Skip to main content

Parse date/time from paths using glob wildcard pattern intertwined with date/time format

Project description

datetime-glob

Check status Test coverage PyPI - version PyPI - Python Version

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)

Directive

Meaning

Example

%d

Day of the month as a zero-padded decimal number.

01, 02, …, 31

%-d

Day of the month as a decimal number.

1, 2, …, 31

%m

Month as a zero-padded decimal number.

01, 02, …, 12

%-m

Month as a decimal number.

1, 2, …, 12

%y

Year without century as a zero-padded decimal number.

00, 01, …, 99

%Y

Year with century as a decimal number.

1970, 1988, 2001, 2013

%H

Hour (24-hour clock) as a zero-padded decimal number.

00, 01, …, 23

%-H

Hour (24-hour clock) as a decimal number.

0, 1, …, 23

%M

Minute as a zero-padded decimal number.

00, 01, …, 59

%-M

Minute as a decimal number.

0, 1, …, 59

%S

Second as a zero-padded decimal number.

00, 01, …, 59

%-S

Second as a decimal number.

0, 1, …, 59

%f

Microsecond as a decimal number, zero-padded on the left.

000000, 000001, …, 999999

%%

A literal ‘%’ character.

%

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.

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

datetime-glob-1.0.8.tar.gz (10.3 kB view details)

Uploaded Source

File details

Details for the file datetime-glob-1.0.8.tar.gz.

File metadata

  • Download URL: datetime-glob-1.0.8.tar.gz
  • Upload date:
  • Size: 10.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.1.0 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.8.5

File hashes

Hashes for datetime-glob-1.0.8.tar.gz
Algorithm Hash digest
SHA256 9d11a7240de9c739a21a5e730f244b488b6835880c03a6c00e98c4f3792dcce0
MD5 53a63ca7762f4e82280bb9c7ebe5aacb
BLAKE2b-256 e189aa19dadd7633dbe09685425b4a87c2e514e8bf03eef43d19cfb25a922d6a

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