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lakshmisravya123 commited on
Commit ·
f88c6fa
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Parent(s): ac717a9
Upgrade: STAR method coaching, ideal answers, follow-up questions, detailed scoring
Browse files- .gitignore +1 -1
- backend/public/assets/index-33lJK7Fm.css +1 -0
- backend/public/assets/index-DabwDG1k.js +0 -0
- backend/public/index.html +14 -0
- backend/routes/interview.js +3 -1
- backend/services/ai.js +90 -12
- frontend/src/components/Interview.jsx +181 -20
- frontend/src/components/Report.jsx +155 -31
- frontend/src/styles/global.css +321 -5
.gitignore
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backend/public/assets/index-33lJK7Fm.css
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*{margin:0;padding:0;box-sizing:border-box}:root{--bg: #0a0a1a;--bg-card: #131332;--bg-card-alt: #1a1a40;--accent: #6c5ce7;--accent-light: #a29bfe;--success: #00b894;--warning: #fdcb6e;--danger: #e17055;--text: #eee;--text-dim: #999;--border: #2d2d5e}body{font-family:-apple-system,BlinkMacSystemFont,Segoe UI,Roboto,sans-serif;background:var(--bg);color:var(--text);min-height:100vh}.app{max-width:860px;margin:0 auto;padding:2rem 1.5rem}.header{text-align:center;margin-bottom:2rem}.header h1{font-size:2.2rem;font-weight:800;background:linear-gradient(135deg,#6c5ce7,#a29bfe,#00b894);-webkit-background-clip:text;-webkit-text-fill-color:transparent;background-clip:text}.header p{color:var(--text-dim);margin-top:.4rem}.setup-card{background:var(--bg-card);border-radius:16px;padding:2rem}.form-group{margin-bottom:1.2rem}.form-group label{display:block;font-size:.85rem;color:var(--text-dim);margin-bottom:.4rem}.form-group input,.form-group select{width:100%;padding:.7rem 1rem;background:var(--bg);border:1px solid var(--border);border-radius:10px;color:var(--text);font-size:1rem}.form-row{display:grid;grid-template-columns:1fr 1fr;gap:1rem}.btn-primary{width:100%;padding:1rem;margin-top:1rem;background:linear-gradient(135deg,#6c5ce7,#a29bfe);border:none;border-radius:12px;color:#fff;font-size:1.1rem;font-weight:700;cursor:pointer;transition:transform .2s}.btn-primary:hover{transform:translateY(-1px)}.btn-primary:disabled{opacity:.5;cursor:not-allowed;transform:none}.progress-bar{display:flex;align-items:center;gap:.8rem;margin-bottom:1.5rem;padding:.8rem 1rem;background:var(--bg-card);border-radius:12px}.progress-track{flex:1;height:8px;background:var(--border);border-radius:4px;overflow:hidden}.progress-fill{height:100%;background:linear-gradient(90deg,#6c5ce7,#00b894);transition:width .5s ease;border-radius:4px}.progress-text{font-size:.85rem;color:var(--text-dim);white-space:nowrap}.question-card{background:var(--bg-card);border-radius:16px;padding:1.5rem;margin-bottom:1.5rem;border-left:4px solid var(--accent)}.question-card .q-label{font-size:.8rem;color:var(--accent-light);text-transform:uppercase;letter-spacing:1px;margin-bottom:.5rem}.question-card .q-text{font-size:1.15rem;line-height:1.5}.question-card .q-hint{margin-top:.8rem;font-size:.85rem;color:var(--text-dim);font-style:italic}.answer-area textarea{width:100%;min-height:150px;padding:1rem;background:var(--bg-card);border:1px solid var(--border);border-radius:12px;color:var(--text);font-size:1rem;resize:vertical;line-height:1.5}.answer-area textarea:focus{outline:none;border-color:var(--accent)}.char-count{text-align:right;font-size:.8rem;color:var(--text-dim);margin-top:.3rem}.eval-card{background:var(--bg-card);border-radius:16px;padding:1.5rem;margin:1rem 0;animation:slideIn .4s ease}@keyframes slideIn{0%{opacity:0;transform:translateY(10px)}to{opacity:1;transform:translateY(0)}}.eval-score{font-size:2rem;font-weight:800;text-align:center;margin-bottom:.5rem}.eval-score.good{color:var(--success)}.eval-score.ok{color:var(--warning)}.eval-score.bad{color:var(--danger)}.eval-feedback{color:var(--text-dim);line-height:1.5;margin-bottom:1rem;text-align:center}.eval-tabs{display:flex;flex-wrap:wrap;gap:.4rem;margin-bottom:1.2rem;border-bottom:1px solid var(--border);padding-bottom:.8rem}.eval-tab{padding:.4rem .8rem;background:transparent;border:1px solid