Python实现有趣的亲戚关系计算器

# 将文字转换成关系符号
def transformTitleToKey(text):
    result = text.replace("的", ",").replace("我", "").replace("爸爸", "f").replace("父亲", "f").replace("妈妈","m").replace("母亲", "m").replace("爷爷","f,f").replace("奶奶", "f,m").replace("外公", "m,f").replace("姥爷", "m,f").replace("外婆", "m,m").replace("姥姥", "m,m").replace("老公","h").replace("丈夫", "h").replace("老婆", "w").replace("妻子", "h").replace("儿子", "s").replace("女儿", "d").replace("兄弟", "xd").replace("哥哥", "ob").replace("弟弟","lb").replace("姐妹","xs").replace("姐姐", "os").replace("妹妹", "ls").strip(",")
    return result

# 去重和简化
def FilteHelper(text):
    result = text
    filterName = '/filter.json'  # filter.json文件路径
    if not os.path.isfile(filterName):
        return "filterName文件不存在"
    with open(filterName, "r") as f:
        obj = list(ijson.items(f, 'filter'))
    for i in range(len(obj[0])):
        users = obj[0][i]['exp']
        if users == result:
            return obj[0][i]['str']
        elif re.match(obj[0][i]['exp'], result):  # 符合正则
            result1 = re.findall(obj[0][i]['exp'], result)  # 返回string中所有与pattern匹配的全部字符串,返回形式为数组
            print(result1)
            a = 0
            result2 = ""
            if len(result1)>1:
                try:
                    for i in len(result1):
                        result = result.replace("$" + str(a + 1), result1[a])
                        a = a + 1
                    if result.find("#") != -1:
                        result_l = result
                        resultList = list(set(result_l.split("#")))  # # 是隔断符，所以分割文本
                        for key in resultList:
                            result = FilteHelper(key.strip(","))
                            if (result.find("#") == -1):  # 当关系符号不含#时加入最终结果中
                                result2 = result2 + result
                        return result2
                    else:
                        return text
                except Exception as e:
                    return text
            else:
                return str(result1).replace("[\'", "").replace("\']", "")
        elif re.match(obj[0][i]['exp'], strInsert(result, 0, ',')):  # 符合正则
            result1 = re.findall(obj[0][i]['exp'], strInsert(result, 0, ','))  # 返回string中所有与pattern匹配的全部字符串,返回形式为数组
            a = 0
            result2 = ""
            if len(result1)>1:
                try:
                    for i in len(result1):
                        result = result.replace("$" + str(a + 1), result1[a])
                        a = a + 1
                    if result.find("#") != -1:
                        result_l = result
                        resultList = list(set(result_l.split("#")))  # # 是隔断符，所以分割文本
                        for key in resultList:
                            result = FilteHelper(key.strip(","))
                            if (result.find("#") == -1):  # 当关系符号不含#时加入最终结果中
                                result2 = result2 + result
                        return result2
                    else:
                        return text
                except Exception as e:
                    return text
            else:
                return str(result1).replace("[\'", "").replace("\']", "")
    return text

# 从数据源中查找对应 key 的结果
def dataValueByKeys(data_text):
    if(isChinese(data_text)):  # 判断是否含有中文，含有的是特殊回复
        return data_text
    dataName = '/data.json'  # data.json文件路径
    if not os.path.isfile(dataName):
        return "data文件不存在"
    fo = open(dataName, 'r', encoding='utf-8')
    ID_Data = demjson.decode(fo.read())
    fo.close()
    try:
        if ID_Data[data_text]:
            cityID = ID_Data[data_text]
            text = ""
            for key in cityID:
                text = text + key + '\\'
            return text.strip("\\")
        else:
            return "未找到"
    except Exception as e:
        result = ""
        resultList = FilteHelper(strInsert(data_text, 0, ',')).split(",")
        for key in resultList:
            result = result + dataValueByKeys(key)
        return result