The key features are: Fast: Very high performance, on par with NodeJS and Go (thanks to Starlette and Pydantic). For the tutorial, you might want to install it with all the optional dependencies and features: that also includes uvicorn, that you can use as the server that runs your code. external links or advertisements. You switched accounts on another tab or window. Interactive API documentation and exploration web user interfaces. Instead, Flask (or rather, the WSGI server running it, like gunicorn or uWSGI) achieve scaling by running multiple worker instances of the app in parallel, such that requests can be farmed to other workers while one is busy. And it's intended to be the FastAPI of CLIs. If you're not sure which to choose, learn more about installing packages. To view and create comments for this [] I'm actually planning to use it for all of my team's ML services at Microsoft. For example, you can update a field as deprecated, as show below: To view the result visit the localhost:8000/docs page. We will break the normal TDD flow for this route in order to establish the coding pattern that we'll use for the remaining routes. If you are building an application or a web API, it's rarely the case that you can put everything on a single file. In the next sections you will see other options, configurations, and additional features. WebFastAPI is a modern, fast (high-performance), web framework for building APIs with Python 3.6+ based on standard Python type hints. Documentation: https://fastapi.tiangolo.com Source Code: https://github.com/tiangolo/fastapi FastAPI is a modern, fast (high-performance), web framework for building APIs with Python 3.7+ based on standard Python type hints. And we can even declare global dependencies that will be combined with the dependencies for each APIRouter: Now we import the other submodules that have APIRouters: As the files app/routers/users.py and app/routers/items.py are submodules that are part of the same Python package app, we can use a single dot . Again, make sure the test fails. ", "If you're looking to learn one modern framework for building REST APIs, check out FastAPI [] It's fast, easy to use and easy to learn []", "We've switched over to FastAPI for our APIs [] I think you'll like it []", "If anyone is looking to build a production Python API, I would highly recommend FastAPI. And there are dozens of alternatives, all based on OpenAPI. 2023 Python Software Foundation WebFirst, lets look at key features as pointed out in the original documentation of FastAPI. Webdescription: a str with a short description for the external docs. In perfectly conventional REST API applications, this automatic documentation might suffice to help clients understand how to use it. The next sections are not necessarily "advanced". Jul 7, 2023 So, in OpenAPI, each of the HTTP methods is called an "operation". Each of the four attributes documents a different thing: Refer to the JSON object at the /openapi.json route or to the OpenAPI Swagger Specification to learn which attributes can be modified on an object. In the next sections you will see other options, configurations, and additional features. url ( required ): a str with the URL for the external documentation. Functional Cookies, which allow us to analyze site usage so we can Many extra features (thanks to Starlette) as. You don't have to worry about performance when including routers. Validation for most (or all?) Security and authentication, including support for, More advanced (but equally easy) techniques for declaring. The license information for the exposed API. In the next sections you will see other options, configurations, and additional features. The key features are: Fast: Very high performance, on par with NodeJS and Go (thanks to With FastAPI you get all of Starlette's features (as FastAPI is just Starlette on steroids): FastAPI is fully compatible with (and based on) Pydantic. You can customize several metadata configurations in your FastAPI application. Before posting, consider if your To get an idea of what the schema looks like by default, go to the app and click the openapi.json link. With Flask-like simplicity, it is easy and fun to update your Flask RESTful API to asynchronous mode. Essentially, when the route is hit with a POST request, FastAPI will read the body of the request and validate the data: Speed: Increase the development speed 2-3X. And it's intended to be the FastAPI of CLIs. Swagger UI, with interactive exploration, call and test your API directly from the browser. It's designed so that you can build a complete application with just the Tutorial - User Guide, and then extend it in different ways, depending on your needs, using some of the additional ideas from the Advanced User Guide. Just Modern Python All this would also work for deeply nested JSON objects. It's all based on standard Python 3.6 type declarations (thanks to Pydantic). https://fastapi.tiangolo.com. INFO: Waiting for application startup. In the next sections you will see other options, configurations, and additional features. Including external libraries also based on Pydantic, as ORMs, ODMs for databases. from fastapi import APIRouter, HTTPException, Path, So, we added the following metadata to the parameter with Path: This is because we also have another variable named router in the submodule users. The APIRouters are not "mounted", they are not isolated from the rest of the application. 