Working implementation of DefaultDataPresenter

src/workflow/engine.py

@@ -105,32 +105,6 @@ class JiraDataProducer(DataProducer):
     yield from jira.jql(self.jira_query)
 
 
-class DefaultDataPresenter(DataPresenter):
-  """Default data presenter that returns the input data unchanged."""
-  
-  def __init__(self, component_id: str, columns_as_str: str):
-    super().__init__(component_id)
-    if not columns_as_str or columns_as_str == "*":
-      self.mappings = None
-    
-    else:
-      
-      self.mappings = {}
-      temp_mappings = [col.strip() for col in columns_as_str.split(",")]
-      for mapping in temp_mappings:
-        if "=" in mapping:
-          key, value = mapping.split("=")
-          self.mappings[key] = value
-        else:
-          self.mappings[mapping] = mapping
-  
-  def present(self, data: Any) -> Any:
-    if self.mappings is None:
-      return data
-    
-    return Expando(data.to_dict(self.mappings))
-
-
 class DefaultDataFilter(DataFilter):
   def __init__(self, component_id: str, filter_expression: str):
     super().__init__(component_id)
@@ -173,7 +147,6 @@ class WorkflowEngine:
     for processed_item in processor.process(item):
       # Recursively process through remaining processors
       yield from self._process_single_item(processed_item, processor_index + 1)
-
   
   def run(self) -> Generator[Any, None, None]:
     """