refactor: LangGraph gateway layer for UI-agnostic graph and thread access (#295)
* feat(gateway): graph gateway protocol * refactor(cli): wire gateway in cli/tui * refactor(gateway): centralize runtime gateway init * chore(gateway): restrict RunRequest message type * feat(gateway): add langgraph server gateway * chore(cli): tighten serve runtime state typing * refactor(cli): route async task state reads through graph gateway * refactor(gateway): support graph targets in server gateway * refactor(cli): route session commands through graph gateway * refactor(cli): fold thread store under graph gateway * refactor(gateway): route graph state access through gateway * refactor(channels): wire graph gateway * refactor(memory): preserve graph threads for cloning * feat(gateway): add thread cloning * fix(tui): pass effective workspace for thread creation * chore(memory): add workspare dir to memory worker metadata * fix(sessions): filter preloaded UUID registy entries by the current scope * test(fakes): use https * refactor(consumer): consolidate imports * fix(stream): optional summarization event * fix(gateway): resolve abbreviated thread IDs by search * fix(gateway): page server thread listings * fix(gateway): emit pending interrupt events * style: fmt * feat(gateway): persist workspace_dir & model in thread metadata * fix(gateway): page server thread prefix resolution * fix(gateway): expose server thread list metadata * refactor: add back type def * refactor: tighten types * revert: add back worker thread deletion The worker thread forking changes are out of scope for now, so to maintain parity with the existing behavior we'll leave this intact. * fix(gateway): apply compaction to server thread history * refactor(stream): restore direct summary replay suppression * fix(gateway): preserve compaction state and server stream output * fix(gateway): close local stream generator on cancellation --------- Co-authored-by: Xi Zhang <106144707+X-iZhang@users.noreply.github.com>
This commit is contained in:
+55
-103
@@ -3,44 +3,45 @@
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from types import SimpleNamespace
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from unittest.mock import AsyncMock, MagicMock, patch
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from EvoScientist.gateway import GraphTarget
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from tests.conftest import run_async as _run
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from tests.fakes import FakeCommandUI, FakeGraphGateway
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_TARGET = GraphTarget()
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def _compact(
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graph_gateway: FakeGraphGateway,
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*,
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thread_id: str = "tid-1",
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input_tokens_hint: int | None = None,
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):
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from EvoScientist.cli.commands import compact_conversation
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return _run(
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compact_conversation(
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graph_gateway=graph_gateway,
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thread_id=thread_id,
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target=_TARGET,
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input_tokens_hint=input_tokens_hint,
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)
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)
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class TestCompactGuards:
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"""Guard conditions that return early without touching the middleware."""
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def test_no_agent(self):
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from EvoScientist.cli.commands import compact_conversation
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result = _run(compact_conversation(agent=None, thread_id="abc"))
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assert result.status == "noop"
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assert "Nothing to compact" in result.message
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def test_no_thread_id(self):
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from EvoScientist.cli.commands import compact_conversation
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result = _run(compact_conversation(agent=MagicMock(), thread_id=None))
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assert result.status == "noop"
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assert "Nothing to compact" in result.message
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def test_empty_messages(self):
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from EvoScientist.cli.commands import compact_conversation
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graph_gateway = FakeGraphGateway(state_values={"messages": []})
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agent = MagicMock()
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snapshot = SimpleNamespace(values={"messages": []})
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agent.aget_state = AsyncMock(return_value=snapshot)
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result = _run(compact_conversation(agent=agent, thread_id="tid-1"))
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result = _compact(graph_gateway)
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assert result.status == "noop"
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assert "no messages" in result.message
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def test_state_read_failure(self):
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from EvoScientist.cli.commands import compact_conversation
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graph_gateway = FakeGraphGateway(state_error=RuntimeError("DB gone"))
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agent = MagicMock()
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agent.aget_state = AsyncMock(side_effect=RuntimeError("DB gone"))
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result = _run(compact_conversation(agent=agent, thread_id="tid-1"))
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result = _compact(graph_gateway)
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assert result.status == "error"
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assert "Failed to read state" in result.message
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@@ -49,12 +50,8 @@ class TestCompactCutoffZero:
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"""When cutoff == 0, conversation is within retention budget."""