var(--border);border-radius:8px;color:var(--text-dim);cursor:pointer;font-size:.8rem;transition:all .2s}.eval-tab:hover{border-color:var(--accent);color:var(--text)}.eval-tab.active{background:var(--accent);border-color:var(--accent);color:#fff}.eval-tab-content{min-height:100px}.eval-section{margin-top:.8rem}.eval-section h4{font-size:.9rem;margin-bottom:.4rem}.eval-section ul{list-style:none;padding:0}.eval-section li{padding:.3rem 0 .3rem 1.2rem;position:relative;color:var(--text-dim);font-size:.9rem}.eval-section li:before{position:absolute;left:0}.eval-section.strengths li:before{content:"✓";color:var(--success);font-weight:700}.eval-section.improvements li:before{content:"→";color:var(--warning)}.sample-answer{margin-top:1rem;padding:1rem;background:#00b89414;border-radius:8px;border-left:3px solid var(--success)}.sample-answer h4{color:var(--success);margin-bottom:.4rem;font-size:.9rem}.sample-answer p{color:var(--text-dim);font-size:.9rem;line-height:1.5}.star-analysis h4{margin-bottom:.5rem;color:var(--accent-light)}.star-desc{color:var(--text-dim);font-size:.85rem;margin-bottom:1rem}.star-item{padding:.8rem 1rem;margin-bottom:.6rem;border-radius:10px;border-left:4px solid var(--border)}.star-item-present{background:#00b8940f;border-left-color:var(--success)}.star-item-missing{background:#e170550f;border-left-color:var(--danger)}.star-item-header{display:flex;align-items:center;gap:.6rem;margin-bottom:.4rem}.star-item-letter{width:28px;height:28px;display:flex;align-items:center;justify-content:center;background:var(--accent);color:#fff;border-radius:50%;font-weight:800;font-size:.85rem}.star-item-name{font-weight:600;font-size:.95rem}.star-badge{font-size:.7rem;padding:.15rem .5rem;border-radius:10px;font-weight:600;margin-left:auto}.star-present{background:#00b89433;color:var(--success)}.star-missing{background:#e1705533;color:var(--danger)}.star-item-feedback{color:var(--text-dim);font-size:.85rem;line-height:1.5}.detailed-scores h4{margin-bottom:1rem;color:var(--accent-light)}.score-bar-row{display:flex;align-items:center;gap:.8rem;margin-bottom:.7rem}.score-bar-label{width:140px;font-size:.85rem;color:var(--text-dim);flex-shrink:0}.score-bar-track{flex:1;height:8px;background:var(--border);border-radius:4px;overflow:hidden}.score-bar-fill{height:100%;border-radius:4px;transition:width .5s ease}.score-bar-fill.good{background:var(--success)}.score-bar-fill.ok{background:var(--warning)}.score-bar-fill.bad{background:var(--danger)}.score-bar-value{width:40px;text-align:right;font-size:.85rem;font-weight:700;flex-shrink:0}.score-bar-value.good{color:var(--success)}.score-bar-value.ok{color:var(--warning)}.score-bar-value.bad{color:var(--danger)}.language-check h4{color:var(--accent-light);margin-bottom:.5rem}.language-section{margin-bottom:1.2rem}.tag-list{display:flex;flex-wrap:wrap;gap:.4rem;margin:.5rem 0}.tag{padding:.25rem .7rem;border-radius:14px;font-size:.8rem;font-weight:600}.tag-warning{background:#fdcb6e26;color:var(--warning)}.language-tip{color:var(--text-dim);font-size:.82rem;font-style:italic;margin-top:.4rem}.vague-list{list-style:none;padding:0}.vague-list li{padding:.3rem 0}.vague-quote{color:var(--danger);font-style:italic;font-size:.9rem}.language-clean{text-align:center;padding:2rem;color:var(--success)}.clean-icon{font-size:2rem;display:block;margin-bottom:.5rem}.followup-section h4{color:var(--accent-light);margin-bottom:.3rem}.followup-desc{color:var(--text-dim);font-size:.85rem;margin-bottom:1rem}.followup-list{padding-left:1.2rem}.followup-list li{padding:.5rem 0;color:var(--text);font-size:.95rem;line-height:1.5;border-bottom:1px solid rgba(45,45,94,.5)}.followup-list li:last-child{border-bottom:none}.ideal-answer-section h4{color:var(--accent-light);margin-bottom:.3rem}.ideal-desc{color:var(--text-dim);font-size:.85rem;margin-bottom:1rem}.ideal-answer-box{padding:1.2rem;background:#00b8940f;border-left:4px solid var(--success);border-radius:8px}.ideal-answer-box p{color:var(--text-dim);line-height:1.6;font-size:.92rem}.rewrite-section h4{color:var(--accent-light);margin-bottom:.3rem}.rewrite-desc{color:var(--text-dim);font-size:.85rem;margin-bottom:1rem}.rewrite-box{padding:1.2rem;background:#6c5ce714;border-left:4px