Added interest rate to Retirement Savings.

This commit is contained in:
Josh 2025-05-29 14:53:42 +00:00
parent 1e84c8b38a
commit 29bdb17321
2 changed files with 106 additions and 107 deletions

View File

@ -268,6 +268,11 @@ export default function MilestoneTracker({ selectedCareer: initialCareer }) {
const location = useLocation();
const apiURL = process.env.REACT_APP_API_URL;
const [interestStrategy, setInterestStrategy] = useState('NONE'); // 'NONE' | 'FLAT' | 'MONTE_CARLO'
const [flatAnnualRate, setFlatAnnualRate] = useState(0.06); // 6% default
const [randomRangeMin, setRandomRangeMin] = useState(-0.03); // -3% monthly
const [randomRangeMax, setRandomRangeMax] = useState(0.08); // 8% monthly
// Basic states
const [userProfile, setUserProfile] = useState(null);
const [financialProfile, setFinancialProfile] = useState(null);
@ -276,9 +281,6 @@ export default function MilestoneTracker({ selectedCareer: initialCareer }) {
const [selectedCareer, setSelectedCareer] = useState(initialCareer || null);
const [careerProfileId, setCareerProfileId] = useState(null);
const [scenarioRow, setScenarioRow] = useState(null);
const [aiRisk, setAiRisk] = useState(null);
const [aiRiskLoading, setAiRiskLoading] = useState(false);
const [aiRiskError, setAiRiskError] = useState(null);
const [collegeProfile, setCollegeProfile] = useState(null);
const [strippedSocCode, setStrippedSocCode] = useState(null);
@ -458,81 +460,6 @@ export default function MilestoneTracker({ selectedCareer: initialCareer }) {
setStrippedSocCode(stripSocCode(found.soc_code));
}, [scenarioRow, masterCareerRatings]);
useEffect(() => {
// If we have no SOC code or scenarioRow is missing, reset
if (!strippedSocCode || !scenarioRow?.career_name) {
setAiRisk(null);
return;
}
async function fetchAiRisk() {
setAiRiskLoading(true);
setAiRiskError(null);
try {
// 1) Attempt local DB first
const localRes = await fetch(`${apiURL}/ai-risk/${strippedSocCode}`);
if (localRes.ok) {
const localData = await localRes.json();
setAiRisk(localData);
} else if (localRes.status === 404) {
// 2) If not found => call GPT route
// We'll pass minimal data if we don't have job description or tasks
const chatPayload = {
socCode: strippedSocCode,
careerName: scenarioRow.career_name,
jobDescription: '', // or optionally fetch from O*NET / tasks
tasks: []
};
// POST to your server3 public route
const gptRes = await fetch(`${apiURL}/public/ai-risk-analysis`, {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify(chatPayload),
});
if (!gptRes.ok) {
throw new Error('GPT call failed');
}
const gptData = await gptRes.json();
// 3) Store in server2 so we skip GPT next time
await fetch(`${apiURL}/ai-risk`, {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({
socCode: strippedSocCode,
careerName: gptData.careerName,
jobDescription: gptData.jobDescription,
tasks: gptData.tasks,
riskLevel: gptData.riskLevel,
reasoning: gptData.reasoning,
})
});
// 4) Set it in state
setAiRisk({
socCode: strippedSocCode,
careerName: scenarioRow.career_name,
riskLevel: gptData.riskLevel,
reasoning: gptData.reasoning
});
} else {
// Some other error code
throw new Error(`AI Risk fetch error: ${localRes.status}`);
}
} catch (err) {
console.error('Error fetching AI risk =>', err);
setAiRiskError('Failed to load AI risk data.');
setAiRisk(null);
} finally {
setAiRiskLoading(false);
}
}
fetchAiRisk();
}, [strippedSocCode, scenarioRow?.career_name, apiURL]);
// 6) Salary
useEffect(() => {
if (!strippedSocCode) {
@ -717,7 +644,13 @@ export default function MilestoneTracker({ selectedCareer: initialCareer }) {
startDate: new Date().toISOString(),
simulationYears,
milestoneImpacts: allImpacts
milestoneImpacts: allImpacts,
interestStrategy,
flatAnnualRate,
monthlyReturnSamples: [], // or keep an array if you have historical data
randomRangeMin,
randomRangeMax
};
const { projectionData: pData, loanPaidOffMonth } =
@ -739,7 +672,7 @@ export default function MilestoneTracker({ selectedCareer: initialCareer }) {
useEffect(() => {
if (!financialProfile || !scenarioRow || !collegeProfile) return;
buildProjection();
}, [financialProfile, scenarioRow, collegeProfile, careerProfileId, apiURL, simulationYears]);
}, [financialProfile, scenarioRow, collegeProfile, careerProfileId, apiURL, simulationYears, interestStrategy, flatAnnualRate, randomRangeMin, randomRangeMax]);
// Build chart datasets / annotations
const milestoneAnnotationLines = {};
@ -965,34 +898,18 @@ if (aiLoading || clickCount >= DAILY_CLICK_LIMIT) {
<h2 className="text-2xl font-bold mb-4">Where Am I Now?</h2>
{/* 1) Career */}
<div className="bg-white p-4 rounded shadow mb-4 flex flex-col justify-center items-center min-h-[80px]">
<div className="bg-white p-4 rounded shadow mb-4 flex flex-col justify-center items-center min-h-[80px]">
<p>
<strong>Current Career:</strong>{' '}
{scenarioRow?.career_name || '(Select a career)'}
</p>
{yearsInCareer && (
<p>
<strong>Current Career:</strong>{' '}
{scenarioRow?.career_name || '(Select a career)'}
<strong>Time in this career:</strong> {yearsInCareer}{' '}
{yearsInCareer === '<1' ? 'year' : 'years'}
</p>
{yearsInCareer && (
<p>
<strong>Time in this career:</strong> {yearsInCareer}{' '}
{yearsInCareer === '<1' ? 'year' : 'years'}
</p>
)}
<div className="mt-2">
{aiRiskLoading ? (
<p className="text-sm text-gray-500">Loading AI risk...</p>
) : aiRiskError ? (
<p className="text-sm text-red-500">{aiRiskError}</p>
) : aiRisk ? (
<div className="text-sm text-gray-700">
<strong>AI Risk Level:</strong> {aiRisk.riskLevel}
<br />
<em>{aiRisk.reasoning}</em>
</div>
) : (
<p className="text-sm text-gray-500">No AI risk data available</p>
)}
</div>
</div>
)}
</div>
{/* 2) Salary Benchmarks */}
<div className="flex flex-col md:flex-row gap-4">
@ -1151,6 +1068,54 @@ if (aiLoading || clickCount >= DAILY_CLICK_LIMIT) {
authFetch={authFetch}
/>
{/* (E1) Interest Strategy */}
<label className="ml-4 font-medium">Interest Strategy:</label>
<select
value={interestStrategy}
onChange={(e) => setInterestStrategy(e.target.value)}
className="border rounded p-1"
>
<option value="NONE">No Interest</option>
<option value="FLAT">Flat Rate</option>
<option value="MONTE_CARLO">Monte Carlo</option>
</select>
{/* (E2) If FLAT => show the annual rate */}
{interestStrategy === 'FLAT' && (
<div className="inline-block ml-4">
<label className="mr-1">Annual Rate (%):</label>
<input
type="number"
step="0.01"
value={flatAnnualRate}
onChange={(e) => setFlatAnnualRate(parseFloatOrZero(e.target.value, 0.06))}
className="border rounded p-1 w-20"
/>
</div>
)}
{/* (E3) If MONTE_CARLO => show the random range */}
{interestStrategy === 'MONTE_CARLO' && (
<div className="inline-block ml-4">
<label className="mr-1">Min Return (%):</label>
<input
type="number"
step="0.01"
value={randomRangeMin}
onChange={(e) => setRandomRangeMin(parseFloatOrZero(e.target.value, -0.03))}
className="border rounded p-1 w-20 mr-2"
/>
<label className="mr-1">Max Return (%):</label>
<input
type="number"
step="0.01"
value={randomRangeMax}
onChange={(e) => setRandomRangeMax(parseFloatOrZero(e.target.value, 0.08))}
className="border rounded p-1 w-20"
/>
</div>
)}
{/* 7) AI Next Steps */}
<div className="bg-white p-4 rounded shadow mt-4">
<Button onClick={handleAiClick} disabled={aiLoading || clickCount >= DAILY_CLICK_LIMIT}>

