2 * classifyseqscommand.cpp
5 * Created by westcott on 11/2/09.
6 * Copyright 2009 Schloss Lab. All rights reserved.
10 #include "classifyseqscommand.h"
11 #include "sequence.hpp"
13 #include "phylotree.h"
14 #include "phylosummary.h"
17 //**********************************************************************************************************************
19 ClassifySeqsCommand::ClassifySeqsCommand(string option) {
23 //allow user to run help
24 if(option == "help") { help(); abort = true; }
28 //valid paramters for this command
29 string AlignArray[] = {"template","fasta","name","group","search","ksize","method","processors","taxonomy","match","mismatch","gapopen","gapextend","numwanted","cutoff","probs","iters", "outputdir","inputdir"};
30 vector<string> myArray (AlignArray, AlignArray+(sizeof(AlignArray)/sizeof(string)));
32 OptionParser parser(option);
33 map<string, string> parameters = parser.getParameters();
35 ValidParameters validParameter;
36 map<string, string>::iterator it;
38 //check to make sure all parameters are valid for command
39 for (it = parameters.begin(); it != parameters.end(); it++) {
40 if (validParameter.isValidParameter(it->first, myArray, it->second) != true) { abort = true; }
43 //if the user changes the output directory command factory will send this info to us in the output parameter
44 outputDir = validParameter.validFile(parameters, "outputdir", false); if (outputDir == "not found"){ outputDir = ""; }
46 //if the user changes the input directory command factory will send this info to us in the output parameter
47 string inputDir = validParameter.validFile(parameters, "inputdir", false);
48 if (inputDir == "not found"){ inputDir = ""; }
51 it = parameters.find("template");
52 //user has given a template file
53 if(it != parameters.end()){
54 path = hasPath(it->second);
55 //if the user has not given a path then, add inputdir. else leave path alone.
56 if (path == "") { parameters["template"] = inputDir + it->second; }
59 it = parameters.find("taxonomy");
60 //user has given a template file
61 if(it != parameters.end()){
62 path = hasPath(it->second);
63 //if the user has not given a path then, add inputdir. else leave path alone.
64 if (path == "") { parameters["taxonomy"] = inputDir + it->second; }
67 it = parameters.find("group");
68 //user has given a template file
69 if(it != parameters.end()){
70 path = hasPath(it->second);
71 //if the user has not given a path then, add inputdir. else leave path alone.
72 if (path == "") { parameters["group"] = inputDir + it->second; }
76 //check for required parameters
77 templateFileName = validParameter.validFile(parameters, "template", true);
78 if (templateFileName == "not found") {
79 m->mothurOut("template is a required parameter for the classify.seqs command.");
80 m->mothurOutEndLine();
83 else if (templateFileName == "not open") { abort = true; }
86 fastaFileName = validParameter.validFile(parameters, "fasta", false);
87 if (fastaFileName == "not found") { m->mothurOut("fasta is a required parameter for the classify.seqs command."); m->mothurOutEndLine(); abort = true; }
89 splitAtDash(fastaFileName, fastaFileNames);
91 //go through files and make sure they are good, if not, then disregard them
92 for (int i = 0; i < fastaFileNames.size(); i++) {
94 string path = hasPath(fastaFileNames[i]);
95 //if the user has not given a path then, add inputdir. else leave path alone.
