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dongxiaoyan-tsg-autotest/04-CustomLibrary/Custometest/LogSchema.py

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新增log纯接口方法及用例
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# ！/user/bin/python
# -*-coding:utf-8-*-
import requests
import random
import json
import LogResponseVAL
import time, datetime
# import allure
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# 请求schema接口得到返回数据，用于其他接口
def schema(schemauerl, token):
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url = schemauerl
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headers = {"Content-Type": "application/x-www-form-urlencoded", "Authorization": token}
response = requests.get(url=url, headers=headers)
return response.json()
# 根据schema接口返回数据，得出所有属性所支持的比较类型的列表
# 1、根据[doc][allow_query]值为true列支持搜索；
# 2、如有[doc][constraints][operator_functions]值，操作优先；
# 3、如有[doc][data]值则对应属性取值为data所列code值；
# 4、int和long的范围不一致；
# 5、string要包含特殊字符
# 6、给查询条件赋值，要给出边界和正常值
# 7、IP（V4、V6）和URL要给出专门的方法生成
import ipaddress
# 生成随机ipv4或ipv6
MAX_IPV4 = ipaddress.IPv4Address._ALL_ONES # 2 ** 32 - 1
MAX_IPV6 = ipaddress.IPv6Address._ALL_ONES # 2 ** 128 - 1
def random_ipv4():
return ipaddress.IPv4Address._string_from_ip_int(
random.randint(0, MAX_IPV4)
)
def random_ipv6():
return ipaddress.IPv6Address._string_from_ip_int(
random.randint(0, MAX_IPV6)
)
from random import Random
# 生成 12 位随机 URL 地址
def randrom_url():
str = ''
str1 = ''
chars = 'abcdefghijklmnopqrstuvwxyz0123456789'
chars1 = 'abcdefghijklmnopqrstuvwxyz0123456789!#$%^&*()'
length = len(chars)
length1 = len(chars1)
random = Random()
for x in range(random.randint(8, 16)):
str += chars[random.randint(0, length - 1)]
for pp in range(random.randint(8, 16)):
str1 += chars1[random.randint(0, length1 - 1)]
url = str[0:-5] + "." + str[0:-6] + "." + str[0:-7] + "/" + str1
print(url)
return url
def Filter1(schemauerl, token):
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list = []
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json_str = schema(schemauerl, token)
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print("schemauerl",json_str)
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print(type(json_str))
# 获取日志属性定义
fields = json_str["data"]["fields"]
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print("1111111111",fields)
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# 获取不同属性支持的部不同操作
operator = json_str["data"]["doc"]["schema_query"]["references"]["operator"]
for i in fields:
number = random.randint(0, 2147483647)
maxnumber = 2147483647
minnumber = -2147483648
str = random.choice('abcdefghijklmnopqrstuvwxyz!@#%^&*')
name = i["name"]
doc = i["doc"]
# 获取无任何特殊说明列：
if doc == None:
type1 = i["type"]
for j in operator:
if type1 == j["type"]:
if type1 == "int" or type1 == "long":
value1 = number
functions = j["functions"]
functions1 = functions.split(",")
for v in functions1:
if v == "in" or v == "not in":
str1 = name + " " + v + " " + "(" + f"{value1}" + ")"
list.append(str1)
else:
str1 = name + " " + v + " " + f"{value1}"
list.append(str1)
elif type1 == "string":
value1 = str
functions = j["functions"]
functions1 = functions.split(",")
for v in functions1:
if v == "notEmpty" or v == "empty":
str1 = v + "(" + " '" + name + " '" + ")"
list.append(str1)
elif v == "in" or v == "not in":
str1 = name + " " + v + " " + "(" + " '" + value1 + " '" + ")"
list.append(str1)
else:
str1 = name + " " + v + " " + " '" + value1 + " '"
list.append(str1)
else:
if i["doc"]["constraints"] == None:
type1 = i["type"]
for j in operator:
if type1 == j["type"]:
if type1 == "int" or type1 == "long":
value1 = number
functions = j["functions"]
functions1 = functions.split(",")
for v in functions1:
if v == "in" or v == "not in":
str1 = name + " " + v + " " + "(" + f"{value1}" + ")"
list.append(str1)
else:
str1 = name + " " + v + " " + f"{value1}"
list.append(str1)
elif type1 == "string":
value1 = str
functions = j["functions"]
functions1 = functions.split(",")
for v in functions1:
if v == "notEmpty" or v == "empty":
str1 = v + "(" + " '" + name + " '" + ")"
list.append(str1)
elif v == "in" or v == "not in":
str1 = name + " " + v + " " + "(" + " '" + value1 + " '" + ")"
list.append(str1)
else:
str1 = name + " " + v + " " + " '" + value1 + " '"