1.1Features Auth Backend & Middleware (User or None in every request object) Permissions: reusable class permissions, specify multiple as FastAPI Dependency WebONE FASTAPI CONTRIB Opinionated set of utilities on top of FastAPI Free software: MIT license Documentation: https://fastapi-contrib.readthedocs.io. $ docker-compose exec web pytest . Let's try that in an example with tags for users and items. MUST be in the format of a URL. You could also use it to generate code automatically, for clients that communicate with your API. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. WebYou will see the automatic interactive API documentation (provided by Swagger UI ): Alternative API docs And now, go to http://127.0.0.1:8000/redoc. The app shows the schema in its JSON format. This tutorial shows you how to use FastAPI with most of its features, step by step.. Each section gradually builds on the previous ones, but it's structured to separate topics, so that you can go directly to any specific one to solve your specific API needs. If your code uses async / await, use async def: If you don't know, check the "In a hurry?" Completion everywhere. A "decorator" takes the function below and does something with it. The key features are: Fast: Very high performance, on par with NodeJS and Go (thanks to Starlette and Pydantic). Validation even for deeply nested JSON objects. Finally, to keep the docs page loading quickly, cache the documentation object so it doesnt need to be recreated each time the app loads. Let's say you have a file structure like this: There are several __init__.py files: one in each directory or subdirectory. View pydantic Overview for more details. Unfortunately, the title and version arguments to get_openapi are required arguments and the app throws an error if they are excluded. You do that with standard modern Python types. All this would also work for deeply nested JSON objects. Easy: Great editor support. A list route that is part of your API provides summary information (like a count or a cumulative sum or average) as a convenience for clients who need it. So, behind the scenes, it will actually work as if everything was the same single app. This guide introduces how FastAPI creates documentation from your code. But we don't have that. Este proyecto One of the fastest Python frameworks available. The simplest FastAPI file could look like this: In the output, there's a line with something like: That line shows the URL where your app is being served, in your local machine. FastAPI apps expect the presence of an instance method, app.openapi, whose return value gets set on an instance attribute, app.openapi_schema. constructive, and relevant to the topic of the guide. [] I'm actually planning to use it for all of my team's ML services at Microsoft. Site map, Piero Molino, Yaroslav Dudin, and Sai Sumanth Miryala -, Kevin Glisson, Marc Vilanova, Forest Monsen -. As the framework is based on OpenAPI, there are multiple options, 2 included by default. - If invalid, an error is immediately returned. It will be called by FastAPI whenever it receives a request to the URL "/" using a GET operation. But you can configure it with the parameter openapi_url. docker-compose exec web pytest . We can also add a list of tags and extra responses that will be applied to all the path operations included in this router. Software Development :: Libraries :: Application Frameworks, Software Development :: Libraries :: Python Modules, One of the fastest Python frameworks available, http://127.0.0.1:8000/items/5?q=somequery, one of the fastest Python frameworks available. Developed and maintained by the Python community, for the Python community. The Advanced User Guide, builds on this, uses the same concepts, and teaches you some extra features. To get the test to pass, update the NoteSchema (in models.py) like so: As we added additional validation to the pydantic model with Field, add the import (in the same models.py file): all systems operational. WebFastAPI is a modern, fast (high-performance), web framework for building APIs with Python 3.7+ based on standard Python type hints. But in some cases, its helpful to customize the documentation. Not the code that implements it, but just an abstract description. If you need a 2 minute refresher of how to use Python types (even if you don't use FastAPI), check the short tutorial: Python Types. WebFirst, lets look at key features as pointed out in the original documentation of FastAPI. With deep support for asyncio, FastAPI is indeed very fast. pre-release. The module items will have a variable router (items.router). Work fast with our official