def itu_item(request, item_id):
"""Display an absolute record of an item."""
message = ''
error = ''
tags = Tag.objects.all()
item = ItuItem.objects.get(id=int(item_id))
chartrecords = ItuItemChartScan.objects.filter(ituitem=item)
metrics_to_plot = []
traffic_to_plot = []
categories_to_plot = []
if chartrecords:
#Get or create a suitable Metric
metrics = Metric.objects.filter(description=item.latest.name)
if not metrics:
random_colour = '#' + str(random.randint(222222, 999999))
top_items_position = Metric(description=item.latest.name, linecolor=random_colour, fillcolor='#FFFFFF',
mouseover=True, defaultvisibility=True, source='itu-item-chart', ituitem=item)
top_items_position.save()
metrics_to_plot.append(top_items_position)
else:
metrics_to_plot.append(metrics[0])
#Add the first chartrecord of the day to traffic_to_plot
dates = []
for chartrecord in chartrecords:
if chartrecord.date.date() not in dates:
dates.append(chartrecord.date.date())
for date in dates:
chartrecords_day = []
for chartrecord in chartrecords:
if chartrecord.date.date() == date:
chartrecords_day.append(chartrecord)
traffic_to_plot.append(
Traffic(date=date, count=(-1 * chartrecords_day[0].position), metric=metrics_to_plot[0]))
return render_to_response('monitors/itu_item.html',
{'error': error, 'message': message, 'item': item, 'chartrecords': chartrecords,
'comments_to_plot': [],
'metrics_to_plot': metrics_to_plot,
'metric_textfiles': create_metric_textfiles(traffic_to_plot, metrics_to_plot),
'categories_to_plot': categories_to_plot,
'events': [],
'chart': True, 'tags': tags}, context_instance=RequestContext(request))
def itu_institution(request, institution_id):
"""Display an institution."""
message = ''
error = ''
tags = Tag.objects.all()
institution = ItuInstitution.objects.get(id=int(institution_id))
try:
latest_tc_scanlog = ItuScanLog.objects.filter(mode=2).order_by('-time')[0]
latest_ti_scanlog = ItuScanLog.objects.filter(mode=3).order_by('-time')[0]
except:
error += 'Couldn\'t find the latest top collections/items scanlogs. Perhaps you need to run scan_itunes first?'
return render_to_response('monitors/itu_home.html',
{'error': error, 'message': message, 'institution': institution}, context_instance=RequestContext(request))
comments = ItuComment.objects.filter(ituinstitution=institution).order_by('-date')
collections = ItuCollection.objects.filter(institution=institution).order_by('-latest__last_modified')
current_collection_chartscans = ItuCollectionChartScan.objects.filter(itucollection__institution=institution,scanlog=latest_tc_scanlog).order_by('position')
current_item_chartscans = ItuItemChartScan.objects.filter(ituitem__institution=institution,scanlog=latest_ti_scanlog)
if current_collection_chartscans.count() > 5:
top_five_tc_scanlogs = current_collection_chartscans[0:5]
else:
top_five_tc_scanlogs = current_collection_chartscans
if collections.filter(latest__last_modified__isnull=False).count() > 5:
recently_updated_collections = collections.filter(latest__last_modified__isnull=False)[0:5]
else:
recently_updated_collections = collections.filter(latest__last_modified__isnull=False)
try:
audio_items = ItuItem.objects.filter(Q(institution=institution) & Q(latest__missing=None) & (
Q(latest__file_extension='mp3') | Q(latest__file_extension='m4a') | Q(latest__file_extension='aac') | Q(
latest__file_extension='aif') | Q(latest__file_extension='aiff') | Q(latest__file_extension='aifc') | Q(
latest__file_extension='wav')))
audio_duration = timedelta(
microseconds=int(audio_items.aggregate(Sum('latest__duration'))['latest__duration__sum']) * 1000)
audio_number = audio_items.count()
except:
audio_duration = timedelta(microseconds=0)
audio_number = 0
message += 'WARNING: Couldn\'t calculate the total audio duration/number properly. '
try:
video_items = ItuItem.objects.filter(Q(institution=institution) & Q(latest__missing=None) & (
Q(latest__file_extension='mp4') | Q(latest__file_extension='m4v') | Q(latest__file_extension='mov')))
video_duration = timedelta(
microseconds=int(video_items.aggregate(Sum('latest__duration'))['latest__duration__sum']) * 1000)
video_number = video_items.count()
except:
video_duration = timedelta(microseconds=0)
video_number = 0
message += 'WARNING: Couldn\'t calculate the total video duration/number properly. '
try:
