v1.4.1 not working with Jupyterlab 2
See original GitHub issueWhen I install v1.4.1 of jupyterlab_code_formatter with v2.2.9 of Jupyterlab, then I am unable to enable the server extension.
conda create --name jl-jcf --channel conda-forge --yes jupyterlab=2 python=3.8 nodejs jupyterlab_code_formatter isort black
conda activate jl-jcf
jupyter serverextension enable --py jupyterlab_code_formatter
Traceback (most recent call last):
File "C:\tools\miniconda3\envs\jl-jcf\Scripts\jupyter-serverextension-script.py", line 10, in <module>
sys.exit(main())
File "C:\tools\miniconda3\envs\jl-jcf\lib\site-packages\jupyter_core\application.py", line 254, in launch_instance
return super(JupyterApp, cls).launch_instance(argv=argv, **kwargs)
File "C:\tools\miniconda3\envs\jl-jcf\lib\site-packages\traitlets\config\application.py", line 845, in launch_instance
app.start()
File "C:\tools\miniconda3\envs\jl-jcf\lib\site-packages\notebook\serverextensions.py", line 291, in start
super().start()
File "C:\tools\miniconda3\envs\jl-jcf\lib\site-packages\jupyter_core\application.py", line 243, in start
self.subapp.start()
File "C:\tools\miniconda3\envs\jl-jcf\lib\site-packages\notebook\serverextensions.py", line 208, in start
self.toggle_server_extension_python(arg)
File "C:\tools\miniconda3\envs\jl-jcf\lib\site-packages\notebook\serverextensions.py", line 197, in toggle_server_extension_python
m, server_exts = _get_server_extension_metadata(package)
File "C:\tools\miniconda3\envs\jl-jcf\lib\site-packages\notebook\serverextensions.py", line 325, in _get_server_extension_metadata
m = import_item(module)
File "C:\tools\miniconda3\envs\jl-jcf\lib\site-packages\traitlets\utils\importstring.py", line 38, in import_item
return __import__(parts[0])
File "C:\tools\miniconda3\envs\jl-jcf\lib\site-packages\jupyterlab_code_formatter\__init__.py", line 4, in <module>
from .handlers import setup_handlers
File "C:\tools\miniconda3\envs\jl-jcf\lib\site-packages\jupyterlab_code_formatter\handlers.py", line 3, in <module>
from jupyter_server.base.handlers import APIHandler
ModuleNotFoundError: No module named 'jupyter_server'
Obviously, Jupyterlab 2 does not install jupyter_server.
Using jupyterlab=2
and jupyterlab_code_formatter<1.4
seems to work fine.
conda list
# packages in environment at C:\tools\miniconda3\envs\jl-jcf:
#
# Name Version Build Channel
argon2-cffi 20.1.0 py38h294d835_2 conda-forge
async_generator 1.10 py_0 conda-forge
attrs 20.3.0 pyhd3deb0d_0 conda-forge
backcall 0.2.0 pyh9f0ad1d_0 conda-forge
backports 1.0 py_2 conda-forge
backports.functools_lru_cache 1.6.1 py_0 conda-forge
bleach 3.2.1 pyh9f0ad1d_0 conda-forge
brotlipy 0.7.0 py38hab1e662_1001 conda-forge
ca-certificates 2020.12.5 h5b45459_0 conda-forge
certifi 2020.12.5 py38haa244fe_1 conda-forge
cffi 1.14.4 py38hd8c33c5_1 conda-forge
chardet 4.0.0 py38haa244fe_0 conda-forge
colorama 0.4.4 pyh9f0ad1d_0 conda-forge
cryptography 3.3.1 py38hd8c33c5_0 conda-forge
decorator 4.4.2 py_0 conda-forge
defusedxml 0.6.0 py_0 conda-forge
entrypoints 0.3 pyhd8ed1ab_1003 conda-forge
idna 2.10 pyh9f0ad1d_0 conda-forge
importlib-metadata 3.3.0 py38haa244fe_2 conda-forge
importlib_metadata 3.3.0 hd8ed1ab_2 conda-forge
ipykernel 5.4.2 py38h7b7c402_0 conda-forge
ipython 7.19.0 py38hc5df569_0 conda-forge
ipython_genutils 0.2.0 py_1 conda-forge
