b@246: #!/usr/bin/python
b@246: 
b@208: import xml.etree.ElementTree as ET
b@264: import os # list files in directory
b@264: import sys # command line arguments
b@264: import matplotlib.pyplot as plt # plots
b@264: 
b@264: # COMMAND LINE ARGUMENTS
b@264: 
b@264: assert len(sys.argv)<3, "timeline_view takes at most 1 command line argument\n"+\
b@264:                         "Use: python timeline_view.py [timeline_folder_location]"
b@264: 
b@264: # XML results files location
b@264: if len(sys.argv) == 1:
b@264:     folder_name = "../saves"    # Looks in 'saves/' folder from 'scripts/' folder
b@264:     print "Use: python timeline_view.py [timeline_folder_location]"
b@264:     print "Using default path: " + folder_name
b@264: elif len(sys.argv) == 2:
b@264:     folder_name = sys.argv[1]   # First command line argument is folder
b@208: 
b@246: # CONFIGURATION 
b@208: 
b@246: # Folder where to store timelines
b@246: timeline_folder = folder_name + '/timelines/'    # Stores in 'saves/timelines/'
b@246: 
b@246: # Font settings
b@246: font = {'weight' : 'bold',
b@246:         'size'   : 16}
b@246: plt.rc('font', **font)
b@246: 
b@246: # Colormap for to cycle through
b@246: colormap = ['b', 'r', 'g', 'c', 'm', 'y', 'k']
b@246: 
b@283: # x-axis shows time per audioholder, not total test time
b@283: show_audioholder_time = True
b@283: 
b@246: 
b@246: # CODE
b@208: 
b@208: # create timeline_folder if not yet created
b@208: if not os.path.exists(timeline_folder):
b@208:     os.makedirs(timeline_folder)
b@208: 
b@208: # get every XML file in folder
b@247: for file in os.listdir(folder_name):
b@208:     if file.endswith(".xml"):
b@246:         tree = ET.parse(folder_name + '/' + file)
b@208:         root = tree.getroot()
b@208:         subject_id = file[:-4] # drop '.xml'
b@208:         
b@283:         time_offset = 0 # test starts at zero
b@283:         
b@208:         # ONE TIMELINE PER PAGE - make new plot per page
b@208: 
b@208:         # get list of all page names
b@208:         for audioholder in root.findall("./audioholder"):   # iterate over pages
b@208:             page_name = audioholder.get('id')               # get page name
b@208:             
b@208:             if page_name is None: # ignore 'empty' audio_holders
b@208:                 break
b@208: 
b@208:             # SORT AUDIO ELEMENTS ALPHABETICALLY
b@246:             audioelements = audioholder.findall("./audioelement")
b@208:             
b@208:             data = []
b@208:             for elem in audioelements: # from http://effbot.org/zone/element-sort.htm
b@208:                 key = elem.get("id")
b@208:                 data.append((key, elem))
b@208:             data.sort()
b@208:             
b@208:             N_audioelements = len(audioelements) # number of audio elements for this page
b@208:             increment = 0 # increased for every new audioelement
b@208:             audioelements_names = [] # store names of audioelements
b@208:             
b@208:             # for page [page_name], print comments related to fragment [id]
b@208:             for tuple in data:
b@208:             	audioelement = tuple[1]
b@208:                 if audioelement is not None: # Check it exists
b@208:                     audio_id = str(audioelement.get('id'))
b@208:                     audioelements_names.append(audio_id)
b@208:                     
b@208:                     # for this audioelement, loop over all listen events
b@246:                     listen_events = audioelement.findall("./metric/metricresult/[@name='elementListenTracker']/event")
b@208:                     for event in listen_events:
b@208:                         # get testtime: start and stop
b@283:                         start_time = float(event.find('testtime').get('start'))
b@283:                         stop_time  = float(event.find('testtime').get('stop'))
b@208:                         # event lines:
b@283:                         plt.plot([start_time-time_offset, start_time-time_offset], # x-values
b@208:                             [0, N_audioelements+1], # y-values
b@208:                             color='k'
b@208:                             )
b@283:                         plt.plot([stop_time-time_offset, stop_time-time_offset], # x-values
b@208:                             [0, N_audioelements+1], # y-values
b@208:                             color='k'
b@208:                             )
b@208:                         # plot time: 
b@283:                         plt.plot([start_time-time_offset, stop_time-time_offset], # x-values
b@208:                             [N_audioelements-increment, N_audioelements-increment], # y-values
b@208:                             color=colormap[increment%len(colormap)],
b@208:                             linewidth=6
b@208:                             )
b@208:                         
b@208:                 increment+=1
b@283:                 
b@283:             # subtract total audioholder length from subsequent audioholder event times
b@283:             audioholder_time = audioholder.find("./metric/metricresult/[@id='testTime']")
b@283:             if audioholder_time is not None and show_audioholder_time: 
b@283:                 time_offset = float(audioholder_time.text)
b@208:                                            
b@208:             #TODO: if 'nonsensical' or unknown: dashed line until next event
b@208:             #TODO: Vertical lines for fragment looping point
b@208:             
b@208:             plt.title('Timeline ' + file) #TODO add song too
b@208:             plt.xlabel('Time [seconds]')
b@208:             plt.ylabel('Fragment')
b@208:             plt.ylim(0, N_audioelements+1)
b@208:             
b@208:             #y-ticks: fragment IDs, top to bottom
b@208:             plt.yticks(range(N_audioelements, 0, -1), audioelements_names) # show fragment names
b@208: 
b@208: 
b@208:             #plt.show() # uncomment to show plot; comment when just saving
b@208:             #exit()
b@208:             
b@208:             plt.savefig(timeline_folder+subject_id+"-"+page_name+".png")
b@208:             plt.close()