diff --git a/04-CustomLibrary/Custometest/ReportSchema.py b/04-CustomLibrary/Custometest/ReportSchema.py index 70001fe..aa06980 100644 --- a/04-CustomLibrary/Custometest/ReportSchema.py +++ b/04-CustomLibrary/Custometest/ReportSchema.py @@ -41,22 +41,17 @@ def schema(schemauerl,token,logtype): #获取json串中groupColumnList的值 def groupby(schemajson,logtype,testpoint): - #生成随机数 -# securitynb=random.randint(1,33) -# proxynb=random.randint(1,23) -# sessionnb=random.randint(1,24) -# Radiusnb=random.randint(1,4) - #取出group值得列表 dimensions=schemajson["data"]["doc"]["schema_query"]["dimensions"] dimensions.append("common_recv_time"); randomstr_1=[] - if testpoint == "GroupBy": - randomstr_1=dimensions - if logtype == "security_event_log" or logtype == "connection_record_log" or logtype == "voip_record_log" : - randomstr_1.remove("common_start_time") - randomstr_1.remove("common_end_time") + if testpoint == "DataBindings": + randomstr_1.append("common_recv_time") else: - randomstr_1= random.sample(dimensions, 4) + randomstr_1=random.sample(dimensions, 4) + if logtype == "security_event_log" or logtype == "connection_record_log" or logtype == "voip_record_log" : + randomstr_1.remove("common_start_time") + randomstr_1.remove("common_end_time") + #定义grp为返回值group的列表 grp=[] for i in randomstr_1: @@ -68,16 +63,16 @@ def groupby(schemajson,logtype,testpoint): return re #获取json串中queryColumnList的值 -def DataBindings(schemajson,randomstr_1,testpoint): +def DataBindings(schemajson,randomstr_1,testpoint,field): #生成queryColumnList列表 metrics=schemajson["data"]["doc"]["schema_query"]["metrics"] metrics.append("common_log_id") - #在列表里随机去除元素 + #在列表里随机元素 randomstr_2=[] - if testpoint == "DataBindings" : - randomstr_2=metrics - else : - randomstr_2= random.sample(metrics, 6) + if testpoint == "DataBindings": + randomstr_2.append(field) + else: + randomstr_2=random.sample(metrics,6) #在聚合列表中去掉groupby中的重复的元素 randomstr_3=array_diff(randomstr_2,randomstr_1) #将groupby中元素添加到串中 @@ -88,20 +83,40 @@ def DataBindings(schemajson,randomstr_1,testpoint): fields = schemajson["data"]["fields"] list_1=["sum","min","max","avg","count"] - list_2=["count","count_distinct"] - for i in randomstr_3: - for j in fields: - if i == j["name"] : - jtype=j["type"] - if jtype == "int" or jtype == "long" or jtype == "float" or jtype == "double": - radomlist=random.sample(list_1,1) - randomstr_4={"name":i,"expression":radomlist[0]} - qul.append(randomstr_4) - elif jtype == "randomstring" or jtype == "date" or jtype == "timestamp" or jtype == "string": - randomlist=random.sample(list_2,1) - randomstr_4={"name":i,"expression":randomlist[0]} - qul.append(randomstr_4) - + list_2=["count","count_distinct"] + if testpoint == "DataBindings": + for i in randomstr_3: + for j in fields: + if i == j["name"] : + jtype=j["type"] + label=i + sun=1 + if jtype == "int" or jtype == "long" or jtype == "float" or jtype == "double": + for Aggregate in list_1: + randomstr_4={"name":i,"expression":Aggregate,"label":label} + qul.append(randomstr_4) + label=label+str(sun) + sun+=1 + elif jtype == "randomstring" or jtype == "date" or jtype == "timestamp" or jtype == "string": + for Aggregate in list_2: + randomstr_4={"name":i,"expression":Aggregate,"label":label} + qul.append(randomstr_4) + label = label + str(sun) + sun += 1 + + else: + for i in randomstr_3: + for j in fields: + if i == j["name"]: + jtype = j["type"] + if jtype == "int" or jtype == "long" or jtype == "float" or jtype == "double": + radomlist = random.sample(list_1, 1) + randomstr_4 = {"name": i, "expression": radomlist[0]} + qul.append(randomstr_4) + elif jtype == "randomstring" or jtype == "date" or jtype == "timestamp" or jtype == "string": + randomlist = random.sample(list_2, 1) + randomstr_4 = {"name": i, "expression": randomlist[0]} + qul.append(randomstr_4) print("DataBindings",qul) return qul @@ -120,15 +135,15 @@ def array_diff(a, b): #返回序列c，c就是列表a去除列表b之后的元素 return c -def filterCondition(schemajson,testpoint): +def