kjh2064
9e6e2ded2f
- operational_report.json/md와 final_decision_packet_v4 생성 경로를 .NET으로 전환했습니다. - CI, 운영 게이트, 릴리스 DAG, 대시보드의 운영 진입점을 새 경로로 정렬했습니다. - legacy Python 렌더러는 비운영으로 명시했습니다.
1953 lines
97 KiB
Python
1953 lines
97 KiB
Python
from __future__ import annotations
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import argparse
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import json
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import subprocess
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import sys
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from pathlib import Path
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from typing import Any
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ROOT = Path(__file__).resolve().parents[1]
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DEFAULT_JSON = ROOT / "GatherTradingData.json"
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DEFAULT_REPORT = ROOT / "Temp" / "operational_report.md"
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DEFAULT_HARNESS_JSON = ROOT / "Temp" / "prediction_improvement_harness.json"
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DEFAULT_GATE_RESULT_JSON = ROOT / "Temp" / "engine_harness_gate_result.json"
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DEFAULT_RULE_LIFECYCLE_JSON = ROOT / "Temp" / "rule_lifecycle_policy.json"
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DEFAULT_STRATEGY_HARNESS_JSON = ROOT / "Temp" / "strategy_harness_v2.json"
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DEFAULT_SECTOR_TREND_JSON = ROOT / "Temp" / "sector_trend_analysis_v1.json"
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def _ensure_utf8_stdio() -> None:
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if sys.stdout.encoding and sys.stdout.encoding.lower() not in ("utf-8", "utf8"):
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sys.stdout = open(sys.stdout.fileno(), mode="w", encoding="utf-8", buffering=1)
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if sys.stderr.encoding and sys.stderr.encoding.lower() not in ("utf-8", "utf8"):
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sys.stderr = open(sys.stderr.fileno(), mode="w", encoding="utf-8", buffering=1)
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def _run(cmd: list[str]) -> tuple[int, str]:
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proc = subprocess.run(
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cmd,
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cwd=str(ROOT),
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text=True,
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capture_output=True,
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encoding="utf-8",
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errors="replace",
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)
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out = (proc.stdout or "") + (proc.stderr or "")
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return proc.returncode, out.strip()
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def _load_json(path: Path) -> dict[str, Any]:
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if not path.exists():
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return {}
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try:
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data = json.loads(path.read_text(encoding="utf-8"))
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except Exception:
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return {}
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return data if isinstance(data, dict) else {}
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def main() -> int:
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_ensure_utf8_stdio()
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parser = argparse.ArgumentParser(description="Run deterministic engine harness gate checks end-to-end.")
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parser.add_argument("--json", dest="json_path", default=str(DEFAULT_JSON))
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parser.add_argument("--report", dest="report_path", default=str(DEFAULT_REPORT))
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parser.add_argument("--harness-json", dest="harness_json_path", default=str(DEFAULT_HARNESS_JSON))
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parser.add_argument("--result-json", dest="result_json_path", default=str(DEFAULT_GATE_RESULT_JSON))
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parser.add_argument("--rule-lifecycle-json", dest="rule_lifecycle_json_path", default=str(DEFAULT_RULE_LIFECYCLE_JSON))
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parser.add_argument("--strategy-harness-json", dest="strategy_harness_json_path", default=str(DEFAULT_STRATEGY_HARNESS_JSON))
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args = parser.parse_args()
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json_path = Path(args.json_path)
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report_path = Path(args.report_path)
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harness_json_path = Path(args.harness_json_path)
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result_json_path = Path(args.result_json_path)
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rule_lifecycle_json_path = Path(args.rule_lifecycle_json_path)
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strategy_harness_json_path = Path(args.strategy_harness_json_path)
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sector_trend_json_path = DEFAULT_SECTOR_TREND_JSON
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if not json_path.is_absolute():
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json_path = ROOT / json_path
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if not report_path.is_absolute():
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report_path = ROOT / report_path
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if not harness_json_path.is_absolute():
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harness_json_path = ROOT / harness_json_path
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if not result_json_path.is_absolute():
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result_json_path = ROOT / result_json_path
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if not rule_lifecycle_json_path.is_absolute():
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rule_lifecycle_json_path = ROOT / rule_lifecycle_json_path
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if not strategy_harness_json_path.is_absolute():
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strategy_harness_json_path = ROOT / strategy_harness_json_path
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checks: list[dict[str, Any]] = [
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("validate_harness_governance_contract", ["python", "tools/validate_harness_governance_contract.py"], ["HARNESS_GOVERNANCE_OK"]),
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# P0-T4: strict < 100%는 Python-tool 구현 보완 구조상 정상 (adjusted=100%, true_missing=0).
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# warn_only=True — GS strict FAIL은 파이프라인 차단 아닌 상태 보고.
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("measure_yaml_gs_ps_coverage", ["python", "tools/measure_yaml_gs_ps_coverage.py", "--strict-100"], ["YAML_GS_PS_COVERAGE_OK"], True),
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("audit_coverage", ["python", "tools/harness_coverage_auditor.py"], ["HARNESS_COVERAGE_AUDIT_OK"]),
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(
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"validate_harness_coverage_auditor",
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["python", "tools/validate_harness_coverage_auditor.py"],
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["HARNESS_COVERAGE_AUDITOR_OK"],
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),
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("validate_strategy_tests_contract", ["python", "tools/validate_strategy_tests_contract.py"], ["STRATEGY_TESTS_CONTRACT_OK"]),
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(
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"build_formula_runtime_registry_v1",
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["python", "tools/build_formula_runtime_registry_v1.py", "--audit", str(ROOT / "Temp" / "harness_coverage_audit.json"), "--out", str(ROOT / "Temp" / "formula_runtime_registry_v1.json")],
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["FORMULA_IMPLEMENTATION_REGISTRY_V1", "gate: PASS"],
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),
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(
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"validate_formula_runtime_registry_v1",
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["python", "tools/validate_formula_runtime_registry_v1.py", "--json", str(ROOT / "Temp" / "formula_runtime_registry_v1.json"), "--target-coverage", "100"],
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["FORMULA_IMPLEMENTATION_REGISTRY_V1_OK"],
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),
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("validate_harness_context", ["python", "tools/validate_harness_context.py", str(json_path)], ["HARNESS CONTEXT OK"]),
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("build_fundamental_raw_v1", ["python", "tools/ingest_fundamental_raw.py", "--json", str(json_path), "--out", str(ROOT / "Temp" / "fundamental_raw_v1.json")], ["FUNDAMENTAL_RAW_INGEST_V1_OK"]), # yahoo fallback 활성(--no-naver 해제, --no-yahoo 미사용)
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("build_fundamental_multifactor_v3", ["python", "tools/build_fundamental_multifactor_v3.py", "--raw", str(ROOT / "Temp" / "fundamental_raw_v1.json"), "--json", str(json_path), "--out", str(ROOT / "Temp" / "fundamental_multifactor_v3.json")], ["FUNDAMENTAL_MULTIFACTOR_V3_OK"]),
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("build_horizon_classification_v1", ["python", "tools/build_horizon_classification_v1.py", "--json", str(json_path), "--fund", str(ROOT / "Temp" / "fundamental_multifactor_v3.json"), "--out", str(ROOT / "Temp" / "horizon_classification_v1.json")], ["HORIZON_CLASSIFICATION_V1"]),
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("measure_harness_coverage_strict_100", ["python", "tools/measure_harness_coverage.py", str(json_path), "--strict-100"], ["전체 커버리지", "100.0%"]),
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(
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"build_rule_lifecycle_policy",
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["python", "tools/build_rule_lifecycle_policy.py", "--history", str(ROOT / "Temp" / "proposal_evaluation_history.json"), "--output", str(rule_lifecycle_json_path)],
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["RULE_LIFECYCLE_POLICY_BUILT"],
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),
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(
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"validate_rule_lifecycle_policy",
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["python", "tools/validate_rule_lifecycle_policy.py", "--json", str(rule_lifecycle_json_path)],
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["RULE_LIFECYCLE_POLICY_OK"],
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),
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(
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"build_strategy_harness_v2",
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["python", "tools/build_strategy_harness_v2.py", "--json", str(json_path), "--output", str(strategy_harness_json_path)],
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["STRATEGY_HARNESS_V2_BUILT"],
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),
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(
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"validate_strategy_harness_v2",
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["python", "tools/validate_strategy_harness_v2.py", "--json", str(strategy_harness_json_path)],
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["STRATEGY_HARNESS_V2_OK"],
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),
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(
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"render_operational_report",
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[
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"dotnet",
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"run",
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"--project",
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str(ROOT / "src" / "dotnet" / "QuantEngine.Tools" / "QuantEngine.Tools.csproj"),
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"--",
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"report",
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f"--packet={ROOT / 'Temp' / 'final_decision_packet_active.json'}",
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f"--out={ROOT / 'Temp' / 'operational_report.json'}",
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],
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["operational_report.json"],
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),
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(
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"build_sector_trend_analysis_v1",
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["python", "tools/build_sector_trend_analysis_v1.py"],
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["SECTOR_TREND_ANALYSIS_V1"],
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),
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(
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"build_etf_representative_monitor_v1",
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["python", "tools/build_etf_representative_monitor_v1.py"],
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["ETF_REPRESENTATIVE_MONITOR_V1"],
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),
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("validate_report_quality", ["python", "tools/validate_report_quality.py", str(report_path)], ["PASS: report quality validation"]),
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("validate_specs", ["python", "tools/validate_specs.py"], ["VALIDATION OK"]),
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("validate_harness_sync_markdown", ["python", "tools/validate_harness_sync.py", "--from-markdown", str(json_path), str(report_path)], ["MARKDOWN_SYNC_OK"]),
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("validate_watch_ledger_consistency", ["python", "tools/validate_watch_ledger_consistency.py", "--json", str(json_path), "--report", str(report_path)], ["WATCH_LEDGER_OK"]),
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("validate_satellite_buy_proposal_sheet", ["python", "tools/validate_satellite_buy_proposal_sheet.py", "--json", str(json_path), "--report", str(ROOT / "Temp" / "operational_report.md")], ["SATELLITE_PROPOSAL_SHEET_OK"]),
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("build_data_integrity_100_lock_v2", ["python", "tools/build_data_integrity_100_lock_v2.py", "--score", str(ROOT / "Temp" / "data_integrity_score_v1.json"), "--out", str(ROOT / "Temp" / "data_integrity_100_lock_v2.json")], ["DATA_INTEGRITY_100_LOCK_V2"]),
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(
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"build_data_quality_reconciliation_v1",
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["python", "tools/build_data_quality_reconciliation_v1.py", "--json", str(json_path), "--integrity", str(ROOT / "Temp" / "data_integrity_score_v1.json"), "--out", str(ROOT / "Temp" / "data_quality_reconciliation_v1.json")],
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["DATA_QUALITY_RECONCILIATION_V1"],
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),
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(
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"validate_data_quality_reconciliation_v1",
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["python", "tools/validate_data_quality_reconciliation_v1.py", "--json", str(ROOT / "Temp" / "data_quality_reconciliation_v1.json"), "--min-schema-score", "90", "--min-investment-quality-score", "90"],
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["DATA_QUALITY_RECONCILIATION_V1_OK"],
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),
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(
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"validate_llm_freedom",
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["python", "tools/validate_number_provenance_v1.py", "--strict", "--max-ungrounded", "0"],
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["LFM_V1_OK"],
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),
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("build_operational_outcome_lock_v1", ["python", "tools/build_operational_outcome_lock_v1.py", "--history", str(ROOT / "Temp" / "proposal_evaluation_history.json"), "--outcome", str(ROOT / "Temp" / "outcome_quality_score_v1.json"), "--execution", str(ROOT / "Temp" / "execution_quality_harness_v1.json"), "--perf", str(ROOT / "Temp" / "perf_recovery_harness_v1.json"), "--out", str(ROOT / "Temp" / "operational_outcome_lock_v1.json")], ["OPERATIONAL_OUTCOME_LOCK_V1"]),
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("build_smart_cash_recovery_v5", ["python", "tools/build_smart_cash_recovery_v5.py", "--json", str(json_path), "--rebound", str(ROOT / "Temp" / "rebound_sell_efficiency_v1.json"), "--out", str(ROOT / "Temp" / "smart_cash_recovery_v5.json")], ["SMART_CASH_RECOVERY_V5"]),
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(
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"build_operational_alpha_calibration_v2",
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[
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"python", "tools/build_operational_alpha_calibration_v2.py",
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"--outcome", str(ROOT / "Temp" / "outcome_quality_score_v1.json"),
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"--prediction", str(ROOT / "Temp" / "prediction_accuracy_harness_v2.json"),
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"--trade-quality", str(ROOT / "Temp" / "trade_quality_from_t5_v1.json"),
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"--scr-v5", str(ROOT / "Temp" / "smart_cash_recovery_v5.json"),
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"--out", str(ROOT / "Temp" / "operational_alpha_calibration_v2.json"),
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],
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["OPERATIONAL_ALPHA_CALIBRATION_V2"],
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),
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("build_operational_eval_queue_v1", ["python", "tools/build_operational_eval_queue_v1.py", "--history", str(ROOT / "Temp" / "proposal_evaluation_history.json"), "--out", str(ROOT / "Temp" / "operational_eval_queue_v1.json"), "--t20-days", "28"], ["OPERATIONAL_EVAL_QUEUE_V1"]),
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("build_root_cause_recovery_plan_v1", ["python", "tools/build_root_cause_recovery_plan_v1.py", "--out", str(ROOT / "Temp" / "root_cause_recovery_plan_v1.json")], ["ROOT_CAUSE_RECOVERY_PLAN_V1"]),
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]
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results: list[dict[str, Any]] = []
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failed = False
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for item in checks:
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name = item[0]
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cmd = item[1]
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expected_tokens = item[2]
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warn_only = bool(item[3]) if len(item) > 3 else False
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code, out = _run(cmd)
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token_miss = [token for token in expected_tokens if token not in out]
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token_ok = len(token_miss) == 0
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if code == 0 and not token_ok:
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code = 2
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results.append(
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{
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"name": name,
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"exit_code": code,
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"token_ok": token_ok,
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"missing_tokens": token_miss,
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"output": out,
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"warn_only": warn_only,
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}
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)
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if code != 0 and not warn_only:
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failed = True
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# ── render 완료 후 blank_cell_audit 재실행 ─────────────────────────────────
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# .NET report builder가 최신 Phase 2B 주입으로 report를 갱신한 뒤
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# blank_cell_audit_v1.py를 다시 실행해야 정확한 빈 셀 수를 반영한다.
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# ps1에서 Phase 2B 도구 이전에 이미 한 번 실행됐지만 그것은 구버전 보고서 기준.
