def test_boosts(self):
"""Check if boosts are doing their job"""
if not self.manager.connected_to_es:
return
# 1. Create topics (with identical titles), posts (with identical texts), an article and a tuto
text = 'test'
topic_1_solved_sticky = TopicFactory(forum=self.forum,
author=self.user)
topic_1_solved_sticky.title = text
topic_1_solved_sticky.subtitle = ''
topic_1_solved_sticky.solved_by = self.user
topic_1_solved_sticky.is_sticky = True
topic_1_solved_sticky.save()
post_1 = PostFactory(topic=topic_1_solved_sticky,
author=self.user,
position=1)
post_1.text = post_1.text_html = text
post_1.save()
post_2_useful = PostFactory(topic=topic_1_solved_sticky,
author=self.user,
position=2)
post_2_useful.text = post_2_useful.text_html = text
post_2_useful.is_useful = True
post_2_useful.like = 5
post_2_useful.dislike = 2 # l/d ratio above 1
post_2_useful.save()
topic_2_locked = TopicFactory(forum=self.forum,
author=self.user,
title=text)
topic_2_locked.title = text
topic_2_locked.subtitle = ''
topic_2_locked.is_locked = True
topic_2_locked.save()
post_3_ld_below_1 = PostFactory(topic=topic_2_locked,
author=self.user,
position=1)
post_3_ld_below_1.text = post_3_ld_below_1.text_html = text
post_3_ld_below_1.like = 2
post_3_ld_below_1.dislike = 5 # l/d ratio below 1
post_3_ld_below_1.save()
tuto = PublishableContentFactory(type='TUTORIAL')
tuto_draft = tuto.load_version()
tuto.title = text
tuto.authors.add(self.user)
tuto.save()
tuto_draft.repo_update_top_container(text, tuto.slug, text, text)
chapter1 = ContainerFactory(parent=tuto_draft, db_object=tuto)
chapter1.repo_update(text, 'Who cares ?', 'Same here')
ExtractFactory(container=chapter1, db_object=tuto)
published_tuto = publish_content(tuto,
tuto_draft,
is_major_update=True)
tuto.sha_public = tuto_draft.current_version
tuto.sha_draft = tuto_draft.current_version
tuto.public_version = published_tuto
tuto.save()
article = PublishedContentFactory(type='ARTICLE', title=text)
published_article = PublishedContent.objects.get(content_pk=article.pk)
opinion_not_picked = PublishedContentFactory(type='OPINION',
title=text)
published_opinion_not_picked = PublishedContent.objects.get(
content_pk=opinion_not_picked.pk)
opinion_picked = PublishedContentFactory(type='OPINION', title=text)
opinion_picked.sha_picked = opinion_picked.sha_draft
opinion_picked.date_picked = datetime.datetime.now()
opinion_picked.save()
published_opinion_picked = PublishedContent.objects.get(
content_pk=opinion_picked.pk)
for model in self.indexable:
if model is FakeChapter:
continue
self.manager.es_bulk_indexing_of_model(model)
self.manager.refresh_index()
self.assertEqual(
len(
self.manager.setup_search(Search().query(
MatchAll())).execute()), 10)
# 2. Reset all boosts to 1
for doc_type in settings.ZDS_APP['search']['boosts']:
for key in settings.ZDS_APP['search']['boosts'][doc_type]:
settings.ZDS_APP['search']['boosts'][doc_type][key] = 1.0
# 3. Test posts
result = self.client.get(reverse('search:query') + '?q=' + text +
'&models=' + Post.get_es_document_type(),
follow=False)
self.assertEqual(result.status_code, 200)
response = result.context['object_list'].execute()
self.assertEqual(response.hits.total, 3)
# score are equals without boost:
self.assertTrue(response[0].meta.score == response[1].meta.score ==
response[2].meta.score)
settings.ZDS_APP['search']['boosts']['post']['if_first'] = 2.0
result = self.client.get(reverse('search:query') + '?q=' + text +
'&models=' + Post.get_es_document_type(),
follow=False)
self.assertEqual(result.status_code, 200)
response = result.context['object_list'].execute()
self.assertEqual(response.hits.total, 3)
self.assertTrue(response[0].meta.score == response[1].meta.score >
response[2].meta.score)
self.assertEqual(response[2].meta.id, str(
post_2_useful.pk)) # post 2 is the only one not first
settings.ZDS_APP['search']['boosts']['post']['if_first'] = 1.0
settings.ZDS_APP['search']['boosts']['post']['if_useful'] = 2.0
result = self.client.get(reverse('search:query') + '?q=' + text +
'&models=' + Post.get_es_document_type(),
follow=False)
self.assertEqual(result.status_code, 200)
response = result.context['object_list'].execute()
self.assertEqual(response.hits.total, 3)
self.assertTrue(response[0].meta.score > response[1].meta.score ==
response[2].meta.score)
self.assertEqual(response[0].meta.id,
str(post_2_useful.pk)) # post 2 is useful
settings.ZDS_APP['search']['boosts']['post']['if_useful'] = 1.0
settings.ZDS_APP['search']['boosts']['post']['ld_ratio_above_1'] = 2.0
result = self.client.get(reverse('search:query') + '?q=' + text +
'&models=' + Post.get_es_document_type(),
follow=False)
self.assertEqual(result.status_code, 200)
response = result.context['object_list'].execute()
self.assertEqual(response.hits.total, 3)
self.assertTrue(response[0].meta.score > response[1].meta.score ==
response[2].meta.score)
self.assertEqual(response[0].meta.id, str(
post_2_useful.pk)) # post 2 have a l/d ratio of 5/2
settings.ZDS_APP['search']['boosts']['post']['ld_ratio_above_1'] = 1.0
settings.ZDS_APP['search']['boosts']['post'][
'ld_ratio_below_1'] = 2.0 # no one would do that in real life
result = self.client.get(reverse('search:query') + '?q=' + text +
'&models=' + Post.get_es_document_type(),
follow=False)
self.assertEqual(result.status_code, 200)
response = result.context['object_list'].execute()
self.assertEqual(response.hits.total, 3)
self.assertTrue(response[0].meta.score > response[1].meta.score ==
response[2].meta.score)
self.assertEqual(response[0].meta.id, str(
post_3_ld_below_1.pk)) # post 3 have a l/d ratio of 2/5
settings.ZDS_APP['search']['boosts']['post']['ld_ratio_below_1'] = 1.0
# 4. Test topics
result = self.client.get(reverse('search:query') + '?q=' + text +
'&models=' + Topic.get_es_document_type(),
follow=False)
self.assertEqual(result.status_code, 200)
response = result.context['object_list'].execute()
self.assertEqual(response.hits.total, 2)
# score are equals without boost:
self.assertTrue(response[0].meta.score == response[1].meta.score)
settings.ZDS_APP['search']['boosts']['topic']['if_sticky'] = 2.0
result = self.client.get(reverse('search:query') + '?q=' + text +
'&models=' + Topic.get_es_document_type(),
follow=False)
self.assertEqual(result.status_code, 200)
response = result.context['object_list'].execute()
self.assertEqual(response.hits.total, 2)
self.assertTrue(response[0].meta.score > response[1].meta.score)
self.assertEqual(response[0].meta.id,
str(topic_1_solved_sticky.pk)) # topic 1 is sticky
settings.ZDS_APP['search']['boosts']['topic']['if_sticky'] = 1.0
settings.ZDS_APP['search']['boosts']['topic']['if_solved'] = 2.0
result = self.client.get(reverse('search:query') + '?q=' + text +
'&models=' + Topic.get_es_document_type(),
follow=False)
self.assertEqual(result.status_code, 200)
response = result.context['object_list'].execute()
self.assertEqual(response.hits.total, 2)
self.assertTrue(response[0].meta.score > response[1].meta.score)
self.assertEqual(response[0].meta.id,
str(topic_1_solved_sticky.pk)) # topic 1 is solved
settings.ZDS_APP['search']['boosts']['topic']['if_solved'] = 1.0
settings.ZDS_APP['search']['boosts']['topic'][
'if_locked'] = 2.0 # no one would do that in real life
result = self.client.get(reverse('search:query') + '?q=' + text +
'&models=' + Topic.get_es_document_type(),
follow=False)
self.assertEqual(result.status_code, 200)
response = result.context['object_list'].execute()
self.assertEqual(response.hits.total, 2)
self.assertTrue(response[0].meta.score > response[1].meta.score)
self.assertEqual(response[0].meta.id,
str(topic_2_locked.pk)) # topic 2 is locked
settings.ZDS_APP['search']['boosts']['topic'][
'if_locked'] = 1.0 # no one would do that in real life
# 5. Test published contents
result = self.client.get(reverse('search:query') + '?q=' + text +
'&models=content',
follow=False)
self.assertEqual(result.status_code, 200)
response = result.context['object_list'].execute()
self.assertEqual(response.hits.total, 5)
# score are equals without boost:
self.assertTrue(
response[0].meta.score == response[1].meta.score == response[2].
