Unable to use in Google Cloud Jupyter Notebook #139
Description
Bug description
I have not been able to get jupyter-rsession-proxy to work in a Google Cloud Vertex AI Jupyter Notebook.
I understand this is pretty niche and platform specific, even if you no one picks this up as a bug I'd love some guidance on what to do next. I've been beating my head against the wall a bit.
Expected behaviour
I have jupyter-rsession-proxy installed in a google Cloud Vertex AI Jupyter Notebook
Rstudio appears as an available type of notebook
When I click it I'm able to access R studio.
Actual behaviour
Rstudio appears as an available type of notebook, as expected
When I click on it a new tab opens the page attempts to load for a while, and then eventually fails with a too many redirects error.
It sounds alot like an issue that was recently fixed, but I am using the most up to date versions of all the relevant packages.
You can see an example of what the chain or redirects looks like here.
I'm not sure what the expected behavior is here, or I'd fork and try to adjust init.py / rewrite_netloc myself. I'm hoping someone with experience with how this redirection issue was solved elsewhere can provide some guidance.
How to reproduce
So to really reproduce, you'd have to
- Create a Vertex AI GCP R notebook, following the instructions here
https://cloud.google.com/architecture/data-science-with-r-on-gcp-eda#create_an_ai_platform_notebooks_instance_with_r
I know that first step is a tall ask, but I'm happy to work this myself if y'all could point me in the right directly.
You might be able to replicate the behavior with the docker container that GCP is using which is gcr.io/deeplearning-platform-release/r-cpu.4-2:latest
- Update the following packages
conda update jupyterlab
conda install jupyter-rsession-proxy
-
Restart the jupyter notebook
-
Click on the Rstudio icon in the launcher.
Your personal set up
My environment is based on the docker container gcr.io/deeplearning-platform-release/r-cpu.4-2:latest
I've attempted to make it as similar to the rocker containers in a hope to get this to work, here's the docker file I'm using
# -----------------------------------
# GCP ML Container
# -----------------------------------
FROM gcr.io/deeplearning-platform-release/r-cpu.4-2:latest
RUN conda update --all
RUN conda update jupyterlab
# -----------------------------------
# Install R Tools using Rocker
# -----------------------------------
# RStudio
RUN git clone https://github.com/rocker-org/rocker-versioned2.git
ENV R_VERSION=4.2.2
ENV R_HOME=/usr/local/lib/R
ENV TZ=Etc/UTC
ENV S6_VERSION=v2.1.0.2
ENV RSTUDIO_VERSION=2022.07.2+576
ENV DEFAULT_USER=jupyter
ENV PANDOC_VERSION=default
ENV QUARTO_VERSION=default
ENV SHINY_SERVER_VERSION=latest
ENV NB_USER=jupyter
RUN mv rocker-versioned2/scripts rocker_scripts
RUN /rocker_scripts/install_rstudio.sh
RUN /rocker_scripts/install_pandoc.sh
RUN /rocker_scripts/install_quarto.sh
# Rshiny
RUN R -e 'install.packages(c("littler","docopt"))'
RUN ln -sf "${R_HOME}/site-library/littler/bin/r" /usr/local/bin/r
RUN ln -sf "${R_HOME}/site-library/littler/examples/installGithub.r" /usr/local/bin/installGithub.r
RUN ln -sf /rocker_scripts/bin/install2.r /usr/local/bin/install2.r
RUN /rocker_scripts/install_shiny_server.sh