View File

@ -137,10 +137,40 @@ export function simulateFinancialProjection(userProfile) {
milestoneImpacts = [],
// Simulation duration
simulationYears = 20
simulationYears = 20,
interestStrategy = 'NONE', // 'NONE' | 'FLAT' | 'MONTE_CARLO'
flatAnnualRate = 0.06, // 6% default if using FLAT
monthlyReturnSamples = [], // if using historical-based random sampling
randomRangeMin = -0.03, // if using a random range approach
randomRangeMax = 0.08,
} = userProfile;
/***************************************************
* HELPER: Retirement Interest Rate
***************************************************/
function getMonthlyInterestRate() {
// e.g. a switch or if-else:
if (interestStrategy === 'NONE') {
return 0;
} else if (interestStrategy === 'FLAT') {
// e.g. 6% annual => 0.5% per month
return flatAnnualRate / 12;
} else if (interestStrategy === 'MONTE_CARLO') {
// if using a random range or historical sample
if (monthlyReturnSamples.length > 0) {
const idx = Math.floor(Math.random() * monthlyReturnSamples.length);
return monthlyReturnSamples[idx]; // already monthly
} else {
const range = randomRangeMax - randomRangeMin;
return randomRangeMin + (Math.random() * range);
}
}
return 0; // fallback
}
/***************************************************
* 2) CLAMP THE SCENARIO START TO MONTH-BEGIN
***************************************************/
@ -401,6 +431,10 @@ export function simulateFinancialProjection(userProfile) {
currentRetirementSavings += retPortion;
}
const monthlyReturnRate = getMonthlyInterestRate();
if (monthlyReturnRate !== 0) {
currentRetirementSavings *= (1 + monthlyReturnRate);
}
const netSavings = netMonthlyIncome - actualExpensesPaid;
// (UPDATED) add inCollege, stillInCollege, loanDeferralUntilGraduation to the result