meta.score == response[3].meta.score == response[4].meta.score)
settings.ZDS_APP['search']['boosts']['publishedcontent'][
'if_article'] = 2.0
result = self.client.get(reverse('search:query') + '?q=' + text +
'&models=content',
follow=False)
self.assertEqual(result.status_code, 200)
response = result.context['object_list'].execute()
self.assertEqual(response.hits.total, 5)
self.assertTrue(response[0].meta.score > response[1].meta.score)
self.assertEqual(response[0].meta.id,
str(published_article.pk)) # obvious
settings.ZDS_APP['search']['boosts']['publishedcontent'][
'if_article'] = 1.0
settings.ZDS_APP['search']['boosts']['publishedcontent'][
'if_tutorial'] = 2.0
result = self.client.get(reverse('search:query') + '?q=' + text +
'&models=content',
follow=False)
self.assertEqual(result.status_code, 200)
response = result.context['object_list'].execute()
self.assertEqual(response.hits.total, 5)
self.assertTrue(response[0].meta.score > response[1].meta.score)
self.assertEqual(response[0].meta.id,
str(published_tuto.pk)) # obvious
settings.ZDS_APP['search']['boosts']['publishedcontent'][
'if_tutorial'] = 1.0
settings.ZDS_APP['search']['boosts']['publishedcontent'][
'if_opinion'] = 2.0
settings.ZDS_APP['search']['boosts']['publishedcontent'][
'if_opinion_not_picked'] = 4.0
# Note: in "real life", unpicked opinion would get a boost < 1.
result = self.client.get(reverse('search:query') + '?q=' + text +
'&models=content',
follow=False)
self.assertEqual(result.status_code, 200)
response = result.context['object_list'].execute()
self.assertEqual(response.hits.total, 5)
self.assertTrue(response[0].meta.score > response[1].meta.score >
response[2].meta.score)
self.assertEqual(
response[0].meta.id,
str(published_opinion_not_picked.pk)) # unpicked opinion got first
self.assertEqual(response[1].meta.id, str(published_opinion_picked.pk))
settings.ZDS_APP['search']['boosts']['publishedcontent'][
'if_opinion'] = 1.0
settings.ZDS_APP['search']['boosts']['publishedcontent'][
'if_opinion_not_picked'] = 1.0
settings.ZDS_APP['search']['boosts']['publishedcontent'][
'if_medium_or_big_tutorial'] = 2.0
result = self.client.get(reverse('search:query') + '?q=' + text +
'&models=content',
follow=False)
self.assertEqual(result.status_code, 200)
response = result.context['object_list'].execute()
self.assertEqual(response.hits.total, 5)
self.assertTrue(response[0].meta.score > response[1].meta.score)
self.assertEqual(response[0].meta.id,
str(published_tuto.pk)) # obvious
settings.ZDS_APP['search']['boosts']['publishedcontent'][
'if_medium_or_big_tutorial'] = 1.0
# 6. Test global boosts
# NOTE: score are NOT the same for all documents, no matter how hard it tries to, small differences exists
for model in self.indexable:
# set a huge number to overcome the small differences:
settings.ZDS_APP['search']['boosts'][
model.get_es_document_type()]['global'] = 10.0
result = self.client.get(reverse('search:query') + '?q=' + text,
follow=False)
self.assertEqual(result.status_code, 200)
response = result.context['object_list'].execute()
self.assertEqual(response.hits.total, 10)
self.assertEqual(response[0].meta.doc_type,
model.get_es_document_type()) # obvious
settings.ZDS_APP['search']['boosts'][
model.get_es_document_type()]['global'] = 1.0
def test_category_and_subcategory_impact_search(self):
"""If two contents do not belong to the same (sub)category"""
if not self.manager.connected_to_es:
return
text = 'Did you ever hear the tragedy of Darth Plagueis The Wise?'