RUN chmod 777 /usr/local/lib/R/site-library
# -----------------------------------
# Application specific config
# -----------------------------------
RUN conda install jupyter-rsession-proxy
RUN R -e 'install.packages(c("renv","tidylog"))'
# RUN pip install git+https://github.com/jupyterhub/jupyter-rsession-proxy.git@master
- OS:
~$ cat /etc/os-release
NAME="Ubuntu"
VERSION="20.04.5 LTS (Focal Fossa)"
ID=ubuntu
ID_LIKE=debian
PRETTY_NAME="Ubuntu 20.04.5 LTS"
VERSION_ID="20.04"
HOME_URL="https://www.ubuntu.com/"
SUPPORT_URL="https://help.ubuntu.com/"
BUG_REPORT_URL="https://bugs.launchpad.net/ubuntu/"
PRIVACY_POLICY_URL="https://www.ubuntu.com/legal/terms-and-policies/privacy-policy"
VERSION_CODENAME=focal
UBUNTU_CODENAME=focal
Python 3.7.12
jupyter-rsession-proxy 2.1.0
jupyter-server-proxy 3.2.2
jupyterlab 3.4.8
Full environment
_libgcc_mutex 0.1 conda_forge conda-forge
_openmp_mutex 4.5 2_gnu conda-forge
absl-py 1.3.0 pyhd8ed1ab_0 conda-forge
aiohttp 3.8.3 py37h540881e_0 conda-forge
aiosignal 1.3.1 pyhd8ed1ab_0 conda-forge
alsa-lib 1.2.8 h166bdaf_0 conda-forge
ansiwrap 0.8.4 py_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 py37h540881e_2 conda-forge
async-timeout 4.0.2 pyhd8ed1ab_0 conda-forge
asynctest 0.13.0 py_0 conda-forge
attr 2.5.1 h166bdaf_1 conda-forge
attrs 22.1.0 pyh71513ae_1 conda-forge
babel 2.11.0 pyhd8ed1ab_0 conda-forge
backcall 0.2.0 pyh9f0ad1d_0 conda-forge
backports 1.0 py_2 conda-forge
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backports.functools_lru_cache 1.6.4 pyhd8ed1ab_0 conda-forge
bcrypt 3.2.2 py37h540881e_0 conda-forge
beatrix-jupyterlab 2022.1028.200048 pypi_0 pypi
beautifulsoup4 4.11.1 pyha770c72_0 conda-forge
black 22.10.0 py37h89c1867_1 conda-forge
bleach 5.0.1 pyhd8ed1ab_0 conda-forge
blinker 1.5 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 py37h540881e_1004 conda-forge
bzip2 1.0.8 h7f98852_4 conda-forge
c-ares 1.18.1 h7f98852_0 conda-forge
ca-certificates 2022.9.24 ha878542_0 conda-forge
cachetools 5.2.0 pyhd8ed1ab_0 conda-forge
certifi 2022.9.24 pyhd8ed1ab_0 conda-forge
cffi 1.15.1 py37h43b0acd_1 conda-forge
charset-normalizer 2.1.1 pyhd8ed1ab_0 conda-forge
click 8.1.3 py37h89c1867_0 conda-forge
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conda 22.9.0 py37h89c1867_1 conda-forge
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cryptography 38.0.2 py37h38fbfac_1 conda-forge
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dbus 1.13.6 h5008d03_3 conda-forge
debugpy 1.6.3 py37hd23a5d3_0 conda-forge
decorator 5.1.1 pyhd8ed1ab_0 conda-forge
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dlenv-base 1.0.20221030 py37hfeaa757_0 file:///tmp/conda
docker-py 6.0.0 pyhd8ed1ab_0 conda-forge
entrypoints 0.4 pyhd8ed1ab_0 conda-forge
expat 2.5.0 h27087fc_0 conda-forge
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font-ttf-ubuntu 0.83 hab24e00_0 conda-forge
fontconfig 2.14.1 hc2a2eb6_0 conda-forge
fonts-conda-ecosystem 1 0 conda-forge
fonts-conda-forge 1 0 conda-forge
fonttools 4.38.0 py37h540881e_0 conda-forge
freetype 2.12.1 hca18f0e_0 conda-forge
frozenlist 1.3.1 py37h540881e_0 conda-forge
fsspec 2022.11.0 pyhd8ed1ab_0 conda-forge
gcsfs 2022.11.0 pyhd8ed1ab_0 conda-forge
gettext 0.21.1 h27087fc_0 conda-forge
gitdb 4.0.9 pyhd8ed1ab_0 conda-forge
gitpython 3.1.29 pyhd8ed1ab_0 conda-forge
