SoapUi- Wie Spalte spezifische Daten, die die JSON-Antwort

Question

Hallo ich möchte bilden extrahieren Spalte spezifische Daten bilden die Json Antwort

{ 
    "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#%#} 

mein groovy Skript extrahieren ist

log.info json."New England Schools__NE Schools\$".dsData 

Die obigen druckt alle Daten drin mit Spalte und seine Daten aber i am not sure how to get column specific data bitte helfen.

Zum Beispiel ist Territory meine Spalte und sein Zeilenwert ist Hartford, CT

Wenn oben nicht möglich ist, wie ich will, dann erklären Sie mir bitte, wie alle brechen die Antwort (Split Art der Sache wie wir in Java), damit ich einen bestimmten Wert nennen kann?

Answer 1

nachdem sie in das im Detail gesehen, bemerkt, dass es von #%# und Datensätze werden getrennt durch Wagenrücklauf und neue Linie Marker Daten in Form von Zeilen und Spalten, aufweist, getrennt ist.

Die Daten, die Sie zur Verfügung gestellt haben, haben einige zusätzliche Datensätze mit nur wenigen Feldern. Um ein funktionierendes Skript zur Verfügung zu stellen, musste das unerwünschte zusätzliche Feld am Ende abgeschnitten werden. Hier

ist die Groovy Script:

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') 
​ 

können Sie schnell auch die Ausgabe überprüfen, indem Sie die folgenden Schritte verwenden:
Click link => Bearbeiten in Console => Skript ausführen https://groovyconsole.appspot.com/script/5076918839803904

Wie Abfrage verschiedener Daten? Bereits das Skript mit den meisten Zeilen mit Kommentaren versehen. Sie können einfach getData() verwenden, um alle Daten davon abzurufen, übergeben Sie einfach die records, row number (menschliche lesbare Zählung beginnend mit 1) und den Feldnamen.

Beachten Sie, dass ich println verwendet habe, Sie können es bei Bedarf durch log.info in Soapui ersetzen.