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docs/pt/docs/tutorial/background-tasks.md
Isso é útil para operações que precisam acontecer após uma solicitação, mas que o cliente realmente não precisa esperar a operação ser concluída para receber a resposta. Isso inclui, por exemplo: - Envio de notificações por email após a realização de uma ação:
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docs/pt/docs/tutorial/query-params-str-validations.md
## Lista de parâmetros de consulta / múltiplos valores Quando você declara explicitamente um parâmetro com `Query` você pode declará-lo para receber uma lista de valores, ou podemos dizer, que irá receber mais de um valor. Por exemplo, para declarar que o parâmetro `q` pode aparecer diversas vezes na URL, você escreveria: ```Python hl_lines="9"
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docs/de/docs/advanced/websockets.md
<img src="/img/tutorial/websockets/image05.png"> ## Verbindungsabbrüche und mehreren Clients handhaben Wenn eine WebSocket-Verbindung geschlossen wird, löst `await websocket.receive_text()` eine `WebSocketDisconnect`-Exception aus, die Sie dann wie in folgendem Beispiel abfangen und behandeln können. === "Python 3.9+" ```Python hl_lines="79-81"
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pyproject.toml
# TODO: remove after upgrading python-jose to a version that explicitly supports Python 3.12 # also, if it won't receive an update, consider replacing python-jose with some alternative # related issues: # - https://github.com/mpdavis/python-jose/issues/332 # - https://github.com/mpdavis/python-jose/issues/334
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docs/en/docs/fastapi-people.md
...But here I want to show you the community. --- **FastAPI** receives a lot of support from the community. And I want to highlight their contributions. These are the people that:
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docs/en/docs/deployment/concepts.md
Those worker processes would be the ones running your application, they would perform the main computations to receive a **request** and return a **response**, and they would load anything you put in variables in RAM. <img src="/img/deployment/concepts/process-ram.svg">
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docs/pt/docs/async.md
Para o `await` funcionar, tem que estar dentro de uma função que suporte essa assincronicidade. Para fazer isso, apenas declare a função com `async def`: ```Python hl_lines="1"
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docs/en/docs/release-notes.md
If you depended on exceptions not being received by dependencies with `yield`, and receiving an exception breaks the code after `yield`, you can use a block with `try` and `finally`: ```Python async def do_something(): try: yield something
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docs/en/docs/tutorial/encoder.md
Let's imagine that you have a database `fake_db` that only receives JSON compatible data. For example, it doesn't receive `datetime` objects, as those are not compatible with JSON. So, a `datetime` object would have to be converted to a `str` containing the data in <a href="https://en.wikipedia.org/wiki/ISO_8601" class="external-link" target="_blank">ISO format</a>.
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docs/en/docs/advanced/openapi-callbacks.md
} ``` and it would expect a response from that *external API* with a JSON body like: ```JSON { "ok": true } ``` !!! tip Notice how the callback URL used contains the URL received as a query parameter in `callback_url` (`https://www.external.org/events`) and also the invoice `id` from inside of the JSON body (`2expen51ve`). ### Add the callback router
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