Python Log.get_query_times Beispiele

Beispiel #1

Datei: extractQueryTimes.py Projekt: kimajakobsen/swodTools

			avgQueryTimeProduct = 1.0
			avgQueryTimeSum = 0
		for j, avgQueryTime in avgQueryTimes.iteritems():
			avgQueryTimeProduct*=(avgQueryTime)
			avgQueryTimeSum+=(avgQueryTime)
		avgQueryTimes["avg"] = avgQueryTimeSum/22
		avgQueryTimes["geo"] = nroot(avgQueryTimeProduct,22)		
		result[key].append(avgQueryTimes)
	return result	

parse_arguments()

# create data structure
for logfilepath in logfilepaths: 
	log = Log(logfilepath)
	queryTimes[log.get_pattern()+log.get_scale()].append(log.get_query_times())

	
for key, patternScaleSet in queryTimes.iteritems():
	print key
	csvbody = []
	csvbody.append(["Q1","Q2","Q3","Q4","Q5","Q6","Q7","Q8","Q9","Q10","Q11","Q12","Q13","Q14","Q15","Q16","Q17","Q18","Q19","Q20","Q21","Q22","Avg","Geo. mean"])
	
	patternScaleSet.append(calculate_average(queryTimes)[key].pop()) #add avg results
	
	for queryTimeSet in patternScaleSet:
		tempList = []
		for i, queryTimeList in queryTimeSet.iteritems():
			tempList.append(queryTimeList)
		if len(tempList) != 24:
			tempList+=["",""]