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78 lines
2.3 KiB
Lua
78 lines
2.3 KiB
Lua
--
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-- (C) 2020 - ntop.org
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--
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local dirs = ntop.getDirs()
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package.path = dirs.installdir .. "/scripts/lua/modules/?.lua;" .. package.path
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require("lua_utils")
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-- Stats Utils is a module with some utilities to manipolate statistics data
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local stats_utils = {
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-- Upper bounds to get severity for the export drops
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UPPER_BOUND_INFO_EXPORTS = 0.10,
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UPPER_BOUND_WARNING_EXPORTS = 0.20
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}
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--- Collapse the collected statistics inside an 'Other' entry if
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--- there are stats less than 1% and these stats are greater or equal `min_slices`
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--- @param stats table Stats to collapse
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--- @param min_slices number How many slices less than 1% there must to be for collapsing
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function stats_utils.collapse_stats(stats, min_slices, threshold)
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threshold = threshold or 1
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local collapsed = {}
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local total = table.foldr(stats, function(sum, stat) return sum + stat.value end, 0)
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-- set the bound to the total / 100 (1%)
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local bound = ((total * threshold) / 100)
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local other = {label = i18n("other"), value = 0}
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-- set the counter to min_slice so we know when we have to start collapsing
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local counter = min_slices
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for _, stat in pairsByField(stats, 'value', rev) do
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if counter == 0 then
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if stat.value < bound then
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other.value = other.value + stat.value
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else
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collapsed[#collapsed+1] = stat
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end
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else
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collapsed[#collapsed+1] = stat
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counter = counter - 1
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end
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end
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-- if we reached the minum slices to collapse the statistics inside the Other element
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if counter == 0 then
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-- add the other element
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collapsed[#collapsed+1] = other
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end
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return collapsed
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end
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-- ###############################################
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function stats_utils.get_severity_by_export_drops(export_drops, total_exports)
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if export_drops and total_exports then
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local drops_fraction = export_drops / (export_drops + total_exports + 1)
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if drops_fraction <= stats_utils.UPPER_BOUND_INFO_EXPORTS then
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return "INFO"
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elseif drops_fraction <= stats_utils.UPPER_BOUND_WARNING_EXPORTS then
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return "WARNING"
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elseif drops_fraction > stats_utils.UPPER_BOUND_WARNING_EXPORTS then
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return "DANGER"
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end
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end
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end
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-- ###############################################
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return stats_utils
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