Python scheduler with task independency from scheduler, executor and others
Project description
Intro
Indecro is a simple framework for job scheduling
All parts are designed to be replaceable.
Main ideas are:
- Task creator doesn't need to know how tasks are implemented or executed
- Persistence may be implemented
- You can choose how jobs will be parallelized and whether they will be parallelized at all
Currently project is in the design stage and any APIs are to be changed
How to use:
Create scheduler
from indecro import Scheduler
from indecro.executor import Executor
from indecro.storage.memory_storage import MemoryStorage
scheduler = Scheduler(
executor=Executor(),
storage=MemoryStorage()
)
Schedule job using decorator-based shortcut (custom job name can be provided for compatibility)
from datetime import datetime, timedelta
from indecro.rules import RunOnce
# Rule, theft control time when scheduled task would be executed
@scheduler.job(rule=RunOnce(at=datetime.now() + timedelta(seconds=10)))
async def some_job():
print('Executing some job..')
Schedule job using direct function
async def some_another_job():
print('Executing some another job..')
scheduler.add_job(
some_another_job,
rule=RunOnce(at=datetime.now() + timedelta(seconds=20))
)
Run scheduler:
await scheduler.run()
More examples of using framework you can find in examples directory
cd examples
ls
Project details
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