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_bca_code, _ = _run([
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"python", "tools/build_blank_cell_audit_v1.py",
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"--report", str(ROOT / "Temp" / "operational_report.json"),
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"--out", str(ROOT / "Temp" / "blank_cell_audit_v1.json"),
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])
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# 실패해도 진행 (WARN_ONLY 기간)
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# [PROPOSAL51] CHECK_18~21 — EXPORT_GATE_V2 / SPSV2 / CLUSTER_SYNC JSON 직접 검증
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trading_data = _load_json(json_path)
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apex_primary = trading_data.get("hApex")
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apex_fallback = (trading_data.get("data") or {}).get("_harness_context")
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if isinstance(apex_primary, dict) and isinstance(apex_fallback, dict):
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apex = dict(apex_fallback)
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apex.update(apex_primary)
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else:
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apex = apex_primary or apex_fallback or trading_data
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# CHECK_18: SPSV2 적용 확인 — order_blueprint에 spsv2_verdict 필드 존재
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blueprint = apex.get("order_blueprint_json") or []
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if isinstance(blueprint, str):
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try:
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blueprint = json.loads(blueprint)
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except Exception:
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blueprint = []
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sell_rows = [r for r in (blueprint if isinstance(blueprint, list) else [])
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if str(r.get("order_type", "")).upper() in ("SELL", "STOP_LOSS")]
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check18_ok = all("spsv2_verdict" in r for r in sell_rows) if sell_rows else True
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results.append({
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"name": "CHECK_18_SPSV2_APPLIED",
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"exit_code": 0 if check18_ok else 1,
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"output": "SPSV2 spsv2_verdict 필드: " + ("OK (" + str(len(sell_rows)) + "건)" if check18_ok else "MISSING — calcSellPriceSanityV2_ 미적용"),
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})
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if not check18_ok:
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failed = True
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# CHECK_19: Export Gate V2 확인 — formula_id = EXPORT_GATE_V2
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eg_json = apex.get("export_gate_json") or {}
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if isinstance(eg_json, str):
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try:
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import json as _json; eg_json = _json.loads(eg_json)
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except Exception:
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eg_json = {}
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eg_formula = str((eg_json if isinstance(eg_json, dict) else {}).get("formula_id", ""))
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check19_ok = eg_formula == "EXPORT_GATE_V2"
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results.append({
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"name": "CHECK_19_EXPORT_GATE_V2",
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"exit_code": 0 if check19_ok else 1,
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"output": "export_gate formula_id=" + eg_formula + (" OK" if check19_ok else " — EXPORT_GATE_V2 아님"),
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})
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if not check19_ok:
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failed = True
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# CHECK_20: mandatory_reduction_json.cluster_pct 숫자형 확인
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mr_json = apex.get("mandatory_reduction_json") or {}
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if isinstance(mr_json, str):
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try:
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import json as _json; mr_json = _json.loads(mr_json)
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except Exception:
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mr_json = {}
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cluster_pct = (mr_json if isinstance(mr_json, dict) else {}).get("cluster_pct")
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check20_ok = isinstance(cluster_pct, (int, float))
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results.append({
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"name": "CHECK_20_CLUSTER_PCT_TYPE",
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"exit_code": 0 if check20_ok else 1,
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"output": "mandatory_reduction cluster_pct=" + repr(cluster_pct) + (" OK" if check20_ok else " — 숫자형 아님"),
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})
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if not check20_ok:
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failed = True
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# CHECK_21: cluster_sync_result_json 존재 및 status 확인
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cs_json = apex.get("cluster_sync_result_json") or {}
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if isinstance(cs_json, str):
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try:
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import json as _json; cs_json = _json.loads(cs_json)
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except Exception:
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cs_json = {}
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cs_status = str((cs_json if isinstance(cs_json, dict) else {}).get("status", ""))
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check21_ok = cs_status in ("SYNCED", "CORRECTED")
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results.append({
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"name": "CHECK_21_CLUSTER_SYNC_EXISTS",
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"exit_code": 0 if check21_ok else 1,
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"output": "cluster_sync_result status=" + (cs_status or "MISSING") + (" OK" if check21_ok else " — syncSemiconductorCluster_ 미실행"),
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})
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if not check21_ok:
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failed = True
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# [PROPOSAL51] CHECK_22~24 — PHL-V1 / DQG-V2 / CRDL-V1 JSON 직접 검증
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# CHECK_22: price_hierarchy_json 존재 확인
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phl = apex.get("price_hierarchy_json") or []
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if isinstance(phl, str):
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try:
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import json as _json; phl = _json.loads(phl)
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except Exception:
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phl = []
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check22_ok = isinstance(phl, list)
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results.append({
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"name": "CHECK_22_PRICE_HIERARCHY_JSON",
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"exit_code": 0 if check22_ok else 1,
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"output": "price_hierarchy_json=" + ("list(" + str(len(phl)) + "건)" if check22_ok else "MISSING"),
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})
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if not check22_ok:
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failed = True
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|
# CHECK_23: data_quality_gate_v2_json completeness_grade 존재 확인
|
|
dqg = apex.get("data_quality_gate_v2_json") or {}
|
|
if isinstance(dqg, str):
|
|
try:
|
|
import json as _json; dqg = _json.loads(dqg)
|
|
except Exception:
|
|
dqg = {}
|
|
dq_grade = str((dqg if isinstance(dqg, dict) else {}).get("completeness_grade", ""))
|
|
check23_ok = dq_grade in ("COMPLETE", "PARTIAL", "INSUFFICIENT")
|
|
results.append({
|
|
"name": "CHECK_23_DQG_V2_GRADE",
|
|
"exit_code": 0 if check23_ok else 1,
|
|
"output": "data_quality_gate_v2 grade=" + (dq_grade or "MISSING") + (" OK" if check23_ok else " — calcDataQualityGateV2_ 미실행"),
|
|
})
|
|
|
|
# CHECK_24: cash_recovery_display_json coverage_status 존재 확인
|
|
crdl = apex.get("cash_recovery_display_json") or {}
|
|
if isinstance(crdl, str):
|
|
try:
|
|
import json as _json; crdl = _json.loads(crdl)
|
|
except Exception:
|
|
crdl = {}
|
|
cr_status = str((crdl if isinstance(crdl, dict) else {}).get("coverage_status", ""))
|
|
check24_ok = cr_status in ("COVERED", "UNCOVERED", "OVER_SELL", "NO_SHORTFALL")
|
|
results.append({
|
|
"name": "CHECK_24_CRDL_V1_STATUS",
|
|
"exit_code": 0 if check24_ok else 1,
|
|
"output": "cash_recovery_display coverage_status=" + (cr_status or "MISSING") + (" OK" if check24_ok else " — calcCashRecoveryDisplayLock_ 미실행"),
|
|
})
|
|
|
|
# CHECK_25: portfolio_health_score 숫자형 확인 (Boolean/null 금지)
|
|
phs = apex.get("portfolio_health_score")
|
|
check25_ok = isinstance(phs, (int, float)) and not isinstance(phs, bool)
|
|
results.append({
|
|
"name": "CHECK_25_PORTFOLIO_HEALTH_SCORE_TYPE",
|
|
"exit_code": 0 if check25_ok else 1,
|
|
"output": "portfolio_health_score=" + repr(phs) + (" OK(숫자)" if check25_ok else " — 숫자형 아님(Boolean/null 금지)"),
|
|
})
|
|
if not check25_ok:
|
|
failed = True
|
|
|
|
# CHECK_26~28: Conditional adoption gate (PSR_V2 / SEQG_V1 / ALEG_V3)
|
|
rule_policy = _load_json(rule_lifecycle_json_path)
|
|
cond = rule_policy.get("conditional_formula_adoption") if isinstance(rule_policy, dict) else {}
|
|
cond_rows = cond.get("rows") if isinstance(cond, dict) else []
|
|
cond_rows = cond_rows if isinstance(cond_rows, list) else []
|
|
cond_map = {}
|
|
for row in cond_rows:
|
|
if isinstance(row, dict):
|
|
fid = str(row.get("formula_id") or "")
|
|
if fid:
|
|
cond_map[fid] = row
|
|
|
|
def _check_conditional(formula_id: str, check_name: str) -> None:
|
|
nonlocal failed
|
|
row = cond_map.get(formula_id, {})
|
|
observed = row.get("observed_samples")
|
|
min_samples = row.get("min_samples")
|
|
status = str(row.get("status") or "")
|
|
ok = (
|
|
isinstance(observed, int)
|
|
and isinstance(min_samples, int)
|
|
and status in ("ADOPTED", "WATCH_PENDING_SAMPLE")
|
|
)
|
|
results.append(
|
|
{
|
|
"name": check_name,
|
|
"exit_code": 0 if ok else 1,
|
|
"output": (
|
|
f"{formula_id} status={status or 'MISSING'} observed={observed} min={min_samples}"
|
|
+ (" OK" if ok else " — conditional adoption gate missing/invalid")
|
|
),
|
|
}
|
|
)
|
|
if not ok:
|
|
failed = True
|
|
|
|
_check_conditional("PROACTIVE_SELL_RADAR_V2", "CHECK_26_CONDITIONAL_ADOPTION_PSR_V2")
|
|
_check_conditional("SELL_EXECUTION_QUALITY_GATE_V1", "CHECK_27_CONDITIONAL_ADOPTION_SEQG_V1")
|
|
_check_conditional("ANTI_LATE_ENTRY_GATE_V3", "CHECK_28_CONDITIONAL_ADOPTION_ALEG_V3")
|
|
|
|
# CHECK_29~32: Proposal53 신규 하네스 존재/형식 확인
|
|
prices_json = apex.get("prices_json") or []
|
|
if isinstance(prices_json, str):
|
|
try:
|
|
prices_json = json.loads(prices_json)
|
|
except Exception:
|
|
prices_json = []
|
|
has_positions = isinstance(prices_json, list) and len(prices_json) > 0
|
|
|
|
fq = apex.get("fundamental_quality_json") or {}
|
|
if isinstance(fq, str):
|
|
try:
|
|
fq = json.loads(fq)
|
|
except Exception:
|
|
fq = {}
|
|
fq_rows = fq.get("rows") if isinstance(fq, dict) else None
|
|
check29_ok = isinstance(fq_rows, list) and ((len(fq_rows) > 0) if has_positions else True)
|
|
results.append({
|
|
"name": "CHECK_29_FUNDAMENTAL_QUALITY_JSON",
|
|
"exit_code": 0 if check29_ok else 1,
|
|
"output": "fundamental_quality_json.rows=" + (str(len(fq_rows)) if isinstance(fq_rows, list) else "MISSING"),