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def test_nothing_to_compact_short_conversation(self):
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from EvoScientist.cli.commands import compact_conversation
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agent = MagicMock()
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msgs = [MagicMock() for _ in range(3)]
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snapshot = SimpleNamespace(values={"messages": msgs})
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agent.aget_state = AsyncMock(return_value=snapshot)
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graph_gateway = FakeGraphGateway(state_values={"messages": msgs})
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mock_middleware_inst = MagicMock()
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mock_middleware_inst._apply_event_to_messages.return_value = msgs
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@@ -82,7 +79,7 @@ class TestCompactCutoffZero:
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return_value=500,
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),
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):
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result = _run(compact_conversation(agent=agent, thread_id="tid-1"))
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result = _compact(graph_gateway)
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assert result.status == "noop"
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assert "within the retention budget" in result.message
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@@ -93,14 +90,10 @@ class TestCompactNegligibleSavings:
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"""When cutoff > 0 but savings are too small to be worth it."""
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def test_skip_when_few_messages_and_low_tokens(self):
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from EvoScientist.cli.commands import compact_conversation
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agent = MagicMock()
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msgs = [MagicMock() for _ in range(15)]
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snapshot = SimpleNamespace(
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values={"messages": msgs, "_summarization_event": None}
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graph_gateway = FakeGraphGateway(
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state_values={"messages": msgs, "_summarization_event": None}
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)
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agent.aget_state = AsyncMock(return_value=snapshot)
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mock_middleware_inst = MagicMock()
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mock_middleware_inst._apply_event_to_messages.return_value = msgs
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@@ -133,7 +126,7 @@ class TestCompactNegligibleSavings:
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side_effect=lambda x: next(token_values),
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),
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):
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result = _run(compact_conversation(agent=agent, thread_id="tid-1"))
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result = _compact(graph_gateway)
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assert result.status == "noop"
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assert "not worth" in result.message
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@@ -144,15 +137,10 @@ class TestCompactNegligibleSavings:
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"""2 messages but they account for >2% of tokens — should compact."""
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from langchain_core.messages import HumanMessage
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from EvoScientist.cli.commands import compact_conversation
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agent = MagicMock()
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msgs = [MagicMock() for _ in range(10)]
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snapshot = SimpleNamespace(
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values={"messages": msgs, "_summarization_event": None}
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graph_gateway = FakeGraphGateway(
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state_values={"messages": msgs, "_summarization_event": None}
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)
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agent.aget_state = AsyncMock(return_value=snapshot)
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agent.aupdate_state = AsyncMock()
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summary_msg = HumanMessage(content="Summary")
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@@ -190,24 +178,20 @@ class TestCompactNegligibleSavings:
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side_effect=lambda x: next(token_values),
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),
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):
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result = _run(compact_conversation(agent=agent, thread_id="tid-1"))
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result = _compact(graph_gateway)
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assert result.status == "ok"
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agent.aupdate_state.assert_awaited_once()
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assert len(graph_gateway.updated_states) == 1
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class TestCompactSuccess:
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"""Normal compaction flow."""
