| import os |
| import sys |
| from pathlib import Path |
|
|
| |
| sys.path.append(str(Path(__file__).resolve().parent.parent.parent)) |
|
|
| def create_data_directory(): |
| """ |
| Ensure data directories exist for all generated files. |
| |
| This function creates the necessary directory structure to store |
| delivery data, vehicle data, and travel time matrices. |
| |
| Returns: |
| -------- |
| tuple of (str, str, str) |
| Paths to time matrix directory, vehicle data directory, and delivery data directory |
| """ |
| vehicle_data_dir = os.path.join(os.path.dirname(os.path.dirname(os.path.dirname(__file__))), 'data', 'vehicle-data') |
| os.makedirs(vehicle_data_dir, exist_ok=True) |
|
|
| delivery_data_dir = os.path.join(os.path.dirname(os.path.dirname(os.path.dirname(__file__))), 'data', 'delivery-data') |
| os.makedirs(delivery_data_dir, exist_ok=True) |
|
|
| time_matrix_data_dir = os.path.join(os.path.dirname(os.path.dirname(os.path.dirname(__file__))), 'data', 'time-matrix') |
| os.makedirs(time_matrix_data_dir, exist_ok=True) |
| return time_matrix_data_dir, vehicle_data_dir, delivery_data_dir |
|
|
| def main(): |
| """ |
| Run all data generation scripts for the delivery route optimization project. |
| |
| This function orchestrates the creation of all synthetic datasets needed for |
| the route optimization problem, including delivery data, vehicle data, and |
| travel time/distance matrices. |
| |
| Generated Files: |
| -------------- |
| 1. Delivery Data: |
| - Contains information about delivery locations, time windows, packages, etc. |
| - Used to define the delivery stops in the routing problem. |
| |
| 2. Vehicle Data: |
| - Contains information about the delivery fleet, capacity, depots, etc. |
| - Used to define the available resources for delivery routes. |
| |
| 3. Travel Matrices: |
| - Contains distance and time information between all locations. |
| - Used by the optimization algorithm to calculate route costs. |
| |
| Usage: |
| ------ |
| These generated datasets form the foundation of the delivery route optimization |
| application. Together they define: |
| - Where deliveries need to be made (delivery data) |
| - What resources are available for deliveries (vehicle data) |
| - How long it takes to travel between locations (travel matrices) |
| |
| The route optimization algorithm uses these inputs to determine the most |
| efficient assignment of deliveries to vehicles and the optimal sequence of |
| stops for each vehicle. |
| """ |
| print("Starting data generation process...") |
| |
| time_matrix_data_dir, vehicle_data_dir, delivery_data_dir = create_data_directory() |
| print(f"Time Matrix Data will be saved to: {time_matrix_data_dir}") |
| print(f"Delivery Data will be saved to: {delivery_data_dir}") |
| print(f"Vehicle Data will be saved to: {vehicle_data_dir}") |
|
|
| |
| print("\n1. Generating delivery data...") |
| from src.utils.generate_delivery_data import generate_delivery_data |
| delivery_data = generate_delivery_data(50, use_geocoding=True) |
| |
| |
| print("\n2. Generating vehicle data...") |
| from src.utils.generate_vehicle_data import generate_vehicle_data |
| vehicle_data = generate_vehicle_data(10) |
| |
| |
| print("\n3. Generating travel matrices...") |
| from src.utils.generate_travel_matrix import generate_travel_matrix |
| generate_travel_matrix() |
| |
| print("\nAll data generation complete! Files saved to data directory.") |
|
|
| if __name__ == "__main__": |
| main() |
