Skip to main content

Simple DataPipeline Library

Project description

aksdp

Overview

A simple framework for writing data pipelines in Python

INSTALL

$ pip install aksdp

QuickStart

class TaskA(Task):
   def main(self, ds):
      return ds

class TaskB(Task):
   ...

class TaskC(Task):
   ...

class TaskD(Task):
   ...

graph = Graph()
task_a = graph.append(TaskA())
task_b = graph.append(TaskB(), [task_a])
task_c = graph.append(TaskC(), [task_b])
task_d = graph.append(TaskD(), [task_b, task_c])
graph.run()

Each task runs after each dependent task completes.
Also, the data output upstream can be received as input data and processed.

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

aksdp-0.0.1.post6.tar.gz (13.4 kB view hashes)

Uploaded Source

Built Distribution

aksdp-0.0.1.post6-py3-none-any.whl (20.4 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