"""Gated end-to-end smoke test for the real MoveNet ONNX model.

Skipped unless the model is bundled AND onnxruntime is installed, so the default
CI/dev suite (no model, no onnxruntime) stays green. On a build/pilot machine that
ran ``python -m edge.tools.fetch_movenet``, this exercises the full adapter path:
frame -> onnxruntime inference -> COCO-17 remap -> list[Person].
"""
import os

import numpy as np
import pytest

MODEL = os.path.join(os.path.dirname(__file__), "..", "..", "models", "movenet_lightning.onnx")


@pytest.mark.skipif(not os.path.exists(MODEL), reason="MoveNet model not bundled")
def test_real_movenet_runs():
    pytest.importorskip("onnxruntime")
    from edge.adapters.movenet_pose import MoveNetPoseAdapter

    adapter = MoveNetPoseAdapter(MODEL)
    persons = adapter.infer(np.full((480, 640, 3), 128, np.uint8))

    # Runs end-to-end; a flat gray frame may yield 0 persons — the contract is
    # only that it returns a list and, when non-empty, each Person has 17 keypoints.
    assert isinstance(persons, list)
    for person in persons:
        assert len(person.keypoints) == 17