高性能Python ASGI框架,专注API开发
Litestar是一款功能丰富的ASGI框架,专为API开发而设计。它提供高性能数据处理、依赖注入、ORM集成和授权机制等核心功能。框架支持类控制器、插件系统、OpenAPI 3.1生成、中间件和路由守卫,并与SQLAlchemy等ORM无缝集成。Litestar使用msgspec实现快速验证和序列化,是构建高效Python Web应用的理想选择。
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Litestar is a powerful, flexible yet opinionated ASGI framework, focused on building APIs, and offers high-performance data validation and parsing, dependency injection, first-class ORM integration, authorization primitives, and much more that's needed to get applications up and running.
Check out the documentation 📚 for a detailed overview of its features!
Additionally, the Litestar fullstack repository can give you a good impression how a fully fledged Litestar application may look.
<details> <summary>Table of Contents</summary> </details>pip install litestar
from litestar import Litestar, get @get("/") def hello_world() -> dict[str, str]: """Keeping the tradition alive with hello world.""" return {"hello": "world"} app = Litestar(route_handlers=[hello_world])
dataclasses
, TypedDict
, pydantic version 1 and version 2,
msgspec and attrsLitestar is an open-source project, and we enjoy the support of our sponsors to help fund the exciting work we do.
A huge thanks to our sponsors:
<a href="https://github.com/scalar/scalar/?utm_source=litestar&utm_medium=website&utm_campaign=main-badge" target="_blank" title="Scalar.com - Document, Discover and Test APIs with Scalar."><img src="https://raw.githubusercontent.com/litestar-org/branding/main/assets/sponsors/scalar.svg" width="180" alt="Scalar.com"></a> <a href="https://telemetrysports.com/" title="Telemetry Sports - Changing the way data influences the sports experience"><img src="https://raw.githubusercontent.com/litestar-org/branding/main/assets/sponsors/telemetry-sports/unofficial-telemetry-whitebg.svg" width="150" alt="Telemetry Sports"></a> <a href="https://www.stok.kr/" title="Stok - Stack Up Your Assets!"><img src="https://avatars.githubusercontent.com/u/144093421?s=400&v=4" width="150" alt="Stok"></a>
<a href="https://docs.litestar.dev/dev/#sponsors" class="external-link" target="_blank">Check out our sponsors in the docs</a>
If you would like to support the work that we do please consider becoming a sponsor via Polar.sh (preferred), GitHub or Open Collective.
Also, exclusively with Polar, you can engage in pledge-based sponsorships.
While supporting function-based route handlers, Litestar also supports and promotes python OOP using class based controllers:
<details> <summary>Example for class-based controllers</summary></details>from typing import List, Optional from datetime import datetime from litestar import Controller, get, post, put, patch, delete from litestar.dto import DTOData from pydantic import UUID4 from my_app.models import User, PartialUserDTO class UserController(Controller): path = "/users" @post() async def create_user(self, data: User) -> User: ... @get() async def list_users(self) -> List[User]: ... @get(path="/{date:int}") async def list_new_users(self, date: datetime) -> List[User]: ... @patch(path="/{user_id:uuid}", dto=PartialUserDTO) async def partial_update_user( self, user_id: UUID4, data: DTOData[PartialUserDTO] ) -> User: ... @put(path="/{user_id:uuid}") async def update_user(self, user_id: UUID4, data: User) -> User: ... @get(path="/{user_name:str}") async def get_user_by_name(self, user_name: str) -> Optional[User]: ... @get(path="/{user_id:uuid}") async def get_user(self, user_id: UUID4) -> User: ... @delete(path="/{user_id:uuid}") async def delete_user(self, user_id: UUID4) -> None: ...
Litestar is rigorously typed, and it enforces typing. For example, if you forget to type a return value for a route handler, an exception will be raised. The reason for this is that Litestar uses typing data to generate OpenAPI specs, as well as to validate and parse data. Thus, typing is essential to the framework.
Furthermore, Litestar allows extending its support using plugins.
Litestar has a plugin system that allows the user to extend serialization/deserialization, OpenAPI generation, and other features.
It ships with a builtin plugin for SQL Alchemy, which allows the user to use SQLAlchemy declarative classes "natively" i.e., as type parameters that will be serialized/deserialized and to return them as values from route handlers.
Litestar also supports the programmatic creation of DTOs with a DTOFactory
class, which also supports the use of
plugins.
Litestar has custom logic to generate OpenAPI 3.1.0 schema, include optional generation of examples using the
polyfactory
library.
Litestar serves the documentation from the generated OpenAPI schema with:
All these are available and enabled by default.
Litestar has a simple but powerful DI system inspired by pytest. You can define named dependencies - sync or async - at different levels of the application, and then selective use or overwrite them.
<details> <summary>Example for DI</summary></details>from litestar import Litestar, get from litestar.di import Provide async def my_dependency() -> str: ... @get("/") async def index(injected: str) -> str: return injected app = Litestar([index], dependencies={"injected": Provide(my_dependency)})
Litestar supports typical ASGI middleware and ships with middlewares to handle things such as
Litestar has an authorization mechanism called guards
, which allows the user to define guard functions at different
level of the application (app, router, controller etc.) and validate the request before hitting the route handler
function.
</details>from litestar import Litestar, get from litestar.connection import ASGIConnection from litestar.handlers.base import BaseRouteHandler from litestar.exceptions import NotAuthorizedException async def is_authorized(connection: ASGIConnection, handler: BaseRouteHandler) -> None: # validate authorization # if not authorized, raise NotAuthorizedException raise NotAuthorizedException() @get("/", guards=[is_authorized]) async def index() -> None: ... app = Litestar([index])
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