annotate tools/protein_analysis/seq_analysis_utils.py @ 19:f3ecd80850e2 draft

v0.2.9 Python style improvements
author peterjc
date Wed, 01 Feb 2017 09:46:42 -0500
parents eb6ac44d4b8e
children a19b3ded8f33
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1 """A few useful functions for working with FASTA files and running jobs.
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2
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3 This module was originally written to hold common code used in both the TMHMM
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4 and SignalP wrappers in Galaxy.
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5
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6 Given Galaxy currently supports Python 2.4+ this cannot use the Python module
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7 multiprocessing so the function run_jobs instead is a simple pool approach
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8 using just the subprocess library.
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9 """
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10 import sys
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11 import os
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12 import subprocess
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13 from time import sleep
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14
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15 __version__ = "0.0.2"
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16
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17 try:
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18 from multiprocessing import cpu_count
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19 except ImportError:
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20 # Must be under Python 2.5, this is copied from multiprocessing:
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21 def cpu_count():
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22 """Returns the number of CPUs in the system."""
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23 if sys.platform == 'win32':
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24 try:
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25 num = int(os.environ['NUMBER_OF_PROCESSORS'])
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26 except (ValueError, KeyError):
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27 num = 0
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28 elif 'bsd' in sys.platform or sys.platform == 'darwin':
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29 comm = '/sbin/sysctl -n hw.ncpu'
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30 if sys.platform == 'darwin':
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31 comm = '/usr' + comm
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32 try:
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33 with os.popen(comm) as p:
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34 num = int(p.read())
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35 except ValueError:
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36 num = 0
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37 else:
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38 try:
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39 num = os.sysconf('SC_NPROCESSORS_ONLN')
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40 except (ValueError, OSError, AttributeError):
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41 num = 0
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42
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43 if num >= 1:
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44 return num
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45 else:
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46 raise NotImplementedError('cannot determine number of cpus')
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48
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49 def thread_count(command_line_arg, default=1):
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50 try:
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51 num = int(command_line_arg)
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52 except ValueError:
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53 num = default
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54 if num < 1:
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55 sys.exit("Threads argument %r is not a positive integer" % command_line_arg)
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56 # Cap this with the pysical limit of the machine,
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57 try:
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58 num = min(num, cpu_count())
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59 except NotImplementedError:
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60 pass
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61 # For debugging,
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62 # hostname = os.environ.get("HOSTNAME", "this machine")
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63 # sys.stderr.write("Using %i cores on %s\n" % (num, hostname))
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64 return num
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66
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67 def fasta_iterator(filename, max_len=None, truncate=None):
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68 """Simple FASTA parser yielding tuples of (title, sequence) strings."""
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69 handle = open(filename)
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70 title, seq = "", ""
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71 for line in handle:
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72 if line.startswith(">"):
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73 if title:
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74 if truncate:
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75 seq = seq[:truncate]
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76 if max_len and len(seq) > max_len:
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77 raise ValueError("Sequence %s is length %i, max length %i"
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78 % (title.split()[0], len(seq), max_len))
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79 yield title, seq
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80 title = line[1:].rstrip()
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81 seq = ""
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82 elif title:
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83 seq += line.strip()
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84 elif not line.strip() or line.startswith("#"):
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85 # Ignore blank lines, and any comment lines
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86 # between records (starting with hash).
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87 pass
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88 else:
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89 handle.close()
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90 raise ValueError("Bad FASTA line %r" % line)
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91 handle.close()
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92 if title:
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93 if truncate:
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94 seq = seq[:truncate]
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95 if max_len and len(seq) > max_len:
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96 raise ValueError("Sequence %s is length %i, max length %i"
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97 % (title.split()[0], len(seq), max_len))
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98 yield title, seq
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99 raise StopIteration
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100
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101
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102 def split_fasta(input_filename, output_filename_base, n=500, truncate=None, keep_descr=False, max_len=None):
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103 """Split FASTA file into sub-files each of at most n sequences.
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104
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105 Returns a list of the filenames used (based on the input filename).
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106 Each sequence can also be truncated (since we only need the start for
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107 SignalP), and have its description discarded (since we don't usually
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108 care about it and some tools don't like very long title lines).
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109
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110 If a max_len is given and any sequence exceeds it no temp files are
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111 created and an exception is raised.
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112 """
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113 iterator = fasta_iterator(input_filename, max_len, truncate)
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114 files = []
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115 try:
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116 while True:
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117 records = []
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118 for i in range(n):
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119 try:
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120 records.append(iterator.next())
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121 except StopIteration:
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122 break
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123 if not records:
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124 break
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125 new_filename = "%s.%i.tmp" % (output_filename_base, len(files))
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126 handle = open(new_filename, "w")
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127 if keep_descr:
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128 for title, seq in records:
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129 handle.write(">%s\n" % title)
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130 for i in range(0, len(seq), 60):
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131 handle.write(seq[i:i + 60] + "\n")
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132 else:
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133 for title, seq in records:
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134 handle.write(">%s\n" % title.split()[0])
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135 for i in range(0, len(seq), 60):
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136 handle.write(seq[i:i + 60] + "\n")
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137 handle.close()
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138 files.append(new_filename)
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139 # print "%i records in %s" % (len(records), new_filename)
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140 except ValueError, err:
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141 # Max length failure from parser - clean up
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142 try:
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143 handle.close()
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144 except Exception:
0
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145 pass
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146 for f in files:
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147 if os.path.isfile(f):
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148 os.remove(f)
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149 raise err
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150 for f in files:
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151 assert os.path.isfile(f), "Missing split file %r (!??)" % f
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152 return files
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153
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154
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155 def run_jobs(jobs, threads, pause=10, verbose=False):
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156 """Takes list of cmd strings, returns dict with error levels."""
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157 pending = jobs[:]
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158 running = []
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159 results = {}
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160 if threads == 1:
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161 # Special case this for speed, don't need the waits
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162 for cmd in jobs:
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163 results[cmd] = subprocess.call(cmd, shell=True)
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164 return results
0
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165 while pending or running:
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166 # See if any have finished
0
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167 for (cmd, process) in running:
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168 return_code = process.poll() # non-blocking
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169 if return_code is not None:
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170 results[cmd] = return_code
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171 running = [(cmd, process) for (cmd, process) in running
0
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172 if cmd not in results]
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173 if verbose:
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174 print "%i jobs pending, %i running, %i completed" \
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175 % (len(pending), len(running), len(results))
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176 # See if we can start any new threads
0
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177 while pending and len(running) < threads:
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178 cmd = pending.pop(0)
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179 if verbose:
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180 print cmd
0
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181 process = subprocess.Popen(cmd, shell=True)
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182 running.append((cmd, process))
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183 # Loop...
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184 sleep(pause)
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185 if verbose:
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186 print "%i jobs completed" % len(results)
0
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187 assert set(jobs) == set(results)
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188 return results