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StatsAgg is a library that allows the developer to instrument functions so that execution times are logged. Stats can then be retrieved and used to populate dashboards and other Information Radiators.

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lib/reducers.ex

"""
MIT License
Copyright (c) 2017 Steven Wagner
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
"""
defmodule Ciroque.Monitoring.Reducers do
@moduledoc """
# Ciroque.Monitoring.Reducers
This module contains the functions necessary to maintain the data structure used by the `Ciroque.Monitoring.StatsAgg` module.
"""
def calculate_stats(durations) do
%{
avg_duration: div(Enum.sum(durations), length(durations)),
durations: durations,
max_duration: Enum.max(durations),
min_duration: Enum.min(durations),
most_recent_duration: List.first(durations),
}
end
def retrieve_stats(state, keys) do
flatten_entries(state, keys)
|> with_stats
end
def put_duration(state, %{group: _group, module: _module, function: _function, started_at: started_at, ended_at: ended_at} = args) do
duration = ended_at - started_at
args = args
|> Map.drop([:started_at, :ended_at])
|> Map.put_new(:duration, duration)
put_duration(state, args)
end
def put_duration(state, %{group: group, module: module, function: function, duration: duration}) do
keys = [
to_string(group),
to_string(module),
to_string(function)
]
case get_in(state, keys) do
nil ->
put_in(state, Enum.map(keys, &Access.key(&1, %{})), [duration])
_ ->
{_, new_state} = get_and_update_in(state, keys, fn v -> {v, [duration | v]} end)
new_state
end
end
defp flatten_entries(state, []) do
Map.keys(state)
|> Enum.map(fn key -> flatten_entries(state, [key]) end)
|> List.flatten
end
defp flatten_entries(state, [_|_] = keys) do
stats = case state |> get_in(keys) do
nil -> []
children ->
process_child_keys(state, keys, children)
end
stats
end
defp process_child_keys(_state, keys, children) when is_list(children) do
output_keys = [:group, :module, :function, :durations]
List.zip([output_keys, keys ++ [children]])
|> Enum.into(%{})
end
defp process_child_keys(state, keys, children) when is_map(children) do
children
|> Map.keys
|> Enum.map(fn key ->
new_keys = keys ++ [key]
flatten_entries(state, new_keys)
end)
|> List.flatten
end
defp with_stats(method_entries) when is_list(method_entries) do
method_entries
|> Enum.map(fn entry ->
Map.merge(
calculate_stats(entry.durations),
entry
)
end)
end
defp with_stats(method_entries) when is_map(method_entries) do
Map.merge(
calculate_stats(method_entries.durations),
method_entries
)
end
end