def setUp(self):
super(TestRelatedContent, self).setUp()
es = related.get_connection()
related.delete(es)
related.create(es)
index = related.get_index()
es.health(index=index, wait_for_status="yellow", wait_for_relocating_shards=0, timeout="5m") # wait for all
def setUp(self):
super(TestRelatedContent, self).setUp()
es = related.get_connection()
related.delete(es)
related.create(es)
index = related.get_index()
es.health(
index=index,
wait_for_status='yellow',
wait_for_relocating_shards=0, # wait for all
timeout='5m')
def related_content(request):
es = related.get_connection()
index = related.get_index()
if request.method == 'POST':
form = forms.ReindexRelatedContentForm(request.POST)
if form.is_valid():
if form.cleaned_data['delete_and_recreate']:
try:
related.delete(es)
except pyelasticsearch.ElasticHttpNotFoundError:
pass
related.create(es)
form.cleaned_data['all'] = True
since = None
if form.cleaned_data['since']:
since = datetime.timedelta(
minutes=form.cleaned_data['since']
)
related.index(
all=form.cleaned_data['all'],
since=since
)
messages.success(
request,
'Re-indexing issued.'
)
return redirect('manage:related_content')
else:
initial = {
'since': 30,
}
form = forms.ReindexRelatedContentForm(initial=initial)
query = {
'query': {
'match_all': {}
}
}
try:
count = es.count(query, index=index)['count']
except pyelasticsearch.ElasticHttpNotFoundError:
count = 'no'
context = {
'form': form,
'count_indexed': count,
'count_events': Event.objects.scheduled_or_processing().count(),
'index_name': index,
}
return render(request, 'manage/related_content.html', context)
def related_content(request):
es = related.get_connection()
index = related.get_index()
if request.method == 'POST':
form = forms.ReindexRelatedContentForm(request.POST)
if form.is_valid():
if form.cleaned_data['delete_and_recreate']:
try:
related.delete(es)
except pyelasticsearch.ElasticHttpNotFoundError:
pass
related.create(es)
form.cleaned_data['all'] = True
since = None
if form.cleaned_data['since']:
since = datetime.timedelta(
minutes=form.cleaned_data['since']
)
related.index(
all=form.cleaned_data['all'],
since=since
)
messages.success(
request,
'Re-indexing issued.'
)
return redirect('manage:related_content')
else:
initial = {
'since': 30,
}
form = forms.ReindexRelatedContentForm(initial=initial)
query = {
'query': {
'match_all': {}
}
}
try:
count = es.count(query, index=index)['count']
except pyelasticsearch.ElasticHttpNotFoundError:
count = 'no'
context = {
'form': form,
'count_indexed': count,
'count_events': Event.objects.scheduled_or_processing().count(),
'index_name': index,
}
return render(request, 'manage/related_content.html', context)
def find_related_events(event,
user,
boost_title=None,
boost_tags=None,
size=None,
use_title=True,
use_tags=True,
explain=False):
assert use_title or use_tags
if boost_title is None:
boost_title = settings.RELATED_CONTENT_BOOST_TITLE
if boost_tags is None:
boost_tags = settings.RELATED_CONTENT_BOOST_TAGS
if size is None:
size = settings.RELATED_CONTENT_SIZE
index = related.get_index()
doc_type = 'event'
es = related.get_connection()
fields = ['title']
if list(event.channels.all()) != [
Channel.objects.get(slug=settings.DEFAULT_CHANNEL_SLUG)
]:
fields.append('channel')
mlt_queries = []
if use_title:
mlt_queries.append({
'more_like_this': {
'fields': ['title'],
# 'analyzer': 'snowball',
'docs': [{
'_index': index,
'_type': doc_type,
'_id': event.id
}],
'min_term_freq': 1,
'max_query_terms': 20,
'min_doc_freq': 1,
# 'max_doc_freq': 2,
# 'stop_words': ['your', 'about'],
'boost': boost_title,
