A simpler asynchronous scheduler based on pythons sched.scheduler.
Project description
Simple Asynchronous Scheduler
AsyncScheduler is a wrapper for sched.scheduler that provides asynchronous operation out of the box. Thus, starting the scheduler does not block the execution of the next statements. Further, adding and removing events can be done without manually stopping/starting the scheduler.
The event itself is executed synchronously. Consequently, it the execution of the calling method takes longer than the delay to the next event, execution of the next method is postponed until the previous method returns.
Four different methods are available to add new events: * enter - adds a single event to take place in n seconds * enterabs - adds a single event to take place at time t * repeat - adds a repeating event that is triggered every n seconds * enterabs - adds a repeating event that is triggered at time t for the first time and then every n seconds
Example
Some events
Code
from asyncscheduler import AsyncScheduler from time import sleep a = AsyncScheduler() a.start() event = a.enter(1, 1, print, args=("event 1",)) a.enter(2, 1, print, args=("event 2",)) a.enter(3, 1, print, args=("event 3",)) a.enter(4, 1, print, args=("event 4",)) a.cancel(event) sleep(3.1) a.clear_scheduler() a.stop()
Output
event 2 event 3
Digital clock
Code
from asyncscheduler import AsyncScheduler import time, datetime def display_time(): print("\r{}".format(datetime.datetime.now().strftime("%H:%M:%S")), end='\r') a = AsyncScheduler() a.start() a.repeatabs(math.floor(time.time()) + 1, 1, 1, display_time) try: while True: time.sleep(0.25) except KeyboardInterrupt: pass a.stop()
Output
12:34:56
API
enter
AsyncScheduler.enter(self, delay, priority, action, args=(), kwargs={})
Add an event to the scheduler. It will be executed after the provided delay with ‘action(*argument, **kwargs)’. In case of two events scheduled for the same time the priority is used for execution order. A lower number means a higher priority.
Parameter: * delay - delay call of func for this amount of seconds. e.g. 12.34 * priority - events scheduled for the same time are processed according to their priority. * action - function that is called upon expires * args - tuple of arguments for this function * kwargs - dict of arguments for this function
Returns the instance of the added event.
enterabs
AsyncScheduler.enterabs(self, time, priority, action, args=(), kwargs={})
Add an event to the scheduler. It will be executed at the provided time with ‘action(*argument, **kwargs)’. In case of two events scheduled for the same time the priority is used for execution order. A lower number means a higher priority.
Parameter: * time - call the action at this time stamp. * priority - events scheduled for the same time are processed according to their priority. * action - function that is called upon expires * args - tuple of arguments for this function * kwargs - dict of arguments for this function
Returns the instance of the added event.
clear_scheduler
AsyncScheduler.clear_scheduler(self)
Cancels all scheduled events.
cancel
AsyncScheduler.cancel(self, event)
Remove the provided event from the scheduler. In case of an unknown event, a ValueError will be raised.
Parameter: * event - event instance as returned from add_event.
repeat
repeat(self, every, priority, action, args=(), kwargs={})
Add a repeating event to the scheduler. It will be executed each time the provided delay (every-n-seconds) has expired with ‘func(*argument, **kwargs)’. In case of two events scheduled for the same time the priority is used for execution order. A lower number means a higher priority.
See repeatabs for more information.
Parameter: * time - call the action at this time stamp. * every - every-n-seconds call action. e.g. 12.34 * priority - events scheduled for the same time are processed according to their priority. * action - function that is called upon expirey * args - tuple of arguments for this function * kwargs - dict of arguments for this function
Returns the instance of the added event.
repeatabs
repeatabs(self, time, every, priority, action, args=(), kwargs={})
Add a repeating event to the scheduler. It will be executed each time the provided delay (every-n-seconds) has expired with ‘func(*argument, **kwargs)’. The first event is triggered at the provided time. In case of two events scheduled for the same time the priority is used for execution order. A lower number means a higher priority.
A repeating event will trigger one last time in case of a regular stop with wait=False (=default).
Note: the returned event instance is the instance of the first iteration only. Thus, after the first iteration it will not be part of scheduler.queue no more. Instead a new event for this repeating event has been created. AsyncScheduler keeps track of the current instance and uses the first instance for identification of which event to cancel. This is done with the method _repeat_event_hash and the map _repeat_event_mapping.
Parameter: * time - call the action at this time stamp. * every - every-n-seconds call action. e.g. 12.34 * priority - events scheduled for the same time are processed according to their priority. * action - function that is called upon expirey * args - tuple of arguments for this function * kwargs - dict of arguments for this function
Returns the instance of the added event.
start
start(self)
Starts the scheduler.
stop
stop(self)
Stops the scheduler. After stop, the scheduler is emptied. Thus, calling start after stop results in a new, blank schedule that must be filled.
Todos
readthedocs
CI/CD
Misc
The code is written for python3 (and tested with python 3.5).
Merge requests / bug reports are always welcome.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
File details
Details for the file AsyncScheduler-0.2.0.tar.gz
.
File metadata
- Download URL: AsyncScheduler-0.2.0.tar.gz
- Upload date:
- Size: 7.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: Python-urllib/3.6
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | d077131667bbcb499d13f906b2cd3670e2c359344a63a949eb1ba69263a25d00 |
|
MD5 | 0c54ce2bcd4742778c2146e23c775638 |
|
BLAKE2b-256 | c8342c72a02768183a17c40376c96dffee1cc82cf0ad2118f8e5853830cf7494 |