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참고/neo4j-graphrag-python-main/tests/e2e/pinecone_e2e/test_pinecone_e2e.py

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+#  Copyright (c) "Neo4j"
+#  Neo4j Sweden AB [https://neo4j.com]
+#  #
+#  Licensed under the Apache License, Version 2.0 (the "License");
+#  you may not use this file except in compliance with the License.
+#  You may obtain a copy of the License at
+#  #
+#      https://www.apache.org/licenses/LICENSE-2.0
+#  #
+#  Unless required by applicable law or agreed to in writing, software
+#  distributed under the License is distributed on an "AS IS" BASIS,
+#  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+#  See the License for the specific language governing permissions and
+#  limitations under the License.
+import re
+from typing import Any, Generator
+from unittest import mock
+from unittest.mock import MagicMock
+
+import pytest
+from neo4j_graphrag.embeddings.base import Embedder
+from neo4j_graphrag.embeddings.sentence_transformers import (
+    SentenceTransformerEmbeddings,
+)
+from neo4j_graphrag.retrievers import PineconeNeo4jRetriever
+from neo4j_graphrag.types import RetrieverResult, RetrieverResultItem
+from pinecone import Pinecone
+
+from ..utils import EMBEDDING_BIOLOGY, build_data_objects, populate_neo4j
+
+
+@pytest.fixture(scope="module")
+def sentence_transformer_embedder() -> (
+    Generator[SentenceTransformerEmbeddings, Any, Any]
+):
+    embedder = SentenceTransformerEmbeddings(model="all-MiniLM-L6-v2")
+    yield embedder
+
+
+@pytest.fixture(scope="module")
+def client() -> MagicMock:
+    return MagicMock(spec=Pinecone)
+
+
+@pytest.fixture(scope="module")
+def populate_neo4j_db(driver: MagicMock) -> None:
+    driver.execute_query("MATCH (n) DETACH DELETE n")
+    neo4j_objects, _ = build_data_objects("pinecone")
+    populate_neo4j(driver, neo4j_objects)
+
+
+@pytest.mark.usefixtures("populate_neo4j_db")
+def test_pinecone_neo4j_vector_input(driver: MagicMock, client: MagicMock) -> None:
+    retriever = PineconeNeo4jRetriever(
+        driver=driver,
+        client=client,
+        index_name="jeopardy",
+        id_property_neo4j="id",
+        node_label_neo4j="`Question`",
+    )
+    with mock.patch.object(retriever, "index") as mock_index:
+        top_k = 2
+        mock_index.query.return_value = {
+            "matches": [
+                {
+                    "id": "question_c458c6f64d8d47429636bc5a94c97f51",
+                    "score": 0.232427984,
+                    "values": [],
+                },
+                {
+                    "id": "question_3d53154d16068c1e86e024923bc220d8",
+                    "score": 0.184265107,
+                    "values": [],
+                },
+            ],
+            "namespace": "",
+            "usage": {"read_units": 5},
+        }
+
+        results = retriever.search(query_vector=EMBEDDING_BIOLOGY, top_k=top_k)
+
+        assert isinstance(results, RetrieverResult)
+        assert len(results.items) == top_k
+        for result in results.items:
+            assert isinstance(result, RetrieverResultItem)
+        pattern = (
+            r"<Record node=<Node element_id='.+' "
+            r"labels=frozenset\({'Question'}\) properties={'question': 'In 1953 Watson \& "
+            "Crick built a model of the molecular structure of this, the gene-carrying "
+            "substance', 'id': 'question_c458c6f64d8d47429636bc5a94c97f51'}> "
+            r"score=0.232427984>"
+        )
+        assert re.match(pattern, results.items[0].content)
+
+
+@pytest.mark.usefixtures("populate_neo4j_db")
+def test_pinecone_neo4j_text_input(
+    driver: MagicMock, client: MagicMock, sentence_transformer_embedder: Embedder
+) -> None:
+    retriever = PineconeNeo4jRetriever(
+        driver=driver,
+        client=client,
+        index_name="jeopardy",
+        id_property_neo4j="id",
+        embedder=sentence_transformer_embedder,
+    )
+    with mock.patch.object(retriever, "index") as mock_index:
+        top_k = 2
+        mock_index.query.return_value = {
+            "matches": [
+                {
+                    "id": "question_c458c6f64d8d47429636bc5a94c97f51",
+                    "score": 0.232427984,
+                    "values": [],
+                },
+                {
+                    "id": "question_3d53154d16068c1e86e024923bc220d8",
+                    "score": 0.184265107,
+                    "values": [],
+                },
+            ],
+            "namespace": "",
+            "usage": {"read_units": 5},
+        }
+
+        results = retriever.search(query_text="biology", top_k=top_k)
+
+        assert isinstance(results, RetrieverResult)
+        assert len(results.items) == top_k
+        for result in results.items:
+            assert isinstance(result, RetrieverResultItem)
+        pattern = (
+            r"<Record node=<Node element_id='.+' "
+            r"labels=frozenset\({'Question'}\) properties={'question': 'In 1953 Watson \& "
+            "Crick built a model of the molecular structure of this, the gene-carrying "
+            "substance', 'id': 'question_c458c6f64d8d47429636bc5a94c97f51'}> "
+            r"score=0.232427984>"
+        )
+        assert re.match(pattern, results.items[0].content)