CLI. You import it and create an "instance" the same way you would with the class FastAPI: And then you use it to declare your path operations. Document everything with OpenAPI, that can be used by: Automatic client code generation systems, for many languages. Declare the body using standard Python types, thanks to Pydantic. You put it on top of a function. WebApr 27, 2020 Contents FastAPI Tutorial Documentation, Release FastAPI This is an autogenerated index le. If provided, this has to be a URL. You will see the alternative automatic documentation (provided by ReDoc ): OpenAPI FastAPI generates a "schema" with all your API using the OpenAPI standard for defining APIs. In summary, you declare once the types of parameters, body, etc. Just standard modern Python. ", "We adopted the FastAPI library to spawn a REST server that can be queried to obtain predictions. This is what allows importing code from one file into another. Note that we used the async declaration here since the database communication will be asynchronous. All the security schemes defined in OpenAPI, including: Plus all the security features from Starlette (including session cookies). Autocompletion works everywhere. So you can come back and see exactly what you need. You will see the automatic interactive API documentation (provided by Swagger UI): And now, go to http://127.0.0.1:8000/redoc. FastAPI is a class that inherits directly from Starlette. FastAPI stands on the shoulders of giants: You will also need an ASGI server, for production such as Uvicorn or Hypercorn. Even if the dependencies are not added individually to each one of them. Alternative API documentation with ReDoc. Create metadata for your tags and pass it If you are curious about how the raw OpenAPI schema looks like, FastAPI automatically generates a JSON (schema) with the descriptions of all your API. If nothing happens, download Xcode and try again. If nothing happens, download GitHub Desktop and try again. You can see it directly at: http://127.0.0.1:8000/openapi.json. on this topic. WebTip There are several __init__.py files: one in each directory or subdirectory. WebLearn how to create highly performant, asynchronous, modern, web applications in Python with MongoDB. Create metadata for tags Let's try that in an example with tags for users and items. If you're familiar with Flask, it is equivalent to a Blueprint. The same applies the other way around, in many cases you can just pass the object you get from the database directly to the client. ", "Honestly, what you've built looks super solid and polished. article, please. We know all the path operations in this module have the same: So, instead of adding all that to each path operation, we can add it to the APIRouter. * estimation based on tests on an internal development team, building production applications., "[] I'm using FastAPI a ton these days. All the code blocks can be copied and used directly (they are actually tested Python files). WebYou will see the automatic interactive API documentation (provided by Swagger UI ): Alternative API docs And now, go to http://127.0.0.1:8000/redoc. Security and authentication, including support for, More advanced (but equally easy) techniques for declaring. You can break up and modularize larger projects as well as apply versioning to your API with the APIRouter. A tag already exists with the provided branch name. For example: This function uses the get_openapi function imported earlier to set a new title, version, and description for the documentation. - If valid, the data will be available in the payload parameter. No FastAPI tutorial would be complete without an explanation of how to provide detailed, complete documentation. Hope you have enjoyed! "Schema" The main Tutorial - User Guide should be enough to give you a tour through all the main features of FastAPI. In our case, this decorator tells FastAPI that the function below corresponds to the path / with an operation get. Provide 2 interactive documentation web interfaces directly. Use it the same way you would use the FastAPI class: You can think of APIRouter as a "mini FastAPI" class. But let's say that because it is shared with other projects in the organization, we cannot modify it and add a prefix, dependencies, tags, etc. With this configuration, the automatic API docs would look like: Since OpenAPI 3.1.0 and FastAPI 0.99.0, you can also set the license_info with an identifier instead of a url. To run any of the examples, copy the code to a file main.py, and start uvicorn with: It is HIGHLY encouraged that you write or copy the code, edit it and run it locally. WebFastAPI 0.95.0 API documentation with instant search, offline support, keyboard shortcuts, mobile version, and more. Typer is FastAPI's little sibling. Open your browser at http://127.0.0.1:8000. Handler databases is an async SQL query builder that works on top of the SQLAlchemy Core expression language. Run tests and make sure you get errors: The key features are: Fast: Very high performance, on par with NodeJS and Go (thanks to