Parse human-readable date/time strings.
Python 2.6 or greater is required for parsedatetime version 1.0 or greater.
While we still test with Python 2.6 we cannot guarantee that future changes will not break under 2.6
You can install parsedatetime using:
pip install parsedatetime
From the source directory:
To run tests on several python versions, type
$ make tox [... tox creates a virtualenv for every python version and runs tests inside of each] py27: commands succeeded py35: commands succeeded
This assumes that you have the versions you want to test under installed as part of your PyEnv environment:
pyenv install -s 2.6.9 pyenv install -s 2.7.11 pyenv install -s 3.5.2 pyenv install -s pypy-5.3 pyenv global 2.7.11 3.5.2 2.6.9 pypy-5.3
The tests depend on PyICU being installed using the pyicu-binary package which removes the source build step. PyICU depends on icu4c which on macOS requires homebrew:
brew install icu4c
The Makefile contains the macOS default values for them so you may need to tweak them.
An example of how to use parsedatetime:
import parsedatetime cal = parsedatetime.Calendar() cal.parse("tomorrow")
To get it to a Python
from datetime import datetime time_struct, parse_status = cal.parse("tomorrow") datetime(*time_struct[:6])
Parse datetime with timezone support (using pytz package):
import parsedatetime import pytz from pytz import timezone cal = parsedatetime.Calendar() datetime_obj, _ = cal.parseDT(datetimeString="tomorrow", tzinfo=timezone("US/Pacific"))
More detailed examples can be found in the examples directory.
The generated documentation is included by default in the docs directory and can also be viewed online at https://bear.im/code/parsedatetime/docs/index.html
The docs can be generated by running:
Calendar class has a member property named
ptc which is created during the class init method to be an instance of
The code in parsedatetime has been implemented over the years in many different languages (C, Clipper, Delphi) as part of different custom/proprietary systems I’ve worked on. Sadly the previous code is not “open” in any sense of that word.
When I went to work for Open Source Applications Foundation and realized that the Chandler project could benefit from my experience with parsing of date/time text I decided to start from scratch and implement the code using Python and make it truly open.
After working on the initial concept and creating something that could be shown to the Chandler folks, the code has now evolved to its current state with the help of the Chandler folks, most especially Darshana.