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stream and pipeline processing service

Project description

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Service and framework for creating and running processing pipelines for data streams, events and chunks. Pipelines of pypelined are composed from individual elements using the chainlet library. They are built in Python configuration files, from custom objects or pre-defined plugins.

import chainlet
from pypelined.conf import pipelines

@chainlet.funclet
def add_time(chunk):
    chunk['tme'] = time.time()
    return chunk

process_chain = Socket(10331) >> decode_json() >> stop_if(lambda value: value.get('rcode') == 0) >> \
    add_time() >> Telegraf(address=('localhost', 10332), name='chunky')
pipelines.append(process_chain)

Once running, pypelined drives all its processing pipelines in an event driven fashion.

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