solid var(--accent);border-radius:8px}.rewrite-box p{color:var(--text-dim);line-height:1.6;font-size:.92rem}.delivery-section h4{color:var(--accent-light);margin-bottom:.8rem}.delivery-list{list-style:none;padding:0}.delivery-list li{padding:.6rem .8rem .6rem 2rem;position:relative;color:var(--text-dim);font-size:.9rem;line-height:1.5;margin-bottom:.4rem;background:#6c5ce70d;border-radius:8px}.delivery-list li:before{content:"▶";position:absolute;left:.8rem;color:var(--accent-light);font-size:.7rem}.report{animation:slideIn .5s ease}.report-header{text-align:center;padding:2rem;background:var(--bg-card);border-radius:16px;margin-bottom:1.5rem}.report-score{font-size:4rem;font-weight:800}.report-score.good{color:var(--success)}.report-score.ok{color:var(--warning)}.report-score.bad{color:var(--danger)}.verdict{display:inline-block;padding:.3rem 1rem;border-radius:20px;font-weight:700;font-size:.9rem;margin-top:.5rem}.verdict.STRONG_HIRE{background:#00b89433;color:var(--success)}.verdict.HIRE{background:#00b89426;color:var(--success)}.verdict.MAYBE{background:#fdcb6e33;color:var(--warning)}.verdict.NO_HIRE{background:#e1705533;color:var(--danger)}.report-tabs{display:flex;flex-wrap:wrap;gap:.4rem;margin-bottom:1.5rem}.report-tab{padding:.5rem 1rem;background:var(--bg-card);border:1px solid var(--border);border-radius:10px;color:var(--text-dim);cursor:pointer;font-size:.85rem;font-weight:500;transition:all .2s}.report-tab:hover{border-color:var(--accent);color:var(--text)}.report-tab.active{background:var(--accent);border-color:var(--accent);color:#fff;font-weight:600}.report-tab-content{min-height:150px}.report-card{background:var(--bg-card);border-radius:16px;padding:1.5rem;margin-bottom:1rem}.report-card h3{margin-bottom:.8rem}.report-card ul{list-style:none;padding:0}.report-card li{padding:.4rem 0 .4rem 1.5rem;position:relative;color:var(--text-dim)}.report-card li:before{position:absolute;left:0}.report-card.strengths li:before{content:"✓";color:var(--success);font-weight:700}.report-card.improve li:before{content:"→";color:var(--warning)}.report-summary{color:var(--text-dim);line-height:1.6;margin-top:.5rem}.readiness{text-align:center;margin-top:.8rem;font-size:1.1rem}.section-desc{color:var(--text-dim);font-size:.85rem;margin-bottom:1rem}.comm-scores{margin-top:.5rem}.pattern-trajectory{display:flex;align-items:center;gap:.8rem;margin-bottom:1.2rem;padding:.8rem 1rem;background:var(--bg);border-radius:10px}.trajectory-label{color:var(--text-dim);font-size:.9rem}.trajectory-value{font-weight:700;font-size:.95rem;padding:.2rem .8rem;border-radius:12px}.trajectory-improving{background:#00b89426;color:var(--success)}.trajectory-stable{background:#fdcb6e26;color:var(--warning)}.trajectory-declining{background:#e1705526;color:var(--danger)}.pattern-section{margin-bottom:1rem}.pattern-section h4{font-size:.9rem;margin-bottom:.4rem;color:var(--text)}.pattern-list{list-style:none;padding:0}.pattern-list li{padding:.35rem 0 .35rem 1.3rem;position:relative;color:var(--text-dim);font-size:.9rem}.pattern-list li:before{position:absolute;left:0}.pattern-strengths li:before{content:"✓";color:var(--success);font-weight:700}.pattern-weaknesses li:before{content:"✗";color:var(--danger)}.action-item{padding:1rem;margin-bottom:.8rem;background:var(--bg);border-radius:10px;border-left:4px solid var(--border)}.action-header{display:flex;align-items:center;gap:.8rem;margin-bottom:.5rem}.priority-badge{font-size:.7rem;padding:.15rem .6rem;border-radius:10px;font-weight:700;letter-spacing:.5px}.priority-high{background:#e1705533;color:var(--danger)}.priority-medium{background:#fdcb6e33;color:var(--warning)}.priority-low{background:#00b89426;color:var(--success)}.action-timeframe{color:var(--text-dim);font-size:.8rem}.action-text{color:var(--text-dim);font-size:.9rem;line-height:1.5}.qa-breakdown-item{padding:1rem 0;border-bottom:1px solid