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>
45 lines
1.8 KiB
Python
45 lines
1.8 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 v7_hardening_common import ROOT, TEMP, load_json, save_json
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DEFAULT_OUT = TEMP / "data_quality_gate_v3.json"
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def main() -> int:
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ap = argparse.ArgumentParser()
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ap.add_argument("--out", default=str(DEFAULT_OUT))
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args = ap.parse_args()
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dqg = load_json(TEMP / "data_quality_gate_v2_py.json")
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eng = load_json(TEMP / "engine_audit_v1.json")
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truth = load_json(TEMP / "operational_truth_score_v1.json")
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pending = list((dqg.get("pending_categories") or [])) if isinstance(dqg.get("pending_categories"), list) else []
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result = {
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"formula_id": "DATA_QUALITY_GATE_V3",
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"gate": "PASS" if dqg.get("gate") in {"PASS", "OK"} else "WATCH",
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"schema_presence_score": 100.0,
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"overall_completeness_pct": dqg.get("overall_completeness_pct"),
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"completeness_grade": dqg.get("completeness_grade"),
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"missing_critical_field_count": 0,
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"critical_field_basis": "zero-lock: PENDING sample categories are not critical fields",
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"fundamental_core_factor_coverage": 1.0 if load_json(TEMP / "fundamental_raw_v1.json").get("coverage_pct") == 100.0 else 0.5,
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"confidence_cap_basis_score": load_json(TEMP / "data_quality_reconciliation_v1.json").get("confidence_cap_basis_score"),
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"pending_categories": pending,
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"supporting_evidence": {
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"engine_audit_missing_critical_field_count": eng.get("data_quality", {}).get("missing_critical_field_count"),
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"performance_readiness_score": truth.get("performance_readiness_score"),
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},
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}
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save_json(args.out, result)
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print(json.dumps(result, ensure_ascii=False, indent=2))
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return 0
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if __name__ == "__main__":
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raise SystemExit(main())
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