From 6c2f363316cc8021fb7c11f65b25086a4c35822f Mon Sep 17 00:00:00 2001 From: chenmomoya <98108568+chenmomoya@users.noreply.github.com> Date: Mon, 11 Dec 2023 20:16:01 +0800 Subject: [PATCH] Add files via upload --- ...PPT\345\210\266\344\275\234V1.1.2-1211.py" | 1239 +++++++++++++++++ ...\344\277\256\346\224\271\357\274\211.xlsx" | Bin 0 -> 11911 bytes 2 files changed, 1239 insertions(+) create mode 100644 "\345\205\263\350\212\202\347\247\221PPT\345\210\266\344\275\234V1.1.2-1211.py" create mode 100644 "\345\272\212\344\275\215\345\210\206\351\205\215\357\274\210\345\246\202\346\236\234\345\210\206\347\273\204\345\217\230\345\212\250\350\257\267\344\277\256\346\224\271\357\274\211.xlsx" diff --git "a/\345\205\263\350\212\202\347\247\221PPT\345\210\266\344\275\234V1.1.2-1211.py" "b/\345\205\263\350\212\202\347\247\221PPT\345\210\266\344\275\234V1.1.2-1211.py" new file mode 100644 index 0000000..ecb5c68 --- /dev/null +++ "b/\345\205\263\350\212\202\347\247\221PPT\345\210\266\344\275\234V1.1.2-1211.py" @@ -0,0 +1,1239 @@ +import tkinter as tk +from tkinter import messagebox +from tkinter import filedialog +from tkinter import ttk +import tkinter.font + +import sys +import os +from fnmatch import fnmatch + +from pathlib import Path + +import pandas as pd +from pandas import Series,DataFrame + +import random + +import pptx +from pptx import Presentation +from pptx.util import Cm, Pt +from pptx.enum.text import MSO_ANCHOR, MSO_AUTO_SIZE, PP_ALIGN +from pptx.dml.color import RGBColor + +from PIL import Image, ImageTk + +from win32com.client import Dispatch +import win32com.client + +#import shutil +import time + + +###########更新版本记得改版本号和时间！ +version='1.1.1' +versiontime='2023-10-21' + + +class Impor(): ##导入和信息转换部分 + def __init__(self,master) : + def xlsxpath(): + global Folderpath + Folderpath = filedialog.askdirectory() + for root, dirs, files in os.walk(Folderpath): + for file in files: + pa = root+'/'+file #pa = os.path.join(root, file) + if fnmatch(pa, "*.xlsx") and not '$' in pa: + return(pa, messagebox.askquestion('确认操作','找到手术excel表：'+file+',是否继续？')) #函数里return后的语句不再执行 + + def imp(): ##import + pa,flag=xlsxpath() + if not flag: + return 0 + df = pd.read_excel(pa, usecols=[4, 5, 6, 7, 8, 10, 11, 13, 14, 18], dtype={"登记号": object,'床号': str},skiprows=[0,1],engine='openpyxl') + df["row"]="" + df["左右"]="" + df1 = pd.DataFrame(columns = df.columns.tolist()) + df2 = pd.DataFrame(columns = df.columns.tolist()) + df3 = pd.DataFrame(columns = df.columns.tolist()) + df4 = pd.DataFrame(columns = df.columns.tolist()) + + df['床号']=df['床号'].str.replace('床','') + df['性别']=df['性别'].str.replace('男','male').replace('女','female') + df['年龄']=df['年龄'].str.replace('岁','ys').replace('月','ms') + df['左右']=df['部位'].str.split('').str[1].replace('左','L-').replace('右','R-').replace('双','B-') + for i in range(0,len(df['术者'])): + if '黄威' in ''.join(df.loc[i,'术者']): + df.loc[i,'术者']='黄威' + else: + df.loc[i,'术者']=(df.loc[i,'术者']).split(',')[0] + #print(df.loc[i,'术者']) + df['病人病区']=df['病人病区'].str.replace('骨科一病区','').str.replace('骨科三病区','17F') + df['床号']=df['病人病区']+df['床号'] + #print(df) + + i = 0 + #dignosis error + ed1 = 0 #李守民 + ed2 = 0 #史国光 + ed3 = 0 #朱晨 + ed4 = 0 #黄威 + #surgery error + es1 = 0 + es2 = 0 + es3 = 0 + es4 = 0 + #术者计数器 + i1 = -1 + i2 = -1 + i3 = -1 + i4 = -1 + + for ind, row in df.iterrows(): + ##诊断 + if '股骨颈骨折' in df.loc[i,'诊断']: + df.loc[i,'诊断']='FNF' + + elif '股骨粗隆间骨折' in df.loc[i,'诊断']: + df.loc[i,'诊断']='Intertrochanteric fracture' + + elif '股骨头' in df.loc[i,'诊断'] and '坏死' in df.loc[i,'诊断']: + df.loc[i,'诊断']='ONFH' + + elif '假体障碍' in df.loc[i,'诊断']: + df.loc[i,'诊断']='PJD' + + elif '假体植入感染' in df.loc[i,'诊断']: + df.loc[i,'诊断']='PJI' + + elif '膝关节置换术后疼痛' in df.loc[i,'诊断']: + df.loc[i,'诊断']='Periprosthetic Joint Pain' + + elif '髋关节病' in df.loc[i,'诊断']: + df.loc[i,'诊断']='ONFH' #warning + df.loc[i,'部位']='hip' + + elif '髋关节结核' in df.loc[i,'诊断']: + df.loc[i,'诊断']='Coxotuberculosis' + df.loc[i,'部位']='hip' + + elif '膝关节病' in df.loc[i,'诊断'] or '膝骨关节' in df.loc[i,'诊断']: + df.loc[i,'诊断']='knee OA' #warning + df.loc[i,'部位']='knee' + + elif '僵硬' in df.loc[i,'诊断'] or '强硬' in df.loc[i,'诊断']: + if '肘' in df.loc[i,'诊断']: + df.loc[i,'诊断']='Elbow Stiffness' + if '膝' in df.loc[i,'诊断']: + df.loc[i,'诊断']='Knee Stiffness' + + elif '肘管综合征' in df.loc[i,'诊断']: + df.loc[i,'诊断']='Cubital Tunnel Syndrome' + + elif '肘关节病' in df.loc[i,'诊断'] or '肘关节关节病' in df.loc[i,'诊断']: + df.loc[i,'诊断']='Elbow OA' #warning + + elif '囊肿' in df.loc[i,'诊断']: + if '腘窝' in df.loc[i,'诊断']: + df.loc[i,'诊断']='Popliteal Cyst' + elif '肘关节' in df.loc[i,'诊断']: + df.loc[i,'诊断']='Elbow joint Cyst' + df.loc[i,'部位']='Elbow' #肘关节囊肿术名为上肢软组织切除术，提前确认 + df.loc[i,'row'] = 98 + elif '膝关节' in df.loc[i,'诊断']: + df.loc[i,'诊断']='Knee Cyst' + df.loc[i,'部位']='Knee' + df.loc[i,'row'] = 298 + + elif '肿物' in df.loc[i,'诊断']: + if '骨肿物' in df.loc[i,'诊断']: + df.loc[i,'诊断']='Bone Mass' + elif '关节肿物' in df.loc[i,'诊断']: + df.loc[i,'诊断']='Joint Mass' + + elif '瘤' in df.loc[i,'诊断']: + if '骨样骨瘤' in df.loc[i,'诊断']: + df.loc[i,'诊断']='Osteoid Osteoma' + elif '骨软骨瘤' in df.loc[i,'诊断']: + df.loc[i,'诊断']='Osteochondroma' + elif '血管瘤' in df.loc[i,'诊断']: + df.loc[i,'诊断']='Angioma' + else: + df.loc[i,'诊断']='Tumor' + + elif '假体松动' in df.loc[i,'诊断']: + df.loc[i,'诊断']='prosthetic loosening' + + elif '类风湿关节炎' in