var(--border)}.qa-breakdown-item:last-child{border-bottom:none}.qa-question{font-weight:600;margin-bottom:.3rem;font-size:.95rem}.qa-answer{color:var(--text-dim);font-size:.85rem;margin-bottom:.3rem}.qa-score-line{font-size:.85rem;color:var(--text-dim)}.qa-score{font-weight:700}.qa-score.good{color:var(--success)}.qa-score.ok{color:var(--warning)}.qa-score.bad{color:var(--danger)}.tips-list{list-style:none;padding:0}.tips-list li{padding:.7rem 1rem .7rem 2rem;position:relative;color:var(--text-dim);font-size:.9rem;line-height:1.5;margin-bottom:.4rem;background:#6c5ce70d;border-radius:8px}.tips-list li:before{content:"★";position:absolute;left:.8rem;color:var(--accent-light)}.btn-secondary{display:block;margin:2rem auto 0;padding:.8rem 2rem;background:transparent;border:2px solid var(--accent);border-radius:12px;color:var(--accent);font-size:1rem;cursor:pointer}.btn-secondary:hover{background:var(--accent);color:#fff}.loading{text-align:center;padding:2rem}.spinner{width:40px;height:40px;border:4px solid var(--border);border-top-color:var(--accent);border-radius:50%;animation:spin 1s linear infinite;margin:0 auto 1rem}@keyframes spin{to{transform:rotate(360deg)}}@media(max-width:600px){.form-row{grid-template-columns:1fr}.header h1{font-size:1.6rem}.eval-tabs,.report-tabs{gap:.3rem}.eval-tab,.report-tab{font-size:.72rem;padding:.3rem .5rem}.score-bar-label{width:100px;font-size:.78rem}.star-item-header{flex-wrap:wrap}}
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backend/public/assets/index-DabwDG1k.js
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backend/public/index.html
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<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8" />
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<meta name="viewport" content="width=device-width, initial-scale=1.0" />
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<title>AI Interview Coach</title>
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<link rel="icon" type="image/svg+xml" href="data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 100 100'><text y='.9em' font-size='90'>🎤</text></svg>" />
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<script type="module" crossorigin src="/assets/index-DabwDG1k.js"></script>
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<link rel="stylesheet" crossorigin href="/assets/index-33lJK7Fm.css">
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</head>
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<body>
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<div id="root"></div>
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</body>
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</html>
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backend/routes/interview.js
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@@ -125,7 +125,9 @@ router.get('/report/:sessionId', async (req, res) => {
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question: a.question,
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answer: a.answer,
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score: a.score,
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feedback: a.evaluation.feedback
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})),
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meta: {
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role: session.role,
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question: a.question,
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answer: a.answer,
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score: a.score,
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feedback: a.evaluation.feedback,
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detailedScores: a.evaluation.detailedScores,
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starAnalysis: a.evaluation.starAnalysis
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})),
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meta: {
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role: session.role,
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backend/services/ai.js
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const res = await fetch('https://api.groq.com/openai/v1/chat/completions', {
