def test_from_json(self):
item = {
'usage_perc_all_services': 1.22,
'all_services_time': 4360,
'time_perc_all_services': 17.64,
'mean_trend':
'0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,769,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0',
'min_resp_time': 769.0,
'service_name': 'zato.stats.summary.create-summary-by-year',
'max_resp_time': 769.0,
'rate': 0.0,
'mean_all_services': '63',
'all_services_usage': 82,
'time': 769.0,
'usage': 1,
'usage_trend':
'0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0',
'mean': 12.61
}
stats_elem = StatsElem.from_json(item)
for k, v in item.items():
value = getattr(stats_elem, k)
eq_(v, value)
def test_from_json(self):
item = {'usage_perc_all_services': 1.22, 'all_services_time': 4360,
'time_perc_all_services': 17.64,
'mean_trend': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,769,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0',
'min_resp_time': 769.0, 'service_name': 'zato.stats.summary.create-summary-by-year',
'max_resp_time': 769.0, 'rate': 0.0, 'mean_all_services': '63',
'all_services_usage': 82, 'time': 769.0, 'usage': 1,
'usage_trend': '0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0',
'mean': 12.61}
stats_elem = StatsElem.from_json(item)
for k, v in item.items():
value = getattr(stats_elem, k)
eq_(v, value)
def _get_stats(client, start, stop, n, n_type, stats_type=None):
""" Returns at most n statistics elements of a given n_type for the period
between start and stop.
"""
out = []
input_dict = {'start':start, 'n':n, 'n_type':n_type}
if stop:
input_dict['stop'] = stop
if stats_type == 'trends':
service_name = 'zato.stats.trends.get-trends'
else:
service_name = 'zato.stats.summary.get-summary-by-range'
response = client.invoke(service_name, input_dict)
if response.has_data:
for item in response.data:
out.append(StatsElem.from_json(item))
return out
def _get_stats(client, start, stop, n, n_type, stats_type=None):
""" Returns at most n statistics elements of a given n_type for the period
between start and stop.
"""
out = []
input_dict = {'start': start, 'n': n, 'n_type': n_type}
if stop:
input_dict['stop'] = stop
if stats_type == 'trends':
service_name = 'zato.stats.trends.get-trends'
else:
service_name = 'zato.stats.summary.get-summary-by-range'
response = client.invoke(service_name, input_dict)
if response.has_data:
for item in response.data:
out.append(StatsElem.from_json(item))
return out