311 lines
10 KiB
Python
311 lines
10 KiB
Python
# Copyright (c) "Neo4j"
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# Neo4j Sweden AB [https://neo4j.com]
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# #
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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# #
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# https://www.apache.org/licenses/LICENSE-2.0
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# #
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from types import SimpleNamespace
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from typing import Optional
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from unittest.mock import MagicMock
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import neo4j
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import pytest
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from neo4j_graphrag.exceptions import RetrieverInitializationError
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from neo4j_graphrag.retrievers import WeaviateNeo4jRetriever
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from neo4j_graphrag.retrievers.external.utils import get_match_query
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from neo4j_graphrag.types import RetrieverResult, RetrieverResultItem
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from weaviate.client import WeaviateClient
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# Weaviate class with fake methods
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class WClient(WeaviateClient):
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def __init__(
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self,
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node_id_value: Optional[str] = None,
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node_match_score: Optional[float] = None,
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) -> None:
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self.collections = MagicMock()
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self.collections.get = MagicMock()
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query = MagicMock()
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self.collections.get.return_value = SimpleNamespace(query=query)
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query.near_text.return_value = SimpleNamespace(
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objects=[
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SimpleNamespace(
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properties={"neo4j_id": node_id_value},
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metadata=SimpleNamespace(certainty=node_match_score),
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)
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]
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)
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def test_text_search_remote_vector_store_happy_path(driver: MagicMock) -> None:
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query_text = "may thy knife chip and shatter"
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top_k = 5
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node_id_value = "node-test-id"
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node_match_score = 0.9
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wc = WClient(node_id_value=node_id_value, node_match_score=node_match_score)
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retriever = WeaviateNeo4jRetriever(
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driver=driver,
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client=wc,
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collection="dummy-collection",
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id_property_neo4j="sync_id",
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id_property_external="neo4j_id",
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)
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driver.execute_query.return_value = [
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[neo4j.Record({"node": {"sync_id": node_id_value}, "score": node_match_score})],
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None,
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None,
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]
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search_query = get_match_query()
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records = retriever.search(query_text=query_text, top_k=top_k)
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driver.execute_query.assert_called_once_with(
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search_query,
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{
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"match_params": [
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(node_id_value, node_match_score),
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],
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"id_property": "sync_id",
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},
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database_=None,
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routing_=neo4j.RoutingControl.READ,
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)
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assert records == RetrieverResult(
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items=[
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RetrieverResultItem(
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content="<Record node={'sync_id': 'node-test-id'} score=0.9>",
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metadata=None,
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),
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],
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metadata={"__retriever": "WeaviateNeo4jRetriever"},
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)
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def test_invalid_neo4j_database_name(driver: MagicMock) -> None:
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node_id_value = "node-test-id"
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node_match_score = 0.9
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wc = WClient(node_id_value=node_id_value, node_match_score=node_match_score)
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with pytest.raises(RetrieverInitializationError) as exc_info:
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WeaviateNeo4jRetriever(
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driver=driver,
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client=wc,
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collection="dummy-collection",
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id_property_neo4j="sync_id",
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id_property_external="neo4j_id",
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neo4j_database=42, # type: ignore
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)
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assert "neo4j_database" in str(exc_info.value)
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assert "Input should be a valid string" in str(exc_info.value)
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def test_text_search_remote_vector_store_return_properties(driver: MagicMock) -> None:
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query_text = "may thy knife chip and shatter"
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top_k = 5
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node_id_value = "node-test-id"
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node_match_score = 0.9
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wc = WClient(node_id_value=node_id_value, node_match_score=node_match_score)
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retriever = WeaviateNeo4jRetriever(
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driver=driver,
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client=wc,
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collection="dummy-collection",
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id_property_neo4j="sync_id",
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id_property_external="neo4j_id",
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return_properties=["sync_id"],
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)
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driver.execute_query.return_value = [
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[neo4j.Record({"node": {"sync_id": node_id_value}, "score": node_match_score})],
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None,
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None,
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]
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search_query = get_match_query(return_properties=["sync_id"])
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records = retriever.search(query_text=query_text, top_k=top_k)
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driver.execute_query.assert_called_once_with(
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search_query,
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{
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"match_params": [
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(node_id_value, node_match_score),
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],
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"id_property": "sync_id",
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},
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database_=None,
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routing_=neo4j.RoutingControl.READ,
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)
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assert records == RetrieverResult(
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items=[
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RetrieverResultItem(
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content="<Record node={'sync_id': 'node-test-id'} score=0.9>",
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metadata=None,
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),
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],
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metadata={"__retriever": "WeaviateNeo4jRetriever"},
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)
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def test_text_search_remote_vector_store_retrieval_query(driver: MagicMock) -> None:
