Croniter provides iteration for the datetime object with a cron like format

Overview

Introduction

croniter provides iteration for the datetime object with a cron like format.

                      _ _
  ___ _ __ ___  _ __ (_) |_ ___ _ __
 / __| '__/ _ \| '_ \| | __/ _ \ '__|
| (__| | | (_) | | | | | ||  __/ |
 \___|_|  \___/|_| |_|_|\__\___|_|

Website: https://github.com/kiorky/croniter

Travis badge

https://travis-ci.org/kiorky/croniter.svg?branch=master

Usage

A simple example:

>>> from croniter import croniter
>>> from datetime import datetime
>>> base = datetime(2010, 1, 25, 4, 46)
>>> iter = croniter('*/5 * * * *', base)  # every 5 minutes
>>> print(iter.get_next(datetime))   # 2010-01-25 04:50:00
>>> print(iter.get_next(datetime))   # 2010-01-25 04:55:00
>>> print(iter.get_next(datetime))   # 2010-01-25 05:00:00
>>>
>>> iter = croniter('2 4 * * mon,fri', base)  # 04:02 on every Monday and Friday
>>> print(iter.get_next(datetime))   # 2010-01-26 04:02:00
>>> print(iter.get_next(datetime))   # 2010-01-30 04:02:00
>>> print(iter.get_next(datetime))   # 2010-02-02 04:02:00
>>>
>>> iter = croniter('2 4 1 * wed', base)  # 04:02 on every Wednesday OR on 1st day of month
>>> print(iter.get_next(datetime))   # 2010-01-27 04:02:00
>>> print(iter.get_next(datetime))   # 2010-02-01 04:02:00
>>> print(iter.get_next(datetime))   # 2010-02-03 04:02:00
>>>
>>> iter = croniter('2 4 1 * wed', base, day_or=False)  # 04:02 on every 1st day of the month if it is a Wednesday
>>> print(iter.get_next(datetime))   # 2010-09-01 04:02:00
>>> print(iter.get_next(datetime))   # 2010-12-01 04:02:00
>>> print(iter.get_next(datetime))   # 2011-06-01 04:02:00
>>>
>>> iter = croniter('0 0 * * sat#1,sun#2', base)  # 1st Saturday, and 2nd Sunday of the month
>>> print(iter.get_next(datetime))   # 2010-02-06 00:00:00
>>>
>>> iter = croniter('0 0 * * 5#3,L5', base)  # 3rd and last Friday of the month
>>> print(iter.get_next(datetime))   # 2010-01-29 00:00:00
>>> print(iter.get_next(datetime))   # 2010-02-19 00:00:00

All you need to know is how to use the constructor and the get_next method, the signature of these methods are listed below:

>>> def __init__(self, cron_format, start_time=time.time(), day_or=True)

croniter iterates along with cron_format from start_time. cron_format is min hour day month day_of_week, you can refer to http://en.wikipedia.org/wiki/Cron for more details. The day_or switch is used to control how croniter handles day and day_of_week entries. Default option is the cron behaviour, which connects those values using OR. If the switch is set to False, the values are connected using AND. This behaves like fcron and enables you to e.g. define a job that executes each 2nd friday of a month by setting the days of month and the weekday.

>>> def get_next(self, ret_type=float)

get_next calculates the next value according to the cron expression and returns an object of type ret_type. ret_type should be a float or a datetime object.

Supported added for get_prev method. (>= 0.2.0):

>>> base = datetime(2010, 8, 25)
>>> itr = croniter('0 0 1 * *', base)
>>> print(itr.get_prev(datetime))  # 2010-08-01 00:00:00
>>> print(itr.get_prev(datetime))  # 2010-07-01 00:00:00
>>> print(itr.get_prev(datetime))  # 2010-06-01 00:00:00

You can validate your crons using is_valid class method. (>= 0.3.18):

>>> croniter.is_valid('0 0 1 * *')  # True
>>> croniter.is_valid('0 wrong_value 1 * *')  # False

About DST

Be sure to init your croniter instance with a TZ aware datetime for this to work!

