df16c98366
공공기관2 작업 중. _temp 몽타주(재생성가능)는 제외. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
36 lines
1.8 KiB
Python
36 lines
1.8 KiB
Python
# -*- coding: utf-8 -*-
|
||
# 청양 175+ N 이미지 적용: 몽타주판정 ∪ 백업(cy2) 이미지라벨. 영상/오디오 보존. 사이트/없음 제외.
|
||
import openpyxl, io, sys
|
||
from collections import Counter
|
||
sys.stdout=io.TextIOWrapper(sys.stdout.buffer,encoding='utf-8')
|
||
F=r'D:\01.프로젝트\DB수집\작업파일\광역_사이트맵\충청남도\13.청양군\충청남도_청양군.xlsx'
|
||
BK=r'D:\01.프로젝트\DB수집\작업파일\광역_사이트맵\충청남도\13.청양군\충청남도_청양군_backup_LMNO재수집전.xlsx'
|
||
# 몽타주 이미지 판정(현재 행번호)
|
||
MONT={175,176,180,181,182,190, 194,195,196,201,202,215,
|
||
243,254,260,261,262,263,264,265,266, 267,275,281,282,283,291,292,294,297,298,
|
||
299,300,301,302,303,304,305,306,307,308,331,334, 343,353,392,410,413,414}
|
||
wb=openpyxl.load_workbook(F); ws=wb.active
|
||
def lab(ws,r): return str(ws.cell(r,8).value or ws.cell(r,7).value or ws.cell(r,6).value or ws.cell(r,5).value or '')
|
||
# 백업 이미지 라벨(175+)
|
||
wb2=openpyxl.load_workbook(BK); ws2=wb2.active
|
||
bklab=set()
|
||
for r in range(175,ws2.max_row+1):
|
||
if '이미지' in str(ws2.cell(r,14).value or ''): bklab.add(lab(ws2,r))
|
||
# 현재 행 중 라벨이 백업이미지인 행 ∪ 몽타주
|
||
imgrows=set(MONT)
|
||
for r in range(175,ws.max_row+1):
|
||
if lab(ws,r) in bklab: imgrows.add(r)
|
||
chg=0
|
||
for r in sorted(imgrows):
|
||
cur=str(ws.cell(r,14).value or '')
|
||
if cur in ('','없음'): continue # 사이트/빈게시판 제외
|
||
if '이미지' in cur: continue
|
||
extra=[]
|
||
if '영상' in cur: extra.append('영상')
|
||
if '오디오' in cur: extra.append('오디오')
|
||
ws.cell(r,14).value='어문,이미지'+(','+','.join(extra) if extra else '')
|
||
chg+=1
|
||
wb.save(F)
|
||
print('이미지 적용',chg,'| 대상행',len(imgrows))
|
||
print('N분포',dict(Counter(ws.cell(r,14).value for r in range(175,ws.max_row+1))))
|