total_duration = timedelta(microseconds=int(ItuItem.objects.filter(Q(institution=institution) & Q(latest__missing=None)).aggregate(Sum('latest__duration'))['latest__duration__sum']) * 1000)
except:
total_duration = timedelta(microseconds=0)
message += 'WARNING: Couldn\'t calculate total duration properly. '
unknown_duration = total_duration - (audio_duration + video_duration)
try:
total_number = ItuItem.objects.filter(latest__missing=None, latest__institution=institution).count()
except:
total_number = 0
message += 'WARNING: Couldn\'t calculate the total number of items properly. '
other_number = total_number - (audio_number + video_number)
collections_number = collections.count()
collections_containing_movies_number = collections.filter(latest__contains_movies=True).count()
collections_not_containing_movies_number = collections_number - collections_containing_movies_number
metrics_to_plot = []
traffic_to_plot = []
categories_to_plot = []
comments_to_plot = []
try:
top_collections_count = Metric.objects.get(description='# of collections in the top 200')
metrics_to_plot.append(top_collections_count)
except:
random_colour = '#' + str(random.randint(222222, 999999))
top_collections_count = Metric(description='# of collections in the top 200', linecolor=random_colour,
fillcolor='#FFFFFF', mouseover=True, defaultvisibility=True, source='itu-#tc', ituinstitution=institution)
top_collections_count.save()
metrics_to_plot.append(top_collections_count)
try:
top_items_count = Metric.objects.get(description='# of items in the top 200')
metrics_to_plot.append(top_items_count)
except:
random_colour = '#' + str(random.randint(222222, 999999))
top_items_count = Metric(description='# of items in the top 200', linecolor=random_colour,
fillcolor='#FFFFFF', mouseover=True, defaultvisibility=True, source='itu-#ti', ituinstitution=institution)
top_items_count.save()
metrics_to_plot.append(top_items_count)
dates_processed = []
for tc_scan in ItuScanLog.objects.filter(mode=2).order_by('time'):
date = tc_scan.time.date()
if date not in dates_processed:
dates_processed.append(date)
tc_count = ItuCollectionChartScan.objects.filter(scanlog=tc_scan,
itucollection__institution=institution).count()
traffic_to_plot.append(Traffic(date=date, count=tc_count, metric=top_collections_count))
dates_processed = []
for ti_scan in ItuScanLog.objects.filter(mode=3).order_by('time'):
date = ti_scan.time.date()
if date not in dates_processed:
dates_processed.append(date)
ti_count = ItuItemChartScan.objects.filter(scanlog=ti_scan, ituitem__institution=institution).count()
traffic_to_plot.append(Traffic(date=date, count=ti_count, metric=top_items_count))
if comments:
from_itunes_u = Category.objects.get(description='From iTunes U')
from_itunes_u.defaultvisibility = False
categories_to_plot.append(from_itunes_u)
for comment in comments:
comment_to_plot = Comment(date=comment.date,
source=(comment.itucollectionhistorical.name + ' - comment by ' + comment.source), detail=comment.detail
, user_email='*****@*****.**', category=from_itunes_u)
comments_to_plot.append(comment_to_plot)
return render_to_response('monitors/itu_institution.html',
{'error': error, 'message': message, 'institution': institution, 'comments': comments,
'total_duration': total_duration, 'audio_duration': audio_duration, 'video_duration': video_duration, 'unknown_duration': unknown_duration,
'audio_number': audio_number, 'video_number': video_number, 'total_number': total_number, 'other_number': other_number,
'collections_number': collections_number,
'collections_containing_movies_number': collections_containing_movies_number,
'collections_not_containing_movies_number': collections_not_containing_movies_number,
'collections': collections, 'current_collection_chartscans': current_collection_chartscans, 'current_item_chartscans': current_item_chartscans, 'top_five_tc_scanlogs': top_five_tc_scanlogs, 'recently_updated_collections': recently_updated_collections,
'comments_to_plot': comments_to_plot,
'metrics_to_plot': metrics_to_plot,
'metric_textfiles': create_metric_textfiles(traffic_to_plot, metrics_to_plot),
'categories_to_plot': categories_to_plot,
'events': [],
'chart': False,
'tags': tags}, context_instance=RequestContext(request))
def itu_collection(request, collection_id):
"""Display an absolute record of a collection."""
