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| from __future__ import division import re,datetime
class PatternMerge:
''' 参数一(int):多参数数据合并时根据后几个参数合并,最小为2 参数二(int):单参数合并时多少条以上才进行合并 参数三(int):多参数合并时多少条以上才进行合并 参数四(float):判断参数是否为真,去重后的数据量/去重前的数据量>参数四才会判断该参数为真,区间[0-1] 参数五(method):回调函数 ''' def __init__(self, number, size, num, probability, on_merge_func): self.number = number self.size = size self.num = num self.probability = probability self.patternList = {} self.patternsDict = {} self.patternData = [] self.on_merge_func = on_merge_func
''' 将包含数字的段替换为“{id1},{id2},{id3}...” ''' def sub(self, data): list = re.findall('[/|;][^/,";]*\d[^/,";]*', data) for i in range(len(list)): data = data.replace(list[i], list[i][0] + "{id" + str(i + 1) + "}", 1) return data
''' 转义数据中的特殊字符 ''' def escape_regexp_char(self, value): regexp_special_chars = [u'\\', u'^', u'$', u'*', u'+', u'?', u'.', u'|', u'(', u')', u'[', u']'] escape_char = u'\\' for char in regexp_special_chars: value = value.replace(char, escape_char + char) return value
''' 将传入的数据转换为正则表达式返回,例: 传入"/api/{id1},GET,40",返回"/api/[^/,]*\d[^/,]*,GET,40" ''' def getRef(self, data): data1 = self.escape_regexp_char(data) reString = re.compile('[/|;][^/,";]*\d[^/,";]*').sub("[/|;][^/,\";]*\\\d[^/,\";]*", data1) return "^" + reString + "$"
def getRe(self, data): data1 = self.escape_regexp_char(data) reString = re.compile('[/|;]{id\d+}[^/,";]*').sub("[/|;][^/,\";]*\\\d[^/,\";]*", data1) return "^" + reString + "$"
''' 将数据转换为指定格式,以此判断参数是否为真,例: 传入'/api/57/login/3/123',传出'/api/{id}/login/3/{id}' ''' def getDataString(self, data, num): dataString = "" datanum = 1 list = re.split("([/|;][^/,\";]*\d[^/,\";]*)", data) for i in list: if re.compile("[/|;][^/,\";]*\d[^/,\";]*").findall(i): if datanum == num: dataString = dataString + i else: dataString = dataString + "/{id}" datanum = datanum + 1 else: dataString = dataString + i return dataString
''' 将数据转换为指定格式,和getDataString()类似,例: 根据传入的idList中记录的下标,传入'/api/57/login/3/123',传出'/api/57/login/{id1}/{id2}' ''' def getPattern(self, data, idList): dataString = "" datanum1 = 1 datanum2 = 1 list = re.split("([/|;][^/,\";]*\d[^/,\";]*)", data) for i in list: if re.compile('[/|;][^/,";]*\d[^/,";]*').findall(i): if datanum1 in idList: dataString = dataString + i[0] + "{id" + str(datanum2) + "}" datanum2 = datanum2 + 1 else: dataString = dataString + i datanum1 = datanum1 + 1 else: dataString = dataString + i return dataString
''' pattern分组,划分为: (1)1个段包含数字; (2)N+1个段包含数字。 数据存入patternsDict、patternList ''' def data_group(self, content):
for lines in content: ''' 截取出包含数字段的部分放在apiList列表中,根据列表的length划分为两组; 取出原始数据中的path、host、port、method等字段,用“,”分割合并为字符串,这么做的目的是抛开match做合并,因为需要合并的数据的match会不一样 ''' apiList = re.findall('[/|;][^/,";]*\d[^/,";]*', lines['path']) line = lines['path'] + "," + lines['host'] + "," + str(lines['port']) + "," + lines['method']
if len(apiList) >= 2:
api = self.sub(line)
if self.patternsDict.get(api) == None: self.patternsDict[api] = [lines] else: self.patternsDict[api].append(lines)
elif len(apiList) == 1:
api = self.sub(line)
if self.patternList.get(api) == None: self.patternList[api] = [lines] else: self.patternList[api].append(lines)
else: lines['type'] = 2 self.patternData.append(lines)
''' 处理一个参数的数据,将符合条件的合并后的api放入patternData; 如果合并api的数据量小于或等于size,则不放入patternData; ''' def data_one_merge(self):
