# -*- coding: utf-8 -*- """기계 원천 벌 뽑기 — 건설 품셈 제8장 md → `mach_base_2026.json` (2026-09-18 브레인). 왜 — 코덱스가 8장 md 를 손질(뭉친 표 되살리기 · 8-4 운전경비 92종 전사)했는데 자료가 앞 판 그대로였음. 품셈 벌(`_build_pum.py`)과 같은 병 — 뽑는 길이 저장소에 없어 md 가 고쳐져도 자료로 못 내려옴. 무엇을 하나 - ⚠ **줄 번호로 안 잡음.** 자리는 **기계 코드**(`5401-0015`)로 잡고, 절은 글(`8-3 기계손료` …)로 찾음. - 8-5 기계가격 → 취득가 · 8-3 기계손료 → 손료 계수 · 8-4 운전경비 → 주연료·잡재료·조종원. - 한 칸에 코드가 여럿인 줄(`0101-0007 0010 0012`)은 **토막 수가 맞을 때만** 읽고, 안 맞으면 `parse_audit` 에 적음(지어내지 않음). 8-4 원표는 `source_tables` 로 통째로 실어 둠. - 이름은 `(0101) 불도저(무한궤도)` 꼴 머리글 · 가격표 `기 종` 칸 · 연료표 `기계명` 칸에서. - **사람 판단·원문에 없는 칸은 옛 벌에서 이어받음** — 조종원 배정(121) · 암석 보정 · 붙임글 · 손으로 맞춘 연료 줄(`parse_method`)과 손질 사유(`note`). 이어받은 것은 알림에 수로 뜸. 돌리기: `./venv/Scripts/python.exe resources/data_cost_input_value/_build_mach.py [--check]` `--check` — 쓰지 않고 달라질 것만 알림 · 달라지면 끝 코드 1. ⚠ 금액 불변 — 기계경비는 뿌리라 움직이면 크게 움직임. 뽑은 뒤 `test_work_item_key_gate.py` 원가계산서 시험(직접공사비 5,983,724)을 돌릴 것. """ from __future__ import annotations import json import re import sys from datetime import datetime, timedelta, timezone from pathlib import Path ROOT = Path(__file__).resolve().parents[2] TARGET = ROOT / "resources/data_cost_input_value/mach_base_2026.json" #: 절 — 글로 찾음(줄 번호 아님). MARKS = ("8-3 기계손료", "8-4 운전경비", "8-5 기계가격") _SEP = re.compile(r"\s*\|(\s*:?-+:?\s*\|)+\s*") _CODE = re.compile(r"\d{4}-\d{4}") _NAME_AT = re.compile( r"\((\d{4})\)\s*([^()]*(?:\([^)]*\)[^()]*)*?)(?=\(\d{4}\)|\('\d\d|시\s*간\s*당|$)" ) #: 손료표 칸 — 머리글(공백 지운 것)에 이 글이 들어 있으면 그 칸. LOSS_COLS = { "economic_life_hours": "내용", "annual_standard_hours": "연간표준", "depreciation_ratio": "상각비율", "maintenance_ratio": "정비비율", "annual_management_ratio": "관리비율", } LOSS_COEF = ( "depreciation_coefficient_1e_minus_7", "maintenance_coefficient_1e_minus_7", "management_coefficient_1e_minus_7", "source_coefficient_1e_minus_7", ) FUEL_COLS = { "fuel_rate_l_per_hour": "주연료", "misc_material_percent_of_fuel": "잡재료", "operator_person_per_day": "조종원", } def _t(text: str) -> str: return re.sub(r"\s+", "", str(text)) def _cells(line: str) -> list[str]: s = line.strip() s = s[1:-1] if s.endswith("|") else s[1:] return [c.strip() for c in s.split("|")] def md_tables(lines: list[str]) -> list[dict]: tables, i = [], 0 while i < len(lines): if ( lines[i].lstrip().startswith("|") and i + 1 < len(lines) and _SEP.fullmatch(lines[i + 1]) ): j = i + 2 while j < len(lines) and lines[j].lstrip().startswith("|"): j += 1 tables.append( { "line": i + 1, "headers": _cells(lines[i]), "rows": [_cells(x) for x in lines[i + 2 : j]], } ) i = j else: i += 1 return tables def _num(text: str) -> float | int | None: t = _t(text).replace(",", "").rstrip("%") t = re.sub(r"^[^\d.]*", "", t) # `휘발유0.7` · `약1.2` if not re.fullmatch(r"\d+(\.\d+)?", t): return None return float(t) if "." in t else int(t) def codes_in(cell: str, prefix: str | None) -> tuple[list[str], str | None]: """`0101-0007 0010` → `['0101-0007','0101-0010']`. 앞자리는 이어짐. 코드가 없으면 빈 목록.""" out = [] for token in cell.split(): if _CODE.fullmatch(token): prefix = token[:4] out.append(token) elif re.fullmatch(r"\d{4}-", token): # `9020- 0010 0015` — 앞자리만 먼저 적은 줄 prefix = token[:4] elif re.fullmatch(r"-?\d{4}", token) and prefix: # `0010` · `-0184` out.append(f"{prefix}-{token.lstrip('-')}") else: return [], prefix return out, prefix def names_in(lines: list[str]) -> dict[str, str]: """`(0101) 불도저(무한궤도)` 머리글 → {앞자리: 이름}. 먼저 나온 것을 씀.""" found: dict[str, str] = {} for line in lines: if line.lstrip().startswith("|"): continue for m in _NAME_AT.finditer(line): name = m.group(2).strip(" .