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Comments (15)

echarles avatar echarles commented on September 25, 2024 1

Am I interpreting this right --- that you don't see a fix for anon token-auth coming from jupyter-server? Rather you're advising us to take the issue up with VS Code?

I think your interpretation is correct, but I would like first to further discuss and get inputs from other on this. I will try to join next week jupyter server dev meeting to have more opinions on this.

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hbcarlos avatar hbcarlos commented on September 25, 2024 1

@daeh We discussed it again during the server weekly meeting. This is an issue with VSCode, not with Jupiter Server. Jupyter Server uses cookies to authenticate clients, as described in the documentation. Once you logged in with the token, the server will set a cookie, and the token is no longer necessary.

For servers with token-authentication enabled, the URL in the above listing will include the token, so you can copy and paste that URL into your browser to login. If a server has no token (e.g. it has a password or has authentication disabled), the URL will not include the token argument. Once you have visited this URL, a cookie will be set in your browser and you won’t need to use the token again, unless you switch browsers, clear your cookies, or start a Jupyter server on a new port.

I finally managed to reproduce it. In VSCode, there are two ways of connecting to a remote kernel. The first one and the one described in the VSCode documentation is by setting the URL, including the token, to a running Jupyter Server http://<ip-address>:<port>/?token=<token>. Using the method, VSCode will ignore the cookie and use the token for each request. Since the cookie is the one with the anonymous user information, the server will create a new random name on each request.

The second option consists of setting the URL without the token, then VSC will show another prompt requesting the token. In this case, VSCode will store the cookie and use it on each request.

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afshin avatar afshin commented on September 25, 2024 1

In case somebody from the VSCode looks at this, one theory about what's happening is that when the user is presented with the challenge/response for authentication, the extension holds on to the cookies generated by the server, but when the extension receives a valid response by passing in the token, the extension might not be respecting the sessions cookies set by the server.

So for end users who experience this behavior, the current workaround is to not pass the URL containing the token to VSCode and instead allow the extension to ask them for it – until this issue is resolved upstream.

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welcome avatar welcome commented on September 25, 2024

Thank you for opening your first issue in this project! Engagement like this is essential for open source projects! 🤗

If you haven't done so already, check out Jupyter's Code of Conduct. Also, please try to follow the issue template as it helps other other community members to contribute more effectively.
welcome
You can meet the other Jovyans by joining our Discourse forum. There is also an intro thread there where you can stop by and say Hi! 👋

Welcome to the Jupyter community! 🎉

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daeh avatar daeh commented on September 25, 2024

cont.

Troubleshoot Output 
❯ jupyter troubleshoot
$PATH:
	~/software/anaconda3/envs/ve_iaa_pytorch/bin
	~/software/anaconda3/condabin
	~/software/texlive/bin/x86_64-linux
	~/software/node-v12.14.0-linux-x64/bin
	/cm/shared/openmind/gcc/11.1.0/bin
	/usr/lib64/qt-3.3/bin
	~/me/zsh/bin
	~/me/vim/bin
	~/me/tmux/bin
	~/me/git/bin
	/usr/local/bin
	/usr/bin
	~/bin
	/usr/local/sbin
	/usr/sbin

sys.path:

~/software/anaconda3/envs/ve_iaa_pytorch/bin

~/software/anaconda3/envs/ve_iaa_pytorch/lib/python310.zip

~/software/anaconda3/envs/ve_iaa_pytorch/lib/python3.10

~/software/anaconda3/envs/ve_iaa_pytorch/lib/python3.10/lib-dynload

~/software/anaconda3/envs/ve_iaa_pytorch/lib/python3.10/site-packages


sys.executable:

~/software/anaconda3/envs/ve_iaa_pytorch/bin/python


sys.version:

3.10.9 | packaged by conda-forge | (main, Feb  2 2023, 20:20:04) [GCC 11.3.0]


platform.platform():

Linux-3.10.0-1062.el7.x86_64-x86_64-with-glibc2.17


which -a jupyter:

~/software/anaconda3/envs/ve_iaa_pytorch/bin/jupyter


pip list:

