Files
QuantEngineByItz/tools/build_decision_evidence_score_v2.py
T
kjh2064 ee3e799de1 feat: 리밸런싱 엔진 V1 + GAS 버그 수정 (2026-06-13)
주요 변경:
- tools/build_rebalance_engine_v1.py: REBALANCE_ENGINE_V1 신규
  * account_snapshot 직접 합산(_build_snap_position_map) → 소수주 분리 행 병합
  * 레짐 소스 macro.REGIME_PRELIM 최우선 (GAS 와 동일)
- src/gas_adapter_parts/gdf_06_rebalance.gs: runRebalanceSheet_() 신규
  * Logger.log / getSpreadsheet_() 로 run_all 연동 수정
- src/gas_adapter_parts/gdc_01_fetch_fundamentals.gs
  * _mergePositionRecord_(): 소수주 중복 행 합산 신규
  * parseInt → parseFloat (qty, availQty)
- src/gas_adapter_parts/gdf_01_price_metrics.gs
  * 미보유 종목 SELL_READY → WATCH_EXIT_SIGNAL
- spec/41_release_dag.yaml: build_rebalance_sheet 노드 추가 (step_count 63)
- spec/51_formula_lifecycle_registry.yaml: REBALANCE_ENGINE_V1 등록

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-06-13 13:20:14 +09:00

107 lines
3.4 KiB
Python

from __future__ import annotations
import argparse
import json
import re
from pathlib import Path
from typing import Any
ROOT = Path(__file__).resolve().parents[1]
DEFAULT_JSON = ROOT / "GatherTradingData.json"
DEFAULT_OUT = ROOT / "Temp" / "decision_evidence_score_v2.json"
def _load(path: Path) -> dict[str, Any]:
try:
data = json.loads(path.read_text(encoding="utf-8"))
except Exception:
return {}
return data if isinstance(data, dict) else {}
def _rows(v: Any) -> list[dict[str, Any]]:
if isinstance(v, list):
return [x for x in v if isinstance(x, dict)]
if isinstance(v, str):
try:
return _rows(json.loads(v))
except Exception:
return []
return []
def main() -> int:
ap = argparse.ArgumentParser()
ap.add_argument("--json", default=str(DEFAULT_JSON))
ap.add_argument("--out", default=str(DEFAULT_OUT))
args = ap.parse_args()
jp = Path(args.json)
op = Path(args.out)
if not jp.is_absolute():
jp = ROOT / jp
if not op.is_absolute():
op = ROOT / op
payload = _load(jp)
h = {}
if isinstance(payload.get("data"), dict) and isinstance(payload["data"].get("_harness_context"), dict):
h.update(payload["data"]["_harness_context"])
if isinstance(payload.get("hApex"), dict):
h.update(payload["hApex"])
bp = _rows(h.get("order_blueprint_json"))
actionable = [r for r in bp if str(r.get("order_type") or "").upper() in {"BUY", "ADD_ON", "STAGED_BUY", "SELL", "STOP_LOSS", "TRIM"}]
rationale_re = re.compile(r"([A-Z][A-Z0-9_]*_V[0-9]+|NO_EXECUTION:[A-Z_]+|EXPORT_GATE_[A-Z_]+)")
rationale_total = 0
rationale_ok = 0
free_text_violation = 0
numeric_source_cov = 100.0
for row in actionable:
rc = str(row.get("rationale_code") or "")
if rc:
rationale_total += 1
if rationale_re.search(rc):
rationale_ok += 1
else:
free_text_violation += 1
for k in ("quantity", "limit_price_krw", "stop_price_krw", "take_profit_price_krw"):
if k in row and row.get(k) not in (None, "") and "rationale_code" not in row:
numeric_source_cov = 0.0
if len(actionable) == 0:
score = None
score_state = "N_A_NO_ACTIONABLE_ORDERS"
gate = "NO_ACTIONABLE_ORDERS_NEUTRAL"
else:
rq = 100.0 if rationale_total == 0 else (rationale_ok / max(1, rationale_total)) * 100.0
score = round(max(0.0, min(100.0, rq * 0.7 + numeric_source_cov * 0.3)), 2)
score_state = "SCORED"
gate = "PASS" if score >= 92 else ("WARN" if score >= 80 else "FAIL")
out = {
"formula_id": "DECISION_EVIDENCE_SCORE_V2",
"score": score,
"score_state": score_state,
"evidence_rows": len(bp),
"rationale_rows": rationale_total,
"numeric_source_coverage_pct": numeric_source_cov,
"free_text_rationale_violation_count": free_text_violation,
"gate": gate,
"metrics": {
"rationale_ok": rationale_ok,
"actionable_rows": len(actionable)
}
}
op.parent.mkdir(parents=True, exist_ok=True)
op.write_text(json.dumps(out, ensure_ascii=False, indent=2), encoding="utf-8")
print(json.dumps(out, ensure_ascii=False, indent=2))
return 0
if __name__ == "__main__":
raise SystemExit(main())