the-littlest-jupyterhub
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Published
20 hours ago •
jupyterhub
jupyterhub
Spawner not running correct python engine TLJH
Note: I have set up "the littlest jupyter hub" on Ubuntu 18.04 a few years ago. Everything went well until last week.
Bug description
Using a administrator account, I have update jupyterlab in the base conda. From what I understand, it corresponds to a conda environment under /opt/tljh/user.
Everything looked OK until monday when starting a user server would not "spawn" (time out 30 seconds). I'll copy what I get in journalctl:
Apr 12 09:35:08 jupyterhub-prod systemd[1]: Started /bin/bash -c cd /home/jupyter-hy.amanieu && exec jupyterhub-singleuser --port=58621 --SingleUserNotebookApp.default_url=/lab.
Apr 12 09:35:08 jupyterhub-prod bash[29250]: Traceback (most recent call last):
Apr 12 09:35:08 jupyterhub-prod bash[29250]: File "/opt/tljh/user/bin/jupyterhub-singleuser", line 5, in <module>
Apr 12 09:35:08 jupyterhub-prod bash[29250]: from jupyterhub.singleuser import main
Apr 12 09:35:08 jupyterhub-prod bash[29250]: File "/opt/tljh/user/lib/python3.7/site-packages/jupyterhub/singleuser/__init__.py", line 5, in <module>
Apr 12 09:35:08 jupyterhub-prod bash[29250]: from .app import main
Apr 12 09:35:08 jupyterhub-prod bash[29250]: File "/opt/tljh/user/lib/python3.7/site-packages/jupyterhub/singleuser/app.py", line 10, in <module>
Apr 12 09:35:08 jupyterhub-prod bash[29250]: from .mixins import make_singleuser_app
Apr 12 09:35:08 jupyterhub-prod bash[29250]: File "/opt/tljh/user/lib/python3.7/site-packages/jupyterhub/singleuser/mixins.py", line 45, in <module>
Apr 12 09:35:08 jupyterhub-prod bash[29250]: from ..log import log_request
Apr 12 09:35:08 jupyterhub-prod bash[29250]: File "/opt/tljh/user/lib/python3.7/site-packages/jupyterhub/log.py", line 17, in <module>
Apr 12 09:35:08 jupyterhub-prod bash[29250]: from .handlers.pages import HealthCheckHandler
Apr 12 09:35:08 jupyterhub-prod bash[29250]: File "/opt/tljh/user/lib/python3.7/site-packages/jupyterhub/handlers/__init__.py", line 1, in <module>
Apr 12 09:35:08 jupyterhub-prod bash[29250]: from . import base
Apr 12 09:35:08 jupyterhub-prod bash[29250]: File "/opt/tljh/user/lib/python3.7/site-packages/jupyterhub/handlers/base.py", line 32, in <module>
Apr 12 09:35:08 jupyterhub-prod bash[29250]: from .. import orm
Apr 12 09:35:08 jupyterhub-prod bash[29250]: File "/opt/tljh/user/lib/python3.7/site-packages/jupyterhub/orm.py", line 42, in <module>
Apr 12 09:35:08 jupyterhub-prod bash[29250]: from .utils import compare_token
Apr 12 09:35:08 jupyterhub-prod bash[29250]: File "/opt/tljh/user/lib/python3.7/site-packages/jupyterhub/utils.py", line 24, in <module>
Apr 12 09:35:08 jupyterhub-prod bash[29250]: from async_generator import aclosing
Apr 12 09:35:08 jupyterhub-prod bash[29250]: ModuleNotFoundError: No module named 'async_generator'
Apr 12 09:35:08 jupyterhub-prod systemd[1]: jupyter-hy.amanieu.service: Main process exited, code=exited, status=1/FAILURE
Apr 12 09:35:08 jupyterhub-prod systemd[1]: jupyter-hy.amanieu.service: Failed with result 'exit-code'.
As you can see, async-generator is missing. Well it is of course not missing from any of my python environment: the hub under /opt/tljh/hub or the main under /opt/tljh/user. I have directly tested the python under the ./bin/ subfolders: all is there.
