[x3d-public] A few suggestions from the Python API (x3d.py)

[John Carlson]

Indeed,  I forgot to mention my STL to X3D JSON which converts STL to X3D
JSON (actually JavaScript) as an IndexedFaceSet.

https://github.com/coderextreme/X3DJSONLD/blob/master/src/main/node/convertStlToJson.js

Once the STL is in X3D JSON, there are many resources in X3DJSONLD to load
JSON and export other formats, see:

https://github.com/coderextreme/X3DJSONLD/blob/master/src/main/node/json2all.js

These pretty much all leverage X3DJSONLD.js

I am presently working on an X3D JSON to python load and export for
instance:

https://github.com/coderextreme/X3DJSONLD/blob/master/src/main/python/x3djsonld.py
(WIP)

Note that stylesheets and tools in the browser converting  from XML to JSON
are not a sure thing.   It’s probably best to use serverside tools for this
conversion.

X3DJSONLD.js is a part of both X3DOM and X_ITE.  See the JSONParser.js

John
On Wed, Feb 9, 2022 at 6:34 PM vmarchetti at kshell.com <vmarchetti at kshell.com>
wrote:

> Moritz
>
> Thank you for posting this example of your work with X3D in Python, by
> means of X3DOM. I admit I was completely mystified by how it worked, until
> I checked and discovered that the instance method _repr_html_ is in fact a
> 'magic method name' in IPython and Jupyter, when that method is implemented
> by the return value of  Python expression then Jupyter treats the string
> value as returned by this method call as HTML markup to be inserted into
> the web page; it's a shortcut for the IPython.core.display.HTML function
> that at least I am used to seeing.
>
> The x3d.py developers can judge whether it's useful to include this in
> that package, I just want to point out that using the _repr_html_ method
> could be extended, John Carlson has mentioned elsewhere STL files and
> object; and I can imagine a utility class that wrapped the data defining an
> STL file or other mesh, and the _repr_html_ method took care of converting
> that mesh into X3D code, with standard viewpoints and lighting, and
> presented as a 3D rendering.
>
> You mentioned that part of your work involvea x-ray optics and
> instrumentation, you may be interested in the work Andreas Plesch has done
> with rendering CAD files, particularly in STEP format, in Jupyter;
> utilizing work in STEP to X3D conversion done by a whole bunch of people.
> An example nbviewer static view of such a conversion can be seen at
> https://nbviewer.org/github/vincentmarchetti/step_jupyter/blob/nist_example/notebooks/step_to_x3dom.ipynb .(you
> will have to scroll all the way down to see the CAD rendering) This
> notebook uses the HTML() function to inject the HTML markup into the
> webpage, not as slick as the _repr_html_ but the use of the X3DOM library
> and rendering an inline scene is essentially the same
>
> Similarly, we've demonstrated putting an animated X3D scene into a Jupyter
> notebook at
> http://nbviewer.org/github/vincentmarchetti/web3d2021_jupyter_tutorial/blob/main/conic_figure.ipynb
>  .
>
> I'm looking forward to continue sharing this work and ideas for further
> progress.
>
> Vince Marchetti
>
>
> On Feb 9, 2022, at 11:23 AM, Hans Moritz Guenther <hgunther at mit.edu>
> wrote:
>
> Hi,
>
> I'm starting to use the x3d.py library to generate x3d output. I'm very
> much a Python programmer using what people call the "scientific stack" in
> Python (the libraries numpy, scipy, pandas, etc.) with very little
> experience in 3D visualization or web-programming.
>
> ...
>
> - Jupyter notebook: The Jupyter notebook seems like an ideal tool for work
> with X3D in Python, since it is rendered on the web and can display any web
> output. Here is a simple addition of a `_repr_html_`method to the Scene
> class in the x3d.py that will render any valid scene with no additional
> effort to the screen. Sure, the header is a little simplistic, but it's
> just a quick way to look at what your are specifying. Since I did not want
> to edit x3d.py itself, I simply made a new class that inherits from the
> x3d.Scene, but it would obviously be even easier if this was part of x3d
> itself. See
> http://nbviewer.org/github/hamogu/x3d-experiements/blob/main/Scence_for_notebook.ipynb
> for an example and note how the X3D output at the bottom is not just a
> screenshot, but a live output that your can zoom and rotate with your
> mouse, even though the notebook is not running live, but instead you just
> see the rendered output of what I run some time in the past on my laptop.
> (I admit that this is a naive implementation and it might be useful to add
> a few <meta> or <WorldInfo> nodes. Also, maybe Scene is not the best node,
> or not the only node, where to define this functionality, but it seems to
> work well.)
> class Scene(x3d.Scene):
> js_source = 'https://www.x3dom.org/download/x3dom.js'
> css_source = 'https://www.x3dom.org/download/x3dom.css'
> dimension_px = (600, 400)
> def _repr_html_(self):
> return(f"""
> <html>
> <head>
> <meta http-equiv="X-UA-Compatible" content="IE=edge"/>
> <script type='text/javascript' src='{self.js_source}'> </script>
> <link rel='stylesheet' type='text/css' href='{self.css_source}'></link>
> </head>
> <body>
> <x3d width='{self.dimension_px[0]}px' height='{self.dimension_px[1]}px'>
> {self.XML()}
> </x3d>
> </body>
> </html>
> """)
>
>
> Please let me know if there is anything I can do to help with this awesome
> package, that really makes generating X3D from Python so much simpler
> already.
>
> Yours,
> Moritz
>
> --
> Hans Moritz Günther
> Massachusetts Institute of Technology
> Kavli Institute for Astrophysics and Space Research77 Massachusetts Avenue <https://www.google.com/maps/search/77+Massachusetts+Avenue?entry=gmail&source=g>
> NE83-569
> Cambridge, MA 02139hgunther at mit.eduhttps://space.mit.edu/home/guenther/
>
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