Mercurial > hg > webaudioevaluationtool
view scripts/timeline_view_movement.py @ 1839:c8c633c6590e
Bug #1583 Fix. Popup buttons hidden on successful submission.
author | Nicholas Jillings <nickjillings@users.noreply.github.com> |
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date | Mon, 22 Feb 2016 12:44:55 +0000 |
parents | 27d44af3df3d |
children | 69394f0fd142 |
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#!/usr/bin/python import xml.etree.ElementTree as ET import os # list files in directory import sys # command line arguments import matplotlib.pyplot as plt # plots import matplotlib.patches as patches # rectangles # COMMAND LINE ARGUMENTS assert len(sys.argv)<3, "timeline_view_movement takes at most 1 command line argument\n"+\ "Use: python timeline_view_movement.py [XML_files_location]" # XML results files location if len(sys.argv) == 1: folder_name = "../saves" # Looks in 'saves/' folder from 'scripts/' folder print "Use: python timeline_view_movement.py [XML_files_location]" print "Using default path: " + folder_name elif len(sys.argv) == 2: folder_name = sys.argv[1] # First command line argument is folder # check if folder_name exists if not os.path.exists(folder_name): #the file is not there print "Folder '"+folder_name+"' does not exist." sys.exit() # terminate script execution elif not os.access(os.path.dirname(folder_name), os.W_OK): #the file does exist but write privileges are not given print "No write privileges in folder '"+folder_name+"'." # CONFIGURATION # Folder where to store timelines timeline_folder = folder_name + '/timelines_movement/' # Stores in 'saves/timelines_movement/' by default # Font settings font = {'weight' : 'bold', 'size' : 16} plt.rc('font', **font) # Colormap for to cycle through colormap = ['b', 'g', 'c', 'm', 'y', 'k'] # figure size fig_width = 25 fig_height = 10 # CODE # create timeline_folder if not yet created if not os.path.exists(timeline_folder): os.makedirs(timeline_folder) # get every XML file in folder for file in os.listdir(folder_name): if file.endswith(".xml"): tree = ET.parse(folder_name + '/' + file) root = tree.getroot() subject_id = file[:-4] # drop '.xml' previous_audioholder_time = 0 # time spent before current audioholder time_offset = 0 # test starts at zero # ONE TIMELINE PER PAGE - make new plot per page # get list of all page names for audioholder in root.findall("./audioholder"): # iterate over pages page_name = audioholder.get('id') # get page name plot_empty = True # check if any data is plotted if page_name is None: # ignore 'empty' audio_holders print "Skipping empty audioholder name from "+subject_id+"." break # subtract total audioholder length from subsequent audioholder event times audioholder_time_temp = audioholder.find("./metric/metricresult/[@id='testTime']") if audioholder_time_temp is not None: audioholder_time = float(audioholder_time_temp.text) else: print "Skipping audioholder without total time specified from "+subject_id+"." break # get audioelements audioelements = audioholder.findall("./audioelement") # sort alphabetically data = [] for elem in audioelements: # from http://effbot.org/zone/element-sort.htm key = elem.get("id") data.append((key, elem)) data.sort() N_audioelements = len(audioelements) # number of audio elements for this page increment = 0 # increased for every new audioelement # get axes handle fig = plt.figure(figsize=(fig_width, fig_height)) ax = fig.add_subplot(111) # for page [page_name], print comments related to fragment [id] #for tuple in data: # audioelement = tuple[1] for tuple in data: audioelement = tuple[1] if audioelement is not None: # Check it exists audio_id = str(audioelement.get('id')) # break if no initial position or move events registered initial_position_temp = audioelement.find("./metric/metricresult/[@name='elementInitialPosition']") if initial_position_temp is None: print "Skipping "+page_name+" from "+subject_id+": does not have initial positions specified." break # get move events, initial and eventual position initial_position = float(initial_position_temp.text) move_events = audioelement.findall("./metric/metricresult/[@name='elementTrackerFull']/timepos") final_position = float(audioelement.find("./value").text) # get listen events start_times_global = [] stop_times_global = [] listen_events = audioelement.findall("./metric/metricresult/[@name='elementListenTracker']/event") for event in listen_events: # get testtime: start and stop start_times_global.append(float(event.find('testtime').get('start'))-time_offset) stop_times_global.append(float(event.find('testtime').get('stop'))-time_offset) # display fragment name at start plt.text(0,initial_position+0.02,audio_id,color=colormap[increment%len(colormap)]) #,rotation=45 # previous position and time previous_position = initial_position previous_time = 0 # assume not playing at start currently_playing = False # keep track of whether fragment is playing during move event # draw all segments except final one for event in move_events: # mark this plot as not empty plot_empty = False # get time and final position of move event new_time = float(event.find("./time").text)-time_offset new_position = float(event.find("./position").text) # get play/stop events since last move until current move event stop_times = [] start_times = [] # is there a play and/or stop event between previous_time and new_time? for time in start_times_global: if time>previous_time and time<new_time: start_times.append(time) for time in stop_times_global: if time>previous_time and time<new_time: stop_times.append(time) # if no play/stop events between move events, find out whether playing segment_start = previous_time # first segment starts at previous move event # draw segments (horizontal line) while len(start_times)+len(stop_times)>0: # while still play/stop events left if len(stop_times)<1: # upcoming event is 'play' # draw non-playing segment from segment_start to 'play' currently_playing = False segment_stop = start_times.pop(0) # remove and return first item elif len(start_times)<1: # upcoming event is 'stop' # draw playing segment (red) from segment_start to 'stop' currently_playing = True segment_stop = stop_times.pop(0) # remove and return first item elif start_times[0]<stop_times[0]: # upcoming event is 'play' # draw non-playing segment from segment_start to 'play' currently_playing = False segment_stop = start_times.pop(0) # remove and return first item else: # stop_times[0]<start_times[0]: upcoming event is 'stop' # draw playing segment (red) from segment_start to 'stop' currently_playing = True segment_stop = stop_times.pop(0) # remove and return first item # draw segment plt.plot([segment_start, segment_stop], # x-values [previous_position, previous_position], # y-values color='r' if currently_playing else colormap[increment%len(colormap)], linewidth=3 ) segment_start = segment_stop # move on to next segment currently_playing = not currently_playing # toggle to draw final segment correctly # draw final segment (horizontal line) from last 'segment_start' to current move event time plt.plot([segment_start, new_time], # x-values [previous_position, previous_position], # y-values # color depends on playing during move event or not: color='r' if currently_playing else colormap[increment%len(colormap)], linewidth=3 ) # vertical line from previous to current position plt.plot([new_time, new_time], # x-values [previous_position, new_position], # y-values # color depends on playing during move event or not: color='r' if currently_playing else colormap[increment%len(colormap)], linewidth=3 ) # update previous_position value previous_position = new_position previous_time = new_time # draw final horizontal segment (or only segment if audioelement not moved) # horizontal line from previous time to end of audioholder # get play/stop events since last move until current move event stop_times = [] start_times = [] # is there a play and/or stop event between previous_time and new_time? for time in start_times_global: if time>previous_time and time<audioholder_time-time_offset: start_times.append(time) for time in stop_times_global: if time>previous_time and time<audioholder_time-time_offset: stop_times.append(time) # if no play/stop events between move events, find out whether playing segment_start = previous_time # first segment starts at previous move event # draw segments (horizontal line) while len(start_times)+len(stop_times)>0: # while still play/stop events left # mark this plot as not empty plot_empty = False if len(stop_times)<1: # upcoming event is 'play' # draw non-playing segment from segment_start to 'play' currently_playing = False segment_stop = start_times.pop(0) # remove and return first item elif len(start_times)<1: # upcoming event is 'stop' # draw playing segment (red) from segment_start to 'stop' currently_playing = True segment_stop = stop_times.pop(0) # remove and return first item elif start_times[0]<stop_times[0]: # upcoming event is 'play' # draw non-playing segment from segment_start to 'play' currently_playing = False segment_stop = start_times.pop(0) # remove and return first item else: # stop_times[0]<start_times[0]: upcoming event is 'stop' # draw playing segment (red) from segment_start to 'stop' currently_playing = True segment_stop = stop_times.pop(0) # remove and return first item # draw segment plt.plot([segment_start, segment_stop], # x-values [previous_position, previous_position], # y-values color='r' if currently_playing else colormap[increment%len(colormap)], linewidth=3 ) segment_start = segment_stop # move on to next segment currently_playing = not currently_playing # toggle to draw final segment correctly # draw final segment (horizontal line) from last 'segment_start' to current move event time plt.plot([segment_start, audioholder_time-time_offset], # x-values [previous_position, previous_position], # y-values # color depends on playing during move event or not: color='r' if currently_playing else colormap[increment%len(colormap)], linewidth=3 ) # plt.plot([previous_time, audioholder_time-time_offset], # x-values # [previous_position, previous_position], # y-values # color=colormap[increment%len(colormap)], # linewidth=3 # ) # display fragment name at end plt.text(audioholder_time-time_offset,previous_position,\ audio_id,color=colormap[increment%len(colormap)]) #,rotation=45 increment+=1 # to next audioelement last_audioholder_duration = audioholder_time-time_offset time_offset = audioholder_time if not plot_empty: # if plot is not empty, show or store # set plot parameters plt.title('Timeline ' + file + ": "+page_name) plt.xlabel('Time [seconds]') plt.xlim(0, last_audioholder_duration) plt.ylabel('Rating') # default plt.ylim(0, 1) # rating between 0 and 1 #y-ticks: labels on rating axis label_positions = [] label_text = [] scale_tags = root.findall("./BrowserEvalProjectDocument/audioHolder/interface/scale") scale_title = root.find("./BrowserEvalProjectDocument/audioHolder/interface/title") for tag in scale_tags: label_positions.append(float(tag.get('position'))/100) # on a scale from 0 to 100 label_text.append(tag.text) if len(label_positions) > 0: # if any labels available plt.yticks(label_positions, label_text) # show rating axis labels # set label Y-axis if scale_title is not None: plt.ylabel(scale_title.text) #plt.show() # uncomment to show plot; comment when just saving #exit() plt.savefig(timeline_folder+subject_id+"-"+page_name+".pdf", bbox_inches='tight') plt.close()