Package                       Version

----------------------------- -----------

aiofiles                      22.1.0

aiosqlite                     0.18.0

anyio                         3.6.2

argon2-cffi                   21.3.0

argon2-cffi-bindings          21.2.0

asttokens                     2.2.1

attrs                         22.2.0

autopep8                      2.0.2

Babel                         2.12.1

backcall                      0.2.0

backports.functools-lru-cache 1.6.4

beautifulsoup4                4.11.2

bleach                        6.0.0

brotlipy                      0.7.0

certifi                       2022.12.7

cffi                          1.15.1

charset-normalizer            2.1.1

colorama                      0.4.6

comm                          0.1.2

contourpy                     1.0.7

cryptography                  39.0.2

cycler                        0.11.0

debugpy                       1.6.6

decorator                     5.1.1

defusedxml                    0.7.1

dill                          0.3.6

entrypoints                   0.4

executing                     1.2.0

fastjsonschema                2.16.3

flit_core                     3.8.0

fonttools                     4.39.0

idna                          3.4

importlib-metadata            6.0.0

importlib-resources           5.12.0

ipykernel                     6.21.3

ipython                       8.11.0

ipython-genutils              0.2.0

jedi                          0.18.2

Jinja2                        3.1.2

joblib                        1.2.0

json5                         0.9.5

jsonschema                    4.17.3

jupyter_client                8.0.3

jupyter_core                  5.2.0

jupyter-events                0.6.3

jupyter_server                2.4.0

jupyter_server_fileid         0.8.0

jupyter_server_terminals      0.4.4

jupyter_server_ydoc           0.6.1

jupyter-ydoc                  0.2.2

jupyterlab                    3.6.1

jupyterlab-pygments           0.2.2

jupyterlab_server             2.20.0

kiwisolver                    1.4.4

libtmux                       0.21.0

MarkupSafe                    2.1.2

matplotlib                    3.7.1

matplotlib-inline             0.1.6

mistune                       2.0.5

munkres                       1.1.4

nbclassic                     0.5.3

nbclient                      0.7.2

nbconvert                     7.2.9

nbformat                      5.7.3

nest-asyncio                  1.5.6

notebook                      6.5.3

notebook_shim                 0.2.2

numpy                         1.24.2

packaging                     23.0

pandas                        1.5.3

pandocfilters                 1.5.0

parso                         0.8.3

patsy                         0.5.3

pexpect                       4.8.0

pickleshare                   0.7.5

Pillow                        9.4.0

pip                           23.0.1

pkgutil_resolve_name          1.3.10

platformdirs                  3.1.1

pooch                         1.7.0

prometheus-client             0.16.0

prompt-toolkit                3.0.38

psutil                        5.9.4

ptyprocess                    0.7.0

pure-eval                     0.2.2

pycodestyle                   2.10.0

pycparser                     2.21

Pygments                      2.14.0

pyOpenSSL                     23.0.0

pyparsing                     3.0.9

pyrsistent                    0.19.3

PySocks                       1.7.1

python-dateutil               2.8.2

python-json-logger            2.0.7

pytz                          2022.7.1

PyYAML                        6.0

pyzmq                         25.0.0

requests                      2.28.2

rfc3339-validator             0.1.4

rfc3986-validator             0.1.1

scikit-learn                  1.2.2

scipy                         1.10.1

seaborn                       0.12.2

Send2Trash                    1.8.0

setuptools                    67.6.0

six                           1.16.0

sniffio                       1.3.0

soupsieve                     2.3.2.post1

stack-data                    0.6.2

statsmodels                   0.13.5

terminado                     0.17.1

threadpoolctl                 3.1.0

tinycss2                      1.2.1

tmuxp                         1.27.0

tomli                         2.0.1

torch                         1.13.1

tornado                       6.2

traitlets                     5.9.0

typing_extensions             4.5.0

unicodedata2                  15.0.0

urllib3                       1.26.15

wcwidth                       0.2.6

webencodings                  0.5.1

websocket-client              1.5.1

wheel                         0.38.4

y-py                          0.5.9

ypy-websocket                 0.8.2

zipp                          3.15.0


conda list:

# packages in environment at ~/software/anaconda3/envs/ve_iaa_pytorch:

#

# Name                    Version                   Build  Channel

_libgcc_mutex             0.1                 conda_forge    conda-forge

_openmp_mutex             4.5                  2_kmp_llvm    conda-forge

aiofiles                  22.1.0             pyhd8ed1ab_0    conda-forge

aiosqlite                 0.18.0             pyhd8ed1ab_0    conda-forge

anyio                     3.6.2              pyhd8ed1ab_0    conda-forge

argon2-cffi               21.3.0             pyhd8ed1ab_0    conda-forge

argon2-cffi-bindings      21.2.0          py310h5764c6d_3    conda-forge

asttokens                 2.2.1              pyhd8ed1ab_0    conda-forge

attrs                     22.2.0             pyh71513ae_0    conda-forge

autopep8                  2.0.2              pyhd8ed1ab_0    conda-forge

babel                     2.12.1             pyhd8ed1ab_1    conda-forge

backcall                  0.2.0              pyh9f0ad1d_0    conda-forge

backports                 1.0                pyhd8ed1ab_3    conda-forge

backports.functools_lru_cache 1.6.4              pyhd8ed1ab_0    conda-forge

beautifulsoup4            4.11.2             pyha770c72_0    conda-forge

blas                      2.116                       mkl    conda-forge

blas-devel                3.9.0            16_linux64_mkl    conda-forge

bleach                    6.0.0              pyhd8ed1ab_0    conda-forge

brotli                    1.0.9                h166bdaf_8    conda-forge

brotli-bin                1.0.9                h166bdaf_8    conda-forge

brotlipy                  0.7.0           py310h5764c6d_1005    conda-forge

bzip2                     1.0.8                h7f98852_4    conda-forge

ca-certificates           2022.12.7            ha878542_0    conda-forge

certifi                   2022.12.7          pyhd8ed1ab_0    conda-forge

cffi                      1.15.1          py310h255011f_3    conda-forge

charset-normalizer        2.1.1              pyhd8ed1ab_0    conda-forge

colorama                  0.4.6                    pypi_0    pypi

comm                      0.1.2              pyhd8ed1ab_0    conda-forge

contourpy                 1.0.7           py310hdf3cbec_0    conda-forge

cryptography              39.0.2          py310h34c0648_0    conda-forge

cycler                    0.11.0             pyhd8ed1ab_0    conda-forge

debugpy                   1.6.6           py310heca2aa9_0    conda-forge

decorator                 5.1.1              pyhd8ed1ab_0    conda-forge

defusedxml                0.7.1              pyhd8ed1ab_0    conda-forge

dill                      0.3.6              pyhd8ed1ab_1    conda-forge

entrypoints               0.4                pyhd8ed1ab_0    conda-forge

executing                 1.2.0              pyhd8ed1ab_0    conda-forge

flit-core                 3.8.0              pyhd8ed1ab_0    conda-forge

fonttools                 4.39.0          py310h1fa729e_0    conda-forge

freetype                  2.12.1               hca18f0e_1    conda-forge

icu                       70.1                 h27087fc_0    conda-forge

idna                      3.4                pyhd8ed1ab_0    conda-forge

importlib-metadata        6.0.0              pyha770c72_0    conda-forge

importlib_metadata        6.0.0                hd8ed1ab_0    conda-forge

importlib_resources       5.12.0             pyhd8ed1ab_0    conda-forge

ipykernel                 6.21.3             pyh210e3f2_0    conda-forge

ipython                   8.11.0             pyh41d4057_0    conda-forge

ipython_genutils          0.2.0                      py_1    conda-forge

jedi                      0.18.2             pyhd8ed1ab_0    conda-forge

jinja2                    3.1.2              pyhd8ed1ab_1    conda-forge

joblib                    1.2.0              pyhd8ed1ab_0    conda-forge

json5                     0.9.5              pyh9f0ad1d_0    conda-forge

jsonschema                4.17.3             pyhd8ed1ab_0    conda-forge

jupyter_client            8.0.3              pyhd8ed1ab_0    conda-forge

jupyter_core              5.2.0           py310hff52083_0    conda-forge

jupyter_events            0.6.3              pyhd8ed1ab_0    conda-forge

jupyter_server            2.4.0              pyhd8ed1ab_0    conda-forge

jupyter_server_fileid     0.8.0              pyhd8ed1ab_0    conda-forge

jupyter_server_terminals  0.4.4              pyhd8ed1ab_1    conda-forge

jupyter_server_ydoc       0.6.1              pyhd8ed1ab_0    conda-forge

jupyter_ydoc              0.2.2              pyhd8ed1ab_0    conda-forge

jupyterlab                3.6.1              pyhd8ed1ab_0    conda-forge

jupyterlab_pygments       0.2.2              pyhd8ed1ab_0    conda-forge

jupyterlab_server         2.20.0             pyhd8ed1ab_0    conda-forge