filterCondition(schemajson,testpoint,field): number = random.randint(0,100000) randomstr= random.choice('abcdefghijklmnopqrstuvwxyz') schemafilters=schemajson["data"]["doc"]["schema_query"]["filters"] list1=[] - if testpoint== "Filter": - list1=schemafilters + if testpoint=="Filter": + list1.append(field) else: - list1= random.sample(schemafilters,3) + list1=random.sample(schemafilters, 4) #获取不同属性支持的部不同操作 fields = schemajson["data"]["fields"] operator = schemajson["data"]["doc"]["schema_query"]["references"]["operator"] @@ -146,27 +161,45 @@ def filterCondition(schemajson,testpoint): if type1 == "int" or type1 == "long": orConditions_list=[] Operator=["=","!=",">","<",">=","<="] - randomOperator= random.sample(Operator, 1) - value=[str(number)] - Field={"name":name,"expression":randomOperator[0],"value":value,"type":type1} - orConditions_list.append(Field) + if testpoint=="Filter": + for op in Operator: + value=[str(number)] + Field={"name":name,"expression":op,"value":value,"type":type1} + orConditions_list.append(Field) + else: + randomOperator= random.sample(Operator, 1) + value=[str(number)] + Field={"name":name,"expression":randomOperator[0],"value":value,"type":type1} + orConditions_list.append(Field) orConditions={"orConditions":orConditions_list} andConditions.append(orConditions) elif type1 == "string": orConditions_list=[] - Operator=["=","!=","Like","Not Like","notEmpty"] - randomOperator_1= random.sample(Operator, 1) - randomOperator=randomOperator_1[0] - value=[] - if randomOperator == "=" or randomOperator == "!=": - value.append(str(number)) - elif randomOperator == "Like" or randomOperator == "Not Like": - value.append(randomstr) - elif randomOperator=="notEmpty": - value=[] - Field={"name":name,"expression":randomOperator,"value":value,"type":type1} - orConditions_list.append(Field) - orConditions={"orConditions":orConditions_list} + Operator=["=","!=","Like","Not Like","notEmpty","empty"] + if testpoint=="Filter": + for op in Operator: + value=[] + if op == "=" or op == "!=": + value.append(str(number)) + elif op == "Like" or op == "Not Like": + value.append(randomstr) + elif op=="notEmpty" or op == "empty": + value=[] + Field={"name":name,"expression":op,"value":value,"type":type1} + orConditions_list.append(Field) + else: + randomOperator_1 = random.sample(Operator, 1) + randomOperator = randomOperator_1[0] + value = [] + if randomOperator == "=" or randomOperator == "!=": + value.append(str(number)) + elif randomOperator == "Like" or randomOperator == "Not Like": + value.append(randomstr) + elif randomOperator == "notEmpty": + value = [] + Field = {"name": name, "expression": randomOperator, "value": value, "type": type1} + orConditions_list.append(Field) + orConditions = {"orConditions": orConditions_list} andConditions.append(orConditions) else: @@ -175,26 +208,45 @@ def filterCondition(schemajson,testpoint): if type1 == "int" or type1 == "long": orConditions_list=[] Operator=["=","!=",">","<",">=","<="] - randomOperator= random.sample(Operator, 1) - value=[str(number)] - Field={"name":name,"expression":randomOperator[0],"value":value,"type":type1} - orConditions_list.append(Field) + if testpoint == "Filter": + for op in Operator: + value=[str(number)] + Field={"name":name,"expression":op,"value":value,"type":type1} + orConditions_list.append(Field) + else: + randomOperator= random.sample(Operator, 1) + value=[str(number)] + Field={"name":name,"expression":randomOperator[0],"value":value,"type":type1} + orConditions_list.append(Field) orConditions={"orConditions":orConditions_list} andConditions.append(orConditions) elif type1 == "string": orConditions_list=[] - Operator=["=","!=","Like","Not Like","notEmpty"] - randomOperator_1= random.sample(Operator, 1) - randomOperator=randomOperator_1[0] - value=[] - if randomOperator == "=" or randomOperator == "!=": - value.append(str(number)) - elif randomOperator == "Like" or randomOperator == "Not Like": - value.append(randomstr) - elif randomOperator=="notEmpty": + Operator=["=","!