feat: Enhance Optuna integration and logging for backtesting framework

Changes:
- Added new API endpoints for continuing and confirming Optuna jobs, allowing for better management of ongoing studies.
- Introduced detailed logging for tick feed tracking and order book processing, improving traceability of vendor performance during backtests.
- Updated database schema to include new fields for managing Optuna study results, enhancing the ability to track study progress and outcomes.
- Refactored existing functions to utilize the new logging and tracking features, ensuring consistency across the backtesting framework.

Impact:
- These enhancements improve the robustness and transparency of the Optuna backtesting process, facilitating better analysis and optimization of trading strategies.

kis_trader/backtest/optuna_rerun_postprocess.py

@@ -220,6 +220,33 @@ def rerun_postprocess_on_json(path: str, *, ob_n_trials: int = 0) -> Dict[str, A
         topn = data.get("postprocess_topn") or {}
         n = len(topn.get("postprocess_by_anchor") or [])
         logger.info("📌 후처리 재저장 %s anchors=%d overfit=%s", p, n, topn.get("apply_overfit_pct"))
+        try:
+            from kis_trader.backtest.optuna_study_store import (
+                count_study_states,
+                save_payload,
+            )
+            import optuna
+            from kis_trader.backtest.optuna_common import resolve_optuna_storage_url
+
+            sname = str(data.get("optuna_study_name") or "")
+            n_c = int(data.get("optuna_n_complete") or 0)
+            if sname:
+                try:
+                    st = optuna.load_study(
+                        study_name=sname,
+                        storage=resolve_optuna_storage_url(None),
+                    )
+                    n_c, _nr, n_f = count_study_states(st)
+                except Exception:
+                    n_f = n_c
+                save_payload(
+                    study_name=sname,
+                    out_data=data,
+                    n_complete=n_f if n_f else n_c,
+                    pp_status="done",
+                )
+        except Exception as exc:
+            logger.warning("⚠️ optuna_study_result 반영 실패: %s", exc)
         return {"ok": True, "path": str(p), "anchors": n, "run_ob_whipsaw": True}
     finally:
         if ctx is not None: