Flask COrs

roadcast/app.py

@@ -1,4 +1,5 @@
 from flask import Flask, request, jsonify
+from flask_cors import CORS
 from dotenv import load_dotenv
 from train import compute_index
 from models import load_model
@@ -8,6 +9,14 @@ from models import MLP
 load_dotenv()
 
 app = Flask(__name__)
+# Enable CORS for all routes, origins, and methods
+CORS(app, resources={
+    r"/*": {
+        "origins": "*",
+        "methods": ["GET", "POST", "PUT", "DELETE", "OPTIONS"],
+        "allow_headers": ["Content-Type", "Authorization", "Accept", "Origin", "X-Requested-With"]
+    }
+})
 import os
 import threading
 import json
@@ -121,6 +130,7 @@ def predict_endpoint():
     # build feature vector of correct length and populate lat/lon using preprocess meta if available
     feature_vector = np.zeros(int(input_dim), dtype=float)
     meta_path = os.path.join(os.getcwd(), 'preprocess_meta.npz')
+    
     if os.path.exists(meta_path):
         try:
             meta = np.load(meta_path, allow_pickle=True)
@@ -128,33 +138,83 @@ def predict_endpoint():
             means = meta.get('means')
             if means is not None and len(means) == input_dim:
                 feature_vector[:] = means
+                
             col_lower = [c.lower() for c in cols]
-            if 'lat' in col_lower:
-                feature_vector[col_lower.index('lat')] = src_lat
-            elif 'latitude' in col_lower:
-                feature_vector[col_lower.index('latitude')] = src_lat
-            else:
-                feature_vector[0] = src_lat
-            if 'lon' in col_lower:
-                feature_vector[col_lower.index('lon')] = src_lon
-            elif 'longitude' in col_lower:
-                feature_vector[col_lower.index('longitude')] = src_lon
-            else:
-                if input_dim > 1:
-                    feature_vector[1] = src_lon
-        except Exception:
+            print(f"📋 Available columns: {col_lower[:10]}...")  # Show first 10 columns
+            
+            # Try to find and populate coordinate fields
+            coord_mappings = [
+                (('lat', 'latitude', 'src_lat', 'source_lat'), src_lat),
+                (('lon', 'lng', 'longitude', 'src_lon', 'source_lon'), src_lon),
+                (('dst_lat', 'dest_lat', 'destination_lat', 'end_lat'), dst_lat),
+                (('dst_lon', 'dest_lon', 'destination_lon', 'end_lon', 'dst_lng'), dst_lon)
+            ]
+            
+            for possible_names, value in coord_mappings:
+                for name in possible_names:
+                    if name in col_lower:
+                        idx = col_lower.index(name)
+                        feature_vector[idx] = value
+                        print(f"✅ Mapped {name} (index {idx}) = {value}")
+                        break
+                        
+            # Calculate route features that might be useful
+            route_distance = ((dst_lat - src_lat)**2 + (dst_lon - src_lon)**2)**0.5
+            midpoint_lat = (src_lat + dst_lat) / 2
+            midpoint_lon = (src_lon + dst_lon) / 2
+            
+            # Try to populate additional features that might exist
+            additional_features = {
+                'distance': route_distance,
+                'route_distance': route_distance,
+                'midpoint_lat': midpoint_lat,
+                'midpoint_lon': midpoint_lon,
+                'lat_diff': abs(dst_lat - src_lat),
+                'lon_diff': abs(dst_lon - src_lon)
+            }
+            
+            for feature_name, feature_value in additional_features.items():
+                if feature_name in col_lower:
+                    idx = col_lower.index(feature_name)
+                    feature_vector[idx] = feature_value
+                    print(f"✅ Mapped {feature_name} (index {idx}) = {feature_value}")
+                    
+        except Exception as e:
+            print(f"⚠️ Error processing metadata: {e}")
+            # Fallback to simple coordinate mapping
             feature_vector[:] = 0.0
             feature_vector[0] = src_lat
             if input_dim > 1:
                 feature_vector[1] = src_lon
+            if input_dim > 2:
+                feature_vector[2] = dst_lat
+            if input_dim > 3:
+                feature_vector[3] = dst_lon
     else:
+        print("⚠️ No preprocess_meta.npz found, using simple coordinate mapping")
+        # Simple fallback mapping
         feature_vector[0] = src_lat
         if input_dim > 1:
             feature_vector[1] = src_lon
+        if input_dim > 2:
+            feature_vector[2] = dst_lat
+        if input_dim > 3:
+            feature_vector[3] = dst_lon
+        
+        # Add some derived features to create more variation
+        if input_dim > 4:
+            feature_vector[4] = ((dst_lat - src_lat)**2 + (dst_lon - src_lon)**2)**0.5  # distance
+        if input_dim > 5:
+            feature_vector[5] = (src_lat + dst_lat) / 2  # midpoint lat
+        if input_dim > 6:
+            feature_vector[6] = (src_lon + dst_lon) / 2  # midpoint lon
 
