我有几个python类，用于帮助组织项目的数据。我需要两个独立的课程副本才能获得最终结果。但是，当我制作两个班级的副本时，他们似乎并不独立，我不知道为什么。结构令人困惑，但我似乎无法通过一个较短的例子来重现我的问题，所以我只会包括我所做的事情，我很抱歉它很大，而且可能没有完全正确完成。
我确信这只是一件简单的事情，我忽略了。我以为我在python上很体面，但我是自学成才，所以可能是我错过了什么。
from pcapfile import *
"""This should be working fine"""
class Packet:
# This is just a container class to keep everything organized
def __init__(self, src, dst):
self.src = src
self.dst = dst
"""This works"""
# built on a dictionary with two unordered keys
# use to store ip pairs as one entry
class MultiKeyDict:
items = {}
def get_item(self, key1, key2):
if key1 != key2:
if (key1, key2) in self.items:
# return Item, and True flag for correct order
return self.items[(key1, key2)], True
else:
# return item, and false flag for wrong order. cause a key error on purpose if not
return self.items[key2, key1], False
else:
print("Error, Keys cannot be equal")
err = self.items[(9, 9, 9)] # cause error on purpose
# test for existence both ways
def exists(self, key1, key2):
if (key1, key2) in self.items or (key2, key1) in self.items:
return True
else:
return False
def get_if_exists(self, key1, key2):
if self.exists(key1, key2):
return self.get_item(key1, key2)
else:
return False, False
def insert_item(self, key1, key2, value):
if key1 != key2:
self.items[(key1, key2)] = value
else:
print("Error, Keys cannot be equal")
err = self.items[(9, 9, 9)] # cause error on purpose
def update_item(self, key1, key2, value):
i, f = self.get_item(key1, key2)
if f:
self.insert_item(key1, key2, value)
else:
self.insert_item(key2, key1, value)
def get_all_keys(self):
return self.items.keys()
def __str__(self):
rbuilder = "{"
for _ in self.items:
rbuilder += str(_) + ":" + str(self.items[_]) + ","
return rbuilder + "}"
"""I think this works"""
# combination of packets, forming a history list, and running total of counts
# creation initializes first packet
class Flow:
def __init__(self, pack, max=10):
self.__max__ = max
self.src = pack.src # initial source and destination
self.dst = pack.dst
self.total_packets = 1
self.hist = []
self.ctr = 1
self.first_order = True # flag to tell in original order, true if yes, false if no
self.sprt = 0 # for training only, will need to update manually
# to be able to unpack in MultiKeyDict with *(Flow.get_keys())
def get_keys(self):
return (self.src, self.dst)
def update(self):
if self.ctr < self.__max__: # update if under max ctr value, otherwise do nothing
self.ctr += 1
self.total_packets += 1
def reverse(self):
self.hist.append(self.ctr)
self.first_order = not self.first_order # flip reversed flag
self.ctr = 0
self.update()
def get_hist(self, order=0):
if order == 0:
return self.hist
else:
return self.hist[-order:]
def __str__(self):
return str((self.get_hist(), self.ctr))
# the goal of this is to make an object that I can throw a packet
# at and it will update the appropriate flow in a MultiKeyDict
# should be able to use this for both training matrix-es, and testing live
class FlowDictionary:
flows = MultiKeyDict()
# find or create entry in self.flows for that specific flow
def update(self, pack):
f, r = self.flows.get_if_exists(pack.src, pack.dst)
if f: # already exists, just need to update
if f.first_order and pack.src == f.src: # flow (f) is in original order, and packet src matches
f.update()
# print('option1')
elif f.first_order and pack.src == f.dst: # flow (f) is in original order, and packer src matches flow dst
f.reverse()
# print('option2')
elif not f.first_order and pack.src == f.dst: # flow is backwards and so is packet
f.update()
# print('option3')
elif not f.first_order and pack.src == f.src: # flow is backwards, but packet is forwards
f.reverse()
