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Refactor TimeSeries artifacts

This commit is contained in:
Jose Farias 2024-04-18 20:03:46 -06:00
parent cc7b878d50
commit 4ed294eb13
8 changed files with 159 additions and 111 deletions

View file

@ -53,7 +53,7 @@ module ApplicationHelper
def trend_styles(trend) def trend_styles(trend)
fallback = { bg_class: "bg-gray-500/5", text_class: "text-gray-500", symbol: "", icon: "minus" } fallback = { bg_class: "bg-gray-500/5", text_class: "text-gray-500", symbol: "", icon: "minus" }
return fallback if trend.nil? || trend.direction == "flat" return fallback if trend.nil? || trend.direction.flat?
bg_class, text_class, symbol, icon = case trend.direction bg_class, text_class, symbol, icon = case trend.direction
when "up" when "up"

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@ -1,20 +1,21 @@
class TimeSeries class TimeSeries
attr_reader :type DIRECTIONS = %w[ up down ].freeze
def self.from_collection(collection, value_method, options = {}) attr_reader :values, :favorable_direction
data = collection.map do |obj|
{ date: obj.date, value: obj.public_send(value_method), original: obj } def self.from_collection(collection, value_method)
end collection.map do |obj|
new(data, options) {
date: obj.date,
value: obj.public_send(value_method),
original: obj
}
end.then { |data| new(data) }
end end
def initialize(data, options = {}) def initialize(data, favorable_direction: "up")
@type = options[:type] || :normal @favorable_direction = (favorable_direction.presence_in(DIRECTIONS) || "up").inquiry
initialize_series_data(data) @values = initialize_values data
end
def values
@values ||= add_trends_to_series
end end
def first def first
@ -30,53 +31,27 @@ class TimeSeries
end end
def trend def trend
TimeSeries::Trend.new( TimeSeries::Trend.new \
current: last&.value, current: last&.value,
previous: first&.value, previous: first&.value,
type: @type series: self
)
end end
# Data shape that frontend expects for D3 charts # `to_json` returns the data shape used by D3 charts
def to_json(*_args) def to_json
{ {
values: values.map do |v| values: values.map(&:as_json),
{ trend: trend.as_json,
date: v.date, favorable_direction: favorable_direction
value: JSON.parse(v.value.to_json),
trend: {
type: v.trend.type,
direction: v.trend.direction,
value: JSON.parse(v.trend.value.to_json),
percent: v.trend.percent
}
}
end,
trend: {
type: @type,
direction: trend.direction,
value: JSON.parse(trend.value.to_json),
percent: trend.percent
},
type: @type
}.to_json }.to_json
end end
private private
def initialize_series_data(data) def initialize_values(data)
@series_data = data.nil? || data.empty? ? [] : data.map { |d| TimeSeries::Value.new(d) }.sort_by(&:date) [ nil, *data ].each_cons(2).map do |previous, current|
end TimeSeries::Value.new current,
previous: (TimeSeries::Value.new(previous) if previous),
def add_trends_to_series series: self
[ nil, *@series_data ].each_cons(2).map do |previous, current|
unless current.trend
current.trend = TimeSeries::Trend.new(
current: current.value,
previous: previous&.value,
type: @type
)
end
current
end end
end end
end end

View file

@ -1,48 +1,95 @@
class TimeSeries::Trend class TimeSeries::Trend
attr_reader :type include ActiveModel::Validations
# Tells us whether an increasing/decreasing trend is good or bad (i.e. a liability decreasing is good) attr_reader :current, :previous
TYPES = %i[normal inverse].freeze
def initialize(current: nil, previous: nil, type: :normal) delegate :favorable_direction, to: :series
validate_data_types(current, previous)
validate_type(type) validate :values_must_be_of_same_type, :values_must_be_of_known_type
@current = current
def initialize(current:, previous:, series: nil)
@current = current || 0
@previous = previous @previous = previous
@type = type @series = series
validate!
end end
def direction def direction
return "flat" if @previous.nil? || @current == @previous if previous.nil? || current == previous
return "up" if @current && @current > @previous "flat"
"down" elsif current && current > previous
"up"
else
"down"
end.inquiry
end end
def value def value
return Money.new(0) if @previous.nil? && @current.is_a?(Money) if previous.nil? && current.is_a?(Money)
return 0 if @previous.nil? Money.new 0
@current - @previous elsif previous.nil?
0
else
current - previous
end
end end
def percent def percent
return 0.0 if @previous.nil? if previous.nil?
return Float::INFINITY if @previous == 0 0.0
((extract_numeric(@current) - extract_numeric(@previous)).abs / extract_numeric(@previous).abs.to_f * 100).round(1).to_f elsif previous == 0
Float::INFINITY
else
change = (current_amount - previous_amount).abs
base = previous_amount.abs.to_f
(change / base * 100).round(1).to_f
end
end
def as_json
{
favorable_direction: favorable_direction,
direction: direction,
value: value,
percent: percent
}.as_json
end end
private private
def validate_type(type) attr_reader :series
raise ArgumentError, "Invalid type" unless TYPES.include?(type)
def values_must_be_of_same_type
unless current.class == previous.class || previous.nil?
errors.add :current, "must be of the same type as previous"
errors.add :previous, "must be of the same type as current"
end
end end
def validate_data_types(current, previous) def values_must_be_of_known_type
return if previous.nil? || current.nil? unless current.is_a?(Money) || current.is_a?(Numeric)
raise ArgumentError, "Current and previous values must be of the same type" unless current.class == previous.class errors.add :current, "must be of type Money or Numeric"
raise ArgumentError, "Current and previous values must be of type Money or Numeric" unless current.is_a?(Money) || current.is_a?(Numeric) end
unless previous.is_a?(Money) || previous.is_a?(Numeric) || previous.nil?
errors.add :previous, "must be of type Money, Numeric or nil"
end
end
def current_amount
extract_numeric current
end
def previous_amount
extract_numeric previous
end end
def extract_numeric(obj) def extract_numeric(obj)
return obj.amount if obj.is_a? Money if obj.is_a? Money
obj obj.amount
else
obj
end
end end
end end

