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Add more documentation to sumstats framework scripts
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12 changed files with 61 additions and 24 deletions
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@ -5,7 +5,8 @@
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module SumStats;
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export {
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## The various calculations are all defined as plugins.
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## Type to represent the calculations that are available. The calculations
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## are all defined as plugins.
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type Calculation: enum {
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PLACEHOLDER
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};
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str: string &optional;
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};
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## Represents a reducer.
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type Reducer: record {
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## Observation stream identifier for the reducer
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## to attach to.
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normalize_key: function(key: SumStats::Key): Key &optional;
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};
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## Value calculated for an observation stream fed into a reducer.
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## Result calculated for an observation stream fed into a reducer.
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## Most of the fields are added by plugins.
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type ResultVal: record {
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## The time when the first observation was added to
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num: count &default=0;
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};
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## Type to store results for multiple reducers.
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## Type to store a table of results for multiple reducers indexed by
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## observation stream identifier.
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type Result: table[string] of ResultVal;
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## Type to store a table of sumstats results indexed by keys.
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type ResultTable: table[Key] of Result;
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## SumStats represent an aggregation of reducers along with
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## mechanisms to handle various situations like the epoch ending
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## Represents a SumStat, which consists of an aggregation of reducers along
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## with mechanisms to handle various situations like the epoch ending
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## or thresholds being crossed.
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##
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## It's best to not access any global state outside
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## The reducers for the SumStat.
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reducers: set[Reducer];
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## Provide a function to calculate a value from the
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## :bro:see:`SumStats::Result` structure which will be used
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## for thresholding.
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## This is required if a *threshold* value is given.
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## A function that will be called once for each observation in order
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## to calculate a value from the :bro:see:`SumStats::Result` structure
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## which will be used for thresholding.
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## This function is required if a *threshold* value or
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## a *threshold_series* is given.
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threshold_val: function(key: SumStats::Key, result: SumStats::Result): double &optional;
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## The threshold value for calling the
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## *threshold_crossed* callback.
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## The threshold value for calling the *threshold_crossed* callback.
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## If you need more than one threshold value, then use
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## *threshold_series* instead.
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threshold: double &optional;
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## A series of thresholds for calling the
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## *threshold_crossed* callback.
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## A series of thresholds for calling the *threshold_crossed*
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## callback. These thresholds must be listed in ascending order,
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## because a threshold is not checked until the preceding one has
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## been crossed.
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threshold_series: vector of double &optional;
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## A callback that is called when a threshold is crossed.
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## A threshold is crossed when the value returned from *threshold_val*
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## is greater than or equal to the threshold value, but only the first
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## time this happens within an epoch.
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threshold_crossed: function(key: SumStats::Key, result: SumStats::Result) &optional;
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## A callback that receives each of the results at the
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};
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## Create a summary statistic.
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##
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## ss: The SumStat to create.
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global create: function(ss: SumStats::SumStat);
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## Add data into an observation stream. This should be
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##! Calculate the average.
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@load ../main
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module SumStats;
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};
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redef record ResultVal += {
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## For numeric data, this calculates the average of all values.
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## For numeric data, this is the average of all values.
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average: double &optional;
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};
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}
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##! Calculate the number of unique values (using the HyperLogLog algorithm).
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@load base/frameworks/sumstats
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module SumStats;
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##! Keep the last X observations.
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@load base/frameworks/sumstats
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@load base/utils/queue
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##! Find the maximum value.
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@load ../main
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module SumStats;
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};
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redef record ResultVal += {
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## For numeric data, this tracks the maximum value given.
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## For numeric data, this tracks the maximum value.
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max: double &optional;
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};
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}
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##! Find the minimum value.
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@load ../main
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module SumStats;
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};
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redef record ResultVal += {
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## For numeric data, this tracks the minimum value given.
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## For numeric data, this tracks the minimum value.
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min: double &optional;
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};
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}
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##! Keep a random sample of values.
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@load base/frameworks/sumstats/main
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module SumStats;
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};
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redef record Reducer += {
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## A number of sample Observations to collect.
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## The number of sample Observations to collect.
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num_samples: count &default=0;
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};
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##! Calculate the standard deviation.
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@load ./variance
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@load ../main
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export {
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redef enum Calculation += {
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## Find the standard deviation of the values.
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## Calculate the standard deviation of the values.
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STD_DEV
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};
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##! Calculate the sum.
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@load ../main
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module SumStats;
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export {
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redef enum Calculation += {
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## Sums the values given. For string values,
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## this will be the number of strings given.
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## Calculate the sum of the values. For string values,
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## this will be the number of strings.
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SUM
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};
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##! Keep the top-k (i.e., most frequently occurring) observations.
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@load base/frameworks/sumstats
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module SumStats;
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};
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redef enum Calculation += {
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## Keep a top-k list of values.
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TOPK
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};
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redef record ResultVal += {
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## A handle which can be passed to some built-in functions to get
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## the top-k results.
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topk: opaque of topk &optional;
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};
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##! Calculate the number of unique values.
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@load ../main
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module SumStats;
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export {
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redef record Reducer += {
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## Maximum number of unique elements to store.
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## Maximum number of unique values to store.
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unique_max: count &optional;
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};
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redef record ResultVal += {
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## If cardinality is being tracked, the number of unique
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## items is tracked here.
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## values is tracked here.
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unique: count &default=0;
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};
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}
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##! Calculate the variance.
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@load ./average
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@load ../main
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export {
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redef enum Calculation += {
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## Find the variance of the values.
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## Calculate the variance of the values.
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VARIANCE
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};
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redef record ResultVal += {
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## For numeric data, this calculates the variance.
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## For numeric data, this is the variance.
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variance: double &optional;
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};
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}
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