Example using pytz:

>>> import pytz
>>> tz = pytz.timezone("Europe/Paris")
>>> local_date = tz.localize(datetime(2017, 3, 26))
>>> val = croniter('0 0 * * *', local_date).get_next(datetime)

Example using python_dateutil:

>>> import dateutil.tz
>>> tz = dateutil.tz.gettz('Asia/Tokyo')
>>> local_date = datetime(2017, 3, 26, tzinfo=tz)
>>> val = croniter('0 0 * * *', local_date).get_next(datetime)

About second repeats

Croniter is able to do second repeatition crontabs form:

>>> croniter('* * * * * 1', local_date).get_next(datetime)
>>> base = datetime(2012, 4, 6, 13, 26, 10)
>>> itr = croniter('* * * * * 15,25', base)
>>> itr.get_next(datetime) # 4/6 13:26:15
>>> itr.get_next(datetime) # 4/6 13:26:25
>>> itr.get_next(datetime) # 4/6 13:27:15

You can also note that this expression will repeat every second from the start datetime.:

>>> croniter('* * * * * *', local_date).get_next(datetime)

Testing if a date matches a crontab

Test for a match with (>=0.3.32):

>>> croniter.match("0 0 * * *", datetime(2019, 1, 14, 0, 0, 0, 0))
True
>>> croniter.match("0 0 * * *", datetime(2019, 1, 14, 0, 2, 0, 0))
False
>>>
>>> croniter.match("2 4 1 * wed", datetime(2019, 1, 1, 4, 2, 0, 0)) # 04:02 on every Wednesday OR on 1st day of month
True
>>> croniter.match("2 4 1 * wed", datetime(2019, 1, 1, 4, 2, 0, 0), day_or=False) # 04:02 on every 1st day of the month if it is a Wednesday
False

Gaps between date matches

For performance reasons, croniter limits the amount of CPU cycles spent attempting to find the next match. Starting in v0.3.35, this behavior is configurable via the max_years_between_matches parameter, and the default window has been increased from 1 year to 50 years.

The defaults should be fine for many use cases. Applications that evaluate multiple cron expressions or handle cron expressions from untrusted sources or end-users should use this parameter. Iterating over sparse cron expressions can result in increased CPU consumption or a raised CroniterBadDateError exception which indicates that croniter has given up attempting to find the next (or previous) match. Explicitly specifying max_years_between_matches provides a way to limit CPU utilization and simplifies the iterable interface by eliminating the need for CroniterBadDateError. The difference in the iterable interface is based on the reasoning that whenever max_years_between_matches is explicitly agreed upon, there is no need for croniter to signal that it has given up; simply stopping the iteration is preferable.

This example matches 4 AM Friday, January 1st. Since January 1st isn't often a Friday, there may be a few years between each occurrence. Setting the limit to 15 years ensures all matches:

>>> it = croniter("0 4 1 1 fri", datetime(2000,1,1), day_or=False, max_years_between_matches=15).all_next(datetime)
>>> for i in range(5):
...     print(next(it))
...
2010-01-01 04:00:00
2016-01-01 04:00:00
2021-01-01 04:00:00
2027-01-01 04:00:00
2038-01-01 04:00:00

However, when only concerned with dates within the next 5 years, simply set max_years_between_matches=5 in the above example. This will result in no matches found, but no additional cycles will be wasted on unwanted matches far in the future.

Iterating over a range using cron

Find matches within a range using the croniter_range() function. This is much like the builtin range(start,stop,step) function, but for dates. The step argument is a cron expression. Added in (>=0.3.34)

List the first Saturday of every month in 2019:

>>> from croniter import croniter_range
>>> for dt in croniter_range(datetime(2019, 1, 1), datetime(2019, 12, 31), "0 0 * * sat#1"):
>>>     print(dt)

Hashed expressions

croniter supports Jenkins-style hashed expressions, using the "H" definition keyword and the required hash_id keyword argument. Hashed expressions remain consistent, given the same hash_id, but different hash_ids will evaluate completely different to each other. This allows, for example, for an even distribution of differently-named jobs without needing to manually spread them out.

