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docs/ru/docs/tutorial/first-steps.md
Вы также можете использовать OpenAPI для автоматической генерации кода для клиентов, которые взаимодействуют с API. Например, для фронтенд-, мобильных или IoT-приложений. ## Рассмотрим поэтапно ### Шаг 1: импортируйте `FastAPI` ```Python hl_lines="1" {!../../docs_src/first_steps/tutorial001.py!} ```
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docs/es/docs/how-to/graphql.md
Aquí hay algunas de las libraries de **GraphQL** que tienen soporte con **ASGI** las cuales podrías usar con **FastAPI**: * <a href="https://strawberry.rocks/" class="external-link" target="_blank">Strawberry</a> 🍓 * Con <a href="https://strawberry.rocks/docs/integrations/fastapi" class="external-link" target="_blank">documentación para FastAPI</a> * <a href="https://ariadnegraphql.org/" class="external-link" target="_blank">Ariadne</a>
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docs/fr/docs/deployment/docker.md
```Dockerfile FROM python:3.7 RUN pip install fastapi uvicorn EXPOSE 80 COPY ./app /app CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "80"] ``` ## Créer le code **FastAPI**. * Créer un répertoire `app` et y entrer. * Créez un fichier `main.py` avec : ```Python from typing import Optional from fastapi import FastAPI app = FastAPI() @app.get("/") def read_root():
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docs/es/docs/benchmarks.md
* Si estás comparando Starlette, compáralo con Sanic, Flask, Django, etc. Frameworks web (o microframeworks). * **FastAPI**: * De la misma manera que Starlette usa Uvicorn y no puede ser más rápido que él, **FastAPI** usa Starlette, por lo que no puede ser más rápido que él.
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docs/fr/docs/benchmarks.md
* **FastAPI** : * Comme Starlette, FastAPI utilise Uvicorn et ne peut donc pas être plus rapide que ce dernier.
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docs/pt/docs/how-to/graphql.md
## Bibliotecas GraphQL Aqui estão algumas das bibliotecas **GraphQL** que têm suporte **ASGI**. Você pode usá-las com **FastAPI**: * <a href="https://strawberry.rocks/" class="external-link" target="_blank">Strawberry</a> 🍓 * Com <a href="https://strawberry.rocks/docs/integrations/fastapi" class="external-link" target="_blank">docs para FastAPI</a> * <a href="https://ariadnegraphql.org/" class="external-link" target="_blank">Ariadne</a>
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docs/uk/docs/tutorial/first-steps.md
`FastAPI` це клас, який успадковується безпосередньо від `Starlette`. Ви також можете використовувати всю функціональність <a href="https://www.starlette.io/" class="external-link" target="_blank">Starlette</a> у `FastAPI`. /// ### Крок 2: створюємо екземпляр `FastAPI` ```Python hl_lines="3" {!../../docs_src/first_steps/tutorial001.py!} ``` Змінна `app` є екземпляром класу `FastAPI`.
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docs/en/docs/tutorial/dependencies/index.md
And then it just returns a `dict` containing those values. /// info FastAPI added support for `Annotated` (and started recommending it) in version 0.95.0. If you have an older version, you would get errors when trying to use `Annotated`. Make sure you [Upgrade the FastAPI version](../../deployment/versions.md#upgrading-the-fastapi-versions){.internal-link target=_blank} to at least 0.95.1 before using `Annotated`. ///
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docs/de/docs/how-to/graphql.md
Hier sind einige der **GraphQL**-Bibliotheken, welche **ASGI** unterstützen. Diese könnten Sie mit **FastAPI** verwenden: * <a href="https://strawberry.rocks/" class="external-link" target="_blank">Strawberry</a> 🍓 * Mit <a href="https://strawberry.rocks/docs/integrations/fastapi" class="external-link" target="_blank">Dokumentation für FastAPI</a> * <a href="https://ariadnegraphql.org/" class="external-link" target="_blank">Ariadne</a>
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tests/test_tutorial/test_websockets/test_tutorial002_an_py39.py
import pytest from fastapi import FastAPI from fastapi.testclient import TestClient from fastapi.websockets import WebSocketDisconnect from ...utils import needs_py39 @pytest.fixture(name="app") def get_app(): from docs_src.websockets.tutorial002_an_py39 import app return app @needs_py39 def test_main(app: FastAPI): client = TestClient(app) response = client.get("/")
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