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FastAPI_EN_DOC.pdf

python

fastapi

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FastAPI is a modern, fast (high-performance), web framework for building APIs with Python 3.6+ based on standard Python type hints.

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FastAPI

[https://fastapi.tiangolo.com]

FastAPI framework, high performance, easy to learn, fast to code, ready for

production

build

passing

[https://travis-ci.com/tiangolo/fastapi]

codecov

99%

[https://codecov.io/gh/tiangolo/fastapi]

pypi package

0.49.0

[https://pypi.org/project/fastapi] [https://gitter.im/tiangolo/fastapi?

utm_source=badge&utm_medium=badge&utm_campaign=pr-

badge&utm_content=badge]

Documentation: https://fastapi.tiangolo.com [https://fastapi.tiangolo.com]

Source Code: https://github.com/tiangolo/fastapi

[https://github.com/tiangolo/fastapi]

FastAPI is a modern, fast (high-performance), web framework for building APIs

with Python 3.6+ based on standard Python type hints.

The key features are:

Fast: Very high performance, on par with NodeJS and Go (thanks to

Starlette and Pydantic). One of the fastest Python frameworks available

[#performance].

Fast to code: Increase the speed to develop features by about 200% to

300% *.

Fewer bugs: Reduce about 40% of human (developer) induced errors. *

Intuitive: Great editor support. Completion everywhere. Less time

debugging.

Easy: Designed to be easy to use and learn. Less time reading docs.

Short: Minimize code duplication. Multiple features from each parameter

declaration. Fewer bugs.

Robust: Get production-ready code. With automatic interactive

documentation.

Standards-based: Based on (and fully compatible with) the open standards

for APIs: OpenAPI[↪] (previously known as Swagger) and JSON

Schema[↪].

Opinions

"[...] I'm using FastAPI a ton these days. [...] I'm actually planning to use it for all

of my team's ML services at Microsoft. Some of them are getting integrated into

the core Windows product and some Ofﬁce products."

Kabir Khan - Microsoft

[https://github.com/tiangolo/fastapi/pull/26]

"I’m over the moon excited about FastAPI. It’s so fun!"

Brian Okken - Python Bytes

[https://pythonbytes.fm/episodes/show/123/time-to-right-the-py-

wrongs?time_in_sec=855] podcast host

[https://twitter.com/brianokken/status/1112220079972728832]

* estimation based on tests on an internal development team, building production applications.

(ref)

"Honestly, what you've built looks super solid and polished. In many ways, it's
what I wanted Hug to be - it's really inspiring to see someone build that."
Timothy Crosley - Hug [http://www.hug.rest/] creator 
[https://news.ycombinator.com/item?id=19455465]
"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 [...]"
Ines Montani - Matthew Honnibal - Explosion AI [https://explosion.ai]
founders - spaCy [https://spacy.io] creators 
[https://twitter.com/_inesmontani/status/1144173225322143744] -
 [https://twitter.com/honnibal/status/1144031421859655680]
"We adopted the FastAPI library to spawn a REST server that can be queried to
obtain predictions. [for Ludwig]"
Piero Molino, Yaroslav Dudin, and Sai Sumanth Miryala - Uber 
[https://eng.uber.com/ludwig-v0-2/]
Requirements
Python 3.6+
FastAPI stands on the shoulders of giants:
Starlette[↪] for the web parts.
Pydantic[↪] for the data parts.
Installation
(ref)
(ref)
(ref)
(ref)

You will also need an ASGI server, for production such as Uvicorn[↪] or

Hypercorn[↪].

Example

Create it

Create a ﬁle main.py with:

pip install fastapi

pip install uvicorn

from fastapi import FastAPI

app = FastAPI()

@app.get("/")

def read_root():

return {"Hello": "World"}

@app.get("/items/{item_id}")

def read_item(item_id: int, q: str = None):

return {"item_id": item_id, "q": q}

Or use async def ...

If your code uses async / await , use async def :





from fastapi import FastAPI

app = FastAPI()

@app.get("/")

async def read_root():

return {"Hello": "World"}

@app.get("/items/{item_id}")

async def read_item(item_id: int, q: str = None):

return {"item_id": item_id, "q": q}

Run it

Run the server with:

Check it

Open your browser at http://127.0.0.1:8000/items/5?q=somequery[↪].

You will see the JSON response as:

You already created an API that:

Receives HTTP requests in the paths / and /items/{item_id} .

Both paths take GET operations (also known as HTTP methods).

The path /items/{item_id} has a path parameter item_id that should be

an int .

The path /items/{item_id} has an optional str query parameter q .

Interactive API docs

Note:

If you don't know, check the "In a hurry?" section about async and await in the docs

[https://fastapi.tiangolo.com/async/#in-a-hurry].

uvicorn main:app --reload

About the command uvicorn main:app --reload ...

The command uvicorn main:app refers to:

main : the ﬁle main.py (the Python "module").

app : the object created inside of main.py with the line app = FastAPI() .

--reload : make the server restart after code changes. Only do this for development.





{"item_id": 5, "q": "somequery"}

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