def parse_alert_metrics(self, alert_json):
"""{
EvalData: {
evalMatches:[{
metric: "tendrl.clusters.ab3b125e-4769-4071-
a349-e82b380c11f4.nodes.{host_name}.
bricks.|root|gluster_bricks
|vol1_b2.utilization.percent-percent_bytes",
tags: null,
value: 15.614466017499998
}]
},
Settings: {
conditions: - [{
evaluator: - {
params: - [15],
type: "gt"
},
query : {
model : {
target: "tendrl.clusters.ab3b125e-4769-
4071-a349-e82b380c11f4.nodes.dhcp42-208_lab_eng_blr_
redhat_com.bricks.|root|
gluster_bricks|vol1_b2.utilization.percent-
percent_bytes"
}
}
}]
}
}
"""
alert = {}
alert['tags'] = {}
alert['current_value'] = utils.find_current_value(
alert_json['EvalData'])
target = utils.find_alert_target(alert_json['Settings']['conditions'])
# For alert backward compatibility
alert['tags']['plugin_instance'] = target.replace(
grafana_constants.BRICK_PATH_SEPARATOR, "|")
alert['tags']['warning_max'] = utils.find_warning_max(
alert_json['Settings']['conditions'][0]['evaluator']['params'])
result = utils.parse_target(target, self.template)
alert['tags']['integration_id'] = result["integration_id"]
cluster_name = utils.find_cluster_short_name(result["integration_id"])
alert['tags']['cluster_short_name'] = cluster_name
alert["tags"]["fqdn"] = result["host_name"].replace("_", ".")
alert['tags']['brick_path'] = result["brick_path"]
return alert
def parse_alert_metrics(self, alert_json):
"""{
"EvalData": {
"evalMatches": [{
"metric": "sumSeries(sumSeries(tendrl.clusters.ab3b125e-4769
-4071-a349-e82b380c11f4.nodes.{host_name}.
cpu.percent-system),sumSeries(tendrl.clusters.ab3b125e-4769-4071
-a349-e82b380c11f4.nodes.{host_name}.cpu.
percent-user))",
"tags": null,
"value": 31.97861830493573
}]},
"Settings": {
"conditions": [{
"evaluator": {
"params": [29],
"type": "gt"},
query": {
"model": {
"target" : "sumSeries(#A, #B).select metric",
"targetFull": "sumSeries(sumSeries(tendrl.clusters.
ab3b125e-4769-4071-a349-e82b380c11f4.nodes.
{host_name}.cpu.percent-system),
sumSeries(tendrl.clusters.ab3b125e-4769-4071-a349-e82b
380c11f4.nodes.{host_name}.cpu.
percent-user)).select metric"
}
}
}]
}
}
"""
alert = {}
alert['tags'] = {}
alert['current_value'] = utils.find_current_value(
alert_json['EvalData'])
target = utils.find_alert_target(alert_json['Settings']['conditions'])
alert['tags']['warning_max'] = utils.find_warning_max(
alert_json['Settings']['conditions'][0]['evaluator']['params'])
# identifying integration_id and node_id from target
# Cpu target is an aggregation, So spliting and giving [0]
# Because both have same cluster and node ids
result = utils.parse_target(target, self.template)
alert['tags']['integration_id'] = result["integration_id"]
cluster_name = utils.find_cluster_short_name(result["integration_id"])
alert['tags']['cluster_short_name'] = cluster_name
alert["tags"]["fqdn"] = result["host_name"].replace("_", ".")
return alert
def parse_alert_metrics(self, alert_json):
"""{
EvalData: {
evalMatches: - [{
metric: "tendrl.clusters.ab3b125e-
4769-4071-a349-e82b380c11f4.volumes.vol1.
nodes.*.bricks.*.utilization.percent-percent_bytes",
tags: null,
value: 13407092736
}]
},
Settings: {
conditions: - [{
evaluator: - {
params: - [12138888889],
type: "gt"
},
query: - {
model: - {
target: "tendrl.clusters.ab3b125e-
4769-4071-a349-e82b380c11f4.volumes.vol1.
nodes.*.bricks.*.utilization.percent-percent_bytes"
},
}
}]
}
}
"""
alert = {}
alert['tags'] = {}
alert['current_value'] = utils.find_current_value(
alert_json['EvalData'])
target = utils.find_alert_target(
alert_json['Settings']['conditions'])
alert['tags']['plugin_instance'] = target
alert['tags']['warning_max'] = utils.find_warning_max(
alert_json['Settings']['conditions'][0]['evaluator']['params'])
result = utils.parse_target(target, self.template)
alert['tags']['integration_id'] = result["integration_id"]
cluster_name = utils.find_cluster_short_name(
result["integration_id"]
)
alert['tags']['cluster_short_name'] = cluster_name
alert['tags']['volume_name'] = result["volume_name"]
return alert
def parse_alert_metrics(self, alert_json):
"""{
"EvalData": {
"evalMatches": [{
"metric": "tendrl.clusters.ab3b125e-4769-4071-a349-
e82b380c11f4.nodes.{host_name}
.memory.percent-used",
"tags": null,
"value": 4096
}]
},
"Settings": {
"conditions": [{
"evaluator": {
"params": [3664],
"type": "gt"
},
"query": {
"model": {
"target": "tendrl.clusters.ab3b125e-4769-4071-
a349-e82b380c11f4.nodes.{host_name}
.memory.percent-used"
},
}
}
}
"""
alert = {}
alert['tags'] = {}
alert['current_value'] = utils.find_current_value(
alert_json['EvalData'])
target = utils.find_alert_target(alert_json['Settings']['conditions'])
alert['tags']['warning_max'] = utils.find_warning_max(
alert_json['Settings']['conditions'][0]['evaluator']['params'])
# identifying integration_id and node_id from target
result = utils.parse_target(target, self.template)
alert['tags']['integration_id'] = result["integration_id"]
cluster_name = utils.find_cluster_short_name(result["integration_id"])
alert['tags']['cluster_short_name'] = cluster_name
alert["tags"]["fqdn"] = result["host_name"].replace("_", ".")
return alert
def parse_alert_metrics(self, alert_json):
"""
{
"EvalData": {
"evalMatches": [{
"metric": "tendrl.clusters.ab3b125e-4769-4071-a349-e82b38.
volumes.*.nodes.*.bricks.*.utilization.percent-percent_bytes",
"tags": null,
"value": 16.020626197595
}]
},
Settings: - {
conditions: - [{
evaluator: {
params: [29],
type: "gt"
}
query: {
model: - {
target: "tendrl.clusters.ab3b125e-4769-4071-a349-e82b38.
volumes.*.nodes.*.bricks.*.utilization.percent-percent_bytes"
},
}
},
}
"""
alert = {}
alert['tags'] = {}
alert['current_value'] = utils.find_current_value(
alert_json['EvalData'])
target = utils.find_alert_target(alert_json['Settings']['conditions'])
alert['tags']['warning_max'] = utils.find_warning_max(
alert_json['Settings']['conditions'][0]['evaluator']['params'])
result = utils.parse_target(target, self.template)
alert['tags']['integration_id'] = result["cluster_id"]
return alert