Typically I would do: <path>/python3 -m pip list | grep async and it would show.
I have checked what is inside the file which starts the spawner: /opt/tljh/user/bin/jupyterhub-singleuser. I could see the following she-bang: #!/opt/tljh/user/bin/python . That engine can import async-generator.
I have no idea how to add more information in the systemd journal for the user to understand which python engine is spawning it and from which packages it's trying to load it.
Expected behaviour
The user server should spawn
Actual behaviour
it doesn't spawn
How to reproduce
I have no idea how to reproduce it. I cannot afford deleting everything to try to reproduce it, this server is important.
Your personal set up
- OS: 18.04.6 LTS (Bionic Beaver)
- Version(s):
jupyterhub --version: 1.5.0 python: 3.7.5 on the hub ; 3.7.3 on the user's main I used to have python 3.6.9 in the standard path under/usr/binbut I just removed it to try to fix the issue.
Full environment of opt/tljh/user
WARNING conda.gateways.disk.delete:unlink_or_rename_to_trash(144): Could not remove or rename /opt/tljh/user/conda-meta/widgetsnbextension-3.5.1-pyh9f0ad1d_3.json. Please remove this file manually (you may need to reboot to free file handles)
WARNING conda.gateways.disk.delete:unlink_or_rename_to_trash(144): Could not remove or rename /opt/tljh/user/conda-meta/ipywidgets-7.6.3-pyhd3deb0d_0.json. Please remove this file manually (you may need to reboot to free file handles)
# packages in environment at /opt/tljh/user:
#
# Name Version Build Channel
_libgcc_mutex 0.1 conda_forge conda-forge
_openmp_mutex 4.5 1_gnu conda-forge
aiohttp 3.8.1 py37h540881e_1 conda-forge
aiosignal 1.2.0 pyhd8ed1ab_0 conda-forge
alembic 1.4.2 pypi_0 pypi
anyio 3.5.0 py37h89c1867_0 conda-forge
argcomplete 2.0.0 pyhd8ed1ab_0 conda-forge
argon2-cffi 21.3.0 pyhd8ed1ab_0 conda-forge
argon2-cffi-bindings 21.2.0 py37h5e8e339_1 conda-forge
async-timeout 4.0.2 pyhd8ed1ab_0 conda-forge
asynctest 0.13.0 py_0 conda-forge
attrs 21.4.0 pyhd8ed1ab_0 conda-forge
babel 2.9.1 pyh44b312d_0 conda-forge
backcall 0.2.0 pyh9f0ad1d_0 conda-forge
backports 1.0 py_2 conda-forge
backports.functools_lru_cache 1.6.4 pyhd8ed1ab_0 conda-forge
beautifulsoup4 4.11.0 pyha770c72_0 conda-forge
bleach 3.1.4 pypi_0 pypi
bokeh 2.4.2 py37h89c1867_0 conda-forge
bottleneck 1.3.4 py37h6c7ee08_0 conda-forge
bqplot 0.12.33 pyhd8ed1ab_0 conda-forge
brotli 1.0.9 h166bdaf_7 conda-forge
brotli-bin 1.0.9 h166bdaf_7 conda-forge
brotli-python 1.0.9 py37hd23a5d3_7 conda-forge
brotlipy 0.7.0 py37h540881e_1004 conda-forge
bzip2 1.0.8 h7f98852_4 conda-forge
