Open tstreibl opened 2 years ago
maarten-betman
commented
2 years ago I'm having the same issue with a TLJH deployment on a VM running Ubuntu 20.02. I've used cdsdashboards==0.5.7 since there is remark in the changelog when user DockerSpawner, but nu luck unfortunately.
maarten-betman
commented
2 years ago I was struggling with the folder rights to write to folder after mounting volumes. I saw a tip somewhere on github (sorry can't find where at the moment) to include a pre_spawn_hook to create folder and alter the ownership. Further it advised to add c.DockerSpawner.extra_create_kwargs = {"user": "root"}. After commenting this out the containers successfully started for dashboards.
yannsartori
commented
2 years ago Something like @maarten-betman's solution kind of worked (in my case, I had spawner.extra_container_spec = {'user': '0'} in my pre_spawn_hook) in that I didn't encounter the "module not found issue". However, this solution was not satisfactory because the files in the server's containers weren't being mounted properly.
It seems that by using root as the user, the conda environment wasn't being sourced, and so the command python3 being used didn't have the jhsingle module. However, the command python does have the jhsingle module. Hence, I added the following command to my jupyterhub_config.py to use python instead of python3:
c.VariableMixin.default_presentation_cmd = ['start.sh', 'python', '-m', 'jhsingle_native_proxy.main']and it seemed to have resolve it in my case.
Describe the bug I try to run a dockerized Jupyterhub with ContaindDS Dashboard using traefik as reverse proxy. Everything works fine except the creation of a containds dashbord, failing with a HTTP 500 error. I'm not very experianced so any hint what I'm doing wrong would be welcome.
To Reproduce I use a .ipynb notebook which I could watch with voila within my user notebook for testing. When I try to use the dashboard interface to turn this testnotebook into a ContainDS Dashboard I get the HTTP 500 error.
Screenshots
Configuration I used standard Docker Files for Jupyterhub and Jupyterlab (for Jupyterhub: jupyterhub/jupyterhub:2.0.1 or jupyterhub/jupyterhub:1.5.0; for Jupyterlab jupyter/scipy-notebook:hub-2.0.1 or a jupyter/scipy-notebook:hub-1.5.0), added the necessary ContainDS packages ( voila,streamlit,dash,cdsdashboards,jhsingle-native-proxy, jupyter-containds ) via pip install and created images for Jupyterhub and Jupyterlab. Those images are used in a docker_compose container for the Jupyterhub/Jupyterlab services . The traefik reverse proxy is running in a seperate container and provides the network for the jupyter container (Full setup see https://github.com/tstreibl/Jupyterhub_Traefik_ContainDS_Test; readme in doc folder contains more details).
classes used:
During the final build phase (log says "In do_final_build") the containds container fails, because the "jhsingle_native_proxy.main" module could not be found, although I pip installed it in the jupyterhub and in the jupyterlab images. For that reason the containds container never shows up on the network, which results in a timeout and probably the http 500 error.
I have no idea if I used the wrong docker files for jupyterhub/jupyterlab, if I messed up building the images, especially the pip installations or if it's a network issue concerning traefik and the way the traefik network is provided to jupyterhub.