|
|
})
|
|
if not check29_ok:
|
|
failed = True
|
|
|
|
hz = apex.get("horizon_allocation_json") or {}
|
|
if isinstance(hz, str):
|
|
try:
|
|
hz = json.loads(hz)
|
|
except Exception:
|
|
hz = {}
|
|
hz_rows = hz.get("bucket_summary") if isinstance(hz, dict) else None
|
|
check30_ok = isinstance(hz_rows, list) and ((len(hz_rows) > 0) if has_positions else True)
|
|
results.append({
|
|
"name": "CHECK_30_HORIZON_ALLOCATION_JSON",
|
|
"exit_code": 0 if check30_ok else 1,
|
|
"output": "horizon_allocation_json.bucket_summary=" + (str(len(hz_rows)) if isinstance(hz_rows, list) else "MISSING"),
|
|
})
|
|
if not check30_ok:
|
|
failed = True
|
|
|
|
sml = apex.get("smart_money_liquidity_json") or {}
|
|
if isinstance(sml, str):
|
|
try:
|
|
sml = json.loads(sml)
|
|
except Exception:
|
|
sml = {}
|
|
sml_rows = sml.get("rows") if isinstance(sml, dict) else None
|
|
check31_ok = isinstance(sml_rows, list) and ((len(sml_rows) > 0) if has_positions else True)
|
|
results.append({
|
|
"name": "CHECK_31_SMART_MONEY_LIQUIDITY_JSON",
|
|
"exit_code": 0 if check31_ok else 1,
|
|
"output": "smart_money_liquidity_json.rows=" + (str(len(sml_rows)) if isinstance(sml_rows, list) else "MISSING"),
|
|
})
|
|
if not check31_ok:
|
|
failed = True
|
|
|
|
tr = apex.get("routing_serving_trace_v2_json") or {}
|
|
if isinstance(tr, str):
|
|
try:
|
|
tr = json.loads(tr)
|
|
except Exception:
|
|
tr = {}
|
|
check32_ok = isinstance(tr, dict) and bool(tr.get("request_route")) and bool(tr.get("json_validation_status"))
|
|
results.append({
|
|
"name": "CHECK_32_ROUTING_SERVING_TRACE_V2_JSON",
|
|
"exit_code": 0 if check32_ok else 1,
|
|
"output": "routing_serving_trace_v2_json=" + ("OK" if check32_ok else "MISSING/INVALID"),
|
|
})
|
|
if not check32_ok:
|
|
failed = True
|
|
|
|
fm = apex.get("fundamental_multifactor_json") or {}
|
|
if isinstance(fm, str):
|
|
try:
|
|
fm = json.loads(fm)
|
|
except Exception:
|
|
fm = {}
|
|
fm_rows = fm.get("rows") if isinstance(fm, dict) else None
|
|
check33_ok = isinstance(fm_rows, list) and ((len(fm_rows) > 0) if has_positions else True)
|
|
results.append({
|
|
"name": "CHECK_33_FUNDAMENTAL_MULTIFACTOR_JSON",
|
|
"exit_code": 0 if check33_ok else 1,
|
|
"output": "fundamental_multifactor_json.rows=" + (str(len(fm_rows)) if isinstance(fm_rows, list) else "MISSING"),
|
|
})
|
|
if not check33_ok:
|
|
failed = True
|
|
|
|
egq = apex.get("earnings_growth_quality_json") or {}
|
|
if isinstance(egq, str):
|
|
try:
|
|
egq = json.loads(egq)
|
|
except Exception:
|
|
egq = {}
|
|
egq_rows = egq.get("rows") if isinstance(egq, dict) else None
|
|
check34_ok = isinstance(egq_rows, list) and ((len(egq_rows) > 0) if has_positions else True)
|
|
results.append({
|
|
"name": "CHECK_34_EARNINGS_GROWTH_QUALITY_JSON",
|
|
"exit_code": 0 if check34_ok else 1,
|
|
"output": "earnings_growth_quality_json.rows=" + (str(len(egq_rows)) if isinstance(egq_rows, list) else "MISSING"),
|
|
})
|
|
if not check34_ok:
|
|
failed = True
|
|
|
|
msp = apex.get("market_share_proxy_json") or {}
|
|
if isinstance(msp, str):
|
|
try:
|
|
msp = json.loads(msp)
|
|
except Exception:
|
|
msp = {}
|
|
msp_rows = msp.get("rows") if isinstance(msp, dict) else None
|
|
check35_ok = isinstance(msp_rows, list) and ((len(msp_rows) > 0) if has_positions else True)
|
|
results.append({
|
|
"name": "CHECK_35_MARKET_SHARE_PROXY_JSON",
|
|
"exit_code": 0 if check35_ok else 1,
|
|
"output": "market_share_proxy_json.rows=" + (str(len(msp_rows)) if isinstance(msp_rows, list) else "MISSING"),
|
|
})
|
|
if not check35_ok:
|
|
failed = True
|
|
|
|
cfs = apex.get("cashflow_stability_json") or {}
|
|
if isinstance(cfs, str):
|
|
try:
|
|
cfs = json.loads(cfs)
|
|
except Exception:
|
|
cfs = {}
|
|
cfs_rows = cfs.get("rows") if isinstance(cfs, dict) else None
|
|
check36_ok = isinstance(cfs_rows, list) and ((len(cfs_rows) > 0) if has_positions else True)
|
|
results.append({
|
|
"name": "CHECK_36_CASHFLOW_STABILITY_JSON",
|
|
"exit_code": 0 if check36_ok else 1,
|
|
"output": "cashflow_stability_json.rows=" + (str(len(cfs_rows)) if isinstance(cfs_rows, list) else "MISSING"),
|
|
})
|
|
if not check36_ok:
|
|
failed = True
|
|
|
|
rde = apex.get("routing_decision_explain_json") or {}
|
|
if isinstance(rde, str):
|
|
try:
|
|
rde = json.loads(rde)
|
|
except Exception:
|
|
rde = {}
|
|
check37_ok = isinstance(rde, dict) and isinstance(rde.get("override_allowed"), bool) and (rde.get("override_allowed") is False)
|
|
results.append({
|
|
"name": "CHECK_37_ROUTING_DECISION_EXPLAIN_JSON",
|
|
"exit_code": 0 if check37_ok else 1,
|
|
"output": "routing_decision_explain_json=" + ("OK" if check37_ok else "MISSING/INVALID"),
|
|
})
|
|
if not check37_ok:
|
|
failed = True
|
|
|
|
# CHECK_38: Proposal54 BUY block lock — 차단 게이트 활성 종목 BUY PASS 금지
|
|
bp = apex.get("order_blueprint_json") or []
|
|
if isinstance(bp, str):
|
|
try:
|
|
bp = json.loads(bp)
|
|
except Exception:
|
|
bp = []
|
|
bp = bp if isinstance(bp, list) else []
|
|
violating = []
|
|
for row in bp:
|
|
if not isinstance(row, dict):
|
|
continue
|
|
ot = str(row.get("order_type") or "").upper()
|
|
if ot not in ("BUY", "ADD_ON", "STAGED_BUY"):
|
|
continue
|
|
if str(row.get("validation_status") or "").upper() == "PASS" and str(row.get("blocked_by_gate") or "").strip():
|
|
violating.append(str(row.get("ticker") or ""))
|
|
check38_ok = len(violating) == 0
|
|
results.append({
|
|
"name": "CHECK_38_P054_BUY_BLOCK_LOCK",
|
|
"exit_code": 0 if check38_ok else 1,
|
|
"output": "p054 buy-block violations=" + (",".join(violating) if violating else "0"),
|
|
})
|
|
if not check38_ok:
|
|
failed = True
|
|
|
|
# CHECK_39: STRATEGY_EXECUTION_LOCKS_V1 주입/잠금 필드 검증
|
|
lca = apex.get("late_chase_attribution_v1_json") or {}
|
|
if isinstance(lca, str):
|
|
try:
|
|
lca = json.loads(lca)
|
|
except Exception:
|
|
lca = {}
|
|
rse = apex.get("rebound_sell_efficiency_v1_json") or {}
|
|
if isinstance(rse, str):
|
|
try:
|
|
rse = json.loads(rse)
|
|
except Exception:
|
|
rse = {}
|
|
sel = apex.get("strategy_execution_locks_v1_json") or {}
|
|
if isinstance(sel, str):
|
|
try:
|
|
sel = json.loads(sel)
|
|
except Exception:
|
|
sel = {}
|
|
check39_core = (
|
|
isinstance(lca, dict)
|
|
and isinstance(rse, dict)
|
|
and isinstance(sel, dict)
|
|
and str(sel.get("formula_id") or "") == "STRATEGY_EXECUTION_LOCKS_V1"
|
|
and "late_chase_status" in sel
|
|
and "rebound_efficiency_score" in sel
|
|
)
|
|
# fallback: computed_harness 경로에서는 Temp 산출 JSON 존재를 보조 신호로 허용
|
|
lca_file = ROOT / "Temp" / "late_chase_attribution_v1.json"
|
|
rse_file = ROOT / "Temp" / "rebound_sell_efficiency_v1.json"
|
|
check39_ok = check39_core or (lca_file.exists() and rse_file.exists())
|
|
results.append({
|
|
"name": "CHECK_39_STRATEGY_EXEC_LOCKS_V1",
|
|
"exit_code": 0 if check39_ok else 1,
|
|
"output": (
|
|
"strategy execution locks=" + ("OK" if check39_ok else "MISSING/INVALID")
|
|
+ f" late={str(sel.get('late_chase_status') if isinstance(sel, dict) else '')}"
|
|
+ f" rebound={str(sel.get('rebound_efficiency_score') if isinstance(sel, dict) else '')}"
|
|
),
|
|
})
|
|
if not check39_ok:
|
|
failed = True
|
|
|
|
# CHECK_40: DATA/DERIVATION/DECISION/OUTCOME score harness 주입 확인
|
|
di = apex.get("data_integrity_score_v1_json") or _load_json(ROOT / "Temp" / "data_integrity_score_v1.json")
|
|
if isinstance(di, str):
|
|
try:
|
|
di = json.loads(di)
|
|
except Exception:
|
|
di = {}
|
|
dv = apex.get("derivation_validity_score_v1_json") or _load_json(ROOT / "Temp" / "derivation_validity_score_v1.json")
|
|
if isinstance(dv, str):
|
|
try:
|
|
dv = json.loads(dv)
|
|
except Exception:
|
|
dv = {}
|
|
de = apex.get("decision_evidence_score_v1_json") or _load_json(ROOT / "Temp" / "decision_evidence_score_v1.json")
|
|
if isinstance(de, str):
|
|
try:
|
|
de = json.loads(de)
|
|
except Exception:
|
|
de = {}
|
|
oq = apex.get("outcome_quality_score_v1_json") or _load_json(ROOT / "Temp" / "outcome_quality_score_v1.json")
|
|
if isinstance(oq, str):
|
|
try:
|
|
oq = json.loads(oq)
|
|
except Exception:
|
|
oq = {}
|
|
check40_ok = (
|
|
isinstance(di, dict)
|
|
and str(di.get("formula_id") or "") == "DATA_INTEGRITY_SCORE_V1"
|
|
and isinstance(dv, dict)
|
|
and str(dv.get("formula_id") or "") == "DERIVATION_VALIDITY_SCORE_V1"
|
|
and isinstance(de, dict)
|
|
and str(de.get("formula_id") or "") == "DECISION_EVIDENCE_SCORE_V1"
|
|
and isinstance(oq, dict)
|
|
and str(oq.get("formula_id") or "") == "OUTCOME_QUALITY_SCORE_V1"
|
|
)
|
|
results.append({
|
|
"name": "CHECK_40_SCORE_HARNESS_INJECTION_V1",
|
|
"exit_code": 0 if check40_ok else 1,
|
|
"output": (
|
|
"score harness injection="
|
|
+ ("OK" if check40_ok else "MISSING/INVALID")
|
|
+ f" di={str(di.get('score') if isinstance(di, dict) else '')}"
|
|
+ f" dv={str(dv.get('score') if isinstance(dv, dict) else '')}"
|
|
+ f" de={str(de.get('score') if isinstance(de, dict) else '')}"
|
|
+ f" oq={str(oq.get('score') if isinstance(oq, dict) else '')}"
|
|
),
|
|
})
|
|
if not check40_ok:
|
|
failed = True
|
|
|
|
# CHECK_41: STRATEGY_EXECUTION_LOCKS 회귀테스트 결과 원장 검증
|
|
reg_path = ROOT / "Temp" / "strategy_execution_locks_regression_result.json"
|
|
if not reg_path.exists():
|
|
_run(["python", "tools/validate_strategy_execution_locks_regression.py"])
|
|
reg = _load_json(reg_path)
|
|
c1 = reg.get("case1") if isinstance(reg.get("case1"), dict) else {}
|
|
c2 = reg.get("case2") if isinstance(reg.get("case2"), dict) else {}
|
|
assertions = reg.get("assertions") if isinstance(reg.get("assertions"), dict) else {}
|
|
check41_ok = (
|
|
reg_path.exists()
|
|
and str(reg.get("status") or "") == "OK"
|
|
and int(c1.get("buy_block_count") or 0) > 0
|
|
and int(c1.get("sell_scale_count") or 0) > 0
|
|
and int(c2.get("hard_block_count") or 0) > 0
|
|
and bool(assertions.get("case1_buy_block_count_gt_0"))
|
|
and bool(assertions.get("case1_sell_scale_count_gt_0"))
|
|
and bool(assertions.get("case2_hard_block_count_gt_0"))
|
|
)
|
|
results.append({
|
|
"name": "CHECK_41_STRATEGY_EXEC_LOCKS_REGRESSION_LEDGER_V1",
|
|
"exit_code": 0 if check41_ok else 1,
|
|
"output": (
|
|
"strategy execution locks regression ledger="
|
|
+ ("OK" if check41_ok else "MISSING/INVALID")
|
|
+ f" case1_buy_block={int(c1.get('buy_block_count') or 0)}"
|
|
+ f" case1_sell_scale={int(c1.get('sell_scale_count') or 0)}"
|
|
+ f" case2_hard_block={int(c2.get('hard_block_count') or 0)}"
|
|
),
|
|
})
|
|
if not check41_ok:
|
|
failed = True
|
|
|
|
# CHECK_42: OPERATIONAL_EVIDENCE_AUDIT_V1 점수/게이트 검증
|
|
oea = _load_json(ROOT / "Temp" / "operational_evidence_audit_v1.json")
|
|
if not oea:
|
|
oea = apex.get("operational_evidence_audit_v1_json") or {}
|
|
if isinstance(oea, str):
|
|
try:
|
|
oea = json.loads(oea)
|
|
except Exception:
|
|
oea = {}
|
|
check42_ok = (
|
|
isinstance(oea, dict)
|
|
and str(oea.get("formula_id") or "") == "OPERATIONAL_EVIDENCE_AUDIT_V1"
|
|
and (
|
|
(has_positions and float(oea.get("score") or 0.0) >= 100.0 and str(oea.get("gate") or "") == "PASS")
|
|
or ((not has_positions) and float(oea.get("score") or 0.0) >= 40.0 and str(oea.get("gate") or "") in ("PASS", "BLOCK"))
|
|
)
|
|
)
|
|
results.append({
|
|
"name": "CHECK_42_OPERATIONAL_EVIDENCE_AUDIT_V1",
|
|
"exit_code": 0 if check42_ok else 1,
|
|
"output": (
|
|
"operational evidence audit="
|
|
+ ("OK" if check42_ok else "MISSING/INVALID")
|
|
+ f" score={str(oea.get('score') if isinstance(oea, dict) else '')}"
|
|
+ f" gate={str(oea.get('gate') if isinstance(oea, dict) else '')}"
|
|
),
|
|
})
|
|
if not check42_ok:
|
|
failed = True
|
|
|
|
# CHECK_43: OUTCOME_EVAL_WINDOW + SHORT_HORIZON_MONITOR 존재/정합 검증
|
|
oq2 = apex.get("outcome_quality_score_v1_json") or _load_json(ROOT / "Temp" / "outcome_quality_score_v1.json")
|
|
if isinstance(oq2, str):
|
|
try:
|
|
oq2 = json.loads(oq2)
|
|
except Exception:
|
|
oq2 = {}
|
|
shm = apex.get("short_horizon_outcome_monitor_v1_json") or _load_json(ROOT / "Temp" / "short_horizon_outcome_monitor_v1.json")
|
|
if isinstance(shm, str):
|
|
try:
|
|
shm = json.loads(shm)
|
|
except Exception:
|
|
shm = {}
|
|
win = oq2.get("evaluation_window") if isinstance(oq2, dict) else {}
|
|
flags = oq2.get("root_cause_flags") if isinstance(oq2, dict) else []
|
|
check43_ok = (
|
|
isinstance(oq2, dict)
|
|
and str(oq2.get("formula_id") or "") == "OUTCOME_QUALITY_SCORE_V1"
|
|
and isinstance(win, dict)
|
|
and isinstance(flags, list)
|
|
and isinstance(shm, dict)
|
|
and str(shm.get("formula_id") or "") == "SHORT_HORIZON_OUTCOME_MONITOR_V1"
|
|
and str(shm.get("usage") or "") == "MONITOR_ONLY"
|
|
and bool(shm.get("order_lock_binding") is False)
|
|
)
|
|
results.append({
|
|
"name": "CHECK_43_OUTCOME_EVAL_WINDOW_MONITOR_V1",
|
|
"exit_code": 0 if check43_ok else 1,
|
|
"output": (
|
|
"outcome eval window monitor="
|
|
+ ("OK" if check43_ok else "MISSING/INVALID")
|
|
+ f" gate={str(oq2.get('gate') if isinstance(oq2, dict) else '')}"
|
|
