<div dir="ltr"><div><div><div>Hi Praveen,<br><br></div>You need to check the Live Visualization box when exporting the script (the first option in the image below). There is an overhead to checking for the live connection (it's fairly small but possibly not negligible for explicit simulations with a small enough amount of cells per process) so that's part of the thinking behind having the user explicitly specify that.<br>
<br></div>If you haven't done this, instead of just recreating the script you can just change "coprocessor.EnableLiveVisualization(False)" to pass in True instead. I'll update gridwriter.py in the repo to have that change as well.<br>
<br></div>Also, the way things are set up with miniFE, I wouldn't call it a connection to Catalyst since Catalyst is used as a library instead of an external process. I just wanted to make it clear that it's not the typical client-server connection that's used here.<br>
<div><br>Regards,<br>Andy<br><div><div><br><br><img src="data:image/png;base64,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" alt=""><br>
</div></div></div></div><div class="gmail_extra"><br><br><div class="gmail_quote">On Thu, Jun 12, 2014 at 2:30 PM, Praveen Narayanan <span dir="ltr"><<a href="mailto:praveenn@nvidia.com" target="_blank">praveenn@nvidia.com</a>></span> wrote:<br>
<blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">Not sure if this is the right thread to ask since my original installation difficulties have now resolved themselves.<br>

<br>
A few days ago, miniFE instrumented with catalyst was put up at Andy Bauer's git repo (<a href="https://github.com/acbauer/miniFE-2.0_ref_Catalyst" target="_blank">https://github.com/acbauer/miniFE-2.0_ref_Catalyst</a>), which I built (successful- first make the adaptor and then make the main code) and tried running (unsuccessful).<br>

<br>
>From what I see, we should call the python pipeline creator by appending the name of the file gridwriter.py. However, I cannot get it to show any of the data rendered on screen when it does the coprocessing although Catalyst::coprocessor creates vtk data structures both for the grid and the data associated with the grid, and the python script creates the pipeline in the method doCoprocessing (is that the correct interpretation?)<br>

<br>
Currently, it connects to catalyst and executes the pipeline since it dumps data files to the disc and generally responds to the simulation. {\bf But I cannot get it to render anything live}.<br>
<br>
Thanks<br>
<span class="HOEnZb"><font color="#888888">Praveen.<br>
</font></span><div class=""><br>
<br>
<br>
<br>
-----Original Message-----<br>
From: Ben Boeckel [mailto:<a href="mailto:ben.boeckel@kitware.com">ben.boeckel@kitware.com</a>]<br>
Sent: Friday, June 06, 2014 7:16 AM<br>
To: Praveen Narayanan<br>
Cc: <a href="mailto:paraview@paraview.org">paraview@paraview.org</a><br>
Subject: Re: [Paraview] Linking Catalyst example samples with Catalyst<br>
<br>
</div><div><div class="h5">On Fri, Jun 06, 2014 at 02:18:42 -0700, Praveen Narayanan wrote:<br>
> I am examining the example code for catalyst from Andy Bauer’s git<br>
> repository (<a href="https://github.com/acbauer/CatalystExampleCode" target="_blank">https://github.com/acbauer/CatalystExampleCode</a>).<br>
><br>
> I am trying to learn about the catalyst workflow before using it in my<br>
> own in situ examples.<br>
<br>
So, first, there is no requirement to use a Catalyst-the-build to use Catalyst-the-coprocessing-API. Catalyst builds are meant for use where a smaller ParaView is a better fit (super computing, lower memory constraints, etc.). The naming is indeed confusing :( .<br>

<br>
> python catalyze.py -i Editions/Base -o ../catalyst_src<br>
><br>
> fatal: Not a git repository (or any of the parent directories): .git<br>
><br>
> Error: Command '['git', 'rev-parse', '--show-toplevel']' returned<br>
> non-zero exit status 128<br>
<br>
You can give `-r <dir>` to tell it the top-level of the source tree.<br>
Without it, it will try and find the top-level using git, which won't work for tarballs. I'll improve the error message.<br>
<br>
> 2) Â I tried two of the catalyst sources<br>
><br>
> a. Â Base+python: This builds properly and links with the example code<br>
> (CxxFullExample)<br>
><br>
> b. Â Base+essentials+extras+python: This also builds and links with the<br>
> example code, but I get the following runtime error:<br>
<br>
When do these errors pop up? The Catalyst build trees are slimmed down ParaView builds and don't have everything under the sun included (e.g., animation classes are missing). If you need other classes, another edition should be made to include the required classes and proxies.<br>

<br>
> 3) Â The build base+python runs the example code, but does not connect<br>
> with catalyst. Furthermore, upon running make test to test with the<br>
> sample python script in â€˜SampleScripts’ (which basically invokes<br>
> CxxFullExample with the python script as an input argument, I get<br>
> errors stating that it cannot load some vtk modules, which upon<br>
> looking turn out not to be built at all<br>
<br>
<snip><br>
<br>
> I would like to know what I am missing in these builds. It appears<br>
> that some of the vtk modules are not being built:<br>
><br>
> Error: Could not import vtkCommonComputationalGeometryPython<br>
><br>
> Error: Could not import vtkRenderingCorePython<br>
><br>
> Error: Cannot import vtkPVServerManagerDefaultPython<br>
><br>
> Error: Cannot import vtkPVServerManagerRenderingPython<br>
><br>
> Error: Cannot import vtkPVAnimationPython<br>
<br>
Catalyst builds do not build all ParaView modules, so some missing is expected.<br>
<br>
> What is the correct way to get a working run for the examples<br>
> supplied. Also, how do we connect to catalyst after this? Â My<br>
> understanding is that we just load up paraview (4.1) and then the<br>
> simulation would connect to catalyst after we hit â€˜Connect to<br>
> Catalyst’ and load up the â€˜Coprocessing’ plugin. Does paraview have to be built from source?<br>
<br>
The way I've done it is that the simulation loads up Catalyst (using the vtkCPProcessor class). ParaView can create Python scripts for use with vtkCPPythonScriptPipeline, but if there is a way to use ParaView-the-application with in-situ runs, I don't know it. Andy?<br>

<br>
> More specifically, is there a particular download version that might<br>
> work, and what flags do we turn on in CMakeLists.txt? Is there any<br>
> other set of examples (although I think the git examples demonstrate<br>
> the workflow quite properly) that we could use to try catalyst?<br>
<br>
>From a full build, PARAVIEW_ENABLE_CATALYST=ON should be all that is necessary. From a Catalyst build, the same should be sufficient, but for any VTK or ParaView classes which you require, you will need to create an edition to bring them in.<br>

<br>
--Ben<br>
<br>
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