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docs/de/docs/tutorial/security/index.md
Es handelte sich also um ein komplett zusätzliches System. Heutzutage ist es nicht sehr populär und wird kaum verwendet. ## OpenAPI OpenAPI (früher bekannt als Swagger) ist die offene Spezifikation zum Erstellen von APIs (jetzt Teil der Linux Foundation). **FastAPI** basiert auf **OpenAPI**. Das ist es, was erlaubt, mehrere automatische interaktive Dokumentations-Oberflächen, Codegenerierung, usw. zu haben.
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docs/en/docs/index.md
from typing import Union from fastapi import FastAPI from pydantic import BaseModel app = FastAPI() class Item(BaseModel): name: str price: float is_offer: Union[bool, None] = None @app.get("/") def read_root(): return {"Hello": "World"} @app.get("/items/{item_id}") def read_item(item_id: int, q: Union[str, None] = None):
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docs/he/docs/index.md
from typing import Union from fastapi import FastAPI from pydantic import BaseModel app = FastAPI() class Item(BaseModel): name: str price: float is_offer: Union[bool, None] = None @app.get("/") def read_root(): return {"Hello": "World"} @app.get("/items/{item_id}") def read_item(item_id: int, q: Union[str, None] = None):
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docs/fa/docs/index.md
from typing import Optional from fastapi import FastAPI from pydantic import BaseModel app = FastAPI() class Item(BaseModel): name: str price: float is_offer: Union[bool, None] = None @app.get("/") def read_root(): return {"Hello": "World"} @app.get("/items/{item_id}") def read_item(item_id: int, q: Union[str, None] = None):
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docs/pt/docs/tutorial/body-nested-models.md
Você pode definir modelos profundamente aninhados de forma arbitrária: ```Python hl_lines="9 14 20 23 27" {!../../../docs_src/body_nested_models/tutorial007.py!} ``` !!! info "informação" Note como `Offer` tem uma lista de `Item`s, que por sua vez possui opcionalmente uma lista `Image`s ## Corpos de listas puras
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docs/fr/docs/alternatives.md
Il utilise le standard précédent pour les frameworks web Python (WSGI) qui est synchrone, donc il ne peut pas gérer les WebSockets et d'autres cas d'utilisation. Néanmoins, il offre de très bonnes performances. Il est conçu pour avoir des fonctions qui reçoivent deux paramètres, une "requête" et une "réponse". Ensuite, vous
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docs/ko/docs/index.md
from typing import Union from fastapi import FastAPI from pydantic import BaseModel app = FastAPI() class Item(BaseModel): name: str price: float is_offer: Union[bool, None] = None @app.get("/") def read_root(): return {"Hello": "World"} @app.get("/items/{item_id}") def read_item(item_id: int, q: Union[str, None] = None):
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docs/zh-hant/docs/index.md
from typing import Union from fastapi import FastAPI from pydantic import BaseModel app = FastAPI() class Item(BaseModel): name: str price: float is_offer: Union[bool, None] = None @app.get("/") def read_root(): return {"Hello": "World"} @app.get("/items/{item_id}") def read_item(item_id: int, q: Union[str, None] = None):
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