jupyterlab-lsp Installing in a docker image

Description

Trying to install language servers into a dockerised notebook-server, and jupyterlab-lsp is not able to find the language server

no_typescript

For clarification, notebook servers are run in a cluster, and "home directories" are mounted from an external filestore - this means I cannot install libraries under $HOME, or assume any such files may exist.

Reproduce

My testing Dockerfile is:

FROM jupyter/minimal-notebook:python-3.9.13

ENV JUPYTER_RUNTIME_DIR=/tmp/.jupyter_runtime \
    JUPYTERLAB_ENABLED=true

RUN mamba install --quiet --yes \
  'jupyterlab-lsp' \
  'jedi-language-server' \
  'nodejs>=18.0' \
  &&  mamba clean --all -f -y

RUN jlpm add --modules-folder /opt/conda/lib/node_modules/ typescript-language-server

Build & run the image (docker build -t test . & docker run -it --rm -p 8888:8888 docker.io/library/test)
- note that Skipped non-installed server(s): .... in the logging includes typescript-language-server
Create a new file, and rename to test.ts
See the error from the Language Server in the footer of the notebook-server

Expected behavior

Having installed the language server, I would expect it to be accessible

Context

Operating System and version: Jupyter notebook server (happens to be Ubuntu 22.04)
Browser and version: Tested in Firefox (113.0.1) and Edge (114.0.1823.18) - on an ubuntu workstation
JupyterLab version:

(base) jovyan@d9b0e2bc868b:~$ jupyter --version
Selected Jupyter core packages...
IPython          : 8.5.0
ipykernel        : 6.16.0
ipywidgets       : not installed
jupyter_client   : 7.3.5
jupyter_core     : 4.11.1
jupyter_server   : 1.23.4
jupyterlab       : 3.6.3
nbclient         : 0.7.0
nbconvert        : 7.2.1
nbformat         : 5.6.1
notebook         : 6.4.12
qtconsole        : not installed
traitlets        : 5.4.0

Language server and version:

jupyter-lsp               2.1.0              pyhd8ed1ab_0    conda-forge
jupyterlab-lsp            4.1.0              pyhd8ed1ab_0    conda-forge
jedi-language-server      0.34.8             pyhd8ed1ab_0    conda-forge

node --version ==> v18.15.0
jlpm info typescript-language-server | grep version ==> 3.3.2

Required: installed server extensions

(base) jovyan@d9b0e2bc868b:~$ jupyter server extension list Config dir: /home/jovyan/.jupyter

Config dir: /opt/conda/etc/jupyter jupyter_lsp enabled - Validating jupyter_lsp... jupyter_lsp 2.1.0 OK jupyter_server_fileid enabled - Validating jupyter_server_fileid... jupyter_server_fileid 0.9.0 OK jupyter_server_ydoc enabled - Validating jupyter_server_ydoc... jupyter_server_ydoc 0.8.0 OK jupyterlab enabled - Validating jupyterlab... jupyterlab 3.6.3 OK nbclassic enabled - Validating nbclassic... nbclassic 0.4.5 OK notebook_shim enabled - Validating notebook_shim... notebook_shim OK

Config dir: /usr/local/etc/jupyter

Required: installed lab extensions

(base) jovyan@d9b0e2bc868b:~$ jupyter labextension list
JupyterLab v3.6.3
/opt/conda/share/jupyter/labextensions
        jupyterlab_pygments v0.2.2 enabled OK (python, jupyterlab_pygments)
        @jupyter-lsp/jupyterlab-lsp v4.1.0 enabled OK (python, jupyterlab-lsp)

Troubleshoot Output

(base) jovyan@d9b0e2bc868b:~$ jupyter troubleshoot $PATH: /opt/conda/bin /opt/conda/condabin /opt/conda/bin /usr/local/sbin /usr/local/bin /usr/sbin /usr/bin /sbin /bin

sys.path: /opt/conda/bin /opt/conda/lib/python39.zip /opt/conda/lib/python3.9 /opt/conda/lib/python3.9/lib-dynload /opt/conda/lib/python3.9/site-packages

sys.executable: /opt/conda/bin/python

sys.version: 3.9.13 | packaged by conda-forge | (main, May 27 2022, 16:58:50) [GCC 10.3.0]

