Remove all tests for <1.24 version

integration/test_backup_v4.py

@@ -16,7 +16,6 @@
 )
 from weaviate.collections.classes.config import DataType, Property, ReferenceProperty
 from weaviate.exceptions import (
-    WeaviateUnsupportedFeatureError,
     UnexpectedStatusCodeException,
     BackupFailedException,
 )
@@ -455,37 +454,6 @@ def test_backup_and_restore_with_collection_and_config_1_24_x(
     assert restore_status.status == BackupStatus.SUCCESS
 
 
-def test_backup_and_restore_with_collection_and_config_1_23_x(
-    client: weaviate.WeaviateClient,
-) -> None:
-    if client._connection._weaviate_version.is_at_least(1, 24, 0):
-        pytest.skip("Backup config is supported from Weaviate 1.24.0")
-
-    backup_id = _create_backup_id()
-
-    article = client.collections.use("Article")
-
-    with pytest.raises(WeaviateUnsupportedFeatureError):
-        article.backup.create(
-            backup_id=backup_id,
-            backend=BACKEND,
-            wait_for_completion=True,
-            config=BackupConfigCreate(
-                cpu_percentage=60,
-                chunk_size=256,
-                compression_level=BackupCompressionLevel.BEST_SPEED,
-            ),
-        )
-
-    with pytest.raises(WeaviateUnsupportedFeatureError):
-        article.backup.restore(
-            backup_id=backup_id,
-            backend=BACKEND,
-            wait_for_completion=True,
-            config=BackupConfigRestore(cpu_percentage=70),
-        )
-
-
 # did not make it into 1.27, will come later
 # def test_list_backup(client: weaviate.WeaviateClient) -> None:
 #     """Create and restore backup without waiting."""

integration/test_client.py

@@ -282,9 +282,6 @@ def test_create_export_and_recreate(client: weaviate.WeaviateClient, request: Su
 def test_create_export_and_recreate_named_vectors(
     client: weaviate.WeaviateClient, request: SubRequest
 ) -> None:
-    if client._connection._weaviate_version.is_lower_than(1, 24, 0):
-        pytest.skip("Named vectors are not supported in versions lower than 1.24.0")
-
     name1 = request.node.name
     name2 = request.node.name + "2"
     client.collections.delete([name1, name2])
@@ -352,10 +349,7 @@ def test_client_cluster_with_lazy_shard_loading(
         assert nodes[0].shards[0].vector_indexing_status == "READY"
         assert nodes[0].shards[0].vector_queue_length == 0
         assert nodes[0].shards[0].compressed is False
-        if collection._connection._weaviate_version.is_lower_than(1, 24, 0):
-            assert nodes[0].shards[0].loaded is None
-        else:
-            assert nodes[0].shards[0].loaded is True
+        assert nodes[0].shards[0].loaded is True
     finally:
         client.collections.delete(request.node.name)
 
@@ -377,9 +371,7 @@ def test_client_cluster_without_lazy_shard_loading(
         assert nodes[0].shards[0].vector_indexing_status == "READY"
         assert nodes[0].shards[0].vector_queue_length == 0
         assert nodes[0].shards[0].compressed is False
-        if collection._connection._weaviate_version.is_lower_than(1, 24, 0):
-            assert nodes[0].shards[0].loaded is None
-        elif collection._connection._weaviate_version.is_lower_than(1, 25, 0):
+        if collection._connection._weaviate_version.is_lower_than(1, 25, 0):
             assert nodes[0].shards[0].loaded is True
         else:
             assert nodes[0].shards[0].loaded is False

integration/test_collection_aggregate.py

@@ -386,21 +386,15 @@ def test_hybrid_aggregation_group_by(
 def test_hybrid_aggregation_group_by_with_named_vectors(
     collection_factory: CollectionFactory, group_by: Union[str, GroupByAggregate]
 ) -> None:
-    dummy = collection_factory("dummy")
-    collection_maker = lambda: collection_factory(
+    collection = collection_factory(
         properties=[Property(name="text", data_type=DataType.TEXT)],
         vectorizer_config=[
             Configure.NamedVectors.text2vec_contextionary(
                 name="all", vectorize_collection_name=False
             )
         ],
     )
-    if dummy._connection._weaviate_version.is_lower_than(1, 24, 0):
-        with pytest.raises(WeaviateInvalidInputError):
-            collection_maker()
-        return
 