c-ares 1.18.1 h7f98852_0 conda-forge
ca-certificates 2022.3.29 h06a4308_0
certifi 2021.10.8 py37h89c1867_2 conda-forge
certipy 0.1.3 pypi_0 pypi
cffi 1.15.0 py37h7f8727e_0
charset-normalizer 2.0.12 pyhd8ed1ab_0 conda-forge
click 8.1.2 py37h89c1867_0 conda-forge
colorama 0.4.4 pyh9f0ad1d_0 conda-forge
conda 4.10.3 py37h89c1867_4 conda-forge
conda-package-handling 1.8.1 py37h540881e_1 conda-forge
cryptography 36.0.2 py37h38fbfac_1 conda-forge
cycler 0.11.0 pyhd8ed1ab_0 conda-forge
dash 2.3.1 pyhd8ed1ab_0 conda-forge
dash-bootstrap-components 1.1.0 pyhd8ed1ab_0 conda-forge
dash-daq 0.5.0 pyh9f0ad1d_1 conda-forge
dash_colorscales 0.0.4 pyh9f0ad1d_0 conda-forge
dbus 1.13.6 he372182_0 conda-forge
debugpy 1.5.1 py37hcd2ae1e_0 conda-forge
decorator 5.1.1 pyhd8ed1ab_0 conda-forge
defusedxml 0.7.1 pyhd8ed1ab_0 conda-forge
dtale 1.55.0 pyhd8ed1ab_0 conda-forge
entrypoints 0.4 pyhd8ed1ab_0 conda-forge
et_xmlfile 1.0.1 py_1001 conda-forge
expat 2.4.8 h27087fc_0 conda-forge
flask 2.1.1 pyhd8ed1ab_0 conda-forge
flask-compress 1.11 pyhd8ed1ab_0 conda-forge
flit-core 3.7.1 pyhd8ed1ab_0 conda-forge
fontconfig 2.14.0 h8e229c2_0 conda-forge
fonttools 4.31.2 py37h540881e_1 conda-forge
freetype 2.10.4 h0708190_1 conda-forge
frozenlist 1.3.0 py37h540881e_1 conda-forge
future 0.18.2 py37h89c1867_5 conda-forge
gast 0.4.0 pyh9f0ad1d_0 conda-forge
gettext 0.19.8.1 hf34092f_1004 conda-forge
giflib 5.2.1 h36c2ea0_2 conda-forge
glib 2.58.3 py37he00f558_1004 conda-forge
gst-plugins-base 1.14.5 h0935bb2_2 conda-forge
gstreamer 1.14.5 h36ae1b5_2 conda-forge
icu 58.2 hf484d3e_1000 conda-forge
idna 3.3 pyhd8ed1ab_0 conda-forge
importlib-metadata 1.6.0 pypi_0 pypi
importlib_metadata 4.11.3 hd8ed1ab_1 conda-forge
importlib_resources 5.6.0 pyhd8ed1ab_0 conda-forge
ipydatagrid 1.1.2 pyhd8ed1ab_0 conda-forge
ipykernel 5.2.1 pypi_0 pypi
ipyparallel 6.3.0 py37h06a4308_0
ipython 7.13.0 pypi_0 pypi
ipython_genutils 0.2.0 py_1 conda-forge
ipywidgets 7.5.1 pypi_0 pypi
itsdangerous 2.1.2 pyhd8ed1ab_0 conda-forge
jbig 2.1 h7f98852_2003 conda-forge
jedi 0.18.1 py37h89c1867_1 conda-forge
jinja2 3.1.1 pyhd8ed1ab_0 conda-forge
joblib 1.1.0 pyhd8ed1ab_0 conda-forge
jpeg 9e h7f98852_0 conda-forge
json5 0.9.4 pypi_0 pypi
jsonschema 4.4.0 pyhd8ed1ab_0 conda-forge
jupyter-resource-usage 0.6.1 pypi_0 pypi
jupyter-server-proxy 3.1.0 pyhd8ed1ab_0 conda-forge
jupyter_bokeh 3.0.2 pyhd8ed1ab_0 conda-forge
jupyter_client 7.2.2 pyhd8ed1ab_1 conda-forge
jupyter_core 4.9.2 py37h89c1867_0 conda-forge
jupyter_server 1.13.5 pyhd3eb1b0_0
jupyterhub 1.0.0 pypi_0 pypi
jupyterlab 1.2.11 pypi_0 pypi