list.append(str1)
else:
if i["doc"]["constraints"]["operator_functions"] == None:
type1 = i["type"]
for j in operator:
if type1 == j["type"]:
if type1 == "int" or type1 == "long":
value1 = number
functions = j["functions"]
functions1 = functions.split(",")
for v in functions1:
if v == "in" or v == "not in":
str1 = name + " " + v + " " + "(" + f"{value1}" + ")"
list.append(str1)
else:
str1 = name + " " + v + " " + f"{value1}"
list.append(str1)
elif type1 == "string":
value1 = str
functions = j["functions"]
functions1 = functions.split(",")
for v in functions1:
if v == "notEmpty" or v == "empty":
str1 = v + "(" + " '" + name + " '" + ")"
list.append(str1)
elif v == "in" or v == "not in":
str1 = name + " " + v + " " + "(" + " '" + value1 + " '" + ")"
list.append(str1)
else:
str1 = name + " " + v + " " + " '" + value1 + " '"
list.append(str1)
else:
type1 = i["type"]
operator1 = i["doc"]["constraints"]["operator_functions"]
operator2 = operator1.split(",")
data = i["doc"]["data"]
for d in data:
code = d["code"]
if type1 == "int" or type1 == "long":
for o in operator2:
str1 = name + " " + o + " " + code
list.append(str1)
else:
for o in operator2:
str1 = name + " " + o + " " + " '" + code + " '"
list.append(str1)
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print("22222222222",list)
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return list
# 根据Filter1方法中的的数据，写入log请求接口中，来验证log请求接口
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def logapiverify(schemauerl,logurl, token, starttime, endtime,logtype):
filter2 = Filter1(schemauerl, token)
a = schema(schemauerl, token)
fields = a["data"]["fields"]
print("333333333333",filter2)
for i in filter2:
print("条件：", i)
url = logurl # "http://192.168.44.72:8080/v1/log/list"
headers = {"Content-Type": "application/json",
"Authorization": token}
data = {
"start_common_recv_time": starttime,
"end_common_recv_time": endtime,
"logType": logtype,
"fields": fields,
"filter": i
}
print(json.dumps(data))
response1 = requests.post(url=url, data=json.dumps(data), headers=headers)
code = response1.json()["code"]
assert code == 200
print(response1.json()["code"])
return response1.json()
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# print("111111111111111111111111111111111111111111111111111111111111111111111111111111111111111")
# print(str2)
# str3 = str2[0:-4]
# print(str3)
# url = logurl # "http://192.168.44.72:8080/v1/log/list"
# headers = {"Content-Type": "application/json",
# "Authorization": token}
# data = {
# "start_common_recv_time": starttime,
# "end_common_recv_time": endtime,
# "logType": logtype,
# "fields": fields,
# "filter": str3
# }
# print(data)
# print(json.dumps(data))
# response1 = requests.post(url=url, data=json.dumps(data), headers=headers)
# code = response1.json()["code"]
# print(response1.json())
# assert code == 200
# print(response1.json()["code"])
# 精确filter，请求日志接口
def loglistverify(logurl, schemauerl, token, starttime, endtime, logtype, filtervalue):
a = schema(schemauerl, token)
fields = a["data"]["fields"]
print(fields)
url = logurl # "http://192.168.44.72:8080/v1/log/list"
headers = {"Content-Type": "application/json",
"Authorization": token}
data = {
"start_common_recv_time": starttime,
"end_common_recv_time": endtime,
"logType": logtype,
"fields": fields,
"filter": filtervalue
}
response1 = requests.post(url=url, data=json.dumps(data), headers=headers)
code = response1.json()["code"]
assert code == 200
print(response1.json()["code"])
return response1.json()
# 事件日志和通联日志时间分布查询 ，日志检索条件校验（filter内容验证）
def distributed_query(logurl, token):
url = logurl # url示例：http://192.168.44.72:8080/v1/interface/gateway/sql/galaxy/security_event_hits_log/timedistribution?logType=security_event_hits_log&startTime=2021-03-26 12:27:03&endTime=2021-03-29 12:27:03&granularity=PT5M
headers = {"Content-Type": "application/json", "Authorization": token}
response = requests.get(url=url, headers=headers)
code = response.json()["code"]
print(response.json())
assert code == 200
print(response.json()["code"])
return response.json()
#日志检索条件校验 纯接口
def LogRetrieve(schemaurl,host,port,token,logType,datajson):
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number = random.randint(0, 2147483647)
str1 = random.choice('abcdefghijklmnopqrstuvwxyz')