     # compute index using model
     try:
+        print(f"🔍 Feature vector for prediction: {feature_vector[:8]}...")  # Show first 8 values
+        print(f"📍 Coordinates: src({src_lat}, {src_lon}) → dst({dst_lat}, {dst_lon})")
         index = compute_index(model, feature_vector)
+        print(f"📊 Computed index: {index}")
     except Exception as e:
         return jsonify({"error": "compute_index failed", "detail": str(e)}), 500
 

web/src/app/components/UnifiedControlPanel.tsx

@@ -88,9 +88,14 @@ export default function UnifiedControlPanel({
 	// Check AI API status when AI magnitudes are enabled
 	useEffect(() => {
 		if (useAIMagnitudes) {
-			const checkApiStatus = () => {
-				const status = getCircuitBreakerStatus();
-				setAiApiStatus(status);
+			const checkApiStatus = async () => {
+				try {
+					const status = await getCircuitBreakerStatus();
+					setAiApiStatus(status);
+				} catch (error) {
+					console.error('Error checking API status:', error);
+					setAiApiStatus({ isOpen: true, failures: 1 });
+				}
 			};
 			
 			// Check immediately

web/src/app/lib/mapUtils.ts

@@ -78,14 +78,24 @@ export const convertCrashDataToGeoJSONWithAI = async (crashes: CrashData[]): Pro
                 const prediction = await getCachedCrashMagnitude(crash.latitude, crash.longitude);
                 
                 if (prediction && typeof prediction.prediction === 'number') {
-                    // Use AI prediction, but ensure it's in a reasonable range (1-10)
-                    const aiMagnitude = Math.max(1, Math.min(10, Math.round(prediction.prediction)));
+                    // Scale the roadcast API prediction to a reasonable range for visualization
+                    // Roadcast returns values like 47, so we'll scale them to 1-10 range
+                    let scaledMagnitude = prediction.prediction;
+                    
+                    // If the value seems to be in the roadcast range (typically 0-100), scale it down
+                    if (prediction.prediction > 20) {
+                        scaledMagnitude = Math.max(1, Math.min(10, Math.round(prediction.prediction / 10)));
+                    } else {
+                        scaledMagnitude = Math.max(1, Math.min(10, Math.round(prediction.prediction)));
+                    }
+                    
+                    console.log(`🎯 Scaled magnitude from ${prediction.prediction} to ${scaledMagnitude}`);
                     
                     enhancedFeatures[featureIndex] = {
                         ...enhancedFeatures[featureIndex],
                         properties: {
                             ...enhancedFeatures[featureIndex].properties,
-                            mag: aiMagnitude,
+                            mag: scaledMagnitude,
                             aiPredicted: true
                         }
                     };
@@ -233,7 +243,13 @@ export const generateDCPointsWithAI = async (count = 500) => {
         let aiPredicted = false;
         
         if (prediction && typeof prediction.prediction === 'number') {
-            mag = Math.max(1, Math.min(10, Math.round(prediction.prediction)));
+            // Scale the roadcast API prediction to a reasonable range for visualization
+            if (prediction.prediction > 20) {
+                mag = Math.max(1, Math.min(10, Math.round(prediction.prediction / 10)));
+            } else {
+                mag = Math.max(1, Math.min(10, Math.round(prediction.prediction)));
+            }
+            console.log(`🎯 Synthetic point scaled magnitude from ${prediction.prediction} to ${mag}`);
             aiPredicted = true;
         } else {
             mag = Math.round(Math.max(1, Math.abs(randNormal()) * 6));

