

- #JSON QUERY GITHUB PYTHON HOW TO#
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itsdangerous - Required for SessionMiddleware support.python-multipart - Required if you want to support form "parsing", with request.form().jinja2 - Required if you want to use the default template configuration.httpx - Required if you want to use the TestClient.email_validator - for email validation.To understand more about it, see the section Benchmarks. Independent TechEmpower benchmarks show FastAPI applications running under Uvicorn as one of the fastest Python frameworks available, only below Starlette and Uvicorn themselves (used internally by FastAPI). extremely easy tests based on HTTPX and pytest.Many extra features (thanks to Starlette) as:.GraphQL integration with Strawberry and other libraries.More advanced (but equally easy) techniques for declaring deeply nested JSON models (thanks to Pydantic).Security and authentication, including support for OAuth2 with JWT tokens and HTTP Basic auth.A very powerful and easy to use Dependency Injection system.
#JSON QUERY GITHUB PYTHON HOW TO#
#JSON QUERY GITHUB PYTHON CODE#
Automatic client code generation systems, for many languages.Document everything with OpenAPI, that can be used by:.Convert from and to JSON automatically.All this would also work for deeply nested JSON objects.Check that it has an optional attribute is_offer, that should be a bool, if present.Check that it has a required attribute price that has to be a float.Check that it has a required attribute name that should be a str.get ( "/" ) def read_root (): return, Read the body as JSON:
#JSON QUERY GITHUB PYTHON WINDOWS#
Some of them are getting integrated into the core Windows product and some Office products."įrom typing import Union from fastapi import FastAPI from pydantic import BaseModel app = FastAPI () class Item ( BaseModel ): name : str price : float is_offer : Union = None. I'm actually planning to use it for all of my team's ML services at Microsoft. * estimation based on tests on an internal development team, building production applications. Standards-based: Based on (and fully compatible with) the open standards for APIs: OpenAPI (previously known as Swagger) and JSON Schema.With automatic interactive documentation. Multiple features from each parameter declaration. Easy: Designed to be easy to use and learn.Fewer bugs: Reduce about 40% of human (developer) induced errors.Fast to code: Increase the speed to develop features by about 200% to 300%.One of the fastest Python frameworks available.

Fast: Very high performance, on par with NodeJS and Go (thanks to Starlette and Pydantic).
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OAuth2 with Password (and hashing), Bearer with JWT tokensĬustom Response - HTML, Stream, File, othersĪlternatives, Inspiration and ComparisonsįastAPI framework, high performance, easy to learn, fast to code, ready for productionįastAPI is a modern, fast (high-performance), web framework for building APIs with Python 3.7+ based on standard Python type hints. Dependencies in path operation decorators