jedi 0.18.0 py38haa244fe_1 conda-forge
jinja2 2.11.2 pyh9f0ad1d_0 conda-forge
json5 0.9.5 pyh9f0ad1d_0 conda-forge
jsonschema 3.2.0 py_2 conda-forge
jupyter_client 6.1.7 py_0 conda-forge
jupyter_core 4.7.0 py38haa244fe_0 conda-forge
jupyterlab 2.2.9 py_0 conda-forge
jupyterlab_code_formatter 1.4.1 pyhd8ed1ab_0 conda-forge
jupyterlab_pygments 0.1.2 pyh9f0ad1d_0 conda-forge
jupyterlab_server 1.2.0 py_0
libsodium 1.0.18 h8d14728_1 conda-forge
m2w64-gcc-libgfortran 5.3.0 6 conda-forge
m2w64-gcc-libs 5.3.0 7 conda-forge
m2w64-gcc-libs-core 5.3.0 7 conda-forge
m2w64-gmp 6.1.0 2 conda-forge
m2w64-libwinpthread-git 5.0.0.4634.697f757 2 conda-forge
markupsafe 1.1.1 py38hab1e662_2 conda-forge
mistune 0.8.4 py38h294d835_1002 conda-forge
msys2-conda-epoch 20160418 1 conda-forge
nbclient 0.5.1 py_0 conda-forge
nbconvert 6.0.7 py38haa244fe_3 conda-forge
nbformat 5.0.8 py_0 conda-forge
nest-asyncio 1.4.3 pyhd8ed1ab_0 conda-forge
nodejs 15.3.0 h57928b3_0 conda-forge
notebook 6.1.6 py38haa244fe_0 conda-forge
openssl 1.1.1i h8ffe710_0 conda-forge
packaging 20.8 pyhd3deb0d_0 conda-forge
pandoc 2.11.3.2 h8ffe710_0 conda-forge
pandocfilters 1.4.2 py_1 conda-forge
parso 0.8.1 pyhd8ed1ab_0 conda-forge
pickleshare 0.7.5 py_1003 conda-forge
pip 20.3.3 pyhd8ed1ab_0 conda-forge
prometheus_client 0.9.0 pyhd3deb0d_0 conda-forge
prompt-toolkit 3.0.9 pyha770c72_0 conda-forge
pycparser 2.20 pyh9f0ad1d_2 conda-forge
pygments 2.7.3 pyhd8ed1ab_0 conda-forge
pyopenssl 20.0.1 pyhd8ed1ab_0 conda-forge
pyparsing 2.4.7 pyh9f0ad1d_0 conda-forge
pyrsistent 0.17.3 py38h294d835_1 conda-forge
pysocks 1.7.1 py38h9bdc248_2 conda-forge
python 3.8.6 h7840368_4_cpython conda-forge
python-dateutil 2.8.1 py_0 conda-forge
python_abi 3.8 1_cp38 conda-forge
pywin32 228 py38h1e8a9f7_0 conda-forge
pywinpty 0.5.7 py38h32f6830_1 conda-forge
pyzmq 20.0.0 py38h7a0e47e_1 conda-forge
requests 2.25.1 pyhd3deb0d_0 conda-forge
send2trash 1.5.0 py_0 conda-forge
setuptools 49.6.0 py38h9bdc248_2 conda-forge
six 1.15.0 pyh9f0ad1d_0 conda-forge
sqlite 3.34.0 h8ffe710_0 conda-forge
terminado 0.9.2 py38haa244fe_0 conda-forge
testpath 0.4.4 py_0 conda-forge
tornado 6.1 py38h294d835_0 conda-forge
traitlets 5.0.5 py_0 conda-forge
urllib3 1.26.2 pyhd8ed1ab_0 conda-forge
vc 14.2 hb210afc_2 conda-forge
vs2015_runtime 14.28.29325 h5e1d092_0 conda-forge
wcwidth 0.2.5 pyh9f0ad1d_2 conda-forge
webencodings 0.5.1 py_1 conda-forge
wheel 0.36.2 pyhd3deb0d_0 conda-forge
win_inet_pton 1.1.0 py38h32f6830_1 conda-forge
wincertstore 0.2 py38haa244fe_1006 conda-forge
winpty 0.4.3 4 conda-forge
zeromq 4.3.3 h0e60522_3 conda-forge
zipp 3.4.0 py_0 conda-forge
Issue Analytics
- State:
- Created 3 years ago
- Reactions:1
- Comments:7 (1 by maintainers)
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In general, conda-forge feedstocks aren’t necessarily maintained by the same people as the package itself. If there’s a problem with the conda-forge metadata, you’ll want to open an issue on the feedstock repo.
Was just skimming this repo and saw this issue, so in case it’s still a problem, I hope the above helps. @jamesmyatt
Actually, looking at
setup.py
, I think this is a conda package problem.edit, i.e. setup.py says 1.4.1 requires
jupyterlab~=3.0
, but the conda-forge package must say any version ofjupyterlab
.