Correctly add operators to animation workflow

Author: PProfizi

src/ansys/dpf/core/fields_container.py

@@ -571,11 +571,17 @@ def animate(self, save_as=None, deform_by=None, scale_factor=1.0, **kwargs):
         # Define the field extraction using the fields_container and indices
         extract_field_op = dpf.core.operators.utility.extract_field(self)
         to_render = extract_field_op.outputs.field
+        # Add the operators to the workflow
+        wf.add_operators([extract_field_op, forward_index])
+
+        # Treat multi-component fields by taking their norm
         n_components = self[0].component_count
         if n_components > 1:
             norm_op = dpf.core.operators.math.norm(extract_field_op.outputs.field)
+            wf.add_operator(norm_op)
             to_render = norm_op.outputs.field
 
+        # Get time steps IDs and values
         loop_over = self.get_time_scoping()
         frequencies = self.time_freq_support.time_frequencies
         if frequencies is None:
@@ -586,8 +592,6 @@ def animate(self, save_as=None, deform_by=None, scale_factor=1.0, **kwargs):
 
         wf.set_input_name("indices", extract_field_op.inputs.indices)  # Have to do it this way
         wf.connect("indices", forward_index)  # Otherwise not accepted
-        # Add the operators to the workflow
-        wf.add_operators([extract_field_op, forward_index])
 
         deform = True
         # Define whether to deform and what with
@@ -627,6 +631,10 @@ def animate(self, save_as=None, deform_by=None, scale_factor=1.0, **kwargs):
                 extract_field_op_2.outputs.field, extract_scale_factor_op.outputs.field
             )
             wf.set_output_name("deform_by", divide_op.outputs.field)
+
+            wf.add_operators(
+                [scale_factor_invert, extract_field_op_2, extract_scale_factor_op, divide_op]
+            )
         else:
             scale_factor = None
         wf.set_output_name("to_render", to_render)