=","Like","Not Like","notEmpty","empty"] + if testpoint == "Filter": + for op in Operator: + randomOperator = op + value = [] + if randomOperator == "=" or randomOperator == "!=": + value.append(str(number)) + elif randomOperator == "Like" or randomOperator == "Not Like": + value.append(randomstr) + elif randomOperator == "notEmpty": + value = [] + Field = {"name": name, "expression": randomOperator, "value": value, "type": type1} + orConditions_list.append(Field) + else: + randomOperator_1= random.sample(Operator, 1) + randomOperator=randomOperator_1[0] value=[] - Field={"name":name,"expression":randomOperator,"value":value,"type":type1} - orConditions_list.append(Field) + if randomOperator == "=" or randomOperator == "!=": + value.append(str(number)) + elif randomOperator == "Like" or randomOperator == "Not Like": + value.append(randomstr) + elif randomOperator=="notEmpty": + value=[] + Field={"name":name,"expression":randomOperator,"value":value,"type":type1} + orConditions_list.append(Field) orConditions={"orConditions":orConditions_list} andConditions.append(orConditions) @@ -203,70 +255,123 @@ def filterCondition(schemajson,testpoint): conrandomstraints=k["doc"]["constraints"] type1 = k["type"] if type1 == "int" or type1 == "long": + orConditions_list = [] Operator=["=","!=",">","<",">=","<="] - randomOperator_1= random.sample(Operator, 1) - randomOperator=randomOperator_1[0] - if conrandomstraints["type"] == "timestamp": - #获取当前时间戳 - t = int(time.time()) - orConditions_list=[] - value=[str(t)] - Field={"name":name,"expression":randomOperator,"value":value,"type":type1} - orConditions_list.append(Field) - orConditions={"orConditions":orConditions_list} - andConditions.append(orConditions) - - elif type1 == "string": - Operator=["=","!=","Like","Not Like","notEmpty"] - randomOperator_1= random.sample(Operator, 1) - randomOperator=randomOperator_1[0] - if conrandomstraints["type"] == "ip": - orConditions_list=[] - #获取ip - ip =random_ipv4() - value=[] - if randomOperator == "=" or randomOperator == "!=": - value.append(ip) - elif randomOperator == "Like" or randomOperator == "Not Like": - value.append(ip) - elif randomOperator=="notEmpty": - value=[] - Field={"name":name,"expression":randomOperator,"value":value,"type":type1} - orConditions_list.append(Field) - orConditions={"orConditions":orConditions_list} - andConditions.append(orConditions) - elif conrandomstraints["type"] == "email": - orConditions_list=[] - Operator=["=","!=","Like","Not Like","notEmpty"] + if testpoint == "Filter": + for op in Operator: + randomOperator = op + if conrandomstraints["type"] == "timestamp": + # 获取当前时间戳 + t = int(time.time()) + value = [str(t)] + Field = {"name": name, "expression": randomOperator, "value": value, + "type": type1} + orConditions_list.append(Field) + else: randomOperator_1= random.sample(Operator, 1) randomOperator=randomOperator_1[0] - #获取ip - emil =RandomEmail() - value=[] - if randomOperator == "=" or randomOperator == "!=": - value.append(emil) - elif randomOperator == "Like" or randomOperator == "Not Like": - value.append(emil) - elif randomOperator=="notEmpty": + if conrandomstraints["type"] == "timestamp": + #获取当前时间戳 + t = int(time.time()) + value=[str(t)] + Field={"name":name,"expression":randomOperator,"value":value,"type":type1} + orConditions_list.append(Field) + orConditions={"orConditions":orConditions_list} + andConditions.append(orConditions) + elif type1 == "string": + orConditions_list = [] + Operator=["=","!=","Like","Not Like","notEmpty","empty"] + if testpoint == "Filter": + if conrandomstraints["type"] == "ip": + for op in Operator: + # 获取ip + ip = random_ipv4() + value = [] + if op == "=" or op == "!=": + value.append(ip) + elif op == "Like" or op == "Not Like": + value.append(ip) + elif op == "notEmpty": + value = [] + Field = {"name": name, "expression": op, "value": value,"type": type1} + orConditions_list.append(Field) + elif conrandomstraints["type"] == "email": + for op in Operator: + randomOperator = op + Operator = ["=", "!