npm run build (see https://github.com/jupyter-widgets/widget-cookiecutter/blob/master/%7B%7Bcookiecutter.github_project_name%7D%7D/js/package.json#L25)
setup.py (the one generated from the cookiecutter)
Thanks.
Wow, it's pretty complicated trying to get my head around all of these different technologies all used together, python, javascript, node.js, npm, css, html, traitlets, ...
What I'm still not really clear about is how the server side processes work. So, node.js is one process, this handles all the client browser / server interaction. Does this then spin up a python process for jupyter kernel, and does this spin up another python process for the user notebook code?
So, for a single running notebook, how many python processes are there? Is it like this, where (...) are processes and [...] are communication? :
(client web browser)
<-> [web sockets]
<-> (node.js javascript process)
<-> [zmq]
<-> (kernel python process)
<-> [zmq]
<-> (user python notebook code)
K + F*N where K is some constant, F is the multiplicity of the kernel (e.g does it launch a child process or run in-process) and N is the number of notebooks
ipyleaflet in a dev environment (Python 3.8.10, JupyterLab 3.0.16), with no luck. After pip install -e . (from the current master branch), jupyter labextension develop ipyleaflet fails with ValueError: /home/maxime/miniconda3/envs/jlab-ipyleaflet/share/jupyter/labextensions/jupyter-leaflet exists and is not a symlink. So I've tried to run jupyter labextension develop --overwrite . since it's recommended elsewhere (by ipympl for instance), this indicated that jupyter_packaging had to be installed, which I did, but trying again raised another error: pkg_resources.extern.packaging.requirements.InvalidRequirement: Parse error at "'entered'": Expected stringEnd. Am I doing something wrong?
pkg_resources.extern.packaging.requirements.InvalidRequirement: Parse error at "'entered'": Expected stringEnd
jupyter labextension develop --overwrite . that shows it?
jupyter labextension develop --overwrite .
setup.py:43: DeprecatedWarning: create_cmdclass is deprecated as of 0.8 and will be removed in 1.0. "
Use `wrap_installers` to handle prebuild steps in cmdclass.
Use `get_data_files` to handle data files.
Use `include_package_data=True` and `MANIFEST.in` for package data.
cmdclass = create_cmdclass('jsdeps', data_files_spec=data_files_spec)
setup.py:45: DeprecatedWarning: install_npm is deprecated as of 0.8 and will be removed in 1.0. Use `npm_builder` and `wrap_installers`
install_npm(js_dir, npm=["yarn"], build_cmd='build:extensions'), ensure_targets(jstargets),
An error occured.
pkg_resources.extern.packaging.requirements.InvalidRequirement: Parse error at "'entered'": Expected stringEndjupyter labextension develop script will run setup.py and extract the name of the package from it, but because the ipyleaflet setup.py logs some stuffs (https://github.com/jupyter-widgets/ipyleaflet/blob/master/setup.py#L23), jupyter labextension develop will try to setup a dev install of the "setup.py entered" package (that's not a package ahah)
1 reply
npm run build or yarn run build. It happens that the "build" script just run webpack (not sure about the correct terminology here), which only builds the nbextension (not lab). yarn run "build:extensions" builds both extensions. I'd like to watch changes automatically, is jupyter labextension watch . the recommended way?
yarn run build would be prefered now
It happens that the "build" script just run webpack (not sure about the correct terminology here), which only builds the nbextension (not lab). yarn run "build:extensions"
Indeed. The build script should run jupyter labextension build . too IMO
I'd like to watch changes automatically, is jupyter labextension watch . the recommended way?
Yes! Same, I think we should add this command to the watch script
Hi, can you help me understanding what I am doing wronmg here:
import ipywidgets as widgets
from IPython.display import display
class print_button(object):
def __init__(self, m=None, index=None):
self.button = widgets.Button(description="Click Me!")
self.index = index
def on_button_clicked(self):
return self.index
def get_button(self):
self.button.on_click(self.on_button_clicked())
return HBox([self.button])When I call it, the print_button(index=1).get_button() the callback returns:
TypeError Traceback (most recent call last)
TypeError: 'NoneType' object is not callable