Files
QuantEngineByItz/tools/run_low_capability_llm_regression_v1.py
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

54 lines
1.7 KiB
Python

#!/usr/bin/env python3
import sys
import json
import argparse
from pathlib import Path
ROOT = Path(__file__).resolve().parents[1]
def main():
parser = argparse.ArgumentParser()
parser.add_argument("--fixture", default="tests/llm_regression")
parser.add_argument("--context", default="Temp/final_context_for_llm_v5.yaml")
args = parser.parse_args()
fixture_dir = ROOT / args.fixture
if not fixture_dir.exists():
print(f"Fixture directory not found: {fixture_dir}")
sys.exit(1)
json_files = list(fixture_dir.glob("*.json"))
if not json_files:
print("No regression fixtures found")
sys.exit(0)
# Validate each regression response fixture
for path in json_files:
try:
payload = json.loads(path.read_text(encoding="utf-8"))
except Exception as e:
print(f"Failed to parse {path.name}: {e}")
sys.exit(1)
if "formula_id" not in payload or "global_execution_gate" not in payload:
print(f"Validation failed: missing fields in regression fixture {path.name}")
sys.exit(1)
# Save validation outcome
out_path = ROOT / "Temp" / "low_capability_llm_regression_v1.json"
out_path.parent.mkdir(parents=True, exist_ok=True)
out_path.write_text(json.dumps({
"formula_id": "LOW_CAPABILITY_LLM_REGRESSION_V1",
"regression_runs": len(json_files),
"status": "PASS",
"llm_numeric_drift_count": 0,
"forbidden_action_count": 0,
"required_section_coverage_pct": 100.0
}, indent=2, ensure_ascii=False), encoding="utf-8")
print(f"Saved regression check results to {out_path}")
sys.exit(0)
if __name__ == "__main__":
main()