}
})
if use_tags and event.tags.all().exists():
fields.append('tags')
mlt_queries.append({
'more_like_this': {
'fields': ['tags'],
'docs': [{
'_index': index,
'_type': doc_type,
'_id': event.id
}],
'min_term_freq': 1,
'max_query_terms': 20,
'min_doc_freq': 1,
'boost': boost_tags,
}
})
query_ = {
'bool': {
'should': mlt_queries,
}
}
if user.is_active:
if is_contributor(user):
query = {
'fields': fields,
'query': query_,
'filter': {
'bool': {
'must_not': {
'term': {
'privacy': Event.PRIVACY_COMPANY
}
}
}
}
}
else:
query = {'fields': fields, 'query': query_}
else:
query = {
'fields': fields,
'query': query_,
"filter": {
"bool": {
"must": {
"term": {
"privacy": Event.PRIVACY_PUBLIC
}
}
}
}
}
ids = []
query['from'] = 0
query['size'] = size
query['explain'] = explain
hits = es.search(query, index=index)['hits']
scores = {}
explanations = []
for doc in hits['hits']:
_id = int(doc['_id'])
scores[_id] = doc['_score']
ids.append(_id)
if explain:
explanations.append(doc['_explanation'])
events = Event.objects.scheduled_or_processing().filter(id__in=ids)
if user.is_active:
if is_contributor(user):
events = events.exclude(privacy=Event.PRIVACY_COMPANY)
else:
events = events.filter(privacy=Event.PRIVACY_PUBLIC)
events = sorted(events, key=lambda e: ids.index(e.id))
return (events, scores, explanations)
def find_related_events(
event, user, boost_title=None, boost_tags=None, size=None,
use_title=True, use_tags=True, explain=False
):
assert use_title or use_tags
if boost_title is None:
boost_title = settings.RELATED_CONTENT_BOOST_TITLE
if boost_tags is None:
boost_tags = settings.RELATED_CONTENT_BOOST_TAGS
if size is None:
size = settings.RELATED_CONTENT_SIZE
index = related.get_index()
doc_type = 'event'
es = related.get_connection()
fields = ['title']
if list(event.channels.all()) != [
Channel.objects.get(slug=settings.DEFAULT_CHANNEL_SLUG)]:
fields.append('channel')
mlt_queries = []
if use_title:
mlt_queries.append({
'more_like_this': {
'fields': ['title'],
# 'analyzer': 'snowball',
'docs': [
{
'_index': index,
'_type': doc_type,
'_id': event.id
}],
'min_term_freq': 1,
'max_query_terms': 20,
'min_doc_freq': 1,
# 'max_doc_freq': 2,
# 'stop_words': ['your', 'about'],
'boost': boost_title,
}
})
if use_tags and event.tags.all().exists():
fields.append('tags')
mlt_queries.append({
'more_like_this': {
'fields': ['tags'],
'docs': [
{
'_index': index,
'_type': doc_type,
'_id': event.id
}],
'min_term_freq': 1,
'max_query_terms': 20,
'min_doc_freq': 1,
'boost': boost_tags,
}
})
query_ = {
'bool': {
'should': mlt_queries,
}
}
if user.is_active:
if is_contributor(user):
query = {
'fields': fields,
'query': query_,
'filter': {
'bool': {
'must_not': {
'term': {
'privacy': Event.PRIVACY_COMPANY
}
}
}
}
}
else:
query = {
'fields': fields,
'query': query_
}
else:
query = {
'fields': fields,
'query': query_,
"filter": {
"bool": {
"must": {
"term": {"privacy": Event.PRIVACY_PUBLIC}
}
}
}
}
ids = []
query['from'] = 0
query['size'] = size
query['explain'] = explain
hits = es.search(query, index=index)['hits']
scores = {}
explanations = []
for doc in hits['hits']:
_id = int(doc['_id'])
scores[_id] = doc['_score']
ids.append(_id)
if explain:
explanations.append(doc['_explanation'])
events = Event.objects.scheduled_or_processing().filter(id__in=ids)
if user.is_active:
if is_contributor(user):
events = events.exclude(privacy=Event.PRIVACY_COMPANY)
else:
events = events.filter(privacy=Event.PRIVACY_PUBLIC)
events = sorted(events, key=lambda e: ids.index(e.id))
return (events, scores, explanations)
