介绍：框架采用excel驱动unittest 完成ui自动化测试
安装python、selenium的方法就不说了，网上一大把，直接进入正题
1.data数据源：
动作：封装selenium各种动作
定位类型：定位元素的方式
定位值：与定位类型匹配使用
输入值：与动作匹配使用
2.变量文件
为了数据后期更好维护，用一个csv文件放置变量
casedata中可直接引用变量值（采用jmeter变量思想）
3.框架介绍
配置文件：config.conf
#运行模式
[mode]
mode = normal
#normal模式下各个文件路径
[normal]
file = ./data/客户端.xlsx
sheet = BB电子
var_file = ./data/变量.csv
读取excel文件：excelutil
#-*- coding:utf-8 -*-
import xlrd
import json
import csv
import re
import config
from pylog import Pylog
‘‘‘获取测试数据‘‘‘
class ExcelUtil:
def __init__(self,file,sheetname):
self.sheetname = sheetname
self.dataSheet = xlrd.open_workbook(file).sheet_by_name(sheetname)
# get titles
self.row = self.dataSheet.row_values(0)
# get rows number
self.rowNum = self.dataSheet.nrows
# get columns number
self.colNum = self.dataSheet.ncols
# the current column
self.curRowNo = 1
#获取用例数据
def get_excel(self):
var_file = config.get_config("normal","var_file")
r = []
while self.hasNext():
s = {}
col = self.dataSheet.row_values(self.curRowNo)
i = self.colNum
for x in range(i):
s[self.row[x]] = col[x]
#重置用例名称
s["用例No"] = self.sheetname + str(s["用例No"])
#引入变量
if s["输入值"][:2] == "${":
var = re.findall(‘{(.*)}‘, s["输入值"], re.S)[0]
vars = self.get_var(var=var,var_file=var_file)
s["输入值"] = vars
#引入其他用例集
try:
if s["动作"] == "引入":
file = ‘./data/‘+json.loads(s["输入值"])["file"]
sheet = json.loads(s["输入值"])["sheet"]
aimslist = ExcelUtil(file=file,sheetname=sheet).get_excel()
r.extend(aimslist)
else:
r.append(s)
except Exception as e :
Pylog.error("引入用例错误..." + str(e) + "|"+ s["输入值"])
self.curRowNo += 1
return r
#遍历
def hasNext(self):
if self.rowNum == 0 or self.rowNum <= self.curRowNo:
return False
else:
return True
#获取变量
def get_var(self,var="all_vars",var_file=None):
dic = {}
try:
with open(var_file,‘r‘) as file:
reader = csv.reader(file)
for row in reader:
dic[row[0]] = row[1]
if var == "all_vars":
return dic
return dic[var]
except Exception as e :
Pylog.error("读取变量错误："+str(e))
日志文件：pylog
import logging
import time
class Pylog:
def __init__(self):
##############################日志配置############################################################
logging.basicConfig(level=logging.DEBUG,
format=‘%(asctime)s %(filename)s[line:%(lineno)d] %(levelname)s %(message)s‘,
datefmt=‘%a, %d %b %Y %H:%M:%S‘,
# filename="./log/"+ time.strftime(‘%Y%m%d%H%M%S‘,time.localtime(time.time()))+".log",
filename="./Report/test.log",
filemode=‘w‘)
console = logging.StreamHandler()
console.setLevel(logging.INFO)
formatter = logging.Formatter(‘%(name)-12s: %(levelname)-8s %(message)s‘)
console.setFormatter(formatter)
logging.getLogger(‘‘).addHandler(console)
###################################################################################################
@staticmethod
def info(data = None):
logging.info(data)
@staticmethod
def debug(data = None):
logging.debug(data)
@staticmethod
def error(data = None):
logging.error(data)
@staticmethod
def warning(data = None):
logging.warning(data)
获取测试数据：
import config
from pylog import Pylog
from excelutil import ExcelUtil
import json
class Predata:
def __init__(self):
pass
def get_data(self):
datalist = []
mode = config.get_config("mode", "mode")
file = config.get_config("normal","file")
sheet = config.get_config("normal","sheet")
if mode == "normal":
datalist = self.get_exceldata(file,sheet)
return datalist
def get_exceldata(self,file,sheet):
datalist = ExcelUtil(file,sheet).get_excel()
n = 0
for item in datalist:
item["用例No"] = str(10000+n) + item["用例No"]
n += 1
return datalist
单元测试部分：
import unittest
import config
import ddtSelenium
import time
from pylog import Pylog
from action import Action
from predata import Predata
@ddtSelenium.ddt
class Case(unittest.TestCase):
@classmethod
def setUpClass(cls):
cls.action = Action()
#进入浏览器设置
# options = cls.action.driver.webdriver.ChromeOptions()
# options.add_argument()
@classmethod
def tearDownClass(cls):
time.sleep(3)
# cls.action.driver.close()
@ddtSelenium.data(*Predata().get_data())
def testcase(self, data):
Pylog.info(str(data[list(data.keys())[0]]) + "开始")
if data["动作"] == "等待":
time.sleep(int(data["输入值"]))
else:
text = self.action.pre_do(data)
if data["动作"] == "断言":
Pylog.info("断言："+ str(data[list(data.keys())[0]]))
if text != data["输入值"]:
Pylog.info("断言截图：" + str(data[list(data.keys())[0]]))
self.action.driver.save_png(‘./Report/‘+data[‘用例No‘]+‘.jpg‘)
self.assertEqual(text, data["输入值"])
action部分：（pyse引用虫师封装py）
from pylog import Pylog
from pyse import Pyse
import os
import config
from predata import Predata
class Action:
def __init__(self):
self.driver = Pyse("chrome")
def pre_do(self,data):
if config.get_config("mode","mode") == "normal":
return self.do_action(data)
def do_action(self,data):
try:
if data["动作"] == "断言":
text = self.driver.get_element(data["定位类型"] + ‘=>‘ + data["定位值"]).text
return text
if data["动作"] == "打开":
self.driver.open(data["输入值"])
if data["动作"] == "点击":
self.driver.click(data["定位类型"] + ‘=>‘ + data["定位值"])
if data["动作"] == "清除":
self.driver.clear(data["定位类型"] + ‘=>‘ + data["定位值"])
# if data["动作"] == "等待":
# self.driver.wait(int(data["输入值"]))
if data["动作"] == "输入":
self.driver.type(data["定位类型"] + ‘=>‘ + data["定位值"],data["输入值"])
if data["动作"] == "滚动条下拉":
self.driver.js( "var q=document.body.scrollTop="+data["输入值"]+";")
if data["动作"] == "等待元素":
self.driver.element_wait(data["定位类型"] + ‘=>‘ + data["定位值"],10)
if data["动作"] == "最大化":
self.driver.max_window()
if data["动作"] == "关闭浏览器":
self.driver.close()
if data["动作"] == "外调程序":
os.system(data["输入值"])
except Exception as e :
Pylog.error("异常截图-"+data["动作"]+str(e))
self.driver.save_png(‘./Report/‘+data[‘用例No‘]+‘.jpg‘)
框架源码：https://github.com/Acguo
时间： 2024-10-06 02:51:15