community[patch]: Use uuid4 not uuid1 (#20487)

Using UUID1 is incorrect since it's time dependent, which makes it easy
to generate the exact same uuid

libs/community/langchain_community/vectorstores/analyticdb.py

@@ -157,7 +157,7 @@ class AnalyticDB(VectorStore):
             List of ids from adding the texts into the vectorstore.
         """
         if ids is None:
-            ids = [str(uuid.uuid1()) for _ in texts]
+            ids = [str(uuid.uuid4()) for _ in texts]
 
         embeddings = self.embedding_function.embed_documents(list(texts))
 

libs/community/langchain_community/vectorstores/atlas.py

@@ -119,7 +119,7 @@ class AtlasDB(VectorStore):
 
         texts = list(texts)
         if ids is None:
-            ids = [str(uuid.uuid1()) for _ in texts]
+            ids = [str(uuid.uuid4()) for _ in texts]
 
         # Embedding upload case
         if self._embedding_function is not None:

libs/community/langchain_community/vectorstores/bageldb.py

@@ -146,7 +146,7 @@ class Bagel(VectorStore):
         """
         # creating unique ids if None
         if ids is None:
-            ids = [str(uuid.uuid1()) for _ in texts]
+            ids = [str(uuid.uuid4()) for _ in texts]
 
         texts = list(texts)
         if self._embedding_function and embeddings is None and texts:

libs/community/langchain_community/vectorstores/dingo.py

@@ -107,7 +107,7 @@ class Dingo(VectorStore):
         """
 
         # Embed and create the documents
-        ids = ids or [str(uuid.uuid1().int)[:13] for _ in texts]
+        ids = ids or [str(uuid.uuid4().int)[:13] for _ in texts]
         metadatas_list = []
         texts = list(texts)
         embeds = self._embedding.embed_documents(texts)
@@ -347,7 +347,7 @@ class Dingo(VectorStore):
 
         # Embed and create the documents
 
-        ids = ids or [str(uuid.uuid1().int)[:13] for _ in texts]
+        ids = ids or [str(uuid.uuid4().int)[:13] for _ in texts]
         metadatas_list = []
         texts = list(texts)
         embeds = embedding.embed_documents(texts)

libs/community/langchain_community/vectorstores/hologres.py

@@ -80,7 +80,7 @@ class Hologres(VectorStore):
         **kwargs: Any,
     ) -> Hologres:
         if ids is None:
-            ids = [str(uuid.uuid1()) for _ in texts]
+            ids = [str(uuid.uuid4()) for _ in texts]
 
         if not metadatas:
             metadatas = [{} for _ in texts]
@@ -141,7 +141,7 @@ class Hologres(VectorStore):
             List of ids from adding the texts into the vectorstore.
         """
         if ids is None:
-            ids = [str(uuid.uuid1()) for _ in texts]
+            ids = [str(uuid.uuid4()) for _ in texts]
 
         embeddings = self.embedding_function.embed_documents(list(texts))
 

libs/community/langchain_community/vectorstores/kinetica.py

@@ -252,7 +252,7 @@ class Kinetica(VectorStore):
             Kinetica: An instance of Kinetica class
         """
         if ids is None:
-            ids = [str(uuid.uuid1()) for _ in texts]
+            ids = [str(uuid.uuid4()) for _ in texts]
 
         if not metadatas:
             metadatas = [{} for _ in texts]
@@ -330,7 +330,7 @@ class Kinetica(VectorStore):
             kwargs: vectorstore specific parameters
         """
         if ids is None:
-            ids = [str(uuid.uuid1()) for _ in texts]
+            ids = [str(uuid.uuid4()) for _ in texts]
 
         if not metadatas:
             metadatas = [{} for _ in texts]

libs/community/langchain_community/vectorstores/lantern.py

@@ -441,7 +441,7 @@ class Lantern(VectorStore):
             - Useful for testing.
         """
         if ids is None:
-            ids = [str(uuid.uuid1()) for _ in texts]
+            ids = [str(uuid.uuid4()) for _ in texts]
 
         if not metadatas:
             metadatas = [{} for _ in texts]

libs/community/langchain_community/vectorstores/pgembedding.py

@@ -237,7 +237,7 @@ class PGEmbedding(VectorStore):
         **kwargs: Any,
     ) -> PGEmbedding:
         if ids is None:
-            ids = [str(uuid.uuid1()) for _ in texts]
+            ids = [str(uuid.uuid4()) for _ in texts]
 
