Graham McIntire
5a97776fd5
Phase 1 of building-blockage support: implements quadkey math (Bing/MS tile encoding), looks up the MS dataset-links index for UnitedStates, and downloads csv.gz quadkey tiles to /data/buildings (overridable via :buildings_cache_dir). Index is cached 24h; tiles are written once and reused. No path-analysis wiring yet — that's the next slice.
35 lines
1.3 KiB
Elixir
35 lines
1.3 KiB
Elixir
defmodule Microwaveprop.Buildings.MsFootprintsTest do
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use ExUnit.Case, async: true
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alias Microwaveprop.Buildings.MsFootprints
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describe "quadkey/3" do
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test "encodes a known DFW point at zoom 9" do
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# (32.8, -97.0) — urban DFW — lies inside MS quadkey 023112330 at
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# zoom 9, cross-checked against the published dataset index where
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# 023112330 is the 109 MB tile covering the metro core.
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assert MsFootprints.quadkey(32.8, -97.0, 9) == "023112330"
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# A polygon sampled directly from the 023112322 csv.gz file
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# (lat 32.221708, lon -97.736116) confirms that tile's footprint.
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assert MsFootprints.quadkey(32.221708, -97.736116, 9) == "023112322"
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end
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test "Greenwich at zoom 1 hits root quadrants" do
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assert MsFootprints.quadkey(0.5, 0.5, 1) == "1"
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assert MsFootprints.quadkey(-0.5, -0.5, 1) == "2"
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end
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end
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describe "quadkeys_for_bbox/2" do
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test "returns the cell containing a point and immediate neighbors at zoom 9" do
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# Bbox covering ~80 km around DFW should span 4-9 zoom-9 quadkeys.
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bbox = %{"south" => 32.0, "north" => 33.5, "west" => -97.8, "east" => -96.4}
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keys = MsFootprints.quadkeys_for_bbox(bbox, 9)
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assert is_list(keys)
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assert length(keys) > 1
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assert "023112330" in keys
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end
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end
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end
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