glib 2.74.1 h6239696_1 conda-forge
glib-tools 2.74.1 h6239696_1 conda-forge
google-api-core 1.33.2 pypi_0 pypi
google-api-core-grpcio-gcp 2.8.0 hd8ed1ab_1 conda-forge
google-api-python-client 1.8.0 pypi_0 pypi
google-auth 2.14.0 pyh1a96a4e_0 conda-forge
google-auth-httplib2 0.1.0 pyhd8ed1ab_1 conda-forge
google-auth-oauthlib 0.7.1 pyhd8ed1ab_0 conda-forge
google-cloud-aiplatform 1.18.2 pypi_0 pypi
google-cloud-appengine-logging 1.1.6 pypi_0 pypi
google-cloud-audit-log 0.2.4 pypi_0 pypi
google-cloud-bigquery 2.34.4 pypi_0 pypi
google-cloud-bigquery-storage 2.16.2 pypi_0 pypi
google-cloud-bigtable 2.13.2 pypi_0 pypi
google-cloud-core 2.3.2 pyhd8ed1ab_0 conda-forge
google-cloud-dataproc 5.0.3 pypi_0 pypi
google-cloud-datastore 2.9.0 pypi_0 pypi
google-cloud-firestore 2.7.2 pypi_0 pypi
google-cloud-kms 2.12.3 pypi_0 pypi
google-cloud-language 2.6.1 pypi_0 pypi
google-cloud-logging 3.2.5 pypi_0 pypi
google-cloud-monitoring 2.11.3 pypi_0 pypi
google-cloud-pubsub 2.13.10 pypi_0 pypi
google-cloud-resource-manager 1.6.3 pypi_0 pypi
google-cloud-scheduler 2.7.3 pypi_0 pypi
google-cloud-spanner 3.22.2 pypi_0 pypi
google-cloud-speech 2.16.2 pypi_0 pypi
google-cloud-storage 2.6.0 pyh1a96a4e_0 conda-forge
google-cloud-tasks 2.10.4 pypi_0 pypi
google-cloud-translate 3.8.4 pypi_0 pypi
google-cloud-videointelligence 2.8.3 pypi_0 pypi
google-cloud-vision 3.1.4 pypi_0 pypi
google-crc32c 1.1.2 py37h5d4fa31_3 conda-forge
google-resumable-media 2.4.0 pyhd8ed1ab_0 conda-forge
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greenlet 1.1.3 py37hd23a5d3_0 conda-forge
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grpcio 1.50.0 pypi_0 pypi
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htmlmin 0.1.12 py_1 conda-forge
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icu 70.1 h27087fc_0 conda-forge
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ipython 7.33.0 py37h89c1867_0 conda-forge
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jack 1.9.21 he978b8e_1 conda-forge
jaraco-classes 3.2.3 pypi_0 pypi
jedi 0.18.1 pyhd8ed1ab_2 conda-forge
jeepney 0.8.0 pypi_0 pypi
jinja2 3.1.2 pyhd8ed1ab_1 conda-forge
joblib 1.2.0 pyhd8ed1ab_0 conda-forge
jpeg 9e h166bdaf_2 conda-forge
json5 0.9.5 pyh9f0ad1d_0 conda-forge
jsonschema 4.17.0 pyhd8ed1ab_0 conda-forge
jupyter-http-over-ws 0.0.8 pypi_0 pypi
jupyter-rsession-proxy 2.1.0 pyhd8ed1ab_0 conda-forge
jupyter-server-mathjax 0.2.6 pyhc268e32_0 conda-forge
jupyter-server-proxy 3.2.2 pyhd8ed1ab_0 conda-forge
jupyter_client 7.4.5 pyhd8ed1ab_0 conda-forge
jupyter_core 4.11.1 py37h89c1867_0 conda-forge
jupyter_server 1.23.1 pyhd8ed1ab_0 conda-forge
jupyterlab 3.4.8 pyhd8ed1ab_0 conda-forge
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libudev1 252 h166bdaf_0 conda-forge
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libuv 1.44.2 h166bdaf_0 conda-forge
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llvmlite 0.39.1 py37h0761922_0 conda-forge
markdown-it-py 2.1.0 pyhd8ed1ab_0 conda-forge
markupsafe 2.1.1 py37h540881e_1 conda-forge
matplotlib 3.5.3 py37h89c1867_2 conda-forge
matplotlib-base 3.5.3 py37hf395dca_2 conda-forge
matplotlib-inline 0.1.6 pyhd8ed1ab_0 conda-forge
mdit-py-plugins 0.3.1 pyhd8ed1ab_0 conda-forge
mdurl 0.1.0 pyhd8ed1ab_0 conda-forge
