def build_alarm(self, name):
"""Build alarm json."""
alarm = {}
id = str(uuid.uuid4())
alarm['id'] = id
alarm['alarm_definition_id'] = self.alarm_definition['id']
alarm['metrics'] = self.related_metrics[name]
alarm['state'] = self.expr_data_queue[name]['state']
alarm['reason'] = reasons[alarm['state']]
alarm['reason_data'] = {}
sub_alarms = []
dt = self.expr_data_queue[name]['data']
for expr in self.sub_expr_list:
sub_alarms.append({
'sub_alarm_expression':
self.sub_alarm_expr[expr.fmtd_sub_expr_str],
'sub_alarm_state': dt[expr.fmtd_sub_expr_str]['state'],
'current_values': dt[expr.fmtd_sub_expr_str]['values']
})
alarm['sub_alarms'] = sub_alarms
ct = self.expr_data_queue[name]['create_timestamp']
st = self.expr_data_queue[name]['state_update_timestamp']
t = self.expr_data_queue[name]['update_timestamp']
alarm['state_updated_timestamp'] = tu.iso8601_from_timestamp(st)
alarm['updated_timestamp'] = tu.iso8601_from_timestamp(t)
alarm['created_timestamp'] = tu.iso8601_from_timestamp(ct)
return json.dumps(alarm)
def build_alarm(self, name):
"""Build alarm json."""
alarm = {}
id = str(uuid.uuid4())
alarm['id'] = id
alarm['alarm_definition'] = self.alarm_definition
alarm['metrics'] = self.related_metrics[name]
alarm['state'] = self.expr_data_queue[name]['state']
alarm['reason'] = reasons[alarm['state']]
alarm['reason_data'] = {}
sub_alarms = []
dt = self.expr_data_queue[name]['data']
for expr in self.sub_expr_list:
sub_alarms.append({
'sub_alarm_expression':
self.sub_alarm_expr[expr.fmtd_sub_expr_str],
'sub_alarm_state':
dt[expr.fmtd_sub_expr_str]['state'],
'current_values':
dt[expr.fmtd_sub_expr_str]['values']
})
alarm['sub_alarms'] = sub_alarms
ct = self.expr_data_queue[name]['create_timestamp']
st = self.expr_data_queue[name]['state_update_timestamp']
t = self.expr_data_queue[name]['update_timestamp']
alarm['state_updated_timestamp'] = tu.iso8601_from_timestamp(st)
alarm['updated_timestamp'] = tu.iso8601_from_timestamp(t)
alarm['created_timestamp'] = tu.iso8601_from_timestamp(ct)
return json.dumps(alarm)
def get_metric_not_match(self):
list = []
metrics = {
"name": "biz",
"dimensions": {"hostname": "h1", "key2": "value2"},
"timestamp": tu.iso8601_from_timestamp(tu.utcnow_ts()),
"value": 1300,
}
list.append(json.dumps(metrics))
metrics = {
"name": "biz",
"dimensions": {"hostname": "h1", "key1": "value1", "key3": "value3"},
"value": 15000,
"timestamp": tu.iso8601_from_timestamp(tu.utcnow_ts()),
}
list.append(json.dumps(metrics))
metrics = {
"name": "biz",
"dimensions": {"hostname": "h1", "key2": "value1", "key3": "value3"},
"value": 15000,
"timestamp": tu.iso8601_from_timestamp(tu.utcnow_ts()),
}
list.append(json.dumps(metrics))
metrics = {
"name": "biz",
"dimensions": {"key2": "value1", "key3": "value3"},
"value": 15000,
"timestamp": tu.iso8601_from_timestamp(tu.utcnow_ts()),
}
list.append(json.dumps(metrics))
return list
def get_metric2_2(self):
list = []
for i in range(0, 10, 1):
metrics = {
"name": "foo",
"dimensions": {"key1": "value1", "key2": "value2"},
"timestamp": tu.iso8601_from_timestamp(tu.utcnow_ts() + i * 20 - 140),
"value": i * 10 + 200,
}
list.append(json.dumps(metrics))
return list
def get_metric0(self):
list = []
metrics = {
"name": "baz",
"dimensions": {"घोड़ा": "馬", "dn2": "dv2", "千幸福的笑脸घ": "千幸福的笑脸घ"},
"timestamp": tu.iso8601_from_timestamp(tu.utcnow_ts()),
"value": 1500,
}
list.append(json.dumps(metrics))
metrics = {
"name": "-_.千幸福的笑脸",
"dimensions": {"घोड़ा": "馬", "dn2": "dv2", "千幸福的笑脸घ": "千幸福的笑脸घ"},
"timestamp": tu.iso8601_from_timestamp(tu.utcnow_ts()),
"value": 1500,
}
list.append(json.dumps(metrics))
metrics = {
"name": "ເຮືອນ",
"dimensions": {"dn3": "dv3", "家": "дом"},
"timestamp": tu.iso8601_from_timestamp(tu.utcnow_ts()),
"value": 5,
}
list.append(json.dumps(metrics))
metrics = {
"name": "biz",
"dimensions": {"dn5": "dv58"},
"timestamp": tu.iso8601_from_timestamp(tu.utcnow_ts()),
"value": 5,
}
list.append(json.dumps(metrics))
metrics = {
"name": "biz",
"dimensions": {"dn5": "dv58"},
"timestamp": tu.iso8601_from_timestamp(tu.utcnow_ts()),
"value": 95,
}
list.append(json.dumps(metrics))
return list
def get_metric5(self):
list = []
metrics = {
"name": "biz",
"dimensions": {"hostname": "h1", "key2": "value2"},
"timestamp": tu.iso8601_from_timestamp(tu.utcnow_ts()),
"value": 2000,
}
list.append(json.dumps(metrics))
metrics = {
"name": "biz",
"dimensions": {"hostname": "h1", "system": "windows", "key2": "value2"},
"timestamp": tu.iso8601_from_timestamp(tu.utcnow_ts()),
"value": 1300,
}
list.append(json.dumps(metrics))
metrics = {
"name": "biz",
"dimensions": {"hostname": "h1", "system": "linux", "key2": "value2"},
"timestamp": tu.iso8601_from_timestamp(tu.utcnow_ts() - 30),
"value": 1200,
}
list.append(json.dumps(metrics))
metrics = {
"name": "biz",
"dimensions": {"hostname": "h1", "system": "windows", "key1": "value1", "key2": "value2", "key3": "value3"},
"timestamp": tu.iso8601_from_timestamp(tu.utcnow_ts()),
"value": 1601,
}
list.append(json.dumps(metrics))
metrics = {
"name": "biz",
"dimensions": {"hostname": "h2", "system": "linux", "key1": "value1", "key2": "value2", "key3": "value3"},
"timestamp": tu.iso8601_from_timestamp(tu.utcnow_ts()),
"value": 1601,
}
list.append(json.dumps(metrics))
return list
def update_sub_expr_state(self, expr, expr_data):
def _update_metrics():
"""Delete metrics not in period."""