web/src/app/page.tsx

@@ -18,7 +18,7 @@ export default function Home() {
 	const [heatRadius, setHeatRadius] = useState(16);
 	const [heatIntensity, setHeatIntensity] = useState(1);
 	const [gradientRoutes, setGradientRoutes] = useState(true);
-	const [useAIMagnitudes, setUseAIMagnitudes] = useState(false); // Default to false to avoid API issues
+	const [useAIMagnitudes, setUseAIMagnitudes] = useState(true); // Default to true since roadcast API is reliable
 
 	const [popup, setPopup] = useState<PopupData>(null);
 	const [popupVisible, setPopupVisible] = useState(false);

web/src/lib/crashMagnitudeApi.ts

@@ -1,5 +1,5 @@
 /**
- * API service for crash magnitude prediction using AI model from ai.sirblob.co
+ * API service for crash magnitude prediction using roadcast model
  */
 
 export interface CrashMagnitudePrediction {
@@ -28,7 +28,8 @@ export interface CrashMagnitudeResponse {
 }
 
 /**
- * Get crash magnitude prediction from AI model
+ * Get crash magnitude prediction from roadcast API
+ * Simplified version that always tries to get the prediction
  */
 export async function getCrashMagnitudePrediction(
   sourceLat: number,
@@ -36,11 +37,6 @@ export async function getCrashMagnitudePrediction(
   destLat: number,
   destLon: number
 ): Promise<CrashMagnitudePrediction | null> {
-  // Check circuit breaker first
-  if (isCircuitBreakerOpen()) {
-    console.log('⏸️ AI API circuit breaker is open, skipping API call');
-    return null;
-  }
 
   try {
     const requestBody: CrashMagnitudeRequest = {
@@ -54,7 +50,7 @@ export async function getCrashMagnitudePrediction(
       }
     };
 
-    console.log('🔮 Requesting crash magnitude prediction:', requestBody);
+    console.log('<EFBFBD> Requesting crash magnitude from roadcast API:', requestBody);
 
     // Create fetch options with timeout
     const fetchOptions: RequestInit = {
@@ -76,38 +72,36 @@ export async function getCrashMagnitudePrediction(
       console.log('⚠️ AbortSignal.timeout not supported, continuing without timeout');
     }
 
-    const response = await fetch('http://localhost:5001/predict', fetchOptions);
+    const response = await fetch('http://localhost:5000/predict', fetchOptions);
 
     if (!response.ok) {
-      console.error('❌ Crash magnitude API error:', response.status, response.statusText);
-      recordCircuitBreakerFailure();
+      console.error('❌ Roadcast API error:', response.status, response.statusText);
       return null;
     }
 
     const data: CrashMagnitudeResponse = await response.json();
-    console.log('✅ Crash magnitude prediction received:', data);
+    console.log('✅ Roadcast magnitude prediction received:', data);
     
-    // Record successful call
-    recordCircuitBreakerSuccess();
-
-    // Handle different response formats from the API
-    if (data.prediction && typeof data.prediction === 'object' && data.prediction.prediction !== undefined) {
-      // Response format: { prediction: { prediction: number } }
+    // Handle roadcast API response format
+    // The roadcast API returns the magnitude in the 'index' field
+    if (data.index !== undefined) {
+      console.log('🎯 Using roadcast index as crash magnitude:', data.index);
+      return { 
+        prediction: data.index, 
+        confidence: 0.95 // High confidence for roadcast model
+      };
+    } else if (data.prediction && typeof data.prediction === 'object' && data.prediction.prediction !== undefined) {
+      // Fallback: Response format: { prediction: { prediction: number } }
       return data.prediction;
     } else if (typeof data.prediction === 'number') {
-      // Response format: { prediction: number }
+      // Fallback: Response format: { prediction: number }
       return { prediction: data.prediction };
-    } else if (data.index !== undefined) {
-      // If prediction is empty but we have an index, use index as fallback prediction
-      console.log('🔄 Using index as fallback prediction:', data.index);
-      return { prediction: data.index, confidence: 0.5 }; // Lower confidence for fallback
     }
 
-    console.warn('⚠️ Unexpected response format from crash magnitude API:', data);
+    console.warn('⚠️ No usable magnitude data in roadcast API response:', data);
     return null;
 
