ntopng/scripts/lua/modules/datamodel/datamodel.lua
2021-01-20 18:02:11 +01:00

110 lines
2.7 KiB
Lua

--
-- (C) 2021 - ntop.org
--
-- Import the classes library.
local classes = require "classes"
-- Import some colors for eyecandy
local colors = require "graph_utils".graph_colors
-- ##############################################
local datamodel = classes.class()
-- ##############################################
function datamodel:init(labels)
self.column_labels = labels
self._data = {} -- Data container (legacy, to be removed)
end
-- ######################################
-- @brief append data to the model.
-- @param data_key The key identifying the data, i.e., a timestamp (for timeseries) or a string (for histograms)
-- @param data_values The value or values associated to the data key. Can be a salar or an array.
-- @param data_url A URL associated to this data identified with `data_key` (optional)
-- @param data_color A color associated to this data identified with `data_color` (optional)
function datamodel:append(data_key, data_values, data_url, data_color)
tprint(colors)
-- Always append ordered data
self._data[#self._data + 1] = {
k = data_key, -- The Key
v = data_values, -- The Values
url = data_url,
color = colors[(#self._data - 1) % #colors],
}
end
-- ######################################
-- @brief Data consolidation to be called after `append`ing data
function datamodel:aggregate()
-- Possibly implemented in subclasses
end
-- ######################################
-- @brief Returns datamodel data as-is, without any transformation
function datamodel:get_data()
return self._data
end
-- ######################################
function datamodel:get_data_keys()
local res = {}
for _, data in ipairs(self._data) do
res[#res + 1] = data.k
end
return res
end
-- ######################################
function datamodel:get_data_values()
local res = {}
for _, data in ipairs(self._data) do
res[#res + 1] = data.v
end
return res
end
-- ######################################
function datamodel:get_data_colors()
local res = {}
for _, data in ipairs(self._data) do
res[#res + 1] = data.color
end
return res
end
-- ######################################
-- Transform and return datamodel data
function datamodel:transform(transformation)
if transformation == "aggregate" then
-- Transform, enforce maximum number of results, % returned
self:aggregate()
else -- transformation == "none", i.e., all data is returned, no filtering, no reduction
end
return {
label = self.column_labels,
keys = self:get_data_keys(),
values = self:get_data_values(),
colors = self:get_data_colors()
}
end
-- ######################################
return(datamodel)