How to Structure Software Projects: Python ExampleLast updated:
- Structure overview
- Variation 1: API-first projects
- Variation 2: Command-line tools
- Variation 3: Data science projects
This template is enough to take you to a medium-large software project. Here's a sample project on github you can just fork and get going with: queirozfcom/python-application-seed
WHY? The most relevant threat to a small software project that becomes medium-largish size is death by entropy.
The project becomes so complex that nobody knows how to change it anymore and any change is so costly that it never gets done.
It eventually dies and gets replaced with a new project or it slows down your whole organization because it can't afford to not use this software because it's vital to the core business.
Note that the examples here are more aimed at keeping internal structure than at making it easier for open-source collaborators to work with your stuff.
. ├── entry-script.py # most projects need a file that spins up processes or start the app ├── helpers/ # scaffolding, sometimes unstructured code needed for your app ├── utils/ # code that has been written for this project but can be easily generalized ├── models/ ├── tests/ └── docs/
This can be thought of as scaffolding code.
This is where we put 'dirty code', code that does not contain core business rules but that's nonetheless needed for the project.
It's important to have a separate for this kind of code because if you place it together with actual business logic code, it will be increasingly hard to understand the business logic because there's so much other stuff mixed in.
Having a separate place for this stops it from contaminating your main business logic, which are the most important parts of the application.
Examples of helper code
- Converting things from one structure to another
- Input validation
- Formatting stuff for display purposes
From my experience, helpers are just methods outside of any class (similar methods are kept in similar files).
Here is where you should put code that you need for your application, but that is general enough that it could be used somewhere else.
Using a separate folder for this helps you rememeber to write this code in a way that is totally decoupled from the rest of your application.
The Hollywood Principle1 applies here: in other words, code in
utils/ does not call methods or use stuff from other parts of the project. If it did, it would get coupled with the rest of the project and you wouldn't be able to reuse it outside.
This is where the core of your business logic goes. Here you write classes, modules and components that make up the domain you are writing code for.
Here you go all-in with everything you learned about software engineering, domain-driven design and all that. Here is where you build
code that's easy to change
code that you can test easily
code that does only what it's supposed to and no more
code that knows only enough about the external world so that it's loosely coupled with other components
code you feel proud about.
Here's something I find funny about tests. Most people think that you need testing because you want to make sure method
2 when you call
add(1,1). That's not it.
I see two main reasons for writing tests.
Tests are documentation
- You write tests so that people can quickly see the use cases for you code and how to use it.
Tests allow you to update and modify your project
- Without tests you will never be comfortable making your code better, because you'll be afraid it will break what currently works.
- Without tests, you can never alter the structure of your project, fix bad architectural decisions of refactor.
Remember: Too much testing is just as bad as too little testing. Writing too many test cases or testing the wrong things will make you code brittle (i.e. easily breakable) and it may hinder change and updates.
Variation 1: API-first projects
You will need another directory called
controllers/ to place the request handlers. Depending upon the web framework you are using, it will place additional constraints on how you strcuture your code, but the advice in the main strcuture remains.
Specific directory for controllers
- In my experience, we generally tend to structure our web applications around the controllers, so they tend to get bloated if we don't watch out.
- Controller code tends to get large an complex fast. It's better to have one helper class for each controller or specific API method handler.
- Each controller should only call its own helper and, if needed, that helper will in turn call other generic helpers in the
. ├── entry-script.py ├── controllers/ # one file per controller │ └── user_controller.py ├── helpers/ │ └── controllers/ │ └── user_controller_helper.py # this should only be called by user_controller.py ├── utils/ ├── models/ └── tests/ └── web_tests/ # a specific folder tests against the HTTP API
Variation 2: Command-line tools
For projects that you will want to use from the command-line (CLI), you need a directory called
bin/ which is what you will tell your users to add to their
$PATH environment variable to use your code. Everything else stays the same.
. ├── bin/ # here go executable files that users add to their PATH ├── docs/ ├── helpers/ ├── utils/ ├── models └── tests/
Variation 3: Data science projects
For data science projects, the Cookie Cutter data science project is probably a good start: Cookie cutter data science.
I would suggest removing a few things I think are overkill and adding a couple directories, so that it looks like a very minimal version of the original thing:
. ├── data/ │ ├── raw/ # raw data, as you receive it │ ├── processed/ # datasets with extracted features │ ├── output/ # output datasets generated by your models │ └── cache/ # you want to cache stuff that takes too long to calculate ├── docs/ # still important, but don't overdo it │ └── presentations/ # good to keep track of what you presented to clients/boss ├── models/ # saved models go here ├── notebooks/ # most of the action happens HERE └── src/ # as per my original structure suggestion ├── helpers/ # helpers for plotting, preprocessing, etc └── utils/ # stuff you can reuse in other projects
1: The Hollywod Principle in software engineering can be summarized in the following sentence: Don't call us, we'll call you. It is used in cases when you write some component that will be used by other components you have no control over. See more information here: WikiWikiWeb: The Hollywod Principle
- Click is a very interesting tool to help you write command-line applications in Python.