tl;dr Here is a collection of useful Python tips, a starter “Hello World” Python template for both web (using Flask) and stand-alone script. And additional tips in writing effective Python code, getting started, Unit Tests and using the Coverage tool to improve code.
Getting Started – Introducing “Python Hello World” Template
Sometimes when we need to get started in Python, we need an easy “Hello World” template that gets us started with all the basics including unit test and coverage reports. I’ve searched and searched and I have not found something that fits my needs and so I decided to create one. I have placed it in the public domain for others to use under MIT license (free as water). If it solves a little bit of your headache, send me a note and share your feedback. Don’t forget to share the link with others. 😊
In summary, if you’re trying to get started with a Python 3+ project, then feel free to use the template I have for you.
Link to the public repository (on GitHub): Hello World Python Starter Kit
First step, choose your poison:
- For Linux
- For Windows (work pending)
- For GitHub Users
For nix* (Linux) environment:
cd your_project_directory git clone https://github.com/vguhesan/python-hello-world-with-unit-test.git ./myprojectname cd ./myprojectname # For development setup (includes test and coverage tools in PipEnv) ./nix/run_firsttime_setup_dev.sh # For production setup ./nix/run_firsttime_setup_prd.sh # For sample standalone script ./nix/run_standalone_py_script.sh # For sample Flask application (in foreground) ./nix/run_flash_web.sh # For running Unit Tests and Coverage Report ./nix/run_tests_and_coverage.sh
For Windows environment: (work pending)
cd your_project_directory git clone https://github.com/vguhesan/python-hello-world-with-unit-test.git .\myprojectname cd .\myprojectname # For development setup (includes test and coverage tools in PipEnv) .\win\run_firsttime_setup_dev.cmd # For production setup .\win\run_firsttime_setup_prd.cmd # For sample standalone script .\win\run_standalone_py_script.cmd # For sample Flask application (in foreground) .\win\run_flash_web.cmd # For running Unit Tests and Coverage Report .\win\run_tests_and_coverage.cmd
For GitHub account holders:
Simply visit: https://github.com/vguhesan/python-hello-world-with-unit-test And click on "Use this template" (green) button and follow instructions on GitHub.
What is in the ‘Hello World’ project (File Structure):
.
├── LICENSE
├── Pipfile
├── Pipfile.lock
├── README.md
├── nix
│ ├── run_firsttime_setup_dev.sh
│ ├── run_firsttime_setup_prd.sh
│ ├── run_flask_web.sh
│ ├── run_standalone_py_script.sh
│ └── run_tests_and_coverage.sh
├── src
│ ├── __init__.py
│ ├── sample_flask_app.py
│ └── sample_hello_world_script.py
└── test
├── __init__.py
├── test_flask_app.py
└── test_hello_world_script.py
3 directories, 15 filesOutput from Tests and Coverage script:
..... ---------------------------------------------------------------------- Ran 5 tests in 0.012s OK Name Stmts Miss Cover Missing ---------------------------------------------------------------- src/sample_flask_app.py 4 0 100% src/sample_hello_world_script.py 3 0 100% ---------------------------------------------------------------- TOTAL 7 0 100%
How did I achieve a 100% coverage
Tips:
Examine file: /nix/run_tests_and_coverage.sh
- Use effective “omit” and “include” options to only include (and exclude) what you want (and don’t want) in your coverage.
- By default, Coverage will include all python files including the ones that are under “/test” folder. Exclude the tests from coverage.
- By default, Coverage will include all the “init.py” files that marks the folder as a module to Python. These files are always 100%. Why include them in the report. Adds too much noise. Omit them from the report.
- Sometimes your debug code like print(f’Full Name: {person.name}’) maybe enclosed in a “if DEBUG:” clause, and that particular branch does not serve any useful purpose other than debugging the variables. You don’t need to cover them in your tests. To avoid this use “# pragma: no cover” (see this link for more details)
- In your production code use effective “# pragma: no cover” to denote areas which you don’t want to include in your coverage.
- If you have a block of code (multiple lines) that you want to exclude, you don’t want to add “# pragma: no cover” to every line, use something like:
if True: # pragma: no cover
print('Line1')
print('Line2')
print('Line3')The above sample will ignore all four lines from the coverage while the code is syntactically the same without the “if True:” (from the Python Compilers point-of-view. That’s another future article. But for now, if you want to learn more about Python ByteCode, check out dis [stands for “disassembler”] – or here.)
Important Rule
Using the tips above, you’ll be tempted to go globally and remove all code from coverage to reach that 100%. Don’t do that. By doing so, you will pay back later when your code is missing real coverage and the issue creeps in production. So find your right balance between writing unit tests and coverage.
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Thank you for helping me spread the word.
- Find your passion and inspiration today!
- Love what you do [and when life gives you lemons, make lemonade (or better – an Arnold Palmer drink) 🍋+🍵 = 🍹]
- Help someone else discover their passion!
Cheers & Peace!
Published on Java Code Geeks with permission by Venkatt Guhesan, partner at our JCG program. See the original article here: Python Tips: On Getting Started, Unit Testing and Code Coverage Opinions expressed by Java Code Geeks contributors are their own. |
Ironic the picture is a Mac but you don’t mention OS X.