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docs/en/docs/advanced/dataclasses.md
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docs/en/docs/tutorial/static-files.md
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docs/en/docs/advanced/sub-applications.md
# Sub Applications - Mounts If you need to have two independent FastAPI applications, with their own independent OpenAPI and their own docs UIs, you can have a main app and "mount" one (or more) sub-application(s). ## Mounting a **FastAPI** application "Mounting" means adding a completely "independent" application in a specific path, that then takes care of handling everything under that path, with the _path operations_ declared in that sub-application.
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docs/en/docs/deployment/versions.md
Different versions of **FastAPI** will use a specific newer version of Starlette. So, you can just let **FastAPI** use the correct Starlette version. ## About Pydantic Pydantic includes the tests for **FastAPI** with its own tests, so new versions of Pydantic (above `1.0.0`) are always compatible with FastAPI. You can pin Pydantic to any version above `1.0.0` that works for you and below `2.0.0`. For example: ```txt
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docs/em/docs/advanced/security/oauth2-scopes.md
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docs/en/docs/tutorial/bigger-applications.md
* and from it, import the function `get_token_header`. That would refer to some package above `app/`, with its own file `__init__.py`, etc. But we don't have that. So, that would throw an error in our example. 🚨 But now you know how it works, so you can use relative imports in your own apps no matter how complex they are. 🤓 ### Add some custom `tags`, `responses`, and `dependencies`
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docs/en/docs/deployment/concepts.md
By considering these concepts, you will be able to **evaluate and design** the best way to deploy **your own APIs**. In the next chapters, I'll give you more **concrete recipes** to deploy FastAPI applications. But for now, let's check these important **conceptual ideas**. These concepts also apply to any other type of web API. 💡
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docs/en/docs/tutorial/response-model.md
## See it in the docs When you see the automatic docs, you can check that the input model and output model will both have their own JSON Schema: <img src="/img/tutorial/response-model/image01.png"> And both models will be used for the interactive API documentation: <img src="/img/tutorial/response-model/image02.png">
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docs/en/docs/advanced/openapi-webhooks.md
All the **logic** about how to register the URLs for webhooks and the code to actually send those requests is up to you. You write it however you want to in **your own code**. ## Documenting webhooks with **FastAPI** and OpenAPI
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docs/en/docs/how-to/nosql-databases-couchbase.md
### `UserInDB` model Now, let's create a `UserInDB` model. This will have the data that is actually stored in the database. We don't create it as a subclass of Pydantic's `BaseModel` but as a subclass of our own `User`, because it will have all the attributes in `User` plus a couple more: ```Python hl_lines="31-33" {!../../../docs_src/nosql_databases/tutorial001.py!} ``` !!! note
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