Wenn Sie dann eine Instanz dieser `Settings`-Klasse erstellen (in diesem Fall als `settings`-Objekt), liest Pydantic die Umgebungsvariablen ohne Berücksichtigung der Groß- und Kleinschreibung. Eine Variable `APP_NAME` in Großbuchstaben wird also als Attribut `app_name` gelesen.

            <manifest xmlns:android="http://schemas.android.com/apk/res/android">

                <application android:label="@string/app_name" >
                    <activity
                        android:name=".${appActivity}"
                        android:label="@string/app_name" >
                        <intent-filter>
                            <action android:name="android.intent.action.MAIN" />

                package="org.gradle.android.example.app">

                <application android:label="@string/app_name" >
                    <activity
                        android:name=".AppActivity"
                        android:label="@string/app_name" >
                        <intent-filter>
                            <action android:name="android.intent.action.MAIN" />

Then, when you create an instance of that `Settings` class (in this case, in the `settings` object), Pydantic will read the environment variables in a case-insensitive way, so, an upper-case variable `APP_NAME` will still be read for the attribute `app_name`.

Next it will convert and validate the data. So, when you use that `settings` object, you will have data of the types you declared (e.g. `items_per_user` will be an `int`).

### Use the `settings`

import java.util.List;
import java.util.Map;
import java.util.concurrent.CancellationException;
import java.util.concurrent.atomic.AtomicReference;

public class DistributionInstaller {
    private static final String APP_NAME = "Gradle Tooling API";
    private static final InternalBuildProgressListener NO_OP = new NoOpListener();
    private final ProgressLoggerFactory progressLoggerFactory;

然后，它将转换和验证数据。因此，当您使用该 `settings` 对象时，您将获得您声明的类型的数据（例如 `items_per_user` 将为 `int` 类型）。

### 使用 `settings`

然后，您可以在应用程序中使用新的 `settings` 对象：

```Python hl_lines="18-20"
{!../../../docs_src/settings/tutorial001.py!}
```

### 运行服务器

接下来，您将运行服务器，并将配置作为环境变量传递。例如，您可以设置一个 `ADMIN_EMAIL` 和 `APP_NAME`，如下所示：

<div class="termy">

                    {
                        "name": "DEPLOYMENT_ENVIRONMENT",
                        "value": "cats-stubbed-functional"
                    },
                    {
                        "name": "APP_NAME",
                        "value": "cats"
                    }
                ],
                "resources": {
                    "limits": {
                        "cpu": "1",

set FESS_PARAMS=-Dfess;-Dfess.home="%FESS_HOME%";-Dfess.es.dir="%SEARCH_ENGINE_HOME%";-Dfess.home="%FESS_HOME%";-Dfess.context.path="/";-Dfess.port=8080;-Dfess.webapp.path="%FESS_HOME%\app";-Dfess.temp.path="%FESS_HOME%\temp";-Dfess.log.name="%APP_NAME%";-Dfess.log.path="%FESS_HOME%\logs";-Dfess.log.level=warn;-Dlasta.env=web;-Dtomcat.config.path=tomcat_config.properties

set JVM_OPTS=-XX:+UseG1GC%FESS_JAVA_OPTS: =;%

if "%FESS_START_TYPE%" == "" set FESS_START_TYPE=manual

'apiVersion: v1
kind: Config
users:
- name: APP_NAME
  user:
    token: APP_TOKEN
clusters:
- name: local
  cluster:
    server: https://APISERVER_ADDRESS
    certificate-authority-data: CA_CERT
contexts:
- context:
    cluster: local
    user: APP_NAME
  name: service-account-context
current-context: service-account-context'.`
  replace('APP_NAME', $Name).`
  replace('APP_TOKEN', $Token).`