vous n'avez pas besoin que ces traitements aient lieu dans le même process (par exemple, pas besoin de partager la mémoire, les variables, etc.), il peut s'avérer profitable d'utiliser des outils plus importants tels que <a href="https://docs.celeryq.dev" class="external-link" target="_blank">Celery</a>.

Ces outils nécessitent généralement des configurations plus complexes ainsi qu'un gestionnaire de queue de message, comme RabbitMQ ou Redis, mais ils permettent d'exécuter des tâches d'arrière-plan...

for the past five days please contact the security team directly:

- Primary security coordinator: ******@****.***
- Secondary coordinator: ******@****.***
- If you receive no response: dev@min.io

### Disclosure Process

MinIO uses the following disclosure process:

1. Once the security report is received one member of the security team tries to verify and reproduce

force_reload() {
    restart
}

rh_status() {
    # run checks to determine if the service is running or use generic status
    status -p $pidfile $prog
}

rh_status_q() {
    rh_status >/dev/null 2>&1
}


case "$1" in
    start)
        rh_status_q && exit 0
        $1
        ;;
    stop)
        rh_status_q || exit 0
        $1
        ;;
    restart)
        $1

  > "${ADDONS}/prometheus.yaml"

function compressDashboard() {
  < "${DASHBOARDS}/$1" jq -c  > "${TMP}/$1"
}

# Set up grafana
{
  # Generate all dynamic dashboards
  (
    pushd "${DASHBOARDS}" > /dev/null
    jb install
    for file in *.libsonnet; do
      dashboard="${file%.*}"
      jsonnet -J vendor -J lib "${file}" > "${dashboard}-dashboard.gen.json"
    done
  )
  helm3 template grafana grafana \

//// tab | Pydantic v2

In Pydantic version 2, you would use the attribute `model_config`, that takes a `dict` as described in <a href="https://docs.pydantic.dev/latest/api/config/" class="external-link" target="_blank">Pydantic's docs: Configuration</a>.

    <img src="https://github.com/fastapi/fastapi/workflows/Test/badge.svg?event=push&branch=master" alt="Test">
</a>
<a href="https://coverage-badge.samuelcolvin.workers.dev/redirect/fastapi/fastapi" target="_blank">
    <img src="https://coverage-badge.samuelcolvin.workers.dev/fastapi/fastapi.svg" alt="Coverage">
</a>
<a href="https://pypi.org/project/fastapi" target="_blank">

		}

		if !obj.IsLatest && !rule.NoncurrentVersionExpiration.IsDaysNull() {
			// Non current versions should be deleted if their age exceeds non current days configuration
			// https://docs.aws.amazon.com/AmazonS3/latest/dev/intro-lifecycle-rules.html#intro-lifecycle-rules-actions
			if expectedExpiry := ExpectedExpiryTime(obj.SuccessorModTime, int(rule.NoncurrentVersionExpiration.NoncurrentDays)); now.IsZero() || now.After(expectedExpiry) {

Perceba que isso significa que "`one_person` é uma **instância** da classe `Person`".

Isso não significa que "`one_person` é a **classe** chamada `Person`".

## Modelos Pydantic

O <a href="https://docs.pydantic.dev/" class="external-link" target="_blank">Pydantic</a> é uma biblioteca Python para executar a validação de dados.

Você declara a "forma" dos dados como classes com atributos.

E cada atributo tem um tipo.

这意味着从环境变量中在 Python 中读取的任何值都将是 `str` 类型，任何类型的转换或验证都必须在代码中完成。

## Pydantic 的 `Settings`

幸运的是，Pydantic 提供了一个很好的工具来处理来自环境变量的设置，即<a href="https://docs.pydantic.dev/latest/concepts/pydantic_settings/" class="external-link" target="_blank">Pydantic: Settings management</a>。

### 创建 `Settings` 对象

从 Pydantic 导入 `BaseSettings` 并创建一个子类，与 Pydantic 模型非常相似。

    <img src="https://github.com/fastapi/fastapi/workflows/Test/badge.svg?event=push&branch=master" alt="Test">
</a>
<a href="https://coverage-badge.samuelcolvin.workers.dev/redirect/fastapi/fastapi" target="_blank">
    <img src="https://coverage-badge.samuelcolvin.workers.dev/fastapi/fastapi.svg" alt="Coverage">
</a>
<a href="https://pypi.org/project/fastapi" target="_blank">