def test_tokenization(self):
"""
The whether the elasticsearch analyzer yields the right tokens for the german analyzer.
Check the comments in mainapp.documents.index for more details
"""
tokenizations = {
"die": [],
"hunde": ["hunde", "hund"],
"wi-fi": ["wi", "fi"],
"Feuerwehr": ["feuerwehr"], # Would ideally split the words
"oktopoden": ["oktopoden", "oktopod"],
"Äpfel": ["äpfel", "apfel"],
"ging": ["ging"],
"schwierigste": ["schwierigste", "schwierig"],
"1234/89": ["1234", "89"], # Would be better if it included "1234/89"
}
text_analyzer = get_text_analyzer("german")
elastic_index = Index("mst-test-tokenization")
if not elastic_index.exists():
elastic_index.create()
elastic_index.close()
elastic_index.analyzer(text_analyzer)
elastic_index.save()
elastic_index.open()
elastic_index.flush()
for word, expected_tokens in tokenizations.items():
analysis = elastic_index.analyze(
body={"analyzer": "text_analyzer", "text": word}
)
actual_tokens = [i["token"] for i in analysis["tokens"]]
self.assertEqual(expected_tokens, actual_tokens, "Word was {}".format(word))
def rebuild_index_old(request):
index_name=request.GET.get("name","profils")
es = Index(index_name,using="default")
if es.exists():es.delete()
es.create("default")
es.save("default")
return Response({"message": "Reconstruction de l'index "+index_name+" terminée"})