kjh2064
ee3e799de1
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>
69 lines
2.2 KiB
Python
69 lines
2.2 KiB
Python
from __future__ import annotations
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import argparse
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import json
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from pathlib import Path
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from typing import Any
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ROOT = Path(__file__).resolve().parents[1]
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DEFAULT_JSON = ROOT / "Temp" / "data_quality_reconciliation_v1.json"
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def _load_json(path: Path) -> dict[str, Any]:
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if not path.exists():
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return {}
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try:
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obj = json.loads(path.read_text(encoding="utf-8"))
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except Exception:
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return {}
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return obj if isinstance(obj, dict) else {}
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def main() -> int:
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ap = argparse.ArgumentParser()
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ap.add_argument("--json", default=str(DEFAULT_JSON))
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ap.add_argument("--min-schema-score", type=float, default=100.0)
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ap.add_argument("--min-investment-quality-score", type=float, default=90.0)
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ap.add_argument("--allow-conflict", action="store_true")
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args = ap.parse_args()
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json_path = Path(args.json)
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if not json_path.is_absolute():
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json_path = ROOT / json_path
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payload = _load_json(json_path)
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errors: list[str] = []
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formula_id = str(payload.get("formula_id") or "")
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schema_score = float(payload.get("schema_presence_score") or 0.0)
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invest_score = float(payload.get("investment_quality_score") or 0.0)
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conflict = bool(payload.get("quality_conflict_flag"))
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if formula_id != "DATA_QUALITY_RECONCILIATION_V1":
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errors.append(f"formula_id={formula_id}")
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if schema_score < args.min_schema_score:
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errors.append(f"schema_presence_score={schema_score:.2f} < {args.min_schema_score:.2f}")
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if invest_score < args.min_investment_quality_score:
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errors.append(
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f"investment_quality_score={invest_score:.2f} < {args.min_investment_quality_score:.2f}"
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)
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if conflict and not args.allow_conflict:
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errors.append("quality_conflict_flag=true")
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if errors:
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print("DATA_QUALITY_RECONCILIATION_V1_FAIL")
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for err in errors:
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print(f" {err}")
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return 1
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print("DATA_QUALITY_RECONCILIATION_V1_OK")
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print(f" schema_presence_score: {schema_score:.2f}")
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print(f" investment_quality_score: {invest_score:.2f}")
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print(f" quality_conflict_flag: {conflict}")
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return 0
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if __name__ == "__main__":
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raise SystemExit(main())
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