8478106e51
GPU: num_gpus() returns real count via _gpu_candidates (was always 0/1), available_gpu_ids() added. Pipeline: round-robin on real GPU host indices instead of file enumerate index. _process_file_standalone signature simplified. Restore generate_aspect using SharedDEM gradient (dy, dx). Colormap twilight 0-360 fixed range. VIZ_STEPS back to 16. Flow accumulation: revert to vectorized numpy D8 direction + module-level numba accumulator (cached, top-down sort) with Python fallback. Priority-flood NaN-aware. Log1p transform. Anomaly mask: replace RMS+fixed 2sigma threshold (was blank) with weighted sum of |z-score| + adaptive percentile threshold. Absolute z-score captures both positive and negative deviations. 6% signal detected vs 0% before.
73 lines
2.8 KiB
Python
73 lines
2.8 KiB
Python
"""Tests for pipeline orchestration."""
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import pytest
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from pathlib import Path
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class TestVizSteps:
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def test_viz_steps_not_empty(self):
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from lidar_pipeline.pipeline import VIZ_STEPS
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assert len(VIZ_STEPS) > 0
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def test_viz_steps_have_callable_functions(self):
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from lidar_pipeline.pipeline import VIZ_STEPS
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for name, func in VIZ_STEPS:
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assert callable(func), f"VIZ_STEPS entry '{name}' is not callable"
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def test_viz_steps_names_unique(self):
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from lidar_pipeline.pipeline import VIZ_STEPS
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names = [name for name, _ in VIZ_STEPS]
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assert len(names) == len(set(names)), "VIZ_STEPS has duplicate names"
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def test_expected_visualization_count(self):
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"""Should have 16 visualizations (14 terrain + ortho + topo)."""
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from lidar_pipeline.pipeline import VIZ_STEPS
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assert len(VIZ_STEPS) == 16
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def test_ortho_and_topo_present(self):
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from lidar_pipeline.pipeline import VIZ_STEPS
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names = [name for name, _ in VIZ_STEPS]
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assert "ortho" in names
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assert "topo" in names
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class TestLidarArchaeoPipeline:
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def test_init_creates_dirs(self, tmp_path):
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from lidar_pipeline.pipeline import LidarArchaeoPipeline
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input_dir = tmp_path / "input"
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input_dir.mkdir()
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output_dir = tmp_path / "output"
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pipeline = LidarArchaeoPipeline(str(input_dir), str(output_dir))
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assert (tmp_path / "output").exists()
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assert (tmp_path / "output" / "DTM").exists()
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assert (tmp_path / "output" / "visualisations").exists()
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assert (tmp_path / "output" / "temp").exists()
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def test_init_raises_on_missing_input(self, tmp_path):
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from lidar_pipeline.pipeline import LidarArchaeoPipeline
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with pytest.raises(ValueError, match="introuvable"):
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LidarArchaeoPipeline("/nonexistent/path", str(tmp_path / "output"))
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def test_find_laz_files_empty(self, tmp_path):
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from lidar_pipeline.pipeline import LidarArchaeoPipeline
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input_dir = tmp_path / "input"
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input_dir.mkdir()
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pipeline = LidarArchaeoPipeline(str(input_dir), str(tmp_path / "output"))
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files = pipeline.find_laz_files()
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assert files == []
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def test_find_laz_files(self, tmp_path):
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from lidar_pipeline.pipeline import LidarArchaeoPipeline
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input_dir = tmp_path / "input"
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input_dir.mkdir()
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(input_dir / "test.laz").touch()
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(input_dir / "other.las").touch()
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(input_dir / "readme.txt").touch()
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pipeline = LidarArchaeoPipeline(str(input_dir), str(tmp_path / "output"))
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files = pipeline.find_laz_files()
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names = [f.name for f in files]
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assert "test.laz" in names
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assert "other.las" in names
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assert "readme.txt" not in names |