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def test_manual_threshold_blocks_low_context_compaction(self):
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from EvoScientist.cli.commands import compact_conversation
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agent = MagicMock()
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msgs = [MagicMock() for _ in range(20)]
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snapshot = SimpleNamespace(
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values={"messages": msgs, "_summarization_event": None}
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graph_gateway = FakeGraphGateway(
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state_values={"messages": msgs, "_summarization_event": None}
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)
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agent.aget_state = AsyncMock(return_value=snapshot)
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mock_middleware_inst = MagicMock()
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mock_middleware_inst._apply_event_to_messages.return_value = msgs
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@@ -233,7 +217,7 @@ class TestCompactSuccess:
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return_value=30_000,
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),
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):
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result = _run(compact_conversation(agent=agent, thread_id="tid-1"))
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result = _compact(graph_gateway)
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assert result.status == "noop"
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assert "40%" in result.message
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@@ -244,15 +228,10 @@ class TestCompactSuccess:
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def test_successful_compaction(self):
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from langchain_core.messages import HumanMessage
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from EvoScientist.cli.commands import compact_conversation
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agent = MagicMock()
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msgs = [MagicMock() for _ in range(20)]
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snapshot = SimpleNamespace(
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values={"messages": msgs, "_summarization_event": None}
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graph_gateway = FakeGraphGateway(
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state_values={"messages": msgs, "_summarization_event": None}
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)
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agent.aget_state = AsyncMock(return_value=snapshot)
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agent.aupdate_state = AsyncMock()
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summary_msg = HumanMessage(content="Summary of conversation")
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to_summarize = msgs[:15]
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@@ -294,7 +273,7 @@ class TestCompactSuccess:
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side_effect=lambda x: next(token_values),
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),
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):
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result = _run(compact_conversation(agent=agent, thread_id="tid-1"))
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result = _compact(graph_gateway)
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assert result.status == "ok"
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assert result.messages_compacted == 15
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@@ -305,11 +284,10 @@ class TestCompactSuccess:
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# context_percent reflects usage AFTER compact (12%), not before (60%)
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assert result.context_percent == 12
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assert result.summary_text == "Summary text"
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agent.aupdate_state.assert_awaited_once()
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assert len(graph_gateway.updated_states) == 1
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# Verify the event structure passed to aupdate_state
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call_args = agent.aupdate_state.call_args
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event_data = call_args[0][1]
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# Verify the event structure passed through the graph gateway.
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event_data = graph_gateway.updated_states[0][2]
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assert "_summarization_event" in event_data
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assert event_data["_summarization_event"]["cutoff_index"] == 15
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@@ -317,15 +295,10 @@ class TestCompactSuccess:
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"""Offload failure should not prevent compaction."""
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from langchain_core.messages import HumanMessage
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from EvoScientist.cli.commands import compact_conversation
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agent = MagicMock()
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msgs = [MagicMock() for _ in range(10)]
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snapshot = SimpleNamespace(
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values={"messages": msgs, "_summarization_event": None}
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graph_gateway = FakeGraphGateway(
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state_values={"messages": msgs, "_summarization_event": None}
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)
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agent.aget_state = AsyncMock(return_value=snapshot)
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agent.aupdate_state = AsyncMock()
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summary_msg = HumanMessage(content="Summary")
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@@ -362,13 +335,13 @@ class TestCompactSuccess:
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return_value=1000,
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),
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):
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result = _run(compact_conversation(agent=agent, thread_id="tid-1"))
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result = _compact(graph_gateway)
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assert result.status == "ok"
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agent.aupdate_state.assert_awaited_once()
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assert len(graph_gateway.updated_states) == 1
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# file_path should be None in the event
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event_data = agent.aupdate_state.call_args[0][1]
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event_data = graph_gateway.updated_states[0][2]
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assert event_data["_summarization_event"]["file_path"] is None
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@@ -409,36 +382,15 @@ class TestCompactCommandUI:
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from EvoScientist.commands.base import CommandContext
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from EvoScientist.commands.implementation.session import CompactCommand
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class _UI:
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supports_interactive = True
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def __init__(self) -> None:
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self.system_messages: list[str] = []
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self.renderables: list[object] = []
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self.started = 0
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self.stopped = 0
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self.updated_tokens: list[int] = []
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def append_system(self, text: str, style: str = "dim") -> None:
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self.system_messages.append(text)
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def mount_renderable(self, renderable):
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self.renderables.append(renderable)
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async def start_compacting_indicator(self) -> None:
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self.started += 1
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async def stop_compacting_indicator(self) -> None:
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self.stopped += 1
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def update_status_after_compact(self, tokens_after: int) -> None:
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self.updated_tokens.append(tokens_after)
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ui = _UI()
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ui = FakeCommandUI()
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# input_tokens_hint must be set for update_status_after_compact to fire
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# (without it, tokens_after is message-level and the unit would be wrong)
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ctx = CommandContext(
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agent=MagicMock(), thread_id="tid-1", ui=ui, input_tokens_hint=5000
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agent=MagicMock(),
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thread_id="tid-1",
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ui=ui,
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graph_gateway=FakeGraphGateway(),
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input_tokens_hint=5000,
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)
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result = CompactResult(
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"ok",
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