強化 EA JSON fallback 與 EDM cache 自癒

tests/test_cache_manager.py

@@ -316,6 +316,31 @@ def test_promo_dashboard_shared_cache_ignores_other_versions(tmp_path, monkeypat
     assert edm_routes._load_shared_promo_dashboard_cache(cache_key) is None
 
 
+def test_promo_dashboard_shared_cache_discards_corrupt_payload(tmp_path, monkeypatch):
+    from routes import edm_routes
+
+    shared_cache = tmp_path / "promo_dashboard_cache.pkl"
+    shared_cache.write_bytes(b"\x96not-a-pickle")
+    monkeypatch.setattr(edm_routes, "_PROMO_SHARED_CACHE_FILE", shared_cache)
+
+    assert edm_routes._load_shared_promo_dashboard_cache(("edm",)) is None
+    assert not shared_cache.exists()
+
+
+def test_promo_dashboard_shared_cache_write_recovers_from_corrupt_payload(tmp_path, monkeypatch):
+    from routes import edm_routes
+
+    shared_cache = tmp_path / "promo_dashboard_cache.pkl"
+    shared_cache.write_bytes(b"\x96not-a-pickle")
+    cache_key = ("edm", "default", "desc", "", "bucket", (1, "ts", 1))
+    data = {"items_in_batch": [{"sku": "SKU-1"}]}
+    monkeypatch.setattr(edm_routes, "_PROMO_SHARED_CACHE_FILE", shared_cache)
+
+    edm_routes._write_shared_promo_dashboard_cache(cache_key, data)
+
+    assert edm_routes._load_shared_promo_dashboard_cache(cache_key) == data
+
+
 def test_sales_analysis_preview_context_cache_avoids_reloading_options(tmp_path, monkeypatch):
     from routes import sales_routes
 

tests/test_elephant_alpha_orchestrator.py

@@ -0,0 +1,99 @@
+import asyncio
+
+
+def test_elephant_orchestrator_extracts_fenced_json_object():
+    from services.elephant_alpha_orchestrator import ElephantAlphaOrchestrator
+
+    payload = ElephantAlphaOrchestrator._extract_json_object(
+        """```json
+{"priority":"high","confidence":0.91}
+```"""
+    )
+
+    assert payload == {"priority": "high", "confidence": 0.91}
+
+
+def test_elephant_orchestrator_extracts_json_object_from_prefaced_text():
+    from services.elephant_alpha_orchestrator import ElephantAlphaOrchestrator
+
+    payload = ElephantAlphaOrchestrator._extract_json_object(
+        '先做分析：\n{"priority":"medium","agents_required":["hermes"]}\n以上。'
+    )
+
+    assert payload["priority"] == "medium"
+    assert payload["agents_required"] == ["hermes"]
+
+
+def test_elephant_orchestrator_fallback_uses_concrete_evidence_without_plan():
+    from services.elephant_alpha_orchestrator import ElephantAlphaOrchestrator
+
+    orchestrator = ElephantAlphaOrchestrator()
+    decision = orchestrator._fallback_decision(
+        {
+            "trigger_type": "market_opportunity",
+            "conditions": {
+                "_prefetched_hermes_threats": [
+                    "[SKU-1] 測試商品｜MOMO $1,200 vs PChome $990｜每件價差 NT$ 210"
+                ]
+            },
+        },
+        reason="測試解析失敗",
+    )
+
+    assert decision.priority == "high"
+    assert decision.confidence == 0.74
+    assert decision.execution_plan == []
+    assert "1 筆 DB/Hermes 價格比對實證" in decision.reasoning
+    assert "自動調價" in decision.reasoning
+
+
+def test_elephant_orchestrator_fallback_without_evidence_has_no_openclaw_action():
+    from services.elephant_alpha_orchestrator import ElephantAlphaOrchestrator
+
+    orchestrator = ElephantAlphaOrchestrator()
+    decision = orchestrator._fallback_decision(
+        {"trigger_type": "market_opportunity", "conditions": {}},
+        reason="測試解析失敗",
+    )
+
+    assert decision.confidence == 0.6
+    assert decision.execution_plan == []
+    assert decision.agents_required == ["elephant_alpha"]
+    assert "沒有可稽核的 DB/Hermes 實證" in decision.reasoning
+
+
+def test_elephant_orchestrator_uses_evidence_fallback_on_non_json_response(monkeypatch):
+    from services.elephant_service import ElephantResponse
+    from services.elephant_alpha_orchestrator import ElephantAlphaOrchestrator
+
+    class FakeElephant:
+        def generate(self, **_kwargs):
+            return ElephantResponse(
+                success=True,
+                content="\n我無法輸出 JSON，但建議先處理。",
+                model="fake-model",
+            )
+
+    async def _noop_log(*_args, **_kwargs):
+        raise AssertionError("parse fallback should not log an LLM decision")
+
+    orchestrator = ElephantAlphaOrchestrator()
+    orchestrator.elephant = FakeElephant()
+    monkeypatch.setattr(orchestrator, "_get_recent_performance_metrics", lambda: {})
+    monkeypatch.setattr(orchestrator, "_get_agent_status", lambda: {})
+    monkeypatch.setattr(orchestrator, "_get_system_load", lambda: "normal")
+    monkeypatch.setattr(orchestrator, "_get_pending_actions_count", lambda: 0)
+    monkeypatch.setattr(orchestrator, "_log_decision", _noop_log)
+
+    decision = asyncio.run(orchestrator.analyze_and_coordinate({
+        "trigger_type": "price_drop_alert",
+        "conditions": {
+            "_prefetched_hermes_threats": [
+                "[SKU-9] 實證商品｜MOMO $1,000 vs PChome $800｜每件價差 NT$ 200"
+            ]
+        },
+    }))
+
+    assert decision.priority == "high"
+    assert decision.execution_plan == []
+    assert "1 筆 DB/Hermes 價格比對實證" in decision.reasoning

tests/test_marketplace_product_matcher.py

@@ -531,6 +531,38 @@ def test_marketplace_matcher_promotes_nivea_dry_lotion_with_long_shared_anchor()
     assert "shared_identity_anchor_nivea_dry_lotion" in diagnostics.reasons
 
 
+def test_marketplace_matcher_promotes_curel_body_lotion_with_brand_alias():
+    from services.marketplace_product_matcher import score_marketplace_match
+
+    diagnostics = score_marketplace_match(
+        "【Curel 珂潤】潤浸保濕清爽身體乳液 220ml",
+        "珂潤 Curel 潤浸保濕清爽身體乳液220ml",
+        momo_price=399,
+        competitor_price=399,
+    )
+
+    assert diagnostics.score >= 0.76
+    assert diagnostics.hard_veto is False
+    assert "brand_match" in diagnostics.tags
+    assert "shared_identity_anchor" in diagnostics.reasons
+
+
+def test_marketplace_matcher_promotes_karadium_pearl_shadow_stick_anchor():
+    from services.marketplace_product_matcher import score_marketplace_match
+
+    diagnostics = score_marketplace_match(
+        "【KARADIUM】閃亮珍珠眼影棒 1.4g",
+        "karadium 閃亮珍珠眼影棒 1.4g",
+        momo_price=259,
+        competitor_price=259,
+    )
+
+    assert diagnostics.score >= 0.76
+    assert diagnostics.hard_veto is False
+    assert "brand_match" in diagnostics.tags
+    assert "shared_identity_anchor" in diagnostics.reasons
+
+
 def test_marketplace_matcher_rejects_refill_core_vs_case_only_pack():
     from services.marketplace_product_matcher import score_marketplace_match