96 if (path == "") { fastaFileNames[i] = inputDir + fastaFileNames[i]; }
103 MPI_Comm_size(MPI_COMM_WORLD, &processors); //set processors to the number of mpi processes running
104 MPI_Comm_rank(MPI_COMM_WORLD, &pid); //find out who we are
110 ableToOpen = openInputFile(fastaFileNames[i], in, "noerror");
112 //if you can't open it, try default location
113 if (ableToOpen == 1) {
114 if (m->getDefaultPath() != "") { //default path is set
115 string tryPath = m->getDefaultPath() + getSimpleName(fastaFileNames[i]);
116 m->mothurOut("Unable to open " + fastaFileNames[i] + ". Trying default " + tryPath); m->mothurOutEndLine();
117 ableToOpen = openInputFile(tryPath, in, "noerror");
118 fastaFileNames[i] = tryPath;
124 for (int j = 1; j < processors; j++) {
125 MPI_Send(&ableToOpen, 1, MPI_INT, j, 2001, MPI_COMM_WORLD);
129 MPI_Recv(&ableToOpen, 1, MPI_INT, 0, 2001, MPI_COMM_WORLD, &status);
134 if (ableToOpen == 1) {
135 m->mothurOut("Unable to open " + fastaFileNames[i] + ". It will be disregarded."); m->mothurOutEndLine();
136 //erase from file list
137 fastaFileNames.erase(fastaFileNames.begin()+i);
143 //make sure there is at least one valid file left
144 if (fastaFileNames.size() == 0) { m->mothurOut("no valid files."); m->mothurOutEndLine(); abort = true; }
148 taxonomyFileName = validParameter.validFile(parameters, "taxonomy", true);
149 if (taxonomyFileName == "not found") {
150 m->mothurOut("taxonomy is a required parameter for the classify.seqs command.");
151 m->mothurOutEndLine();
154 else if (taxonomyFileName == "not open") { abort = true; }
157 namefile = validParameter.validFile(parameters, "name", false);
158 if (namefile == "not found") { namefile = ""; }
161 splitAtDash(namefile, namefileNames);
163 //go through files and make sure they are good, if not, then disregard them
164 for (int i = 0; i < namefileNames.size(); i++) {
165 if (inputDir != "") {
166 string path = hasPath(namefileNames[i]);
167 //if the user has not given a path then, add inputdir. else leave path alone.
168 if (path == "") { namefileNames[i] = inputDir + namefileNames[i]; }
174 MPI_Comm_size(MPI_COMM_WORLD, &processors); //set processors to the number of mpi processes running
175 MPI_Comm_rank(MPI_COMM_WORLD, &pid); //find out who we are
181 ableToOpen = openInputFile(namefileNames[i], in, "noerror");
183 //if you can't open it, try default location
184 if (ableToOpen == 1) {
185 if (m->getDefaultPath() != "") { //default path is set
186 string tryPath = m->getDefaultPath() + getSimpleName(namefileNames[i]);
187 m->mothurOut("Unable to open " + namefileNames[i] + ". Trying default " + tryPath); m->mothurOutEndLine();
188 ableToOpen = openInputFile(tryPath, in, "noerror");
189 namefileNames[i] = tryPath;
195 for (int j = 1; j < processors; j++) {
196 MPI_Send(&ableToOpen, 1, MPI_INT, j, 2001, MPI_COMM_WORLD);
200 MPI_Recv(&ableToOpen, 1, MPI_INT, 0, 2001, MPI_COMM_WORLD, &status);
205 if (ableToOpen == 1) {
206 m->mothurOut("Unable to open " + namefileNames[i] + ". It will be disregarded."); m->mothurOutEndLine(); abort = true;
207 //erase from file list
208 namefileNames.erase(namefileNames.begin()+i);
215 if (namefile != "") {
216 if (namefileNames.size() != fastaFileNames.size()) { abort = true; m->mothurOut("If you provide a name file, you must have one for each fasta file."); m->mothurOutEndLine(); }
219 groupfile = validParameter.validFile(parameters, "group", false);
220 if (groupfile == "not found") { groupfile = ""; }
222 splitAtDash(groupfile, groupfileNames);
224 //go through files and make sure they are good, if not, then disregard them
225 for (int i = 0; i < groupfileNames.size(); i++) {
226 if (inputDir != "") {
227 string path = hasPath(groupfileNames[i]);
228 //if the user has not given a path then, add inputdir. else leave path alone.
229 if (path == "") { groupfileNames[i] = inputDir + groupfileNames[i]; }
235 MPI_Comm_size(MPI_COMM_WORLD, &processors); //set processors to the number of mpi processes running
236 MPI_Comm_rank(MPI_COMM_WORLD, &pid); //find out who we are
242 ableToOpen = openInputFile(groupfileNames[i], in, "noerror");
244 //if you can't open it, try default location
245 if (ableToOpen == 1) {
246 if (m->getDefaultPath() != "") { //default path is set
247 string tryPath = m->getDefaultPath() + getSimpleName(groupfileNames[i]);
248 m->mothurOut("Unable to open " + groupfileNames[i] + ". Trying default " + tryPath); m->mothurOutEndLine();
249 ableToOpen = openInputFile(tryPath, in, "noerror");
250 groupfileNames[i] = tryPath;
256 for (int j = 1; j < processors; j++) {
257 MPI_Send(&ableToOpen, 1, MPI_INT, j, 2001, MPI_COMM_WORLD);
261 MPI_Recv(&ableToOpen, 1, MPI_INT, 0, 2001, MPI_COMM_WORLD, &status);
266 if (ableToOpen == 1) {
267 m->mothurOut("Unable to open " + groupfileNames[i] + ". It will be disregarded."); m->mothurOutEndLine(); groupfileNames[i] = "";
268 //erase from file list
269 groupfileNames.erase(groupfileNames.begin()+i);
275 if (groupfile != "") {
276 if (groupfileNames.size() != fastaFileNames.size()) { abort = true; m->mothurOut("If you provide a group file, you must have one for each fasta file."); m->mothurOutEndLine(); }
278 for (int i = 0; i < fastaFileNames.size(); i++) { groupfileNames.push_back(""); }
281 //check for optional parameter and set defaults
282 // ...at some point should added some additional type checking...
