影刀RPA 自动化测试入门用RPA做接口和界面回归测试作者林焱写在前面影刀RPA不只能做数据采集和办公自动化还能做自动化测试。对于没有专职QA团队的小团队来说用影刀搭建一套轻量的接口界面回归测试成本极低效果明显。本文讲清楚两类测试的搭建方法接口自动化测试验证后端接口正确性和界面自动化测试验证前端页面交互。一、接口自动化测试拼多多店群自动化报活动上架测试框架思路importrequestsimportjsonimportdatetimeclassApiTestRunner:简单的接口测试框架def__init__(self,base_url,auth_tokenNone):self.base_urlbase_url self.headers{Content-Type:application/json}ifauth_token:self.headers[Authorization]fBearer{auth_token}self.results[]defrun_test(self,test_name,method,path,payloadNone,expected_status200,expected_fieldsNone,expected_valuesNone): 执行单个接口测试 expected_fields: 期望响应中存在的字段列表 expected_values: 期望的键值对如 {code: 0, message: success} urlf{self.base_url}{path}try:ifmethod.upper()GET:resprequests.get(url,headersself.headers,paramspayload)elifmethod.upper()POST:resprequests.post(url,headersself.headers,jsonpayload)elifmethod.upper()PUT:resprequests.put(url,headersself.headers,jsonpayload)elifmethod.upper()DELETE:resprequests.delete(url,headersself.headers)result{test_name:test_name,url:url,method:method,status_code:resp.status_code,response_time_ms:round(resp.elapsed.total_seconds()*1000),passed:True,errors:[]}# 检查状态码ifresp.status_code!expected_status:result[passed]Falseresult[errors].append(f状态码期望{expected_status}实际{resp.status_code})# 解析响应try:resp_dataresp.json()except:resp_data{}ifexpected_fieldsorexpected_values:result[passed]Falseresult[errors].append(响应不是有效JSON)# 检查字段存在ifexpected_fields:forfieldinexpected_fields:iffieldnotinresp_data:result[passed]Falseresult[errors].append(f响应缺少字段{field})# 检查字段值ifexpected_values:forkey,expected_valinexpected_values.items():actual_valresp_data.get(key)ifactual_val!expected_val:result[passed]Falseresult[errors].append(f字段{key}期望{expected_val}实际{actual_val})result[response_body]str(resp_data)[:500]# 记录部分响应exceptExceptionase:result{test_name:test_name,url:url,method:method,passed:False,errors:[str(e)],response_time_ms:0,response_body:}self.results.append(result)status✅ PASSifresult[passed]else❌ FAILprint(f{status}[{result.get(response_time_ms,0)}ms]{test_name})ifnotresult[passed]:forerrinresult[errors]:print(f ↳{err})returnresultdefgenerate_report(self,output_filetest_report.xlsx):生成测试报告importopenpyxlfromopenpyxl.stylesimportPatternFill,Font wbopenpyxl.Workbook()wswb.active ws.title测试结果# 统计totallen(self.results)passedsum(1forrinself.resultsifr[passed])failedtotal-passed ws.append([测试报告,f生成时间{datetime.datetime.now().strftime(%Y-%m-%d %H:%M:%S)}])ws.append([f总用例{total},f通过{passed},f失败{failed}])ws.append([])ws.append([测试名称,请求方法,URL,状态码,响应时间(ms),结果,错误信息])green_fillPatternFill(start_color90EE90,fill_typesolid)red_fillPatternFill(start_colorFF6B6B,fill_typesolid)forresultinself.results:row[result[test_name],result.get(method,),result.get(url,),result.get(status_code,),result.get(response_time_ms,),PASSifresult[passed]elseFAIL,; .join(result.get(errors,[]))]ws.append(row)# 着色fillgreen_fillifresult[passed]elsered_fillforcellinws[ws.max_row]:cell.fillfill wb.save(output_file)print(f\n 测试报告已生成{output_file})print(f通过率{passed}/{total}({round(passed/total*100)}%))定义并执行测试用例# 初始化测试运行器runnerApiTestRunner(https://api.yourapp.com,auth_token你的token)# 用户模块测试runner.run_test(获取用户信息,GET,/api/user/profile,expected_status200,expected_fields[id,name,email],expected_values{code:0})runner.run_test(更新用户信息,PUT,/api/user/profile,payload{name:测试用户,phone:13800138000},expected_status200,expected_values{code:0,message:更新成功})# 订单模块测试runner.run_test(创建订单,POST,/api/orders,payload{product_id:PROD_001,quantity:2,address:北京市朝阳区xxx},expected_status201,expected_fields[order_id,status,created_at])runner.run_test(获取订单列表,GET,/api/orders,payload{page:1,size:10},expected_status200,expected_fields[total,items])# 边界条件测试runner.run_test(越权访问测试,GET,/api/admin/users,expected_status403# 期望返回403禁止访问)runner.run_test(无效参数测试,POST,/api/orders,payload{product_id:,quantity:-1},expected_status400# 期望返回400参数错误)# 