Testing ========== The following is a simple guide to testing RAPIDS. All files necessary for testing are stored in the ``tests`` directory: :: ├── tests │ ├── data <- Replication of the project root data directory for testing. │ │ ├── external <- Contains Data from third party sources used for testing. │ │ ├── interim <- The expected intermediate data that has been transformed. │ │ ├── processed <- The expected final, canonical data sets for modeling. │ │ └── raw <- The specially created raw input datasets that will be used for testing. │ │ │ ├── scripts <- Scripts for testing. Add test scripts in this directory. │ │ └── utils.py <- Contains any helper functions and methods. │ │ │ ├── settings <- The directory contains the config and settings files for testing snakemake. │ │ ├── config.yaml <- Defines the testing profile configurations for running snakemake. │ │ └── testing_config.yaml <- Contains the actual snakemake configuration settings for testing. │ │ │ └── Snakefile <- The Snakefile for testing only. It contains the rules that you would be testing. │ To begin testing RAPIDS place the input data ``csv`` files in ``tests/data/raw`` and ``data/raw``. The expected output files of RAPIDS after processing the input data should be placed in ``tests/data/processesd``. The Snakemake rule(s) that are to be tested must be placed in the ``tests/Snakemake`` file. The current ``tests/Snakemake`` is a good example of how to define them. After storing your test scripts in ``tests/scripts``, you can run all rules in the ``tests/Snakemake`` with: :: snakemake --profile tests/settings Or run a single rule with :: snakemake --profile tests/settings -R sms_features The above example runs the ``sms_features`` rule that is defined in the ``tests/Snakemake`` file. Replace this with the name of the rule you want to test. The ``--profile`` flag is used to run Snakemake with the ``Snakfile`` and ``testing_config.yaml`` file stored in ``tests/settings``. Once RAPIDS has processed the sample data, the next step is to test the output. Testing is implemented using Python's Unittest. To run all the tests scripts stored in the ``tests/scripts`` directory use the following command: :: python -m unittest discover tests/scripts/ -v The ``discover`` flag finds and runs all the test scripts within the ``tests/scripts`` directory that start with ``test_``. The name of all test methods in these scripts should also start with ``test_``. The following is a snippet of the output you should see after running your test. :: test_sensors_files_exist (test_sensor_features.TestSensorFeatures) ... ok test_sensors_features_calculations (test_sensor_features.TestSensorFeatures) ... FAIL ====================================================================== FAIL: test_sensors_features_calculations (test_sensor_features.TestSensorFeatures) ---------------------------------------------------------------------- The results above show that the first test ``test_sensors_files_exist`` passed while ``test_sensors_features_calculations`` failed. In addition you should get the traceback of the failure (not shown here). For more information on how to implement test scripts and use unittest please see `Unittest Documentation`_ .. _`Unittest Documentation`: https://docs.python.org/3.7/library/unittest.html#command-line-interface