=", "Like", "Not Like", "notEmpty","empty"] + randomOperator_1 = random.sample(Operator, 1) + randomOperator = randomOperator_1[0] + # 获取ip + emil = RandomEmail() + value = [] + if randomOperator == "=" or randomOperator == "!=": + value.append(emil) + elif randomOperator == "Like" or randomOperator == "Not Like": + value.append(emil) + elif randomOperator == "notEmpty": + value = [] + Field = {"name": name, "expression": randomOperator, "value": value, + "type": type1} + orConditions_list.append(Field) + else: + randomOperator_1= random.sample(Operator, 1) + randomOperator=randomOperator_1[0] + if conrandomstraints["type"] == "ip": + #获取ip + ip =random_ipv4() value=[] - Field={"name":name,"expression":randomOperator,"value":value,"type":type1} - orConditions_list.append(Field) - orConditions={"orConditions":orConditions_list} - andConditions.append(orConditions) + if randomOperator == "=" or randomOperator == "!=": + value.append(ip) + elif randomOperator == "Like" or randomOperator == "Not Like": + value.append(ip) + elif randomOperator=="notEmpty": + value=[] + Field={"name":name,"expression":randomOperator,"value":value,"type":type1} + orConditions_list.append(Field) + orConditions={"orConditions":orConditions_list} + andConditions.append(orConditions) + elif conrandomstraints["type"] == "email": + Operator=["=","!=","Like","Not Like","notEmpty","empty"] + randomOperator_1= random.sample(Operator, 1) + randomOperator=randomOperator_1[0] + #获取ip + emil =RandomEmail() + value=[] + if randomOperator == "=" or randomOperator == "!=": + value.append(emil) + elif randomOperator == "Like" or randomOperator == "Not Like": + value.append(emil) + elif randomOperator=="notEmpty": + value=[] + Field={"name":name,"expression":randomOperator,"value":value,"type":type1} + orConditions_list.append(Field) + orConditions={"orConditions":orConditions_list} + andConditions.append(orConditions) else: type1 = k["type"] orConditions_list=[] operator1 = k["doc"]["constraints"]["operator_functions"] operator2 = operator1.split(",") - operator3=random.sample(operator2,1) - operatordata=k["doc"]["data"] - code=[] - for i in operatordata: - code_1=i["code"] - code.append(code_1) - code2=random.sample(code, 1) - Field={"name":name,"expression":operator3[0],"value":code2,"type":type1} - orConditions_list.append(Field) + if testpoint == "Filter": + for op in operator2: + operatordata = k["doc"]["data"] + code = [] + for i in operatordata: + code_1 = i["code"] + code.append(code_1) + for co in code: + Field = {"name": name, "expression": op, "value": co, "type": type1} + orConditions_list.append(Field) + else: + operator3=random.sample(operator2,1) + operatordata=k["doc"]["data"] + code=[] + for i in operatordata: + code_1=i["code"] + code.append(code_1) + code2=random.sample(code, 1) + Field={"name":name,"expression":operator3[0],"value":code2,"type":type1} + orConditions_list.append(Field) orConditions={"orConditions":orConditions_list} andConditions.append(orConditions) filterCondition={"andConditions":andConditions} @@ -274,18 +379,19 @@ def filterCondition(schemajson,testpoint): return filterCondition #获取having条件的串 -def havingjson(schemajson,testpoint): +def havingjson(schemajson,testpoint,field): number = random.randint(0,100000) schemametrics=schemajson["data"]["doc"]["schema_query"]["metrics"] aggregation = schemajson["data"]["doc"]["schema_query"]["references"]["aggregation"] schemametrics.append("common_log_id") metricslist=[] if testpoint == "Having": - metricslist=schemametrics + metricslist.append(field) else: - metricslist= random.sample(schemametrics,3) + metricslist=random.sample(schemametrics, 4) fields = schemajson["data"]["fields"] operator=["=","!