feat(ssa): SSA Agent mode MVP - prompt management + Phase 5A guardrails + UX enhancements

Backend:
- Agent core prompts (Planner + Coder) now loaded from PromptService with 3-tier fallback (DB -> cache -> hardcoded)
- Seed script (seed-ssa-agent-prompts.ts) for idempotent SSA_AGENT_PLANNER + SSA_AGENT_CODER setup
- SSA fallback prompts added to prompt.fallbacks.ts
- Phase 5A: XML tag extraction, defensive programming prompt, high-fidelity schema injection, AST pre-check
- Default agent mode migration + session CRUD (rename/delete) APIs
- R Docker: structured error handling (20+ patterns) + AST syntax pre-check

Frontend:
- Default agent mode (QPER toggle removed), view code fix, analysis result cards in chat
- Session history sidebar with inline rename/delete, robust plan parsing from reviewResult
- R code export wrapper for local reproducibility (package checks + data loader + polyfills)
- SSA workspace CSS updates for sidebar actions and plan display

Docs:
- SSA module doc v4.2: Prompt inventory (2 Agent active / 11 QPER archived), dev progress updated
- System overview doc v6.8: SSA Agent MVP milestone
- Deployment checklist: DB-5 (seed script) + BE-10 (prompt management)

Made-with: Cursor

frontend-v2/src/modules/ssa/hooks/useSSAChat.ts

@@ -23,7 +23,7 @@ import type { WorkflowPlan } from '../types';
 // Types
 // ────────────────────────────────────────────
 
-export type ChatIntentType = 'chat' | 'explore' | 'consult' | 'analyze' | 'discuss' | 'feedback';
+export type ChatIntentType = 'chat' | 'explore' | 'consult' | 'analyze' | 'discuss' | 'feedback' | 'system';
 
 export interface ChatMessage {
   id: string;
@@ -33,6 +33,10 @@ export interface ChatMessage {
   intent?: ChatIntentType;
   status?: 'complete' | 'generating' | 'error';
   createdAt: string;
+  /** Agent 执行 ID（用于在对话中渲染可点击的结果卡片） */
+  executionId?: string;
+  /** Agent 执行的查询摘要 */
+  executionQuery?: string;
 }
 
 export interface IntentMeta {
@@ -134,20 +138,45 @@ export function useSSAChat(): UseSSAChatReturn {
       if (!resp.ok) return;
 
       const data = await resp.json();
+      const loaded: ChatMessage[] = [];
+
       if (data.messages?.length > 0) {
-        const loaded: ChatMessage[] = data.messages
-          .filter((m: any) => m.status !== 'generating')
-          .map((m: any) => ({
-            id: m.id,
-            role: m.role,
-            content: m.content || '',
-            thinking: m.thinkingContent,
-            intent: m.intent,
-            status: m.status || 'complete',
-            createdAt: m.createdAt,
-          }));
-        setChatMessages(loaded);
+        loaded.push(
+          ...data.messages
+            .filter((m: any) => m.status !== 'generating')
+            .map((m: any) => ({
+              id: m.id,
+              role: m.role as 'user' | 'assistant',
+              content: m.content || '',
+              thinking: m.thinkingContent,
+              intent: m.intent,
+              status: (m.status || 'complete') as 'complete' | 'generating' | 'error',
+              createdAt: m.createdAt,
+              executionId: m.executionId,
+              executionQuery: m.executionQuery,
+            })),
+        );
       }
+
+      // 从 store 中的 agentExecutionHistory 注入结果卡片
+      const { agentExecutionHistory } = useSSAStore.getState();
+      for (const exec of agentExecutionHistory) {
+        if (exec.status === 'completed') {
+          loaded.push({
+            id: `exec-card-${exec.id}`,
+            role: 'assistant',
+            content: `✅ 分析完成：${exec.query}`,
+            status: 'complete',
+            intent: 'system',
+            executionId: exec.id,
+            executionQuery: exec.query,
+            createdAt: exec.createdAt || new Date().toISOString(),
+          });
+        }
+      }
+
+      loaded.sort((a, b) => new Date(a.createdAt).getTime() - new Date(b.createdAt).getTime());
+      setChatMessages(loaded);
     } catch (err) {
       console.warn('[useSSAChat] Failed to load history:', err);
     }
@@ -329,13 +358,27 @@ export function useSSAChat(): UseSSAChatReturn {
             }
 
             if (parsed.type === 'code_result') {
-              const { updateAgentExecution } = useSSAStore.getState();
+              const { updateAgentExecution, agentExecution: curExec } = useSSAStore.getState();
               updateAgentExecution({
                 reportBlocks: parsed.reportBlocks,
-                generatedCode: parsed.code || useSSAStore.getState().agentExecution?.generatedCode,
+                generatedCode: parsed.code || curExec?.generatedCode,
                 status: 'completed',
                 durationMs: parsed.durationMs,
               });
+
+              // 在对话中插入可点击的结果卡片
+              const execId = curExec?.id;
+              const execQuery = curExec?.query || content;
+              setChatMessages(prev => [...prev, {
+                id: crypto.randomUUID(),
+                role: 'assistant' as const,
+                content: `✅ 分析完成：${execQuery}`,
+                status: 'complete' as const,
+                intent: 'system',
+                executionId: execId,
+                executionQuery: execQuery,
+                createdAt: new Date().toISOString(),
+              }]);
               continue;
             }
 
@@ -448,7 +491,7 @@ export function useSSAChat(): UseSSAChatReturn {
       role: 'assistant' as const,
       content: auditContent,
       status: 'complete' as const,
-      intent: 'system' as any,
+      intent: 'system',
       createdAt: new Date().toISOString(),
     }]);