Assignment

Welcome to the HP Norton Project! The first thing our development team is trying to accomplish is to improve some of Norton Furniture’s existing code. Your first assignment will be to look at a prototype inventory management system they had been working on internally, align the code to the best practices outlined in PEP8 and implement both unit and integration testing.

Here is what you need to do:

  1. Download the code for the inventory management system and place it in a folder called inventory_management.

  2. Evaluate the code using Pylint by running the following command from outside of the inventory_management folder. Use this command:

    python -m pylint ./inventory_management

  3. Fix all of the issues reported by Pylint up to the point where Pylint gives the code a grade of 10.

  4. Create a file called test_unit.py that will be outside of the inventory_management directory. You will need to add unit tests for all classes in the inventory management system to this file.

  5. Run coverage analysis on the inventory_management code using test_unit.py. Coverage must be 90% or higher for each individual file. Use the following commands.
    • Coverage run:
      python -m coverage run --source=inventory_management -m unittest test_unit.py
    • Coverage report:
      python -m coverage report

      Update test_unit.py as required to attain 90% coverage.

  6. Create a file called test_integration.py that runs Inventory Management tests as a whole.

Other requirements:

  • For Pylint, remember to use the standardized pylintrc file provided for the class.

  • Although already stated, both of your unit and integration tests files should be placed outside of the inventory_management folder.

  • Remember that the 90% coverage requirement applies to each individual file in the project, not overall coverage.

  • You cannot modify the market_prices module. That means you will need to use Mock or MagicMock to simulate values returned by it.

  • When coding unit testing for main.py, it has to be in isolation from the project’s classes, so will need to use Mock or MagicMock to simulate their return values.

Testing

Passing pylint, unit and integration tests and coverage analysis should be enough to give you confidence that your code will be accepted by the Project Manager.

Submission

You will need to submit the inventory_management folder will all your improvements, as well as the test_unit.py and test_integration.py files.