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"""
This is an example demonstrating the use of the scheduler as only an interface to the
scheduling system. This script adds or updates a single schedule and then exits. To see
the schedule acted on, you need to run the corresponding worker script (either
async_worker.py or sync_worker.py).
This script requires the "postgresql" service to be running.
To install prerequisites: pip install sqlalchemy asyncpg
To run: python async_scheduler.py
"""
from __future__ import annotations
import asyncio
import logging
from example_tasks import tick
from sqlalchemy.ext.asyncio import create_async_engine
from apscheduler.datastores.sqlalchemy import SQLAlchemyDataStore
from apscheduler.eventbrokers.asyncpg import AsyncpgEventBroker
from apscheduler.schedulers.async_ import AsyncScheduler
from apscheduler.triggers.interval import IntervalTrigger
async def main():
engine = create_async_engine(
"postgresql+asyncpg://postgres:secret@localhost/testdb"
)
data_store = SQLAlchemyDataStore(engine)
event_broker = AsyncpgEventBroker.from_async_sqla_engine(engine)
# Uncomment the next two lines to use the Redis event broker instead
# from apscheduler.eventbrokers.redis import RedisEventBroker
# event_broker = RedisEventBroker.from_url("redis://localhost")
async with AsyncScheduler(data_store, event_broker) as scheduler:
await scheduler.add_schedule(tick, IntervalTrigger(seconds=1), id="tick")
# Note: we don't actually start the scheduler here!
logging.basicConfig(level=logging.INFO)
asyncio.run(main())
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