comparison scripts/timeline_view.py @ 1478:82f43919f385

Paper: Added interface screenshot and box plot example
author Brecht De Man <b.deman@qmul.ac.uk>
date Thu, 15 Oct 2015 20:10:00 +0100
parents
children 1b6fa37d46a4 235594325b84
comparison
equal deleted inserted replaced
-1:000000000000 1478:82f43919f385
1 #!/usr/bin/python
2
3 import xml.etree.ElementTree as ET
4 import os # list files in directory
5 import sys # command line arguments
6 import matplotlib.pyplot as plt # plots
7 import matplotlib.patches as patches # rectangles
8
9 # COMMAND LINE ARGUMENTS
10
11 assert len(sys.argv)<3, "timeline_view takes at most 1 command line argument\n"+\
12 "Use: python timeline_view.py [XML_files_location]"
13
14 # XML results files location
15 if len(sys.argv) == 1:
16 folder_name = "../saves" # Looks in 'saves/' folder from 'scripts/' folder
17 print "Use: python timeline_view.py [XML_files_location]"
18 print "Using default path: " + folder_name
19 elif len(sys.argv) == 2:
20 folder_name = sys.argv[1] # First command line argument is folder
21
22 # check if folder_name exists
23 if not os.path.exists(folder_name):
24 #the file is not there
25 print "Folder '"+folder_name+"' does not exist."
26 sys.exit() # terminate script execution
27 elif not os.access(os.path.dirname(folder_name), os.W_OK):
28 #the file does exist but write privileges are not given
29 print "No write privileges in folder '"+folder_name+"'."
30
31
32 # CONFIGURATION
33
34 # Folder where to store timelines
35 timeline_folder = folder_name + '/timelines/' # Stores in 'saves/timelines/'
36
37 # Font settings
38 font = {'weight' : 'bold',
39 'size' : 16}
40 plt.rc('font', **font)
41
42 # Colormap for to cycle through
43 colormap = ['b', 'r', 'g', 'c', 'm', 'y', 'k']
44
45 # if enabled, x-axis shows time per audioholder, not total test time
46 show_audioholder_time = True
47
48 # bar height (<1 to avoid overlapping)
49 bar_height = 0.6
50
51 # figure size
52 fig_width = 25
53 fig_height = 5
54
55
56 # CODE
57
58 # create timeline_folder if not yet created
59 if not os.path.exists(timeline_folder):
60 os.makedirs(timeline_folder)
61
62 # get every XML file in folder
63 for file in os.listdir(folder_name):
64 if file.endswith(".xml"):
65 tree = ET.parse(folder_name + '/' + file)
66 root = tree.getroot()
67 subject_id = file[:-4] # drop '.xml'
68
69 time_offset = 0 # test starts at zero
70
71 # ONE TIMELINE PER PAGE - make new plot per page
72
73 # get list of all page names
74 for audioholder in root.findall("./audioholder"): # iterate over pages
75 page_name = audioholder.get('id') # get page name
76 plot_empty = True # check if any data is plotted
77
78 if page_name is None: # ignore 'empty' audio_holders
79 break
80
81 # SORT AUDIO ELEMENTS ALPHABETICALLY
82 audioelements = audioholder.findall("./audioelement")
83
84 data = []
85 for elem in audioelements: # from http://effbot.org/zone/element-sort.htm
86 key = elem.get("id")
87 data.append((key, elem))
88 data.sort()
89
90 N_audioelements = len(audioelements) # number of audio elements for this page
91 increment = 0 # increased for every new audioelement
92 audioelements_names = [] # store names of audioelements
93
94 # get axes handle
95 fig = plt.figure(figsize=(fig_width, fig_height))
96 ax = fig.add_subplot(111) #, aspect='equal'
97
98 # for page [page_name], print comments related to fragment [id]
99 for tuple in data:
100 audioelement = tuple[1]
101 if audioelement is not None: # Check it exists
102 audio_id = str(audioelement.get('id'))
103 audioelements_names.append(audio_id)
104
105 # for this audioelement, loop over all listen events
106 listen_events = audioelement.findall("./metric/metricresult/[@name='elementListenTracker']/event")
107 for event in listen_events:
108 # mark this plot as not empty
109 plot_empty = False
110
111 # get testtime: start and stop
112 start_time = float(event.find('testtime').get('start'))-time_offset
113 stop_time = float(event.find('testtime').get('stop'))-time_offset
114 # event lines:
115 ax.plot([start_time, start_time], # x-values
116 [0, N_audioelements+1], # y-values
117 color='k'
118 )
119 ax.plot([stop_time, stop_time], # x-values
120 [0, N_audioelements+1], # y-values
121 color='k'
122 )
123 # plot time:
124 ax.add_patch(
125 patches.Rectangle(
126 (start_time, N_audioelements-increment-bar_height/2), # (x, y)
127 stop_time - start_time, # width
128 bar_height, # height
129 color=colormap[increment%len(colormap)] # colour
130 )
131 )
132
133 increment+=1 # to next audioelement
134
135 # subtract total audioholder length from subsequent audioholder event times
136 audioholder_time = audioholder.find("./metric/metricresult/[@id='testTime']")
137 if audioholder_time is not None and show_audioholder_time:
138 time_offset = float(audioholder_time.text)
139
140 if not plot_empty:
141 # set plot parameters
142 plt.title('Timeline ' + file + ": "+page_name)
143 plt.xlabel('Time [seconds]')
144 plt.ylabel('Fragment')
145 plt.ylim(0, N_audioelements+1)
146
147 #y-ticks: fragment IDs, top to bottom
148 plt.yticks(range(N_audioelements, 0, -1), audioelements_names) # show fragment names
149
150
151 #plt.show() # uncomment to show plot; comment when just saving
152 #exit()
153
154 plt.savefig(timeline_folder+subject_id+"-"+page_name+".pdf", bbox_inches='tight')
155 plt.close()
156
157 #TODO: if 'nonsensical' or unknown: dashed line until next event
158 #TODO: Vertical lines for fragment looping point
159