|
| 1 | +from django.core import checks |
| 2 | +from django.db import models |
| 3 | +from django.test import SimpleTestCase |
| 4 | +from django.test.utils import ( |
| 5 | + isolate_apps, |
| 6 | + override_system_checks, |
| 7 | +) |
| 8 | + |
| 9 | +from django_mongodb_backend.checks import check_vector_search_indexes |
| 10 | +from django_mongodb_backend.fields import ArrayField |
| 11 | +from django_mongodb_backend.indexes import VectorSearchIndex |
| 12 | + |
| 13 | + |
| 14 | +@isolate_apps("system_checks", attr_name="apps") |
| 15 | +@override_system_checks([check_vector_search_indexes]) |
| 16 | +class InvalidSearchIndexesTest(SimpleTestCase): |
| 17 | + def test_vectorsearch_requires_size(self): |
| 18 | + class Article(models.Model): |
| 19 | + title_embedded = ArrayField(models.FloatField()) |
| 20 | + |
| 21 | + class Meta: |
| 22 | + indexes = [ |
| 23 | + VectorSearchIndex(fields=["title_embedded"]), |
| 24 | + ] |
| 25 | + |
| 26 | + errors = checks.run_checks(app_configs=self.apps.get_app_configs(), databases={"default"}) |
| 27 | + self.assertEqual( |
| 28 | + errors, |
| 29 | + [ |
| 30 | + checks.Error( |
| 31 | + "Atlas vector search requires size.", |
| 32 | + id="django_mongodb_backend.indexes.VectorSearchIndex.E001", |
| 33 | + obj=Article._meta.indexes[0], |
| 34 | + ) |
| 35 | + ], |
| 36 | + ) |
| 37 | + |
| 38 | + def test_vectorsearch_requires_float_inner_field(self): |
| 39 | + class Article(models.Model): |
| 40 | + title_embedded = ArrayField(models.CharField(), size=30) |
| 41 | + |
| 42 | + class Meta: |
| 43 | + indexes = [ |
| 44 | + VectorSearchIndex(fields=["title_embedded"]), |
| 45 | + ] |
| 46 | + |
| 47 | + errors = checks.run_checks(app_configs=self.apps.get_app_configs(), databases={"default"}) |
| 48 | + self.assertEqual( |
| 49 | + errors, |
| 50 | + [ |
| 51 | + checks.Error( |
| 52 | + "Base type must be Float or Decimal.", |
| 53 | + id="django_mongodb_backend.indexes.VectorSearchIndex.E002", |
| 54 | + obj=Article._meta.indexes[0], |
| 55 | + ) |
| 56 | + ], |
| 57 | + ) |
| 58 | + |
| 59 | + def test_vectorsearch_unsupported_type(self): |
| 60 | + class Article(models.Model): |
| 61 | + data = models.JSONField() |
| 62 | + |
| 63 | + class Meta: |
| 64 | + indexes = [ |
| 65 | + VectorSearchIndex(fields=["data"]), |
| 66 | + ] |
| 67 | + |
| 68 | + errors = checks.run_checks(app_configs=self.apps.get_app_configs(), databases={"default"}) |
| 69 | + self.assertEqual( |
| 70 | + errors, |
| 71 | + [ |
| 72 | + checks.Error( |
| 73 | + "Unsupported filter of type JSONField.", |
| 74 | + id="django_mongodb_backend.indexes.VectorSearchIndex.E003", |
| 75 | + obj=Article._meta.indexes[0], |
| 76 | + ) |
| 77 | + ], |
| 78 | + ) |
| 79 | + |
| 80 | + def test_vectorsearch(self): |
| 81 | + class Article(models.Model): |
| 82 | + vector_data = ArrayField(models.DecimalField(), size=10) |
| 83 | + |
| 84 | + class Meta: |
| 85 | + indexes = [ |
| 86 | + VectorSearchIndex(fields=["vector_data"]), |
| 87 | + ] |
| 88 | + |
| 89 | + errors = checks.run_checks(app_configs=self.apps.get_app_configs(), databases={"default"}) |
| 90 | + self.assertEqual(errors, []) |
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