<div class="wrapper">
    <jsp:include page="/WEB-INF/view/common/admin/header.jsp"></jsp:include>
    <jsp:include page="/WEB-INF/view/common/admin/sidebar.jsp">
        <jsp:param name="menuCategoryType" value="log"/>
        <jsp:param name="menuType" value="searchLog"/>
    </jsp:include>
    <div class="content-wrapper">
        <div class="content-header">
            <div class="container-fluid">

    }

    @Override
    public Map<String, String> getConfigParameterMap(final ConfigName name) {
        if (configParameterMap == null) {
            configParameterMap = ParameterUtil.createConfigParameterMap(getConfigParameter());
        }

        final Map<String, String> configMap = configParameterMap.get(name);
        if (configMap == null) {
            return Collections.emptyMap();
        }

Você deve ter percebido que para criar um instância de uma classe em Python, a mesma sintaxe é utilizada.

Por exemplo:

```Python
class Cat:
    def __init__(self, name: str):
        self.name = name


fluffy = Cat(name="Mr Fluffy")
```

Nesse caso,  `fluffy` é uma instância da classe `Cat`.

E para criar `fluffy`, você está "chamando" `Cat`.

Então, uma classe Python também é "chamável".

## Classes as dependencies { #classes-as-dependencies_1 }

You might notice that to create an instance of a Python class, you use that same syntax.

For example:

```Python
class Cat:
    def __init__(self, name: str):
        self.name = name


fluffy = Cat(name="Mr Fluffy")
```

In this case, `fluffy` is an instance of the class `Cat`.

And to create `fluffy`, you are "calling" `Cat`.

     */
    private String ntlmDomain;

    /**
     * Return proxy server host name.
     *
     * @return proxy server host name
     */
    public String getHost() {
        return host;
    }

    /**
     * Set proxy host name.
     *
     * @param host proxy server host name
     */
    public void setHost(String host) {
        this.host = host;
    }

    /**

In diesem Fall erwartet **FastAPI** einen Body wie:

```JSON hl_lines="2"
{
    "item": {
        "name": "Foo",
        "description": "The pretender",
        "price": 42.0,
        "tax": 3.2
    }
}
```

statt:

```JSON
{
    "name": "Foo",
    "description": "The pretender",
    "price": 42.0,
    "tax": 3.2
}
```

## Zusammenfassung

So, it will then use the parameter names as keys (field names) in the body, and expect a body like:

```JSON
{
    "item": {
        "name": "Foo",
        "description": "The pretender",
        "price": 42.0,
        "tax": 3.2
    },
    "user": {
        "username": "dave",

//       name: NAME # match object names that satisfy the wildcard expression.
//       olderThan: 70h # match objects older than this value
//       createdBefore: "2006-01-02T15:04:05.00Z" # match objects created before "date"
//       tags:
//         - key: name
//           value: pick* # match objects with tag 'name', all values starting with 'pick'
//       metadata:

def main(user_id: str):
    return user_id


# Un modèle Pydantic
class User(BaseModel):
    id: int
    name: str
    joined: date
```
Qui peuvent ensuite être utilisés comme cela:

```Python
my_user: User = User(id=3, name="John Doe", joined="2018-07-19")

second_user_data = {
    "id": 4,
    "name": "Mary",
    "joined": "2018-11-30",
}

my_second_user: User = User(**second_user_data)
```

/// info

  - Attribute, add a new attribute `Key` is `policy`, `Value` is name of the `policy` on MinIO (ex: `readwrite`)
  - Add and Save

- Go to Clients
  - Click on `account`
  - Settings, set `Valid Redirect URIs` to `*`, expand `Advanced Settings` and set `Access Token Lifespan` to `1 Hours`
  - Save

- Go to Clients
  - Click on `account`
  - Mappers
  - Create
    - `Name` with any text
    - `Mapper Type` is `User Attribute`