Python 3.x基于Xml数据的Http请求方法

# TradeWeb测试脚本import threading, time, http.client, urllib.request, os#import matplotlib.pyplot as pltURL = 'http://127.0.0.1:8888/XXXXXXXXX/httpXmlServlet' # 在配置文件中读取，此处将无效TOTAL = 0; # 总数SUCC = 0; # 响应成功数量FAIL = 0; # 响应失败数量EXCEPT = 0 # 响应异常数 MAXTIME = 0 # 最大响应时间 MINTIME = 100 # 最小响应时间，初始值为100秒COUNT_TIME = 0 # 总时间THREAD_COUNT = 0 # 记录线程数量CODE_MAP = {200:0, 301:0, 302:0, 304:0} # 状态码信息(部分)RESULT_FILE = 'tradeWebResult.xml'  # 输出结果文件REQUEST_DATA_FILE = 'requestData.config'  # 数据文件DATA = '''请在tradeWebRequestData.config文件中配置'''TIME_LIST = [] # 记录访问时间#创建一个threading.Thread的派生类class RequestThread(threading.Thread): #构造函数 def __init__(self, thread_name): threading.Thread.__init__(self) self.test_count = 0; #线程运行的入口函数 def run(self): global THREAD_COUNT THREAD_COUNT += 1 #print("Start the count of thread:%d" %(THREAD_COUNT)) self.testPerformace() #测试性能方法 def testPerformace(self): global TOTAL  global SUCC  global FAIL  global EXCEPT  global DATA global COUNT_TIME global CODE_MAP global URL try:  st = time.time() #记录开始时间  start_time  cookies = urllib.request.HTTPCookieProcessor()  opener = urllib.request.build_opener(cookies)  resp = urllib.request.Request(url=URL,     headers={'Content-Type':'text/xml', 'Connection':'Keep-Alive'},     data=DATA.encode('gbk'))  respResult = opener.open(resp)  # 记录状态码 START  code = respResult.getcode()  if code == 200:  SUCC += 1  else:  FAIL += 1  if code in CODE_MAP.keys():  CODE_MAP[code] += 1  else:  CODE_MAP[code] = 1  # print(request.status)  # 记录状态码 END    html = respResult.read().decode('gbk')  print(html)  time_span = time.time() - st # 计算访问时间  # 记录访问时间  TIME_LIST.append(round(time_span * 1000))  # print('%-13s: %f ' %(self.name, time_span))  self.maxtime(time_span)  self.mintime(time_span)  self.writeToFile(html)  # info = respResult.info() # 响应头信息  # url = respResult.geturl() # URL地址  # print(info);  # print(url)  COUNT_TIME += time_span  TOTAL += 1 except Exception as e:  print(e)  TOTAL += 1  EXCEPT += 1 # 设置最大时间，如果传入的时间大于当前最大时间 def maxtime(self, ts): global MAXTIME #print("time:%f" %(ts)) if ts > MAXTIME:  MAXTIME = ts # 设置最小时间，如果传入的时间小于当前最小时间 def mintime(self, ts): global MINTIME #print("time:%f" %(ts)) if ts < MINTIME and ts > 0.000000000000000001:  MINTIME = ts # 写入文件 def writeToFile(self, html): f = open(RESULT_FILE, 'w') f.write(html) f.write('/r/n') f.close();# 读取XML数据信息def loadData(): global URL global DATA f = open(REQUEST_DATA_FILE, 'r') URL = "".join(f.readline()) DATA = "".join(f.readlines()) # print(DATA) f.close()if __name__ == "__main__": # print("============测试开始============") print("") # 开始时间 start_time = time.time() # 并发的线程数 thread_count = 1 loadData() # 加载请求数据 i = 0 while i < thread_count: t = RequestThread("Thread" + str(i)) t.start() i += 1 t = 0 while TOTAL < thread_count and t < 60: # print("total:%d, succ:%d, fail:%d, except:%d/n" %(TOTAL,SUCC,FAIL,EXCEPT)) print("正在请求 ",URL) t += 1 time.sleep(1) # 打印信息 print() print("请求", URL, "的统计信息：") print(" 总请求数 = %d，成功 = %d，失败 = %d，异常 = %d" %(TOTAL, SUCC, FAIL, EXCEPT)) print() print("往返程的估计时间(以毫秒为单位)：") print(" 合计 =", int(COUNT_TIME * 1000), "ms", end = '') print(" 最大 =", round(MAXTIME * 1000), "ms", end = '') print(" 最小 =", round(MINTIME * 1000), "ms", end = '') print(" 平均 =", round((COUNT_TIME / thread_count) * 1000), "ms") print() print("响应的状态码与次数信息(状态码:次数)：") print(" ", CODE_MAP) print() print("输出页面请查看", RESULT_FILE, "文件(建议使用浏览器或XML专业工具打开)") print() # os.system("pause") print(TIME_LIST) input()

http://127.0.0.1:8888/XXXXXXXXX/httpXmlServlet<?xml version=“1.0” encoding = “GB2312”?><COM><REQ name="commodity_query"><USER_ID>0001</USER_ID><COMMODITY_ID>0000</COMMODITY_ID><SESSION_ID>4918081208706966071</SESSION_ID></REQ></COM>