Log from containds dashboard container which gets spawned and fails
```text Entered start.sh with args: python3 -m jhsingle_native_proxy.main --destport=0 python3 {-}m voila {presentation_path} {--}port={port} {--}no-browser {--}Voila.base_url={base_url}/ {--}Voila.server_url=/ --progressive --presentation-path=/home/jovyan/voila_test.ipynb --ip=0.0.0.0 --port=8888 {--}debug --debug Granting jovyan passwordless sudo rights! Running as jovyan: python3 -m jhsingle_native_proxy.main --destport=0 python3 {-}m voila {presentation_path} {--}port={port} {--}no-browser {--}Voila.base_url={base_url}/ {--}Voila.server_url=/ --progressive --presentation-path=/home/jovyan/voila_test.ipynb --ip=0.0.0.0 --port=8888 {--}debug --debug /opt/conda/bin/python3: Error while finding module specification for 'jhsingle_native_proxy.main' (ModuleNotFoundError: No module named 'jhsingle_native_proxy') ```log from jupyterlab container waiting for the containds dashboard container to show up
```text [I 2021-12-27 21:23:41.370 JupyterHub dockerspawner:1272] Created container jupyter-tstreibl-dash-2dtest-2ddashboard (id: e773946) from image jupyterlab_img [I 2021-12-27 21:23:41.370 JupyterHub dockerspawner:1296] Starting container jupyter-tstreibl-dash-2dtest-2ddashboard (id: e773946) [I 2021-12-27 21:23:41.437 JupyterHub log:189] 200 GET /hub/dashboards/test-dashboard (tstreibl@::ffff:46.128.245.7) 25.37ms [D 2021-12-27 21:23:41.661 JupyterHub log:189] 304 GET /hub/dashboards-static/css/style.css (@::ffff:46.128.245.7) 1.30ms [D 2021-12-27 21:23:41.810 JupyterHub log:189] 200 GET /hub/dashboards-static/js/viewdashboard.js?v=20211227212041 (@::ffff:46.128.245.7) 2.53ms [D 2021-12-27 21:23:42.011 JupyterHub spawner:1221] Polling subprocess every 30s [D 2021-12-27 21:23:51.266 JupyterHub dockerspawner:982] Getting container 'jupyter-tstreibl-dash-2dtest-2ddashboard' [D 2021-12-27 21:23:51.272 JupyterHub dockerspawner:967] Container e773946 status: {'Dead': False, 'Error': '', 'ExitCode': 1, 'FinishedAt': '2021-12-27T20:23:42.0838958Z', 'OOMKilled': False, 'Paused': False, 'Pid': 0, 'Restarting': False, 'Running': False, 'StartedAt': '2021-12-27T20:23:41.995181933Z', 'Status': 'exited'} [D 2021-12-27 21:23:51.273 JupyterHub base:226] In do_final_build [W 2021-12-27 21:23:51.273 JupyterHub web:1787] 500 GET /hub/dashboards-api/test-dashboard/progress (::ffff:46.128.245.7): Spawner failed to start [status=ExitCode=1, Error='', FinishedAt=2021-12-27T20:23:42.0838958Z]. The logs for tstreibl:dash-test-dashboard may contain details. [E 2021-12-27 21:23:51.274 JupyterHub web:1197] Cannot send error response after headers written [I 2021-12-27 21:23:51.275 JupyterHub log:189] 200 GET /hub/dashboards-api/test-dashboard/progress (tstreibl@::ffff:46.128.245.7) 9393.61ms [I 2021-12-27 21:23:56.422 JupyterHub log:189] 200 GET /hub/dashboards-api/test-dashboard/progress (tstreibl@::ffff:46.128.245.7) 10.12ms [D 2021-12-27 21:24:07.639 JupyterHub dockerspawner:982] Getting container 'jupyter-tstreibl-' [D 2021-12-27 21:24:07.661 JupyterHub dockerspawner:967] Container a840df8 status: {'Dead': False, 'Error': '', 'ExitCode': 0, 'FinishedAt': '0001-01-01T00:00:00Z', 'OOMKilled': False, 'Paused': False, 