DSL to handle complex schedules
Project description
⏰ Krolib: Schedules for Humans
Magic library and DSL to handle complex schedules.
🚀 Installation
As easy as usual.
$ pip install krolib
Why?
Cron is not enough
Yes, you can create almost any kind of schedule rotation or delay for you app but there are some very special cases when Cron can't help you, like "do something monthly, every second weekend at 6am until 2020". Also, you can create only app-level job, what if you need periodical function execution inside your application?
Declarative schedule format
Create your schedules programmatically, serialize them, store in DB, modify, update in runtime and always have a whole picture of what is the final result.
Readable and flexible structure like:
{
'timezone': 'Europe/Kiev',
'start': {
'relative_timeshift': {
'delay': 2,
'time_units': TimeUnits.MONTHS,
}
}
}
Supports asyncio out of the box
Works like magic and very helpful to create periodical coroutines:
from krolib.asyncio import scheduler
from krolib.structs import TimeUnits, PeriodicalUnits
@scheduler({
'start': {
'relative_timeshift': {
'delay': 1,
'time_units': TimeUnits.SECONDS,
}
},
'periodical': {
'repeats': PeriodicalUnits.SECONDLY,
'every': 1,
},
'stop': {
'never': False,
'after_num_repeats': 2
}
})
async def some_coroutine():
print('PING')
await some_coroutine() # will be delayed and called twice!
Delay several coroutines concurrently:
from krolib.asyncio import scheduler
from krolib.structs import TimeUnits, PeriodicalUnits
@scheduler({
'start': {
'relative_timeshift': {
'delay': 1,
'time_units': TimeUnits.SECONDS,
}
},
'periodical': {
'repeats': PeriodicalUnits.SECONDLY,
'every': 1,
},
'stop': {
'never': False,
'after_num_repeats': 2
}
})
async def some_coroutine():
print('PING')
@scheduler({
'start': {
'relative_timeshift': {
'delay': 1,
'time_units': TimeUnits.SECONDS,
}
},
'periodical': {
'repeats': PeriodicalUnits.SECONDLY,
'every': 1,
},
'stop': {
'never': False,
'after_num_repeats': 2
}
})
async def another_coroutine():
print('PONG')
# concurrent execution, get your PING PONG twice!
await asyncio.gather(some_coroutine(), another_coroutine())
More examples
Delay for 1 hour:
from krolib.utils import just_now
from krolib.parser import schedule_parser
from krolib.structs import TimeUnits
now = just_now()
schedule = {
'start': {
'relative_timeshift': {
'delay': 1,
'time_units': TimeUnits.HOURS,
}
},
}
schedule_gen = schedule_parser(schedule)
result = next(schedule_gen)
assert (result - now).total_seconds() == 3600 # seconds
Every last day of the month, infinite:
import datetime
import pytz
from krolib.structs import (
PeriodicalUnits,
RelativeUnits,
RelativeIndexUnits,
)
from krolib.parser import schedule_parser
# today is this date, for example
now = datetime.datetime(year=2018, month=1, day=1)
schedule = {
'periodical': {
'repeats': PeriodicalUnits.MONTHLY,
'relative_day': RelativeUnits.DAY,
'relative_day_index': RelativeIndexUnits.LAST,
}
}
schedule_gen = schedule_parser(schedule, now_dt=now)
results = [next(schedule_gen) for _ in range(3)]
assert results == [
datetime.datetime(2018, 1, 31, 0, 0, tzinfo=pytz.UTC),
datetime.datetime(2018, 2, 28, 0, 0, tzinfo=pytz.UTC),
datetime.datetime(2018, 3, 31, 0, 0, tzinfo=pytz.UTC),
]
Since tomorrow, every week with stop after the second one:
import datetime
from krolib.utils import just_now
from krolib.parser import schedule_parser
from krolib.structs import PeriodicalUnits
now = just_now()
start_on = now + datetime.timedelta(days=1)
schedule = {
'start': {
'on': start_on,
},
'periodical': {
'repeats': PeriodicalUnits.WEEKLY,
'every': 1,
},
'stop': {
'never': False,
'after_num_repeats': 2
}
}
schedule_gen = schedule_parser(schedule)
one_dt, two_dt = list(schedule_gen)
assert one_dt == start_on
assert (two_dt - one_dt).days == 7
Schedule Format
The general schema structure which is currently supported by Krolib is presented here as a pseudo-Python code.
