Skip to main content
Help us improve PyPI by participating in user testing. All experience levels needed!

A simple API to run tasks in batch mode and track progress on CLI.

Project description

This small library provide an easy way to run some tasks in batch and track progress on the CLI.

An example of output you can get is the following:

[ 1/7 ] Put oil in the pan
[ ... ] ...
[ 2/7 ] Turn fire on
[ ... ] ...
[ 3/7 ] Break the egg
[ ... ] ...
[ 4/7 ] Put the egg in the pan
[ ... ] ...
[ 5/7 ] Wait the egg is cooked
[ ... ] ...
[ 6/7 ] Put the egg in the dish
[ ... ] ...
[ 7/7 ] Add salt to the egg and eat it!
[ ... ] ...

The module provide an api to define tasks and add them to a task engine:

cli = SimpleCli()
engine = TaskEngine(cli)

engine.addTask(Print("Put oil in the pan"))
engine.addTask(Print("Turn fire on"))
engine.addTask(Print("Break the egg"))
engine.addTask(Print("Put the egg in the pan"))
engine.addTask(Print("Wait the egg is cooked"))
engine.addTask(Print("Put the egg in the dish"))
engine.addTask(Print("Add salt to the egg and eat it!"))

engine.run()

In the example above Print is a class extending Task (defined in the module):

class Print(Task):
   "Simple Task: do nothing more than printing ..."

   def run(self, cli):
       cli.newMessage

In case a task fails the task engine stops immediately and return from the method run.

Project details


Release history Release notifications

This version
History Node

0.2

History Node

0.1

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Filename, size & hash SHA256 hash help File type Python version Upload date
batchcli-0.2.tar.gz (5.4 kB) Copy SHA256 hash SHA256 Source None Jan 4, 2013

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging CloudAMQP CloudAMQP RabbitMQ AWS AWS Cloud computing Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page