=",">","<",">=","<="] + Aggregate=["COUNT","AVG","SUM","MAX","MIN"] andConditions_list=[] #遍历的到的having条件列表 for i in metricslist: @@ -296,29 +402,44 @@ def havingjson(schemajson,testpoint): for v in aggregation: if type1 == v["type"]: orConditions_list=[] - functionsstr=v["functions"] - functionslist = functionsstr.split(",") - functions_1=random.sample(functionslist, 1) - if functions_1=="COUNT_DISTINCT" and type1 != "string": + if v["type"] != "string": + functionslist=Aggregate + else: + functionsstr=v["functions"] + functionslist = functionsstr.split(",") + if field == "common_log_id": + functionslist=["COUNT"] + if testpoint == "Having": + for functions_1 in functionslist: + for operator_1 in operator: + havingdict = {"name": name, "function": str.lower(functions_1), + "expression": operator_1, "value": str(number)} + orConditions_list.append(havingdict) + orConditions = {"orConditions": orConditions_list} + andConditions_list.append(orConditions) + else: functions_1=random.sample(functionslist, 1) - operator_1=random.sample(operator, 1) - havingdict={"name":name,"function":str.lower(functions_1[0]),"expression":operator_1[0],"value":str(number)} - orConditions_list.append(havingdict) - orConditions={"orConditions":orConditions_list} - andConditions_list.append(orConditions) + if functions_1=="COUNT_DISTINCT" and type1 != "string": + functions_1=random.sample(functionslist, 1) + operator_1=random.sample(operator, 1) + + havingdict={"name":name,"function":str.lower(functions_1[0]),"expression":operator_1[0],"value":str(number)} + orConditions_list.append(havingdict) + orConditions={"orConditions":orConditions_list} + andConditions_list.append(orConditions) havingCondition={"andConditions":andConditions_list} print("having",havingCondition) return havingCondition #拼接字符串 -def datasetjson(schemauerl,token,testname,logtype,testpoint): +def datasetjson(schemauerl,token,testname,logtype,testpoint,field): schema_new=schema(schemauerl,token,logtype) group_re=groupby(schema_new,logtype,testpoint) groupColumnList=group_re[0] group_randomstr=group_re[1] - queryColumnList=DataBindings(schema_new,group_randomstr,testpoint) - filterCondition_1=filterCondition(schema_new,testpoint) - havingjson_1=havingjson(schema_new,testpoint) + queryColumnList=DataBindings(schema_new,group_randomstr,testpoint,field) + filterCondition_1=filterCondition(schema_new,testpoint,field) + havingjson_1=havingjson(schema_new,testpoint,field) datasetdict = { "list": { "name":testname, @@ -494,52 +615,92 @@ def Reportsjson(chartId,testname): print("reportjson",json.dumps(reportJobdct_2)) return json.dumps(reportJobdct_2) -def ReportInterfaceTest(schemaurl,token,dataseturl,charurl,repporturl,datasetgeturl,chargeturl,testname,logtype,testpoint): +def ReportInterfaceTest(schemaurl,token,dataseturl,charurl,repporturl,datasetgeturl,chargeturl,testname,logtype,testpoint,field): headers = {"Content-Type": "application/json","Authorization": token} #dataset生成json串并发送请求 - _datasetjson=datasetjson(schemaurl,token,testname,logtype,testpoint) + _datasetjson=datasetjson(schemaurl,token,testname,logtype,testpoint,field) response1 = requests.post(url=dataseturl, data=_datasetjson, headers=headers) print("返回数据1",response1) code = response1.json()["code"] print("datasetcode:",code) assert code == 200 - #获取dataset的id + +# 获取dataset的id datasetget=requests.get(url=datasetgeturl,headers=headers) dasetget=datasetget.json() datesetid=dasetget["data"]["list"][0]["id"] - _datasetjson=json.loads(_datasetjson) - queryColumnList=_datasetjson["list"]["queryColumnList"] - groupColumnList=_datasetjson["list"]["groupColumnList"] +# Deleteinterfaces(dataseturl,token,datesetid) + # _datasetjson=json.loads(_datasetjson) + # queryColumnList=_datasetjson["list"]["queryColumnList"] + # groupColumnList=_datasetjson["list"]["groupColumnList"] #生成charlibrariesjson串 - charlibrariesjson=charjson(schemaurl, token,queryColumnList,groupColumnList,datesetid,testname,logtype) - response2 = requests.post(url=charurl, data=charlibrariesjson, headers=headers) - code = response2.json()["code"] - assert code == 200 - - #获取char libraries的id - charget=requests.get(url=chargeturl,headers=headers) - charget=charget.json() - charid=charget["data"]["list"][0]["id"] - - #report生成json串并发送请求 - reportjson=Reportsjson(charid,testname) - response3 = requests.post(url=repporturl, data=reportjson, headers=headers) - code = response3.json()["code"] - assert code == 200 + # charlibrariesjson=charjson(schemaurl, token,queryColumnList,groupColumnList,datesetid,testname,logtype) + # response2 = requests.post(url=charurl, data=charlibrariesjson, headers=headers) + # code = response2.json()["code"] + # assert code == 200 +# +# #获取char libraries的id +# charget=requests.get(url=chargeturl,headers=headers) +# charget=charget.json() +# charid=charget["data"]["list"][0]["id"] +# +# #report生成json串并发送请求 +# reportjson=Reportsjson(charid,testname) +# response3 = requests.post(url=repporturl, data=reportjson, headers=headers) +# code = response3.json()["code"] +# assert code == 200 +# + +# #循环调用ReportInterfaceTest方法 +# def ReportTest(host,token,dataseturl,charurl,repporturl,logtypelist): +# for logtype in logtypelist: +# testname="Report"+logtype +# datasetgeturl=dataseturl+"?pageSize=20&pageNo=1&id=&name="+testname+"&logType=&opStartTime=&opEndTime=&opUser=" +# chargeturl=charurl+"?pageSize=20&pageNo=1&id=&name="+testname+"&opUser=" +# schemaurl="http://"+host+":8080/v1/log/schema?logType="+logtype +# ReportInterfaceTest(schemaurl,token,dataseturl,charurl,repporturl,datasetgeturl,chargeturl,testname,logtype) + + +def Deleteinterfaces(url,token,id): + headers = {"Content-Type": "application/json","Authorization": token} + datedict={"ids":[id]} + datajson=json.dumps(datedict) + response1 = requests.delete(url=url, data=datajson, headers=headers) -#循环调用ReportInterfaceTest方法 -def ReportTest(host,token,dataseturl,charurl,repporturl,logtypelist,testpointlist): +def ReportPositiveTest(host,port,token,dataseturl,charurl,repporturl,logtypelist): +# testpoint=["DataBindings","Filter","Having"] + testpoint=["DataBindings"] for logtype in logtypelist: - for testpoint in testpointlist: - testname="Report"+logtype+testpoint - datasetgeturl=dataseturl+"?pageSize=20&pageNo=1&id=&name="+testname+"&logType=&opStartTime=&opEndTime=&opUser=" - chargeturl=charurl+"?pageSize=20&pageNo=1&id=&name="+testname+"&opUser=" - schemaurl="http://"+host+":8080/v1/log/schema?logType="+logtype - ReportInterfaceTest(schemaurl,token,dataseturl,charurl,repporturl,datasetgeturl,chargeturl,testname,logtype,testpoint) - + schemaurl="http://"+host+":"+port+"/v1/log/schema?logType="+logtype + schema_new=schema(schemaurl,token,logtype) + metrics = schema_new["data"]["doc"]["schema_query"]["metrics"] + schemafilters = schema_new["data"]["doc"]["schema_query"]["filters"] + metrics.append("common_log_id") + for j in testpoint: + if j == "DataBindings": + for filter in metrics: + testname="Report"+logtype+j+filter + dataset_geturl=dataseturl+"?pageSize=20&pageNo=1&id=&name="+testname+"&logType=&opStartTime=&opEndTime=&opUser=" + char_geturl=charurl+"?pageSize=20&pageNo=1&id=&name="+testname+"&opUser=" + ReportInterfaceTest(schemaurl,token,dataseturl,charurl,repporturl,dataset_geturl,char_geturl,testname,logtype,j,filter) + + if j == "Filter" : + for filter in schemafilters: + testname="Report"+logtype+j+filter + dataset_geturl=dataseturl+"?pageSize=20&pageNo=1&id=&name="+testname+"&logType=&opStartTime=&opEndTime=&opUser=" + char_geturl=charurl+"?pageSize=20&pageNo=1&id=&name="+testname+"&opUser=" + ReportInterfaceTest(schemaurl,token,dataseturl,charurl,repporturl,dataset_geturl,char_geturl,testname,logtype,j,filter) + + if j == "Having" : + for filter in metrics: + testname="Report"+logtype+j+filter + dataset_geturl=dataseturl+"?pageSize=20&pageNo=1&id=&name="+testname+"&logType=&opStartTime=&opEndTime=&opUser=" + char_geturl=charurl+"?pageSize=20&pageNo=1&id=&name="+testname+"&opUser=" + ReportInterfaceTest(schemaurl,token,dataseturl,charurl,repporturl,dataset_geturl,char_geturl,testname,logtype,j,filter) +