kiwisolver                1.4.4           py310hbf28c38_1    conda-forge

lcms2                     2.15                 haa2dc70_1    conda-forge

ld_impl_linux-64          2.40                 h41732ed_0    conda-forge

lerc                      4.0.0                h27087fc_0    conda-forge

libblas                   3.9.0            16_linux64_mkl    conda-forge

libbrotlicommon           1.0.9                h166bdaf_8    conda-forge

libbrotlidec              1.0.9                h166bdaf_8    conda-forge

libbrotlienc              1.0.9                h166bdaf_8    conda-forge

libcblas                  3.9.0            16_linux64_mkl    conda-forge

libdeflate                1.17                 h0b41bf4_0    conda-forge

libffi                    3.4.2                h7f98852_5    conda-forge

libgcc-ng                 12.2.0              h65d4601_19    conda-forge

libgfortran-ng            12.2.0              h69a702a_19    conda-forge

libgfortran5              12.2.0              h337968e_19    conda-forge

libhwloc                  2.9.0                hd6dc26d_0    conda-forge

libiconv                  1.17                 h166bdaf_0    conda-forge

libjpeg-turbo             2.1.5.1              h0b41bf4_0    conda-forge

liblapack                 3.9.0            16_linux64_mkl    conda-forge

liblapacke                3.9.0            16_linux64_mkl    conda-forge

libnsl                    2.0.0                h7f98852_0    conda-forge

libpng                    1.6.39               h753d276_0    conda-forge

libsodium                 1.0.18               h36c2ea0_1    conda-forge

libsqlite                 3.40.0               h753d276_0    conda-forge

libstdcxx-ng              12.2.0              h46fd767_19    conda-forge

libtiff                   4.5.0                hddfeb54_5    conda-forge

libtmux                   0.21.0                   pypi_0    pypi

libuuid                   2.32.1            h7f98852_1000    conda-forge

libwebp-base              1.3.0                h0b41bf4_0    conda-forge

libxcb                    1.13              h7f98852_1004    conda-forge

libxml2                   2.10.3               h7463322_0    conda-forge

libzlib                   1.2.13               h166bdaf_4    conda-forge

llvm-openmp               15.0.7               h0cdce71_0    conda-forge

markupsafe                2.1.2           py310h1fa729e_0    conda-forge

matplotlib-base           3.7.1           py310he60537e_0    conda-forge

matplotlib-inline         0.1.6              pyhd8ed1ab_0    conda-forge

mistune                   2.0.5              pyhd8ed1ab_0    conda-forge

mkl                       2022.1.0           h84fe81f_915    conda-forge

mkl-devel                 2022.1.0           ha770c72_916    conda-forge

mkl-include               2022.1.0           h84fe81f_915    conda-forge

munkres                   1.1.4              pyh9f0ad1d_0    conda-forge

nbclassic                 0.5.3              pyhb4ecaf3_3    conda-forge

nbclient                  0.7.2              pyhd8ed1ab_0    conda-forge

nbconvert                 7.2.9              pyhd8ed1ab_0    conda-forge

nbconvert-core            7.2.9              pyhd8ed1ab_0    conda-forge

nbconvert-pandoc          7.2.9              pyhd8ed1ab_0    conda-forge

nbformat                  5.7.3              pyhd8ed1ab_0    conda-forge

ncurses                   6.3                  h27087fc_1    conda-forge

nest-asyncio              1.5.6              pyhd8ed1ab_0    conda-forge

notebook                  6.5.3              pyha770c72_0    conda-forge

notebook-shim             0.2.2              pyhd8ed1ab_0    conda-forge

numpy                     1.24.2          py310h8deb116_0    conda-forge

openjpeg                  2.5.0                hfec8fc6_2    conda-forge

openssl                   3.0.8                h0b41bf4_0    conda-forge

packaging                 23.0               pyhd8ed1ab_0    conda-forge

pandas                    1.5.3           py310h9b08913_0    conda-forge

pandoc                    2.19.2               h32600fe_2    conda-forge

pandocfilters             1.5.0              pyhd8ed1ab_0    conda-forge

parso                     0.8.3              pyhd8ed1ab_0    conda-forge

patsy                     0.5.3              pyhd8ed1ab_0    conda-forge

pexpect                   4.8.0              pyh1a96a4e_2    conda-forge

pickleshare               0.7.5                   py_1003    conda-forge

pillow                    9.4.0           py310h065c6d2_2    conda-forge

pip                       23.0.1             pyhd8ed1ab_0    conda-forge

pkgutil-resolve-name      1.3.10             pyhd8ed1ab_0    conda-forge

platformdirs              3.1.1              pyhd8ed1ab_0    conda-forge

pooch                     1.7.0              pyhd8ed1ab_0    conda-forge

prometheus_client         0.16.0             pyhd8ed1ab_0    conda-forge

