fix issue with nested vector fields and python 3.13 issubclass changes

.github/workflows/ci.yml

@@ -76,7 +76,7 @@ jobs:
     strategy:
       matrix:
         os: [ ubuntu-latest ]
-        pyver: [ "3.9", "3.10", "3.11", "3.12", "pypy-3.9", "pypy-3.10" ]
+        pyver: [ "3.9", "3.10", "3.11", "3.12", "3.13", "pypy-3.9", "pypy-3.10" ]
         redisstack: [ "latest" ]
       fail-fast: false
     services:

.gitignore

@@ -143,4 +143,7 @@ tests_sync/
 # spelling cruft
 *.dic
 
-.idea
+.idea
+
+# version files
+.tool-versions

aredis_om/model/model.py

@@ -1375,6 +1375,14 @@ def outer_type_or_annotation(field: FieldInfo):
         return field.annotation.__args__[0]  # type: ignore
 
 
+def _is_numeric_type(type_: Type[Any]) -> bool:
+    args = get_args(type_)
+    try:
+        return any(issubclass(args[0], t) for t in NUMERIC_TYPES)
+    except TypeError:
+        return False
+
+
 def should_index_field(field_info: Union[FieldInfo, PydanticFieldInfo]) -> bool:
     # for vector, full text search, and sortable fields, we always have to index
     # We could require the user to set index=True, but that would be a breaking change
@@ -2004,9 +2012,7 @@ def schema_for_type(
             field_info, "vector_options", None
         )
         try:
-            is_vector = vector_options and any(
-                issubclass(get_args(typ)[0], t) for t in NUMERIC_TYPES
-            )
+            is_vector = vector_options and _is_numeric_type(typ)
         except IndexError:
             raise RedisModelError(
                 f"Vector field '{name}' must be annotated as a container type"
@@ -2104,7 +2110,11 @@ def schema_for_type(
             # a proper type, we can pull the type information from the origin of the first argument.
             if not isinstance(typ, type):
                 type_args = typing_get_args(field_info.annotation)
-                typ = type_args[0].__origin__
+                typ = (
+                    getattr(type_args[0], "__origin__", type_args[0])
+                    if type_args
+                    else typ
+                )
 
             # TODO: GEO field
             if is_vector and vector_options:

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "redis-om"
-version = "1.0.1-beta"
+version = "1.0.2-beta"
 description = "Object mappings, and more, for Redis."
 authors = ["Redis OSS <[email protected]>"]
 maintainers = ["Redis OSS <[email protected]>"]
@@ -22,6 +22,7 @@ classifiers = [
     'Programming Language :: Python :: 3.10',
     'Programming Language :: Python :: 3.11',
     'Programming Language :: Python :: 3.12',
+    'Programming Language :: Python :: 3.13',
     'Programming Language :: Python',
 ]
 include=[

tests/test_hash_model.py

@@ -180,15 +180,15 @@ async def test_full_text_search_queries(members, m):
 async def test_pagination_queries(members, m):
     member1, member2, member3 = members
 
-    actual = await m.Member.find(m.Member.last_name == "Brookins").page()
+    actual = await m.Member.find(m.Member.last_name == "Brookins").sort_by("id").page()
 
     assert actual == [member1, member2]
 
-    actual = await m.Member.find().page(1, 1)
+    actual = await m.Member.find().sort_by("id").page(1, 1)
 
     assert actual == [member2]
 
-    actual = await m.Member.find().page(0, 1)
+    actual = await m.Member.find().sort_by("id").page(0, 1)
 
     assert actual == [member1]
 

tests/test_knn_expression.py

@@ -29,7 +29,24 @@ class Meta:
 
     class Member(BaseJsonModel, index=True):
         name: str
-        embeddings: list[list[float]] = Field([], vector_options=vector_field_options)
+        embeddings: list[float] = Field([], vector_options=vector_field_options)
+        embeddings_score: Optional[float] = None
+
+    await Migrator().run()
+
+    return Member
+
+
+@pytest_asyncio.fixture
+async def n(key_prefix, redis):
+    class BaseJsonModel(JsonModel, abc.ABC):
+        class Meta:
+            global_key_prefix = key_prefix
+            database = redis
+
+    class Member(BaseJsonModel, index=True):
+        name: str
+        nested: list[list[float]] = Field([], vector_options=vector_field_options)
         embeddings_score: Optional[float] = None
 
     await Migrator().run()
@@ -45,7 +62,7 @@ def to_bytes(vectors: list[float]) -> bytes:
 async def test_vector_field(m: Type[JsonModel]):
     # Create a new instance of the Member model
     vectors = [0.3 for _ in range(DIMENSIONS)]
-    member = m(name="seth", embeddings=[vectors])
+    member = m(name="seth", embeddings=vectors)
 
     # Save the member to Redis
     await member.save()
@@ -63,3 +80,27 @@ async def test_vector_field(m: Type[JsonModel]):
 
     assert len(members) == 1
     assert members[0].embeddings_score is not None
+
+
+@py_test_mark_asyncio
+async def test_nested_vector_field(n: Type[JsonModel]):
+    # Create a new instance of the Member model
+    vectors = [0.3 for _ in range(DIMENSIONS)]
+    member = n(name="seth", nested=[vectors])
+
+    # Save the member to Redis
+    await member.save()
+
+    knn = KNNExpression(
+        k=1,
+        vector_field=n.nested,
+        score_field=n.embeddings_score,
+        reference_vector=to_bytes(vectors),
+    )
+
+    query = n.find(knn=knn)
+
+    members = await query.all()
+
+    assert len(members) == 1
+    assert members[0].embeddings_score is not None