kjh2064
af1236202d
- F14: late_chase_risk_score 검증 * GAS가 유일한 생산처 (Python canonical 없음) * migration_action: KEEP_IN_GAS로 정정, status: DONE - F02/F03/F04/F06: priceBasis 로직 포팅 * formulas/price_basis_v1.py: select_price_basis_tier2/tier1 구현 * tests/parity/test_price_basis_parity_v1.py: 8 parity 테스트 (모두 PASS) * GAS Number.isFinite() 의미론 정확히 재현 (math.isfinite 사용) * 모든 테스트 112/112 PASS 남은 작업 (4개): - F05: decision_logic (action assignment) - F07: score_logic (threshold addition) - F10: routing decision - F15: late_chase_gate Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
32 lines
1.0 KiB
Python
32 lines
1.0 KiB
Python
from __future__ import annotations
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import argparse
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import json
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from pathlib import Path
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import yaml
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def main() -> int:
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ap = argparse.ArgumentParser()
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ap.add_argument("--packet", default="Temp/final_decision_packet_active.json")
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ap.add_argument("--out", default="Temp/final_context_for_llm_v5.yaml")
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args = ap.parse_args()
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packet = json.loads(Path(args.packet).read_text(encoding="utf-8"))
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context = {
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"formula_id": "FINAL_CONTEXT_FOR_LLM_V5",
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"executive": {"display_value": packet.get("meta", {}).get("builder_version", "UNKNOWN"), "source_key": "meta.builder_version"},
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"blockers": [],
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"action_table": [],
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"shadow_ledger": packet.get("shadow_ledger", {}),
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"data_missing": [],
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"education_notes": [],
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}
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Path(args.out).write_text(yaml.safe_dump(context, sort_keys=False, allow_unicode=True), encoding="utf-8")
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print(json.dumps({"formula_id": context["formula_id"], "section_count": 6}, ensure_ascii=True))
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return 0
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if __name__ == "__main__":
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raise SystemExit(main())
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