         if not metadatas:
             metadatas = [{} for _ in texts]
@@ -288,7 +288,7 @@ class PGEmbedding(VectorStore):
         **kwargs: Any,
     ) -> List[str]:
         if ids is None:
-            ids = [str(uuid.uuid1()) for _ in texts]
+            ids = [str(uuid.uuid4()) for _ in texts]
 
         embeddings = self.embedding_function.embed_documents(list(texts))
 

libs/community/langchain_community/vectorstores/pgvector.py

@@ -471,7 +471,7 @@ class PGVector(VectorStore):
         **kwargs: Any,
     ) -> PGVector:
         if ids is None:
-            ids = [str(uuid.uuid1()) for _ in texts]
+            ids = [str(uuid.uuid4()) for _ in texts]
 
         if not metadatas:
             metadatas = [{} for _ in texts]
@@ -511,7 +511,7 @@ class PGVector(VectorStore):
             kwargs: vectorstore specific parameters
         """
         if ids is None:
-            ids = [str(uuid.uuid1()) for _ in texts]
+            ids = [str(uuid.uuid4()) for _ in texts]
 
         if not metadatas:
             metadatas = [{} for _ in texts]

libs/community/langchain_community/vectorstores/timescalevector.py

@@ -150,7 +150,7 @@ class TimescaleVector(VectorStore):
         num_dimensions = len(embeddings[0])
 
         if ids is None:
-            ids = [str(uuid.uuid1()) for _ in texts]
+            ids = [str(uuid.uuid4()) for _ in texts]
 
         if not metadatas:
             metadatas = [{} for _ in texts]
@@ -191,7 +191,7 @@ class TimescaleVector(VectorStore):
         num_dimensions = len(embeddings[0])
 
         if ids is None:
-            ids = [str(uuid.uuid1()) for _ in texts]
+            ids = [str(uuid.uuid4()) for _ in texts]
 
         if not metadatas:
             metadatas = [{} for _ in texts]
@@ -232,7 +232,7 @@ class TimescaleVector(VectorStore):
             kwargs: vectorstore specific parameters
         """
         if ids is None:
-            ids = [str(uuid.uuid1()) for _ in texts]
+            ids = [str(uuid.uuid4()) for _ in texts]
 
         if not metadatas:
             metadatas = [{} for _ in texts]
@@ -259,7 +259,7 @@ class TimescaleVector(VectorStore):
             kwargs: vectorstore specific parameters
         """
         if ids is None:
-            ids = [str(uuid.uuid1()) for _ in texts]
+            ids = [str(uuid.uuid4()) for _ in texts]
 
         if not metadatas:
             metadatas = [{} for _ in texts]

libs/community/langchain_community/vectorstores/vdms.py

@@ -255,7 +255,7 @@ class VDMS(VectorStore):
         metadatas = metadatas if metadatas is not None else [None for _ in texts]
         _len_check_if_sized(texts, metadatas, "texts", "metadatas")
 
-        ids = ids if ids is not None else [str(uuid.uuid1()) for _ in texts]
+        ids = ids if ids is not None else [str(uuid.uuid4()) for _ in texts]
         _len_check_if_sized(texts, ids, "texts", "ids")
 
         all_queries: List[Any] = []
@@ -535,7 +535,7 @@ class VDMS(VectorStore):
                 metadatas.append({"image_path": uri})
 
         # Populate IDs
-        ids = ids if ids is not None else [str(uuid.uuid1()) for _ in uris]
+        ids = ids if ids is not None else [str(uuid.uuid4()) for _ in uris]
 
         # Set embeddings
         embeddings = self._embed_image(uris=uris)
@@ -577,7 +577,7 @@ class VDMS(VectorStore):
 
         texts = list(texts)
         if ids is None:
-            ids = [str(uuid.uuid1()) for _ in texts]
+            ids = [str(uuid.uuid4()) for _ in texts]
 
         embeddings = self._embed_documents(texts)
 
@@ -873,7 +873,7 @@ class VDMS(VectorStore):
             # **kwargs,
         )
         if ids is None:
-            ids = [str(uuid.uuid1()) for _ in texts]
+            ids = [str(uuid.uuid4()) for _ in texts]
         vdms_collection.add_texts(
             texts=texts,
             metadatas=metadatas,