catchup-schedules 1.0.0

A robust scheduling module designed to catch up on periodic tasks that were skipped due to system pauses or downtime.

catchup-schedules

A Persistent Python Scheduler that Remembers Missed Events and Maintains its Cycle.

A robust scheduling module designed to catch up on periodic tasks that were skipped due to system pauses or downtime.

Example

import catchup_schedules

Example 1

import catchup_schedules
import datetime
time_example = [""] #or ["2025-10-08T19:15:17Z"]
def test():
    print("Hello World!")
catchup_schedules.run(test,"1m 30s",False,time_example)

Example 2

import catchup_schedules
import datetime
import configparser#test
import os
config = configparser.ConfigParser()
config.read(os.path.join(os.path.dirname(os.path.abspath(__file__)),'resourcenospec','setting.ini'), encoding="UTF-8")
daads = [config['setting']['time']]#諛⑸쾿1
runbool=[True]
asdf=0
def test():
    global asdf,runbool
    config['setting']['time']=datetime.datetime.now().strftime("%Y-%m-%dT%H:%M:%SZ")#諛⑸쾿2
    print("test",config['setting']['time'],datetime.datetime.now().strftime("%Y-%m-%dT%H:%M:%SZ"))
    with open(os.path.join(os.path.dirname(os.path.abspath(__file__)),'resourcenospec','setting.ini'), 'w', encoding='utf-8') as configfile:
        config.write(configfile)
    print(asdf)
    if asdf==4:
        runbool[0]=False
    else:
        asdf+=1
catchup_schedules.run(test,"2s ",False,True,daads,running=runbool)
print("end")

Install

https://pypi.org/project/catchup-schedules/

$ python -m pip install catchup-schedules

Parameter

catchup_schedules.run(Parameter)

Parameter	Type	Description	Example
run_func	callable	The function to be executed repeatedly.	test()
looptime	str	Sets the repeat interval (period). You can specify multiple values and units (w, d, h, m, s) separated by spaces.	1w, 3d, 2h, 5s, 10m 5s
cycle_type	bool	Determines the method for handling missed cycles. Sets when the next schedule should occur after code execution has been paused and resumed.	True, False
		- True (Maintain Cycle): Maintains the original period. It calculates the time the function should have last run, updates starttime to that point, and the next execution is scheduled looptime after this updated time.
		- False (Start New Cycle): Updates starttime to the current time and starts a new cycle from now.
resume	bool	Determines whether to immediately execute run_func once upon starting the module if any schedules were missed while the code was paused.	True, False
		Note: This setting operates independently of the cycle_type setting. The function will execute when resume is True if any cycles were missed, regardless of the value of cycle_type.
starttime (Optional)	list	A list used to store and remember the previous execution time. It must contain a string in the format of ["YYYY-MM-DDTHH:MM:SSZ"] or [""]. The default value is the current time if the variable is not passed, and it is also initialized to the current time if the variable's value is an empty string ([""]).	["2025-10-08T19:15:17Z"]
running (Optional)	list	A list used to control the execution state of a function. It is expected to contain a single boolean value (True or False). When the value is [True], the function continues execution. When it is [False], the function terminates and exits. The default value is [True].	[True], [False]

Tip

The required datetime format is "%Y-%m-%dT%H:%M:%SZ".

#Example
starttime[0] = datetime.datetime.now().strftime("%Y-%m-%dT%H:%M:%SZ") 혻