Closed hmkhatri closed 1 year ago
Thanks @hmkhatri , we will look into this for the next release.
It is available as conda package dask-labextension
. However, it will install a number of packages for dependencies which look like they might conflict with whatever the notebook service itself uses, in particular the jupyter*
and notebook*
packages below.
anyio 3.6.1 py310hff52083_0 conda-forge/linux-64 158 KB
argon2-cffi 21.3.0 pyhd8ed1ab_0 conda-forge/noarch Cached
argon2-cffi-bindings 21.2.0 py310h5764c6d_2 conda-forge/linux-64 34 KB
dask-labextension 5.3.0 pyhd8ed1ab_1 conda-forge/noarch 40 KB
debugpy 1.6.0 py310hd8f1fbe_0 conda-forge/linux-64 2 MB
flit-core 3.7.1 pyhd8ed1ab_0 conda-forge/noarch Cached
ipykernel 6.14.0 py310hfdc917e_0 conda-forge/linux-64 188 KB
ipython_genutils 0.2.0 py_1 conda-forge/noarch Cached
json5 0.9.6 pyhd3eb1b0_0 pkgs/main/noarch 21 KB
jupyter-server-proxy 3.2.1 pyhd8ed1ab_0 conda-forge/noarch 29 KB
jupyter_server 1.18.0 pyhd8ed1ab_0 conda-forge/noarch 233 KB
jupyterlab 3.4.3 pyhd8ed1ab_0 conda-forge/noarch 6 MB
jupyterlab_server 2.14.0 pyhd8ed1ab_1 conda-forge/noarch 49 KB
nbclassic 0.3.7 pyhd8ed1ab_0 conda-forge/noarch 14 KB
notebook 6.4.12 pyha770c72_0 conda-forge/noarch 6 MB
notebook-shim 0.1.0 pyhd8ed1ab_0 conda-forge/noarch 15 KB
prometheus_client 0.14.1 pyhd8ed1ab_0 conda-forge/noarch Cached
send2trash 1.8.0 pyhd8ed1ab_0 conda-forge/noarch Cached
simpervisor 0.4 pyhd8ed1ab_0 conda-forge/noarch 9 KB
sniffio 1.2.0 py310hff52083_3 conda-forge/linux-64 16 KB
terminado 0.15.0 py310hff52083_0 conda-forge/linux-64 28 KB
websocket-client 1.3.3 pyhd8ed1ab_0 conda-forge/noarch 41 KB
The dependencies that get installed with a pip install
also look similar.
We will have to investigate further as to whether this is safe for us to install. To avoid delaying the next release, postponing this for a later release.
@hmkhatri, we currently have users testing a system that employs dask-gateway
to broker tasks between the Notebook Service and the LOTUS batch compute cluster. The dask-gateway web-interface includes a dashboard for viewing and monitoring the parallel running of jobs via dask. Please contact support@ceda.ac.uk for more details.
It would be useful to have Dask lab-extension installed on Jasmin notebook service for testing parallel computations on inbuilt dask dashboard.