Vec 308 0.10.0

docs/docs/integrations/vectorstores/aerospike.ipynb

@@ -51,7 +51,7 @@
    },
    "outputs": [],
    "source": [
-    "!pip install --upgrade --quiet aerospike-vector-search==1.0.0 langchain-community sentence-transformers langchain"
+    "!pip install --upgrade --quiet aerospike-vector-search==2.0.0 langchain-community sentence-transformers langchain"
    ]
   },
   {

libs/community/langchain_community/vectorstores/aerospike.py

@@ -155,7 +155,7 @@ def convert_distance_strategy(
     def add_texts(
         self,
         texts: Iterable[str],
-        labels: Optional[List[dict[str, str]]] = None,
+        metadatas: Optional[List[dict]] = None,
         ids: Optional[List[str]] = None,
         set_name: Optional[str] = None,
         embedding_chunk_size: int = 1000,
@@ -168,7 +168,7 @@ def add_texts(
 
         Args:
             texts: Iterable of strings to add to the vectorstore.
-            labels: Optional list of labels associated with the texts.
+            metadatas: Optional list of metadata associated with the texts.
             ids: Optional list of ids to associate with the texts.
             set_name: Optional aerospike set name to add the texts to.
             batch_size: Batch size to use when adding the texts to the vectorstore.
@@ -197,24 +197,24 @@ def add_texts(
         ids = ids or [str(uuid.uuid4()) for _ in texts]
 
         # We need to shallow copy so that we can add the vector and text keys
-        if labels:
-            labels = [m.copy() for m in labels]
+        if metadatas:
+            metadatas = [m.copy() for m in metadatas]
         else:
-            labels = labels or [{} for _ in texts]
+            metadatas = metadatas or [{} for _ in texts]
 
         for i in range(0, len(texts), embedding_chunk_size):
             chunk_texts = texts[i : i + embedding_chunk_size]
             chunk_ids = ids[i : i + embedding_chunk_size]
-            chunk_labels = labels[i : i + embedding_chunk_size]
+            chunk_metadatas = metadatas[i : i + embedding_chunk_size]
             embeddings = self._embed_documents(chunk_texts)
 
             for metadata, embedding, text in zip(
-                chunk_labels, embeddings, chunk_texts
+                chunk_metadatas, embeddings, chunk_texts
             ):
                 metadata[self._vector_key] = embedding
                 metadata[self._text_key] = text
 
-            for id, metadata in zip(chunk_ids, chunk_labels):
+            for id, metadata in zip(chunk_ids, chunk_metadatas):
                 metadata[self._id_key] = id
                 self._client.upsert(
                     namespace=self._namespace,
@@ -545,7 +545,7 @@ def from_texts(
         cls,
         texts: List[str],
         embedding: Embeddings,
-        labels: Optional[List[dict]] = None,
+        metadatas: Optional[List[dict]] = None,
         client: Client = None,
         namespace: str = "test",
         index_name: Optional[str] = None,
@@ -589,7 +589,7 @@ def from_texts(
 
         aerospike.add_texts(
             texts,
-            labels=labels,
+            metadatas=metadatas,
             ids=ids,
             index_name=index_name,
             embedding_chunk_size=embeddings_chunk_size,

libs/community/pyproject.toml

@@ -54,8 +54,9 @@ select = [ "E", "F", "I", "T201",]
 omit = [ "tests/*",]
 
 [tool.pytest.ini_options]
-addopts = "--strict-markers --strict-config --durations=5 -vv"
+addopts = "--strict-markers --strict-config --durations=5 --snapshot-warn-unused -vv"
 markers = [ "requires: mark tests as requiring a specific library", "scheduled: mark tests to run in scheduled testing", "compile: mark placeholder test used to compile integration tests without running them",]
+asyncio_mode = "auto"
 
 [tool.poetry.group.test]
 optional = true

libs/community/tests/integration_tests/vectorstores/docker-compose/aerospike/docker-compose.yml

@@ -11,7 +11,7 @@ services:
       - "--config-file"
       - "/opt/aerospike/etc/aerospike/aerospike.conf"
   avs:
-    image: aerospike/aerospike-vector-search:0.9.0
+    image: aerospike/aerospike-vector-search:0.10.0
     ports:
       - "5002:5002"
     networks: