Anita Applegarth Unit Conversion

Overview

OxRSE Unit Conversion is a simple unit conversion library designed primarily for teaching collaborative GitHub techniques. It is a python module that exposes a command line interface and commands for converting between different units.

Installation

You can install the script from PIP with

pip install oxrse_unit_conv

Usage

In a python script

import oxrse_unit_conv

n = 42
unit_in = 'km'
unit_out = 'mile'
print(f"{n}{unit_in} in {unit_out} = {oxrse_unit_conv.convert(n, unit_in, unit_out)}")

The same result can be obtained by interacting with unit objects directly. Units are converted to one another by asking one unit to convert to the other. The Unit.to_unit function takes a number and a target Unit.

from oxrse_unit_conv import km, mile

n = 42
print(f"{n}{km.abbr} in {mile} = {km.to_unit(n, mile)}")

CLI

The converter can also be run as a command-line tool. Once it's been installed, it can be run in your terminal as:

oxrse-unit-conv 42 km mile

Help is available using:

oxrse-unit-conv --help

Development

Structure

The module source code is in ./src/oxrse_unit_conv. To add a new Unit, you will need to edit the units.py file. That file has a section for each base SI unit, and you should place your unit in the section that corresponds to its base SI unit. Thus, if you were creating a new unit of luminosity called the sparkle, you would place it under the base unit for luminous intensity, the candela.

A Unit has the following properties:

• name the unit's full name. Should be singular (e.g. sparkle rather than sparkles)
• abbr the unit's abbreviation. Can be the same as the name, except that spaces aren't allowed.
• si the unit's SI unit. Should be the SI Unit object.
• to_si a lambdba function to convert a number of this unit into its SI unit.
• [from_si] a lambda function to convert a number of the SI unit into this unit. If this is not specified, it is lambda n: n / self.to_si(1), which reverses a simple multiplicative conversion (e.g. if 2sparkle = 10candela, then 10candela / 5candela/sparkle = 2sparkle).
• [exponent=1] the exponent of the unit. Units can only be converted where their SI units have the same exponent. The exponent of the unit can be different from its SI unit, e.g. an acre has exponent 1 but its SI unit is square meters (exponent = 2).

Once you have written a unit (or before, if you prefer test-driven-development), write unit tests for it.

Testing

Tests are kept in the __tests__ directory, and this should contain a different file for each unit with the name test_unit_UNITNAME.py. Our sparkle test file would be test_unit_sparkle.py. In this file we import unittest, as well as the relevant units from the package from oxrse_unit_conv.units import sparkle, candela.

We should write a test or two converting known values. Each test is declared as a method of the unittest.TestCase class, and has one or more self.assert*() calls where * represents one of a number of different assertions that TestCase has access to. For sparkle, we may want to check that we can convert both ways:

import unittest
from oxrse_unit_conv.units import sparkle, candela


class TestSparkle(unittest.TestCase):
    def test_SI(self):
        self.assertTrue(sparkle.si_unit.matches(candela))

    def test_to_si(self):
        self.assertEqual(sparkle.to_si(1), 5)
    
    def test_from_si(self):
        self.assertEqual(candela.to_unit(5, sparkle), 1)


if __name__ == '__main__':
    unittest.main()

If we had other luminosity units, we could add other methods to test that we can convert between those, too.

Tests can be run by entering the src/oxrse_unit_conv directory and running the command:

python -m unittest discover  -s ../tests -t .. -v

Building package

You should not need to do this, but if you want to build a version of the package, you can. Building the package produces distribution files from the source code (that you've just updated). This should be accompanied by an appropriate update to the semantic versioning.

python3 -m build

The updated files will be created in ./dist.

Acknowledgements

The initial setup for this python project was created following the packaging tutorial.