df.loc[i,'诊断']: + df.loc[i,'诊断']='RA' + + elif '半月板疾患' in df.loc[i,'诊断'] or '半月板损伤' in df.loc[i,'诊断']: + df.loc[i,'诊断']='Meniscus injury' + df.loc[i,'部位']='knee' + df.loc[i,'row'] = 298 + + elif '髋骨关节炎' in df.loc[i,'诊断'] or '髋骨关节病' in df.loc[i,'诊断']: + df.loc[i,'诊断']='hip OA' + + elif '假体周围骨折' in df.loc[i,'诊断']: + df.loc[i,'诊断']='periprosthetic fracture' + + elif '先天性髋关节发育不良' in df.loc[i,'诊断'] or '先天性髋关节半脱位' in df.loc[i,'诊断']: + df.loc[i,'诊断']='DDH' + + elif '取除骨折内固定装置' in df.loc[i,'诊断'] or '取出内固定装置' in df.loc[i,'诊断']: + df.loc[i,'诊断']='internal fracture Removal' + + elif '骨折术后' in df.loc[i,'诊断']: + df.loc[i,'诊断']='After fracture operation' + + elif '骨折' in df.loc[i,'诊断']: + if '肘' in df.loc[i,'诊断']: + df.loc[i,'诊断']='elbow fracture' + elif '肱骨' in df.loc[i,'诊断']: + df.loc[i,'诊断']='humerus fracture' + elif '髌骨' in df.loc[i,'诊断']: + df.loc[i,'诊断']='patella fracture' + elif '股骨' in df.loc[i,'诊断']: + df.loc[i,'诊断']='femoral fracture' + + elif '畸形' in df.loc[i,'诊断']: + if '股骨' in df.loc[i,'诊断']: + df.loc[i,'诊断']='leg Deformity' + + elif '脱位' in df.loc[i,'诊断']: + if '髌骨' in df.loc[i,'诊断']: + df.loc[i,'诊断']='Patellar dislocation' + df.loc[i,'部位']='knee' #row在术式定，如关节镜 + elif '髋关节' in df.loc[i,'诊断']: + df.loc[i,'诊断']='hip dislocation' + + elif '盘状半月板' in df.loc[i,'诊断']: + df.loc[i,'诊断']='discoid meniscus' + df.loc[i,'部位']='knee' + + elif '血友病性关节炎' in df.loc[i,'诊断']: + df.loc[i,'诊断']='hemophilic arthritis' + + elif '纤维结构不良' in df.loc[i,'诊断']: + if '股骨' in df.loc[i,'诊断']: + df.loc[i,'诊断']='femur osteofibrous dysplasia' + df.loc[i,'row'] = 298 + else:df.loc[i,'诊断']='osteofibrous dysplasia' + + elif '术后感染' in df.loc[i,'诊断']: + if '膝' in df.loc[i,'诊断']: + df.loc[i,'部位']='knee' + df.loc[i,'诊断']='postoperative infection' + + elif '绒毛结节状滑膜炎' in df.loc[i,'诊断']: + df.loc[i,'诊断']='Villonodular synovitis' + + elif '膝滑囊炎' in df.loc[i,'诊断']: + df.loc[i,'诊断']='Knee bursitis' + df.loc[i,'部位']='knee' + + elif '肘骨关节病' in df.loc[i,'诊断']: + if '松解' in df.loc[i,'手术名称']: + df.loc[i,'诊断']='Elbow stiffness' #否则就不动，留着医生自行判断 + + elif '髌骨关节病' in df.loc[i,'诊断']: + if '脱位复位' in df.loc[i,'手术名称']: + df.loc[i,'诊断']='Patellar dislocation' + df.loc[i,'部位']='knee' + + elif '游离体' in df.loc[i,'诊断']: + if '膝关节' in df.loc[i,'诊断']: + df.loc[i,'诊断']='Knee loose body' + df.loc[i,'部位']='knee' + else: + df.loc[i,'诊断']='Loose body' + + elif '修整' in df.loc[i,'诊断']: + if '截肢残端' in df.loc[i,'诊断']: + df.loc[i,'诊断']='Amputation stump' + if '大腿' in df.loc[i,'部位']: + df.loc[i,'部位']='leg' + else: + df.loc[i,'诊断']='Loose body' + + elif '黄威' in df.loc[i,'术者']: #error + es4 += 1 + elif '李守民' in df.loc[i,'术者']: + es1 += 1 + elif '史国光' in df.loc[i,'术者']: + es2 += 1 + else: es3 += 1 + + ##手术 + if ('单髁' in df.loc[i,'手术名称'] or '固定平台' in df.loc[i,'手术名称']) and '膝关节' in df.loc[i,'手术名称'] : + if '固定平台' in df.loc[i,'手术名称']: + df.loc[i,'手术名称']='UKA(Fixation)' + df.loc[i,'部位']='knee' + df.loc[i,'row'] = 299 + else: + df.loc[i,'手术名称']='UKA' #UKA + df.loc[i,'部位']='knee' + df.loc[i,'row'] = 300 + + elif '髋关节置换' in df.loc[i,'手术名称'] or '全髋置换术' in df.loc[i,'手术名称']: + df.loc[i,'手术名称']='THA' #THA + df.loc[i,'部位']='hip' + df.loc[i,'row'] = 600 + + elif '全膝关节置换术' in df.loc[i,'手术名称']: + df.loc[i,'手术名称']='TKA' #TKA + df.loc[i,'部位']='knee' + df.loc[i,'row'] = 500 + + elif '股骨头置换术' in df.loc[i,'手术名称'] or '半髋置换术' in df.loc[i,'手术名称']: + df.loc[i,'手术名称']='Hemiarthroplasty' #Hemiarthroplasty + df.loc[i,'部位']='hip' + df.loc[i,'row'] = 598 + + elif '胫骨上端高位截骨术' in df.loc[i,'手术名称'] or '胫骨截骨术' in df.loc[i,'手术名称']: + df.loc[i,'手术名称']='HTO' #HTO + df.loc[i,'部位']='knee' + df.loc[i,'row'] = 200 + + elif '髌股关节表面置换术' in df.loc[i,'手术名称']: + df.loc[i,'手术名称']='PFJ' #PFJ + df.loc[i,'部位']='knee' + df.loc[i,'row'] = 199 + + elif '股骨下端截骨术' in df.loc[i,'手术名称']: + df.loc[i,'手术名称']='DFO' #其他截骨术 + df.loc[i,'部位']='knee' + df.loc[i,'row'] = 201 + + elif '关节镜' in df.loc[i,'手术名称']: + df.loc[i,'手术名称']='Arthroscopy' #Arthroscopy + df.loc[i,'row'] = 1 + if '半月板' in df.loc[i,'手术名称'] or '膝' in df.loc[i,'手术名称']: + df.loc[i,'部位']='knee' + + elif '翻修术' in df.loc[i,'手术名称']: + if '髋' in df.loc[i,'手术名称']: + df.loc[i,'手术名称']='Revision' #Revision+髋判断 + df.loc[i,'部位']='hip' + df.loc[i,'row'] = 698 + if '膝' in df.loc[i,'手术名称']: + df.loc[i,'手术名称']='Revision' + df.loc[i,'部位']='knee' + df.loc[i,'row'] = 550 + else: + df.loc[i,'手术名称']='Revision' + if '黄威' in df.loc[i,'术者']: #error + es4 += 1 + elif '李守民' in df.loc[i,'术者']: + es1 += 1 + elif '史国光' in df.loc[i,'术者']: + es2 += 1 + else: es3 += 1 + + elif '松解术' in df.loc[i,'手术名称']: + if '肘' in df.loc[i,'手术名称']: + df.loc[i,'手术名称']='Release' #Release + df.loc[i,'部位']='elbow' + df.loc[i,'row'] = 198 + elif '膝' in df.loc[i,'手术名称']: + df.loc[i,'手术名称']='Release' + df.loc[i,'部位']='knee' + df.loc[i,'row'] = 298.25 + else: + df.loc[i,'手术名称']='Release' + if '黄威' in df.loc[i,'术者']: #error + es4 += 1 + elif '李守民' in df.loc[i,'术者']: + es1 += 1 + elif '史国光' in df.loc[i,'术者']: + es2 += 1 + else: es3 += 1 + + elif '切除术' in df.loc[i,'手术名称'] or '截除' in df.loc[i,'手术名称']: + if '腘窝' in df.loc[i,'手术名称']: #Resection+腘窝囊肿/瘤段切除/肘关节囊肿/。。。 + df.loc[i,'部位']='Knee' + df.loc[i,'row'] = 298 + elif '髋' in df.loc[i,'部位'] or '坐骨' in df.loc[i,'部位'] or df.loc[i,'部位'] =='hip': + df.loc[i,'部位'] ='hip' + df.loc[i,'row'] = 596 + elif '腿' in df.loc[i,'部位'] or '股骨' in df.loc[i,'部位'] : + df.loc[i,'部位'] ='leg' + df.loc[i,'row'] = 298 + elif '手' in df.loc[i,'部位'] : + df.loc[i,'部位'] ='hand' + df.loc[i,'row'] = 90 + elif '膝' in df.loc[i,'部位'] or 'knee' in df.loc[i,'部位']: + df.loc[i,'部位'] ='knee' + df.loc[i,'row'] = 298 + elif '肘' in df.loc[i,'部位'] or df.loc[i,'部位'] == 'elbow': + df.loc[i,'部位'] ='elbow' + df.loc[i,'row'] = 98 + elif '肱' in df.loc[i,'部位'] or df.loc[i,'部位'] == 'arm': + df.loc[i,'部位'] ='arm' + df.loc[i,'row'] = 98 + elif '瘤段' in df.loc[i,'手术名称']: + df.loc[i,'部位']='Tumor' + elif '血管瘤' in df.loc[i,'手术名称']: + df.loc[i,'部位']='Angioma' + elif '黄威' in df.loc[i,'术者']: #error + es4 += 1 + elif '李守民' in df.loc[i,'术者']: + es1 += 1 + elif '史国光' in df.loc[i,'术者']: + es2 += 1 + else: es3 += 1 + df.loc[i,'手术名称']='Resection' + + elif '矫形术' in df.loc[i,'手术名称'] or '复位术' in df.loc[i,'手术名称']: + if '髌骨' in df.loc[i,'手术名称']: #Reduction+髌骨脱位 + df.loc[i,'部位'] ='knee' + df.loc[i,'row'] = 298.5 + elif '股骨' in df.loc[i,'手术名称']: + df.loc[i,'部位'] ='leg' + df.loc[i,'row'] = 597 + elif '髋关节' in df.loc[i,'手术名称']: + df.loc[i,'部位'] ='hip' + df.loc[i,'row'] = 599 + elif '黄威' in df.loc[i,'术者']: #error + es4 += 1 + elif '李守民' in df.loc[i,'术者']: + es1 += 1 + elif '史国光' in df.loc[i,'术者']: + es2 += 1 + else: es3 += 1 + df.loc[i,'手术名称']='Reduction' + + elif '去除术' in df.loc[i,'手术名称'] or '取出术' in df.loc[i,'手术名称']: + if '桡骨' in df.loc[i,'手术名称']: #Removal（内固定装置去除术） + df.loc[i,'部位'] ='elbow' + df.loc[i,'row'] = 199 + elif '锁骨' in df.loc[i,'手术名称']: + df.loc[i,'部位'] ='shoulder' + df.loc[i,'row'] = 102 + elif '股骨' in df.loc[i,'手术名称']: + df.loc[i,'部位'] ='leg' + df.loc[i,'row'] = 199.5 + elif '髌骨' in df.loc[i,'手术名称']: + df.loc[i,'部位'] ='patella' + df.loc[i,'row'] = 560 + + df.loc[i,'手术名称']='Removal' + + elif '内固定术' in df.loc[i,'手术名称']: + if '肘' in df.loc[i,'手术名称']: #Fixation（内固定） + df.loc[i,'部位'] ='elbow' + df.loc[i,'row'] = 104 + if '股骨' in df.loc[i,'手术名称']: + df.loc[i,'部位'] ='leg' + df.loc[i,'row'] = 199.2 + df.loc[i,'手术名称']='Fixation' + + elif '肘关节置换' in df.loc[i,'手术名称']: + df.loc[i,'部位'] ='elbow' #TEA（肘关节置换） + df.loc[i,'row'] = 190 + df.loc[i,'手术名称']='TEA' + + elif '肩关节置换修复术' in df.loc[i,'手术名称']: + df.loc[i,'部位'] ='shoulder' #TEA（肩关节置换） + df.loc[i,'row'] = 103 + df.loc[i,'手术名称']='TSA' + + elif '融合术' in df.loc[i,'手术名称']: + if '膝' in df.loc[i,'手术名称']: #Fusion(融合术) + df.loc[i,'部位'] ='knee' + df.loc[i,'row'] =555 + if '髋' in df.loc[i,'手术名称']: + df.loc[i,'部位'] ='hip' + df.loc[i,'row'] =699 + df.loc[i,'手术名称']='Fusion' + + elif '修整术' in df.loc[i,'手术名称']: + if 'leg' in df.loc[i,'部位']: #Fusion + df.loc[i,'row'] =556 + df.loc[i,'手术名称']='Trimming' + + elif '清创术' in df.loc[i,'手术名称']: + if 'leg' in df.loc[i,'部位']: #Debridement + df.loc[i,'row'] =556 + df.loc[i,'手术名称']='Debridement' + + elif '黄威' in df.loc[i,'术者']: #error + es4 += 1 + elif '李守民' in df.loc[i,'术者']: + es1 += 1 + elif '史国光' in df.loc[i,'术者']: + es2 += 1 + else: es3 += 1 + + if df.loc[i,'row']=='': + df.loc[i,'row']=1 + + #分装表格 + if '黄威' in df.loc[i,'术者']: + i4 += 1 + df4.loc[i4] = df.loc[i] + else: + if '朱晨' in df.loc[i,'术者']: + i3 += 1 + df3.loc[i3] = df.loc[i] + else: + if '李守民' in df.loc[i,'术者']: + i1 += 1 + df1.loc[i1] = df.loc[i] + else: + if '史国光' in df.loc[i,'术者']: + i2 += 1 + df2.loc[i2] = df.loc[i] + + i += 1 + + + df1.sort_values('row',inplace=True) + df2.sort_values('row',inplace=True) + df3.sort_values('row',inplace=True) + df4.sort_values('row',inplace=True) + #print(df3) #调试用,可注释 + self.page.destroy() + mex(df1,df2,df3,df4,i1,i2,i3,i4) + + global ppti #ppt计数器 + ppti = 1 + + def mex(df1,df2,df3,df4,i1,i2,i3,i4): #make excel：包括制作表格，以及病人选择和信息修改，并将结果回传；。 + if ppti <=4: + if ppti ==1: + master.destroy() + if i1 > -1: + df = df1 + i = i1 + i1 = -1 + elif i2 > -1: + df = df2 + i = i2 + i2 = -1 + elif i4 > -1: + df = df4 + i = i4 + i4 = -1 + elif i3 > -1: + df = df3 + i = i3 + i3 = -1 + else: + conc() + return 0 + else: + conc() + return 0 + self.root = tk.Tk() + self.root.title('早会PPT制作 V0.0.1') + self.root.geometry('730x750+'+str(int(leng/16))+'+'+str(int(wid/16))) + #print(df) #调试用,可注释 + #return 0 + exl={ + '1':['床号',5], + '2':['登记号',11], + '3':['姓名',8], + '4':['性别',8], + '5':['年龄',5], + '6':['诊断',24], + '7':['手术名称',17], + '8':['部位',9], + '9':['术者',5] + } + for c in range(1,10): #列 + name = tk.Entry(self.root,width=exl[str(c)][1],bg='green',fg='white') + name.insert(0,exl[str(c)][0]) + name.grid(row=1,column=c,padx=2,pady=2) + + for r in range(0,i+1): + globals()[df.iloc[i]['术者']+str(r)+str(c)] = tk.StringVar() + locals()['entry'+str(r)+str(c)] = tk.Entry(self.root,textvariable=globals()[df.iloc[i]['术者']+str(r)+str(c)],width=exl[str(c)][1]) + locals()['entry'+str(r)+str(c)].insert(0,df.iloc[r][exl[str(c)][0]]) + if c== 6 or c == 7 or c==8: + if '\u4e00' <= df.iloc[r][exl[str(c)][0]] <= '\u9fa5': #是汉字 + locals()['entry'+str(r)+str(c)].configure(fg='red') + locals()['entry'+str(r)+str(c)].grid(row=r+2,column=c,padx=2,pady=2) + + warn=tk.Label(self.root, text="********请检查所有患者的诊断、手术名称和部位是否正确（是否出现红色中文）********",fg='green') + #warn.tag_add('red', 33.0, 34.0) + #warn.tag_config('red', foreground='red') + warn.grid(row = i+4,column=1,columnspan=8, pady =20) + tk.Button(self.root, text="下一步", command=lambda:jump(df,i,df1,df2,df3,df4,i1,i2,i3,i4,exl)).grid(row = i+5,column =9, pady =10) #不加lambda在加载前jump就执行，command为none；lambda为匿名函数 + #image = Image.open("logo.jpg") + #new_image=image.resize((100,100)) + #pyt = ImageTk.PhotoImage(new_image) + #pic= tk.Label(self.root,image=pyt) + #pic.img=pyt + #pic.grid(row = i+5,column =0,columnspan=3) + self.root.mainloop() + + def jump(df,i,df1,df2,df3,df4,i1,i2,i3,i4,exl): + global ppti #在函数里修改外界变量要声明全局 + self.root.destroy() + df= df.copy() ##深拷贝，否则报错A value is trying to be set on a copy of a slice from a DataFrame + for c in range(1,10): + for r in range(0,i+1): + df.iloc[r][exl[str(c)][0]]=globals()[df.iloc[i]['术者']+str(r)+str(c)].get() + #print(df) + pptx(df) + ppti += 1 + mex(df1,df2,df3,df4,i1,i2,i3,i4) + + global text + text='所有患者ppt已制作完成！