Added National Salary data

backend/server2.js

@@ -22,12 +22,6 @@ const envPath = path.resolve(rootPath, `.env.${env}`); // Use root directory for
 // Load environment variables as soon as the server starts
 dotenv.config({ path: envPath });  // Ensure this is called at the very top to load all environment variables
 
-// Logging environment variables for debugging
-console.log(`Loaded environment variables from: ${envPath}`);
-console.log('ONET_USERNAME:', process.env.ONET_USERNAME);
-console.log('ONET_PASSWORD:', process.env.ONET_PASSWORD);
-console.log('Google Maps API Key:', process.env.GOOGLE_MAPS_API_KEY);
-
 
 const allowedOrigins = ['http://localhost:3000', 'http://34.16.120.118:3000', 'https://dev1.aptivaai.com'];
 const mappingFilePath = '/home/jcoakley/aptiva-dev1-app/public/CIP_to_ONET_SOC.xlsx';
@@ -124,7 +118,6 @@ app.use(express.json());
 app.use(express.static(path.join(__dirname, 'public')));
 
 app.use((req, res, next) => {
-  console.log(`Path: ${req.path}, Method: ${req.method}, Body:`, req.body);
   next();
 });
 
@@ -153,7 +146,6 @@ app.get('/api/onet/questions', async (req, res) => {
           },
         }
       );
-      console.log('O*Net Response:', response.data);
 
       // Add questions to the result set
       if (response.data.question && Array.isArray(response.data.question)) {
@@ -185,11 +177,10 @@ const geocodeZipCode = async (zipCode) => {
   if (!apiKey) {
     console.error('Google Maps API Key is missing.');
   } else {
-    console.log('Google Maps API Key loaded:', apiKey);
+
   }
   try {
     const geocodeUrl = `https://maps.googleapis.com/maps/api/geocode/json?address=${encodeURIComponent(zipCode)}&components=country:US&key=${apiKey}`;
-    console.log('Constructed Geocode URL:', geocodeUrl);  // Log the geocoding URL for debugging
 
     const response = await axios.get(geocodeUrl);
 
@@ -225,12 +216,9 @@ app.post('/api/maps/distance', async (req, res) => {
 
     const origins = `${userLocation.lat},${userLocation.lng}`;  // User's location as lat/lng
 
-    console.log('Request Payload:', { userZipcode, destinations });  // Log the parameters
-
     // Call the Distance Matrix API using the geocoded user location and school address
     const distanceUrl = `https://maps.googleapis.com/maps/api/distancematrix/json?origins=${origins}&destinations=${encodeURIComponent(destinations)}&units=imperial&key=${googleMapsApiKey}`;
     const distanceResponse = await axios.get(distanceUrl);
-    console.log('Distance API Request URL:', distanceUrl); // Log the final request URL
 
     if (distanceResponse.data.status !== 'OK') {
       return res.status(500).json({ error: 'Error fetching distance from Google Maps API' });
@@ -561,38 +549,57 @@ app.get('/api/salary', async (req, res) => {
 
   console.log('Received /api/salary request:', { socCode, area });
 
-  if (!socCode || !area) {
-    console.error('Missing required parameters:', { socCode, area });
-    return res.status(400).json({ error: 'SOC Code and Area are required' });
+  if (!socCode) {
+    console.error('Missing required parameters:', { socCode });
+    return res.status(400).json({ error: 'SOC Code is required' });
   }
 
-  const query = `
-    SELECT A_PCT10, A_PCT25, A_MEDIAN, A_PCT75, A_PCT90
+  // Query for regional salary data
+  const regionalQuery = `
+    SELECT A_PCT10 AS regional_PCT10, A_PCT25 AS regional_PCT25, 
+           A_MEDIAN AS regional_MEDIAN, A_PCT75 AS regional_PCT75, 
+           A_PCT90 AS regional_PCT90
     FROM salary_data
     WHERE OCC_CODE = ? AND AREA_TITLE = ?
   `;
 
+  // Query for national salary data (updated AREA_TITLE = 'U.S.')
+  const nationalQuery = `
+    SELECT A_PCT10 AS national_PCT10, A_PCT25 AS national_PCT25, 
+           A_MEDIAN AS national_MEDIAN, A_PCT75 AS national_PCT75, 
+           A_PCT90 AS national_PCT90
+    FROM salary_data
+    WHERE OCC_CODE = ? AND AREA_TITLE = 'U.S.'
+  `;
+
   try {
-    if (process.env.DEBUG === 'true') {
-      console.log('Executing query:', query, 'with params:', [socCode, area]);
+    let regionalRow = null;
+    let nationalRow = null;
+
+    if (area) {
+      regionalRow = await db.get(regionalQuery, [socCode, area]);
     }
+    nationalRow = await db.get(nationalQuery, [socCode]);
 
