完善log接口测试返回数据验证方法

This commit is contained in:
byb11
2021-04-27 17:11:26 +08:00
parent cdf67995b7
commit 7d7b3beeb1
2 changed files with 84 additions and 47 deletions

View File

@@ -35,13 +35,13 @@ logtest
${EndTime1} Get Substring ${EndTime} \ -4
${StartTime} add time to date ${EndTime} -01:00:00
${StartTime1} Get Substring ${StartTime} \ -4
${filter} Set Variable common_log_id=238347398589845504 OR common_log_id=238347398522859520
${filter} Set Variable common_log_id=238734003578214400
${responsebody} loglistverify ${Logurl} ${Schemaurl} ${token} ${StartTime1} ${EndTime1} ${logType} ${filter}
${targetdict} create list common_log_id = 237434463277422592
${targetdict} create list common_log_id = 238734003578214400
log ${responsebody}
${strlist} FieldValidation ${responsebody} ${targetdict}
log ${strlist}
Assertresults ${strlist}
# Assertresults ${strlist}

View File

@@ -1,5 +1,11 @@
import jsonpath
# 1.说明:本方法用于对日志接口返回数据中的字段和数据进行判断
# 2.传入数据说明responsedict - 接口返回数据的json数据
# targetlist - 判断参数 可传入多个条件在robotfromwork中条件以Tab分隔 。参数格式为: 字段key_判断条件_数据value ,一个条件内各参数以空格分隔 例common_log_id = 238734003578214400
# 判断条件包括:= 、 != 、> 、< 、>= 、<= 、in 、notin 、like、 notlike 、notEmpty 、 empty 。
# 1其中notin、notlike、notEmpty传入时中间无空格
# 2notEmpty、empty 不传数据value
# 3 in 、notin 多个字段以逗号分隔 例 common_log_id notin 238734003578214400238734003578214402238734003578214403
def FieldValidation(responsedict, targetlist):
responselist = responsedict["data"]["list"]
@@ -12,17 +18,20 @@ def FieldValidation(responsedict, targetlist):
for t in targetlist:
# 将目的根据空格分割成列表 “key值”“判断条件”“value值”
target = t.split(" ")
print("target",target)
#获取json串中所有的key返回列表
responsekeys = getKeys(response)
# 判断目的条件的Key在数据中是否存在
if target[0] in response:
if target[0] in responsekeys:
#targetkey 判断的字段
targetkey = target[0]
# 判断条件
conditions = target[1]
#的Value
# 对应Key返回数据的Value
responsevalue = response[target[0]]
print(targetkey,conditions,responsevalue)
print(len(target))
# 返回数据中对应key的Value列表
responsevaluelist = getjsonvalue(response,target[0])
for responsevalue in responsevaluelist:
#判断value值是否为列表转化为字符串
if isinstance(responsevalue, list):
responsevalue=str(responsevalue)
if len(target) == 3:
targetvalue = target[2]
p = conditional(conditions, responsevalue, targetkey, sum, targetvalue)
@@ -38,9 +47,39 @@ def FieldValidation(responsedict, targetlist):
else:
str3 = "返回数据中无数据"
strlist.append(str3)
Assertresults(strlist)
return strlist
def getjsonvalue(json_data, key_name):
'''获取到json中任意key的值,结果为list格式'''
keyvalue = jsonpath.jsonpath(json_data, '$..{key_name}'.format(key_name=key_name))
# key的值不为空字符串或者为empty用例中空固定写为empty返回对应值否则返回empty
return keyvalue
def getKeys(data):
# 获取json串中所有的key
keysAll_list = []
def getkeys(data): # 遍历json所有key
if (type(data) == type({})):
keys = data.keys()
for key in keys:
value = data.get(key)
if (type(value) != type({}) and type(value) != type([])):
keysAll_list.append(key)
elif (type(value) == type({})):
keysAll_list.append(key)
getkeys(value)
elif (type(value) == type([])):
keysAll_list.append(key)
for para in value:
if (type(para) == type({}) or type(para) == type([])):
getkeys(para)
else:
keysAll_list.append(para)
getkeys(data)
return keysAll_list
# 对传入的数据根据条件进行判断
def conditional(conditions, value2, targetkey, sum, value=None):
str1 = ""
if conditions == "=":
@@ -130,7 +169,6 @@ def conditional(conditions,value2,targetkey,sum,value=None):
if conditions == "Empty":
if value2 != "":
str1 = "返回数据第" + str(sum) + "组数据中," + targetkey + "的值与和条件不符。"
return str1
def Assertresults(resultslist):
@@ -138,4 +176,3 @@ def Assertresults(resultslist):
for i in resultslist:
if i != "":
assert 1 == 2