is my custom command reading the sourcetype data?

tis is my coding, i followed http://docs.splunk.com/Documentation/Splunk/5.0.2/AdvancedDev/SearchScripts

import csv import sys import splunk.Intersplunk import string

(isgetinfo, sys.argv) = splunk.Intersplunk.isGetInfo(sys.argv)

if len(sys.argv) < 2: splunk.Intersplunk.parseError("No arguments provided")

trendInfoList = [] # list of dictionaries of information about trendlines

validTypes = ['sma', 'wma', 'ema'] maxPeriod = 10000

i = 1 while i<len(sys.argv): #="" expect="" argument="" in="" format:="" <type=""><period>(<fieldname>) [as <newname>] arg = sys.argv[i] pos = arg.find('(') if (pos < 1) or arg[-1] != ')': splunk.Intersplunk.parseError("Invalid argument '%s'" % arg)

name = arg[0:pos]
field = arg[pos+1:len(arg)-1]
if len(field) == 0 or field[0:2] == '__':
    splunk.Intersplunk.parseError("Invalid or empty field '%s'" % field)

trendtype = None
period = 0
try:
    for t in validTypes:
        if name[0:len(t)] == t:
            trendtype = t
            period = int(name[len(t):])
            if (period < 2) or (period > maxPeriod):
                raise ValueError
except ValueError:
    splunk.Intersplunk.parseError("Invalid trend period for argument '%s'" % arg)

if trendtype is None:
    splunk.Intersplunk.parseError("Invalid trend type for argument '%s'" % arg)

newname = arg;
if (i+2<len(sys.argv)) and (string.lower(sys.argv[i+1]) == "as"):
    newname = sys.argv[i+2]
    i += 3
else:
    i += 1

trendInfoList.append({'type' : trendtype, 'period' : period,
                      'field' : field, 'newname' : newname,
                      'vals': [], 'last': None})

if isgetinfo: splunk.Intersplunk.outputInfo(False, False, True, False, None, True) # outputInfo automatically calls sys.exit()

results = splunk.Intersplunk.readResults(None, None, True)

for res in results: # each res is a dict of fields to values for ti in trendInfoList: if ti['field'] not in res: continue

    try:
        ti['vals'].append(float(res[ti['field']]))
    except ValueError:
        continue # ignore non-numeric values

    if len(ti['vals']) > ti['period']:
        ti['vals'].pop(0)
    elif len(ti['vals']) < ti['period']:
        continue # not enough data yet

    newval = None

    if ti['type'] == 'sma':
        # simple moving average
        newval = sum(ti['vals']) / ti['period']
    elif ti['type'] == 'wma':
        # weighted moving average
        Total = 0
        for i in range(len(ti['vals'])):
            Total += (i+1)*(ti['vals'][i])
        newval = Total / (ti['period'] * (ti['period']+1) / 2)
    elif ti['type'] == 'ema':
        # exponential moving average
        if (ti['last'] is None):
            newval = ti['vals'][-1]
        else:
            alpha = float(2.0 / (ti['period'] + 1.0))
            newval = (alpha * ti['vals'][-1]) + (1 - alpha) * ti['last']

    ti['last'] = newval
    res[ti['newname']] = str(newval)

splunk.Intersplunk.outputResults(results)

does tis coding show tat its reading the sourcetype data? if its not, wad coding should be inside?