·") if name and not name[0].isdigit(): found.setdefault(m.group(1), re.sub(r"\s+", " ", name)) return found def split_values(cell: str, count: int) -> list[str] | None: """칸 하나에 값이 여럿(`9.0 12.5 14.6`) — 토막 수가 맞을 때만. ⚠ 코드가 하나인 줄은 **칸 통째로** 한 값(`320~ 400` 처럼 값 안에 공백이 있음). """ if count == 1: return [cell.strip()] parts = cell.split() if len(parts) == count: return parts # 값 안에 공백이 있는 규격 칸 — `전기식 …ø45(0.75㎾) 엔진식 …ø45(2.6㎾)` 은 닫는 괄호로 가름 chunks = [x.strip() for x in re.split(r"(?<=\))\s+", cell.strip()) if x.strip()] return chunks if len(chunks) == count else None def parse_price(tables: list[dict], names: dict[str, str]) -> tuple[list[dict], list[dict]]: records, bad, prefix = [], [], None for t in tables: if [_t(h) for h in t["headers"][:3]] != ["기종", "분류번호", "가격(₩)"]: continue for row in t["rows"]: codes, prefix = codes_in(row[1], prefix) prices = row[2].split() if not codes or len(codes) != len(prices): bad.append({"what": row[1][:60], "codes": len(codes), "values": len(prices)}) continue for code, price in zip(codes, prices): records.append({"machine_code": code, "machine_name": names.get(code[:4], ""), "price_thousand_krw": _num(price)}) # fmt: skip return records, bad def parse_loss(tables: list[dict], names: dict[str, str]) -> tuple[list[dict], list[dict]]: records, bad, prefix = [], [], None for t in tables: head = [_t(h) for h in t["headers"]] if not head or "분류번호" not in head[0]: continue cols = {field: next((i for i, h in enumerate(head) if word in h), None) for field, word in LOSS_COLS.items()} # fmt: skip sub = next((r for r in t["rows"] if not _t(r[0])), []) if "상각비계수" in [_t(c) for c in sub]: first = [_t(c) for c in sub].index("상각비계수") coef = dict(zip(LOSS_COEF, range(first, first + 4))) elif (only := next((i for i, h in enumerate(head) if "시간당" in h), None)) is not None: coef = {LOSS_COEF[3]: only} else: bad.append({"what": f"손료표 계수 칸 없음 — {t['headers']}"}) continue # 규격 칸 — 분류번호와 첫 값 칸 사이. 둘·셋이면(5202·5203) 첫 칸만 규격으로 봄 after = min( [i for i in list(cols.values()) + list(coef.values()) if i is not None], default=1 ) spec_col = 1 if after > 1 else None for row in t["rows"]: if not _t(row[0]): continue codes, prefix = codes_in(row[0], prefix) values = {} ok = bool(codes) for field, index in {**cols, **coef}.items(): if index is None or index >= len(row): continue parts = split_values(row[index], len(codes)) if codes else None if parts is None: ok = False break values[field] = [_num(p) for p in parts] specs = split_values(row[spec_col], len(codes)) if (ok and spec_col is not None and spec_col < len(row)) else None # fmt: skip if not ok or LOSS_COEF[3] not in values: bad.append({"what": row[0][:40], "codes": len(codes)}) continue for n, code in enumerate(codes): record = {"machine_code": code, "machine_name": names.get(code[:4], "")} if specs and _t(specs[n]) not in ("", "-"): record["specification"] = specs[n].strip() total = values[LOSS_COEF[3]][n] record["loss_coefficient_per_hour"] = None if total is None else total * 1e-7 for field in (*LOSS_COEF, *LOSS_COLS): if values.get(field, [None])[n] is not None: record[field] = values[field][n] records.append(record) return records, bad def sections_by_line(lines: list[str], mark: str) -> dict[int, str]: """줄 번호 → 그 줄 위에서 마지막으로 본 절 제목(`8-4-3 [20]운반 및 하역기계`). ⚠ 제목이 쪽 번호와 붙어 있어(`278공통부문8-4-3 …`) **절 번호부터** 끊어 씀. 