prompt-toolkit            3.0.38             pyha770c72_0    conda-forge

prompt_toolkit            3.0.38               hd8ed1ab_0    conda-forge

psutil                    5.9.4           py310h5764c6d_0    conda-forge

pthread-stubs             0.4               h36c2ea0_1001    conda-forge

ptyprocess                0.7.0              pyhd3deb0d_0    conda-forge

pure_eval                 0.2.2              pyhd8ed1ab_0    conda-forge

pycodestyle               2.10.0             pyhd8ed1ab_0    conda-forge

pycparser                 2.21               pyhd8ed1ab_0    conda-forge

pygments                  2.14.0             pyhd8ed1ab_0    conda-forge

pyopenssl                 23.0.0             pyhd8ed1ab_0    conda-forge

pyparsing                 3.0.9              pyhd8ed1ab_0    conda-forge

pyrsistent                0.19.3          py310h1fa729e_0    conda-forge

pysocks                   1.7.1              pyha2e5f31_6    conda-forge

python                    3.10.9          he550d4f_0_cpython    conda-forge

python-dateutil           2.8.2              pyhd8ed1ab_0    conda-forge

python-fastjsonschema     2.16.3             pyhd8ed1ab_0    conda-forge

python-json-logger        2.0.7              pyhd8ed1ab_0    conda-forge

python_abi                3.10                    3_cp310    conda-forge

pytorch                   1.13.1             py3.10_cpu_0    pytorch

pytorch-mutex             1.0                         cpu    pytorch

pytz                      2022.7.1           pyhd8ed1ab_0    conda-forge

pyyaml                    6.0             py310h5764c6d_5    conda-forge

pyzmq                     25.0.0          py310h059b190_0    conda-forge

readline                  8.1.2                h0f457ee_0    conda-forge

requests                  2.28.2             pyhd8ed1ab_0    conda-forge

rfc3339-validator         0.1.4              pyhd8ed1ab_0    conda-forge

rfc3986-validator         0.1.1              pyh9f0ad1d_0    conda-forge

scikit-learn              1.2.2           py310h209a8ca_0    conda-forge

scipy                     1.10.1          py310h8deb116_0    conda-forge

seaborn                   0.12.2               hd8ed1ab_0    conda-forge

seaborn-base              0.12.2             pyhd8ed1ab_0    conda-forge

send2trash                1.8.0              pyhd8ed1ab_0    conda-forge

setuptools                67.6.0             pyhd8ed1ab_0    conda-forge

six                       1.16.0             pyh6c4a22f_0    conda-forge

sniffio                   1.3.0              pyhd8ed1ab_0    conda-forge

soupsieve                 2.3.2.post1        pyhd8ed1ab_0    conda-forge

stack_data                0.6.2              pyhd8ed1ab_0    conda-forge

statsmodels               0.13.5          py310hde88566_2    conda-forge

tbb                       2021.8.0             hf52228f_0    conda-forge

terminado                 0.17.1             pyh41d4057_0    conda-forge

threadpoolctl             3.1.0              pyh8a188c0_0    conda-forge

tinycss2                  1.2.1              pyhd8ed1ab_0    conda-forge

tk                        8.6.12               h27826a3_0    conda-forge

tmuxp                     1.27.0                   pypi_0    pypi

tomli                     2.0.1              pyhd8ed1ab_0    conda-forge

tornado                   6.2             py310h5764c6d_1    conda-forge

traitlets                 5.9.0              pyhd8ed1ab_0    conda-forge

typing-extensions         4.5.0                hd8ed1ab_0    conda-forge

typing_extensions         4.5.0              pyha770c72_0    conda-forge

tzdata                    2022g                h191b570_0    conda-forge

unicodedata2              15.0.0          py310h5764c6d_0    conda-forge

urllib3                   1.26.15            pyhd8ed1ab_0    conda-forge

wcwidth                   0.2.6              pyhd8ed1ab_0    conda-forge

webencodings              0.5.1                      py_1    conda-forge

websocket-client          1.5.1              pyhd8ed1ab_0    conda-forge

wheel                     0.38.4             pyhd8ed1ab_0    conda-forge

xorg-libxau               1.0.9                h7f98852_0    conda-forge

xorg-libxdmcp             1.1.3                h7f98852_0    conda-forge

xz                        5.2.6                h166bdaf_0    conda-forge

y-py                      0.5.9           py310h4426083_0    conda-forge

yaml                      0.2.5                h7f98852_2    conda-forge

ypy-websocket             0.8.2              pyhd8ed1ab_0    conda-forge

zeromq                    4.3.4                h9c3ff4c_1    conda-forge

zipp                      3.15.0             pyhd8ed1ab_0    conda-forge

zstd                      1.5.2                h3eb15da_6    conda-forge


conda env:

name: ve_iaa_pytorch

channels:

- pytorch

- conda-forge

- defaults

dependencies:

