Skip to main content

An easy job scheduling interface for flask projects.

Project description

An easy job scheduling interface for flask projects.

Install

pip install flask_jobs

Schedule a job to run ASAP

from flask_jobs import AddJob

def Callback(*args, **kwargs):
    print('The Callback function was called with args=', args, ' and kwargs=', kwargs)

newJob = AddJob(
    func=Callback,
    a=(1, 'two', {'three': '4'}),
    k={'key': 'word'},
)

# The job will be run in a separate thread ASAP.

# You can check the status of your job
print('newJob['status']=', newJob['status']) # will return 'pending' or 'complete' or 'error'
>> newJob['status']= complete

Schedule a job to happen once in the future

from flask_jobs import ScheduleJob
import datetime

def Callback(*args, **kwargs):
    print('The Callback function was called with args=', args, ' and kwargs=', kwargs)

newJob = ScheduleJob(
    dt=datetime.datetime.utcnow() + datetime.timedelta(seconds=10), # all datetimes are in UTC
    func=Callback,
    a=(1, 'two', {'three': '4'}),
    k={'key': 'word'},
)

# The job will be run in a separate thread ASAP.

# You can check the status of your job
print('newJob['status']=', newJob['status']) # will return 'pending' or 'complete' or 'error'
>> newJob['status']= pending
# wait 10 seconds
print('newJob['status']=', newJob['status'])
>> newJob['status']= complete

Schedule a job to repeat indefinitely

from flask_jobs import RepeatJob

def Callback(*args, **kwargs):
    print('The Callback function was called with args=', args, ' and kwargs=', kwargs)

RepeatJob(
    dt=datetime.datetime.utcnow(),
    seconds=30,
    func=JobCallback,
    args=('Repeating',),
    kwargs={'key': 'val'}
)

# All jobs are persistent. Even if you restart your server.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

flask_jobs-0.0.5.tar.gz (4.3 kB view details)

Uploaded Source

Built Distribution

flask_jobs-0.0.5-py3-none-any.whl (4.5 kB view details)

Uploaded Python 3

File details

Details for the file flask_jobs-0.0.5.tar.gz.

File metadata

  • Download URL: flask_jobs-0.0.5.tar.gz
  • Upload date:
  • Size: 4.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/46.4.0 requests-toolbelt/0.9.1 tqdm/4.48.0 CPython/3.8.2

File hashes

Hashes for flask_jobs-0.0.5.tar.gz
Algorithm Hash digest
SHA256 9db624a5ff100539670e7d57f478af490cdb73d70229a29630b324a3e2bc58d5
MD5 2d75d9e900acd78089e2b49a0e5d9e48
BLAKE2b-256 305759d98d53d0130e957fa49029c8713f514ef7c9ea2de804d7453eca1966af

See more details on using hashes here.

File details

Details for the file flask_jobs-0.0.5-py3-none-any.whl.

File metadata

  • Download URL: flask_jobs-0.0.5-py3-none-any.whl
  • Upload date:
  • Size: 4.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/46.4.0 requests-toolbelt/0.9.1 tqdm/4.48.0 CPython/3.8.2

File hashes

Hashes for flask_jobs-0.0.5-py3-none-any.whl
Algorithm Hash digest
SHA256 38eab3cff24c37c9385491695f48e8358d4407990b88e6e2ec61087180fc26d2
MD5 670d39bbb8179ea22b725ee96b822a1a
BLAKE2b-256 922500233dc2a6f0b86ad7101ff57dc9ebe0339e6ee107c00989cf31751bb13a

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page