>> itr.get_next(datetime) datetime.datetime(2021, 4, 10, 11, 10) >>> itr.get_next(datetime) datetime.datetime(2021, 4, 11, 11, 10) >>> itr = croniter("H H * * *", hash_id="hello") >>> itr.get_next(datetime) datetime.datetime(2021, 4, 10, 11, 10) >>> itr = croniter("H H * * *", hash_id="bonjour") >>> itr.get_next(datetime) datetime.datetime(2021, 4, 10, 20, 52) ">
>>> itr = croniter("H H * * *", hash_id="hello")
>>> itr.get_next(datetime)
datetime.datetime(2021, 4, 10, 11, 10)
>>> itr.get_next(datetime)
datetime.datetime(2021, 4, 11, 11, 10)
>>> itr = croniter("H H * * *", hash_id="hello")
>>> itr.get_next(datetime)
datetime.datetime(2021, 4, 10, 11, 10)
>>> itr = croniter("H H * * *", hash_id="bonjour")
>>> itr.get_next(datetime)
datetime.datetime(2021, 4, 10, 20, 52)

Random expressions

Random "R" definition keywords are supported, and remain consistent only within their croniter() instance.

>> itr.get_next(datetime) datetime.datetime(2021, 4, 10, 22, 56) >>> itr.get_next(datetime) datetime.datetime(2021, 4, 11, 22, 56) >>> itr = croniter("R R * * *") >>> itr.get_next(datetime) datetime.datetime(2021, 4, 11, 4, 19) ">
>>> itr = croniter("R R * * *")
>>> itr.get_next(datetime)
datetime.datetime(2021, 4, 10, 22, 56)
>>> itr.get_next(datetime)
datetime.datetime(2021, 4, 11, 22, 56)
>>> itr = croniter("R R * * *")
>>> itr.get_next(datetime)
datetime.datetime(2021, 4, 11, 4, 19)

Keyword expressions

Vixie cron-style "@" keyword expressions are supported. What they evaluate to depends on whether you supply hash_id: no hash_id corresponds to Vixie cron definitions (exact times, minute resolution), while with hash_id corresponds to Jenkins definitions (hashed within the period, second resolution).

Keyword No hash_id With hash_id
@midnight 0 0 * * * H H(0-2) * * * H
@hourly 0 * * * * H * * * * H
@daily 0 0 * * * H H * * * H
@weekly 0 0 * * 0 H H * * H H
@monthly 0 0 1 * * H H H * * H
@yearly 0 0 1 1 * H H H H * H
@annually 0 0 1 1 * H H H H * H

Develop this package

git clone https://github.com/kiorky/croniter.git
cd croniter
virtualenv --no-site-packages venv
. venv/bin/activate
pip install --upgrade -r requirements/test.txt
py.test src

Make a new release

We use zest.fullreleaser, a great release infrastructure.

Do and follow these instructions

. venv/bin/activate
pip install --upgrade -r requirements/release.txt
./release.sh

Contributors

Thanks to all who have contributed to this project! If you have contributed and your name is not listed below please let me know.

  • mrmachine
  • Hinnack
  • shazow
  • kiorky
  • jlsandell
  • mag009
  • djmitche
  • GreatCombinator
  • chris-baynes
  • ipartola
  • yuzawa-san
  • lowell80 (Kintyre)
  • scop
  • zed2015
  • Ryan Finnie (rfinnie)
Owner
kiorky
kiorky
Friendly Python Dates

When.py: Friendly Dates and Times Production: Development: User-friendly functions to help perform common date and time actions. Usage To get the syst

Andy Dirnberger 191 Oct 14, 2022
Delorean: Time Travel Made Easy

Delorean: Time Travel Made Easy Delorean is a library for clearing up the inconvenient truths that arise dealing with datetimes in Python. Understandi

Mahdi Yusuf 1.8k Dec 20, 2022
⌚️Internet Time reference and (eventually) converter site, for planning things with your internet friends who aren't (yet) obsessed with Internet Time 😉

