Além disso, criamos um `secret_name` para o hero, mas até agora estamos retornando ele em todos os lugares, isso não é muito **secreto**... 😅

Vamos corrigir essas coisas adicionando alguns **modelos extras**. Aqui é onde o SQLModel vai brilhar. ✨

### Criar Múltiplos Modelos { #create-multiple-models }

      new SecretKeySpec("secret key".getBytes(UTF_8), "HmacMD5");
  private static final SecretKey SHA1_KEY =
      new SecretKeySpec("secret key".getBytes(UTF_8), "HmacSHA1");
  private static final SecretKey SHA256_KEY =
      new SecretKeySpec("secret key".getBytes(UTF_8), "HmacSHA256");
  private static final SecretKey SHA512_KEY =
      new SecretKeySpec("secret key".getBytes(UTF_8), "HmacSHA512");

from typing import Annotated

from fastapi import Header, HTTPException


async def get_token_header(x_token: Annotated[str, Header()]):
    if x_token != "fake-super-secret-token":
        raise HTTPException(status_code=400, detail="X-Token header invalid")


async def get_query_token(token: str):
    if token != "jessica":

    return [pet1, pet2]


client = TestClient(app)


def test_filter_top_level_model():
    response = client.post(
        "/users", json={"email": "******@****.***", "password": "secret"}
    )
    assert response.json() == {"email": "******@****.***"}


def test_filter_second_level_model():
    response = client.get("/pets/1")
    assert response.json() == {
        "name": "Nibbler",

        env:
          ORG_GRADLE_PROJECT_mavenCentralUsername: ${{ secrets.SONATYPE_CENTRAL_USERNAME }}
          ORG_GRADLE_PROJECT_mavenCentralPassword: ${{ secrets.SONATYPE_CENTRAL_PASSWORD }}
          ORG_GRADLE_PROJECT_signingInMemoryKey: ${{ secrets.GPG_SECRET_KEY }}
          ORG_GRADLE_PROJECT_signingInMemoryKeyPassword: ${{ secrets.GPG_SECRET_PASSPHRASE }}

  validation:
    name: "Validation"

///

## Handle JWT tokens { #handle-jwt-tokens }

Import the modules installed.

Create a random secret key that will be used to sign the JWT tokens.

To generate a secure random secret key use the command:

<div class="termy">

```console
$ openssl rand -hex 32

09d25e094faa6ca2556c818166b7a9563b93f7099f6f0f4caa6cf63b88e8d3e7
```

    - name: Install GitHub Actions dependencies
      run: uv pip install -r requirements-github-actions.txt
    - name: Label Approved
      run: python ./scripts/label_approved.py
      env:
        TOKEN: ${{ secrets.GITHUB_TOKEN }}
        CONFIG: >
          {
            "approved-1":
              {
                "number": 1,
                "await_label": "awaiting-review"
              }

        run: uv pip install -r requirements-github-actions.txt
      - name: Update Topic Repos
        run: python ./scripts/topic_repos.py
        env:

    runs-on: ubuntu-latest
    env:
      ACTIONS_STEP_DEBUG: true
    steps:
    - name: Close Stale Issues
      uses: actions/stale@v8
      with:
        repo-token: ${{ secrets.GITHUB_TOKEN }}
        stale-issue-message: "This issue has been automatically marked as stale because it has been open 360 days with no activity. Remove stale label or comment or this will be closed in 180 days"

Pydantic models have a `.model_dump()` method that returns a `dict` with the model's data.

So, if we create a Pydantic object `user_in` like:

```Python
user_in = UserIn(username="john", password="secret", email="******@****.***")
```

and then we call:

```Python
user_dict = user_in.model_dump()
```