- _libgcc_mutex=0.1=conda_forge

- _openmp_mutex=4.5=2_kmp_llvm

- aiofiles=22.1.0=pyhd8ed1ab_0

- aiosqlite=0.18.0=pyhd8ed1ab_0

- anyio=3.6.2=pyhd8ed1ab_0

- argon2-cffi=21.3.0=pyhd8ed1ab_0

- argon2-cffi-bindings=21.2.0=py310h5764c6d_3

- asttokens=2.2.1=pyhd8ed1ab_0

- attrs=22.2.0=pyh71513ae_0

- autopep8=2.0.2=pyhd8ed1ab_0

- babel=2.12.1=pyhd8ed1ab_1

- backcall=0.2.0=pyh9f0ad1d_0

- backports=1.0=pyhd8ed1ab_3

- backports.functools_lru_cache=1.6.4=pyhd8ed1ab_0

- beautifulsoup4=4.11.2=pyha770c72_0

- blas=2.116=mkl

- blas-devel=3.9.0=16_linux64_mkl

- bleach=6.0.0=pyhd8ed1ab_0

- brotli=1.0.9=h166bdaf_8

- brotli-bin=1.0.9=h166bdaf_8

- brotlipy=0.7.0=py310h5764c6d_1005

- bzip2=1.0.8=h7f98852_4

- ca-certificates=2022.12.7=ha878542_0

- certifi=2022.12.7=pyhd8ed1ab_0

- cffi=1.15.1=py310h255011f_3

- charset-normalizer=2.1.1=pyhd8ed1ab_0

- comm=0.1.2=pyhd8ed1ab_0

- contourpy=1.0.7=py310hdf3cbec_0

- cryptography=39.0.2=py310h34c0648_0

- cycler=0.11.0=pyhd8ed1ab_0

- debugpy=1.6.6=py310heca2aa9_0

- decorator=5.1.1=pyhd8ed1ab_0

- defusedxml=0.7.1=pyhd8ed1ab_0

- dill=0.3.6=pyhd8ed1ab_1

- entrypoints=0.4=pyhd8ed1ab_0

- executing=1.2.0=pyhd8ed1ab_0

- flit-core=3.8.0=pyhd8ed1ab_0

- fonttools=4.39.0=py310h1fa729e_0

- freetype=2.12.1=hca18f0e_1

- icu=70.1=h27087fc_0

- idna=3.4=pyhd8ed1ab_0

- importlib-metadata=6.0.0=pyha770c72_0

- importlib_metadata=6.0.0=hd8ed1ab_0

- importlib_resources=5.12.0=pyhd8ed1ab_0

- ipykernel=6.21.3=pyh210e3f2_0

- ipython=8.11.0=pyh41d4057_0

- ipython_genutils=0.2.0=py_1

- jedi=0.18.2=pyhd8ed1ab_0

- jinja2=3.1.2=pyhd8ed1ab_1

- joblib=1.2.0=pyhd8ed1ab_0

- json5=0.9.5=pyh9f0ad1d_0

- jsonschema=4.17.3=pyhd8ed1ab_0

- jupyter_client=8.0.3=pyhd8ed1ab_0

- jupyter_core=5.2.0=py310hff52083_0

- jupyter_events=0.6.3=pyhd8ed1ab_0

- jupyter_server=2.4.0=pyhd8ed1ab_0

- jupyter_server_fileid=0.8.0=pyhd8ed1ab_0

- jupyter_server_terminals=0.4.4=pyhd8ed1ab_1

- jupyter_server_ydoc=0.6.1=pyhd8ed1ab_0

- jupyter_ydoc=0.2.2=pyhd8ed1ab_0

- jupyterlab=3.6.1=pyhd8ed1ab_0

- jupyterlab_pygments=0.2.2=pyhd8ed1ab_0

- jupyterlab_server=2.20.0=pyhd8ed1ab_0

- kiwisolver=1.4.4=py310hbf28c38_1

- lcms2=2.15=haa2dc70_1

- ld_impl_linux-64=2.40=h41732ed_0

- lerc=4.0.0=h27087fc_0

- libblas=3.9.0=16_linux64_mkl

- libbrotlicommon=1.0.9=h166bdaf_8

- libbrotlidec=1.0.9=h166bdaf_8

- libbrotlienc=1.0.9=h166bdaf_8

- libcblas=3.9.0=16_linux64_mkl

- libdeflate=1.17=h0b41bf4_0

- libffi=3.4.2=h7f98852_5

- libgcc-ng=12.2.0=h65d4601_19

- libgfortran-ng=12.2.0=h69a702a_19

- libgfortran5=12.2.0=h337968e_19

- libhwloc=2.9.0=hd6dc26d_0

- libiconv=1.17=h166bdaf_0

- libjpeg-turbo=2.1.5.1=h0b41bf4_0

- liblapack=3.9.0=16_linux64_mkl

- liblapacke=3.9.0=16_linux64_mkl

- libnsl=2.0.0=h7f98852_0

- libpng=1.6.39=h753d276_0

- libsodium=1.0.18=h36c2ea0_1

- libsqlite=3.40.0=h753d276_0

- libstdcxx-ng=12.2.0=h46fd767_19

- libtiff=4.5.0=hddfeb54_5

- libuuid=2.32.1=h7f98852_1000

- libwebp-base=1.3.0=h0b41bf4_0

- libxcb=1.13=h7f98852_1004

- libxml2=2.10.3=h7463322_0

- libzlib=1.2.13=h166bdaf_4

- llvm-openmp=15.0.7=h0cdce71_0

- markupsafe=2.1.2=py310h1fa729e_0

- matplotlib-base=3.7.1=py310he60537e_0

- matplotlib-inline=0.1.6=pyhd8ed1ab_0

- mistune=2.0.5=pyhd8ed1ab_0

- mkl=2022.1.0=h84fe81f_915

- mkl-devel=2022.1.0=ha770c72_916

- mkl-include=2022.1.0=h84fe81f_915

- munkres=1.1.4=pyh9f0ad1d_0

- nbclassic=0.5.3=pyhb4ecaf3_3

- nbclient=0.7.2=pyhd8ed1ab_0

- nbconvert=7.2.9=pyhd8ed1ab_0

- nbconvert-core=7.2.9=pyhd8ed1ab_0

- nbconvert-pandoc=7.2.9=pyhd8ed1ab_0

- nbformat=5.7.3=pyhd8ed1ab_0

- ncurses=6.3=h27087fc_1

- nest-asyncio=1.5.6=pyhd8ed1ab_0

- notebook=6.5.3=pyha770c72_0

- notebook-shim=0.2.2=pyhd8ed1ab_0

- numpy=1.24.2=py310h8deb116_0

- openjpeg=2.5.0=hfec8fc6_2

- openssl=3.0.8=h0b41bf4_0

- packaging=23.0=pyhd8ed1ab_0

- pandas=1.5.3=py310h9b08913_0

- pandoc=2.19.2=h32600fe_2

- pandocfilters=1.5.0=pyhd8ed1ab_0

- parso=0.8.3=pyhd8ed1ab_0

- patsy=0.5.3=pyhd8ed1ab_0

- pexpect=4.8.0=pyh1a96a4e_2

