aiosafeconsumer 0.0.6

Safely consume and process data.

aiosafeconsumer is a library that provides abstractions and some implementations to consume data somewhere and process it.

Features:

• Based on AsyncIO

• Type annotated

• Use logging with contextual information

Abstractions:

• DataSource - waits for data and returns batch of records using Python generator

• DataProcessor - accepts batch of records and precess it

• DataTransformer - accepts batch of records and transform it and calls another processor to precess it. Extends DataProcessor

• Worker - abstract worker. Do a long running task

• ConsumerWorker - connects DataSource and DataProcessor. Extends Worker

• DataWriter - base abstraction to perform data synchronization. Extends DataProcessor

Current implementations:

• KafkaSource - read data from Kafka

• RedisWriter - synchronize data in Redis

• ElasticsearchWriter - synchronize data in Elasticsearch

• WorkerPool - controller to setup and run workers in parallel. Can handle worker failures and restarts workers when it fails or exits.

Install:

pip install aiosafeconsumer

Install with Kafka:

pip install aiosafeconsumer[kafka]

Install with Redis:

pip install aiosafeconsumer[redis]

Install with Elasticsearch:

pip install aiosafeconsumer[elasticsearch]

Install with MongoDB:

pip install aiosafeconsumer[mongo]

Links:

• Producer library: https://github.com/lostclus/django-kafka-streamer

• Example application: https://github.com/lostclus/WeatherApp

TODO:

• PostgreSQL writer

• ClickHouse writer