A collection of docker jupyter notebook images used at UCPH.
Deployed notebooks are published at DockerHub.
Before any of the images can be built, the Dockerfiles for each Notebook has to be generated first. The reason for this is that by default each notebook defined by a Jinja2 template.
This entire process can also be simplified by simply executing make in the root directory, which will create an initial Python virtual environment and use the current architecture.yml file setup to generate the Dockerfiles and the associated GOCD configuration:
make
Alternatively, you can also setup the environment manually with the following steps.
To start with, you should ensure that the nessesary libraries are installed to generate the Notebooks, we recommend that you create a virtual environment and install the associated requiremnets:
username@hostname:~/jupyter/nbi-jupyter-docker-stacks$ python3 -m virtualenv venv username@hostname:~/jupyter/nbi-jupyter-docker-stacks$ source venv/bin/activate (venv) username@hostname:~/jupyter/nbi-jupyter-docker-stacks$ pip install -r requirements.txt
Afterwards, you should now be able to use the init-notebooks.py script to generate template and render the Jinja2 template files:
(venv) username@hostname:~/jupyter/nbi-jupyter-docker-stacks$ python3 init-notebooks.py Generated the file: hpc-ocean-notebook/Dockerfile.latest Generated the file: hpc-ocean-notebook/Dockerfile.20.02.7 Generated the file: hpc-ocean-notebook/Dockerfile.21.08.0 Generated the file: ocean-notebook/Dockerfile.latest Generated the file: geo-notebook/Dockerfile.latest Generated the file: bio-notebook/Dockerfile.latest Generated the file: bio-bigdata-notebook/Dockerfile.latest Generated the file: bio-bsa-notebook/Dockerfile.latest Generated the file: sme-notebook/Dockerfile.latest Generated the file: jwst-notebook/Dockerfile.latest Generated a new GOCD config in: ...jupyter/nbi-jupyter-docker-stacks/1.gocd.yml Generated a new Makefile in: .../jupyter/nbi-jupyter-docker-stacks/Makefile
In addition to generating the Dockerfiles, the init-notebooks.py script also generates
a GOCD configuration and an up-to-date Makefile configuration.
The GOCD 1.gocd.yml configuration file is used to automatically build and test the defined notebook
pipelines as part of the UCPH CI/CD infrastructure.
The Notebooks and the associated GOCD configuration file are generated based on the definitions specified in the architecture.yml file.
After the repository has been configured with the init-notebooks.py script as specified in the Getting Started section, every notebook is ready to be built.
To build a particular notebook pass the directory name that contains the Dockerfile to make:
make build/base-notebook TAG=latest
This will start the build procedure, the output will be a container image that is tagged with the word "latest".
To change this, override the TAG variable when calling a make target, e.g.:
make build/base-notebook TAG=edge
However, the Makefile expects that a Dockerfile is available that has the specified TAG as a postfix. For instance, when using TAG=edge for the base-notebook, the Makefile requires that there is a base-notebook/Dockerfile.edge file.
The Makefile also provides targets for test and push options. For example, first test the edge tagged image, then build an official latest tagged image and push it to the preset OWNER variable's dockerhub repository:
make test/base-notebook TAG=latest make build/base-notebook TAG=latest make push/base-notebook TAG=latest
To evaluate the entire stack, a target to 'build-all'/'test-all' is also available i.e.:
make build-all make test-all
To contribute either a change to an existing Notebook or introduce a new Notebook is fairly "easy".
A change can be introduced to one of the current Notebooks, by altering the selected Notebook setup in its associated directory.
For instance, if a change is to be introduced to the datascience-notebook, the change must be applied either to the datascience-notebook/Dockerfile.j2 Jinja template file, its associated Conda environment file datascience-notebook/environment.yml, or the Python datascience-notebook/requirements.txt file.
Therefore, to introduce a new Python package to the datascience-notebook, the package should be added to the datascience-notebook/requirements.txt file. Hereafter, the change can be tested by following the steps outlined in the Getting Started, Building, and Testing sections above.
In addition, if the change involves introducing a new feature, such as a new Python package, it is prudent that the introduction also ensures that the new package is tested as part of the Notebook image. To accomplish this, a Jupyter Notebook test file should be added, that validates that the added package functions as expected in the Notebooks associated tests directory. For example, if the numpy package was introduced into the datascience-notebook, a test Notebook such as the datascience-notebook/tests/numpy.ipynb should be included.
To introduce a new Notebook, we recommend that the following approach is adopted to ensure a succesfull introduction.
Firstly, the architecture.yml file should be updated to include the new Notebook.
The Notebook should be defined as follows in the architecture file:
architecture:
<notebook-name>:
<notebook-image-tag>
parent:
owner: <parent-image-owner>
image: <parent-image-name>
tag: <parent-image-tag>
pipeline_dependent: <boolean>
parameters:
<dockerfile-template-variable-name>: <dockerfile-template-variable-value>
Secondly, a directory with the name of the new Notebook should be created in the root directory.
Thirdly, create a Jinja Dockerfile template inside the new directory that defines the default build for the new Notebook. Inspiration here can be gathered from one of the existing Notebooks. Importantly though, is that the template uses the following beginning and end:
FROM {{ parent }}
...
# Ensure that container Runs as
USER $NB_UID
Where the parent declaration must be defined in the architecture.yml file, and is extracted by the init-notebooks.py script when the subsequent Dockerfiles are generated.
Finally, the new Notebook directory should included a tests directory that must contain a test_notebook.py, test.sh, and a requirements.txt file.
Examples of these files can be found in the root res/tests directory.
Any security related questions/issues/inquries should be directed at [email protected]