'response_time': {
'options': [None, 'Processing Time', 'milliseconds', 'timings', 'web_log.response_time', 'area'],
'lines': [
- ['resp_time_min', 'min', 'absolute', 1, 1],
- ['resp_time_max', 'max', 'absolute', 1, 1],
- ['resp_time_avg', 'avg', 'absolute', 1, 1]
+ ['resp_time_min', 'min', 'absolute', 1, 1000],
+ ['resp_time_max', 'max', 'absolute', 1, 1000],
+ ['resp_time_avg', 'avg', 'absolute', 1, 1000]
]},
'clients': {
'options': [None, 'Current Poll Unique Client IPs', 'unique ips', 'clients', 'web_log.clients', 'stacked'],
r' ([\d.]+) ')
regex_function = zip([access_apache_ext, access_nginx_ext, access_default],
- [lambda x: x, lambda x: x * 1000, lambda x: x],
+ [lambda x: x, lambda x: x * 1000000, lambda x: x],
['access_apache_ext', 'access_nginx_ext', 'access_default'])
regex_name = None
for regex, function, name in regex_function:
' "" "Requests Per HTTP Method" requests/s "http methods"' \
' web_log.http_method stacked 2 %s\n' % (job_name, self.update_every)
- if regex_name == 'access_apache_ext':
- self.definitions['response_time']['lines'][0][4] = 1000
- self.definitions['response_time']['lines'][1][4] = 1000
- self.definitions['response_time']['lines'][2][4] = 1000
-
# Remove 'request_time' chart from ORDER if request_time not in logs
if regex_name == 'access_default':
self.order.remove('response_time')
# timings
if request_time:
to_netdata['resp_time_min'] = request_time[0]
- to_netdata['resp_time_avg'] = float(request_counter['sum']) / request_counter['count']
+ to_netdata['resp_time_avg'] = round(float(request_counter['sum']) / request_counter['count'])
to_netdata['resp_time_max'] = request_time[-1]
to_netdata.update(self.storage)