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* Reindent TimeSeries classes * Fix spacing in time series tests * Remove trend tests where current is nil I think if we've gotten this far with a nil value for current, there's a data integrity problem. If we allow this, we'll have to be very defensive in our code. Best to raise and fix early. * Reindent Money class * Refactor TimeSeries artifacts * Use as_json in TimeSeries * Bring back tests for trends where current is nil * Bring back trend test * Correctly enumerate trend test * Use favorable_direction for trend_styles helper * Make trend public in TimeSeries::Value * Allow nil current values in trends I think I might've gotten it wrong before, nils might appear in trends if values are unavailable for snapshots * Clean up TimeSeries::Trend * Skip trend values same class validations if any values are nil * Refactor Money * Remove object parsing in TimeSeries::Value We're only every passing hashes
72 lines
2.9 KiB
Ruby
72 lines
2.9 KiB
Ruby
require "test_helper"
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class TimeSeriesTest < ActiveSupport::TestCase
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test "it can accept array of money values" do
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series = TimeSeries.new([ { date: 1.day.ago.to_date, value: Money.new(100) }, { date: Date.current, value: Money.new(200) } ])
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assert_equal Money.new(100), series.first.value
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assert_equal Money.new(200), series.last.value
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assert_equal "up", series.favorable_direction
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assert_equal "up", series.trend.direction
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assert_equal Money.new(100), series.trend.value
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assert_equal 100.0, series.trend.percent
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end
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test "it can accept array of numeric values" do
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series = TimeSeries.new([ { date: 1.day.ago.to_date, value: 100 }, { date: Date.current, value: 200 } ])
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assert_equal 100, series.first.value
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assert_equal 200, series.last.value
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assert_equal 100, series.on(1.day.ago.to_date).value
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assert_equal "up", series.favorable_direction
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assert_equal "up", series.trend.direction
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assert_equal 100, series.trend.value
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assert_equal 100.0, series.trend.percent
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end
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test "when empty array passed, it returns empty series" do
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series = TimeSeries.new([])
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assert_nil series.first
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assert_nil series.last
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assert_equal({ values: [], trend: { favorable_direction: "up", direction: "flat", value: 0, percent: 0.0 }, favorable_direction: "up" }.to_json, series.to_json)
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end
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test "money series can be serialized to json" do
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expected_values = {
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values: [
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{
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date: 1.day.ago.to_date,
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value: { amount: "100.0", currency: "USD" },
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trend: { favorable_direction: "up", direction: "flat", value: { amount: "0.0", currency: "USD" }, percent: 0.0 }
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},
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{
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date: Date.current,
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value: { amount: "200.0", currency: "USD" },
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trend: { favorable_direction: "up", direction: "up", value: { amount: "100.0", currency: "USD" }, percent: 100.0 }
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}
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],
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trend: { favorable_direction: "up", direction: "up", value: { amount: "100.0", currency: "USD" }, percent: 100.0 },
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favorable_direction: "up"
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}.to_json
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series = TimeSeries.new([ { date: 1.day.ago.to_date, value: Money.new(100) }, { date: Date.current, value: Money.new(200) } ])
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assert_equal expected_values, series.to_json
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end
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test "numeric series can be serialized to json" do
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expected_values = {
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values: [
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{ date: 1.day.ago.to_date, value: 100, trend: { favorable_direction: "up", direction: "flat", value: 0, percent: 0.0 } },
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{ date: Date.current, value: 200, trend: { favorable_direction: "up", direction: "up", value: 100, percent: 100.0 } }
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],
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trend: { favorable_direction: "up", direction: "up", value: 100, percent: 100.0 },
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favorable_direction: "up"
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}.to_json
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series = TimeSeries.new([ { date: 1.day.ago.to_date, value: 100 }, { date: Date.current, value: 200 } ])
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assert_equal expected_values, series.to_json
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end
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end
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