feat(v1): add verified pose adapter

v1/tests/test_pose.py

@@ -0,0 +1,66 @@
+import hashlib
+
+import numpy as np
+import pytest
+
+from v1.pose import ModelValidationError, PoseAdapter
+
+
+class _FakeKeypoints:
+    def __init__(self, data):
+        self.data = data
+
+
+class _FakeBoxes:
+    def __init__(self):
+        self.xyxy = np.array([[10.0, 20.0, 50.0, 90.0], [1.0, 2.0, 3.0, 4.0]])
+        self.conf = np.array([0.9, 0.8])
+        self.cls = np.array([0, 1])
+
+
+class _FakeResult:
+    names = {0: "person", 1: "chair"}
+
+    def __init__(self):
+        person = [[float(index), float(index + 1), 0.9] for index in range(17)]
+        chair = [[float(index), float(index + 1), 0.8] for index in range(17)]
+        self.boxes = _FakeBoxes()
+        self.keypoints = _FakeKeypoints(np.array([person, chair]))
+
+
+def test_pose_adapter_rejects_hash_mismatch_before_loading_model(tmp_path):
+    model_path = tmp_path / "pose.pt"
+    model_path.write_bytes(b"not a real model")
+
+    with pytest.raises(ModelValidationError, match="SHA-256"):
+        PoseAdapter(model_path, expected_sha256="0" * 64)
+
+
+def test_from_results_extracts_person_box_confidence_and_seventeen_keypoints():
+    poses = PoseAdapter.from_results(_FakeResult())
+
+    assert len(poses) == 1
+    assert poses[0].box_xyxy == (10.0, 20.0, 50.0, 90.0)
+    assert poses[0].box_confidence == 0.9
+    assert len(poses[0].keypoints) == 17
+    assert poses[0].keypoints[5].confidence == 0.9
+
+
+def test_pose_adapter_rejects_non_pose_model_after_hash_validation(tmp_path):
+    model_path = tmp_path / "model.pt"
+    model_path.write_bytes(b"model bytes")
+    expected_sha256 = hashlib.sha256(model_path.read_bytes()).hexdigest()
+
+    class _WrongTaskModel:
+        task = "detect"
+        names = {0: "person"}
+
+        class model:
+            kpt_shape = (17, 3)
+
+    with pytest.raises(ModelValidationError, match="task"):
+        PoseAdapter(
+            model_path,
+            expected_sha256=expected_sha256,
+            model_factory=lambda _path: _WrongTaskModel(),
+        )