Files
QuantEngineByItz/tools/run_release_ci_gate_v2.py
T
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

162 lines
6.3 KiB
Python

"""run_release_ci_gate_v2.py — RELEASE_CI_GATE_V2
P1-024: 100% 완료 정의를 코드로 강제하는 CI 게이트.
schema → source_recheck → formula_coverage → golden → pass100 → execution_precedence
→ outcome_readiness → LLM_freedom 순서로 순차 검증.
하나라도 FAIL이면 release_ci_gate=BLOCK_DEPLOYMENT.
"""
from __future__ import annotations
import json
from datetime import datetime, timezone
from pathlib import Path
from typing import Any
from v7_hardening_common import ROOT, TEMP, load_json, save_json
DEFAULT_OUT = TEMP / "release_ci_gate_v2.json"
def _f(v: Any, default: float = 0.0) -> float:
try:
return float(v)
except Exception:
return default
def _check(step: str, condition: bool, actual: Any, target: str, source: str) -> dict[str, Any]:
return {
"step": step,
"status": "PASS" if condition else "FAIL",
"actual": actual,
"target": target,
"source": source,
}
def main() -> int:
checks: list[dict[str, Any]] = []
# ── Step 1: Schema Validity ──────────────────────────────────────────────
dq = load_json(TEMP / "data_quality_reconciliation_v1.json")
schema_score = _f(dq.get("schema_presence_score"))
checks.append(_check(
"1_SCHEMA_VALIDITY",
schema_score >= 99.0,
schema_score,
">= 99",
"data_quality_reconciliation_v1.json",
))
# ── Step 2: Source Recheck (Single Truth) ────────────────────────────────
stl = load_json(TEMP / "single_truth_ledger_v2.json")
conflict = int(stl.get("conflict_count") or 0)
checks.append(_check(
"2_SOURCE_RECHECK",
conflict == 0,
conflict,
"== 0",
"single_truth_ledger_v2.json",
))
# ── Step 3: Formula Coverage ─────────────────────────────────────────────
cov = load_json(TEMP / "harness_coverage_audit.json")
true_missing = int(cov.get("true_missing_count") or 0)
checks.append(_check(
"3_FORMULA_COVERAGE",
true_missing == 0,
true_missing,
"== 0",
"harness_coverage_audit.json",
))
# ── Step 4: Golden Test ──────────────────────────────────────────────────
golden = load_json(TEMP / "formula_behavioral_coverage_v3.json")
golden_fail = int(golden.get("failed_cases") or 0)
checks.append(_check(
"4_GOLDEN_TEST",
golden_fail == 0,
golden_fail,
"failed_cases == 0",
"formula_behavioral_coverage_v3.json",
))
# ── Step 5: PASS_100 Active (v3) ─────────────────────────────────────────
p100 = load_json(TEMP / "pass_100_criteria_v3.json")
is_active = bool(p100.get("is_active"))
checks.append(_check(
"5_PASS_100_ACTIVE",
is_active,
is_active,
"is_active == True",
"pass_100_criteria_v3.json",
))
# ── Step 6: Execution Precedence ─────────────────────────────────────────
v4 = load_json(TEMP / "final_execution_decision_v4.json")
audit_hts = str(v4.get("global_execution_gate") or "") == "AUDIT_ONLY" and int(v4.get("hts_order_count") or 0) == 0
hts_ready = str(v4.get("global_execution_gate") or "") == "HTS_READY" and int(v4.get("hts_order_count") or 0) > 0
precedence_ok = audit_hts or hts_ready
checks.append(_check(
"6_EXECUTION_PRECEDENCE",
precedence_ok,
f"gate={v4.get('global_execution_gate')},hts={v4.get('hts_order_count')}",
"AUDIT_ONLY→hts=0 OR HTS_READY→hts>0",
"final_execution_decision_v4.json",
))
# ── Step 7: Outcome Readiness (honest) ───────────────────────────────────
truth = load_json(TEMP / "operational_truth_score_v1.json")
truth_gate = str(truth.get("gate") or "")
# readiness is expected to be WATCH_PENDING_SAMPLE until T+20 accumulates — not a hard block
readiness_ok = truth_gate != "BLOCK_EXECUTION"
checks.append(_check(
"7_OUTCOME_READINESS",
readiness_ok,
truth_gate,
"!= BLOCK_EXECUTION (WATCH acceptable)",
"operational_truth_score_v1.json",
))
# ── Step 8: LLM Freedom ──────────────────────────────────────────────────
honesty = load_json(TEMP / "truthfulness_guard_v1.json")
violations = int(honesty.get("contradiction_count") or 0)
checks.append(_check(
"8_LLM_FREEDOM",
violations == 0,
violations,
"contradiction_count == 0",
"truthfulness_guard_v1.json",
))
# ── 결과 집계 ────────────────────────────────────────────────────────────
failed = [c for c in checks if c["status"] == "FAIL"]
gate = "PASS" if not failed else "BLOCK_DEPLOYMENT"
result = {
"formula_id": "RELEASE_CI_GATE_V2",
"gate": gate,
"checks_total": len(checks),
"checks_passed": len(checks) - len(failed),
"checks_failed": len(failed),
"failed_steps": [c["step"] for c in failed],
"deploy_allowed": gate == "PASS",
"checks": checks,
"generated_at": datetime.now(timezone.utc).isoformat(),
"source_path": "Temp/release_ci_gate_v2.json",
}
save_json(str(DEFAULT_OUT), result)
summary = {k: v for k, v in result.items() if k != "checks"}
print(json.dumps(summary, indent=2, ensure_ascii=True))
if gate == "PASS":
print("RELEASE_CI_GATE_V2_PASS")
else:
print(f"RELEASE_CI_GATE_V2_BLOCK_DEPLOYMENT ({len(failed)} checks failed)")
for c in failed:
print(f" FAIL {c['step']}: actual={c['actual']} target={c['target']}")
return 0 if gate == "PASS" else 1
if __name__ == "__main__":
raise SystemExit(main())