**FastAPI** 为了开发者方便提供了该对象. 但其实它直接来自于 Starlette.

///

### 在 `response` 的前和后

在任何*路径操作*收到`request`前,可以添加要和请求一起运行的代码.

也可以在*响应*生成但是返回之前添加代码.

例如你可以添加自定义请求头 `X-Process-Time` 包含以秒为单位的接收请求和生成响应的时间:

{* ../../docs_src/middleware/tutorial001.py hl[10,12:13] *}

## 其他中间件

你可以稍后在 [Advanced User Guide: Advanced Middleware](../advanced/middleware.md){.internal-link target=_blank}阅读更多关于中间件的教程.

	fi

	if ! pkill minio; then
		fail
	fi

	sleep 1
	if pgrep minio; then
		# forcibly killing, to proceed further properly.
		if ! pkill -9 minio; then
			echo "no minio process running anymore, proceed."
		fi
	fi
}

function check_heal() {
	if ! grep -q 'API:' ${WORK_DIR}/dist-minio-*.log; then
		return 1
	fi

	for ((i = 0; i < 20; i++)); do

# How to configure Prometheus AlertManager

Alerting with prometheus is two step process. First we setup alerts in Prometheus server and then we need to send alerts to the AlertManager.

        decodedName.decode(decodeBuffer);

        // Verify the decoded data matches
        assertEquals(translatedName.sid_type, decodedName.sid_type);
        // The decode process doesn't preserve the original length, it reads from the buffer
        assertNotNull(decodedName.name);
        assertNotNull(decodedName.name.buffer);
        // Buffer length is based on maximum_length/2 from the encoded data

 *
 * The task runner is also responsible for releasing held threads when the library is unloaded.
 * This is for the benefit of container environments that implement code unloading.
 *
 * Most applications should share a process-wide [TaskRunner] and use queues for per-client work.
 */
class TaskRunner(
  val backend: Backend,
  internal val logger: Logger = TaskRunner.logger,
) : Lockable {
  private var nextQueueName = 10000

    checkArgument(isFinite(x1) && isFinite(y1));
    return new LinearTransformationBuilder(x1, y1);
  }

  /**
   * This is an intermediate stage in the construction process. It is returned by {@link
   * LinearTransformation#mapping}. You almost certainly don't want to keep instances around, but
   * instead use method chaining. This represents a single point mapping, i.e. a mapping between one

 * (or {@link FluentFuture#transform(com.google.common.base.Function, Executor)
 * FluentFuture.transform}), but you will often find it easier to use a framework. Frameworks
 * automate the process, often adding features like monitoring, debugging, and cancellation.
 * Examples of frameworks include:
 *
 * <ul>
 *   <li><a href="https://dagger.dev/producers.html">Dagger Producers</a>
 * </ul>
 *

    this.backingThreadFactory = checkNotNull(backingThreadFactory);
    return this;
  }

  /**
   * Returns a new thread factory using the options supplied during the building process. After
   * building, it is still possible to change the options used to build the ThreadFactory and/or
   * build again. State is not shared amongst built instances.
   *

             Logs:

     <span style="background-color:#007166"><font color="#D3D7CF"> INFO </font></span>  Started server process <b>[</b><font color="#34E2E2"><b>2306215</b></font><b>]</b>
     <span style="background-color:#007166"><font color="#D3D7CF"> INFO </font></span>  Waiting for application startup.

# OpenAPI Callbacks { #openapi-callbacks }

You could create an API with a *path operation* that could trigger a request to an *external API* created by someone else (probably the same developer that would be *using* your API).