jupyterlab-server 1.1.1 pypi_0 pypi
jupyterlab_pygments 0.1.2 pyh9f0ad1d_0 conda-forge
jupyterlab_server 2.12.0 pyhd8ed1ab_0 conda-forge
jupyterlab_widgets 1.1.0 pyhd8ed1ab_0 conda-forge
keyutils 1.6.1 h166bdaf_0 conda-forge
kiwisolver 1.4.2 py37h7cecad7_1 conda-forge
krb5 1.19.3 h3790be6_0 conda-forge
lcms2 2.12 hddcbb42_0 conda-forge
lerc 3.0 h9c3ff4c_0 conda-forge
libarchive 3.5.2 hccf745f_1 conda-forge
libblas 3.9.0 14_linux64_openblas conda-forge
libbrotlicommon 1.0.9 h166bdaf_7 conda-forge
libbrotlidec 1.0.9 h166bdaf_7 conda-forge
libbrotlienc 1.0.9 h166bdaf_7 conda-forge
libcblas 3.9.0 14_linux64_openblas conda-forge
libcurl 7.82.0 h7bff187_0 conda-forge
libdeflate 1.10 h7f98852_0 conda-forge
libedit 3.1.20191231 he28a2e2_2 conda-forge
libev 4.33 h516909a_1 conda-forge
libffi 3.2.1 he1b5a44_1007 conda-forge
libgcc-ng 11.2.0 h1d223b6_15 conda-forge
libgfortran-ng 11.2.0 h69a702a_15 conda-forge
libgfortran5 11.2.0 h5c6108e_15 conda-forge
libgomp 11.2.0 h1d223b6_15 conda-forge
libiconv 1.16 h516909a_0 conda-forge
liblapack 3.9.0 14_linux64_openblas conda-forge
libnghttp2 1.47.0 h727a467_0 conda-forge
libopenblas 0.3.20 pthreads_h78a6416_0 conda-forge
libpng 1.6.37 h21135ba_2 conda-forge
libsodium 1.0.18 h36c2ea0_1 conda-forge
libsolv 0.7.19 h780b84a_5 conda-forge
libssh2 1.10.0 ha56f1ee_2 conda-forge
libstdcxx-ng 11.2.0 he4da1e4_15 conda-forge
libtiff 4.3.0 h542a066_3 conda-forge
libuuid 2.32.1 h7f98852_1000 conda-forge
libwebp 1.2.2 h3452ae3_0 conda-forge
libwebp-base 1.2.2 h7f98852_1 conda-forge
libxcb 1.13 h7f98852_1004 conda-forge
libxml2 2.9.12 h03d6c58_0
libxslt 1.1.34 hc22bd24_0
libzlib 1.2.11 h166bdaf_1014 conda-forge
lxml 4.6.2 py37h9120a33_0
lz4 4.0.0 py37hbaff0ff_1 conda-forge
lz4-c 1.9.3 h9c3ff4c_1 conda-forge
lzo 2.10 h516909a_1000 conda-forge
mako 1.1.2 pypi_0 pypi
mamba 0.16.0 py37h7f483ca_0 conda-forge
markupsafe 2.1.1 py37h540881e_1 conda-forge
matplotlib 3.5.1 py37h89c1867_0 conda-forge
matplotlib-base 3.5.1 py37h1058ff1_0 conda-forge
matplotlib-inline 0.1.3 pyhd8ed1ab_0 conda-forge
missingno 0.4.2 py_1 conda-forge
mistune 0.8.4 py37h5e8e339_1005 conda-forge
multidict 6.0.2 py37h540881e_1 conda-forge
munkres 1.1.4 pyh9f0ad1d_0 conda-forge
nbclassic 0.3.7 pyhd8ed1ab_0 conda-forge
nbclient 0.5.13 pyhd8ed1ab_0 conda-forge
nbconvert 6.4.5 pyhd8ed1ab_2 conda-forge
nbconvert-core 6.4.5 pyhd8ed1ab_2 conda-forge
nbconvert-pandoc 6.4.5 pyhd8ed1ab_2 conda-forge
nbformat 5.1.3 pyhd8ed1ab_0 conda-forge
nbgitpuller 1.1.0 pypi_0 pypi
nbresuse 0.3.4 pypi_0 pypi
ncurses 6.3 h27087fc_1 conda-forge
