mirror of
https://github.com/agentscope-ai/ReMe.git
synced 2026-09-14 23:21:04 +00:00
- Introduce RetrieveProfile tool for fetching specific user profiles - Refactor ProfileHandler to support both filesystem and vector backends - Add async methods to ProfileHandler with synchronous fallbacks - Update PersonalRetriever to support two-stage profile and memory retrieval - Enhance PersonalSummarizer with improved tool partitioning logic - Add profile_backend, profile_store_name, and profile_max_capacity configuration options - Replace direct ProfileHandler imports with get_profile_handler method - Implement profile search functionality with dedicated prompts and workflows - Add FileProfileBackend and VectorProfileBackend implementations - Update base memory tool with new profile configuration parameters
163 lines
6 KiB
Python
163 lines
6 KiB
Python
"""Tests for ReMe memory error handling and raise_exception propagation."""
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from types import SimpleNamespace
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import pytest
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import reme.reme as reme_module
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from reme.core.runtime_context import RuntimeContext
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from reme.core.schema import MemoryNode
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from reme.memory.vector_tools.history.read_history import ReadHistory
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from reme.reme import ReMe
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class Recorder:
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"""Stub that records constructor args for later inspection."""
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instances = []
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def __init__(self, *args, **kwargs):
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self.args = args
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self.kwargs = kwargs
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self.call_kwargs = None
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Recorder.instances.append(self)
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class TopLevelAgent(Recorder):
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"""Stub agent that returns a successful structured result."""
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async def call(self, **kwargs):
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"""Simulate a successful agent call."""
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self.call_kwargs = kwargs
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return {"answer": "ok", "success": True}
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def _make_reme() -> ReMe:
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"""Create a ReMe instance with startup bypassed for unit testing."""
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reme = ReMe(enable_logo=False, log_to_console=False, enable_profile=False)
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reme._started = True # pylint: disable=protected-access
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return reme
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def _patch_summarize_dependencies(monkeypatch: pytest.MonkeyPatch) -> None:
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"""Patch all summarize-path dependencies with stubs."""
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Recorder.instances = []
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monkeypatch.setattr(reme_module, "AddDraftAndRetrieveSimilarMemory", Recorder)
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monkeypatch.setattr(reme_module, "AddMemory", Recorder)
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monkeypatch.setattr(reme_module, "AddHistory", Recorder)
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monkeypatch.setattr(reme_module, "DelegateTask", Recorder)
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monkeypatch.setattr(reme_module, "PersonalSummarizer", Recorder)
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monkeypatch.setattr(reme_module, "ProceduralSummarizer", Recorder)
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monkeypatch.setattr(reme_module, "ToolSummarizer", Recorder)
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monkeypatch.setattr(reme_module, "ReMeSummarizer", TopLevelAgent)
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def _patch_retrieve_dependencies(monkeypatch: pytest.MonkeyPatch) -> None:
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"""Patch all retrieve-path dependencies with stubs."""
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Recorder.instances = []
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monkeypatch.setattr(reme_module, "RetrieveMemory", Recorder)
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monkeypatch.setattr(reme_module, "ReadHistory", Recorder)
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monkeypatch.setattr(reme_module, "DelegateTask", Recorder)
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monkeypatch.setattr(reme_module, "PersonalRetriever", Recorder)
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monkeypatch.setattr(reme_module, "ProceduralRetriever", Recorder)
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monkeypatch.setattr(reme_module, "ToolRetriever", Recorder)
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monkeypatch.setattr(reme_module, "ReMeRetriever", TopLevelAgent)
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@pytest.mark.asyncio
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@pytest.mark.parametrize("raise_exception", [False, True])
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async def test_summarize_memory_propagates_raise_exception(
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monkeypatch: pytest.MonkeyPatch,
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raise_exception: bool,
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):
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"""Verify raise_exception is forwarded to every sub-agent in summarize."""
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_patch_summarize_dependencies(monkeypatch)
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reme = _make_reme()
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result = await reme.summarize_memory(
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messages=[{"role": "user", "content": "hi", "time_created": "2026-03-20 10:00:00"}],
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task_name="demo-task",
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raise_exception=raise_exception,
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)
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assert result == "ok"
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assert Recorder.instances
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assert all(instance.kwargs.get("raise_exception") is raise_exception for instance in Recorder.instances)
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@pytest.mark.asyncio
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@pytest.mark.parametrize("raise_exception", [False, True])
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async def test_retrieve_memory_propagates_raise_exception(
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monkeypatch: pytest.MonkeyPatch,
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raise_exception: bool,
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):
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"""Verify raise_exception is forwarded to every sub-agent in retrieve."""
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_patch_retrieve_dependencies(monkeypatch)
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reme = _make_reme()
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result = await reme.retrieve_memory(
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query="hello",
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task_name="demo-task",
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raise_exception=raise_exception,
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)
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assert result == "ok"
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assert Recorder.instances
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assert all(instance.kwargs.get("raise_exception") is raise_exception for instance in Recorder.instances)
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@pytest.mark.asyncio
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async def test_summarize_memory_raises_runtime_error_for_unstructured_result(monkeypatch: pytest.MonkeyPatch):
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"""Verify RuntimeError is raised when the top-level summarizer returns a plain string."""
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Recorder.instances = []
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reme = _make_reme()
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monkeypatch.setattr(reme_module, "PersonalSummarizer", Recorder)
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monkeypatch.setattr(reme_module, "ProceduralSummarizer", Recorder)
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monkeypatch.setattr(reme_module, "ToolSummarizer", Recorder)
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monkeypatch.setattr(reme_module, "AddDraftAndRetrieveSimilarMemory", Recorder)
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monkeypatch.setattr(reme_module, "AddMemory", Recorder)
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monkeypatch.setattr(reme_module, "AddHistory", Recorder)
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monkeypatch.setattr(reme_module, "DelegateTask", Recorder)
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class FailingTopLevelAgent(Recorder):
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"""Stub agent that returns a failure string instead of a dict."""
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async def call(self, **kwargs):
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"""Simulate a failed agent call returning a plain error string."""
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self.call_kwargs = kwargs
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return "[ReMeSummarizer] failed: boom"
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monkeypatch.setattr(reme_module, "ReMeSummarizer", FailingTopLevelAgent)
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with pytest.raises(RuntimeError, match="summarize_memory failed before producing a structured result"):
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await reme.summarize_memory(
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messages=[{"role": "user", "content": "hi", "time_created": "2026-03-20 10:00:00"}],
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task_name="demo-task",
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)
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@pytest.mark.asyncio
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async def test_read_history_accepts_single_history_id_in_multiple_mode():
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class FakeVectorStore:
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async def get(self, vector_ids):
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assert vector_ids == ["history_123"]
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node = MemoryNode(
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memory_id="history_123",
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memory_type="history",
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memory_target="alice",
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content="Alice said hello.",
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)
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return [node.to_vector_node()]
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tool = ReadHistory(enable_multiple=True)
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tool._vector_store = FakeVectorStore()
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tool.context = RuntimeContext(
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history_id="history_123",
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retrieved_nodes=[],
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service_context=SimpleNamespace(memory_target_type_mapping={"alice": "personal"}),
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)
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result = await tool.execute()
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assert "Historical Dialogue[history_123]" in result
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