dashboard_filename = "dashboard.csv"
header = [
'Current timestamp;Case id;Actual timestamp;Activity;Ranking score'
]
f = open(dashboard_filename, 'wb')
w = csv.writer(f, delimiter=',')
w.writerows([x.split(';') for x in header])
f.close()
# reading and preparing S, input 4 (offline/online)
#new part code, changing call of apply_algorithm
start_time_build_tree = time.clock()
if (sys.argv[4].lower() == "offline"):
for symbol in S:
alg.apply_algorithm(
symbol, dashboard_filename
) # new: read symbol by symbol from S either online or offline
# reach this code when offline
end_time_build_tree = time.clock()
print "Algorithm execution time time_build_tree : %s seconds " % (
end_time_build_tree - start_time_build_tree)
alg.finish_algorithm(start_time_build_tree)
end_time_algorithm = time.clock()
print "event logs"
i = 1
for eLog in alg.constructedTraces:
if (i == 1):
#eLog.write_traceLog_into_file_csv(i)
for i in range(1, len(reader.fieldnames)):
heuristic.append(float(row[reader.fieldnames[i]]))
T[row[reader.fieldnames[0]]]=heuristic
fin.close()
print 'T' ,T
rs=int(sys.argv[3])
if (rs >0):
GivenRankingScore=rs
#applying DCI approach
alg=Algorithm(S,T,M,Parents,startActivity,GivenRankingScore)
alg.apply_algorithm()
print "event logs"
i=1
for eLog in alg.constructedTraces:
eLog.write_traceLog_into_file_csv(i)
eLog.write_traceLog_into_file_txt(i)
eLog.write_traceLog_into_XML(i)
eLog.prepare_traceLog(i)
i+=1
if (len(alg.otherConstructedTraces)>0):
print "other event logs "
for oeLog in alg.otherConstructedTraces:
oeLog.write_traceLog_into_file_csv(i,otherDirectory)
oeLog.write_traceLog_into_file_txt(i,otherDirectory)
print fields
for row in reader:
heuristic=[]
for i in range(1, len(reader.fieldnames)):
heuristic.append(float(row[reader.fieldnames[i]]))
T[row[reader.fieldnames[0]]]=heuristic
fin.close()
print 'T' ,T
start_time_algorithm = time.clock()
print "start apply labeling algorithm"
alg=Algorithm(S,T,M,Parents,startActivity,GivenConfidenceLevel)
alg.apply_algorithm()
end_time_algorithm=time.clock()
print "event logs"
i =1
for eLog in alg.constructedTraces:
eLog.write_traceLog_into_file_csv(i)
eLog.write_traceLog_into_file_txt(i)
eLog.write_traceLog_into_XML(i)
eLog.prepare_traceLog(i)
i+=1
#print other traces that have produces but not completely fit
if (len(alg.otherConstructedTraces)>0):
print "other event logs "
for oeLog in alg.otherConstructedTraces:
oeLog.write_traceLog_into_file_csv(i,otherDirectory)
oeLog.write_traceLog_into_file_txt(i,otherDirectory)
alg=Algorithm(S,T,M,Parents,startActivity,GivenConfidenceLevel)
#alg.apply_algorithm() # old: running batch of S all at once
dashboard_filename = "dashboard.csv"
header = ['Current timestamp;Case id;Actual timestamp;Activity;Ranking score']
f = open(dashboard_filename,'wb')
w = csv.writer(f, delimiter = ',')
w.writerows([x.split(';') for x in header])
f.close()
# reading and preparing S, input 4 (offline/online)
#new part code, changing call of apply_algorithm
start_time_build_tree = time.clock()
if (sys.argv[4].lower()=="offline"):
for symbol in S:
alg.apply_algorithm(symbol,dashboard_filename) # new: read symbol by symbol from S either online or offline
# reach this code when offline
end_time_build_tree = time.clock()
print"Algorithm execution time time_build_tree : %s seconds " % (end_time_build_tree - start_time_build_tree)
alg.finish_algorithm(start_time_build_tree)
end_time_algorithm=time.clock()
print "event logs"
i =1
for eLog in alg.constructedTraces:
if(i==1):
#eLog.write_traceLog_into_file_csv(i)
#eLog.write_traceLog_into_file_txt(i)
eLog.write_traceLog_into_XML(i)
