A pure-python calendar queue and library for scheduling events with asyncio.
Many other libraries allow for event/job scheduling but either they are not asynchronous or they are just fire-and-forget.
calendar-queue has two purposes:
- providing the primitives for creating your own scheduler by exporting a
CalendarQueueclass in which events can be awaited - providing a higher level abstraction
Calendarclass that simplifies the usage ofCalendarQueue.
Depending on your needs, you can use one of the two to develop your own event manager/scheduler.
The idea is: we take care of emitting events at the right time, you write the logic for acting accordingly.
pip install calendar-queueCalendarQueue is a low-level, efficient queue for scheduling events at specific times:
import asyncio
from datetime import datetime, timedelta
from calendar_queue import CalendarQueue
cq = CalendarQueue()
async def schedule_events():
for i in range(3):
scheduled_time = (datetime.now() + timedelta(seconds=i+1)).timestamp()
cq.put_nowait((scheduled_time, f"Event {i+1}"))
async def process_events():
for _ in range(3):
ts, event = await cq.get()
print(f"{datetime.fromtimestamp(ts).isoformat()}: {event}")
async def main():
await asyncio.gather(schedule_events(), process_events())
if __name__ == "__main__":
asyncio.run(main())Calendar is a higher-level abstraction that simplifies working with datetime objects and provides an async iterator:
import asyncio
from datetime import datetime, timedelta
from calendar_queue import Calendar
calendar = Calendar()
async def schedule_events():
for i in range(3):
scheduled_time = datetime.now() + timedelta(seconds=i+1)
calendar.schedule(f"Event {i+1}", when=scheduled_time)
async def process_events():
async for ts, event in calendar:
print(f"{datetime.fromtimestamp(ts).isoformat()}: {event}")
if int(ts) == int((datetime.now() + timedelta(seconds=3)).timestamp()):
calendar.stop()
async def main():
await asyncio.gather(schedule_events(), process_events())
if __name__ == "__main__":
asyncio.run(main())This library is developed using Python 3.11 and pdm as dependency manager.
Testing is done via github actions and it's done on python versions 3.10, 3.11, 3.12, 3.13, 3.14, 3.14t and on latest ubuntu, macos, windows OSes.
For local development you'll need to have pdm installed, then you can:
- run
pdm installto create the virtual environment and install the dependencies - run
pdm venv activateto activate the virtual environment - run the tests using
pytest - run the linter
pylint src
Contributions are welcome! Especially for new tests and for improving documentation and examples.
The code in this project is released under the MIT License.