Hi, We have a python app and a JS front-end which currently talk using WebSockets: - Python serves a port using flask and flask websockets. - The Browser loads some static JS from Flask, and the JS uses the same port to send & receive websockets. -- ie the connection is inbound from JS -> Python but once established the messages go both ways, mostly Python -> JS.
We would like to incorporate the JS front-end into a notebook. We can currently only do this by getting the python to listen on a separate port from the Notebook Server. This is manageable on hosts which we completely control (eg a Google Cloud compute instance), but we would like to make it available on services like - *MyBinder* (where we get reasonable control of a VM / container, but not inbound ports) - and maybe *CoLab* (where we don't control the VM). So is there a way of "bridging" our own message channel from the Browser JS Client all the way through to the Kernel? Kernel <---- ZMQ ----> Notebook Server <--- WebSockets---> Browser JavaScript App We want to keep the notebook setting, ie I don't think we want to ditch the notebook in favour of Jupyter Kernel Gateway (if I'm reading it correctly). For example is it possible to somehow set up a custom channel in the ZMQ/WebSockets bridge? We could of course replace our existing WebSockets code at the Python end with something equivalent. Should we perhaps wrap the JS into a IPyWidget? This looks more complicated than we really need. Here's a couple of related questions, but they are somewhat old: https://groups.google.com/forum/#!searchin/jupyter/websockets%7Csort:date/jupyter/JPlrh2XHxB8/oIGmkQHyBAAJ https://stackoverflow.com/questions/16817901/accessing-ipython-command-line-from-node-js-and-websockets Our project is open source - https://gitlab.aicrowd.com/flatland :) Thanks! Jeremy. -- You received this message because you are subscribed to the Google Groups "Project Jupyter" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To view this discussion on the web visit https://groups.google.com/d/msgid/jupyter/16038bf5-cdee-4f33-95d9-a62cc40b2f50%40googlegroups.com.