# 1. Create two contents with different subcategories
category_1 = 'category 1'
subcategory_1 = SubCategoryFactory(title=category_1)
category_2 = 'category 2'
subcategory_2 = SubCategoryFactory(title=category_2)
tuto_1 = PublishableContentFactory(type='TUTORIAL')
tuto_1_draft = tuto_1.load_version()
tuto_1.title = text
tuto_1.authors.add(self.user)
tuto_1.subcategory.add(subcategory_1)
tuto_1.save()
tuto_1_draft.description = text
tuto_1_draft.repo_update_top_container(text, tuto_1.slug, text, text)
chapter_1 = ContainerFactory(parent=tuto_1_draft, db_object=tuto_1)
extract_1 = ExtractFactory(container=chapter_1, db_object=tuto_1)
extract_1.repo_update(text, text)
published_1 = publish_content(tuto_1,
tuto_1_draft,
is_major_update=True)
tuto_1.sha_public = tuto_1_draft.current_version
tuto_1.sha_draft = tuto_1_draft.current_version
tuto_1.public_version = published_1
tuto_1.save()
tuto_2 = PublishableContentFactory(type='TUTORIAL')
tuto_2_draft = tuto_2.load_version()
tuto_2.title = text
tuto_2.authors.add(self.user)
tuto_2.subcategory.add(subcategory_2)
tuto_2.save()
tuto_2_draft.description = text
tuto_2_draft.repo_update_top_container(text, tuto_2.slug, text, text)
chapter_2 = ContainerFactory(parent=tuto_2_draft, db_object=tuto_2)
extract_2 = ExtractFactory(container=chapter_2, db_object=tuto_2)
extract_2.repo_update(text, text)
published_2 = publish_content(tuto_2,
tuto_2_draft,
is_major_update=True)
tuto_2.sha_public = tuto_2_draft.current_version
tuto_2.sha_draft = tuto_2_draft.current_version
tuto_2.public_version = published_2
tuto_2.save()
# 2. Index:
self.assertEqual(
len(
self.manager.setup_search(Search().query(
MatchAll())).execute()), 0)
# index
for model in self.indexable:
if model is FakeChapter:
continue
self.manager.es_bulk_indexing_of_model(model)
self.manager.refresh_index()
result = self.client.get(reverse('search:query') + '?q=' + text,
follow=False)
self.assertEqual(result.status_code, 200)
response = result.context['object_list'].execute()
self.assertEqual(response.hits.total, 4) # Ok
# 3. Test
result = self.client.get(reverse('search:query') + '?q=' + text +
'&model=content&subcategory=' +
subcategory_1.slug,
follow=False)
self.assertEqual(result.status_code, 200)
response = result.context['object_list'].execute()
self.assertEqual(response.hits.total, 2)
self.assertEqual([
int(r.meta.id) for r in response
if r.meta.doc_type == 'publishedcontent'
][0], published_1.pk)
self.assertEqual([
r.meta.id for r in response if r.meta.doc_type == 'chapter'
][0], tuto_1.slug + '__' + chapter_1.slug)
result = self.client.get(reverse('search:query') + '?q=' + text +
'&model=content&subcategory=' +
subcategory_2.slug,
follow=False)
self.assertEqual(result.status_code, 200)
response = result.context['object_list'].execute()
self.assertEqual(response.hits.total, 2)
self.assertEqual([
int(r.meta.id) for r in response
if r.meta.doc_type == 'publishedcontent'
][0], published_2.pk)
self.assertEqual([
r.meta.id for r in response if r.meta.doc_type == 'chapter'
][0], tuto_2.slug + '__' + chapter_2.slug)
def test_hidden_forums_give_no_results_if_user_not_allowed(self):
"""Long name, isn't ?"""
if not self.manager.connected_to_es:
return
# 1. Create a hidden forum belonging to a hidden staff group.
text = 'test'
group = Group.objects.create(name='Les illuminatis anonymes de ZdS')
_, hidden_forum = create_category(group)
self.staff.groups.add(group)
self.staff.save()
topic_1 = TopicFactory(forum=hidden_forum,
author=self.staff,
title=text)
post_1 = PostFactory(topic=topic_1, author=self.user, position=1)
post_1.text = post_1.text_html = text
post_1.save()
self.manager.es_bulk_indexing_of_model(Topic)
self.manager.es_bulk_indexing_of_model(Post)
self.manager.refresh_index()
self.assertEqual(
len(
self.manager.setup_search(Search().query(
MatchAll())).execute()), 2) # indexing ok
# 2. search without connection and get not result
result = self.client.get(reverse('search:query') + '?q=' + text,
follow=False)
self.assertEqual(result.status_code, 200)
response = result.context['object_list'].execute()
self.assertEqual(response.hits.total, 0)
# 3. Connect with user (not a member of the group), search, and get no result
self.assertTrue(
self.client.login(username=self.user.username,
password='******'))
result = self.client.get(reverse('search:query') + '?q=' + text,
follow=False)
self.assertEqual(result.status_code, 200)
response = result.context['object_list'].execute()
self.assertEqual(response.hits.total, 0)
# 4. Connect with staff, search, and get the topic and the post
self.client.logout()
self.assertTrue(
self.client.login(username=self.staff.username,
password='******'))
result = self.client.get(reverse('search:query') + '?q=' + text,
follow=False)
self.assertEqual(result.status_code, 200)
response = result.context['object_list'].execute()
self.assertEqual(response.hits.total, 2) # ok !
def test_indexation(self):
"""test the indexation and deletion of the different documents"""
if not self.manager.connected_to_es:
return
# create a topic with a post
topic = TopicFactory(forum=self.forum, author=self.user)
post = PostFactory(topic=topic, author=self.user, position=1)
topic = Topic.objects.get(pk=topic.pk)
post = Post.objects.get(pk=post.pk)
self.assertFalse(topic.es_already_indexed)
self.assertTrue(topic.es_flagged)
self.assertFalse(post.es_already_indexed)
self.assertTrue(post.es_flagged)
# create a middle-tutorial and publish it
tuto = PublishableContentFactory(type='TUTORIAL')
tuto.authors.add(self.user)
tuto.save()
tuto_draft = tuto.load_version()
chapter1 = ContainerFactory(parent=tuto_draft, db_object=tuto)
ExtractFactory(container=chapter1, db_object=tuto)
published = publish_content(tuto, tuto_draft, is_major_update=True)
tuto.sha_public = tuto_draft.current_version
tuto.sha_draft = tuto_draft.current_version
tuto.public_version = published
tuto.save()
published = PublishedContent.objects.get(content_pk=tuto.pk)
self.assertFalse(published.es_already_indexed)
self.assertTrue(published.es_flagged)
# 1. index all
for model in self.indexable:
if model is FakeChapter:
continue
self.manager.es_bulk_indexing_of_model(model,
force_reindexing=False)
self.manager.refresh_index()
topic = Topic.objects.get(pk=topic.pk)
post = Post.objects.get(pk=post.pk)
self.assertTrue(topic.es_already_indexed)
self.assertFalse(topic.es_flagged)
self.assertTrue(post.es_already_indexed)
self.assertFalse(post.es_flagged)
published = PublishedContent.objects.get(content_pk=tuto.pk)
self.assertTrue(published.es_already_indexed)
self.assertFalse(published.es_flagged)
s = Search()
s.query(MatchAll())
results = self.manager.setup_search(s).execute()
self.assertEqual(len(results), 4) # get 4 results, one of each type
must_contain = {
'post': False,
'topic': False,
'publishedcontent': False,
'chapter': False
}
id_must_be = {
'post': str(post.pk),
'topic': str(topic.pk),
'publishedcontent': str(published.pk),
'chapter': tuto.slug + '__' + chapter1.slug
}
for hit in results:
doc_type = hit.meta.doc_type
must_contain[doc_type] = True
self.assertEqual(hit.meta.id, id_must_be[doc_type])
self.assertTrue(all(must_contain))
# 2. Test what reindexation will do:
new_topic = TopicFactory(forum=self.forum, author=self.user)
new_post = PostFactory(topic=new_topic, author=self.user, position=1)
pk_of_topics_to_reindex = []
for item in Topic.get_es_indexable(force_reindexing=False):
pk_of_topics_to_reindex.append(item.pk)
pk_of_posts_to_reindex = []
for item in Post.get_es_indexable(force_reindexing=False):
pk_of_posts_to_reindex.append(item.pk)
self.assertTrue(topic.pk not in pk_of_topics_to_reindex)
self.assertTrue(new_topic.pk in pk_of_topics_to_reindex)
self.assertTrue(post.pk not in pk_of_posts_to_reindex)
self.assertTrue(new_post.pk in pk_of_posts_to_reindex)
for model in self.indexable: # ok, so let's index that
if model is FakeChapter:
continue
self.manager.es_bulk_indexing_of_model(model,
force_reindexing=False)
self.manager.refresh_index()
s = Search()
s.query(MatchAll())
results = self.manager.setup_search(s).execute()
self.assertEqual(len(results), 6) # good!
