pytest-pipeline 0.3.0

pytest-pipeline

pytest-pipeline is a pytest plugin for functional testing of data analysis pipelines. They are usually long-running scripts or executables with multiple input and/or output files + directories. The plugin is meant for end-to-end testing where you test for conditions before the pipeline run and after the pipeline runs (output files, checksums, etc.).

pytest-pipeline is tested against Python versions 2.7, 3.3, 3.4, 3.5, and 3.6.

Installation

pip install pytest-pipeline

Walkthrough

For our example, we will use a super simple pipeline that writes a file and prints to stdout:

#!/usr/bin/env python

from __future__ import print_function

if __name__ == "__main__":

    with open("result.txt", "w") as result:
        result.write("42\n")
    print("Result computed")

At this point it’s just a simple script, but it should be enough to illustrate the plugin. Also, if you want to follow along, save the above file as run_pipeline.

With the pipeline above, here’s how your test would look like with pytest_pipeline:

import os
import shutil
import unittest
from pytest_pipeline import PipelineRun, mark, utils

# we can subclass `PipelineRun` to add custom methods
# using `PipelineRun` as-is is also possible
class MyRun(PipelineRun):

    # before_run-marked functions will be run before the pipeline is executed
    @mark.before_run
    def test_prep_executable(self):
        # copy the executable to the run directory
        shutil.copy2("/path/to/run_pipeline", "run_pipeline")
        # ensure that the file is executable
        assert os.access("run_pipeline", os.X_OK)

# a pipeline run is treated as a test fixture
run = MyRun.class_fixture(cmd="./run_pipeline", stdout="run.stdout")

# the fixture is bound to a unittest.TestCase using the usefixtures mark
@pytest.mark.usefixtures("run")
# tests per-pipeline run are grouped in one unittest.TestCase instance
class TestMyPipeline(unittest.TestCase):

    def test_result_md5(self):
        assert utils.file_md5sum("result.txt") == "50a2fabfdd276f573ff97ace8b11c5f4"

    def test_exit_code(self):
        # the run fixture is stored as the `run_fixture` attribute
        assert self.run_fixture.exit_code == 0

    # we can check the stdout that we capture as well
    def test_stdout(self):
        assert open("run.stdout", "r").read().strip() == "Result computed"

If the test above is saved as test_demo.py, you can then run the test by executing py.test -v test_demo.py. You should see that three tests were executed and all four passed.

Getting + giving help

Please use the issue tracker to report bugs or feature requests. You can always fork and submit a pull request as well.

License

See LICENSE.

Changelog