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