tasklib is a Python library for interacting with taskwarrior databases, using a queryset API similar to that of Django’s ORM.
Supports Python 2.6, 2.7, 3.2, 3.3 and 3.4 with taskwarrior 2.1.x and above. Older versions of taskwarrior are untested and may not work.
Install via pip (recommended):
pip install tasklib
Or clone from github:
git clone https://github.com/robgolding63/tasklib.git
cd tasklib
python setup.py install
Optionally initialize the TaskWarrior instance with data_location (the database directory). If it doesn’t already exist, this will be created automatically unless create=False.
The default location is the same as taskwarrior’s:
>>> tw = TaskWarrior(data_location='~/.task', create=True)
tw.tasks is a TaskQuerySet object which emulates the Django QuerySet API. To get all tasks (including completed ones):
>>> tw.tasks.all()
Filter tasks using the same familiar syntax:
>>> tw.tasks.filter(status='pending', tags__contain='work')
['Upgrade Ubuntu Server']
Filter arguments are passed to the task command (__ is replaced by a period) so the above example is equivalent to the following command:
$ task status:pending tags.contain=work
Tasks can also be filtered using raw commands, like so:
>>> tw.tasks.filter('status:pending +work')
['Upgrade Ubuntu Server']
There are built-in functions for retrieving pending & completed tasks:
>>> tw.tasks.pending().filter(tags__contain='work')
['Upgrade Ubuntu Server']
>>> len(tw.tasks.completed())
227
Use get() to return the only task in a TaskQuerySet, or raise an exception:
>>> tw.tasks.filter(status='pending', tags__contain='work').get()
'Upgrade Ubuntu Server'
>>> tw.tasks.filter(status='pending', tags__contain='work').get(status='completed')
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "tasklib/task.py", line 224, in get
'Lookup parameters were {0}'.format(kwargs))
tasklib.task.DoesNotExist: Task matching query does not exist. Lookup parameters were {'status': 'completed'}
>>> tw.tasks.filter(status='pending', tags__contain='home').get()
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "tasklib/task.py", line 227, in get
'Lookup parameters were {1}'.format(num, kwargs))
ValueError: get() returned more than one Task -- it returned 2! Lookup parameters were {}
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "tasklib/task.py", line 227, in get
'Lookup parameters were {1}'.format(num, kwargs))
ValueError: get() returned more than one Task -- it returned 2! Lookup parameters were {}
Attributes of task objects are accessible through indices, like so:
>>> task = tw.tasks.pending().filter(tags__contain='work').get()
>>> task['description']
'Upgrade Ubuntu Server'
>>> task['id']
15
>>> task['due']
datetime.datetime(2013, 12, 5, 0, 0)
>>> task['tags']
['work', 'servers']
The following fields are deserialized into Python objects:
Attributes should be set using the correct Python representation, which will be serialized into the correct format when the task is saved.
After modifying one or more attributes, simple call save() to write those changes to the database:
>>> task = tw.tasks.pending().filter(tags__contain='work').get()
>>> task['due'] = datetime(year=2014, month=1, day=5)
>>> task.save()
To mark a task as complete, use done():
>>> task = tw.tasks.pending().filter(tags__contain='work').get()
>>> task.done()
>>> len(tw.tasks.pending().filter(tags__contain='work'))
0