report接口测试关键字
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byb11
@@ -7,16 +7,11 @@ import ipaddress
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MAX_IPV4 = ipaddress.IPv4Address._ALL_ONES # 2 ** 32 - 1
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MAX_IPV6 = ipaddress.IPv6Address._ALL_ONES # 2 ** 128 - 1
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def random_ipv4():
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# return ipaddress.IPv4Address._randomstring_from_ip_int(
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# random.randint(0, MAX_IPV4)
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# )
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re="192.168.50.11"
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return re
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return ipaddress.IPv4Address._string_from_ip_int(
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random.randint(0, MAX_IPV4))
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def random_ipv6():
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return ipaddress.IPv6Address._randomstring_from_ip_int(
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random.randint(0, MAX_IPV6)
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)
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return ipaddress.IPv6Address._string_from_ip_int(
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random.randint(0, MAX_IPV6))
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#随机生成邮箱地址
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def RandomEmail( emailType=None, rang=None):
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@@ -37,8 +32,8 @@ def RandomEmail( emailType=None, rang=None):
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return _email
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#获取Schema
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def schema(schemauerl,token):
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url ="http://192.168.44.72:8080/v1/log/schema?logType=security_event_log"
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def schema(schemauerl,token,logtype):
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url ="http://192.168.44.72:8080/v1/log/schema?logType="+logtype
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headers = {"Content-Type":"application/x-www-form-urlencoded","Authorization":token}
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response = requests.get(url=url,headers=headers)
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return response.json()
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@@ -266,7 +261,7 @@ def filterCondition(schemajson):
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return filterCondition
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#获取having条件的串
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def Havinginfo(schemajson):
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def havingjson(schemajson):
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number = random.randint(0,100000)
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schemametrics=schemajson["data"]["doc"]["schema_query"]["metrics"]
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aggregation = schemajson["data"]["doc"]["schema_query"]["references"]["aggregation"]
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@@ -293,24 +288,20 @@ def Havinginfo(schemajson):
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havingdict={"name":name,"function":str.lower(functions_1[0]),"expression":operator_1[0],"value":str(number)}
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orConditions_list.append(havingdict)
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orConditions={"orConditions":orConditions_list}
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andConditions_list.append(orConditions)
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andConditions_list.append(orConditions)
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havingCondition={"andConditions":andConditions_list}
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print(havingCondition)
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return havingCondition
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#拼接字符串
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def datasetjson(schemauerl,token,testname):
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#获取Schema
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# aaa=["common_sled_ip","common_device_id","common_sessions","common_c2s_pkt_num"]
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schema_new=schema(schemauerl,token)
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def datasetjson(schemauerl,token,testname,logtype):
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schema_new=schema(schemauerl,token,logtype)
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group_re=groupby(schema_new)
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groupColumnList=group_re[0]
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group_randomstr=group_re[1]
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queryColumnList=DataBindings(schema_new,group_randomstr)
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filterCondition_1=filterCondition(schema_new)
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Havinginfo_1=Havinginfo(schema_new)
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havingjson_1=havingjson(schema_new)
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datasetdict = {
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"list": {
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"name":testname,
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@@ -318,80 +309,207 @@ def datasetjson(schemauerl,token,testname):
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"groupColumnList":groupColumnList,
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"queryColumnList":queryColumnList,
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"filterCondition":filterCondition_1,
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"havingCondition":Havinginfo_1
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# "isInitialize":0
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"havingCondition":havingjson_1
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}
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}
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print(datasetdict)
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print(json.dumps(datasetdict))
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return json.dumps(datasetdict)
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#拼接char得串
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def charjson(schemaurl,token,datasetjson):
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schema_new=schema(schemauerl,token)
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queryColumnList=datasetjson["list"]["queryColumnList"]
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#拼接char的json串
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def charjson(schemaurl,token,queryColumnList,groupColumnList,datasetid,testname,logtype):
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print("queryColumnList",queryColumnList)
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schema_new=schema(schemaurl,token,logtype)
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fields = schema_new["data"]["fields"]
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# 获取条件的label
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namelist=[]
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#获取条件得label
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for i in queryColumnList:
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for j in fields:
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if i == j["name"]:
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namelist.append(j[label])
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if i["name"] == j["name"]:
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j_label=j["label"]
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namelist.append(j_label)
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print("namelist",namelist)
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#获取聚合条件的label
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groupColumnlaberList=[]
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for i in groupColumnList:
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for j in fields:
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if i["name"] == j["name"]:
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j_label=j["label"]
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groupColumnlaberList.append(j_label)
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print("groupColumnlaberList",groupColumnlaberList)
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#图表类型列表
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chartType_1=["line","pie","bar","area","table"]
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chartType_2=["pie","bar","table"]
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chartType=[]
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#随机选择图表类型
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# #随机选择图表类型
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s=1
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for i in namelist:
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if i == "Receive Time" or i == "Start Time" or i == "End Time":
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chartType=random.sample(chartType_1, 1)
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else:
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chartType=random.sample(chartType_2, 1)
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if chartType[0] == "line":
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s+=1
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if s != 1:
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chartType=random.sample(chartType_1, 1)
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else:
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chartType=random.sample(chartType_2, 1)
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chardict={}
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print("chartType",chartType)
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if chartType[0] == "line" or chartType[0] == "area":
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dataBinding=[]
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#将时间条件赋值给dataBinding
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for j in namelist:
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if j == "Receive Time" or j == "Start Time" or j == "End Time":
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dataBinding.append(j)
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timelin={
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"dataBinding": dataBinding[0],
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"format": "Time"
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}
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print("timelin",timelin)
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namelist.remove(dataBinding[0]) #从统计查询数据列对象内去掉时间条件
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groupColumnlaberList.remove(dataBinding[0]) #从聚合条件内去掉时间的条件
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for i in groupColumnlaberList: #从统计查询条件内去掉聚合条件内的值
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namelist.remove(i)
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print("namelistrome",namelist)
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linlist=[]
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for i in namelist:
