* «/// note | Technical Details»: «/// note | Détails techniques»
* «/// note»: «/// note | Remarque»
* «/// tip»: «/// tip | Astuce»
* «/// warning»: «/// warning | Attention»
* «/// check»: «/// check | vérifier»
* «/// info»: «/// info»

* «the docs»: «les documents»

 * ranking scores to provide more comprehensive and accurate search results.
 *
 * The processor maintains a pool of searchers and an executor service for concurrent operations.
 * It implements rank fusion techniques to combine results from different search engines
 * and provides a unified search interface.
 */
public class RankFusionProcessor implements AutoCloseable {

* Security and authentication, including support for **OAuth2** with **JWT tokens** and **HTTP Basic** auth.
* More advanced (but equally easy) techniques for declaring **deeply nested JSON models** (thanks to Pydantic).
* **GraphQL** integration with <a href="https://strawberry.rocks" class="external-link" target="_blank">Strawberry</a> and other libraries.

* Security and authentication, including support for **OAuth2** with **JWT tokens** and **HTTP Basic** auth.
* More advanced (but equally easy) techniques for declaring **deeply nested JSON models** (thanks to Pydantic).
* **GraphQL** integration with <a href="https://strawberry.rocks" class="external-link" target="_blank">Strawberry</a> and other libraries.

You might want to have some predefined responses that apply to many *path operations*, but you want to combine them with custom responses needed by each *path operation*.

For those cases, you can use the Python technique of "unpacking" a `dict` with `**dict_to_unpack`:

```Python
old_dict = {
    "old key": "old value",
    "second old key": "second old value",
}
new_dict = {**old_dict, "new key": "new value"}
```

/// note

This is supported since FastAPI version `0.115.0`. 🤓

///

/// tip

This same technique applies to `Query`, `Cookie`, and `Header`. 😎

///

## Cookies with a Pydantic Model { #cookies-with-a-pydantic-model }

* Save the data to your DB.
* Return the updated model.

{* ../../docs_src/body_updates/tutorial002_py310.py hl[28:35] *}

/// tip

You can actually use this same technique with an HTTP `PUT` operation.

But the example here uses `PATCH` because it was created for these use cases.

///

/// note

Notice that the input model is still validated.

You can set `"json_schema_extra"` with a `dict` containing any additional data you would like to show up in the generated JSON Schema, including `examples`.

/// tip

You could use the same technique to extend the JSON Schema and add your own custom extra info.

For example you could use it to add metadata for a frontend user interface, etc.

///

/// info

You can also use `except` to catch the exception that was raised and do something with it.

For example, you can raise a different exception, like `HTTPException`.

/// tip

This is a somewhat advanced technique, and in most of the cases you won't really need it, as you can raise exceptions (including `HTTPException`) from inside of the rest of your application code, for example, in the *path operation function*.

* ♻️ Refactor and simplify dependencies data structures with dataclasses. PR [#12098](https://github.com/fastapi/fastapi/pull/12098) by [@tiangolo](https://github.com/tiangolo).

### Docs

* 📝 Add External Link: Techniques and applications of SQLAlchemy global filters in FastAPI. PR [#12109](https://github.com/fastapi/fastapi/pull/12109) by [@TheShubhendra](https://github.com/TheShubhendra).