tests: fix up the astra integ tests and add vectorize tests (#2616)

* fix up the astra integ tests and add vectorize tests

* [autofix.ci] apply automated fixes

---------

Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>

src/backend/base/langflow/base/vectorstores/model.py

@@ -88,7 +88,7 @@ class LCVectorStoreComponent(Component):
 
     def search_documents(self) -> List[Data]:
         """
-        Search for documents in the Chroma vector store.
+        Search for documents in the vector store.
         """
         search_query: str = self.search_query
         if not search_query:

src/backend/base/langflow/components/embeddings/AstraVectorize.py

@@ -4,7 +4,7 @@ from langflow.inputs.inputs import DictInput, SecretStrInput, MessageTextInput,
 from langflow.template.field.base import Output
 
 
-class AstraVectorize(Component):
+class AstraVectorizeComponent(Component):
     display_name: str = "Astra Vectorize"
     description: str = "Configuration options for Astra Vectorize server-side embeddings."
     documentation: str = "https://docs.datastax.com/en/astra-db-serverless/databases/embedding-generation.html"
@@ -92,7 +92,7 @@ class AstraVectorize(Component):
 
     def build_options(self) -> dict[str, Any]:
         provider_value = self.VECTORIZE_PROVIDERS_MAPPING[self.provider][0]
-        authentication = {**self.authentication}
+        authentication = {**(self.authentication or {})}
         api_key_name = self.api_key_name
         if api_key_name:
             authentication["providerKey"] = api_key_name
@@ -102,7 +102,7 @@ class AstraVectorize(Component):
                 "provider": provider_value,
                 "modelName": self.model_name,
                 "authentication": authentication,
-                "parameters": self.model_parameters,
+                "parameters": self.model_parameters or {},
             },
             "collection_embedding_api_key": self.provider_api_key,
         }

src/backend/base/langflow/components/embeddings/__init__.py

@@ -1,4 +1,5 @@
 from .AmazonBedrockEmbeddings import AmazonBedrockEmbeddingsComponent
+from .AstraVectorize import AstraVectorizeComponent
 from .AzureOpenAIEmbeddings import AzureOpenAIEmbeddingsComponent
 from .CohereEmbeddings import CohereEmbeddingsComponent
 from .HuggingFaceEmbeddings import HuggingFaceEmbeddingsComponent
@@ -9,6 +10,7 @@ from .VertexAIEmbeddings import VertexAIEmbeddingsComponent
 
 __all__ = [
     "AmazonBedrockEmbeddingsComponent",
+    "AstraVectorizeComponent",
     "AzureOpenAIEmbeddingsComponent",
     "CohereEmbeddingsComponent",
     "HuggingFaceEmbeddingsComponent",