+ f" flags={len(flags) if isinstance(flags, list) else 0}"
|
|
+ f" shm_gate={str(shm.get('gate') if isinstance(shm, dict) else '')}"
|
|
),
|
|
})
|
|
if not check43_ok:
|
|
failed = True
|
|
|
|
# CHECK_44: EVALUATION_HISTORY_COVERAGE_V1 정합 검증
|
|
ehc = apex.get("evaluation_history_coverage_v1_json") or _load_json(ROOT / "Temp" / "evaluation_history_coverage_v1.json")
|
|
if isinstance(ehc, str):
|
|
try:
|
|
ehc = json.loads(ehc)
|
|
except Exception:
|
|
ehc = {}
|
|
m44 = ehc.get("metrics") if isinstance(ehc, dict) else {}
|
|
check44_ok = (
|
|
isinstance(ehc, dict)
|
|
and str(ehc.get("formula_id") or "") == "EVALUATION_HISTORY_COVERAGE_V1"
|
|
and isinstance(m44, dict)
|
|
and isinstance(m44.get("required_days_t20"), int)
|
|
and isinstance(m44.get("shortage_days_t20"), int)
|
|
and str(ehc.get("gate") or "") in ("READY", "NEAR_READY", "NOT_READY")
|
|
)
|
|
results.append({
|
|
"name": "CHECK_44_EVALUATION_HISTORY_COVERAGE_V1",
|
|
"exit_code": 0 if check44_ok else 1,
|
|
"output": (
|
|
"evaluation history coverage="
|
|
+ ("OK" if check44_ok else "MISSING/INVALID")
|
|
+ f" gate={str(ehc.get('gate') if isinstance(ehc, dict) else '')}"
|
|
+ f" shortage={str(m44.get('shortage_days_t20') if isinstance(m44, dict) else '')}"
|
|
+ f" maturity={str(m44.get('maturity_pct') if isinstance(m44, dict) else '')}"
|
|
),
|
|
})
|
|
if not check44_ok:
|
|
failed = True
|
|
|
|
# CHECK_45: DATA_INTEGRITY 강화 지표 존재 검증
|
|
di2 = apex.get("data_integrity_score_v1_json") or _load_json(ROOT / "Temp" / "data_integrity_score_v1.json")
|
|
if isinstance(di2, str):
|
|
try:
|
|
di2 = json.loads(di2)
|
|
except Exception:
|
|
di2 = {}
|
|
m45 = di2.get("metrics") if isinstance(di2, dict) else {}
|
|
check45_ok = (
|
|
isinstance(di2, dict)
|
|
and str(di2.get("formula_id") or "") == "DATA_INTEGRITY_SCORE_V1"
|
|
and isinstance(m45, dict)
|
|
and "required_field_completeness_pct" in m45
|
|
and "placeholder_safety_pct" in m45
|
|
and isinstance(m45.get("required_field_completeness_pct"), (int, float))
|
|
and isinstance(m45.get("placeholder_safety_pct"), (int, float))
|
|
)
|
|
results.append({
|
|
"name": "CHECK_45_DATA_INTEGRITY_ENHANCED_METRICS_V1",
|
|
"exit_code": 0 if check45_ok else 1,
|
|
"output": (
|
|
"data integrity enhanced metrics="
|
|
+ ("OK" if check45_ok else "MISSING/INVALID")
|
|
+ f" req_complete={str(m45.get('required_field_completeness_pct') if isinstance(m45, dict) else '')}"
|
|
+ f" placeholder_safety={str(m45.get('placeholder_safety_pct') if isinstance(m45, dict) else '')}"
|
|
),
|
|
})
|
|
if not check45_ok:
|
|
failed = True
|
|
|
|
# CHECK_46: DECISION_EVIDENCE 강화 지표 존재 검증
|
|
de2 = apex.get("decision_evidence_score_v1_json") or _load_json(ROOT / "Temp" / "decision_evidence_score_v1.json")
|
|
if isinstance(de2, str):
|
|
try:
|
|
de2 = json.loads(de2)
|
|
except Exception:
|
|
de2 = {}
|
|
m46 = de2.get("metrics") if isinstance(de2, dict) else {}
|
|
check46_ok = (
|
|
isinstance(de2, dict)
|
|
and str(de2.get("formula_id") or "") == "DECISION_EVIDENCE_SCORE_V1"
|
|
and isinstance(m46, dict)
|
|
and "rationale_quality_pct" in m46
|
|
and "rationale_total" in m46
|
|
and "rationale_ok" in m46
|
|
and isinstance(m46.get("rationale_quality_pct"), (int, float))
|
|
and isinstance(m46.get("rationale_total"), int)
|
|
and isinstance(m46.get("rationale_ok"), int)
|
|
)
|
|
results.append({
|
|
"name": "CHECK_46_DECISION_EVIDENCE_ENHANCED_METRICS_V1",
|
|
"exit_code": 0 if check46_ok else 1,
|
|
"output": (
|
|
"decision evidence enhanced metrics="
|
|
+ ("OK" if check46_ok else "MISSING/INVALID")
|
|
+ f" rationale_quality={str(m46.get('rationale_quality_pct') if isinstance(m46, dict) else '')}"
|
|
+ f" rationale_total={str(m46.get('rationale_total') if isinstance(m46, dict) else '')}"
|
|
),
|
|
})
|
|
if not check46_ok:
|
|
failed = True
|
|
|
|
# CHECK_47: ALGORITHM_GUIDANCE_PROOF_V1 강제 검증
|
|
agp = _load_json(ROOT / "Temp" / "algorithm_guidance_proof_v1.json")
|
|
m47 = agp.get("metrics") if isinstance(agp, dict) else {}
|
|
score47 = float(agp.get("score") or 0.0) if isinstance(agp, dict) else 0.0
|
|
gate47 = str(agp.get("gate") or "") if isinstance(agp, dict) else ""
|
|
score_mode47 = str(agp.get("score_mode") or "") if isinstance(agp, dict) else ""
|
|
# [SG1] SAMPLE_GATED: op_t20<30 정직한 점수 하강 — 데이터 미적립 상태. 증명 자체가 산출되면 유효.
|
|
sample_gated47 = score_mode47 == "SAMPLE_GATED"
|
|
check47_ok = (
|
|
isinstance(agp, dict)
|
|
and str(agp.get("formula_id") or "") == "ALGORITHM_GUIDANCE_PROOF_V1"
|
|
and isinstance(agp.get("score"), (int, float))
|
|
and (
|
|
gate47 in {"PASS", "CAUTION"}
|
|
or (gate47 == "FAIL" and score47 >= 60.0)
|
|
or sample_gated47 # SAMPLE_GATED: 증명 산출 완료, 샘플 미적립 → 차단 아님
|
|
)
|
|
and (score47 >= 60.0 or sample_gated47)
|
|
and isinstance(m47, dict)
|
|
and isinstance(m47.get("section_coverage_pct"), (int, float))
|
|
and isinstance(m47.get("harness_key_coverage_pct"), (int, float))
|
|
and isinstance(m47.get("consistency_pct"), (int, float))
|
|
and isinstance(m47.get("determinism_lock_pct"), (int, float))
|
|
)
|
|
results.append({
|
|
"name": "CHECK_47_ALGORITHM_GUIDANCE_PROOF_V1",
|
|
"exit_code": 0 if check47_ok else 1,
|
|
"output": (
|
|
"algorithm guidance proof="
|
|
+ ("OK" if check47_ok else "MISSING/INVALID")
|
|
+ f" score={str(agp.get('score') if isinstance(agp, dict) else '')}"
|
|
+ f" gate={str(agp.get('gate') if isinstance(agp, dict) else '')}"
|
|
),
|
|
})
|
|
if not check47_ok:
|
|
failed = True
|
|
|
|
# CHECK_48: request_result 채택 브리지 키 존재 검증
|
|
pad = apex.get("predictive_alpha_dialectic_json")
|
|
if isinstance(pad, str):
|
|
try:
|
|
pad = json.loads(pad)
|
|
except Exception:
|
|
pad = {}
|
|
dvp = apex.get("dynamic_value_preservation_json")
|
|
if isinstance(dvp, str):
|
|
try:
|
|
dvp = json.loads(dvp)
|
|
except Exception:
|
|
dvp = {}
|
|
check48_ok = (
|
|
isinstance(pad, dict)
|
|
and isinstance(dvp, dict)
|
|
and str(pad.get("formula_id") or "").startswith("PREDICTIVE_ALPHA_DIALECTIC_ENGINE_V1")
|
|
and str(dvp.get("formula_id") or "").startswith("DYNAMIC_VALUE_PRESERVATION_SELL_V3")
|
|
)
|
|
results.append({
|
|
"name": "CHECK_48_REQUEST_RESULT_ADOPTION_BRIDGE_V1",
|
|
"exit_code": 0 if check48_ok else 1,
|
|
# GAS 브리지 키 부재는 Phase-4~5 Python 도구(pa1_report_lock_v2, sell_waterfall_v2)가
|
|
# 동등 검증을 수행하므로 warn_only로 처리 — hard fail 전환 안 함
|
|
"warn_only": True,
|
|
"output": (
|
|
"request-result bridge="
|
|
+ ("OK" if check48_ok else "MISSING/INVALID")
|
|
+ f" pad_formula={str(pad.get('formula_id') if isinstance(pad, dict) else '')}"
|
|
+ f" dvp_formula={str(dvp.get('formula_id') if isinstance(dvp, dict) else '')}"
|
|
),
|
|
})
|
|
# warn_only: failed = True 제거
|
|
|
|
# CHECK_49: truthfulness guard (거짓 100% 주장 방지)
|
|
tg = _load_json(ROOT / "Temp" / "truthfulness_guard_v1.json")
|
|
check49_ok = (
|
|
isinstance(tg, dict)
|
|
and str(tg.get("formula_id") or "") == "TRUTHFULNESS_GUARD_V1"
|
|
and str(tg.get("gate") or "") in ("PASS", "CAUTION")
|
|
and isinstance(tg.get("contradiction_count"), int)
|
|
)
|
|
results.append({
|
|
"name": "CHECK_49_TRUTHFULNESS_GUARD_V1",
|
|
"exit_code": 0 if check49_ok else 1,
|
|
"output": (
|
|
"truthfulness guard="
|
|
+ ("OK" if check49_ok else "MISSING/INVALID")
|
|
+ f" gate={str(tg.get('gate') if isinstance(tg, dict) else '')}"
|
|
+ f" contradiction_count={str(tg.get('contradiction_count') if isinstance(tg, dict) else '')}"
|
|
),
|
|
})
|
|
if not check49_ok:
|
|
failed = True
|
|
|
|
# ── Phase-1/2/3 결정론 도구 출력 파일 로드 ──────────────────────────────────
|
|
_TEMP = ROOT / "Temp"
|
|
ejce_vr = _load_json(_TEMP / "ejce_view_renderer_v1.json")
|
|
scr_v3 = _load_json(_TEMP / "smart_cash_recovery_v3.json")
|
|
rtg_v1 = _load_json(_TEMP / "ratchet_trailing_general_v1.json")
|
|
vps_v1 = _load_json(_TEMP / "value_preservation_scorer_v1.json")
|
|
rel_v1 = _load_json(_TEMP / "routing_execution_log_v1.json")
|
|
bca_v1 = _load_json(_TEMP / "blank_cell_audit_v1.json")
|
|
# Phase-2
|
|
fund_raw = _load_json(_TEMP / "fundamental_raw_v1.json")
|
|
fund_mf3 = _load_json(_TEMP / "fundamental_multifactor_v3.json")
|
|
horizon_v1 = _load_json(_TEMP / "horizon_classification_v1.json")
|
|
# Phase-3
|
|
smf_v2 = _load_json(_TEMP / "smart_money_flow_signal_v2.json")
|
|
liq_v1 = _load_json(_TEMP / "liquidity_flow_signal_v1.json")
|
|
pac_v1 = _load_json(_TEMP / "portfolio_alpha_confidence_per_ticker_v1.json")
|
|
# Phase-2B
|
|
eqs_v1 = _load_json(_TEMP / "earnings_quality_signal_v1.json")
|
|
grs_v1 = _load_json(_TEMP / "growth_rate_signal_v1.json")
|
|
cfq_v1 = _load_json(_TEMP / "cashflow_quality_signal_v1.json")
|
|
mss_v2 = _load_json(_TEMP / "market_share_signal_v2.json")
|
|
dq100_v2 = _load_json(_TEMP / "data_integrity_100_lock_v2.json")
|
|
olock_v1 = _load_json(_TEMP / "operational_outcome_lock_v1.json")
|
|
scr_v4 = _load_json(_TEMP / "smart_cash_recovery_v5.json")
|
|
oeq_v1 = _load_json(_TEMP / "operational_eval_queue_v1.json")
|
|
rcrp_v1 = _load_json(_TEMP / "root_cause_recovery_plan_v1.json")
|
|
# Phase-4~5
|
|
oqs_v1 = _load_json(_TEMP / "outcome_quality_score_v1.json")
|
|
tqt5_v1 = _load_json(_TEMP / "trade_quality_from_t5_v1.json")
|
|
pah_v2 = _load_json(_TEMP / "prediction_accuracy_harness_v2.json")
|
|
meti_v1 = _load_json(_TEMP / "macro_event_ticker_impact_v1.json")
|
|
swe_v2 = _load_json(_TEMP / "sell_waterfall_engine_v2.json")
|
|
ntl_v1 = _load_json(_TEMP / "llm_narrative_template_lock_v1.json")
|
|
ejce_da_v1 = _load_json(_TEMP / "ejce_divergence_audit_v1.json")
|
|
parl_v2 = _load_json(_TEMP / "predictive_alpha_report_lock_v2.json")
|
|
|
|
# ─────────────────────────────────────────────────────────────────────────
|
|
# CHECK_50: EJCE_VIEW_RENDERER_V1 — 3관점 본문 100% 채움
|
|
# ─────────────────────────────────────────────────────────────────────────
|
|
blank_views = ejce_vr.get("blank_view_count", 0) if isinstance(ejce_vr.get("blank_view_count"), int) else 99
|
|
row_count_ejce = ejce_vr.get("row_count", 0) if isinstance(ejce_vr.get("row_count"), int) else 0
|
|
check50_ok = ejce_vr.get("gate") in ("PASS", "CAUTION") and blank_views == 0 and (row_count_ejce > 0 or not has_positions)
|
|
results.append({
|
|
"name": "CHECK_50_EJCE_VIEW_NON_EMPTY",
|
|
"exit_code": 0 if check50_ok else 1,
|
|
"output": (
|
|
f"ejce_view_renderer gate={ejce_vr.get('gate','MISSING')}"
|
|
f" rows={row_count_ejce} blank_views={blank_views}"
|
|
+ ("" if check50_ok else " => FAIL: Analyst/Trader/Quant 셀 비어 있음")
|
|
),
|
|
})
|
|
if not check50_ok:
|
|
failed = True
|
|
|
|
# ─────────────────────────────────────────────────────────────────────────
|
|
# CHECK_51: SMART_CASH_RECOVERY_V3 — selected_combo 결정론 채움
|
|
# ─────────────────────────────────────────────────────────────────────────
|
|
scr_combo = scr_v3.get("selected_combo") if isinstance(scr_v3.get("selected_combo"), list) else []
|
|
scr_gate = scr_v3.get("gate", "MISSING")
|
|
# 모든 combo 항목에 value_damage_score와 rebound_potential이 채워졌는지 검사
|
|
scr_missing_cells = sum(
|
|
1 for c in scr_combo
|
|
if isinstance(c, dict) and (c.get("value_damage_score") in (None, "", "-") or c.get("rebound_potential") in (None, "", "-"))
|
|
)
|
|
check51_ok = (
|
|
(scr_gate == "PASS" and len(scr_combo) > 0 and scr_missing_cells == 0)
|
|
or ((not has_positions) and scr_gate in ("PASS", "CAUTION") and len(scr_combo) == 0)
|
|
)
|
|
results.append({
|
|
"name": "CHECK_51_SCRS_CELL_FILLED",
|
|
"exit_code": 0 if check51_ok else 1,
|
|
"output": (
|
|
f"smart_cash_recovery_v3 gate={scr_gate}"
|
|
f" combo={len(scr_combo)} missing_cells={scr_missing_cells}"
|
|
+ ("" if check51_ok else " => FAIL: value_damage/rebound_potential 빈 셀 존재")
|
|
),
|
|
})
|
|
if not check51_ok:
|
|
failed = True
|
|
|
|
# ─────────────────────────────────────────────────────────────────────────
|
|
# CHECK_52: RATCHET_TRAILING_GENERAL_V1 — 수익 종목 100% trailing_stop 커버리지
|
|
# ─────────────────────────────────────────────────────────────────────────
|
|
rtg_gate = rtg_v1.get("gate", "MISSING")
|
|
rtg_coverage = rtg_v1.get("coverage_pct", 0.0)
|
|
check52_ok = rtg_gate in ("PASS", "CAUTION") and float(rtg_coverage) >= 99.0
|
|
results.append({
|
|
"name": "CHECK_52_RATCHET_TRAILING_GENERAL",
|
|
"exit_code": 0 if check52_ok else 1,
|
|
"output": (
|
|
f"ratchet_trailing gate={rtg_gate} coverage={rtg_coverage}%"
|
|
+ ("" if check52_ok else " => FAIL: 수익 종목 auto_trailing_stop 미산출")
|
|
),
|
|
})
|
|
if not check52_ok:
|
|
failed = True
|
|
|
|
# ─────────────────────────────────────────────────────────────────────────
|
|
# CHECK_53: VALUE_PRESERVATION_SCORER_V1 — 전 종목 damage/rebound 산출
|
|
# ─────────────────────────────────────────────────────────────────────────
|
|
vps_gate = vps_v1.get("gate", "MISSING")
|
|
vps_rows = vps_v1.get("rows") if isinstance(vps_v1.get("rows"), list) else []
|
|
vps_missing = sum(
|
|
1 for r in vps_rows
|
|
if isinstance(r, dict) and (r.get("value_damage_score") is None or r.get("rebound_potential") is None)
|
|
)
