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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)

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