'Pid': 197417, 'Restarting': False, 'Running': True, 'StartedAt': '2021-12-27T20:21:37.61964646Z', 'Status': 'running'} [D 2021-12-27 21:24:12.015 JupyterHub dockerspawner:982] Getting container 'jupyter-tstreibl-dash-2dtest-2ddashboard' [D 2021-12-27 21:24:12.021 JupyterHub dockerspawner:967] Container e773946 status: {'Dead': False, 'Error': '', 'ExitCode': 1, 'FinishedAt': '2021-12-27T20:23:42.0838958Z', 'OOMKilled': False, 'Paused': False, 'Pid': 0, 'Restarting': False, 'Running': False, 'StartedAt': '2021-12-27T20:23:41.995181933Z', 'Status': 'exited'} [W 2021-12-27 21:24:22.376 JupyterHub user:811] tstreibl's server never showed up at http://192.168.144.4:8888/user/tstreibl/dash-test-dashboard/ after 30 seconds. Giving up. Common causes of this timeout, and debugging tips: 1. The server didn't finish starting, or it crashed due to a configuration issue. Check the single-user server's logs for hints at what needs fixing. 2. The server started, but is not accessible at the specified URL. This may be a configuration issue specific to your chosen Spawner. Check the single-user server logs and resource to make sure the URL is correct and accessible from the Hub. 3. (unlikely) Everything is working, but the server took too long to respond. To fix: increase `Spawner.http_timeout` configuration to a number of seconds that is enough for servers to become responsive. [D 2021-12-27 21:24:22.377 JupyterHub user:860] Stopping tstreibl:dash-test-dashboard [D 2021-12-27 21:24:22.377 JupyterHub dockerspawner:982] Getting container 'jupyter-tstreibl-dash-2dtest-2ddashboard' [D 2021-12-27 21:24:22.384 JupyterHub dockerspawner:967] Container e773946 status: {'Dead': False, 'Error': '', 'ExitCode': 1, 'FinishedAt': '2021-12-27T20:23:42.0838958Z', 'OOMKilled': False, 'Paused': False, 'Pid': 0, 'Restarting': False, 'Running': False, 'StartedAt': '2021-12-27T20:23:41.995181933Z', 'Status': 'exited'} [D 2021-12-27 21:24:22.401 JupyterHub user:883] Finished stopping tstreibl:dash-test-dashboard [E 2021-12-27 21:24:22.409 JupyterHub gen:623] Exception in Futuremodules installed in the jupyterlab container
```text (base) root@d815dc72447d:~# python3 -m pip list WARNING: The directory '/home/jovyan/.cache/pip' or its parent directory is not owned or is not writable by the current user. The cache has been disabled. Check the permissions and owner of that directory. If executing pip with sudo, you should use sudo's -H flag. Package Version ----------------------------- ----------- aiohttp 3.8.1 aiosignal 1.2.0 alembic 1.7.5 altair 4.1.0 anyio 3.3.4 appdirs 1.4.4 argon2-cffi 21.1.0 astor 0.8.1 async-generator 1.10 async-timeout 4.0.2 attrs 21.2.0 Babel 2.9.1 backcall 0.2.0 backports.functools-lru-cache 1.6.4 base58 2.1.1 beautifulsoup4 4.10.0 bleach 4.1.0 blinker 1.4 bokeh 2.4.1 Bottleneck 1.3.2 bqplot 0.12.31 Brotli 1.0.9 brotlipy 0.7.0 cached-property 1.5.2 cachetools 5.0.0 cdsdashboards 0.6.0 certifi 2021.10.8 certipy 0.1.3 cffi 1.15.0 chardet 4.0.0 charset-normalizer 2.0.0 click 7.1.2 cloudpickle 2.0.0 colorama 0.4.4 conda 4.10.3 conda-package-handling 1.7.3 cryptography 35.0.0 cycler 0.11.0 Cython 0.29.24 cytoolz 0.11.2 dash 2.0.0 dash-core-components 2.0.0 dash-html-components 