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omni-box

Unified transactional messaging primitives for the Transactional Outbox and Transactional Inbox patterns in async Python services.

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[!TIP] Building this with an AI assistant? Hand it one page instead of the whole site: the public API surface, where the transactional boundary sits and what it guarantees, the rules that break code when they are broken — the commit you own, the deduplication window, the retry budget that does not apply to the consumer runner — the mistakes models actually make, and a map of which page to fetch for the rest. Every docs page is also served as raw Markdown at its own URL, and a Copy page button at the top of each one hands it straight to a chat window.

The library ships:

  • Domain entities (OutboxEvent, InboxEvent) and a OmniBoxDomainService factory.
  • Storage-agnostic repository protocols and a production-ready PostgreSQL implementation (SQLAlchemy 2 + asyncpg).
  • A composable pipeline (EventProcessorBuilder, EventBatchProcessor) with built-in steps for metrics, OpenTelemetry, DLQ, circuit breaker and inbox deduplication.
  • High-level orchestrators: OutboxPublisher (background publisher) and InboxConsumerRunner (broker consumer with configurable commit semantics).
  • A pure-aiokafka broker adapter (publisher and consumer).

The library does not provide a Unit-of-Work implementation. The transactional boundary that ties business state with the outbox row (or with the inbox row plus side effects) is owned by the calling service.

Requirements

  • Python 3.12+ (uses PEP 695 generics).
  • The core package only depends on pydantic, orjson, and structlog.

Installation

pip install omni-box

Optional extras (declared under [project.optional-dependencies] in pyproject.toml):

Extra Pulls in Used by
postgres sqlalchemy[asyncio], asyncpg omni_box.infra.storage.postgres
kafka aiokafka omni_box.infra.brokers.kafka
metrics prometheus-client omni_box.infra.metrics
opentelemetry opentelemetry-api, opentelemetry-sdk OpenTelemetryStep
settings pydantic-settings omni_box.contrib.settings
dishka dishka omni_box.contrib.dishka

Combine as needed, e.g. pip install "omni-box[postgres,kafka,metrics]".

Outbox Quick Start

from omni_box import OmniBoxDomainService, OutboxPublisher
from omni_box.core.converters import EnvelopeEventConverter
from omni_box.infra.brokers.kafka import KafkaEventPublisher
from omni_box.infra.storage.postgres import PostgresOutboxRepository

# 1. Persist the event in the same DB transaction as your business state.
domain = OmniBoxDomainService()
event = domain.create_outbox_event(
    aggregate_type="user",
    aggregate_id=user_id,
    event_type="user.created",
    topic="users.events",
    partition_key=str(user_id),
    payload={"email": "user@example.com"},
)

async with uow.transaction() as tx:        # your own UoW, not part of omni-box
    await tx.users.create(user)
    await tx.outbox.create(event)

# 2. A background worker reads pending rows and publishes them, in a transaction of
#    its own. Nothing in omni-box commits: the fetch, the lock, the publish and the
#    status update are one unit of work, and it is yours to open and commit.
broker = KafkaEventPublisher(producer=kafka_producer, converter=EnvelopeEventConverter())

while not shutdown:
    async with session_factory() as session, session.begin():   # the commit is yours
        repo = PostgresOutboxRepository(session, model_class=OutboxEventDB)
        result = await OutboxPublisher(repo, broker).publish_batch(
            worker_id="publisher-1",
            batch_size=100,
        )
    if not result.processed_event_ids:
        await asyncio.sleep(1.0)

Forget that transaction and nothing happened: the lock and the completion roll back with the session, the rows stay pending, and the next cycle publishes them again.

OutboxPublisher is defined in omni_box.application.services.publish. Under the hood it builds an EventBatchProcessor via create_outbox_processor, so you get fetch, lock, retry, metrics and (optionally) DLQ for free.

Inbox Quick Start

InboxConsumerRunner consumes from a broker and lands every message in the inbox table inside a transaction. The transaction is opened via a user-supplied InboxTransactionProviderProtocol, which yields an InboxEventRepository bound to the open session — this keeps the library free of any UoW.

from contextlib import asynccontextmanager
from collections.abc import AsyncIterator

from omni_box import AckStrategy, InboxConsumerRunner
from omni_box.core.protocols import InboxEventRepository
from omni_box.core.protocols.transaction import InboxTransactionProviderProtocol


class InboxTxProvider(InboxTransactionProviderProtocol):
    """Bridges your session/UoW to the runner."""

    def __init__(self, session_factory, repo_factory) -> None:
        self._session_factory = session_factory
        self._repo_factory = repo_factory

    @asynccontextmanager
    async def transaction(self) -> AsyncIterator[InboxEventRepository]:
        async with self._session_factory() as session, session.begin():
            yield self._repo_factory(session)


runner = InboxConsumerRunner(
    consumer=kafka_inbox_consumer,            # your EventConsumer adapter
    transaction_provider=InboxTxProvider(...),
    handler=handle_inbox_event,               # optional: process within the same tx
    worker_id="worker-1",
    consumer_group="identity-service",
    ack_strategy=AckStrategy.EXACTLY_ONCE_INBOX,
)

await runner.start()
try:
    await runner.run_forever()
finally:
    await runner.stop()

Commit semantics are configurable via ack_strategy (AT_MOST_ONCE, AT_LEAST_ONCE, EXACTLY_ONCE_INBOX) and commit_offset_policy (ON_PERSIST, ON_SUCCESS). See omni_box.application.services.consume for the full contract.

Public API

The package re-exports its stable surface from omni_box:

import omni_box
print(omni_box.__all__)
print(omni_box.__version__)

For detailed component reference see docs/api_reference.md.

Documentation

License

Apache 2.0 — see LICENSE.

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