use nme check_for_errors_in_dkt_values for improve error data when fa…

…il to import data

package/PartSegCore/_old_json_hooks.py

@@ -1,3 +1,4 @@
+import nme
 import numpy as np
 from napari.utils import Colormap
 
@@ -90,6 +91,10 @@ def part_hook(dkt):
             dkt["measurement_profile"] = dkt["statistic_profile"]
             del dkt["statistic_profile"]
     except Exception as e:  # pylint: disable=W0703
+        problematic_fields = nme.check_for_errors_in_dkt_values(dkt2)
+        if problematic_fields:
+            dkt2["__error__"] = f"Error in fields: {', '.join(problematic_fields)}"
+            return dkt2
         dkt = dkt2
         dkt["__error__"] = str(e)
 
@@ -149,6 +154,10 @@ def profile_hook(dkt):
                 dkt["colors"].append(dkt["colors"][-1])
             return Colormap(**dkt)
     except Exception as e:  # pylint: disable=W0703
+        problematic_fields = nme.check_for_errors_in_dkt_values(dkt2)
+        if problematic_fields:
+            dkt2["__error__"] = f"Error in fields: {', '.join(problematic_fields)}"
+            return dkt2
         dkt = dkt2
         dkt["__error__"] = str(e)
 

package/PartSegCore/json_hooks.py

@@ -12,6 +12,10 @@ def partseg_object_hook(dkt: dict):
         return nme.nme_object_hook(dkt)
 
     if "__ReadOnly__" in dkt or "__Serializable__" in dkt or "__Enum__" in dkt:
+        problematic_fields = nme.check_for_errors_in_dkt_values(dkt)
+        if problematic_fields:
+            dkt["__error__"] = f"Error in fields: {', '.join(problematic_fields)}"
+            return dkt
         is_enum = "__Enum__" in dkt
         for el in ("__Enum__", "__Serializable__", "__ReadOnly__"):
             dkt.pop(el, None)

setup.cfg

@@ -46,7 +46,7 @@ install_requires =
     magicgui>=0.3.3
     mahotas>=1.4.9
     napari>=0.4.8
-    nme>=0.1.3
+    nme>=0.1.4
     numpy>=1.18.0
     oiffile>=2020.1.18
     openpyxl>=2.4.9