comparison commons/launcher/LaunchTallymer.py @ 18:94ab73e8a190

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18:94ab73e8a190

#!/usr/bin/env python

"""
Launch Tallymer's sub programs, generate map file, and convert output to gff and wig, as well as visual (RPlot) data
"""

# Copyright INRA (Institut National de la Recherche Agronomique)
# http://www.inra.fr
# http://urgi.versailles.inra.fr
#
# This software is governed by the CeCILL license under French law and
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# modify and/ or redistribute the software under the terms of the CeCILL
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#
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import os
import shutil
import subprocess
import time
from commons.core.utils.RepetOptionParser import RepetOptionParser
from commons.core.LoggerFactory import LoggerFactory
from SMART.Java.Python.convertTranscriptFile import ConvertTranscriptFile
from commons.core.seq.BioseqUtils import BioseqUtils
from commons.core.seq.BioseqDB import BioseqDB
from Tallymer_pipe.PlotBenchMarkGFFFiles import PlotBenchMarkGFFFiles

LOG_DEPTH = "repet.tools"


class LaunchTallymer(object):
    """
    Launch Tallymer's sub programs, generate map file, and convert output to
    gff and wig, as well as visual (RPlot) data
    """
    
    _lValidFormats = ["gff", "gff3", "wig", "bed", "map"]
    
    def __init__(self, inputFasta="", indexationFasta=None, merSize=20, minOccs=4, outputFormats="gff", nLargestScaffoldsToPlot=0, clean=False, verbosity=0):
        self.inputFasta = inputFasta
        self.indexationFasta = indexationFasta if indexationFasta != None else inputFasta 
        self.merSize = merSize
        self.minOccs = minOccs
        self.outputFormats = outputFormats
        self.nLargestScaffoldsToPlot = nLargestScaffoldsToPlot
        self.doClean = clean
        self.verbosity = verbosity
        
        self._log = LoggerFactory.createLogger("%s.%s" % (LOG_DEPTH, self.__class__.__name__), self.verbosity)
        self._workdir = os.path.join(os.getcwd(), "launchTallymer_%s" % time.strftime("%Y%m%d%H%M%S"))
        self._tmpSearchFileName = None
        self._tmpMapFileName = None
        self._tmpStatFileName = None   
        self._tmpPngFileName = None
        self._plot_data = {}
        self._plot_data2 = {}
        
    def setAttributesFromCmdLine(self):
        description = "Generates stats from the results of the tallymer search ."    
        parser = RepetOptionParser(description=description)
        parser.add_option("-i", "--inputFasta", dest="inputFasta", default = "",  action="store", type="string", help="input fasta file [compulsory] [format: fasta]")
        parser.add_option("-u", "--indexationFasta", dest="indexationFasta", default = "",  action="store", type="string", help="input indexation fasta file used to generate kmer index (defaults to input fasta)[optional] [format: fasta]")
        parser.add_option("-s", "--merSize", dest="merSize", default = 20,  action="store", type="int", help="input merSize [optional][default:20]")
        parser.add_option("-m", "--minOccs", dest="minOccs", default = 4,  action="store", type="int", help="input minimal kmer occurence count [default:4]")
        parser.add_option("-f", "--outputFormats", dest="outputFormats", default = "gff",  action="store", type="string", help="comma separated list of output file formats (can  be %s) [optional] [default:gff]" % ", ".join(self._lValidFormats))
        parser.add_option("-n", "--nLargestScaffoldsToPlot",default = 0, type="int", action="store", dest = "nLargestScaffoldsToPlot", help = "generate graph of Kmer repartition along the input sequence for the n biggest scaffolds")
        parser.add_option("-c", "--clean", dest = "clean", help = "clean temporary files", default = False, action="store_true")
        parser.add_option("-v", "--verbosity", dest="verbosity", default = 1,  action="store", type="int", help="verbosity [optional] ")
        options, args = parser.parse_args()
        self._setAttributesFromOptions(options)
        
