And then they can try again knowing that it's probably something more similar to `stanleyjobsox` than to `johndoe`.

#### A "professional" attack

Of course, the attackers would not try all this by hand, they would write a program to do it, possibly with thousands or millions of tests per second. And they would get just one extra correct letter at a time.

* `limit`: with a value of `10`

As they are part of the URL, they are "naturally" strings.

But when you declare them with Python types (in the example above, as `int`), they are converted to that type and validated against it.

All the same process that applied for path parameters also applies for query parameters:

* Editor support (obviously)

///

## Dependencies errors and return values

You can use the same dependency *functions* you use normally.

### Dependency requirements

They can declare request requirements (like headers) or other sub-dependencies:

//// tab | Python 3.9+

```Python hl_lines="8  13"

{* ../../docs_src/security/tutorial005_an_py310.py hl[106,108:116] *}

## Verify the `username` and data shape

We verify that we get a `username`, and extract the scopes.

And then we validate that data with the Pydantic model (catching the `ValidationError` exception), and if we get an error reading the JWT token or validating the data with Pydantic, we raise the `HTTPException` we created before.

/// tip

Prefer to use the `Annotated` version if possible.

///

```Python hl_lines="7-9  13"
{!> ../../docs_src/request_form_models/tutorial001.py!}
```

////

**FastAPI** will **extract** the data for **each field** from the **form data** in the request and give you the Pydantic model you defined.

## Check the Docs

You can verify it in the docs UI at `/docs`:

<div class="screenshot">

To achieve this, the `:80`-backend must have a list of "allowed origins".

In this case, the list would have to include `http://localhost:8080` for the `:8080`-frontend to work correctly.

## Wildcards

 * Resolving is the process that clarifies the obligation (optional or mandatory status),
 * selects a particular version and downloads the artifact in the local repository.</p>
 *
 * <p>{@link org.apache.maven.api.Node} is the main output of the <dfn>dependency collection</dfn> process.
 * it's the graph of dependencies. The above-cited {@code Dependency} instances are the outputs of the

This is because it is expected that **your users** would define the actual **URL path** where they want to receive the webhook request in some other way (e.g. a web dashboard).

### Check the docs

Now that we have **multiple models**, we can update the parts of the app that use them.

We receive in the request a `HeroCreate` *data model*, and from it, we create a `Hero` *table model*.

This new *table model* `Hero` will have the fields sent by the client, and will also have an `id` generated by the database.

You can see those schemas because they were declared with the models in the app.

That information is available in the app's **OpenAPI schema**, and then shown in the API docs (by Swagger UI).

And that same information from the models that is included in OpenAPI is what can be used to **generate the client code**.

### Generate a TypeScript Client

Now that we have the app with the models, we can generate the client code for the frontend.