제목이 없는 동안은 앞 제목을 이어 씀 — 해상기계처럼 기종 머리글만 잇달아 나오는 자리가 있음. """ found, current = {}, "" for index, text in enumerate(lines, 1): if not text.lstrip().startswith("|"): if m := re.search(rf"{mark}(?:-\d+)?(?=[\s\[(가-힣])", text): current = text[m.start() :].strip() found[index] = current return found def parse_fuel( sections: dict[int, str], tables: list[dict], names: dict[str, str] ) -> tuple[list[dict], list[dict], list[dict], list[dict]]: records, bad, source_tables, skipped, prefix = [], [], [], [], None for t in tables: head = [_t(h) for h in t["headers"]] source_tables.append({"section": sections.get(t["line"], ""), "line": t["line"], "headers": t["headers"], "rows": t["rows"]}) # fmt: skip if not head or "분류번호" not in head[0]: continue cols = {field: next((i for i, h in enumerate(head) if word in h), None) for field, word in FUEL_COLS.items()} # fmt: skip spec_col = next((i for i, h in enumerate(head) if "규격" in h), None) for row in t["rows"]: codes, prefix = codes_in(row[0], prefix) values, ok = {}, bool(codes) for field, index in cols.items(): if index is None or index >= len(row): continue parts = split_values(row[index], len(codes)) if parts is None: ok = False break values[field] = parts if not ok or "fuel_rate_l_per_hour" not in values: bad.append({"what": row[0][:40], "codes": len(codes)}) continue specs = split_values(row[spec_col], len(codes)) if spec_col is not None and spec_col < len(row) else None # fmt: skip for n, code in enumerate(codes): raw = values["fuel_rate_l_per_hour"][n] if _num(raw) is None: # ⚠ 주연료가 수가 아닌 기종(전기 `㎾` · `-`)은 **연료 목록에 안 실음** — ℓ/hr 자료임. skipped.append({"machine_code": code, "what": raw.strip()[:20]}) continue record = { "machine_code": code, "machine_name": names.get(code[:4], ""), "fuel_type": "gasoline" if re.search(r"휘발유|가솔린", raw) else "diesel", "fuel_rate_l_per_hour": _num(raw), } for field in ("misc_material_percent_of_fuel", "operator_person_per_day"): value = _num(values[field][n]) if field in values else None if value is not None: record[field] = value if specs and _t(specs[n]) not in ("", "-"): record["specification"] = specs[n].strip() records.append(record) return records, bad, source_tables, skipped def extract(old_doc: dict, data: bytes) -> tuple[dict, dict]: """옛 벌 + 8장 md → (새 벌, 알림). 사람 판단 칸은 옛 벌에서 이어받음.""" lines = data.decode("utf-8").splitlines() at = {mark: next(i for i, x in enumerate(lines) if mark in x) for mark in MARKS} tables = md_tables(lines) zone = lambda a, b: [t for t in tables if at[a] < t["line"] <= (at[b] if b else len(lines))] # noqa: E731 names = names_in(lines) price, bad_price = parse_price(zone("8-5 기계가격", None), names) loss, bad_loss = parse_loss(zone("8-3 기계손료", "8-4 운전경비"), names) fuel, bad_fuel, source_tables, no_fuel = parse_fuel( sections_by_line(lines, "8-4"), zone("8-4 운전경비", "8-5 기계가격"), names ) old = old_doc["variables"] carried = {"fuel": 0, "note": 0, "specification": 0, "machine_name": 0} # 원문에서 못 읽은 줄은 옛 벌 값을 이어받음(손으로 맞춘 줄 · 손질 사유 · 규격) old_fuel = {r["machine_code"]: r for r in old["mach_fuel_rate"]["parsed_records"]} got = {r["machine_code"] for r in fuel} for code, record in old_fuel.items(): if code not in got: fuel.append(record) carried["fuel"] += 1 fuel.sort(key=lambda r: r["machine_code"]) # 가격표엔 규격 칸이 없음 — 같은 코드의 손료표 규격을 씀. 