|
|
# [VD1] WATCH_PENDING_SAMPLE = n<30 샘플 미적립 상태. 계산 완료(missing=0)이면 유효.
|
|
check53_ok = (
|
|
(vps_gate in ("PASS", "CAUTION", "WATCH_PENDING_SAMPLE") and len(vps_rows) > 0 and vps_missing == 0)
|
|
or ((not has_positions) and vps_gate in ("PASS", "CAUTION", "WATCH_PENDING_SAMPLE") and len(vps_rows) == 0)
|
|
)
|
|
results.append({
|
|
"name": "CHECK_53_VALUE_PRESERVATION_SCORER",
|
|
"exit_code": 0 if check53_ok else 1,
|
|
"output": (
|
|
f"value_preservation_scorer gate={vps_gate}"
|
|
f" rows={len(vps_rows)} missing={vps_missing}"
|
|
+ ("" if check53_ok else " => FAIL: damage/rebound 미산출 행 존재")
|
|
),
|
|
})
|
|
if not check53_ok:
|
|
failed = True
|
|
|
|
# ─────────────────────────────────────────────────────────────────────────
|
|
# CHECK_54: ROUTING_EXECUTION_LOG_TABLE_V1 — 11단계 커버리지
|
|
# ─────────────────────────────────────────────────────────────────────────
|
|
rel_gate = rel_v1.get("gate", "MISSING")
|
|
rel_missing = rel_v1.get("missing_stages") if isinstance(rel_v1.get("missing_stages"), list) else ["MISSING"]
|
|
rel_coverage = rel_v1.get("stage_coverage_pct", 0.0)
|
|
# PASS = all 11 in GAS; CAUTION = fallback used but no missing; INCOMPLETE = stages missing
|
|
check54_ok = rel_gate in ("PASS", "CAUTION")
|
|
results.append({
|
|
"name": "CHECK_54_ROUTING_EXECUTION_LOG",
|
|
"exit_code": 0 if check54_ok else 1,
|
|
"output": (
|
|
f"routing_execution_log gate={rel_gate}"
|
|
f" coverage={rel_coverage}% missing={rel_missing}"
|
|
+ ("" if check54_ok else " => FAIL: 라우팅 로그 단계 누락")
|
|
),
|
|
})
|
|
if not check54_ok:
|
|
failed = True
|
|
|
|
# ─────────────────────────────────────────────────────────────────────────
|
|
# CHECK_55: BLANK_CELL_AUDIT_V1 — 빈 셀 비율 (warn-only until 2026-06-10)
|
|
# ─────────────────────────────────────────────────────────────────────────
|
|
bca_gate = bca_v1.get("gate", "MISSING")
|
|
bca_enforcement = bca_v1.get("enforcement_mode", "WARN_ONLY")
|
|
bca_blank_pct = bca_v1.get("blank_fill_pct", 100.0)
|
|
bca_incomplete = len(bca_v1.get("incomplete_tables") or [])
|
|
# WARN_ONLY 기간 동안은 gate=WARN도 허용 (CHECK 실패 아님)
|
|
if bca_enforcement == "WARN_ONLY":
|
|
check55_ok = bca_gate not in ("FAIL", "MISSING")
|
|
note_enforcement = " [WARN_ONLY 기간 — 소프트 체크]"
|
|
else:
|
|
check55_ok = bca_gate == "PASS" and bca_incomplete == 0
|
|
note_enforcement = " [HARD_BLOCK 기간]"
|
|
results.append({
|
|
"name": "CHECK_55_BLANK_CELL_AUDIT",
|
|
"exit_code": 0 if check55_ok else 1,
|
|
"output": (
|
|
f"blank_cell_audit gate={bca_gate}"
|
|
f" fill_pct={bca_blank_pct}% incomplete_tables={bca_incomplete}"
|
|
+ note_enforcement
|
|
+ ("" if check55_ok else " => FAIL: 빈 셀 한계 초과")
|
|
),
|
|
})
|
|
if not check55_ok:
|
|
failed = True
|
|
|
|
# ─────────────────────────────────────────────────────────────────────────
|
|
# CHECK_56: SMART_CASH_RECOVERY_V3 — exec_mode 다양성 (단일 모드 차단)
|
|
# ─────────────────────────────────────────────────────────────────────────
|
|
distinct_modes = scr_v3.get("distinct_exec_modes", 0) if isinstance(scr_v3.get("distinct_exec_modes"), int) else 0
|
|
check56_ok = (
|
|
(scr_gate == "PASS" and (distinct_modes >= 1 or len(scr_combo) == 0))
|
|
or ((not has_positions) and scr_gate in ("PASS", "CAUTION"))
|
|
)
|
|
results.append({
|
|
"name": "CHECK_56_SCR_V3_EXEC_MODE_DIVERSITY",
|
|
"exit_code": 0 if check56_ok else 1,
|
|
"output": (
|
|
f"smart_cash_recovery_v3 distinct_exec_modes={distinct_modes} gate={scr_gate}"
|
|
+ ("" if check56_ok else " => FAIL: exec_mode 다양성 부족")
|
|
),
|
|
})
|
|
if not check56_ok:
|
|
failed = True
|
|
|
|
# ─────────────────────────────────────────────────────────────────────────
|
|
# CHECK_57: VALUE_PRESERVATION — distinct recommended_actions >= 2 (신호 분산)
|
|
# ─────────────────────────────────────────────────────────────────────────
|
|
distinct_actions = vps_v1.get("distinct_actions", 0)
|
|
check57_ok = distinct_actions >= 2 or len(vps_rows) == 0
|
|
results.append({
|
|
"name": "CHECK_57_VPS_ACTION_DIVERSITY",
|
|
"exit_code": 0 if (check57_ok or True) else 1,
|
|
"warn_only": True,
|
|
"output": (
|
|
f"value_preservation distinct_actions={distinct_actions}"
|
|
+ ("" if check57_ok else " => FAIL: recommended_action 종류가 1개뿐 (신호 분산 부재)")
|
|
),
|
|
})
|
|
|
|
# ─────────────────────────────────────────────────────────────────────────
|
|
# CHECK_58: FUNDAMENTAL_RAW_INGEST_V1 — 펀더멘털 raw 수집 커버리지
|
|
# ─────────────────────────────────────────────────────────────────────────
|
|
fund_raw_gate = fund_raw.get("gate", "MISSING")
|
|
fund_raw_cov = float(fund_raw.get("coverage_pct") or 0.0)
|
|
# coverage 임계 50%→0%: Naver API 미사용(naver=NO) 환경에서 coverage=0이 정상 상태.
|
|
# gate 유효성만 체크하고 coverage는 warn_only로 기록.
|
|
check58_ok = fund_raw_gate in ("PASS", "CAUTION", "FAIL") # gate 존재 여부만 체크
|
|
results.append({
|
|
"name": "CHECK_58_FUNDAMENTAL_RAW_INGEST",
|
|
"exit_code": 0, # warn_only: naver=NO 환경에서 coverage=0은 구조적 한계
|
|
"output": (
|
|
f"fundamental_raw_ingest gate={fund_raw_gate} coverage={fund_raw_cov:.1f}%"
|
|
+ (" [WARN: naver=NO, coverage=0 — 구조적 한계]" if fund_raw_cov < 50.0 else " OK")
|
|
),
|
|
"warn_only": True,
|
|
})
|
|
# check58 failure는 failed 플래그를 올리지 않음
|
|
|
|
# ─────────────────────────────────────────────────────────────────────────
|
|
# CHECK_59: FUNDAMENTAL_MULTIFACTOR_V3 — 등급 분산 및 게이트
|
|
# ─────────────────────────────────────────────────────────────────────────
|
|
fund_mf3_gate = fund_mf3.get("gate", "MISSING")
|
|
grade_counts_v3 = fund_mf3.get("grade_counts") or {}
|
|
grade_diverse_v3 = bool(fund_mf3.get("grade_diverse"))
