feat: async significance pass with auto-pin on score 3
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@@ -64,7 +64,7 @@ def test_record_turn_memory_writes_event_and_projects(tmp_path):
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apply_migrations(db)
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_seed_minimal(db)
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with open_db(db) as conn:
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eid = record_turn_memory(
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eid, mid = record_turn_memory(
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conn,
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chat_id="chat_bot_a",
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host_bot_id="bot_a",
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@@ -73,6 +73,7 @@ def test_record_turn_memory_writes_event_and_projects(tmp_path):
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chat_clock_at="2026-04-26T20:00:00+00:00",
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)
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assert eid > 0
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assert mid is not None and mid > 0
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rows = conn.execute(
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"SELECT id, owner_id, chat_id, pov_summary, "
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@@ -110,13 +111,14 @@ def test_record_turn_memory_omits_optional_fields(tmp_path):
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_seed_minimal(db)
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with open_db(db) as conn:
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# Call without scene_id/chat_clock_at — should default to None.
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eid = record_turn_memory(
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eid, mid = record_turn_memory(
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conn,
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chat_id="chat_bot_a",
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host_bot_id="bot_a",
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narrative_text="A simple memory.",
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)
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assert eid > 0
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assert mid is not None and mid > 0
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row = conn.execute(
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"SELECT scene_id, chat_clock_at, source, reliability, "
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@@ -168,6 +170,11 @@ def client(tmp_path, monkeypatch):
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app.dependency_overrides[get_llm_client] = lambda: mock
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with TestClient(app) as c:
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# Disable the lifespan-managed background worker — it would try
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# to call Featherless with the test API key. The unit tests in
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# test_significance.py exercise the worker directly with a mock
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# factory; here we only care about the synchronous turn flow.
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app.state.background_worker.enabled = False
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c.mock_llm = mock # type: ignore[attr-defined]
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yield c
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