Files
mai-bot/pytests/A_memorix_test/test_knowledge_fetcher.py

125 lines
4.1 KiB
Python

from types import SimpleNamespace
import pytest
from src.chat.brain_chat.PFC import pfc_KnowledgeFetcher as knowledge_module
from src.services.memory_service import MemoryHit, MemorySearchResult
def test_knowledge_fetcher_resolves_private_memory_context(monkeypatch):
monkeypatch.setattr(
knowledge_module,
"_chat_manager",
SimpleNamespace(get_session_by_session_id=lambda session_id: SimpleNamespace(platform="qq", user_id="42", group_id="")),
)
monkeypatch.setattr(
knowledge_module,
"resolve_person_id_for_memory",
lambda *, person_name, platform, user_id: f"{person_name}:{platform}:{user_id}",
)
fetcher = knowledge_module.KnowledgeFetcher(private_name="Alice", stream_id="stream-1")
assert fetcher._resolve_private_memory_context() == {
"chat_id": "stream-1",
"person_id": "Alice:qq:42",
"user_id": "42",
"group_id": "",
}
@pytest.mark.asyncio
async def test_knowledge_fetcher_memory_get_knowledge_uses_memory_service(monkeypatch):
monkeypatch.setattr(
knowledge_module,
"_chat_manager",
SimpleNamespace(get_session_by_session_id=lambda session_id: SimpleNamespace(platform="qq", user_id="42", group_id="")),
)
monkeypatch.setattr(
knowledge_module,
"resolve_person_id_for_memory",
lambda *, person_name, platform, user_id: f"{person_name}:{platform}:{user_id}",
)
calls = []
async def fake_search(query: str, **kwargs):
calls.append((query, kwargs))
return MemorySearchResult(summary="", hits=[MemoryHit(content="她喜欢猫", source="person_fact:qq:42")], filtered=False)
monkeypatch.setattr(knowledge_module.memory_service, "search", fake_search)
fetcher = knowledge_module.KnowledgeFetcher(private_name="Alice", stream_id="stream-1")
result = await fetcher._memory_get_knowledge("她喜欢什么")
assert "1. 她喜欢猫" in result
assert calls == [
(
"她喜欢什么",
{
"limit": 5,
"mode": "search",
"chat_id": "stream-1",
"person_id": "Alice:qq:42",
"user_id": "42",
"group_id": "",
"respect_filter": True,
},
)
]
@pytest.mark.asyncio
async def test_knowledge_fetcher_falls_back_to_chat_scope_when_person_scope_misses(monkeypatch):
monkeypatch.setattr(
knowledge_module,
"_chat_manager",
SimpleNamespace(get_session_by_session_id=lambda session_id: SimpleNamespace(platform="qq", user_id="42", group_id="")),
)
monkeypatch.setattr(
knowledge_module,
"resolve_person_id_for_memory",
lambda *, person_name, platform, user_id: "person-1",
)
calls = []
async def fake_search(query: str, **kwargs):
calls.append((query, kwargs))
if kwargs.get("person_id"):
return MemorySearchResult(summary="", hits=[], filtered=False)
return MemorySearchResult(summary="", hits=[MemoryHit(content="她计划去杭州音乐节", source="chat_summary:stream-1")], filtered=False)
monkeypatch.setattr(knowledge_module.memory_service, "search", fake_search)
fetcher = knowledge_module.KnowledgeFetcher(private_name="Alice", stream_id="stream-1")
result = await fetcher._memory_get_knowledge("Alice 最近在忙什么")
assert "杭州音乐节" in result
assert calls == [
(
"Alice 最近在忙什么",
{
"limit": 5,
"mode": "search",
"chat_id": "stream-1",
"person_id": "person-1",
"user_id": "42",
"group_id": "",
"respect_filter": True,
},
),
(
"Alice 最近在忙什么",
{
"limit": 5,
"mode": "search",
"chat_id": "stream-1",
"person_id": "",
"user_id": "42",
"group_id": "",
"respect_filter": True,
},
),
]