def optimize_by_merge_sub_tree():
logPath = os.path.join(os.path.abspath(''), 'sample.log')
drain = buildSampleDrain(logPath)
t = drain.copy()
createPlot(t)
t = drain.copy()
opt = Optimizer()
opt.modify(method='merge_sub_tree', tree=t)
# opt.modify(t)
createPlot(t)
def optimize_by_seq_dist():
logPath = os.path.join(os.path.abspath(''), 'sample.log')
drain = buildSampleDrain(logPath)
logClusters = drain.logClusters
printClusters(logClusters)
opt = Optimizer()
opt.modify(method='seq_dist', tree=drain.prefixTree, drain=drain, st=0.7)
logClusters = drain.logClusters
printClusters(logClusters)
root = drain.copy()
createPlot(root)
def optimize_by_merge_sub_tree():
drain = parse_log_data()
# logPath = os.path.join(os.path.abspath(''), 'sample.log')
# drain = buildSampleDrain(logPath)
# createPlot(drain)
opt = Optimizer()
logClusters = drain.logClusters
print('优化前')
printClusters(logClusters)
opt.modify(method='merge_sub_tree', tree=drain.prefixTree, drain=drain)
logClusters = drain.logClusters
print('合并子树优化')
printClusters(logClusters)
# createPlot(drain)
opt.modify(method='seq_dist', tree=drain.prefixTree, drain=drain, st=0.8)
logClusters = drain.logClusters
print('合并聚类优化')
printClusters(logClusters)
drain.save()
return drain