2.0.0 dash-table 5.0.0 dask 2021.11.2 debugpy 1.5.1 decorator 5.1.0 defusedxml 0.7.1 dill 0.3.4 distributed 2021.11.2 entrypoints 0.3 Flask 2.0.2 Flask-Compress 1.10.1 fonttools 4.28.1 frozenlist 1.2.0 fsspec 2021.11.0 gitdb 4.0.9 GitPython 3.1.24 gmpy2 2.1.0rc1 greenlet 1.1.2 h5py 3.4.0 HeapDict 1.0.1 idna 3.1 imagecodecs 2021.8.26 imageio 2.9.0 importlib-metadata 4.8.2 importlib-resources 5.4.0 ipykernel 6.5.0 ipympl 0.8.2 ipython 7.29.0 ipython-genutils 0.2.0 ipywidgets 7.6.5 itsdangerous 2.0.1 jedi 0.18.1 jhsingle-native-proxy 0.8.0 Jinja2 3.0.3 joblib 1.1.0 json5 0.9.5 jsonschema 4.2.1 jupyter-client 7.0.6 jupyter-containds 0.2.2 jupyter-core 4.9.1 jupyter-server 1.11.2 jupyter-telemetry 0.1.0 jupyterhub 1.5.0 jupyterlab 3.2.4 jupyterlab-pygments 0.1.2 jupyterlab-server 2.8.2 jupyterlab-widgets 1.0.2 kiwisolver 1.3.2 libmambapy 0.18.1 llvmlite 0.37.0 locket 0.2.0 Mako 1.1.6 mamba 0.18.1 MarkupSafe 2.0.1 matplotlib 3.5.0 matplotlib-inline 0.1.3 mistune 0.8.4 mock 4.0.3 mpmath 1.2.1 msgpack 1.0.2 multidict 5.2.0 munkres 1.1.4 nbclassic 0.3.4 nbclient 0.5.9 nbconvert 6.3.0 nbformat 5.1.3 nest-asyncio 1.5.1 networkx 2.6.3 notebook 6.4.6 numba 0.54.1 numexpr 2.7.3 numpy 1.20.3 oauthlib 3.1.1 olefile 0.46 packaging 21.3 pamela 1.0.0 pandas 1.3.4 pandocfilters 1.5.0 parso 0.8.2 partd 1.2.0 patsy 0.5.2 pexpect 4.8.0 pickleshare 0.7.5 Pillow 8.4.0 pip 21.3.1 plotly 5.5.0 pluggy 1.0.0 pooch 1.5.2 prometheus-client 0.12.0 prompt-toolkit 3.0.22 protobuf 3.19.1 psutil 5.8.0 ptyprocess 0.7.0 pyarrow 6.0.1 pycosat 0.6.3 pycparser 2.21 pycurl 7.44.1 pydeck 0.7.1 Pygments 2.10.0 PyJWT 2.3.0 Pympler 1.0.1 pyOpenSSL 21.0.0 pyparsing 3.0.6 pyrsistent 0.18.0 PySocks 1.7.1 python-dateutil 2.8.2 python-json-logger 2.0.1 pytz 2021.3 pytz-deprecation-shim 0.1.0.post0 PyWavelets 1.2.0 PyYAML 6.0 pyzmq 22.3.0 requests 2.26.0 ruamel.yaml 0.17.17 ruamel.yaml.clib 0.2.6 ruamel-yaml-conda 0.15.80 scikit-image 0.18.3 scikit-learn 1.0.1 scipy 1.7.2 seaborn 0.11.2 Send2Trash 1.8.0 setuptools 59.2.0 simpervisor 0.4 six 1.16.0 smmap 5.0.0 sniffio 1.2.0 sortedcontainers 2.4.0 soupsieve 2.3 SQLAlchemy 1.4.27 statsmodels 0.13.1 streamlit 1.3.1 sympy 1.9 tables 3.6.1 tblib 1.7.0 tenacity 8.0.1 terminado 0.12.1 testpath 0.5.0 threadpoolctl 3.0.0 tifffile 2021.11.2 toml 0.10.2 toolz 0.11.2 tornado 6.1 tqdm 4.62.3 traitlets 5.1.1 traittypes 0.2.1 typing_extensions 4.0.0 tzdata 2021.5 tzlocal 4.1 urllib3 1.26.7 validators 0.18.2 voila 0.3.0 watchdog 2.1.6 wcwidth 0.2.5 webencodings 0.5.1 websocket-client 1.2.1 websockets 10.1 Werkzeug 2.0.2 wheel 0.37.0 widgetsnbextension 3.5.2 xlrd 2.0.1 yarl 1.7.2 zict 2.0.0 zipp 3.6.0 ```Docker File to create the jupyterhub image
```sh # see https://hub.docker.com/r/jupyterhub/jupyterhub/tags #FROM jupyterhub/jupyterhub:1.5.0 FROM jupyterhub/jupyterhub:2.0.1 COPY jupyterhub_config.py . #Example see https://stackoverflow.com/questions/27701930/how-to-add-users-to-docker-container #system user tstreibl and normal user testuser RUN useradd -r -m -s /bin/bash -g users -G sudo,users -p meinpasswort tstreibl #RUN useradd -m -s /bin/bash -g users -p meinpasswort tstreibl RUN useradd -m -s /bin/bash -g users -p testuserpasswort testuser USER root RUN apt-get -y update && apt-get install # voila-gridstack would be an option RUN pip3 install --no-cache-dir \ dockerspawner \ voila \ streamlit \ dash \ cdsdashboards \ jhsingle-native-proxy \ jupyter-containds \ oauthenticator #USER tstreibl # does not work, seems to be necessary that at the end user is root ```Docker File to create the jupyterlab image
