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docs/en/docs/alternatives.md
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docs/en/docs/tutorial/first-steps.md
If you are curious about how the raw OpenAPI schema looks like, FastAPI automatically generates a JSON (schema) with the descriptions of all your API. You can see it directly at: <a href="http://127.0.0.1:8000/openapi.json" class="external-link" target="_blank">http://127.0.0.1:8000/openapi.json</a>. It will show a JSON starting with something like: ```JSON { "openapi": "3.1.0", "info": { "title": "FastAPI",
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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/contributing.md
!!! tip You can <a href="https://help.github.com/en/github/collaborating-with-issues-and-pull-requests/commenting-on-a-pull-request" class="external-link" target="_blank">add comments with change suggestions</a> to existing pull requests.
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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/deployment/versions.md
You can create production applications with **FastAPI** right now (and you have probably been doing it for some time), you just have to make sure that you use a version that works correctly with the rest of your code. ## Pin your `fastapi` version
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