Mercurial > repos > peterjc > tmhmm_and_signalp

annotate tools/protein_analysis/seq_analysis_utils.py @ 34:7a2e20baacee draft default tip

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"v0.2.13 - Python 3 fix for raising StopIteration"
author peterjc
date Thu, 17 Jun 2021 17:58:23 +0000
parents 20da7f48b56f
children
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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
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11 from __future__ import print_function
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12
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13 import os
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14 import subprocess
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15 import sys
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16
0
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17 from time import sleep
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18
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19 if sys.version_info[0] < 3:
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20 range = xrange # noqa: F821
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21
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7a2e20baacee "v0.2.13 - Python 3 fix for raising StopIteration"
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22 __version__ = "0.0.5"
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23
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24 try:
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25 from multiprocessing import cpu_count
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26 except ImportError:
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27 # Must be under Python 2.5, this is copied from multiprocessing:
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28 def cpu_count():
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29 """Return the number of CPUs in the system."""
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30 if sys.platform == "win32":
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31 try:
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32 num = int(os.environ["NUMBER_OF_PROCESSORS"])
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33 except (ValueError, KeyError):
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34 num = 0
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35 elif "bsd" in sys.platform or sys.platform == "darwin":
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36 comm = "/sbin/sysctl -n hw.ncpu"
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37 if sys.platform == "darwin":
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38 comm = "/usr" + comm
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39 try:
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40 with os.popen(comm) as p:
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41 num = int(p.read())
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42 except ValueError:
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43 num = 0
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44 else:
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45 try:
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46 num = os.sysconf("SC_NPROCESSORS_ONLN")
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47 except (ValueError, OSError, AttributeError):
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48 num = 0
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49
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50 if num >= 1:
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51 return num
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52 else:
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53 raise NotImplementedError("cannot determine number of cpus")
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56 def thread_count(command_line_arg, default=1):
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57 """Determine number of threads to use from the command line args."""
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58 try:
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59 num = int(command_line_arg)
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60 except ValueError:
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61 num = default
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62 if num < 1:
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63 sys.exit("Threads argument %r is not a positive integer" % command_line_arg)
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64 # Cap this with the pysical limit of the machine,
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65 try:
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66 num = min(num, cpu_count())
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67 except NotImplementedError:
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68 pass
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69 # For debugging,
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70 # hostname = os.environ.get("HOSTNAME", "this machine")
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71 # sys.stderr.write("Using %i cores on %s\n" % (num, hostname))
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72 return num
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73
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74
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75 def fasta_iterator(filename, max_len=None, truncate=None):
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76 """Parse FASTA file yielding tuples of (name, sequence)."""
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77 handle = open(filename)
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78 title, seq = "", ""
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79 for line in handle:
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80 if line.startswith(">"):
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81 if title:
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82 if truncate:
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83 seq = seq[:truncate]
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84 if max_len and len(seq) > max_len:
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85 raise ValueError(
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86 "Sequence %s is length %i, max length %i"
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87 % (title.split()[0], len(seq), max_len)
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88 )
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89 yield title, seq
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90 title = line[1:].rstrip()
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91 seq = ""
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92 elif title:
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93 seq += line.strip()
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94 elif not line.strip() or line.startswith("#"):
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95 # Ignore blank lines, and any comment lines
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96 # between records (starting with hash).
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97 pass
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98 else:
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99 handle.close()
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100 raise ValueError("Bad FASTA line %r" % line)
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101 handle.close()
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102 if title:
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103 if truncate:
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104 seq = seq[:truncate]
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105 if max_len and len(seq) > max_len:
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106 raise ValueError(
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107 "Sequence %s is length %i, max length %i"
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108 % (title.split()[0], len(seq), max_len)
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109 )
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110 yield title, seq
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111
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112
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113 def split_fasta(
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114 input_filename,
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115 output_filename_base,
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116 n=500,
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117 truncate=None,
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118 keep_descr=False,
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119 max_len=None,
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120 ):
0
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121 """Split FASTA file into sub-files each of at most n sequences.
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122
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123 Returns a list of the filenames used (based on the input filename).
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124 Each sequence can also be truncated (since we only need the start for
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125 SignalP), and have its description discarded (since we don't usually
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126 care about it and some tools don't like very long title lines).
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127
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128 If a max_len is given and any sequence exceeds it no temp files are
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129 created and an exception is raised.
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130 """
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131 iterator = fasta_iterator(input_filename, max_len, truncate)
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132 files = []
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133 try:
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134 while True:
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135 records = []
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136 for i in range(n):
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137 try:
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138 records.append(next(iterator))
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139 except StopIteration:
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140 break
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141 if not records:
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142 break
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143 new_filename = "%s.%i.tmp" % (output_filename_base, len(files))
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144 handle = open(new_filename, "w")
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145 if keep_descr:
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146 for title, seq in records:
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147 handle.write(">%s\n" % title)
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148 for i in range(0, len(seq), 60):
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149 handle.write(seq[i : i + 60] + "\n")
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150 else:
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151 for title, seq in records:
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152 handle.write(">%s\n" % title.split()[0])
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153 for i in range(0, len(seq), 60):
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154 handle.write(seq[i : i + 60] + "\n")
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155 handle.close()
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156 files.append(new_filename)
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157 # print "%i records in %s" % (len(records), new_filename)
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158 except ValueError as err:
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159 # Max length failure from parser - clean up
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160 try:
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161 handle.close()
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162 except Exception:
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163 pass
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164 for f in files:
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165 if os.path.isfile(f):
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166 os.remove(f)
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167 raise err
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168 for f in files:
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169 assert os.path.isfile(f), "Missing split file %r (!??)" % f
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170 return files
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171
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172
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173 def run_jobs(jobs, threads, pause=10, verbose=False, fast_fail=True):
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174 """Take list of cmd strings, return dict with error levels."""
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175 pending = jobs[:]
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176 running = []
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177 results = {}
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178 skipped = []
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179 if threads == 1:
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180 # Special case this for speed, don't need the waits
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181 for cmd in jobs:
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182 results[cmd] = subprocess.call(cmd, shell=True)
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183 return results
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184 failed = False
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185 while pending or running:
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186 # See if any have finished
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187 for (cmd, process) in running:
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188 return_code = process.poll() # non-blocking
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189 if return_code is not None:
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190 results[cmd] = return_code
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191 if return_code:
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192 failed = True
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193 running = [(cmd, process) for (cmd, process) in running if cmd not in results]
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194 if verbose:
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195 print(
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196 "%i jobs pending, %i running, %i completed"
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197 % (len(pending), len(running), len(results))
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198 )
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199 # See if we can start any new threads
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200 if pending and failed and fast_fail:
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201 # Don't start any more jobs
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202 if verbose:
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203 print("Failed, will not start remaining %i jobs" % len(pending))
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204 skipped = pending
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205 pending = []
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206 while pending and len(running) < threads:
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207 cmd = pending.pop(0)
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208 if verbose:
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209 print(cmd)
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210 process = subprocess.Popen(cmd, shell=True)
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211 running.append((cmd, process))
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212 # Loop...
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213 sleep(pause)
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214 if verbose:
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215 print("%i jobs completed" % len(results))
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216 assert set(jobs) == set(results).union(skipped)
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217 return results