# 3. Test single deletion:
new_post = Post.objects.get(pk=new_post.pk)
self.manager.delete_document(new_post)
self.manager.refresh_index()
s = Search()
s.query(MatchAll())
results = self.manager.setup_search(s).execute()
self.assertEqual(len(results), 5) # one is missing
for hit in results:
self.assertTrue(hit.meta.doc_type != Post.get_es_document_type()
or hit.meta.id != new_post.es_id)
# 4. Test "delete_by_query_deletion":
topic = Topic.objects.get(pk=topic.pk)
new_topic = Topic.objects.get(pk=new_topic.pk)
self.manager.delete_by_query(Topic.get_es_document_type(),
MatchAll()) # the two topic are deleted
self.manager.refresh_index()
s = Search()
s.query(MatchAll())
results = self.manager.setup_search(s).execute()
self.assertEqual(len(results), 3)
for hit in results:
self.assertTrue(hit.meta.doc_type != Topic.get_es_document_type()
or hit.meta.id != new_topic.es_id)
self.assertTrue(hit.meta.doc_type != Topic.get_es_document_type()
or hit.meta.id != topic.es_id)
# 5. Test that the deletion of an object also triggers its deletion in ES
post = Post.objects.get(pk=post.pk)
post.delete()
self.manager.refresh_index()
s = Search()
s.query(MatchAll())
results = self.manager.setup_search(s).execute()
self.assertEqual(len(results), 2)
for hit in results:
self.assertTrue(hit.meta.doc_type != Post.get_es_document_type()
or hit.meta.id != post.es_id)
# 6. Test full desindexation:
for model in self.indexable:
if model is FakeChapter:
continue
self.manager.clear_indexing_of_model(model)
# note "topic" is gone since "post" is gone, due to relationships at the Django level
new_topic = Topic.objects.get(pk=new_topic.pk)
new_post = Post.objects.get(pk=new_post.pk)
self.assertFalse(new_topic.es_already_indexed)
self.assertTrue(new_topic.es_flagged)
self.assertFalse(new_post.es_already_indexed)
self.assertTrue(new_post.es_flagged)
published = PublishedContent.objects.get(content_pk=tuto.pk)
self.assertFalse(published.es_already_indexed)
self.assertTrue(published.es_flagged)
def test_special_case_of_contents(self):
"""test that the old publishedcontent does not stay when a new one is created"""
if not self.manager.connected_to_es:
return
# 1. Create a middle-tutorial, publish it, then index it
tuto = PublishableContentFactory(type='TUTORIAL')
tuto.authors.add(self.user)
tuto.save()
tuto_draft = tuto.load_version()
chapter1 = ContainerFactory(parent=tuto_draft, db_object=tuto)
ExtractFactory(container=chapter1, db_object=tuto)
published = publish_content(tuto, tuto_draft, is_major_update=True)
tuto.sha_public = tuto_draft.current_version
tuto.sha_draft = tuto_draft.current_version
tuto.public_version = published
tuto.save()
self.manager.es_bulk_indexing_of_model(PublishedContent,
force_reindexing=True) # index
self.manager.refresh_index()
first_publication = PublishedContent.objects.get(content_pk=tuto.pk)
self.assertTrue(first_publication.es_already_indexed)
self.assertFalse(first_publication.es_flagged)
s = Search()
s.query(MatchAll())
results = self.manager.setup_search(s).execute()
self.assertEqual(
len(results),
2) # get 2 results, one for the content and one for the chapter
self.assertEqual(PublishedContent.objects.count(), 1)
# 2. Change thet title, which will trigger a change in the slug
tuto = PublishableContent.objects.get(pk=tuto.pk)
versioned = tuto.load_version(sha=tuto.sha_draft)
tuto.title = u'un titre complètement différent!'
tuto.save()
versioned.repo_update_top_container(tuto.title, tuto.slug, u'osef',
u'osef')
second_publication = publish_content(tuto, versioned, True)
tuto.sha_public = versioned.current_version
tuto.sha_draft = versioned.current_version
tuto.public_version = second_publication
tuto.save()
self.assertEqual(PublishedContent.objects.count(),
2) # now there is two objects ...
first_publication = PublishedContent.objects.get(
pk=first_publication.pk)
self.assertTrue(first_publication.must_redirect
) # .. including the first one, for redirection
self.manager.refresh_index()
s = Search()
s.query(MatchAll())
results = self.manager.setup_search(s).execute()
self.assertEqual(
len(results), 0
) # the old one is gone (and we need to reindex to get the new one)
# 3. Check if indexation brings the new one, and not the old one
self.manager.es_bulk_indexing_of_model(PublishedContent,
force_reindexing=True) # index
self.manager.refresh_index()
first_publication = PublishedContent.objects.get(
pk=first_publication.pk)
second_publication = PublishedContent.objects.get(
pk=second_publication.pk)
s = Search()
s.query(MatchAll())
results = self.manager.setup_search(s).execute()
self.assertEqual(len(results), 2) # Still 2, not 4 !
found_old = False
found_new = False
for hit in results:
if hit.meta.doc_type == PublishedContent.get_es_document_type():
if hit.meta.id == first_publication.es_id:
found_old = True
if hit.meta.id == second_publication.es_id:
found_new = True
self.assertTrue(found_new)
self.assertFalse(found_old)
def test_change_publishedcontents_impacts_chapter(self):
if not self.manager.connected_to_es:
return
# 1. Create middle-size content and index it
text = 'test'
tuto = PublishableContentFactory(type='TUTORIAL')
tuto_draft = tuto.load_version()
tuto.title = text
tuto.authors.add(self.user)
tuto.save()
tuto_draft.repo_update_top_container(
text, tuto.slug, text,
text) # change title to be sure it will match
chapter1 = ContainerFactory(parent=tuto_draft, db_object=tuto)
chapter1.repo_update(text, text, text)
extract = ExtractFactory(container=chapter1, db_object=tuto)
extract.repo_update(text, text)
published = publish_content(tuto, tuto_draft, is_major_update=True)
tuto.sha_public = tuto_draft.current_version
tuto.sha_draft = tuto_draft.current_version
tuto.public_version = published
tuto.save()
self.manager.es_bulk_indexing_of_model(PublishedContent)
self.manager.refresh_index()
self.assertEqual(
len(
self.manager.setup_search(Search().query(
MatchAll())).execute()), 2) # indexing ok
result = self.client.get(reverse('search:query') + '?q=' + text +
'&models=content',
follow=False)
self.assertEqual(result.status_code, 200)
response = result.context['object_list'].execute()
self.assertEqual(response.hits.total, 2)
chapters = [r for r in response if r.meta.doc_type == 'chapter']
self.assertEqual(chapters[0].meta.doc_type,
FakeChapter.get_es_document_type())
self.assertEqual(chapters[0].meta.id,
published.content_public_slug + '__' + chapter1.slug)
# 2. Change tuto: delete chapter and insert new one !
tuto = PublishableContent.objects.get(pk=tuto.pk)
tuto_draft = tuto.load_version()
tuto_draft.children[0].repo_delete() # chapter 1 is gone !