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lindict={
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"dataBinding": i,
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"type": "Line Up",
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"format": "Default",
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}
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linlist.append(lindict)
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listdict={
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"name": testname,
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"datasetId": datasetid,
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"datasetName": "",
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"chartType": chartType[0],
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"dataTop": 0,
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"orderBy": "",
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"orderDesc": 0,
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"drilldownTop": 0,
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"timeline": timelin,
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"line": linlist
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}
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chardict={"list": listdict}
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elif chartType[0] == "pie" or chartType[0] == "bar":
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xAxisdataBinding=random.sample(groupColumnlaberList, 1)
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xAxisdict={
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"dataBinding": xAxisdataBinding[0],
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"dataTop": 5,
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"dataType": ""
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}
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for i in groupColumnlaberList:
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namelist.remove(i)
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yAxisBinding=random.sample(namelist, 1)
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yAxisdict={
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"dataBinding": yAxisBinding[0],
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"format": "Default",
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}
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yAxislist=[yAxisdict]
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listdict={
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"name": testname,
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"datasetId": datasetid,
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"datasetName": "",
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"chartType": chartType[0],
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"dataTop": 0,
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"orderBy": "",
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"orderDesc": "",
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"xAxis": xAxisdict,
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"yAxis": yAxislist
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}
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chardict={"list": listdict}
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elif chartType[0] == "table":
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columnslist=[]
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for i in namelist:
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dataBindings={
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"dataType": "",
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"dataBinding": i,
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"format": "Default",
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}
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dataBindingslist=[]
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dataBindingslist.append(dataBindings)
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columnsdict={
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"title": i,
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"width": 0,
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"dataBindings": dataBindingslist
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}
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columnslist.append(columnsdict)
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listdict={
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"name": testname,
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"datasetId": datasetid,
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"datasetName": "",
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"chartType": "table",
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"dataTop": 5,
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"orderBy": "",
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"orderDesc": "",
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"drilldownTop": 5,
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"tableType": "Regular",
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"columns": columnslist
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}
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chardict={"list": listdict}
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print(json.dumps(chardict))
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return json.dumps(chardict)
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elif chartType[0] == "pie":
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print(111)
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elif chartType[0] == "bar":
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print(111)
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elif chartType[0] == "area":
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print(111)
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elif chartType[0] == "table":
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print(111)
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def ReportInterfaceTest(schemaurl,token,dataseturl,datasetgeturl,testname):
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def Reportsjson(chartId,testname):
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charlist=[]
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chardict={
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"chartId": chartId,
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"timeGranulartiy": 1,
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"timeUnit": "",
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# "disabled": true
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}
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charlist.append(chardict)
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reportJobList=[]
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reportJobdct_1={
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"rangeType": "last",
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"rangeInterval": 1,
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"rangeUnit": "week",
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"jobName": testname,
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"scheduleId": "",
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"chartList": charlist,
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"isNotice": 0,
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"noticeMethod": "",
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"startTime": "",
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"endTime": "",
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"filterCondition": None,
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"isDisplayTrafficTrend": 1
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}
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reportJobdct_2={"reportJobList": reportJobdct_1}
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print(json.dumps(reportJobdct_2))
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return json.dumps(reportJobdct_2)
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def ReportInterfaceTest(schemaurl,token,dataseturl,charurl,repporturl,datasetgeturl,chargeturl,testname,logtype):
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headers = {"Content-Type": "application/json","Authorization": token}
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reportjsom=datasetjson(schemaurl, token,testname)
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response1 = requests.post(url=dataseturl, data=reportjsom, headers=headers)
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print("返回数据",response1)
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#dataset生成json串并发送请求
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_datasetjson=datasetjson(schemaurl, token,testname,logtype)
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response1 = requests.post(url=dataseturl, data=_datasetjson, headers=headers)
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print("返回数据1",response1)
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code = response1.json()["code"]
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print("code:",code)
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print("datasetcode:",code)
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assert code == 200
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#获取id
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#获取dataset的id
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datasetget=requests.get(url=datasetgeturl,headers=headers)
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print(datasetget.json())
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dasetget=datasetget.json()
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id=dasetget["data"]["list"][0]["id"]
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return id
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datesetid=dasetget["data"]["list"][0]["id"]
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_datasetjson=json.loads(_datasetjson)
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queryColumnList=_datasetjson["list"]["queryColumnList"]
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groupColumnList=_datasetjson["list"]["groupColumnList"]
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#生成charlibrariesjson串
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charlibrariesjson=charjson(schemaurl, token,queryColumnList,groupColumnList,datesetid,testname,logtype)
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response2 = requests.post(url=charurl, data=charlibrariesjson, headers=headers)
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code = response2.json()["code"]
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assert code == 200
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#获取char libraries的id
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charget=requests.get(url=chargeturl,headers=headers)
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charget=charget.json()
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charid=charget["data"]["list"][0]["id"]
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#report生成json串并发送请求
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reportjson=Reportsjson(charid,testname)
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response3 = requests.post(url=repporturl, data=reportjson, headers=headers)
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code = response3.json()["code"]
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assert code == 200
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@@ -400,3 +518,4 @@ def ReportInterfaceTest(schemaurl,token,dataseturl,datasetgeturl,testname):
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