# print('option4')
else: # doesn't exist, need to add
self.flows.insert_item(pack.src, pack.dst, Flow(pack))
def get_keys_with_histories(self, order=''): # returns all full length histories if no order, all order length if order
hist_list = []
if order == '':
for _ in self.flows.get_all_keys():
hist_list.append((_, self.flows.get_item(*_)[0].get_hist(), self.flows.get_item(*_)[0].ctr))
# print((_, self.flows.get_item(*_)[0].get_hist()))
# hist_list.append((self.flows.get_item(*(_))))
else:
for _ in self.flows.get_all_keys():
hist_list.append((_, self.flows.get_item(*_)[0].get_hist(order), self.flows.get_item(*_)[0].ctr))
# print((_, self.flows.get_item(*_)[0].get_hist(order)))
# hist_list.append((self.flows.get_item(*(_))))
return hist_list
def get_history_segments(self, order):
full_hist_list = self.get_keys_with_histories()
full_hist_list = [[0]*(order-1)+i[1] for i in full_hist_list]
return full_hist_list
# built to read in a file with a specific order into a flowDictionary, and store the
# matrix trained on it
"""Still needs fixed"""
class TrainingMatrix:
def __init__(self, order, file):
self.order = order
self.train_on_file(file)
# look for, and add any additional packets to the flow dict,
# updating and flows already in there
def train_on_file(self, file):
pass
def build_matrix(self, order):
pass
p = Packet('1', '2')
p2 = Packet('2', '1')
p3 = Packet('3', '4')
p4 = Packet('4', '3')
test1 = FlowDictionary()
test1.update(p)
test1.update(p3)
test1.update(p)
test1.update(p)
test1.update(p2)
test1.update(p3)
test1.update(p3)
test1.update(p)
test1.update(p2)
test1.update(p2)
test1.update(p)
test1.update(p4)
test1.update(p)
test1.update(p2)
test1.update(p)
test1.update(p4)
test1.update(p4)
test1.update(p4)
test1.update(p2)
test1.update(p)
test1.update(p)
test1.update(p3)
test1.update(p2)
test1.update(p2)
test1.update(p4)
test1.update(p)
test1.update(p)
test1.update(p2)
test1.update(p2)
print(test1.flows)
print(test1.get_keys_with_histories())
print(test1.get_keys_with_histories(2))
print(test1.get_history_segments(2))
print()
p5 = Packet('12', '21')
p6 = Packet('12', '11')
p7 = Packet('13', '14')
p8 = Packet('14', '13')
test2 = FlowDictionary()
test2.update(p5)
test2.update(p7)
test2.update(p5)
test2.update(p5)
test2.update(p6)
test2.update(p7)
test2.update(p7)
test2.update(p5)
test2.update(p6)
test2.update(p6)
test2.update(p5)
test2.update(p8)
test2.update(p5)
test2.update(p6)
test2.update(p5)
test2.update(p8)
test2.update(p8)
test2.update(p8)
test2.update(p6)
test2.update(p5)
test2.update(p5)
test2.update(p7)
test2.update(p6)
test2.update(p6)
test2.update(p8)
test2.update(p5)
test2.update(p5)
test2.update(p6)
test2.update(p6)
print(test2.flows)
print(test2.get_keys_with_histories())
print(test2.get_keys_with_histories(2))
print(test2.get_history_segments(2))
输出：
{('3', '4'):([3, 4, 1], 1),('1', '2'):([3, 1, 1, 2, 2, 1, 1, 1, 2, 2, 2], 2),}
[(('3', '4'), [3, 4, 1], 1), (('1', '2'), [3, 1, 1, 2, 2, 1, 1, 1, 2, 2, 2], 2)]
[(('3', '4'), [4, 1], 1), (('1', '2'), [2, 2], 2)]
[[0, 3, 4, 1], [0, 3, 1, 1, 2, 2, 1, 1, 1, 2, 2, 2]]
{('3', '4'):([3, 4, 1], 1),('1', '2'):([3, 1, 1, 2, 2, 1, 1, 1, 2, 2, 2], 2),('12', '11'):([], 9),('12', '21'):([], 10),('13', '14'):([3, 4, 1], 1),}
[(('3', '4'), [3, 4, 1], 1), (('1', '2'), [3, 1, 1, 2, 2, 1, 1, 1, 2, 2, 2], 2), (('12', '11'), [], 9), (('12', '21'), [], 10), (('13', '14'), [3, 4, 1], 1)]
[(('3', '4'), [4, 1], 1), (('1', '2'), [2, 2], 2), (('12', '11'), [], 9), (('12', '21'), [], 10), (('13', '14'), [4, 1], 1)]
[[0, 3, 4, 1], [0, 3, 1, 1, 2, 2, 1, 1, 1, 2, 2, 2], [0], [0], [0, 3, 4, 1]]
正如你所看到的那样，第二类似乎有些相同的数据，或者它没有像我认为的那样以空字典开头。如果您有任何建议，请告诉我。 谢谢！