Composer l'image de la planche en Lambert 93 depuis les sources de la pyramide

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>

lidar_pipeline/tests/test_export_pdf.py

@@ -67,3 +67,55 @@ def test_export_modules_import_without_numpy():
             "import lidar_pipeline.export_pdf, lidar_pipeline.tiles; print('ok')")
     r = subprocess.run([sys.executable, "-c", code], capture_output=True, text=True)
     assert r.returncode == 0, r.stderr
+
+
+def _dalle(tmp_path, col, row, color=(200, 30, 30), px=100, layer="relief_oriente"):
+    from lidar_pipeline import index, tiles
+    from lidar_pipeline.tests.test_tiles import _make_dalle
+    _make_dalle(tmp_path, col, row, [layer], color=color, px=px)
+    tiles.source_index(tmp_path, force=True)
+
+
+def test_nodata_color_matches_visualizations():
+    from lidar_pipeline.export_pdf import NODATA_RGB
+    from lidar_pipeline.visualizations import RELIEF_NODATA_RGB
+    assert NODATA_RGB == tuple(RELIEF_NODATA_RGB)
+
+
+def test_compose_l93_full_cell(tmp_path, monkeypatch):
+    from lidar_pipeline import index
+    from lidar_pipeline.export_pdf import compose_l93
+    monkeypatch.setattr(index, "PANEL_VIZ", None)
+    _dalle(tmp_path, 1054, 6882)
+    img, mask, cells = compose_l93(tmp_path, (1054200.0, 6881200.0, 1054400.0, 6881300.0), 1.0)
+    assert img.size == (200, 100) and cells == [(1054, 6882)]
+    assert mask.getextrema() == (255, 255)
+    r, g, b = img.getpixel((100, 50))
+    assert r > 150 and g < 80 and b < 80
+
+
+def test_compose_l93_half_outside_is_white_hatched(tmp_path, monkeypatch):
+    from lidar_pipeline import index
+    from lidar_pipeline.export_pdf import compose_l93
+    monkeypatch.setattr(index, "PANEL_VIZ", None)
+    _dalle(tmp_path, 1054, 6882)
+    # moitié ouest dans la dalle, moitié est hors données
+    img, mask, cells = compose_l93(tmp_path, (1054900.0, 6881400.0, 1055100.0, 6881500.0), 1.0)
+    assert mask.getpixel((50, 50)) == 255 and mask.getpixel((150, 50)) == 0
+    east = img.crop((110, 0, 200, 100)).convert("L").getextrema()
+    assert east[1] == 255 and east[0] < 255          # blanc + hachures
+
+
+def test_compose_l93_nodata_pixels_masked(tmp_path, monkeypatch):
+    from lidar_pipeline import index
+    from lidar_pipeline.export_pdf import NODATA_RGB, compose_l93
+    monkeypatch.setattr(index, "PANEL_VIZ", None)
+    _dalle(tmp_path, 1054, 6882, color=NODATA_RGB)
+    img, mask, cells = compose_l93(tmp_path, (1054200.0, 6881200.0, 1054400.0, 6881300.0), 1.0)
+    assert mask.getextrema() == (0, 0)
+
+
+def test_compose_l93_no_data_returns_empty_cells(tmp_path):
+    from lidar_pipeline.export_pdf import compose_l93
+    img, mask, cells = compose_l93(tmp_path, (0.0, 0.0, 100.0, 100.0), 1.0)
+    assert cells == [] and mask.getextrema() == (0, 0)