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method: 'POST',
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headers: { 'Content-Type': 'application/json', 'Authorization': `Bearer ${GROQ_API_KEY}` },
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body: JSON.stringify({ model: GROQ_MODEL, messages: [{ role: 'user', content: prompt }], temperature: 0.7 }),
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});
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if (res.ok) { const data = await res.json(); return data.choices[0].message.content; }
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console.warn('Groq failed, falling back to Ollama...');
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function parseJSON(text) {
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try { return JSON.parse(text.trim()); }
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catch {
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}
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const DIFFICULTY_MAP = {
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}
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async function evaluateAnswer(role, question, answer, difficulty) {
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const text = await callAI(`You are an
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QUESTION: ${question}
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CANDIDATE'S ANSWER: ${answer}
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DIFFICULTY: ${difficulty}
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{"score":<1-10>,"feedback":"<2-3 sentences>","strengths":["<strength>"],"improvements":["<suggestion 1>","<suggestion 2>"],"sampleAnswer":"<strong example answer>"}
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return parseJSON(text);
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}
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async function generateFinalReport(role, questionsAndAnswers) {
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INTERVIEW TRANSCRIPT:
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${qaPairs}
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{"overallScore":<1-100>,"verdict":"<STRONG_HIRE|HIRE|MAYBE|NO_HIRE>","summary":"<3-4 sentences>","topStrengths":["<s1>","<s2>","<s3>"],"areasToImprove":["<a1>","<a2>","<a3>"],"recommendation":"<2-3 sentences>","readinessLevel":"<Not Ready|Getting There|Almost Ready|Interview Ready>"}
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return parseJSON(text);
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}
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const res = await fetch('https://api.groq.com/openai/v1/chat/completions', {
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method: 'POST',
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headers: { 'Content-Type': 'application/json', 'Authorization': `Bearer ${GROQ_API_KEY}` },
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body: JSON.stringify({ model: GROQ_MODEL, messages: [{ role: 'user', content: prompt }], temperature: 0.7, max_tokens: 4096 }),
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});
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if (res.ok) { const data = await res.json(); return data.choices[0].message.content; }
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| 14 |
console.warn('Groq failed, falling back to Ollama...');
|
|
|
|
| 24 |
|
| 25 |
function parseJSON(text) {
|
| 26 |
try { return JSON.parse(text.trim()); }
|
| 27 |
+
catch {
|
| 28 |
+
const m = text.match(/\{[\s\S]*\}/);
|
| 29 |
+
if (m) {
|
| 30 |
+
try { return JSON.parse(m[0]); }
|
| 31 |
+
catch { /* fall through */ }
|
| 32 |
+
}
|
| 33 |
+
throw new Error('Failed to parse AI response');
|
| 34 |
+
}
|
| 35 |
}
|
| 36 |
|
| 37 |
const DIFFICULTY_MAP = {
|
|
|
|
| 58 |
}
|
| 59 |
|
| 60 |
async function evaluateAnswer(role, question, answer, difficulty) {
|
| 61 |
+
const text = await callAI(`You are an elite interview coach who has served on Google's hiring committee and trained thousands of candidates. You evaluate with precision and depth.
