fix(lab): restore canonical vegetation evidence layers

src/k1link/web/advanced_laboratory_api.py

@@ -75,6 +75,8 @@ _E37_RESULT_ID = re.compile(r"^e37-ravnoves-acceptance-[a-f0-9]{64}$")
 _E38_RESULT_ID = re.compile(r"^e38-perception-baseline-[a-f0-9]{64}$")
 _E39_RESULT_ID = re.compile(r"^e39-perception-refinement-[a-f0-9]{64}$")
 _E40_RESULT_ID = re.compile(r"^e40-perception-product-gate-[a-f0-9]{64}$")
+_M4_RESULT_ID = re.compile(r"^m4-threat-replay-[a-f0-9]{64}$")
+_M49_TGS_RESULT_ID = re.compile(r"^m49-tgs-full-shadow-[a-f0-9]{64}$")
 
 RootProvider = Callable[[], Path | None]
 
@@ -245,6 +247,7 @@ def _advanced_index_item(
         raise ValueError("advanced LAB authority is invalid")
     if document.get("ground_truth") not in (None, False):
         raise ValueError("advanced LAB ground-truth claim is invalid")
+    _validate_product_publication_shape(document, work_id=work_id)
     created_at_utc = document.get("created_at_utc")
     if not isinstance(created_at_utc, str) or not created_at_utc.strip():
         raise ValueError("advanced LAB creation time is invalid")
@@ -256,6 +259,30 @@ def _advanced_index_item(
     }
 
 
+def _validate_product_publication_shape(
+    document: dict[str, Any],
+    *,
+    work_id: str,
+) -> None:
+    if work_id != "lab-v1-vegetation-shadow":
+        return
+    route = document.get("route_video")
+    fusion = route.get("fusion") if isinstance(route, dict) else None
+    if (
+        not isinstance(route, dict)
+        or route.get("view_kind") != "coarse-material-policy-review"
+        or _M4_RESULT_ID.fullmatch(str(route.get("base_m4_result_id", ""))) is None
+        or _M49_TGS_RESULT_ID.fullmatch(str(route.get("linked_tgs_result_id", "")))
+        is None
+        or not isinstance(fusion, dict)
+        or fusion.get("mode") != "synchronised-multilayer-review"
+        or fusion.get("pixel_raster_fusion") is not False
+        or document.get("route_review") is not None
+        or document.get("route_full_review") is not None
+    ):
+        raise ValueError("vegetation LAB has no canonical M4/M4.9 publication shape")
+
+
 def _advanced_index(
     specs: tuple[_AdvancedIndexSpec, ...],
 ) -> dict[str, object]: