I am new user of APScheduler. I have a flask application with APScheduler version 3.10.4 and SQLAlchemy version 1.3.23. I am written the following code to schedule some tasks.

The table is created in the database, and when I add the job, a record is also added in the table. But still I am getting the following error:
DEBUG:apscheduler.scheduler:Looking for jobs to run
WARNING:apscheduler.scheduler:Error getting due jobs from job store ‘default’: columns argument to select() must be a Python list or other iterable

Any suggestion on how to resolve this? Thank you

from apscheduler.schedulers.background import BackgroundScheduler
from apscheduler.jobstores.sqlalchemy import SQLAlchemyJobStore
from apscheduler.executors.pool import ThreadPoolExecutor
from apscheduler.events import EVENT_JOB_EXECUTED, EVENT_JOB_ERROR
from apscheduler.triggers.cron import CronTrigger
import pytz
from threading import Thread
from model import db, app, APSchedulerJobsTable
import logging

logging.basicConfig()
logging.getLogger('apscheduler').setLevel(logging.DEBUG)  # APScheduler log level
logging.getLogger('sqlalchemy.engine').setLevel(logging.INFO)

# Define the German timezone
german_timezone = pytz.timezone('Europe/Berlin')

# Initialize the scheduler
# Use the same database for APScheduler
jobstores = {
        'default': SQLAlchemyJobStore(url=app.config['SQLALCHEMY_DATABASE_URI']),
    }

executors = {
        'default': ThreadPoolExecutor(20)
    }

job_defaults = {
        'coalesce': False,
        'max_instances': 3
    }

scheduler = BackgroundScheduler(jobstores=jobstores, executors=executors, job_defaults=job_defaults, timezone=german_timezone)

def job_function():
    print("Job is running!")

# Add a job to the scheduler
scheduler.add_job(job_function, 'interval', seconds=10, id='test_job')

# Listener function for job events
def job_listener(event):
    if event.exception:
        logging.error(f"Job {event.job_id} failed with exception: {event.exception}")
    else:
        logging.info(f"Job {event.job_id} executed successfully")

# Attach the listener to the scheduler to capture job events
scheduler.add_listener(job_listener, EVENT_JOB_EXECUTED | EVENT_JOB_ERROR)

def start_scheduler():
    scheduler.start()

def stop_scheduler():
    scheduler.shutdown()

def run_thread():
    # scheduler.start()
    # scheduler.print_jobs()
    scheduler_thread = Thread(target=start_scheduler)
    scheduler_thread.daemon = True
    scheduler_thread.start()