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| import streamlit as st | |
| import json | |
| import matplotlib.pyplot as plt | |
| # Function to load and parse the JSON data | |
| def load_data(filename): | |
| with open(filename, 'r') as file: | |
| data = json.load(file) | |
| return data | |
| # Color codes updated with hexadecimal values for compatibility | |
| color_codes = { | |
| "residential": "#ADD8E6", # Light Blue | |
| "commercial": "#008000", # Green | |
| "community_facilities": "#FFFF00", # Yellow | |
| "school": "#FFFF00", # Yellow | |
| "healthcare_facility": "#FFFF00", # Yellow | |
| "green_space": "#006400", # Dark Green | |
| "utility_infrastructure": "#006400", # Dark Green | |
| "emergency_services": "#FF0000", # Red | |
| "cultural_facilities": "#800080", # Purple | |
| "recreational_facilities": "#800080", # Purple | |
| "innovation_center": "#008000", # Green | |
| "elderly_care_home": "#FFFF00", # Yellow | |
| "childcare_centers": "#FFFF00", # Yellow | |
| "places_of_worship": "#800080", # Purple | |
| "event_spaces": "#800080", # Purple | |
| "guest_housing": "#FFA500", # Orange | |
| "pet_care_facilities": "#FFA500", # Orange | |
| "public_sanitation_facilities": "#808080", # Grey | |
| "environmental_monitoring_stations": "#006400", # Dark Green | |
| "disaster_preparedness_center": "#808080", # Grey | |
| "outdoor_community_spaces": "#006400" # Dark Green | |
| } | |
| # Function to draw the grid layout with color coding | |
| def draw_grid(data): | |
| # Create a figure and a grid of subplots | |
| fig, ax = plt.subplots(figsize=(12, 12)) | |
| # Setting the grid size | |
| nrows, ncols = data['size']['rows'], data['size']['columns'] | |
| ax.set_xlim(0, ncols) | |
| ax.set_ylim(0, nrows) | |
| ax.set_xticks(range(ncols+1)) | |
| ax.set_yticks(range(nrows+1)) | |
| ax.grid(True) | |
| # Plotting each building with its assigned color from the color_codes dictionary | |
| for building in data['buildings']: | |
| # Extracting the building details | |
| coords = building['coords'] | |
| b_type = building['type'] | |
| size = building['size'] | |
| color = color_codes.get(b_type, '#FFFFFF') # Default color is white if not specified | |
| # Plotting the building on the grid with color | |
| ax.add_patch(plt.Rectangle((coords[1], nrows-coords[0]-size), size, size, color=color, edgecolor='black', linewidth=1)) | |
| ax.text(coords[1]+0.5*size, nrows-coords[0]-0.5*size, b_type, ha='center', va='center', fontsize=8, color='black') | |
| # Draw roads | |
| for road in data.get('roads', []): # Check for roads in the data, default to empty list if not found | |
| start, end = road['start'], road['end'] | |
| # Determine if the road is vertical or horizontal based on start and end coordinates | |
| if start[0] == end[0]: # Vertical road | |
| for y in range(min(start[1], end[1]), max(start[1], end[1]) + 1): | |
| ax.add_patch(plt.Rectangle((start[0], nrows-y-1), 1, 1, color=road['color'])) | |
| else: # Horizontal road | |
| for x in range(min(start[0], end[0]), max(start[0], end[0]) + 1): | |
| ax.add_patch(plt.Rectangle((x, nrows-start[1]-1), 1, 1, color=road['color'])) | |
| # Setting labels and title | |
| ax.set_xlabel('Columns') | |
| ax.set_ylabel('Rows') | |
| ax.set_title('Village Layout with Color Coding') | |
| return fig | |
| # Streamlit application starts here | |
| def main(): | |
| st.title('Green Smart Village Layout with Color Coding') | |
| # Load and display the data with color coding | |
| data = load_data('grid.json') # Make sure this path is correct | |
| # st.json(data) | |
| # Drawing and displaying the grid layout with color coding | |
| fig = draw_grid(data) | |
| st.pyplot(fig) | |
| if __name__ == "__main__": | |
| main() | |