platform.platform(): Linux-5.15.0-72-generic-x86_64-with-glibc2.35

which -a jupyter: /opt/conda/bin/jupyter /opt/conda/bin/jupyter

pip list: Package Version ----------------------------- ----------- aiofiles 22.1.0 aiosqlite 0.19.0 alembic 1.8.1 anyio 3.6.1 argon2-cffi 21.3.0 argon2-cffi-bindings 21.2.0 asttokens 2.0.8 async-generator 1.10 attrs 22.1.0 Babel 2.10.3 backcall 0.2.0 backports.functools-lru-cache 1.6.4 beautifulsoup4 4.11.1 bleach 5.0.1 blinker 1.5 brotlipy 0.7.0 certifi 2023.5.7 certipy 0.1.3 cffi 1.15.1 charset-normalizer 2.1.1 colorama 0.4.5 conda 22.9.0 conda-package-handling 1.9.0 cryptography 40.0.2 debugpy 1.6.3 decorator 5.1.1 defusedxml 0.7.1 docstring-to-markdown 0.12 entrypoints 0.4 executing 1.1.1 fastjsonschema 2.16.2 flit_core 3.7.1 greenlet 1.1.3 idna 3.4 importlib-metadata 4.11.4 importlib-resources 5.10.0 ipykernel 6.16.0 ipython 8.5.0 ipython-genutils 0.2.0 jedi 0.18.0 jedi-language-server 0.34.8 Jinja2 3.1.2 json5 0.9.5 jsonschema 4.17.3 jupyter_client 7.3.5 jupyter_core 4.11.1 jupyter-events 0.6.3 jupyter-lsp 2.1.0 jupyter-server 1.23.4 jupyter_server_fileid 0.9.0 jupyter_server_ydoc 0.8.0 jupyter-telemetry 0.1.0 jupyter-ydoc 0.2.3 jupyterhub 3.0.0 jupyterlab 3.6.3 jupyterlab-lsp 4.1.0 jupyterlab-pygments 0.2.2 jupyterlab_server 2.22.1 libmambapy 1.4.2 Mako 1.2.3 mamba 1.4.2 MarkupSafe 2.1.1 matplotlib-inline 0.1.6 mistune 2.0.4 nbclassic 0.4.5 nbclient 0.7.0 nbconvert 7.2.1 nbformat 5.6.1 nest-asyncio 1.5.6 notebook 6.4.12 notebook-shim 0.1.0 oauthlib 3.2.1 packaging 21.3 pamela 1.0.0 pandocfilters 1.5.0 parso 0.8.3 pexpect 4.8.0 pickleshare 0.7.5 pip 22.2.2 pkgutil_resolve_name 1.3.10 prometheus-client 0.14.1 prompt-toolkit 3.0.31 psutil 5.9.2 ptyprocess 0.7.0 pure-eval 0.2.2 pycosat 0.6.3 pycparser 2.21 pycurl 7.45.1 pydantic 1.8.2 pygls 0.11.3 Pygments 2.13.0 PyJWT 2.5.0 pyOpenSSL 23.1.1 pyparsing 3.0.9 pyrsistent 0.18.1 PySocks 1.7.1 python-dateutil 2.8.2 python-json-logger 2.0.7 pytz 2022.4 PyYAML 6.0 pyzmq 24.0.1 requests 2.28.1 rfc3339-validator 0.1.4 rfc3986-validator 0.1.1 ruamel.yaml 0.17.21 ruamel.yaml.clib 0.2.6 ruamel-yaml-conda 0.15.80 Send2Trash 1.8.0 setuptools 65.4.1 six 1.16.0 sniffio 1.3.0 soupsieve 2.3.2.post1 SQLAlchemy 1.4.41 stack-data 0.5.1 terminado 0.16.0 tinycss2 1.1.1 tomli 2.0.1 toolz 0.12.0 tornado 6.2 tqdm 4.64.1 traitlets 5.4.0 typeguard 2.13.3 typing_extensions 4.4.0 urllib3 1.26.11 wcwidth 0.2.5 webencodings 0.5.1 websocket-client 1.4.1 wheel 0.37.1 y-py 0.5.9 ypy-websocket 0.8.2 zipp 3.9.0

