Fix grpc timeouts when async_req=True

.github/workflows/testing-integration.yaml

@@ -82,6 +82,7 @@ jobs:
         python_version: ${{ fromJson(inputs.python_versions_json) }}
         test_suite:
           - data
+          - data_grpc_futures
     steps:
       - uses: actions/checkout@v4
       - name: Setup Poetry

pinecone/grpc/base.py

@@ -29,7 +29,15 @@ def __init__(
         _endpoint_override: Optional[str] = None,
     ):
         self.config = config
-        self.grpc_client_config = grpc_config or GRPCClientConfig()
+        # If grpc_config is passed, use it. Otherwise, build a new one with
+        # default values and passing in the ssl_verify value from the config.
+        if self.config.ssl_verify is None:
+            default_grpc_config = GRPCClientConfig()
+        else:
+            default_grpc_config = GRPCClientConfig(secure=self.config.ssl_verify)
+
+        self.grpc_client_config = grpc_config or default_grpc_config
+
         self.pool_threads = pool_threads
 
         self._endpoint_override = _endpoint_override

pinecone/grpc/future.py

@@ -75,10 +75,19 @@ def _timeout(self, timeout: Optional[int] = None) -> int:
             return self._default_timeout
 
     def _wrap_rpc_exception(self, e):
-        if e._state and e._state.debug_error_string:
-            return PineconeException(e._state.debug_error_string)
-        else:
-            return PineconeException("Unknown GRPC error")
+        # The way the grpc package is using multiple inheritance makes
+        # it a little unclear whether it's safe to always assume that
+        # the e.code(), e.details(), and e.debug_error_string() methods
+        # exist. So, we try/catch to avoid errors.
+        try:
+            grpc_info = {"grpc_error_code": e.code().value[0], "grpc_message": e.details()}
+
+            return PineconeException(f"GRPC error: {grpc_info}")
+        except Exception:
+            try:
+                return PineconeException(f"Unknown GRPC error: {e.debug_error_string()}")
+            except Exception:
+                return PineconeException(f"Unknown GRPC error: {e}")
 
     def __del__(self):
         self._grpc_future.cancel()

pinecone/grpc/index_grpc.py

@@ -12,6 +12,9 @@
     parse_fetch_response,
     parse_query_response,
     parse_stats_response,
+    parse_upsert_response,
+    parse_update_response,
+    parse_delete_response,
 )
 from .vector_factory_grpc import VectorFactoryGRPC
 from .sparse_values_factory import SparseValuesFactory
@@ -145,7 +148,9 @@ def upsert(
             args_dict = self._parse_non_empty_args([("namespace", namespace)])
             request = UpsertRequest(vectors=vectors, **args_dict, **kwargs)
             future = self.runner.run(self.stub.Upsert.future, request, timeout=timeout)
-            return PineconeGrpcFuture(future)
+            return PineconeGrpcFuture(
+                future, timeout=timeout, result_transformer=parse_upsert_response
+            )
 
         if batch_size is None:
             return self._upsert_batch(vectors, namespace, timeout=timeout, **kwargs)
@@ -297,7 +302,9 @@ def delete(
         request = DeleteRequest(**args_dict, **kwargs)
         if async_req:
             future = self.runner.run(self.stub.Delete.future, request, timeout=timeout)
-            return PineconeGrpcFuture(future)
+            return PineconeGrpcFuture(
+                future, timeout=timeout, result_transformer=parse_delete_response
+            )
         else:
             return self.runner.run(self.stub.Delete, request, timeout=timeout)
 
@@ -334,7 +341,9 @@ def fetch(
 
         if async_req:
             future = self.runner.run(self.stub.Fetch.future, request, timeout=timeout)
-            return PineconeGrpcFuture(future, result_transformer=parse_fetch_response)
+            return PineconeGrpcFuture(
+                future, result_transformer=parse_fetch_response, timeout=timeout
+            )
         else:
             response = self.runner.run(self.stub.Fetch, request, timeout=timeout)
             return parse_fetch_response(response)
@@ -424,7 +433,9 @@ def query(
 
         if async_req:
             future = self.runner.run(self.stub.Query.future, request, timeout=timeout)
-            return PineconeGrpcFuture(future)
+            return PineconeGrpcFuture(
+                future, result_transformer=parse_query_response, timeout=timeout
+            )
         else:
             response = self.runner.run(self.stub.Query, request, timeout=timeout)
             json_response = json_format.MessageToDict(response)
@@ -535,7 +546,9 @@ def update(
         request = UpdateRequest(id=id, **args_dict)
         if async_req:
             future = self.runner.run(self.stub.Update.future, request, timeout=timeout)
-            return PineconeGrpcFuture(future)
+            return PineconeGrpcFuture(
+                future, timeout=timeout, result_transformer=parse_update_response
+            )
         else:
             return self.runner.run(self.stub.Update, request, timeout=timeout)
 

pinecone/grpc/pinecone.py

@@ -133,5 +133,6 @@ def Index(self, name: str = "", host: str = "", **kwargs):
             source_tag=self._config.source_tag,
             proxy_url=self._config.proxy_url,
             ssl_ca_certs=self._config.ssl_ca_certs,
+            ssl_verify=self._config.ssl_verify,
         )
         return GRPCIndex(index_name=name, config=config, pool_threads=pt, **kwargs)

pinecone/grpc/utils.py

@@ -1,4 +1,4 @@
-from typing import Optional
+from typing import Optional, Union
 from google.protobuf import json_format
 from google.protobuf.message import Message
 
