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Local Continuous Integration

It helps when developing to be able to run integration tests locally. Since bookstore relies on accessing S3, this requires that we create a local server that can model how S3 works.

We will be using minio to mock S3 behavior.

Setup Local CI environment

To run the ci tests locally, you will need to have a few things set up:

  • a functioning docker service
  • define /mnt/data/ and /mnt/config/ and give full permissions (e.g., chmod 777 /mnt/data). = add /mnt/data and /mnt/config to be accessible from docker. You can do so by modifying Docker's preferences by going to Docker → Preferences → File Sharing and adding /mnt/data and /mnt/config to the list there.
  • an up-to-date version of node.

Run Local tests

  1. Open two terminals with the current working directory as the root bookstore directory.

  2. In one terminal run yarn test:server. This will start up minio.

  3. In the other terminal run yarn test. This will run the integration tests.

Interactive python tests

The CI scripts are designed to be self-contained and run in an automated setup. This makes it makes it harder to iterate rapidly when you don't want to test the entire system but when you do need to integrate with a Jupyter server.

In addition the CI scripts, we have included ./ci/clone_request.py for testing the clone endpoint. This is particularly useful for the /api/bookstore/cloned endpoint because while it is an API to be used by other applications, it also acts as a user facing endpoint since it provides a landing page for confirming whether or not a clone is to be approved.

It's often difficult to judge whether what is being served makes sense from a UI perspective without being able to investigate it directly. At the same time we'll need to access it as an API to ensure that the responses are well-behaved from an API standpoint. By using python to query a live server and a browser to visit the landing page, we can rapidly iterate between the API and UI contexts from the same live server's endpoint.

We provide examples of jupyter notebook commands needed in that file as well for both accessing the nteract-notebooks S3 bucket as well as the Minio provided bookstore bucket (as used by the CI scripts).