<![CDATA[Micro Focus QTP (UFT) Forums - All Forums]]> https://www.learnqtp.com/forums/ Tue, 30 Jun 2026 14:02:57 +0000 MyBB <![CDATA[UFT24.2 and Chrome Browser is not resnponding mode]]> https://www.learnqtp.com/forums/Thread-UFT24-2-and-Chrome-Browser-is-not-resnponding-mode Tue, 12 Nov 2024 06:03:26 -0600 kotaramamohana]]> https://www.learnqtp.com/forums/Thread-UFT24-2-and-Chrome-Browser-is-not-resnponding-mode
We have Manhattan Web application(Chrome Browser), and UFT 24.2 we are keeping breakpoint after some steps executed, Once UFT is reached breakpoint, we are clicking continue button, Then UFT and Browser is not in responding mode even though we have waited more than 10 mins. This issue we have not faced in UFT 15.0.2 version. 

Any Suggestions or guidance is appreciated
Note: If we are not keeping breakpoints in the script, Test script is executed without any issues]]>
We have Manhattan Web application(Chrome Browser), and UFT 24.2 we are keeping breakpoint after some steps executed, Once UFT is reached breakpoint, we are clicking continue button, Then UFT and Browser is not in responding mode even though we have waited more than 10 mins. This issue we have not faced in UFT 15.0.2 version. 

Any Suggestions or guidance is appreciated
Note: If we are not keeping breakpoints in the script, Test script is executed without any issues]]> <![CDATA[How to send/pass UFT Run Error Dialog as output value to main driver script]]> https://www.learnqtp.com/forums/Thread-How-to-send-pass-UFT-Run-Error-Dialog-as-output-value-to-main-driver-script Sun, 05 Nov 2023 04:25:41 -0600 lravi4u]]> https://www.learnqtp.com/forums/Thread-How-to-send-pass-UFT-Run-Error-Dialog-as-output-value-to-main-driver-script
I am struck at one place from past 2 days. Tried different solutions provided in different blogs, but I am missing something. My query is as below.
I am unable to get the status (Err.Number or success) as output value to Driver script which in turn is calling the individual scripts using the LoadAndRunAction.
How do I get the status.
I am attaching the document with all the steps I followed.

Please reply asap. Thanks in advance.


Thanks,
Ravikanth
99633666680

.doc   How to get status pass or fail of child script called from Driver script through LoadAndRunAction.doc (Size: 218 KB / Downloads: 158) ]]>
I am struck at one place from past 2 days. Tried different solutions provided in different blogs, but I am missing something. My query is as below.
I am unable to get the status (Err.Number or success) as output value to Driver script which in turn is calling the individual scripts using the LoadAndRunAction.
How do I get the status.
I am attaching the document with all the steps I followed.

Please reply asap. Thanks in advance.


Thanks,
Ravikanth
99633666680

.doc   How to get status pass or fail of child script called from Driver script through LoadAndRunAction.doc (Size: 218 KB / Downloads: 158) ]]> <![CDATA[CyberArk CorePAS REST API to search for accounts]]> https://www.learnqtp.com/forums/Thread-CyberArk-CorePAS-REST-API-to-search-for-accounts Thu, 29 Jun 2023 04:41:52 -0500 pramod]]> https://www.learnqtp.com/forums/Thread-CyberArk-CorePAS-REST-API-to-search-for-accounts
Was expecting it to return two accounts with account names account_name1 and account_name2, but it returns an empty list.]]>
Was expecting it to return two accounts with account names account_name1 and account_name2, but it returns an empty list.]]> <![CDATA[Double click]]> https://www.learnqtp.com/forums/Thread-Double-click Sat, 11 Mar 2023 07:20:13 -0600 kiran664791]]> https://www.learnqtp.com/forums/Thread-Double-click
Set MyObject = Browser("MyBrowser").Page("MyPage").WebButton("MyButton")

