58 lines
1.7 KiB
Python
58 lines
1.7 KiB
Python
"""
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Grundlegende Unit- und Fehler-Tests für scripts.
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End-to-end-Tests gegen echte Bilder sind in tests/test_e2e.py
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(erfordert fixtures/Scene*-Ordner, nicht im Repo).
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"""
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import os
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from pathlib import Path
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import pytest
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from scripts import PipelineResult, __version__, estimate_from_dir
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FIXTURES = Path(__file__).parent / "fixtures"
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def test_version_format():
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parts = __version__.split(".")
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assert len(parts) == 3
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assert all(p.isdigit() for p in parts)
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def test_pipeline_result_dataclass():
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r = PipelineResult(
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joints={"x": 50.0, "y": -2.0, "z": 94.0, "a": 20.0, "b": 59.0, "c": 9.0, "e": 3.0},
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confidence={"x": "high", "y": "high", "z": "high", "a": "high", "b": "low", "c": "low", "e": "low"},
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n_markers=42,
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residual_rms=1.45,
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processing_ms=1200.0,
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)
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assert r.joints["x"] == 50.0
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assert r.confidence["b"] == "low"
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assert r.n_markers == 42
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assert r.errors == []
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def test_estimate_raises_on_empty_dir(tmp_path):
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with pytest.raises(FileNotFoundError, match="render_"):
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estimate_from_dir(tmp_path, robot_json=FIXTURES / "robot_minimal.json")
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def test_estimate_raises_without_robot_json(tmp_path):
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env_backup = os.environ.pop("ROBOT_JSON", None)
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try:
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with pytest.raises(ValueError, match="robot_json"):
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estimate_from_dir(tmp_path, robot_json=None)
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finally:
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if env_backup is not None:
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os.environ["ROBOT_JSON"] = env_backup
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def test_robot_minimal_json_is_valid():
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import json
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data = json.loads((FIXTURES / "robot_minimal.json").read_text())
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assert "pose_estimation" in data
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assert "links" in data
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assert data["pose_estimation"]["method"] == "hybrid"
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