def __generate_topic_and_post(cli, fake, nb_avg_posts_in_topic, nb_topics, nb_users, topics, tps1):
profiles = list(Profile.objects.all())
for topic_index in range(0, nb_topics):
nb_posts = randint(0, nb_avg_posts_in_topic * 2) + 1
for post_index in range(1, nb_posts):
post = PostFactory(
topic=topics[topic_index], author=profiles[post_index % nb_users].user, position=post_index + 1
)
post.text = fake.paragraph(nb_sentences=5, variable_nb_sentences=True)
post.text_html = emarkdown(post.text)
post.is_useful = int(nb_posts * 0.3) > 0 and post_index % int(nb_posts * 0.3) == 0
post.save()
sys.stdout.write(f" Topic {topic_index + 1}/{nb_topics} \tPost {post_index + 1}/{nb_posts} \r")
sys.stdout.flush()
tps2 = time.time()
cli.stdout.write(f"\nFait en {tps2 - tps1} sec")
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