data_list = expr_data['data'][expr.fmtd_sub_expr_str]['metrics']
start_time = t_now - (float(expr.period) + 2) * int(expr.periods)
while (len(data_list) != 0
and data_list[0]['timestamp'] < start_time):
data_list.popleft()
def _update_state():
"""Update state of a sub expr."""
data_sub = expr_data['data'][expr.fmtd_sub_expr_str]
data_list = data_sub['metrics']
if len(data_list) == 0:
data_sub['state'] = 'UNDETERMINED'
else:
period = float(expr.period)
periods = int(expr.periods)
right = t_now
left = right - period
temp_data = []
value_in_periods = []
for i in range(len(data_list) - 1, -1, -1):
if data_list[i]['timestamp'] >= left:
temp_data.append(float(data_list[i]['value']))
else:
value = calculator.calc_value(
expr.normalized_func, temp_data)
value_in_periods.append(value)
right = left
left = right - period
temp_data = []
value = calculator.calc_value(
expr.normalized_func, temp_data)
value_in_periods.append(value)
for i in range(len(value_in_periods), periods, 1):
value_in_periods.append(None)
expr_data['data'][expr.fmtd_sub_expr_str]['values'] = (
value_in_periods)
expr_data['data'][expr.fmtd_sub_expr_str]['state'] = (
calculator.compare_thresh(
value_in_periods,
expr.normalized_operator,
float(expr.threshold)))
t_now = tu.iso8601_from_timestamp(tu.utcnow_ts())
t_now = tu.parse_isotime(t_now).timetuple()
t_now = time.mktime(t_now)
_update_metrics()
_update_state()
def _render_metric(dim):
source = dim['dimension']['hits']['hits'][0]['_source']
yield '{"name":"' + source['name'] + '","dimensions":'
yield json.dumps(source['dimensions'])
yield ',"columns":["id","timestamp","value"],"measurements":['
is_first = True
for measure in dim['measures']['hits']['hits']:
ss = measure['_source']
m = ('["' + measure['_id'] + '","' +
tu.iso8601_from_timestamp(ss['timestamp']) +
'",' + str(ss['value']) + ']')
if is_first:
yield m
is_first = False
else:
yield ',' + m
yield ']}'
def _render_metric(dim):
source = dim['dimension']['hits']['hits'][0]['_source']
yield '{"name":"' + source['name'] + '","dimensions":'
yield json.dumps(source['dimensions'])
yield ',"columns":["id","timestamp","value"],"measurements":['
is_first = True
for measure in dim['measures']['hits']['hits']:
ss = measure['_source']
m = ('["' + measure['_id'] + '","' +
tu.iso8601_from_timestamp(ss['timestamp']) +
'",' + str(ss['value']) + ']')
if is_first:
yield m
is_first = False
else:
yield ',' + m
yield ']}'
def _render_stats(dim):
source = dim['dimension']['hits']['hits'][0]['_source']
yield '{"name":"' + source['name'] + '","dimensions":'
yield json.dumps(source['dimensions'])
yield ',"columns":' + col_json + ',"statistics":['
is_first = True
for item in dim['periods']['buckets']:
m = ('["' + tu.iso8601_from_timestamp(item['key']) +
'"')
for s in stats:
m += ',' + str(item['statistics'][s])
m += ']'
if is_first:
yield m
is_first = False
else:
yield ',' + m
yield ']}'
def _render_stats(dim):
source = dim['dimension']['hits']['hits'][0]['_source']
yield '{"name":"' + source['name'] + '","dimensions":'
yield json.dumps(source['dimensions'])
yield ',"columns":' + col_json + ',"statistics":['
is_first = True
for item in dim['periods']['buckets']:
m = ('["' + tu.iso8601_from_timestamp(item['key']) +
'"')
for s in stats:
m += ',' + str(item['statistics'][s])
m += ']'
if is_first:
yield m
is_first = False
else:
yield ',' + m
yield ']}'