284 temp = validParameter.validFile(parameters, "ksize", false); if (temp == "not found"){ temp = "8"; }
285 convert(temp, kmerSize);
287 temp = validParameter.validFile(parameters, "processors", false); if (temp == "not found"){ temp = "1"; }
288 convert(temp, processors);
290 search = validParameter.validFile(parameters, "search", false); if (search == "not found"){ search = "kmer"; }
292 method = validParameter.validFile(parameters, "method", false); if (method == "not found"){ method = "bayesian"; }
294 temp = validParameter.validFile(parameters, "match", false); if (temp == "not found"){ temp = "1.0"; }
295 convert(temp, match);
297 temp = validParameter.validFile(parameters, "mismatch", false); if (temp == "not found"){ temp = "-1.0"; }
298 convert(temp, misMatch);
300 temp = validParameter.validFile(parameters, "gapopen", false); if (temp == "not found"){ temp = "-2.0"; }
301 convert(temp, gapOpen);
303 temp = validParameter.validFile(parameters, "gapextend", false); if (temp == "not found"){ temp = "-1.0"; }
304 convert(temp, gapExtend);
306 temp = validParameter.validFile(parameters, "numwanted", false); if (temp == "not found"){ temp = "10"; }
307 convert(temp, numWanted);
309 temp = validParameter.validFile(parameters, "cutoff", false); if (temp == "not found"){ temp = "0"; }
310 convert(temp, cutoff);
312 temp = validParameter.validFile(parameters, "probs", false); if (temp == "not found"){ temp = "true"; }
313 probs = isTrue(temp);
315 temp = validParameter.validFile(parameters, "iters", false); if (temp == "not found") { temp = "100"; }
316 convert(temp, iters);
320 if ((method == "bayesian") && (search != "kmer")) {
321 m->mothurOut("The bayesian method requires the kmer search." + search + "will be disregarded." ); m->mothurOutEndLine();
327 catch(exception& e) {
328 m->errorOut(e, "ClassifySeqsCommand", "ClassifySeqsCommand");
333 //**********************************************************************************************************************
335 ClassifySeqsCommand::~ClassifySeqsCommand(){
337 if (abort == false) {
338 for (int i = 0; i < lines.size(); i++) { delete lines[i]; } lines.clear();
342 //**********************************************************************************************************************
344 void ClassifySeqsCommand::help(){
346 m->mothurOut("The classify.seqs command reads a fasta file containing sequences and creates a .taxonomy file and a .tax.summary file.\n");
347 m->mothurOut("The classify.seqs command parameters are template, fasta, name, search, ksize, method, taxonomy, processors, match, mismatch, gapopen, gapextend, numwanted and probs.\n");
348 m->mothurOut("The template, fasta and taxonomy parameters are required. You may enter multiple fasta files by separating their names with dashes. ie. fasta=abrecovery.fasta-amzon.fasta \n");
349 m->mothurOut("The search parameter allows you to specify the method to find most similar template. Your options are: suffix, kmer, blast and distance. The default is kmer.\n");
350 m->mothurOut("The name parameter allows you add a names file with your fasta file, if you enter multiple fasta files, you must enter matching names files for them.\n");
351 m->mothurOut("The group parameter allows you add a group file so you can have the summary totals broken up by group.\n");
352 m->mothurOut("The method parameter allows you to specify classification method to use. Your options are: bayesian and knn. The default is bayesian.\n");
353 m->mothurOut("The ksize parameter allows you to specify the kmer size for finding most similar template to candidate. The default is 8.\n");
354 m->mothurOut("The processors parameter allows you to specify the number of processors to use. The default is 1.\n");