```sh #see https://hub.docker.com/r/jupyter/scipy-notebook/tags #FROM jupyter/scipy-notebook:hub-1.5.0 FROM jupyter/scipy-notebook:hub-2.0.1 #FROM jupyter/scipy-notebook:latest USER root # vermutlich braucht man keines der Zusatzpackages; sagemath ist aber ein nettes addon # APT packages RUN apt-get update && \ apt-get install -y --no-install-recommends \ fonts-dejavu \ tzdata \ gfortran \ gcc \ scilab \ pari-gp \ libpari-dev \ sagemath \ sagemath-jupyter \ libgmp-dev \ && apt-get clean && \ rm -rf /var/lib/apt/lists/* USER $NB_UID #tornado is already installed #jhsingle-native-proxy seems to be required for cdsdashboards but is not automatically installed RUN pip3 install --no-cache-dir \ voila \ streamlit \ dash \ cdsdashboards \ jupyter-containds \ jhsingle-native-proxy \ bqplot && \ fix-permissions "${CONDA_DIR}" && \ fix-permissions "/home/${NB_USER}" # RUN conda install --quiet --yes \ # tornado \ # voila \ # streamlit \ # dash \ # cdsdashboards \ # jupyter-containds \ # jhsingle-native-proxy \ # bqplot && \ # fix-permissions $CONDA_DIR USER $NB_UID #seems to be mandatory that the user is not root at the end ```Docker-Compose file for the jpyterhub and jupyterlab services
```yaml version: "3.7" networks: #Enable connection with Traefik traefik: external: true jupyter_net: # entspricht ${INTERNAL_NETWORK} name: "jupyter_net" external: false driver: bridge # ohne den Bridge Mode funktioniert gar nichts volumes: jupyterhub_data: jupyterhub_config: services: jupyterhub: container_name: jupyterhub volumes: - /var/run/docker.sock:/var/run/docker.sock:ro - jupyterhub_data:/srv/jupyterhub # this volume must be deleted when changing jupyterhub_config.py otherwise changes won't reflect - jupyterhub_config:/etc/jupyterhub # all configurations - "/home/tilo/traefik/letsencrypt/certs/jupyter.tilostreibl.de:/certs:ro" networks: - traefik - ${INTERNAL_NETWORK} # - jupyter_net ports: - "8000:8000" # - "8001:8001" # - "8081:8081" - "8888:8888" # necessary? env_file: - ./.env environment: TZ: Europe/Stockholm #set the time zone in the container HOST: "${HOST}" COMPOSE_PROJECT_NAME: "${COMPOSE_PROJECT_NAME}" DOCKER_JUPYTER_CONTAINER: "${DOCKER_JUPYTER_CONTAINER}" #must match the image name build in jupyterlab service DOCKER_NOTEBOOK_DIR: "${DOCKER_NOTEBOOK_DIR}" # directory im Container innerhalb des für jupyterhub generierten binds, wo die jupyter notebooks der User gespeichert werden #- DOCKER_JUPYTER_CONTAINER=jupyterlab_img HUB_IP: jupyterhub #must match container_name (0.0.0.0 does not work) labels: - "traefik.enable=true" - "traefik.docker.network=${INTERNAL_NETWORK}" - "traefik.frontend.rule=Host:${HOST}" - "providers.docker=true" # Route HTTPS - "traefik.http.routers.jupyterhub-secure.entrypoints=web-secure" - "traefik.http.routers.jupyterhub-secure.rule=Host(`${HOST}`)" # Enable TLS - "traefik.http.routers.jupyterhub-secure.tls=true" # Enable