Ce faisant, en quelques minutes ou heures, les attaquants devineraient le nom d'utilisateur et le mot de passe corrects, avec « l'aide » de notre application, simplement en se basant sur le temps de réponse.

labels.searchlog_log_type_search_count_hour=Nombre de recherches/heure
labels.searchlog_log_type_search_count_day=Nombre de recherches/jour
labels.searchlog_log_type_search_user_hour=Nombre d'utilisateurs/heure
labels.searchlog_log_type_search_user_day=Nombre d'utilisateurs/jour
labels.searchlog_log_type_search_reqtimeavg_hour=Temps de requête moyen/heure
labels.searchlog_log_type_search_reqtimeavg_day=Temps de requête moyen/jour

* "Add configuration...".
* Select "Python"
* Run the debugger with the option "`Python: Current File (Integrated Terminal)`".

It will then start the server with your **FastAPI** code, stop at your breakpoints, etc.

Here's how it might look:

<img src="/img/tutorial/debugging/image01.png">

---

If you use Pycharm, you can:

* Open the "Run" menu.
* Select the option "Debug...".
* Then a context menu shows up.

Aquí usamos la dependencia `SessionDep` (una `Session`) para añadir el nuevo `Hero` a la instance `Session`, comiteamos los cambios a la base de datos, refrescamos los datos en el `hero` y luego lo devolvemos.

### Leer Heroes { #read-heroes }

Podemos **leer** `Hero`s de la base de datos usando un `select()`. Podemos incluir un `limit` y `offset` para paginar los resultados.

## Order the parameters as you need, tricks { #order-the-parameters-as-you-need-tricks }

/// tip

This is probably not as important or necessary if you use `Annotated`.

///

Here's a **small trick** that can be handy, but you won't need it often.

If you want to:

* declare the `q` query parameter without a `Query` nor any default value
* declare the path parameter `item_id` using `Path`

# Repository Management

Here's a short description of how the FastAPI repository is managed and maintained.

## Owner

I, [@tiangolo](https://github.com/tiangolo), am the creator and owner of the FastAPI repository. 🤓

I normally give the final review to each PR before merging them. I make the final decisions on the project, I'm the [<abbr title="Benevolent Dictator For Life">BDFL</abbr>](https://en.wikipedia.org/wiki/Benevolent_dictator_for_life). 😅

Depending on your use case, you might prefer to use a different library, but if you asked me, I would probably suggest you try **Strawberry**.

Here's a small preview of how you could integrate Strawberry with FastAPI:

{* ../../docs_src/graphql_/tutorial001_py310.py hl[3,22,25] *}

* `Decimal`:
    * Standard Python `Decimal`.
    * In requests and responses, handled the same as a `float`.
* You can check all the valid Pydantic data types here: [Pydantic data types](https://docs.pydantic.dev/latest/usage/types/types/).

## Example { #example }

Here's an example *path operation* with parameters using some of the above types.

{* ../../docs_src/extra_data_types/tutorial001_an_py310.py hl[1,3,12:16] *}

 * RuntimeException}.
 *
 * <p>Here's an example that tests a {@code finalize} method:
 *
 * {@snippet :
 * final CountDownLatch latch = new CountDownLatch(1);
 * Object x = new MyClass() {
 *   ...
 *   protected void finalize() { latch.countDown(); ... }
 * };
 * x = null; // Hint to the JIT that x is stack-unreachable
 * GcFinalization.await(latch);
 * }
 *

 * RuntimeException}.
 *
 * <p>Here's an example that tests a {@code finalize} method:
 *
 * {@snippet :
 * final CountDownLatch latch = new CountDownLatch(1);
 * Object x = new MyClass() {
 *   ...
 *   protected void finalize() { latch.countDown(); ... }
 * };
 * x = null; // Hint to the JIT that x is stack-unreachable
 * GcFinalization.await(latch);
 * }
 *