Borealis-Legacy/Nodes/General Purpose/math_operation_node.py

110 lines
3.9 KiB
Python

#!/usr/bin/env python3
"""
Standardized Math Operation Node:
- Performs mathematical operations (+, -, *, /, avg) on two inputs.
- Outputs the computed result.
- Uses a global update timer for processing (defined in borealis.py).
- Ensures it always has a "value" property that the Comparison Node can read.
"""
from OdenGraphQt import BaseNode
from Qt import QtCore
class MathOperationNode(BaseNode):
__identifier__ = 'bunny-lab.io.math_node'
NODE_NAME = 'Math Operation'
def __init__(self):
super(MathOperationNode, self).__init__()
self.add_input('A')
self.add_input('B')
self.add_output('Result')
# Drop-down to choose which operation we do:
self.add_combo_menu('operator', 'Operator', items=[
'Add', 'Subtract', 'Multiply', 'Divide', 'Average'
])
# A text field for showing the result to the user:
self.add_text_input('calc_result', 'Result', text='0')
# IMPORTANT: define a "value" property that the Comparison Node can read
# We do not necessarily need a text input for it, but adding it ensures
# it becomes an official property recognized by OdenGraphQt.
self.add_text_input('value', 'Internal Value', text='0')
# Keep a Python-side float of the current computed result:
self.value = 0
# Give the node a nice name:
self.set_name("Math Operation")
# Removed self-contained timer; global timer calls process_input().
def process_input(self):
# Attempt to read "value" from both inputs:
input_a = self.input(0)
input_b = self.input(1)
a_raw = input_a.connected_ports()[0].node().get_property('value') if input_a.connected_ports() else "0"
b_raw = input_b.connected_ports()[0].node().get_property('value') if input_b.connected_ports() else "0"
try:
a_val = float(a_raw)
except (ValueError, TypeError):
a_val = 0.0
try:
b_val = float(b_raw)
except (ValueError, TypeError):
b_val = 0.0
operator = self.get_property('operator')
if operator == 'Add':
result = a_val + b_val
elif operator == 'Subtract':
result = a_val - b_val
elif operator == 'Multiply':
result = a_val * b_val
elif operator == 'Divide':
result = a_val / b_val if b_val != 0 else 0.0
elif operator == 'Average':
result = (a_val + b_val) / 2.0
else:
result = 0.0
# If the computed result changed, update our internal properties and transmit
if self.value != result:
self.value = result
# Update the two text fields so the user sees the numeric result:
self.set_property('calc_result', str(result))
self.set_property('value', str(result)) # <= This is the critical step
# Let downstream nodes know there's new data:
self.transmit_data(result)
def on_input_connected(self, input_port, output_port):
pass
def on_input_disconnected(self, input_port, output_port):
pass
def property_changed(self, property_name):
pass
def receive_data(self, data, source_port_name=None):
pass
def transmit_data(self, data):
output_port = self.output(0)
if output_port and output_port.connected_ports():
for connected_port in output_port.connected_ports():
connected_node = connected_port.node()
if hasattr(connected_node, 'receive_data'):
try:
# Attempt to convert to int if possible, else float
data_int = int(data)
connected_node.receive_data(data_int, source_port_name='Result')
except ValueError:
connected_node.receive_data(data, source_port_name='Result')