void DataManager::selectDataStructureById( int id ){
vector<GenomeDataStructure>::iterator it;
for(it=mDataStructure.begin();it!=mDataStructure.end();++it){
if( (*it).id == id ){
loadDataSet( (*it) );
return;
}
}
console() << "ERROR : DataManager::selectDataStructureById " << id << " not found!"<< std::endl;
}
void DataManager::selectDataStructure( string name ){
vector<GenomeDataStructure>::iterator it;
for(it=mDataStructure.begin();it!=mDataStructure.end();++it){
if((*it).name.compare(name)==0){
loadDataSet( (*it) );
return;
}
}
console() << "ERROR : DataManager::selectDataStructure " << name << " not found!"<< std::endl;
}
int OnlineSession::run(istream *in, ostream *out, bool interactive)
{
map<string, int> commands;
prepareCommands(commands);
int res = 0;
int count = 0;
int cmd;
string command;
string sarg1, sarg2;
int iarg1, iarg2, iarg3, iarg4, iarg5, iarg6, iarg7;
double darg1;
double *dparg1;
TimeSeriesSet *t;
clock_t time;
res = 0;
while (!in->eof()) {
if (res != 0)
*out << "Command returned with status " << res << "." << endl;
if (interactive) {
int width = out->width();
*out << "[";
out->width(3);
*out << count;
out->width(width);
*out << "] > ";
out->flush();
}
*in >> command;
time = clock();
if (command.size() > 0) {
cmd = commands[command];
}
if (command.size() <= 0 || in->eof()) {
cmd = _EXIT;
*out << endl;
}
if (cmd == 0) {
*out << "Unknown command '" << command << "'. Type 'help' for help." << endl;
res = 1;
count++;
continue;
}
try {
res = 0;
switch (cmd) {
case _EXIT:
*out << "Quitting..." << endl;
return iarg1;
case _HELP:
_print_help(out);
break;
case _LOAD_TSS:
*in >> sarg1;
*out << "Loading Time Series Set from file '" << sarg1 << "'." << endl;
res = loadDataSet(new TimeSeriesSet(sarg1.c_str()));
if (res >= 0) {
*out << "Dataset successfully loaded. Index: " << res << endl;
res = 0;
} else {
*out << "Failed to load dataset." << endl;
}
break;
case _SAVE_TSS:
*in >> iarg1;
*in >> sarg2;
checkIndex(iarg1);
t = dataSets[iarg1];
*out << "Saving Time Series Set " << iarg1 << ":" << t->name << " to file '" << sarg2 << "'." << endl;
res = saveDataSet(iarg1, sarg2.c_str());
if (res == 0)
*out << "Dataset successfully saved." << endl;
break;
case _OLOAD_TSS:
*in >> sarg1;
*in >> iarg1 >> iarg2 >> iarg3;
*out << "Loading Time Series Set from file '" << sarg1 << "' with N=" << iarg1 << ", L=" << iarg2 << ", and D=" << iarg3 << "." << endl;
res = loadDataSet(new TimeSeriesSet(sarg1.c_str(), iarg1, iarg2, iarg3));
if (res >= 0) {
*out << "Dataset successfully loaded. Index: " << res << endl;
res = 0;
} else {
*out << "Failed to load dataset." << endl;
}
break;
case _OSAVE_TSS:
*in >> iarg1;
*in >> sarg2;
checkIndex(iarg1);
t = dataSets[iarg1];
*out << "Saving Time Series Set " << iarg1 << ":" << t->name << " to file '" << sarg2 << "'." << endl;
res = saveDataSet(iarg1, sarg2.c_str(), true);
if (res == 0)
*out << "Dataset successfully saved." << endl;
break;
case _DROP_TSS:
*in >> iarg1;
checkIndex(iarg1);
t = dataSets[iarg1];
*out << "Dropping Time Series Set " << iarg1 << ":" << t->name << "." << endl;
res = dropDataSet(iarg1);
break;
case _RAND_TSS:
*in >> iarg1 >> iarg2 >> iarg3;
*out << "Generating random Time Series Set with N=" << iarg1 << ", L=" << iarg2 << ", and range=" << iarg3 << "." << endl;
res = loadDataSet(&TimeSeriesSet::randomSet(iarg1, iarg2, iarg3));
if (res >= 0) {
*out << "Dataset successfully loaded. Index: " << res << endl;
res = 0;
} else {
*out << "Failed to load dataset." << endl;
}
break;
case _LIST_TSS:
printDataSets(out);
break;
case _NORM_TSS:
*in >> iarg1;
checkIndex(iarg1);
t = dataSets[iarg1];