-    collection = collection_maker()
     text_1 = "some text"
     text_2 = "nothing like the other one at all, not even a little bit"
     collection.data.insert({"text": text_1})
@@ -415,7 +409,7 @@ def test_hybrid_aggregation_group_by_with_named_vectors(
         object_limit=2,  # has no effect due to alpha=0
         target_vector="all",
     )
-    if dummy._connection._weaviate_version.is_lower_than(1, 25, 0):
+    if collection._connection._weaviate_version.is_lower_than(1, 25, 0):
         with pytest.raises(WeaviateUnsupportedFeatureError):
             querier()
         return

integration/test_collection_config.py

@@ -575,10 +575,6 @@ def test_collection_config_update(collection_factory: CollectionFactory) -> None
 
 
 def test_hnsw_with_bq(collection_factory: CollectionFactory) -> None:
-    dummy = collection_factory("dummy")
-    if dummy._connection._weaviate_version.is_lower_than(1, 24, 0):
-        pytest.skip("BQ+HNSW is not supported in Weaviate versions lower than 1.24.0")
-
     collection = collection_factory(
         vector_index_config=Configure.VectorIndex.hnsw(
             vector_cache_max_objects=5,
@@ -1199,10 +1195,6 @@ def test_create_custom_vectorizer(collection_factory: CollectionFactory) -> None
 
 
 def test_create_custom_vectorizer_named(collection_factory: CollectionFactory) -> None:
-    collection_dummy = collection_factory("dummy")
-    if collection_dummy._connection._weaviate_version.is_lower_than(1, 24, 0):
-        pytest.skip("Named index is not supported in Weaviate versions lower than 1.24.0")
-
     collection = collection_factory(
         properties=[Property(name="text", data_type=DataType.TEXT)],
         vectorizer_config=[

integration/test_collection_hybrid.py

@@ -22,7 +22,6 @@
 )
 from weaviate.collections.classes.internal import Object
 from weaviate.exceptions import (
-    WeaviateInvalidInputError,
     WeaviateUnsupportedFeatureError,
 )
 
@@ -215,8 +214,7 @@ def test_hybrid_near_vector_search(collection_factory: CollectionFactory) -> Non
 
 
 def test_hybrid_near_vector_search_named_vectors(collection_factory: CollectionFactory) -> None:
-    dummy = collection_factory("dummy")
-    collection_maker = lambda: collection_factory(
+    collection = collection_factory(
         properties=[
             Property(name="text", data_type=DataType.TEXT),
             Property(name="int", data_type=DataType.INT),
@@ -231,12 +229,6 @@ def test_hybrid_near_vector_search_named_vectors(collection_factory: CollectionF
         ],
     )
 
-    if dummy._connection._weaviate_version.is_lower_than(1, 24, 0):
-        with pytest.raises(WeaviateInvalidInputError):
-            collection_maker()
-        return
-
-    collection = collection_maker()
     uuid_banana = collection.data.insert({"text": "banana"})
     collection.data.insert({"text": "dog"})
     collection.data.insert({"text": "different concept"})
@@ -325,8 +317,7 @@ def test_hybrid_near_text_search(collection_factory: CollectionFactory) -> None:
 
 
 def test_hybrid_near_text_search_named_vectors(collection_factory: CollectionFactory) -> None:
-    dummy = collection_factory("dummy")
-    collection_maker = lambda: collection_factory(
+    collection = lambda: collection_factory(
         properties=[
             Property(name="text", data_type=DataType.TEXT),
             Property(name="int", data_type=DataType.INT),
@@ -340,12 +331,7 @@ def test_hybrid_near_text_search_named_vectors(collection_factory: CollectionFac
             ),
         ],
     )
-    if dummy._connection._weaviate_version.is_lower_than(1, 24, 0):
-        with pytest.raises(WeaviateInvalidInputError):
-            collection_maker()
-        return
 
-    collection = collection_maker()
     uuid_banana_pudding = collection.data.insert({"text": "banana pudding"})
     collection.data.insert({"text": "banana smoothie"})
     collection.data.insert({"text": "different concept"})

integration/test_named_vectors.py

@@ -21,40 +21,14 @@
 from weaviate.types import INCLUDE_VECTOR
 
 
-def test_create_named_vectors_throws_error_in_old_version(
-    collection_factory: CollectionFactory,
-) -> None:
-    collection = collection_factory("dummy")
-    if not collection._connection._weaviate_version.is_lower_than(1, 24, 0):
-        pytest.skip("Named vectors are supported in versions higher than 1.24.0")
-
-    with pytest.raises(WeaviateInvalidInputError):
-        collection_factory(
-            properties=[
-                wvc.config.Property(name="title", data_type=wvc.config.DataType.TEXT),
-                wvc.config.Property(name="content", data_type=wvc.config.DataType.TEXT),
-            ],
-            vectorizer_config=[
-                wvc.config.Configure.NamedVectors.text2vec_contextionary(
-                    "title", source_properties=["title"], vectorize_collection_name=False
-                ),
-                wvc.config.Configure.NamedVectors.text2vec_contextionary(
-                    name="content", source_properties=["content"], vectorize_collection_name=False
-                ),
-            ],
-        )
-
-
 @pytest.mark.parametrize(
     "include_vector",
     [["title", "content", "All", "AllExplicit", "bringYourOwn", "bringYourOwn2"], True],
 )
 def test_create_named_vectors(
     collection_factory: CollectionFactory, include_vector: Union[List[str], bool]
 ) -> None:
-    collection = collection_factory("dummy")
-    if collection._connection._weaviate_version.is_lower_than(1, 24, 0):
-        pytest.skip("Named vectors are not supported in versions lower than 1.24.0")
+
     collection = collection_factory(
         properties=[
             wvc.config.Property(name="title", data_type=wvc.config.DataType.TEXT),
@@ -107,9 +81,7 @@ def test_create_named_vectors(
 