   } catch (error) {
-    recordCircuitBreakerFailure();
     
     if (error instanceof Error) {
       if (error.name === 'AbortError') {
@@ -164,41 +158,20 @@ const magnitudeCache = new Map<string, { prediction: CrashMagnitudePrediction; t
 const CACHE_DURATION = 5 * 60 * 1000; // 5 minutes
 
 /**
- * Circuit breaker to avoid repeated failed API calls
+ * Status tracking for roadcast API (simplified - always available)
  */
-let circuitBreakerFailures = 0;
-let circuitBreakerLastFailTime = 0;
-const CIRCUIT_BREAKER_THRESHOLD = 3;
-const CIRCUIT_BREAKER_TIMEOUT = 60000; // 1 minute
-const CIRCUIT_BREAKER_RESET_TIME = 300000; // 5 minutes
 
 function isCircuitBreakerOpen(): boolean {
-  const now = Date.now();
-  
-  // Reset circuit breaker after reset time
-  if (now - circuitBreakerLastFailTime > CIRCUIT_BREAKER_RESET_TIME) {
-    circuitBreakerFailures = 0;
-    return false;
-  }
-  
-  // Circuit is open if we have too many failures
-  return circuitBreakerFailures >= CIRCUIT_BREAKER_THRESHOLD;
+  // Roadcast API is local and reliable, always return false
+  return false;
 }
 
 function recordCircuitBreakerFailure(): void {
-  circuitBreakerFailures++;
-  circuitBreakerLastFailTime = Date.now();
-  
-  if (circuitBreakerFailures === CIRCUIT_BREAKER_THRESHOLD) {
-    console.warn(`🔌 AI API circuit breaker opened after ${CIRCUIT_BREAKER_THRESHOLD} failures. Will retry in ${CIRCUIT_BREAKER_RESET_TIME / 1000}s`);
-  }
+  // Not needed for local roadcast API, but kept for compatibility
 }
 
 function recordCircuitBreakerSuccess(): void {
-  if (circuitBreakerFailures > 0) {
-    console.log('✅ AI API circuit breaker reset after successful request');
-    circuitBreakerFailures = 0;
-  }
+  // Not needed for local roadcast API, but kept for compatibility
 }
 
 function getCacheKey(lat: number, lon: number): string {
@@ -233,13 +206,50 @@ export async function getCachedCrashMagnitude(
 }
 
 /**
- * Get current status of the AI API circuit breaker
+ * Get current status of the roadcast API by testing connection
  */
-export function getCircuitBreakerStatus(): { isOpen: boolean; failures: number; resetTime?: number } {
-  const isOpen = isCircuitBreakerOpen();
-  return {
-    isOpen,
-    failures: circuitBreakerFailures,
-    resetTime: isOpen ? circuitBreakerLastFailTime + CIRCUIT_BREAKER_RESET_TIME : undefined
-  };
+export async function getCircuitBreakerStatus(): Promise<{ isOpen: boolean; failures: number; resetTime?: number }> {
+  try {
+    // Test the roadcast API with a simple request
+    const controller = new AbortController();
+    const timeoutId = setTimeout(() => controller.abort(), 3000); // 3 second timeout
+    
+    const response = await fetch('http://localhost:5000/predict', {
+      method: 'POST',
+      headers: {
+        'Content-Type': 'application/json',
+      },
+      body: JSON.stringify({
+        source: { lat: 38.9, lon: -77.0 },
+        destination: { lat: 38.91, lon: -77.01 }
+      }),
+      signal: controller.signal
+    });
+    
+    clearTimeout(timeoutId);
+    
+    if (response.ok) {
+      const data = await response.json();
+      console.log('🟢 Roadcast API status check successful:', data.index);
+      return {
+        isOpen: false,  // API is available
+        failures: 0,
+        resetTime: undefined
+      };
+    } else {
+      console.log('🔴 Roadcast API status check failed:', response.status);
+      return {
+        isOpen: true,   // API returned error
+        failures: 1,
+        resetTime: undefined
+      };
+    }
+  } catch (error) {
+    console.log('🔌 Roadcast API unavailable:', error);
+    return {
+      isOpen: true,   // API is unavailable
+      failures: 1,
+      resetTime: undefined
+    };
+  }
 }