Edits

Author: WaVEV

django_mongodb_backend/checks.py

@@ -4,8 +4,6 @@
 from django.core.checks import Tags, register
 from django.db import connections, router
 
-from django_mongodb_backend.indexes import VectorSearchIndex
-
 
 @register(Tags.models)
 def check_vector_search_indexes(app_configs, databases=None, **kwargs):  # noqa: ARG001
@@ -21,7 +19,6 @@ def check_vector_search_indexes(app_configs, databases=None, **kwargs):  # noqa:
                 continue
             connection = connections[db]
             for model_index in model._meta.indexes:
-                if not isinstance(model_index, VectorSearchIndex):
-                    continue
-                errors.extend(model_index.check(model, connection))
+                if hasattr(model_index, "check"):
+                    errors.extend(model_index.check(model, connection))
     return errors

django_mongodb_backend/features.py

@@ -616,8 +616,10 @@ def is_mongodb_6_3(self):
     @cached_property
     def supports_search_indexes(self):
         try:
+            # Try to execute an search indexes operation.
             self.connection.get_collection("__null").list_search_indexes()
         except OperationFailure:
+            # Operation fails then search indexes isn't supported
             return False
         else:
             return True

django_mongodb_backend/fields/validators.py

@@ -147,7 +147,6 @@ class VectorSearchIndex(SearchIndex):
 
     def __init__(self, *expressions, similarities="cosine", **kwargs):
         super().__init__(*expressions, **kwargs)
-        # validate the similarities types
         self.similarities = similarities
 
     def check(self, model, connection):

django_mongodb_backend/indexes.py

@@ -14,8 +14,6 @@ class Article(models.Model):
     body = models.TextField()
     data = models.JSONField()
     embedded = EmbeddedModelField(Data)
-    auto_now = models.DateTimeField(auto_now=True)
+    created_at = models.DateTimeField(auto_now=True)
     title_embedded = ArrayField(models.FloatField(), size=10)
-    description_embedded = ArrayField(models.FloatField(), size=10)
-    number_list = ArrayField(models.FloatField())
-    name_list = ArrayField(models.CharField(max_length=30), size=10)
+    description_embedded = ArrayField(models.DecimalField(decimal_places=3, max_digits=10), size=10)

tests/indexes_/models.py

@@ -42,7 +42,7 @@ def test_multiple_fields(self):
         with connection.schema_editor() as editor:
             index = SearchIndex(
                 name="recent_article_idx",
-                fields=["headline", "number", "body", "data", "embedded", "auto_now"],
+                fields=["headline", "number", "body", "data", "embedded", "created_at"],
             )
             editor.add_index(index=index, model=Article)
             index_info = connection.introspection.get_constraints(
@@ -52,7 +52,7 @@ def test_multiple_fields(self):
             expected_options = {
                 "dynamic": False,
                 "fields": {
-                    "auto_now": {"type": "date"},
+                    "created_at": {"type": "date"},
                     "body": {
                         "indexOptions": "offsets",
                         "norms": "include",