- pickleshare=0.7.5=py_1003

- pillow=9.4.0=py310h065c6d2_2

- pip=23.0.1=pyhd8ed1ab_0

- pkgutil-resolve-name=1.3.10=pyhd8ed1ab_0

- platformdirs=3.1.1=pyhd8ed1ab_0

- pooch=1.7.0=pyhd8ed1ab_0

- prometheus_client=0.16.0=pyhd8ed1ab_0

- prompt-toolkit=3.0.38=pyha770c72_0

- prompt_toolkit=3.0.38=hd8ed1ab_0

- psutil=5.9.4=py310h5764c6d_0

- pthread-stubs=0.4=h36c2ea0_1001

- ptyprocess=0.7.0=pyhd3deb0d_0

- pure_eval=0.2.2=pyhd8ed1ab_0

- pycodestyle=2.10.0=pyhd8ed1ab_0

- pycparser=2.21=pyhd8ed1ab_0

- pygments=2.14.0=pyhd8ed1ab_0

- pyopenssl=23.0.0=pyhd8ed1ab_0

- pyparsing=3.0.9=pyhd8ed1ab_0

- pyrsistent=0.19.3=py310h1fa729e_0

- pysocks=1.7.1=pyha2e5f31_6

- python=3.10.9=he550d4f_0_cpython

- python-dateutil=2.8.2=pyhd8ed1ab_0

- python-fastjsonschema=2.16.3=pyhd8ed1ab_0

- python-json-logger=2.0.7=pyhd8ed1ab_0

- python_abi=3.10=3_cp310

- pytorch=1.13.1=py3.10_cpu_0

- pytorch-mutex=1.0=cpu

- pytz=2022.7.1=pyhd8ed1ab_0

- pyyaml=6.0=py310h5764c6d_5

- pyzmq=25.0.0=py310h059b190_0

- readline=8.1.2=h0f457ee_0

- requests=2.28.2=pyhd8ed1ab_0

- rfc3339-validator=0.1.4=pyhd8ed1ab_0

- rfc3986-validator=0.1.1=pyh9f0ad1d_0

- scikit-learn=1.2.2=py310h209a8ca_0

- scipy=1.10.1=py310h8deb116_0

- seaborn=0.12.2=hd8ed1ab_0

- seaborn-base=0.12.2=pyhd8ed1ab_0

- send2trash=1.8.0=pyhd8ed1ab_0

- setuptools=67.6.0=pyhd8ed1ab_0

- six=1.16.0=pyh6c4a22f_0

- sniffio=1.3.0=pyhd8ed1ab_0

- soupsieve=2.3.2.post1=pyhd8ed1ab_0

- stack_data=0.6.2=pyhd8ed1ab_0

- statsmodels=0.13.5=py310hde88566_2

- tbb=2021.8.0=hf52228f_0

- terminado=0.17.1=pyh41d4057_0

- threadpoolctl=3.1.0=pyh8a188c0_0

- tinycss2=1.2.1=pyhd8ed1ab_0

- tk=8.6.12=h27826a3_0

- tomli=2.0.1=pyhd8ed1ab_0

- tornado=6.2=py310h5764c6d_1

- traitlets=5.9.0=pyhd8ed1ab_0

- typing-extensions=4.5.0=hd8ed1ab_0

- typing_extensions=4.5.0=pyha770c72_0

- tzdata=2022g=h191b570_0

- unicodedata2=15.0.0=py310h5764c6d_0

- urllib3=1.26.15=pyhd8ed1ab_0

- wcwidth=0.2.6=pyhd8ed1ab_0

- webencodings=0.5.1=py_1

- websocket-client=1.5.1=pyhd8ed1ab_0

- wheel=0.38.4=pyhd8ed1ab_0

- xorg-libxau=1.0.9=h7f98852_0

- xorg-libxdmcp=1.1.3=h7f98852_0

- xz=5.2.6=h166bdaf_0

- y-py=0.5.9=py310h4426083_0

- yaml=0.2.5=h7f98852_2

- ypy-websocket=0.8.2=pyhd8ed1ab_0

- zeromq=4.3.4=h9c3ff4c_1

- zipp=3.15.0=pyhd8ed1ab_0

- zstd=1.5.2=h3eb15da_6

- pip:

- colorama==0.4.6

- libtmux==0.21.0

- tmuxp==1.27.0

prefix: ~/software/anaconda3/envs/ve_iaa_pytorch

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ahlag avatar ahlag commented on September 25, 2024

@daeh
Is there a fix for this?

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evalieungh avatar evalieungh commented on September 25, 2024

Hi! In the stackoverflow question, someone suggested setting LAB_TOKEN="test".
I just tried changing --LabApp.token='' to --LabApp.token='test' in my Dockerfile and then re-build the Jupyter container with docker-compose up --build, and it seems to fix the problem!

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youurayy avatar youurayy commented on September 25, 2024

Use jupyter-notebook command instead of jupyter-server to provide the remote API.

The jupyter-server/ VSCode Jupyter connectivity is horribly broken.
The latest versions I found which worked:

  • jupyter-server: 1.23.6
  • VSCode Jupyter extension: 2022.6.1001890150 (worked on VSCode 1.77.0)

Notes:

  • It may be good to rm -rf ~/.ipython ~/.jupyter when experimenting with the server-side versions.
  • My client platform is latest OSX/arm Ventura 13.2.1, server is Ubuntu Server 22.10 x86_64.
  • The way to setup a remote Jupyter connection in VSCode 1.77.0 and Jupyter extension version 2023.3.1000892223:
    1. select "Existing Jupyter Server" and enter the URL
    2. restart VSCode
    3. select "Existing Jupyter Server" and select the previously entered server (which now has a visible entry)

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hbcarlos avatar hbcarlos commented on September 25, 2024

Hi everyone! Sorry for not getting back to you sooner.