연료표 규격도 손료표 것이 먼저 # (`7ton` · `0.12㎥` 처럼 단위가 붙어 있어 갈래가 갈림). loss_spec = {r["machine_code"]: r.get("specification") for r in loss} for record in price + fuel: if loss_spec.get(record["machine_code"]): record["specification"] = loss_spec[record["machine_code"]] for records, key, field in ((loss, "mach_loss_coef", "records"), (price, "mach_price", "records"), (fuel, "mach_fuel_rate", "parsed_records")): # fmt: skip old_by_code = {r["machine_code"]: r for r in old[key][field]} for record in records: was = old_by_code.get(record["machine_code"], {}) if not record.get("machine_name") and was.get("machine_name"): record["machine_name"] = was["machine_name"] # 머리글이 없는 기종(8202~8204) carried["machine_name"] = carried.get("machine_name", 0) + 1 if "note" in was: record["note"] = was["note"] carried["note"] += 1 if not record.get("specification") and was.get("specification"): record["specification"] = was["specification"] carried["specification"] += 1 doc = { **old_doc, "sources": [ {**s, "sha256": __import__("hashlib").sha256(data).hexdigest()} for s in old_doc["sources"] ], "variables": { **old, "mach_price": {**old["mach_price"], "records": price}, "mach_loss_coef": {**old["mach_loss_coef"], "records": loss}, "mach_fuel_rate": { **old["mach_fuel_rate"], "parsed_records": fuel, "source_tables": source_tables, }, }, # ⚠ 자세한 줄은 **알림에 찍음** — 자료엔 셈만 둠(이름표가 표로 잡지 않게). "parse_audit": { "unparsed_price_rows": len(bad_price), "unparsed_loss_rows": len(bad_loss), "unparsed_fuel_rows": len(bad_fuel), "fuel_not_litre_rows": len(no_fuel), }, } report = { "price": len(price), "loss": len(loss), "fuel": len(fuel), "carried": carried, "unparsed": {"price": len(bad_price), "loss": len(bad_loss), "fuel": len(bad_fuel)}, "unparsed_rows": {"price": bad_price, "loss": bad_loss, "fuel": bad_fuel}, "주연료가 수가 아님": len(no_fuel), } # fmt: skip if doc != old_doc: doc["generated_at"] = datetime.now(timezone(timedelta(hours=9))).isoformat( timespec="seconds" ) return doc, report def diff_report(old_doc: dict, doc: dict) -> dict: """옛 벌 ↔ 새 벌 — 갈래마다 새 코드 · 사라진 코드 · 값이 달라진 코드.""" out = {} for key, field in ( ("mach_price", "records"), ("mach_loss_coef", "records"), ("mach_fuel_rate", "parsed_records"), ): old = {r["machine_code"]: r for r in old_doc["variables"][key][field]} new = {r["machine_code"]: r for r in doc["variables"][key][field]} changed = { code: { k: (old[code].get(k), new[code].get(k)) for k in set(old[code]) | set(new[code]) if old[code].get(k) != new[code].get(k) } for code in sorted(set(old) & set(new)) if old[code] != new[code] } out[key] = { "새 코드": sorted(set(new) - set(old)), "사라진 코드": sorted(set(old) - set(new)), "값 바뀐 코드": changed, } return out def main(check: bool) -> int: old_doc = json.loads(TARGET.read_text(encoding="utf-8")) data = (ROOT / old_doc["sources"][0]["path"]).read_bytes() doc, report = extract(old_doc, data) changed = doc != old_doc diff = diff_report(old_doc, doc) print(f"── mach_base: 가격 {report['price']} · 손료 {report['loss']} · 연료 {report['fuel']}") print( f" 못 읽은 줄 {report['unparsed']} · 주연료가 수가 아닌 기종 {report['주연료가 수가 아님']}" ) print(f" 옛 벌에서 이어받음 {report['carried']}") for kind, rows in report["unparsed_rows"].items(): for row in rows: print(f" 못 읽음({kind}): {json.dumps(row, ensure_ascii=False)}") for key, item in diff.items(): name_changed = sum(1 for v in item["값 바뀐 코드"].values() if set(v) == {"machine_name"}) print( f" {key}: 새 {len(item['새 코드'])} · 사라짐 {len(item['사라진 코드'])} · " f"값 바뀜 {len(item['값 바뀐 코드'])}(이름만 {name_changed})" ) if changed and not check: TARGET.write_text(json.dumps(doc, ensure_ascii=False, indent=1) + "\n", encoding="utf-8") return 1 if (check and changed) else 0 if __name__ == "__main__": sys.exit(main("--check" in sys.argv))