67 lines
3.0 KiB
Python
67 lines
3.0 KiB
Python
from services.telegram_templates import triaged_alert
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def test_ea_escalation_uses_structured_incident_brief():
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msg, keyboard = triaged_alert(
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base_event={
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"event_type": "ea_escalation",
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"title": "🐘 EA 升級審核 · 價格下滑警報",
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"summary": "自主決策信心度 0.82 低於門檻，需人工批准",
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"id": "ea_review_test",
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},
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tier_label="🐘 Elephant Alpha · L3 HITL",
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ai_summary=(
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"分析顯示 5 個代表性 SKU 的價格差異分別為 16.7%~38.3%，"
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"且每件價差至多 370 元。"
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),
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ai_cause="觸發類型：價格下滑警報 | 信心度：0.82 | 參與模組：Hermes, NemoTron",
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ai_actions=[
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"[5900068] [derma Angel 護妍天使] 集中抗痘精華｜"
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"MOMO $300 vs PChome $250 (+16.7%)｜"
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"每件價差 NT$ 50｜"
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"建議人工確認 PChome identity_v2 後評估跟價或促銷｜"
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"PChome DABC53-A9009OEF",
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"[3518670] L'Occitane 歐舒丹 官方直營 乳油木｜"
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"MOMO $1,220 vs PChome $850 (+30.3%)｜"
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"每件價差 NT$ 370｜"
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"建議人工確認 PChome identity_v2 後評估跟價或促銷｜"
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"PChome DDADKS-A900HIG5Y",
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],
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)
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assert "🧭 <b>決策狀態</b>" in msg
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assert "📊 <b>風險摘要</b>" in msg
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assert "📋 <b>TOP 待審 SKU</b>" in msg
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assert "✅ <b>建議處置</b>" in msg
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assert "• 待審 SKU：<b>2</b> 件" in msg
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assert "• 價差範圍：<b>+16.7%～+30.3%</b>" in msg
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assert "• 最大單件價差：<b>NT$ 370</b>" in msg
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assert "<b>1. [5900068]" in msg
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assert "MOMO：<b>$300</b> PChome：<b>$250</b>" in msg
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assert "PChome：<code>DABC53-A9009OEF</code>" in msg
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assert " • [5900068]" not in msg
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assert keyboard["inline_keyboard"][0][0]["callback_data"] == "momo:eig:ea_review_test"
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def test_ea_escalation_generic_actions_do_not_render_as_sku_cards():
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msg, _ = triaged_alert(
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base_event={
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"event_type": "ea_escalation",
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"title": "🐘 EA 升級審核 · 程式碼異常偵測",
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"summary": "低信心且缺少可格式化的具體行動",
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"id": "ea_review_generic",
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},
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tier_label="🐘 Elephant Alpha · L3 HITL",
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ai_summary="已隱藏 LLM plan 文字，避免把推測當成事實。",
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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",
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ai_actions=[
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"檢查觸發條件：{\"scan_containers\": [\"momo-pro-system\"]}",
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"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。",
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],
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)
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assert "📋 <b>待確認事項</b>" in msg
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assert "📋 <b>TOP 待審 SKU</b>" not in msg
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assert "• 待審 SKU" not in msg
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assert "未取得實證前，不執行自動調價、修復或策略派發" in msg
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