Skip to main content

An utility library for separating individual messages in a stream

Project description

DataChunk is an useful library for proessing messages in a stream where messages are sent in a stream as shown below: <msg-size><msg-bytes><msg-size><msg-bytes><msg-size>…. msg-size is a 4 byte integer (little-endian) whenever a complete message is read, DataChunk calls the handle_msg method of the handler.

A message may come in fragments. Sometimes many messages may come in a single data packet. All we need to do is to call process_chunk method of DataChunk and DataChunk object will take care of re-assembling the messages as and when needed.

Basic example

from __future__ import print_function
from struct import pack
import random
from datachunkpy.datachunk import DataChunk, MessageHandler

# A message handler class
class MyMsgHandler(MessageHandler):
    def __init__(self):
        self.msg_processed = 0
        self.bytes_processed = 0

    def handle_msg(self, data):
        print('I am handling', data)
        self.msg_processed += 1
        self.bytes_processed += len(data)


datach = DataChunk(MyMsgHandler())

i = 0
random.seed()
mydata = b''
total_bytes = 0
while i < 10000:
    i += 1
    j = random.randint(1,50)
    mydata += pack('i', j)
    mydata += b'a' * j
    total_bytes += j
datach.process_chunk(mydata)

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 datachunkpy, version 1.0.0
Filename, size File type Python version Upload date Hashes
Filename, size datachunkpy-1.0.0.tar.gz (3.1 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