pinecone[patch]: Update Poetry requirements for pinecone-client >=3.2.2 (#22094)

This change updates the requirements in
`libs/partners/pinecone/pyproject.toml` to allow all versions of
`pinecone-client` greater than or equal to 3.2.2.

This change resolves issue
[21955](https://github.com/langchain-ai/langchain/issues/21955).

---------

Co-authored-by: Erick Friis <erickfriis@gmail.com>
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
pull/23233/head
Cory Waddingham 2 months ago committed by GitHub
parent abb3066150
commit cd6812342e
No known key found for this signature in database
GPG Key ID: B5690EEEBB952194

@ -118,6 +118,7 @@ class PineconeVectorStore(VectorStore):
embedding_chunk_size: int = 1000,
*,
async_req: bool = True,
id_prefix: Optional[str] = None,
**kwargs: Any,
) -> List[str]:
"""Run more texts through the embeddings and add to the vectorstore.
@ -133,6 +134,7 @@ class PineconeVectorStore(VectorStore):
namespace: Optional pinecone namespace to add the texts to.
batch_size: Batch size to use when adding the texts to the vectorstore.
embedding_chunk_size: Chunk size to use when embedding the texts.
id_prefix: Optional string to use as an ID prefix when upserting vectors.
Returns:
List of ids from adding the texts into the vectorstore.
@ -143,6 +145,10 @@ class PineconeVectorStore(VectorStore):
texts = list(texts)
ids = ids or [str(uuid.uuid4()) for _ in texts]
if id_prefix:
ids = [
id_prefix + "#" + id if id_prefix + "#" not in id else id for id in ids
]
metadatas = metadatas or [{} for _ in texts]
for metadata, text in zip(metadatas, texts):
metadata[self._text_key] = text
@ -406,6 +412,8 @@ class PineconeVectorStore(VectorStore):
upsert_kwargs: Optional[dict] = None,
pool_threads: int = 4,
embeddings_chunk_size: int = 1000,
*,
id_prefix: Optional[str] = None,
**kwargs: Any,
) -> PineconeVectorStore:
"""Construct Pinecone wrapper from raw documents.
@ -445,6 +453,7 @@ class PineconeVectorStore(VectorStore):
namespace=namespace,
batch_size=batch_size,
embedding_chunk_size=embeddings_chunk_size,
id_prefix=id_prefix,
**(upsert_kwargs or {}),
)
return pinecone

