def extract_field_analyzed_translations(cls, obj, field, db_field=None):
"""
Returns a dict containing translations for each language-specific
analyzer for the given field.
"""
if db_field is None:
db_field = '%s_id' % field
extend_with_me = {}
# Indices for each language. languages is a list of locales we want to
# index with analyzer if the string's locale matches.
for analyzer, languages in SEARCH_ANALYZER_MAP.iteritems():
extend_with_me['%s_%s' % (field, analyzer)] = list(
set(string for locale, string in obj.translations[getattr(
obj, db_field)] if locale.lower() in languages))
return extend_with_me
def extract_field_analyzed_translations(cls, obj, field, db_field=None):
"""
Returns a dict containing translations for each language-specific
analyzer for the given field.
"""
if db_field is None:
db_field = '%s_id' % field
extend_with_me = {}
# Indices for each language. languages is a list of locales we want to
# index with analyzer if the string's locale matches.
for analyzer, languages in SEARCH_ANALYZER_MAP.iteritems():
extend_with_me['%s_l10n_%s' % (field, analyzer)] = list(
set(unicode(string) for locale, string
in obj.translations[getattr(obj, db_field)]
if locale.lower() in languages))
return extend_with_me