message = ''
error = ''
tags = Tag.objects.all()
collection = ItuCollection.objects.get(id=int(collection_id))
chartrecords = ItuCollectionChartScan.objects.filter(itucollection=collection).order_by('date')
items = ItuItem.objects.filter(latest__series__itucollection=collection, latest__missing=None)
try:
total_duration = timedelta(
microseconds=int(items.aggregate(Sum('latest__duration'))['latest__duration__sum']) * 1000)
except:
total_duration = timedelta(microseconds=0)
message += 'WARNING: Couldn\'t calculate the total duration properly.'
comments = ItuComment.objects.filter(itucollectionhistorical__itucollection=collection)
ratings = ItuRating.objects.filter(itucollectionhistorical=collection.latest)
average_rating = collection.latest.average_rating()
metrics_to_plot = []
traffic_to_plot = []
categories_to_plot = []
comments_to_plot = []
if chartrecords:
#Get or create a suitable Metric
try:
top_collections_position = Metric.objects.get(description=collection.latest.name)
metrics_to_plot.append(top_collections_position)
except:
random_colour = '#' + str(random.randint(222222, 999999))
top_collections_position = Metric(description=collection.latest.name, linecolor=random_colour,
fillcolor='#FFFFFF', mouseover=True, defaultvisibility=True, source='itu-collection-chart', itucollection=collection)
top_collections_position.save()
metrics_to_plot.append(top_collections_position)
#Add the first chartrecord of the day to traffic_to_plot
dates = []
for chartrecord in chartrecords:
if chartrecord.date.date() not in dates:
dates.append(chartrecord.date.date())
for date in dates:
chartrecords_day = []
for chartrecord in chartrecords:
if chartrecord.date.date() == date:
chartrecords_day.append(chartrecord)
traffic_to_plot.append(
Traffic(date=date, count=(-1 * chartrecords_day[0].position), metric=top_collections_position))
if comments:
from_itunes_u = Category.objects.get(description='From iTunes U')
from_itunes_u.defaultvisibility = False
categories_to_plot.append(from_itunes_u)
for comment in comments:
comment_to_plot = Comment(date=comment.date,
source=(comment.itucollectionhistorical.name + ' - comment by ' + comment.source),
detail=comment.detail, user_email='*****@*****.**', category=from_itunes_u)
comments_to_plot.append(comment_to_plot)
return render_to_response('monitors/itu_collection.html',
{'error': error, 'message': message, 'collection': collection, 'chartrecords': chartrecords,
'comments': comments, 'items': items, 'total_duration': total_duration, 'ratings': ratings,
'average_rating': average_rating,
'comments_to_plot': comments_to_plot,
'metrics_to_plot': metrics_to_plot,
'metric_textfiles': create_metric_textfiles(traffic_to_plot, metrics_to_plot),
'categories_to_plot': categories_to_plot,
'events': [],
'chart': True,
'tags': tags}, context_instance=RequestContext(request), )
