def display_facet(context, filter, facet, type):
facet = annotate_tags(
[dict(name=f[0], count=f[1]) for f in facet if f[0] != "0"],
sort=True,
small_size=0.7,
large_size=2.0)
# If the filter is grouping_pack and there are elements which do not contain the chaarcter "_" means that
# these sounds do not belong to any pack (as goruping pack values should by "packId_packName" if there is a pack
# or "soundId" if there is no pack assigned. We did this to be able to filter properly in the facets, as pack names
# are not unique!. What we do then is filter out the facet elements where, only for the case of grouping_pack,
# the element name is a single number that does not contain the character "_"
filtered_facet = []
for element in facet:
if filter == "grouping_pack":
if element['name'].count("_") > 0:
element['display_name'] = element['name'][
element['name'].find("_") +
1:] # We also modify the dispay name to remove the id
filtered_facet.append(element)
else:
element['display_name'] = element['name']
filtered_facet.append(element)
context.update({"facet": filtered_facet, "type": type, "filter": filter})
return context
def display_facet(context, flt, facet, type):
facet = annotate_tags([dict(name=f[0], count=f[1]) for f in facet if f[0] != "0"],
sort=True, small_size=0.7, large_size=2.0)
# If the filter is grouping_pack and there are elements which do not contain the character "_" means that
# these sounds do not belong to any pack (as grouping pack values should by "packId_packName" if there is a pack
# or "soundId" if there is no pack assigned. We did this to be able to filter properly in the facets, as pack names
# are not unique!. What we do then is filter out the facet elements where, only for the case of grouping_pack,
# the element name is a single number that does not contain the character "_"
filter_query = context['filter_query']
filtered_facet = []
for element in facet:
if flt == "grouping_pack":
if element['name'].count("_") > 0:
# We also modify the dispay name to remove the id
element['display_name'] = element['name'][element['name'].find("_")+1:]
element['params'] = '%s %s:"%s"' % (filter_query, flt, urlquote_plus(element['name']))
filtered_facet.append(element)
else:
element['display_name'] = element['name']
element['params'] = '%s %s:"%s"' % (filter_query, flt, urlquote_plus(element['name']))
filtered_facet.append(element)
context.update({"facet": filtered_facet, "type": type, "filter": flt})
return context
def display_facet(context, flt, facet, type, title=""):
facet = annotate_tags(
[dict(name=f[0], count=f[1]) for f in facet if f[0] != "0"],
sort=True,
small_size=0.7,
large_size=2.0)
# If the filter is grouping_pack and there are elements which do not contain the character "_" means that
# these sounds do not belong to any pack (as grouping pack values should by "packId_packName" if there is a pack
# or "soundId" if there is no pack assigned. We did this to be able to filter properly in the facets, as pack names
# are not unique!. What we do then is filter out the facet elements where, only for the case of grouping_pack,
# the element name is a single number that does not contain the character "_"
filter_query = context['filter_query']
filtered_facet = []
for element in facet:
if flt == "grouping_pack":
if element['name'].count("_") > 0:
# We also modify the display name to remove the id
element['display_name'] = element['name'][element['name'].
find("_") + 1:]
element['params'] = u'{0} {1}:"{2}"'.format(
filter_query, flt, urlquote_plus(element['name']))
else:
# If facet element belongs to "grouping pack" filter but does not have the "_" character in it, it
# means this corresponds to the "no pack" grouping which we don't want to show as a facet element.
continue
else:
element['display_name'] = element['name']
element['params'] = u'{0} {1}:"{2}"'.format(
filter_query, flt, urlquote_plus(element['name']))
element['id'] = u'{0}--{1}'.format(flt, urlquote_plus(element['name']))
element['add_filter_url'] = u'.?g={0}&q={1}&f={2}'.format(
context['grouping'], context['search_query'], element['params'])
filtered_facet.append(element)
if using_beastwhoosh(context['request']):
# In BW ui, we sort the facets of type "cloud" by their frequency of occurrence and apply an opacity filter
filtered_facet = sorted(filtered_facet,
key=lambda x: x['count'],
reverse=True)
max_count = max([element['count'] for element in filtered_facet])
for element in filtered_facet:
element['weight'] = (1.0 * element['count']) / max_count
context.update({
"facet": filtered_facet,
"type": type,
"filter": flt,
"title": title
})
return context
def add_sizes(tags, arguments):
sort, small_size, large_size = arguments.split(":")
return annotate_tags(tags,
sort.lower() == "true", float(small_size),
float(large_size))
def add_sizes(tags, arguments):
sort, small_size, large_size = arguments.split(":")
return annotate_tags(tags, sort.lower() == "true", float(small_size), float(large_size))
