pyramid_celery | Pyramid configuration with celery integration

by sontek Python Version: Current License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | pyramid_celery Summary

pyramid_celery is a Python library typically used in Logging, Ansible applications. pyramid_celery has no bugs, it has no vulnerabilities, it has build file available and it has low support. However pyramid_celery has a Non-SPDX License. You can install using 'pip install pyramid_celery' or download it from GitHub, PyPI.

Pyramid configuration with celery integration. Allows you to use pyramid .ini files to configure celery and have your pyramid configuration inside celery tasks.

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Quality

Security

License

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Support

pyramid_celery has a low active ecosystem.

It has 99 star(s) with 63 fork(s). There are 12 watchers for this library.

It had no major release in the last 6 months.

There are 9 open issues and 32 have been closed. On average issues are closed in 359 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of pyramid_celery is current.

Quality

pyramid_celery has 0 bugs and 0 code smells.

Security

pyramid_celery has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

pyramid_celery code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

pyramid_celery has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

pyramid_celery releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

pyramid_celery saves you 249 person hours of effort in developing the same functionality from scratch.

It has 648 lines of code, 40 functions and 20 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed pyramid_celery and discovered the below as its top functions. This is intended to give you an instant insight into pyramid_celery implemented functionality, and help decide if they suit your requirements.

Configure your application
Read celery configuration
Setup celery
Get the heartbeat configuration
Get route configuration
Safely parse a value in a section
Convert a configuration dictionary to boolean values
Deletes a task from the database
Delete task from database
Print usage information

Get all kandi verified functions for this library.

pyramid_celery Key Features

No Key Features are available at this moment for pyramid_celery.

pyramid_celery Examples and Code Snippets

No Code Snippets are available at this moment for pyramid_celery.

Community Discussions

Trending Discussions on pyramid_celery

celery beat timezone problems

QUESTION

celery beat timezone problems

Asked 2018-Apr-05 at 09:36

So, I have been using celery/beat for a number of years, and have been ofsetting manually, the schedule of my tasks due to DST issues etc. As my codebase has become larger, the script that I run to change the times is getting bigger and bigger, and I have decided to sort the problem out.

So in short, my system clock updates automatically, from my shell I can run:

...

ANSWER

Answered 2018-Apr-05 at 09:36

Turns out this was a bug with celery, fixed here

Source https://stackoverflow.com/questions/49557721

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install pyramid_celery

You can install using 'pip install pyramid_celery' or download it from GitHub, PyPI.
You can use pyramid_celery like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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