Added AI Risk to MilestoneTracker.js
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@ -276,6 +276,9 @@ export default function MilestoneTracker({ selectedCareer: initialCareer }) {
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const [selectedCareer, setSelectedCareer] = useState(initialCareer || null);
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const [careerProfileId, setCareerProfileId] = useState(null);
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const [scenarioRow, setScenarioRow] = useState(null);
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const [aiRisk, setAiRisk] = useState(null);
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const [aiRiskLoading, setAiRiskLoading] = useState(false);
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const [aiRiskError, setAiRiskError] = useState(null);
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const [collegeProfile, setCollegeProfile] = useState(null);
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const [strippedSocCode, setStrippedSocCode] = useState(null);
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@ -455,6 +458,81 @@ export default function MilestoneTracker({ selectedCareer: initialCareer }) {
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setStrippedSocCode(stripSocCode(found.soc_code));
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}, [scenarioRow, masterCareerRatings]);
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useEffect(() => {
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// If we have no SOC code or scenarioRow is missing, reset
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if (!strippedSocCode || !scenarioRow?.career_name) {
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setAiRisk(null);
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return;
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}
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async function fetchAiRisk() {
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setAiRiskLoading(true);
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setAiRiskError(null);
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try {
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// 1) Attempt local DB first
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const localRes = await fetch(`${apiURL}/ai-risk/${strippedSocCode}`);
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if (localRes.ok) {
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const localData = await localRes.json();
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setAiRisk(localData);
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} else if (localRes.status === 404) {
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// 2) If not found => call GPT route
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// We'll pass minimal data if we don't have job description or tasks
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const chatPayload = {
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socCode: strippedSocCode,
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careerName: scenarioRow.career_name,
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jobDescription: '', // or optionally fetch from O*NET / tasks
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tasks: []
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};
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// POST to your server3 public route
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const gptRes = await fetch(`${apiURL}/public/ai-risk-analysis`, {
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method: 'POST',
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headers: { 'Content-Type': 'application/json' },
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body: JSON.stringify(chatPayload),
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});
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if (!gptRes.ok) {
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throw new Error('GPT call failed');
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}
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const gptData = await gptRes.json();
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// 3) Store in server2 so we skip GPT next time
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await fetch(`${apiURL}/ai-risk`, {
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method: 'POST',
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headers: { 'Content-Type': 'application/json' },
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body: JSON.stringify({
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socCode: strippedSocCode,
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careerName: gptData.careerName,
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jobDescription: gptData.jobDescription,
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tasks: gptData.tasks,
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riskLevel: gptData.riskLevel,
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reasoning: gptData.reasoning,
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})
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});
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// 4) Set it in state
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setAiRisk({
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socCode: strippedSocCode,
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careerName: scenarioRow.career_name,
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riskLevel: gptData.riskLevel,
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reasoning: gptData.reasoning
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});
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} else {
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// Some other error code
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throw new Error(`AI Risk fetch error: ${localRes.status}`);
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}
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} catch (err) {
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console.error('Error fetching AI risk =>', err);
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setAiRiskError('Failed to load AI risk data.');
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setAiRisk(null);
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} finally {
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setAiRiskLoading(false);
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}
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}
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fetchAiRisk();
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}, [strippedSocCode, scenarioRow?.career_name, apiURL]);
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// 6) Salary
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useEffect(() => {
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if (!strippedSocCode) {
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@ -898,6 +976,22 @@ if (aiLoading || clickCount >= DAILY_CLICK_LIMIT) {
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{yearsInCareer === '<1' ? 'year' : 'years'}
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</p>
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)}
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<div className="mt-2">
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{aiRiskLoading ? (
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<p className="text-sm text-gray-500">Loading AI risk...</p>
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) : aiRiskError ? (
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<p className="text-sm text-red-500">{aiRiskError}</p>
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) : aiRisk ? (
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<div className="text-sm text-gray-700">
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<strong>AI Risk Level:</strong> {aiRisk.riskLevel}
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<br />
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<em>{aiRisk.reasoning}</em>
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</div>
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) : (
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<p className="text-sm text-gray-500">No AI risk data available</p>
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)}
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</div>
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</div>
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{/* 2) Salary Benchmarks */}
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user_profile.db
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