One method
Most of the time if I have functionality that is shared between Operators, I'll take them out of the class and reference them in the operators.
def some_shared_function(caller, context):
# ...
return
class A(bpy.types.Operator):
(...)
def execute(self,context):
some_shared_function(self, context)
class B(bpy.types.Operator):
(...)
def execute(self,context):
# other code here
some_shared_function(self, context)
Another method
Or make the operator behave differently depending on the passed parameters
class AB(bpy.types.Operator):
bl_idname = "wm.simple_multi_operator"
bl_label = "Multi Purpose Operator"
param_one = StringProperty()
# param_two = StringProperty()
def execute(self,context):
if self.param_one == 'A':
self.some_functionality(context)
elif self.param_one == 'B':
# some other code
self.some_functionality(context)
return {'FINISHED'}
def some_functionality(self, context):
...
in your ui code you'd pass parameters like this
row = layout.row()
opname = "wm.simple_multi_operator"
row.operator(opname, text='A').param_one = 'A'
row.operator(opname, text='B').param_one = 'B'
# if you have more than one property for the operator
op_two = row.operator(opname, text='B / Mode Y')
op_two.param_one = 'B'
op_two.param_two = 'Mode Y'
calling the operator from a script directly works this way
# or calling from a script
bpy.ops.wm.simple_multi_operator(param_one='A')
bpy.ops.wm.simple_multi_operator(param_one='B')
# with more than one parameter pass the keywords and values
bpy.ops.wm.simple_multi_operator(param_one='B', param_two='Mode Y')
There pros and cons with this method worth mentioning.
- con: If you are in the habit of making tooltips for your Operators, this approach doesn't let you define a unique tooltip for the buttons.
- pro: you can quickly give an Operator new functionality without declaring a whole new Operator
Aother method (using Python's classmethod decorator)
import bpy
class A(bpy.types.Operator):
bl_idname = "object.simple_operator_a"
bl_label = "Simple Object Operator A"
def execute(self,context):
self.some_function()
return {'FINISHED'}
@classmethod
def some_function(cls, some_parameter='not woop'):
print('some_parameter', some_parameter)
class B(bpy.types.Operator):
bl_idname = "object.simple_operator_b"
bl_label = "Simple Object Operator B"
def execute(self,context):
A.some_function('woooop')
return {'FINISHED'}
def register():
bpy.utils.register_module(__name__)
def unregister():
bpy.utils.unregister_module(__name__)
if __name__ == "__main__":
register()
then calling them:
>>> bpy.ops.object.simple_operator_a()
some_parameter not woop
{'FINISHED'}
>>> bpy.ops.object.simple_operator_b()
some_parameter woooop
{'FINISHED'}
Not sure if this is helpful, but adding for completeness:
# autocomplete from the open parenthesis gives:
>>> bpy.types.OBJECT_OT_simple_operator_a.some_function(
some_function(cls, some_parameter='not woop')
# calling the function, gives:
>>> bpy.types.OBJECT_OT_simple_operator_a.some_function()
some_parameter not woop