tornado-celery | blocking Celery client for Tornado web framework | Web Framework library

by mayflaver Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | tornado-celery Summary

tornado-celery is a Python library typically used in Server, Web Framework applications. tornado-celery has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

tornado-celery is a non-blocking Celery client for Tornado web framework.

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Quality

Security

License

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Support

tornado-celery has a low active ecosystem.

It has 36 star(s) with 5 fork(s). There are 7 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. On average issues are closed in 1852 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of tornado-celery is current.

Quality

tornado-celery has 0 bugs and 0 code smells.

Security

tornado-celery has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

tornado-celery code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

tornado-celery does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

tornado-celery 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.

Installation instructions are not available. Examples and code snippets are available.

tornado-celery saves you 12 person hours of effort in developing the same functionality from scratch.

It has 35 lines of code, 3 functions and 3 files.

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

Top functions reviewed by kandi - BETA

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

Wraps a task .
Callback for when a result is received .
Evaluate strs .

Get all kandi verified functions for this library.

tornado-celery Key Features

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

tornado-celery Examples and Code Snippets

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

Community Discussions

Trending Discussions on tornado-celery

Returning the result of celery task to the client in Django template

How to use Celery in Tornado with redis as broker and backend?

QUESTION

Returning the result of celery task to the client in Django template

Asked 2018-Apr-05 at 22:43

So I'm trying to accomplish the following. User browses webpage and at the sime time there is a task running in the background. When the task completes it should return args where one of args is flag: True in order to trigger a javascript and javascript shows a modal form.

I tested it before without async tasks and it works, but now with celery it just stores results in database. I did some research on tornado-celery and related stuff but some of components like tornado-redis is not mantained anymore so it would not be vise in my opinion to use that.

So what are my options, thanks?

...

ANSWER

Answered 2018-Apr-05 at 22:43

If I understand you correctly, then you want to communicate something from the server side back to the client. You generally have three options for that:

1) Make a long pending request to the server - kinda bad. Jumping over the details, it will bog down your web server if not configured to handle that, it will make your site score low on performance tests and if the request fails, everything fails.
2) Poll the server with numerous requests with a time interval (0.2 s, something like that) - better. It will increase the traffic, but the requests will be tiny and will not interfere with the site's performance very much. If you instate a long interval to not load the server with pointless requests, then the users will see the data with a bit of a delay. On the upside this will not fail (if written correctly) even if the connection is interrupted.
3) Websockets where the server can just hit the client with any message whenever needed - nice, but takes some time to get used to. If you want to try, you can use django-channels which is a nice library for Django websockets.

If I did not understand you correctly and this is not the problem at hand and you are figuring how to get data back from a Celery task to Django, then you can store the Celery task ID-s and use the ID-s to first check, if the task is completed and then query the data from Celery.

Source https://stackoverflow.com/questions/49680845

QUESTION

How to use Celery in Tornado with redis as broker and backend?

Asked 2017-Aug-24 at 03:33

It raises an exception when I try to use celery3.1.11, tornado-celery0.3.5 in Tornado4.2 with yield. It works without the yield, but cannot get the result asynchronous...I also find it works when I use rabbitmq as a broker, while redis will raise the below error...

Here is my code.

...

ANSWER

Answered 2017-Aug-18 at 23:24

The limited docs about tcelery doesn't explain much and your example doesn't show much either. From the limited docs, it does seem like you're using it as intended (unless I'm missing something) so I'm not sure why your code is not working. I've been successful with the following method:

Source https://stackoverflow.com/questions/45747299

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

Vulnerabilities

No vulnerabilities reported

Install tornado-celery

You can download it from GitHub.
You can use tornado-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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