test: add property coverage for grid snaps, backoff, notes

Pure-function invariants that example tests can't express at scale:

- Weather.round_to_iemre_grid/2, HrrrClient.nearest_hrrr_hour/1,
  NexradClient.round_to_5min/1, NarrClient.snap_to_analysis_hour/1:
  each is idempotent, its output satisfies a grid/slot-membership
  predicate, and lies within a bounded distance of the input.
- NarrClient.in_coverage?/1: coverage_end is an exclusive upper
  bound; any timestamp after it is out of coverage.
- IemreFetchWorker.backoff/1: result is in [120, 21_600], monotonic
  non-decreasing in attempt, equals 120*2^(attempt-1) pre-cap.
- Contact submission_changeset notes field: every non-blank string
  up to 2000 chars validates; any longer string is rejected.

22 new properties (139 → 161 including existing); all 2,300 tests
green, credo clean.
This commit is contained in:
Graham McIntire 2026-04-23 13:05:05 -05:00
parent a9d13d8eb9
commit cfb0c51d2f
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@ -1,5 +1,6 @@
defmodule Microwaveprop.Radio.ContactSubmissionTest do
use Microwaveprop.DataCase, async: true
use ExUnitProperties
alias Microwaveprop.Radio.Contact
@ -138,6 +139,36 @@ defmodule Microwaveprop.Radio.ContactSubmissionTest do
refute changeset.valid?
assert errors_on(changeset)[:notes]
end
property "accepts any non-blank string up to 2000 graphemes" do
check all(
len <- integer(1..2000),
notes <- string(:printable, length: len),
String.trim(notes) != ""
) do
attrs = Map.put(@valid_attrs, :notes, notes)
changeset = Contact.submission_changeset(%Contact{}, attrs)
assert changeset.valid?,
"expected #{len}-char notes to validate, got errors: " <>
inspect(errors_on(changeset))
end
end
property "rejects any notes string longer than 2000 characters" do
check all(
overage <- integer(1..500),
notes <- string(:alphanumeric, length: 2000 + overage)
) do
attrs = Map.put(@valid_attrs, :notes, notes)
changeset = Contact.submission_changeset(%Contact{}, attrs)
refute changeset.valid?,
"expected #{String.length(notes)}-char notes to be rejected"
assert errors_on(changeset)[:notes]
end
end
end
describe "create_contact/1 deduplication" do

