Add submodel template digital nameplate

aas_test_engines/_file/generate.py

@@ -3,11 +3,7 @@
 from fences.json_schema.parse import parse
 from fences.core.node import Node as FlowGraph
 
-
 def generate_graph(schema) -> FlowGraph:
-    # TODO: remove these after fixing fences.core.exception.InternalException: Decision without valid leaf detected
-    del schema['$defs']['AssetInformation']['allOf'][1]['properties']['specificAssetIds']['items']['allOf'][0]
-    del schema['$defs']['Entity']['allOf'][1]
     schema_norm = normalize(schema, False)
     config = default_config()
     config.normalize = False

aas_test_engines/_util.py

@@ -0,0 +1,53 @@
+from typing import Dict, List
+
+def _group(elements: list) -> dict:
+    assert isinstance(elements, list)
+    grouped: Dict[str, List[any]] = {}
+    for item in elements:
+        assert isinstance(item, dict)
+        key = item.get('idShort')
+        assert isinstance(key, str)
+        try:
+            grouped[key].append(item)
+        except KeyError:
+            grouped[key] = [item]
+    return grouped
+
+def group(data: any) -> any:
+    if isinstance(data, list):
+        data = [group(i) for i in data]
+    elif isinstance(data, dict):
+        data: dict = {key: group(value) for key, value in data.items()}
+        if data.get('modelType') == 'SubmodelElementCollection':
+            elements = data.get('value')
+            data['value'] = _group(elements)
+        elif data.get('modelType') == 'Submodel':
+            elements = data.get('submodelElements')
+            data['submodelElements'] = _group(elements)
+    return data
+
+def _un_group(elements: dict) -> list:
+    if not isinstance(elements, dict):
+        return elements
+    un_grouped: List[str, dict] = []
+    for item in elements.values():
+        if isinstance(item, list):
+            un_grouped.extend(item)
+        else:
+            un_grouped.append(item)
+    return un_grouped
+
+def un_group(data: any) -> any:
+    if isinstance(data, list):
+        data = [un_group(i) for i in data]
+        for idx, value in enumerate(data):
+            data[idx] = un_group(value)
+    elif isinstance(data, dict):
+        data = {key: un_group(value) for key, value in data.items()}
+        if data.get('modelType') == 'SubmodelElementCollection':
+            elements = data.get('value')
+            data['value'] = _un_group(elements)
+        elif data.get('modelType') == 'Submodel':
+            elements = data.get('submodelElements')
+            data['submodelElements'] = _un_group(elements)
+    return data