def get_context_data(self, request, **kwargs):
context = super(AttributeWordView, self).get_context_data(request, **kwargs)
dataset = context['dataset']
analysis = context['analysis']
attribute = context['attribute']
value = context['value']
word = Word.objects.get(dataset=dataset, type=kwargs['word'])
documents = word.document_set.filter(attribute=attribute,
attributevaluedocument__value=value)
words = []
for document in documents:
w = WordSummary(word.type)
set_word_context(w, document, analysis)
words.append(w)
w.url = '%s/%s/values/%s/documents/%d?kwic=%s' \
% (context['attributes_url'], attribute.name, value.value,
document.id, word.type)
w.doc_name = document.filename
w.doc_id = document.id
context['words'] = words
context['breadcrumb'].word(word)
context['attribute_post_link'] = '/words/%s' % word.type
return context
def get_context_data(self, request, **kwargs):
dataset_name = kwargs['dataset']
analysis_name = kwargs['analysis']
word = Word.objects.get(dataset__name=dataset_name, type=kwargs['word'])
filter = TopicFilterByWord(Analysis.objects.get(dataset__name=dataset_name,
name=analysis_name), 0)
filter.current_word = word
context = super(TopicWordView, self).get_context_data(request, extra_filters=[filter], **kwargs)
analysis = context['analysis']
topic = context['topic']
context['word'] = word
documents = word.documenttopicword_set.filter(topic=topic).order_by(
'document__filename')
docs = []
for dtw in documents:
d = dtw.document
w = WordSummary(word.type)
set_word_context(w, d, analysis, topic.number)
docs.append(w)
w.url = "%s/%d/documents/%d?kwic=%s" % (context['topics_url'],
topic.number, d.id, word.type)
w.doc_name = d.filename
w.doc_id = d.id
context['documents'] = docs
context['breadcrumb'].word(word)
context['topic_post_link'] = '/words/%s' % word.type
word_url = '%s/%d/words/' % (context['topics_url'], topic.number)
context['tabs'] = [self._topic_word_tab(analysis, word, word_url, context['IMAGES'])]
return context
def word_in_context(request, dataset, analysis, word, topic=None):
analysis = Analysis.objects.get(name=analysis, dataset__name=dataset)
w = Word.objects.get(dataset__name=dataset, type=word)
word_context = WordSummary(word)
if topic is None:
docset = w.documentword_set.all()
else:
topic = Topic.objects.get(analysis=analysis, number=topic)
docset = topic.documenttopicword_set.filter(word=w)
num_docs = len(docset)
d = docset[random.randint(0, num_docs - 1)]
word_context.left_context, word_context.word, word_context.right_context \
= d.document.get_context_for_word(word, analysis, topic.number if topic else None)
word_context.doc_name = d.document.filename
word_context.doc_id = d.document.id
return HttpResponse(anyjson.dumps(vars(word_context)))