appium_python 怎样实现参数化自动生成用例

1.对于一种对同一个页面同一点 要用不同数据测试形成多条测试用例，如果复制的话 会让代码很冗长，并且并不好维护，现在用封装的方法把 不变的代码 和 变化的参数 分别封装，形成动态 生成测试用例 ，主要用到 python中 setattr（）重新定义属性的方法实现 ，具体原理为：如果该对象中没有这种属性，会自动加上这个属性，如果存在，则忽略

好了 上代码：

# conding=utf-
from appium import webdriver
import time
import sys
import re
import HTMLTestRunner
import unittest
import xlrd  #excel驱动程序
from test import test_support
from xlrd import open_workbook

class Login(unittest.TestCase):
    def setUp(self):
        pass

    def clear(self):
        pass

    desired_caps = {
        'platformName': 'Android',
        'deviceName': 'FA56GB105163',
        'platformVersion': '5.0.2',
        'appPackage': 'com.zhonghong.www.qianjinsuo',
        'appActivity': 'com.zhonghong.www.qianjinsuo.main.activity.qjsMian.main.LoadingActivity',
        'unicodeKeyboard': True,  # 使用unicodeKeyboard的编码方式来发送字符串 ,可以实现输入中文
        'resetKeyboard': True  # 隐藏虚拟键盘，防止遮挡元素
    }
    driver = webdriver.Remote('http://127.0.0.1:4723/wd/hub', desired_caps)
    # 休眠15s等待程序启动
    time.sleep()
    driver.find_element_by_id("com.zhonghong.www.qianjinsuo:id/rb_zhiye_service").click()
    print("aaaaaaa")

    def getTest(self, arg1, arg2, arg3, arg4):  # 定义的函数，最终生成的测试用例的执行方法
        if arg1 =='': #判断是否为空
           asx=arg1
        else:asx=int(arg1)
        add=int(arg2)
        eee=arg3
        print(asx)

        self.driver.find_element_by_id("com.zhonghong.www.qianjinsuo:id/textfield_et_phone_num").clear()
        self.driver.find_element_by_id("com.zhonghong.www.qianjinsuo:id/textfield_et_phone_num").send_keys(asx)
        self.driver.find_element_by_id("com.zhonghong.www.qianjinsuo:id/textfield_et_pass").clear()
        self.driver.find_element_by_id("com.zhonghong.www.qianjinsuo:id/textfield_et_pass").send_keys(add)
        self.driver.find_element_by_id("com.zhonghong.www.qianjinsuo:id/login").click()
        time.sleep()
        ee = self.driver.find_elements_by_id("com.zhonghong.www.qianjinsuo:id/tv_error_text")
        self.assertEqual(eee, ee[].text)

    @staticmethod
    def getTestFunc(arg1, arg2, arg3, arg4):
        def func(self):
            self.getTest(arg1, arg2, arg3, arg4)

        return func

def __generateTestCases():
    data = open_workbook('D:\\test.xls')  # 打开文件
    table = data.sheet_by_index()  # 遍历所有数据
    # datas = table.row_values(0) # 获取整列数据
    nrows = table.nrows #获得行数
    list = []
    for i in range(, nrows): #忽略表头 ，开始遍历
        datas = table.row_values(i) #获得每行的数据
        list.append(datas)   #加载到list中

    print(list)
    for args in list:
        print(args)
        setattr(Login, 'test_func_%s' % args[], Login.getTestFunc(*args))  # 通过setattr自动为TestCase类添加成员方法，方法以“test_func_”开头

__generateTestCases()

if __name__ == '__main__':
    suite = unittest.TestSuite()
    suite.addTest(Login('test_func_smillphoone'))
    suite.addTest(Login('test_func_longphone'))
    suite.addTest(Login('test_func_nullphone'))
    timestr = time.strftime('%Y%m%d%H%M%S',time.localtime(time.time()))
    filename = "D:\\result_" + timestr + ".html"
    print (filename)
    fp = open(filename, 'wb')
    runner = HTMLTestRunner.HTMLTestRunner(
                stream=fp,
                title='测试结果',
                description='测试报告'
                )
    #suite = unittest.TestLoader().loadTestsFromTestCase(ContactsAndroidTests)
    #unittest.TextTestRunner(verbosity=).run(suite)
    runner.run(suite)
    #g_browser.quit()
    fp.close() #测试报告关闭

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" alt="excel" />

username	password	duanyan	用例
1111	1234567	请输入正确的手机号	smillphoone
22222222222	1111111	请输入正确的手机号	longphone
	123456	请输入手机号	nullphone

执行结果：

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" 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