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()
```

    runs-on: ubuntu-latest
    steps:
      - name: Get Secrets
        uses: gradle/actions-internal/get-aws-secrets@v1
        if: (github.event_name != 'pull_request' && github.repository_owner == 'gradle') || github.event.pull_request.head.repo.full_name == github.repository
        with:
          role-to-assume: arn:aws:iam::992382829881:role/GHASecrets_gradle_all
          secret-ids: |

        with:
          role-to-assume: arn:aws:iam::992382829881:role/GHASecrets_gradle_all
          aws-region: "eu-central-1"
      - name: get secrets
        uses: aws-actions/aws-secretsmanager-get-secrets@v2
        with:
          secret-ids: |
            PERFORMANCE_DB_URL, gha/gradle/_all/PERFORMANCE_DB_URL
            PERFORMANCE_DB_USERNAME, gha/gradle/_all/PERFORMANCE_DB_USERNAME

    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",

	type: TYPE # valid values are "minio"
	bucket: BUCKET
	prefix: PREFIX
	# NOTE: if source is remote then target must be "local"
	# endpoint: ENDPOINT
	# credentials:
	#   accessKey: ACCESS-KEY
	#   secretKey: SECRET-KEY
	#   sessionToken: SESSION-TOKEN # Available when rotating credentials are used

  # target where the objects must be replicated
  target:
	type: TYPE # valid values are "minio"
	bucket: BUCKET
	prefix: PREFIX

Wenn wir also ein Pydantic-Objekt `user_in` erstellen, etwa so:

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

und dann aufrufen:

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

У Pydantic-моделей есть метод `.dict()`, который возвращает `dict` с данными модели.

Поэтому, если мы создадим Pydantic-объект `user_in` таким способом:

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

и затем вызовем:

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

Os modelos Pydantic possuem um método `.dict()` que retorna um `dict` com os dados do modelo.

Então, se criarmos um objeto Pydantic `user_in` como:

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

e depois chamarmos:

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

        with:
          role-to-assume: arn:aws:iam::992382829881:role/GHASecrets_gradle_all
          aws-region: "eu-central-1"
      
      - name: Get secrets
        uses: aws-actions/aws-secretsmanager-get-secrets@v2
        with:
          secret-ids: |
            PERFORMANCE_DB_URL, gha/gradle/_all/PERFORMANCE_DB_URL
            PERFORMANCE_DB_USERNAME, gha/gradle/_all/PERFORMANCE_DB_USERNAME

### Configure Casdoor

- Go to Applications
  - Create or use an existing Casdoor application
  - Edit the application
    - Copy `Client ID` and `Client secret`
    - Add your redirect url (callback url) to `Redirect URLs`
    - Save

- Go to Users
  - Edit the user
    - Add your MinIO policy (ex: `readwrite`) in `Tag`
    - Save