return new GeoInfo(request);
    }

    /**
     * The search request type.
     */
    public enum SearchRequestType {
        /** Search request type. */
        SEARCH,
        /** Admin search request type. */
        ADMIN_SEARCH,
        /** JSON request type. */
        JSON,
        /** GSA request type. */
        GSA,
        /** Suggest request type. */
        SUGGEST;

        }
      }

    // Make the first request waiting until we get our auth challenge.
    val request = Request(server.url("/"))
    blockingAuthClient.newCall(request).enqueue(callback)
    val response1 = responses.take()
    assertThat(response1).isEqualTo("")
    assertThat(server.takeRequest().exchangeIndex).isEqualTo(0)

Então utilizamos a requisição diretamente, e extraímos o corpo como `bytes`. Isso significa que o FastAPI não vai sequer tentar analisar o corpo da requisição como JSON.

E então no nosso código, nós analisamos o conteúdo YAML diretamente, e estamos utilizando o mesmo modelo Pydantic para validar o conteúdo YAML:

//// tab | Pydantic v2

        Set<WorkspaceReader> workspaceReaders = new LinkedHashSet<>();
        // 1) Reactor workspace reader
        WorkspaceReader reactorReader = lookup.lookup(WorkspaceReader.class, ReactorReader.HINT);
        workspaceReaders.add(reactorReader);
        // 2) Repository system session-scoped workspace reader (contains ide and exec request reader)
        for (WorkspaceReader repoWorkspaceReader : chainedWorkspaceReader.getReaders()) {

        PopularWordsRequest request = new PopularWordsRequest();
        request.setIndex("test-index");
        request.addTag("tag1");
        request.addRole("role1");
        request.addField("field1");
        request.addLanguage("ja");
        request.addExcludeWord("exclude");
        request.setQueryFreqThreshold(5);

        assertNotNull(request.buildQuery());
    }

    @Test

	}
	debugln := func(args ...any) {
		if debug {
			fmt.Println(args...)
		}
	}
	// Inject random reader/writer sleeps.
	const maxSleep = int(1 * time.Millisecond)
	doSleep := !testing.Short()
	rb := New(4 << 10).SetBlocking(true)

	// Reader
	var readErr error
	var wg sync.WaitGroup
	wg.Add(1)
	go func() {
		readRng := rand.New(rand.NewSource(1))
		defer wg.Done()

     *
     * @param request the multi-search request
     * @return a future for the multi-search response
     */
    @Override
    public ActionFuture<MultiSearchResponse> multiSearch(final MultiSearchRequest request) {
        return client.multiSearch(request);
    }

    /**
     * Executes a multi-search request asynchronously with a callback.
     *

          localPort = 80,
        ),
      )
    val requestLine = decodeRequestLine("CONNECT example.com:8080 HTTP/1.1")
    val request = RecordedRequest(requestLine, headers, emptyList(), 0, ByteString.EMPTY, 0, 0, socket)
    assertThat(request.target).isEqualTo("example.com:8080")
    assertThat(request.url.toString()).isEqualTo("http://example.com:8080/")
  }

  @Test fun testAbsoluteForm() {
    val socket =
      MockWebServerSocket(

				CalculatedSHA256: "88d4266fd4e6338d13b845fcf289579d209c897823b9217da3e161936f031589",
			},
		},

		// Input with size more than the size of actual data inside the reader.
		8: {
			bucketName: bucket, objName: object, inputData: []byte("abcd"),
			inputMeta: map[string]string{"etag": "e2fc714c4727ee9395f324cd2e7f331e"}, inputDataSize: int64(len("abcd") + 1),

        setProcessPlugins(request.isProcessPlugins());
        setTwoPhaseBuilding(request.isTwoPhaseBuilding());
        setLocationTracking(request.isLocationTracking());
        setProfiles(request.getProfiles());
        setActiveProfileIds(request.getActiveProfileIds());
        setInactiveProfileIds(request.getInactiveProfileIds());
        setSystemProperties(request.getSystemProperties());
        setUserProperties(request.getUserProperties());