356 m->mothurOut("When using MPI, the processors parameter is set to the number of MPI processes running. \n");
358 m->mothurOut("The match parameter allows you to specify the bonus for having the same base. The default is 1.0.\n");
359 m->mothurOut("The mistmatch parameter allows you to specify the penalty for having different bases. The default is -1.0.\n");
360 m->mothurOut("The gapopen parameter allows you to specify the penalty for opening a gap in an alignment. The default is -2.0.\n");
361 m->mothurOut("The gapextend parameter allows you to specify the penalty for extending a gap in an alignment. The default is -1.0.\n");
362 m->mothurOut("The numwanted parameter allows you to specify the number of sequence matches you want with the knn method. The default is 10.\n");
363 m->mothurOut("The cutoff parameter allows you to specify a bootstrap confidence threshold for your taxonomy. The default is 0.\n");
364 m->mothurOut("The probs parameter shuts off the bootstrapping results for the bayesian method. The default is true, meaning you want the bootstrapping to be shown.\n");
365 m->mothurOut("The iters parameter allows you to specify how many iterations to do when calculating the bootstrap confidence score for your taxonomy with the bayesian method. The default is 100.\n");
366 m->mothurOut("The classify.seqs command should be in the following format: \n");
367 m->mothurOut("classify.seqs(template=yourTemplateFile, fasta=yourFastaFile, method=yourClassificationMethod, search=yourSearchmethod, ksize=yourKmerSize, taxonomy=yourTaxonomyFile, processors=yourProcessors) \n");
368 m->mothurOut("Example classify.seqs(fasta=amazon.fasta, template=core.filtered, method=knn, search=gotoh, ksize=8, processors=2)\n");
369 m->mothurOut("The .taxonomy file consists of 2 columns: 1 = your sequence name, 2 = the taxonomy for your sequence. \n");
370 m->mothurOut("The .tax.summary is a summary of the different taxonomies represented in your fasta file. \n");
371 m->mothurOut("Note: No spaces between parameter labels (i.e. fasta), '=' and parameters (i.e.yourFastaFile).\n\n");
373 catch(exception& e) {
374 m->errorOut(e, "ClassifySeqsCommand", "help");
380 //**********************************************************************************************************************
382 int ClassifySeqsCommand::execute(){
384 if (abort == true) { return 0; }
386 if(method == "bayesian"){ classify = new Bayesian(taxonomyFileName, templateFileName, search, kmerSize, cutoff, iters); }
387 else if(method == "knn"){ classify = new Knn(taxonomyFileName, templateFileName, search, kmerSize, gapOpen, gapExtend, match, misMatch, numWanted); }
389 m->mothurOut(search + " is not a valid method option. I will run the command using bayesian.");
390 m->mothurOutEndLine();
391 classify = new Bayesian(taxonomyFileName, templateFileName, search, kmerSize, cutoff, iters);
394 if (m->control_pressed) { delete classify; return 0; }
396 vector<string> outputNames;
398 for (int s = 0; s < fastaFileNames.size(); s++) {
400 m->mothurOut("Classifying sequences from " + fastaFileNames[s] + " ..." ); m->mothurOutEndLine();
402 if (outputDir == "") { outputDir += hasPath(fastaFileNames[s]); }
403 string newTaxonomyFile = outputDir + getRootName(getSimpleName(fastaFileNames[s])) + getRootName(getSimpleName(taxonomyFileName)) + "taxonomy";
404 string tempTaxonomyFile = outputDir + getRootName(getSimpleName(fastaFileNames[s])) + "taxonomy.temp";
405 string taxSummary = outputDir + getRootName(getSimpleName(fastaFileNames[s])) + getRootName(getSimpleName(taxonomyFileName)) + "tax.summary";
407 outputNames.push_back(newTaxonomyFile);
408 outputNames.push_back(taxSummary);
410 int start = time(NULL);
411 int numFastaSeqs = 0;
412 for (int i = 0; i < lines.size(); i++) { delete lines[i]; } lines.clear();