another_text = 'another thing'
self.assertTrue(
text not in another_text
) # to prevent a future modification from breaking this test
chapter2 = ContainerFactory(parent=tuto_draft, db_object=tuto)
chapter2.repo_update(another_text, another_text, another_text)
extract2 = ExtractFactory(container=chapter2, db_object=tuto)
extract2.repo_update(another_text, another_text)
published = publish_content(tuto, tuto_draft, is_major_update=False)
tuto.sha_public = tuto_draft.current_version
tuto.sha_draft = tuto_draft.current_version
tuto.public_version = published
tuto.save()
self.manager.es_bulk_indexing_of_model(PublishedContent)
self.manager.refresh_index()
self.assertEqual(
len(
self.manager.setup_search(Search().query(
MatchAll())).execute()), 2) # 2 objects, not 3 !
result = self.client.get(reverse('search:query') + '?q=' + text +
'&models=content',
follow=False)
self.assertEqual(result.status_code, 200)
response = result.context['object_list'].execute()
contents = [r for r in response if r.meta.doc_type != 'chapter']
self.assertEqual(response.hits.total,
len(contents)) # no chapter found anymore
result = self.client.get(reverse('search:query') + '?q=' +
another_text + '&models=content',
follow=False)
self.assertEqual(result.status_code, 200)
response = result.context['object_list'].execute()
chapters = [r for r in response if r.meta.doc_type == 'chapter']
self.assertEqual(response.hits.total, 1)
self.assertEqual(chapters[0].meta.doc_type,
FakeChapter.get_es_document_type())
self.assertEqual(chapters[0].meta.id, published.content_public_slug +
'__' + chapter2.slug) # got new chapter
def search(self, search):
sort = None if search.sort is None else search.sort.translate()
if not search.words:
query = MatchAll()
else:
query = MultiMatch(query=search.words, fields=['title^10', 'content^5', 'description^5', 'location^3',
'category^2', 'organization', 'website'])
elastic_search = Search(index=self.index_name)\
.doc_type(StarDocument)\
.query(query)\
.highlight('content', fragment_size=50)
elastic_search = elastic_search[search.start:search.start + search.size]
# Filter results for type and ages
if search.types:
elastic_search = elastic_search.filter('terms', **{"type": search.types})
if search.ages:
elastic_search = elastic_search.filter('terms', **{"ages": search.ages})
# Filter results by date
if search.date:
elastic_search = elastic_search.filter('range', **{"date": {"gte": search.date}})
else:
elastic_search = elastic_search.filter('bool', **{"should": [
{"range": {"date": {"gte": datetime.datetime.now()}}}, # Future events OR
{"bool": {"must_not": {"exists": {"field": "date"}}}} # Date field is empty
]})
if sort is not None:
elastic_search = elastic_search.sort(sort)
if search.category and search.category.id:
elastic_search = elastic_search.filter('terms', category=[str(search.category.search_path())])
if search.category.calculate_level() == 0:
exclude = ".*\\,.*\\,.*";
include = str(search.category.id) + "\\,.*"
aggregation = A("terms", field='category', exclude=exclude, include=include)
elif search.category.calculate_level() == 1:
include = ".*\\,.*\\,.*";
aggregation = A("terms", field='category', include=include)
else:
aggregation = A("terms", field='category')
else:
aggregation = A("terms", field='category', exclude=".*\\,.*")
elastic_search.aggs.bucket('terms', aggregation)
elastic_search.aggs.bucket('type', A("terms", field='type'))
elastic_search.aggs.bucket('ages', A("terms", field='ages'))
# KEEPING FOR NOW - THESE WERE THE ORIGINAL FACETS WE HAD SET UP. WILL NEED TO CONVERT TO AGGREGATIONS
# IF WE WANT TO KEEP ANY OF THESE.
# 'Location': elasticsearch_dsl.TermsFacet(field='location'),
# 'Type': elasticsearch_dsl.TermsFacet(field='label'),
# 'Age Range': elasticsearch_dsl.TermsFacet(field='age_range'),
# 'Category': elasticsearch_dsl.TermsFacet(field='category'),
# 'Organization': elasticsearch_dsl.TermsFacet(field='organization'),
# 'Status': elasticsearch_dsl.TermsFacet(field='status'),
# 'Topic': elasticsearch_dsl.TermsFacet(field='topic'),
return elastic_search.execute()
def test_es_manager(self):
"""Test the behavior of the ``es_manager`` command"""
if not self.index_manager.connected_to_es:
return
# in the beginning: the void
self.assertTrue(self.index_manager.index not in self.index_manager.es.cat.indices())
text = 'Ceci est un texte de test'
# create a topic with a post
topic = TopicFactory(forum=self.forum, author=self.user, title=text)
post = PostFactory(topic=topic, author=self.user, position=1)
post.text = post.text_html = text
post.save()
topic = Topic.objects.get(pk=topic.pk)
post = Post.objects.get(pk=post.pk)
self.assertFalse(topic.es_already_indexed)
self.assertTrue(topic.es_flagged)
self.assertFalse(post.es_already_indexed)
self.assertTrue(post.es_flagged)
# create a middle-tutorial and publish it
tuto = PublishableContentFactory(type='TUTORIAL')
tuto.authors.add(self.user)
tuto.save()
tuto_draft = tuto.load_version()
chapter1 = ContainerFactory(parent=tuto_draft, db_object=tuto)
chapter1.repo_update(text, text, text)
extract1 = ExtractFactory(container=chapter1, db_object=tuto)
version = extract1.repo_update(text, text)
published = publish_content(tuto, tuto_draft, is_major_update=True)
tuto.sha_public = version
tuto.sha_draft = version
tuto.public_version = published
tuto.save()
published = PublishedContent.objects.get(content_pk=tuto.pk)
self.assertFalse(published.es_already_indexed)
self.assertTrue(published.es_flagged)
# 1. test "index-all"
call_command('es_manager', 'index_all')
self.assertTrue(self.index_manager.es.indices.exists(self.index_manager.index))
self.index_manager.index_exists = True
topic = Topic.objects.get(pk=topic.pk)
post = Post.objects.get(pk=post.pk)
self.assertTrue(topic.es_already_indexed)
self.assertFalse(topic.es_flagged)
self.assertTrue(post.es_already_indexed)
self.assertFalse(post.es_flagged)
published = PublishedContent.objects.get(content_pk=tuto.pk)
self.assertTrue(published.es_already_indexed)
self.assertFalse(published.es_flagged)
s = Search()
s.query(MatchAll())
results = self.index_manager.setup_search(s).execute()
self.assertEqual(len(results), 4) # get 4 results, one of each type
must_contain = {'post': False, 'topic': False, 'publishedcontent': False, 'chapter': False}
id_must_be = {
'post': str(post.pk),
'topic': str(topic.pk),
'publishedcontent': str(published.pk),
'chapter': tuto.slug + '__' + chapter1.slug
}
for hit in results:
doc_type = hit.meta.doc_type
must_contain[doc_type] = True
self.assertEqual(hit.meta.id, id_must_be[doc_type])
self.assertTrue(all(must_contain))
# 2. test "clear"
self.assertTrue(self.index_manager.index in self.index_manager.es.cat.indices()) # index in
call_command('es_manager', 'clear')
self.assertFalse(self.index_manager.es.indices.exists(self.index_manager.index))
self.index_manager.index_exists = False
# must reset every object
topic = Topic.objects.get(pk=topic.pk)
post = Post.objects.get(pk=post.pk)
self.assertFalse(topic.es_already_indexed)
self.assertTrue(topic.es_flagged)
self.assertFalse(post.es_already_indexed)
self.assertTrue(post.es_flagged)
published = PublishedContent.objects.get(content_pk=tuto.pk)
self.assertFalse(published.es_already_indexed)
self.assertTrue(published.es_flagged)
self.assertTrue(self.index_manager.index not in self.index_manager.es.cat.indices()) # index wiped out !
