This is a python API for the taskwarrior command line tool.
It contains two implementations: taskw.TaskWarrior and taskw.TaskWarriorExperimental. The first implementation is relatively stable. It manipulates the ~/.task/ dbs directly. The second implementation is in alpha and will be made default some day. It interacts with taskwarrior by shelling out to taskwarrior import and export commands as per the upstream guidelines.
Build Status
Branch |
Status |
|---|---|
master |
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develop |
Getting taskw
Installing
Using taskw requires that you first install taskwarrior.
Installing it from http://pypi.python.org/pypi/taskw is easy with pip:
$ pip install taskw
The Source
You can find the source on github at http://github.com/ralphbean/taskw
Examples
Looking at tasks
>>> from taskw import TaskWarrior >>> w = TaskWarrior() >>> tasks = w.load_tasks() >>> tasks.keys() ['completed', 'pending'] >>> type(tasks['pending']) <type 'list'> >>> type(tasks['pending'][0]) <type 'dict'>Experimental mode
>>> from taskw import TaskWarriorExperimental >>> w = TaskWarriorExperimental() >>> tasks = w.load_tasks() >>> tasks.keys() ['completed', 'pending'] >>> type(tasks['pending']) <type 'list'> >>> type(tasks['pending'][0]) <type 'dict'>
Adding tasks
>>> from taskw import TaskWarrior
>>> w = TaskWarrior()
>>> w.task_add("Eat food")
>>> w.task_add("Take a nap", priority="H", project="life", due="1359090000")
Completing tasks
>>> from taskw import TaskWarrior >>> w = TaskWarrior() >>> w.task_done(46)
Being Flexible
You can point taskw at different taskwarrior databases.
>>> from taskw import TaskWarrior
>>> w = TaskWarrior(config_filename="~/some_project/.taskrc")
>>> w.task_add("Use 'taskw'.")
Looking at the config
>>> from taskw import TaskWarrior >>> w = TaskWarrior() >>> config = w.load_config() >>> config['data']['location'] '/home/threebean/.task' >>> config['_forcecolor'] 'yes'
2 maintainers
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