model-config-tests 0.0.7

Test for ACCESS model (payu) configurations

Model Configuration Pytests and CI

This repository houses pytests that are used as part CI checks for model configurations, as well as reusable components of model configuration CI.

The checksum pytests are used for reproducibility CI checks in this repository. The quick configuration tests are used in any repository that calls config-pr-1-ci.yml or is templated by `ACCESS-NRI/model-configs-template. For example, ACCESS-NRI/access-om2-configs.

Code from these pytests is adapted from COSIMAS's ACCESS-OM2's bit reproducibility tests.

Pytests

How to run pytests manually on NCI

1. Create and activate a python virtual environment for installing and running tests

   module load python3/3.11.0
   python3 -m venv <path/to/test-venv>
   source <path/to/test-venv>/bin/activate
   

2. Either pip install a released version of model-config-tests,

   pip install model-config-tests==0.0.1
   

   Or to install model-config-tests in "editable" mode, first clone the repository, and then run pip install from the repository. This means any changes to the code are reflected in the installed package.

   git clone https://github.com/ACCESS-NRI/model-config-tests/ <path/to/model-config-tests>
   pip install -e <path/to/model-config-tests>
   

3. Checkout an experiment (in this case it is using an ACCESS-OM2 config)

   git clone https://github.com/ACCESS-NRI/access-om2-configs/ <path/to/experiment>
   cd <path/to/experiment>
   git checkout <branch/tag>
   

4. Run the pytests

   model-config-tests
   

5. Once done with testing, deactivate the virtual environment, and if the environment is no longer needed, remove the environment

   deactivate
   rm -rf <path/to/test-venv> # Deletes the test environment
   

Pytest Options

The output directory for pytests defaults to $TMPDIR/test-model-repro and contains the following subdirectories:

• control - contains copies of the model configuration used for each experiment run in the tests.
• lab - contains payu model output directories containing work and archive sub-directories.

This output directory also contains files generated by pytests, including the checksum directory which is used as part of reproducibility CI workflows.

To specify a different folder for pytest outputs, use --output-path command flag, for example:

model-config-tests --output-path /some/other/path/for/output

By default, the control directory, e.g. the model configuration to test, is the current working directory. This can be set similarly to above by using the --control-path command flag.

The path containing the checksum file to check against can also be set using --checksum-path command flag. The default is the testing/checksum/historical-<default-model-runtime>hr-checksums.json file which is stored in the control directory.

To run only CI reproducibility checksum tests, use -m checksum, e.g.

model-config-tests -m checksum

To run quick configuration tests, use the config marker. To additionally run ACCESS-OM2 specific quick configuration tests, use access_om2 marker, e.g.:

model-config-tests -m "config or access_om2"

CI/CD

The .github directory contains many different workflows and actions. This section describes how they are used.

CI/CD For This Repository

CI.yml and CD.yml are used to test, package and upload the model-config-tests package that is used by model-configs-style repositories across the ACCESS-NRI. These are the only workflows that run on this repository. The others are reusable workflows called by model-configs-style repositories, among others.

Reusable CI

The config-*.yml, generate-checksums.yml and test-repro.yml workflows are called by model-configs-style repositories to test model configurations. They are stored in this repository to allow a central place to update generic CI used by all model configuration repositories.

Below is information on the use of these workflows.

config-pr-*.yml Pipeline

The config-pr-* Pipeline is a series of workflows that govern the testing, ChatOps and merging procedures of pull requests for model configuration repositories, such as ACCESS-NRI/access-om2-configs.

Essentially, these files work on two types of configuration branch pull requests in the model configuration repository. More information on the terminology used in model configuration repositories can be found in the README.md of the ACCESS-NRI/model-configs-template repository. The types of pull requests are:

• Pull requests into dev-*: Allows quick checks of configuration metadata and common mistakes in configurations during PRs into the dev-* configuration branches.
• Pull requests from dev-* into release-*: Allows both quick checks, as well as a longer, more comprehensive check on the reproducibility of the changes being brought into the release-* configuration branch, compared to the previous release-* commit. It also acts on 'comment commands' run during the pull request, like !bump for updating the version of the configuration (see the 'Config Tags' section in the ACCESS-NRI/model-configs-template repository for more). It is also responsible for the creation of the final config tag and release, once merged.

config-schedule-*.yml Pipeline

The config-schedule-* Pipeline is a series of workflows used to check the reproducibility of certain config tags against themselves, every month. This is used as a kind of canary to make sure that we continue to get the same results on the same deployment targets.

generate-checksums Reusable Workflow

This workflow is used to easily generate the checksums used in the reproducibility checks, for a specific branch of a model configuration repository, if they don't already exist. This is most often used for the initial commit of a checksum to the release-* configuration branch.

test-repro Reusable Workflow

This workflow is used to test the reproducibility of a given model repository against historical checksums, and can be used as a standalone workflow.

Using it has some requirements outside of just filling in the inputs: One must have a valid GitHub Environment (specified by the environment-name input) in the calling repository, that has the following secrets and vars defined:

• secrets.SSH_HOST - hostname for the deployment target
• secrets.SSH_HOST_DATA - hostname for the data mover on the deployment target (if it exists)
• secrets.SSH_KEY - private key for access to the deployment target
• secrets.SSH_USER - username for access to the deployment target
• vars.EXPERIMENTS_LOCATION - directory on the deployment target that will contain all the experiments used during testing of reproducibility across multiple runs of this workflow (ex. /scratch/some/directory/experiments)