这里提到的这个报错,是小错误且容易经常会犯,有时需要特别注意使用。

目的要求结果:根据某个元素的id值获取到对应id的text值,并且将获取的text值与本身存在的text值做比较,查看text值是否相等,这在自动化测试过程中经常会存在的做法,主要用作测试之后的检查,查看是否自动化执行到某一个步骤成功,因此通过id获取到text的前提条件是“此id对应的text必须存在值”,如下截图所示,只有id与text同时存在,才可以获取到text值,否则失败。

  aaarticlea/png;base64,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" alt="" width="264" height="95" />

错误代码如下:

self.log.info("check_search_message........检查搜索短信")
        sleep(2)
        a = self.device.find_element_by_id("com.android.mms:id/action_compose_new").text()
        self.log.info(type(a))    
        self.log.info(a)
        if a == u'新建信息':
            self.log.info('新建信息判定成功!')
        else:
            self.log.info('新建信息判定失败!')

  

  以上的写法,运行将会出现报错“TypeError: 'unicode' object is not callable”,错误的原因:self.device.find_element_by_id("com.android.mms:id/action_compose_new").text()中的text()不是一个函数,而是一个属性,因为通过@property能把python中定义的函数,当做属性访问从而提供友好的访问方式,来看appium的底层方法,如下图:

  aaarticlea/png;base64,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" alt="" width="618" height="176" />

改正点:

  去掉text后的括号,正确的为:self.device.find_element_by_id("com.android.mms:id/action_compose_new").text,以此text当做属性来访问,也被自己的给蠢哭了

欢迎加入微信群一起学习:

appium 提示报错“TypeError: 'unicode' object is not callable”的解决方式!的更多相关文章

  1. pip install 报错 TypeError: 'module' object is not callable

    $ pip install filetype Traceback (most recent call last): File "/usr/local/bin/pip2", line ...

  2. python3 pip报错 TypeError: 'module' object is not callable

    使用命令:python -m pip install xx即可,需要在pip前加python -m

  3. flask渲染模板时报错TypeError: 'UnboundField' object is not callable

    渲染模板时,访问页面提示TypeError: 'UnboundField' object is not callable 检查代码,发现实例化表单类是,没有加括号:form = NewNoteForm ...

  4. python 报错TypeError: 'range' object does not support item assignment,解决方法

    贴问题 nums = range(5)#range is a built-in function that creates a list of integers print(nums)#prints ...

  5. selenium报错TypeError: 'FirefoxWebElement' object is not iterable

    报错原因element少了s定位一组元素的方法与定位单个元素的方法类似,唯一的区别是在单词element后面多了一个s表示复数. 改为 返回结果为

  6. Vue 中提示报错 handlers[i].call is not a function解决方法

    Vue 中提示警告 TypeError: handlers[i].call is not a function at callHook (vue.esm.js?a026:2921) at Object ...

  7. Hexo server报错TypeError: Cannot read property 'utcOffset' of null解决方法

    最近刚刚开始使用Hexo,新建了一篇article,运行hexo server时候总是报错Cannot read property 'offset' of null. 最后发现是因为手贱把_confi ...

  8. python socket编程腾讯云下报错[Errno 99] Cannot assign requested address的解决方式

    先写服务端server.py: import socket import time HOST = '172.17.xx.xx' #服务器的私网IP #HOST = 'localhost' PORT = ...

  9. python框架Scrapy报错TypeError: 'float' object is not iterable解决

    原因是:Twisted版本高了. 解决办法: 只要把Twisted库降级到16.6.0即可: pip3 install Twisted== 注:Twisted16..0安装后,会自动卸载高版本的Twi ...

随机推荐

  1. Day4_迭代器

    迭代器: 是一个重复的过程,每一次重复都是基于上一次的结果而来. 可迭代对象: 凡是对象有_iter_方法(对象._iter_),该对象就是可迭代对象. 字符串,列表,元组,字典等都是可迭代对象. 可 ...

  2. es6(三):es6中函数的扩展(参数默认值、rest参数、箭头函数)

    1.函数可以设置参数默认值 function test1(x,y=1){ console.log(x,y) } test1(10)//10 1 2.rest参数:形式为...变量名 function ...

  3. Spring温故而知新 – AOP代理

    AOP的概念 AOP:Aspect-Oriented Programming(面向切面编程),维基百科的解释如下:Aspect是一种新的模块化机制,用来描述分散在对象.类或者函数中的横切关注点,从关注 ...

  4. TCP分组交换详解

    TCP(Transmission Control Protocol) 传输控制协议 TCP是主机对主机层的传输控制协议,提供可靠的连接服务,采用三次握手确认建立一个连接: 位码即tcp标志位,有6种标 ...

  5. thinkphp框架实现删除上传的文件

    public function article_delete(){ $article_id = I('get.article_id'); $model = M('zx_article'); $data ...

  6. 报错:严重: Servlet.service() for servlet [springmvc] in context with path [ ] threw exception [Request processing failed; nested exception is java.lang.NullPointerException] with root cause

    解决:service类或dao类需要@Autowired

  7. jq slideToggle()坑

    jQuery slideToggle() 方法 jQuery slideToggle() 方法可以在 slideDown() 与 slideUp() 方法之间进行切换. 如果元素向下滑动,则 slid ...

  8. Spring Boot实战笔记(九)-- Spring高级话题(组合注解与元注解)

    一.组合注解与元注解 从Spring 2开始,为了响应JDK 1.5推出的注解功能,Spring开始大量加入注解来替代xml配置.Spring的注解主要用来配置注入Bean,切面相关配置(@Trans ...

  9. Unity3D学习(六):《Unity Shader入门精要》——Unity的基础光照

    前言 光学中,我们是用辐射度来量化光. 光照按照不同的散射方向分为:漫反射(diffuse)和高光反射(specular).高光反射描述物体是如何反射光线的,漫反射则表示有多少光线会被折射.吸收和散射 ...

  10. 字符流Reader和Writer

    1.Rader是字符输入流的父类. 2.Writer是字符输出流的父类. 3.字符流是以字符(char)为单位读取数据的,一次处理一个unicod. 4.字符类的底层仍然是基本的字节流. 5.Read ...