python+docx+csv+文档模版自动生成报告.zip

# coding=utf-8 import os,csv,docx,codecs #路径 old_file_path = "./word/old/"# 放了一些docx 文件 new_file_path = "./word/new/"# 生成新文件后的存放地址 fpath = './word/dict/'#字典路径 #字典初始化 replace_dict = {} def csv_dict(fpath):#csv转换成字典 for fn in os.listdir(fpath): dict_file = fpath+fn if fn.split(".")[1]=='csv': with codecs.open(dict_file,'r',encoding='gbk') as f: reader = csv.DictReader(f) for row in reader: csv_dict = dict(row) replace_dict.update(csv_dict) def check_and_change(document, replace_dict, new_file):#docx分为段落里的run和表格里的cell两部分逐个替换 j=0 k=0#敏感词计数 ###check敏感词 for para in document.paragraphs: for i in range(len(para.runs)): for key, value in replace_dict.items(): j=j+para.runs[i].text.count(key) for table in document.tables: for row in table.rows: for cell in row.cells: for key, value in replace_dict.items(): k=k+cell.text.count(key) if j+k>0:#若j+k大于零说明有敏感词 ###change敏感词 for para in document.paragraphs: for i in range(len(para.runs)): for key, value in replace_dict.items(): if key in para.runs[i].text: para.runs[i].text = para.runs[i].text.replace(key, value) for table in document.tables: for row in table.rows: for cell in row.cells: for key, value in replace_dict.items(): cell.text = cell.text.replace(key, value) document.save(new_file)#保存新文件 print("新文件路径："+new_file) return document def main(): csv_dict(fpath) for name in os.listdir(old_file_path): print("源文件名："+name) old_file = old_file_path + name new_file = new_file_path + name if name.split(".")[1] == 'docx': document = docx.Document(old_file) document = check_and_change(document, replace_dict, new_file) print("^"*30) if __name__ == '__main__': main()