Python解析word接口文档生成java bean

import docx
from docx import Document #导入库
import re


def getJavaBeanFromTable(document):

    tables = document.tables #获取文件中的表格集
    a = 0
    nameNumber = 0
    line = ''

    taleTitles = []
    with open("javaBean", 'r', encoding='UTF-8') as f:
        for each in f:
            each = each.strip('n')
            taleTitles.append(each)


    for table in tables[:]:
        line+='n'

        line+='table:'+str(a)+' '+str(len(table.rows)-1)+'行n'
        nameIndex=4
        msgIndex=5
        keyIndex=0
        typeIndex=1
        firstColoumSize=5
        a=a+1
        title_content = []
        for i, row in enumerate(table.rows[0:]):   # 读每行

            for cell in row.cells[:]:
                if i==0 and not title_content.__contains__(cell.text):
                    title_content.append(cell.text)

            for j, c in enumerate(title_content[:]):
                if i==0 and ['字段名称', '描述'].__contains__(c):
                    nameIndex = j
                    continue
                if i==0 and ['说明', '示例值'].__contains__(c):
                    msgIndex = j
                    continue
                if i==0 and ['参数', '变量名'].__contains__(c):
                    keyIndex = j
                    continue
                if i==0 and ['数据类型', '类型'].__contains__(c):
                    typeIndex = j
                    continue
                if i==0:
                    firstColoumSize = len(row.cells[:])
                    continue

            row_content = []
            for cell in row.cells[:]:  # 读一行中的所有单元格
                c = cell.text
                if (c != '' and row_content.__contains__(c)) or (len(row_content)== 0 and c == ''):
                    continue
                row_content.append(c)

            if len(row_content)>=len(title_content): # 筛选出符合要求的table,放在数组溢出
                cole=row_content[nameIndex]+row_content[msgIndex]
                coleName = row_content[keyIndex]
                if row_content[typeIndex].lower().strip()=='number':
                    row_content[typeIndex]='Integer'
                if row_content[typeIndex].lower().strip()=='decimal':
                    row_content[typeIndex]='BigDecimal'
                if row_content[typeIndex].lower().strip()=='datetime':
                    row_content[typeIndex]='String'
                if row_content[typeIndex].lower().strip()=='date':
                    row_content[typeIndex]='String'
                if row_content[typeIndex].lower().strip()=='string':
                    row_content[typeIndex]='String'
                b=re.sub(u"\(.*?\)|\{.*?\}|\[.*?\]|\<.*?\>", "", row_content[typeIndex])
                if is_number(b):
                    b='String'
                cole=row_content[nameIndex]+row_content[msgIndex]
                coleName = row_content[keyIndex]

                line+='n'
                line+='@JsonProperty("'+coleName+'")n'
                line+='private '+b+' '+convert(coleName,'_')+';n'

    with open("outPutFile", 'w', encoding='UTF-8') as f:
        f.write(line)

def is_number(s):
    try:
        float(s)
        return True
    except ValueError:
        pass

    try:
        import unicodedata
        unicodedata.numeric(s)
        return True
    except (TypeError, ValueError):
        pass

    return False


def getNonRepeatList2(data):
    new_data = []
    for i in range(len(data)):
        if data[i] not in new_data:
            new_data.append(data[i])
    return new_data


def convert(one_string,space_character):    #one_string:输入的字符串；space_character:字符串的间隔符，以其做为分隔标志
    if  space_character not in one_string:
        return one_string

    string_list = str(one_string).split(space_character)    #将字符串转化为list
    first = string_list[0].lower()
    others = string_list[1:]

    others_capital = [word.capitalize() for word in others]      #str.capitalize():将字符串的首字母转化为大写

    others_capital[0:0] = [first]

    hump_string = ''.join(others_capital)     #将list组合成为字符串，中间无连接符。

    return hump_string

if __name__ == "__main__":
    path = '../doc/Api7.docx' #接口文档的文件路径
    doc = Document(path) #读入文件
    getJavaBeanFromTable(doc)
    print("auto convert doc to bean by docx power")

安装docx 依赖包

 pip3 install -i https://pypi.douban.com/simple python-docx