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149b55fefa
Co-authored-by: Mariusz Felisiak <felisiak.mariusz@gmail.com>
159 lines
5.2 KiB
Python
159 lines
5.2 KiB
Python
from . import PostgreSQLTestCase
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from .models import CharFieldModel, TextFieldModel
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try:
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from django.contrib.postgres.search import (
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TrigramDistance,
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TrigramSimilarity,
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TrigramStrictWordDistance,
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TrigramStrictWordSimilarity,
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TrigramWordDistance,
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TrigramWordSimilarity,
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)
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except ImportError:
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pass
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class TrigramTest(PostgreSQLTestCase):
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Model = CharFieldModel
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@classmethod
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def setUpTestData(cls):
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cls.Model.objects.bulk_create(
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[
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cls.Model(field="Matthew"),
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cls.Model(field="Cat sat on mat."),
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cls.Model(field="Dog sat on rug."),
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]
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)
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def test_trigram_search(self):
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self.assertQuerySetEqual(
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self.Model.objects.filter(field__trigram_similar="Mathew"),
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["Matthew"],
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transform=lambda instance: instance.field,
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)
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def test_trigram_word_search(self):
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obj = self.Model.objects.create(
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field="Gumby rides on the path of Middlesbrough",
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)
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self.assertSequenceEqual(
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self.Model.objects.filter(field__trigram_word_similar="Middlesborough"),
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[obj],
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)
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self.assertSequenceEqual(
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self.Model.objects.filter(field__trigram_word_similar="Middle"),
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[obj],
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)
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def test_trigram_strict_word_search_matched(self):
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obj = self.Model.objects.create(
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field="Gumby rides on the path of Middlesbrough",
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)
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self.assertSequenceEqual(
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self.Model.objects.filter(
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field__trigram_strict_word_similar="Middlesborough"
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),
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[obj],
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)
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self.assertSequenceEqual(
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self.Model.objects.filter(field__trigram_strict_word_similar="Middle"),
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[],
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)
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def test_trigram_similarity(self):
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search = "Bat sat on cat."
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# Round result of similarity because PostgreSQL uses greater precision.
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self.assertQuerySetEqual(
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self.Model.objects.filter(
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field__trigram_similar=search,
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)
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.annotate(similarity=TrigramSimilarity("field", search))
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.order_by("-similarity"),
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[("Cat sat on mat.", 0.625), ("Dog sat on rug.", 0.333333)],
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transform=lambda instance: (instance.field, round(instance.similarity, 6)),
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ordered=True,
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)
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def test_trigram_word_similarity(self):
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search = "mat"
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self.assertSequenceEqual(
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self.Model.objects.filter(
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field__trigram_word_similar=search,
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)
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.annotate(
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word_similarity=TrigramWordSimilarity(search, "field"),
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)
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.values("field", "word_similarity")
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.order_by("-word_similarity"),
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[
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{"field": "Cat sat on mat.", "word_similarity": 1.0},
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{"field": "Matthew", "word_similarity": 0.75},
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],
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)
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def test_trigram_strict_word_similarity(self):
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search = "matt"
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self.assertSequenceEqual(
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self.Model.objects.filter(field__trigram_word_similar=search)
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.annotate(word_similarity=TrigramStrictWordSimilarity(search, "field"))
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.values("field", "word_similarity")
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.order_by("-word_similarity"),
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[
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{"field": "Cat sat on mat.", "word_similarity": 0.5},
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{"field": "Matthew", "word_similarity": 0.44444445},
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],
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)
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def test_trigram_similarity_alternate(self):
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# Round result of distance because PostgreSQL uses greater precision.
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self.assertQuerySetEqual(
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self.Model.objects.annotate(
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distance=TrigramDistance("field", "Bat sat on cat."),
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)
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.filter(distance__lte=0.7)
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.order_by("distance"),
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[("Cat sat on mat.", 0.375), ("Dog sat on rug.", 0.666667)],
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transform=lambda instance: (instance.field, round(instance.distance, 6)),
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ordered=True,
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)
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def test_trigram_word_similarity_alternate(self):
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self.assertSequenceEqual(
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self.Model.objects.annotate(
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word_distance=TrigramWordDistance("mat", "field"),
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)
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.filter(
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word_distance__lte=0.7,
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)
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.values("field", "word_distance")
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.order_by("word_distance"),
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[
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{"field": "Cat sat on mat.", "word_distance": 0},
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{"field": "Matthew", "word_distance": 0.25},
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],
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)
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def test_trigram_strict_word_distance(self):
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self.assertSequenceEqual(
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self.Model.objects.annotate(
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word_distance=TrigramStrictWordDistance("matt", "field"),
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)
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.filter(word_distance__lte=0.7)
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.values("field", "word_distance")
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.order_by("word_distance"),
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[
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{"field": "Cat sat on mat.", "word_distance": 0.5},
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{"field": "Matthew", "word_distance": 0.5555556},
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],
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)
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class TrigramTextFieldTest(TrigramTest):
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"""
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TextField has the same behavior as CharField regarding trigram lookups.
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"""
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Model = TextFieldModel
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