View file

@ -1,21 +1,18 @@
class TimeSeries::Value class TimeSeries::Value
include Comparable include Comparable
include ActiveModel::Validations
attr_accessor :trend
attr_reader :value, :date, :original attr_reader :value, :date, :original
def initialize(obj) validates :date, presence: true
@original = obj.fetch(:original, obj) validate :value_must_be_of_known_type
if obj.is_a?(Hash) def initialize(obj, series: nil, previous: nil)
@date = obj[:date] @date, @value, @original = parse_object obj
@value = obj[:value] @series = series
else @trend = create_trend previous
@date = obj.date
@value = obj.value
end
validate_input validate!
end end
def <=>(other) def <=>(other)
@ -24,9 +21,41 @@ class TimeSeries::Value
result result
end end
def as_json
{
date: date,
value: value.as_json,
trend: trend.as_json
}
end
private private
def validate_input attr_reader :series, :trend
raise ArgumentError, "Date is required" unless @date.is_a?(Date)
raise ArgumentError, "Money or Numeric value is required" unless @value.is_a?(Money) || @value.is_a?(Numeric) def parse_object(obj)
if obj.is_a?(Hash)
date = obj[:date]
value = obj[:value]
original = obj.fetch(:original, obj)
else
date = obj.date
value = obj.value
original = obj
end
[ date, value, original ]
end
def create_trend(previous)
TimeSeries::Trend.new \
current: value,
previous: previous&.value,
series: series
end
def value_must_be_of_known_type
unless value.is_a?(Money) || value.is_a?(Numeric)
errors.add :value, "must be a Money or Numeric"
end
end end
end end

View file

@ -1,7 +1,7 @@
<%# locals: { trend: } %> <%# locals: { trend: } %>
<% styles = trend_styles(trend) %> <% styles = trend_styles(trend) %>
<p class="text-sm <%= styles[:text_class] %>"> <p class="text-sm <%= styles[:text_class] %>">
<% if trend.direction == "flat" %> <% if trend.direction.flat? %>
<span>No change</span> <span>No change</span>
<% else %> <% else %>
<span><%= styles[:symbol] %><%= trend.value.is_a?(Money) ? format_money(trend.value.abs) : trend.value.abs %></span> <span><%= styles[:symbol] %><%= trend.value.is_a?(Money) ? format_money(trend.value.abs) : trend.value.abs %></span>

View file

@ -16,7 +16,7 @@
</p> </p>
<% if trend.nil? %> <% if trend.nil? %>
<p class="text-sm text-gray-500">Data not available for the selected period</p> <p class="text-sm text-gray-500">Data not available for the selected period</p>
<% elsif trend.direction == "flat" %> <% elsif trend.direction.flat? %>
<p class="text-sm text-gray-500">No change vs. prior period</p> <p class="text-sm text-gray-500">No change vs. prior period</p>
<% else %> <% else %>
<div class="flex items-center gap-2"> <div class="flex items-center gap-2">

View file

@ -73,9 +73,9 @@ class FamilyTest < ActiveSupport::TestCase
assert_equal @expected_snapshots.count, net_worth_series.values.count assert_equal @expected_snapshots.count, net_worth_series.values.count
@expected_snapshots.each_with_index do |row, index| @expected_snapshots.each_with_index do |row, index|
expected_assets = TimeSeries::Value.new(date: row["date"], value: Money.new(row["assets"].to_d)) expected_assets = TimeSeries::Value.new({ date: row["date"], value: Money.new(row["assets"].to_d) })
expected_liabilities = TimeSeries::Value.new(date: row["date"], value: Money.new(row["liabilities"].to_d)) expected_liabilities = TimeSeries::Value.new({ date: row["date"], value: Money.new(row["liabilities"].to_d) })
expected_net_worth = TimeSeries::Value.new(date: row["date"], value: Money.new(row["net_worth"].to_d)) expected_net_worth = TimeSeries::Value.new({ date: row["date"], value: Money.new(row["net_worth"].to_d) })
assert_in_delta expected_assets.value.amount, Money.new(asset_series.values[index].value).amount, 0.01 assert_in_delta expected_assets.value.amount, Money.new(asset_series.values[index].value).amount, 0.01
assert_in_delta expected_liabilities.value.amount, Money.new(liability_series.values[index].value).amount, 0.01 assert_in_delta expected_liabilities.value.amount, Money.new(liability_series.values[index].value).amount, 0.01