# 3. test "setup"
call_command('es_manager', 'setup')
self.assertTrue(self.index_manager.es.indices.exists(self.index_manager.index))
self.index_manager.index_exists = True
self.assertTrue(self.index_manager.index in self.index_manager.es.cat.indices()) # index back in ...
s = Search()
s.query(MatchAll())
results = self.index_manager.setup_search(s).execute()
self.assertEqual(len(results), 0) # ... but with nothing in it
result = self.index_manager.es.indices.get_settings(index=self.index_manager.index)
settings_index = result[self.index_manager.index]['settings']['index']
self.assertTrue('analysis' in settings_index) # custom analyzer was setup
# 4. test "index-flagged" once ...
call_command('es_manager', 'index_flagged')
topic = Topic.objects.get(pk=topic.pk)
post = Post.objects.get(pk=post.pk)
self.assertTrue(topic.es_already_indexed)
self.assertFalse(topic.es_flagged)
self.assertTrue(post.es_already_indexed)
self.assertFalse(post.es_flagged)
published = PublishedContent.objects.get(content_pk=tuto.pk)
self.assertTrue(published.es_already_indexed)
self.assertFalse(published.es_flagged)
s = Search()
s.query(MatchAll())
results = self.index_manager.setup_search(s).execute()
self.assertEqual(len(results), 4) # get the 4 results back
def get_targets(self, es):
for target in Search().using(es).index(self.es_index_gene).extra(
track_total_hits=True).query(MatchAll()).scan():
yield target.to_dict()
def get_targets(self, es):
for target in Search().using(es).index(self.es_index_gene).query(
MatchAll()).params(scroll='4h').scan():
yield str(target.meta.id)
def evaluate_score(student, client, num_resp: int = 25):
"""Takes a student, represented as a dictionary and an elasticsearch-py client and returns an elastic response
See above student class for schema
"""
# Adjust weights here:
base_score = 1.0
company_score = 1.0
rural_score = 2.0
tags_score = 3.0
underrep_score = 1.0
# Timezone weights are found in the timezone script query
s = elasticsearch_dsl.Search(using=client,
index="mentors_index").extra(explain=True)
# Start by filtering the search by track
s = s.filter("term", track=student["track"])
# And also by requireExtended
if student["requireExtended"]:
s = s.filter("term", okExtended="true")
if not student["underrepresented"]:
s = s.exclude("term", preferStudentUnderRep=2)
# Adds one to all remaining entries in order to be sure that, in the worst case,
# there are enough responses, even if they aren't a good fit
base_value = Q("constant_score", filter=MatchAll(), boost=base_score)
# Uses a fuzzy query to determine if a student is interested in the mentor's company,
# then if so adds `weight` to the score
company_q = None
for company in student["interestCompanies"]:
if company_q is None:
company_q = Q(
"function_score",
query=Q("fuzzy", company=company),
weight=company_score,
boost_mode="replace",
)
else:
company_q = company_q | Q(
"function_score",
query=Q("fuzzy", company=company),
weight=company_score,
boost_mode="replace",
)
if student["rural"]:
# If background_rural matches on mentor and student, then add one to the score
background_rural = Q("constant_score",
filter=Q("term",
backgroundRural=student["rural"]),
boost=rural_score)
else:
background_rural = Q("constant_score", filter=MatchNone())
# Adds `weight` * the number of matching tags to score
tags_matching = None
num_interests = len(student["interestTags"])
for interest in student["interestTags"]:
if tags_matching is None:
tags_matching = Q(
"function_score",
query=Q("term", proj_tags=interest),
weight=tags_score / num_interests,
boost_mode="replace",
)
else:
tags_matching = tags_matching | Q(
"function_score",
query=Q("term", proj_tags=interest),
weight=tags_score / num_interests,
boost_mode="replace",
)
combined_query = (
base_value
| tags_matching
| company_q
| background_rural
# | prefer_student_underrep
)
# Decay the combined score based on the number of students who already voted for that
combined_query = Q("function_score",
query=combined_query,
functions=SF("gauss",
numStudentsSelected={
"origin": 0,
"scale": 3,
"offset": 3,
"decay": 0.50
}))
# Timezone - this one's a bit more complex. See comments in script for more details.
# Multiplies it's value by the previous scores, allowing it to reduce, set to zero, and increase scores.
# See below string for python implementation
"""
if mentor['okTimezoneDifference']:
if 16 < student['timezone'] < 22:
return True
return false
else:
if abs(student['timezone'] - mentor['timezone']) < 3:
return True
return False
"""
s = s.query(combined_query)[0:num_resp]
resp = s.execute()
return resp
def get_diseases(self, es):
for disease in Search().using(es).index(self.es_index_efo).query(
MatchAll()).scan():
yield disease.to_dict()
def search(self, search):
sort = None if search.sort is None else search.sort.translate()
if not search.words:
query = MatchAll()
else:
query = MultiMatch(query=search.words, fields=['content'])
elastic_search = Search(index=self.index_name)\
.doc_type(StarDocument)\
.query(query)\
.highlight('content', type='unified', fragment_size=150)
elastic_search = elastic_search[search.start:search.start +
search.size]
# Filter results for type, ages, and languages
if search.types:
elastic_search = elastic_search.filter('terms',
**{"type": search.types})
if search.ages:
elastic_search = elastic_search.filter('terms',
**{"ages": search.ages})
if search.languages:
elastic_search = elastic_search.filter(
'terms', **{"languages": search.languages})
# Filter results by date
if search.date:
elastic_search = elastic_search.filter(
'range', **{"date": {
"gte": search.date
}})
else:
elastic_search = elastic_search.filter(
'bool',
**{
"should": [
{
"range": {
"date": {
"gte": datetime.datetime.utcnow()
}
}
}, # Future events OR
{
"bool": {
"must_not": {
"exists": {
"field": "date"
}
}
}
} # Date field is empty
]
})
if sort is not None:
elastic_search = elastic_search.sort(sort)
if 'user' in g and g.user:
if Permission.edit_resource not in g.user.role.permissions():
elastic_search = elastic_search.filter(
Q('bool', must_not=[Q('match', is_draft=True)]))
else:
elastic_search = elastic_search.filter(
Q('bool', must_not=[Q('match', is_draft=True)]))
if search.category and search.category.id:
elastic_search = elastic_search.filter(
'terms', category=[str(search.category.search_path())])
if search.category.calculate_level() == 0:
exclude = ".*\\,.*\\,.*"
include = str(search.category.id) + "\\,.*"
aggregation = A("terms",
field='category',
exclude=exclude,
include=include,
size=25)
elif search.category.calculate_level() == 1:
include = ".*\\,.*\\,.*"
aggregation = A("terms",
field='category',
include=include,
size=25)
else:
aggregation = A("terms", field='category', size=25)
else:
aggregation = A("terms",
field='category',
exclude=".*\\,.*",
size=25)
elastic_search.aggs.bucket('terms', aggregation)
elastic_search.aggs.bucket('type', A("terms", field='type'))
elastic_search.aggs.bucket('ages', A("terms", field='ages'))
elastic_search.aggs.bucket('languages', A("terms", field='languages'))
