amgi-kafka-event-source-mapping 0.43.0

Kafka event source mapping adaptor for AMGI applications

amgi-kafka-event-source-mapping

amgi-kafka-event-source-mapping is an adaptor for AMGI applications to run in a Kafka event source mapped environment.

Installation

pip install amgi-kafka-event-source-mapping==0.43.0

Example

This example uses AsyncFast:

from dataclasses import dataclass

from amgi_kafka_event_source_mapping import KafkaEventSourceMappingHandler
from asyncfast import AsyncFast

app = AsyncFast()


@dataclass
class Order:
    item_ids: list[str]


@app.channel("orders")
async def orders(order: Order) -> None:
    # Makes an order
    ...


handler = KafkaEventSourceMappingHandler(app)

What it does

• Converts Kafka batch events into AMGI message.receive events
• Uses the Kafka topic name as the AMGI message address
• Supports partial batch failures so only failed records are reported
• Sends outbound messages to Kafka using an async producer
• Outbound messages are sent via the same Kafka broker (bootstrap servers) that the records were received from
• Optionally manages application startup and shutdown via AMGI lifespan

Record handling

• Record values and keys are passed to your app as bytes
• Kafka record headers become AMGI headers
• Records are only acknowledged when your app emits message.ack
• Records that emit message.nack or are not acknowledged are treated as failures

Nack handling

By default, records that are negatively acknowledged, or not acknowledged are logged:

handler = KafkaEventSourceMappingHandler(app, on_nack="log")

To fail the invocation when any record is nacked, configure the handler to raise an error instead:

handler = KafkaEventSourceMappingHandler(app, on_nack="error")

This is useful when running in environments where a failed invocation should trigger a retry, or alert.

When using this mode, handlers must be idempotent. Kafka event source mappings may re-deliver records after failures, restarts, or rebalances, and your application logic should be safe to execute more than once for the same record.

Lifespan

Lifespan support is enabled by default.

• Startup runs once per Lambda execution environment
• Shutdown is attempted when the environment is terminated

Shutdown handling relies on signal.SIGTERM, which is supported by Python 3.12 and later Lambda runtimes.

To use fully stateless, per-invocation behavior, disable lifespan:

handler = KafkaEventSourceMappingHandler(app, lifespan=False)

Contact

For questions or suggestions, please contact [e-mail].

License

Copyright 2026 AMGI