415 int pid, end, numSeqsPerProcessor;
420 MPI_Comm_rank(MPI_COMM_WORLD, &pid); //find out who we are
421 MPI_Comm_size(MPI_COMM_WORLD, &processors);
424 MPI_File outMPINewTax;
425 MPI_File outMPITempTax;
427 int outMode=MPI_MODE_CREATE|MPI_MODE_WRONLY;
428 int inMode=MPI_MODE_RDONLY;
430 //char* outNewTax = new char[newTaxonomyFile.length()];
431 //memcpy(outNewTax, newTaxonomyFile.c_str(), newTaxonomyFile.length());
433 char outNewTax[1024];
434 strcpy(outNewTax, newTaxonomyFile.c_str());
436 //char* outTempTax = new char[tempTaxonomyFile.length()];
437 //memcpy(outTempTax, tempTaxonomyFile.c_str(), tempTaxonomyFile.length());
439 char outTempTax[1024];
440 strcpy(outTempTax, tempTaxonomyFile.c_str());
442 //char* inFileName = new char[fastaFileNames[s].length()];
443 //memcpy(inFileName, fastaFileNames[s].c_str(), fastaFileNames[s].length());
445 char inFileName[1024];
446 strcpy(inFileName, fastaFileNames[s].c_str());
448 MPI_File_open(MPI_COMM_WORLD, inFileName, inMode, MPI_INFO_NULL, &inMPI); //comm, filename, mode, info, filepointer
449 MPI_File_open(MPI_COMM_WORLD, outNewTax, outMode, MPI_INFO_NULL, &outMPINewTax);
450 MPI_File_open(MPI_COMM_WORLD, outTempTax, outMode, MPI_INFO_NULL, &outMPITempTax);
456 if (m->control_pressed) { MPI_File_close(&inMPI); MPI_File_close(&outMPINewTax); MPI_File_close(&outMPITempTax); delete classify; return 0; }
458 if (pid == 0) { //you are the root process
460 MPIPos = setFilePosFasta(fastaFileNames[s], numFastaSeqs); //fills MPIPos, returns numSeqs
462 //send file positions to all processes
463 for(int i = 1; i < processors; i++) {
464 MPI_Send(&numFastaSeqs, 1, MPI_INT, i, tag, MPI_COMM_WORLD);
465 MPI_Send(&MPIPos[0], (numFastaSeqs+1), MPI_LONG, i, tag, MPI_COMM_WORLD);
468 //figure out how many sequences you have to align
469 numSeqsPerProcessor = numFastaSeqs / processors;
470 int startIndex = pid * numSeqsPerProcessor;
471 if(pid == (processors - 1)){ numSeqsPerProcessor = numFastaSeqs - pid * numSeqsPerProcessor; }
475 driverMPI(startIndex, numSeqsPerProcessor, inMPI, outMPINewTax, outMPITempTax, MPIPos);
477 if (m->control_pressed) { MPI_File_close(&inMPI); MPI_File_close(&outMPINewTax); MPI_File_close(&outMPITempTax); for (int i = 0; i < outputNames.size(); i++) { remove(outputNames[i].c_str()); } delete classify; return 0; }
479 for (int i = 1; i < processors; i++) {
481 MPI_Recv(&done, 1, MPI_INT, i, tag, MPI_COMM_WORLD, &status);
483 }else{ //you are a child process
484 MPI_Recv(&numFastaSeqs, 1, MPI_INT, 0, tag, MPI_COMM_WORLD, &status);
485 MPIPos.resize(numFastaSeqs+1);
486 MPI_Recv(&MPIPos[0], (numFastaSeqs+1), MPI_LONG, 0, tag, MPI_COMM_WORLD, &status);
488 //figure out how many sequences you have to align
489 numSeqsPerProcessor = numFastaSeqs / processors;
490 int startIndex = pid * numSeqsPerProcessor;
491 if(pid == (processors - 1)){ numSeqsPerProcessor = numFastaSeqs - pid * numSeqsPerProcessor; }
495 driverMPI(startIndex, numSeqsPerProcessor, inMPI, outMPINewTax, outMPITempTax, MPIPos);
497 if (m->control_pressed) { MPI_File_close(&inMPI); MPI_File_close(&outMPINewTax); MPI_File_close(&outMPITempTax); delete classify; return 0; }
500 MPI_Send(&done, 1, MPI_INT, 0, tag, MPI_COMM_WORLD);
504 MPI_File_close(&inMPI);
505 MPI_File_close(&outMPINewTax);
506 MPI_File_close(&outMPITempTax);
507 MPI_Barrier(MPI_COMM_WORLD); //make everyone wait - just in case
510 #if defined (__APPLE__) || (__MACH__) || (linux) || (__linux)
513 openInputFile(fastaFileNames[s], inFASTA);
514 getNumSeqs(inFASTA, numFastaSeqs);
517 lines.push_back(new linePair(0, numFastaSeqs));
519 driver(lines[0], newTaxonomyFile, tempTaxonomyFile, fastaFileNames[s]);
522 vector<unsigned long int> positions;
523 processIDS.resize(0);
526 openInputFile(fastaFileNames[s], inFASTA);