nest-asyncio 1.5.5 pyhd8ed1ab_0 conda-forge
networkx 2.7.1 pyhd8ed1ab_0 conda-forge
nodejs 12.4.0 he1b5a44_0 conda-forge
nomkl 1.0 h5ca1d4c_0 conda-forge
notebook 6.4.3 pyha770c72_0 conda-forge
notebook-shim 0.1.0 pyhd8ed1ab_0 conda-forge
nteract-on-jupyter 2.1.3 pypi_0 pypi
numexpr 2.8.0 py37hfe5f03c_101 conda-forge
numpy 1.21.5 py37hf2998dd_0 conda-forge
oauthlib 3.1.0 pypi_0 pypi
openjpeg 2.4.0 hb52868f_1 conda-forge
openpyxl 3.0.9 pyhd8ed1ab_0 conda-forge
openssl 1.1.1n h166bdaf_0 conda-forge
packaging 21.3 pyhd8ed1ab_0 conda-forge
pamela 1.0.0 pypi_0 pypi
pandas 1.3.3 py37h8c16a72_0
pandoc 2.17.1.1 ha770c72_0 conda-forge
pandocfilters 1.4.2 pypi_0 pypi
param 1.12.1 pyh6c4a22f_0 conda-forge
parso 0.8.3 pyhd8ed1ab_0 conda-forge
patsy 0.5.2 pyhd8ed1ab_0 conda-forge
pcre 8.45 h9c3ff4c_0 conda-forge
pexpect 4.8.0 pyh9f0ad1d_2 conda-forge
pickleshare 0.7.5 py_1003 conda-forge
pillow 9.1.0 py37h44f0d7a_0 conda-forge
pip 21.2.2 py37h06a4308_0
plotly 5.7.0 pyhd8ed1ab_0 conda-forge
ppscore 1.2.0 pyhd3deb0d_0 conda-forge
prometheus-client 0.7.1 pypi_0 pypi
prometheus_client 0.14.0 pyhd8ed1ab_0 conda-forge
prompt-toolkit 3.0.29 pyha770c72_0 conda-forge
pthread-stubs 0.4 h36c2ea0_1001 conda-forge
ptyprocess 0.7.0 pyhd3deb0d_0 conda-forge
py2vega 0.6.1 pyhd8ed1ab_0 conda-forge
pycosat 0.6.3 py37h540881e_1010 conda-forge
pycparser 2.21 pyhd8ed1ab_0 conda-forge
pygments 2.11.2 pyhd8ed1ab_0 conda-forge
pyopenssl 22.0.0 pyhd8ed1ab_0 conda-forge
pyparsing 3.0.7 pyhd8ed1ab_0 conda-forge
pyqt 5.9.2 py37hcca6a23_4 conda-forge
pyrsistent 0.18.1 py37h540881e_1 conda-forge
pysocks 1.7.1 py37h89c1867_5 conda-forge
python 3.7.3 h0371630_0
python-dateutil 2.8.2 pyhd8ed1ab_0 conda-forge
python-editor 1.0.4 pypi_0 pypi
python_abi 3.7 2_cp37m conda-forge
pytz 2022.1 pyhd8ed1ab_0 conda-forge
pyviz_comms 2.1.0 py_0 pyviz
pyyaml 6.0 py37h540881e_4 conda-forge
pyzmq 19.0.0 pypi_0 pypi
qgrid 1.3.1 pyhd8ed1ab_3 conda-forge
qt 5.9.7 h52cfd70_2 conda-forge
readline 7.0 hf8c457e_1001 conda-forge
reproc 14.2.3 h7f98852_0 conda-forge
reproc-cpp 14.2.3 h9c3ff4c_0 conda-forge
requests 2.27.1 pyhd8ed1ab_0 conda-forge
rise 5.7.1 py37h89c1867_0 conda-forge
ruamel_yaml 0.15.80 py37h5e8e339_1006 conda-forge
scikit-learn 1.0.2 py37hf9e9bfc_0 conda-forge
scipy 1.7.3 py37hf2a6cf1_0 conda-forge
seaborn 0.11.1 pyhd3eb1b0_0
send2trash 1.8.0 pyhd8ed1ab_0 conda-forge
setuptools 62.0.0 py37h89c1867_0 conda-forge
sharepoint 0.4.2 pypi_0 pypi
simpervisor 0.4 pyhd8ed1ab_0 conda-forge
sip 4.19.8 py37hf484d3e_0
six 1.16.0 pyh6c4a22f_0 conda-forge
sniffio 1.2.0 py37h89c1867_3 conda-forge