Let's Encrypt HTTP challenge - "traefik.http.routers.traefik-secure-secured.tls.certresolver=letsencrypthttpchallenge" - "traefik.http.routers.jupyterhub-secure.tls.certresolver=letsencrypthttpchallenge" image: jupyterhub_img:latest build: context: ./jupyterhub restart: on-failure jupyterlab: container_name: jupyterlab-throaway build: context: ./jupyterlab restart: on-failure image: ${DOCKER_JUPYTER_CONTAINER}:latest networks: - ${INTERNAL_NETWORK} command: echo # to stop the container being run from docker - the hub will start the container env_file: - ./.env environment: TZ: Europe/Stockholm #set the time zone in the container DOCKER_NOTEBOOK_DIR: "${DOCKER_NOTEBOOK_DIR}" # directory im Container innerhalb des für jupyterhub generierten binds, wo die jupyter notebooks der User gespeichert werden GRANT_SUDO: 'yes' CHOWN_HOME: 'yes' CHOWN_HOME_OPTS: '-R' JUPYTERHUB_ANYONE: 1 JUPYTER_ENABLE_LAB: 'yes' #see https://github.com/jupyter/docker-stacks/issues/1217 NB_GID: 1000 # entspricht Group "users", der default eingerichtete javyan user gehört zu dieser Gruppe labels: # Connect to Traefik - "traefik.enable=true" - "traefik.frontend.rule=Host:${HOST}" - "traefik.docker.network= ${INTERNAL_NETWORK}" # Route HTTPS - "traefik.http.routers.jupyterlab-secure.entrypoints=web-secure" - "traefik.http.routers.jupyterlab-secure.rule=Host(`${HOST}`)" # Enable TLS - "traefik.http.routers.jupyterlab-secure.tls=true" # Enable Let's Encrypt HTTP challenge - "traefik.http.routers.jupyterlab-secure.tls.certresolver=letsencrypthttpchallenge" # Enable HSTS headers - "traefik.http.middlewares.hstsheaders.headers.stsSeconds=315360000" - "traefik.http.middlewares.hstsheaders.headers.forceSTSHeader=true" - "traefik.http.middlewares.hstsheaders.headers.stsPreload=true" - "traefik.http.middlewares.hstsheaders.headers.stsIncludeSubdomains=true" ```Docker-Compose file for the traefic reverse proxy
```yaml version: "3.7" networks: #Allow back-ends to communicate with this traefik: external: true name: traefik services: traefik: image: "traefik:latest" env_file: - ./.env container_name: "traefik" restart: always command: #Only if you want to use the Traefik Dashboard - "--log.level=DEBUG" - "--api.insecure=false" - "--api.dashboard=true" # Define Docker as the provider here - "--providers.docker=true" - "--providers.docker.exposedbydefault=false" #The location of where we will store our dynamic file with various configurations possible "on the fly" - "--providers.file.directory=/etc/traefik/dynamic" #Entrypoint -> is a front-end named "web" on HTTP Port 80 - "--entrypoints.web.address=:80" #Entrypoint -> is a front-end named "web-secure" on HTTPS Port 443 - "--entrypoints.web-secure.address=:443" #HTTP challenge as our method to acquire SSL certificates - "--certificatesresolvers.letsencrypthttpchallenge.acme.httpchallenge=true" - "--certificatesresolvers.letsencrypthttpchallenge.acme.httpchallenge.entrypoint=web" #Define Let's Encrypt as the issuer #- "--certificatesresolvers.letsencrypthttpchallenge.acme.email=webmaster@tilostreibl.de" - "--certificatesresolvers.letsencrypthttpchallenge.acme.email=${EMAIL}" #- "--certificatesresolvers.letsencrypthttpchallenge.acme.onhostrule=true" # Location