529 while(!inFASTA.eof()){
530 input = getline(inFASTA);
531 if (input.length() != 0) {
532 if(input[0] == '>'){ unsigned long int pos = inFASTA.tellg(); positions.push_back(pos - input.length() - 1); }
537 numFastaSeqs = positions.size();
539 int numSeqsPerProcessor = numFastaSeqs / processors;
541 for (int i = 0; i < processors; i++) {
542 unsigned long int startPos = positions[ i * numSeqsPerProcessor ];
543 if(i == processors - 1){
544 numSeqsPerProcessor = numFastaSeqs - i * numSeqsPerProcessor;
546 lines.push_back(new linePair(startPos, numSeqsPerProcessor));
548 createProcesses(newTaxonomyFile, tempTaxonomyFile, fastaFileNames[s]);
550 rename((newTaxonomyFile + toString(processIDS[0]) + ".temp").c_str(), newTaxonomyFile.c_str());
551 rename((tempTaxonomyFile + toString(processIDS[0]) + ".temp").c_str(), tempTaxonomyFile.c_str());
553 for(int i=1;i<processors;i++){
554 appendTaxFiles((newTaxonomyFile + toString(processIDS[i]) + ".temp"), newTaxonomyFile);
555 appendTaxFiles((tempTaxonomyFile + toString(processIDS[i]) + ".temp"), tempTaxonomyFile);
556 remove((newTaxonomyFile + toString(processIDS[i]) + ".temp").c_str());
557 remove((tempTaxonomyFile + toString(processIDS[i]) + ".temp").c_str());
563 openInputFile(fastaFileNames[s], inFASTA);
564 getNumSeqs(inFASTA, numFastaSeqs);
567 lines.push_back(new linePair(0, numFastaSeqs));
569 driver(lines[0], newTaxonomyFile, tempTaxonomyFile, fastaFileNames[s]);
573 m->mothurOutEndLine();
574 m->mothurOut("It took " + toString(time(NULL) - start) + " secs to classify " + toString(numFastaSeqs) + " sequences."); m->mothurOutEndLine(); m->mothurOutEndLine();
579 if (pid == 0) { //this part does not need to be paralellized
581 if(namefile != "") { m->mothurOut("Reading " + namefileNames[s] + "..."); cout.flush(); MPIReadNamesFile(namefileNames[s]); m->mothurOut(" Done."); m->mothurOutEndLine(); }
586 m->mothurOut("Reading " + namefileNames[s] + "..."); cout.flush();
588 nameMap.clear(); //remove old names
591 openInputFile(namefileNames[s], inNames);
593 string firstCol, secondCol;
594 while(!inNames.eof()) {
595 inNames >> firstCol >> secondCol; gobble(inNames);
598 splitAtComma(secondCol, temp);
600 nameMap[firstCol] = temp;
604 m->mothurOut(" Done."); m->mothurOutEndLine();
609 if (groupfile != "") { group = groupfileNames[s]; }
611 PhyloSummary taxaSum(taxonomyFileName, group);
613 if (m->control_pressed) { for (int i = 0; i < outputNames.size(); i++) { remove(outputNames[i].c_str()); } delete classify; return 0; }
615 if (namefile == "") { taxaSum.summarize(tempTaxonomyFile); }
618 openInputFile(tempTaxonomyFile, in);
620 //read in users taxonomy file and add sequences to tree
624 in >> name >> taxon; gobble(in);
626 itNames = nameMap.find(name);
628 if (itNames == nameMap.end()) {
629 m->mothurOut(name + " is not in your name file please correct."); m->mothurOutEndLine(); exit(1);
631 for (int i = 0; i < itNames->second.size(); i++) {
632 taxaSum.addSeqToTree(itNames->second[i], taxon); //add it as many times as there are identical seqs
634 itNames->second.clear();
635 nameMap.erase(itNames->first);
640 remove(tempTaxonomyFile.c_str());
642 if (m->control_pressed) { for (int i = 0; i < outputNames.size(); i++) { remove(outputNames[i].c_str()); } delete classify; return 0; }
646 openOutputFile(taxSummary, outTaxTree);
647 taxaSum.print(outTaxTree);
650 //output taxonomy with the unclassified bins added
652 openInputFile(newTaxonomyFile, inTax);
655 string unclass = newTaxonomyFile + ".unclass.temp";
656 openOutputFile(unclass, outTax);
658 //get maxLevel from phylotree so you know how many 'unclassified's to add
659 int maxLevel = taxaSum.getMaxLevel();
661 //read taxfile - this reading and rewriting is done to preserve the confidence scores.
