fix(api): enforce global ollama endpoint order

apps/api/src/services/knowledge_extractor_service.py

@@ -4,7 +4,7 @@ Knowledge Extractor Service — KB Phase 2-A
 Incident resolved 後自動萃取 KB 草稿。
 
 設計原則:
-- 強制使用 Ollama llama3.2:3b（本地推理，符合 Phase 24 D7 隱私規則）
+- 使用 Ollama llama3.2:3b，依全域順序 GCP-A → GCP-B → 111 嘗試
 - fire-and-forget：失敗不影響 resolve 主流程
 - logger.exception 保留完整 Stack Trace 供 Prompt 調優
 
@@ -15,11 +15,11 @@ import structlog
 
 logger = structlog.get_logger(__name__)
 
-# 2026-05-05 Codex: KB 萃取走 111 lane，避免污染 GCP alert-fast lane
-def _get_ollama_base() -> str:
-    from src.services.ollama_endpoint_resolver import resolve_ollama_endpoint
+# 2026-05-19 Codex: 統帥校正，全 Ollama workload 固定 GCP-A → GCP-B → 111。
+def _get_ollama_endpoints():
+    from src.services.ollama_endpoint_resolver import resolve_ollama_order
 
-    return resolve_ollama_endpoint("deep_rca")
+    return resolve_ollama_order("deep_rca")
 _EXTRACT_MODEL = "llama3.2:3b"
 _EXTRACT_TIMEOUT = 30.0  # 秒，容忍慢速
 
@@ -160,36 +160,54 @@ class KnowledgeExtractorService:
 
         不走 AIRouter 是刻意設計：
         - KB 萃取是背景工作，不需要完整的路由/閘門/Cache 邏輯
-        - 強制本地，不允許 fallback 到 cloud provider
+        - Ollama endpoint 固定依 GCP-A → GCP-B → 111 嘗試
         """
         import httpx
 
-        try:
-            async with httpx.AsyncClient(timeout=_EXTRACT_TIMEOUT) as client:
-                r = await client.post(
-                    f"{_get_ollama_base()}/api/generate",
-                    json={
-                        "model": _EXTRACT_MODEL,
-                        "prompt": prompt,
-                        "stream": False,
-                        "options": {
-                            "temperature": 0.3,   # 低溫：減少幻覺
-                            "num_predict": 800,   # 控制長度
-                            "stop": ["\n\n\n"],   # 防止無限生成
+        endpoints = _get_ollama_endpoints()
+        async with httpx.AsyncClient(timeout=_EXTRACT_TIMEOUT) as client:
+            for endpoint in endpoints:
+                if not endpoint.url:
+                    continue
+                try:
+                    r = await client.post(
+                        f"{endpoint.url}/api/generate",
+                        json={
+                            "model": _EXTRACT_MODEL,
+                            "prompt": prompt,
+                            "stream": False,
+                            "options": {
+                                "temperature": 0.3,   # 低溫：減少幻覺
+                                "num_predict": 800,   # 控制長度
+                                "stop": ["\n\n\n"],   # 防止無限生成
+                            },
                         },
-                    },
-                )
-                r.raise_for_status()
-                text = r.json().get("response", "").strip()
-                return text or None
+                    )
+                    r.raise_for_status()
+                    text = r.json().get("response", "").strip()
+                    if text:
+                        logger.info(
+                            "kb_ollama_call_success",
+                            model=_EXTRACT_MODEL,
+                            provider=endpoint.provider_name,
+                            base=endpoint.url,
+                        )
+                        return text
+                except Exception as e:
+                    logger.warning(
+                        "kb_ollama_call_failed",
+                        model=_EXTRACT_MODEL,
+                        provider=endpoint.provider_name,
+                        base=endpoint.url,
+                        error=str(e),
+                    )
 
-        except Exception:
-            logger.exception(
-                "kb_ollama_call_failed",
-                model=_EXTRACT_MODEL,
-                base=_get_ollama_base(),
-            )
-            return None
+        logger.error(
+            "kb_ollama_all_endpoints_failed",
+            model=_EXTRACT_MODEL,
+            attempted=[endpoint.provider_name for endpoint in endpoints],
+        )
+        return None
 
     def _extract_title(self, markdown: str, incident) -> str:
         """