annotate scripts/timeline_view_movement.py @ 1814:a6d3b7b64943

Bug fixes in scripts: display plays in last timeline segment of each fragment (post last move); call sub-processes of generate_report.py in same folder (pass on argument); indentation in LaTeX file.

#!/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()