for key in self.patternList.keys(): if len(self.patternList[key]) > self.size: data = {} patternsurl = key.split(",") data['path'] = patternsurl[0] data['host'] = patternsurl[1] data['port'] = patternsurl[2] data['method'] = patternsurl[3] data['type'] = 1 if self.on_merge_func != None: self.on_merge_func(data, self.patternList[key]) self.patternData.append(data) else: for data in self.patternList[key]: data['type'] = 2 self.patternData.append(data)
''' API合并的调用方法 参数(List):数据列表,要求元素为字典,字典字段:{'path':string,'host':string,'port':string,'match':float,'method':string} ''' def merge(self, content):
self.data_group(content) if len(self.patternList) > 0: self.data_one_merge()
''' 处理N+1个段包含数据的api ''' for keyDict in self.patternsDict.keys():
''' 如果 len(self.patternsDict[keyDict]) 小于等于2,说明当前pattern由最多两条数据生成,就不再做合并计算 ''' if len(self.patternsDict[keyDict]) <= self.num:
for data in self.patternsDict[keyDict]:
data['type'] = 2 self.patternData.append(data)
else: ''' dataList存放转换后的api,用来依次判断某个参数是否为真的参数,例: [ '/api/{id}/login/2/{id}', '/api/{id}/login/3/{id}', '/api/{id}/login/6/{id}', '/api/{id}/login/11/{id}', ...... ],后面的计算每循环一次还需要clear一次 idList存放是真正参数的下标,如果判断出某个参数是真的参数,则加入到idList(“下标”指的是一条数据中所有包含数字段形成的列表的下标) apilen是当前pattern包含数字段的格式 cmp是比较pattern中数据段的个数与传入的参数一做对比,取最小的 ''' idList = [] apilen = len(re.findall('[/|;][^/,";]*\d[^/,";]*', keyDict)) cmp = lambda a,b: b if a > b else a if a < b else a for num in range(apilen - (cmp(self.number, apilen) - 1), apilen + 1):
dataList = []
for data in self.patternsDict[keyDict]: ''' 调用getDataString()方法,将数据转换为指定格式,例: 判断倒数第二个参数是否为真,传入'/api/57/login/3/123',传出'/api/{id}/login/3/{id}' 转换后加入到dataList ''' dataList.append(self.getDataString(data['path'], num))
dataSet = set(dataList) if len(dataSet) > self.probability: idList.append(num)
listData = {}
for data in self.patternsDict[keyDict]: ''' 调用getPattern()方法,将数据转换为指定格式,和getDataString()类似,例: 根据传入的idList中记录的下标,传入'/api/57/login/3/123',传出'/api/57/login/{id1}/{id2}' ''' dataString = self.getPattern(data['path'] + "," + data['host'] + "," + str(data['port']) + "," + data['method'], idList) if re.findall('[/|;]{id\d+}[^/,";]*', dataString): if listData.get(dataString) == None: listData[dataString] = [data] else: listData[dataString].append(data) else: data['type'] = 2 self.patternData.append(data)
for key in listData.keys(): dic = {} patternsurl = key.split(",") dic['path'] = patternsurl[0] dic['host'] = patternsurl[1] dic['port'] = patternsurl[2] dic['method'] = patternsurl[3] dic['type'] = 1 if self.on_merge_func != None: self.on_merge_func(dic, listData[key]) self.patternData.append(dic)
return self.patternData
''' API merge UT 传入空列表, 能正常工作 ''' def test_one(): list = [] patternMerge = PatternMerge(2, 3, 2, 0.6, None) list1 = patternMerge.merge(list) assert list1 == [] print(True) ''' API merge UT 单参数, 入参(能合并的+ 不能合并的), on_merge能回调成功, 取最大match ''' def test_two(): patternMerge = PatternMerge(2, 3, 2, 0.6, on_merge) list = [] for i in range(0, 100): list.append({ "path": "/aa/" + str(i), "host": "10.10.65.21", "port": 80, "match": i, "method": "GET" }) list.append({"path": "/4/login;jsessionid=1", "host": "10.10.65.21", "port": 80, "match": 99.2911744266852, "method": "GET"}) list.append({"path": "/1/login;jsessionid=3", "host": "10.10.65.21", "port": 80, "match": 99.2911744266852, "method": "GET"}) list1 = patternMerge.merge(list) assert (list1[0]['path'] == b'/aa/{id1}') assert (list1[0]['match'] == 99) assert (list1[1]['path'] == b'/4/login;jsessionid=1') assert (list1[2]['path'] == b'/1/login;jsessionid=3') print(True) ''' API merge UT 多参数, 只合并最后两个。 ''' def test_three(): patternMerge = PatternMerge(2, 3, 2, 0.6, on_merge) list = [{"path": "/api/1/2/test/3", "host": "10.10.65.21", "port": 80, "match": 99.2911744266852, "method": "GET"}, {"path": "/api/2/1/test/6", "host": "10.10.65.21", "port": 80, "match": 99.2911744266852, "method": "GET"}, {"path": "/api/3/21/test/7", "host": "10.10.65.21", "port": 80, "match": 99.2911744266852, "method": "GET"}, {"path": "/api/4/2d/test/31", "host": "10.10.65.21", "port": 80, "match": 99.2911744266852, "method": "GET"}, {"path": "/api/1/12/test/35", "host": "10.10.65.21", "port": 80, "match": 99.2911744266852, "method": "GET"}, {"path": "/api/1/12/test/35/fsdf", "host": "10.10.65.21", "port": 80, "match": 99.2911744266852, "method": "GET"} ] list1 = patternMerge.merge(list) assert list1[0]['path'] == '/api/1/{id1}/test/{id2}' assert list1[1]['path'] == '/api/2/{id1}/test/{id2}' assert list1[2]['path'] == '/api/3/{id1}/test/{id2}' assert list1[3]['path'] == '/api/4/{id1}/test/{id2}' print(True) ''' API merge UT 带分号的。可以合并 ''' def test_four(): patternMerge = PatternMerge(2, 3, 2, 0.6, None) list = [ {"path": "/4/login;jsessionid=1", "host": "10.10.65.21", "port": 80, "match": 99.2911744266852, "method": "GET"}, {"path": "/1/login;jsessionid=3", "host": "10.10.65.21", "port": 80, "match": 99.2911744266852, "method": "GET"}, {"path": "/2/login;jsessionid=4", "host": "10.10.65.21", "port": 80, "match": 99.2911744266852, "method": "GET"}, {"path": "/3/login;jsessionid=5", "host": "10.10.65.21", "port": 80, "match": 99.2911744266852, "method": "GET"} ] list1 = patternMerge.merge(list) assert (list1[0]['path'] == b'/{id1}/login;{id2}') print(True)
def test_five(): patternMerge = PatternMerge(2, 3, 2, 0.6, on_merge) list = [ {"path": "/test/a1/0/1", "host": "10.10.65.21", "port": 80, "match": 99.2911744266852, "method": "GET"}, {"path": "/test/a1/1/1", "host": "10.10.65.21", "port": 80, "match": 100, "method": "GET"}, {"path": "/test/a1/2/1", "host": "10.10.65.21", "port": 80, "match": 99.2911744266852, "method": "GET"}, {"path": "/test/a1/3/1", "host": "10.10.65.21", "port": 80, "match": 99.2911744266852, "method": "GET"}, {"path": "/test/a1/4/1", "host": "10.10.65.21", "port": 80, "match": 99.2911744266852, "method": "GET"}, {"path": "/test/a1/0/0", "host": "10.10.65.21", "port": 80, "match": 99.2911744266852, "method": "GET"} ] list1 = patternMerge.merge(list) assert (list1[0]['path'] == b'/test/a1/{id1}/1') assert (list1[1]['path'] == b'/test/a1/{id1}/0') print(True)
def test_six(): patternMerge = PatternMerge(2, 1, 2, 2, on_merge) list = [ {'method': '"GET"', 'host': '10.10.69.132', 'path': '/a1/1/$', 'type': 2, 'port': '80', 'match': '-52.3'}, {'method': '"GET"', 'host': '10.10.69.132', 'path': '/a1/2/$', 'type': 2, 'port': '80', 'match': '-52.3'}, {'method': '"GET"', 'host': '10.10.69.132', 'path': '/a1/3/$', 'type': 2, 'port': '80', 'match': '-52.3'} ] list1 = patternMerge.merge(list) assert (list1[0]['path'] == b'/a1/{id1}/$') print(True)
def on_merge(pattern, api_list): pattern['match'] = max([api['match'] for api in api_list])
if __name__ == '__main__':
|