feat:新增记忆测试、检索工具与服务
新增完整的长期记忆支持及测试：引入中文记忆检索提示词、query_long_term_memory 检索工具、记忆服务与记忆流程服务，以及 WebUI 的记忆路由。新增大规模测试套件（包括单元测试与基准/在线测试），覆盖聊天历史摘要、知识获取器、事件（episode）生成、写回机制以及用户画像检索等功能。 更新多个模块以集成记忆检索能力（包括 knowledge fetcher、chat summarizer、memory_retrieval、person_info、config/legacy 迁移以及 WebUI 路由），并移除遗留的 lpmm 知识模块。这些变更完成了记忆运行时的接入，同时为基准测试提供嵌入适配器的 mock，并支持新测试与工具所需的导入与 episode 处理流程。
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DawnARC
281
pytests/A_memorix_test/test_memory_service.py
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281
pytests/A_memorix_test/test_memory_service.py
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import pytest
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from src.services.memory_service import MemorySearchResult, MemoryService
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def test_coerce_write_result_treats_skipped_payload_as_success():
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result = MemoryService._coerce_write_result({"skipped_ids": ["p1"], "detail": "chat_filtered"})
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assert result.success is True
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assert result.stored_ids == []
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assert result.skipped_ids == ["p1"]
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assert result.detail == "chat_filtered"
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@pytest.mark.asyncio
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async def test_graph_admin_invokes_plugin(monkeypatch):
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service = MemoryService()
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calls = []
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async def fake_invoke(component_name, args=None, **kwargs):
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calls.append((component_name, args, kwargs))
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return {"success": True, "nodes": [], "edges": []}
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monkeypatch.setattr(service, "_invoke", fake_invoke)
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result = await service.graph_admin(action="get_graph", limit=12)
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assert result["success"] is True
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assert calls == [("memory_graph_admin", {"action": "get_graph", "limit": 12}, {"timeout_ms": 30000})]
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@pytest.mark.asyncio
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async def test_get_recycle_bin_uses_maintain_memory_tool(monkeypatch):
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service = MemoryService()
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calls = []
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async def fake_invoke(component_name, args=None, **kwargs):
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calls.append((component_name, args))
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return {"success": True, "items": [{"hash": "abc"}], "count": 1}
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monkeypatch.setattr(service, "_invoke", fake_invoke)
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result = await service.get_recycle_bin(limit=5)
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assert result == {"success": True, "items": [{"hash": "abc"}], "count": 1}
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assert calls == [("maintain_memory", {"action": "recycle_bin", "limit": 5})]
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@pytest.mark.asyncio
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async def test_search_respects_filter_by_default(monkeypatch):
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service = MemoryService()
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calls = []
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async def fake_invoke(component_name, args=None, **kwargs):
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calls.append((component_name, args))
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return {"summary": "ok", "hits": [], "filtered": True}
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monkeypatch.setattr(service, "_invoke", fake_invoke)
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result = await service.search(
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"mai",
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chat_id="stream-1",
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person_id="person-1",
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user_id="user-1",
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group_id="",
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)
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assert isinstance(result, MemorySearchResult)
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assert result.filtered is True
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assert calls == [
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(
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"search_memory",
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{
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"query": "mai",
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"limit": 5,
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"mode": "hybrid",
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"chat_id": "stream-1",
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"person_id": "person-1",
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"time_start": None,
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"time_end": None,
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"respect_filter": True,
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"user_id": "user-1",
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"group_id": "",
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},
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)
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]
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@pytest.mark.asyncio
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async def test_ingest_summary_can_bypass_filter(monkeypatch):
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service = MemoryService()
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calls = []
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async def fake_invoke(component_name, args=None, **kwargs):
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calls.append((component_name, args))
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return {"success": True, "stored_ids": ["p1"], "detail": ""}
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monkeypatch.setattr(service, "_invoke", fake_invoke)
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result = await service.ingest_summary(
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external_id="chat_history:1",
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chat_id="stream-1",
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text="summary",
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respect_filter=False,
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user_id="user-1",
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)
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assert result.success is True
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assert calls == [
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(
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"ingest_summary",
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{
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"external_id": "chat_history:1",
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"chat_id": "stream-1",
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"text": "summary",
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"participants": [],
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"time_start": None,
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"time_end": None,
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"tags": [],
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"metadata": {},
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"respect_filter": False,
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"user_id": "user-1",
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"group_id": "",
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},
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)
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]
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@pytest.mark.asyncio
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async def test_v5_admin_invokes_plugin(monkeypatch):
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service = MemoryService()
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calls = []
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async def fake_invoke(component_name, args=None, **kwargs):
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calls.append((component_name, args, kwargs))
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return {"success": True, "count": 1}