    def _setAttributesFromOptions(self, options):
        self.inputFasta = options.inputFasta
        self.indexationFasta = options.indexationFasta if options.indexationFasta != "" else options.inputFasta
        self.merSize = options.merSize
        self.minOccs = options.minOccs
        self.outputFormats = options.outputFormats
        self.nLargestScaffoldsToPlot = options.nLargestScaffoldsToPlot
        self.doClean = options.clean
        self.verbosity = options.verbosity
        
    def _checkOptions(self):
        if self.inputFasta == "":
            self._logAndRaise("Error: missing input fasta file")
        if self.merSize < 1:
            self._logAndRaise("Error: invalid kmer size '%i'; must be a positive integer" % self.merSize)
            
        self.outputFormats = self.outputFormats.lower().split(',')
        sOutFormats = set(self.outputFormats)
        sValidFormats = set(self._lValidFormats)
        lInvalidFormats = list(sOutFormats - sValidFormats)
        self.outputFormats = list(sValidFormats.intersection(sOutFormats))
        if lInvalidFormats:
            self._log.warning("Warning: ignoring invalid formats: <%s>" % " ".join(lInvalidFormats))
        if not self.outputFormats:
            self._logAndRaise("Error: no valid output formats specified")

    def _logAndRaise(self, errorMsg):
        self._log.error(errorMsg)
        raise Exception(errorMsg)
    
    def clean(self):
        try:
            shutil.rmtree(self._workdir)
        except Exception as inst: 
            self._log.error(inst)
                    
    def run(self):
        LoggerFactory.setLevel(self._log, self.verbosity)
        self._checkOptions()
        self._log.debug("Input fasta file: %s; K-mer size: %s; Output formats: %s; Cleaning: %s" % (self.inputFasta, self.merSize, str(self.outputFormats), self.doClean))
        try:
            os.makedirs(self._workdir)
        except:pass
        
        srcPath = os.path.abspath(self.inputFasta)
        dstPath = os.path.join(self._workdir,os.path.basename(self.inputFasta))
        os.symlink(srcPath, dstPath)
        
        if (self.indexationFasta !=  self.inputFasta):
            srcPath = os.path.abspath(self.indexationFasta)
            dstPath = os.path.join(self._workdir,os.path.basename(self.indexationFasta))
            try:
                os.symlink(srcPath, dstPath)
            except OSError as inst:
                pass
        
        os.chdir(self._workdir)
        
        if (self.indexationFasta !=  self.inputFasta):
            self.indexationFasta = os.path.basename(self.indexationFasta)
        else:
            self.indexationFasta = os.path.basename(self.inputFasta)
        self.inputFasta = os.path.basename(self.inputFasta)
        
        self._tmpSearchFileName = "%s.tallymer" % os.path.splitext(os.path.basename(self.inputFasta))[0]
        self._tmpMapFileName = "%s_tmp.map" % self._tmpSearchFileName
        self._tmpStatFileName = "%s.stat" % self._tmpSearchFileName
        self._tmpPngFileName = "%s.png" % self._tmpSearchFileName
        
        
            
        
        
        self._runTallymerSearch()
        self._convertTallymerToMap()
        self._writeOutputFiles()
            
        if self.nLargestScaffoldsToPlot > 0:
            self._doPlot()
            shutil.copy2(self._tmpPngFileName, "../.")
        
        shutil.copy2(self._tmpStatFileName, "../.")
        os.chdir("..")
        
