Merge pull request 'feat: 성과 모니터링 대시보드 Excel(xlsx) 출력 주입 기능 보완' (#20) from feature/wbs-4.4-refinement into main

Reviewed-on: http://192.168.123.100:8418/KimJaeHyun/myfinance/pulls/20
This commit is contained in:
2026-06-13 18:59:37 +09:00
@@ -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} "