Task 9.3 - Weight recalibration via gradient descent:
- Recalibrator module fits logistic regression weights using Nx
- Trains on QSO positives vs random baseline negatives
- Cross-validates by month, normalizes weights to sum to 1.0
- Mix task: mix recalibrate_scorer --sample 5000 --epochs 2000
Task 9.4 - Side-by-side scorer comparison:
- ScorerDiff.compare/3 re-scores grid with old vs new weights
- Reports mean diff, regressions, improvements, per-band breakdown
- Mix task: mix scorer_diff --new-weights '{...}'
Phase 3 - NEXRAD ingestion pipeline:
- NexradClient fetches IEM n0q composite PNGs, extracts per-point
box statistics (mean/max dBZ, texture variance)
- NexradObservation schema with unique (lat, lon, observed_at)
- NexradWorker on :nexrad queue for background processing
- nexrad_texture backtest feature in Features module
- mix nexrad_backfill --limit 200
All tasks added to AdminTaskWorker and Release for production use.
1116 tests, 0 failures.
158 lines
4.8 KiB
Elixir
158 lines
4.8 KiB
Elixir
defmodule Microwaveprop.Weather.NexradClientTest do
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use ExUnit.Case, async: true
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alias Microwaveprop.Weather.NexradClient
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describe "round_to_5min/1" do
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test "rounds down to nearest 5-minute boundary" do
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dt = ~U[2022-08-20 14:07:32Z]
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assert NexradClient.round_to_5min(dt) == ~U[2022-08-20 14:05:00Z]
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end
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test "already on a 5-minute boundary stays unchanged" do
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dt = ~U[2022-08-20 14:10:00Z]
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assert NexradClient.round_to_5min(dt) == ~U[2022-08-20 14:10:00Z]
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end
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test "59 minutes rounds down to 55" do
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dt = ~U[2022-08-20 14:59:59Z]
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assert NexradClient.round_to_5min(dt) == ~U[2022-08-20 14:55:00Z]
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end
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end
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describe "frame_url/1" do
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test "builds correct IEM n0q URL from datetime" do
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dt = ~U[2022-08-20 14:05:00Z]
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url = NexradClient.frame_url(dt)
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assert url ==
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"https://mesonet.agron.iastate.edu/archive/data/2022/08/20/GIS/uscomp/n0q_202208201405.png"
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end
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test "pads single-digit month and day" do
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dt = ~U[2022-01-05 03:00:00Z]
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url = NexradClient.frame_url(dt)
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assert url ==
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"https://mesonet.agron.iastate.edu/archive/data/2022/01/05/GIS/uscomp/n0q_202201050300.png"
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end
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end
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describe "latlon_to_pixel/2" do
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test "converts coordinates to pixel positions" do
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# Top-left corner: lat=50, lon=-126
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{x, y} = NexradClient.latlon_to_pixel(50.0, -126.0)
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assert x == 0
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assert y == 0
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end
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test "bottom-right corner" do
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# lon = -65 -> x = (-65 - -126) / 0.005 = 61 / 0.005 = 12200
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# lat = 23 -> y = (50 - 23) / 0.005 = 27 / 0.005 = 5400
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{x, y} = NexradClient.latlon_to_pixel(23.0, -65.0)
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assert x == 12_200
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assert y == 5400
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end
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test "DFW area" do
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# DFW: lat ~32.9, lon ~-97.0
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{x, y} = NexradClient.latlon_to_pixel(32.9, -97.0)
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# x = (-97 - -126) / 0.005 = 29 / 0.005 = 5800
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assert x == 5800
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# y = (50 - 32.9) / 0.005 = 17.1 / 0.005 = 3420
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assert y == 3420
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end
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end
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describe "extract_box/4" do
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test "extracts stats from a box of pixel values" do
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# Create a simple 100x100 image (all zeros except a small region)
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width = 100
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height = 100
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pixels = :binary.copy(<<0>>, width * height)
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# Put some non-zero values around pixel (50, 50) - a 5x5 block
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pixels =
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Enum.reduce(48..52, pixels, fn y, acc ->
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Enum.reduce(48..52, acc, fn x, inner_acc ->
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offset = y * width + x
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<<pre::binary-size(offset), _::8, post::binary>> = inner_acc
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<<pre::binary, 120::8, post::binary>>
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end)
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end)
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result = NexradClient.extract_box(pixels, width, 50, 50, 5)
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assert result.pixel_count == 25
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assert result.max_reflectivity_dbz > 0
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assert result.mean_reflectivity_dbz > 0
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assert result.texture_variance == 0.0
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end
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test "returns zeros for an empty box" do
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width = 100
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height = 100
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pixels = :binary.copy(<<0>>, width * height)
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result = NexradClient.extract_box(pixels, width, 50, 50, 5)
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assert result.pixel_count == 0
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assert result.mean_reflectivity_dbz == 0.0
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assert result.max_reflectivity_dbz == 0.0
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assert result.texture_variance == 0.0
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end
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test "computes texture variance for mixed values" do
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width = 100
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height = 100
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pixels = :binary.copy(<<0>>, width * height)
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# Place alternating values: half 100, half 200
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pixels =
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Enum.reduce(48..52, pixels, fn y, acc ->
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Enum.reduce(48..52, acc, fn x, inner_acc ->
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offset = y * width + x
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value = if rem(x + y, 2) == 0, do: 100, else: 200
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<<pre::binary-size(offset), _::8, post::binary>> = inner_acc
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<<pre::binary, value::8, post::binary>>
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end)
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end)
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result = NexradClient.extract_box(pixels, width, 50, 50, 5)
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assert result.pixel_count == 25
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# Variance should be non-zero since we have mixed values
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assert result.texture_variance > 0.0
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end
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test "handles box at image boundary by clamping" do
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width = 100
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height = 100
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pixels = :binary.copy(<<50>>, width * height)
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# Corner case: near edge
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result = NexradClient.extract_box(pixels, width, 2, 2, 25)
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# Should not crash; pixel_count depends on how many pixels are in bounds
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assert result.pixel_count > 0
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end
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end
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describe "pixel_to_dbz/1" do
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test "value 0 maps to 0 (no echo)" do
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assert NexradClient.pixel_to_dbz(0) == 0.0
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end
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test "value 255 maps to approximately 95 dBZ" do
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dbz = NexradClient.pixel_to_dbz(255)
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assert_in_delta dbz, 95.0, 1.0
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end
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test "mid-range value produces reasonable dBZ" do
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dbz = NexradClient.pixel_to_dbz(128)
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assert dbz > 0.0
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assert dbz < 95.0
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end
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end
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end
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