#!/usr/bin/python
# $Id: sensor.py,v 1.2 2003/04/29 06:44:17 ifindkarma Exp $
import KNCONFIG
import threading, time, urllib, sys, traceback, inspect, pprint, types, os, copy
from sgmllib import SGMLParser
# Include local libraries:
sys.path = ["../"] + sys.path
from libkn import kn
gknr = kn(host=KNCONFIG.PUBSUBSERVER_HOSTNAME,
port=KNCONFIG.PUBSUBSERVER_PORT,
traceOnly=KNCONFIG.PUBSUBSERVER_TRACEONLY)
import os
#There is still way too much reliance on side effects &c in all this code
#has to be cleaned up!!!
class GenericParser:
def reset(self):
pass
def feed(self, s):
pass
def close(self):
pass
def __init__(self,serverDict):
self.serverDict=server
self.ms=kn(host=server['host'],
port=server['port'])
self.ms.start()
'low','last','unknown1','unknown2','change','volume']
numericQuoteElements=[4,5,7,8,9,9,9,9,9,12,13] #repeat the ones you want simulated most often
tickers={}
transmittedData={}
currentData={}
#didTransmit=0
gotDataException=0
sentSimulatedData=0
totalTransmitted=0
tickersByTens_last=None
tickersByTens=['']
tickersCount=0
gettingData=0
alwaysSimulate=1
knr=kn(host=KNCONFIG.PUBSUBSERVER_HOSTNAME,port=KNCONFIG.PUBSUBSERVER_PORT,traceOnly=KNCONFIG.PUBSUBSERVER_TRACEONLY)
#==========================================================================================
# Gets called for each new kn_subtopics event for the nasdaq topic
#==========================================================================================
def newTickerCallback(ev):
"""for each new ticker add it to the dictionary, but also
add it in groups of NASDAQ_MAXRQUESTS to tickersByTen"""
global tickers,tickersByTens_last,tickersByTens,tickersCount
global gettingData
ticker=ev.kn_payload.lower()
if ticker[:3]=='kn_':
def __init__(self, serverDict):
self.serverDict = server
self.ms = kn(host=server['host'], port=server['port'])
self.ms.start()
