Fixes ASes and Networks alert behavior

This commit is contained in:
MatteoBiscosi 2021-06-23 15:12:58 +02:00
parent 8dcce12ff8
commit 462eaa384b
8 changed files with 97 additions and 59 deletions

View file

@ -29,17 +29,20 @@ alert_behavior_anomaly.meta = {
-- @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_behavior_anomaly:init(entity, type_of_behaviour, value, upper_bound, lower_bound, href)
function alert_behavior_anomaly:init(entity, type_of_behavior, value, upper_bound, lower_bound,
ts_schema, page_path, timeserie_id --[[ This last 3 params are used to build up the href to the timeseries lately, if available ]])
-- Call the parent constructor
self.super:init()
self.alert_type_params = {
entity = entity,
type_of_behaviour = type_of_behaviour,
value = value,
upper_bound = upper_bound,
lower_bound = lower_bound,
href = href,
entity = entity,
type_of_behavior = type_of_behavior,
value = value,
upper_bound = upper_bound,
lower_bound = lower_bound,
ts_schema = ts_schema,
page_path = page_path,
timeserie_id = timeserie_id,
}
end
@ -51,14 +54,35 @@ end
-- @param alert_type_params Table `alert_type_params` as built in the `:init` method
-- @return A human-readable string
function alert_behavior_anomaly.format(ifid, alert, alert_type_params)
local href = ""
local type_of_behavior = ""
-- Name of the behavior type, e.g. Score
if alert_type_params.type_of_behavior then
type_of_behavior = i18n("alert_behaviors." .. alert_type_params.type_of_behavior)
end
-- Generating the href for the timeserie
if ntop.isEnterpriseL() then
if alert_type_params["ts_schema"] and alert_type_params["page_path"] and alert_type_params["timeserie_id"] then
local alert_time = tonumber(alert.tstamp)
-- 10 minutes before and 10 minutes after the alert
local curr_time = '&epoch_begin=' .. tonumber(alert_time - 600) .. '&epoch_end=' .. tonumber(alert_time + 600)
href = alert_type_params["page_path"] .. "?" .. alert_type_params["timeserie_id"] ..
"&page=historical&ts_schema=" .. alert_type_params["ts_schema"] .. "%3A" .. alert_type_params.type_of_behavior ..
"&zoom=30m" .. curr_time
end
end
return(i18n("alerts_dashboard.unexpected_behavior_anomaly_description",
{
entity = alert_type_params.entity or "",
type_of_behaviour = alert_type_params.type_of_behaviour or "",
type_of_behavior = type_of_behavior,
value = alert_type_params.value or 0,
lower_bound = alert_type_params.lower_bound or 0,
upper_bound = alert_type_params.upper_bound or 0,
href = alert_type_params.href or "",
href = href,
}))
end

View file

@ -777,39 +777,4 @@ function alert_utils.notify_ntopng_stop()
return(notify_ntopng_status(false))
end
function alert_utils.formatBehaviorAlert(params, anomalies, stats, id, subtype, name)
-- Cycle throught the behavior stats
for anomaly_type, anomaly_table in pairs(anomalies) do
local lower_bound = stats[anomaly_type]["lower_bound"]
local upper_bound = stats[anomaly_type]["upper_bound"]
local value = stats[anomaly_type]["value"]
if anomaly_table["formatter"] then
value = anomaly_table["formatter"](value)
lower_bound = anomaly_table["formatter"](lower_bound)
upper_bound = anomaly_table["formatter"](upper_bound)
end
local alert = alert_consts.alert_types.alert_behavior_anomaly.new(
i18n(subtype .. "_id", {id = name or id}),
i18n("alert_behaviors." .. anomaly_type),
value,
lower_bound,
upper_bound,
anomaly_table["href"]
)
alert:set_score_warning()
alert:set_granularity(params.granularity)
alert:set_subtype(subtype .. "_" .. id)
-- Trigger an alert if an anomaly is found
if anomaly_table["anomaly"] == true then
alert:trigger(params.alert_entity, nil, params.cur_alerts)
else
alert:release(params.alert_entity, nil, params.cur_alerts)
end
end
end
return alert_utils

View file

@ -606,6 +606,45 @@ function alerts_api.handlerPeerBehaviour(params, stats, tot_anomalies, host_ip,
end
end
-- #####################################
function alerts_api.formatBehaviorAlert(params, anomalies, stats, id, subtype, name)
-- Cycle throught the behavior stats
for anomaly_type, anomaly_table in pairs(anomalies) do
local lower_bound = stats[anomaly_type]["lower_bound"]
local upper_bound = stats[anomaly_type]["upper_bound"]
local value = stats[anomaly_type]["value"]
if anomaly_table["formatter"] then
value = anomaly_table["formatter"](value)
lower_bound = anomaly_table["formatter"](lower_bound)
upper_bound = anomaly_table["formatter"](upper_bound)
end
local alert = alert_consts.alert_types.alert_behavior_anomaly.new(
i18n(subtype .. "_id", {id = name or id}),
anomaly_type,
value,
lower_bound,
upper_bound,
anomaly_table["ts_schema"],
anomaly_table["page_path"],
anomaly_table["timeserie_id"]
)
alert:set_score_warning()
alert:set_granularity(params.granularity)
alert:set_subtype(subtype .. "_" .. id)
-- Trigger an alert if an anomaly is found
if anomaly_table["anomaly"] == true then
alert:trigger(params.alert_entity, nil, params.cur_alerts)
else
alert:release(params.alert_entity, nil, params.cur_alerts)
end
end
end
-- ##############################################
-- An alert check function which checks for anomalies.

View file

@ -1087,8 +1087,8 @@ if ntop.isPro() then
{schema="iface:score_anomalies", label=i18n("graphs.iface_score_anomalies")},
{schema="iface:score_behavior", label=i18n("graphs.iface_score_behavior"), split_directions = true --[[ split RX and TX directions ]], metrics_labels = {i18n("graphs.score"), i18n("graphs.lower_bound"), i18n("graphs.upper_bound")}},
{schema="iface:traffic_anomalies", label=i18n("graphs.iface_traffic_anomalies")},
{schema="iface:traffic_rx_behavior", label=i18n("graphs.iface_traffic_rx_behavior"), split_directions = true --[[ split RX and TX directions ]], value_formatter = {"fbits"}, metrics_labels = {i18n("graphs.traffic_rcvd"), i18n("graphs.lower_bound"), i18n("graphs.upper_bound")}},
{schema="iface:traffic_tx_behavior", label=i18n("graphs.iface_traffic_tx_behavior"), split_directions = true --[[ split RX and TX directions ]], value_formatter = {"fbits"}, metrics_labels = {i18n("graphs.traffic_sent"), i18n("graphs.lower_bound"), i18n("graphs.upper_bound")}},
{schema="iface:traffic_rx_behavior", label=i18n("graphs.iface_traffic_rx_behavior"), split_directions = true --[[ split RX and TX directions ]], value_formatter = {"NtopUtils.fbits"}, metrics_labels = {i18n("graphs.traffic_rcvd"), i18n("graphs.lower_bound"), i18n("graphs.upper_bound")}},
{schema="iface:traffic_tx_behavior", label=i18n("graphs.iface_traffic_tx_behavior"), split_directions = true --[[ split RX and TX directions ]], value_formatter = {"NtopUtils.fbits"}, metrics_labels = {i18n("graphs.traffic_sent"), i18n("graphs.lower_bound"), i18n("graphs.upper_bound")}},
}
default_timeseries = table.merge(pro_timeseries, default_timeseries)