def delete_index(self):
se = SearchEngineFactory().create()
query = Query(se, start=0, limit=10000)
term = Term(field='id', term=self.id)
query.add_query(term)
query.delete(index='concept_labels')
se.delete_terms(self.id)
def delete_index(self):
se = SearchEngineFactory().create()
query = Query(se, start=0, limit=10000)
phrase = Match(field='conceptid', query=self.conceptid, type='phrase')
query.add_query(phrase)
query.delete(index='concept_labels')
se.delete_terms(self.id)
def delete_index(self):
se = SearchEngineFactory().create()
query = Query(se, start=0, limit=10000)
phrase = Match(field='conceptid', query=self.conceptid, type='phrase')
query.add_query(phrase)
query.delete(index='concept_labels')
se.delete_terms(self.id)
def delete_concept_values_index(concepts_to_delete):
se = SearchEngineFactory().create()
for concept in concepts_to_delete.itervalues():
query = Query(se, start=0, limit=10000)
term = Term(field='conceptid', term=concept.id)
query.add_query(term)
query.delete(index='concept_labels')
for conceptvalue in concept.values:
se.delete_terms(conceptvalue.id)
def IndexConceptFixer(source):
"""
Simple utility to delete the ES index of a given list of conceptids
"""
with open(source, 'rb') as csvfile:
reader = csv.DictReader(csvfile, delimiter= '|')
se = SearchEngineFactory().create()
for row in reader:
try:
conceptvalues = Values.objects.filter(conceptid = row['conceptid'])
for conceptvalue in conceptvalues:
se.delete_terms(conceptvalue.valueid)
except:
print "Concept Value %s does not exist" % row['conceptid']
def IndexConceptFixer(source):
"""
Simple utility to delete the ES index of a given list of conceptids
"""
with open(source, 'rb') as csvfile:
reader = csv.DictReader(csvfile, delimiter='|')
se = SearchEngineFactory().create()
for row in reader:
try:
conceptvalues = Values.objects.filter(
conceptid=row['conceptid'])
for conceptvalue in conceptvalues:
se.delete_terms(conceptvalue.valueid)
except:
print "Concept Value %s does not exist" % row['conceptid']
def index(self):
"""
Indexes all the nessesary documents related to resources to support the map, search, and reports
"""
se = SearchEngineFactory().create()
search_documents = self.prepare_documents_for_search_index()
for document in search_documents:
se.index_data('resource',
self.resourceinstance.graph_id,
document,
id=self.resourceinstance_id)
for term in self.prepare_terms_for_search_index():
term_id = '%s_%s' % (str(self.tileid), str(term['nodeid']))
se.delete_terms(term_id)
se.index_term(term['term'], term_id, term['context'],
term['options'])
