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DataBridges Python nacl wrapper for databridges library.

Project description

Databridges Python NaCl Wrapper Library

Databridges NACL wrapper gives you a simple write and read function using implementation of the secretbox encryption standard defined in NaCl.

Databridges NACL wrapper is available for

The above wrappers can be used to send encrypted messages between them.

The Databridges NACL wrapper for Python Language binding uses PyNaCl to deliver implementation of the secretbox encryption standard defined in NaCl.

Usage Overview

The following topics are covered:

Supported platforms

Supports Python versions +3.6

Installation.

You can use pip package manager to install the package.

pip3 install databridges_nacl_wrapper

Initialization

from databridges_nacl_wrapper import databridges_nacl_wrapper
secretData = databridges_nacl_wrapper()

Global Configuration

Required

The following is the required properties before using to dataBridges NaCl wrapper.

secretData.secret = '32 char alphanumeric string';
Properties Description
secret (string) 32 char alpha numeric string. NaCl encryption secret.

Encrypt data

To encrypt data using NaCl, databridges wrapper exposes a method named write, This will return encrypted data if successful else it will throw error.

write()

try:
    encData = secretData.write("Your Data.."); 
    print('Encrypted:', encData);
except Exception as err:
    print('Errors:', err.source , err.code , err.message);
Parameter Description
data (string) data to be encrypted.
Return Values Description
string Encrypted string.
Exceptions:
Source Code Description
DBLIB_NACL_WRAPPER INVALID_SECRET secret is not set with the wrapper instance.
DBLIB_NACL_WRAPPER INVALID_DATA If data is not passed to the function.
DBLIB_NACL_WRAPPER NACL_EXCEPTION Exceptions generated by NaCl library.

Decrypt data

To decrypt data using NaCl, databridges wrapper exposes a method named read, This will return decrypted data if successful else it will throw error.

read()

try:
    decData = secretData.read("<Encrypted data.>")
    print('Decrypted:', decData);
except Exception as err:
    print("Errors:", err.source, err.code, err.message)
Parameter Description
data (string) data to be encrypted.
Return Values Description
string Encrypted string.
Exceptions:
Source Code Description
DBLIB_NACL_WRAPPER INVALID_SECRET secret is not set with the wrapper instance.
DBLIB_NACL_WRAPPER INVALID_DATA If data is not passed to the function OR data is not a valid encrypted string.
DBLIB_NACL_WRAPPER NACL_EXCEPTION Exceptions generated by NaCl library.
DBLIB_NACL_WRAPPER NACL_DECRYPT_FAILED If decryption fails due to invalid secret or manipulated data.

How to use with Databridges Python Library

Below code shows how to integrate the NaCl wrapper with the Databridges library. After initialize you can use the wrapper library to encrypt and decrypt the data when publishing and receiving events.

# Initialize both databridges-sio-client-lib and databridges-nacl-wrapper
from  databridges_sio_client_lib import dBridges
from databridges_sio_client_lib.exceptions import dBError
from databridges_nacl_wrapper import databridges_nacl_wrapper

dbridge = dBridges()
secretData = databridges_nacl_wrapper()
secretData.secret = "Your32 char secret.";

# .... Your databridges code comes here.

# On Subscription success event.
async def on_SubscribeChannel(payload, metadata):
    try:
        # Encrypt data to publish
        encData = secretData.write('Your Data..')
        await self.subscribeChannel.publish('eventName', encData, 1)
    except Exception as err:
        print("Error: ", err.source, err.code, err.message)

self.subscribeChannel.bind("dbridges:subscribe.success", on_SubscribeChannel)

# On payload Received event.
async def on_EventReceived(payload, metadata):
    try:
        decData = secretData.read(payload)
        print('Decrypted:', decData);
    except Exception as err:
        print("Error: ", err.source, err.code, err.message) 

self.subscribeChannel.bind("eventName", on_EventReceived)

Change Log

License

DataBridges NaCl Wrapper is released under the MIT license.

    Copyright 2022 Optomate Technologies Private Limited.

    Permission is hereby granted, free of charge, to any person obtaining
    a copy of this software and associated documentation files (the
    "Software"), to deal in the Software without restriction, including
    without limitation the rights to use, copy, modify, merge, publish,
    distribute, sublicense, and/or sell copies of the Software, and to
    permit persons to whom the Software is furnished to do so, subject to
    the following conditions:

    The above copyright notice and this permission notice shall be
    included in all copies or substantial portions of the Software.

    THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
    EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
    MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
    NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE
    LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION
    OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION
    WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

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