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docs/en/docs/advanced/behind-a-proxy.md
{!../../../docs_src/behind_a_proxy/tutorial002.py!} ``` Passing the `root_path` to `FastAPI` would be the equivalent of passing the `--root-path` command line option to Uvicorn or Hypercorn. ### About `root_path` Keep in mind that the server (Uvicorn) won't use that `root_path` for anything else than passing it to the app.
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docs/en/docs/tutorial/response-model.md
## Return Type and Data Filtering Let's continue from the previous example. We wanted to **annotate the function with one type** but return something that includes **more data**. We want FastAPI to keep **filtering** the data using the response model.
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docs/ru/docs/tutorial/path-params.md
```Python hl_lines="18 21 23" {!../../../docs_src/path_params/tutorial005.py!} ``` Вы отправите клиенту такой JSON-ответ: ```JSON { "model_name": "alexnet", "message": "Deep Learning FTW!" } ``` ## Path-параметры, содержащие пути Предположим, что есть *операция пути* с путем `/files/{file_path}`.
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docs/fr/docs/tutorial/path-params.md
```Python hl_lines="18 21 23" {!../../../docs_src/path_params/tutorial005.py!} ``` Le client recevra une réponse JSON comme celle-ci : ```JSON { "model_name": "alexnet", "message": "Deep Learning FTW!" } ``` ## Paramètres de chemin contenant des chemins Disons que vous avez une *fonction de chemin* liée au chemin `/files/{file_path}`.
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docs/en/docs/advanced/generate-clients.md
We already know that this method is related to the **items** because that word is in the `ItemsService` (taken from the tag), but we still have the tag name prefixed in the method name too. 😕 We will probably still want to keep it for OpenAPI in general, as that will ensure that the operation IDs are **unique**.
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docs/en/docs/contributing.md
## Developing If you already cloned the <a href="https://github.com/tiangolo/fastapi" class="external-link" target="_blank">fastapi repository</a> and you want to deep dive in the code, here are some guidelines to set up your environment. ### Virtual environment with `venv`
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docs/en/docs/alternatives.md
This decoupling of parts, and being a "microframework" that could be extended to cover exactly what is needed was a key feature that I wanted to keep. Given the simplicity of Flask, it seemed like a good match for building APIs. The next thing to find was a "Django REST Framework" for Flask. !!! check "Inspired **FastAPI** to"
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docs/en/docs/deployment/concepts.md
### We Make Mistakes We, as humans, make **mistakes**, all the time. Software almost *always* has **bugs** hidden in different places. 🐛 And we as developers keep improving the code as we find those bugs and as we implement new features (possibly adding new bugs too 😅). ### Small Errors Automatically Handled
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docs/de/docs/tutorial/path-params.md
!!! tip "Tipp" Falls Sie sich fragen, was „AlexNet“, „ResNet“ und „LeNet“ ist, das sind Namen von <abbr title="Genau genommen, Deep-Learning-Modellarchitekturen">Modellen</abbr> für maschinelles Lernen. ### Deklarieren Sie einen *Pfad-Parameter* Dann erstellen Sie einen *Pfad-Parameter*, der als Typ die gerade erstellte Enum-Klasse hat (`ModelName`):
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docs/en/docs/tutorial/bigger-applications.md
``` ## `APIRouter` Let's say the file dedicated to handling just users is the submodule at `/app/routers/users.py`. You want to have the *path operations* related to your users separated from the rest of the code, to keep it organized. But it's still part of the same **FastAPI** application/web API (it's part of the same "Python Package"). You can create the *path operations* for that module using `APIRouter`. ### Import `APIRouter`
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