Merge pull request #4 from guimou/streamlit

Addition of Streamlit notebook

.gitignore

@@ -0,0 +1,16 @@
+.DS_Store
+*.bundle.*
+lib/
+node_modules/
+*.egg-info/
+.ipynb_checkpoints
+*.tsbuildinfo
+*.lock
+__pycache__
+
+# Ensure embedme does not run ont node_modules README.md files.
+**/node_modules/**/README.md
+
+static
+labextension
+**/test-results/

CHANGELOG.md

@@ -7,7 +7,13 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ## [Unreleased]
 
-- Fix Python Kernel name
+Nothing there!
+
+## [0.0.9] - 2022-06-08
+
+### Added
+
+- Streamlit notebook
 
 ## [0.0.8] - 2022-03-28
 

README.md

@@ -5,5 +5,19 @@ Various custom Jupyter Notebook Images to use with [Open Data Hub](http://openda
 * OptaPy: Minimal JupyterLab notebook including [OptaPy](https://www.optapy.org/optapy/latest/optapy-introduction/optapy-introduction.html), the Python version of OptaPlanner.
 * R: Minimal JupyterLab notebook including [R](https://www.r-project.org/) (4.0.5) and [RStudio](https://www.rstudio.com/products/rstudio/) (2022.02.0).
 * SageMath: Minimal JupyterLab notebook including [SageMath](https://www.sagemath.org/) 9.3
+* Streamlit: Standard Data Science notebook image including [Streamlit](https://streamlit.io/) 1.9.2
+
+## Deployment
+
+In each custom notebook folder you will find a `deploy` folder with an ImageStream YAML file. Simply apply this file in your Open Data Hub namespace (e.g. `oc apply -n opendatahub -f s2i-minimal-data-science-streamlit-notebook_image-stream.yaml`) and the new notebook image will appear in your JupyterHub menu.
+
+## Pre-built images
+
+Pre-built versions of the images are available:
+
+* OptaPy: https://quay.io/guimou/s2i-minimal-data-science-optapy-notebook
+* R: https://quay.io/guimou/odh-minimal-data-science-r-notebook
+* SageMath: https://quay.io/guimou/s2i-minimal-data-science-sagemath-notebook
+* Streamlit: https://quay.io/guimou/s2i-generic-data-science-streamlit-notebook
 
 *[Changelog](CHANGELOG.md)*

streamlit-notebook/README.md

@@ -0,0 +1,23 @@
+# Streamlit Notebook
+
+Custom notebook based on RHODS standard data science notebook, adding:
+
+* [Streamlit](https://streamlit.io/) ([Github repo](https://github.com/streamlit/streamlit))
+
+Streamlit turns data scripts into shareable web apps in minutes.
+All in pure Python. No front‑end experience required.
+
+![Streamlit Menu](streamlit-extension.gif)
+
+## Usage
+
+On top of the Streamlit package itself, this image includes jupyter-server-proxy and a custom JupyterLab extension to easily launch your files.
+
+You can either:
+
+* From the main menu bar, click on the Streamlit menu item, then Select file. In the dialog box select the file to launch with Streamlit.
+* From the file browser on the left, right-click on the file you want to launch. The Streamlit option in the contextual menu only shows if you selected a Python file.
+
+A new Terminal will open in your JupyterLab, launch Streamlit and give you information on where the app is accessible. And a new tab will open automatically in your browser to display the app!
+
+To shut down the Streamlit app you simply have to close the Terminal window, it will also shut down the associated Kernel.

streamlit-notebook/container/Dockerfile

@@ -0,0 +1,40 @@
+FROM quay.io/thoth-station/s2i-minimal-f34-py39-notebook:v0.3.0
+
+LABEL name="s2i-generic-data-science-streamlit-notebook:latest" \
+      summary="Generic Data Science Jupyter Notebook Source-to-Image for Python 3.9 applications." \
+      description="Notebook image based on Source-to-Image.These images can be used in OpenDatahub JupterHub." \
+      io.k8s.description="Notebook image based on Source-to-Image.These images can be used in OpenDatahub JupterHub." \
+      io.k8s.display-name="Generic Data Science with Streamlit Notebook Python 3.9-ubi8 S2I" \
+      io.openshift.expose-services="8888:http" \
+      io.openshift.tags="python,python39" \
+      authoritative-source-url="https://quay.io/guimou/s2i-generic-data-science-streamlit-notebook" \
+      io.openshift.s2i.build.commit.ref="main" \
+      io.openshift.s2i.build.source-location="https://github.com/guimou/custom-notebooks" \
+      io.openshift.s2i.build.image="quay.io/thoth-station/s2i-minimal-f34-py39-notebook:v0.2.2"
+
+USER root
+
+WORKDIR /tmp/
+
+# Copying custom packages
+COPY Pipfile Pipfile.lock /tmp/
+RUN micropipenv install --deploy && \
+    rm -rf /opt/app-root/lib/python3.9/site-packages/~*
+
+# Streamlit extenstion installation
+COPY streamlit-launcher.sh /opt/app-root/bin/
+COPY streamlit-menu/dist/jupyterlab_streamlit_menu-0.1.0-py3-none-any.whl /tmp/
+
+# Install packages and cleanup upgrades
+RUN pip install --no-cache-dir /tmp/jupyterlab_streamlit_menu-0.1.0-py3-none-any.whl
+
+RUN jupyter lab build && \
+    jupyter lab clean && \
+    npm cache clean --force && \
+    rm -rf /usr/local/share/.cache/yarn && \
+    fix-permissions /opt/app-root
+
+WORKDIR /opt/app-root/src
+USER 1001
+
+CMD /opt/app-root/bin/start-singleuser.sh --ip=0.0.0.0 --port=8080

streamlit-notebook/container/Pipfile

@@ -0,0 +1,51 @@
+[[source]]
+url = "https://pypi.org/simple"
+verify_ssl = true
+name = "pypi"
+
+[packages]
+beautifulsoup4 = "==4.6.3"
+bokeh = "~=2.4.3"
+boto3 = "==1.24.2"
+cloudpickle = "~=2.1.0"
+cython = "==0.29.30"
+dask = "2022.5.2"
+dill = "~=0.3.5.1"
+distributed = "2022.5.2"
+elyra-python-editor-extension = "==3.9.0"
+h5py = "~=3.7.0"
+ipywidgets = "~=7.7.0"
+jupyter_kernel_gateway = "~=2.5.0"
+jupyter-bokeh = "~=3.0.4"
+jupyter-nbrequirements = "*"
+jupyter-server-proxy = "~=3.2.1"
+jupyterhub = "~=1.5.0"
+jupyterlab = "~=3.4.2"
+jupyterlab-git = "~=0.37.0"
+jupyterlab-requirements = "~=0.16.0"
+jupyterlab-spellchecker = "~=0.7.2"
+jupyterlab-tabnine = "==0.0.24"
+kafka-python = "~=2.0.2"
+matplotlib = "~=3.5.2"
+notebook = "~=6.4.0"
+numpy = "~=1.22.4"
+pandas = "~=1.4.2"
+plotly = "~=5.8.0"
+pre-commit = "~=2.19.0"
+pyarrow = "~=8.0.0"
+scikit-image = "~=0.19.2"
+scikit-learn = "~=1.1.1"
+scipy = "~=1.8.1"
+seaborn = "~=0.11.2"
+sqlalchemy = "~=1.4.37"
+statsmodels = "~=0.13.2"
+streamlit = "~=1.9.2"
+supervisor = "~=4.2.0"
+
+[dev-packages]
+
+[requires]
+python_version = "3.9"
+
+[pipenv]
+allow_prereleases = true