 
 def test_insert_many_add(collection_factory: CollectionFactory) -> None:
-    collection = collection_factory("dummy")
-    if collection._connection._weaviate_version.is_lower_than(1, 24, 0):
-        pytest.skip("Named vectors are not supported in versions lower than 1.24.0")
+
     collection = collection_factory(
         properties=[
             wvc.config.Property(name="title", data_type=wvc.config.DataType.TEXT),
@@ -139,9 +111,6 @@ def test_insert_many_add(collection_factory: CollectionFactory) -> None:
 
 
 def test_update(collection_factory: CollectionFactory) -> None:
-    collection = collection_factory("dummy")
-    if collection._connection._weaviate_version.is_lower_than(1, 24, 0):
-        pytest.skip("Named vectors are not supported in versions lower than 1.24.0")
 
     collection = collection_factory(
         properties=[
@@ -174,9 +143,6 @@ def test_update(collection_factory: CollectionFactory) -> None:
 
 
 def test_replace(collection_factory: CollectionFactory) -> None:
-    collection = collection_factory("dummy")
-    if collection._connection._weaviate_version.is_lower_than(1, 24, 0):
-        pytest.skip("Named vectors are not supported in versions lower than 1.24.0")
 
     collection = collection_factory(
         properties=[
@@ -210,9 +176,7 @@ def test_replace(collection_factory: CollectionFactory) -> None:
 
 
 def test_query(collection_factory: CollectionFactory) -> None:
-    collection = collection_factory("dummy")
-    if collection._connection._weaviate_version.is_lower_than(1, 24, 0):
-        pytest.skip("Named vectors are not supported in versions lower than 1.24.0")
+
     collection = collection_factory(
         properties=[
             wvc.config.Property(name="title", data_type=wvc.config.DataType.TEXT),
@@ -288,9 +252,7 @@ def test_generate(openai_collection: OpenAICollection) -> None:
 
 
 def test_batch_add(collection_factory: CollectionFactory) -> None:
-    collection = collection_factory("dummy")
-    if collection._connection._weaviate_version.is_lower_than(1, 24, 0):
-        pytest.skip("Named vectors are not supported in versions lower than 1.24.0")
+
     collection = collection_factory(
         properties=[
             wvc.config.Property(name="title", data_type=wvc.config.DataType.TEXT),
@@ -318,9 +280,7 @@ def test_batch_add(collection_factory: CollectionFactory) -> None:
 
 
 def test_named_vector_with_index_config(collection_factory: CollectionFactory) -> None:
-    collection = collection_factory("dummy")
-    if collection._connection._weaviate_version.is_lower_than(1, 24, 0):
-        pytest.skip("Named vectors are not supported in versions lower than 1.24.0")
+
     collection = collection_factory(
         properties=[
             wvc.config.Property(name="title", data_type=wvc.config.DataType.TEXT),
@@ -375,9 +335,7 @@ def test_named_vector_with_index_config(collection_factory: CollectionFactory) -
 
 
 def test_aggregation(collection_factory: CollectionFactory) -> None:
-    collection = collection_factory("dummy")
-    if collection._connection._weaviate_version.is_lower_than(1, 24, 0):
-        pytest.skip("Named vectors are not supported in versions lower than 1.24.0")
+
     collection = collection_factory(
         properties=[
             wvc.config.Property(name="first", data_type=wvc.config.DataType.TEXT),
@@ -453,9 +411,7 @@ def test_aggregation(collection_factory: CollectionFactory) -> None:
 def test_update_to_enable_quantizer_on_specific_named_vector(
     collection_factory: CollectionFactory,
 ) -> None:
-    collection = collection_factory("dummy")
-    if collection._connection._weaviate_version.is_lower_than(1, 24, 0):
-        pytest.skip("Named vectors are not supported in versions lower than 1.24.0")
+
     collection = collection_factory(
         properties=[
             wvc.config.Property(name="first", data_type=wvc.config.DataType.TEXT),
@@ -548,9 +504,7 @@ def test_update_to_enable_quantizer_on_specific_named_vector(
 
 
 def test_duplicate_named_vectors(collection_factory: CollectionFactory) -> None:
-    collection = collection_factory("dummy")
-    if collection._connection._weaviate_version.is_lower_than(1, 24, 0):
-        pytest.skip("Named vectors are not supported in versions lower than 1.24.0")
+
     with pytest.raises(WeaviateInvalidInputError) as e:
         collection_factory(
             vectorizer_config=[