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docs/en/docs/contributing.md
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docs/en/docs/advanced/async-tests.md
Then we can create an `AsyncClient` with the app, and send async requests to it, using `await`. ```Python hl_lines="9-10" {!../../../docs_src/async_tests/test_main.py!} ``` This is the equivalent to: ```Python response = client.get('/') ``` ...that we used to make our requests with the `TestClient`. !!! tip Note that we're using async/await with the new `AsyncClient` - the request is asynchronous.
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docs/en/docs/how-to/graphql.md
* <a href="https://strawberry.rocks/" class="external-link" target="_blank">Strawberry</a> 🍓 * With <a href="https://strawberry.rocks/docs/integrations/fastapi" class="external-link" target="_blank">docs for FastAPI</a> * <a href="https://ariadnegraphql.org/" class="external-link" target="_blank">Ariadne</a>
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docs/en/docs/advanced/behind-a-proxy.md
## Additional servers !!! warning This is a more advanced use case. Feel free to skip it. By default, **FastAPI** will create a `server` in the OpenAPI schema with the URL for the `root_path`. But you can also provide other alternative `servers`, for example if you want *the same* docs UI to interact with a staging and production environments.
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docs/en/docs/advanced/dataclasses.md
## Dataclasses in Nested Data Structures You can also combine `dataclasses` with other type annotations to make nested data structures. In some cases, you might still have to use Pydantic's version of `dataclasses`. For example, if you have errors with the automatically generated API documentation. In that case, you can simply swap the standard `dataclasses` with `pydantic.dataclasses`, which is a drop-in replacement:
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docs/en/docs/tutorial/path-params.md
So, you can use it with: ```Python hl_lines="6" {!../../../docs_src/path_params/tutorial004.py!} ``` !!! tip You could need the parameter to contain `/home/johndoe/myfile.txt`, with a leading slash (`/`). In that case, the URL would be: `/files//home/johndoe/myfile.txt`, with a double slash (`//`) between `files` and `home`. ## Recap
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docs/en/docs/deployment/manually.md
Nevertheless, Uvicorn is currently only compatible with asyncio, and it normally uses <a href="https://github.com/MagicStack/uvloop" class="external-link" target="_blank">`uvloop`</a>, the high-performance drop-in replacement for `asyncio`. But if you want to directly use **Trio**, then you can use **Hypercorn** as it supports it. ✨ ### Install Hypercorn with Trio First you need to install Hypercorn with Trio support: <div class="termy">
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docs/en/docs/tutorial/testing.md
Import `TestClient`. Create a `TestClient` by passing your **FastAPI** application to it. Create functions with a name that starts with `test_` (this is standard `pytest` conventions). Use the `TestClient` object the same way as you do with `httpx`. Write simple `assert` statements with the standard Python expressions that you need to check (again, standard `pytest`). ```Python hl_lines="2 12 15-18"
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docs/en/docs/advanced/generate-clients.md
You can see those schemas because they were declared with the models in the app. That information is available in the app's **OpenAPI schema**, and then shown in the API docs (by Swagger UI). And that same information from the models that is included in OpenAPI is what can be used to **generate the client code**. ### Generate a TypeScript Client Now that we have the app with the models, we can generate the client code for the frontend.
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docs/en/docs/tutorial/response-model.md
#### Data with values for fields with defaults But if your data has values for the model's fields with default values, like the item with ID `bar`: ```Python hl_lines="3 5" { "name": "Bar", "description": "The bartenders", "price": 62, "tax": 20.2 } ``` they will be included in the response. #### Data with the same values as the defaults
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