{
'start': {
'on': datetime.datetime,
'relative_timeshift': {
'delay': int,
'time_units': 'seconds/minutes/hours/days/weeks/months',
}
},
'periodical': {
'repeats': 'yearly/monthly/weekly/daily/hourly/minutely/secondly',
'every': int,
'month': 1..12 or None,
'day': 1..31 or None,
'weekday': [0..6] or None,
'hour': 0..23 or None,
'minute': 0..59 or None,
'second': 0..59 or None,
},
'stop': {
'never': True or False,
'on': datetime.datetime,
'after_num_repeats': int
},
'timezone': str or None,
}
Also, there is special form for relative periodical rotations:
{
'start': {
'on': datetime.datetime,
'relative_timeshift': {
'delay': int,
'time_units': 'seconds/minutes/hours/days/weeks/months',
}
},
'periodical': {
'repeats': 'yearly/monthly',
'relative_day': 'day/weekday/weekend/sunday/monday/tuesday/wednesday/thursday/friday/saturday',
'relative_day_index': 'first/second/third/fourth/last',
'every': int,
'hour': 0..23 or None,
'minute': 0..59 or None,
'second': 0..59 or None,
},
'stop': {
'never': True or False,
'on': datetime.datetime,
'after_num_repeats': int
},
'timezone': str or None,
}
Schedule structure
The schedule data structure has three main sections:
- start
- periodical
- stop
The schedule structure also holds a timezone
attribute, which sets the
timezone for all the sections of the schedule. It should hold a string with the
timezone identifier, for example Europe/Kiev
. Supported list of the timezones
could be found here
Please take into account, that timezone validation and processing utilizes
pytz
library, so finally you might want to dig into the sources of this
library in case if you face any troubles.
Start section
Start section is used to specify the exact time or delay before the rule or block starts/continues it's execution (processing).
on
key
This key holds the exact time (datetime object) when to start the
execution/processing. When this key is set, values in the relative_timeshift
section should not be filled with any values.
{
'start': {
'on': datetime.datetime.utcnow(),
}
}
relative_timeshift
key
This key holds an object with two keys — delay
and time_units
.
delay
holds a string with an integer in it for the amount of time units.
time_units
holds a string with one of the values:
- seconds
- minutes
- hours
- days
- weeks
- months
When the relative timeshift is set, both delay and time_units should hold the proper values.
Example of this kind of start section with the delay for 3 days:
{
'start': {
'relative_timeshift': {
'delay': '3',
'time_units': 'days',
}
}
}
Periodical section
The periodical section is used to describe a schedule with the recurring events. If you use this section, you should also set the values in the stop section of the schedule data structure.
repeats
key
This key holds the type of repeats:
- yearly
- monthly
- weekly
- daily
- hourly
- minulety
- secondly
Example of yearly repeats on September, 3-rd at 20:30:
{
'periodical': {
'repeats': 'yearly',
'every': 1,
'month': 9,
'day': 3,
'hour': 20,
'minute': 30,
}
}
every
key
This key gives additional flexibility for repeats. It holds a non-negative integer greater than zero (a natural number) and is used to calculate skips.
For example, for daily repeats the every key could be set to 1 — this would mean every day repeats, to 3 — this would mean skip two days, then execute every third day, skip two days again, etc.
{
'periodical': {
'repeats': 'daily',
'every': 5,
'hour': 20,
'minute': 30,
}
}
month
, day
, hour
, minute
and second
keys
These keys hold integers which correspond to appropriate key. For example, 1-12 (inclusive) for month, 1-31 (inclusive) for day and so on.
weekday
key
This key holds the information about the weekdays for the recurring event. Valid weekday range is from 0 to 6 where 0 is Monday and 6 is Sunday.
Example of weekly repeats (every week without skipping) on Mondays and Fridays at 15.00:
{
'periodical': {
'repeats': 'weekly',
'every': 1,
'weekday': [0, 4],
'hour': 15,
'minute': 0,
}
}
Relative days case
For monthly
and yearly
values of the repeats
key, altenative relative
days schedule could be set.
In this case the day
and weekday
keys should not be set and relative_day
and relative_day_index
should be. These keys indicate some relative day of
the month.
relative_day
key
This field should hold the string with one of the following values:
- day
- weekday
- weekend
- sunday
- monday
- tuesday
- wednesday
- thursday
- friday
- saturday
relative_day_index
key
This field should hold a string with one of the following values:
- first
- second
- third
- fourth
- last
Example of monthly repeats on the third Friday of the month at 15.00:
{
'periodical': {
'repeats': 'monthly',
'every': 1,
'hour': 15,
'minute': 0,
'relative_day': 'friday',
'relative_day_index': 'third'
}
}
Stop section
This section is obligatory. It holds information about when to stop the
recurring event execution. Has never
, on
and after_num_repeats
keys.
never
key
This key holds a boolean value. If set to True
— other keys of this section
should not hold any values, because this means that recurring event will never
stop it's execution. If set to False
— other keys should be also set.
Stop section with never ending repeats:
{
'stop': {
'never': True,
}
}
on
key
This key holds exact time (datetime object) when to stop the recurring:
{
'stop': {
'never': False,
'on': datetime.datetime.utcnow() + datetime.timedelta(days=1)
}
}
after_num_repeats
key
This key holds an integer indicating amount of times to repeat the recurring schedule.
Stop section with stop after 25 times executing/processing smth:
{
'stop': {
'never': False,
'after_num_repeats': 25
}
}
🤝 Special Thanks
- Alexander Omyshev @akalex
- Dmitry Nikonenko @ndmytro
- Phil Steitz @psteitz
- Ralph Goers @rgoers
- Vitalii Iaskal @vavilon17
📝 License
Published under Apache Software License 2.0, see LICENSE file.
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