mirror of
https://github.com/hwchase17/langchain
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0551bc90a5
Zep now supports persisting custom metadata with messages and hybrid search across both message embeddings and structured metadata. This PR implements custom metadata and enhancements to the `ZepChatMessageHistory` and `ZepRetriever` classes to implement this support. Tag maintainers/contributors who might be interested: VectorStores / Retrievers / Memory - @dev2049 --------- Co-authored-by: Daniel Chalef <daniel.chalef@private.org>
112 lines
3.3 KiB
Python
112 lines
3.3 KiB
Python
from __future__ import annotations
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import copy
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from typing import TYPE_CHECKING, List
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import pytest
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from pytest_mock import MockerFixture
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from langchain.retrievers import ZepRetriever
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from langchain.schema import Document
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if TYPE_CHECKING:
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from zep_python import MemorySearchResult, ZepClient
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@pytest.fixture
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def search_results() -> List[MemorySearchResult]:
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from zep_python import MemorySearchResult, Message
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search_result = [
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{
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"message": {
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"uuid": "66830914-19f5-490b-8677-1ba06bcd556b",
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"created_at": "2023-05-18T20:40:42.743773Z",
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"role": "user",
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"content": "I'm looking to plan a trip to Iceland. Can you help me?",
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"token_count": 17,
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},
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"summary": None,
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"dist": 0.8734284910450115,
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},
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{
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"message": {
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"uuid": "015e618c-ba9d-45b6-95c3-77a8e611570b",
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"created_at": "2023-05-18T20:40:42.743773Z",
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"role": "user",
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"content": "How much does a trip to Iceland typically cost?",
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"token_count": 12,
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},
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"summary": None,
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"dist": 0.8554048017463456,
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},
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]
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return [
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MemorySearchResult(
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message=Message.parse_obj(result["message"]),
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summary=result["summary"],
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dist=result["dist"],
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)
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for result in search_result
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]
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@pytest.fixture
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@pytest.mark.requires("zep_python")
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def zep_retriever(
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mocker: MockerFixture, search_results: List[MemorySearchResult]
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) -> ZepRetriever:
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mock_zep_client: ZepClient = mocker.patch("zep_python.ZepClient", autospec=True)
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mock_zep_client.search_memory.return_value = copy.deepcopy( # type: ignore
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search_results
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)
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mock_zep_client.asearch_memory.return_value = copy.deepcopy( # type: ignore
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search_results
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)
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zep = ZepRetriever(session_id="123", url="http://localhost:8000")
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zep.zep_client = mock_zep_client
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return zep
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@pytest.mark.requires("zep_python")
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def test_zep_retriever_get_relevant_documents(
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zep_retriever: ZepRetriever, search_results: List[MemorySearchResult]
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) -> None:
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documents: List[Document] = zep_retriever.get_relevant_documents(
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query="My trip to Iceland"
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)
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_test_documents(documents, search_results)
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@pytest.mark.requires("zep_python")
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@pytest.mark.asyncio
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async def test_zep_retriever_aget_relevant_documents(
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zep_retriever: ZepRetriever, search_results: List[MemorySearchResult]
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) -> None:
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documents: List[Document] = await zep_retriever.aget_relevant_documents(
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query="My trip to Iceland"
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)
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_test_documents(documents, search_results)
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def _test_documents(
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documents: List[Document], search_results: List[MemorySearchResult]
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) -> None:
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assert len(documents) == 2
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for i, document in enumerate(documents):
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assert document.page_content == search_results[i].message.get( # type: ignore
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"content"
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)
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assert document.metadata.get("uuid") == search_results[
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i
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].message.get( # type: ignore
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"uuid"
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)
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assert document.metadata.get("role") == search_results[
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i
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].message.get( # type: ignore
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"role"
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)
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assert document.metadata.get("score") == search_results[i].dist
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