conda list: # packages in environment at /opt/conda: # # Name Version Build Channel _libgcc_mutex 0.1 conda_forge conda-forge _openmp_mutex 4.5 2_gnu conda-forge aiofiles 22.1.0 pyhd8ed1ab_0 conda-forge aiosqlite 0.19.0 pyhd8ed1ab_0 conda-forge alembic 1.8.1 pyhd8ed1ab_0 conda-forge anyio 3.6.1 pyhd8ed1ab_1 conda-forge argon2-cffi 21.3.0 pyhd8ed1ab_0 conda-forge argon2-cffi-bindings 21.2.0 py39hb9d737c_2 conda-forge asttokens 2.0.8 pyhd8ed1ab_0 conda-forge async_generator 1.10 py_0 conda-forge attrs 22.1.0 pyh71513ae_1 conda-forge babel 2.10.3 pyhd8ed1ab_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 4.11.1 pyha770c72_0 conda-forge bleach 5.0.1 pyhd8ed1ab_0 conda-forge blinker 1.5 pyhd8ed1ab_0 conda-forge brotlipy 0.7.0 py39hb9d737c_1004 conda-forge bzip2 1.0.8 h7f98852_4 conda-forge c-ares 1.18.1 h7f98852_0 conda-forge ca-certificates 2023.5.7 hbcca054_0 conda-forge certifi 2023.5.7 pyhd8ed1ab_0 conda-forge certipy 0.1.3 py_0 conda-forge cffi 1.15.1 py39he91dace_0 conda-forge charset-normalizer 2.1.1 pyhd8ed1ab_0 conda-forge colorama 0.4.5 pyhd8ed1ab_0 conda-forge conda 22.9.0 py39hf3d152e_1 conda-forge conda-package-handling 1.9.0 py39hb9d737c_0 conda-forge configurable-http-proxy 4.5.4 he2f69ee_2 conda-forge cryptography 40.0.2 py39h079d5ae_0 conda-forge debugpy 1.6.3 py39h5a03fae_0 conda-forge decorator 5.1.1 pyhd8ed1ab_0 conda-forge defusedxml 0.7.1 pyhd8ed1ab_0 conda-forge docstring-to-markdown 0.12 pyhd8ed1ab_0 conda-forge entrypoints 0.4 pyhd8ed1ab_0 conda-forge executing 1.1.1 pyhd8ed1ab_0 conda-forge flit-core 3.7.1 pyhd8ed1ab_0 conda-forge fmt 9.1.0 h924138e_0 conda-forge greenlet 1.1.3 py39h5a03fae_0 conda-forge icu 72.1 hcb278e6_0 conda-forge idna 3.4 pyhd8ed1ab_0 conda-forge importlib-metadata 4.11.4 py39hf3d152e_0 conda-forge importlib_metadata 4.11.4 hd8ed1ab_0 conda-forge importlib_resources 5.10.0 pyhd8ed1ab_0 conda-forge ipykernel 6.16.0 pyh210e3f2_0 conda-forge ipython 8.5.0 pyh41d4057_1 conda-forge ipython_genutils 0.2.0 py_1 conda-forge jedi 0.18.0 py39hf3d152e_3 conda-forge jedi-language-server 0.34.8 pyhd8ed1ab_0 conda-forge jinja2 3.1.2 pyhd8ed1ab_1 conda-forge json5 0.9.5 pyh9f0ad1d_0 conda-forge jsonschema 4.17.3 pyhd8ed1ab_0 conda-forge jupyter-lsp 2.1.0 pyhd8ed1ab_0 conda-forge jupyter_client 7.3.5 pyhd8ed1ab_0 conda-forge jupyter_core 4.11.1 py39hf3d152e_0 conda-forge jupyter_events 0.6.3 pyhd8ed1ab_0 conda-forge jupyter_server 1.23.4 pyhd8ed1ab_0 conda-forge jupyter_server_fileid 0.9.0 pyhd8ed1ab_0 conda-forge jupyter_server_ydoc 0.8.0 pyhd8ed1ab_0 conda-forge jupyter_telemetry 0.1.0 pyhd8ed1ab_1 conda-forge jupyter_ydoc 0.2.3 pyhd8ed1ab_0 conda-forge jupyterhub 3.0.0 pyhd8ed1ab_0 conda-forge jupyterhub-base 3.0.0 pyhd8ed1ab_0 conda-forge jupyterlab 3.6.3 pyhd8ed1ab_0 conda-forge jupyterlab-lsp 4.1.0 pyhd8ed1ab_0 conda-forge jupyterlab_pygments 0.2.2 pyhd8ed1ab_0 conda-forge jupyterlab_server 2.22.1 pyhd8ed1ab_0 conda-forge keyutils 1.6.1 h166bdaf_0 conda-forge krb5 1.20.1 h81ceb04_0 conda-forge ld_impl_linux-64 2.36.1 hea4e1c9_2 conda-forge libarchive 3.6.2 h039dbb9_1 conda-forge libcurl 8.1.1 h409715c_0 conda-forge libedit 3.1.20191231 he28a2e2_2 conda-forge libev 4.33 h516909a_1 conda-forge libffi 3.4.2 h7f98852_5 conda-forge libgcc-ng 12.1.0 h8d9b700_16 conda-forge libgomp 12.1.0 h8d9b700_16 conda-forge libiconv 1.17 h166bdaf_0 conda-forge libmamba 1.4.2 hcea66bb_0 conda-forge libmambapy 1.4.2 py39hf0aba66_0 conda-forge libnghttp2 1.52.0 h61bc06f_0 conda-forge libnsl 2.0.0 h7f98852_0 conda-forge libsodium 1.0.18 h36c2ea0_1 conda-forge libsolv 0.7.23 h3eb15da_0 conda-forge libsqlite 3.39.4 h753d276_0 conda-forge libssh2 1.10.0 hf14f497_3 conda-forge libstdcxx-ng 12.1.0 ha89aaad_16 conda-forge libuuid 2.32.1 h7f98852_1000 conda-forge libuv 1.44.2 h166bdaf_0 conda-forge libxml2 2.11.4 h0d562d8_0 conda-forge libzlib 1.2.13 h166bdaf_4 conda-forge lz4-c 1.9.3 