#!/usr/bin/env node
/**
* Targeted Demo of Injury Risk Integration
* Tests specific players with mock injury data to demonstrate the feature
*/
import dotenv from "dotenv";
dotenv.config();
import { HuggingFaceService } from "./src/services/huggingface-service.js";
async function demonstrateInjuryRisk() {
console.log('='.repeat(60));
console.log('🏥 Injury Risk Analysis Demo');
console.log('='.repeat(60));
console.log();
const hfService = new HuggingFaceService();
if (!hfService.isAvailable()) {
console.error('❌ HuggingFace API key not configured!');
return;
}
console.log('✅ HuggingFace service initialized');
console.log();
// Demonstrate injury analysis for different scenarios
const scenarios = [
{
player: "Giannis Antetokounmpo",
baseProjection: 63.4,
salary: 11000,
texts: [
"Giannis Antetokounmpo left practice early with knee soreness",
"Milwaukee star questionable for tonight with right knee pain",
],
},
{
player: "LeBron James",
baseProjection: 56.2,
salary: 9500,
texts: [
"LeBron James looking great in practice",
"King James ready for tonight's big matchup",
],
},
{
player: "Stephen Curry",
baseProjection: 48.5,
salary: 9300,
texts: [
"Curry participated in limited capacity at practice",
"Stephen dealing with minor ankle discomfort but expects to play",
],
},
];
for (const scenario of scenarios) {
console.log(`Player: ${scenario.player}`);
console.log(` Base Projection: ${scenario.baseProjection} FP`);
console.log(` Salary: $${scenario.salary}`);
console.log();
console.log(` Analyzing ${scenario.texts.length} text mentions...`);
const injuryRisk = await hfService.analyzeInjurySentiment(
scenario.player,
scenario.texts
);
console.log();
console.log(` 🏥 Injury Risk Analysis:`);
console.log(` Level: ${injuryRisk.level}`);
console.log(` Confidence: ${(injuryRisk.confidence * 100).toFixed(0)}%`);
console.log(` Adjustment: ${(injuryRisk.adjustment * 100).toFixed(0)}%`);
console.log(` Description: ${injuryRisk.description}`);
if (injuryRisk.evidence.length > 0) {
console.log();
console.log(` Evidence:`);
injuryRisk.evidence.forEach((ev, i) => {
console.log(` ${i + 1}. "${ev}"`);
});
}
// Calculate adjusted projection
const adjustedProjection = scenario.baseProjection * injuryRisk.adjustment;
const impactPoints = scenario.baseProjection - adjustedProjection;
console.log();
console.log(` 📊 Projection Impact:`);
console.log(` Before: ${scenario.baseProjection.toFixed(1)} FP`);
console.log(` After: ${adjustedProjection.toFixed(1)} FP`);
console.log(` Impact: ${impactPoints > 0 ? '-' : '+'}${Math.abs(impactPoints).toFixed(1)} FP`);
// Show SHAP factor representation
if (injuryRisk.level !== 'LOW') {
console.log();
console.log(` 🧠 SHAP Factor:`);
console.log(` {`);
console.log(` factor: "injury_risk",`);
console.log(` impact: ${-impactPoints.toFixed(1)},`);
console.log(` description: "${injuryRisk.description} (${(injuryRisk.confidence * 100).toFixed(0)}% confidence)"`);
console.log(` }`);
}
console.log();
console.log('-'.repeat(60));
console.log();
}
console.log('='.repeat(60));
console.log('✅ Demo Complete!');
console.log('='.repeat(60));
console.log();
console.log('Key Takeaways:');
console.log(' ✅ HuggingFace sentiment analysis detects injury concerns');
console.log(' ✅ Projections are adjusted based on risk level:');
console.log(' - HIGH: 70% (30% reduction)');
console.log(' - MEDIUM: 85% (15% reduction)');
console.log(' - LOW: 95% (5% reduction)');
console.log(' ✅ SHAP explanations show injury factors with evidence');
console.log(' ✅ Users understand WHY projections are adjusted');
console.log();
console.log('Integration Status:');
console.log(' ✅ HuggingFace service created');
console.log(' ✅ Injury sentiment analysis working');
console.log(' ✅ Integrated into player projections');
console.log(' ✅ SHAP explanations include injury factors');
console.log();
console.log('Next Steps:');
console.log(' 1. Replace mock injury data with real news API');
console.log(' 2. Test with larger player sample');
console.log(' 3. Deploy to Apify as v1.2');
console.log(' 4. Update README with new AI features');
console.log();
}
demonstrateInjuryRisk().catch(console.error);