# KEEPING FOR NOW - THESE WERE THE ORIGINAL FACETS WE HAD SET UP. WILL NEED TO CONVERT TO AGGREGATIONS
# IF WE WANT TO KEEP ANY OF THESE.
# 'Location': elasticsearch_dsl.TermsFacet(field='location'),
# 'Type': elasticsearch_dsl.TermsFacet(field='label'),
# 'Age Range': elasticsearch_dsl.TermsFacet(field='age_range'),
# 'Category': elasticsearch_dsl.TermsFacet(field='category'),
# 'Organization': elasticsearch_dsl.TermsFacet(field='organization'),
# 'Status': elasticsearch_dsl.TermsFacet(field='status'),
# 'Topic': elasticsearch_dsl.TermsFacet(field='topic'),
return elastic_search.execute()
from elasticsearch import Elasticsearch
from elasticsearch_dsl import Search
from elasticsearch_dsl.query import Range, MatchAll, Term, Terms, Match, MatchPhrase, MultiMatch, QueryString, Bool, \
FunctionScore
from elasticsearch_dsl.function import FieldValueFactor, Exp, RandomScore
import json
from pprint import pprint
client = Elasticsearch(['127.0.0.1:9300'])
search = (Search(using=client, index='resource').query(MatchAll()).source(
['title', 'available_from_date']).sort('-available_from_date'))
(search.aggs.bucket('organizations', 'terms',
field='resource_organization').metric(
'views_per_month_stats',
'stats',
field='views_per_month'))
print('Search Body:')
pprint(search.to_dict())
print(json.dumps(search.to_dict()))
response = search.execute()
print(response)
for hit in response:
print(hit.meta.score, hit.title)
for org in response.aggregations.organizations.buckets:
print(org.key, org.doc_count, org.views_per_month_stats.to_dict())
def test_basic_search(self):
"""Basic search and filtering"""
if not self.manager.connected_to_es:
return
# 1. Index and test search:
text = 'test'
topic_1 = TopicFactory(forum=self.forum, author=self.user, title=text)
post_1 = PostFactory(topic=topic_1, author=self.user, position=1)
post_1.text = post_1.text_html = text
post_1.save()
# create a middle-size content and publish it
tuto = PublishableContentFactory(type='TUTORIAL')
tuto_draft = tuto.load_version()
tuto.title = text
tuto.authors.add(self.user)
tuto.save()
tuto_draft.repo_update_top_container(
text, tuto.slug, text,
text) # change title to be sure it will match
chapter1 = ContainerFactory(parent=tuto_draft, db_object=tuto)
extract = ExtractFactory(container=chapter1, db_object=tuto)
extract.repo_update(text, text)
published = publish_content(tuto, tuto_draft, is_major_update=True)
tuto.sha_public = tuto_draft.current_version
tuto.sha_draft = tuto_draft.current_version
tuto.public_version = published
tuto.save()
# nothing has been indexed yet:
self.assertEqual(
len(
self.manager.setup_search(Search().query(
MatchAll())).execute()), 0)
# index
for model in self.indexable:
if model is FakeChapter:
continue
self.manager.es_bulk_indexing_of_model(model)
self.manager.refresh_index()
result = self.client.get(reverse('search:query') + '?q=' + text,
follow=False)
self.assertEqual(result.status_code, 200)
response = result.context['object_list'].execute()
self.assertEqual(response.hits.total, 4) # get 4 results
# 2. Test filtering:
topic_1 = Topic.objects.get(pk=topic_1.pk)
post_1 = Post.objects.get(pk=post_1.pk)
published = PublishedContent.objects.get(pk=published.pk)
ids = {
'topic': [topic_1.es_id],
'post': [post_1.es_id],
'content': [
published.es_id,
published.content_public_slug + '__' + chapter1.slug
],
}
search_groups = [
k for k, v in settings.ZDS_APP['search']['search_groups'].items()
]
group_to_model = {
k: v[1]
for k, v in settings.ZDS_APP['search']['search_groups'].items()
}
for doc_type in search_groups:
result = self.client.get(reverse('search:query') + '?q=' + text +
'&models=' + doc_type,
follow=False)
self.assertEqual(result.status_code, 200)
response = result.context['object_list'].execute()
self.assertEqual(response.hits.total,
len(ids[doc_type])) # get 1 result of each …
for i, r in enumerate(response):
self.assertIn(
r.meta.doc_type,
group_to_model[doc_type]) # … and only of the right type …
self.assertEqual(r.meta.id,
ids[doc_type][i]) # … with the right id !
def get_diseases(self, es):
for disease in Search().using(es).index(self.es_index_efo).extra(
track_total_hits=True).query(MatchAll()).scan():
yield disease.to_dict()
def test_change_topic_impacts_posts(self):
if not self.manager.connected_to_es:
return
# 1. Create a hidden forum belonging to a hidden group and add staff in it.
text = 'test'
group = Group.objects.create(name='Les illuminatis anonymes de ZdS')
_, hidden_forum = create_category(group)
self.staff.groups.add(group)
self.staff.save()
# 2. Create a normal topic and index it
topic_1 = TopicFactory(forum=self.forum, author=self.user, title=text)
post_1 = PostFactory(topic=topic_1, author=self.user, position=1)
post_1.text = post_1.text_html = text
post_1.save()
self.manager.es_bulk_indexing_of_model(Topic)
self.manager.es_bulk_indexing_of_model(Post)
self.manager.refresh_index()
self.assertEqual(
len(
self.manager.setup_search(Search().query(
MatchAll())).execute()), 2) # indexing ok
result = self.client.get(reverse('search:query') + '?q=' + text +
'&models=' + Post.get_es_document_type(),
follow=False)
self.assertEqual(result.status_code, 200)
response = result.context['object_list'].execute()
self.assertEqual(response.hits.total, 1) # ok
self.assertEqual(response[0].meta.doc_type,
Post.get_es_document_type())
self.assertEqual(response[0].forum_pk, self.forum.pk)
self.assertEqual(response[0].topic_pk, topic_1.pk)
self.assertEqual(response[0].topic_title, topic_1.title)
# 3. Change topic title and reindex
topic_1.title = 'new title'
topic_1.save()
self.manager.es_bulk_indexing_of_model(Topic)
self.manager.es_bulk_indexing_of_model(Post)
self.manager.refresh_index()
result = self.client.get(reverse('search:query') + '?q=' + text +
'&models=' + Post.get_es_document_type(),
follow=False)
self.assertEqual(result.status_code, 200)
response = result.context['object_list'].execute()
self.assertEqual(response.hits.total, 1) # ok
self.assertEqual(response[0].topic_title,
topic_1.title) # title was changed
# 4. connect with staff and move topic
self.assertTrue(
self.client.login(username=self.staff.username,
password='******'))
data = {'move': '', 'forum': hidden_forum.pk, 'topic': topic_1.pk}
response = self.client.post(reverse('topic-edit'), data, follow=False)
self.assertEqual(302, response.status_code)
self.manager.es_bulk_indexing_of_model(Topic)
self.manager.es_bulk_indexing_of_model(Post)
self.manager.refresh_index()
result = self.client.get(reverse('search:query') + '?q=' + text +
'&models=' + Post.get_es_document_type(),
follow=False)
self.assertEqual(result.status_code, 200)
response = result.context['object_list'].execute()
self.assertEqual(
response.hits.total,
1) # Note: without staff, would not get any results (see below)
self.assertEqual(response[0].forum_pk,
hidden_forum.pk) # post was updated with new forum
# 5. Topic is now hidden
self.client.logout()
result = self.client.get(reverse('search:query') + '?q=' + text +
'&models=' + Post.get_es_document_type(),
follow=False)
self.assertEqual(result.status_code, 200)
response = result.context['object_list'].execute()
self.assertEqual(response.hits.total, 0) # ok
def all(cls):
p = cls.search()
p.query = MatchAll()
return p.execute()
def test_upercase_and_lowercase_search_give_same_results(self):
"""Pretty self-explanatory function name, isn't it ?"""
if not self.manager.connected_to_es:
return
# 1. Index lowercase stuffs
text_lc = 'test'
topic_1_lc = TopicFactory(forum=self.forum,
author=self.user,
title=text_lc)
tag_lc = TagFactory(title=text_lc)
topic_1_lc.tags.add(tag_lc)
topic_1_lc.subtitle = text_lc
topic_1_lc.save()
post_1_lc = PostFactory(topic=topic_1_lc, author=self.user, position=1)
post_1_lc.text = post_1_lc.text_html = text_lc
post_1_lc.save()
tuto_lc = PublishableContentFactory(type='TUTORIAL')
tuto_draft_lc = tuto_lc.load_version()
tuto_lc.title = text_lc
tuto_lc.authors.add(self.user)
subcategory_lc = SubCategoryFactory(title=text_lc)
tuto_lc.subcategory.add(subcategory_lc)
tuto_lc.tags.add(tag_lc)
tuto_lc.save()
tuto_draft_lc.description = text_lc
tuto_draft_lc.repo_update_top_container(text_lc, tuto_lc.slug, text_lc,
text_lc)
chapter1_lc = ContainerFactory(parent=tuto_draft_lc, db_object=tuto_lc)
extract_lc = ExtractFactory(container=chapter1_lc, db_object=tuto_lc)
extract_lc.repo_update(text_lc, text_lc)
published_lc = publish_content(tuto_lc,
tuto_draft_lc,
is_major_update=True)
tuto_lc.sha_public = tuto_draft_lc.current_version
tuto_lc.sha_draft = tuto_draft_lc.current_version
tuto_lc.public_version = published_lc
tuto_lc.save()
# 2. Index uppercase stuffs
text_uc = 'TEST'
topic_1_uc = TopicFactory(forum=self.forum,
author=self.user,
title=text_uc)
topic_1_uc.tags.add(
tag_lc) # Note: a constraint forces tags title to be unique
topic_1_uc.subtitle = text_uc
topic_1_uc.save()
post_1_uc = PostFactory(topic=topic_1_uc, author=self.user, position=1)
post_1_uc.text = post_1_uc.text_html = text_uc
post_1_uc.save()
tuto_uc = PublishableContentFactory(type='TUTORIAL')
tuto_draft_uc = tuto_uc.load_version()
tuto_uc.title = text_uc
tuto_uc.authors.add(self.user)
tuto_uc.subcategory.add(subcategory_lc)
tuto_uc.tags.add(tag_lc)
tuto_uc.save()
tuto_draft_uc.description = text_uc
tuto_draft_uc.repo_update_top_container(text_uc, tuto_uc.slug, text_uc,
text_uc)
chapter1_uc = ContainerFactory(parent=tuto_draft_uc, db_object=tuto_uc)
extract_uc = ExtractFactory(container=chapter1_uc, db_object=tuto_uc)
extract_uc.repo_update(text_uc, text_uc)
published_uc = publish_content(tuto_uc,
tuto_draft_uc,
is_major_update=True)
tuto_uc.sha_public = tuto_draft_uc.current_version
tuto_uc.sha_draft = tuto_draft_uc.current_version
tuto_uc.public_version = published_uc
tuto_uc.save()
# 3. Index and search:
self.assertEqual(
len(
self.manager.setup_search(Search().query(
MatchAll())).execute()), 0)
# index
for model in self.indexable:
if model is FakeChapter:
continue
self.manager.es_bulk_indexing_of_model(model)
self.manager.refresh_index()
result = self.client.get(reverse('search:query') + '?q=' + text_lc,
follow=False)
self.assertEqual(result.status_code, 200)
response_lc = result.context['object_list'].execute()
self.assertEqual(response_lc.hits.total, 8)
result = self.client.get(reverse('search:query') + '?q=' + text_uc,
follow=False)
self.assertEqual(result.status_code, 200)
response_uc = result.context['object_list'].execute()
self.assertEqual(response_uc.hits.total, 8)
for responses in zip(
response_lc,
response_uc): # we should get results in the same order!
self.assertEqual(responses[0].meta.id, responses[1].meta.id)
from elasticsearch import Elasticsearch
from elasticsearch_dsl import Search, Q
from elasticsearch_dsl.query import Type, HasChild, MatchAll
from config import *
es = Elasticsearch(host=host, timeout=120)
q_parent = Type(value='auditd-parent')
q_has_child = HasChild(type='auditd-child', query=MatchAll(),
inner_hits={"sort": {"@timestamp": "asc"}, 'size': 100})
search = Search(using=es, index=index).sort({"@timestamp": {"order": "asc"}})
search.query = Q((q_has_child | (q_parent & ~q_has_child)))
def scan(n=10, verbose=False):
i = 0
aggs = dict()
for hit in search.scan():
aggs.setdefault(hit.ses, [])
aggs[hit.ses].append((hit, hit.meta.inner_hits['auditd-child'].hits.hits))
if i % 1000 == 0 and verbose:
print str(round(100*i/float(n), 2)) + "%"
if i > n:
break
i += 1
return aggs