h9c3ff4c_1 conda-forge lzo 2.10 h516909a_1000 conda-forge mako 1.2.3 pyhd8ed1ab_0 conda-forge mamba 1.4.2 py39hc5d2bb1_0 conda-forge markupsafe 2.1.1 py39hb9d737c_1 conda-forge matplotlib-inline 0.1.6 pyhd8ed1ab_0 conda-forge mistune 2.0.4 pyhd8ed1ab_0 conda-forge nbclassic 0.4.5 pyhd8ed1ab_0 conda-forge nbclient 0.7.0 pyhd8ed1ab_0 conda-forge nbconvert 7.2.1 pyhd8ed1ab_0 conda-forge nbconvert-core 7.2.1 pyhd8ed1ab_0 conda-forge nbconvert-pandoc 7.2.1 pyhd8ed1ab_0 conda-forge nbformat 5.6.1 pyhd8ed1ab_0 conda-forge ncurses 6.3 h27087fc_1 conda-forge nest-asyncio 1.5.6 pyhd8ed1ab_0 conda-forge nodejs 18.15.0 h4abf6b9_1 conda-forge notebook 6.4.12 pyha770c72_0 conda-forge notebook-shim 0.1.0 pyhd8ed1ab_0 conda-forge oauthlib 3.2.1 pyhd8ed1ab_0 conda-forge openssl 3.1.0 hd590300_3 conda-forge packaging 21.3 pyhd8ed1ab_0 conda-forge pamela 1.0.0 py_0 conda-forge pandoc 2.19.2 ha770c72_0 conda-forge pandocfilters 1.5.0 pyhd8ed1ab_0 conda-forge parso 0.8.3 pyhd8ed1ab_0 conda-forge pexpect 4.8.0 pyh9f0ad1d_2 conda-forge pickleshare 0.7.5 py_1003 conda-forge pip 22.2.2 pyhd8ed1ab_0 conda-forge pkgutil-resolve-name 1.3.10 pyhd8ed1ab_0 conda-forge prometheus_client 0.14.1 pyhd8ed1ab_0 conda-forge prompt-toolkit 3.0.31 pyha770c72_0 conda-forge psutil 5.9.2 py39hb9d737c_0 conda-forge ptyprocess 0.7.0 pyhd3deb0d_0 conda-forge pure_eval 0.2.2 pyhd8ed1ab_0 conda-forge pybind11-abi 4 hd8ed1ab_3 conda-forge pycosat 0.6.3 py39hb9d737c_1010 conda-forge pycparser 2.21 pyhd8ed1ab_0 conda-forge pycurl 7.45.1 py39h9297c8b_3 conda-forge pydantic 1.8.2 py39h3811e60_2 conda-forge pygls 0.11.3 pyhd8ed1ab_0 conda-forge pygments 2.13.0 pyhd8ed1ab_0 conda-forge pyjwt 2.5.0 pyhd8ed1ab_0 conda-forge pyopenssl 23.1.1 pyhd8ed1ab_0 conda-forge pyparsing 3.0.9 pyhd8ed1ab_0 conda-forge pyrsistent 0.18.1 py39hb9d737c_1 conda-forge pysocks 1.7.1 pyha2e5f31_6 conda-forge python 3.9.13 h2660328_0_cpython conda-forge python-dateutil 2.8.2 pyhd8ed1ab_0 conda-forge python-fastjsonschema 2.16.2 pyhd8ed1ab_0 conda-forge python-json-logger 2.0.7 pyhd8ed1ab_0 conda-forge python_abi 3.9 2_cp39 conda-forge pytz 2022.4 pyhd8ed1ab_0 conda-forge pyyaml 6.0 py39hb9d737c_5 conda-forge pyzmq 24.0.1 py39headdf64_0 conda-forge readline 8.1.2 h0f457ee_0 conda-forge reproc 14.2.3 h7f98852_0 conda-forge reproc-cpp 14.2.3 h9c3ff4c_0 conda-forge requests 2.28.1 pyhd8ed1ab_1 conda-forge rfc3339-validator 0.1.4 pyhd8ed1ab_0 conda-forge rfc3986-validator 0.1.1 pyh9f0ad1d_0 conda-forge ruamel.yaml 0.17.21 py39hb9d737c_1 conda-forge ruamel.yaml.clib 0.2.6 py39hb9d737c_1 conda-forge ruamel_yaml 0.15.80 py39hb9d737c_1007 conda-forge send2trash 1.8.0 pyhd8ed1ab_0 conda-forge setuptools 65.4.1 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 sqlalchemy 1.4.41 py39hb9d737c_0 conda-forge sqlite 3.39.4 h4ff8645_0 conda-forge stack_data 0.5.1 pyhd8ed1ab_0 conda-forge terminado 0.16.0 pyh41d4057_0 conda-forge tinycss2 1.1.1 pyhd8ed1ab_0 conda-forge tk 8.6.12 h27826a3_0 conda-forge tomli 2.0.1 pyhd8ed1ab_0 conda-forge toolz 0.12.0 pyhd8ed1ab_0 conda-forge tornado 6.2 py39hb9d737c_0 conda-forge tqdm 4.64.1 pyhd8ed1ab_0 conda-forge traitlets 5.4.0 pyhd8ed1ab_0 conda-forge typeguard 2.13.3 pyhd8ed1ab_0 conda-forge typing-extensions 4.4.0 hd8ed1ab_0 conda-forge typing_extensions 4.4.0 pyha770c72_0 conda-forge tzdata 2022d h191b570_0 conda-forge urllib3 1.26.11 pyhd8ed1ab_0 conda-forge wcwidth 0.2.5 pyh9f0ad1d_2 conda-forge webencodings 0.5.1 py_1 conda-forge websocket-client 1.4.1 pyhd8ed1ab_0 conda-forge wheel 0.37.1 pyhd8ed1ab_0 conda-forge xz 5.2.6 h166bdaf_0 conda-forge y-py 0.5.9 py39h50f1755_0 conda-forge yaml 0.2.5 h7f98852_2 conda-forge yaml-cpp 0.7.0 h27087fc_2 conda-forge ypy-websocket 0.8.2 pyhd8ed1ab_0 conda-forge zeromq 4.3.4 h9c3ff4c_1 conda-forge zipp 3.9.0 pyhd8ed1ab_0 conda-forge zlib 1.2.13 h166bdaf_4 conda-forge zstd 1.5.2 h6239696_4 conda-forge

