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OneOpen Broker

A lightweight, Python-native, single-node message broker with first-class Celery support, durable task queues, Pub/Sub, and built-in monitoring — without Redis or RabbitMQ.

OneOpen Broker is not a Redis, RabbitMQ, or Kafka replacement. Those products solve broader problems. V1 is a focused broker for single-server Python applications talking to multiple Celery workers.

Install

pip install oneopen-broker

Celery support:

pip install "oneopen-broker[celery]"

Start the broker

oneopen-broker start

Default listen address: 127.0.0.1:6380.

oneopen-broker start --host 127.0.0.1 --port 6380 --data-dir ./data

Celery

import oneopen_broker  # registers the oneopen:// Kombu transport
from celery import Celery

app = Celery("myapp", broker="oneopen://127.0.0.1:6380")
celery -A myapp worker --concurrency=4

Native client

from oneopen_broker import AsyncBroker

broker = AsyncBroker("127.0.0.1", 6380)
await broker.connect()
await broker.publish(queue="gpu", payload=b"...")

message = await broker.consume("gpu")
try:
    await process(message.payload)
    await message.ack()
except Exception:
    await message.nack(requeue=True)

Pub/Sub is ephemeral: disconnected subscribers miss messages published while they are away.

async for event in broker.subscribe("events"):
    print(event.payload)

Delivery semantics

V1 provides at-least-once delivery. Consumers must tolerate duplicates after crashes or ambiguous acknowledgements. Exactly-once delivery is not claimed.

Durability

Persistence is an append-only file plus periodic snapshots. No external database.

persistence.fsync Guarantee
always Publish/ACK responses wait until the record is fsync'd
everysec (default) Responses return after the in-memory commit; disk is fsync'd at most once per second. Up to about one second of acknowledged work may be lost on a crash
none OS page cache only; fastest, weakest

Inflight messages at broker crash are recovered as deliverable (ACK was not proven).

Configuration

YAML file, environment variables (ONEOPEN_*), and CLI flags. See oneopen-broker start --help.

server:
  host: 127.0.0.1
  port: 6380
persistence:
  directory: ./data
  fsync: everysec
  snapshot_interval: 300
queues:
  default_visibility_timeout: 300
  default_max_attempts: 3
network:
  max_connections: 10000
  max_frame_size: 16777216
pubsub:
  subscriber_buffer: 1000
security:
  tls:
    enabled: false
  auth:
    enabled: false

Monitoring

oneopen-broker stats
oneopen-broker queues
oneopen-broker queue gpu_tasks
oneopen-broker consumers
oneopen-broker channels
oneopen-broker dlq gpu_tasks
oneopen-broker top

The CLI talks to the broker over the same protocol as clients. It does not read memory or persistence files.

Security

V1 is intended for private networks. Bind to localhost by default. Optionally require a token and TLS:

security:
  tls:
    enabled: true
    certfile: /etc/oneopen/server.crt
    keyfile: /etc/oneopen/server.key
    cafile: /etc/oneopen/ca.crt
    require_client_cert: false
  auth:
    enabled: true
    users:
      - name: app
        token: change-me
        role: producer
      - name: worker
        token: change-me-too
        role: consumer
      - name: ops
        token: change-me-admin
        role: admin

Roles: admin, producer, consumer, subscriber, monitor.

oneopen-broker start --auth-token "$ONEOPEN_AUTH_TOKEN" --tls-cert server.crt --tls-key server.key
oneopen-broker stats --token "$ONEOPEN_AUTH_TOKEN"
broker = AsyncBroker("127.0.0.1", 6380, token="change-me", ssl=True, ssl_cafile="ca.crt")

Celery (token in the URL password; empty user):

app = Celery("myapp", broker="oneopen://:change-me@127.0.0.1:6380")

Credentials are compared with a timing-safe digest and are never logged. Auth is off unless you enable it, so existing local setups keep working.

Requirements

  • Python 3.11+
  • One process, one asyncio event loop, one server

V1 does not cluster, replicate, or speak the Redis protocol.

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