View file

@ -6,7 +6,7 @@ class TimeSeriesTest < ActiveSupport::TestCase
assert_equal Money.new(100), series.first.value assert_equal Money.new(100), series.first.value
assert_equal Money.new(200), series.last.value assert_equal Money.new(200), series.last.value
assert_equal :normal, series.type assert_equal "up", series.favorable_direction
assert_equal "up", series.trend.direction assert_equal "up", series.trend.direction
assert_equal Money.new(100), series.trend.value assert_equal Money.new(100), series.trend.value
assert_equal 100.0, series.trend.percent assert_equal 100.0, series.trend.percent
@ -18,21 +18,18 @@ class TimeSeriesTest < ActiveSupport::TestCase
assert_equal 100, series.first.value assert_equal 100, series.first.value
assert_equal 200, series.last.value assert_equal 200, series.last.value
assert_equal 100, series.on(1.day.ago.to_date).value assert_equal 100, series.on(1.day.ago.to_date).value
assert_equal :normal, series.type assert_equal "up", series.favorable_direction
assert_equal "up", series.trend.direction assert_equal "up", series.trend.direction
assert_equal 100, series.trend.value assert_equal 100, series.trend.value
assert_equal 100.0, series.trend.percent assert_equal 100.0, series.trend.percent
end end
test "when nil or empty array passed, it returns empty series" do test "when empty array passed, it returns empty series" do
series = TimeSeries.new(nil)
assert_equal [], series.values
series = TimeSeries.new([]) series = TimeSeries.new([])
assert_nil series.first assert_nil series.first
assert_nil series.last assert_nil series.last
assert_equal({ values: [], trend: { type: "normal", direction: "flat", value: 0, percent: 0.0 }, type: "normal" }.to_json, series.to_json) assert_equal({ values: [], trend: { favorable_direction: "up", direction: "flat", value: 0, percent: 0.0 }, favorable_direction: "up" }.to_json, series.to_json)
end end
test "money series can be serialized to json" do test "money series can be serialized to json" do
@ -41,16 +38,16 @@ class TimeSeriesTest < ActiveSupport::TestCase
{ {
date: 1.day.ago.to_date, date: 1.day.ago.to_date,
value: { amount: "100.0", currency: "USD" }, value: { amount: "100.0", currency: "USD" },
trend: { type: "normal", direction: "flat", value: { amount: "0.0", currency: "USD" }, percent: 0.0 } trend: { favorable_direction: "up", direction: "flat", value: { amount: "0.0", currency: "USD" }, percent: 0.0 }
}, },
{ {
date: Date.current, date: Date.current,
value: { amount: "200.0", currency: "USD" }, value: { amount: "200.0", currency: "USD" },
trend: { type: "normal", direction: "up", value: { amount: "100.0", currency: "USD" }, percent: 100.0 } trend: { favorable_direction: "up", direction: "up", value: { amount: "100.0", currency: "USD" }, percent: 100.0 }
} }
], ],
trend: { type: "normal", direction: "up", value: { amount: "100.0", currency: "USD" }, percent: 100.0 }, trend: { favorable_direction: "up", direction: "up", value: { amount: "100.0", currency: "USD" }, percent: 100.0 },
type: "normal" favorable_direction: "up"
}.to_json }.to_json
series = TimeSeries.new([ { date: 1.day.ago.to_date, value: Money.new(100) }, { date: Date.current, value: Money.new(200) } ]) series = TimeSeries.new([ { date: 1.day.ago.to_date, value: Money.new(100) }, { date: Date.current, value: Money.new(200) } ])
@ -61,11 +58,11 @@ class TimeSeriesTest < ActiveSupport::TestCase
test "numeric series can be serialized to json" do test "numeric series can be serialized to json" do
expected_values = { expected_values = {
values: [ values: [
{ date: 1.day.ago.to_date, value: 100, trend: { type: "normal", direction: "flat", value: 0, percent: 0.0 } }, { date: 1.day.ago.to_date, value: 100, trend: { favorable_direction: "up", direction: "flat", value: 0, percent: 0.0 } },
{ date: Date.current, value: 200, trend: { type: "normal", direction: "up", value: 100, percent: 100.0 } } { date: Date.current, value: 200, trend: { favorable_direction: "up", direction: "up", value: 100, percent: 100.0 } }
], ],
trend: { type: "normal", direction: "up", value: 100, percent: 100.0 }, trend: { favorable_direction: "up", direction: "up", value: 100, percent: 100.0 },
type: "normal" favorable_direction: "up"
}.to_json }.to_json
series = TimeSeries.new([ { date: 1.day.ago.to_date, value: 100 }, { date: Date.current, value: 200 } ]) series = TimeSeries.new([ { date: 1.day.ago.to_date, value: 100 }, { date: Date.current, value: 200 } ])