Então, você pode adicionar dados extras para o esquema gerado automaticamente.

Por exemplo, você poderia optar por ler e validar a requisição com seu próprio código, sem utilizar funcionalidades automatizadas do FastAPI com o Pydantic, mas você ainda pode quere definir a requisição no esquema OpenAPI.

Você pode fazer isso com `openapi_extra`:

lor:var(--bs-form-valid-color)}.valid-tooltip{position:absolute;top:100%;z-index:5;display:none;max-width:100%;padding:.25rem .5rem;margin-top:.1rem;font-size:.875rem;color:#fff;background-color:var(--bs-success);border-radius:var(--bs-border-radius)}.is-valid~.valid-feedback,.is-valid~.valid-tooltip,.was-validated :valid~.valid-feedback,.was-validated :valid~.valid-tooltip{display:block}.form-control.is-valid,.was-validated .form-control:valid{border-color:var(--bs-form-valid-border-color);padd...

/** Returns true if this string is not a host name and might be an IP address. */
fun String.canParseAsIpAddress(): Boolean = VERIFY_AS_IP_ADDRESS.matches(this)

/**
 * Returns true if the length is not valid for DNS (empty or greater than 253 characters), or if any
 * label is longer than 63 characters. Trailing dots are okay.
 */
internal fun String.containsInvalidLabelLengths(): Boolean {
  if (length !in 1..253) return true

        getMultiset().setCount(e0(), 1, 5));
    expectContents(nCopies(3, e0()));
  }

  /*
   * TODO: test that unmodifiable multisets either throw UOE or return false
   * when both are valid options. Currently we test the UOE cases and the
   * return-false cases but not their intersection
   */

    Random random = new Random();
    for (int i = 0; i < 100; i++) {
      byte[] bytes = new byte[64];
      random.nextBytes(bytes);
      String s = new String(bytes, UTF_16LE); // so all random strings are valid
      assertEquals(
          new TestHasher().putUnencodedChars(s).hash(),
          new TestHasher().putBytes(s.getBytes(UTF_16LE)).hash());
      assertEquals(
          new TestHasher().putUnencodedChars(s).hash(),

      }
    }

    return result.readUtf8()
  }

  /**
   * Converts a single label from Punycode to Unicode.
   *
   * @return true if the range of [string] from [pos] to [limit] was valid and decoded successfully.
   *     Otherwise, the decode failed.
   */
  private fun decodeLabel(
    string: String,
    pos: Int,
    limit: Int,
    result: Buffer,
  ): Boolean {

    void testReadString() throws Exception {
        ByteArrayOutputStream baos = new ByteArrayOutputStream();
        DataOutputStream dos = new DataOutputStream(baos);

        // Write a valid string structure
        String testString = "TEST";
        int totalChars = testString.length();
        writeLittleEndianInt(dos, totalChars); // totalChars
        writeLittleEndianInt(dos, 0); // unusedChars

	stsPolicy                 = "Policy"
	stsToken                  = "Token"
	stsRoleArn                = "RoleArn"
	stsWebIdentityToken       = "WebIdentityToken"
	stsWebIdentityAccessToken = "WebIdentityAccessToken" // only valid if UserInfo is enabled.
	stsDurationSeconds        = "DurationSeconds"
	stsLDAPUsername           = "LDAPUsername"
	stsLDAPPassword           = "LDAPPassword"
	stsRevokeTokenType        = "TokenRevokeType"

     * so we only verify its acceptance here.
     */
    @Test
    void testConstructor() {
        // The constructor should not throw any exceptions with valid inputs.
        new DosFileFilter("*.*", SmbFile.ATTR_ARCHIVE);
        new DosFileFilter("?", SmbFile.ATTR_DIRECTORY);
        new DosFileFilter("file.txt", SmbFile.ATTR_READONLY | SmbFile.ATTR_HIDDEN);
    }

    /**

# Checks TFCI_BAZEL_COMMON_ARGS for "gpu" or "cuda", implying that the test is
# relevant. All of the GPU test machines have CUDA installed via other means,
# so I am not sure how to verify that the dependencies themselves are valid for
# the moment.
if [[ "$TFCI_BAZEL_COMMON_ARGS" =~ gpu|cuda ]]; then
  echo "Checking to make sure tensorflow[and-cuda] is installable..."