[color=rgba(255, 255, 255, 0.5)]' Double-click the object tried this but it hasn't worked[/color]
MyObject.DoubleClick]]>
Set MyObject = Browser("MyBrowser").Page("MyPage").WebButton("MyButton")

[color=rgba(255, 255, 255, 0.5)]' Double-click the object tried this but it hasn't worked[/color]
MyObject.DoubleClick]]> <![CDATA[Issue with UI Automation Addin of UFT 15.0.2]]> https://www.learnqtp.com/forums/Thread-Issue-with-UI-Automation-Addin-of-UFT-15-0-2 Thu, 24 Feb 2022 03:31:33 -0600 skarthick]]> https://www.learnqtp.com/forums/Thread-Issue-with-UI-Automation-Addin-of-UFT-15-0-2
Observing the below issues while using UI Automation Addin for my application.

1) UFT behaves inconsistently while spying/ saving the UIA objects to Object Repository -- Either UFT is closing abruptly or showing error while saving OR
2) When I run the below code, for the same UIA Objects highlight statement is working (Refer line numbers 1 & 3). But other methods like Activate, Type, Click are showing error (refer line numbers 2 and 4)). Shows Run Error " Object Not Visible"

 LineNo 1     UIAWindow("XXX").UIAObject("YYY").Highlight
 LineNo 2     UIAWindow("XXX").UIAObject("YYY").Activate
 LineNo 3      UIAWindow("XXX").UIAObject("YYY").UIAHyperlink("Search").Highlight
 LineNo 4      UIAWindow("XXX").UIAObject("YYY").UIAHyperlink("Search").Click]]>
Observing the below issues while using UI Automation Addin for my application.

1) UFT behaves inconsistently while spying/ saving the UIA objects to Object Repository -- Either UFT is closing abruptly or showing error while saving OR
2) When I run the below code, for the same UIA Objects highlight statement is working (Refer line numbers 1 & 3). But other methods like Activate, Type, Click are showing error (refer line numbers 2 and 4)). Shows Run Error " Object Not Visible"

 LineNo 1     UIAWindow("XXX").UIAObject("YYY").Highlight
 LineNo 2     UIAWindow("XXX").UIAObject("YYY").Activate
 LineNo 3      UIAWindow("XXX").UIAObject("YYY").UIAHyperlink("Search").Highlight
 LineNo 4      UIAWindow("XXX").UIAObject("YYY").UIAHyperlink("Search").Click]]> <![CDATA[Unable to record JAVA Swing application with JAVA add-in]]> https://www.learnqtp.com/forums/Thread-Unable-to-record-JAVA-Swing-application-with-JAVA-add-in Wed, 24 Nov 2021 07:48:29 -0600 Mrudula Chinchanikar]]> https://www.learnqtp.com/forums/Thread-Unable-to-record-JAVA-Swing-application-with-JAVA-add-in
  • We have installed trial UFT One version which automatically add the environment variable like _JAVA_OPTIONS, JAVA_TOOL_OPTIONS and IBM_JAVA_OPTIONS in System environment variables.
    • When we try to open/invoke our desktop application which is developed in JAVA Swing, it is not able to invoke as UFT has already setup the _JAVA_OPTIONS, JAVA_TOOL_OPTIONS and IBM_JAVA_OPTIONS in System environment. When we remove these UFT _JAVA_OPTIONS, JAVA_TOOL_OPTIONS and IBM_JAVA_OPTIONS then we are able to invoke application.
    • We have tried to use batch file where we have set _JAVA_OPTIONS, JAVA_TOOL_OPTIONS and IBM_JAVA_OPTIONS and removed from System environment variables then UFT does not record any JAVA code, though we have selected Java add-ins. None of lines are getting recorded.