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mistune 2.0.4 pyhd8ed1ab_0 conda-forge
more-itertools 9.0.0 pypi_0 pypi
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ncurses 6.3 h27087fc_1 conda-forge
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numpy 1.21.6 py37h976b520_0 conda-forge
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pip 22.3.1 pyhd8ed1ab_0 conda-forge
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ply 3.11 py_1 conda-forge
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protobuf 3.20.3 pypi_0 pypi
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pybind11-abi 4 hd8ed1ab_3 conda-forge
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pycparser 2.21 pyhd8ed1ab_0 conda-forge
pydantic 1.10.2 py37h540881e_0 conda-forge
pygments 2.13.0 pyhd8ed1ab_0 conda-forge
pyjwt 2.6.0 pyhd8ed1ab_0 conda-forge
pynacl 1.5.0 py37h540881e_1 conda-forge
pyopenssl 22.1.0 pyhd8ed1ab_0 conda-forge
pyparsing 3.0.9 pyhd8ed1ab_0 conda-forge
pyqt 5.15.7 py37hf30b843_1 conda-forge
pyqt5-sip 12.11.0 py37hd23a5d3_1 conda-forge
pyrsistent 0.18.1 py37h540881e_1 conda-forge
pysocks 1.7.1 py37h89c1867_5 conda-forge
python 3.7.12 hb7a2778_100_cpython conda-forge
python-dateutil 2.8.2 pyhd8ed1ab_0 conda-forge
python-fastjsonschema 2.16.2 pyhd8ed1ab_0 conda-forge
python_abi 3.7 2_cp37m conda-forge
pytz 2022.6 pyhd8ed1ab_0 conda-forge
pytz-deprecation-shim 0.1.0.post0 pypi_0 pypi
pyu2f 0.1.5 pyhd8ed1ab_0 conda-forge
pywavelets 1.3.0 py37hda87dfa_1 conda-forge
pywin32-on-windows 0.1.0 pyh1179c8e_3 conda-forge
pyyaml 6.0 py37h540881e_4 conda-forge
pyzmq 24.0.1 py37h0c0c2a8_0 conda-forge
qt-main 5.15.6 hd477bba_1 conda-forge
re2 2022.06.01 h27087fc_0 conda-forge
readline 8.1.2 h0f457ee_0 conda-forge
requests 2.28.1 pyhd8ed1ab_1 conda-forge
requests-oauthlib 1.3.1 pyhd8ed1ab_0 conda-forge
retrying 1.3.3 pypi_0 pypi
rpy2 3.5.5 pypi_0 pypi
rsa 4.9 pyhd8ed1ab_0 conda-forge
ruamel_yaml 0.15.80 py37h540881e_1007 conda-forge
scikit-learn 1.0.2 py37hf9e9bfc_0 conda-forge
scipy 1.7.3 py37hf2a6cf1_0 conda-forge
seaborn 0.12.1 hd8ed1ab_0 conda-forge
seaborn-base 0.12.1 pyhd8ed1ab_0 conda-forge
secretstorage 3.3.3 pypi_0 pypi
send2trash 1.8.0 pyhd8ed1ab_0 conda-forge
setuptools 59.8.0 py37h89c1867_1 conda-forge
simpervisor 0.4 pyhd8ed1ab_0 conda-forge
sip 6.7.2 py37hd23a5d3_0 conda-forge
six 1.16.0 pyh6c4a22f_0 conda-forge
smmap 3.0.5 pyh44b312d_0 conda-forge
sniffio 1.3.0 pyhd8ed1ab_0 conda-forge
soupsieve 2.3.2.post1 pyhd8ed1ab_0 conda-forge
sqlalchemy 1.4.42 py37h540881e_0 conda-forge
sqlite 3.39.4 h4ff8645_0 conda-forge
sqlparse 0.4.3 pyhd8ed1ab_0 conda-forge
statsmodels 0.13.2 py37hda87dfa_0 conda-forge
tangled-up-in-unicode 0.2.0 pyhd8ed1ab_0 conda-forge
tenacity 8.1.0 pyhd8ed1ab_0 conda-forge
terminado 0.17.0 pyh41d4057_0 conda-forge
textwrap3 0.9.2 py_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
toml 0.10.2 pyhd8ed1ab_0 conda-forge
tomli 2.0.1 pyhd8ed1ab_0 conda-forge
toolz 0.12.0 pyhd8ed1ab_0 conda-forge
tornado 6.2 py37h540881e_0 conda-forge
tqdm 4.64.1 pyhd8ed1ab_0 conda-forge
traitlets 5.5.0 pyhd8ed1ab_0 conda-forge
typed-ast 1.5.4 py37h540881e_0 conda-forge
typing-extensions 4.4.0 hd8ed1ab_0 conda-forge
typing_extensions 4.4.0 pyha770c72_0 conda-forge
tzdata 2022.6 pypi_0 pypi
tzlocal 4.2 pypi_0 pypi
unicodedata2 14.0.0 py37h540881e_1 conda-forge
