## 2. Run Distributed MinIO on Docker Compose

- github.com/gkampitakis/go-diff: [v1.3.2](https://github.com/gkampitakis/go-diff/tree/v1.3.2)
- github.com/gkampitakis/go-snaps: [v0.5.15](https://github.com/gkampitakis/go-snaps/tree/v0.5.15)
- github.com/goccy/go-yaml: [v1.18.0](https://github.com/goccy/go-yaml/tree/v1.18.0)
- github.com/joshdk/go-junit: [v1.0.0](https://github.com/joshdk/go-junit/tree/v1.0.0)
- github.com/maruel/natural: [v1.1.1](https://github.com/maruel/natural/tree/v1.1.1)

{* ../../docs_src/path_operation_advanced_configuration/tutorial007_py310.py hl[15:20, 22] *}

Obwohl wir nicht die standardmäßig integrierte Funktionalität verwenden, verwenden wir dennoch ein Pydantic-Modell, um das JSON-Schema für die Daten, die wir in YAML empfangen möchten, manuell zu generieren.

{* ../../docs_src/path_operation_advanced_configuration/tutorial007_py310.py hl[15:20, 22] *}

Попри те, що ми не використовуємо типову вбудовану функціональність, ми все одно використовуємо модель Pydantic, щоб вручну згенерувати Схему JSON для даних, які хочемо отримати у форматі YAML.

{* ../../docs_src/path_operation_advanced_configuration/tutorial007_py310.py hl[15:20, 22] *}

Néanmoins, bien que nous n’utilisions pas la fonctionnalité intégrée par défaut, nous utilisons toujours un modèle Pydantic pour générer manuellement le JSON Schema pour les données que nous souhaitons recevoir en YAML.

import java.util.Iterator;

/**
 * A parent class for transformations that are backed by a feature. This will inject the necessary "feature" into the
 * global setup and teardown section. See also org.elasticsearch.test.rest.yaml.Features for a list of possible features.
 */
public abstract class FeatureInjector implements RestTestTransformGlobalSetup, RestTestTransformGlobalTeardown {

- On Operator based MinIO deployments, you need to modify the `tenant.yaml` specification and modify the `pools:` section from two entries to a single entry. After making relevant changes, proceed to execute `kubectl apply -f tenant.yaml`.

{* ../../docs_src/path_operation_advanced_configuration/tutorial007_py310.py hl[15:20, 22] *}

Buna rağmen, varsayılan entegre işlevselliği kullanmasak da, YAML olarak almak istediğimiz veri için JSON Schema’yı manuel üretmek üzere bir Pydantic model kullanmaya devam ediyoruz.

#!/bin/bash

helm package helm/minio -d helm-releases/

{* ../../docs_src/path_operation_advanced_configuration/tutorial007_py310.py hl[15:20, 22] *}

Тем не менее, хотя мы не используем встроенную функциональность по умолчанию, мы всё равно используем Pydantic-модель, чтобы вручную сгенерировать JSON Schema для данных, которые мы хотим получить в YAML.