文件名：performance.py
# -*-coding:utf8-*-# 性能测试基类import reimport timeimport requestsimport threadingclass Performance(threading.Thread):def __init__(self, url="", method="get", header={}, body="", body_type="json"):threading.Thread.__init__(self)self.url = urlself.method = methodself.header = headerself.body = bodyself.body_type = body_typedef run(self):self.test_performance()def test_performance(self):start_time = time.time()try:response = self.send_request()if response.status_code == 200:status = "success"else:status = "fail"except Exception, e:print estatus = "except"end_time = time.time()spend_time = end_time - start_timereturn status, spend_timedef send_request(self):if re.search(self.method, 'GET', re.IGNORECASE):response = requests.get(self.url, headers=self.header)else:if self.body_type == "json":response = requests.post(self.url, headers=self.header, json=self.body)elif self.body_type == "file":response = requests.post(self.url, headers=self.header, files=self.body)elif self.body_type == "data":response = requests.post(self.url, headers=self.header, data=self.body)return response
调用
# -*-coding:utf8-*-import performance# 取数组的百分比值，如90%响应时间# 90%响应时间的获取规则，参考loadrunner官方文档# 1. Sort the transaction instances by their value.# 2. Remove the top 10% instances.# 3. The highest value left is the 90th percentile.def get_percent_time(data_list, percent):data_list = sorted(data_list)if len(data_list)*(1-percent) <= 1:r_length = 1else:r_length = len(data_list)*(1-percent)r_length = int(round(r_length))data_list = data_list[:len(data_list)-r_length]return data_list[-1]# 设置并发数thread_count = 50# 所有线程花费时间列表spend_time_list = []# 最大响应时间max_time = 0# 最小响应时间min_time = 3600# 小于3秒的请求数less_than_3_total = 0# 大于3秒的请求数more_than_3_total = 0# 成功的请求数success_total = 0# 失败的请求数fail_total = 0# 异常的请求数except_total = 0# 总请求数total = 0# 请求地址url = "http://api-/app/index.php?r=api/v1_4/Recommend/List"# 请求头header = {"Market-Version": "3.1"}i = 0# 所有线程总花费时间time_total = 0while i < thread_count:pf = performance.Performance(url=url, header=header)status, spend_time = pf.test_performance()spend_time_list.append(spend_time)total += 1if status == "success":success_total += 1elif status == "fail":fail_total += 1elif status == "except":except_total += 1if spend_time > max_time:max_time = spend_timeif spend_time < min_time:min_time = spend_timeif spend_time > 3:more_than_3_total += 1else:less_than_3_total += 1time_total += spend_timepf.start()i += 1# 平均响应时间avg_time = time_total/thread_count# 响应时间列表从小到大排序spend_time_list = sorted(spend_time_list)print u"平均响应时间：%s" % avg_timeprint u"最大响应时间：%s" % max_timeprint u"最小响应时间：%s" % min_timeprint u"90%%响应时间：%s" % (get_percent_time(spend_time_list, 0.9))print u"99%%响应时间：%s" % (get_percent_time(spend_time_list, 0.99))print u"80%%响应时间：%s" % (get_percent_time(spend_time_list, 0.8))print u"总请求数：%s" % totalprint u"成功请求数：%s" % success_totalprint u"失败请求数：%s" % fail_totalprint u"异常请求数：%s" % except_totalprint u"大于3秒的请求数：%s" % more_than_3_totalprint u"小于3秒的请求数：%s" % less_than_3_total
运行结果
