feat: 성과 모니터링 대시보드 Excel(xlsx) 출력 주입 기능 보완 (2026-06-13)

주요 변경 사항:
- tools/build_continuous_evaluation_dashboard_v1.py 수정:
  * openpyxl을 사용해 JSON 대시보드 산출 결과를 GatherTradingData.xlsx의 evaluation_dashboard 시트에 실시간 기입하도록 연동
  * 기존 데이터 자동 클리어 및 주간 스코어카드 테이블 D~H열 병렬 기입 구현
- 검증 결과: python tools/build_continuous_evaluation_dashboard_v1.py 정상 구동 및 Excel 저장 완료

Co-Authored-By: Antigravity AI <noreply@google.com>

tools/build_continuous_evaluation_dashboard_v1.py

@@ -156,6 +156,61 @@ def main() -> int:
     }
     save_json(args.out, result)
 
+    # ── Excel 파일 기입 (GatherTradingData.xlsx > evaluation_dashboard) ──
+    try:
+        import openpyxl
+        xlsx_path = ROOT / "GatherTradingData.xlsx"
+        if xlsx_path.exists():
+            wb = openpyxl.load_workbook(xlsx_path)
+            sheet_name = "evaluation_dashboard"
+            
+            # 기존 시트 클리어 및 재생성
+            if sheet_name in wb.sheetnames:
+                ws = wb[sheet_name]
+                ws.delete_rows(1, ws.max_row + 10)
+            else:
+                ws = wb.create_sheet(sheet_name)
+            
+            # 1. SUMMARY 섹션 기입
+            ws.append(["Metric", "Value"])
+            summary_metrics = [
+                ("Generated At", result["generated_at"]),
+                ("Gate Status", result["gate"]),
+                ("Expectancy Pct", result["expectancy_pct"]),
+                ("Win Rate Pct", result["win_rate_pct"]),
+                ("Max Drawdown Pct", result["max_drawdown_pct"]),
+                ("Total Live Evaluated T+20", result["total_live_evaluated_t20"]),
+                ("Total Live Pending", result["total_live_pending"]),
+                ("Replay Record Count", result["replay_informational"]["replay_record_count"]),
+                ("Sufficient For Metrics", result["data_confidence"]["sufficient_for_metrics"]),
+                ("Min Required", result["data_confidence"]["min_required"]),
+                ("Current Live T+20", result["data_confidence"]["current_live_t20"]),
+                ("Gap", result["data_confidence"]["gap"]),
+                ("Estimated Ready", result["data_confidence"]["estimated_ready"])
+            ]
+            for m, v in summary_metrics:
+                ws.append([m, v])
+                
+            # 2. WEEKLY SCORECARD 섹션 기입 (오른쪽 열인 D열부터 시작)
+            ws.cell(row=1, column=4, value="Week")
+            ws.cell(row=1, column=5, value="Expectancy_Pct")
+            ws.cell(row=1, column=6, value="Win_Rate_Pct")
+            ws.cell(row=1, column=7, value="Max_Drawdown_Pct")
+            ws.cell(row=1, column=8, value="Trade_Count")
+            
+            for idx, w in enumerate(weekly_scorecard):
+                r_num = idx + 2
+                ws.cell(row=r_num, column=4, value=w.get("week"))
+                ws.cell(row=r_num, column=5, value=w.get("expectancy_pct"))
+                ws.cell(row=r_num, column=6, value=w.get("win_rate_pct"))
+                ws.cell(row=r_num, column=7, value=w.get("max_drawdown_pct"))
+                ws.cell(row=r_num, column=8, value=w.get("trade_count"))
+                
+            wb.save(xlsx_path)
+            print(f"[EVALUATION_DASHBOARD] Saved evaluation_dashboard sheet to {xlsx_path.name}")
+    except Exception as e:
+        print(f"[EVALUATION_DASHBOARD][ERROR] Failed to save Excel sheet: {e}")
+
     suffix = f"(need {max(0, MIN_T20_FOR_METRICS - live_t20_count)} more LIVE T+20)" if insufficient else ""
     print(
         f"[CONTINUOUS_EVALUATION_DASHBOARD_V1] gate={gate} "