生成报告runner.generate_report(api_test_report.xlsx)二、界面自动化测试界面测试核心方法importpyautoguiimporttimeclassUITestRunner:界面自动化测试框架def__init__(self):self.results[]pyautogui.FAILSAFETruepyautogui.PAUSE0.3deffind_element(self,image_file,timeout10,confidence0.85):等待并查找界面元素starttime.time()whiletime.time()-starttimeout:locationpyautogui.locateOnScreen(image_file,confidenceconfidence)iflocation:returnlocation time.sleep(0.5)returnNonedefclick_element(self,image_file,test_step,timeout10):点击界面元素locationself.find_element(image_file,timeout)iflocation:pyautogui.click(pyautogui.center(location))returnTrueprint(f⚠️ 步骤失败{test_step}- 未找到元素{image_file})returnFalsedefinput_text(self,image_file,text,clear_firstTrue):在输入框中输入文本locationself.find_element(image_file)iflocation:pyautogui.click(pyautogui.center(location))ifclear_first:pyautogui.hotkey(ctrl,a)pyautogui.typewrite(text,interval0.05)returnTruereturnFalsedefverify_text_visible(self,expected_text,screenshotNone):验证文字是否在界面上可见OCR识别# 使用影刀的OCR指令或pytesseracttry:importpytesseractfromPILimportImageifscreenshotisNone:screenshotpyautogui.screenshot()text_foundpytesseract.image_to_string(screenshot,langchi_simeng)returnexpected_textintext_foundexceptImportError:# 如果没有tesseract用图像匹配替代print(提示安装pytesseract可以做更精确的文字识别)returnFalsedefrun_test_case(self,test_name,test_func):执行测试用例并记录结果print(f\n▶ 执行测试{test_name})start_timetime.time()try:successtest_func()elapsedround((time.time()-start_time)*1000)result{name:test_name,passed:success,time_ms:elapsed,error:}print(f{✅ PASSifsuccesselse❌ FAIL}[{elapsed}ms])exceptExceptionase:elapsedround((time.time()-start_time)*1000)result{name:test_name,passed:False,time_ms:elapsed,error:str(e)}print(f❌ ERROR [{elapsed}ms]:{e})# 截图保存错误现场pyautogui.screenshot(ftest_error_{test_name}_{int(time.time())}.png)self.results.append(result)returnresult[passed]示例登录功能回归测试ui_runnerUITestRunner()deftest_login_success():测试正常登录流程# 点击登录按钮ifnotui_runner.click_element(login_btn.png,点击登录按钮):returnFalsetime.sleep(1)# 输入用户名ifnotui_runner.input_text(username_field.png,testexample.com):returnFalse# 输入密码ifnotui_runner.input_text(password_field.png,Test12345):returnFalse# 点击确认ifnotui_runner.click_element(submit_btn.png,点击提交):returnFalsetime.sleep(2)# 验证登录成功检查首页元素是否出现dashboardui_runner.find_element(dashboard_title.png,timeout10)returndashboardisnotNonedeftest_login_with_wrong_password():测试错误密码时的提示ifnotui_runner.click_element(login_btn.png,点击登录):returnFalseui_runner.input_text(username_field.png,testexample.com)ui_runner.input_text(password_field.png,wrongpassword)ui_runner.click_element(submit_btn.png,提交)time.sleep(1)# 检查是否出现错误提示error_msgui_runner.find_element(error_message.png,timeout5)returnerror_msgisnotNone# 执行测试套件ui_runner.run_test_case(正常登录,test_login_success)ui_runner.run_test_case(错误密码登录,test_login_with_wrong_password)# 打印结果passedsum(1forrinui_runner.resultsifr[passed])print(f\n 测试完成 )print(f通过{passed}/{len(ui_runner.results)})三、持续集成每次发版前自动运行测试在影刀中创建一个定时任务在每次发布前比如下午5点自动运行测试套件importsubprocessimportsmtplibfromemail.mime.multipartimportMIMEMultipartfromemail.mime.baseimportMIMEBasefromemailimportencodersdefrun_all_tests_and_notify():运行所有测试并通过邮件发送报告print(开始执行自动化测试套件...)# 执行接口测试runnerApiTestRunner(https://api.yourapp.com,token)# ... 定义所有用例 ...runner.generate_report(api_report.xlsx)totallen(runner.results)passedsum(1forrinrunner.resultsifr[passed])# 发送邮件通知ifpassedtotal:subjectf⚠️ 自动化测试失败 -{passed}/{total}通过else:subjectf✅ 自动化测试全通过 -{total}/{total}# 通过影刀邮件指令或Python smtplib发送print(f测试完成{subject})run_all_tests_and_notify()TEMU店群矩阵自动化运营核价报活动四、踩坑记录坑1图像识别受分辨率和缩放影响UI测试用的图片素材必须在测试运行的机器上截取屏幕缩放比例125%/150%会导致图像匹配失败。建议将系统缩放设为100%来截图。坑2测试环境数据污染自动化测试会创建测试订单、测试用户等数据。需要有专门的测试环境或测试完毕后清理数据不要在生产环境跑测试。坑3界面测试速度太慢界面测试比接口测试慢10-20倍。全量界面回归建议在凌晨离峰时间执行平时只执行核心路径冒烟测试。坑4弹窗和loading遮挡页面加载动画或意外弹窗会导致元素找不到。在关键操作后加time.sleep(2)或等待loading消失再继续。总结用影刀做自动化测试的核心价值不需要专职QA发版前10分钟自动跑完回归测试有问题立即通知。接口测试优先快、准、稳界面测试补充核心流程。署名林焱