README.rst

This repository has been archived and is no longer supported—use it at your own risk. This repository may depend on out-of-date libraries with security issues, and security updates will not be provided. Pull requests against this repository will also not be merged.

edx-video-worker

Encode worker node for edx-video-pipeline

This is a rabbitMQ brokered, celery cluster running off of a specific formulaic CRF transcode, generated by the central (running django) node Commands are then passed back to the Django node and videos are routed to the appropriate delivery method. This worker

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Installation

python setup.py install

Usage

from command line:

video_worker

Python instantiate class:

VW = VideoWorker(
    veda_id = '${ID_STRING}'
    encode_profile = '${ENCODE_ID}'
    jobid='${JOB_ID}'
    )

Test (nose)

VW.test()

Celery Async

import celeryapp

veda_id='${ID_STRING}'
encode_profile='${ENCODE_ID}'
jobid='${JOB_ID}'

celeryapp.worker_task_fire.apply_async(
    (veda_id, encode_profile, jobid),
    queue='test_node'
    )

@yro / 2016