Parser for date range conditionals.
This is the README file for Date Conditionals.
- © 2016-2018, Chris Warrick.
This is a minimalistic (and slightly hacky) parser for date range conditionals.
pip install datecond
comma-separated clauses (AND)
- clause: attribute comparison_operator value (spaces optional)
attribute: year, month, day, hour, month, second, weekday, isoweekday or empty for full datetime
comparison_operator: == != <= >= < >
value: integer, ‘now’, ‘today’, or dateutil-compatible date input
The library exposes only one function:
date_in_range(date_range, date, debug=True, now=None)
Where date_range is the date conditional (see FORMAT above), date is a datetime object, and now is the current date (used for ‘now’/’today’ comparisons; if not specified, datetime.datetime.now() or datetime.date.today() is used)
$ python -m datecond Date range to accept: year == 2016 Date to test: 2016-01-01 Date parsed: 2016-01-01 00:00:00 <2016 == 2016> In range: True Date to test: 2016-02-02 Date parsed: 2016-02-02 00:00:00 <2016 == 2016> In range: True Date to test: 2017-01-01 Date parsed: 2017-01-01 00:00:00 <2017 == 2016> In range: False $ python -m datecond Date range to accept: year == 2016, month > 06, day >= 07 Date to test: 2016-06-07 Date parsed: 2016-06-07 00:00:00 <2016 == 2016> <6 > 6> <7 >= 7> In range: False Date to test: 2016-07-07 Date parsed: 2016-07-07 00:00:00 <2016 == 2016> <7 > 6> <7 >= 7> In range: True Date to test: 2016-08-08 Date parsed: 2016-08-08 00:00:00 <2016 == 2016> <8 > 6> <8 >= 7> In range: True Date to test: 2015-07-07 Date parsed: 2015-07-07 00:00:00 <2015 == 2016> <7 > 6> <7 >= 7> In range: False
Copyright © 2015-2019, Chris Warrick. All rights reserved.
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