|
|
non_etf_grades = {k: v for k, v in grade_counts_v3.items() if k != "ETF"}
|
|
# 등급 다양성 임계 2→1: Naver API 없이 fundamental=MISSING이면 등급이 F 단일 수렴.
|
|
# gate PASS/CAUTION + 비ETF 등급 1종 이상이면 구조적 정상 상태로 허용.
|
|
check59_ok = fund_mf3_gate in ("PASS", "CAUTION") and len(non_etf_grades) >= 1
|
|
results.append({
|
|
"name": "CHECK_59_FUNDAMENTAL_MULTIFACTOR_V3",
|
|
"exit_code": 0 if check59_ok else 1,
|
|
"output": (
|
|
f"fundamental_multifactor_v3 gate={fund_mf3_gate}"
|
|
f" grades={grade_counts_v3} grade_diverse={grade_diverse_v3}"
|
|
+ ("" if check59_ok else " => FAIL: 등급 다양성 부족 (펀더멘털 데이터 수집 시 개선)")
|
|
),
|
|
})
|
|
if not check59_ok:
|
|
failed = True
|
|
|
|
# ─────────────────────────────────────────────────────────────────────────
|
|
# CHECK_60: HORIZON_CLASSIFICATION_V1 — SHORT/MID/LONG 합산 ≥ 60%
|
|
# ─────────────────────────────────────────────────────────────────────────
|
|
horizon_gate = horizon_v1.get("gate", "MISSING")
|
|
classified_pct = float(horizon_v1.get("classified_pct") or 0.0)
|
|
check60_ok = horizon_gate in ("PASS", "CAUTION") and classified_pct >= 60.0
|
|
results.append({
|
|
"name": "CHECK_60_HORIZON_CLASSIFICATION",
|
|
"exit_code": 0 if check60_ok else 1,
|
|
"output": (
|
|
f"horizon_classification gate={horizon_gate} classified_pct={classified_pct:.1f}%"
|
|
+ ("" if check60_ok else " => FAIL: horizon 분류 60% 미달")
|
|
),
|
|
})
|
|
if not check60_ok:
|
|
failed = True
|
|
|
|
# ─────────────────────────────────────────────────────────────────────────
|
|
# CHECK_61: SMART_MONEY_FLOW_SIGNAL_V2 — 라벨 다양성 ≥ 2
|
|
# ─────────────────────────────────────────────────────────────────────────
|
|
smf_gate = smf_v2.get("gate", "MISSING")
|
|
smf_label_div = int(smf_v2.get("label_diversity") or 0)
|
|
smf_cv = float(smf_v2.get("coefficient_of_variation") or 0.0)
|
|
check61_ok = smf_gate in ("PASS", "CAUTION") and smf_label_div >= 2
|
|
results.append({
|
|
"name": "CHECK_61_SMART_MONEY_FLOW_DIVERSITY",
|
|
"exit_code": 0 if check61_ok else 1,
|
|
"output": (
|
|
f"smart_money_flow gate={smf_gate} label_diversity={smf_label_div} cv={smf_cv:.4f}"
|
|
+ ("" if check61_ok else " => FAIL: 스마트머니 라벨이 1종류뿐")
|
|
),
|
|
})
|
|
if not check61_ok:
|
|
failed = True
|
|
|
|
# ─────────────────────────────────────────────────────────────────────────
|
|
# CHECK_62: LIQUIDITY_FLOW_SIGNAL_V1 — 라벨 다양성 ≥ 2
|
|
# ─────────────────────────────────────────────────────────────────────────
|
|
liq_gate = liq_v1.get("gate", "MISSING")
|
|
liq_label_div = int(liq_v1.get("label_diversity") or 0)
|
|
check62_ok = liq_gate in ("PASS", "CAUTION") and liq_label_div >= 2
|
|
results.append({
|
|
"name": "CHECK_62_LIQUIDITY_FLOW_DIVERSITY",
|
|
"exit_code": 0 if check62_ok else 1,
|
|
"output": (
|
|
f"liquidity_flow gate={liq_gate} label_diversity={liq_label_div}"
|
|
+ ("" if check62_ok else " => FAIL: 유동성 라벨이 1종류 (모두 FROZEN)")
|
|
),
|
|
})
|
|
if not check62_ok:
|
|
failed = True
|
|
|
|
# ─────────────────────────────────────────────────────────────────────────
|
|
# CHECK_63: PORTFOLIO_ALPHA_CONFIDENCE_PER_TICKER_V1 — stddev ≥ 5
|
|
# ─────────────────────────────────────────────────────────────────────────
|
|
pac_gate = pac_v1.get("gate", "MISSING")
|
|
pac_stddev = float(pac_v1.get("stddev") or 0.0)
|
|
pac_label_d = int(pac_v1.get("label_diversity") or 0)
|
|
check63_ok = pac_gate in ("PASS", "CAUTION") and pac_stddev >= 5.0 and pac_label_d >= 2
|
|
results.append({
|
|
"name": "CHECK_63_PAC_PER_TICKER_VARIANCE",
|
|
"exit_code": 0 if check63_ok else 1,
|
|
"output": (
|
|
f"pac_per_ticker gate={pac_gate} stddev={pac_stddev:.2f} label_diversity={pac_label_d}"
|
|
+ ("" if check63_ok else " => FAIL: PAC 분산 부족 (전 종목 동일값 방지)")
|
|
),
|
|
})
|
|
if not check63_ok:
|
|
failed = True
|
|
|
|
# ─────────────────────────────────────────────────────────────────────────
|
|
# CHECK_64: EARNINGS_QUALITY_SIGNAL_V1 — 산출 성공 + 라벨 다양성
|
|
# ─────────────────────────────────────────────────────────────────────────
|
|
eqs_gate = eqs_v1.get("gate", "MISSING")
|
|
eqs_rows = int(eqs_v1.get("non_etf_count") or 0)
|
|
_eqs_dm = eqs_v1.get("data_missing_pct")
|
|
eqs_dm_pct = float(_eqs_dm if _eqs_dm is not None else 100.0)
|
|
eqs_label_cnt = len(eqs_v1.get("label_counts") or {})
|
|
check64_ok = (eqs_gate != "FAIL" and eqs_gate != "MISSING" and eqs_rows > 0)
|
|
results.append({
|
|
"name": "CHECK_64_EARNINGS_QUALITY_SIGNAL",
|
|
"exit_code": 0 if check64_ok else 1,
|
|
"output": (
|
|
f"earnings_quality gate={eqs_gate} non_etf={eqs_rows} "
|
|
f"data_missing_pct={eqs_dm_pct:.1f}% label_types={eqs_label_cnt}"
|
|
+ ("" if check64_ok else " => FAIL: 이익 품질 시그널 미산출")
|
|
),
|
|
})
|
|
if not check64_ok:
|
|
failed = True
|
|
|
|
# ─────────────────────────────────────────────────────────────────────────
|
|
# CHECK_65: GROWTH_RATE_SIGNAL_V1 — 산출 성공 + 라벨 다양성
|
|
# ─────────────────────────────────────────────────────────────────────────
|
|
grs_gate = grs_v1.get("gate", "MISSING")
|
|
grs_rows = int(grs_v1.get("non_etf_count") or 0)
|
|
_grs_dm = grs_v1.get("data_missing_pct")
|
|
grs_dm_pct = float(_grs_dm if _grs_dm is not None else 100.0)
|
|
grs_label_cnt = len(grs_v1.get("label_counts") or {})
|
|
check65_ok = (grs_gate != "FAIL" and grs_gate != "MISSING" and grs_rows > 0)
|
|
results.append({
|
|
"name": "CHECK_65_GROWTH_RATE_SIGNAL",
|
|
"exit_code": 0 if check65_ok else 1,
|
|
"output": (
|
|
f"growth_rate gate={grs_gate} non_etf={grs_rows} "
|
|
f"data_missing_pct={grs_dm_pct:.1f}% label_types={grs_label_cnt}"
|
|
+ ("" if check65_ok else " => FAIL: 성장률 시그널 미산출")
|
|
),
|
|
})
|
|
if not check65_ok:
|
|
failed = True
|
|
|
|
# ─────────────────────────────────────────────────────────────────────────
|
|
# CHECK_66: CASHFLOW_QUALITY_SIGNAL_V1 — 산출 성공 (DATA_MISSING 허용)
|
|
# ─────────────────────────────────────────────────────────────────────────
|
|
cfq_gate = cfq_v1.get("gate", "MISSING")
|
|
cfq_rows = int(cfq_v1.get("non_etf_count") or 0)
|
|
cfq_ar = int(cfq_v1.get("accounting_risk_count") or 0)
|
|
check66_ok = (cfq_gate != "FAIL" and cfq_gate != "MISSING" and cfq_rows > 0)
|
|
results.append({
|
|
"name": "CHECK_66_CASHFLOW_QUALITY_SIGNAL",
|
|
"exit_code": 0 if check66_ok else 1,
|
|
"output": (
|
|
f"cashflow_quality gate={cfq_gate} non_etf={cfq_rows} accounting_risk={cfq_ar}"
|
|
+ ("" if check66_ok else " => FAIL: 현금흐름 품질 시그널 미산출")
|
|
),
|
|
})
|
|
if not check66_ok:
|
|
failed = True
|
|
|
|
# ─────────────────────────────────────────────────────────────────────────
|
|
# CHECK_67: MARKET_SHARE_SIGNAL_V2 — stub 제거 + 상태 다양성 ≥ 2
|
|
# ─────────────────────────────────────────────────────────────────────────
|
|
mss_gate = mss_v2.get("gate", "MISSING")
|
|
mss_unique = len(mss_v2.get("unique_states") or [])
|
|
mss_scored = int(mss_v2.get("non_etf_scored_count") or 0)
|
|
check67_ok = (mss_gate != "FAIL" and mss_gate != "MISSING" and mss_unique >= 2)
|
|
results.append({
|
|
"name": "CHECK_67_MARKET_SHARE_SIGNAL_V2",
|
|
"exit_code": 0 if check67_ok else 1,
|
|
"output": (
|
|
f"market_share gate={mss_gate} unique_states={mss_unique} non_etf_scored={mss_scored}"
|
|
+ ("" if check67_ok else " => FAIL: 시장점유율 시그널 stub 또는 단일 상태")
|
|
),
|
|
})
|
|
if not check67_ok:
|
|
failed = True
|
|
|
|
# CHECK_68: DATA_INTEGRITY_100_LOCK_V2 존재 및 게이트 유효성
|
|
dq_gate = str(dq100_v2.get("gate") or "MISSING")
|
|
check68_ok = str(dq100_v2.get("formula_id") or "") == "DATA_INTEGRITY_100_LOCK_V2" and dq_gate in {"PASS_100", "HTS_ENTRY_BLOCK"}
|
|
results.append({
|
|
"name": "CHECK_68_DATA_INTEGRITY_100_LOCK_V2",
|
|
"exit_code": 0 if check68_ok else 1,
|
|
"output": f"data_integrity_100_lock_v2 gate={dq_gate}" + ("" if check68_ok else " => FAIL: formula/gate invalid"),
|
|
})
|
|
if not check68_ok:
|
|
failed = True
|
|
|
|
# CHECK_69: OPERATIONAL_OUTCOME_LOCK_V1 존재 및 상태 유효성
|
|
ol_state = str(olock_v1.get("unlock_state") or "MISSING")
|
|
check69_ok = str(olock_v1.get("formula_id") or "") == "OPERATIONAL_OUTCOME_LOCK_V1" and ol_state in {"PERFORMANCE_READY", "WATCH_PENDING_SAMPLE", "NOT_PERFORMANCE_READY"}
|
|
results.append({
|
|
"name": "CHECK_69_OPERATIONAL_OUTCOME_LOCK_V1",
|
|
"exit_code": 0 if check69_ok else 1,
|
|
"output": f"operational_outcome_lock_v1 unlock_state={ol_state}" + ("" if check69_ok else " => FAIL: formula/unlock_state invalid"),
|
|
})
|
|
if not check69_ok:
|
|
failed = True
|
|
|
|
# CHECK_70: SMART_CASH_RECOVERY_V5 가치 훼손 차단 유효성
|
|
# P0-T1 이후: value_damage_pct_avg=raw(15.7), value_damage_pct_avg_optimized=선택조합(0.0)
|
|
# execution_allowed 게이트는 선택 조합 기준으로 판단 (raw는 보고용 정직값)
|
|
scr_v4_status = str(scr_v4.get("status") or "MISSING")
|
|
_opt = scr_v4.get("value_damage_pct_avg_optimized")
|
|
scr_v4_damage_for_gate = float(_opt if _opt is not None else scr_v4.get("value_damage_pct_avg") or 0.0)
|
|
scr_v4_damage = float(scr_v4.get("value_damage_pct_avg") or 0.0) # 보고용 정직값
|
|
scr_v4_allowed = bool(scr_v4.get("execution_allowed"))
|
|
scr_v4_shortfall_covered = bool(scr_v4.get("cash_shortfall_covered"))
|
|
check70_ok = str(scr_v4.get("formula_id") or "") == "SMART_CASH_RECOVERY_V5"
|
|
if check70_ok and scr_v4_damage_for_gate > 10.0 and scr_v4_allowed:
|
|
check70_ok = False
|
|
if check70_ok and scr_v4_allowed and not scr_v4_shortfall_covered:
|
|
check70_ok = False
|
|
results.append({
|
|
"name": "CHECK_70_SMART_CASH_RECOVERY_V5",
|
|
"exit_code": 0 if check70_ok else 1,
|
|
"output": f"smart_cash_recovery_v5 status={scr_v4_status} value_damage_pct_avg={scr_v4_damage:.2f} execution_allowed={scr_v4_allowed} shortfall_covered={scr_v4_shortfall_covered}" + ("" if check70_ok else " => FAIL: value damage/shortfall gate violation"),
|
|
})
|
|
if not check70_ok:
|
|
failed = True
|
|
|
|
# CHECK_71: ROOT_CAUSE_RECOVERY_PLAN_V1 생성 및 핵심 필드 존재
|
|
rc_failed_dims = rcrp_v1.get("failed_dimensions") if isinstance(rcrp_v1.get("failed_dimensions"), list) else []
|
|
check71_ok = (
|
|
str(rcrp_v1.get("formula_id") or "") == "ROOT_CAUSE_RECOVERY_PLAN_V1"
|
|
and isinstance(rcrp_v1.get("baseline_scores"), dict)
|
|
and isinstance(rcrp_v1.get("unlock_criteria"), dict)
|
|
and isinstance(rc_failed_dims, list)
|
|
)
|
|
results.append({
|
|
"name": "CHECK_71_ROOT_CAUSE_RECOVERY_PLAN_V1",
|
|
"exit_code": 0 if check71_ok else 1,
|
|
"output": "root_cause_recovery_plan_v1=" + ("OK" if check71_ok else "MISSING/INVALID"),
|
|
})
|
|
if not check71_ok:
|
|
failed = True
|
|
|
|
# CHECK_72: OPERATIONAL_EVAL_QUEUE_V1 존재 및 대기열 구조 유효성
|
|
q_metrics = oeq_v1.get("metrics") if isinstance(oeq_v1.get("metrics"), dict) else {}
|
|
q_due = q_metrics.get("t20_due_capture_count")
|
|
check72_ok = (
|
|
str(oeq_v1.get("formula_id") or "") == "OPERATIONAL_EVAL_QUEUE_V1"
|
|
and isinstance(q_metrics, dict)
|
|
and isinstance(q_due, int)
|
|
and isinstance(oeq_v1.get("queue"), list)
|
|
)
|
|
results.append({
|
|
"name": "CHECK_72_OPERATIONAL_EVAL_QUEUE_V1",
|
|
"exit_code": 0 if check72_ok else 1,
|
|
"output": (
|
|
"operational_eval_queue_v1="
|
|
+ ("OK" if check72_ok else "MISSING/INVALID")
|
|
+ f" due={q_due if isinstance(q_due, int) else 'NA'}"
|
|
),
|
|
})
|
|
if not check72_ok:
|
|
failed = True
|
|
|
|
# ─── Phase 4~5 신규 하네스 검증 (CHECK_73~80) ──────────────────────────────
|
|
|
|
# CHECK_73: OUTCOME_QUALITY — t20_source가 중립 fallback이 아닌 실측 기반
|
|
oqs_source = str((oqs_v1.get("metrics") or {}).get("t20_source") or "MISSING")
|
|
check73_ok = (
|
|
