Skip to main content

Parse human-readable date/time text.

Project description

parsedatetime

Parse human-readable date/time strings.

Python 2.7 or greater is required for parsedatetime version 1.0 or greater.

Downloads Travis CI Codecov Requirements Status

Installing

You can install parsedatetime using:

pip install parsedatetime

Running Tests

From the source directory:

make test

To run tests on several python versions, type tox:

$ 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 python2.7, python3.5, etc in PATH.

Using parsedatetime

An example of how to use parsedatetime:

import parsedatetime

cal = parsedatetime.Calendar()

cal.parse("tomorrow")

To get it to a Python datetime object:

from datetime import datetime
from time import mktime

time_struct, parse_status = cal.parse("tomorrow")
datetime.fromtimestamp(mktime(time_struct))

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.

Documentation

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:

make docs

Notes

The Calendar class has a member property named ptc which is created during the class init method to be an instance of parsedatetime_consts.CalendarConstants().

History

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 it’s current state with the help the Chandler folks, most especially Darshana.

Project details


Download files

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

Source Distribution

parsedatetime-2.1.tar.gz (56.3 kB view details)

Uploaded Source

Built Distribution

parsedatetime-2.1-py2-none-any.whl (37.8 kB view details)

Uploaded Python 2

File details

Details for the file parsedatetime-2.1.tar.gz.

File metadata

  • Download URL: parsedatetime-2.1.tar.gz
  • Upload date:
  • Size: 56.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for parsedatetime-2.1.tar.gz
Algorithm Hash digest
SHA256 17c578775520c99131634e09cfca5a05ea9e1bd2a05cd06967ebece10df7af2d
MD5 096fe294137914b3dbbe268ecb18b74b
BLAKE2b-256 8b2037822d52be72c99cad913fad0b992d982928cac882efbbc491d4b9d216a9

See more details on using hashes here.

File details

Details for the file parsedatetime-2.1-py2-none-any.whl.

File metadata

File hashes

Hashes for parsedatetime-2.1-py2-none-any.whl
Algorithm Hash digest
SHA256 ce9d422165cf6e963905cd5f74f274ebf7cc98c941916169178ef93f0e557838
MD5 c8ec17ef06d4034b33869bdb48b0c004
BLAKE2b-256 851f13fc06097e516f6259d62cea502b116451321c96e18a9d0fff9da3442e02

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page