of the acme.json file - "--certificatesresolvers.letsencrypthttpchallenge.acme.storage=/letsencrypt/acme.json" labels: - "traefik.enable=true" - "traefik.frontend.rule=Host:${DOMAIN}" - "traefik.docker.network=traefik" #This will enable SSL - "traefik.http.routers.traefik-secure.tls=true" #Enable Let's Encrypt HTTP challenge - "traefik.http.routers.traefik-secure.tls.certresolver=letsencrypthttpchallenge" #Use the web-secure as our entrypoint at 443 - "traefik.http.routers.traefik-secure.entrypoints=web-secure" #The router here is just called traefik-secure and the FQDN rule - "traefik.http.routers.traefik-secure.rule=Host(`${DASHBOARD}`)" #Enable traefik-auth middleware to use - "traefik.http.routers.traefik-secure.middlewares=traefik-auth" #Refer to traefik's dashboard service - "traefik.http.routers.traefik-secure.service=api@internal" #Hashed Password for the dashboard - "traefik.http.middlewares.traefik-auth.basicauth.users=admin:${ADMIN_PASS}" #Global redirection: http to https - traefik.http.routers.http-catchall.rule=HostRegexp(`{host:(www\.)?.+}`) - traefik.http.routers.http-catchall.entrypoints=web - traefik.http.routers.http-catchall.middlewares=wwwtohttps #Global redirection: https (www.) to https - traefik.http.routers.wwwsecure-catchall.rule=HostRegexp(`{host:(www\.).+}`) - traefik.http.routers.wwwsecure-catchall.entrypoints=web-secure - traefik.http.routers.wwwsecure-catchall.tls=true - traefik.http.routers.wwwsecure-catchall.middlewares=wwwtohttps #middleware: http(s)://(www.) to https:// - traefik.http.middlewares.wwwtohttps.redirectregex.regex=^https?://(?:www\.)?(.+) - traefik.http.middlewares.wwwtohttps.redirectregex.replacement=https://$${1} - traefik.http.middlewares.wwwtohttps.redirectregex.permanent=true #Specifying the Ports Traefik will listen on ports: - "80:80" - "443:443" #The network Traefik will use is just traefik networks: - "traefik" volumes: #Docker socket - "/var/run/docker.sock:/var/run/docker.sock:ro" #Let's Encrypt certificates in ./letsencrypt/acme.json - "./letsencrypt:/letsencrypt" #Mount the dynamic file configuration - ./dynamic-config.yaml:/etc/traefik/dynamic/dynamic-config.yaml #wandelt das Letsencrypt Zertifikat von Traefic aus der Datei acme.json in ander Zertifikat Formate im Verzeichnis dump um #wird für jupyter gebraucht, weil man dort keine acme.json einlesen kann, sondern die einzelnen privatekey.key und certificate.crt benötigt #Details: https://github.com/DanielHuisman/traefik-certificate-extractor #Details: https://github.com/ldez/traefik-certs-dumper/issues/46 certdumper: image: ldez/traefik-certs-dumper:latest logging: #man kann den Log Output nicht konfiguruieren, daher vorerst diese Methode um die Logs der anderen Apps besser zu sehen driver: none command: "file --watch --domain-subdir=true --version v2" volumes: - "./letsencrypt/acme.json:/acme.json:ro" - "./letsencrypt/certs:/dump" ```jupyterhub_config.py
```python #JupyterHub configuration # ##If you update this file, do not forget to delete the `jupyterhub_data` volume before restarting the jupyterhub service: ## ##docker volume rm jupyterhub_jupyterhub_data ## ## or, if you changed the COMPOSE_PROJECT_NAME to