    • Values that are populated in  _JAVA_OPTIONS, JAVA_TOOL_OPTIONS and IBM_JAVA_OPTIONS are as below :

    • _JAVA_OPTIONS
      -Xrunjvmhook -Xbootclasspath/a:"C:\Program Files (x86)\Micro Focus\UFT One\bin\java_shared\classes\jasmine.jar"

      IBM_JAVA_OPTIONS
      -Xbootclasspath/a:"C:\Program Files (x86)\Micro Focus\UFT One\bin\java_shared\classes\jasmine.jar"

      JAVA_TOOL_OPTIONS
      -agentlib:jvmhook

    • So if anyone faced this kind of situation then please help us in resolving this kind of case and how to setup _JAVA_OPTIONS, JAVA_TOOL_OPTIONS and IBM_JAVA_OPTIONS differently.
    ]]>
  • We have installed trial UFT One version which automatically add the environment variable like _JAVA_OPTIONS, JAVA_TOOL_OPTIONS and IBM_JAVA_OPTIONS in System environment variables.
    • When we try to open/invoke our desktop application which is developed in JAVA Swing, it is not able to invoke as UFT has already setup the _JAVA_OPTIONS, JAVA_TOOL_OPTIONS and IBM_JAVA_OPTIONS in System environment. When we remove these UFT _JAVA_OPTIONS, JAVA_TOOL_OPTIONS and IBM_JAVA_OPTIONS then we are able to invoke application.
    • We have tried to use batch file where we have set _JAVA_OPTIONS, JAVA_TOOL_OPTIONS and IBM_JAVA_OPTIONS and removed from System environment variables then UFT does not record any JAVA code, though we have selected Java add-ins. None of lines are getting recorded.


    • Values that are populated in  _JAVA_OPTIONS, JAVA_TOOL_OPTIONS and IBM_JAVA_OPTIONS are as below :

    • _JAVA_OPTIONS
      -Xrunjvmhook -Xbootclasspath/a:"C:\Program Files (x86)\Micro Focus\UFT One\bin\java_shared\classes\jasmine.jar"

      IBM_JAVA_OPTIONS
      -Xbootclasspath/a:"C:\Program Files (x86)\Micro Focus\UFT One\bin\java_shared\classes\jasmine.jar"

      JAVA_TOOL_OPTIONS
      -agentlib:jvmhook

    • So if anyone faced this kind of situation then please help us in resolving this kind of case and how to setup _JAVA_OPTIONS, JAVA_TOOL_OPTIONS and IBM_JAVA_OPTIONS differently.
    ]]>         <![CDATA[How to Deal with AngularJS Applications with UFT 15]]> https://www.learnqtp.com/forums/Thread-How-to-Deal-with-AngularJS-Applications-with-UFT-15 Thu, 29 Jul 2021 11:23:45 -0500 nistalaramesh]]> https://www.learnqtp.com/forums/Thread-How-to-Deal-with-AngularJS-Applications-with-UFT-15 I Installed Following addons = AG-Grid & UI-Grid still not able to proceed further.
    I tried to record on the Application using only Web, AG Grid, UI Grid Addons. But that also not worked.

    As per documentation UFT 15 should work on AngularJS Applications, Will it really work?
    Do i need to install any other addon(s)? Any Settings need to be  Changed inside?
    Please help me to proceed further.

    Getting this type of script on Recording Web Application.

    Window("<Window Name>").Activate
    Window("<Window Name>").Maximize
    Window("<Window Name>").WinObject("Chrome Legacy Window").Drag 1772,21
    Window("<Window Name>").WinObject("Chrome Legacy Window").Drop 1771,16
    Window("<Window Name>").WinObject("Chrome Legacy Window").Drag 1863,27
    Window("<Window Name>").WinObject("Chrome Legacy Window").Drop 1864,22
    Window("<Window Name>").WinObject("Chrome Legacy Window").Drag 1290,336
    Window("<Window Name>").WinObject("Chrome Legacy Window").Drop 1292,329]]>     I Installed Following addons = AG-Grid & UI-Grid still not able to proceed further.
    I tried to record on the Application using only Web, AG Grid, UI Grid Addons. But that also not worked.

    As per documentation UFT 15 should work on AngularJS Applications, Will it really work?
    Do i need to install any other addon(s)? Any Settings need to be  Changed inside?
    Please help me to proceed further.