@ -318,7 +318,7 @@ files = [
[[package]]
name = "langchain-core"
version = "0.2.5"
version = "0.2.9"
description = "Building applications with LLMs through composability"
optional = false
python-versions = ">=3.8.1,<4.0"
@ -329,9 +329,12 @@ develop = true
jsonpatch = "^1.33"
langsmith = "^0.1.75"
packaging = ">=23.2,<25"
pydantic = ">=1,<3"
pydantic = [
{version = ">=1,<3", markers = "python_full_version < \"3.12.4\""},
{version = ">=2.7.4,<3.0.0", markers = "python_full_version >= \"3.12.4\""},
]
PyYAML = ">=5.3"
tenacity = "^8.1.0"
tenacity = "^8.1.0,!=8.4.0"
[package.source]
type = "directory"
@ -605,13 +608,13 @@ files = [
[[package]]
name = "pinecone-client"
version = "3.2.2"
version = "4.1.0"
description = "Pinecone client and SDK"
optional = false
python-versions = "<4.0,>=3.8"
files = [
{file = "pinecone_client-3.2.2-py3-none-any.whl", hash = "sha256:7e492fdda23c73726bc0cb94c689bb950d06fb94e82b701a0c610c2e830db327"},
{file = "pinecone_client-3.2.2.tar.gz", hash = "sha256:887a12405f90ac11c396490f605fc479f31cf282361034d1ae0fccc02ac75bee"},
{file = "pinecone_client-4.1.0-py3-none-any.whl", hash = "sha256:9cb9a66cab86b29d526cc99fe6ab151f577967a447c81448057dcd8682646a55"},
{file = "pinecone_client-4.1.0.tar.gz", hash = "sha256:42062a628e7a941d0bc24bb8afb026f3ad4d264cf06d6a627a3de583214ae3de"},
]
[package.dependencies]
@ -624,7 +627,7 @@ urllib3 = [
]
[package.extras]
grpc = ["googleapis-common-protos (>=1.53.0)", "grpc-gateway-protoc-gen-openapiv2 (==0.1.0)", "grpcio (>=1.44.0)", "grpcio (>=1.59.0)", "lz4 (>=3.1.3)", "protobuf (>=3.20.0,<3.21.0)"]
grpc = ["googleapis-common-protos (>=1.53.0)", "grpcio (>=1.44.0)", "grpcio (>=1.59.0)", "lz4 (>=3.1.3)", "protobuf (>=4.25,<5.0)", "protoc-gen-openapiv2 (>=0.0.1,<0.0.2)"]
[[package]]
name = "pluggy"
@ -660,6 +663,25 @@ typing-extensions = ">=4.6.1"
[package.extras]
email = ["email-validator (>=2.0.0)"]
[[package]]
name = "pydantic"
version = "2.7.4"
description = "Data validation using Python type hints"
optional = false
python-versions = ">=3.8"
files = [
{file = "pydantic-2.7.4-py3-none-any.whl", hash = "sha256:ee8538d41ccb9c0a9ad3e0e5f07bf15ed8015b481ced539a1759d8cc89ae90d0"},
{file = "pydantic-2.7.4.tar.gz", hash = "sha256:0c84efd9548d545f63ac0060c1e4d39bb9b14db8b3c0652338aecc07b5adec52"},
]
[package.dependencies]
annotated-types = ">=0.4.0"
pydantic-core = "2.18.4"
typing-extensions = ">=4.6.1"
[package.extras]
email = ["email-validator (>=2.0.0)"]
[[package]]
name = "pydantic-core"
version = "2.18.2"
@ -751,6 +773,97 @@ files = [
[package.dependencies]
typing-extensions = ">=4.6.0,<4.7.0 || >4.7.0"
[[package]]
name = "pydantic-core"
version = "2.18.4"
description = "Core functionality for Pydantic validation and serialization"
optional = false
python-versions = ">=3.8"
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]
[package.dependencies]
typing-extensions = ">=4.6.0,<4.7.0 || >4.7.0"
[[package]]
name = "pytest"
version = "7.4.4"
@ -1238,4 +1351,4 @@ watchmedo = ["PyYAML (>=3.10)"]
[metadata]
lock-version = "2.0"
python-versions = ">=3.8.1,<3.13"
content-hash = "95a680ed7442117495756dc115f0b73c513f9cb516376ea978040fd18e298811"
content-hash = "36269174f71176492bbde7c121e059007e531c942550cbf8f493a5a62cedf652"

@ -14,7 +14,7 @@ license = "MIT"
# <3.13 is due to restriction in pinecone-client package
python = ">=3.8.1,<3.13"
langchain-core = ">=0.1.52,<0.3"
pinecone-client = "^3.2.2"
pinecone-client = ">=3.2.2,<5"
# Support Python 3.8 and 3.12+.
numpy = [
{version = "^1", python = "<3.12"},

@ -1,6 +1,6 @@
from unittest.mock import Mock
from langchain_pinecone.vectorstores import Pinecone
from langchain_pinecone.vectorstores import Pinecone, PineconeVectorStore
def test_initialization() -> None:
@ -10,3 +10,16 @@ def test_initialization() -> None:
embedding = Mock()
text_key = "xyz"
Pinecone(index, embedding, text_key)
def test_id_prefix() -> None:
"""Test integration of the id_prefix parameter."""
embedding = Mock()
embedding.embed_documents = Mock(return_value=[0.1, 0.2, 0.3, 0.4, 0.5])
index = Mock()
index.upsert = Mock(return_value=None)
text_key = "testing"
vectorstore = PineconeVectorStore(index, embedding, text_key)
texts = ["alpha", "beta", "gamma", "delta", "epsilon"]
id_prefix = "testing_prefixes"
vectorstore.add_texts(texts, id_prefix=id_prefix, async_req=False)

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