def clean_docs_from_session(documents, session, doc=None):
# This method takes an original list of documents, then filters, sorts, and
# paginates them from the given session object.
filters = session.get('document-filters', [])
documents, filter_form = filter_documents(documents, filters)
sort_by = session.get('document-sort', 'filename')
documents = sort_documents(documents, sort_by)
#session['documents-list'] = documents
page_num = session.get('document-page', 1)
per_page = session.get('documents-per-page', 20)
docs, num_pages, page = paginate_list(documents, page_num, per_page, doc)
if page:
session['document-page'] = page
return docs, filter_form, num_pages
def get_word_page(request, dataset, analysis, number):
request.session['word-page'] = int(number)
ret_val = dict()
words = get_word_list(request, dataset)
num_per_page = request.session.get('words-per-page', 30)
page = int(number)
words, num_pages, _ = paginate_list(words, page, num_per_page)
ret_val['words'] = [vars(AjaxWord(word.type)) for word in words]
ret_val['num_pages'] = num_pages
ret_val['page'] = page
return HttpResponse(anyjson.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 get_attribute_page(request, dataset, analysis, attribute, number):
request.session['attribute-page'] = int(number)
ret_val = dict()
values = request.session.get('values-list', None)
if not values:
attribute = Attribute.objects.get(dataset__name=dataset,
name=attribute)
values = attribute.value_set.all()
num_per_page = request.session.get('attributes-per-page', 20)
page = int(number)
values, num_pages, _ = paginate_list(values, page, num_per_page)
ret_val['values'] = [vars(AjaxValue(val.value)) for val in values]
ret_val['num_pages'] = num_pages
ret_val['page'] = page
return HttpResponse(anyjson.dumps(ret_val))
def get_context_data(self, request, **kwargs):
context = super(AttributeView, self).get_context_data(request, **kwargs)
dataset = context['dataset']
analysis = context['analysis']
attribute = kwargs['attribute']
try:
value = kwargs['value']
except KeyError:
value = ''
context['highlight'] = 'attributes_tab'
context['tab'] = 'attribute'
context['attributes'] = dataset.attribute_set.all()
if attribute:
attribute = get_object_or_404(Attribute, dataset=dataset,
name=attribute)
prev_attribute = request.session.get('attribute-name', '')
if prev_attribute != attribute.name:
request.session['attribute-name'] = attribute.name
request.session['attribute-page'] = 1
else:
request.session['attribute-page'] = 1
attribute = context['attributes'][0]
context['attribute'] = attribute
values = attribute.value_set.all()
page_num = request.session.get('attribute-page', 1)
num_per_page = request.session.get('attributes-per-page', 20)
values, num_pages, _ = paginate_list(values, page_num, num_per_page)
context['num_pages'] = num_pages
context['page_num'] = page_num
context['values'] = [v.value for v in values]
if value:
value = get_object_or_404(Value, attribute=attribute, value=value)
else:
value = values[0]
context['value'] = value
context['view_description'] = "Attribute '{0}'".format(attribute.name)
context['tabs'] = [attribute_info_tab(analysis, attribute, value, context['analysis_url'], context['attributes_url'])]
context['breadcrumb'] = \
BreadCrumb().item(dataset).item(analysis).item(attribute).item(value)
return context
def clean_topics_from_session(topics, session, extra_filters=[], topic=None):
# This method takes an original list of topics, then filters, sorts, and
# paginates them from the given session object. If topic is given, we find
# the page for that topic
filters = session.get('topic-filters', [])
topics, filter_form = filter_topics(topics, filters)
for filter in extra_filters:
topics = filter.apply(topics)
sort_by = session.get('topic-sort', 'name')
topics = sort_topics(topics, sort_by, session)
session['topics-list'] = topics
page_num = session.get('topic-page', 1)
per_page = session.get('topics-per-page', 20)
topics, num_pages, page = paginate_list(topics, page_num, per_page, topic)
if page:
session['topic-page'] = page
return topics, filter_form, num_pages
def get_context_data(self, request, **kwargs):
context = super(WordView, self).get_context_data(request, **kwargs)
dataset = context['dataset']
analysis = context['analysis']
word = kwargs['word']
context['highlight'] = 'words_tab'
context['tab'] = 'word'
words = get_word_list(request, dataset.name)
num_per_page = request.session.get('words-per-page', 30)
page_num = request.session.get('word-page', 1)
words, num_pages, _ = paginate_list(words, page_num, num_per_page)
context['words'] = words
context['num_pages'] = num_pages
context['page_num'] = page_num
if word:
word = Word.objects.get(dataset=dataset, type=word)
else:
word = context['words'][0]
context['word'] = word
context['breadcrumb'] = BreadCrumb().item(dataset).item(analysis).item(word)
word_url = context['words_url'] + '/' + word.type
word_base = request.session.get('word-find-base', '')
context['word_find_form'] = WordFindForm(word_base)
context['view_description'] = "Word '{0}'".format(word.type)
context['tabs'] = [words_tab(analysis, word, word_url, context['IMAGES'])]
return context