\n\n\n\n日志如下：\n\n' + + def conc(): #conclusion + self.root = tk.Tk() + self.root.title('早会PPT制作 V0.0.1') + self.root.geometry('500x700+'+str(int(leng/16))+'+'+str(int(wid/16))) + txt=tk.Text(self.root,width=70, height=30) + txt.insert('insert', text) + Desired_font = tkinter.font.Font( family = "Microsoft YaHei UI", + size = 10, + weight = "bold") + txt.configure(font=Desired_font) + txt.grid() + + def color(t): + color={ + 'Release':[112,48,160], + 'TEA':[112,48,160], + 'TSA':[112,48,160], + 'Arthroscopy':[146,208,80], + 'Fixation':[38,38,38], + 'HTO':[0,176,240], + 'DFO':[0,176,240], + 'UKA':[0,176,80], + 'UKA(Fixation)':[0,176,80], + 'TKA':[255,0,0], + 'THA':[38,38,38], + 'Reduction':[38,38,38], + 'Removal':[70,10,244], + 'Revision':[47,85,151], + 'Resection':[112,48,160], + 'Hemiarthroplasty':[89,89,89], + 'Fusion':[20,176,188], + 'Trimming':[3,37,205] + } + if t in color: + return color[t] + else: + return [112,48,160] + + def pptx(df): + #print(df) + global text + prs = Presentation() + prs.slide_height = 6858000 #设置ppt的高度 + prs.slide_width = 12192000 #设置ppt的宽度,指定16:9 + i = 0 + pe = 0 #pic error + for ind, row in df.iterrows(): + slide_layout = prs.slide_layouts[6] + slide = prs.slides.add_slide(slide_layout) + slide.notes_slide.notes_text_frame.text = 'Powered by ChenMo Automation Lab' + + ##part_1 + left, top, width, height = Cm(0), Cm(0), Cm(10), Cm(1.7) + txBox = slide.shapes.add_textbox(left, top, width, height) + tf = txBox.text_frame + + para = tf.paragraphs[0] # 新增段落 + para.text = df.iloc[i]['手术名称'] # 向段落写入文字 + #print(para.text,',') + para.alignment = PP_ALIGN.CENTER # 居中 # para.line_spacing = 1.5 # 1.5 倍的行距 + + font = para.font + font.name = 'Times New Roman' # 字体类型 # font.bold = True # 加粗 + font.size = Pt(36) # 大小 + font.color.rgb=RGBColor(255,255,255) + tf.vertical_anchor = MSO_ANCHOR.TOP # txBox.text_frame.paragraphs[0].alignment = PP_ALIGN.CENTER + fill = txBox.fill + fill.solid() # 纯色填充 + fill.fore_color.rgb = RGBColor(color(df.iloc[i]['手术名称'])[0], color(df.iloc[i]['手术名称'])[1], color(df.iloc[i]['手术名称'])[2]) + + ##part_2 + if 'L' in df.iloc[i]['左右']: + ori = 'left ' + elif 'R' in df.iloc[i]['左右']: + ori = 'right ' + else: ori = 'both ' + t = random.randint(1, 3) + tu = 'y' + if 'fracture' in df.iloc[i]['诊断'] or 'FNF' in df.iloc[i]['诊断']: + tu = 'd' + if t != 1: + tu =tu + 's' + + left, top, width, height = Cm(0), Cm(2), Cm(13), Cm(10) + txBox2 = slide.shapes.add_textbox(left, top, width, height) + tf2 = txBox2.text_frame #para2 = tf2.add_paragraph() + para2=tf2.paragraphs[0] + para2.text = str(df.iloc[i]['床号']) +' '+str(df.iloc[i]['姓名'])+' '+str(df.iloc[i]['性别'])+' '+str(df.iloc[i]['年龄'])+' '+str(df.iloc[i]['登记号'])+ '\n' + para2.text = para2.text + 'pain in ' + ori + str(df.iloc[i]['部位']) + ' for ' + str(t) + tu +'\n\n' + para2.text = para2.text + 'Lab: normal \n\n' + para2.text = para2.text + 'Dignosis: ' + str(df.iloc[i]['左右'])+ str(df.iloc[i]['诊断']) + '\n\n' + para2.text = para2.text + 'Surgical plan: ' + str(df.iloc[i]['左右']) + str(df.iloc[i]['手术名称']) + '\n\n' + para2.text = para2.text + 'Surgery date: 2023.' + str(os.path.basename(Folderpath)) + + font2 = para2.font + font2.name = 'Times New Roman' + font2.size = Pt(28) + + + ##pic import + #print(str(df.iloc[i]['床号']),'+',len(str(df.iloc[i]['床号'])),'\n') + pp='x' + if os.path.exists(Folderpath+'/'+str(df.iloc[i]['登记号'])): + pp = Folderpath+'/'+str(df.iloc[i]['登记号']) #pic path + elif os.path.exists(Folderpath+'/'+str(df.iloc[i]['床号'])): + pp = Folderpath+'/'+str(df.iloc[i]['床号']) + elif os.path.exists(Folderpath+'/'+str(df.iloc[i]['姓名'])): + pp = Folderpath+'/'+str(df.iloc[i]['姓名']) + elif os.path.exists(Folderpath+'/0'+str(df.iloc[i]['床号'])): + pp = Folderpath+'/0'+str(df.iloc[i]['床号']) + elif len(str(df.iloc[i]['床号'])) > 1: + if os.path.exists(Folderpath+'/'+str(df.iloc[i]['床号'])[1]): + pp = Folderpath+'/'+str(df.iloc[i]['床号'][1]) + else: + pe += 1 + #print('未找到患者图片：',df.iloc[i]['姓名']) + text +='未找到患者图片：'+df.iloc[i]['姓名']+'\n' + i +=1 + continue + else: + pe += 1 + #print('未找到患者图片：',df.iloc[i]['姓名']) + text +='未找到患者图片：'+df.iloc[i]['姓名']+'\n' + i +=1 + continue + pi = 0 + pic= pd.DataFrame(columns =['path','ratio']) + + + for files in os.walk(pp): + left, top, width,= Cm(14), Cm(1), Cm(7) + + for file in files[2]: + if file.endswith(".jpg") or file.endswith(".png"): + img = Image.open(files[0]+'/'+file) + pic.loc[pi] = [str(files[0]+'/'+file),img.size[1]/img.size[0]] + + pi += 1 + + ######slide宽度 33.87 cm，高 19.05 cm###### + if pi > 0: + if pi == 1: #髋正位 + if pic.iloc[0]['ratio'] < 1.2 or df.iloc[i]['部位'] == 'hip': + left, top, width= Cm(16), Cm(1), Cm(16.5) + if pic.iloc[0]['ratio'] > 1.2: + left, top, width= Cm(16), Cm(1), Cm(16.5 / pic.iloc[0]['ratio']) + else: + left, top, width= Cm(21), Cm(0.8), Cm(6.5) + pict = slide.shapes.add_picture(pic.iloc[0]['path'], left, top, width) + + elif pi == 2: + pic=pic.sort_values('ratio', ascending=False) #肘正侧位（两张超宽）、正侧位（正常或超宽）或髋正位+全长 + if pic.iloc[0]['ratio'] < 0.7 and pic.iloc[1]['ratio'] < 0.7: ##两张肘片需要旋转90度 + im = Image.open(pic.iloc[0]['path']) + im_rotate = im.transpose(Image.Transpose.ROTATE_270) + im_rotate.save(pic.iloc[0]['path']+'转.jpg') + left, top, width = Cm(33.87 - 0.25*2 - 14*pic.iloc[0]['ratio'] - 14*pic.iloc[1]['ratio']), Cm(3.8), Cm(14*pic.iloc[0]['ratio']) + pict = slide.shapes.add_picture(pic.iloc[0]['path']+'转.jpg', left, top, width) + im = Image.open(pic.iloc[1]['path']) + im_rotate = im.transpose(Image.Transpose.ROTATE_270) + im_rotate.save(pic.iloc[1]['path']+'转.jpg') + left,width = Cm(33.87 - 0.25 - 14*pic.iloc[1]['ratio']), Cm(14*pic.iloc[1]['ratio']) + pict = slide.shapes.add_picture(pic.iloc[1]['path']+'转.jpg', left, top, width) + + elif pic.iloc[0]['ratio'] < 1.2 and pic.iloc[1]['ratio'] < 1.2: + left, top, width = Cm(33.87 - 0.25*2 - 10 / pic.iloc[0]['ratio']- 10 / pic.iloc[1]['ratio']), Cm(5), Cm(10 / pic.iloc[0]['ratio']) + pict = slide.shapes.add_picture(pic.iloc[0]['path'], left, top, width) + left,width = Cm(33.87 - 0.25- 10 / pic.iloc[1]['ratio']), Cm(10 / pic.iloc[1]['ratio']) + pict = slide.shapes.add_picture(pic.iloc[1]['path'], left, top, width) + + elif pic.iloc[1]['ratio'] < 0.8: + left, top, width = Cm(33.87 - 0.25*2 -17.5 - 14 / pic.iloc[0]['ratio']), Cm(3.8), Cm(14 / pic.iloc[0]['ratio']) + pict = slide.shapes.add_picture(pic.iloc[0]['path'], left, top, width) + left,width = Cm(33.87 - 0.25 -17.5), Cm(17.5) + pict = slide.shapes.add_picture(pic.iloc[1]['path'], left, top, width) + + else: + left, top, width = Cm(33.87 - 0.25*2 - 14 / pic.iloc[0]['ratio'] - 14 / pic.iloc[1]['ratio']), Cm(3.8), Cm(14 / pic.iloc[0]['ratio']) + pict = slide.shapes.add_picture(pic.iloc[0]['path'], left, top, width) + left,width = Cm(33.87 - 0.25 - 14 / pic.iloc[1]['ratio']), Cm(14 / pic.iloc[1]['ratio']) + pict = slide.shapes.add_picture(pic.iloc[1]['path'], left, top, width) + + elif pi == 3: #1个全长+正侧位 + pic=pic.sort_values('ratio', ascending=False) + + left, top, width = Cm(33.87 - 0.25*3 - 6*2 - 14.8 / pic.iloc[0]['ratio']), Cm(3.8), Cm(14.8 / pic.iloc[0]['ratio']) + pict = slide.shapes.add_picture(pic.iloc[0]['path'], left, top, width) + left,width = Cm(33.87 - 0.25*2 - 6*2), Cm(6) + pict = slide.shapes.add_picture(pic.iloc[1]['path'], left, top, width) + left,width = Cm(33.87 - 0.25 - 6), Cm(6) + pict = slide.shapes.add_picture(pic.iloc[2]['path'], left, top, width) + + elif pi == 4: + pic=pic.sort_values('ratio', ascending=True) #2个磁共振+正位和侧位 + + left,top,width = Cm(33.87 - 7*2 - 0.25*2), Cm(0.25),Cm(7) + pict = slide.shapes.add_picture(pic.iloc[0]['path'], left, top, width) + left,width = Cm(33.87 - 7 - 0.25), Cm(7) + pict = slide.shapes.add_picture(pic.iloc[1]['path'], left, top, width) + left,top,width = Cm(33.87 - 7*2 - 0.25*2),Cm(0.5 + 7 * pic.iloc[1]['ratio']), Cm(7) + pict = slide.shapes.add_picture(pic.iloc[2]['path'], left, top, width) + left,height = Cm(33.87 - 7 - 0.25), Cm(7) + pict = slide.shapes.add_picture(pic.iloc[3]['path'], left, top, width) + + elif pi == 5: + pic=pic.sort_values('ratio', ascending=True) #1个全长，2个磁共振+正侧位 + + left,top,width = Cm(33.87 - 6*2 - 0.25*3 - 14.8 / pic.iloc[4]['ratio']), Cm(3.25),Cm(14.8 / pic.iloc[4]['ratio']) + pict = slide.shapes.add_picture(pic.iloc[4]['path'], left, top, width) + + left,top,width = Cm(33.87 - 6*2 - 0.25*2), Cm(0.25),Cm(6) + pict = slide.shapes.add_picture(pic.iloc[0]['path'], left, top, width) + left,width = Cm(33.87 - 6 - 0.25), Cm(6) + pict = slide.shapes.add_picture(pic.iloc[1]['path'], left, top, width) + left,top,width = Cm(33.87 - 6*2 - 0.25*2), Cm(0.5 + 6 * pic.iloc[1]['ratio']), Cm(6) + pict = slide.shapes.add_picture(pic.iloc[2]['path'], left, top, width) + left,height = Cm(33.87 - 6 - 0.25), Cm(6) + pict = slide.shapes.add_picture(pic.iloc[3]['path'], left, top, width) + + else: + pic=pic.sort_values('ratio', ascending=True) + for pii in range(0, pi) : + left,top,width = Cm(16 + 6.5*(pii%3)) , Cm(0.5 + 7 * int(pii/3)) , Cm(6) + pict = slide.shapes.add_picture(pic.iloc[pii]['path'], left, top, width) + i +=1 + + + if pe > 0: + #print('图片导入错误：',pe,'请查询手术是否已取消') + text +='未找到 '+df.iloc[i-1]['术者']+' 的患者影像如上，合计：'+str(pe)+'名。请查询手术是否已取消'+'\n\n\n' + else: + #print('所有患者图片导入成功') + text +=df.iloc[i-1]['术者']+' 的所有患者影像导入成功！'+'\n\n\n' + + if str(df.iloc[i-1]['术者']) == '黄威': + prs.save(Folderpath+'/'+str(os.path.basename(Folderpath))+' '+str(df.iloc[i-1]['术者'])+'组.pptx') + else: + prs.save(Folderpath+'/'+str(os.path.basename(Folderpath))+' '+str(df.iloc[i-1]['术者'])+'主任组.pptx') + # if os.path.isfile(Folderpath+'/'+str(os.path.basename(Folderpath))+' '+str(df.iloc[i-1]['术者'])+'.pptx'): + # os.remove(Folderpath+'/'+str(os.path.basename(Folderpath))+' '+str(df.iloc[i-1]['术者'])+'.pptx') + #shutil.move(str(os.path.basename(Folderpath))+' '+str(df.iloc[i-1]['术者'])+'.pptx',Folderpath) #调试时可注释掉 + + def resource_path(relative_path): + if getattr(sys, 'frozen', False): #是否Bundle Resource + base_path = sys._MEIPASS + else: + base_path = os.path.abspath(".") + return