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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
|