    Getting this type of script on Recording Web Application.

    Window("<Window Name>").Activate
    Window("<Window Name>").Maximize
    Window("<Window Name>").WinObject("Chrome Legacy Window").Drag 1772,21
    Window("<Window Name>").WinObject("Chrome Legacy Window").Drop 1771,16
    Window("<Window Name>").WinObject("Chrome Legacy Window").Drag 1863,27
    Window("<Window Name>").WinObject("Chrome Legacy Window").Drop 1864,22
    Window("<Window Name>").WinObject("Chrome Legacy Window").Drag 1290,336
    Window("<Window Name>").WinObject("Chrome Legacy Window").Drop 1292,329]]>         <![CDATA[Best method to use for automating 1000 records]]> https://www.learnqtp.com/forums/Thread-Best-method-to-use-for-automating-1000-records Wed, 21 Jul 2021 13:12:09 -0500 shuhale]]> https://www.learnqtp.com/forums/Thread-Best-method-to-use-for-automating-1000-records Will some one guide me in automating a form which contains hundreds of input(web Edit) as one of the form fields which changes on its one property name. I am trying to parameterize the same property and want to use repeatedly for all hundreds of  such fields and also parameterizing the values to be entered. But I don't know how to put into code for object property parameterization through DP. . If you can help me in thIS matter that would be great help to me!
    May thanks in advance!!]]>     Will some one guide me in automating a form which contains hundreds of input(web Edit) as one of the form fields which changes on its one property name. I am trying to parameterize the same property and want to use repeatedly for all hundreds of  such fields and also parameterizing the values to be entered. But I don't know how to put into code for object property parameterization through DP. . If you can help me in thIS matter that would be great help to me!
    May thanks in advance!!]]>         <![CDATA[ActiveX component can't create object: 'JavaWindow']]> https://www.learnqtp.com/forums/Thread-ActiveX-component-can-t-create-object-JavaWindow Thu, 07 Jan 2021 01:42:30 -0600 JayeshK]]> https://www.learnqtp.com/forums/Thread-ActiveX-component-can-t-create-object-JavaWindow Can someone let me know what is the issue in it.

    [img]data:image/png;base64,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[/img]]]>     Can someone let me know what is the issue in it.

    [img]data:image/png;base64,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[/img]]]>         <![CDATA[UFT Parallel Runner]]> https://www.learnqtp.com/forums/Thread-UFT-Parallel-Runner Thu, 24 Dec 2020 01:27:16 -0600 raa]]> https://www.learnqtp.com/forums/Thread-UFT-Parallel-Runner CLI <parallelrunner -t -b -r >worked but somehow it is triggering 2 instance and instead of running it in parallel, the observation was it triggered one after another. so just wanted to understand on what basis it is triggering 2 instance? how to trigger maximum instance( ie 4) and how to make it work simultaneously ( in parallel). TIA]]> CLI <parallelrunner -t -b -r >worked but somehow it is triggering 2 instance and instead of running it in parallel, the observation was it triggered one after another. so just wanted to understand on what basis it is triggering 2 instance? how to trigger maximum instance( ie 4) and how to make it work simultaneously ( in parallel). TIA]]> <![CDATA[Is VBScripting disabled in Office 365 update?]]> https://www.learnqtp.com/forums/Thread-Is-VBScripting-disabled-in-Office-365-update Sat, 19 Dec 2020 01:07:56 -0600 soumyarani]]> https://www.learnqtp.com/forums/Thread-Is-VBScripting-disabled-in-Office-365-update Recently Microsoft published that they will be disabling the VBScripting in-office client application? Has this been completely done? In case yes, Is there a way out to run vb scripting (Pega) via another root?

    -Thanks Ankur]]>     Recently Microsoft published that they will be disabling the VBScripting in-office client application? Has this been completely done? In case yes, Is there a way out to run vb scripting (Pega) via another root?

