1function logData = parseLogs(model,isNodeLogged, metric)
2% LOGDATA = PARSELOGS(MODEL,ISNODELOGGED, METRIC)
4% Copyright (c) 2012-2026, Imperial College London
7%line_printf(
'\nJMT log parsing...');
10nclasses = sn.nclasses;
11logData = cell(sn.nnodes,sn.nclasses);
12nodePreload = sn_get_state_aggr(model.getStruct);
14 if sn.isstateful(ind) && isNodeLogged(ind)
15 logFileArv = [model.getLogPath,sprintf(
'%s-Arv.csv',model.getNodeNames{ind})];
16 logFileDep = [model.getLogPath,sprintf(
'%s-Dep.csv',model.getNodeNames{ind})];
17 %% load arrival process
18 if exist(logFileArv,
'file') && exist(logFileDep,
'file')
19 % logArv=readTable(logFileArv,
'Delimiter',
';',
'HeaderLines',1); % raw data
22 % unclear
if this part works fine
if user has another local
23 % since JMT might write with a different delimiter
24 fid=fopen(logFileArv);
25 logArv = textscan(fid,
'%s%f%f%s%s%s',
'delimiter',
';',
'headerlines',1);
29 jobArvClass = logArv{4};
33 jobArvClasses = unique(jobArvClass);
34 jobArvClassID = zeros(length(jobArvClass),1);
35 for c=1:length(jobArvClasses)
36 jobArvClassID(find(strcmp(jobArvClasses{c},jobArvClass))) = findstring(model.getClassNames,jobArvClasses{c});
37 % jobArvClassID(find(strcmp(jobArvClasses{c},jobArvClass)))=c;
39 logFileArvMat = [model.getLogPath,filesep,sprintf(
'%s-Arv.mat',model.getNodeNames{ind})];
40 save(logFileArvMat,
'jobArvTS',
'jobArvID',
'jobArvClass',
'jobArvClassID');
42 %% load departure process
43 fid=fopen(logFileDep);
44 logDep = textscan(fid,
'%s%f%f%s%s%s',
'delimiter',
';',
'headerlines',1);
48 jobDepClass = logDep{4};
51 % jobDepTS = table2array(logDep(:,2));
52 % jobDepID = table2array(logDep(:,3));
53 % jobDepClass = table2cell(logDep(:,4));
54 jobDepClasses = unique(jobDepClass);
55 jobDepClassID = zeros(length(jobDepClass),1);
56 for c=1:length(jobDepClasses)
57 jobDepClassID(find(strcmp(jobDepClasses{c},jobDepClass))) = findstring(model.getClassNames,jobDepClasses{c});
58 % jobDepClassID(find(strcmp(jobDepClasses{c},jobDepClass)))=c;
60 logFileDepMat = [model.getLogPath,filesep,sprintf(
'%s-Dep.mat',model.getNodeNames{ind})];
61 save(logFileDepMat,
'jobDepTS',
'jobDepID',
'jobDepClass',
'jobDepClassID');
63 nodeState = cell(sn.nnodes,1);
66 case MetricType.toText(MetricType.QLen)
67 % see _kb/11-conventions-and-gotchas.md (JMT sample-path node vs stateful index space)
68 [node_ind, evtype, evclass, evjob] = JMTIO.parseTranState(logFileArvMat, logFileDepMat, nodePreload{sn.nodeToStateful(ind)});
70 %% save in
default data structure
71 for r=1:nclasses %0:numOfClasses
72 logData_indr =
struct();
73 logData_indr.t = node_ind(:,1);
74 ec = cell(length(evtype),1);
75 for e=1:length(evtype)
77 ec{e,1} = Event(evtype(e), ind, r, NaN, [], node_ind(e,1), evjob(e));
82 logData_indr.event = ec;
83 logData_indr.QLen = node_ind(:,1+r);
84 %logData_indr.arvID = jobArvID;
85 %logData_indr.depID = jobDepID;
86 logData{ind,r} = logData_indr;
88 nodeState{ind} = node_ind;
89 case MetricType.toText(MetricType.RespT)
90 [classResT, jobRespT, jobResTArvTS] = JMTIO.parseTranRespT(logFileArvMat, logFileDepMat);
93 logData{ind,r} =
struct();
94 if r <= size(classResT,2)
95 logData{ind,r}.t = jobResTArvTS;
96 logData{ind,r}.RespT = classResT{r};
97 %logData{i,r}.PassT = jobRespT;
99 logData{ind,r}.t = [];
100 logData{ind,r}.RespT = [];
101 %logData{i,r}.PassT = [];
109%line_printf(
' completed. Runtime: %f seconds.\n',runtime);