def read_file(self):
"""
通过路径读取文件并且转换为list[Access]
如果路径不是文件，抛出异常
"""
try:
context = self.__file_check__("rb").read()
decrypted = AES_Encrypt().decrypt_by_aes(context, self.password)
access_list = []
for access in json.loads(decrypted):
access_list.append(
Access(access["tag"], access["username"],
access["password"], access["url"]))
except (IOError, ValueError, KeyError):
raise
return access_list
def __show__(self, source):
result = ""
if source:
access_list = [Access("标签", "用户名", "密码", "网址")]
if type(source) is list:
access_list += source
elif type(source) is Access:
access_list.append(source)
# 找到每个列最长的属性，用来确定列宽
columns = [0, 0, 0, 0]
for access in access_list:
loop = 0
# 每个半角空格作为一个长度单位，汉字的长度单位是两个，所以长度为字符串长度+汉字的个数
for v in access.__dict__.values():
length = len(v) + len(re.findall(u"[\u4e00-\u9fa5]", v))
if length > columns[loop]:
columns[loop] = length
loop += 1
columns = [i + 4 for i in columns]
# 生成打印字符串
result = ""
for access in access_list:
for i in columns:
result += "+" + "—" * i
result += "+\n"
loop = 0
for v in access.__dict__.values():
length = len(v) + len(re.findall(u"[\u4e00-\u9fa5]", v))
temp = (columns[loop] - length) / 2
left = int(temp)
right = math.ceil(temp)
result += "|" + " " * left + str(v) + " " * right
loop += 1
result += "|\n"
for i in columns:
result += "+" + "—" * i
result += "+\n"
print(result)
self.__file_check__("wb").write(encrypted)
except IOError as e:
raise e
def __file_check__(self, file_mode: str):
try:
file_obj = open(self.file_path, file_mode)
except IOError as e:
raise e
return file_obj
if __name__ == "__main__":
converter = File_Converter(r"PasswordManger\test", "FuckYou")
# 生成数据并写入文件
access_list = [
Access("tag{0}".format(i), "username{0}".format(i),
"password{0}".format(i), "url{0}".format(i))
for i in range(1, 11)
]
converter.write_file(access_list)
# 读取数据并打印
access_list = converter.read_file()
for access in access_list:
print("tag:{tag},username:{username},password:{password},url:{url}".
format(tag=access.tag,
username=access.username,
password=access.password,
url=access.url))
import multiprocessing
import threading
import tensorflow as tf
from Access import Access
from Framework import ExplorerFramework
NUMS_CPU = multiprocessing.cpu_count()
state_size = 4
action_size = 2
tf.reset_default_graph()
sess = tf.Session()
with tf.device("/cpu:0"):
A = Access(state_size, action_size)
F_list = []
for i in range(NUMS_CPU):
F_list.append(ExplorerFramework(A, 'W%i' % i, state_size, action_size))
COORD = tf.train.Coordinator()
sess.run(tf.global_variables_initializer())
threads_list = []
for ac in F_list:
job = lambda: ac.run(sess)
t = threading.Thread(target=job)
t.start()
threads_list.append(t)
COORD.join(threads_list)