|
| 62 |
+
|
| 63 |
+
ROLE: ${role}
|
| 64 |
+
DIFFICULTY: ${difficulty}
|
| 65 |
QUESTION: ${question}
|
| 66 |
CANDIDATE'S ANSWER: ${answer}
|
|
|
|
| 67 |
|
| 68 |
+
Perform a comprehensive evaluation across multiple dimensions:
|
|
|
|
| 69 |
|
| 70 |
+
1. STAR METHOD: Did the candidate use Situation-Task-Action-Result? Identify which elements are present/missing.
|
| 71 |
+
2. CONTENT QUALITY: Evaluate specificity (concrete examples vs vague claims), relevance, and technical depth.
|
| 72 |
+
3. COMMUNICATION: Detect filler words or vague language ("stuff", "things", "basically", "kind of", "sort of", "I think", "maybe"). Evaluate clarity.
|
| 73 |
+
4. CONFIDENCE: Does the answer show ownership ("I led", "I decided") or deflection ("we just", "they told me to")?
|
| 74 |
+
5. SCORING: Use a Google hiring committee rubric - score each dimension independently.
|
| 75 |
+
6. FOLLOW-UP QUESTIONS: What would a skilled interviewer ask next?
|
| 76 |
+
7. IDEAL ANSWER: Write the answer a top candidate would give.
|
| 77 |
+
8. DELIVERY TIPS: Body language, pacing, presentation improvements.
|
| 78 |
+
9. REWRITTEN ANSWER: Rewrite their answer to be significantly stronger while keeping their core content.
|
| 79 |
+
|
| 80 |
+
Return ONLY valid JSON (no markdown, no code fences):
|
| 81 |
+
{
|
| 82 |
+
"score": <1-10 overall>,
|
| 83 |
+
"feedback": "<2-3 sentence overall assessment>",
|
| 84 |
+
"strengths": ["<strength 1>", "<strength 2>"],
|
| 85 |
+
"improvements": ["<specific improvement 1>", "<specific improvement 2>"],
|
| 86 |
+
"starAnalysis": {
|
| 87 |
+
"situation": {"present": true, "feedback": "<what they said or what is missing>"},
|
| 88 |
+
"task": {"present": false, "feedback": "<what they said or what is missing>"},
|
| 89 |
+
"action": {"present": true, "feedback": "<what they said or what is missing>"},
|
| 90 |
+
"result": {"present": false, "feedback": "<what they said or what is missing>"}
|
| 91 |
+
},
|
| 92 |
+
"detailedScores": {
|
| 93 |
+
"relevance": <1-10>,
|
| 94 |
+
"specificity": <1-10>,
|
| 95 |
+
"structure": <1-10>,
|
| 96 |
+
"communication": <1-10>,
|
| 97 |
+
"confidence": <1-10>,
|
| 98 |
+
"technicalDepth": <1-10>
|
| 99 |
+
},
|
| 100 |
+
"fillerWords": ["<detected filler word or phrase>"],
|
| 101 |
+
"vagueStatements": ["<vague statement from their answer>"],
|
| 102 |
+
"followUpQuestions": ["<follow-up Q1>", "<follow-up Q2>", "<follow-up Q3>"],
|
| 103 |
+
"idealAnswer": "<the ideal answer a top candidate would give>",
