AI Risk assessment in CareerExplorer implemented
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@ -585,7 +585,7 @@ app.post('/api/premium/milestone/convert-ai', authenticatePremiumUser, async (re
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});
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/***************************************************
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AI CAREER RISK ANALYSIS ENDPOINT
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AI CAREER RISK ANALYSIS ENDPOINTS
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****************************************************/
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// server3.js
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app.post('/api/premium/ai-risk-analysis', authenticatePremiumUser, async (req, res) => {
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@ -671,6 +671,66 @@ app.post('/api/premium/ai-risk-analysis', authenticatePremiumUser, async (req, r
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}
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});
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app.post('/api/public/ai-risk-analysis', async (req, res) => {
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try {
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const {
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socCode,
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careerName,
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jobDescription,
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tasks = []
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} = req.body;
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if (!socCode || !careerName) {
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return res.status(400).json({ error: 'socCode and careerName are required.' });
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}
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const prompt = `
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The user has a career named: ${careerName}
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Description: ${jobDescription}
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Tasks: ${tasks.join('; ')}
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Provide AI automation risk analysis for the next 10 years.
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Return JSON exactly in this format:
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{
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"riskLevel": "Low|Moderate|High",
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"reasoning": "Short explanation (< 50 words)."
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}
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`;
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const openai = new OpenAI({ apiKey: process.env.OPENAI_API_KEY });
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const completion = await openai.chat.completions.create({
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model: 'gpt-3.5-turbo',
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messages: [{ role: 'user', content: prompt }],
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temperature: 0.3,
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max_tokens: 200,
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});
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const aiText = completion?.choices?.[0]?.message?.content?.trim() || '';
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let parsed;
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try {
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parsed = JSON.parse(aiText);
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} catch (err) {
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console.error('Error parsing AI JSON:', err);
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return res.status(500).json({ error: 'Invalid AI JSON response.' });
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}
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const { riskLevel, reasoning } = parsed;
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res.json({
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socCode,
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careerName,
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jobDescription,
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tasks,
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riskLevel,
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reasoning
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});
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} catch (err) {
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console.error('Error in public AI risk analysis:', err);
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res.status(500).json({ error: 'AI risk analysis failed.' });
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}
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});
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/* ------------------------------------------------------------------
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MILESTONE ENDPOINTS
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------------------------------------------------------------------ */
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@ -287,13 +287,15 @@ function CareerExplorer() {
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// ------------------------------------------------------
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const handleCareerClick = useCallback(
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async (career) => {
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console.log('[handleCareerClick] career =>', career);
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console.log('[handleCareerClick] career object:', JSON.stringify(career, null, 2));
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const socCode = career.code;
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setSelectedCareer(career);
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setError(null);
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setCareerDetails(null);
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setSalaryData([]);
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setEconomicProjections({});
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setLoading(true);
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if (!socCode) {
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console.error('SOC Code is missing');
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@ -303,7 +305,7 @@ function CareerExplorer() {
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}
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try {
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// CIP fetch
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// 1) CIP fetch
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const cipResponse = await fetch(`${apiUrl}/cip/${socCode}`);
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if (!cipResponse.ok) {
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setError(
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@ -318,7 +320,7 @@ function CareerExplorer() {
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const { cipCode } = await cipResponse.json();
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const cleanedCipCode = cipCode.replace('.', '').slice(0, 4);
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// Job details
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// 2) Job details (description + tasks)
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const jobDetailsResponse = await fetch(
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`${apiUrl}/onet/career-description/${socCode}`
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);
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@ -331,7 +333,7 @@ function CareerExplorer() {
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}
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const { description, tasks } = await jobDetailsResponse.json();
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// Salary
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// 3) Salary data
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let salaryResponse;
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try {
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salaryResponse = await axios.get(`${apiUrl}/salary`, {
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@ -347,64 +349,34 @@ function CareerExplorer() {
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? [
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{
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percentile: '10th Percentile',
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regionalSalary: parseInt(
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sData.regional?.regional_PCT10,
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10
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) || 0,
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nationalSalary: parseInt(
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sData.national?.national_PCT10,
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10
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) || 0,
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regionalSalary: parseInt(sData.regional?.regional_PCT10, 10) || 0,
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nationalSalary: parseInt(sData.national?.national_PCT10, 10) || 0,
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},
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{
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percentile: '25th Percentile',
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regionalSalary: parseInt(
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sData.regional?.regional_PCT25,
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10
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) || 0,
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nationalSalary: parseInt(
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sData.national?.national_PCT25,
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10
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) || 0,
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regionalSalary: parseInt(sData.regional?.regional_PCT25, 10) || 0,
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nationalSalary: parseInt(sData.national?.national_PCT25, 10) || 0,
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},
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{
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percentile: 'Median',
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regionalSalary: parseInt(
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sData.regional?.regional_MEDIAN,
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10
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) || 0,
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nationalSalary: parseInt(
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sData.national?.national_MEDIAN,
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10
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) || 0,
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regionalSalary: parseInt(sData.regional?.regional_MEDIAN, 10) || 0,
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nationalSalary: parseInt(sData.national?.national_MEDIAN, 10) || 0,
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},
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{
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percentile: '75th Percentile',
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regionalSalary: parseInt(
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sData.regional?.regional_PCT75,
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10
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) || 0,
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nationalSalary: parseInt(
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sData.national?.national_PCT75,
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10
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) || 0,
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regionalSalary: parseInt(sData.regional?.regional_PCT75, 10) || 0,
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nationalSalary: parseInt(sData.national?.national_PCT75, 10) || 0,
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},
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{
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percentile: '90th Percentile',
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regionalSalary: parseInt(
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sData.regional?.regional_PCT90,
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10
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) || 0,
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nationalSalary: parseInt(
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sData.national?.national_PCT90,
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10
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) || 0,
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regionalSalary: parseInt(sData.regional?.regional_PCT90, 10) || 0,
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nationalSalary: parseInt(sData.national?.national_PCT90, 10) || 0,
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},
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]
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: [];
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// Economic
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const fullStateName = getFullStateName(userState);
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// 4) Economic Projections
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const fullStateName = getFullStateName(userState); // your helper
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let economicResponse = { data: {} };
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try {
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economicResponse = await axios.get(
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@ -417,16 +389,71 @@ function CareerExplorer() {
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economicResponse = { data: {} };
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}
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// Build final details
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// ----------------------------------------------------
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// 5) AI RISK ANALYSIS LOGIC
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// Attempt to retrieve from server2 first;
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// if not found => call server3 => store in server2.
