def delete_by_query(self, doc_type='', query=MatchAll()):
"""Perform a deletion trough the ``_delete_by_query`` API.
See https://www.elastic.co/guide/en/elasticsearch/reference/current/docs-delete-by-query.html
.. attention ::
Call to this function must be done with great care!
:param doc_type: the document type
:type doc_type: str
:param query: the query to match all document to be deleted
:type query: elasticsearch_dsl.query.Query
"""
if not self.connected_to_es:
return
if not self.index_exists:
raise NeedIndex()
response = self.es.delete_by_query(index=self.index,
doc_type=doc_type,
body={'query': query})
self.logger.info('delete_by_query {}s ({})'.format(
doc_type, response['deleted']))
def qc(self, es, index):
self.logger.info("Starting QC")
#number of EFO terms
efo_term_count = 0
#top level terms (i.e. categories)
efo_top_levels = []
#terms without a description
efo_missing_description_count = 0
#loop over all efo terms and calculate the metrics
#Note: try to avoid doing this more than once!
for efo_term in Search().using(es).index(index).query(MatchAll()).scan():
efo_term_count += 1
#path_labels is a list of lists of all paths to the root
#top level terms will be those with one list of one item that is itself
if len(efo_term["path_labels"]) == 1:
if len(efo_term["path_labels"][0]) == 1:
efo_top_levels.append(efo_term["label"])
if efo_term["definition"] == None or len(efo_term["definition"].strip()) == 0:
efo_missing_description_count += 1
#put the metrics into a single dict
metrics = dict()
metrics["efo.count"] = efo_term_count
metrics["efo.top"] = sorted(efo_top_levels)
metrics["efo.top.count"] = len(efo_top_levels)
metrics["efo.missing_description.count"] = efo_missing_description_count
#return the metrics to the caller so they can write to file or further compare
self.logger.info("Finished QC")
return metrics
def make_query(query, filters, page, sort_by):
try:
client = Elasticsearch()
s = Search(client, index=app.config['INDEX'])
if query:
s = s.query(QueryString(query=escape_query(query)))
if not sort_by:
sort_by = "relevance"
else:
s = s.query(MatchAll())
if not sort_by:
sort_by = DEFAULT_SORT_BY
s = s.sort(SORT_BY.get(sort_by, DEFAULT_SORT_BY)['value'])
start = (page - 1) * 20
end = start + 20
s = s[start:end]
if filters:
s = s.filter('bool', must=filters)
result = s.execute()
return result
except ConnectionError, ex:
return None
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_and_forum(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.client.force_login(self.user)
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.client.force_login(self.staff)
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 scan(cls):
"""
Return a list of all documents within this index.
:return: Generator that will yield every document (as a list... kinda)
"""
scan_request = cls._index.search().query(MatchAll())
response = scan_request.scan()
return response
async def test_delete(index_name):
assert await Search(index=index_name).count() == 3
await Search(index=index_name).query('term', value=1).params(refresh=True).delete()
assert await Search(index=index_name).count() == 2
await Search(index=index_name).query(MatchAll()).params(refresh=True).delete()
assert await Search(index=index_name).count() == 0
def qc(self, es, index):
#number of gene entries
gene_count = 0
#Note: try to avoid doing this more than once!
for gene_entry in Search().using(es).index(index).query(MatchAll()).scan():
gene_count += 1
#put the metrics into a single dict
metrics = dict()
metrics["gene.count"] = gene_count
return metrics
def qc(self, es, index):
self.logger.info("Starting QC")
#number of reactions
reaction_count = 0
#Note: try to avoid doing this more than once!
for _ in Search().using(es).index(index).query(MatchAll()).scan():
reaction_count += 1
#put the metrics into a single dict
metrics = dict()
metrics["reactome.count"] = reaction_count
self.logger.info("Finished QC")
return metrics
def qc(self, es, index):
#number of eco entries
association_count = 0
#Note: try to avoid doing this more than once!
for association in Search().using(es).index(index).query(MatchAll()).scan():
association_count += 1
if association_count % 1000 == 0:
self.logger.debug("checking %d", association_count)
#put the metrics into a single dict
metrics = dict()
metrics["association.count"] = association_count
return metrics
def test_hidden_post_are_not_result(self):
"""Hidden posts should not show up in the search results"""
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()
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
post_1 = Post.objects.get(pk=post_1.pk)
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)
self.assertEqual(response[0].meta.id, post_1.es_id)
# 2. Hide, reindex and search again:
post_1.hide_comment_by_user(self.staff,
'Un abus de pouvoir comme un autre ;)')
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, 0) # nothing in the results
def qc(self, es, index):
self.logger.info("Starting QC")
#number of hpa entries
hpa_count = 0
#Note: try to avoid doing this more than once!