uritemplate 3.0.1 pypi_0 pypi
urllib3 1.26.11 pyhd8ed1ab_0 conda-forge
visions 0.7.5 pyhd8ed1ab_0 conda-forge
wcwidth 0.2.5 pyh9f0ad1d_2 conda-forge
webencodings 0.5.1 py_1 conda-forge
websocket-client 1.4.2 pyhd8ed1ab_0 conda-forge
wheel 0.38.4 pyhd8ed1ab_0 conda-forge
widgetsnbextension 4.0.3 pyhd8ed1ab_0 conda-forge
xcb-util 0.4.0 h166bdaf_0 conda-forge
xcb-util-image 0.4.0 h166bdaf_0 conda-forge
xcb-util-keysyms 0.4.0 h166bdaf_0 conda-forge
xcb-util-renderutil 0.3.9 h166bdaf_0 conda-forge
xcb-util-wm 0.4.1 h166bdaf_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
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 3.10.0 pyhd8ed1ab_0 conda-forge
zlib 1.2.13 h166bdaf_4 conda-forge
zstd 1.5.2 h6239696_4 conda-forge
Configuration
jupyter_notebook_config.py
"""Vertex Workbench. Jupyter Service configuration file."""
import logging
import os
import sys
from jupyter_client import kernelspec
import requests
from requests.adapters import HTTPAdapter
# pylint: disable=anomalous-backslash-in-string, line-too-long, undefined-variable
c.NotebookApp.open_browser = False
c.ServerApp.token = ""
c.ServerApp.password = ""
c.ServerApp.port = 8080
c.ServerApp.allow_origin_pat = "(^https://8080-dot-[0-9]+-dot-devshell\.appspot\.com$)|(^https://colab\.sandbox\.google\.com$)|(^https://colab\.research\.google\.com$)|((https?://)?[0-9a-z]+-dot-datalab-vm[\-0-9a-z]*\.googleusercontent\.com)|((https?://)?[0-9a-z]+-dot-[\-0-9a-z]*\.notebooks\.googleusercontent\.com)|((https?://)?[0-9a-z\-]+\.[0-9a-z\-]+\.cloudshell\.dev)|((https?://)ssh\.cloud\.google\.com/devshell)"
c.ServerApp.allow_remote_access = True
c.ServerApp.root_dir = "/home/jupyter"
# pylint: enable=anomalous-backslash-in-string, line-too-long, undefined-variable
BASE_PATH = "/opt/deeplearning/metadata/"
MAX_RETRIES = 2
METADATA_URL = "http://metadata/computeMetadata/v1"
METADATA_FLAVOR = {"Metadata-Flavor": "Google"}
def _get_session(prefix="http://", max_retries=MAX_RETRIES):
"""Return an HTTP Session.
Args:
prefix(str): Prefix for URL
max_retries(int): Maximum number of retries each connection should attempt.
Returns:
A requests.Session()
"""
session = requests.Session()
session.mount(prefix, HTTPAdapter(max_retries=max_retries))
return session
def get_jupyter_user():
"""Get default Jupyter user."""
jupyter_user = "jupyter"
if get_attribute_value("jupyter-user"):
jupyter_user = get_attribute_value("jupyter-user")
return jupyter_user
def get_attribute_value(attribute):
"""Get Metadata value.
Args:
attribute(str): Attribute key to look in Compute Metadata.
Returns:
Attribute value or None
"""
if attribute is None:
raise ValueError("Invalid attribute. Attribute is None")
try:
session = _get_session(max_retries=5)
response = session.get(
f"{METADATA_URL}/instance/attributes/{attribute}",
headers=METADATA_FLAVOR,
)
response.raise_for_status()
print(f"Metadata {attribute}:{response.text}")
return response.text
except requests.exceptions.HTTPError as err:
if err.response.status_code == 404:
print(err)
return None
def handle_attribute_value(attribute_value):
"""If attribute value exists, check if its true or false."""
if not attribute_value:
return False
if attribute_value.lower() == "true":
return True
return False
def _disable_downloads():
"""Disable file downloads from JupyterLab.