-    // Use async/await for better error handling
-    const row = await db.get(query, [socCode, area]);
-
-    if (!row) {
+    if (!regionalRow && !nationalRow) {
       console.log('No salary data found for:', { socCode, area });
-      return res.status(404).json({ error: 'No salary data found for the given SOC Code and Area' });
+      return res.status(404).json({ error: 'No salary data found for the given SOC Code' });
     }
 
-    console.log('Salary data retrieved:', row);
-    res.json(row);
+    const salaryData = {
+      regional: regionalRow || {},
+      national: nationalRow || {}
+    };
+
+    console.log('Salary data retrieved:', salaryData);
+    res.json(salaryData);
   } catch (error) {
     console.error('Error executing query:', error.message);
     res.status(500).json({ error: 'Failed to fetch salary data' });
   }
 });
 
+
 // Route to fetch job zones and check for missing salary data
 app.post('/api/job-zones', async (req, res) => {
   const { socCodes } = req.body;

src/components/Dashboard.js

@@ -234,13 +234,15 @@ async (career) => {
     }));
 
     // Process Salary Data
-    const salaryDataPoints = salaryResponse.data && Object.keys(salaryResponse.data).length > 0 ? [
-      { percentile: '10th Percentile', value: salaryResponse.data.A_PCT10 || 0 },
-      { percentile: '25th Percentile', value: salaryResponse.data.A_PCT25 || 0 },
-      { percentile: 'Median', value: salaryResponse.data.A_MEDIAN || 0 },
-      { percentile: '75th Percentile', value: salaryResponse.data.A_PCT75 || 0 },
-      { percentile: '90th Percentile', value: salaryResponse.data.A_PCT90 || 0 },
-    ] : [];
+    const salaryDataPoints = salaryResponse.data && Object.keys(salaryResponse.data).length > 0
+  ? [
+      { percentile: "10th Percentile", regionalSalary: parseInt(salaryResponse.data.regional?.regional_PCT10, 10) || 0, nationalSalary: parseInt(salaryResponse.data.national?.national_PCT10, 10) || 0 },
+      { percentile: "25th Percentile", regionalSalary: parseInt(salaryResponse.data.regional?.regional_PCT25, 10) || 0, nationalSalary: parseInt(salaryResponse.data.national?.national_PCT25, 10) || 0 },
+      { percentile: "Median", regionalSalary: parseInt(salaryResponse.data.regional?.regional_MEDIAN, 10) || 0, nationalSalary: parseInt(salaryResponse.data.national?.national_MEDIAN, 10) || 0 },
+      { percentile: "75th Percentile", regionalSalary: parseInt(salaryResponse.data.regional?.regional_PCT75, 10) || 0, nationalSalary: parseInt(salaryResponse.data.national?.national_PCT75, 10) || 0 },
+      { percentile: "90th Percentile", regionalSalary: parseInt(salaryResponse.data.regional?.regional_PCT90, 10) || 0, nationalSalary: parseInt(salaryResponse.data.national?.national_PCT90, 10) || 0 },
+    ]
+  : [];
 
     setCareerDetails({
       ...career,

src/components/PopoutPanel.js

@@ -105,14 +105,16 @@ function PopoutPanel({
             <thead>
               <tr>
                 <th>Percentile</th>
-                <th>Salary</th>
+                <th>Regional Salary</th>
+                <th>US Salary</th>
               </tr>
             </thead>
             <tbody>
               {salaryData.map((point, index) => (
                 <tr key={index}>
                   <td>{point.percentile}</td>
-                  <td>{point.value > 0 ? `$${parseInt(point.value, 10).toLocaleString()}` : 'N/A'}</td>
+                  <td>{point.regionalSalary > 0 ? `$${parseInt(point.regionalSalary, 10).toLocaleString()}` : 'N/A'}</td>
+                  <td>{point.nationalSalary > 0 ? `$${parseInt(point.nationalSalary, 10).toLocaleString()}` : 'N/A'}</td>
                 </tr>
               ))}
             </tbody>