eomsangdonandClaude Opus 5.5
4ff96a6771
- A 코드 = COSTA · S_JDA 참 = 저장 단가 · 거짓 = AAMTn 노무비율 나눔 · ACTTYP·ACTOPT = PRJLST · calcBoq·api_load 연결 - EXRNM 참 = S 줄만 단가×율/1000 · ECD 자리 버림 · 천원 · 전각 ＄ - 손료 계수 반올림 = 첫 버림 자리 5 이상 올림 - 적용기준 국가 2·지방 0·행자부 1 · 행자부 RATE_M 조회 rateMLookup - 지식DB 36번 Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
73 lines
2.9 KiB
Python
73 lines
2.9 KiB
Python
"""STMATE 재현 앱 계산 도구 — 노무·장비 수량 계산기(wM_Edit_XRate) · 실적→일식 비목율(wM_Conv_A2W).
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근거: REA 30 labor_equipment_quantity_rules.json · REA 27 conversion_component_rate_rules.json — 손셈 대조.
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수량 계산기 반올림 = MROUNDUD 선택 1(사사오입 · REA 32 §1.1) — 경계 값은 test_stmate_xrate_round.
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"""
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import json
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import subprocess
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from pathlib import Path
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HELPER = Path(__file__).with_name("helper_stmate_smt_tools.cjs")
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def call(*calls):
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payload = [{"fn": f, "args": list(a)} for f, *a in calls]
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out = subprocess.check_output(
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["node", str(HELPER)], input=json.dumps(payload), text=True, encoding="utf-8"
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)
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return json.loads(out)
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def test_xrate_daily_and_applied_quantity():
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lab, eq, zero = call(
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(
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"compute",
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{"qty1": 120, "cond": "0.9*1.1", "hrat": 80, "lqty": 3, "labor": True, "point": 4},
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),
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(
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"compute",
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{"qty1": 120, "cond": "", "hrat": 100, "lqty": 1, "labor": False, "auto": True},
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),
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("compute", {"qty1": 0, "cond": "", "hrat": 100, "lqty": 2, "labor": True, "point": 3}),
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)
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# 120 × 0.99 × 80% = 95.04 · 노무 3 × 1 ÷ 95.04 = 0.031565… → 4 자리 0.0316
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assert lab["qday"] == 95.04 and lab["cqty"] == 0.0316 and abs(lab["cond"] - 0.99) < 1e-12
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# 장비 1 × 8 ÷ 120 = 0.0666… · 자동 자리 = 「120」 3자리 + 1 = 4 → 0.0667
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assert eq["point"] == 4 and eq["cqty"] == 0.0667
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assert zero["qday"] == 0 and zero["cqty"] == 0
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def test_xrate_auto_point_and_condition_chars():
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p1, p2, p3, bad, paren, power = call(
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("autoPoint", 5.5),
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("autoPoint", 123456.0),
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("autoPoint", 1234),
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("condFactor", "0.9 * a"),
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("condFactor", "(1+2)"),
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("condFactor", "2^3/4"),
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)
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assert (p1, p2, p3) == (2, 6, 5)
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assert not bad["ok"] and not paren["ok"] and bad["value"] == 1
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assert power == {"ok": True, "value": 2}
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def test_a2w_editor_row_and_bulk():
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e1, e2, e3, r1, r2 = call(
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("normalizeEditor", 70, 50, "L"),
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("normalizeEditor", 70, 50, "M"),
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("normalizeEditor", 130, 0, "L"),
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("normalizeRow", 70, 50, 10),
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("normalizeRow", 70, 50, 9),
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)
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assert e1 == {"L": 70, "M": 30, "E": 0} and e2 == {"L": 50, "M": 50, "E": 0}
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assert e3 == {"L": 100, "M": 0, "E": 0}
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assert r1 == {"L": 50, "M": 50, "E": 0} and r2 == {"L": 70, "M": 30, "E": 0}
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rows = [{"sel": True, "rateL": 0}, {"sel": True, "rateL": 80}, {"sel": False, "L": 5}]
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plain, indiv = call(
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("bulkApply", rows, {"L": 40, "M": 30}, {}),
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("bulkApply", rows, {"L": 40, "M": 30}, {"individual": True}),
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)
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assert [(r["L"], r["M"], r["E"]) for r in plain] == [(40, 30, 30), (40, 30, 30), (0, 0, 0)]
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assert [(r["L"], r["M"], r["E"]) for r in indiv] == [(40, 30, 30), (80, 20, 0), (0, 0, 0)]
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