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centrifuge-python

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This is a WebSocket real-time SDK for Centrifugo server (and any Centrifuge-based server) on top of Python asyncio library.

[!TIP] If you are looking for Centrifugo server API client – check out pycent instead.

Before starting to work with this library check out Centrifugo client SDK API specification as it contains common information about Centrifugal real-time SDK behavior. This SDK supports all major features of Centrifugo client protocol - see SDK feature matrix.

Install

pip install centrifuge-python

Then in your code:

from centrifuge import Client

See example code and how to run it locally.

JSON vs Protobuf protocols

By default, SDK uses JSON protocol. If you want to use Protobuf protocol instead then pass use_protobuf=True option to Client constructor.

When using JSON protocol:

  • all payloads (data to publish, connect/subscribe data) you pass to the library are encoded to JSON internally using json.dumps before sending to server. So make sure you pass only JSON-serializable data to the library.
  • all payloads received from server are decoded to Python objects using json.loads internally before passing to your code.

When using Protobuf protocol:

  • all payloads you pass to the library must be bytes or None if optional. If you pass non-bytes data – exception will be raised.
  • all payloads received from the library will be bytes or None if not present.
  • don't forget that when using Protobuf protocol you can still have JSON payloads - just encode them to bytes before passing to the library.

Custom TLS configuration

When connecting to a wss:// endpoint the SDK uses the default TLS context of the ssl module – i.e. server certificates are verified against the system CA store. To customize TLS – for example to trust a custom CA – pass your own ssl.SSLContext as ssl_context option:

import ssl

ssl_ctx = ssl.create_default_context(cafile="/path/to/ca.pem")

client = Client(
    "wss://localhost:8000/connection/websocket",
    ssl_context=ssl_ctx,
)

The same option allows disabling certificate verification entirely – only do this for local development, never in production:

import ssl

ssl_ctx = ssl.create_default_context()
ssl_ctx.check_hostname = False
ssl_ctx.verify_mode = ssl.CERT_NONE

client = Client(
    "wss://localhost:8000/connection/websocket",
    ssl_context=ssl_ctx,
)

Connecting through a proxy

By default the proxy configuration is taken from the environment (WS_PROXY/WSS_PROXY, HTTP_PROXY/HTTPS_PROXY, honoring NO_PROXY). To set the proxy explicitly – use proxy option of Client constructor:

client = Client(
    "ws://localhost:8000/connection/websocket",
    proxy="http://user:pass@proxy-host:3128",
)

Pass proxy=None to always connect directly, ignoring the environment configuration.

SOCKS proxies (socks5://...) are supported too, but require the python-socks package to be installed:

pip install python-socks

Invalid proxy URLs and a missing python-socks package are reported as ValueError from the Client constructor, rather than in the middle of connecting.

A couple of things to keep in mind when going through a proxy:

  • with a wss:// address the proxy only sees the CONNECT host:port request – the WebSocket traffic inside the tunnel stays encrypted end to end, and the server certificate is still verified as usual. With a ws:// address the proxy sees everything, including the connection token.
  • credentials in an http:// proxy URL are sent to the proxy as a base64-encoded Proxy-Authorization header over an unencrypted connection. They are never forwarded to the Centrifugo server, but use an https:// proxy if the proxy connection itself may be observed.

Callbacks should not block

Event callbacks are called by SDK using await internally, the websocket connection read loop is blocked for the time SDK waits for the callback to be executed. This means that if you need to perform long operations in callbacks consider moving the work to a separate coroutine/task to return fast and continue reading data from the websocket.

The fact WebSocket read is blocked for the time we execute callbacks means that you can not call awaitable SDK APIs from callback – because SDK does not have a chance to read the reply. You will get OperationTimeoutError exception. The rule is the same - do the work asynchronously, for example use asyncio.ensure_future.

Callbacks should not raise

Callbacks are awaited as part of the SDK's own flow, and exceptions escaping them are not caught. Handle errors inside the callback – especially in on_error, which is often the place where something is reported to an external service: an exception raised there escapes while the SDK is handling a failed connection, and the client can be left in connecting state with no reconnect scheduled. The SDK logs such an exception through its centrifuge logger, and that log is the only sign of it – so keep an eye on error logs.

Run example

To run example, first start Centrifugo – the docker-compose.yml of this repo configures everything the example needs (it's the same server the tests use):

docker compose up

And then:

python -m venv env
. env/bin/activate
make dev
python example.py

Run tests

To run tests locally, start test Centrifugo server:

docker compose up

Then:

python -m venv env
. env/bin/activate
make dev
make test

Release files for centrifuge-python 0.6.0

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