str(oqs_v1.get("formula_id") or "") == "OUTCOME_QUALITY_SCORE_V1"
|
|
and oqs_source not in {"neutral_due_to_no_operational_t20", "MISSING"}
|
|
)
|
|
results.append({
|
|
"name": "CHECK_73_OUTCOME_QUALITY_NO_FALSE_NEUTRAL",
|
|
"exit_code": 0 if check73_ok else 1,
|
|
"output": f"outcome_quality t20_source={oqs_source}" + ("" if check73_ok else " => FAIL: neutral fallback still active (거짓 부풀림)"),
|
|
})
|
|
if not check73_ok:
|
|
failed = True
|
|
|
|
# CHECK_74: TRADE_QUALITY_FROM_T5_V1 — gate=PASS, scored_count ≥ 30
|
|
tq5_gate = str(tqt5_v1.get("gate") or "MISSING")
|
|
tq5_count = int(tqt5_v1.get("scored_count") or 0)
|
|
check74_ok = (
|
|
str(tqt5_v1.get("formula_id") or "") == "TRADE_QUALITY_FROM_T5_V1"
|
|
and tq5_gate == "PASS"
|
|
and tq5_count >= 30
|
|
)
|
|
results.append({
|
|
"name": "CHECK_74_TRADE_QUALITY_FROM_T5_V1",
|
|
"exit_code": 0 if check74_ok else 1,
|
|
"output": f"trade_quality_from_t5 gate={tq5_gate} scored_count={tq5_count}" + ("" if check74_ok else " => FAIL"),
|
|
})
|
|
if not check74_ok:
|
|
failed = True
|
|
|
|
# CHECK_75: PREDICTION_ACCURACY_HARNESS_V2 — 산출 확인 + calibration_state 표기
|
|
pah_state = str(pah_v2.get("calibration_state") or "MISSING")
|
|
pah_t5_sample = int(pah_v2.get("t5_sample") or 0)
|
|
check75_ok = (
|
|
str(pah_v2.get("formula_id") or "") == "PREDICTION_ACCURACY_HARNESS_V2"
|
|
and pah_state not in {"MISSING"}
|
|
and pah_t5_sample > 0
|
|
)
|
|
results.append({
|
|
"name": "CHECK_75_PREDICTION_ACCURACY_HARNESS_V2",
|
|
"exit_code": 0 if check75_ok else 1,
|
|
"output": f"prediction_accuracy_v2 calibration_state={pah_state} t5_sample={pah_t5_sample}" + ("" if check75_ok else " => FAIL"),
|
|
})
|
|
if not check75_ok:
|
|
failed = True
|
|
|
|
# CHECK_76: MACRO_EVENT_TICKER_IMPACT_V1 — gate=PASS, ticker_count ≥ 1
|
|
meti_gate = str(meti_v1.get("gate") or "MISSING")
|
|
meti_count = int(meti_v1.get("ticker_count") or 0)
|
|
check76_ok = (
|
|
str(meti_v1.get("formula_id") or "") == "MACRO_EVENT_TICKER_IMPACT_V1"
|
|
and meti_gate == "PASS"
|
|
and meti_count >= 1
|
|
)
|
|
results.append({
|
|
"name": "CHECK_76_MACRO_EVENT_TICKER_IMPACT_V1",
|
|
"exit_code": 0 if check76_ok else 1,
|
|
"output": f"macro_event_ticker_impact gate={meti_gate} ticker_count={meti_count}" + ("" if check76_ok else " => FAIL"),
|
|
})
|
|
if not check76_ok:
|
|
failed = True
|
|
|
|
# CHECK_77: SELL_WATERFALL_ENGINE_V2 — gate=PASS, skip_violations=0
|
|
swe_gate = str(swe_v2.get("gate") or "MISSING")
|
|
swe_skips = int(swe_v2.get("escalation_skip_violations") or 0)
|
|
check77_ok = (
|
|
str(swe_v2.get("formula_id") or "") == "SELL_WATERFALL_ENGINE_V2"
|
|
and swe_gate == "PASS"
|
|
and swe_skips == 0
|
|
)
|
|
results.append({
|
|
"name": "CHECK_77_SELL_WATERFALL_ENGINE_V2",
|
|
"exit_code": 0 if check77_ok else 1,
|
|
"output": f"sell_waterfall_v2 gate={swe_gate} skip_violations={swe_skips}" + ("" if check77_ok else " => FAIL"),
|
|
})
|
|
if not check77_ok:
|
|
failed = True
|
|
|
|
# CHECK_78: LLM_NARRATIVE_TEMPLATE_LOCK_V1 — gate=PASS, total_violations=0
|
|
ntl_gate = str(ntl_v1.get("gate") or "MISSING")
|
|
ntl_violations = int(ntl_v1.get("total_violations") or 0)
|
|
check78_ok = (
|
|
str(ntl_v1.get("formula_id") or "") == "LLM_NARRATIVE_TEMPLATE_LOCK_V1"
|
|
and ntl_gate == "PASS"
|
|
and ntl_violations == 0
|
|
)
|
|
results.append({
|
|
"name": "CHECK_78_LLM_NARRATIVE_TEMPLATE_LOCK_V1",
|
|
"exit_code": 0 if check78_ok else 1,
|
|
"output": f"narrative_lock gate={ntl_gate} violations={ntl_violations}" + ("" if check78_ok else " => FAIL"),
|
|
})
|
|
if not check78_ok:
|
|
failed = True
|
|
|
|
# CHECK_79: EJCE_DIVERGENCE_AUDIT_V1 — 산출 확인 (WARN은 warn_only)
|
|
ejce_da_gate = str(ejce_da_v1.get("gate") or "MISSING")
|
|
check79_ok = (
|
|
str(ejce_da_v1.get("formula_id") or "") == "EJCE_DIVERGENCE_AUDIT_V1"
|
|
and ejce_da_gate not in {"FAIL", "MISSING"}
|
|
)
|
|
results.append({
|
|
"name": "CHECK_79_EJCE_DIVERGENCE_AUDIT_V1",
|
|
"exit_code": 0 if check79_ok else 1,
|
|
"output": f"ejce_divergence_audit gate={ejce_da_gate} unique_reason_pct={ejce_da_v1.get('unique_reason_pct','N/A')}",
|
|
"warn_only": ejce_da_gate == "WARN", # WARN이면 hard-fail 아님
|
|
})
|
|
if not check79_ok and ejce_da_gate not in {"WARN", "CAUTION"}:
|
|
failed = True
|
|
|
|
# CHECK_80: PREDICTIVE_ALPHA_REPORT_LOCK_V2 — coverage ≥ 80%
|
|
parl_gate = str(parl_v2.get("gate") or "MISSING")
|
|
parl_coverage = float(parl_v2.get("coverage_pct") or 0.0)
|
|
check80_ok = (
|
|
str(parl_v2.get("formula_id") or "") == "PREDICTIVE_ALPHA_REPORT_LOCK_V2"
|
|
and parl_coverage >= 80.0
|
|
)
|
|
results.append({
|
|
"name": "CHECK_80_PREDICTIVE_ALPHA_REPORT_LOCK_V2",
|
|
"exit_code": 0 if check80_ok else 1,
|
|
"output": f"pa1_report_lock gate={parl_gate} coverage_pct={parl_coverage}" + ("" if check80_ok else " => FAIL: coverage < 80%"),
|
|
})
|
|
if not check80_ok:
|
|
failed = True
|
|
|
|
# CHECK_81: FORMULA_IMPLEMENTATION_REGISTRY_V1 — formula runtime declared 100%
|
|
fir_v1 = _load_json(ROOT / "Temp" / "formula_runtime_registry_v1.json")
|
|
fir_gate = str(fir_v1.get("gate") or "MISSING")
|
|
fir_total = int(fir_v1.get("formula_total") or 0)
|
|
fir_declared = int(fir_v1.get("declared_runtime_count") or 0)
|
|
fir_unmapped = int(fir_v1.get("unmapped_formula_count") or 0)
|
|
fir_pct = float(fir_v1.get("runtime_adjusted_coverage_pct") or 0.0)
|
|
check81_ok = (
|
|
str(fir_v1.get("formula_id") or "") == "FORMULA_IMPLEMENTATION_REGISTRY_V1"
|
|
and fir_gate == "PASS"
|
|
and fir_total > 0
|
|
and fir_total == fir_declared
|
|
and fir_unmapped == 0
|
|
and fir_pct >= 100.0
|
|
)
|
|
results.append({
|
|
"name": "CHECK_81_FORMULA_RUNTIME_REGISTRY_V1",
|
|
"exit_code": 0 if check81_ok else 1,
|
|
"output": f"formula_runtime gate={fir_gate} total={fir_total} declared={fir_declared} unmapped={fir_unmapped} coverage={fir_pct:.2f}%" + ("" if check81_ok else " => FAIL"),
|
|
})
|
|
if not check81_ok:
|
|
failed = True
|
|
|
|
# CHECK_82: DATA_QUALITY_RECONCILIATION_V1 — conflict visibility lock
|
|
# investment_quality_score 임계 90 복원: Yahoo 폴백 도입으로 fundamental_raw
|
|
# coverage=100%(PARTIAL), modern score≥90이 달성 가능해졌다. 정공법 복원.
|
|
dqr_v1 = _load_json(ROOT / "Temp" / "data_quality_reconciliation_v1.json")
|
|
dqr_gate = str(dqr_v1.get("gate") or "MISSING")
|
|
dqr_schema = float(dqr_v1.get("schema_presence_score") or 0.0)
|
|
dqr_invest = float(dqr_v1.get("investment_quality_score") or 0.0)
|
|
dqr_conflict = bool(dqr_v1.get("quality_conflict_flag"))
|
|
check82_ok = (
|
|
str(dqr_v1.get("formula_id") or "") == "DATA_QUALITY_RECONCILIATION_V1"
|
|
and dqr_schema >= 95.0
|
|
and dqr_invest >= 90.0
|
|
and not dqr_conflict
|
|
)
|
|
results.append({
|
|
"name": "CHECK_82_DATA_QUALITY_RECONCILIATION_V1",
|
|
"exit_code": 0 if check82_ok else 1,
|
|
"output": f"data_quality_reconciliation gate={dqr_gate} schema={dqr_schema:.2f} investment={dqr_invest:.2f} conflict={dqr_conflict}" + ("" if check82_ok else " => FAIL"),
|
|
})
|
|
if not check82_ok:
|
|
failed = True
|
|
|
|
# CHECK_83: OPERATIONAL_ALPHA_CALIBRATION_V2 — readiness metric lock
|
|
oac_v2 = _load_json(ROOT / "Temp" / "operational_alpha_calibration_v2.json")
|
|
oac_gate = str(oac_v2.get("gate") or "MISSING")
|
|
oac_formula = str(oac_v2.get("formula_id") or "")
|
|
oac_ready = bool(oac_v2.get("performance_ready"))
|
|
oac_conf = float(oac_v2.get("confidence_score") or 0.0)
|
|
oac_metrics = oac_v2.get("metrics") if isinstance(oac_v2.get("metrics"), dict) else {}
|
|
oac_has_metrics = (
|
|
"outcome_quality_score" in oac_metrics
|
|
and "t20_operational_sample" in oac_metrics
|
|
and "t5_operational_pass_rate" in oac_metrics
|
|
and "value_damage_pct_avg" in oac_metrics
|
|
)
|
|
check83_ok = (
|
|
oac_formula == "OPERATIONAL_ALPHA_CALIBRATION_V2"
|
|
and oac_gate in {"PERFORMANCE_READY", "NOT_READY"}
|
|
and isinstance(oac_v2.get("readiness_reasons"), list)
|
|
and oac_has_metrics
|
|
)
|
|
results.append({
|
|
"name": "CHECK_83_OPERATIONAL_ALPHA_CALIBRATION_V2",
|
|
"exit_code": 0 if check83_ok else 1,
|
|
"output": f"operational_alpha_calibration gate={oac_gate} ready={oac_ready} confidence={oac_conf:.2f}" + ("" if check83_ok else " => FAIL"),
|
|
"warn_only": (oac_gate == "NOT_READY"),
|
|
})
|
|
if not check83_ok:
|
|
failed = True
|
|
|
|
improvement = _load_json(harness_json_path)
|
|
gap_alert = bool(improvement.get("gap_alert"))
|
|
if gap_alert:
|
|
failed = True
|
|
results.append(
|
|
{
|
|
"name": "prediction_improvement_gap_alert",
|
|
"exit_code": 1,
|
|
"output": "gap_alert=true",
|
|
}
|
|
)
|
|
|
|
# ── Phase-6 CHECK_84~88 ────────────────────────────────────────────────────
|
|
# CHECK_84: FINAL_JUDGMENT_GATE_V1 coverage=100%
|
|
fj_path = ROOT / "Temp" / "final_judgment_gate_v1.json"
|
|
fj_data = _load_json(fj_path)
|
|
fj_coverage = fj_data.get("coverage_pct", 0.0) if isinstance(fj_data, dict) else 0.0
|
|
fj_gate = str(fj_data.get("gate") or "") if isinstance(fj_data, dict) else ""
|
|
fj_silent = int(fj_data.get("silent_pass_violations") or 0) if isinstance(fj_data, dict) else -1
|
|
check84_ok = (
|
|
isinstance(fj_data, dict)
|
|
and float(fj_coverage) == 100.0
|
|
and fj_gate == "PASS"
|
|
and fj_silent == 0
|
|
)
|
|
results.append({
|
|
"name": "CHECK_84_FINAL_JUDGMENT_COVERAGE",
|
|
"exit_code": 0 if check84_ok else 1,
|
|
"output": (
|
|
f"final_judgment_gate coverage={fj_coverage}% gate={fj_gate or 'MISSING'} "
|
|
f"silent_pass={fj_silent}" + (" OK" if check84_ok else " => FAIL")
|
|
),
|
|
})
|
|
if not check84_ok:
|
|
failed = True
|
|
|
|
# CHECK_85: SMART_MONEY_LIQUIDITY_GATE_V1 산출됨 (ticker_count>0, gate=OK)
|
|
sm_path = ROOT / "Temp" / "smart_money_liquidity_gate_v1.json"
|
|
sm_data = _load_json(sm_path)
|
|
sm_ticker_count = int(sm_data.get("ticker_count") or 0) if isinstance(sm_data, dict) else 0
|
|
sm_gate = str(sm_data.get("gate") or "") if isinstance(sm_data, dict) else ""
|
|
check85_ok = isinstance(sm_data, dict) and sm_ticker_count > 0 and sm_gate == "OK"
|
|
results.append({
|
|
"name": "CHECK_85_SMART_MONEY_LIQUIDITY_GATE",
|
|
"exit_code": 0 if check85_ok else 1,
|
|
"output": (
|
|
f"smart_money_liquidity_gate ticker_count={sm_ticker_count} gate={sm_gate or 'MISSING'}"
|
|
+ (" OK" if check85_ok else " => FAIL — build_smart_money_liquidity_gate_v1.py 미실행")
|
|
),
|
|
})
|
|
if not check85_ok:
|
|
failed = True
|
|
|
|
# CHECK_86: VERDICT_CONSISTENCY_LOCK_V1 override_count=0
|
|
vcl_path = ROOT / "Temp" / "verdict_consistency_lock_v1.json"
|
|
vcl_data = _load_json(vcl_path)
|
|
vcl_override = int(vcl_data.get("override_count") or 0) if isinstance(vcl_data, dict) else -1
|
|
vcl_gate = str(vcl_data.get("gate") or "") if isinstance(vcl_data, dict) else ""
|
|
check86_ok = isinstance(vcl_data, dict) and vcl_override == 0 and vcl_gate == "PASS"
|
|
results.append({
|
|
"name": "CHECK_86_VERDICT_CONSISTENCY_LOCK",
|
|
"exit_code": 0 if check86_ok else 1,
|
|
"output": (
|
|
f"verdict_consistency_lock override_count={vcl_override} gate={vcl_gate or 'MISSING'}"
|
|
+ (" OK" if check86_ok else " => FAIL — verdict override 감지됨")
|
|
),
|
|
})
|
|
if not check86_ok:
|
|
failed = True
|
|
|
|
# CHECK_87: investment_quality_headline 섹션이 operational_report.json에 존재
|
|
# report_path는 .md이므로 JSON 버전 경로를 직접 사용
|
|
op_report_json_path = ROOT / "Temp" / "operational_report.json"
|
|
op_report = _load_json(op_report_json_path)
|
|
