File size: 4,000 Bytes
c9c49ab | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 | defmodule Plausible.Stats.SamplingTest do
use Plausible.DataCase, async: true
on_ee do
import Plausible.Stats.Sampling, only: [fractional_sample_rate: 2]
alias Plausible.Stats.{Query, DateTimeRange}
describe "&fractional_sample_rate/2" do
@threshold Plausible.Stats.Sampling.default_sample_threshold()
test "no traffic estimate" do
assert fractional_sample_rate(nil, query(30)) == :no_sampling
end
test "scales sampling rate according to query duration" do
for n <- [1, 100, 1000, 10_000, 100_000, 1_000_000, 7_000_000] do
assert {n, fractional_sample_rate(n, query(1))} == {n, :no_sampling}
assert {n, fractional_sample_rate(n, query(5))} == {n, :no_sampling}
assert {n, fractional_sample_rate(n, query(10))} == {n, :no_sampling}
assert {n, fractional_sample_rate(n, query(15))} == {n, :no_sampling}
assert {n, fractional_sample_rate(n, query(30))} == {n, :no_sampling}
assert {n, fractional_sample_rate(n, query(60))} == {n, :no_sampling}
assert {n, fractional_sample_rate(n, query(100))} == {n, :no_sampling}
end
assert fractional_sample_rate(6_000_000, query(300)) == 0.17
assert fractional_sample_rate(7_500_000, query(100)) == 0.4
assert fractional_sample_rate(7_500_000, query(364)) == 0.11
assert fractional_sample_rate(7_500_000, query(900)) == 0.04
assert fractional_sample_rate(7_500_000, query(2900)) == 0.013
assert fractional_sample_rate(@threshold * 2, query(30)) == :no_sampling
assert fractional_sample_rate(@threshold * 2, query(60)) == 0.25
assert fractional_sample_rate(@threshold * 2, query(100)) == 0.15
assert fractional_sample_rate(@threshold * 5, query(1)) == :no_sampling
assert fractional_sample_rate(@threshold * 5, query(5)) == :no_sampling
assert fractional_sample_rate(@threshold * 5, query(10)) == :no_sampling
assert fractional_sample_rate(@threshold * 5, query(15)) == 0.40
assert fractional_sample_rate(@threshold * 5, query(30)) == 0.20
assert fractional_sample_rate(@threshold * 5, query(60)) == 0.10
assert fractional_sample_rate(@threshold * 5, query(100)) == 0.06
assert fractional_sample_rate(@threshold * 15, query(2)) == :no_sampling
assert fractional_sample_rate(@threshold * 15, query(5)) == 0.40
assert fractional_sample_rate(@threshold * 15, query(10)) == 0.20
end
test "short durations" do
assert fractional_sample_rate(@threshold * 15, query(1, unit: :hour)) ==
:no_sampling
end
test "very low sampling rate" do
assert fractional_sample_rate(@threshold * 500, query(30)) == 0.013
end
@filter ["is", "event:name", ["pageview"]]
test "scales sampling rate according to query filters (when sampling adjustments are enabled)" do
assert fractional_sample_rate(@threshold * 50, query(30, filters: [])) == 0.02
assert fractional_sample_rate(@threshold * 50, query(30, filters: [@filter])) ==
0.08
assert fractional_sample_rate(
@threshold * 50,
query(30, filters: [@filter, @filter])
) == 0.32
assert fractional_sample_rate(
@threshold * 50,
query(30, filters: [@filter, @filter, @filter])
) == 0.32
assert fractional_sample_rate(
@threshold * 10,
query(30, filters: [@filter, @filter])
) == :no_sampling
end
end
def query(duration, opts \\ []) do
unit = Keyword.get(opts, :unit, :day)
filters = Keyword.get(opts, :filters, [])
first = DateTime.utc_now()
last = DateTime.add(first, duration, unit)
%Query{
utc_time_range: DateTimeRange.new!(first, last),
timezone: "UTC",
filters: filters
}
end
end
end
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