rabbitpy | pure python | Reactive Programming library

by gmr Python Version: 1.0.0 License: BSD-3-Clause

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

kandi X-RAY | rabbitpy Summary

rabbitpy is a Python library typically used in Programming Style, Reactive Programming, RabbitMQ applications. rabbitpy 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, GitLab.

A pure python, thread-safe, minimalistic and pythonic RabbitMQ client library

Support

Quality

Security

License

Reuse

Support

rabbitpy has a low active ecosystem.

It has 233 star(s) with 59 fork(s). There are 16 watchers for this library.

It had no major release in the last 12 months.

There are 18 open issues and 82 have been closed. On average issues are closed in 423 days. There are 4 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of rabbitpy is 1.0.0

Quality

rabbitpy has 0 bugs and 0 code smells.

Security

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

rabbitpy code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

rabbitpy is licensed under the BSD-3-Clause License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

rabbitpy releases are available to install and integrate.

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

It has 3852 lines of code, 547 functions and 34 files.

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

Top functions reviewed by kandi - BETA

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

Process a URL
Create value from keys and values
Return an integer value from a query args
Return the value of a key from a list of values
Consume messages
Cancel a Kafka consumer
Cancel consuming
Interrupt the wait on frame
Start the IOLoop thread
Publish a message
Consume messages from a queue
Close the connection
Declare a queue
Deprecated method
Send a Consume message
Declare an exchange
Commit the transaction
Bind to a queue
Bind an exchange
Send a Nack message
Set QoS
Invoked when an error occurs
Creates a queue
Poll the queue for write events
Connects to the socket
Process received data

Get all kandi verified functions for this library.

rabbitpy Key Features

No Key Features are available at this moment for rabbitpy.

rabbitpy Examples and Code Snippets

No Code Snippets are available at this moment for rabbitpy.

Community Discussions

Trending Discussions on rabbitpy

rabbitpy message loop seems to consume massive memory

QUESTION

rabbitpy message loop seems to consume massive memory

Asked 2017-Feb-05 at 13:55

Using the standard procedure (for loop) as seen in the examples we found that there is a lot of memory used on the machine. I.e. it seems that all the messages in the queue are loaded into memory and also acknowledged. This approach is here. I assumed the queue would be a generator.

...

ANSWER

Answered 2017-Feb-05 at 13:55

It looks like what you need is to set the prefetch property when consuming the queue. Instead of:

Source https://stackoverflow.com/questions/41963821

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

Vulnerabilities

No vulnerabilities reported

Install rabbitpy

You can download it from GitHub, GitLab.
You can use rabbitpy 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 .

Find more information at: