from . import PostgreSQLTestCase from .models import CharFieldModel, TextFieldModel try: from django.contrib.postgres.search import ( TrigramDistance, TrigramSimilarity, TrigramStrictWordDistance, TrigramStrictWordSimilarity, TrigramWordDistance, TrigramWordSimilarity, ) except ImportError: pass class TrigramTest(PostgreSQLTestCase): Model = CharFieldModel @classmethod def setUpTestData(cls): cls.Model.objects.bulk_create( [ cls.Model(field="Matthew"), cls.Model(field="Cat sat on mat."), cls.Model(field="Dog sat on rug."), ] ) def test_trigram_search(self): self.assertQuerySetEqual( self.Model.objects.filter(field__trigram_similar="Mathew"), ["Matthew"], transform=lambda instance: instance.field, ) def test_trigram_word_search(self): obj = self.Model.objects.create( field="Gumby rides on the path of Middlesbrough", ) self.assertSequenceEqual( self.Model.objects.filter(field__trigram_word_similar="Middlesborough"), [obj], ) self.assertSequenceEqual( self.Model.objects.filter(field__trigram_word_similar="Middle"), [obj], ) def test_trigram_strict_word_search_matched(self): obj = self.Model.objects.create( field="Gumby rides on the path of Middlesbrough", ) self.assertSequenceEqual( self.Model.objects.filter( field__trigram_strict_word_similar="Middlesborough" ), [obj], ) self.assertSequenceEqual( self.Model.objects.filter(field__trigram_strict_word_similar="Middle"), [], ) def test_trigram_similarity(self): search = "Bat sat on cat." # Round result of similarity because PostgreSQL uses greater precision. self.assertQuerySetEqual( self.Model.objects.filter( field__trigram_similar=search, ) .annotate(similarity=TrigramSimilarity("field", search)) .order_by("-similarity"), [("Cat sat on mat.", 0.625), ("Dog sat on rug.", 0.333333)], transform=lambda instance: (instance.field, round(instance.similarity, 6)), ordered=True, ) def test_trigram_word_similarity(self): search = "mat" self.assertSequenceEqual( self.Model.objects.filter( field__trigram_word_similar=search, ) .annotate( word_similarity=TrigramWordSimilarity(search, "field"), ) .values("field", "word_similarity") .order_by("-word_similarity"), [ {"field": "Cat sat on mat.", "word_similarity": 1.0}, {"field": "Matthew", "word_similarity": 0.75}, ], ) def test_trigram_strict_word_similarity(self): search = "matt" self.assertSequenceEqual( self.Model.objects.filter(field__trigram_word_similar=search) .annotate(word_similarity=TrigramStrictWordSimilarity(search, "field")) .values("field", "word_similarity") .order_by("-word_similarity"), [ {"field": "Cat sat on mat.", "word_similarity": 0.5}, {"field": "Matthew", "word_similarity": 0.44444445}, ], ) def test_trigram_similarity_alternate(self): # Round result of distance because PostgreSQL uses greater precision. self.assertQuerySetEqual( self.Model.objects.annotate( distance=TrigramDistance("field", "Bat sat on cat."), ) .filter(distance__lte=0.7) .order_by("distance"), [("Cat sat on mat.", 0.375), ("Dog sat on rug.", 0.666667)], transform=lambda instance: (instance.field, round(instance.distance, 6)), ordered=True, ) def test_trigram_word_similarity_alternate(self): self.assertSequenceEqual( self.Model.objects.annotate( word_distance=TrigramWordDistance("mat", "field"), ) .filter( word_distance__lte=0.7, ) .values("field", "word_distance") .order_by("word_distance"), [ {"field": "Cat sat on mat.", "word_distance": 0}, {"field": "Matthew", "word_distance": 0.25}, ], ) def test_trigram_strict_word_distance(self): self.assertSequenceEqual( self.Model.objects.annotate( word_distance=TrigramStrictWordDistance("matt", "field"), ) .filter(word_distance__lte=0.7) .values("field", "word_distance") .order_by("word_distance"), [ {"field": "Cat sat on mat.", "word_distance": 0.5}, {"field": "Matthew", "word_distance": 0.5555556}, ], ) class TrigramTextFieldTest(TrigramTest): """ TextField has the same behavior as CharField regarding trigram lookups. """ Model = TextFieldModel