Skip to main content

PyAMS tasks scheduler

Project description

What is PyAMS?

PyAMS (Pyramid Application Management Suite) is a small suite of packages written for applications and content management with the Pyramid framework.

PyAMS is actually mainly used to manage web sites through content management applications (CMS, see PyAMS_content package), but many features are generic and can be used inside any kind of web application.

All PyAMS documentation is available on ReadTheDocs; source code is available on Gitlab and pushed to Github. Doctests are available in the doctests source folder.

What is PyAMS scheduler?

PyAMS_scheduler is an extension package for PyAMS which can be used to handle tasks scheduling. The kind of tasks that can be scheduled are local commands, remote commands started through SSH, HTTP or HTTPS remote services, REST APIs, SQL commands, files transfers, or custom commands that can be provided by special extension packages; you can also create pipelines, where the output of a command can be used as input for the next command.

The tasks definition is stored into the ZODB, as well as the execution history of each task.

The package relies on ZeroMQ for process synchronisation, and APScheduler for tasks scheduling.

Changelog

1.3.2

  • reset task internal ID after cloning

  • corrected check on request registry when removing task

1.3.1

  • added and updated task add and edit forms AJAX renderer

  • Pylint updates

1.3.0

  • updated tasks notifications management, to be able to add new notifications modes easily

  • moved all task related interfaces to pyams_scheduler.interfaces.task module

1.2.1

  • corrected timezone error in task history check

  • added missing “context” argument to permission check

  • small updates in tasks management forms

1.2.0

  • removed support for Python < 3.7

  • updated synchronizer exceptions

  • updated FTP synchronizer handler

1.1.1

  • updated scheduler generations updater order

1.1.0

  • added task copy hook

  • added action to duplicate an existing task

1.0.1

  • updated Gitlab-CI configuration

  • removed Travis-CI configuration

1.0.0

  • initial release

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

pyams_scheduler-1.3.2.tar.gz (58.0 kB view details)

Uploaded Source

Built Distributions

pyams_scheduler-1.3.2-py3.9.egg (180.3 kB view details)

Uploaded Source

pyams_scheduler-1.3.2-py3.8.egg (180.1 kB view details)

Uploaded Source

pyams_scheduler-1.3.2-py3.7.egg (179.2 kB view details)

Uploaded Source

pyams_scheduler-1.3.2-py3-none-any.whl (95.2 kB view details)

Uploaded Python 3

File details

Details for the file pyams_scheduler-1.3.2.tar.gz.

File metadata

  • Download URL: pyams_scheduler-1.3.2.tar.gz
  • Upload date:
  • Size: 58.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.1 CPython/3.7.10

File hashes

Hashes for pyams_scheduler-1.3.2.tar.gz
Algorithm Hash digest
SHA256 fdec56ed17259bc71c03ade00789c47782d147e30432a0f5449bb90ef80ecfc4
MD5 622d73ae757b054be778c7a0facb76c5
BLAKE2b-256 3a3c35729c857609233e7c7099c1975806ffa628dec02a786d5f28481c5fb8de

See more details on using hashes here.

File details

Details for the file pyams_scheduler-1.3.2-py3.9.egg.

File metadata

  • Download URL: pyams_scheduler-1.3.2-py3.9.egg
  • Upload date:
  • Size: 180.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.1 CPython/3.9.5

File hashes

Hashes for pyams_scheduler-1.3.2-py3.9.egg
Algorithm Hash digest
SHA256 56e2bbeaeb47b017c15e86ea09331029f5af87750d710e12cc29fdc4b599fda3
MD5 e0c6b7e1b58da41f0a0e2c0d15340409
BLAKE2b-256 4f48d585a1a082857f74557c9ac095324e1e2656e73f4485d8215e6f370d6474

See more details on using hashes here.

File details

Details for the file pyams_scheduler-1.3.2-py3.8.egg.

File metadata

  • Download URL: pyams_scheduler-1.3.2-py3.8.egg
  • Upload date:
  • Size: 180.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.1 CPython/3.8.10

File hashes

Hashes for pyams_scheduler-1.3.2-py3.8.egg
Algorithm Hash digest
SHA256 55afc8abf031c24bf65cd9d1fb0091f601363de10dccd0d0c3ab984bb27bcf03
MD5 40247948e9055ee15b518e0361e1b450
BLAKE2b-256 51662732424324a3fb4c779788929ba8060b568fdfb66899112e02386bb2644f

See more details on using hashes here.

File details

Details for the file pyams_scheduler-1.3.2-py3.7.egg.

File metadata

  • Download URL: pyams_scheduler-1.3.2-py3.7.egg
  • Upload date:
  • Size: 179.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.1 CPython/3.7.10

File hashes

Hashes for pyams_scheduler-1.3.2-py3.7.egg
Algorithm Hash digest
SHA256 6e62619c31b24adb0685117b114447fbf625c230b2e684c7c3e7d6e492e148cb
MD5 ced514deeefe10af31ca66c59048dd81
BLAKE2b-256 6c8328d236c460cc97c321f77341d1b0bed3258e9674c9d01b094ba90e1924ed

See more details on using hashes here.

File details

Details for the file pyams_scheduler-1.3.2-py3-none-any.whl.

File metadata

  • Download URL: pyams_scheduler-1.3.2-py3-none-any.whl
  • Upload date:
  • Size: 95.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.1 CPython/3.7.10

File hashes

Hashes for pyams_scheduler-1.3.2-py3-none-any.whl
Algorithm Hash digest
SHA256 d842c1a1a7f1ddf0758874aec0ccb1408aec84ad1fba1e6f8f1dcb00c264b4c0
MD5 56f704e887cf3c3cc52096e181c96811
BLAKE2b-256 5aa6433f0d445f8ebfc37df715be7f0d665f7a15f04ea79bb82bf494dce9491e

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