Internet-Ti.me Internet Time reference and (eventually) converter site, for planning things with your internet friends who aren't (yet) obsessed with

Jessica Stokes 17 Nov 02, 2022
A simple in-process python scheduler library, designed to be integrated seamlessly with the `datetime` standard library.

scheduler A simple in-process python scheduler library, designed to be integrated seamlessly with the datetime standard library. Due to the support of

30 Dec 30, 2022
🕟 Date and time processing language

Date Time Expression dte is a WIP date-time processing language with focus on broad interpretation. If you don't think it's intuitive, it's most likel

Marcelo 303 Dec 19, 2022
Croniter provides iteration for the datetime object with a cron like format

Introduction Contents Introduction Travis badge Usage About DST About second repeats Testing if a date matches a crontab Gaps between date matches Ite

kiorky 152 Dec 30, 2022
python parser for human readable dates

Python parser for human readable dates Key Features • How To Use • Installation • Common use cases • You may also like... • License Key Features Suppo

Scrapinghub 2.2k Jan 08, 2023
Python datetimes made easy

Pendulum Python datetimes made easy. Supports Python 2.7 and 3.4+. import pendulum now_in_paris = pendulum.now('Europe/Paris') now_in_par

Sébastien Eustace 5.3k Jan 06, 2023
UNIX time from NTP or short UtfN is a simple CLI tool to set the time from an NTP-Server.

UNIX ⌚ from NTP UNIX time from NTP or short UtfN is a simple CLI tool to set the time from an NTP-Server. Sets time and date using the date command pr

Alexander 1 Jan 02, 2022
An python based Timer and Digital Clock

Python-based-Timer- An python based Timer and Digital Clock How to contribute to this repo ❓ Step 1: Fork the this repository Step 2: Clone your fork

Bauddhik-Geeks 3 Sep 16, 2022
The Terasic DECA board as a mandelbrot acceleerator

deca-mandelbrot The Terasic DECA board as a mandelbrot accelerator. This is a hobby project to explore parallel computation/pipelining on a FPGA. curr

Hans Baier 11 Aug 29, 2022
Datetimes for Humans™

Maya: Datetimes for Humans™ Datetimes are very frustrating to work with in Python, especially when dealing with different locales on different systems

Timo Furrer 3.4k Dec 28, 2022
Better dates & times for Python

Arrow: Better dates & times for Python Arrow is a Python library that offers a sensible and human-friendly approach to creating, manipulating, formatt

Arrow 8.2k Jan 05, 2023
A Python 3 library for parsing human-written times and dates

Chronyk A small Python 3 library containing some handy tools for handling time, especially when it comes to interfacing with those pesky humans. Featu

Felix Wiegand 339 Dec 19, 2022
A datetime parser in Python by Ari24-cb24 and NekoFantic

datetimeparser A datetime parser in Python by Ari24-cb24 and NekoFantic V 1.0 Erinnerung für den Parser Auf falsche Eingaben überprüfen Liste an Event

AriDevelopment 13 Dec 30, 2022
Make Python datetime formatting human readable

Make Python datetime formatting human readable

James Timmins 0 Oct 03, 2021
A Python library for dealing with dates

moment A Python library for dealing with dates/times. Inspired by Moment.js and Kenneth Reitz's Requests library. Ideas were also taken from the Times

Zach Williams 709 Dec 09, 2022
Generate and work with holidays in Python

python-holidays A fast, efficient Python library for generating country, province and state specific sets of holidays on the fly. It aims to make dete

Maurizio Montel 881 Dec 29, 2022
E-Ink Magic Calendar that automatically syncs to Google Calendar and runs off a battery powered Raspberry Pi Zero

E-Ink Magic Calendar that automatically syncs to Google Calendar and runs off a battery powered Raspberry Pi Zero

2.8k Jan 06, 2023
A simple digital clock made with the help of python

Digital-Clock ⏰ Description 📚 ✔️ A simple digital clock made with the help of python. The code is easy to understand and implement. With this reposit

Mohit 0 Dec 10, 2021