VineyS / flask-apscheduler

Adds APScheduler support to Flask

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Flask-APScheduler

Flask-APScheduler is a Flask extension which adds support for the APScheduler.

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Features

  • Loads scheduler configuration from Flask configuration.
  • Loads job definitions from Flask configuration.
  • Allows to specify the hostname which the scheduler will run on.
  • Provides a REST API to manage the scheduled jobs.
  • Provides authentication for the REST API.

Installation

You can install Flask-APScheduler via Python Package Index (PyPI),:

pip install Flask-APScheduler

Documentation

Setup

  • Create a flask application. For an example, see this tutorial
  • Import and initialize Flask-APScheduler
  • Set any configuration needed

A basic example will looks like this.

from flask import Flask
# import Flask-APScheduler
from flask_apscheduler import APScheduler

# set configuration values
class Config(object):
    SCHEDULER_API_ENABLED = True

# create app
app = Flask(__name__)
app.config.from_object(Config())

# initialize scheduler
scheduler = APScheduler()
# if you don't wanna use a config, you can set options here:
# scheduler.api_enabled = True
scheduler.init_app(app)
scheduler.start()


if __name__ == '__main__':
    app.run()

Adding Jobs

Jobs can be added to the scheduler when the app starts. They are created in decorated functions, which should be imported before app.run() is called.

# interval example
@scheduler.task('interval', id='do_job_1', seconds=30, misfire_grace_time=900)
def job1():
    print('Job 1 executed')


# cron examples
@scheduler.task('cron', id='do_job_2', minute='*')
def job2():
    print('Job 2 executed')


@scheduler.task('cron', id='do_job_3', week='*', day_of_week='sun')
def job3():
    print('Job 3 executed')

Jobs can also be added after you app is running

scheduler.add_job(**args)

If you wish to use anything from your Flask app context inside the job you can use something like this

def blah():
    with scheduler.app.app_context():
        # do stuff

Logging

All scheduler events can be used to trigger logging functions. See APScheduler for a list of available events.

If you are using your Flask app context inside of a function triggered by a scheduler event can include something like this

def blah():
    with scheduler.app.app_context():
        # do stuff

scheduler.add_listener(blah, EVENT_JOB_EXECUTED | EVENT_JOB_ERROR)

API

Flask-APScheduler comes with a build-in API. This can be enabled/disabled in your flask configuration.

SCHEDULER_API_ENABLED: True
  • /scheduler [GET] > returns basic information about the webapp
  • /scheduler/jobs [POST json job data] > adds a job to the scheduler
  • /scheduler/jobs/<job_id> [GET] > returns json of job details
  • /scheduler/jobs [GET] > returns json with details of all jobs
  • /scheduler/jobs/<job_id> [DELETE] > deletes job from scheduler
  • /scheduler/jobs/<job_id> [PATCH json job data] > updates an already existing job
  • /scheduler/jobs/<job_id>/pause [POST] > pauses a job, returns json of job details
  • /scheduler/jobs/<job_id>/resume [POST] > resumes a job, returns json of job details
  • /scheduler/jobs/<job_id>/run [POST] > runs a job now, returns json of job details

Scheduler

Other commands can be passed to the scheduler and are rather self explainatory:

  • scheduler.start()
  • scheduler.shutdown()
  • scheduler.pause() > stops any job from starting. Already running jobs not affected.
  • scheduler.resume() > allows scheduled jobs to begin running.
  • scheduler.add_listener(<callback function>,<event>)
  • scheduler.remove_listener(<callback function>)
  • scheduler.add_job(<id>,<function>, **kwargs)
  • scheduler.remove_job(<id>, **<jobstore>)
  • scheduler.remove_all_jobs(**<jobstore>)
  • scheduler.get_job(**<jobstore>)
  • scheduler.modify_job(<id>,**<jobstore>, **kwargs)
  • scheduler.pause_job(<id>, **<jobstore>)
  • scheduler.resume_job(<id>, **<jobstore>)
  • scheduler.run_job(<id>, **<jobstore>)
  • scheduler.authenticate(<function>)

Configuration

Configuration options specific to Flask-APScheduler:

SCHEDULER_API_ENABLED: <True or False>

Other configuration options are included from APScheduler

Tips

When running Flask-APScheduler on a wsgi process only 1 worker should be enabled. APScheduler 3.0 will only work with a single worker process. Jobstores cannot be shared among multiple schedulers.

See APScheduler's documentation for further help.

Take a look at the examples to see how it works.

Also take a look at COMMON-ISSUES.md for help.

Feedback

Please use the Issues for feature requests and troubleshooting usage.

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Adds APScheduler support to Flask

License:Apache License 2.0


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