datetime-glob

Parses date/times from a path given a glob pattern intertwined with date/time format akin to strptime/strftime format.

datetime.datetime.strptime suffices for simple date/time parsing. However, as soon as you need to handle wildcards, it becomes tricky and you need to resort to regular expressions.

We found the glob patterns and strptime format to be far easier to read and write than regular expressions, and encapsulated the logic involving regular expressions in this module.

Installation

• Create a virtual environment:

python3 -m venv venv3

• Activate it:

source venv3/bin/activate

• Install datetime-glob with pip:

pip3 install datetime-glob

Usage

To match a path:

>>> import datetime_glob
>>> matcher = datetime_glob.Matcher(pattern='/some/path/*%Y-%m-%dT%H-%M-%SZ.jpg')
>>> match = matcher.match(path='/some/path/some-text2016-07-03T21-22-23Z.jpg')
>>> match
datetime_glob.Match(year = 2016, month = 7, day = 3, hour = 21, minute = 22, second = 23)

>>> match.as_datetime()
datetime.datetime(2016, 7, 3, 21, 22, 23)
>>> match.as_date()
datetime.date(2016, 7, 3)
>>> match.as_time()
datetime.time(21, 22, 23)

If you specify a directive for the same field twice, the matcher will make sure that the field has the same semantical value in order to match:

>>> import datetime_glob
>>> matcher = datetime_glob.Matcher(pattern='/some/path/%y/%Y-%m-%d.txt')

>>> match = matcher.match(path='/some/path/16/2016-07-03.txt')
>>> match
datetime_glob.Match(year = 2016, month = 7, day = 3)

>>> match = matcher.match(path='/some/path/19/2016-07-03.txt')
>>> type(match)
<class 'NoneType'>

You can walk the pattern on the file system:

import datetime_glob
for match, path in datetime_glob.walk(pattern='/some/path/*%Y/%m/%d/%H-%M-%SZ.jpg'):
    dtime = match.as_datetime()
    print(dtime, path)
2016-03-04 12:13:14 /some/path/saved-2016/03/04/12-13-14Z.jpg
2017-11-23 22:23:24 /some/path/restored-2017/11/23/22-23-24Z.jpg

To iterate manually over a tree, and match incrementally each path segment by yourself:

>>> import datetime_glob
>>> pattern_segments = datetime_glob.parse_pattern(pattern='/some/path/*%Y/%m/%d/%H-%M-%SZ.jpg')
>>> match = datetime_glob.Match()

>>> match=datetime_glob.match_segment(segment='some', pattern_segment=pattern_segments[0], match=match)
>>> match
datetime_glob.Match()

>>> match=datetime_glob.match_segment(segment='path', pattern_segment=pattern_segments[1], match=match)
>>> match
datetime_glob.Match()

>>> match=datetime_glob.match_segment(segment='some-text2016', pattern_segment=pattern_segments[2], match=match)
>>> match
datetime_glob.Match(year = 2016)

>>> match=datetime_glob.match_segment(segment='07', pattern_segment=pattern_segments[3], match=match)
>>> match
datetime_glob.Match(year = 2016, month = 7)

>>> match=datetime_glob.match_segment(segment='03', pattern_segment=pattern_segments[4], match=match)
>>> match
datetime_glob.Match(year = 2016, month = 7, day = 3)

>>> match=datetime_glob.match_segment(segment='21-22-23Z.jpg', pattern_segment=pattern_segments[5], match=match)
>>> match
datetime_glob.Match(year = 2016, month = 7, day = 3, hour = 21, minute = 22, second = 23)

Supported strftime directives

(subset from https://docs.python.org/3/library/datetime.html#strftime-and-strptime-behavior)

Development

• Check out the repository.

• In the repository root, create the virtual environment:

python3 -m venv venv3

• Activate the virtual environment:

source venv3/bin/activate

• Install the development dependencies:

pip3 install -e .[dev]

• Run precommit.py to execute pre-commit checks locally.