def related_documents(self):
"""Return documents that are 'morelikethis' one"""
if not self.product:
return []
# First try to get the results from the cache
key = 'questions_question:related_docs:%s' % self.id
documents = cache.get(key)
if documents is not None:
statsd.incr('questions.related_documents.cache.hit')
log.debug(
'Getting MLT documents for {question} from cache.'.format(
question=repr(self)))
return documents
try:
statsd.incr('questions.related_documents.cache.miss')
s = Document.get_mapping_type().search()
documents = (s.values_dict('id', 'document_title', 'url').filter(
document_locale=self.locale,
document_is_archived=False,
document_category__in=settings.IA_DEFAULT_CATEGORIES,
product__in=[self.product.slug]
).query(
__mlt={
'fields':
['document_title', 'document_summary', 'document_content'],
'like_text':
self.title,
'min_term_freq':
1,
'min_doc_freq':
1
})[:3])
documents = list(documents)
cache.add(key, documents)
except ES_EXCEPTIONS:
statsd.incr('questions.related_documents.esexception')
log.exception('ES MLT related_documents')
documents = []
return documents
def related_documents(self):
"""Return documents that are 'morelikethis' one"""
if not self.product:
return []
# First try to get the results from the cache
key = 'questions_question:related_docs:%s' % self.id
documents = cache.get(key)
if documents is not None:
statsd.incr('questions.related_documents.cache.hit')
log.debug('Getting MLT documents for {question} from cache.'
.format(question=repr(self)))
return documents
try:
statsd.incr('questions.related_documents.cache.miss')
s = Document.get_mapping_type().search()
documents = (
s.values_dict('id', 'document_title', 'url')
.filter(document_locale=self.locale,
document_is_archived=False,
document_category__in=settings.IA_DEFAULT_CATEGORIES,
product__in=[self.product.slug])
.query(__mlt={
'fields': ['document_title', 'document_summary',
'document_content'],
'like_text': self.title,
'min_term_freq': 1,
'min_doc_freq': 1})
[:3])
documents = list(documents)
cache.add(key, documents)
except ES_EXCEPTIONS:
statsd.incr('questions.related_documents.esexception')
log.exception('ES MLT related_documents')
documents = []
return documents
