From d1c5190bbb28bf21360d22e50dfbacec1ec9fcfa Mon Sep 17 00:00:00 2001
From: Ben Stull <ben.stull@wiggleverse.org>
Date: Thu, 4 Jun 2026 01:35:15 -0700
Subject: [PATCH] feat: selection Coordinate and weighted distance

---
 hef/selection.py        | 36 +++++++++++++++++++++++++++++
 tests/test_selection.py | 50 +++++++++++++++++++++++++++++++++++++++++
 2 files changed, 86 insertions(+)
 create mode 100644 tests/test_selection.py

diff --git a/hef/selection.py b/hef/selection.py
index 6ddcefa..4a0c6ff 100644
--- a/hef/selection.py
+++ b/hef/selection.py
@@ -1 +1,37 @@
 """Nearest-match selection of a catalog record for a knob coordinate."""
+
+from __future__ import annotations
+
+import math
+from dataclasses import dataclass
+
+from hef.catalog import Record
+
+SELECTOR_MODES = frozenset({"none", "audio", "video", "av"})
+CONTENT_MODES = frozenset({"audio", "video", "av"})
+
+
+@dataclass(frozen=True)
+class Coordinate:
+    left: int
+    right: int
+    dark: int
+    light: int
+
+
+@dataclass(frozen=True)
+class Weights:
+    brain: float = 1.0
+    mood: float = 1.0
+
+
+def distance(a: Coordinate, b: Coordinate, weights: Weights = Weights()) -> float:
+    """Weighted Euclidean distance; brain plane and mood plane weighted separately."""
+    brain_sq = (a.left - b.left) ** 2 + (a.right - b.right) ** 2
+    mood_sq = (a.dark - b.dark) ** 2 + (a.light - b.light) ** 2
+    return math.sqrt(weights.brain * brain_sq + weights.mood * mood_sq)
+
+
+def record_coordinate(record: Record) -> Coordinate:
+    """The (left, right, dark, light) coordinate of a catalog record."""
+    return Coordinate(record.left, record.right, record.dark, record.light)
diff --git a/tests/test_selection.py b/tests/test_selection.py
new file mode 100644
index 0000000..ac6d1d4
--- /dev/null
+++ b/tests/test_selection.py
@@ -0,0 +1,50 @@
+import math
+
+import pytest
+
+from hef.catalog import Record
+from hef.selection import Coordinate, Weights, distance, record_coordinate
+
+
+def make_record(**overrides):
+    base = dict(
+        id="r",
+        title="t",
+        source_url="u",
+        source_archive="internet_archive",
+        license="public_domain",
+        mode="video",
+        left=0,
+        right=0,
+        dark=0,
+        light=0,
+        duration_s=600,
+        file_path="/media/r.mp4",
+    )
+    base.update(overrides)
+    return Record(**base)
+
+
+def test_distance_zero_for_same_point():
+    c = Coordinate(2, 2, 2, 2)
+    assert distance(c, c) == 0.0
+
+
+def test_distance_is_euclidean_by_default():
+    a = Coordinate(0, 0, 0, 0)
+    b = Coordinate(1, 1, 1, 1)
+    assert distance(a, b) == pytest.approx(2.0)  # sqrt(1+1+1+1)
+
+
+def test_weights_scale_planes_independently():
+    a = Coordinate(0, 0, 0, 0)
+    brain_only = Coordinate(1, 0, 0, 0)
+    mood_only = Coordinate(0, 0, 1, 0)
+    w = Weights(brain=4.0, mood=1.0)
+    assert distance(a, brain_only, w) == pytest.approx(2.0)   # sqrt(4*1)
+    assert distance(a, mood_only, w) == pytest.approx(1.0)    # sqrt(1*1)
+
+
+def test_record_coordinate_extracts_axes():
+    record = make_record(left=1, right=2, dark=3, light=4)
+    assert record_coordinate(record) == Coordinate(1, 2, 3, 4)