LNR-server-01-input-data-processing

import json def identify_critical_facilities_considering_degree(main_json_path): """ Process interdependent_infrastructure_networks_with_resource_demand and facility_importance_using_degree_centrality, allocate resources based on node importance (degree) and resource demand, and save the results to a new JSON file. """ main_json_path = main_json_path.strip().replace('"', '') output_json_path = 'macility_importance_using_degree.json' # Read Global_Data.json file, which contains two important paths with open(main_json_path, 'r') as f: file_paths = json.load(f) # Read interdependent_infrastructure_networks_with_resource_demand file with open(file_paths['interdependent_infrastructure_networks_with_resource_demand'], 'r') as f: network_data = json.load(f) # Read facility_importance_using_degree_centrality.json file with open(file_paths['facility_importance_using_degree_centrality'], 'r') as f: degree_data = json.load(f) nodes = network_data['nodes'] total_resources = network_data['total_resources'] # Extract node infrastructure types and degrees from the degree data node_infrastructure_type = {node['Code']: node['Infrastructure Type'] for node in nodes} node_degrees = {facility['Code']: facility['degree'] for facility in degree_data['nodes']} # Calculate the total degree total_degree = sum(node_degrees.values()) # Calculate resource allocation based on degree and demand best_solution = {} for node in nodes: code = node['Code'] infra_type = node_infrastructure_type[code] # Initialize the best solution for this node best_solution[code] = {} # Check for resource demands dynamically demands = [key for key in node.keys() if key.startswith('node_resource_demand')] # Determine the degree ratio degree_ratio = node_degrees.get(code, 0) / total_degree if total_degree > 0 else 0 # Allocate resources for each existing demand type for demand_key in demands: # Get the demand amount demand_amount = node[demand_key] # Allocate resource based on degree and available total resources if infra_type in total_resources: allocated_resource = degree_ratio * total_resources[infra_type] allocated_resource = min(allocated_resource, demand_amount) # Ensure allocation does not exceed demand # Save allocated resources best_solution[code][demand_key] = allocated_resource # Write the best solution to a new JSON file output_data = { "best_solution": best_solution } with open(output_json_path, 'w') as outfile: json.dump(output_data, outfile, indent=4) # Update Global_Data.json file to include the new path file_paths['facility_importance_using_degree'] = output_json_path with open(main_json_path, 'w') as f: json.dump(file_paths, f, indent=4) return "The facility_importance_using_degree has been saved in Global_Data.json"