for hpa_entry in Search().using(es).index(index).query(
MatchAll()).scan():
hpa_count += 1
#put the metrics into a single dict
metrics = dict()
metrics["hpa.count"] = hpa_count
self.logger.info("Finished QC")
return metrics
def merge_data(self, genes, es, r_server, data_config, es_config):
index = es_config.ens.name
for row in Search().using(es).index(index).query(MatchAll()).scan():
gene = None
if row['id'] in genes:
gene = genes.get_gene(row['id'])
else:
gene = Gene()
self.load_ensembl_data(gene, row)
genes.add_gene(gene)
self._clean_non_reference_genes(genes)
self._logger.info("STATS AFTER ENSEMBL PARSING:\n" + genes.get_stats())
def qc(self, es, index):
"""
Run a series of QC tests on the Ensembl Elasticsearch index. Returns a dictionary
of string test names and result objects
"""
self.logger.info("Starting QC")
# number of genes
ensembl_count = 0
# Note: try to avoid doing this more than once!
for e in Search().using(es).index(index).query(MatchAll()).scan():
ensembl_count += 1
# put the metrics into a single dict
metrics = dict()
metrics["ensembl.count"] = ensembl_count
self.logger.info("Finished QC")
return metrics
def qc(self, es, index):
"""Run a series of QC tests on EFO elasticsearch index. Returns a dictionary
of string test names and result objects
"""
self.logger.info("Starting QC")
#number of uniprot entries
uniprot_count = 0
#Note: try to avoid doing this more than once!
for unprot_entry in Search().using(es).index(index).query(MatchAll()).scan():
uniprot_count += 1
if uniprot_count % 1000 == 0:
self.logger.debug("QC of %d uniprot entries", uniprot_count)
#put the metrics into a single dict
metrics = dict()
metrics["uniprot.count"] = uniprot_count
self.logger.info("Finished QC")
return metrics
def merge_data(self, genes, es, r_server, data_config, es_config):
index = es_config.uni.name
reactome_retriever = ReactomeRetriever(es, es_config.rea.name)
c = 0
for seqrec in Search().using(es).index(index).query(MatchAll()).scan():
#these are base 64 encoded json - need to decode
#TODO access the source directly
seqrec = jsonpickle.decode(base64.b64decode(seqrec['entry']))
c += 1
if c % 1000 == 0:
self._logger.info("%i entries retrieved for uniprot" % c)
if 'Ensembl' in seqrec.annotations['dbxref_extended']:
ensembl_data = seqrec.annotations['dbxref_extended']['Ensembl']
ensembl_genes_id = []
for ens_data_point in ensembl_data:
ensembl_genes_id.append(ens_data_point['value']['gene ID'])
ensembl_genes_id = list(set(ensembl_genes_id))
success = False
for ensembl_id in ensembl_genes_id:
if ensembl_id in genes:
gene = genes.get_gene(ensembl_id)
self.load_uniprot_entry(gene, seqrec,
reactome_retriever)
genes.add_gene(gene)
success = True
break
if not success:
self._logger.debug(
'Cannot find ensembl id(s) %s coming from uniprot entry %s in available geneset'
% (ensembl_genes_id, seqrec.id))
else:
self.missing_ensembl.add(seqrec.id)
for reactome_id in sorted(self.missing_reactome):
self._logger.warning("Unable to find reactome for %s", reactome_id)
for uniprot_id in sorted(self.missing_ensembl):
self._logger.warning("Unable to find ensemble for %s", uniprot_id)
self._logger.info("%i entries retrieved for uniprot" % c)
def _build_term_query(term, fields=None):
"""Builds a term query."""
if term == '':
return MatchAll()
should_query = [
# Promote exact name match
Match(**{'name.keyword': {
'query': term,
'boost': 2
}}),
# Cross match fields
MultiMatch(
query=term,
fields=fields,
type='cross_fields',
operator='and',
),
]
return Bool(should=should_query)
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_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_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 = 'un titre complètement différent!'
tuto.save()
versioned.repo_update_top_container(tuto.title, tuto.slug, 'osef', '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_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 all(cls):
p = cls.search()
p.query = MatchAll()
return p.execute()
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_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 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 = u'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 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_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 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 get_targets(self, es):
for target in Search().using(es).index(self.es_index_gene).query(MatchAll()).scan():
yield str(target.meta.id)
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)
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:
if set(search.types) == {'resource'}:
# Include past events in resource search results
search.types.append('event')
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})
if set(search.types) == {'resource', 'event'}:
# Include past events in resource search results
elastic_search = elastic_search.filter(
'bool',
**{
"should": [
self._past_events_filter(), # Past events OR
self._non_events_filter(), # Date field is empty
]
})
elif search.date:
# Filter results by date
elastic_search = elastic_search.filter(
'range', **{"date": {
"gte": _start_of_day(search.date)
}})
elif set(search.types) == {'event'}:
elastic_search = elastic_search.filter(
'bool', **{"should": self._future_events_filter()})
else:
elastic_search = elastic_search.filter(
'bool', **{"should": self._default_filter()})
if search.geo_box:
elastic_search = elastic_search.filter(
'geo_bounding_box', **{
"geo_point": {
"top_left": {
"lat": search.geo_box.top_left.lat,
"lon": search.geo_box.top_left.lon
},
"bottom_right": {
"lat": search.geo_box.bottom_right.lat,
"lon": search.geo_box.bottom_right.lon
}
}
})
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()