os.path.join(base_path, relative_path) + +#------------------------------------------------------------------------------术后操作部分------------------------------------------------ + def aspic(num,fapa): #after surgery picture + pic= pd.DataFrame(columns =['path','ratio']) + pi=0 + for files in os.walk(fapa): + if num in files[0] and '术后' in files[0]: ##偷个懒，最好是根据日期来选择存放照片的日期，否则存在恰好住院号在照片编号和一个人在同一周做了两次手术，也无法排除该天没做而在第二天做的情况 + for file in files[2]: + if file.endswith(".jpg") or file.endswith(".png"): + img = Image.open(files[0]+'/'+file) + pic.loc[pi] = [str(files[0]+'/'+file),img.size[1]/img.size[0]] + pi+=1 + return pic,pi + + def move_slide(presentation,old_index, new_index): + xml_slides = presentation.slides._sldIdLst + slides = list(xml_slides) + xml_slides.remove(slides[old_index]) + xml_slides.insert(new_index, slides[old_index]) + + def afsur(): + paths = filedialog.askopenfilenames(title='请选择需要做术后的PPT文件(可多选)', filetypes=[ ('PPT', '.ppt .pptx')]) + epi=0 #error picture i 未找到的患者 + for path in paths: + #到单个ppt + prs = Presentation(path) + fapa =Path(r'%s'%(path)).parent #引用字符串内容，获得上级文件夹 + ppi = len(prs.slides) + + for pppi in range(0,ppi): + slide=prs.slides[pppi] + num=slide.shapes[1].text_frame.paragraphs[0].runs[0].text.split(' ')[-1] + if len(num) < 6: + for index,run in enumerate(slide.shapes[1].text_frame.paragraphs[0].runs): + if 'pain' in run.text: + num =slide.shapes[1].text_frame.paragraphs[0].runs[index-1].text.split(' ')[-1] + break + + pic,pi=aspic(num,fapa) + + sli_layout = prs.slide_layouts[6] + sli = prs.slides.add_slide(sli_layout) + #sli.notes_slide.notes_text_frame.text = 'Powered by ChenMo Automation Lab' + + left, top, width, height = Cm(0.5), Cm(0.5), Cm(3), Cm(3) + txBox = sli.shapes.add_textbox(left, top, width, height) + tf = txBox.text_frame + para=tf.paragraphs[0] + para.text ='术后' + font = para.font + font.name = 'Times New Roman' + font.size = Pt(28) + + if pi > 0: + if pi == 1: #髋正位 + left, top, width= Cm(33.87 - 0.25 -18.4 / pic.iloc[0]['ratio']), Cm(0.25), Cm(18.4 / pic.iloc[0]['ratio']) + pict = sli.shapes.add_picture(pic.iloc[0]['path'], left, top, width) + + elif pi == 2: #偷懒不判断了，一般2张图的要么是没做全长，要么是肘的 + pic=pic.sort_values('ratio', ascending=False) + left, top, width = Cm(3), Cm(0.25), Cm(18.4 / pic.iloc[0]['ratio']) + pict = sli.shapes.add_picture(pic.iloc[0]['path'], left, top, width) + left,width = Cm(3 + 0.25 + 18.4 / pic.iloc[0]['ratio']), Cm(18.4 / pic.iloc[1]['ratio']) + pict = sli.shapes.add_picture(pic.iloc[1]['path'], left, top, width) + + elif pi == 3: #1个全长+正侧位 + pic=pic.sort_values('ratio', ascending=False) + left, top, width = Cm(3), Cm(0.25), Cm(18.4 / pic.iloc[0]['ratio']) + pict = sli.shapes.add_picture(pic.iloc[0]['path'], left, top, width) + left,width = Cm(33.87 - 0.25*2 - 18.4 / pic.iloc[1]['ratio']- 18.4 / pic.iloc[2]['ratio']), Cm(18.4 / pic.iloc[1]['ratio']) + pict = sli.shapes.add_picture(pic.iloc[1]['path'], left, top, width) + left,width = Cm(33.87 - 0.25 - 18.4 / pic.iloc[2]['ratio']), Cm(18.4 / pic.iloc[2]['ratio']) + pict = sli.shapes.add_picture(pic.iloc[2]['path'], left, top, width) + + else: + pic=pic.sort_values('ratio', ascending=True) + for pii in range(0, pi) : + left,top,width = Cm(3 + 6.5*(pii%3)) , Cm(0.5 + 7 * int(pii/3)) , Cm(6) + pict = sli.shapes.add_picture(pic.iloc[pii]['path'], left, top, width) + + else : epi+=1 + + for pppi in range(0,ppi): + move_slide(prs,pppi+ppi,pppi*2+1) + + prs.save(path.replace('.pptx','-术后.pptx')) + + mx1 = messagebox.showinfo(title='提示', message=('所有术后片已制作完成！共',epi,'人术后片未找到')) + + + ##----------------------------------------------分组法做术后------------------------------- + def pmerge(alldirs,sway): #Microsoft法合并 + ppt = Dispatch('PowerPoint.Application') + ppt.Visible = 1 + ppt.DisplayAlerts = 0 + #拿到所有的ppt地址！ + #alldirs=[r'D:\0课件文件\#研究生\交班ppt\py\1.pptx',r'D:\0课件文件\#研究生\交班ppt\py\2.pptx'] + pptA = ppt.Presentations.Open(alldirs[0].replace('/','\\')) + for dir in alldirs[1:len(alldirs):1]: + pptB = ppt.Presentations.Open(dir.replace('/','\\')) + numB=len(pptB.Slides) + for i in range(1,numB+1): + time.sleep(0.01) ####如果报错没在剪切板里找到东西，则加个等待减减速 + pptB.Slides(i).Copy() + pptA.Slides.Paste() + pptB.Close() + time.sleep(0.01) + #设置合并后ppt的路径！ + pptA.SaveAs(sway) + pptA.Close() + ppt.Quit() + + def wmerge(alldirs,sway): #WPS法合并 + ppt = win32com.client.Dispatch('KWPP.Application') + #ppt.Visible = 1 + #ppt.DisplayAlerts = 0 + #拿到所有的ppt地址！ + #alldirs=[r'D:\0课件文件\#研究生\交班ppt\py\1.pptx']#,r'D:\0课件文件\#研究生\交班ppt\py\2.pptx'] + print(alldirs[0]) + pptA = ppt.Presentations.Open(alldirs[0]) + for dir in alldirs[1:len(alldirs):1]: + pptB = ppt.Presentations.Open(dir) + numB=len(pptB.Slides) + for i in range(1,numB+1): + pptB.Slides(i).Copy() + time.sleep(0.01) + pptA.Slides.Paste() + pptB.Close() + #设置合并后ppt的路径！ + pptA.SaveAs(sway) + pptA.Close() + ppt.Quit() + + def judgege(bed): #judge group by excel + df=pd.read_excel('床位分配（如果分组变动请修改）.xlsx',usecols=[0, 1]) + df['床号'] = df['床号'].astype(str) + row=df.loc[df['床号'] == bed] #搜索并提取 + try: + name= str(row.iloc[:,1].iloc[0]) + return(name) + except: + try: + row=df.loc[df['床号'] == bed[1]] + name= str(row.iloc[:,1].iloc[0]) + return(name) + except: + return('x') + + def mergeafpic(temppath,fapa): #插入术后片 + epi = 0 + prs = Presentation(temppath) + ppi = len(prs.slides) + for pppi in range(0,ppi): + slide=prs.slides[pppi] + try: + num=slide.shapes[1].text_frame.paragraphs[0].runs[0].text.split(' ')[-1] #get num ： 登记号 + except: + try: + for index,run in enumerate(slide.shapes[1].text_frame.paragraphs[0].runs): + if 'pain' in run.text: + num =slide.shapes[1].text_frame.paragraphs[0].runs[index-1].text.split(' ')[-1] + break + except: + for shape in slide.shapes: + try: + for index,run in enumerate(shape.text_frame.paragraphs[0].runs): + if 'pain' in run.text: + num =slide.shapes[1].text_frame.paragraphs[0].runs[index-1].text.split(' ')[-1] + break + except: + continue + + if len(num) < 6: + for index,run in enumerate(slide.shapes[1].text_frame.paragraphs[0].runs): + if 'pain' in run.text: + num =slide.shapes[1].text_frame.paragraphs[0].runs[index-1].text.split(' ')[-1] + break + + pic,pi=aspic(num,fapa) + + sli_layout = prs.slide_layouts[6] + sli = prs.slides.add_slide(sli_layout) + #sli.notes_slide.notes_text_frame.text = 'Powered by ChenMo Automation Lab' + + left, top, width, height = Cm(0.5), Cm(0.5), Cm(3), Cm(3) + txBox = sli.shapes.add_textbox(left, top, width, height) + tf = txBox.text_frame + para=tf.paragraphs[0] + para.text ='术后' + font = para.font + font.name = 'Times New Roman' + font.size = Pt(28) + + if pi > 0: + if pi == 1: #髋正位 + left, top, width= Cm(33.87 - 0.25 -18.4 / pic.iloc[0]['ratio']), Cm(0.25), Cm(18.4 / pic.iloc[0]['ratio']) + pict = sli.shapes.add_picture(pic.iloc[0]['path'], left, top, width) + + elif pi == 2: #偷懒不判断了，一般2张图的要么是没做全长，要么是肘的 + pic=pic.sort_values('ratio', ascending=False) + left, top, width = Cm(3), Cm(0.25), Cm(18.4 / pic.iloc[0]['ratio']) + pict = sli.shapes.add_picture(pic.iloc[0]['path'], left, top, width) + left,width = Cm(3 + 0.25 + 18.4 / pic.iloc[0]['ratio']), Cm(18.4 / pic.iloc[1]['ratio']) + pict = sli.shapes.add_picture(pic.iloc[1]['path'], left, top, width) + + elif pi == 3: #1个全长+正侧位 + pic=pic.sort_values('ratio', ascending=False) + left, top, width = Cm(3), Cm(0.25), Cm(18.4 / pic.iloc[0]['ratio']) + pict = sli.shapes.add_picture(pic.iloc[0]['path'], left, top, width) + left,width = Cm(33.87 - 0.25*2 - 18.4 / pic.iloc[1]['ratio']- 18.4 / pic.iloc[2]['ratio']), Cm(18.4 / pic.iloc[1]['ratio']) + pict = sli.shapes.add_picture(pic.iloc[1]['path'], left, top, width) + left,width = Cm(33.87 - 0.25 - 18.4 / pic.iloc[2]['ratio']), Cm(18.4 / pic.iloc[2]['ratio']) + pict = sli.shapes.add_picture(pic.iloc[2]['path'], left, top, width) + + else: + pic=pic.sort_values('ratio', ascending=True) + for pii in range(0, pi) : + left,top,width = Cm(3 + 6.5*(pii%3)) , Cm(0.5 + 7 * int(pii/3)) , Cm(6) + pict = sli.shapes.add_picture(pic.iloc[pii]['path'], left, top, width) + + else : epi+=1 + + for pppi in range(0,ppi): + move_slide(prs,pppi+ppi,pppi*2+1) + + prs.save(temppath) + return epi + + def afsurg(): #after surgery group分组法做术后 + + paths = filedialog.askopenfilenames(title='请选择需要做术后的PPT文件(可多选)', filetypes=[ ('PPT', '.ppt .pptx')]) + epi = 0 #error picture i 未找到的患者 + zcpaths=tuple(path for path in paths if '朱晨' in path) #拆分出朱晨path + hwpaths=tuple(path for path in paths if '黄威' in path) #拆分黄威path + progress=tkinter.Tk() + #progress['height']=200 + #progress['width']=400 + pleng= progress.winfo_screenheight() + pwid= progress.winfo_screenwidth() + progress.geometry("300x100+"+str(int(pleng/2))+'+'+str(int(pwid/2))) + progress.mainloop + label=tkinter.Label(progress,text='制作进度:',font=('黑体', 10)) + label.place(x=10,y=60) + #进度条 + progressbar=ttk.Progressbar(progress)#.grid(row = 8,column =1, pady =10) + progressbar.place(x=80,y=60) + + progressbar['maximum']=6 #设置进度条最大值为6 + progressbar['length']=200 #设置进度条长度 + + #合成PPT + fapa =Path(r'%s'%(paths[0])).parent + temppath=os.path.join(fapa,'#所有片子（本文件建议别删）.pptx') + hwtemppath=os.path.join(fapa,'黄威组.pptx') + zctemppath=os.path.join(fapa,'zctempt.pptx') + ways=tk.messagebox.askquestion(title="选择辅助软件", message="是否使用WPS帮助合成PPT？（选否使用微软PPT帮助合成）\n\n\n※※注意！！WPS有一定概率合成失败，笔记本用户可以考虑插上电源后使用或者使用微软PPT合成") + if ways == 'yes': + #wmerge(paths,temppath) #总表 + if not len(zcpaths) == 0: #有朱晨组 + wmerge(zcpaths,zctemppath) + if not len(hwpaths) ==0: #有黄威组 + wmerge(hwpaths,hwtemppath) + epi=mergeafpic(zctemppath,fapa)+mergeafpic(hwtemppath,fapa) + wmerge([zctemppath,hwtemppath],temppath) + else: + epi=mergeafpic(zctemppath,fapa) + wmerge(zctemppath,temppath) + else: #没有朱晨组 + if not len(hwpaths) ==0: #有黄威组 + wmerge(hwpaths,hwtemppath) + epi=mergeafpic(hwtemppath,fapa) + wmerge(hwtemppath,temppath) + else: + mx1 = messagebox.showinfo(title='提示', message=('没有可以制作的术前片！')) + else: + #pmerge(paths,temppath) #总表 + if not len(zcpaths) == 0: #有朱晨组 + pmerge(zcpaths,zctemppath) + if not len(hwpaths) ==0: #有黄威组 + pmerge(hwpaths,hwtemppath) + epi=mergeafpic(zctemppath,fapa)+mergeafpic(hwtemppath,fapa) + pmerge([zctemppath,hwtemppath],temppath) + else: + epi=mergeafpic(zctemppath,fapa) + pmerge(zctemppath,temppath) + else: #没有朱晨组 + if not len(hwpaths) ==0: #有黄威组 + pmerge(hwpaths,hwtemppath) + epi=mergeafpic(hwtemppath,fapa) + pmerge(hwtemppath,temppath) + else: + mx1 = messagebox.showinfo(title='提示', message=('没有可以制作的术前片！')) + #return 0 + progressbar['value']=1 + #self.page.update() + + ##根据床号筛选 + for i in range(1,5): + prs=Presentation('C:/Users/cm/Documents/WeChat Files/wxid_33gkbmgoatrb22/FileStorage/File/2023-10/2023.10.23-2023.10.29术后/zctempt2.pptx') #只有朱晨组的要筛选，黄威组的直接从前面导出来了 + ppi = len(prs.slides) + jump=0 + ##对单个ppt + for pppi in range(ppi//2): + pnum=(pppi-jump)*2 + slide=prs.slides[pnum] + #print('t:',slide.shapes[0].text_frame.paragraphs[0].runs[0].text) + #到单个页面 + try: + bed=slide.shapes[1].text_frame.text.split(' ')[0] + except: + try: + t=slide.shapes[1].text_frame.paragraphs[0].runs[0].text #其实不知道这后面的except存在还有没有意义 + #print('1') + except: + t=slide.shapes[0].text_frame.paragraphs[0].runs[0].text + #print('2') + bed=t.split(' ')[0] + #print(bed) + + + if not bed[-1].isdigit(): + pi = 0 + bed='空' + + print(bed,judgege(bed)) + if not str(i) in judgege(bed).replace('朱晨','1').replace('张贤祚','2').replace('李乾明','3').replace('禹德万','4'): + rId = prs.slides._sldIdLst[pnum].rId + prs.part.drop_rel(rId) + del prs.slides._sldIdLst[pnum] + rId = prs.slides._sldIdLst[pnum].rId + prs.part.drop_rel(rId) + del prs.slides._sldIdLst[pnum] + jump+=1 + + + if i==1: + prs.save(os.path.join(fapa,'朱晨组.pptx')) + elif i==2: + prs.save(os.path.join(fapa,'张贤祚组.pptx')) + elif i==3: + prs.save(os.path.join(fapa,'李乾明组.pptx')) + elif i==4: + prs.save(os.path.join(fapa,'禹德万组.pptx')) + #elif i==5: + #prs.save(os.path.join(fapa,'黄威组.pptx')) + else: + print('zzzzzzzzzz') + + #print(jump) + progressbar['value']=2+i + progress.update() + progress.destroy() + #progress.mainloop + mx1 = messagebox.showinfo(title='提示', message=('所有术后片已制作完成！共',epi,'人术后片未找到')) + os.remove(zctemppath) + + + + + +################################################----------------------------------------------------------------------- + #初始化界面 + filename = resource_path(os.path.join("icon","logo.jpg")) + image = Image.open(filename) + new_image=image.resize((100,100)) + pyt = ImageTk.PhotoImage(new_image) + master.title("早会PPT制作 V"+version) + + global leng,wid + leng= master.winfo_screenheight() + wid= master.winfo_screenwidth() + master.geometry("700x520+"+str(int(leng/16))+'+'+str(int(wid/16))) + + self.page= tk.Frame(master) + self.page.pack() + + tk.Label(self.page,text='请点下方按钮选择存放手术单和病人影像的文件夹以开始：').grid(row = 1, column = 1,pady =20) + tk.Button(self.page, text="选择要存放术前片的文件夹", command=imp).grid(row = 2,column =1, pady =10) + tk.Label(self.page,text='使用说明：请将HIS系统导出的手术表（et格式）在WPS中转为xlsx格式，并将xlsx与存\n有单独患者影像的文件夹一起放在同个文件夹内，然后点按上方按钮后选择该文件夹。',fg = 'green').grid(row = 3,column =1, pady =10) + tk.Label(self.page,text='注意事项：开始前请务必关闭excel表格！\n导片时请关注是否为骨科三病区患者，若是则需核对该患者是否真的在17F※※\n存放片子的文件夹名可以取“17F+床号”或登记号\n',fg='red').grid(row = 4,column =1) + tk.Label(self.page,text='【因为程序是根据是否为三病区确定\n是否为17F，术前不整理好的话会影响\n术后分组】',fg='red').grid(row = 4,column =0) + tk.Label(self.page,text='----------------------------------------').grid(row = 5,column =1) + tk.Label(self.page,text='点击下方按钮选择要做术后ppt的方式（可多选）').grid(row = 6,column =1) + tk.Button(self.page, text="按日期分装ppt", command=afsur).grid(row = 7,column =0, pady =10) + tk.Button(self.page, text="按分组分装ppt（需要WPS或者微软PPT软件）", command=afsurg).grid(row = 7,column =1, pady =10) + tk.Label(self.page,text='版本信息：Powered by ChenMo. Version: '+version+'，'+versiontime+'\n有任何使用问题和建议可联系作者：chenmomo@mail.ustc.edu.cn',font=('Arial',8)).grid(row = 9,column =1, pady =50) + + tk.Label(self.page,image=pyt).grid(row = 1,column =0) + root.mainloop() + + + +##----------------------------------main----------------------------------- +def resource_path(relative_path): + if getattr(sys, 'frozen', False): #是否Bundle Resource + base_path = sys._MEIPASS + else: + base_path = os.path.abspath(".") + return os.path.join(base_path, relative_path) + +if __name__ == '__main__': + root = tk.Tk() + filename = resource_path(os.path.join("icon","ico.png")) + root.iconphoto(True, tk.PhotoImage(file=filename)) + Impor(master = root) \ No newline at end of file diff --git "a/\345\272\212\344\275\215\345\210\206\351\205\215\357\274\210\345\246\202\346\236\234\345\210\206\347\273\204\345\217\230\345\212\250\350\257\267\344\277\256\346\224\271\357\274\211.xlsx" "b/\345\272\212\344\275\215\345\210\206\351\205\215\357\274\210\345\246\202\346\236\234\345\210\206\347\273\204\345\217\230\345\212\250\350\257\267\344\277\256\346\224\271\357\274\211.xlsx" new file mode 100644 index 0000000000000000000000000000000000000000..b851f80cc954569a236531601dccfb736f8d19e9 GIT binary patch literal 11911 zcma)C1y~j9)}|4V6hS~5>DUO;n~(8?vNCvyQNz?C6yG(&8EA%`8Rsb@f_~C z_xXp1VVGGp@A_ta^~y@Z!XZQ5AHmX#{P%zVJdhw42G(z7?W}F=nPeei*pM5Keu@pg z)`Vt;hJxaRfr7&LyO^Gh4Wo;tMQTjD1S~T~(4OBOhFzIycu1T@SjM6-y=rsMwgthY z)N3P6_4F^{i0$nA%QMvH&y3hJG!B+6Des2(z%t7oW8aGdLw+>+$)I(o__DNATPf`) zuUxDruu$wsXt^W8gJBNqr@`;T*I|V!edvWb=+Bd=zXtGE1&J&P#A?aY5)(+7M$j!3 z_2YA#thPXl>T?khBTZs_#_E?lM_cB!{W0n-C~3{b+oWYB2%~&R5ipG}RhZjQP3d<0 zw4y4)S3N9~nu*_e1$SCRu`*W;CCJ0TgjoKD#@HD@Gn~PtD0@6o-oto6l5YZ<=2O(f z+F4!CP(ChAY#R8|)`W2IR94DO5Z@_6i+@$DgK=S09@RyO!6Apwhe~ihjdaN#8{q?-SkuPO$*AJhJ8Ez`0{hE-@2!>E>i~^2KXAUhUACdN?jgF*B34!;P+8?1OVg-2{g)jX`@Gr+P$I+D0#6soqI6KQw0#Xy!wrp&8q4`v`kp0lsUHsgvhUlAScu z;QL@dL#7ts3^xs4BrbzhnC2tEH|$YcwJN-k-um2VL8ETFr9J6ko-(wS>RK1NaHQbD z!rN-0jB2k0mVlCYOOpU-(=r?_i(ea`aewD5adLrd1)9`xi}mMG%S(?cE6R_0cBjl! z6gmeZfWZ6MJli^MYj;D9?X{_p2_J=j^f8ND*E%!#axGEQgif$I%8J`{YgYlmD0L1+ zHt+{Q`5dDytXT5w6*1Wj!avhM`l(2S29gF$NE)8}BMpxB4%U|UiO7x7lI#Rv2kpV% z3HEv>v6?qJRukUfhv1^6G=7N9)5sK;h?NdL2Y*XYXxbNHLSI{1a2*m?F4Kn+EtM)W zK=zE{Z+oF&$#h2JFf&p0=@BoJ~DKb0&>o9%D3TUw7wo*JL>? 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