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monkeypatch.setattr(service, "_invoke", fake_invoke)
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result = await service.v5_admin(action="status", target="mai", limit=5)
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assert result["success"] is True
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assert calls == [("memory_v5_admin", {"action": "status", "target": "mai", "limit": 5}, {"timeout_ms": 30000})]
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@pytest.mark.asyncio
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async def test_delete_admin_uses_long_timeout(monkeypatch):
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service = MemoryService()
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calls = []
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async def fake_invoke(component_name, args=None, **kwargs):
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calls.append((component_name, args, kwargs))
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return {"success": True, "operation_id": "del-1"}
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monkeypatch.setattr(service, "_invoke", fake_invoke)
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result = await service.delete_admin(action="execute", mode="relation", selector={"query": "mai"})
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assert result["success"] is True
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assert calls == [
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(
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"memory_delete_admin",
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{"action": "execute", "mode": "relation", "selector": {"query": "mai"}},
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{"timeout_ms": 120000},
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)
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]
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@pytest.mark.asyncio
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async def test_search_returns_empty_when_query_and_time_missing_async():
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service = MemoryService()
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result = await service.search("", time_start=None, time_end=None)
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assert isinstance(result, MemorySearchResult)
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assert result.summary == ""
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assert result.hits == []
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assert result.filtered is False
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@pytest.mark.asyncio
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async def test_search_accepts_string_time_bounds(monkeypatch):
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service = MemoryService()
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calls = []
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async def fake_invoke(component_name, args=None, **kwargs):
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calls.append((component_name, args))
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return {"summary": "ok", "hits": [], "filtered": False}
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monkeypatch.setattr(service, "_invoke", fake_invoke)
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result = await service.search(
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"广播站",
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mode="time",
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time_start="2026/03/18",
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time_end="2026/03/18 09:30",
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)
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assert isinstance(result, MemorySearchResult)
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assert calls == [
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(
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"search_memory",
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{
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"query": "广播站",
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"limit": 5,
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"mode": "time",
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"chat_id": "",
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"person_id": "",
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"time_start": "2026/03/18",
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"time_end": "2026/03/18 09:30",
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"respect_filter": True,
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"user_id": "",
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"group_id": "",
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},
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)
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]
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def test_coerce_search_result_preserves_aggregate_source_branches():
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result = MemoryService._coerce_search_result(
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{
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"hits": [
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{
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"content": "广播站值夜班",
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"type": "paragraph",
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"metadata": {"event_time_start": 1.0},
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"source_branches": ["search", "time"],
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"rank": 1,
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}
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]
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}
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)
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assert result.hits[0].metadata["source_branches"] == ["search", "time"]
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assert result.hits[0].metadata["rank"] == 1
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@pytest.mark.asyncio
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async def test_import_admin_uses_long_timeout(monkeypatch):
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service = MemoryService()
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calls = []
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async def fake_invoke(component_name, args=None, **kwargs):
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calls.append((component_name, args, kwargs))
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return {"success": True, "task_id": "import-1"}
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monkeypatch.setattr(service, "_invoke", fake_invoke)
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result = await service.import_admin(action="create_lpmm_openie", alias="lpmm")
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assert result["success"] is True
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assert calls == [
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(
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"memory_import_admin",
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{"action": "create_lpmm_openie", "alias": "lpmm"},
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{"timeout_ms": 120000},
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)
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]
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@pytest.mark.asyncio
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async def test_tuning_admin_uses_long_timeout(monkeypatch):
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service = MemoryService()
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calls = []
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async def fake_invoke(component_name, args=None, **kwargs):
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calls.append((component_name, args, kwargs))
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return {"success": True, "task_id": "tuning-1"}
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monkeypatch.setattr(service, "_invoke", fake_invoke)
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result = await service.tuning_admin(action="create_task", payload={"query": "mai"})
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assert result["success"] is True
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assert calls == [
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(
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"memory_tuning_admin",
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{"action": "create_task", "payload": {"query": "mai"}},
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{"timeout_ms": 120000},
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)
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]
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