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