Mercurial > repos > yufei-luo > s_mart
comparison SMART/DiffExpAnal/fastq_groomer_parallel_unSQL.py @ 31:0ab839023fe4
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author | m-zytnicki |
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date | Tue, 30 Apr 2013 14:33:21 -0400 |
parents | 94ab73e8a190 |
children |
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30:5677346472b5 | 31:0ab839023fe4 |
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1 import sys, os, optparse,shutil, random | |
2 from commons.core.launcher.Launcher import Launcher | |
3 from commons.core.sql.TableJobAdaptatorFactory import TableJobAdaptatorFactory | |
4 from commons.core.utils.FileUtils import FileUtils | |
5 | |
6 def _map(iLauncher, cmd, cmdStart, cmdFinish ): | |
7 lCmds = [] | |
8 lCmds.extend(cmd) | |
9 lCmdStart = [] | |
10 lCmdStart.extend(cmdStart) | |
11 lCmdFinish = [] | |
12 lCmdFinish.extend(cmdFinish) | |
13 return(iLauncher.prepareCommands_withoutIndentation(lCmds, lCmdStart, lCmdFinish)) | |
14 | |
15 def splitFastQ(fileName, nbOfSeqPerBatch): | |
16 nbOfLinesPerFile = nbOfSeqPerBatch * 4 | |
17 lOutput = [] | |
18 filePrefix, fileExt = os.path.splitext(os.path.basename(fileName)) | |
19 resDir = os.path.dirname(fileName) | |
20 with open(fileName) as inF: | |
21 fileNb = 1 | |
22 line = inF.readline() | |
23 if not line or nbOfLinesPerFile == 0: | |
24 outFileName = "%s/%s-%s%s" %(resDir, filePrefix, fileNb, fileExt) | |
25 lOutput.append(outFileName) | |
26 f = open(outFileName, "wb") | |
27 shutil.copyfileobj(open(fileName, "rb"), f) | |
28 f.close() | |
29 else: | |
30 while line: | |
31 outFileName = "%s/%s-%s%s" %(resDir, filePrefix, fileNb, fileExt) | |
32 lOutput.append(outFileName) | |
33 with open(outFileName, "w") as outF: | |
34 lineNb = 1 | |
35 while lineNb <= nbOfLinesPerFile and line: | |
36 outF.write(line) | |
37 line = inF.readline() | |
38 lineNb += 1 | |
39 fileNb += 1 | |
40 return lOutput | |
41 | |
42 def joinFastQ(dCutOut2Out): | |
43 for key in dCutOut2Out.keys(): | |
44 FileUtils.catFilesFromList(dCutOut2Out[key],key, False) | |
45 | |
46 def _createFastqGroomerCode(outGroomerNames, inputFileNames, input_type, output_type, force_quality_encoding, summarize_input): | |
47 cmd2Launch = [] | |
48 cmd2Launch.append("log = 0") | |
49 cmd2Launch.append("from galaxy_utils.sequence.fastq import fastqReader, fastqVerboseErrorReader, fastqAggregator, fastqWriter") | |
50 cmd2Launch.append("aggregator = fastqAggregator()") | |
51 cmd2Launch.append("out = fastqWriter( open( '%s', 'wb' ), format = '%s', force_quality_encoding = '%s')" % (outGroomerNames,output_type,force_quality_encoding)) | |
52 cmd2Launch.append("read_count = None") | |
53 if summarize_input: | |
54 cmd2Launch.append("reader = fastqVerboseErrorReader") | |
55 else: | |
56 cmd2Launch.append("reader = fastqReader") | |
57 cmd2Launch.append("for read_count, fastq_read in enumerate( reader( open( '%s' ), format = '%s', apply_galaxy_conventions = True ) ):" % (inputFileNames, input_type)) | |
58 if summarize_input: | |
59 cmd2Launch.append("\taggregator.consume_read( fastq_read )") | |
60 cmd2Launch.append("\tout.write( fastq_read )") | |
61 cmd2Launch.append("out.close()") | |
62 cmd2Launch.append("if read_count is not None:") | |
63 #cmd2Launch.append("\tprint 'Groomed %s %s reads into %s reads.' % ( read_count + 1, %s, %s )" % ('%i', '%s', '%s', input_type,output_type)) | |
64 cmd2Launch.append("\tif '%s' != '%s' and 'solexa' in [ '%s', '%s' ]:" % (input_type, output_type, input_type, output_type)) | |
65 cmd2Launch.append("\t\tprint 'Converted between Solexa and PHRED scores.'") | |
66 if summarize_input: | |
67 cmd2Launch.append("\tprint 'Based upon quality and sequence, the input data is valid for: %s' % ( ', '.join( aggregator.get_valid_formats() ) or 'None' )") | |
68 cmd2Launch.append("\tascii_range = aggregator.get_ascii_range()") | |
69 cmd2Launch.append("\tdecimal_range = aggregator.get_decimal_range()") | |
70 cmd2Launch.append("\tprint 'Input ASCII range: %s(%i) - %s(%i)' % ( repr( ascii_range[0] ), ord( ascii_range[0] ), repr( ascii_range[1] ), ord( ascii_range[1] ) )") | |
