file_path = os.path.join(dropbox_path, refer_file_name) # 词典文件的地址
MD5_refer_dict = MyDef.ReadDictB(refer_file_path, True)
MD5_list = []
for file_MD5 in MD5_refer_dict:
MD5_list.append(file_MD5)
return (MD5_refer_dict, MD5_list)
def MD5Table(file_dir):
import time, os, MyDef
start_time = time.time() # 初始时间戳
dropbox_path = '/Users/alicewish/Dropbox'
refer_file_name = '漫画图源MD5表.csv'
refer_file_path = os.path.join(dropbox_path, refer_file_name) # 词典文件的地址
MD5_refer_dict = MyDef.ReadDictB(refer_file_path, True)
# print(MD5_refer_dict)
file_path_check_set = set()
major_key_list = []
output_list = []
# ================读取文件夹内容================
file_list = os.listdir(file_dir) # 获得目录中的内容
# print(file_list)
for file_MD5 in MD5_refer_dict:
file_path = MD5_refer_dict[file_MD5]
file_path_check_set.add(file_path)
for file_name in file_list:
file_path = os.path.join(file_dir, file_name)
if file_path in file_path_check_set:
pass
else:
# file_MD5 = MyDef.HashMD5File(file_path)
file_MD5 = MyDef.md5sum(file_path)
print(file_MD5, file_name)
MD5_refer_dict[file_MD5] = file_path
for file_MD5 in MD5_refer_dict:
file_path = MD5_refer_dict[file_MD5]
file_name = os.path.split(file_path)[1]
major_key = file_name + file_MD5
major_key_list.append(major_key)
major_key_list.sort()
for major_key in major_key_list:
file_MD5 = major_key[-32:]
info_list = [file_MD5, MD5_refer_dict[file_MD5]]
output_list.append(info_list)
head_info = ['MD5', '路径']
MyDef.StoreCSV(output_list, refer_file_path, head_info)
print(MyDef.RunTime(start_time))
def FileWithLink():
import time, os, MyDef
start_time = time.time() # 初始时间戳
# ========================输入区开始========================
output_readline = []
refer_file_path = '/Users/alicewish/Dropbox/漫画图源MD5表.csv'
MD5_dict = MyDef.ReadDictC(refer_file_path, True)
yun_link_file_path = '/Users/alicewish/Dropbox/漫画图源度盘地址表.csv'
yun_link_dict = MyDef.ReadDictB(yun_link_file_path)
file_path_list = []
for key in MD5_dict:
file_path = MD5_dict[key]
file_size = os.path.getsize(file_path)
readable_file_size = sizeof_fmt(file_size)
file_name = os.path.split(file_path)[1]
file_path_list.append(file_path)
if file_path in yun_link_dict:
yun_link = yun_link_dict[file_path]
output_line = "[" + file_name + "](" + yun_link + ") | " + readable_file_size
else:
output_line = "[" + file_name + "]() | " + readable_file_size
print(file_name)
# print(output_line)
output_readline.append(output_line)
output_readline.sort()
output_readline.insert(0, '--- | ---')
output_readline.insert(0, '文件名 | 大小')
for i in range(len(output_readline)):
line = output_readline[i]
if "]()" in line:
line = line[1:].replace("]()", "")
output_readline[i] = line
# ================写入剪贴板================
output_text = '\r\n'.join(output_readline)
MyDef.WriteClip(output_text)
print(MyDef.RunTime(start_time))
def ReadMD5SamplingCSV():
import os, MyDef
dropbox_path = '/Users/alicewish/Dropbox'
refer_file_name = '漫画图源MD5随机分样表.csv'
refer_file_path = os.path.join(dropbox_path, refer_file_name)
return MyDef.ReadDictB(refer_file_path)