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1 import xml.etree.ElementTree as ET
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2 import os
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3 import csv
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4
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5 #TODO Remove DEBUG statements
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6
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7 # XML results files location (modify as needed):
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8 folder_name = "../saves" # Looks in 'saves/' folder from 'scripts/' folder
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9
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10 # get every XML file in folder
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11 for file in os.listdir(folder_name): # You have to put this in folder where output XML files are.
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12 if file.endswith(".xml"):
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13 tree = ET.parse(folder_name + '/' + file)
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14 root = tree.getroot()
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15 #print ["DEBUG Reading " + file + "..."]
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16
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17 # get subject ID from XML file
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18 subject_id = file # file name as subject ID
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19
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20 # get list of all pages this subject evaluated
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21 for audioholder in root.findall("./audioholder"): # iterate over pages
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22 page_name = audioholder.get('id') # get page name
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23 #print ["DEBUG page " + page_name]
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24
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25 if page_name is None: # ignore 'empty' audio_holders
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26 break
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27
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28 file_name = folder_name+'/ratings/'+page_name+'-ratings.csv' # score file name
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29
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30 # create folder 'ratings if not yet created
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31 if not os.path.exists(folder_name + '/ratings'):
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32 os.makedirs(folder_name + '/ratings')
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33
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34 # header: fragment IDs in 'alphabetical' order
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35 # go to fragment column, or create new column if it doesn't exist yet
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36
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37 # get array of audio elements and number of audio elements
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38 audiolist = audioholder.findall("./audioelement")
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39 n_fragments = len(audiolist)
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40
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41 # get alphabetical array of fragment IDs from this subject's XML
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42 fragmentnamelist = [] # make empty list
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43 for audioelement in audiolist: # iterate over all audioelements
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44 fragmentnamelist.append(audioelement.get('id')) # add to list
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45
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46
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47 # if file exists, get header and add 'new' fragments
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48 if os.path.isfile(file_name):
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49 #print ["DEBUG file " + file_name + " already exists - reading header"]
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50 with open(file_name, 'r') as readfile:
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51 filereader = csv.reader(readfile, delimiter=',')
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52 headerrow = filereader.next()
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53 #headerrow = headerrow[1:] # remove first column (empty)
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54
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55 # Which of the fragmentes are in fragmentnamelist but not in headerrow?
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56 newfragments = list(set(fragmentnamelist)-set(headerrow))
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57 newfragments = sorted(newfragments) # new fragments in alphabetical order
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58 # If not empty, read file and rewrite adding extra columns
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59 if newfragments: # if not empty
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60 print ["DEBUG New fragments found: " + str(newfragments)]
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61 with open('temp.csv', 'w') as writefile:
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62 filewriter = csv.writer(writefile, delimiter=',')
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63 filewriter.writerow(headerrow + newfragments) # write new header
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64 for row in filereader: # rewrite row plus empty cells for every new fragment name
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65 #print ["DEBUG Old row: " + str(row)]
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66 filewriter.writerow(row + ['']*len(newfragments))
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67 #print ["DEBUG New row: " + str(row + ['']*len(newfragments))]
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68 os.rename('temp.csv', file_name) # replace old file with temp file
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69 headerrow = headerrow + newfragments
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70 print ["DEBUG New header row: " + str(headerrow)]
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71
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72 # if not, create file and make header
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73 else:
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74 #print ["DEBUG file " + file_name + " doesn't exist yet - making new one"]
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75 headerrow = sorted(fragmentnamelist) # sort alphabetically
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76 headerrow.insert(0,'')
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77 fragmentnamelist = fragmentnamelist[1:] #HACKY FIX inserting in firstrow also affects fragmentnamelist
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78 with open(file_name, 'w') as writefile:
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79 filewriter = csv.writer(writefile, delimiter=',')
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80 filewriter.writerow(headerrow)
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81
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82 # open file to write for this page
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83 writefile = open(file_name, 'a')
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84 filewriter = csv.writer(writefile, delimiter=',')
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85
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86 # prepare row to be written for this subject for this page
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87 ratingrow = [subject_id]
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88
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89 # get scores related to fragment [id]
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90 for fragmentname in headerrow[1:]: # iterate over fragments in header (skip first empty column)
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91 elementvalue = audioholder.find("./audioelement/[@id='"
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92 + fragmentname
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93 + "']/value")
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94 if hasattr(elementvalue, 'text'): # if rating for this fragment exists
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95 ratingrow.append(elementvalue.text) # add to rating row
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96 else: # if this subject has not rated this fragment
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97 ratingrow.append('') # append empty cell
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98
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99 # write row: [subject ID, rating fragment ID 1, ..., rating fragment ID M]
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100 filewriter.writerow(ratingrow)
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101
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