663 while (!inTax.eof()) {
664 if (m->control_pressed) { for (int i = 0; i < outputNames.size(); i++) { remove(outputNames[i].c_str()); } remove(unclass.c_str()); delete classify; return 0; }
666 inTax >> name >> taxon; gobble(inTax);
668 string newTax = addUnclassifieds(taxon, maxLevel);
670 outTax << name << '\t' << newTax << endl;
675 remove(newTaxonomyFile.c_str());
676 rename(unclass.c_str(), newTaxonomyFile.c_str());
678 m->mothurOutEndLine();
679 m->mothurOut("It took " + toString(time(NULL) - start) + " secs to create the summary file for " + toString(numFastaSeqs) + " sequences."); m->mothurOutEndLine(); m->mothurOutEndLine();
685 m->mothurOutEndLine();
686 m->mothurOut("Output File Names: "); m->mothurOutEndLine();
687 for (int i = 0; i < outputNames.size(); i++) { m->mothurOut(outputNames[i]); m->mothurOutEndLine(); }
688 m->mothurOutEndLine();
694 catch(exception& e) {
695 m->errorOut(e, "ClassifySeqsCommand", "execute");
700 /**************************************************************************************************/
701 string ClassifySeqsCommand::addUnclassifieds(string tax, int maxlevel) {
703 string newTax, taxon;
706 //keep what you have counting the levels
707 while (tax.find_first_of(';') != -1) {
709 taxon = tax.substr(0,tax.find_first_of(';'))+';';
710 tax = tax.substr(tax.find_first_of(';')+1, tax.length());
715 //add "unclassified" until you reach maxLevel
716 while (level < maxlevel) {
717 newTax += "unclassified;";
723 catch(exception& e) {
724 m->errorOut(e, "ClassifySeqsCommand", "addUnclassifieds");
729 /**************************************************************************************************/
731 void ClassifySeqsCommand::createProcesses(string taxFileName, string tempTaxFile, string filename) {
733 #if defined (__APPLE__) || (__MACH__) || (linux) || (__linux)
735 // processIDS.resize(0);
737 //loop through and create all the processes you want
738 while (process != processors) {
742 processIDS.push_back(pid); //create map from line number to pid so you can append files in correct order later
745 driver(lines[process], taxFileName + toString(getpid()) + ".temp", tempTaxFile + toString(getpid()) + ".temp", filename);
747 }else { m->mothurOut("unable to spawn the necessary processes."); m->mothurOutEndLine(); exit(0); }
750 //force parent to wait until all the processes are done
751 for (int i=0;i<processors;i++) {
752 int temp = processIDS[i];
757 catch(exception& e) {
758 m->errorOut(e, "ClassifySeqsCommand", "createProcesses");
762 /**************************************************************************************************/
764 void ClassifySeqsCommand::appendTaxFiles(string temp, string filename) {
769 openOutputFileAppend(filename, output);
770 openInputFile(temp, input);
772 while(char c = input.get()){
773 if(input.eof()) { break; }
774 else { output << c; }
780 catch(exception& e) {
781 m->errorOut(e, "ClassifySeqsCommand", "appendTaxFiles");
786 //**********************************************************************************************************************
788 int ClassifySeqsCommand::driver(linePair* line, string taxFName, string tempTFName, string filename){
791 openOutputFile(taxFName, outTax);
793 ofstream outTaxSimple;
794 openOutputFile(tempTFName, outTaxSimple);
797 openInputFile(filename, inFASTA);
799 inFASTA.seekg(line->start);
803 for(int i=0;i<line->numSeqs;i++){
804 if (m->control_pressed) { return 0; }
806 Sequence* candidateSeq = new Sequence(inFASTA); gobble(inFASTA);
808 if (candidateSeq->getName() != "") {
809 taxonomy = classify->getTaxonomy(candidateSeq);