    -Thanks Ankur]]>         <![CDATA[picking different points in UFT using VB Script]]> https://www.learnqtp.com/forums/Thread-picking-different-points-in-UFT-using-VB-Script Sun, 13 Dec 2020 22:27:38 -0600 azjk786]]> https://www.learnqtp.com/forums/Thread-picking-different-points-in-UFT-using-VB-Script               I am new to UFT ,  i m  doing automation of our software in which i have to left  click on several(say 5  left  clicks on different points) points on any image and every left click should pick different X and Y values, but currently UFT picks same points i.e. first point is applied to all. and it does not work, kindly help me  , manaull it is working fine but in automation it is getting  problem, we are using VBscript, my  code is given below

    JavaWindow("label:=Galaxy 4D.*").JavaInternalFrame("text:=Digitize Image").JavaObject("tagname:=JScrollPane","toolkit class:=javax.swing.JScrollPane").Click 201,328,"LEFT"
    wait 15

    JavaWindow("label:=Galaxy 4D.*").JavaInternalFrame("text:=Digitize Image").JavaObject("tagname:=JScrollPane","toolkit class:=javax.swing.JScrollPane").Click 211,340,"LEFT"
    wait 15
    JavaWindow("label:=Galaxy 4D.*").JavaInternalFrame("text:=Digitize Image").JavaObject("tagname:=JScrollPane","toolkit class:=javax.swing.JScrollPane").Click 227,351,"LEFT"
    wait 15
    JavaWindow("label:=Galaxy 4D.*").JavaInternalFrame("text:=Digitize Image").JavaObject("tagname:=JScrollPane","toolkit class:=javax.swing.JScrollPane").Click 231,359,"LEFT"
    wait 15
    JavaWindow("label:=Galaxy 4D.*").JavaInternalFrame("text:=Digitize Image").JavaObject("tagname:=JScrollPane","toolkit class:=javax.swing.JScrollPane").Click 237,365,"LEFT"
    wait 15
    ']]>                   I am new to UFT ,  i m  doing automation of our software in which i have to left  click on several(say 5  left  clicks on different points) points on any image and every left click should pick different X and Y values, but currently UFT picks same points i.e. first point is applied to all. and it does not work, kindly help me  , manaull it is working fine but in automation it is getting  problem, we are using VBscript, my  code is given below

    JavaWindow("label:=Galaxy 4D.*").JavaInternalFrame("text:=Digitize Image").JavaObject("tagname:=JScrollPane","toolkit class:=javax.swing.JScrollPane").Click 201,328,"LEFT"
    wait 15

    JavaWindow("label:=Galaxy 4D.*").JavaInternalFrame("text:=Digitize Image").JavaObject("tagname:=JScrollPane","toolkit class:=javax.swing.JScrollPane").Click 211,340,"LEFT"
    wait 15
    JavaWindow("label:=Galaxy 4D.*").JavaInternalFrame("text:=Digitize Image").JavaObject("tagname:=JScrollPane","toolkit class:=javax.swing.JScrollPane").Click 227,351,"LEFT"
    wait 15
    JavaWindow("label:=Galaxy 4D.*").JavaInternalFrame("text:=Digitize Image").JavaObject("tagname:=JScrollPane","toolkit class:=javax.swing.JScrollPane").Click 231,359,"LEFT"
    wait 15
    JavaWindow("label:=Galaxy 4D.*").JavaInternalFrame("text:=Digitize Image").JavaObject("tagname:=JScrollPane","toolkit class:=javax.swing.JScrollPane").Click 237,365,"LEFT"
    wait 15
    ']]>         <![CDATA[active screen in uft one]]> https://www.learnqtp.com/forums/Thread-active-screen-in-uft-one Tue, 01 Dec 2020 06:15:54 -0600 koslender]]> https://www.learnqtp.com/forums/Thread-active-screen-in-uft-one does anyone know the solution?? pls suggest some solution]]> does anyone know the solution?? pls suggest some solution]]> <![CDATA[Action Parameterization Issue]]> https://www.learnqtp.com/forums/Thread-Action-Parameterization-Issue Thu, 29 Oct 2020 12:06:47 -0500 Slothman]]> https://www.learnqtp.com/forums/Thread-Action-Parameterization-Issue
    I'm currently going through a Udemy Course on UFT, and am learning quite a bit, but sometimes even though I've copied the code verbatim from the course instructor, I am getting errors.


