client.newCall(request).execute().use {
      assertThat(it.protocol).isEqualTo(Protocol.HTTP_2)
      assertThat(it.handshake!!.tlsVersion).isEqualTo(TlsVersion.TLS_1_3)
    }
  }

  @Test
  @Disabled
  fun testGoogle() {
    assumeNetwork()

    val request = Request.Builder().url("https://google.com/robots.txt").build()

    client.newCall(request).execute().use {

# Depuração { #debugging }

Você pode conectar o depurador no seu editor, por exemplo, com o Visual Studio Code ou PyCharm.

## Chamar `uvicorn` { #call-uvicorn }

Em sua aplicação FastAPI, importe e execute `uvicorn` diretamente:

{* ../../docs_src/debugging/tutorial001_py310.py hl[1,15] *}

### Sobre `__name__ == "__main__"` { #about-name-main }

        this.lifecycleDebugLogger = lifecycleDebugLogger;
        this.lifecycleTaskSegmentCalculator = lifecycleTaskSegmentCalculator;
        this.builders = builders;
    }

    @Override
    public void execute(MavenSession session) {
        eventCatapult.fire(ExecutionEvent.Type.SessionStarted, session, null);

        ReactorContext reactorContext = null;
        ProjectBuildList projectBuilds = null;

          .build()

      fun run() {
        val request = Request.Builder()
            .url("https://publicobject.com/robots.txt")
            .build()

        client.newCall(request).execute().use { response ->
          if (!response.isSuccessful) throw IOException("Unexpected code $response")

          for (certificate in response.handshake!!.peerCertificates) {

            SearchResponse response = client.prepareSearch(index)
                    .setQuery(queryBuilder)
                    .setSize(500)
                    .setScroll(settings.getScrollTimeout())
                    .execute()
                    .actionGet(settings.getSearchTimeout());
            String scrollId = response.getScrollId();
            try {
                while (scrollId != null) {

                .get("/_configsync/file")
                .param("fields", "path,@timestamp")
                .param("size", ComponentUtil.getFessConfig().getPageDictionaryMaxFetchSize())
                .execute()) {
            final Map<String, Object> contentMap = response.getContent(OpenSearchCurl.jsonParser());
            @SuppressWarnings("unchecked")

     * Show the index page.
     * @return The HTML response.
     */
    @Execute
    @Secured({ ROLE, ROLE + VIEW })
    public HtmlResponse index() {
        saveToken();
        return asListHtml();
    }

    /**
     * Upload a file.
     * @param form The upload form.
     * @return The HTML response.
     */
    @Execute
    @Secured({ ROLE })
    public HtmlResponse upload(final UploadForm form) {

  }

  private void parallelDrainQueue(int threadCount) {
    ExecutorService executor = Executors.newFixedThreadPool(threadCount);
    for (int i = 0; i < threadCount; i++) {
      executor.execute(() -> {
        try {
          drainQueue();
        } catch (Throwable e) {
          e.printStackTrace();
        }
      });
    }
    executor.shutdown();
  }

        .build()

    server.enqueue(MockResponse(body = "abc1"))
    server.enqueue(MockResponse(body = "abc2"))

    val request = Request(server.url("/"))

    client.newCall(request).execute().use { response ->
      assertEquals(200, response.code)
    }

    client.connectionPool.evictAll()
    assertEquals(0, client.connectionPool.connectionCount())

{* ../../docs_src/websockets_/tutorial001_py310.py hl[48:52] *}

Você pode receber e enviar dados binários, de texto e JSON.

## Tente { #try-it }

Coloque seu código em um arquivo `main.py` e então execute sua aplicação:

<div class="termy">

```console
$ fastapi dev

<span style="color: green;">INFO</span>:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
```

</div>