X-Git-Url: https://git.madduck.net/etc/taskwarrior.git/blobdiff_plain/17c0b4c4fc697eaca97d43c8e40b3a69586fcfcb..1bdfe8ef75f37f2feb8a575204785d8901cf501b:/docs/index.rst?ds=sidebyside diff --git a/docs/index.rst b/docs/index.rst index 44ef469..6b9a6c3 100644 --- a/docs/index.rst +++ b/docs/index.rst @@ -84,7 +84,7 @@ Attributes of task objects are accessible through indices, like so:: >>> task['id'] 15 >>> task['due'] - datetime.datetime(2013, 12, 5, 0, 0) + datetime.datetime(2015, 2, 5, 0, 0, tzinfo=) >>> task['tags'] ['work', 'servers'] @@ -239,6 +239,105 @@ same Python object:: >>> task3 == task1 True +Accessing original values +------------------------- + +To access the saved state of the Task, use dict-like access using the +``original`` attribute: + + >>> t = Task(tw, description="tidy up") + >>> t.save() + >>> t['description'] = "tidy up the kitchen and bathroom" + >>> t['description'] + "tidy up the kitchen and bathroom" + >>> t.original['description'] + "tidy up" + +When you save the task, original values are refreshed to reflect the +saved state of the task: + + >>> t.save() + >>> t.original['description'] + "tidy up the kitchen and bathroom" + +Dealing with dates and time +--------------------------- + +Any timestamp-like attributes of the tasks are converted to timezone-aware +datetime objects. To achieve this, Tasklib leverages ``pytz`` Python module, +which brings the Olsen timezone databaze to Python. + +This shields you from annoying details of Daylight Saving Time shifts +or conversion between different timezones. For example, to list all the +tasks which are due midnight if you're currently in Berlin: + + >>> myzone = pytz.timezone('Europe/Berlin') + >>> midnight = myzone.localize(datetime(2015,2,2,0,0,0)) + >>> tw.tasks.filter(due__before=midnight) + +However, this is still a little bit tedious. That's why TaskWarrior object +is capable of automatic timezone detection, using the ``tzlocal`` Python +module. If your system timezone is set to 'Europe/Berlin', following example +will work the same way as the previous one: + + >>> tw.tasks.filter(due__before=datetime(2015,2,2,0,0,0)) + +You can also use simple dates when filtering: + + >>> tw.tasks.filter(due__before=date(2015,2,2)) + +In such case, a 00:00:00 is used as the time component. + +Of course, you can use datetime naive objects when initializing Task object +or assigning values to datetime atrributes: + + >>> t = Task(tw, description="Buy new shoes", due=date(2015,2,5)) + >>> t['due'] + datetime.datetime(2015, 2, 5, 0, 0, tzinfo=) + >>> t['due'] = date(2015,2,6,15,15,15) + >>> t['due'] + datetime.datetime(2015, 2, 6, 15, 15, 15, tzinfo=) + +However, since timezone-aware and timezone-naive datetimes are not comparable +in Python, this can cause some unexpected behaviour: + + >>> from datetime import datetime + >>> now = datetime.now() + >>> t = Task(tw, description="take out the trash now") + >>> t['due'] = now + >>> now + datetime.datetime(2015, 2, 1, 19, 44, 4, 770001) + >>> t['due'] + datetime.datetime(2015, 2, 1, 19, 44, 4, 770001, tzinfo=) + >>> t['due'] == now + Traceback (most recent call last): + File "", line 1, in + TypeError: can't compare offset-naive and offset-aware datetimes + +If you want to compare datetime aware value with datetime naive value, you need +to localize the naive value first: + + >>> from datetime import datetime + >>> from tasklib.task import local_zone + >>> now = local_zone.localize(datetime.now()) + >>> t['due'] = now + >>> now + datetime.datetime(2015, 2, 1, 19, 44, 4, 770001, tzinfo=) + >>> t['due'] == now + True + +Also, note that it does not matter whether the timezone aware datetime objects +are set in the same timezone: + + >>> import pytz + >>> t['due'] + datetime.datetime(2015, 2, 1, 19, 44, 4, 770001, tzinfo=) + >>> now.astimezone(pytz.utc) + datetime.datetime(2015, 2, 1, 18, 44, 4, 770001, tzinfo=) + >>> t['due'] == now.astimezone(pytz.utc) + True + + Working with annotations ------------------------ @@ -253,7 +352,7 @@ Annotations have only defined ``entry`` and ``description`` values:: >>> annotation = annotated_task['annotations'][0] >>> annotation['entry'] - datetime.datetime(2015, 1, 3, 21, 13, 55) + datetime.datetime(2015, 1, 3, 21, 13, 55, tzinfo=) >>> annotation['description'] u'Yeah, I am annotated!' @@ -309,6 +408,53 @@ To pass your own configuration, you just need to update this dictionary:: >>> tw.config.update({'hooks': 'off'}) # tasklib will not trigger hooks +Creating hook scripts +--------------------- + +From version 2.4.0, TaskWarrior has support for hook scripts. Tasklib provides +some very useful helpers to write those. With tasklib, writing these becomes +a breeze:: + + #!/usr/bin/python + + from tasklib.task import Task + task = Task.from_input() + # ... + print task.export_data() + +For example, plugin which would assign the priority "H" to any task containing +three exclamation marks in the description, would go like this:: + + #!/usr/bin/python + + from tasklib.task import Task + task = Task.from_input() + + if "!!!" in task['description']: + task['priority'] = "H" + + print task.export_data() + +Tasklib can automatically detect whether it's running in the ``on-modify`` event, +which provides more input than ``on-add`` event and reads the data accordingly. + +This means the example above works both for ``on-add`` and ``on-modify`` events! + +Consenquently, you can create just one hook file for both ``on-add`` and +``on-modify`` events, and you just need to create a symlink for the other one. +This removes the need for maintaining two copies of the same code base and/or +boilerplate code. + +In ``on-modify`` events, tasklib loads both the original version and the modified +version of the task to the returned ``Task`` object. To access the original data +(in read-only manner), use ``original`` dict-like attribute: + + >>> t = Task.from_input() + >>> t['description'] + "Modified description" + >>> t.original['description'] + "Original description" + Working with UDAs -----------------