71 cmd2Launch.append("\tprint 'Input decimal range: %i - %i' % ( decimal_range[0], decimal_range[1] ) ") | |
72 cmd2Launch.append("else:") | |
73 cmd2Launch.append("\tprint 'No valid FASTQ reads were provided.'") | |
74 cmd2Launch.append("\tlog = 255") | |
75 return cmd2Launch | |
76 | |
77 def stop_err(msg): | |
78 sys.stderr.write("%s\n" % msg) | |
79 sys.exit() | |
80 | |
81 def main(): | |
82 | |
83 input_filename = sys.argv[1] #a txt file | |
84 input_type = sys.argv[2] | |
85 output_filename = sys.argv[3] #a txt file | |
86 output_type = sys.argv[4] | |
87 force_quality_encoding = sys.argv[5] | |
88 summarize_input = sys.argv[6] == 'summarize_input' | |
89 pairedEnd_input = sys.argv[7] | |
90 if pairedEnd_input == 'None': | |
91 pairedEnd_input = None | |
92 else: | |
93 output_pairedEndFileName = sys.argv[8] | |
94 | |
95 if force_quality_encoding == 'None': | |
96 force_quality_encoding = None | |
97 | |
98 #Parse the input txt file and read a list of fastq files | |
99 file = open(input_filename, "r") | |
100 lines = file.readlines() | |
101 inputFileNames = [] | |
102 outGroomerNames = [] | |
103 resDirName = os.path.dirname(output_filename) + "/" | |
104 #Write output txt file and define all output groomer file names | |
105 outFile = open(output_filename, "w") | |
106 for line in lines: | |
107 tab = line.split() | |
108 inputFileNames.append(tab[1]) | |
109 outGroomerName = resDirName + tab[0] + '_outGroomer_%s.fastq' % random.randrange(0, 10000) | |
110 outGroomerNames.append(outGroomerName) | |
111 outFile.write(tab[0] + '\t' + outGroomerName + '\n') | |
112 outFile.close() | |
113 file.close() | |
114 | |
115 if pairedEnd_input != None: | |
116 inPairedFile = open(pairedEnd_input, "r") | |
117 lines = inPairedFile.readlines() | |
118 inputPairedEndFileNames = [] | |
119 outGroomerPairedEndNames = [] | |
120 outPairedEndFile = open(output_pairedEndFileName, "w") | |
121 for line in lines: | |
122 tab = line.split() | |
123 inputPairedEndFileNames.append(tab[1]) | |
124 outGroomerPairedEndName = resDirName + tab[0] + '_outGroomer_pairedEnd_%s.fastq' % random.randrange(0, 10000) | |
125 outGroomerPairedEndNames.append(outGroomerPairedEndName) | |
126 outPairedEndFile.write(tab[0] + '\t' + outGroomerPairedEndName + '\n') | |
127 outPairedEndFile.close() | |
128 inPairedFile.close() | |
129 | |
130 acronym = "fastqGroomer" | |
131 jobdb = TableJobAdaptatorFactory.createJobInstance() | |
132 iLauncher = Launcher(jobdb, os.getcwd(), "", "", os.getcwd(), os.getcwd(), "jobs", "", acronym, acronym, False, True) | |
133 lCmdsTuples = [] | |
134 dCutOut2Out = {} | |
135 lAllFile2remove = [] | |
136 # Write output file | |
137 for i in range(len(outGroomerNames)): | |
138 lCutInputFile = splitFastQ(inputFileNames[i], 20000) | |
139 lAllFile2remove.extend(lCutInputFile) | |
140 lCutOutput = [] | |
141 for cutInput in lCutInputFile: | |
142 cutOutput = "%s_out" % cutInput | |
143 lCutOutput.append(cutOutput) | |
144 lAllFile2remove.extend(lCutOutput) | |
145 cmd2Launch = _createFastqGroomerCode(cutOutput, cutInput, input_type, output_type, force_quality_encoding, summarize_input) | |
146 cmdStart = [] | |
147 cmdFinish = [] | |
148 lCmdsTuples.append(_map(iLauncher, cmd2Launch, cmdStart, cmdFinish)) | |
149 dCutOut2Out[outGroomerNames[i]] = lCutOutput | |
150 if pairedEnd_input != None: | |
151 lCutInputFile = splitFastQ(inputPairedEndFileNames[i], 20000) | |
152 lAllFile2remove.extend(lCutInputFile) | |
153 lCutOutput = [] | |
154 for cutInput in lCutInputFile: | |
155 cutOutput = "%s_out" % cutInput | |
156 lCutOutput.append(cutOutput) | |
157 lAllFile2remove.extend(lCutOutput) | |
158 cmd2Launch = _createFastqGroomerCode(cutOutput, cutInput, input_type, output_type, force_quality_encoding, summarize_input) | |
159 cmdStart = [] | |
160 cmdFinish = [] | |
161 lCmdsTuples.append(_map(iLauncher, cmd2Launch, cmdStart, cmdFinish)) | |
162 dCutOut2Out[outGroomerPairedEndNames[i]] = lCutOutput | |
163 iLauncher.runLauncherForMultipleJobs(acronym, lCmdsTuples, False) | |
164 | |
165 joinFastQ(dCutOut2Out) | |
166 FileUtils.removeFilesFromListIfExist(lAllFile2remove) | |
167 | |
168 if __name__ == "__main__": main() |