def topic_ordering(request, dataset, analysis, order_by):
request.session['topic-sort'] = order_by
request.session['topic-page'] = 1
name_scheme_id = request.session['current_name_scheme_id']
ret_val = dict()
topics = Topic.objects.filter(analysis__name=analysis,
analysis__dataset__name=dataset)
topics, _, num_pages = clean_topics_from_session(topics, request.session)
ret_val['topics'] = [vars(AjaxTopic(topic, get_topic_name(topic,
name_scheme_id))) for topic in topics]
ret_val['num_pages'] = num_pages
ret_val['page'] = 1
return HttpResponse(simplejson.dumps(ret_val))
def filtered_topics_response(request, dataset, analysis):
name_scheme_id = request.session['current_name_scheme_id']
analysis = Analysis.objects.get(dataset__name=dataset, name=analysis)
topics = analysis.topic_set
request.session['topic-page'] = 1
topics, filter_form, num_pages = clean_topics_from_session(topics,
request.session)
ret_val = dict()
ret_val['filter_form'] = filter_form.__unicode__()
ret_val['topics'] = [vars(AjaxTopic(topic, get_topic_name(topic,
name_scheme_id))) for topic in topics]
ret_val['num_pages'] = num_pages
ret_val['page'] = request.session.get('topic-page', 1)
return HttpResponse(simplejson.dumps(ret_val))
def get_topic_page(request, dataset, analysis, number):
request.session['topic-page'] = int(number)
name_scheme_id = request.session['current_name_scheme_id']
ret_val = dict()
topics = request.session.get('topics-list', None)
if not topics:
topics = Topic.objects.filter(analysis__name=analysis,
analysis__dataset__name=dataset)
num_per_page = request.session.get('topics-per-page', 20)
page = int(number)
topics, num_pages, _ = paginate_list(topics, page, num_per_page)
ret_val['topics'] = [vars(AjaxTopic(topic, get_topic_name(topic, name_scheme_id))) for topic in topics]
ret_val['num_pages'] = num_pages
ret_val['page'] = page
return HttpResponse(simplejson.dumps(ret_val))
def similar_topics(request, dataset, analysis, topic, measure):
name_scheme_id = request.session['current_name_scheme_id']
ret_val = dict()
request.session['topic-similarity-measure'] = measure
analysis = Analysis.objects.get(dataset__name=dataset, name=analysis)
topic = analysis.topic_set.get(number=topic)
measure = analysis.pairwisetopicmetric_set.get(name=measure)
similar_topics = topic.pairwisetopicmetricvalue_originating.\
select_related().filter(metric=measure).order_by('-value')[1:11]
topics = []
values = []
for t in similar_topics:
values += [t.value]
similar_topic = t.topic2
topic_name = get_topic_name(similar_topic, name_scheme_id)
topics += [vars(AjaxTopic(similar_topic, topic_name))]
ret_val['values'] = values
ret_val['topics'] = topics
return HttpResponse(simplejson.dumps(ret_val))
def similar_topic_list_widget(request, topic):
w = Widget("Most Similar Topics", "topics/similar_topics")
similarity_measures = topic.analysis.pairwisetopicmetric_set.all()
if similarity_measures:
name_scheme_id = request.session['current_name_scheme_id']
measure = request.session.get('topic-similarity-measure', None)
if measure:
measure = similarity_measures.get(name=measure)
else:
measure = similarity_measures[0]
similar_topics = topic.pairwisetopicmetricvalue_originating.\
select_related().filter(metric=measure).order_by('-value')
entries = []
for t in similar_topics[1:11]:
topic = t.topic2
number = topic.number
name = str(number) + ': ' + get_topic_name(topic, name_scheme_id)
entries.append(TopicSimilarityEntry(name, number, t.value))
w['similar_topics'] = entries
w['similarity_measures'] = similarity_measures
w['similarity_measure'] = measure
return w
def get_context_data(self, request, **kwargs):
context = super(TopicView, self).get_context_data(request, **kwargs)
dataset = context['dataset']
analysis = context['analysis']
topic = kwargs['topic'] if 'topic' in kwargs else None
extra_filters = kwargs['extra_filters'] if 'extra_filters' in kwargs else []
#TODO: clean up this context by moving widget-specific entries into widget contexts
context['highlight'] = 'topics_tab'
context['tab'] = 'topic'
context['extra_widgets'] = []
context['sort_form'] = SortTopicForm(analysis)
sort_by = request.session.get('topic-sort', 'name')
context['sort_form'].fields['sort'].initial = sort_by
# Get the name scheme stuff ready
name_schemes = TopicNameScheme.objects.filter(
analysis=analysis).order_by('name')
context['nameschemes'] = name_schemes
if 'current_name_scheme_id' not in request.session:
request.session['current_name_scheme_id'] = name_schemes[0].id
current_name_scheme_id = request.session['current_name_scheme_id']
current_name_scheme = TopicNameScheme.objects.get(id=current_name_scheme_id)
context['currentnamescheme'] = current_name_scheme
# Filter, sort, and paginate the topics
if topic:
topic = get_object_or_404(Topic, number=topic, analysis=analysis)
topics = analysis.topic_set
topics, filter_form, num_pages = clean_topics_from_session(topics,
request.session, extra_filters, topic)
page_num = request.session.get('topic-page', 1)
context['topics'] = topics
context['filter'] = filter_form
context['num_pages'] = num_pages
context['page_num'] = page_num
if not topic:
topic = context['topics'][0]
context['topic'] = topic
context['topic_url'] = context['topics_url'] + '/' + str(topic.number)
context['metrics'] = topic.topicmetricvalue_set.all()
topic_name = get_topic_name(topic, current_name_scheme.id)
context['topic_name'] = topic_name
# Build the bread crumb
context['breadcrumb'] = BreadCrumb().item(dataset).item(analysis).topic(topic.number, topic_name)
context['view_description'] = 'Topic "'+topic_name + '"'
context['tabs'] = tabs(request, topic, context['topic_url'], \
context['IMAGES'], context['currentnamescheme'].name)
return context
