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
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from __future__ import annotations
import json
from pathlib import Path
import pandas as pd
from convert_xlsx_to_json import find_header_row, clean_dataframe, normalize_code
ROOT = Path(__file__).resolve().parents[1]
XLSX = ROOT / "GatherTradingData.xlsx"
JSON_PATH = ROOT / "GatherTradingData.json"
def validate_conversion(xlsx_path: Path, json_path: Path) -> int:
print(f"Validating {xlsx_path.name} vs {json_path.name}...")
payload = json.loads(json_path.read_text(encoding="utf-8"))
json_data = payload["data"]
xl = pd.ExcelFile(xlsx_path)
errors: list[str] = []
for sheet in xl.sheet_names:
if sheet.startswith("cs_chunk_"):
continue
if sheet not in json_data:
errors.append(f"{sheet}: missing in JSON")
continue
header_row = find_header_row(xlsx_path, sheet)
df = pd.read_excel(xlsx_path, sheet_name=sheet, header=header_row)
df = clean_dataframe(df)
expected_rows = len(df)
actual = json_data[sheet]
actual_rows = len(actual) if hasattr(actual, "__len__") else 0
if expected_rows != actual_rows:
errors.append(f"{sheet}: XLSX rows={expected_rows} JSON rows={actual_rows}")
continue
if isinstance(actual, list) and actual:
columns = set(df.columns)
json_columns = set(actual[0])
if not columns <= json_columns:
errors.append(f"{sheet}: JSON missing columns sample={sorted(columns - json_columns)[:10]}")
if "Ticker" in columns:
xlsx_ticker = normalize_code(df.iloc[0]["Ticker"])
json_ticker = str(actual[0].get("Ticker", ""))
if xlsx_ticker != json_ticker:
errors.append(f"{sheet}: first Ticker mismatch XLSX={xlsx_ticker} JSON={json_ticker}")
if errors:
print("JSON CONVERSION VALIDATION FAIL")
for err in errors:
print(f"- {err}")
return 1
print("JSON CONVERSION VALIDATION OK")
return 0
if __name__ == "__main__":
raise SystemExit(validate_conversion(XLSX, JSON_PATH))