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To run tests you will need to install additional packages from requirements/tests.txt.

Command to run all tests from this directory: python -m pytest tests/.

There are multiple levels of tests that we use:

  • full end-to-end tests that will try to run tests on some configs inside the dataset_configs/ folder using small subsets of datasets. These tests require TEST_DATA_ROOT to be defined, either as an environment variable, or by accessing the AWS S3 bucket (which is used during Github CI tests). If TEST_DATA_ROOT is not defined, these end-to-end tests are skipped. These tests are run by the tests/test_cfg_end_to_end_tests.py file. These tests also require the processor that creates the initial manifest to have a raw_data_dir parameter.
  • unit tests and doc tests for various SDP components.

For SDP maintainers - how to set up end-to-end tests for a dataset.

Once you are happy with the config & code for a dataset, you can also set up an end-to-end test for it to make sure that future changes to SDP will not affect the workings of your config & code.

The steps for this are as follows:

  1. Create a script like tests/prepare_test_data/prepare_mls_data.py which you will use to make a mini version of the initial dataset that is read by the first SDP processor for your dataset. Run this script.

  2. Run the SDP dataset creation process for your dataset but with flags like data_split=True, final_manifest=test_data_reference.json, processor.0.raw_data_dir=<path to the archived mini initial dataset created in step 1>, workspace_dir=<some empty directory which you may delete after this step>.

  3. Save the mini initial dataset produced in step 1, and the final manifest produced in step 2 in the location of <TEST_DATA_ROOT>/<language>/<dataset>.

    a. If you save the files locally, the end-to-end test will work locally.

    b. If you save the files in the SDP tests AWS S3 bucket (you can only do this if you have access), the tests will be able to work when the Github CI is run.

  4. Update the function get_test_cases() inside tests/test_cfg_end_to_end_tests.py so it will run your test.