本文整理汇总了Python中locust.stats.RequestStats.sum_stats方法的典型用法代码示例。如果您正苦于以下问题：Python RequestStats.sum_stats方法的具体用法？Python RequestStats.sum_stats怎么用？Python RequestStats.sum_stats使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类locust.stats.RequestStats的用法示例。
在下文中一共展示了RequestStats.sum_stats方法的6个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: request_stats
# 需要导入模块: from locust.stats import RequestStats [as 别名]
# 或者: from locust.stats.RequestStats import sum_stats [as 别名]
def request_stats():
global _request_stats_context_cache
if not _request_stats_context_cache or _request_stats_context_cache[
"last_time"
] < time() - _request_stats_context_cache.get("cache_time", DEFAULT_CACHE_TIME):
cache_time = _request_stats_context_cache.get("cache_time", DEFAULT_CACHE_TIME)
now = time()
stats = []
for s in chain(_sort_stats(runners.locust_runner.request_stats), [RequestStats.sum_stats("Total")]):
stats.append(
{
"method": s.method,
"name": s.name,
"num_reqs": s.num_reqs,
"num_failures": s.num_failures,
"avg_response_time": s.avg_response_time,
"min_response_time": s.min_response_time,
"max_response_time": s.max_response_time,
"current_rps": s.current_rps,
"median_response_time": s.median_response_time,
"avg_content_length": s.avg_content_length,
}
)
report = {"stats": stats, "errors": list(runners.locust_runner.errors.iteritems())}
if stats:
report["total_rps"] = stats[len(stats) - 1]["current_rps"]
report["fail_ratio"] = RequestStats.sum_stats("Total").fail_ratio
# since generating a total response times dict with all response times from all
# urls is slow, we make a new total response time dict which will consist of one
# entry per url with the median response time as key and the number of requests as
# value
response_times = defaultdict(int) # used for calculating total median
for i in xrange(len(stats) - 1):
response_times[stats[i]["median_response_time"]] += stats[i]["num_reqs"]
# calculate total median
stats[len(stats) - 1]["median_response_time"] = median_from_dict(
stats[len(stats) - 1]["num_reqs"], response_times
)
is_distributed = isinstance(runners.locust_runner, MasterLocustRunner)
if is_distributed:
report["slave_count"] = runners.locust_runner.slave_count
report["state"] = runners.locust_runner.state
report["user_count"] = runners.locust_runner.user_count
elapsed = time() - now
cache_time = max(
cache_time, elapsed * 2.0
) # Increase cache_time when report generating starts to take longer time
_request_stats_context_cache = {"last_time": elapsed - now, "report": report, "cache_time": cache_time}
else:
report = _request_stats_context_cache["report"]
return json.dumps(report)示例2: request_stats_csv
# 需要导入模块: from locust.stats import RequestStats [as 别名]
# 或者: from locust.stats.RequestStats import sum_stats [as 别名]
def request_stats_csv():
from core import locust_runner
rows = [
",".join([
'"Name"',
'"# requests"',
'"# failures"',
'"Median response time"',
'"Average response time"',
'"Min response time"',
'"Max response time"',
'"Average Content-Length"',
'"Reqests/s"',
])
]
for s in chain(_sort_stats(locust_runner.request_stats), [RequestStats.sum_stats("Total", full_request_history=True)]):
rows.append('"%s",%i,%i,%i,%i,%i,%i,%i,%.2f' % (
s.name,
s.num_reqs,
s.num_failures,
s.median_response_time,
s.avg_response_time,
s.min_response_time or 0,
s.avg_content_length,
s.max_response_time,
s.total_rps,
))
response = make_response("\n".join(rows))
response.headers["Content-type"] = "text/csv"
return response示例3: distribution_stats_csv
# 需要导入模块: from locust.stats import RequestStats [as 别名]
# 或者: from locust.stats.RequestStats import sum_stats [as 别名]
def distribution_stats_csv():
rows = [",".join((
'"Name"',
'"# requests"',
'"50%"',
'"66%"',
'"75%"',
'"80%"',
'"90%"',
'"95%"',
'"98%"',
'"99%"',
'"100%"',
))]
for s in chain(_sort_stats(runners.locust_runner.request_stats), [RequestStats.sum_stats("Total", full_request_history=True)]):
if s.num_reqs:
rows.append(s.percentile(tpl='"%s",%i,%i,%i,%i,%i,%i,%i,%i,%i,%i'))
else:
rows.append('"%s",0,"N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A","N/A"' % s.name)
response = make_response("\n".join(rows))
file_name = "distribution_{0}.csv".format(time())
disposition = "attachment;filename={0}".format(file_name)
response.headers["Content-type"] = "text/csv"
response.headers["Content-disposition"] = disposition
return response示例4: request_stats_csv
# 需要导入模块: from locust.stats import RequestStats [as 别名]
# 或者: from locust.stats.RequestStats import sum_stats [as 别名]
def request_stats_csv():
rows = [
",".join(
[
'"Method"',
'"Name"',
'"# requests"',
'"# failures"',
'"Median response time"',
'"Average response time"',
'"Min response time"',
'"Max response time"',
'"Average Content-Length"',
'"Reqests/s"',
]
)
]
for s in chain(
_sort_stats(runners.locust_runner.request_stats), [RequestStats.sum_stats("Total", full_request_history=True)]
):
rows.append(
'"%s","%s",%i,%i,%i,%i,%i,%i,%i,%.2f'
% (
s.method,
s.name,
s.num_reqs,
s.num_failures,
s.median_response_time,
s.avg_response_time,
s.min_response_time or 0,
s.max_response_time,
s.avg_content_length,
s.total_rps,
)
)
response = make_response("\n".join(rows))
file_name = "requests_{0}.csv".format(time())
disposition = "attachment;filename={0}".format(file_name)
response.headers["Content-type"] = "text/csv"
response.headers["Content-disposition"] = disposition
return response示例5: distribution_stats_csv
# 需要导入模块: from locust.stats import RequestStats [as 别名]
# 或者: from locust.stats.RequestStats import sum_stats [as 别名]
def distribution_stats_csv():
rows = [",".join((
'"Name"',
'"# requests"',
'"50%"',
'"66%"',
'"75%"',
'"80%"',
'"90%"',
'"95%"',
'"98%"',
'"99%"',
'"100%"',
))]
for s in chain(_sort_stats(runners.locust_runner.request_stats), [RequestStats.sum_stats("Total", full_request_history=True)]):
rows.append(s.percentile(tpl='"%s",%i,%i,%i,%i,%i,%i,%i,%i,%i,%i'))
response = make_response("\n".join(rows))
response.headers["Content-type"] = "text/csv"
return response示例6: distribution_stats_csv
# 需要导入模块: from locust.stats import RequestStats [as 别名]
# 或者: from locust.stats.RequestStats import sum_stats [as 别名]
def distribution_stats_csv():
rows = [",".join((
'"Name"',
'"# requests"',
'"50%"',
'"66%"',
'"75%"',
'"80%"',
'"90%"',
'"95%"',
'"98%"',
'"99%"',
'"100%"',
))]
for s in chain(_sort_stats(runners.locust_runner.request_stats), [RequestStats.sum_stats("Total", full_request_history=True)]):
try:
rows.append(s.percentile(tpl='"%s",%i,%i,%i,%i,%i,%i,%i,%i,%i,%i'))
except Exception, e:
logger.error("Failed to calculate percentile for url stats {0}".format(s.name))
logger.exception(e)