Jupyter-Server v1 was a stateless single-user server. With the introduction of real-time collaboration in JupyterLab, we needed to track different users connecting to the same instance. For this reason, in Jupyter-Server v2, we introduced a new identity API. This identity API was designed to enable third-party extensions to swap the IdentityProvider.

The default implementation of Jupyter-Server is a stateless single-user server yet. With the default authorization, you can configure the server to use a password or a token, but it is the same for every user. Furthermore, since this is a stateless server, the default implementation of the identity provider uses cookies to track sessions, assuming every new session is a different user and generating random anonymous user identities. You can find more information here.

If you are using the default implementation, every time a client connects (either using a password or token authentication), we check whether there is a cookie with a user identity. If the cookie is absent, we generate a new random identity for that client and store it in a cookie.

To avoid generating a new user for each request, you must habilitate cookies in your client. I'm not entirely sure, but VS code might have a flag to enable cookies for remote sessions.

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daeh avatar daeh commented on September 25, 2024

thanks for the detailed explainer, @hbcarlos

Am I interpreting this right --- that you don't see a fix for anon token-auth coming from jupyter-server? Rather you're advising us to take the issue up with VS Code?

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hbcarlos avatar hbcarlos commented on September 25, 2024

Am I interpreting this right --- that you don't see a fix for anon token-auth coming from jupyter-server? Rather you're advising us to take the issue up with VS Code?

Hi @daeh. I'm sorry for not getting back to you sooner. I'm very busy at the moment.

It was not. Actually, I've been trying to reproduce the issue by following your description. Unfortunately, I'm not able to reproduce it. This is what I tried:

Attempt 1:

I used VSCode as a client to open a local notebook and connect to a remote kernel running on Jupyter Server on a different machine (the remote server is on the same network as my laptop).

  • Open an ssh connection with port forwarding into the server ssh -L 8888:192.168.1.2:8888 [email protected].
  • Launch Jupyter server in the remote machine jupyter-server --no-browser --port=8888 --ip="192.168.1.2"
  • Copy the URL with the token from the terminal
  • Use VSCode to open a local notebook
  • From VSCode, Select a kernel -> Existing Jupyter server -> enter URL to server -> http://127.0.0.1:8888/?token=<token>

This works as expected. It does not generate multiple users.

Attempt 2:

I connected to a JupyterLab instance in a remote server using ssh port forwarding.

  • Open an ssh connection with port forwarding into the server ssh -L 8888:192.168.1.2:8888 [email protected].
  • Launch JupyterLab in the remote machine jupyter-lab --no-browser
  • Copy the URL with the token from the terminal
  • Use the browser to connect to the JupyterLab instance using http://127.0.0.1:8888/?token=<token>

This works as expected. It does not generate multiple users.

I was using:
VSCode: 1.77.1
VSCode Jupyter extension: v2023.3.1201040234
Jupyter Server: 2.5.0
JupyterLab: 3.6.3

Can you confirm you are using the latest version of VSCode and VSCode Jupyter extension?

If that's the case, is your remote Jupyter server running under a proxy?

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echarles avatar echarles commented on September 25, 2024

I have tested on my vscode connecting a notebook to a running jupyter server and it looks working fine as a user (I can run the notebook cells). The server log show the following, is that expected?

[I 2023-04-13 16:53:16.962 ServerApp] Generating new user for token-authenticated request: ecac822e57df40bdb76a6ba2f69509db
[I 2023-04-13 16:53:22.015 ServerApp] Generating new user for token-authenticated request: 22024ab735fc4ea497b01add51435bfd
[I 2023-04-13 16:53:22.016 ServerApp] Generating new user for token-authenticated request: 50c7eaae6cb14dc4a1d4f026d19d8ca7
[I 2023-04-13 16:53:26.904 ServerApp] Generating new user for token-authenticated request: 059c6e773aee4c479983670e1f0c7294
[I 2023-04-13 16:53:26.967 ServerApp] Generating new user for token-authenticated request: e745099bf9ad410aab9ed2f9c6a8738a

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echarles avatar echarles commented on September 25, 2024

This previous has been run on VSCode Version: 1.76.2 (Universal) (Date: 2023-03-14T17:54:09.061Z (4 wks ago)) and jupyter server 2.6.0.dev0

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zthxxx avatar zthxxx commented on September 25, 2024

@hbcarlos

This is an issue with VSCode, not with Jupiter Server.

I think so, and report it to microsoft/vscode-jupyter#13345

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olevski avatar olevski commented on September 25, 2024

What is the name of the cookie that Jupyter Server sets to track sessions? I am running the server behind a proxy and some cookies are stripped by the proxy. So I want to make sure that these session cookies are not stripped and they go through.

I checked the links to the documentation and the cookie name is not mentioned as far as I can tell.

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