Merge pull request #25 from BAMresearch/modifying_databundle_and_associates

cleanup of databundle and adding pipelinedata

Author: toqduj

src/modacor/dataclasses/databundle.py

@@ -8,19 +8,6 @@
 __status__ = "Production"  # "Development", "Production"
 
 
-# add a validator that checks if the keys in the axes list are in the data dictionary
-def validate_axes(instance, attribute, value):
-    """
-    Custom validator to check if the keys in the axes list are in the data dictionary.
-    """
-    if not all(key in instance.data for key in value):
-        raise ValueError(
-            f"""Missing axes must be present in data dictionary
-                         : {set(value) - set(instance.data.keys())}"""
-        )
-    return True
-
-
 class DataBundle(dict):
     """
     DataBundle is a specialized data class for storing related data.
@@ -31,5 +18,5 @@ class DataBundle(dict):
     """
 
     description: str | None = None
-    # as per NXcanSAS, matches the data dimensions to axes
+    # as per NXcanSAS, tells which basedata to plot
     default_plot: str | None = None

src/modacor/dataclasses/pipelinedata.py

@@ -0,0 +1,18 @@
+# src/modacor/dataclasses/pipelinedata.py
+# -*- coding: utf-8 -*-
+__author__ = "Brian R. Pauw"
+__copyright__ = "MoDaCor team"
+__license__ = "BSD3"
+__date__ = "22/05/2025"
+__version__ = "20250522.1"
+__status__ = "Production"  # "Development", "Production"
+
+
+class PipelineData(dict):
+    """
+    Contains a collection of DataBundles used in a given pipeline
+    """
+
+    description: str | None = None
+    # as per NXcanSAS, tells which basedata to plot
+    default_plot: str | None = None