@@ -11,6 +11,7 @@
     SparseValues,
     QueryResponse,
     IndexDescription as DescribeIndexStatsResponse,
+    UpsertResponse,
     NamespaceSummary,
 )
 from pinecone.db_data.dataclasses import FetchResponse
@@ -63,9 +64,28 @@ def parse_usage(usage: dict):
     return Usage(read_units=int(usage.get("readUnits", 0)))
 
 
-def parse_query_response(response: dict, _check_type: bool = False):
+def parse_upsert_response(response: Message, _check_type: bool = False):
+    json_response = json_format.MessageToDict(response)
+    upserted_count = json_response.get("upsertedCount", 0)
+    return UpsertResponse(upserted_count=int(upserted_count))
+
+
+def parse_update_response(response: Union[dict, Message], _check_type: bool = False):
+    return {}
+
+
+def parse_delete_response(response: Union[dict, Message], _check_type: bool = False):
+    return {}
+
+
+def parse_query_response(response: Union[dict, Message], _check_type: bool = False):
+    if isinstance(response, Message):
+        json_response = json_format.MessageToDict(response)
+    else:
+        json_response = response
+
     matches = []
-    for item in response.get("matches", []):
+    for item in json_response.get("matches", []):
         sc = ScoredVector(
             id=item["id"],
             score=item.get("score", 0.0),
@@ -80,11 +100,11 @@ def parse_query_response(response: dict, _check_type: bool = False):
     # creating empty `Usage` objects and then passing them into QueryResponse
     # when they are not actually present in the response from the server.
     args = {
-        "namespace": response.get("namespace", ""),
+        "namespace": json_response.get("namespace", ""),
         "matches": matches,
         "_check_type": _check_type,
     }
-    usage = response.get("usage")
+    usage = json_response.get("usage")
     if usage:
         args["usage"] = parse_usage(usage)
     return QueryResponse(**args)

tests/integration/data_grpc_futures/conftest.py

@@ -0,0 +1,109 @@
+import pytest
+import json
+import uuid
+from ..helpers import get_environment_var, index_tags as index_tags_helper, generate_name
+import logging
+from pinecone import EmbedModel, CloudProvider, AwsRegion, IndexEmbed
+from pinecone.grpc import PineconeGRPC
+
+logger = logging.getLogger(__name__)
+
+RUN_ID = str(uuid.uuid4())
+
+created_indexes = []
+
+
+@pytest.fixture(scope="session")
+def index_tags(request):
+    return index_tags_helper(request, RUN_ID)
+
+
+@pytest.fixture(scope="session")
+def pc():
+    return PineconeGRPC()
+
+
+@pytest.fixture(scope="session")
+def spec():
+    spec_json = get_environment_var(
+        "SPEC", '{"serverless": {"cloud": "aws", "region": "us-east-1" }}'
+    )
+    return json.loads(spec_json)
+
+
+@pytest.fixture(scope="session")
+def model_idx(pc, index_tags, request):
+    model_index_name = generate_name(request.node.name, "embed")
+    if not pc.has_index(name=model_index_name):
+        logger.info(f"Creating index {model_index_name}")
+        pc.create_index_for_model(
+            name=model_index_name,
+            cloud=CloudProvider.AWS,
+            region=AwsRegion.US_WEST_2,
+            embed=IndexEmbed(
+                model=EmbedModel.Multilingual_E5_Large,
+                field_map={"text": "my_text_field"},
+                metric="cosine",
+            ),
+            tags=index_tags,
+        )
+        created_indexes.append(model_index_name)
+    else:
+        logger.info(f"Index {model_index_name} already exists")
+
+    description = pc.describe_index(name=model_index_name)
+    return pc.Index(host=description.host)
+
+
+def create_index(pc, create_args):
+    if not pc.has_index(name=create_args["name"]):
+        logger.info(f"Creating index {create_args['name']}")
+        pc.create_index(**create_args)
+    else:
+        logger.info(f"Index {create_args['name']} already exists")
+
+    host = pc.describe_index(name=create_args["name"]).host
+
+    return host
+
+
+@pytest.fixture(scope="session")
+def idx(pc, spec, index_tags, request):
+    index_name = generate_name(request.node.name, "dense")
+    logger.info(f"Request: {request.node}")
+    create_args = {
+        "name": index_name,
+        "dimension": 2,
+        "metric": "cosine",
+        "spec": spec,
+        "tags": index_tags,
+    }
+    host = create_index(pc, create_args)
+    logger.info(f"Using index {index_name} with host {host} as idx")
+    created_indexes.append(index_name)
+    return pc.Index(host=host)
+
+
+@pytest.fixture(scope="session")
+def sparse_idx(pc, spec, index_tags, request):
+    index_name = generate_name(request.node.name, "sparse")
+    create_args = {
+        "name": index_name,
+        "metric": "dotproduct",
+        "spec": spec,
+        "vector_type": "sparse",
+        "tags": index_tags,
+    }
+    host = create_index(pc, create_args)
+    created_indexes.append(index_name)
+    return pc.Index(host=host)
+
+
+def pytest_sessionfinish(session, exitstatus):
+    for index in created_indexes:
+        try:
+            logger.info(f"Deleting index {index}")
+            pc = PineconeGRPC()
+            pc.delete_index(name=index, timeout=-1)
+        except Exception as e:
+            logger.error(f"Error deleting index {index}: {e}")

