Remove oudated constructors for text2vec-digitalocean configuration and make model required

Author: mpartipilo

test/collection/test_config.py

@@ -329,20 +329,6 @@ def test_basic_config():
             }
         },
     ),
-    (
-        Configure.Vectorizer.text2vec_digitalocean(
-            vectorize_collection_name=False,
-            model="qwen3-embedding-0.6b",
-            base_url="https://inference.do-ai.run",
-        ),
-        {
-            "text2vec-digitalocean": {
-                "vectorizeClassName": False,
-                "model": "qwen3-embedding-0.6b",
-                "baseURL": "https://inference.do-ai.run/",
-            }
-        },
-    ),
     (
         Configure.Vectorizer.text2vec_palm(
             project_id="project",
@@ -1785,20 +1771,6 @@ def test_vector_config_flat_pq() -> None:
             }
         },
     ),
-    (
-        [Configure.NamedVectors.text2vec_digitalocean(name="test", source_properties=["prop"])],
-        {
-            "test": {
-                "vectorizer": {
-                    "text2vec-digitalocean": {
-                        "vectorizeClassName": True,
-                        "properties": ["prop"],
-                    }
-                },
-                "vectorIndexType": "hnsw",
-            }
-        },
-    ),
     (
         [
             Configure.NamedVectors.text2vec_palm(
@@ -2402,13 +2374,18 @@ def test_config_with_named_vectors(
         },
     ),
     (
-        [Configure.Vectors.text2vec_digitalocean(name="test", source_properties=["prop"])],
+        [
+            Configure.Vectors.text2vec_digitalocean(
+                name="test", source_properties=["prop"], model="qwen2"
+            )
+        ],
         {
             "test": {
                 "vectorizer": {
                     "text2vec-digitalocean": {
                         "vectorizeClassName": True,
                         "properties": ["prop"],
+                        "model": "qwen2",
                     }
                 },
                 "vectorIndexType": "hnsw",

weaviate/collections/classes/config_named_vectors.py

@@ -48,7 +48,6 @@
     _Text2VecCohereConfig,
     _Text2VecContextionaryConfig,
     _Text2VecDatabricksConfig,
-    _Text2VecDigitalOceanConfig,
     _Text2VecGoogleConfig,
     _Text2VecGPT4AllConfig,
     _Text2VecHuggingFaceConfig,
@@ -359,40 +358,6 @@ def text2vec_mistral(
             vector_index_config=vector_index_config,
         )
 
-    @staticmethod
-    def text2vec_digitalocean(
-        name: str,
-        *,
-        base_url: Optional[AnyHttpUrl] = None,
-        model: Optional[str] = None,
-        source_properties: Optional[List[str]] = None,
-        vector_index_config: Optional[_VectorIndexConfigCreate] = None,
-        vectorize_collection_name: bool = True,
-    ) -> _NamedVectorConfigCreate:
-        """Create a named vector using the `text2vec-digitalocean` model.
-
-        See the [documentation](https://weaviate.io/developers/weaviate/model-providers/digitalocean/embeddings)
-        for detailed usage.
-
-        Args:
-            name: The name of the named vector.
-            base_url: The base URL to use where API requests should go. Defaults to `None`, which uses the server-defined default of `https://inference.do-ai.run`.
-            model: The model to use, e.g. `qwen3-embedding-0.6b`. This is a required field on the server.
-            source_properties: Which properties should be included when vectorizing. By default all text properties are included.
-            vector_index_config: The configuration for Weaviate's vector index. Use wvc.config.Configure.VectorIndex to create a vector index configuration. None by default
-            vectorize_collection_name: Whether to vectorize the collection name. Defaults to `True`.
-        """
-        return _NamedVectorConfigCreate(
-            name=name,
-            source_properties=source_properties,
-            vectorizer=_Text2VecDigitalOceanConfig(
-                baseURL=base_url,
-                model=model,
-                vectorizeClassName=vectorize_collection_name,
-            ),
-            vector_index_config=vector_index_config,
-        )
-
     @staticmethod
     def text2vec_ollama(
         name: str,

weaviate/collections/classes/config_vectorizers.py

@@ -291,7 +291,7 @@ class _Text2VecDigitalOceanConfig(_VectorizerConfigCreate):
     vectorizer: Union[Vectorizers, _EnumLikeStr] = Field(
         default=Vectorizers.TEXT2VEC_DIGITALOCEAN, frozen=True, exclude=True
     )
-    model: Optional[str]
+    model: str
     vectorizeClassName: bool
     baseURL: Optional[AnyHttpUrl]
 
@@ -1100,27 +1100,6 @@ def text2vec_mistral(
             baseURL=base_url, model=model, vectorizeClassName=vectorize_collection_name
         )
 
-    @staticmethod
-    def text2vec_digitalocean(
-        *,
-        base_url: Optional[AnyHttpUrl] = None,
-        model: Optional[str] = None,
-        vectorize_collection_name: bool = True,
-    ) -> _VectorizerConfigCreate:
-        """Create a `_Text2VecDigitalOceanConfig` object for use when vectorizing using the `text2vec-digitalocean` model.
-
-        See the [documentation](https://weaviate.io/developers/weaviate/model-providers/digitalocean/embeddings)
-        for detailed usage.
-
-        Args:
-            base_url: The base URL to use where API requests should go. Defaults to `None`, which uses the server-defined default of `https://inference.do-ai.run`.
-            model: The model to use, e.g. `qwen3-embedding-0.6b`. This is a required field on the server.
-            vectorize_collection_name: Whether to vectorize the collection name. Defaults to `True`.
-        """
-        return _Text2VecDigitalOceanConfig(
-            baseURL=base_url, model=model, vectorizeClassName=vectorize_collection_name
-        )
-
     @staticmethod
     def text2vec_ollama(
         *,

weaviate/collections/classes/config_vectors.py

@@ -627,7 +627,7 @@ def text2vec_digitalocean(
         name: Optional[str] = None,
         quantizer: Optional[_QuantizerConfigCreate] = None,
         base_url: Optional[AnyHttpUrl] = None,
-        model: Optional[str] = None,
+        model: str,
         source_properties: Optional[List[str]] = None,
         vector_index_config: Optional[_VectorIndexConfigCreate] = None,
         vectorize_collection_name: bool = True,