comparison scripts/timeline_view.py @ 1453:04e8a9c07c7e

Updating test create using questions

+#!/usr/bin/python
+
+import xml.etree.ElementTree as ET
+import os
+import matplotlib.pyplot as plt
+
+# CONFIGURATION 
+
+# XML results files location (modify as needed):
+folder_name = "../saves"    # Looks in 'saves/' folder from 'scripts/' folder
+
+# Folder where to store timelines
+timeline_folder = folder_name + '/timelines/'    # Stores in 'saves/timelines/'
+
+# Font settings
+font = {'weight' : 'bold',
+        'size'   : 16}
+plt.rc('font', **font)
+
+# Colormap for to cycle through
+colormap = ['b', 'r', 'g', 'c', 'm', 'y', 'k']
+
+
+# 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'
+        
+        # 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
+            
+            if page_name is None: # ignore 'empty' audio_holders
+                break
+
+            # SORT AUDIO ELEMENTS ALPHABETICALLY
+            audioelements = audioholder.findall("./audioelement")
+            
+            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
+            audioelements_names = [] # store names of audioelements
+            
+            # for page [page_name], print comments related to fragment [id]
+            for tuple in data:
+            	audioelement = tuple[1]
+                if audioelement is not None: # Check it exists
+                    audio_id = str(audioelement.get('id'))
+                    audioelements_names.append(audio_id)
+                    
+                    # for this audioelement, loop over all listen events
+                    listen_events = audioelement.findall("./metric/metricresult/[@name='elementListenTracker']/event")
+                    for event in listen_events:
+                        # get testtime: start and stop
+                        start_time = event.find('testtime').get('start')
+                        stop_time  = event.find('testtime').get('stop')
+                        # event lines:
+                        plt.plot([start_time, start_time], # x-values
+                            [0, N_audioelements+1], # y-values
+                            color='k'
+                            )
+                        plt.plot([stop_time, stop_time], # x-values
+                            [0, N_audioelements+1], # y-values
+                            color='k'
+                            )
+                        # plot time: 
+                        plt.plot([start_time, stop_time], # x-values
+                            [N_audioelements-increment, N_audioelements-increment], # y-values
+                            color=colormap[increment%len(colormap)],
+                            linewidth=6
+                            )
+                        
+                increment+=1
+                                           
+            #TODO: if 'nonsensical' or unknown: dashed line until next event
+            #TODO: Vertical lines for fragment looping point
+            
+            plt.title('Timeline ' + file) #TODO add song too
+            plt.xlabel('Time [seconds]')
+            plt.ylabel('Fragment')
+            plt.ylim(0, N_audioelements+1)
+            
+            #y-ticks: fragment IDs, top to bottom
+            plt.yticks(range(N_audioelements, 0, -1), audioelements_names) # show fragment names
+
+
+            #plt.show() # uncomment to show plot; comment when just saving
+            #exit()
+            
+            plt.savefig(timeline_folder+subject_id+"-"+page_name+".png")
+            plt.close()