mprpc | A fast Python RPC library

by studio-ousia Python Version: 0.1.17 License: Non-SPDX

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

kandi X-RAY | mprpc Summary

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

A fast Python RPC library

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Quality

Security

License

Reuse

Support

mprpc has a low active ecosystem.

It has 328 star(s) with 50 fork(s). There are 18 watchers for this library.

It had no major release in the last 12 months.

There are 6 open issues and 24 have been closed. On average issues are closed in 42 days. There are 7 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of mprpc is 0.1.17

Quality

mprpc has 0 bugs and 0 code smells.

Security

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

mprpc code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

mprpc 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

mprpc 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.

Top functions reviewed by kandi - BETA

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

Call zerpc
Computes the sum of x and y
Call a connection via RPC

Get all kandi verified functions for this library.

mprpc Key Features

No Key Features are available at this moment for mprpc.

mprpc Examples and Code Snippets

No Code Snippets are available at this moment for mprpc.

Community Discussions

Trending Discussions on mprpc

RPC over TCP with multiple clients on same machine

QUESTION

RPC over TCP with multiple clients on same machine

Asked 2018-Jul-25 at 21:45

I'm building an RPC Server in golang that uses msgpack. The client is built in python using the mprpc library (msgpack over TCP with gevent).

My issue is, being an absolute noob in networking, I discovered that I can't use the same address/port with multiple clients running at once on the same computer (socket already bound i guess, it just stalls and timeouts).

I have looked around quite a bit but I'm not sure what I should be doing to be able to have multiple clients on the same machine talk to a server (msgpack back and forth). Is this a case where I need to use ZeroMQ ? Or requests over HTTP ?

Thanks !

...

ANSWER

Answered 2018-Jul-25 at 21:45

TCP is a connection-oriented protocol. This means that only the server needs to have a fixed, known port. The client can use any port it wants, because nobody is making a connection to the client.

So, how does the server know how to talk to the client? Whenever it accepts a connection, it's told who the connection is from. But usually, you don't even need that, because the socket keeps track of who the connection is from. Just recv and send on that socket, and you're talking to the right client.

You should probably read the Socket Programming HOWTO in the Python docs, or some other tutorial, but briefly…

A server starts like this:

Source https://stackoverflow.com/questions/51527846

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

Vulnerabilities

No vulnerabilities reported

Install mprpc

You can install using 'pip install mprpc' or download it from GitHub, PyPI.
You can use mprpc 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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