Update app.py

app.py

@@ -1,44 +1,60 @@
 import streamlit as st
 import json
 import matplotlib.pyplot as plt
+import time
+
 
-# Set Streamlit page configuration
 st.set_page_config(layout="wide")
 
-# Function to load JSON data
+
+
+
+# HIN Number +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
+from SPARQLWrapper import SPARQLWrapper, JSON
+from streamlit_agraph import agraph, TripleStore, Node, Edge, Config
+import json
+
+
+# Green Village ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
+
+
+# Function to load and parse the JSON data
 def load_data(filename):
     with open(filename, 'r') as file:
         data = json.load(file)
     return data
 
-# Dictionary for color codes
+# Color codes updated with hexadecimal values for compatibility
 color_codes = {
-    "residential": "#ADD8E6",
-    "commercial": "#90EE90",
-    "community_facilities": "#FFFF00",
-    "school": "#FFFF00",
-    "healthcare_facility": "#FFFF00",
-    "green_space": "#90EE90",
-    "utility_infrastructure": "#90EE90",
-    "emergency_services": "#FF0000",
-    "cultural_facilities": "#D8BFD8",
-    "recreational_facilities": "#D8BFD8",
-    "innovation_center": "#90EE90",
-    "elderly_care_home": "#FFFF00",
-    "childcare_centers": "#FFFF00",
-    "places_of_worship": "#D8BFD8",
-    "event_spaces": "#D8BFD8",
-    "guest_housing": "#FFA500",
-    "pet_care_facilities": "#FFA500",
-    "public_sanitation_facilities": "#A0A0A0",
-    "environmental_monitoring_stations": "#90EE90",
-    "disaster_preparedness_center": "#A0A0A0",
-    "outdoor_community_spaces": "#90EE90",
+    "residential": "#ADD8E6",  # Light Blue
+    "commercial": "#90EE90",  # Light Green
+    "community_facilities": "#FFFF00",  # Yellow
+    "school": "#FFFF00",  # Yellow
+    "healthcare_facility": "#FFFF00",  # Yellow
+    "green_space": "#90EE90",  # Light Green
+    "utility_infrastructure": "#90EE90",  # Light Green
+    "emergency_services": "#FF0000",  # Red
+    "cultural_facilities": "#D8BFD8",  # Light Purple
+    "recreational_facilities": "#D8BFD8",  # Light Purple
+    "innovation_center": "#90EE90",  # Light Green
+    "elderly_care_home": "#FFFF00",  # Yellow
+    "childcare_centers": "#FFFF00",  # Yellow
+    "places_of_worship": "#D8BFD8",  # Light Purple
+    "event_spaces": "#D8BFD8",  # Light Purple
+    "guest_housing": "#FFA500",  # Orange
+    "pet_care_facilities": "#FFA500",  # Orange
+    "public_sanitation_facilities": "#A0A0A0",  # Grey
+    "environmental_monitoring_stations": "#90EE90",  # Light Green
+    "disaster_preparedness_center": "#A0A0A0",  # Grey
+    "outdoor_community_spaces": "#90EE90"  # Light Green
 }
 
-# Function to draw the grid with optional highlighting and roads
-def draw_grid(data, highlight_coords=None):
+# 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)
@@ -46,65 +62,72 @@ def draw_grid(data, highlight_coords=None):
     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
         
-        if highlight_coords and (coords[0], coords[1]) == tuple(highlight_coords):
-            highlighted_color = "#FFD700"  # Gold for highlighting
-            ax.add_patch(plt.Rectangle((coords[1], nrows-coords[0]-size), size, size, color=highlighted_color, edgecolor='black', linewidth=2))
-        else:
-            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')
-
-    # Drawing roads
-    for road in data.get('roads', []):  # Ensures compatibility if 'roads' key is missing
+        # 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']
-        road_color = road.get('color', '#696969')  # Dark gray as default road color
+        # 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))
+                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))
+                ax.add_patch(plt.Rectangle((x, nrows-start[1]-1), 1, 1, color=road['color']))
+
 
+    # Reverse the y-axis numbers
+    # ax.invert_yaxis()            
+    # Setting labels and title
     ax.set_xlabel('Columns')
     ax.set_ylabel('Rows')
     ax.set_title('Village Layout with Color Coding')
+    
     return fig
 
-# Main Streamlit app function
+
+
+# Streamlit application starts here
 def main():
     st.title('Green Smart Village Application')
-
-    # Divide the page into three columns
+    
+    # Creating three columns
     col1, col2, col3 = st.columns(3)
     
     with col1:
         st.header("Today's Agenda")
+        # Example content for Today's Agenda
         st.write("1. Morning Meeting\n2. Review Project Plans\n3. Lunch Break\n4. Site Visit\n5. Evening Wrap-up")
-        
         st.header("Agent Advisors")
-        st.write("Would you like to optimize your HIN number?")
-        
+        st.write("Would you like to optimize your HIN number")
         st.header("My Incentive")
         st.write("Total incentive for HIN optimization")
     
     with col2:
         st.header("Green Smart Village Layout")
+        # Load and display the data with color coding
         data = load_data('grid.json')  # Ensure this path is correct
-        
-        # Dropdown for selecting a building
+        fig = draw_grid(data)
+        st.pyplot(fig)
+
+        # Interactivity: Selecting a building to display sensor data
         building_options = [f"{bld['type']} at ({bld['coords'][0]}, {bld['coords'][1]})" for bld in data['buildings']]
-        selected_building = st.selectbox("Select a building to highlight:", options=building_options)
+        selected_building = st.selectbox("Select a building to view sensors:", options=building_options)
         selected_index = building_options.index(selected_building)
-        selected_building_coords = data['buildings'][selected_index]['coords']
+        sensors = data['buildings'][selected_index]['sensors']
+        st.write(f"Sensors in selected building: {', '.join(sensors)}")
+
 
-        # Draw the grid with the selected building highlighted and roads
-        fig = draw_grid(data, highlight_coords=selected_building_coords)
-        st.pyplot(fig)
 
     with col3:
         st.header("Check Your HIN Number")
@@ -131,6 +154,7 @@ def main():
         if hin_number:
             st.write("HIN number details...")  # Placeholder for actual HIN number check
 
+    
 
 if __name__ == "__main__":
     main()