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grafana_alert.tf
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grafana_alert.tf
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resource "grafana_rule_group" "this" {
for_each = local.alertsfile_map
name = each.value.name
folder_uid = var.folder_uid
org_id = var.org_id
# There is no function supporting Golang's "duration" (format of interval within an alert group)
# Use timeadd() function which supports it.
interval_seconds = (
(parseint(formatdate("s", timeadd("1970-01-01T00:00:00Z", try(each.value.interval, var.default_evaluation_interval_duration))), 10) * 1) +
(parseint(formatdate("m", timeadd("1970-01-01T00:00:00Z", try(each.value.interval, var.default_evaluation_interval_duration))), 10) * 60) +
(parseint(formatdate("h", timeadd("1970-01-01T00:00:00Z", try(each.value.interval, var.default_evaluation_interval_duration))), 10) * 3600)
)
disable_provenance = var.disable_provenance
dynamic "rule" {
for_each = { for rule in each.value.rules : rule.alert => rule }
content {
name = rule.value.alert
for = try(rule.value.for, null)
condition = "ALERTCONDITION"
annotations = {
for k, v in merge(rule.value.annotations, try(var.overrides[rule.value.alert].annotations, {})) :
k => replace(v, "$value", "$values.QUERY_RESULT.Value")
}
labels = merge(rule.value.labels, try(var.overrides[rule.value.alert].labels, {}))
exec_err_state = coalesce(try(var.overrides[rule.value.alert].exec_err_state, null), "Error")
is_paused = try(var.overrides[rule.value.alert].is_paused, null)
no_data_state = coalesce(try(var.overrides[rule.value.alert].no_data_state, null), "OK")
data {
ref_id = "QUERY"
relative_time_range {
from = 600
to = 0
}
datasource_uid = var.datasource_uid
model = jsonencode({
editorMode = "code"
expr = coalesce(try(var.overrides[rule.value.alert].expr, null), rule.value.expr)
intervalMs = 1000
maxDataPoints = 43200
refId = "QUERY"
})
}
## Reduce
data {
ref_id = "QUERY_RESULT"
relative_time_range {
from = 600
to = 0
}
datasource_uid = "__expr__"
model = jsonencode({
"conditions" = [
{
"evaluator" = {
"params" = [0]
"type" = "gt"
}
"operator" = {
"type" = "and"
}
"query" = {
"params" = []
}
"reducer" = {
"params" = []
"type" = "avg"
}
"type" = "query"
},
]
"datasource" = {
"name" = "Expression"
"type" = "__expr__"
"uid" = "__expr__"
}
"expression" = "QUERY"
"intervalMs" = 1000
"maxDataPoints" = 43200
"reducer" = "last"
"refId" = "QUERY_RESULT"
"type" = "reduce"
})
}
## Threshold
data {
ref_id = "ALERTCONDITION"
relative_time_range {
from = 600
to = 0
}
datasource_uid = "__expr__"
model = jsonencode({
"conditions" = [
{
"evaluator" = {
"params" = [coalesce(try(var.overrides[rule.value.alert].alert_threshold, null), 0)]
"type" = "gt"
}
"operator" = {
"type" = "and"
}
"query" = {
"params" = ["QUERY_RESULT"]
}
"reducer" = {
"params" = []
"type" = "last"
}
"type" = "query"
},
]
"datasource" = {
"type" = "__expr__"
"uid" = "__expr__"
}
"expression" = "QUERY_RESULT"
"hide" = false
"intervalMs" = 1000
"maxDataPoints" = 43200
"refId" = "ALERTCONDITION"
"type" = "threshold"
})
}
}
}
}