Mercurial > repos > stevecassidy > maus

annotate items_to_bpf.py @ 1:4162c1e2ad5f draft

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author stevecassidy
date Wed, 16 Nov 2016 17:33:15 -0500
parents d4c27fdc928b
children c87ee3aec57b
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1 from __future__ import print_function
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2 import argparse
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3 import os
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4 import csv
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5 import re
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6
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7
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8 def parser():
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9 parser = argparse.ArgumentParser(description="Generate BPF Orthographic Transcription from Item List")
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10 parser.add_argument('--item_list', required=True, action="store", type=str, help="File containing list of item URLs")
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11 parser.add_argument('--lexicon', required=True, action="store", type=str, help="File containing lexicon (tsv)")
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12 parser.add_argument('--output_path', required=True, action="store", type=str, help="Path to output file")
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13 return parser.parse_args()
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14
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15 def read_item_list(filename):
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16 """Read an item list from a file
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17 which should be a tabular formatted file
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18 with one column header ItemURL.
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19 Return an instance of ItemGroup"""
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20
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21 with open(filename) as fd:
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22 csvreader = csv.DictReader(fd, dialect='excel-tab')
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23 print("CSV", csvreader.fieldnames)
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24 if 'ItemURL' not in csvreader.fieldnames:
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25 return None
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26 if 'Prompt' not in csvreader.fieldnames:
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27 return None
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28 itemurls = []
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29 for row in csvreader:
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30 itemurls.append((row['Prompt'], row['ItemURL']))
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31
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32 return itemurls
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33
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34 # this file name pattern allows galaxy to discover the dataset designation and type
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35 FNPAT = "%(designation)s#%(ext)s"
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36
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37 def galaxy_name(itemurl, ext):
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38 """Construct a filename suitable for dataset discovery
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39 by Galaxy.
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40
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41 @type itemurl: C{String}
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42 @param itemurl: the item URL from Alveo
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43
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44 @type ext: C{String}
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45 @param ext: the datatype extension for the resulting file
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46 """
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47
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48 itemname = itemurl.split('/')[-1]
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49 fname = FNPAT % {'designation': itemname, 'ext': ext}
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50
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51 return fname
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52
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53
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54 def build_bpf(ortho_trans, lexicon):
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55 """ Given an orthographic transcript, generate a BPF-format phonetic
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56 transcription for passing to MAUS, using the specified lexicon.
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57
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58 @type ortho_trans: C{String}
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59 @param ortho_trans: the (space-separated) orthographic transcript
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60 @type lex: C{Dict}
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61 @param lex: the lexicon to use to translate words to phonetic sybmols
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62
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63 @rtype: C{String}
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64 @returns: the BPF-formatted transcript
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65
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66 @raises IncompleteLexiconError: if there is a word appearing in the
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67 orthographic transcript that is not covered by the lexicon
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68
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69 """
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70
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71 spl = re.compile(r'[\s.,!?"\-]')
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72 words = [w.lower() for w in spl.split(ortho_trans) if w]
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73 ort = []
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74 kan = []
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75
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76 for n, word in enumerate(words):
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77 try:
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78 ort.append("ORT: %d %s" % (n, word))
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79 kan.append("KAN: %d %s" % (n, lexicon[word]))
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80 except KeyError:
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81 raise IncompleteLexiconError("'" + word +
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82 "' not present in lexicon")
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83
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84 nl = u"\n"
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85 return nl.join(ort) + nl + nl.join(kan)
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86
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87
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88 def load_lexicon(lexiconfile):
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89 """ Load the given file as a lexicon dictionary.
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90 Should be a tsv file with two columns, first column
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91 is orthography, second is phonetic transcription.
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92
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93 @type lexiconfile: C{String}
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94 @param lexiconfile: the filename of the lexicon file
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95
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96 @rtype: C{Dict}
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97 @returns: the lexicon, as a dictionary with orthographic entries as keys
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98
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99 """
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100 lex = {}
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101
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102 with open(lexiconfile) as f:
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103 for line in f:
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104 orth, pron = line.split('\t')
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105 lex[orth] = pron
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106
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107 return lex
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108
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109
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110 def list_to_bpf(item_list, lexicon, output_path):
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111 """
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112 Generate a BPF file for each item in this item list.
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113 Items consist of (prompt, ItemURL). URL is used to generate output
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114 file name.
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115
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116 :type documents: list of pyalveo.Document
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117 :param documents: Documents to download
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118
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119 :type output_path: String
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120 :param output_path: directory to download to the documents to
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121 """
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122 if not os.path.exists(output_path):
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123 os.makedirs(output_path)
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124
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125 for prompt, itemURL in item_list:
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126
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127 fname = galaxy_name(itemURL, 'par')
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128 bpftext = build_bpf(prompt, lexicon)
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129 with open(os.path.join(output_path, fname), 'w') as out:
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130 out.write(bpftext)
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131
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132
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133 def main():
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134 args = parser()
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135 item_list = read_item_list(args.item_list)
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136 lexicon = load_lexicon(args.lexicon)
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137 list_to_bpf(item_list, lexicon, args.output_path)
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138
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139
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140 if __name__ == '__main__':
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141 main()