conda env: name: base channels: - conda-forge dependencies: - _libgcc_mutex=0.1=conda_forge - _openmp_mutex=4.5=2_gnu - aiofiles=22.1.0=pyhd8ed1ab_0 - aiosqlite=0.19.0=pyhd8ed1ab_0 - alembic=1.8.1=pyhd8ed1ab_0 - anyio=3.6.1=pyhd8ed1ab_1 - argon2-cffi=21.3.0=pyhd8ed1ab_0 - argon2-cffi-bindings=21.2.0=py39hb9d737c_2 - asttokens=2.0.8=pyhd8ed1ab_0 - async_generator=1.10=py_0 - attrs=22.1.0=pyh71513ae_1 - babel=2.10.3=pyhd8ed1ab_0 - backcall=0.2.0=pyh9f0ad1d_0 - backports=1.0=py_2 - backports.functools_lru_cache=1.6.4=pyhd8ed1ab_0 - beautifulsoup4=4.11.1=pyha770c72_0 - bleach=5.0.1=pyhd8ed1ab_0 - blinker=1.5=pyhd8ed1ab_0 - brotlipy=0.7.0=py39hb9d737c_1004 - bzip2=1.0.8=h7f98852_4 - c-ares=1.18.1=h7f98852_0 - ca-certificates=2023.5.7=hbcca054_0 - certifi=2023.5.7=pyhd8ed1ab_0 - certipy=0.1.3=py_0 - cffi=1.15.1=py39he91dace_0 - charset-normalizer=2.1.1=pyhd8ed1ab_0 - colorama=0.4.5=pyhd8ed1ab_0 - conda=22.9.0=py39hf3d152e_1 - conda-package-handling=1.9.0=py39hb9d737c_0 - configurable-http-proxy=4.5.4=he2f69ee_2 - cryptography=40.0.2=py39h079d5ae_0 - debugpy=1.6.3=py39h5a03fae_0 - decorator=5.1.1=pyhd8ed1ab_0 - defusedxml=0.7.1=pyhd8ed1ab_0 - docstring-to-markdown=0.12=pyhd8ed1ab_0 - entrypoints=0.4=pyhd8ed1ab_0 - executing=1.1.1=pyhd8ed1ab_0 - flit-core=3.7.1=pyhd8ed1ab_0 - fmt=9.1.0=h924138e_0 - greenlet=1.1.3=py39h5a03fae_0 - icu=72.1=hcb278e6_0 - idna=3.4=pyhd8ed1ab_0 - importlib-metadata=4.11.4=py39hf3d152e_0 - importlib_metadata=4.11.4=hd8ed1ab_0 - importlib_resources=5.10.0=pyhd8ed1ab_0 - ipykernel=6.16.0=pyh210e3f2_0 - ipython=8.5.0=pyh41d4057_1 - ipython_genutils=0.2.0=py_1 - jedi=0.18.0=py39hf3d152e_3 - jedi-language-server=0.34.8=pyhd8ed1ab_0 - jinja2=3.1.2=pyhd8ed1ab_1 - json5=0.9.5=pyh9f0ad1d_0 - jsonschema=4.17.3=pyhd8ed1ab_0 - jupyter-lsp=2.1.0=pyhd8ed1ab_0 - jupyter_client=7.3.5=pyhd8ed1ab_0 - jupyter_core=4.11.1=py39hf3d152e_0 - jupyter_events=0.6.3=pyhd8ed1ab_0 - jupyter_server=1.23.4=pyhd8ed1ab_0 - jupyter_server_fileid=0.9.0=pyhd8ed1ab_0 - jupyter_server_ydoc=0.8.0=pyhd8ed1ab_0 - jupyter_telemetry=0.1.0=pyhd8ed1ab_1 - jupyter_ydoc=0.2.3=pyhd8ed1ab_0 - jupyterhub=3.0.0=pyhd8ed1ab_0 - jupyterhub-base=3.0.0=pyhd8ed1ab_0 - jupyterlab=3.6.3=pyhd8ed1ab_0 - jupyterlab-lsp=4.1.0=pyhd8ed1ab_0 - jupyterlab_pygments=0.2.2=pyhd8ed1ab_0 - jupyterlab_server=2.22.1=pyhd8ed1ab_0 - keyutils=1.6.1=h166bdaf_0 - krb5=1.20.1=h81ceb04_0 - ld_impl_linux-64=2.36.1=hea4e1c9_2 - libarchive=3.6.2=h039dbb9_1 - libcurl=8.1.1=h409715c_0 - libedit=3.1.20191231=he28a2e2_2 - libev=4.33=h516909a_1 - libffi=3.4.2=h7f98852_5 - libgcc-ng=12.1.0=h8d9b700_16 - libgomp=12.1.0=h8d9b700_16 - libiconv=1.17=h166bdaf_0 - libmamba=1.4.2=hcea66bb_0 - libmambapy=1.4.2=py39hf0aba66_0 - libnghttp2=1.52.0=h61bc06f_0 - libnsl=2.0.0=h7f98852_0 - libsodium=1.0.18=h36c2ea0_1 - libsolv=0.7.23=h3eb15da_0 - libsqlite=3.39.4=h753d276_0 - libssh2=1.10.0=hf14f497_3 - libstdcxx-ng=12.1.0=ha89aaad_16 - libuuid=2.32.1=h7f98852_1000 - libuv=1.44.2=h166bdaf_0 - libxml2=2.11.4=h0d562d8_0 - libzlib=1.2.13=h166bdaf_4 - lz4-c=1.9.3=h9c3ff4c_1 - lzo=2.10=h516909a_1000 - mako=1.2.3=pyhd8ed1ab_0 - mamba=1.4.2=py39hc5d2bb1_0 - markupsafe=2.1.1=py39hb9d737c_1 - matplotlib-inline=0.1.6=pyhd8ed1ab_0 - mistune=2.0.4=pyhd8ed1ab_0 - nbclassic=0.4.5=pyhd8ed1ab_0 - nbclient=0.7.0=pyhd8ed1ab_0 - nbconvert=7.2.1=pyhd8ed1ab_0 - nbconvert-core=7.2.1=pyhd8ed1ab_0 - nbconvert-pandoc=7.2.1=pyhd8ed1ab_0 - nbformat=5.6.1=pyhd8ed1ab_0 - ncurses=6.3=h27087fc_1 - nest-asyncio=1.5.6=pyhd8ed1ab_0 - nodejs=18.15.0=h4abf6b9_1 - notebook=6.4.12=pyha770c72_0 - notebook-shim=0.1.0=pyhd8ed1ab_0 - oauthlib=3.2.1=pyhd8ed1ab_0 - openssl=3.1.0=hd590300_3 - packaging=21.3=pyhd8ed1ab_0 - pamela=1.0.0=py_0 - pandoc=2.19.2=ha770c72_0 - pandocfilters=1.5.0=pyhd8ed1ab_0 - parso=0.8.3=pyhd8ed1ab_0 - pexpect=4.8.0=pyh9f0ad1d_2 - pickleshare=0.7.5=py_1003 - pip=22.2.2=pyhd8ed1ab_0 - pkgutil-resolve-name=1.3.10=pyhd8ed1ab_0 - prometheus_client=0.14.1=pyhd8ed1ab_0 - prompt-toolkit=3.0.31=pyha770c72_0 - psutil=5.9.2=py39hb9d737c_0 - ptyprocess=0.7.0=pyhd3deb0d_0 - pure_eval=0.2.2=pyhd8ed1ab_0 - pybind11-abi=4=hd8ed1ab_3 - pycosat=0.6.3=py39hb9d737c_1010 - pycparser=2.21=pyhd8ed1ab_0 - pycurl=7.45.1=py39h9297c8b_3 - pydantic=1.8.2=py39h3811e60_2 - pygls=0.11.3=pyhd8ed1ab_0 - pygments=2.13.0=pyhd8ed1ab_0 - pyjwt=2.5.0=pyhd8ed1ab_0 - pyopenssl=23.1.1=pyhd8ed1ab_0 - pyparsing=3.0.9=pyhd8ed1ab_0 - pyrsistent=0.18.1=py39hb9d737c_1 - pysocks=1.7.1=pyha2e5f31_6 - python=3.9.13=h2660328_0_cpython - python-dateutil=2.8.2=pyhd8ed1ab_0 - python-fastjsonschema=2.16.2=pyhd8ed1ab_0 - python-json-logger=2.0.7=pyhd8ed1ab_0 - python_abi=3.9=2_cp39 - pytz=2022.4=pyhd8ed1ab_0 - pyyaml=6.0=py39hb9d737c_5 - pyzmq=24.0.1=py39headdf64_0 - readline=8.1.2=h0f457ee_0 - reproc=14.2.3=h7f98852_0 - reproc-cpp=14.2.3=h9c3ff4c_0 - requests=2.28.1=pyhd8ed1ab_1 - rfc3339-validator=0.1.4=pyhd8ed1ab_0 - rfc3986-validator=0.1.1=pyh9f0ad1d_0 - ruamel.yaml=0.17.21=py39hb9d737c_1 - ruamel.yaml.clib=0.2.6=py39hb9d737c_1 - ruamel_yaml=0.15.80=py39hb9d737c_1007 - send2trash=1.8.0=pyhd8ed1ab_0 - setuptools=65.4.1=pyhd8ed1ab_0 - six=1.16.0=pyh6c4a22f_0 - sniffio=1.3.0=pyhd8ed1ab_0 - soupsieve=2.3.2.post1=pyhd8ed1ab_0 - sqlalchemy=1.4.41=py39hb9d737c_0 - sqlite=3.39.4=h4ff8645_0 - stack_data=0.5.1=pyhd8ed1ab_0 - terminado=0.16.0=pyh41d4057_0 - tinycss2=1.1.1=pyhd8ed1ab_0 - tk=8.6.12=h27826a3_0 - tomli=2.0.1=pyhd8ed1ab_0 - toolz=0.12.0=pyhd8ed1ab_0 - tornado=6.2=py39hb9d737c_0 - tqdm=4.64.1=pyhd8ed1ab_0 - traitlets=5.4.0=pyhd8ed1ab_0 - typeguard=2.13.3=pyhd8ed1ab_0 - typing-extensions=4.4.0=hd8ed1ab_0 - typing_extensions=4.4.0=pyha770c72_0 - tzdata=2022d=h191b570_0 - urllib3=1.26.11=pyhd8ed1ab_0 - wcwidth=0.2.5=pyh9f0ad1d_2 - webencodings=0.5.1=py_1 - websocket-client=1.4.1=pyhd8ed1ab_0 - wheel=0.37.1=pyhd8ed1ab_0 - xz=5.2.6=h166bdaf_0 - y-py=0.5.9=py39h50f1755_0 - yaml=0.2.5=h7f98852_2 - yaml-cpp=0.7.0=h27087fc_2 - ypy-websocket=0.8.2=pyhd8ed1ab_0 - zeromq=4.3.4=h9c3ff4c_1 - zipp=3.9.0=pyhd8ed1ab_0 - zlib=1.2.13=h166bdaf_4 - zstd=1.5.2=h6239696_4 prefix: /opt/conda (base) jovyan@d9b0e2bc868b:~$

