Upgrade: EQ scoring, real-time coaching, detailed performance reports

backend/services/ai.js.bak

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+const GROQ_API_KEY = process.env.GROQ_API_KEY;
+const OLLAMA_URL = process.env.OLLAMA_URL || 'http://localhost:11434';
+const GROQ_MODEL = process.env.GROQ_MODEL || 'llama-3.3-70b-versatile';
+const OLLAMA_MODEL = process.env.OLLAMA_MODEL || 'llama3.2:3b';
+
+async function callAI(prompt) {
+  if (GROQ_API_KEY) {
+    const res = await fetch('https://api.groq.com/openai/v1/chat/completions', {
+      method: 'POST',
+      headers: { 'Content-Type': 'application/json', 'Authorization': `Bearer ${GROQ_API_KEY}` },
+      body: JSON.stringify({ model: GROQ_MODEL, messages: [{ role: 'user', content: prompt }], temperature: 0.7 }),
+    });
+    if (res.ok) { const data = await res.json(); return data.choices[0].message.content; }
+    console.warn('Groq failed, falling back to Ollama...');
+  }
+  const res = await fetch(`${OLLAMA_URL}/api/generate`, {
+    method: 'POST',
+    headers: { 'Content-Type': 'application/json' },
+    body: JSON.stringify({ model: OLLAMA_MODEL, prompt, stream: false }),
+  });
+  if (!res.ok) throw new Error('Both Groq and Ollama failed.');
+  return (await res.json()).response;
+}
+
+function parseJSON(text) {
+  try { return JSON.parse(text.trim()); }
+  catch { const m = text.match(/\{[\s\S]*\}/); if (m) return JSON.parse(m[0]); throw new Error('Failed to parse AI response'); }
+}
+
+async function startNegotiation(role, company, currentSalary, targetSalary, difficulty) {
+  const diffStyle = { easy: 'Be somewhat flexible, offer small pushback', medium: 'Be professional but firm, use standard negotiation tactics', hard: 'Be very tough, use aggressive tactics like anchoring low, creating urgency, questioning worth' };
+  const text = await callAI(`You are a hiring manager at ${company || 'a tech company'} interviewing a candidate for a ${role} position.
+DIFFICULTY: ${difficulty} - ${diffStyle[difficulty] || diffStyle.medium}
+
+The candidate's current salary is $${currentSalary || 'unknown'} and they want $${targetSalary}.
+Your initial budget is $${Math.round(targetSalary * 0.85)} but you can go up to $${Math.round(targetSalary * 0.95)} max.
+
+Start the negotiation. Make an opening statement and initial offer. Return ONLY valid JSON:
+{"hiringManagerName":"<a realistic name>","openingStatement":"<2-3 sentences opening the salary discussion>","initialOffer":${Math.round(targetSalary * 0.82)},"roundNumber":1}
+
+Return ONLY JSON, no markdown.`);
+  return parseJSON(text);
+}
+
+async function negotiationRound(context, candidateResponse) {
+  const text = await callAI(`You are ${context.hiringManagerName}, a hiring manager negotiating salary.
+CONTEXT: Role: ${context.role}, Company: ${context.company}
+DIFFICULTY: ${context.difficulty}
+BUDGET: Your max is $${context.maxBudget}. Current offer: $${context.currentOffer}.
+HISTORY:
+${context.history.map(h => `${h.role}: ${h.text}`).join('\n')}
+
+CANDIDATE JUST SAID: "${candidateResponse}"
+
+Respond as the hiring manager. Use real negotiation tactics. Return ONLY valid JSON:
+{"response":"<your 2-4 sentence response>","newOffer":${context.currentOffer},"tactic":"<name the tactic you used: anchoring|urgency|questioning|concession|silence|package-deal|final-offer>","isAccepting":false,"isFinalOffer":false}
+
+Adjust newOffer based on the negotiation flow. Only go up incrementally. If candidate is very persuasive, concede a bit more. If weak argument, hold firm.
+Return ONLY JSON, no markdown.`);
+  return parseJSON(text);
+}
+
+async function generateReport(context) {
+  const text = await callAI(`You are a negotiation coach analyzing a salary negotiation practice session.
+
+ROLE: ${context.role} at ${context.company}
+TARGET: $${context.targetSalary}
+FINAL OFFER: $${context.finalOffer}
+ROUNDS: ${context.rounds}
+
+FULL TRANSCRIPT:
+${context.history.map(h => `${h.role}: ${h.text}`).join('\n')}
+
+Return ONLY valid JSON:
+{
+  "overallScore":<1-100>,
+  "finalSalary":${context.finalOffer},
+  "targetSalary":${context.targetSalary},
+  "percentOfTarget":${Math.round((context.finalOffer / context.targetSalary) * 100)},
+  "verdict":"<Master Negotiator|Strong Negotiator|Decent|Needs Practice|Pushover>",
+  "summary":"<3-4 sentence assessment>",
+  "tacticsUsed":["<tactic the candidate used>"],
+  "missedOpportunities":["<what they could have done better>"],
+  "strengths":["<s1>","<s2>"],
+  "improvements":["<i1>","<i2>","<i3>"],
+  "tips":["<tip1>","<tip2>","<tip3>"]
+}
+Return ONLY JSON.`);
+  return parseJSON(text);
+}
+
+module.exports = { startNegotiation, negotiationRound, generateReport };

frontend/src/App.jsx.new

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+test