Test user-level end-to-end workflow.
This repo ensure the various Jupyter notebooks run without errors against the chosen PAVICS server and still produce the same output.
Resulting benefits:
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Those Jupyter notebooks that are the test suite also double as documentation for the features provided to the end users. More incentive to write more documentations and more tests since writing one and the other one comes for free!
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Those test suite are also useful during upgrade of some parts of the system since we are able to target different PAVICS servers with the same test suite.
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Jenkins (see Jenkinsfile) is configured to run the test suite regularly so we are able to detect regressions on servers or out-of-date output or code in the Jupyter notebooks. No more mismatched, outdated documentation!
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The runtime environment used by Jenkins is the exact same Jupyter environment deployed on PAVICS, ensuring we do not provide broken Jupyter environment to our users when then need to try out the tutorial notebooks.
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Indirectly this also serve as a monitoring tool for the servers. Standard monitoring tools normally just ensure the services are up and running. This will actually monitor that the most useful and frequently used user workflows are working end-to-end.
nbval pytest plugin used to validate Jupyter notebooks.
Fully pre-configured turnkey deployment of Jenkins for this test suite can be found at https://github.com/Ouranosinc/jenkins-config.
Click the Binder button above to launch a Jupyter Notebook server on Binder's cloud to test out all the notebooks in this test suite.
./launchcontainer # get inside the container providing the runtime environment
./runtest # run all notebooks under folder notebooks/
./runtest notebooks/hummingbird.ipynb # run just 1 notebook
# download more repos containing notebooks (ex: pavics-sdi)
./downloadrepos
# run all notebooks from pavics-sdi
./runtest 'pavics-sdi-master/docs/source/notebooks/*.ipynb'
# run against another PAVICS host than pavics.ouranos.ca
# this assume the PAVICS host hardcoded inside the notebooks is pavics.ouranos.ca
PAVICS_HOST=host.example.com ./runtest
# provide more cli options to py.test
PYTEST_EXTRA_OPTS="--nbval-lax" ./runtest
# disable SSL cert verification for notebooks that support this flag
# useful together with PAVICS_HOST to hit hosts using self-signed SSL cert
DISABLE_VERIFY_SSL=1 ./runtest
# save output of test run as a notebook, ending with .outout.ipynb
# each input notebook will have corresponding .output.ipynb file under
# buildout/ dir
# CAVEAT:
# * run time is double as a different run is needed
# * might not contain the exact same error as the original run since it's a
# different run
SAVE_RESULTING_NOTEBOOK=true ./runtest
Since the runtime environment is provided by the Docker container, it is not required to create a conda env to run the tests.
By using the exact same Docker container as the one that Jenkins will use, you will be guarantied that if a notebook runs locally, it will also run successfully on Jenkins.
Therefore we do not need to pin any versions in the conda
environment.yml file since the built docker image
provided us with pinned version for reproducibility.
To encourage more notebooks written/contribution, which means more documentations and more tests, it is easy to add new notebooks and the test runner can even run notebooks from several external repos (current also running the notebooks from the pavics-sdi repo, more can be added easily).
By default we regex replace pavics.ouranos.ca to the hostname of the server
under test to test all components of the server under test. However, we do not
perform this regex replace for .ncml links so .ncml links will come from
our production server pavics.ouranos.ca. The reason is that .ncml files
require a large amount of .nc matching files to be copied to the server under
test so we want to avoid this setup burden for the server under test. Regular
.nc files will still have to be copied over so the Thredds component is
tested.
Simply add another .ipynb file under folder notebooks/ and it'll be picked
up by the runner.
./launchnotebook [port]
then follow the output to open the browser to your local Jupyter instance.
Example output:
[I 23:59:44.366 NotebookApp] Writing notebook server cookie secret to /home/jenkins/.local/share/jupyter/runtime/notebook_cookie_secret
[I 23:59:44.591 NotebookApp] Serving notebooks from local directory: /
[I 23:59:44.591 NotebookApp] The Jupyter Notebook is running at:
[I 23:59:44.591 NotebookApp] http://(ebe30a480ccf or 127.0.0.1):8890/?token=22fc0be94eb948977fc235b588116c670beafde4374d8de8
[I 23:59:44.591 NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).
[C 23:59:44.595 NotebookApp]
To access the notebook, open this file in a browser:
file:///home/jenkins/.local/share/jupyter/runtime/nbserver-1-open.html
Or copy and paste one of these URLs:
http://(ebe30a480ccf or 127.0.0.1):8890/?token=22fc0be94eb948977fc235b588116c670beafde4374d8de8
So you would open
http://localhost:8890/?token=22fc0be94eb948977fc235b588116c670beafde4374d8de8
then navigate to
http://localhost:8890/tree/home/lvu/repos/PAVICS-e2e-workflow-tests/notebooks
if /home/lvu/repos/PAVICS-e2e-workflow-tests is where you have this repo
checked out on your local machine.
To stop the notebook:
docker stop birdy-notebook # the container created by launchnotebook
cd docker
docker build -t my_image_name .DOCKER_IMAGE="my_image_name" ./launchnotebook [port]
# to volume mount more local dir into the container for testing new notebooks
DOCKER_IMAGE="my_image_name" DOCKER_RUN_OPTS="-v /some/dir/locally:/some/dir/in/container ./launchnotebook [port]For usage, same instructions as 'Start Jupyter notebook to modify one of the notebooks' above.
Use the script releasedocker <old_ver> <new_ver>, example:
releasedocker 190311 190312.
This script will commit, tag and push a new release. You need write access to the repo when using this script.
Then Docker Hub will build automatically the new tag and eventually we have a
new image, example:
pavics/workflow-tests:190312.