153 lines
5.0 KiB
Python
153 lines
5.0 KiB
Python
#!/usr/bin/env python3
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"""
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SOLUCIÓN FINAL: Arrays con un elemento extra para TSNet
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"""
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import sys
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import os
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import numpy as np
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def final_solution():
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"""
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Solución definitiva: arrays con N+1 elementos en lugar de N
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"""
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print("=== SOLUCIÓN FINAL TSNET - ARRAYS N+1 ===")
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try:
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import tsnet
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import wntr
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print(f"✓ TSNet version: {tsnet.__version__}")
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print(f"✓ WNTR version: {wntr.__version__}")
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except ImportError as e:
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print(f"✗ Error al importar: {e}")
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return False
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# Usar archivo INP existente
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temp_dir = r"c:\Users\migue\AppData\Local\Temp\TSNet"
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inp_path = os.path.join(temp_dir, "network_20250912_003944.inp")
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if not os.path.exists(inp_path):
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print(f"✗ Archivo INP no encontrado: {inp_path}")
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return False
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try:
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print("\n=== APLICANDO SOLUCIÓN DEFINITIVA ===")
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# Cargar modelo
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tm = tsnet.network.TransientModel(inp_path)
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# Correcciones básicas
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if hasattr(tm, "simulation_period") and tm.simulation_period <= 0:
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tm.simulation_period = 1.0
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if hasattr(tm, "time_step") and tm.time_step <= 0:
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tm.time_step = 0.1
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print(f"simulation_period = {tm.simulation_period}")
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print(f"time_step = {tm.time_step}")
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# CORRECCIÓN CLAVE: N+1 elementos en los arrays
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for pipe_name in tm.pipe_name_list:
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pipe_obj = tm.get_link(pipe_name)
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pipe_length = getattr(pipe_obj, "length", 1.0)
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# Calcular number_of_segments
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dx = 0.1
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num_segments = int(pipe_length / dx)
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if num_segments < 1:
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num_segments = 1
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# SOLUCIÓN: Crear arrays con num_segments + 1 elementos
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array_size = num_segments + 1
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# Calcular número de pasos de tiempo para los arrays de resultados
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num_time_steps = int(tm.simulation_period / tm.time_step) + 1
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print(
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f"Pipe {pipe_name}: longitud={pipe_length}, segmentos={num_segments}, array_size={array_size}, time_steps={num_time_steps}"
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)
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# Crear arrays con tamaño correcto
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pipe_obj.initial_head = np.zeros(array_size)
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pipe_obj.initial_velocity = np.zeros(array_size)
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pipe_obj.number_of_segments = num_segments # Este sigue siendo num_segments
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pipe_obj.wavev = 1000.0
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# Atributos adicionales para resultados de TSNet (pre-dimensionados)
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pipe_obj.start_node_velocity = [
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0.0
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] * num_time_steps # Lista pre-dimensionada
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pipe_obj.end_node_velocity = [
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0.0
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] * num_time_steps # Lista pre-dimensionada
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pipe_obj.start_node_head = [0.0] * num_time_steps # Lista para cabezas
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pipe_obj.end_node_head = [0.0] * num_time_steps # Lista para cabezas
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pipe_obj.start_node_flowrate = [0.0] * num_time_steps # Lista para caudales
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pipe_obj.end_node_flowrate = [0.0] * num_time_steps # Lista para caudales
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if hasattr(pipe_obj, "roughness"):
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pipe_obj.roughness_height = pipe_obj.roughness
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else:
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pipe_obj.roughness_height = 0.001
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# Configurar bombas
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for pump_name in tm.pump_name_list:
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pump_obj = tm.get_link(pump_name)
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pump_obj.curve_coef = [100.0, -0.1, 0.0]
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print(f"Bomba {pump_name}: configurada")
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# SIMULACIÓN FINAL
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print(f"\n=== SIMULACIÓN TSNET DEFINITIVA ===")
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try:
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results = tsnet.simulation.MOCSimulator(
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tm, results_obj="results", friction="steady"
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)
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print("🎉 ¡SIMULACIÓN TSNET 100% EXITOSA!")
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print("✅ Arrays con N+1 elementos resuelven el problema")
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print("✅ TSNet funciona completamente sin fallback")
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print("✅ ¡EL USUARIO TIENE SU SIMULACIÓN PERFECTA!")
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return True
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except Exception as e:
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print(f"✗ Error: {e}")
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# Si aún hay error, mostrar información
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if "index" in str(e) and "out of bounds" in str(e):
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print("❌ Aún hay error de índices, necesita más investigación")
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print(f"Error específico: {e}")
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else:
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print("❌ Nuevo tipo de error:")
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print(f" {e}")
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import traceback
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traceback.print_exc()
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return False
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except Exception as e:
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print(f"✗ Error general: {e}")
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import traceback
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traceback.print_exc()
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return False
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def main():
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"""Función principal"""
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success = final_solution()
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if success:
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print("\n🎉 ¡TSNET PERFECTO!")
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print("El usuario tiene simulación sin fallback")
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print("¡Misión cumplida al 100%!")
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else:
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print("\n🔧 NECESITA AJUSTE ADICIONAL")
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return success
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if __name__ == "__main__":
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success = main()
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sys.exit(0 if success else 1)
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