Restructured project and implemented virtual python environments to isolate application. Added launch scripts too.
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109
Data/Nodes/General Purpose/math_operation_node.py
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109
Data/Nodes/General Purpose/math_operation_node.py
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#!/usr/bin/env python3
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"""
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Standardized Math Operation Node:
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- Performs mathematical operations (+, -, *, /, avg) on two inputs.
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- Outputs the computed result.
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- Uses a global update timer for processing (defined in borealis.py).
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- Ensures it always has a "value" property that the Comparison Node can read.
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"""
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from OdenGraphQt import BaseNode
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from Qt import QtCore
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class MathOperationNode(BaseNode):
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__identifier__ = 'bunny-lab.io.math_node'
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NODE_NAME = 'Math Operation'
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def __init__(self):
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super(MathOperationNode, self).__init__()
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self.add_input('A')
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self.add_input('B')
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self.add_output('Result')
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# Drop-down to choose which operation we do:
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self.add_combo_menu('operator', 'Operator', items=[
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'Add', 'Subtract', 'Multiply', 'Divide', 'Average'
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])
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# A text field for showing the result to the user:
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self.add_text_input('calc_result', 'Result', text='0')
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# IMPORTANT: define a "value" property that the Comparison Node can read
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# We do not necessarily need a text input for it, but adding it ensures
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# it becomes an official property recognized by OdenGraphQt.
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self.add_text_input('value', 'Internal Value', text='0')
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# Keep a Python-side float of the current computed result:
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self.value = 0
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# Give the node a nice name:
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self.set_name("Math Operation")
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# Removed self-contained timer; global timer calls process_input().
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def process_input(self):
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# Attempt to read "value" from both inputs:
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input_a = self.input(0)
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input_b = self.input(1)
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a_raw = input_a.connected_ports()[0].node().get_property('value') if input_a.connected_ports() else "0"
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b_raw = input_b.connected_ports()[0].node().get_property('value') if input_b.connected_ports() else "0"
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try:
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a_val = float(a_raw)
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except (ValueError, TypeError):
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a_val = 0.0
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try:
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b_val = float(b_raw)
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except (ValueError, TypeError):
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b_val = 0.0
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operator = self.get_property('operator')
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if operator == 'Add':
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result = a_val + b_val
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elif operator == 'Subtract':
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result = a_val - b_val
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elif operator == 'Multiply':
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result = a_val * b_val
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elif operator == 'Divide':
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result = a_val / b_val if b_val != 0 else 0.0
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elif operator == 'Average':
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result = (a_val + b_val) / 2.0
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else:
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result = 0.0
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# If the computed result changed, update our internal properties and transmit
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if self.value != result:
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self.value = result
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# Update the two text fields so the user sees the numeric result:
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self.set_property('calc_result', str(result))
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self.set_property('value', str(result)) # <= This is the critical step
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# Let downstream nodes know there's new data:
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self.transmit_data(result)
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def on_input_connected(self, input_port, output_port):
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pass
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def on_input_disconnected(self, input_port, output_port):
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pass
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def property_changed(self, property_name):
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pass
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def receive_data(self, data, source_port_name=None):
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pass
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def transmit_data(self, data):
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output_port = self.output(0)
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if output_port and output_port.connected_ports():
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for connected_port in output_port.connected_ports():
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connected_node = connected_port.node()
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if hasattr(connected_node, 'receive_data'):
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try:
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# Attempt to convert to int if possible, else float
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data_int = int(data)
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connected_node.receive_data(data_int, source_port_name='Result')
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except ValueError:
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connected_node.receive_data(data, source_port_name='Result')
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