*/
    @Required
    @Min(value = 1)
    @Max(value = 2147483647)
    @ValidateTypeFailure
    public Integer numOfThread;

    /**
     * The interval time between requests in milliseconds.
     */
    @Required
    @Min(value = 0)
    @Max(value = 2147483647)
    @ValidateTypeFailure
    public Integer intervalTime;

    /**

///

/// note | 기술적 세부사항

`from starlette.requests import request`를 사용할 수도 있습니다.

**FastAPI**는 개발자에게 편의를 위해 이를 제공합니다. 그러나 Starlette에서 직접 파생되었습니다.

///

### `response`의 전과 후

*경로 작동*을 받기 전 `request`와 함께 작동할 수 있는 코드를 추가할 수 있습니다.

그리고 `response` 또한 생성된 후 반환되기 전에 코드를 추가 할 수 있습니다.

        while (running.get() && !serverSocket.isClosed()) {
            try {
                Socket clientSocket = serverSocket.accept();
                // In a real implementation, this would handle RPC requests
                // For the mock, we just accept connections and close them
                clientSocket.close();
            } catch (IOException e) {
                if (running.get()) {

import java.util.Objects;

import org.codelibs.fess.crawler.Constants;

/**
 * Represents a request data for crawling.
 * This class encapsulates the HTTP method, URL, and weight associated with a crawling request.
 */
public class RequestData {
    /**
     * HTTP methods supported for crawling requests.
     */
    public enum Method {
        /** HTTP GET method. */
        GET,
        /** HTTP POST method. */

Un "middleware" es una función que trabaja con cada **request** antes de que sea procesada por cualquier *path operation* específica. Y también con cada **response** antes de devolverla.

* Toma cada **request** que llega a tu aplicación.
* Puede entonces hacer algo a esa **request** o ejecutar cualquier código necesario.
* Luego pasa la **request** para que sea procesada por el resto de la aplicación (por alguna *path operation*).

  push:
    branches:
      - master
      
permissions: {}

jobs:
  create-issue-on-pr-rollback:
    runs-on: ubuntu-latest
    permissions:
      contents: read
      issues: write
      pull-requests: read
    if: |
      github.repository == 'tensorflow/tensorflow' &&
      startsWith(github.event.head_commit.message, 'Rollback of PR #')
    steps:
      - name: Checkout repo

     */
    public byte sflags;
    /**
     * Server flags2 field from the SMB header.
     */
    public int sflags2;
    /**
     * Maximum number of outstanding multiplex requests.
     */
    public int smaxMpxCount;
    /**
     * Maximum buffer size the server can handle.
     */
    public int maxBufferSize;
    /**
     * Session key for this connection.
     */

# Using Dataclasses { #using-dataclasses }

FastAPI is built on top of **Pydantic**, and I have been showing you how to use Pydantic models to declare requests and responses.

But FastAPI also supports using <a href="https://docs.python.org/3/library/dataclasses.html" class="external-link" target="_blank">`dataclasses`</a> the same way:

{* ../../docs_src/dataclasses/tutorial001.py hl[1,7:12,19:20] *}

Цей middleware обробляє два типи HTTP-запитів...

### Попередні CORS-запити (preflight requests)

Це будь-які `OPTIONS` - запити, що містять заголовки `Origin` та `Access-Control-Request-Method`.

У такому випадку middleware перехопить вхідний запит і відповість відповідними CORS-заголовками, повертаючи або `200`, або `400` для інформаційних цілей.

        digest.sign(data, 0, data.length, cancelRequest, null);

        verify(cancelRequest).setSignSeq(10);
        // Sequence should increment by 1 for cancel requests
    }

    @Test
    @DisplayName("Test sign method with null response")
    void testSignWithNullResponse() {
        SMB1SigningDigest digest = new SMB1SigningDigest(testMacSigningKey, false, 10);
        byte[] data = new byte[100];