811 if (m->control_pressed) { delete candidateSeq; return 0; }
813 if (taxonomy != "bad seq") {
814 //output confidence scores or not
816 outTax << candidateSeq->getName() << '\t' << taxonomy << endl;
818 outTax << candidateSeq->getName() << '\t' << classify->getSimpleTax() << endl;
821 outTaxSimple << candidateSeq->getName() << '\t' << classify->getSimpleTax() << endl;
826 if((i+1) % 100 == 0){
827 m->mothurOut("Classifying sequence " + toString(i+1)); m->mothurOutEndLine();
833 outTaxSimple.close();
837 catch(exception& e) {
838 m->errorOut(e, "ClassifySeqsCommand", "driver");
842 //**********************************************************************************************************************
844 int ClassifySeqsCommand::driverMPI(int start, int num, MPI_File& inMPI, MPI_File& newFile, MPI_File& tempFile, vector<long>& MPIPos){
846 MPI_Status statusNew;
847 MPI_Status statusTemp;
851 MPI_Comm_rank(MPI_COMM_WORLD, &pid); //find out who we are
856 for(int i=0;i<num;i++){
858 if (m->control_pressed) { return 0; }
861 int length = MPIPos[start+i+1] - MPIPos[start+i];
862 char* buf4 = new char[length];
863 MPI_File_read_at(inMPI, MPIPos[start+i], buf4, length, MPI_CHAR, &status);
865 string tempBuf = buf4;
866 if (tempBuf.length() > length) { tempBuf = tempBuf.substr(0, length); }
867 istringstream iss (tempBuf,istringstream::in);
870 Sequence* candidateSeq = new Sequence(iss);
872 if (candidateSeq->getName() != "") {
873 taxonomy = classify->getTaxonomy(candidateSeq);
875 if (taxonomy != "bad seq") {
876 //output confidence scores or not
878 outputString = candidateSeq->getName() + "\t" + taxonomy + "\n";
880 outputString = candidateSeq->getName() + "\t" + classify->getSimpleTax() + "\n";
883 int length = outputString.length();
884 char* buf2 = new char[length];
885 memcpy(buf2, outputString.c_str(), length);
887 MPI_File_write_shared(newFile, buf2, length, MPI_CHAR, &statusNew);
890 outputString = candidateSeq->getName() + "\t" + classify->getSimpleTax() + "\n";
891 length = outputString.length();
892 char* buf = new char[length];
893 memcpy(buf, outputString.c_str(), length);
895 MPI_File_write_shared(tempFile, buf, length, MPI_CHAR, &statusTemp);
901 if((i+1) % 100 == 0){ cout << "Classifying sequence " << (i+1) << endl; }
904 if(num % 100 != 0){ cout << "Classifying sequence " << (num) << endl; }
909 catch(exception& e) {
910 m->errorOut(e, "ClassifySeqsCommand", "driverMPI");
915 //**********************************************************************************************************************
916 int ClassifySeqsCommand::MPIReadNamesFile(string nameFilename){
919 nameMap.clear(); //remove old names
925 //char* inFileName = new char[nameFilename.length()];
926 //memcpy(inFileName, nameFilename.c_str(), nameFilename.length());
928 char inFileName[1024];
929 strcpy(inFileName, nameFilename.c_str());
931 MPI_File_open(MPI_COMM_WORLD, inFileName, MPI_MODE_RDONLY, MPI_INFO_NULL, &inMPI);
932 MPI_File_get_size(inMPI, &size);
935 char* buffer = new char[size];
936 MPI_File_read(inMPI, buffer, size, MPI_CHAR, &status);
938 string tempBuf = buffer;
939 if (tempBuf.length() > size) { tempBuf = tempBuf.substr(0, size); }
940 istringstream iss (tempBuf,istringstream::in);
943 string firstCol, secondCol;
945 iss >> firstCol >> secondCol; gobble(iss);
948 splitAtComma(secondCol, temp);
950 nameMap[firstCol] = temp;
953 MPI_File_close(&inMPI);
957 catch(exception& e) {
958 m->errorOut(e, "ClassifySeqsCommand", "MPIReadNamesFile");
963 /**************************************************************************************************/