ntopng/scripts/lua/modules/alert_definitions/other/alert_contacts_anomaly.lua
2022-01-03 09:42:33 +01:00

68 lines
2.4 KiB
Lua

--
-- (C) 2019-22 - ntop.org
--
-- ##############################################
local other_alert_keys = require "other_alert_keys"
local classes = require "classes"
local alert = require "alert"
local alert_entities = require "alert_entities"
-- ##############################################
local alert_contacts_anomaly = classes.class(alert)
-- ##############################################
alert_contacts_anomaly.meta = {
alert_key = other_alert_keys.alert_contacts_anomaly,
i18n_title = "alerts_dashboard.unexpected_host_behaviour_contacts_title",
icon = "fas fa-fw fa-exclamation",
entities = {},
}
-- ##############################################
-- @brief Prepare an alert table used to generate the alert
-- @param value The value got from the measurement
-- @param prediction The value instead predicted
-- @param lower_bound The lower bound of the measurement
-- @param upper_bound The upper bound of the measurement
-- @return A table with the alert built
function alert_contacts_anomaly:init(value, prediction, upper_bound, lower_bound)
-- Call the parent constructor
self.super:init()
self.alert_type_params = {
value = value,
prediction = prediction,
upper_bound = upper_bound,
lower_bound = lower_bound,
}
end
-- #######################################################
-- @brief Format an alert into a human-readable string
-- @param ifid The integer interface id of the generated alert
-- @param alert The alert description table, including alert data such as the generating entity, timestamp, granularity, type
-- @param alert_type_params Table `alert_type_params` as built in the `:init` method
-- @return A human-readable string
function alert_contacts_anomaly.format(ifid, alert, alert_type_params)
local alert_consts = require("alert_consts")
return(i18n("alerts_dashboard.unexpected_host_behavior_description",
{
host = firstToUpper(alert_consts.formatAlertEntity(ifid, alert_consts.alertEntityRaw(alert["entity_id"]), alert["entity_val"])),
type_of_behaviour = i18n("alert.anomalies.contacts") or "",
value = alert_type_params.value,
prediction = alert_type_params.prediction or 0,
lower_bound = alert_type_params.lower_bound or 0,
upper_bound = alert_type_params.upper_bound or 0,
}))
end
-- #######################################################
return alert_contacts_anomaly