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Python client for IronWorker

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README.md

iron_worker_python is Python language binding for IronWorker.

IronWorker is a massively scalable background processing system. See How It Works

Getting Started

Get credentials

To start using iron_worker_python, you need to sign up and get an oauth token.

  1. Go to http://iron.io/ and sign up.
  2. Get an OAuth Token at http://hud.iron.io/tokens

Install iron_worker_python

Just copy iron_worker.py and poster and include iron_worker.py in your script:

from iron_worker import *

Configure

Two ways to configure IronWorker:

  • Specifying options when constructing the binding:
worker = IronWorker(token='XXXXXXXXXX', project_id='xxxxxxxxxxx')
  • Passing an ini file name which stores your configuration options. Rename sample_config.ini to config.ini and include your Iron.io credentials (token and project_id):
worker = IronWorker(config='config.ini')

Creating a Worker

Here's an example worker:

print "Hello PYTHON World!\n"

Upload code to server

  • Zip worker:
# Zip single file:
IronWorker.createZip(destination="worker.zip", files=['HelloWorld.py'], overwrite=True)
# OR
# Zip whole directory:
IronWorker.zipDirectory(directory="hello_world/", destination='worker.zip', overwrite=True)
  • Submit worker:
res = worker.postCode(runFilename='HelloWorld.py', zipFilename='worker.zip', name='HelloWorld')

Where 'HelloWorld' is a worker name which should be used later for queueing and sheduling.

Queueing a Worker

task = worker.postTask(name='HelloWorld')

Worker should start in a few seconds.

Scheduling a Worker

If you want to run your code at a delay, you should schedule it:

If you want to run your code repeatedly, you can create a Scheduled Task:

# run every hour, five times in total
run_every = 60*60 # 60 seconds in a minute, 60 minutes in an hour
worker.postSchedule(name='HelloWorld', run_every=run_every, run_times=5)

Status of a Worker

To get the status of a worker, you can use the getTaskDetails() method.

task = worker.postTask('HelloWorld')
details = worker.getTaskDetails(task_id=task['tasks'][0]['id']);

print details['status'] # prints 'queued', 'complete', 'error' etc.

Get Worker Log

Use any function that print text inside your worker to put messages to log.

import time
task = worker.postTask('HelloWorld')
time.sleep(10)
details = worker.getTaskDetails(task['tasks'][0]['id'])
# Check log only if task is finished.
if details['status'] != 'queued':
    log = worker.getLog(task_id);
    print log # prints "Hello PHP World!"

Loading the Task Data Payload

To provide Payload to your worker simply put a dict with any content you want.

payload = {
    'key_one': 'Helpful text',
    'key_two': 2,
    'options': ['option 1', 'option 2']
}

worker.postTask(name='HelloWorld', payload=payload)

When your code is executed, it will be passed three program arguments:

  • -id - The task id.
  • -payload - the filename containing the data payload for this particular task.
  • -d - the user writable directory that can be used while running your job.

Full Documentation

You can find more documentation here:

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