Fix issue #76: [C4GT Community]: Add Dynamic Color Scaling to GeoPlot…

geoplot.py

@@ -82,19 +82,28 @@
 				return result
 			}
 
-			function getColor(value, min, max) {
-				const factor = (value - min) / (max - min)
-				return interpolateColor(
-					Cesium.Color.BLUE,
-					Cesium.Color.RED,
-					factor
-				)
+			function getColor(value) {
+            // Use the injected min/max for dynamic color scaling.
+    		// If min == max, factor will be NaN; handle this gracefully.
+    			const min = parseFloat('$colorScaleMin');
+    			const max = parseFloat('$colorScaleMax');
+    			const factor = (value - min) / (max - min);
+    			return interpolateColor(
+        			Cesium.Color.BLUE,
+        			Cesium.Color.RED,
+        			Math.max(0, Math.min(1, factor))
+    		);
 			}
 
-			function getPixelSize(value, min, max) {
-				const factor = (value - min) / (max - min)
-				return 100 * (1 + factor)
-			}
+			function getPixelSize(value) {
+            // Use the injected min/max for dynamic size scaling.
+			// If min == max, factor will be NaN; handle this gracefully.	
+    			const min = parseFloat('$colorScaleMin');
+    			const max = parseFloat('$colorScaleMax');
+    			const factor = (value - min) / (max - min);
+    			return 100 * (1 + Math.max(0, Math.min(1, factor)));
+		}
+
 
 			function processTimeSeriesData(geoJsonData) {
 				const timeSeriesMap = new Map()
@@ -160,8 +169,8 @@
 							time,
 							getColor(
 								value,
-								timeSeriesData.minValue,
-								timeSeriesData.maxValue
+								getColor(value)
+
 							)
 						)
 
@@ -170,8 +179,7 @@
   							time,
   							getPixelSize(
   								value,
-  								timeSeriesData.minValue,
-  								timeSeriesData.maxValue
+  								getPixelSize(value)
   							)
   						)
 						}
@@ -233,6 +241,12 @@ def __init__(self, config, options):
             options["feature"],
             options["visualization_type"],
         )
+        # Optional: User can manually specify color scale bounds.
+        # If not provided, these will be computed dynamically from the data.
+        self.color_scale_min = options.get("color_scale_min", None)
+        self.color_scale_max = options.get("color_scale_max", None)
+
+
 
     def render(self, state_trajectory):
         coords, values = [], []
@@ -246,7 +260,14 @@ def render(self, state_trajectory):
             values.append(
                 np.array(read_var(final_state, self.entity_property)).flatten().tolist()
             )
-
+        # Flatten all property values for min/max calculation.
+        all_values = [v for value_list in values for v in value_list]
+        # Determine color scale bounds:
+        # Use user-specified min/max if provided, otherwise compute from data.
+        min_value = self.color_scale_min if self.color_scale_min is not None else min(all_values)
+
+        max_value = self.color_scale_max if self.color_scale_max is not None else max(all_values)
+		# Generate timestamps for each step in the simulation.
         start_time = pd.Timestamp.utcnow()
         timestamps = [
             start_time + pd.Timedelta(seconds=i * self.step_time)
@@ -255,7 +276,7 @@ def render(self, state_trajectory):
                 * self.config["simulation_metadata"]["num_steps_per_episode"]
             )
         ]
-
+		# Generate GeoJSON data for each coordinate and its corresponding values.
         geojsons = []
         for i, coord in enumerate(coords):
             features = []
@@ -274,10 +295,11 @@ def render(self, state_trajectory):
                     }
                 )
             geojsons.append({"type": "FeatureCollection", "features": features})
-
+		# Save GeoJSON data to file.
         with open(geodata_path, "w", encoding="utf-8") as f:
             json.dump(geojsons, f, ensure_ascii=False, indent=2)
-
+		# Generate HTML file for visualization.
+		# Use the template to create the HTML file.
         tmpl = Template(geoplot_template)
         with open(geoplot_path, "w", encoding="utf-8") as f:
             f.write(
@@ -288,6 +310,8 @@ def render(self, state_trajectory):
                         "stopTime": timestamps[-1].isoformat(),
                         "data": json.dumps(geojsons),
                         "visualType": self.visualization_type,
+                        "colorScaleMin": min_value,
+                        "colorScaleMax": max_value,
                     }
                 )
             )