*out << "Normalizing Time Series Set " << iarg1 << ":" << t->name << "." << endl;
res = normalizeDataSet(iarg1);
break;
case _KSIM_TSS:
*in >> iarg1 >> iarg2 >> iarg3 >> iarg4 >> iarg5 >> iarg6 >> iarg7;
checkIndex(iarg1);
checkIndex(iarg2);
t = dataSets[iarg1];
*out << "Getting the kSimilar for Time Series Set " << iarg1 << ":" << t->name;
t = dataSets[iarg2];
*out << ", query string at " << iarg3 << " in dataset " << iarg2 << ":" << t->name;
*out << " in interval [" << iarg4 << "," << iarg5 << "] with k=" << iarg6 << " and strict="
<< iarg7 << "." << endl;
dparg1 = t->getInterval(iarg3,TimeInterval(iarg4, iarg5)).getData();
kSimilar(iarg1, vector<double>(dparg1, dparg1 + (iarg5 - iarg4 + 1)),
TimeInterval(iarg4, iarg5), iarg6, iarg7);
break;
case _OUTLIER_TSS:
*in >> iarg1 >> iarg2 >> iarg3;
checkIndex(iarg1);
t = dataSets[iarg1];
*out << "Gettind dominant outlier on Time Series Set " << iarg1 << ":" << t->name
<< " in the range [" << iarg2 << ", " << iarg3 << "]." << endl;
dominantOutlier(iarg1, TimeInterval(iarg2, iarg3));
break;
case _GROUP_TSS:
*in >> iarg1;
checkIndex(iarg1);
t = dataSets[iarg1];
*out << ((groupings[iarg1] != NULL)?"Regrouping":"Grouping") << " Time Series Set "
<< iarg1 << ":" << t->name << " with ST " << defaultST << "." << endl;
genGrouping(iarg1, defaultST);
break;
case _NGROUP_TSS:
*in >> iarg1;
checkIndex(iarg1);
t = dataSets[iarg1];
*out << ((groupings[iarg1] != NULL)?"Regrouping":"Grouping") << " Time Series Set "
<< iarg1 << ":" << t->name << " with ST " << defaultST << " (naive)." << endl;
genNaiveGrouping(iarg1, defaultST);
break;
case _GROUP_ST_TSS:
*in >> iarg1;
*in >> darg1;
checkIndex(iarg1);
t = dataSets[iarg1];
*out << ((groupings[iarg1] == NULL)?"Grouping":"Regrouping") << " Time Series Set "
<< iarg1 << ":" << t->name << " with ST " << darg1 << "." << endl;
genGrouping(iarg1, darg1);
break;
case _NGROUP_ST_TSS:
*in >> iarg1;
*in >> darg1;
checkIndex(iarg1);
t = dataSets[iarg1];
*out << ((groupings[iarg1] == NULL)?"Grouping":"Regrouping") << " Time Series Set "
<< iarg1 << ":" << t->name << " with ST " << darg1 << " (naive)." << endl;
genNaiveGrouping(iarg1, darg1);
break;
case _LOAD_GROUP_TSS:
*in >> iarg1;
*in >> sarg1;
checkIndex(iarg1);
t = dataSets[iarg1];
*out << "Loading grouping data for Time Series Set "
<< iarg1 << ":" << t->name << " at " << sarg1 << "." << endl;
res = loadGrouping(iarg1, sarg1.c_str());
break;
case _SAVE_GROUP_TSS:
*in >> iarg1;
*in >> sarg1;
checkIndex(iarg1);
t = dataSets[iarg1];
*out << "Saving grouping data for Time Series Set "
<< iarg1 << ":" << t->name << " to " << sarg1 << "." << endl;
res = saveGrouping(iarg1, sarg1.c_str());
break;
case _DROP_GROUP_TSS:
*in >> iarg1;
checkIndex(iarg1);
t = dataSets[iarg1];
*out << "Dropping grouping data for Time Series Set "
<< iarg1 << ":" << t->name << "." << endl;
dropGrouping(iarg1);
break;
case _DESC_TSS:
*in >> iarg1;
checkIndex(iarg1);
t = dataSets[iarg1];
t->printDesc(out);
break;
case _PRINT_TSS:
*in >> iarg1;
checkIndex(iarg1);
t = dataSets[iarg1];
t->printData(out);
break;
case _DEBUG:
*in >> iarg1;
*out << "Setting debug to " << iarg1 << "." << endl;
debug = iarg1;
break;
case _SET_DEF_ST:
*in >> darg1;
*out << "Setting default ST to " << darg1 << "." << endl;
defaultST = darg1;
break;
case _GET_DEF_ST:
*out << "default ST = " << defaultST << "." << endl;
break;
}
} catch (exception &e) {
*out << "Caught exception attempting operation:" << endl;
*out << e.what() << endl;
}
time = clock() - time;
(*out) << "Command used " << ((float)time/CLOCKS_PER_SEC) << " seconds." << endl << endl;
count++;
}
return 0;
}
int main(){
//testCar();
vector<car::car> cars = loadDataSet();
return EXIT_SUCCESS;
}
