celery-monitor | The celery monitor app was written by Django | Monitoring library

 by   jimmy201602 Python Version: Current License: GPL-3.0

kandi X-RAY | celery-monitor Summary

kandi X-RAY | celery-monitor Summary

celery-monitor is a Python library typically used in Performance Management, Monitoring, Ansible, RabbitMQ applications. celery-monitor has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

Celery task monitoring and management application. This project aims to replace the celery monitor tools flower.Celery monitor aims to integrate django and celery monitor.
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            kandi-support Support

              celery-monitor has a low active ecosystem.
              It has 90 star(s) with 42 fork(s). There are 12 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 0 open issues and 2 have been closed. On average issues are closed in 129 days. There are 2 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of celery-monitor is current.

            kandi-Quality Quality

              celery-monitor has 0 bugs and 0 code smells.

            kandi-Security Security

              celery-monitor has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              celery-monitor code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              celery-monitor is licensed under the GPL-3.0 License. This license is Strong Copyleft.
              Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

            kandi-Reuse Reuse

              celery-monitor releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              celery-monitor saves you 120923 person hours of effort in developing the same functionality from scratch.
              It has 127948 lines of code, 132 functions and 627 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed celery-monitor and discovered the below as its top functions. This is intended to give you an instant insight into celery-monitor implemented functionality, and help decide if they suit your requirements.
            • Poll the queue
            • Normalize filename
            • Reload the model
            • Reload modules
            • Reload a module
            • Deepcopy a module dictionary
            • Return a list of workers
            • Return a list of worker statuses
            • Returns a list of active queues
            • Run the scan loop
            • Scans the modules
            • Render field renderer
            • Render the widget
            • Execute a command
            • Return the type of a nested method
            • Return the registered registered tasks
            • List of registered tasks
            • Render a single option
            • Reverse url
            Get all kandi verified functions for this library.

            celery-monitor Key Features

            No Key Features are available at this moment for celery-monitor.

            celery-monitor Examples and Code Snippets

            No Code Snippets are available at this moment for celery-monitor.

            Community Discussions

            QUESTION

            Django celery monitor doesn't show any tasks
            Asked 2018-Jun-09 at 21:53

            I cannot see the tasks in admin. I followed the steps in https://github.com/jezdez/django-celery-monitor

            I used

            ...

            ANSWER

            Answered 2018-Jun-07 at 09:23

            Running celery command with -E to force event worked for me.

            celery -A proj worker -l info -E

            Source https://stackoverflow.com/questions/50736011

            QUESTION

            RabbitMQ or Redis exploding Celery queues with Django 2.0
            Asked 2018-Mar-19 at 17:47

            I am encountering a problem with celery and Django 2. I have two running environments:

            • Production: requirements.txt => No Issue

              • amqp==2.2.2
              • django==1.11.6
              • celery==4.1.0
              • django-celery-beat==1.0.1
              • django-celery-monitor==1.1.2
              • kombu==4.1.0
              • redis==2.10.6
            • Development: requirements.txt =>Issue Present

              • amqp==2.2.2
              • django==2.0.3
              • celery==4.1.0
              • django-celery-beat==1.1.1
              • django-celery-monitor==1.1.2
              • kombu==4.1.0
              • redis==2.10.6

            The production environment should be migrated to Django 2.0 as soon as possible. However, I can't do it without fixing this issue with Celery. My development environment is here to insure that everything is running fine before upgrading production servers.

            The question
            1. What changed with Django 2 to make a system, which was stable with Django 1.11, unstable with exploding queue sizes, with the same effect in RabbitMQ and Redis?

            2. If any task is not consumed, how could it be automatically deleted by Redis/RabbitMQ ?

            Celery Worker is launched as followed

            The exact same command is used for both environment.

            ...

            ANSWER

            Answered 2018-Mar-19 at 17:47

            I think I have found a temporary solution, it seems that the celery library have some bugs. We have to wait for the 4.2.0 release.

            I recommend having a look to: https://github.com/celery/celery/issues/#4041.

            As a temporary bug fix, I recommend using the following commit: https://github.com/celery/celery/commit/be55de6, it seems to have fixed the issue:

            Source https://stackoverflow.com/questions/49364102

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

            Vulnerabilities

            No vulnerabilities reported

            Install celery-monitor

            You can download it from GitHub.
            You can use celery-monitor 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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            CLONE
          • HTTPS

            https://github.com/jimmy201602/celery-monitor.git

          • CLI

            gh repo clone jimmy201602/celery-monitor

          • sshUrl

            git@github.com:jimmy201602/celery-monitor.git

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