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docs/en/docs/advanced/generate-clients.md
And it shows their true commitment to FastAPI and its **community** (you), as they not only want to provide you a **good service** but also want to make sure you have a **good and healthy framework**, FastAPI. 🙇 For example, you might want to try <a href="https://speakeasyapi.dev/?utm_source=fastapi+repo&utm_medium=github+sponsorship" class="external-link" target="_blank">Speakeasy</a>.
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docs/en/docs/async.md
```Python burgers = await get_burgers(2) ``` The key here is the `await`. It tells Python that it has to wait ⏸ for `get_burgers(2)` to finish doing its thing 🕙 before storing the results in `burgers`. With that, Python will know that it can go and do something else 🔀 ⏯ in the meanwhile (like receiving another request).
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docs/en/docs/deployment/concepts.md
## Previous Steps Before Starting There are many cases where you want to perform some steps **before starting** your application. For example, you might want to run **database migrations**. But in most cases, you will want to perform these steps only **once**. So, you will want to have a **single process** to perform those **previous steps**, before starting the application.
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docs_src/path_operation_advanced_configuration/tutorial007.py
"requestBody": { "content": {"application/x-yaml": {"schema": Item.model_json_schema()}}, "required": True, }, }, ) async def create_item(request: Request): raw_body = await request.body() try: data = yaml.safe_load(raw_body) except yaml.YAMLError: raise HTTPException(status_code=422, detail="Invalid YAML") try: item = Item.model_validate(data)
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docs/en/docs/advanced/dataclasses.md
As always, in FastAPI you can combine `def` and `async def` as needed. If you need a refresher about when to use which, check out the section _"In a hurry?"_ in the docs about [`async` and `await`](../async.md#in-a-hurry){.internal-link target=_blank}. 9. This *path operation function* is not returning dataclasses (although it could), but a list of dictionaries with internal data.
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docs/en/docs/tutorial/testing.md
{!../../../docs_src/app_testing/tutorial001.py!} ``` !!! tip Notice that the testing functions are normal `def`, not `async def`. And the calls to the client are also normal calls, not using `await`. This allows you to use `pytest` directly without complications. !!! note "Technical Details" You could also use `from starlette.testclient import TestClient`.
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docs/fr/docs/advanced/additional-responses.md
```Python hl_lines="18 22" {!../../../docs_src/additional_responses/tutorial001.py!} ``` !!! note "Remarque" Gardez à l'esprit que vous devez renvoyer directement `JSONResponse`. !!! info La clé `model` ne fait pas partie d'OpenAPI. **FastAPI** prendra le modèle Pydantic à partir de là, générera le `JSON Schema` et le placera au bon endroit. Le bon endroit est :
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docs/pl/docs/index.md
return {"item_id": item_id, "q": q} ``` <details markdown="1"> <summary>Albo użyj <code>async def</code>...</summary> Jeżeli twój kod korzysta z `async` / `await`, użyj `async def`: ```Python hl_lines="9 14" from typing import Union from fastapi import FastAPI app = FastAPI() @app.get("/") async def read_root():
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docs/ru/docs/index.md
return {"item_id": item_id, "q": q} ``` <details markdown="1"> <summary>Или используйте <code>async def</code>...</summary> Если ваш код использует `async` / `await`, используйте `async def`: ```Python hl_lines="9 14" from typing import Union from fastapi import FastAPI app = FastAPI() @app.get("/") async def read_root():
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docs/it/docs/index.md
def read_item(item_id: int, q: str = Optional[None]): return {"item_id": item_id, "q": q} ``` <details markdown="1"> <summary>Oppure usa <code>async def</code>...</summary> Se il tuo codice usa `async` / `await`, allora usa `async def`: ```Python hl_lines="7 12" from fastapi import FastAPI from typing import Optional app = FastAPI() @app.get("/") async def read_root():
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