fix(perception): reuse M4.8 for vegetation evidence

src/k1link/laboratory/vegetation_shadow_lab.py

@@ -16,6 +16,16 @@ WORKER_SCHEMA: Final = "missioncore.lab-v1-goose-vegetation-run/v1"
 RESULT_PREFIX: Final = "lab-v1-vegetation-shadow-"
 _CANDIDATES: Final = ("ddrnet", "ppliteseg")
 _MODES: Final = ("goose", "ravnoves")
+_FOCUS_ORDER: Final = (
+    "high_grass",
+    "low_grass",
+    "bush",
+    "tree_trunk",
+    "tree_crown",
+    "hedge",
+    "forest",
+    "crops",
+)
 _IMAGE_KEYS: Final = (
     "source",
     "prediction_semantic",
@@ -93,6 +103,22 @@ def _case_map(result: dict[str, Any], label: str) -> dict[str, dict[str, Any]]:
     return rows
 
 
+def _visual_case_order(row: dict[str, Any]) -> tuple[int, int, str]:
+    focus = _object(row.get("focus"), "GOOSE visual focus")
+    class_name = focus.get("class_name")
+    stratum_rank = focus.get("stratum_rank")
+    case_id = row.get("case_id")
+    if (
+        not isinstance(class_name, str)
+        or class_name not in _FOCUS_ORDER
+        or not isinstance(stratum_rank, int)
+        or stratum_rank <= 0
+        or not isinstance(case_id, str)
+    ):
+        raise VegetationShadowLabError("GOOSE visual focus ordering is invalid")
+    return _FOCUS_ORDER.index(class_name), stratum_rank, case_id
+
+
 def _file_from_case(
     root: Path,
     case: dict[str, Any],
@@ -198,8 +224,14 @@ def seal_vegetation_shadow_lab(
     artifacts: list[dict[str, object]] = []
     catalogs: dict[str, list[dict[str, object]]] = {"goose": [], "ravnoves": []}
     try:
-        for mode in _MODES:
-            for case_id in sorted(cases[("ddrnet", mode)]):
+        # RAVNOVES is retained in the immutable Worker proof and timing summary,
+        # but it has no vegetation truth island. Publishing those urban frames
+        # as primary visual cases would misrepresent the operator question.
+        for mode in ("goose",):
+            for case_id in sorted(
+                cases[("ddrnet", mode)],
+                key=lambda value: _visual_case_order(cases[("ddrnet", mode)][value]),
+            ):
                 ddr_case = cases[("ddrnet", mode)][case_id]
                 pplite_case = cases[("ppliteseg", mode)][case_id]
                 row: dict[str, object] = {
@@ -209,8 +241,13 @@ def seal_vegetation_shadow_lab(
                     "height": ddr_case.get("source_height"),
                     "center_crop_xyxy": ddr_case.get("center_crop_xyxy"),
                     "outside_crop_state": ddr_case.get("outside_crop_state"),
+                    "focus": ddr_case.get("focus"),
                     "assets": {},
                 }
+                if ddr_case.get("focus") != pplite_case.get("focus"):
+                    raise VegetationShadowLabError(
+                        f"{mode} case {case_id} focus contract differs between candidates"
+                    )
                 asset_map = _object(row["assets"], "sealed assets")
                 sources: list[tuple[str, str, dict[str, Any], str]] = [
                     ("source", "ddrnet", ddr_case, "source"),
@@ -218,7 +255,23 @@ def seal_vegetation_shadow_lab(
                     ("ppliteseg", "ppliteseg", pplite_case, "prediction_semantic"),
                 ]
                 if mode == "goose":
-                    sources.append(("truth", "ddrnet", ddr_case, "truth_semantic"))
+                    sources.extend(
+                        (
+                            ("truth", "ddrnet", ddr_case, "truth_semantic"),
+                            (
+                                "ddrnet_error",
+                                "ddrnet",
+                                ddr_case,
+                                "vegetation_material_error",
+                            ),
+                            (
+                                "ppliteseg_error",
+                                "ppliteseg",
+                                pplite_case,
+                                "vegetation_material_error",
+                            ),
+                        )
+                    )
                 else:
                     selected_case = cases[(selected, mode)][case_id]
                     sources.extend(
@@ -328,7 +381,7 @@ def seal_vegetation_shadow_lab(
             },
             "limitations": [
                 "GOOSE validation is external-domain qualification, not RAVNOVES ground truth.",
-                "The RAVNOVES island is visual shadow evidence without independent labels.",
+                "The RAVNOVES shadow remains in Worker proofs and is not catalogued as vegetation evidence because it has no independent labels.",
                 "Vegetation semantics never clears rigid LiDAR/TGS occupancy.",
                 "Undefined pixels outside the 600x600 center crop remain fail-closed.",
             ],