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query_text = "may thy knife chip and shatter"
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top_k = 5
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node_id_value = "node-test-id"
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node_match_score = 0.9
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retrieval_query = "WITH node MATCH (node)--(m) RETURN n, m LIMIT 10"
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wc = WClient(node_id_value=node_id_value, node_match_score=node_match_score)
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retriever = WeaviateNeo4jRetriever(
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driver=driver,
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client=wc,
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collection="dummy-collection",
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id_property_neo4j="sync_id",
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id_property_external="neo4j_id",
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retrieval_query=retrieval_query,
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)
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driver.execute_query.return_value = [
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[neo4j.Record({"node": {"sync_id": node_id_value}, "score": node_match_score})],
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None,
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None,
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]
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search_query = get_match_query(retrieval_query=retrieval_query)
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records = retriever.search(query_text=query_text, top_k=top_k)
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driver.execute_query.assert_called_once_with(
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search_query,
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{
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"match_params": [
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(node_id_value, node_match_score),
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],
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"id_property": "sync_id",
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},
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database_=None,
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routing_=neo4j.RoutingControl.READ,
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)
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assert records == RetrieverResult(
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items=[
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RetrieverResultItem(
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content="<Record node={'sync_id': 'node-test-id'} score=0.9>",
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metadata=None,
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),
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],
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metadata={"__retriever": "WeaviateNeo4jRetriever"},
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)
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def test_match_query() -> None:
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match_query = get_match_query()
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expected = (
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"UNWIND $match_params AS match_param "
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"WITH match_param[0] AS match_id_value, match_param[1] AS score "
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"MATCH (node) "
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"WHERE node[$id_property] = match_id_value "
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"RETURN node, score"
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)
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assert match_query.strip() == expected.strip()
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def test_match_query_with_return_properties() -> None:
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match_query = get_match_query(return_properties=["name", "age"])
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expected = (
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"UNWIND $match_params AS match_param "
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"WITH match_param[0] AS match_id_value, match_param[1] AS score "
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"MATCH (node) "
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"WHERE node[$id_property] = match_id_value "
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"RETURN node {.name, .age} AS node, labels(node) AS nodeLabels, elementId(node) AS elementId, elementId(node) AS id, score"
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)
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assert match_query.strip() == expected.strip()
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def test_match_query_with_retrieval_query() -> None:
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retrieval_query = "WITH node MATCH (node)--(m) RETURN node, m LIMIT 10"
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match_query = get_match_query(retrieval_query=retrieval_query)
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expected = (
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"UNWIND $match_params AS match_param "
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"WITH match_param[0] AS match_id_value, match_param[1] AS score "
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"MATCH (node) "
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"WHERE node[$id_property] = match_id_value " + retrieval_query
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)
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assert match_query.strip() == expected.strip()
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def test_match_query_with_both_return_properties_and_retrieval_query() -> None:
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# Should ignore return_properties
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retrieval_query = "WITH node MATCH (node)--(m) RETURN node, m LIMIT 10"
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match_query = get_match_query(
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return_properties=["name", "age"], retrieval_query=retrieval_query
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)
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expected = (
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"UNWIND $match_params AS match_param "
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"WITH match_param[0] AS match_id_value, match_param[1] AS score "
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"MATCH (node) "
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"WHERE node[$id_property] = match_id_value " + retrieval_query
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)
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assert match_query.strip() == expected.strip()
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def test_match_query_with_custom_node_label() -> None:
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match_query = get_match_query(
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return_properties=["name", "age"], node_label="`MyNodeLabel`"
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)
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expected = (
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"UNWIND $match_params AS match_param "
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"WITH match_param[0] AS match_id_value, match_param[1] AS score "
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"MATCH (node:`MyNodeLabel`) "
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"WHERE node[$id_property] = match_id_value "
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"RETURN node {.name, .age} AS node, labels(node) AS nodeLabels, elementId(node) AS elementId, elementId(node) AS id, score "
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)
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assert match_query.strip() == expected.strip()
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def test_weaviate_retriever_with_result_format_function(
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driver: MagicMock, neo4j_record: MagicMock, result_formatter: MagicMock
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) -> None:
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query_text = "may thy knife chip and shatter"
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top_k = 5
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node_id_value = "node-test-id"
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node_match_score = 0.9
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wc = WClient(node_id_value=node_id_value, node_match_score=node_match_score)
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retriever = WeaviateNeo4jRetriever(
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driver=driver,
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client=wc,
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collection="dummy-collection",
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id_property_neo4j="sync_id",
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id_property_external="neo4j_id",
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result_formatter=result_formatter,
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)
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driver.execute_query.return_value = [
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[neo4j_record],
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None,
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None,
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]
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records = retriever.search(query_text=query_text, top_k=top_k)
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assert records == RetrieverResult(
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items=[
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RetrieverResultItem(
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content="dummy-node", metadata={"score": 1.0, "node_id": 123}
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),
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],
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metadata={"__retriever": "WeaviateNeo4jRetriever"},
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)
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