我試圖提取dsId
的值,但無法做到這一點。Soapui如何提取某個值表格json響應
請在下面找到詳細信息。其中我的工作
Groovy腳本是:
import groovy.json.JsonSlurper
def response = messageExchange.response.responseContent
log.info response
def slurper = new JsonSlurper()
def json = slurper.parseText response
log.info json
log.info json.New England Schools__NE Schools$.dsId
我的JSON響應如下,請幫助also want to extract value of ZIP
{
"New England Schools__NE Schools$": {
"dsId": "ds_608",
"type": "Account",
"numericCols": [
"ZIP",
"Count Free Lunch",
"Count Reduced Lunch",
"Total Lunch Pgm",
"Total Students",
"PreKindergarten",
"Kindergarten",
"Grade 1",
"Grade 2",
"Grade 3",
"Grade 4",
"Grade 5",
"Grade 6",
"Grade 7",
"Grade 8",
"Grade 9",
"Grade 10",
"Grade 11",
"Grade 12"
],
"data": null,
"AggNumericData": [
{
"ZIP": 19949795,
"Count Free Lunch": 263596,
"Count Reduced Lunch": 71799,
"Total Lunch Pgm": 331987,
"Total Students": 1796594,
"PreKindergarten": 36553,
"Kindergarten": 151898,
"Grade 1": 164370,
"Grade 2": 169418,
"Grade 3": 173748,
"Grade 4": 175505,
"Grade 5": 179357,
"Grade 6": 177978,
"Grade 7": 174655,
"Grade 8": 170192,
"Grade 9": 178423,
"Grade 10": 162045,
"Grade 11": 147564,
"Grade 12": 133368
}
],
"MinMax": [],
"dsData": "Account Id#%#Territory#%#District#%#Area#%#Region#%#objname#%#~ID~#%#~Lat-Lon Linked~#%#~Latitude~#%#~Longitude~#%#~Lat-Lon Zip~#%#School Name#%#Address#%#City#%#State#%#ZIP#%#ZIP4#%#School Type#%#Status#%#School Level#%#Count Free Lunch#%#Count Reduced Lunch#%#Total Lunch Pgm#%#Total Students#%#PreKindergarten#%#Kindergarten#%#Grade 1#%#Grade 2#%#Grade 3#%#Grade 4#%#Grade 5#%#Grade 6#%#Grade 7#%#Grade 8#%#Grade 9#%#Grade 10#%#Grade 11#%#Grade 12#%#Territory1#%#Region1#%#lat#%#lon#%#terrid\r\n15709#%#Hartford, CT#%#New England#%#Unassigned#%#Unassigned#%#Account#%#15709#%#True#%#41.934711#%#-72.770021#%#06026#%#R. DUDLEY SEYMOUR SCHOOL#%#185 HARTFORD AVENUE#%#EAST GRANBY#%#CT#%#6026#%#9520#%#1#%#1#%#2#%#0#%#0#%#0#%#131#%#0#%#0#%#0#%#0#%#0#%#60#%#71#%#0#%#0#%#0#%#0#%#0#%#0#%#0#%#Hartford, CT#%#New England#%#5151204.33051376#%#-8100721.57141633#%#3\r\n15707#%#Hartford, CT#%#New England#%#Unassigned#%#Unassigned#%#Account#%#15707#%#True#%#41.934894#%#-72.730656#%#06026#%#EAST GRANBY HIGH SCHOOL#%#95 SOUTH MAIN STREET#%#EAST GRANBY#%#CT#%#6026#%#9550#%#1#%#1#%#3#%#0#%#0#%#0#%#219#%#0#%#0#%#0#%#0#%#0#%#0#%#0#%#0#%#0#%#0#%#57#%#55#%#53#%#54#%#Hartford, CT#%#New England#%#5151231.26605957#%#-8096340.03625871#%#3\r\n15708#%#Hartford, CT#%#New England#%#Unassigned#%#Unassigned#%#Account#%#15708#%#True#%#41.934894#%#-72.730656#%#06026#%#EAST GRANBY MIDDLE SCHOOL#%#95 SOUTH MAIN STREET#%#EAST GRANBY#%#CT#%#6026#%#9550#%#1#%#1#%#2#%#0#%#0#%#0#%#201#%#0#%#0#%#0#%#0#%#0#%#0#%#0#%#67#%#73#%#61#%#0#%#0#%#0#%#0#%#Hartford, CT#%#New England#%#5151231.26605957#%#-8096340.03625871#%#3\r\n15706#%#Hartford, CT#%#New England#%#Unassigned#%#Unassigned#%#Account#%#15706#%#True#%#41.944215#%#-72.732696#%#06026#%#ALLGROVE SCHOOL#%#33 TURKEY HILLS ROAD#%#EAST GRANBY#%#CT#%#6026#%#9570#%#1#%#1#%#1#%#0#%#0#%#0#%#275#%#3#%#69#%#65#%#82#%#56#%#0#%#0#%#0#%#0#%#0#%#0#%#0#%#0#%#0#%#Hartford, CT#%#New England#%#5152627.52929053#%#-8096567.12801993#%#3\r\n15710#%#Hartford, CT#%#New England#%#Unassigned#%#Unassigned#%#Account#%#15710#%#True#%#41.944215#%#-72.732696#%#06026#%#HOMEBOUND#%#33 TURKEY HILL ROAD#%#EAST GRANBY#%#CT#%#6026#%#674#%#4#%#3#%#4#%#0#%#0#%#0#%#0#%#0#%#0#%#0#%#0#%#0#%#0#%#0#%#0#%#0#%#0#%#0#%#0#%#0#%#0#%#Hartford, CT#%#New England#%#5152627.52929053#%#-8096567.12801993#%#3\r\n15923#%#Hartford, CT#%#New England#%#Unassigned#%#Unassigned#%#Account#%#15923#%#True#%#42.0027#%#-72.942#%#06027#%#HOMEBOUND#%#30 SOUTH ROAD#%#EAST HARTLAND#%#CT#%#6027#%#9710#%#4#%#3#%#4#%#0#%#0#%#0#%#0#%#0#%#0#%#0#%#0#%#0#%#0#%#0#%#0#%#0#%#0#%#0#%#0#%#0#%#0#%#Hartford, CT#%#New England#%#5161383.89953631#%#-8119866.29744296#%#3\r\n15922#%#Hartford, CT#%#New England#%#Unassigned#%#Unassigned#%#Account#%#15922#%#True#%#42.0027#%#-72.942#%#06027#%#HARTLAND ELEMENTARY SCHOOL#%#30 SOUTH ROAD#%#EAST HARTLAND#%#CT#%#6027#%#9710#%#1#%#1#%#1#%#0#%#0#%#0#%#2#%#0#%#25#%#17#%#26#%#29#%#37#%#36#%#38#%#35#%#40#%#0#%#0#%#0#%#0#%#Hartford, CT#%#New England#%#5161383.89953631#%#-8119866.29744296#%#3\r\n16335#%#}
喜在dsData你可以看到有一些帶有值的列名如何提取特定數據?
喜饒@ PLZ看看此http://計算器。com/questions/38007809/soapui-how-to-extract-column-specific-data-form-the-json-response –