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@ -0,0 +1,210 @@
defmodule Microwaveprop.Weather.GridSnapPropertyTest do
@moduledoc """
Property tests for the coarse-grid / time-slot snapping helpers that
scattered across the Weather layer. Each of these functions maps a
continuous input onto a discrete set (the IEMRE 0.125° grid, top-of-hour
HRRR slots, 5-minute NEXRAD frames, 3-hourly NARR analyses). The
invariants every such snap must satisfy are idempotence, bounded
distance from the input, and grid-membership of the output.
"""
use ExUnit.Case, async: true
use ExUnitProperties
alias Microwaveprop.Weather
alias Microwaveprop.Weather.HrrrClient
alias Microwaveprop.Weather.NarrClient
alias Microwaveprop.Weather.NexradClient
describe "Weather.round_to_iemre_grid/2" do
property "is idempotent" do
check all(
lat <- float(min: -89.9, max: 89.9),
lon <- float(min: -179.9, max: 179.9)
) do
once = Weather.round_to_iemre_grid(lat, lon)
twice = then(once, fn {la, lo} -> Weather.round_to_iemre_grid(la, lo) end)
assert once == twice
end
end
property "output coordinates are multiples of 0.125°" do
check all(
lat <- float(min: -89.9, max: 89.9),
lon <- float(min: -179.9, max: 179.9)
) do
{rlat, rlon} = Weather.round_to_iemre_grid(lat, lon)
# 0.125 = 1/8, so 8 * coord must be an integer.
assert abs(rlat * 8 - round(rlat * 8)) < 1.0e-9
assert abs(rlon * 8 - round(rlon * 8)) < 1.0e-9
end
end
property "output is within half a grid cell (0.0625°) of the input" do
check all(
lat <- float(min: -89.9, max: 89.9),
lon <- float(min: -179.9, max: 179.9)
) do
{rlat, rlon} = Weather.round_to_iemre_grid(lat, lon)
# Float.round uses banker's rounding so the worst-case gap is
# exactly 0.0625; allow a tiny float epsilon.
assert abs(rlat - lat) <= 0.0625 + 1.0e-9
assert abs(rlon - lon) <= 0.0625 + 1.0e-9
end
end
end
describe "HrrrClient.nearest_hrrr_hour/1" do
property "is idempotent — once snapped, always snapped" do
check all(dt <- datetime_generator()) do
once = HrrrClient.nearest_hrrr_hour(dt)
twice = HrrrClient.nearest_hrrr_hour(once)
assert DateTime.compare(once, twice) == :eq
end
end
property "output is always exactly on the hour" do
check all(dt <- datetime_generator()) do
result = HrrrClient.nearest_hrrr_hour(dt)
assert result.minute == 0
assert result.second == 0
end
end
property "output is within 30 minutes of the input" do
check all(dt <- datetime_generator()) do
result = HrrrClient.nearest_hrrr_hour(dt)
delta_sec = abs(DateTime.diff(result, dt, :second))
# Input minute < 30 rounds down; >= 30 rounds up. Worst-case
# gap is exactly 30:00.
assert delta_sec <= 30 * 60
end
end
property "rounds minute >= 30 up to next hour" do
check all(dt <- datetime_generator(minute_range: 30..59)) do
result = HrrrClient.nearest_hrrr_hour(dt)
# result hour is strictly greater than input hour (modulo day/month rollover).
assert DateTime.after?(result, dt)
end
end
end
describe "NexradClient.round_to_5min/1" do
property "is idempotent" do
check all(dt <- datetime_generator()) do
once = NexradClient.round_to_5min(dt)
twice = NexradClient.round_to_5min(once)
assert DateTime.compare(once, twice) == :eq
end
end
property "output minute is a multiple of 5" do
check all(dt <- datetime_generator()) do
result = NexradClient.round_to_5min(dt)
assert rem(result.minute, 5) == 0
assert result.second == 0
end
end
property "output is never later than the input (floor, not round)" do
check all(dt <- datetime_generator()) do
result = NexradClient.round_to_5min(dt)
assert DateTime.compare(result, dt) in [:lt, :eq]
end
end
property "output is within 5 minutes of input" do
check all(dt <- datetime_generator()) do
result = NexradClient.round_to_5min(dt)
delta_sec = DateTime.diff(dt, result, :second)
assert delta_sec >= 0
assert delta_sec < 5 * 60
end
end
end
describe "NarrClient.snap_to_analysis_hour/1" do
property "is idempotent" do
check all(dt <- datetime_generator()) do
once = NarrClient.snap_to_analysis_hour(dt)
twice = NarrClient.snap_to_analysis_hour(once)
assert DateTime.compare(once, twice) == :eq
end
end
property "output hour is in {0, 3, 6, 9, 12, 15, 18, 21}" do
check all(dt <- datetime_generator()) do
result = NarrClient.snap_to_analysis_hour(dt)
assert result.hour in [0, 3, 6, 9, 12, 15, 18, 21]
assert result.minute == 0
assert result.second == 0
end
end
property "output is never later than the input (floors to slot)" do
check all(dt <- datetime_generator()) do
result = NarrClient.snap_to_analysis_hour(dt)
assert DateTime.compare(result, dt) in [:lt, :eq]
end
end
property "output is within 3 hours of input" do
check all(dt <- datetime_generator()) do
result = NarrClient.snap_to_analysis_hour(dt)
delta_sec = DateTime.diff(dt, result, :second)
assert delta_sec >= 0
assert delta_sec < 3 * 3600
end
end
end
describe "NarrClient.in_coverage?/1" do
property "coverage_end is the first excluded timestamp (exclusive upper bound)" do
coverage_end = NarrClient.coverage_end()
refute NarrClient.in_coverage?(coverage_end)
one_sec_before = DateTime.add(coverage_end, -1, :second)
assert NarrClient.in_coverage?(one_sec_before)
end
property "any DateTime after coverage_end is out of coverage" do
coverage_end = NarrClient.coverage_end()
check all(seconds_after <- integer(1..100_000_000)) do
dt = DateTime.add(coverage_end, seconds_after, :second)
refute NarrClient.in_coverage?(dt)
end
end
end
# Generate DateTimes across the HRRR archive era. Avoiding DST
# discontinuities and month-boundary edge cases by staying well inside
# a single month — snap_to_analysis_hour / nearest_hrrr_hour are
# purely field-arithmetic on the DateTime struct, so this is enough
# to exercise every branch.
defp datetime_generator(opts \\ []) do
minute_range = Keyword.get(opts, :minute_range, 0..59)
gen all(
year <- integer(2019..2030),
month <- integer(1..12),
day <- integer(1..28),
hour <- integer(0..23),
minute <- integer(minute_range),
second <- integer(0..59)
) do
%DateTime{
year: year,
month: month,
day: day,
hour: hour,
minute: minute,
second: second,
microsecond: {0, 0},
std_offset: 0,
utc_offset: 0,
zone_abbr: "UTC",
time_zone: "Etc/UTC"
}
end
end
end

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@ -1,5 +1,6 @@
defmodule Microwaveprop.Workers.IemreFetchWorkerTest do
use Microwaveprop.DataCase, async: true
use ExUnitProperties
alias Microwaveprop.Weather
alias Microwaveprop.Weather.IemClient
@ -149,5 +150,34 @@ defmodule Microwaveprop.Workers.IemreFetchWorkerTest do
assert IemreFetchWorker.backoff(%Oban.Job{attempt: 10}) == 21_600
assert IemreFetchWorker.backoff(%Oban.Job{attempt: 20}) == 21_600
end
property "is always in the [120, 21_600] interval" do
check all(attempt <- integer(1..100)) do
b = IemreFetchWorker.backoff(%Oban.Job{attempt: attempt})
assert b >= 120
assert b <= 21_600
end
end
property "is monotonic non-decreasing in attempt" do
check all(
a <- integer(1..50),
delta <- integer(0..50)
) do
b = a + delta
assert IemreFetchWorker.backoff(%Oban.Job{attempt: a}) <=
IemreFetchWorker.backoff(%Oban.Job{attempt: b})
end
end
property "matches 120 * 2^(attempt-1) before the cap kicks in" do
# cap = 21_600 = 120 * 180; 2^7 = 128 < 180 < 256 = 2^8, so
# attempts 1..7 are always pre-cap.
check all(attempt <- integer(1..7)) do
expected = 120 * Integer.pow(2, attempt - 1)
assert IemreFetchWorker.backoff(%Oban.Job{attempt: attempt}) == expected
end
end
end
end