Bug: Fix issue with Pinecone custom namespaces not being created auto…

…matically (#38336)

airbyte-integrations/connectors/destination-pinecone/destination_pinecone/indexer.py

@@ -137,7 +137,9 @@ def index(self, document_chunks, namespace, streamName):
         for batch in serial_batches:
             async_results = []
             for ids_vectors_chunk in create_chunks(batch, batch_size=PINECONE_BATCH_SIZE):
-                async_result = self.pinecone_index.upsert(vectors=ids_vectors_chunk, async_req=True, show_progress=False)
+                async_result = self.pinecone_index.upsert(
+                    vectors=ids_vectors_chunk, async_req=True, show_progress=False, namespace=namespace
+                )
                 async_results.append(async_result)
             # Wait for and retrieve responses (this raises in case of error)
             [async_result.result() for async_result in async_results]

airbyte-integrations/connectors/destination-pinecone/integration_tests/pinecone_integration_test.py

@@ -9,7 +9,18 @@
 
 from airbyte_cdk.destinations.vector_db_based.embedder import OPEN_AI_VECTOR_SIZE
 from airbyte_cdk.destinations.vector_db_based.test_utils import BaseIntegrationTest
-from airbyte_cdk.models import DestinationSyncMode, Status
+from airbyte_cdk.models import (
+    AirbyteMessage,
+    AirbyteRecordMessage,
+    AirbyteStateMessage,
+    AirbyteStream,
+    ConfiguredAirbyteCatalog,
+    ConfiguredAirbyteStream,
+    DestinationSyncMode,
+    Status,
+    SyncMode,
+    Type,
+)
 from destination_pinecone.destination import DestinationPinecone
 from langchain.embeddings import OpenAIEmbeddings
 from langchain.vectorstores import Pinecone
@@ -47,7 +58,14 @@ def tearDown(self):
             if "Namespace not found" not in str(e):
                 raise(e)
             else :
-                print("Noting to delete. No data in the index/namespace.")
+                print("Nothing to delete in default namespace. No data in the index/namespace.")
+        try:
+            self.pinecone_index.delete(delete_all=True, namespace="ns1")
+        except PineconeException as e:
+            if "Namespace not found" not in str(e):
+                raise(e)
+            else :
+                print("Nothing to delete in ns1 namespace. No data in the index/namespace.")
 
     def test_integration_test_flag_is_set(self):
         assert "PYTEST_CURRENT_TEST" in os.environ
@@ -107,3 +125,44 @@ def test_write(self):
         vector_store = Pinecone(self.pinecone_index_rest, embeddings.embed_query, "text")
         result = vector_store.similarity_search("feline animals", 1)
         assert result[0].metadata["_ab_record_id"] == "mystream_2"
+
+    def test_write_with_namespace(self):
+        catalog = self._get_configured_catalog_with_namespace(DestinationSyncMode.overwrite)
+        first_state_message = self._state({"state": "1"})
+        first_record_chunk = [self._record_with_namespace("mystream", f"Dogs are number {i}", i) for i in range(5)]
+
+        # initial sync
+        destination = DestinationPinecone()
+        list(destination.write(self.config, catalog, [*first_record_chunk, first_state_message]))
+
+        self._wait() 
+        assert self.pinecone_index.describe_index_stats().total_vector_count == 5
+
+
+    def _get_configured_catalog_with_namespace(self, destination_mode: DestinationSyncMode) -> ConfiguredAirbyteCatalog:
+        stream_schema = {"type": "object", "properties": {"str_col": {"type": "str"}, "int_col": {"type": "integer"}, "random_col": {"type": "integer"}}}
+
+        overwrite_stream = ConfiguredAirbyteStream(
+            stream=AirbyteStream(
+                name="mystream", 
+                namespace="ns1",
+                json_schema=stream_schema, 
+                supported_sync_modes=[SyncMode.incremental, SyncMode.full_refresh]
+            ),
+            primary_key=[["int_col"]],
+            sync_mode=SyncMode.incremental,
+            destination_sync_mode=destination_mode,
+        )
+
+        return ConfiguredAirbyteCatalog(streams=[overwrite_stream])
+
+    def _record_with_namespace(self, stream: str, str_value: str, int_value: int) -> AirbyteMessage:
+        return AirbyteMessage(
+            type=Type.RECORD, record=AirbyteRecordMessage(stream=stream, 
+                                                          namespace="ns1",
+                                                          data={"str_col": str_value, "int_col": int_value}, 
+                                                          emitted_at=0)
+        )
+
+
+

