Reject blank positive imagery in training loop

backend/tests/test_belgium_training_loop.py

@@ -0,0 +1,31 @@
+from __future__ import annotations
+
+import importlib.util
+from pathlib import Path
+
+
+SCRIPT = Path(__file__).parents[2] / "scripts" / "run_belgium_building_training_loop.py"
+SPEC = importlib.util.spec_from_file_location("training_loop", SCRIPT)
+assert SPEC and SPEC.loader
+MODULE = importlib.util.module_from_spec(SPEC)
+SPEC.loader.exec_module(MODULE)
+
+
+def test_training_command_is_cuda_deterministic_and_bound_to_frozen_inputs(tmp_path: Path) -> None:
+    command = MODULE.training_command(
+        "yolo",
+        model=tmp_path / "base.pt",
+        data=tmp_path / "dataset.yaml",
+        project=tmp_path / "runs",
+        name="iteration-001",
+        epochs=160,
+        seed=42,
+        batch=2,
+        workers=4,
+    )
+    assert command[:2] == ["yolo", "train"]
+    assert "device=0" in command
+    assert "deterministic=True" in command
+    assert "seed=42" in command
+    assert "epochs=160" in command
+    assert f"data={tmp_path / 'dataset.yaml'}" in command

backend/tests/test_sprint146_operator_yolo_dataset_quality_audit.py

@@ -65,6 +65,7 @@ def test_operator_yolo_dataset_quality_audit_reports_dataset_risks(tmp_path: Pat
                         "label_count": 2,
                         "is_negative": False,
                         "is_repeated_background_negative": False,
+                        "low_visual_variance": True,
                     },
                     {
                         "sample_slug": "postel_bos",
@@ -144,6 +145,7 @@ def test_operator_yolo_dataset_quality_audit_reports_dataset_risks(tmp_path: Pat
     assert report["positive_sample_count"] == 2
     assert report["background_sample_count"] == 1
     assert report["train_negative_tile_count"] == 2
+    assert report["low_variance_positive_tile_count"] == 1
     assert report["repeated_background_negative_tile_count"] == 1
     assert report["label_stats"]["parsed_label_count"] == 3
     assert report["label_stats"]["invalid_label_count"] == 0
@@ -169,6 +171,7 @@ def test_operator_yolo_dataset_quality_audit_reports_dataset_risks(tmp_path: Pat
     assert "repeated_background_negative_share_above_gate" in warning_codes
     assert "median_box_area_below_gate" in warning_codes
     assert "small_box_share_above_gate" in warning_codes
+    assert "positive_tiles_have_low_visual_variance" in warning_codes
 
     markdown = (output_dir / "operator_yolo_dataset_quality_audit.md").read_text(encoding="utf-8")
     assert "Operator YOLO Dataset Quality Audit" in markdown

backend/tests/test_sprint196_map_orthophoto_analysis.py

@@ -169,7 +169,7 @@ def test_orthophoto_product_registry_exposes_only_governed_official_layers() ->
     assert {"2025", "2012", "2008_2011", "2000_2003", "1979_1990", "1971"}.issubset(keys)
     assert next(item for item in products if item["key"] == "most_recent")["supports_detection"] is True
     detection_keys = {item["key"] for item in products if item["supports_detection"]}
-    assert {"most_recent", "wallonia_latest", "wallonia_2024", "brussels_latest", "brussels_2025", "2025"} <= detection_keys
+    assert {"most_recent", "wallonia_latest", "wallonia_2024", "wallonia_2023", "brussels_latest", "brussels_2025", "2025"} <= detection_keys
     by_key = {item["key"]: item for item in products}
     assert by_key["wallonia_latest"]["provider"] == "spw_orthophoto"
     assert by_key["wallonia_latest"]["coverage_zone"] == "wallonia"