[V10.318] 收緊 EA HITL 告警證據與排版治理

tests/test_elephant_alpha_engine.py

@@ -231,6 +231,55 @@ def test_escalate_resource_optimization_without_evidence_is_suppressed(monkeypat
     assert suppressed == [("resource_optimization", "no_concrete_evidence")]
 
 
+def test_escalate_price_alert_without_evidence_is_suppressed(monkeypatch):
+    import services.elephant_alpha_autonomous_engine as engine_module
+    from services.elephant_alpha_autonomous_engine import (
+        AutonomousTrigger,
+        ElephantAlphaAutonomousEngine,
+    )
+    from services.elephant_alpha_orchestrator import StrategicDecision
+
+    engine = ElephantAlphaAutonomousEngine()
+    suppressed = []
+    cooldown = []
+
+    async def _no_concrete_actions(top_n=5):
+        return None
+
+    def _raise_if_db_opened():
+        raise AssertionError("no-concrete price escalation should not write human_review")
+
+    monkeypatch.setattr(engine, "_fetch_hermes_threats_summary", _no_concrete_actions)
+    monkeypatch.setattr(engine_module, "get_session", _raise_if_db_opened)
+    monkeypatch.setattr(engine, "_store_escalation", lambda trigger_type: cooldown.append(trigger_type))
+    monkeypatch.setattr(
+        engine,
+        "_record_suppressed_escalation",
+        lambda decision, trigger, reason: suppressed.append((trigger.trigger_type, reason)),
+    )
+
+    decision = StrategicDecision(
+        priority="medium",
+        agents_required=["openclaw"],
+        reasoning="價格調整建議信心不足",
+        expected_outcome="待人工確認",
+        confidence=0.62,
+        execution_plan=[],
+        resource_requirements={},
+    )
+    trigger = AutonomousTrigger(
+        trigger_type="price_drop_alert",
+        conditions={},
+        threshold=0.8,
+        enabled=True,
+    )
+
+    asyncio.run(engine._escalate_to_human(decision, trigger))
+
+    assert cooldown == ["price_drop_alert"]
+    assert suppressed == [("price_drop_alert", "no_concrete_evidence")]
+
+
 def test_resource_pressure_classifier_does_not_equate_backlog_with_cpu_load():
     from services.elephant_alpha_autonomous_engine import ElephantAlphaAutonomousEngine
 

tests/test_telegram_triaged_alert_format.py

@@ -41,3 +41,26 @@ def test_ea_escalation_uses_structured_incident_brief():
     assert "PChome：<code>DABC53-A9009OEF</code>" in msg
     assert "  • [5900068]" not in msg
     assert keyboard["inline_keyboard"][0][0]["callback_data"] == "momo:eig:ea_review_test"
+
+
+def test_ea_escalation_generic_actions_do_not_render_as_sku_cards():
+    msg, _ = triaged_alert(
+        base_event={
+            "event_type": "ea_escalation",
+            "title": "🐘 EA 升級審核 · 程式碼異常偵測",
+            "summary": "低信心且缺少可格式化的具體行動",
+            "id": "ea_review_generic",
+        },
+        tier_label="🐘 Elephant Alpha · L3 HITL",
+        ai_summary="已隱藏 LLM plan 文字，避免把推測當成事實。",
+        ai_cause="觸發類型：程式碼異常偵測 | 信心度：0.62 | 缺少可直接審核的實證資料",
+        ai_actions=[
+            "檢查觸發條件：{\"scan_containers\": [\"momo-pro-system\"]}",
+            "不執行自動動作；請先在觀測台確認對應資料來源與最近錯誤紀錄。",
+        ],
+    )
+
+    assert "📋 <b>待確認事項</b>" in msg
+    assert "📋 <b>TOP 待審 SKU</b>" not in msg
+    assert "• 待審 SKU" not in msg
+    assert "未取得實證前，不執行自動調價、修復或策略派發" in msg