    Here is one such issue I'm having today with Action Parameterization.

    Looks pretty basic, but I'm getting this error:

    You specified more parameters in your RunAction statement than the number of parameters defined for the action.
    Line (8): "RunAction "Copy of Action1", oneIteration, a, b, c".

    a and b have been set up in properties as input parameters (number, default 0)
    c has been set up in properties as an output parameter (number)

    I'm running UFT version 14.03 Build 3745


    Here is the exact code:

    Action:
    ------------------------------------------------------------
    a=10
    b=20

    RunAction "Copy of Action1", oneIteration, a, b, c

    msgbox c

    ---------------------------------------------------------------


    Copy of Action 1:
    ----------------------------------------------------------------
    parameter("c") = parameter("a") + parameter("b")
    ----------------------------------------------------------------']]>
    I'm currently going through a Udemy Course on UFT, and am learning quite a bit, but sometimes even though I've copied the code verbatim from the course instructor, I am getting errors.


    Here is one such issue I'm having today with Action Parameterization.

    Looks pretty basic, but I'm getting this error:

    You specified more parameters in your RunAction statement than the number of parameters defined for the action.
    Line (8): "RunAction "Copy of Action1", oneIteration, a, b, c".

    a and b have been set up in properties as input parameters (number, default 0)
    c has been set up in properties as an output parameter (number)

    I'm running UFT version 14.03 Build 3745


    Here is the exact code:

    Action:
    ------------------------------------------------------------
    a=10
    b=20

    RunAction "Copy of Action1", oneIteration, a, b, c

    msgbox c

    ---------------------------------------------------------------


    Copy of Action 1:
    ----------------------------------------------------------------
    parameter("c") = parameter("a") + parameter("b")
    ----------------------------------------------------------------']]>         <![CDATA[File Chooser on Chrome doesn't work - UFT 15.0.1]]> https://www.learnqtp.com/forums/Thread-File-Chooser-on-Chrome-doesn-t-work-UFT-15-0-1 Mon, 26 Oct 2020 11:04:19 -0500 Nenna Rosa]]> https://www.learnqtp.com/forums/Thread-File-Chooser-on-Chrome-doesn-t-work-UFT-15-0-1 When i run the recording Chrome blocks the File Chooser dialog whit this error: File chooser dialog can only be shown with a user activation.


    Code:
    Browser("something").Page("myPage").WebButton("CHOOSE FILE").Click
    Window("Google Chrome").Dialog("Open").WinEdit("Nome file:").Click 58, 6, micRightBtn
    Window("Google Chrome").Dialog("Open").WinEdit("Nome file:").WinMenu("ContextMenu").Select "Paste"
    Window("Google Chrome").Dialog("Open").WinButton("Open").Click
    Browser("something").Page("myPage").WebFile("file_2").Set "myFile.xlsx"


    How can I avoid this problem?]]>     When i run the recording Chrome blocks the File Chooser dialog whit this error: File chooser dialog can only be shown with a user activation.


    Code:
    Browser("something").Page("myPage").WebButton("CHOOSE FILE").Click
    Window("Google Chrome").Dialog("Open").WinEdit("Nome file:").Click 58, 6, micRightBtn
    Window("Google Chrome").Dialog("Open").WinEdit("Nome file:").WinMenu("ContextMenu").Select "Paste"
    Window("Google Chrome").Dialog("Open").WinButton("Open").Click
    Browser("something").Page("myPage").WebFile("file_2").Set "myFile.xlsx"


    How can I avoid this problem?]]>