Update app.py

app.py

@@ -153,7 +153,7 @@ def interpolation_geojson(json_file, chem_symbol, lat_min, lat_max, long_min, lo
         data_variance = np.var(values)
         data_min = np.min(values)
         data_max = np.max(values)
-        data_count = len(chem_values)
+        data_count = len(values)
 
         # Prepare message with statistics
         message = f"Heatmap of {interpolation_type} interpolated data created successfully for {chem_symbol}.\n"
@@ -623,7 +623,7 @@ def interpolation_contour(json_file, chem_symbol, lat_min, lat_max, long_min, lo
         data_variance = np.var(values)
         data_min = np.min(values)
         data_max = np.max(values)
-        data_count = len(chem_values)
+        data_count = len(values)
 
         # Prepare message with statistics
         message = f"Contour map of {interpolation_type} interpolated data created successfully for {chem_symbol}.\n"
@@ -1141,12 +1141,11 @@ def plot_high_value_points(geojson_file, chem_symbol, lat_min, lat_max, long_min
         # Calculate statistics of the chemical values
         chem_values = gdf[chem_symbol].values
         mean_value = np.mean(chem_values)
-        mode_value = stats.mode(chem_values)  # Properly access the mode value
+        mode_value = stats.mode(chem_values)
         median_value = np.median(chem_values)
         std_deviation = np.std(chem_values)
         variance = np.var(chem_values)
         data_count = len(chem_values)
-
         # Filter points with values higher than the threshold
         high_value_points = gdf[gdf[chem_symbol] > threshold]
         
@@ -1157,20 +1156,34 @@ def plot_high_value_points(geojson_file, chem_symbol, lat_min, lat_max, long_min
         
         # Add markers for high value points with tooltips
         for idx, row in high_value_points.iterrows():
+            tooltip_text = (f'{chem_symbol}: {row[chem_symbol]:.2f} ppm<br>'
+                            f'Coordinates: ({row.geometry.y:.6f}, {row.geometry.x:.6f})')
             folium.Marker(
                 location=[row.geometry.y, row.geometry.x],
-                tooltip=f'{chem_symbol}: {row[chem_symbol]:.2f} ppm'
+                tooltip=tooltip_text
             ).add_to(m)
         
         # Add layer control to toggle markers
         folium.LayerControl().add_to(m)
-        m.add_child(MeasureControl())
+        # Add Measure Control with custom CSS to position it lower
+        measure_control = MeasureControl()
+        m.add_child(measure_control)
+        
+        measure_control_css = """
+        <style>
+        .leaflet-control-measure {
+            top: 60px !important;  /* Adjust this value to move the control lower */
+        }
+        </style>
+        """
+        m.get_root().html.add_child(folium.Element(measure_control_css))
+
 
         north_arrow_svg = """
         <div style="position: fixed; 
-                    bottom: 30px; left: 10px; width: 40px; height: 40px; 
+                    top: 40px; right: 10px; width: 40px; height: 40px; 
                     z-index: 1000; pointer-events: none;">
-                    <div>North</div>
+                    <div style="margin-top:22px;">North</div>
             <svg version="1.1" id="icons" xmlns="http://www.w3.org/2000/svg" x="0" y="0" viewBox="0 0 128 128" style="enable-background:new 0 0 128 128" xml:space="preserve">
                 <style>.st0,.st1{display:none;fill:#191919}.st1,.st3{fill-rule:evenodd;clip-rule:evenodd}.st3,.st4{display:inline;fill:#191919}</style>
                 <g id="row1">
@@ -1189,9 +1202,8 @@ def plot_high_value_points(geojson_file, chem_symbol, lat_min, lat_max, long_min
         message += f"Mode: {mode_value} ppm\n"
         message += f"Median: {median_value:.2f} ppm\n"
         message += f"Standard Deviation: {std_deviation:.2f} ppm\n"
-        message += f"Variance: {variance:.2f} ppm"
-        message += f"Number of points: {data_count}"
-
+        message += f"Variance: {variance:.2f} ppm\n"
+        message += f"Number of points: {data_count}\n"
         return {
             "message": message,
             "html": html_content
@@ -1199,7 +1211,6 @@ def plot_high_value_points(geojson_file, chem_symbol, lat_min, lat_max, long_min
     
     except Exception as e:
         return {"message": f"An error occurred: {str(e)}"}
-
     
 
 def Manager_agent(query, lat_min, lat_max, long_min, long_max):