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data=datajson["data"]["list"][0]
keylist = LogResponseVAL.getKeys(data)
a = schema(schemaurl, token)
fields=a["data"]["fields"]
for i in keylist:
conditions = data[i]
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for field in fields:
name = field["name"]
if i == name:
if field["type"] == "string":
filter = "logType=" + logType + "&" + "filter=" + i + "=" + "'" + str1 + "'"
Logurl = "http://" + host + ":" + port + "/v1/interface/gateway/sql/galaxy/log/filter/validation?" + filter
print(Logurl)
responsebody = distributed_query(Logurl, token)
else:
if i == "common_recv_time" or i == "common_start_time" or i == "common_end_time" or i == "common_processing_time":
timeArray = time.strptime(conditions, "%Y-%m-%d %H:%M:%S")
timeStamp = str(int(time.mktime(timeArray)))
filter = "logType=" + logType + "&" + "filter=" + i + "=" + timeStamp
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Logurl = "http://" + host + ":" + port + "/v1/interface/gateway/sql/galaxy/log/filter/validation?" + filter
print(Logurl)
responsebody = distributed_query(Logurl, token)
else:
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filter = "logType=" + logType + "&" + "filter=" + i + "=" + str(number)
Logurl = "http://" + host + ":" + port + "/v1/interface/gateway/sql/galaxy/log/filter/validation?" + filter
print(Logurl)
responsebody = distributed_query(Logurl, token)
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# 原始日志检索时间分布计算
def timedistribution(logurl, token, starttime, endtime, logtype, granularity, filtervalue):
url = logurl # "http://192.168.44.72:8080/v1/log/timedistribution"
headers = {"Content-Type": "application/json",
"Authorization": token}
data = {
"startTime": starttime,
"endTime": endtime,
"logType": logtype,
"granularity": granularity,
"filter": filtervalue
}
print(data)
print(json.dumps(data))
response1 = requests.post(url=url, data=json.dumps(data), headers=headers)
code = response1.json()["code"]
print(response1.json())
print(response1.json()["code"])
assert code == 200
return response1.json()
# 日志总数查询
def countlog_query(logurl, token, starttime, endtime, logtype):
url = logurl
headers = {"Content-Type": "application/json",
"Authorization": token}
data = {
"pageSize": 20,
"logType": logtype,
"start_common_recv_time": starttime,
"end_common_recv_time": endtime,
"filter": ""
}
print(data)
print(json.dumps(data))
response1 = requests.post(url=url, data=json.dumps(data), headers=headers)
code = response1.json()["code"]
print(response1.json())
print(response1.json()["code"])
assert code == 200
return response1.json()
# 日志导出接口
def exportlog(logurl, schemauerl, token, starttime, endtime, logtype, filtervalue):
a = schema(schemauerl, token)
fields = a["data"]["fields"]
print(fields)
url = logurl
headers = {"Content-Type": "application/json",
"Authorization": token}
data = {
"start_common_recv_time": starttime,
"end_common_recv_time": endtime,
"logType": logtype,
"fields": fields,
"filter": filtervalue
}
print(data)
print(json.dumps(data))
response1 = requests.post(url=url, data=json.dumps(data), headers=headers)
a=type(response1)
if a != "class 'requests.models.Response'":
assert 1 == 1
else:
assert 1 == 2
#判断日志内详情字段
def LogFieldValidation(schemauerl,token,datajson):
Schemajson = schema(schemauerl, token)
fields=Schemajson["data"]["fields"]
keylist= LogResponseVAL.getKeys(datajson["data"]["list"][0])
schema_typedict=Schemajson["data"]["doc"]["schema_type"]
schema_typelistkey=schema_typedict.keys()
for schema_typekey in schema_typelistkey: #取出schema_type内的每一个key
for i in schema_typedict[schema_typekey]["columns"]:
for filter in fields:
if filter["name"] == i:
if filter["doc"] == None:
if i not in keylist:
print("该字段未存在日志详情内",i)
assert 1==2
else:
print("该字段通过在日志详情内",i)
else:
if filter["doc"]["visibility"] != "disabled":
if i not in keylist:
print("该字段未存在日志详情内",i)
assert 1==2
else:
print("该字段通过在日志详情内",i)
# if __name__ == '__main__':
# logapiverify("http://192.168.32.59:8080/v1/log/list","http://192.168.32.59:8080/v1/log/schema?logType=security_event_log","d475b20d-e2b8-4f24-87ee-d54af46e6aff&807&",'2021-03-20 16:36:41','2021-03-21 17:36:41',"security_event_log")
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