def load_topics(cli, size, fake):
"""
Load topics
"""
nb_topics = size * 10
cli.stdout.write(u"Nombres de Topics à créer : {}".format(nb_topics))
tps1 = time.time()
nb_forums = Forum.objects.count()
if nb_forums == 0:
cli.stdout.write(
u"Il n'y a aucun forum actuellement. "
u"Vous devez rajouter les forums dans vos fixtures (forum)")
else:
forums = list(Forum.objects.all())
nb_users = User.objects.count()
if nb_users == 0:
cli.stdout.write(
u"Il n'y a aucun membre actuellement. "
u"Vous devez rajouter les membres dans vos fixtures (member)")
else:
profiles = list(Profile.objects.all())
nb_tags = Tag.objects.count()
if nb_tags == 0:
cli.stdout.write(
u"Il n'y a aucun tag actuellement. "
u"Vous devez rajouter les tags dans vos fixtures (tag)")
else:
for i in range(0, nb_topics):
topic = TopicFactory(forum=forums[i % nb_forums],
author=profiles[i % nb_users].user)
if i % 5 == 0:
topic.is_solved = True
if i % 10 == 0:
topic.is_locked = True
if i % 15 == 0:
topic.is_sticky = True
nb_rand_tags = random.randint(0, 5)
for k in range(0, nb_rand_tags):
my_random_tag = Tag.objects.filter(
pk=random.randint(1, nb_tags)).first()
if my_random_tag:
topic.tags.add(my_random_tag)
topic.title = fake.text(max_nb_chars=80)
topic.subtitle = fake.text(max_nb_chars=200)
topic.save()
PostFactory(topic=topic, author=topic.author, position=1)
sys.stdout.write(" Topic {}/{} \r".format(
i + 1, nb_topics))
sys.stdout.flush()
tps2 = time.time()
cli.stdout.write(u"\nFait en {} sec".format(tps2 - tps1))
def load_topics(cli, size, fake, *_, **__):
"""
Load topics
"""
nb_topics = size * 10
cli.stdout.write("Nombres de Topics à créer : {}".format(nb_topics))
tps1 = time.time()
nb_forums = Forum.objects.count()
if nb_forums == 0:
cli.stdout.write(
"Il n'y a aucun forum actuellement. "
"Vous devez rajouter les forums dans vos fixtures (forum)")
return
forums = list(Forum.objects.all())
nb_users = User.objects.count()
if nb_users == 0:
cli.stdout.write(
"Il n'y a aucun membre actuellement. "
"Vous devez rajouter les membres dans vos fixtures (member)")
return
profiles = list(Profile.objects.all())
nb_tags = Tag.objects.count()
if nb_tags == 0:
cli.stdout.write(
"Il n'y a aucun tag actuellement. "
"Vous devez rajouter les tags dans vos fixtures (tag)")
return
for i in range(0, nb_topics):
with contextlib.suppress(IntegrityError):
topic = TopicFactory(forum=forums[i % nb_forums],
author=profiles[i % nb_users].user)
topic.solved_by = profiles[i % nb_users].user if i % 5 else None
topic.is_locked = i % 10 == 0
topic.is_sticky = i % 15 == 0
nb_rand_tags = random.randint(0, 5)
add_generated_tags_to_topic(nb_rand_tags, nb_tags, topic)
topic.title = fake.text(max_nb_chars=80)
topic.subtitle = fake.text(max_nb_chars=200)
topic.save()
PostFactory(topic=topic, author=topic.author, position=1)
sys.stdout.write(" Topic {}/{} \r".format(i + 1, nb_topics))
sys.stdout.flush()
tps2 = time.time()
cli.stdout.write("\nFait en {} sec".format(tps2 - tps1))
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.is_solved = True
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_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