BabelQueue for Python

Polyglot Queues, Simplified. Read and write the canonical BabelQueue message envelope from Python — so your Python services (AI/ML, data processing, …) exchange messages with Laravel, Symfony, Go, .NET and Node over one strict JSON format, on the broker you already run.

This is the framework-agnostic Python core: the wire-envelope codec, contracts, and dead-letter helpers — zero runtime dependencies (standard library only). The full standard is documented at babelqueue.com.

Installation

pip install babelqueue

Requires Python >=3.9.

Usage

from babelqueue import EnvelopeCodec

# Produce — build the canonical envelope and publish the JSON to your broker.
envelope = EnvelopeCodec.make("urn:babel:orders:created", {"order_id": 1042})
body = EnvelopeCodec.encode(envelope)        # -> UTF-8 JSON string
# redis.rpush("queues:orders", body)  /  channel.basic_publish(body=body, ...)

# Consume — decode a message produced by ANY BabelQueue SDK.
incoming = EnvelopeCodec.decode(body)
urn      = incoming["job"]          # "urn:babel:orders:created"
data     = incoming["data"]         # {"order_id": 1042}
trace_id = incoming["trace_id"]     # correlate across services

The envelope is identical to every other SDK's:

{
  "job": "urn:babel:orders:created",
  "trace_id": "…",
  "data": { "order_id": 1042 },
  "meta": { "id": "…", "queue": "default", "lang": "python", "schema_version": 1, "created_at": 1749132727000 },
  "attempts": 0
}

Typed messages (optional)

from babelqueue import EnvelopeCodec, PolyglotMessage

class OrderCreated:                      # structurally a PolyglotMessage
    def __init__(self, order_id: int):
        self.order_id = order_id
    def get_babel_urn(self) -> str:
        return "urn:babel:orders:created"
    def to_payload(self) -> dict:
        return {"order_id": self.order_id}

envelope = EnvelopeCodec.from_message(OrderCreated(1042), queue="orders")

Continue an existing trace by adding get_babel_trace_id(self) -> str | None (see HasTraceId), or pass trace_id= to EnvelopeCodec.make.

Dead-letter

from babelqueue import dead_letter

dlq = dead_letter.annotate(envelope, "failed", "orders", attempts=3, error="boom")
# publish `EnvelopeCodec.encode(dlq)` to the "orders.dlq" queue

Runtime — produce & consume

For an end-to-end app, use BabelQueue with a broker. Broker clients come via extras:

pip install "babelqueue[redis]"   # redis://
pip install "babelqueue[amqp]"    # amqp:// (RabbitMQ)

from babelqueue import BabelQueue

app = BabelQueue("redis://localhost:6379/0", queue="orders")
# or: BabelQueue("amqp://guest:guest@localhost:5672/", queue="orders")

@app.handler("urn:babel:orders:created")
def on_order_created(data, meta):       # AI/ML, data processing, anything
    print("order", data["order_id"])

# producer (any service, any language) …
app.publish("urn:babel:orders:created", {"order_id": 1042})

# worker
app.run()                               # consume forever (Ctrl-C to stop)

• Routing is by URN; the wire format is the canonical envelope, so this consumes messages produced by any BabelQueue SDK.
• Handlers receive (data, meta), or (data, meta, message) to get the full envelope (incl. trace_id).
• Retry & dead-letter: failures are retried up to max_attempts (bumping the envelope's attempts); enable dead_letter=True to quarantine exhausted messages on <queue>.dlq. on_unknown_urn = fail | delete | release | dead_letter.
• Transports: redis:// (reliable-queue pattern), amqp:// (RabbitMQ via pika, with the contract AMQP properties) and memory:// (in-process, great for tests/local). Bring your own by passing transport=....

Framework adapters — Celery & Django

Celery (pip install "babelqueue[celery]") — reuse your Celery app's broker for polyglot interop, and consume inbound messages as a Celery worker bootstep:

from babelqueue.celery import from_celery, install_worker

bq = from_celery(celery_app, queue="orders")    # runtime on Celery's broker
bq.publish("urn:babel:orders:created", {"order_id": 1042})

@bq.handler("urn:babel:orders:created")
def on_created(data, meta): ...

install_worker(celery_app, bq)                   # `celery worker` also drains URN messages

Django (pip install "babelqueue[django]") — add "babelqueue.django" to INSTALLED_APPS and configure a BABELQUEUE dict:

# settings.py
BABELQUEUE = {"broker_url": "redis://localhost:6379/0", "queue": "orders", "dead_letter": True}

from babelqueue.django import publish, get_app

publish("urn:babel:orders:created", {"order_id": 1042})   # in a view / signal

@get_app().handler("urn:babel:orders:created")            # register handlers at startup
def on_created(data, meta): ...

python manage.py babelqueue_worker --queue orders          # run the consumer

What's here

The codec/contracts/dead-letter (zero-dep core), the BabelQueue runtime (in-memory built in; Redis via [redis], RabbitMQ via [amqp]), and framework adapters for Celery ([celery]) and Django ([django]). Every layer speaks the one canonical envelope, so it interoperates with the PHP/Laravel, Symfony, Go, Node and .NET SDKs.

Testing

pip install -e ".[dev]"
pytest
# (or, dependency-free) python -m unittest discover -s tests

License

MIT © Muhammet Şafak. See LICENSE.