Command Line Output

(Started as a docker server)

❯ docker run -it --rm -p 8888:8888 docker.io/library/test Entered start.sh with args: jupyter lab Executing the command: jupyter lab [I 2023-05-30 10:37:39.635 ServerApp] jupyter_lsp | extension was successfully linked. [I 2023-05-30 10:37:39.640 ServerApp] jupyter_server_fileid | extension was successfully linked. [I 2023-05-30 10:37:39.644 ServerApp] jupyter_server_ydoc | extension was successfully linked. [I 2023-05-30 10:37:39.652 ServerApp] jupyterlab | extension was successfully linked. [W 2023-05-30 10:37:39.655 NotebookApp] 'ip' has moved from NotebookApp to ServerApp. This config will be passed to ServerApp. Be sure to update your config before our next release. [W 2023-05-30 10:37:39.655 NotebookApp] 'port' has moved from NotebookApp to ServerApp. This config will be passed to ServerApp. Be sure to update your config before our next release. [W 2023-05-30 10:37:39.655 NotebookApp] 'port' has moved from NotebookApp to ServerApp. This config will be passed to ServerApp. Be sure to update your config before our next release. [I 2023-05-30 10:37:39.659 ServerApp] nbclassic | extension was successfully linked. [I 2023-05-30 10:37:39.660 ServerApp] Writing Jupyter server cookie secret to /tmp/.jupyter_runtime/jupyter_cookie_secret [I 2023-05-30 10:37:39.791 ServerApp] notebook_shim | extension was successfully linked. [I 2023-05-30 10:37:39.805 ServerApp] notebook_shim | extension was successfully loaded. [I 2023-05-30 10:37:39.806 ServerApp] jupyter_lsp | extension was successfully loaded. [I 2023-05-30 10:37:39.807 FileIdExtension] Configured File ID manager: ArbitraryFileIdManager [I 2023-05-30 10:37:39.807 FileIdExtension] ArbitraryFileIdManager : Configured root dir: /home/jovyan [I 2023-05-30 10:37:39.807 FileIdExtension] ArbitraryFileIdManager : Configured database path: /home/jovyan/.local/share/jupyter/file_id_manager.db [I 2023-05-30 10:37:39.807 FileIdExtension] ArbitraryFileIdManager : Successfully connected to database file. [I 2023-05-30 10:37:39.807 FileIdExtension] ArbitraryFileIdManager : Creating File ID tables and indices with journal_mode = DELETE [I 2023-05-30 10:37:39.839 ServerApp] jupyter_server_fileid | extension was successfully loaded. [I 2023-05-30 10:37:39.841 ServerApp] jupyter_server_ydoc | extension was successfully loaded. [I 2023-05-30 10:37:39.843 LabApp] JupyterLab extension loaded from /opt/conda/lib/python3.9/site-packages/jupyterlab [I 2023-05-30 10:37:39.843 LabApp] JupyterLab application directory is /opt/conda/share/jupyter/lab [I 2023-05-30 10:37:39.846 ServerApp] jupyterlab | extension was successfully loaded. [I 2023-05-30 10:37:39.849 ServerApp] nbclassic | extension was successfully loaded. [I 2023-05-30 10:37:39.849 ServerApp] Serving notebooks from local directory: /home/jovyan [I 2023-05-30 10:37:39.849 ServerApp] Jupyter Server 1.23.4 is running at: [I 2023-05-30 10:37:39.849 ServerApp] http://d9b0e2bc868b:8888/lab?token=aac514859066c908c1fddc4aaf610726e9364c90037143ec [I 2023-05-30 10:37:39.849 ServerApp] or http://127.0.0.1:8888/lab?token=aac514859066c908c1fddc4aaf610726e9364c90037143ec [I 2023-05-30 10:37:39.849 ServerApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation). [C 2023-05-30 10:37:39.851 ServerApp]

