Skip to main content

Python Stream processing backed by Apache Kafka.

Project description

kaflow

Kafka streams topic processing in Python.

Test


kaflow is a simple framework that allows you to build Kafka streams processing aplications in Python with ease.

Some of the features offered by kaflow:

  • Dependency Injection system inspired by FastAPI and xpresso, and backed by di.
  • Automatic deserialization of incoming messages and serialization of outgoing messages. Supports popular formats like JSON, Avro or Protobuf.
  • Message validation thanks to pydantic.

Requirements

Python 3.8+

Installation

pip install kaflow

Example

from kaflow import Json, Kaflow
from pydantic import BaseModel


class UserClick(BaseModel):
    user_id: int
    url: str
    timestamp: int


app = Kaflow(name="AwesomeKakfaApp", brokers="localhost:9092")


@app.consume(topic="user_clicks", sink_topics=("user_clicks_json",))
async def consume_user_clicks(message: Json[UserClick]) -> Json[UserClick]:
    print("user click", message)
    return message


app.run()

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

kaflow-0.1.2.tar.gz (19.7 kB view hashes)

Uploaded Source

Built Distribution

kaflow-0.1.2-py3-none-any.whl (20.7 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page