Handlers are created at startup time.
"""
jupyter_user = get_jupyter_user()
jupyter_home = f"/home/{jupyter_user}"
sys.path.append(f"{jupyter_home}/.jupyter/")
# pylint: disable=unused-import,import-outside-toplevel,undefined-variable
import handlers
c.ContentsManager.files_handler_class = "handlers.ForbidFilesHandler"
c.ContentsManager.files_handler_params = {}
# Prevent export/printing of calculated values that likely have PII
c.TemplateExporter.exclude_input_prompt = True
c.TemplateExporter.exclude_output = True
# pylint: enable=unused-import,import-outside-toplevel,undefined-variable
def read_from_file(path):
"""Read metadata file.
Args:
path(str): Location of file with metadata information.
Returns:
A string.
"""
with open(path, "r", encoding="utf-8") as file:
return file.read().replace("\n", "")
def get_env_name():
return read_from_file(os.path.join(BASE_PATH, "env_version"))
def get_env_uri():
return read_from_file(os.path.join(BASE_PATH, "env_uri"))
local_kernelspec_cache = {}
def metadata_env_pre_save(model, **kwargs): # pylint: disable=unused-argument
"""Save metadata from Jupyter Environment.
Args:
model(dict): Notebooks information
**kwargs: Keyword Arguments.
"""
try:
# only run on notebooks
if model["type"] != "notebook":
return
# only run on nbformat v4 or later
if model["content"]["nbformat"] < 4:
return
model_metadata = model["content"]["metadata"]
if "kernelspec" in model_metadata:
kernel = model_metadata["kernelspec"]["name"]
# remote kernels have no compatible container at the moment
if kernel.startswith("remote-"):
del model_metadata["kernelspec"]
model_metadata["environment"] = {
"type": "gcloud",
"name": get_env_name(),
}
return
# local kernels will have the local prefix in managed notebooks
if kernel.startswith("local-"):
kernel = kernel.split("-", 1)[1]
if kernel not in local_kernelspec_cache:
for k in kernelspec.find_kernel_specs():
local_kernelspec_cache[k] = kernelspec.get_kernel_spec(k)
kernel_metadata = local_kernelspec_cache[kernel].metadata
model_metadata["environment"] = {
"type": "gcloud",
"name": get_env_name(),
"uri": kernel_metadata["google.kernel_container"],
# local name may not match kernel name on container
"kernel": kernel_metadata["google.kernel_name"],
}
return
# non-managed notebooks should have correct kernelspec listed
model_metadata["environment"] = {
"type": "gcloud",
"name": get_env_name(),
"uri": get_env_uri(),
"kernel": kernel,
}
# pylint: disable=broad-except
except (FileNotFoundError, KeyError, OSError, Exception) as e:
logging.error("Failed to enrich the Notebook with metadata: %s", e)
# pylint: disable=undefined-variable
c.FileContentsManager.pre_save_hook = metadata_env_pre_save
# Enable debugging
enable_debug = get_attribute_value("notebook-enable-debug")
if handle_attribute_value(enable_debug):
c.Application.log_level = 0
# Allow cross-site requests
is_managed_notebook = get_attribute_value("runtime-resource-name")
disable_check_xsrf = get_attribute_value("disable-check-xsrf")
if handle_attribute_value(disable_check_xsrf) or is_managed_notebook:
c.ServerApp.disable_check_xsrf = True
# https://jupyterlab.readthedocs.io/en/stable/user/rtc.html
use_collaborative = get_attribute_value("use-collaborative")
if handle_attribute_value(use_collaborative):
print("Using JupyterLab Collaborative flag")
c.LabApp.collaborative = True
disable_downloads = get_attribute_value("notebook-disable-downloads")
if handle_attribute_value(disable_downloads):
_disable_downloads()
disable_terminal = get_attribute_value("notebook-disable-terminal")
if handle_attribute_value(disable_terminal):
c.NotebookApp.terminals_enabled = False
c.FileContentsManager.delete_to_trash = False
delete_to_trash = get_attribute_value("notebook-enable-delete-to-trash")
if handle_attribute_value(delete_to_trash):
c.FileContentsManager.delete_to_trash = True
# Additional scripts append Jupyter configuration. Please keep this line.