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docs_src/schema_extra_example/tutorial003_py310.py
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docs_src/schema_extra_example/tutorial001_py310_pv1.py
price: float tax: float | None = None class Config: schema_extra = { "examples": [ { "name": "Foo", "description": "A very nice Item", "price": 35.4, "tax": 3.2, } ] } @app.put("/items/{item_id}") async def update_item(item_id: int, item: Item):
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docs/en/docs/how-to/graphql.md
# GraphQL As **FastAPI** is based on the **ASGI** standard, it's very easy to integrate any **GraphQL** library also compatible with ASGI. You can combine normal FastAPI *path operations* with GraphQL on the same application. !!! tip **GraphQL** solves some very specific use cases. It has **advantages** and **disadvantages** when compared to common **web APIs**.
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docs_src/schema_extra_example/tutorial004_an.py
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docs_src/schema_extra_example/tutorial004_an_py39.py
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docs/en/docs/deployment/versions.md
!!! tip The "MINOR" is the number in the middle, for example, in `0.2.3`, the MINOR version is `2`. ## Upgrading the FastAPI versions You should add tests for your app. With **FastAPI** it's very easy (thanks to Starlette), check the docs: [Testing](../tutorial/testing.md){.internal-link target=_blank}
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docs/en/docs/tutorial/testing.md
It is based on <a href="https://www.python-httpx.org" class="external-link" target="_blank">HTTPX</a>, which in turn is designed based on Requests, so it's very familiar and intuitive. With it, you can use <a href="https://docs.pytest.org/" class="external-link" target="_blank">pytest</a> directly with **FastAPI**. ## Using `TestClient` !!! info
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docs/en/docs/how-to/conditional-openapi.md
* Configure any required permissions and roles using dependencies. * Never store plaintext passwords, only password hashes. * Implement and use well-known cryptographic tools, like Passlib and JWT tokens, etc. * Add more granular permission controls with OAuth2 scopes where needed. * ...etc.
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docs/pt/docs/tutorial/background-tasks.md
seja executado pelo mesmo processo (por exemplo, você não precisa compartilhar memória, variáveis, etc), você pode se beneficiar do uso de outras ferramentas maiores, como <a href="http://www.celeryproject.org/" class="external-link" target="_blank"> Celery </a>. Eles tendem a exigir configurações mais complexas, um gerenciador de fila de mensagens/tarefas, como RabbitMQ ou Redis, mas permitem que você execute tarefas em segundo plano em vários processos e, especialmente, em vários servidores....
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docs/de/docs/tutorial/background-tasks.md
unbedingt vom selben Prozess ausgeführt werden müssen (z. B. müssen Sie Speicher, Variablen, usw. nicht gemeinsam nutzen), könnte die Verwendung anderer größerer Tools wie z. B. <a href="https://docs.celeryq.dev" class="external-link" target="_blank">Celery</a> von Vorteil sein. Sie erfordern in der Regel komplexere Konfigurationen und einen Nachrichten-/Job-Queue-Manager wie RabbitMQ oder Redis, ermöglichen Ihnen jedoch die Ausführung von Hintergrundtasks in mehreren Prozessen und insbesondere...
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