soupsieve 2.3.1 pyhd8ed1ab_0 conda-forge
sqlalchemy 1.3.16 pypi_0 pypi
sqlite 3.33.0 h62c20be_0
squarify 0.4.3 py_0 conda-forge
statsmodels 0.13.2 py37hb1e94ed_0 conda-forge
strsimpy 0.1.9 pyh9f0ad1d_0 conda-forge
tenacity 8.0.1 pyhd8ed1ab_0 conda-forge
terminado 0.8.3 pypi_0 pypi
testpath 0.6.0 pyhd8ed1ab_0 conda-forge
threadpoolctl 3.1.0 pyh8a188c0_0 conda-forge
tk 8.6.12 h27826a3_0 conda-forge
tornado 5.1.1 pypi_0 pypi
tqdm 4.64.0 pyhd8ed1ab_0 conda-forge
traitlets 5.1.1 pyhd8ed1ab_0 conda-forge
traittypes 0.2.1 pyh9f0ad1d_2 conda-forge
typing-extensions 4.1.1 hd8ed1ab_0 conda-forge
typing_extensions 4.1.1 pyha770c72_0 conda-forge
unicodedata2 14.0.0 py37h540881e_1 conda-forge
urllib3 1.26.9 pyhd8ed1ab_0 conda-forge
wcwidth 0.1.9 pypi_0 pypi
webencodings 0.5.1 pypi_0 pypi
websocket-client 1.3.2 pyhd8ed1ab_0 conda-forge
werkzeug 2.1.1 pyhd8ed1ab_0 conda-forge
wheel 0.37.1 pyhd3eb1b0_0
widgetsnbextension 3.6.0 pypi_0 pypi
xarray 0.20.2 pyhd8ed1ab_0 conda-forge
xlrd 2.0.1 pyhd8ed1ab_3 conda-forge
xorg-libxau 1.0.9 h7f98852_0 conda-forge
xorg-libxdmcp 1.1.3 h7f98852_0 conda-forge
xz 5.2.5 h516909a_1 conda-forge
yaml 0.2.5 h7f98852_2 conda-forge
yarl 1.7.2 py37h540881e_2 conda-forge
zeromq 4.3.4 h9c3ff4c_1 conda-forge
zipp 3.8.0 pyhd8ed1ab_0 conda-forge
zlib 1.2.11 h166bdaf_1014 conda-forge
zstd 1.5.2 ha95c52a_0 conda-forge
/opt/tljh/hub/bin/pip freeze
aiohttp==3.8.1
aiosignal==1.2.0
alembic==1.7.7
anyio==3.5.0
argon2-cffi==21.3.0
argon2-cffi-bindings==21.2.0
async-generator==1.10
async-timeout==4.0.2
asynctest==0.13.0
attrs==21.4.0
Babel==2.9.1
backcall==0.2.0
backoff==1.11.1
bcrypt==3.2.0
beautifulsoup4==4.11.1
bleach==5.0.0
certifi==2021.10.8
certipy==0.1.3
cffi==1.15.0
charset-normalizer==2.0.12
cryptography==36.0.2
debugpy==1.6.0
decorator==5.1.1
deepmerge==1.0.1
defusedxml==0.7.1
entrypoints==0.4
escapism==1.0.1
fastjsonschema==2.15.3
frozenlist==1.3.0
greenlet==1.1.2
idna==3.3
importlib-metadata==4.11.3
importlib-resources==5.6.0
ipykernel==6.13.0
ipython==7.32.0
ipython-genutils==0.2.0
jedi==0.18.1
Jinja2==3.1.1
json5==0.9.6
jsonschema==4.4.0
jupyter-client==7.2.2
jupyter-core==4.9.2
jupyter-server==1.16.0
jupyter-telemetry==0.1.0
jupyterhub==1.5.0
jupyterhub-configurator @ git+https://github.com/yuvipanda/jupyterhub-configurator@317759e17c8e48de1b1352b836dac2a230536dba
jupyterhub-firstuseauthenticator==1.0.0
jupyterhub-idle-culler==1.2.1
jupyterhub-ldapauthenticator==1.3.2
jupyterhub-nativeauthenticator==1.0.5
jupyterhub-systemdspawner==0.15.0
jupyterhub-tmpauthenticator==0.6
jupyterhub-traefik-proxy==0.3.0
jupyterlab==3.3.3
