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>
This commit is contained in:
2026-06-13 13:20:14 +09:00
commit ee3e799de1
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import yaml
import argparse
import sys
import json
from pathlib import Path
ROOT = Path(__file__).resolve().parents[1]
def main():
parser = argparse.ArgumentParser()
parser.add_argument("--taxonomy", default="spec/43_quant_factor_taxonomy.yaml")
args = parser.parse_args()
taxonomy_path = ROOT / args.taxonomy
if not taxonomy_path.exists():
print(f"Taxonomy file not found: {taxonomy_path}")
return 1
try:
tax = yaml.safe_load(taxonomy_path.read_text(encoding="utf-8"))
except Exception as e:
print(f"Error parsing taxonomy: {e}")
return 1
required_fields = tax.get("required_lifecycle_fields", [])
if not required_fields:
# Fallback to 14 fields if not in taxonomy
required_fields = [
"factor_id", "hypothesis", "horizon", "decay_half_life",
"input_fields", "formula_id", "conflict_precedence",
"activation_threshold", "retirement_condition", "owner",
"reviewer", "lifecycle_state", "activation_date", "expected_edge_formula"
]
factors_path = ROOT / "spec" / "factor_lifecycle_registry.yaml"
if not factors_path.exists():
print(f"Factors registry not found: {factors_path}")
return 1
try:
factors_data = yaml.safe_load(factors_path.read_text(encoding="utf-8"))
except Exception as e:
print(f"Error parsing factors: {e}")
return 1
factors = factors_data.get("factors", [])
if isinstance(factors_data, dict) and "factors" not in factors_data:
factors = list(factors_data.values())
report = {
"formula_id": "FACTOR_LIFECYCLE_COMPLETENESS_V2",
"factor_count": len(factors),
"missing_fields": []
}
total_fields = len(factors) * len(required_fields)
filled_fields = 0
for factor in factors:
if not isinstance(factor, dict): continue
for field in required_fields:
if field in factor and factor[field]:
filled_fields += 1
else:
report["missing_fields"].append({
"factor_id": factor.get("factor_id", "unknown"),
"field": field
})
report["completeness_pct"] = (filled_fields / total_fields * 100) if total_fields > 0 else 100
report["gate"] = "PASS" if report["completeness_pct"] == 100 else "WARN"
print(json.dumps(report, indent=2))
return 0
if __name__ == "__main__":
main()