Flask-RQ2 | A Flask extension for RQ | Job Scheduling library
kandi X-RAY | Flask-RQ2 Summary
kandi X-RAY | Flask-RQ2 Summary
Flask-RQ2 is a Python library typically used in Data Processing, Job Scheduling applications. Flask-RQ2 has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.
A Flask extension for RQ.
A Flask extension for RQ.
Support
Quality
Security
License
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Support
Flask-RQ2 has a low active ecosystem.
It has 181 star(s) with 34 fork(s). There are 7 watchers for this library.
It had no major release in the last 6 months.
There are 16 open issues and 34 have been closed. On average issues are closed in 101 days. There are 8 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of Flask-RQ2 is current.
Quality
Flask-RQ2 has 0 bugs and 0 code smells.
Security
Flask-RQ2 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
Flask-RQ2 code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
Flask-RQ2 is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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Flask-RQ2 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.
Flask-RQ2 saves you 478 person hours of effort in developing the same functionality from scratch.
It has 1126 lines of code, 111 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 Flask-RQ2 and discovered the below as its top functions. This is intended to give you an instant insight into Flask-RQ2 implemented functionality, and help decide if they suit your requirements.
- Add values to the queue
- Queue a job
- Get a queue instance
- Invoke a worker
- Returns a dictionary of options that can be used to instantiate a job
- Run scheduler
- Get a Scheduler instance
- Returns redis connection
- Returns a connection object
- Show information about the queue
- Empty queues
- Requeue jobs
- Suspends execution
- Resume paused actions
- Create an example Flask application
Get all kandi verified functions for this library.
Flask-RQ2 Key Features
No Key Features are available at this moment for Flask-RQ2.
Flask-RQ2 Examples and Code Snippets
No Code Snippets are available at this moment for Flask-RQ2.
Community Discussions
Trending Discussions on Flask-RQ2
QUESTION
How does FLASK-RQ2 calls a function using the job decorator
Asked 2019-Dec-17 at 15:26
Hello I am new to Redis and Redis Queue I am trying to use the Flask-RQ2 library to execute a function but my function is not executing when I add my function to the queue Looking at Flask-RQ2 it includes a callable so why is my function not being executed
...ANSWER
Answered 2019-Dec-17 at 15:26You have to actually start a worker to run the jobs.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Flask-RQ2
You can download it from GitHub.
You can use Flask-RQ2 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.
You can use Flask-RQ2 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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