        if self.doClean:
            self.clean()

    def _runTallymerSearch(self):
        self._log.info("Starting to run tallymer search of sequence %s " % (self.inputFasta))
        self._indexInputFastaFile()
        self._countAndIndexKmersForGivenK()
        self._searchKmersListInTallymerIndex()
        self._log.info("Finished running tallymer scan of sequence %s " % (self.inputFasta))
        
    def _convertTallymerToMap(self):
        self._log.info("Starting to run tallymer search to map conversion")
        totalNbOcc, dKmer2Occ, self._plot_data, self._plot_data2 = ConvertUtils.convertTallymerFormatIntoMapFormatAndGenerateData(self.inputFasta, self._tmpSearchFileName, self._tmpMapFileName)
        self._log.debug("totalNbOcc=%i" % totalNbOcc)
        self._writeOccurencesNbAndFrequencyOfKmers(totalNbOcc, dKmer2Occ)        
        self._log.info("Finished tallymer search to map conversion")
    
    def _doPlot(self):
        iBioseqDB = BioseqDB()
        iBioseqDB.load(self.inputFasta)
        largest_seqsDb = iBioseqDB.bestLength(self.nLargestScaffoldsToPlot)
        
        for seq in largest_seqsDb.db:
            headerCleaned = seq.header.replace(" ", "_")
            shortFastaName = "%s_%s" % (os.path.basename(self.inputFasta),headerCleaned)
            data = self._plot_data2[seq.header]
            gffPlotter = PlotBenchMarkGFFFiles(yLabel="Number of Kmer Occurences", maxLength=1, title="Kmer repartition along the input sequence: %s; MerSize: %i" % (shortFastaName, self.merSize) )
            gffPlotter.setOutFileName("%s_%s.png" % (self._tmpSearchFileName, headerCleaned))
            gffPlotter._title = "Mers along the input sequence: %s MerSize: %i" % (shortFastaName, self.merSize) 
            gffPlotter._xLabel = "Coordinates along the input sequence (%s)" % shortFastaName
            gffPlotter._rawData = data
            gffPlotter.run()

    def _indexInputFastaFile(self):
        self._log.debug("index the input fasta file: get an enhanced suffix array.")
        cmd = "gt suffixerator -dna -pl -tis -suf -lcp -v -db %s -indexname %s.reads" % (self.indexationFasta, self.indexationFasta)
        process = subprocess.Popen(cmd.split(' '),stdout=subprocess.PIPE, stderr=subprocess.PIPE)
        self._log.debug("Running suffixerator with following params %s" % cmd)
        output = process.communicate()
        self._log.debug("Suffixerator Output:\n%s" % output[0])
        if process.returncode != 0:
            self._logAndRaise("Error in generating enhanced suffix array in %s" % self.indexationFasta)

    def _countAndIndexKmersForGivenK(self):
        self._log.debug("Counting and indexing k-mers for k = %i " % self.merSize)
        cmd = "gt tallymer mkindex -mersize %i -minocc %i -indexname %s.tyr-reads -counts -pl -esa %s.reads" % (self.merSize, self.minOccs, self.indexationFasta, self.indexationFasta)
        process = subprocess.Popen(cmd.split(' '), stdout=subprocess.PIPE, stderr=subprocess.PIPE)
        self._log.debug("Running tallymer mkindex with following params %s" % cmd)
        output = process.communicate()
        self._log.debug("Tallymer mkindex Output:\n%s" % output[0])
        if process.returncode != 0:
            self._logAndRaise("Error in indexing kmers in %s.reads" % self.indexationFasta)

    def _searchKmersListInTallymerIndex(self):
        self._log.debug("Searching list of kmers in tallymer-index ")
        cmd = "gt tallymer search -output qseqnum qpos counts sequence -tyr %s.tyr-reads -q %s" % (self.indexationFasta, self.inputFasta)
        process = subprocess.Popen(cmd.split(' '),stdout=subprocess.PIPE, stderr=subprocess.PIPE)
        self._log.debug("Running tallymer search with following params %s" % cmd)
        output = process.communicate()
        self._log.debug("Tallymer search Output:\n%s" % output[0])
        if process.returncode != 0:
            self._logAndRaise("Error in searching for kmers in %s.tyr-reads" % self.indexationFasta)
        tmpOutputFile = open(self._tmpSearchFileName,'w')
        tmpOutputFile.write(output[0])
        tmpOutputFile.close()

