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Testrunner for TA3

simulation-integration generates an integration report by standing up all of the relevant TA3 services with a Docker Compose and trying to use a few requests through the relevant parts of the stack.

Usage

Step by Step Guide

  1. Create a GitHub Personal Access Token (classic) that grants scope access to
    • .workflow,
    • read:packages,
    • write:packages
    • and delete:packages.
  2. Execute echo [YOUR_GITHUB_TOKEN] | docker login ghcr.io -u [YOUR_GITHUB_USERNAME] --password-stdin in the simulation-integration directory
  3. Update your containers by running docker compose pull
  4. Create .env by running cp env.sample .env
  5. Build your containers by docker compose build
  6. Run the tests with docker compose run tests.
  7. View the results with docker compose run --build --service-ports dashboard (Assuming you haven't deleted any volumes)
  8. To clean up the test runner after use, run docker compose down

Usage Details

Once the tests container completes, the report is done.

If run with UPLOAD=TRUE as an environment variable, the report will be uploaded to S3. Otherwise, the report is output as part of the tests container's logs.

The logs can be viewed by running docker compose logs -f tests.

Note: The services used in testing are not cleaned up following testing. When done with running tests, be sure to shut down the services by running docker compose down to conserve your resources.

See env.sample to see which environment variables are used by the test/report runner. You can create a .env envfile based on sample if you want to override the defaults.

If the report needs to be published, the envfile should have some additional vars and look like this:

UPLOAD=FALSE
BUCKET=results-bucket
AWS_ACCESS_KEY_ID=xyz
AWS_SECRET_ACCESS_KEY=xyz
PROJECT_ID=1
TDS_URL=http://data-service.terarium.ai
SIMSERVICE_TDS_URL=http://data-service.terarium.ai

Adding Scenarios

To add scenarios, create a new directory in scenarios. For each request you would like to try out, create a file scenarios/{scenario_name}/{backend-service}/{endpoint-name}.json. For example, a PyCIEMSS simulate scenario can be added by putting the payload in scenarios/{scenario_name}/pyciemss/simulate.json.

These requests will need to reference assets in TDS which are prepopulated by tests/seed.py. To add more resources, go to data/datasets to add a CSV and data/model to add a configuration.