To access the server, open this file in a browser:
    file:///tmp/.jupyter_runtime/jpserver-7-open.html
Or copy and paste one of these URLs:
    http://d9b0e2bc868b:8888/lab?token=aac514859066c908c1fddc4aaf610726e9364c90037143ec
 or http://127.0.0.1:8888/lab?token=aac514859066c908c1fddc4aaf610726e9364c90037143ec

[I 2023-05-30 10:37:39.863 ServerApp] Skipped non-installed server(s): bash-language-server, dockerfile-language-server-nodejs, javascript-typescript-langserver, julia-language-server, pyright, python-language-server, python-lsp-server, r-languageserver, sql-language-server, texlab, typescript-language-server, unified-language-server, vscode-css-languageserver-bin, vscode-html-languageserver-bin, vscode-json-languageserver-bin, yaml-language-server [W 2023-05-30 10:37:49.354 ServerApp] 404 GET /api/me?1685443069300 (172.17.0.1) 10.85ms referer=http://127.0.0.1:8888/lab [I 2023-05-30 10:37:51.047 LabApp] Build is up to date [I 2023-05-30 10:37:54.952 ServerApp] Creating new file in [I 2023-05-30 10:38:07.194 ServerApp] Saving file at /untitled.txt [I 2023-05-30 10:39:52.986 ServerApp] New terminal with automatic name: 1

May 30 '23 10:05 perllaghu

OK, getting there.....

I needed to install using npm install -g typescript-language-server
I needed to put a config file in a config dir

In this case, I created a file called typescript-language-server-implimentation.json, and put it in typescript-language-server-implimentation.json. The contents of that file are:

{
  "LanguageServerManager": {
    "language_servers": {
      "typescript-language-server-implimentation": {
        "version": 2,
        "argv": ["/opt/conda/bin/typescript-language-server", "--stdio"],
        "languages": ["typescript", "javascript"],
        "mime_types": ["text/typescript", "text/x-typescript", "text/javascript", "text/x-javascript"],
        "display_name": "Typescript/Javascript server"
      }
    }
  }
}

With a .ts file loaded, the footer menu is saying ... initializing, however the list shows it Connected. Whilst I'm getting tab-completion, I'm not getting any of the hinting or auto-completion that I get from the python-lsp-server

May 31 '23 13:05 perllaghu

Do you need to use the jupyter/minimal-notebook:python-3.9.13 ?

For me it worked by using the standart ferdora image, then creating a virtual environment and within that install all jupyterlab and lsp as well as the language server.

Heres the example:

FROM docker.io/library/fedora:latest

# ------------------------------
# install os libs
# ------------------------------
RUN dnf update -y && \
    dnf install -y python3-pip python3-virtualenv wget python3.8 htop && \
    dnf clean all

# ------------------------------
# add and use jupyter user
# also switch workdir
# ------------------------------
RUN useradd -ms /bin/bash juppy
USER juppy
WORKDIR /home/juppy
# make dir where host files can appear
RUN mkdir hostshared


# ------------------------------
# install jupyterlab and extensions
# ------------------------------
RUN virtualenv venv_juppy && \
    source venv_juppy/bin/activate && \
    pip install 'jupyterlab>=3.0.0,<4.0.0a0' jupyterlab-lsp && \
    pip install 'python-lsp-server[all]' && \
    pip install jupyterlab-code-formatter black isort && \
    pip cache purge && \
    deactivate && \
    ln -s / .lsp_symlink

 
# ------------------------------
# install different venvs
# and have them as kernels in the lab
# ------------------------------
# Evolution venv
RUN virtualenv venv_evolution && \
    source venv_evolution/bin/activate && \
    pip install --upgrade pip && \
    pip install numpy matplotlib && \
    pip install ipykernel && \
    python -m ipykernel install --user --name venv_evolution && \
    pip cache purge

# ------------------------------
# Final run cmd
# ------------------------------
# generate runscript
RUN echo "source venv_juppy/bin/activate && jupyter-lab --ContentsManager.allow_hidden=True --no-browser --ip 0.0.0.0 --port 8080" > juppy.sh
RUN chmod +x juppy.sh
CMD ["/home/juppy/juppy.sh"]

I then compile and run the container with podman, but docker should be like

docker build --no-cache -t juppy:latest -f juppy.dockerfile .
docker run -p 8080:8080  -v "${PWD_TO_BE_SHARED}":/home/juppy/hostshared:Z -i -t juppy bash

Jun 03 '23 19:06 Winnus

jupyterlab-lsp jupyterlab-lsp copied to clipboard

Installing in a docker image

Description

Reproduce

Expected behavior

Context

jupyterlab-lsp
jupyterlab-lsp copied to clipboard