    def _writeOccurencesNbAndFrequencyOfKmers(self, totalNbOcc, dKmer2Occ):
        with open(self._tmpStatFileName, "w") as statFile:
            statFile.write("kmer\tocc\tfreq\n")
            for kmer in dKmer2Occ.keys():
                statFile.write("%s\t%i\t%.10f\n" % (kmer, dKmer2Occ[kmer], dKmer2Occ[kmer] / float(totalNbOcc)))

    def _writeOutputFiles(self):
        for format in self.outputFormats:
            self._log.info("Generating %s file" % format)
            outputFileName = "%s.tallymer.%s" % (os.path.splitext(self.inputFasta)[0], format)
            try:
                iConvertTranscriptFile = ConvertTranscriptFile(inputFileName=self._tmpMapFileName, name="Tallymer",\
                         inputFormat="map", outputFileName=outputFileName, outputFormat=format,feature= "Match", featurePart="Match-part", verbosity=0) #self.verbosity
                iConvertTranscriptFile.run()
            except Exception as inst:
                self._log.error("Error: %s - Failed to generate %s format ouput, skipping" % (inst, format))
            shutil.copy2(outputFileName, "../.")


class ConvertUtils(object):
    
    def convertTallymerFormatIntoMapFormatAndGenerateData(fastaFileName, searchFileName, mapFileName):
        dIndex2NameLengthList = ConvertUtils._createDictOfNameLengthAccordingToSeqOrder(fastaFileName)
        plotData = {}
        plotData2 = {}
        with open(searchFileName, "r") as talFile:
            with open(mapFileName, "w") as mapFile:
                totalNbOcc = 0
                dKmer2Occ = {}
                line = talFile.readline()
                while line:
                    data = line[:-1].split("\t")
                    name = "%s_%s" % (data[3], data[2])
                    nbOccs = int(data[2])
                    chrname = dIndex2NameLengthList[int(data[0])][0]
                    if data[1][0] == "+":
                        start = int(data[1][1:]) + 1
                        end = start + len(data[3])
                    elif data[1][0] == "-":
                        start_revcomp = int(data[1][1:])
                        start = dIndex2NameLengthList[int(data[0])][1] - start_revcomp - 1
                        end = end - len(data[3]) + 1
                    mapLine = "%s\t%s\t%s\t%s\t%i\n" % (name, chrname, start, end, nbOccs)
                    mapFile.write(mapLine)
                    
                    if plotData2.get(chrname,None) is None:
                        plotData2[chrname] = {}
                    if plotData2[chrname].get(start, None) is None:
                        plotData2[chrname][start]=0
                    plotData2[chrname][start] += nbOccs
                    
                    totalNbOcc += 1
                    if dKmer2Occ.has_key(data[3]):
                        dKmer2Occ[data[3]] += 1
                    else:
                        dKmer2Occ[data[3]] = 1
                    plotData[start] = nbOccs
                    line = talFile.readline()
        return totalNbOcc, dKmer2Occ, plotData, plotData2
    
    convertTallymerFormatIntoMapFormatAndGenerateData = staticmethod(convertTallymerFormatIntoMapFormatAndGenerateData)
    
    def _createDictOfNameLengthAccordingToSeqOrder(fastaFileName):
        with open(fastaFileName) as fastaFile:
            line = fastaFile.readline()
            i = 0
            length = 0
            dIndex2Name = {}
            while line:
                if line[0] == ">":
                    dIndex2Name[i] = [line[1:-1]]
                    if i > 0:
                        dIndex2Name[i - 1].append(length)
                        length = 0
                    i += 1
                else:
                    length += len(line[:-1])
                line = fastaFile.readline()
            dIndex2Name[i - 1].append(length)
        return dIndex2Name
    
    _createDictOfNameLengthAccordingToSeqOrder = staticmethod(_createDictOfNameLengthAccordingToSeqOrder)

if __name__ == "__main__":
    iLaunchTallymer = LaunchTallymer()
    iLaunchTallymer.setAttributesFromCmdLine()
    iLaunchTallymer.run()