bluesky-kafka 0.4.0

Kafka integration for bluesky.

Kafka integration for bluesky.

• Free software: 3-clause BSD license

Features

• BlueskyConsumer

• MongoConsumer

• Publisher

• RemoteDispatcher

Release History

v0.3.0 (2020-09-03)

• added BlueskyConsumer

• added MongoConsumer

• added supervisor configuration file for mongo_normalized_consumer.py

• rewrote RemoteDispatcher to use BlueskyConsumer

• changed default serialization method to MessagePack

v0.4.0 (2021-04-09)

• added continue_polling parameter to BlueskyConsumer.start()

• added utils.py

• added BlueskyKafkaException

• split tests into multiple files

• create and clean up topics for each test

• simplified produce/consume tests to run in one process

• configured live logging in pytest.ini

• switched from travis to github for continuous integration

Test

Install docker and docker-compose.

Start a Kafka server:

$ cd bluesky-kafka/scripts
$ sudo docker-compose -f bitnami-kafka-docker-compose.yml up

Run tests:

$ cd bluesky-kafka
$ pytest

Optionally increase logging output to the console by specifying a logging level:

$ pytest --log-cli-level=DEBUG

Run a Mongo Consumer Group

Create a conda environment:

$ conda create -n consumers python=3.8
$ conda activate consumers

Install packages:

$ pip install bluesky-kafka supervisor

Setup environment variables: mongo_uri reference: https://docs.mongodb.com/manual/reference/connection-string/ bootstrap_servers: comma-separated list of brokers.

$ export BLUESKY_MONGO_URI="mongodb://username:password@machine1:port1,machine2:port2,machine3:port3
$ export KAFKA_BOOTSTRAP_SERVERS="machine1:9092, machine2:9092, machine3:9092"

Update the bluesky_kafka/supervisor/supervisord.conf file with the correct path for your installation.

Start the consumer processes:

$ supervisord -c bluesky_kafka/supervisor/supervisord.conf

Monitor the consumer processes:

$ supervisorctl -c bluesky_kafka/supervisor/supervisorctl.conf