在 SoapUi 中，如何从 json 响应中提取列特定数据？
In SoapUi, how to extract column specific data form the json response?
我想从 json 响应中提取特定于列的数据
{
"New England Schools__NE Schools$": {
"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#%#}
我的 Groovy 脚本是
log.info json."New England Schools__NE Schools$".dsData
上面打印了其中的所有数据以及列及其数据，但我不确定如何获取特定于列的数据。
例如，Territory是我的列，它的行值为Hartford, CT
如果以上无法按照我想要的方式进行，那么请告诉我如何打破所有响应（像我们在 Java 中所做的那样拆分事物）以便我可以调用特定值？
查看详细信息后，注意到它有行和列形式的数据，由 #%# 分隔，记录由 carriage return[= 分隔39=] 和 换行 标记。
您提供的数据有一些只有几个字段的额外记录，因此要提供一个有效的脚本，必须 trim 在它的末尾添加不需要的额外字段。
这是Groovy脚本:
def str = '''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'''
//split by carriage return and new line
def data = str.split('\r\n')
//split by field to get the just column names from header row
def headers = data[0].split('#%#')
//Create map with just header keys, so that it can be used while storing the data
def headerMap = [:]
headers.each { header ->
headerMap[header] = ''
}
/**
* Closure allows you to query the required data
* Need to pass all the records and row (human readable starting with 1) and header key/ field name
* so the information is displaced as well as returns matched value
*/
def getData = { recordList, row, field ->
println "Requested data : \n Row : ${row} \n Column : ${field} \n Column Value : ${recordList[row-1].get(field)}"
recordList[row-1].get(field)
}
// This is the variable which holds all the records
// And each record will be in the form of a map so that it can be queried easily based on the field
def records = []
for (i=1;i<data.size();i++) {
def fieldData = data[i].split('#%#')
def record = headerMap.clone()
if (fieldData.size() == headerMap.size()) {
def keys = headerMap.keySet()
for (j=0;j<keys.size();j++) {
record[keys[j]] = fieldData[j]
}
println record
//Add the record to records
records << record
}
}
//Some meta data information
println "Headers : ${headers}"
println "No of headers : ${headers.size()}"
println "No of rows : ${records.size()}"
/**
* Here is how you can query the specific data
* and since it returns value, you can also assign it variable as well
*/
getData(records, 1, 'Territory')
getData(records, 7, 'Account Id')
您还可以使用以下步骤快速验证输出：
单击 link => 在控制台中编辑 => 执行脚本
https://groovyconsole.appspot.com/script/5076918839803904
如何查询不同的数据？
已经适当地为脚本提供了大部分带有注释的行。
您可以只使用 getData() 从它检索任何数据，只需传递 records 、 row number（人类可读计数从 1 开始）和字段名称。
注意我用的是println，soapui中需要用的话可以换成log.info
我想从 json 响应中提取特定于列的数据
{
"New England Schools__NE Schools$": {
"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#%#}
我的 Groovy 脚本是
log.info json."New England Schools__NE Schools$".dsData
上面打印了其中的所有数据以及列及其数据，但我不确定如何获取特定于列的数据。
例如，Territory是我的列，它的行值为Hartford, CT
如果以上无法按照我想要的方式进行，那么请告诉我如何打破所有响应（像我们在 Java 中所做的那样拆分事物）以便我可以调用特定值？
查看详细信息后，注意到它有行和列形式的数据，由 #%# 分隔，记录由 carriage return[= 分隔39=] 和 换行 标记。
您提供的数据有一些只有几个字段的额外记录，因此要提供一个有效的脚本，必须 trim 在它的末尾添加不需要的额外字段。
这是Groovy脚本:
def str = '''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'''
//split by carriage return and new line
def data = str.split('\r\n')
//split by field to get the just column names from header row
def headers = data[0].split('#%#')
//Create map with just header keys, so that it can be used while storing the data
def headerMap = [:]
headers.each { header ->
headerMap[header] = ''
}
/**
* Closure allows you to query the required data
* Need to pass all the records and row (human readable starting with 1) and header key/ field name
* so the information is displaced as well as returns matched value
*/
def getData = { recordList, row, field ->
println "Requested data : \n Row : ${row} \n Column : ${field} \n Column Value : ${recordList[row-1].get(field)}"
recordList[row-1].get(field)
}
// This is the variable which holds all the records
// And each record will be in the form of a map so that it can be queried easily based on the field
def records = []
for (i=1;i<data.size();i++) {
def fieldData = data[i].split('#%#')
def record = headerMap.clone()
if (fieldData.size() == headerMap.size()) {
def keys = headerMap.keySet()
for (j=0;j<keys.size();j++) {
record[keys[j]] = fieldData[j]
}
println record
//Add the record to records
records << record
}
}
//Some meta data information
println "Headers : ${headers}"
println "No of headers : ${headers.size()}"
println "No of rows : ${records.size()}"
/**
* Here is how you can query the specific data
* and since it returns value, you can also assign it variable as well
*/
getData(records, 1, 'Territory')
getData(records, 7, 'Account Id')
您还可以使用以下步骤快速验证输出：
单击 link => 在控制台中编辑 => 执行脚本
https://groovyconsole.appspot.com/script/5076918839803904
如何查询不同的数据？
已经适当地为脚本提供了大部分带有注释的行。
您可以只使用 getData() 从它检索任何数据，只需传递 records 、 row number（人类可读计数从 1 开始）和字段名称。
注意我用的是println，soapui中需要用的话可以换成log.info