jupyterlab-pygments==0.2.0
jupyterlab-server==2.12.0
ldap3==2.9.1
Mako==1.2.0
MarkupSafe==2.1.1
matplotlib-inline==0.1.3
mistune==0.8.4
multidict==6.0.2
nbclassic==0.3.7
nbclient==0.5.13
nbconvert==6.5.0
nbformat==5.3.0
nest-asyncio==1.5.5
notebook==6.4.10
notebook-shim==0.1.0
oauthenticator==14.2.0
oauthlib==3.2.0
onetimepass==1.0.1
packaging==21.3
pamela==1.0.0
pandocfilters==1.5.0
parso==0.8.3
passlib==1.7.4
pexpect==4.8.0
pickleshare==0.7.5
pluggy==1.0.0
prometheus-client==0.14.1
prompt-toolkit==3.0.29
psutil==5.9.0
ptyprocess==0.7.0
pyasn1==0.4.8
pycparser==2.21
pycurl==7.45.1
Pygments==2.11.2
pyOpenSSL==22.0.0
pyparsing==3.0.8
pyrsistent==0.18.1
python-dateutil==2.8.2
python-json-logger==2.0.2
pytz==2022.1
pyzmq==22.3.0
requests==2.27.1
ruamel.yaml==0.17.21
ruamel.yaml.clib==0.2.6
Send2Trash==1.8.0
six==1.16.0
sniffio==1.2.0
soupsieve==2.3.2
SQLAlchemy==1.4.35
terminado==0.13.3
the-littlest-jupyterhub @ git+https://github.com/jupyterhub/the-littlest-jupyterhub.git@0572976d25c18bc88d936f8bd8627bbfed069b53
tinycss2==1.1.1
toml==0.10.2
tornado==6.1
traitlets==5.1.1
typing_extensions==4.1.1
urllib3==1.26.9
wcwidth==0.2.5
webencodings==0.5.1
websocket-client==1.3.2
yarl==1.7.2
zipp==3.8.0
As this is an Issue which normally would require a PR to correct, I'll refine my needs:
- Would it be possible to add documentation about adding the python engine path or cwd in the user service journal?
- Would it be possible to add documentation on how this engine is selected by the user service spawner?
Thank you
I think I am seeing a similar issue. I'll admit upfront that I am new to JuptyerHub, and by extension TLJH.
I was trying to add the bits for AzureAD authentication to the config. I kept getting exceptions on startup about not being able to import jwt. But when I was in the venv, pip freeze | grep -i jwt revealed that both jwt and PyJWT were installed. Running the same pip from outside of the venv only showed PyJWT installed.
This lead me to suspect that oauthenticator, or at least the AzureADAuthenticator class is using the system python rather than the python from within the virtual env.
When did pip3 install jwt as root from outside of the venv, I stopped getting the exception.
But JH still doesn't start and the logging isn't providing anything helpful. I assume that it is more failures from packages due to it using the system python.
I am toying with the idea of snapshotting the VM, and then linking the system python binaries directly into the venv to see if anything changes.
I'm unsure how to proceed, aside from scraping the SSO component.
