I\'m working on a Django app. I have an API endpoint, which if requested, must carry out a function that must be repeated a few times (until a certain condition is true). Ho
This answer expands on Oz123's answer a little bit.
In order to get things working, I created a file called mainapp/jobs.py
to contain my scheduled jobs. Then, in my apps.py
module, I put from . import jobs
in the ready
method. Here's my entire apps.py
file:
from django.apps import AppConfig
import os
class MainappConfig(AppConfig):
name = 'mainapp'
def ready(self):
from . import jobs
if os.environ.get('RUN_MAIN', None) != 'true':
jobs.start_scheduler()
(The RUN_MAIN
check is because python manage.py runserver runs the ready method twice—once in each of two processes—but we only want to run it once.)
Now, here's what I put in my jobs.py
file. First, the imports. You'll need to import Scheduler
, threading
and time
as below. The F
and UserHolding
imports are just for what my job does; you won't import these.
from django.db.models import F
from schedule import Scheduler
import threading
import time
from .models import UserHolding
Next, write the function you want to schedule. The following is purely an example; your function won't look anything like this.
def give_admin_gold():
admin_gold_holding = (UserHolding.objects
.filter(inventory__user__username='admin', commodity__name='gold'))
admin_gold_holding.update(amount=F('amount') + 1)
Next, monkey-patch the schedule
module by adding a run_continuously
method to its Scheduler
class. Do this by using the below code, which is copied verbatim from Oz123's answer.
def run_continuously(self, interval=1):
"""Continuously run, while executing pending jobs at each elapsed
time interval.
@return cease_continuous_run: threading.Event which can be set to
cease continuous run.
Please note that it is *intended behavior that run_continuously()
does not run missed jobs*. For example, if you've registered a job
that should run every minute and you set a continuous run interval
of one hour then your job won't be run 60 times at each interval but
only once.
"""
cease_continuous_run = threading.Event()
class ScheduleThread(threading.Thread):
@classmethod
def run(cls):
while not cease_continuous_run.is_set():
self.run_pending()
time.sleep(interval)
continuous_thread = ScheduleThread()
continuous_thread.setDaemon(True)
continuous_thread.start()
return cease_continuous_run
Scheduler.run_continuously = run_continuously
Finally, define a function to create a Scheduler
object, wire up your job, and call the scheduler's run_continuously
method.
def start_scheduler():
scheduler = Scheduler()
scheduler.every().second.do(give_admin_gold)
scheduler.run_continuously()
For many small projects celery is overkill. For those projects you can use schedule, it's very easy to use.
With this library you can make any function execute a task periodically:
import schedule
import time
def job():
print("I'm working...")
schedule.every(10).minutes.do(job)
schedule.every().hour.do(job)
schedule.every().day.at("10:30").do(job)
schedule.every().monday.do(job)
schedule.every().wednesday.at("13:15").do(job)
while True:
schedule.run_pending()
time.sleep(1)
The example runs in a blocking manner, but if you look in the FAQ, you will find that you can also run tasks in a parallel thread, such that you are not blocking, and remove the task once not needed anymore:
from schedule import Scheduler
def run_continuously(self, interval=1):
"""Continuously run, while executing pending jobs at each elapsed
time interval.
@return cease_continuous_run: threading.Event which can be set to
cease continuous run.
Please note that it is *intended behavior that run_continuously()
does not run missed jobs*. For example, if you've registered a job
that should run every minute and you set a continuous run interval
of one hour then your job won't be run 60 times at each interval but
only once.
"""
cease_continuous_run = threading.Event()
class ScheduleThread(threading.Thread):
@classmethod
def run(cls):
while not cease_continuous_run.is_set():
self.run_pending()
time.sleep(interval)
continuous_thread = ScheduleThread()
continuous_thread.setDaemon(True)
continuous_thread.start()
return cease_continuous_run
Scheduler.run_continuously = run_continuously
Here is an example for usage in a class method:
def foo(self):
...
if some_condition():
return schedule.CancelJob # a job can dequeue it
# can be put in __enter__ or __init__
self._job_stop = self.scheduler.run_continuously()
logger.debug("doing foo"...)
self.foo() # call foo
self.scheduler.every(5).seconds.do(
self.foo) # schedule foo for running every 5 seconds
...
# later on foo is not needed any more:
self._job_stop.set()
...
def __exit__(self, exec_type, exc_value, traceback):
# if the jobs are not stop, you can stop them
self._job_stop.set()
I recommend you use Celery's task management. You can refer this to set up this app (package if you're from javaScript background).
Once set, you can alter the code to:
@app.task
def check_shut_down():
if not some_fun():
# add task that'll run again after 2 secs
check_shut_down.delay((), countdown=3)
else:
# task completed; do something to notify yourself
return True