- 공공기관2/3 작업본 + 오늘 제출 17곳 D~J 카테고리 셀병합 정상화 - 한국지역난방공사 옵션2(고아셀 F98 수정)+전행 높이17 - 제출_프리랜서2_2026-06-21.zip 생성(17개 xlsx, 2,468행) Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
47 lines
1.8 KiB
Python
47 lines
1.8 KiB
Python
# -*- coding: utf-8 -*-
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import openpyxl, io
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from collections import defaultdict
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wb=openpyxl.load_workbook("한국지역난방공사.xlsx")
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ws=wb.active
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out=io.open("_dupscan2_out.txt","w",encoding="utf-8")
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def w(*a): out.write(" ".join(str(x) for x in a)+"\n")
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rows=[]
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for r in range(3, ws.max_row+1):
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B=ws.cell(r,2).value
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d=[ws.cell(r,c).value for c in range(4,11)]
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K=ws.cell(r,11).value
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L=ws.cell(r,12).value; M=ws.cell(r,13).value; N=ws.cell(r,14).value
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leaf=""
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for v in d:
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if v not in (None,""): leaf=str(v).strip()
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rows.append(dict(r=r,B=B,d=d,K=K,L=L,M=M,N=N,leaf=leaf,
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path=" > ".join(str(x).strip() for x in d if x not in (None,""))))
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# duplicate by full path (labels only, ignore K)
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byPath=defaultdict(list)
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for x in rows: byPath[x["path"]].append(x)
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w("=== same full label path (ignore URL) ===")
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for p,xs in byPath.items():
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if len(xs)>1:
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for x in xs: w(" row",x["r"],"B="+str(x["B"]),"L="+str(x["L"]),"M="+str(x["M"]),"K="+str(x["K"]))
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w(" PATH:",p,"\n")
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# duplicate by leaf label + same L + same M (likely true dup)
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byLeaf=defaultdict(list)
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for x in rows: byLeaf[(x["leaf"],str(x["L"]),str(x["M"]))].append(x)
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w("=== same (leaf + L + M) ===")
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for k,xs in byLeaf.items():
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if len(xs)>1:
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for x in xs: w(" row",x["r"],"B="+str(x["B"]),"path="+x["path"],"K="+str(x["K"]))
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w(" ---",k,"\n")
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# parent-child URL equal (1-5): consecutive rows, parent path is prefix and same K
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w("=== parent row whose K equals a child's K (1-5 candidate) ===")
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byK=defaultdict(list)
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for x in rows:
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if x["K"]: byK[str(x["K"]).strip()].append(x)
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# already none. check normalized (strip trailing params after menuNo?)
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w("(identical K groups:", sum(1 for v in byK.values() if len(v)>1),")")
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out.close()
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print("done")
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