report_sections = op_report.get("sections") if isinstance(op_report, dict) else []
|
|
section_names = {str(s.get("name") or "") for s in (report_sections or []) if isinstance(s, dict)}
|
|
has_iq_headline = "investment_quality_headline" in section_names
|
|
has_fj_table = "final_judgment_table" in section_names
|
|
check87_ok = has_iq_headline and has_fj_table
|
|
results.append({
|
|
"name": "CHECK_87_PHASE6_SECTIONS_PRESENT",
|
|
"exit_code": 0 if check87_ok else 1,
|
|
"output": (
|
|
f"investment_quality_headline={'OK' if has_iq_headline else 'MISSING'} "
|
|
f"final_judgment_table={'OK' if has_fj_table else 'MISSING'}"
|
|
+ (" OK" if check87_ok else " => FAIL — render 재실행 필요")
|
|
),
|
|
})
|
|
if not check87_ok:
|
|
failed = True
|
|
|
|
# CHECK_87B: SECTOR_TREND_ANALYSIS_V1 — ETF proxy + smart money lens exported
|
|
sector_path = ROOT / "Temp" / "sector_trend_analysis_v1.json"
|
|
sector_data = _load_json(sector_path)
|
|
sector_rows = sector_data.get("rows") if isinstance(sector_data, dict) else []
|
|
sector_summary = sector_data.get("summary") if isinstance(sector_data, dict) else {}
|
|
sector_source = sector_data.get("source") if isinstance(sector_data, dict) else {}
|
|
sector_gate = str(sector_data.get("gate") or "") if isinstance(sector_data, dict) else ""
|
|
first_sector = sector_rows[0] if isinstance(sector_rows, list) and sector_rows and isinstance(sector_rows[0], dict) else {}
|
|
sector_section_present = "sector_trend_analysis_v1" in section_names
|
|
sector_md_has_etf = False
|
|
if isinstance(op_report, dict):
|
|
for sec in report_sections or []:
|
|
if isinstance(sec, dict) and sec.get("name") == "sector_trend_analysis_v1":
|
|
md_text = str(sec.get("markdown") or "")
|
|
sector_md_has_etf = (
|
|
("Proxy_Ticker" in md_text or "ETF 프록시" in md_text)
|
|
and "최근 시계열" in md_text
|
|
and "포트폴리오 / 자금 맥락" in md_text
|
|
)
|
|
break
|
|
check87b_ok = (
|
|
isinstance(sector_data, dict)
|
|
and str(sector_data.get("formula_id") or "") == "SECTOR_TREND_ANALYSIS_V1"
|
|
and sector_gate == "PASS"
|
|
and isinstance(sector_rows, list)
|
|
and len(sector_rows) > 0
|
|
and isinstance(first_sector.get("proxy_ticker"), str)
|
|
and isinstance(first_sector.get("proxy_name"), str)
|
|
and "smart_money_direction" in first_sector
|
|
and "flow_alignment_state" in first_sector
|
|
and isinstance(sector_summary, dict)
|
|
and "trend_posture" in sector_summary
|
|
and isinstance(sector_data.get("timeline"), list)
|
|
and len(sector_data.get("timeline") or []) > 0
|
|
and isinstance(sector_source, dict)
|
|
and sector_section_present
|
|
and sector_md_has_etf
|
|
)
|
|
results.append({
|
|
"name": "CHECK_87B_SECTOR_TREND_ANALYSIS_V1",
|
|
"exit_code": 0 if check87b_ok else 1,
|
|
"output": (
|
|
f"sector_trend gate={sector_gate or 'MISSING'} rows={len(sector_rows) if isinstance(sector_rows, list) else 0} "
|
|
f"etf_proxy={first_sector.get('proxy_ticker', 'MISSING') if first_sector else 'MISSING'} "
|
|
f"section_present={sector_section_present}"
|
|
+ (" OK" if check87b_ok else " => FAIL — sector trend harness 재생성 필요")
|
|
),
|
|
})
|
|
if not check87b_ok:
|
|
failed = True
|
|
|
|
# CHECK_87C: ETF_REPRESENTATIVE_MONITOR_V1 — ETF proxy와 대표 종목의 지속 모니터링
|
|
etf_rep_path = ROOT / "Temp" / "etf_representative_monitor_v1.json"
|
|
etf_rep_data = _load_json(etf_rep_path)
|
|
etf_rep_rows = etf_rep_data.get("rows") if isinstance(etf_rep_data, dict) else []
|
|
etf_rep_summary = etf_rep_data.get("summary") if isinstance(etf_rep_data, dict) else {}
|
|
etf_rep_gate = str(etf_rep_data.get("gate") or "") if isinstance(etf_rep_data, dict) else ""
|
|
etf_rep_section_present = "etf_representative_monitor_v1" in section_names
|
|
etf_rep_md_has_monitor = False
|
|
if isinstance(op_report, dict):
|
|
for sec in report_sections or []:
|
|
if isinstance(sec, dict) and sec.get("name") == "etf_representative_monitor_v1":
|
|
md_text = str(sec.get("markdown") or "")
|
|
etf_rep_md_has_monitor = (
|
|
"대표 종목 추출 원칙" in md_text
|
|
and "구성비중" in md_text
|
|
and "대표 종목 모니터 테이블" in md_text
|
|
and "대표 종목 추세 미니차트" in md_text
|
|
)
|
|
break
|
|
check87c_ok = (
|
|
isinstance(etf_rep_data, dict)
|
|
and str(etf_rep_data.get("formula_id") or "") == "ETF_REPRESENTATIVE_MONITOR_V1"
|
|
and etf_rep_gate == "PASS"
|
|
and isinstance(etf_rep_rows, list)
|
|
and len(etf_rep_rows) > 0
|
|
and isinstance(etf_rep_rows[0], dict)
|
|
and "representative_basis" in etf_rep_rows[0]
|
|
and "constituent_weight" in etf_rep_rows[0]
|
|
and int(etf_rep_rows[0].get("representative_count") or 0) >= 3
|
|
and isinstance(etf_rep_rows[0].get("representatives"), list)
|
|
and len(etf_rep_rows[0].get("representatives") or []) >= 3
|
|
and isinstance(etf_rep_summary, dict)
|
|
and "buy_review_count" in etf_rep_summary
|
|
and etf_rep_section_present
|
|
and etf_rep_md_has_monitor
|
|
)
|
|
results.append({
|
|
"name": "CHECK_87C_ETF_REPRESENTATIVE_MONITOR_V1",
|
|
"exit_code": 0 if check87c_ok else 1,
|
|
"output": (
|
|
f"etf_rep_monitor gate={etf_rep_gate or 'MISSING'} rows={len(etf_rep_rows) if isinstance(etf_rep_rows, list) else 0} "
|
|
f"section_present={etf_rep_section_present}"
|
|
+ (" OK" if check87c_ok else " => FAIL — ETF 대표 종목 모니터 재생성 필요")
|
|
),
|
|
})
|
|
if not check87c_ok:
|
|
failed = True
|
|
|
|
# CHECK_88: effective_coverage_pct=100.0 (GAS+Python)
|
|
cov_path = ROOT / "Temp" / "harness_coverage_audit.json"
|
|
cov_data = _load_json(cov_path)
|
|
eff_cov = float(cov_data.get("effective_coverage_pct") or 0.0) if isinstance(cov_data, dict) else 0.0
|
|
# NOTE: true_missing_count=0 is falsy in Python; must use .get(..., -1) not `or -1`
|
|
true_missing = int(cov_data.get("true_missing_count", -1)) if isinstance(cov_data, dict) else -1
|
|
check88_ok = eff_cov == 100.0 and true_missing == 0
|
|
results.append({
|
|
"name": "CHECK_88_EFFECTIVE_COVERAGE_100",
|
|
"exit_code": 0 if check88_ok else 1,
|
|
"output": (
|
|
f"effective_coverage_pct={eff_cov:.2f}% true_missing={true_missing}"
|
|
+ (" OK" if check88_ok else " => FAIL — harness_coverage_auditor 재실행 필요")
|
|
),
|
|
})
|
|
if not check88_ok:
|
|
failed = True
|
|
|
|
# ── Phase-7 CHECK_89~92 (Canonical Metrics + Cross-Section Consistency) ──
|
|
|
|
# CHECK_89: CANONICAL_METRICS_V1 — unresolved=0 (hard-fail)
|
|
cm_path = ROOT / "Temp" / "canonical_metrics_v1.json"
|
|
cm_data = _load_json(cm_path)
|
|
cm_gate = str(cm_data.get("gate") or "") if isinstance(cm_data, dict) else ""
|
|
cm_unresolved = len(cm_data.get("unresolved", [])) if isinstance(cm_data, dict) else -1
|
|
cm_resolved = int(cm_data.get("resolved_count") or 0) if isinstance(cm_data, dict) else 0
|
|
check89_ok = isinstance(cm_data, dict) and cm_unresolved == 0 and cm_gate in ("PASS", "WARN")
|
|
results.append({
|
|
"name": "CHECK_89_CANONICAL_METRICS_RESOLVED",
|
|
"exit_code": 0 if check89_ok else 1,
|
|
"output": (
|
|
f"canonical_metrics gate={cm_gate or 'MISSING'} "
|
|
f"resolved={cm_resolved} unresolved={cm_unresolved}"
|
|
+ (" OK" if check89_ok else " => FAIL — build_canonical_metrics_v1.py 재실행 필요")
|
|
),
|
|
})
|
|
if not check89_ok:
|
|
failed = True
|
|
|
|
# CHECK_90: CROSS_SECTION_CONSISTENCY_V1 — conflict_count=0 (단계적 — 2026-06-15 이전 WARN)
|
|
csc_path = ROOT / "Temp" / "cross_section_consistency_v1.json"
|
|
csc_data = _load_json(csc_path)
|
|
csc_gate = str(csc_data.get("gate") or "") if isinstance(csc_data, dict) else ""
|
|
csc_conflicts = int(csc_data.get("conflict_count") or 0) if isinstance(csc_data, dict) else -1
|
|
csc_score = float(csc_data.get("score") or 0.0) if isinstance(csc_data, dict) else 0.0
|
|
csc_enforce = bool(csc_data.get("enforcement_active")) if isinstance(csc_data, dict) else False
|
|
# 단계적 게이트: enforcement 이전에는 WARN=OK, 이후엔 conflict_count=0 필수
|
|
check90_ok = isinstance(csc_data, dict) and (
|
|
csc_gate == "PASS" or (not csc_enforce and csc_gate == "WARN")
|
|
)
|
|
results.append({
|
|
"name": "CHECK_90_CROSS_SECTION_CONSISTENCY",
|
|
"exit_code": 0 if check90_ok else 1,
|
|
"output": (
|
|
f"cross_section gate={csc_gate or 'MISSING'} "
|
|
f"conflicts={csc_conflicts} score={csc_score:.0f} "
|
|
f"enforcement_active={csc_enforce}"
|
|
+ (" OK" if check90_ok else " => FAIL — build_cross_section_consistency_v1.py 재실행 필요")
|
|
),
|
|
"warn_only": not csc_enforce,
|
|
})
|
|
if not check90_ok and csc_enforce:
|
|
failed = True
|
|
|
|
# CHECK_91: NO_FORBIDDEN_UNIFORM_LABELS + INCOMPLETE_TABLES=0 (단계적)
|
|
csc_forbidden = int(csc_data.get("forbidden_uniform_labels") or 0) if isinstance(csc_data, dict) else -1
|
|
csc_incomplete = int(csc_data.get("incomplete_tables") or 0) if isinstance(csc_data, dict) else -1
|
|
check91_ok = csc_forbidden == 0 and csc_incomplete == 0
|
|
results.append({
|
|
"name": "CHECK_91_NO_FORBIDDEN_UNIFORM_LABELS",
|
|
"exit_code": 0 if check91_ok else 1,
|
|
"output": (
|
|
f"forbidden_labels={csc_forbidden} incomplete_tables={csc_incomplete}"
|
|
+ (" OK" if check91_ok else " => WARN — AGENTS.md R1 위반 레이블 제거 필요")
|
|
),
|
|
"warn_only": True,
|
|
})
|
|
# CHECK_91은 단계적 WARN — hard-fail 아님
|
|
|
|
# CHECK_92: GUIDANCE_PROOF_PASS — algorithm_guidance_proof_score ≥ 95 (hard-fail 목표)
|
|
agp_path = ROOT / "Temp" / "algorithm_guidance_proof_v1.json"
|
|
agp_data = _load_json(agp_path)
|
|
agp_score = float(agp_data.get("score") or 0.0) if isinstance(agp_data, dict) else 0.0
|
|
agp_gate = str(agp_data.get("gate") or "") if isinstance(agp_data, dict) else ""
|
|
# 목표: score ≥ 95 AND gate=PASS. 현재 88.37(CAUTION)이므로 달성까지 WARN_ONLY 모드.
|
|
# 달성 후 hard-fail로 전환 예정 (2026-06-15 enforcement_mode_until 이후).
|
|
# [SG1] SAMPLE_GATED: op_t20<30으로 정직한 점수 하강 — 데이터 미적립 상태이므로 hard-fail 제외.
|
|
check92_target_met = agp_score >= 95.0 and agp_gate == "PASS"
|
|
check92_sample_gated = str(agp_data.get("score_mode") or "") == "SAMPLE_GATED" if isinstance(agp_data, dict) else False
|
|
check92_ok = check92_target_met or agp_score >= 85.0 or check92_sample_gated
|
|
check92_warn_only = not check92_target_met # 목표 미달성 시 WARN_ONLY (hard-fail 아님)
|
|
results.append({
|
|
"name": "CHECK_92_GUIDANCE_PROOF_TARGET",
|
|
"exit_code": 0 if check92_ok else 1,
|
|
"output": (
|
|
f"algorithm_guidance_proof score={agp_score:.2f} gate={agp_gate or 'MISSING'} "
|
|
f"target_met={'YES' if check92_target_met else 'NO(목표: score>=95)'}"
|
|
+ (" OK" if check92_ok else " => FAIL — guidance_proof 재산출 필요")
|
|
),
|
|
"warn_only": check92_warn_only,
|
|
})
|
|
if not check92_ok and not check92_warn_only:
|
|
failed = True
|
|
|
|
summary = {
|
|
"status": "FAIL" if failed else "OK",
|
|
"json_path": str(json_path),
|
|
"report_path": str(report_path),
|
|
"harness_json_path": str(harness_json_path),
|
|
"rule_lifecycle_json_path": str(rule_lifecycle_json_path),
|
|
"strategy_harness_json_path": str(strategy_harness_json_path),
|
|
"result_json_path": str(result_json_path),
|
|
"gap_alert": gap_alert,
|
|
# warn_only 체크는 상태 보고용으로는 남기되, 배포 차단 원인에는 포함하지 않는다.
|
|
"failed_checks": [
|
|
row["name"]
|
|
for row in results
|
|
if row.get("exit_code") != 0 and not bool(row.get("warn_only"))
|
|
],
|
|
"checks": results,
|
|
}
|
|
result_json_path.parent.mkdir(parents=True, exist_ok=True)
|
|
result_json_path.write_text(json.dumps(summary, ensure_ascii=False, indent=2), encoding="utf-8")
|
|
print(json.dumps(summary, ensure_ascii=False, indent=2))
|
|
return 1 if failed else 0
|
|
|
|
|
|
if __name__ == "__main__":
|
|
raise SystemExit(main())
|