Skip to main content

Those simple Node and Python packages with will let you easy run Python for Node

Project description

Colab

Those simple Node and Python packages with will let you easy run Python for Node

Builded on top of zeroRPC

To run this package corectly you need to use both node and python versions

Features

  • Call Python functions from node
  • Decorate Python functions to get better results

Installing

Using npm:

$ npm install node-python-collaboration

Using pip:

$ pip install nodePythonCollaboration

Quick start

Node client side (with sync setup)

const colab = require('node-python-collaboration')

// Configure methods object synchronously
const methods = colab([
    ['test_method', false],
],
/*options*/
)

// Call some methods
methods.test_method(1)
    .then(res => console.log(res)) // logs 2
    .catch(err => console.log(err)) 

Node client side (with async setup)

Note that in async setup client get methods from python server

const colab = require('node-python-collaboration')

async function main() {
    try {
        // Configure methods object asynchronously
        const methods = await colab.asyncInit(/*options*/)

        // Call some methods
        console.log(await methods.test_method(1)) // logs 2

    } catch(err) {
        console.log(err)
    }
}

main()

Python server side

import nodePythonCollaboration as colab

# Define main class with methods
class main():
    def test_method(self,x):
    return x + 1

# Start Python server with those methods
colab.start(main)

Colab functions

In Node.js:


colab(methodsArr, { options })

Returns an object with properties that are functions with the names given in method_name

methodsArr

    [
        [method_name, method_type],
        [method_name, method_type]
        ...
    ]

options optional need to match up with python ones

    // those are default options
    {
        port: '4242',
        server: '127.0.0.1' // it is recommended not to change
    }

Example

    methods = colab([
        ['test_method', false],
        ['test_method_2', false]
    ],{
        port: '4242'
    })
    // Do some stuff with methods

OR

    methods = colab([
        ['test_method', false],
        ['test_method_2', false]
    ])
    // Do some stuff with methods

colab.asyncInit({ options })

Returns a promise when promise is resolved promise returns methods

In async init we don't need to give methodsArr because colab asks for available methods our Python server

Example

    colab.asyncInit(/*options*/)
        .then((methods) => {
            // Do some stuff with methods
        })

better way to do this async/await

async function main() {
    methods = await colab.asyncInit(/*options*/)
    // Do some stuff with methods

}

main()

methods

  • Types

    • false

      the fastest

      [
          [method_name, false]
      ]
      

      This is just normal method nothing special

    • complexFile

      slower

      [
          [method_name, 'complexFile']
      ]
      

      If you are getting error "OverflowError: Python int too large to convert to C unsigned long"
      then this is the solution remember that on python side you need to use method decorator

      Basically what it does: python saves the output to the file located in /data folder and then sends the name of the file to node so node can read the file and then delete it

    • bigComputation

      the slowest

      [
          [method_name, 'bigComputation']
      ]
      

      If you are getting error "HeartbeatError: Lost remote after 10000ms"
      then this is the solution remember that on python side you need to use method decorator

      Basically what it does: python runs your function in another process so it don't bock the main process then it saves the output to the file

  • Overview

    • returns a promise
    • executes python function in python
    • arguments given to the method are passed to the python
  • Example

    const colab = require('node-python-collaboration')
    colab([
        ['test_method',false]
    ])
    .then(methods => {
        methods.test_method(1)
        .then(response => console.log(response)) //logs 2
    })
    

    better way to do this async/await

    const colab = require('node-python-collaboration')
    
    async function main() {
        methods = await colab.asyncInit()
        console.log(methods.test_method(1)) //logs 2
    }
    main()
    

In Python:


colab.start(class, optionsArr)

Starts up python server with methods in class default on 127.0.0.1:4242

class

class main():
    def test_method(self,x):
    return x + 1

now method "test_method" is available

optionsArr optional

optionsArr = [ data_folder_path, server_ip_and_port ]

#defining new data flder path
optionsArr = [ './test/test/data' ]

#defining new server port (data folder path stay default)
optionsArr = [ None, ':5323']

#defining new server ip and port (data folder path stay default)
optionsArr = [ None, '0.0.0.0:5323'] # it's very not recommeded to change ip, in most cases it won't run

colab decorators

They are described above in node section

  • @colab.complexFile
  • @colab.bigComputation

Example

import nodePythonCollaboration as colab
from math import factorial
from time import sleep

class main():

    def Example(self, x, y):
        return x + y # Just simple computation

    @colab.complexFile
    def Example_complexFile(self, x):
        return factorial(x) # In most cases that will be very big number

    @colab.bigComputation
    def Example_bigComputation(self, x, y):
        for i in range(11):
            print(i + 1)
            sleep(1) # Simulating big computation
        return x + y


colab.start(main)

Node and Python:

Example

server code

import nodePythonCollaboration as colab # import colab
from math import factorial
from time import sleep

class main(): # define methods

    def Example(self, x, y):
        return x + y 

    @colab.complexFile
    def Example_complexFile(self, x):
        return factorial(x)

    @colab.bigComputation
    def Example_bigComputation(self, x, y):
        for i in range(11):
            print(i + 1)
            sleep(1)
        return x + y


colab.start(main) # start server with default options

client code

const colab = require('node-python-collaboration') // import colab

async function main() {
    try {
        // Configure methods object asynchronously with default options
        const methods = await colab.asyncInit()

        console.log(await methods.Example(2, 2)) //logs 4
        console.log(await methods.Example_complexFile(10000)) //logs 2846259680917054518906413212119868890148051401702799230794179994274411340003764443772990786757784775815884062142317528830042339940...
        console.log(await methods.Example_bigComputation(2, 2)) //after 11s logs 4

    } catch(err) {
        console.log(err)
    }
}

main()

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for nodePythonCollaboration, version 0.0.3
Filename, size File type Python version Upload date Hashes
Filename, size nodePythonCollaboration-0.0.3-py3-none-any.whl (5.7 kB) File type Wheel Python version py3 Upload date Hashes View
Filename, size nodePythonCollaboration-0.0.3.tar.gz (5.0 kB) File type Source Python version None Upload date Hashes View

Supported by

Pingdom Pingdom Monitoring Google Google Object Storage and Download Analytics Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page