The models are the data descriptor of our application, in many cases related to the database model.
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Let’s now break it down and explain each module.Īll the application magic happens inside the API module ( /api), there, we split the code into 4 main parts: You can follow the explanation of the structure in the article, and you can also find this structure ready to use in the Flask API starter kit on github. However, I’d like to introduce you to how my team structures Flask applications, and we used this setup for multiple production projects. I’d like to start this section by saying that there’s no one correct way to structure your application depending on application size, modules, requirements, or even personal preferences. How to Properly Structure Your Application In any form of GET, POST, or another verb. With this information, we can identify the collection resource by the URI /customers or a single resource by using the URI /customers / /cart /checkout: runs the checkout process. Our primary resource is customers, which is a collection of the instance customer. Let’s start getting practical by modeling a simple eCommerce website with customers, orders, and a checkout process. Sure, there are particular ways to name your resources, and we will cover them, but being consistent is more important to the actual convention you choose. Note that I highlighted consistently in the previous sentence, as it’s a key factor. Naming these resources consistently throughout your API will turn out to be one of the best decisions for the long term. In REST, we called Resource to a first-level data representation. By reading the URI and HTTP verb (more on this later), a developer can pretty much have a good understanding of what to expect to happen when calling a particular method.īut how does that work? Let’s start with naming URIs. Let’s get started! ? Design Your API Endpoints with Proper Names and HTTP VerbsĪn adequately designed API is easy and straightforward for developers to understand.
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How to properly structure your application.Design your API endpoints with proper names and HTTP verbs.The following tips and practices are the result of research and more than eight years of experience building and shipping production-grade APIs with Python: I love the flexibility and adaptability of these frameworks, and for today's article, we will be focusing on Flask. I work a lot with Flask and FastAPI, and I love both. It makes use of newer python features such as type-hints, concurrency handling (with async), and it’s super fast. FastAPI is a relatively new framework.The great part is, you decide exactly what you need for your project, nothing more. Flask, on the contrary, is a minimalist framework, it provides only the necessary tools, but it extends its functionality with additional libraries and frameworks.It provides tools and modules for handling API requests, serialization, database connections, automatic admin UI generation, and so much more. After all, some of these frameworks are different, even from the ideology. Python is a popular choice for API development, not only because it is one of the most loved programming languages, but also because of its rich ecosystem of libraries and frameworks that serve that goal, libraries with immense popularity such as Django, Flask, and FastAPI.īut which framework should you use to build your APIs with Python? It’s 100% up to you, but there are important considerations to keep in mind. Its adaptability, readability, and coding speed are unique and make python a powerful choice in various projects, from data science projects to scripting and, of course, APIs. Python is my favorite programming language.