tests/integration/data_grpc_futures/stub_backend.py

@@ -0,0 +1,95 @@
+import time
+import grpc
+import logging
+from concurrent import futures
+import pinecone.core.grpc.protos.db_data_2025_01_pb2 as pb2
+import pinecone.core.grpc.protos.db_data_2025_01_pb2_grpc as pb2_grpc
+
+logger = logging.getLogger(__name__)
+
+
+class TestVectorService(pb2_grpc.VectorServiceServicer):
+    def __init__(self, sleep_seconds=5):
+        self.sleep_seconds = sleep_seconds
+
+    def Upsert(self, request, context):
+        # Simulate a delay that will cause a timeout
+        logger.info("Received an upsert request from test client")
+        logger.info(f"Request: {request}")
+        logger.info(f"Sleeping for {self.sleep_seconds} seconds to simulate a slow server call")
+        time.sleep(self.sleep_seconds)
+        logger.info(f"Done sleeping for {self.sleep_seconds} seconds")
+        logger.info("Returning an upsert response from test server")
+        return pb2.UpsertResponse(upserted_count=1)
+
+    def Query(self, request, context):
+        # Simulate a delay that will cause a timeout
+        logger.info("Received a query request from test client")
+        logger.info(f"Request: {request}")
+
+        logger.info(f"Sleeping for {self.sleep_seconds} seconds to simulate a slow server call")
+        time.sleep(self.sleep_seconds)
+        logger.info(f"Done sleeping for {self.sleep_seconds} seconds")
+        logger.info("Returning a query response from test server")
+        return pb2.QueryResponse(
+            results=[],
+            matches=[pb2.ScoredVector(id="1", score=1.0, values=[1.0, 2.0, 3.0])],
+            namespace="testnamespace",
+            usage=pb2.Usage(read_units=1),
+        )
+
+    def Update(self, request, context):
+        # Simulate a delay that will cause a timeout
+        logger.info("Received an update request from test client")
+        logger.info(f"Request: {request}")
+        logger.info(f"Sleeping for {self.sleep_seconds} seconds to simulate a slow server call")
+        time.sleep(self.sleep_seconds)
+        logger.info(f"Done sleeping for {self.sleep_seconds} seconds")
+        logger.info("Returning an update response from test server")
+        return pb2.UpdateResponse()
+
+    def Delete(self, request, context):
+        # Simulate a delay that will cause a timeout
+        logger.info("Received a delete request from test client")
+        logger.info(f"Request: {request}")
+        logger.info(f"Sleeping for {self.sleep_seconds} seconds to simulate a slow server call")
+        time.sleep(self.sleep_seconds)
+        logger.info(f"Done sleeping for {self.sleep_seconds} seconds")
+        logger.info("Returning a delete response from test server")
+        return pb2.DeleteResponse()
+
+    def Fetch(self, request, context):
+        logger.info("Received a fetch request from test client")
+        logger.info(f"Request: {request}")
+        logger.info(f"Sleeping for {self.sleep_seconds} seconds to simulate a slow server call")
+        time.sleep(self.sleep_seconds)
+        logger.info(f"Done sleeping for {self.sleep_seconds} seconds")
+        logger.info("Returning a fetch response from test server")
+        return pb2.FetchResponse(
+            vectors={
+                "1": pb2.Vector(id="1", values=[1.0, 2.0, 3.0]),
+                "2": pb2.Vector(id="2", values=[4.0, 5.0, 6.0]),
+                "3": pb2.Vector(id="3", values=[7.0, 8.0, 9.0]),
+            },
+            namespace="testnamespace",
+            usage=pb2.Usage(read_units=1),
+        )
+
+
+def create_sleepy_test_server(port=50051, sleep_seconds=5):
+    """Creates and returns a configured gRPC server for testing.
+
+    Args:
+        port (int): The port number to run the server on
+        sleep_seconds (int): The extra latency in seconds for simulated operations
+
+    Returns:
+        grpc.Server: A configured and started gRPC server instance
+    """
+    server = grpc.server(futures.ThreadPoolExecutor(max_workers=10))
+    pb2_grpc.add_VectorServiceServicer_to_server(
+        TestVectorService(sleep_seconds=sleep_seconds), server
+    )
+    server.add_insecure_port(f"[::]:{port}")
+    server.start()
+    return server