airbyte-integrations/connectors/destination-pinecone/metadata.yaml

@@ -13,7 +13,7 @@ data:
   connectorSubtype: vectorstore
   connectorType: destination
   definitionId: 3d2b6f84-7f0d-4e3f-a5e5-7c7d4b50eabd
-  dockerImageTag: 0.1.1
+  dockerImageTag: 0.1.2
   dockerRepository: airbyte/destination-pinecone
   documentationUrl: https://docs.airbyte.com/integrations/destinations/pinecone
   githubIssueLabel: destination-pinecone

airbyte-integrations/connectors/destination-pinecone/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "poetry.core.masonry.api"
 
 [tool.poetry]
 name = "airbyte-destination-pinecone"
-version = "0.1.1"
+version = "0.1.2"
 description = "Airbyte destination implementation for Pinecone."
 authors = ["Airbyte <[email protected]>"]
 license = "MIT"

airbyte-integrations/connectors/destination-pinecone/unit_tests/pinecone_indexer_test.py

@@ -105,7 +105,8 @@ def test_pinecone_index_upsert_and_delete(mock_describe_index):
             (ANY, [4, 5, 6], {"_ab_stream": "abc", "text": "test2"}),
         ),
         async_req=True,
-        show_progress=False
+        show_progress=False,
+        namespace="ns1",
     )
 
 
@@ -139,6 +140,7 @@ def test_pinecone_index_upsert_and_delete_starter(mock_describe_index, mock_dete
         ),
         async_req=True,
         show_progress=False,
+        namespace="ns1",
     )
 
 def test_pinecone_index_upsert_and_delete_pod(mock_describe_index, mock_determine_spec_type):
@@ -168,6 +170,7 @@ def test_pinecone_index_upsert_and_delete_pod(mock_describe_index, mock_determin
         ),
         async_req=True,
         show_progress=False,
+        namespace="ns1",
     )
 
 def test_pinecone_index_upsert_and_delete_serverless(mock_describe_index, mock_determine_spec_type):
@@ -197,6 +200,7 @@ def test_pinecone_index_upsert_and_delete_serverless(mock_describe_index, mock_d
         ),
         async_req=True,
         show_progress=False,
+        namespace="ns1",
     )
 
 
@@ -356,4 +360,5 @@ def test_metadata_normalization():
         vectors=((ANY, [1, 2, 3], {"_ab_stream": "abc", "text": "test", "small": "a", "id": 1}),),
         async_req=True,
         show_progress=False,
+        namespace=None,
     )

docs/integrations/destinations/pinecone.md

@@ -76,6 +76,7 @@ OpenAI and Fake embeddings produce vectors with 1536 dimensions, and the Cohere
 
 | Version | Date       | Pull Request                                              | Subject                                                                                                                      |
 | :------ | :--------- | :-------------------------------------------------------- | :--------------------------------------------------------------------------------------------------------------------------- |
+| 0.1.2   | 2023-05-17 | [#38336](https://github.com/airbytehq/airbyte/pull/338336) | Fix for regression:Custom namespaces not created automatically
 | 0.1.1   | 2023-05-14 | [#38151](https://github.com/airbytehq/airbyte/pull/38151) | Add airbyte source tag for attribution
 | 0.1.0   | 2023-05-06 | [#37756](https://github.com/airbytehq/airbyte/pull/37756) | Add support for Pinecone Serverless                                                                                          |
 | 0.0.24  | 2023-04-15 | [#37333](https://github.com/airbytehq/airbyte/pull/37333) | Update CDK & pytest version to fix security vulnerabilities.                                                                 |