# WebSockets

When defining WebSockets, you normally declare a parameter of type `WebSocket` and with it you can read data from the client and send data to it.

It is provided directly by Starlette, but you can import it from `fastapi`:

```python
from fastapi import WebSocket
```

/// tip

                            "description": "Successful Response",
                            "content": {"application/json": {"schema": {}}},
                        }
                    },
                    "summary": "Read Current User",
                    "operationId": "read_current_user_users_me_get",
                    "security": [{"APIKeyQuery": []}],
                }
            }
        },
        "components": {

                            "description": "Successful Response",
                            "content": {"application/json": {"schema": {}}},
                        }
                    },
                    "summary": "Read Current User",
                    "operationId": "read_current_user_users_me_get",
                    "security": [{"HTTPBase": []}],
                }
            }
        },
        "components": {

                            "description": "Successful Response",
                            "content": {"application/json": {"schema": {}}},
                        }
                    },
                    "summary": "Read Current User",
                    "operationId": "read_current_user_users_me_get",
                    "security": [{"HTTPDigest": []}],
                }
            }
        },
        "components": {

                            "description": "Successful Response",
                            "content": {"application/json": {"schema": {}}},
                        }
                    },
                    "summary": "Read Items",
                    "operationId": "read_items_items__get",
                    "security": [{"OAuth2AuthorizationCodeBearer": []}],
                }
            }
        },
        "components": {

# limitations under the License.
# ==============================================================================

name: cffconvert

on:
  push:
    paths:
      - CITATION.cff

permissions:
  contents: read

jobs:
  validate:
    if: github.repository == 'tensorflow/tensorflow' # Don't do this in forks
    name: "validate"
    runs-on: ubuntu-latest
    steps:
      - name: Check out a copy of the repository

    }
    body.awaitSuccess()
    assertThat(log.take()!!)
      .contains("StreamResetException: stream was reset: CANCEL")
  }

  /**
   * We delay sending the last byte of the request body 1500 ms. The 1000 ms read timeout should
   * only elapse 1000 ms after the request body is sent.
   */
  @Test
  fun headersReadTimeoutDoesNotStartUntilLastRequestBodyByteFire() {
    enableProtocol(Protocol.HTTP_2)
    server.enqueue(

    try (InputStream decodingStream = encoding.decodingStream(new StringReader(encoded))) {
      for (int i = 0; i < bytes.length; i++) {
        assertThat(decodingStream.read()).isEqualTo(bytes[i] & 0xFF);
      }
      assertThat(decodingStream.read()).isEqualTo(-1);
    }
  }

  public void testToString() {
    assertThat(base64().toString()).isEqualTo("BaseEncoding.base64().withPadChar('=')");

                                    }
                                }
                            },
                        },
                    },
                    "summary": "Read Items",
                    "operationId": "read_items_items__get",
                    "parameters": [
                        {
                            "required": True,

if [[ ! -f "/usr/local/include/$VERSION" ]]; then
  ln -sf /usr/include/$VERSION /usr/local/include/$VERSION
fi

# Install pip

wget --retry-connrefused --waitretry=1 --read-timeout=20 --timeout=15 --tries=5 https://bootstrap.pypa.io/get-pip.py
/usr/bin/$VERSION get-pip.py
/usr/bin/$VERSION -m pip install --no-cache-dir --upgrade pip

# Disable the cache dir to save image space, and install packages