gistfile1.txt

#!/usr/bin/env python
import KDataPy.database as kdb
import datetime, time

db = kdb.radon('http://10.0.1.11:5984')

startTime = datetime.datetime(2010, 10, 18, 13, 0, 0)
endTime = startTime + datetime.timedelta(hours=-5)

endTime_epoch = time.mktime(endTime.timetuple())
startTime_epoch = time.mktime(startTime.timetuple())


#special function built to run on server side that uses a mapReduce View to collate the results
#into a histogram, which is returned here. 

#Please don't kill my computer with large time ranges! :)

data = db.list('app/hist' , 'bydate', reduce=False, descending=True, startkey=startTime_epoch, endkey=endTime_epoch, lowE=2000, highE=2350)

counts = sum(data)
activity = 98.7 * counts / (startTime_epoch - endTime_epoch)
print 'from', endTime, 'to', startTime, ':'
print '  radon activity was', activity, ' Bq/m^3'