This release is a pre-release and may not be stable for production use.
benzene-kafka
Host Benzene Python handlers on Apache Kafka —
a self-hosted consumer and a Kafka-produce outbound client — the same handlers, no rewrite. Depends
only on benzene-core.
pip install benzene-kafka # the binding + testing helpers
pip install "benzene-kafka[kafka]" # + confluent-kafka for the real clients
from benzene.core import application_from, build_application
from benzene.kafka import KafkaConsumerApp, KafkaMessageSender, run_consumer_loop
# Inbound: one record -> one pipeline invocation -> one scope; ack/log, no reply.
definition, _ = build_application(OrdersStartUp)
app = KafkaConsumerApp(application_from(definition))
await run_consumer_loop(app, consumer) # consumer: a confluent_kafka.Consumer
# Outbound: publish to a Kafka topic, Benzene topic carried in the `topic` header.
sender = KafkaMessageSender("orders-events", bootstrap_servers="localhost:9092")
await sender.send_message("orders:created", order, headers={"x-correlation-id": "abc"})
- Consumer — the Benzene topic comes from the record's
topicheader (the cross-port convention); the other Kafka headers are the Benzene headers (UTF-8), the value is the JSON body. One record is one scope; there is no response channel, so the result is acknowledge/log only —run_consumer_loopcommits the offset on success (at-least-once) and leaves a failed record for redelivery. A poison record can never crash the loop. - Outbound —
KafkaMessageSenderimplements thebenzene.core.MessageSenderport overconfluent-kafka(optional extra), forwarding the header dictionary onto the record's Kafka headers so correlation/trace propagation rides across the hop.
The binding is duck-typed against confluent-kafka, so decode, dispatch, and send are exercised in
memory with fakes — no broker, no SDK. Test through benzene.kafka.testing (a native-record builder +
a test host) or the shared harness (create_test_host(StartUp).build_kafka() + send_kafka) — see the
runnable examples/kafka_orders/. Mirrors .NET's Benzene.Kafka.Core, and contributes the
benzene.kafka subpackage to the shared benzene namespace.
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