def get_unique_terms(self, input_data):
"""Parses the input data to find the list of unique terms in the
tag cloud
"""
unique_terms = {}
for field_id in self.term_forms:
if field_id in input_data:
input_data_field = input_data.get(field_id, '')
if isinstance(input_data_field, basestring):
case_sensitive = self.term_analysis[field_id].get(
'case_sensitive', True)
token_mode = self.term_analysis[field_id].get(
'token_mode', 'all')
if token_mode != TM_FULL_TERM:
terms = parse_terms(input_data_field,
case_sensitive=case_sensitive)
else:
terms = []
full_term = input_data_field if case_sensitive \
else input_data_field.lower()
# We add full_term if needed. Note that when there's
# only one term in the input_data, full_term and term are
# equal. Then full_term will not be added to avoid
# duplicated counters for the term.
if token_mode == TM_FULL_TERM or \
(token_mode == TM_ALL and terms[0] != full_term):
terms.append(full_term)
unique_terms[field_id] = get_unique_terms(
terms, self.term_forms[field_id],
self.tag_clouds.get(field_id, []))
else:
unique_terms[field_id] = [(input_data_field, 1)]
del input_data[field_id]
# the same for items fields
for field_id in self.item_analysis:
if field_id in input_data:
input_data_field = input_data.get(field_id, '')
if isinstance(input_data_field, basestring):
# parsing the items in input_data
separator = self.item_analysis[field_id].get(
'separator', ' ')
regexp = self.item_analysis[field_id].get(
'separator_regexp')
if regexp is None:
regexp = ur'%s' % re.escape(separator)
terms = parse_items(input_data_field, regexp)
unique_terms[field_id] = get_unique_terms(
terms, {},
self.items.get(field_id, []))
else:
unique_terms[field_id] = [(input_data_field, 1)]
del input_data[field_id]
for field_id in self.categories:
if field_id in input_data:
input_data_field = input_data.get(field_id, '')
unique_terms[field_id] = [(input_data_field, 1)]
del input_data[field_id]
return unique_terms
def get_unique_terms(self, input_data):
"""Parses the input data to find the list of unique terms in the
tag cloud
"""
unique_terms = {}
for field_id in self.term_forms:
if field_id in input_data:
input_data_field = input_data.get(field_id, '')
if isinstance(input_data_field, basestring):
case_sensitive = self.term_analysis[field_id].get(
'case_sensitive', True)
token_mode = self.term_analysis[field_id].get(
'token_mode', 'all')
if token_mode != TM_FULL_TERM:
terms = parse_terms(input_data_field,
case_sensitive=case_sensitive)
else:
terms = []
if token_mode != TM_TOKENS:
terms.append(
input_data_field if case_sensitive
else input_data_field.lower())
unique_terms[field_id] = get_unique_terms(
terms, self.term_forms[field_id],
self.tag_clouds.get(field_id, []))
else:
unique_terms[field_id] = [(input_data_field, 1)]
del input_data[field_id]
# the same for items fields
for field_id in self.item_analysis:
if field_id in input_data:
input_data_field = input_data.get(field_id, '')
if isinstance(input_data_field, basestring):
# parsing the items in input_data
separator = self.item_analysis[field_id].get(
'separator', ' ')
regexp = self.item_analysis[field_id].get(
'separator_regexp')
if regexp is None:
regexp = ur'%s' % re.escape(separator)
terms = parse_items(input_data_field, regexp)
unique_terms[field_id] = get_unique_terms(
terms, {},
self.items.get(field_id, []))
else:
unique_terms[field_id] = [(input_data_field, 1)]
del input_data[field_id]
for field_id in self.categories:
if field_id in input_data:
input_data_field = input_data.get(field_id, '')
unique_terms[field_id] = [(input_data_field, 1)]
del input_data[field_id]
return unique_terms