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// ----------------------------------------------------
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let aiRisk = null;
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const strippedSoc = socCode.split('.')[0];
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try {
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// Check local DB first (SQLite -> server2)
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const localRiskRes = await axios.get(`${apiUrl}/ai-risk/${strippedSoc}`);
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aiRisk = localRiskRes.data;
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} catch (err) {
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// If 404, we call server3's ChatGPT route at the SAME base url
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if (err.response && err.response.status === 404) {
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try {
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const aiRes = await axios.post(`${apiUrl}/public/ai-risk-analysis`, {
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socCode: strippedSoc,
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careerName: career.title,
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jobDescription: description,
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tasks,
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});
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const { riskLevel, reasoning } = aiRes.data;
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// store it back in server2 to avoid repeated GPT calls
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await axios.post(`${apiUrl}/ai-risk`, {
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socCode: strippedSoc,
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careerName: aiRes.data.careerName,
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jobDescription: aiRes.data.jobDescription,
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tasks: aiRes.data.tasks,
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riskLevel: aiRes.data.riskLevel,
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reasoning: aiRes.data.reasoning,
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});
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// build final object
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aiRisk = {
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socCode: strippedSoc,
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careerName: career.title,
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jobDescription: description,
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tasks,
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riskLevel,
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reasoning,
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};
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} catch (err2) {
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console.error('Error calling server3 or storing AI risk:', err2);
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// fallback
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}
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} else {
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console.error('Error fetching AI risk from server2:', err);
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}
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}
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// 6) Build final details object
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const updatedCareerDetails = {
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...career,
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jobDescription: description,
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tasks,
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salaryData: salaryDataPoints,
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economicProjections: economicResponse.data || {},
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aiRisk, // <--- Now we have it attached
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};
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setCareerDetails(updatedCareerDetails);
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} catch (error) {
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console.error('Error processing career click:', error.message);
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setCareerDetails({
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@ -437,7 +464,7 @@ function CareerExplorer() {
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}
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},
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[userState, apiUrl, areaTitle]
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);
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);
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// ------------------------------------------------------
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// handleCareerFromSearch
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@ -3,37 +3,12 @@ import axios from 'axios';
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const apiUrl = process.env.REACT_APP_API_URL;
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function CareerModal({ career, careerDetails, closeModal, addCareerToList }) {
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const [error, setError] = useState(null);
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const [aiRisk, setAiRisk] = useState(null); // <-- store AI risk data
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const [loadingRisk, setLoadingRisk] = useState(false);
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const aiRisk = careerDetails?.aiRisk || null;
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// Fetch AI risk whenever we have a valid SOC code from `career.code`
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useEffect(() => {
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if (!career?.code) return;
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// e.g. "15-1231.00" => strip down to "15-1231" if needed
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const strippedSoc = career.code.split('.')[0];
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setLoadingRisk(true);
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axios
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.get(`${apiUrl}/ai-risk/${strippedSoc}`)
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.then((res) => {
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setAiRisk(res.data);
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})
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.catch((err) => {
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if (err?.response?.status === 404) {
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// no AI risk data
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setAiRisk(null);
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} else {
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console.error('Error fetching AI risk:', err);
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setError('Failed to load AI risk analysis.');
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}
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})
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.finally(() => {
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setLoadingRisk(false);
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});
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}, [career, apiUrl]);
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console.log('CareerModal props:', { career, careerDetails, aiRisk });
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@ -76,6 +51,7 @@ function CareerModal({ career, careerDetails, closeModal, addCareerToList }) {
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return 1;
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};
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return (
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<div className="fixed inset-0 bg-gray-900 bg-opacity-70 flex justify-center items-center overflow-auto z-50">
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<div className="bg-white rounded-lg shadow-lg w-full max-w-5xl p-6 m-4 max-h-[90vh] overflow-y-auto">
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@ -86,10 +62,11 @@ function CareerModal({ career, careerDetails, closeModal, addCareerToList }) {
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<h2 className="text-2xl font-bold text-blue-600">
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{careerDetails.title}
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</h2>
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{/* AI RISK SECTION */}
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{loadingRisk ? (
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<p className="text-sm text-gray-500 mt-1">Loading AI risk...</p>
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) : aiRisk ? (
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) : aiRisk?.riskLevel && aiRisk?.reasoning ? (
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<div className="text-sm text-gray-500 mt-1">
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<strong>AI Risk Level:</strong> {aiRisk.riskLevel}
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<br />
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BIN
user_profile.db
BIN
user_profile.db
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