|
| 104 |
+
"rewrittenAnswer": "<their answer rewritten to be much stronger>",
|
| 105 |
+
"deliveryTips": ["<tip 1>", "<tip 2>", "<tip 3>"],
|
| 106 |
+
"sampleAnswer": "<brief strong example answer>"
|
| 107 |
+
}
|
| 108 |
+
|
| 109 |
+
Use true/false booleans for present fields. Be thorough and actionable. Return ONLY JSON.`);
|
| 110 |
return parseJSON(text);
|
| 111 |
}
|
| 112 |
|
| 113 |
async function generateFinalReport(role, questionsAndAnswers) {
|
| 114 |
+
const qaPairs = questionsAndAnswers.map((qa, i) =>
|
| 115 |
+
`Q${i+1}: ${qa.question}\nAnswer: ${qa.answer}\nScore: ${qa.score}/10`
|
| 116 |
+
).join('\n\n');
|
| 117 |
+
|
| 118 |
+
const text = await callAI(`You are an elite interview coach writing a comprehensive final assessment for a ${role} candidate. You have evaluated candidates for top tech companies.
|
| 119 |
|
| 120 |
INTERVIEW TRANSCRIPT:
|
| 121 |
${qaPairs}
|
| 122 |
|
| 123 |
+
Provide a thorough final report. Analyze patterns across all answers.
|
|
|
|
| 124 |
|
| 125 |
+
Return ONLY valid JSON (no markdown, no code fences):
|
| 126 |
+
{
|
| 127 |
+
"overallScore": <1-100>,
|
| 128 |
+
"verdict": "<STRONG_HIRE|HIRE|MAYBE|NO_HIRE>",
|
| 129 |
+
"summary": "<4-5 sentence comprehensive summary>",
|
| 130 |
+
"topStrengths": ["<strength 1>", "<strength 2>", "<strength 3>"],
|
| 131 |
+
"areasToImprove": ["<area 1>", "<area 2>", "<area 3>"],
|
| 132 |
+
"recommendation": "<3-4 sentences of specific next steps>",
|
| 133 |
+
"readinessLevel": "<Not Ready|Getting There|Almost Ready|Interview Ready>",
|
| 134 |
+
"communicationProfile": {
|
| 135 |
+
"clarity": <1-10>,
|
| 136 |
+
"conciseness": <1-10>,
|
| 137 |
+
"confidence": <1-10>,
|
| 138 |
+
"storytelling": <1-10>,
|
| 139 |
+
"technicalArticulation": <1-10>
|
| 140 |
+
},
|
| 141 |
+
"interviewPatterns": {
|
| 142 |
+
"consistentStrengths": ["<pattern 1>", "<pattern 2>"],
|
| 143 |
+
"consistentWeaknesses": ["<pattern 1>", "<pattern 2>"],
|
| 144 |
+
"trajectory": "<improving|stable|declining>"
|
| 145 |
+
},
|
| 146 |
+
"actionPlan": [
|
| 147 |
+
{"priority": "high", "action": "<specific action item>", "timeframe": "<e.g., 1 week>"},
|
| 148 |
+
{"priority": "medium", "action": "<specific action item>", "timeframe": "<e.g., 2 weeks>"},
|
| 149 |
+
{"priority": "low", "action": "<specific action item>", "timeframe": "<e.g., 1 month>"}
|
| 150 |
+
],
|
| 151 |
+
"mockInterviewTips": ["<tip 1>", "<tip 2>", "<tip 3>"]
|
| 152 |
+
}
|
| 153 |
+
|
| 154 |
+
Return ONLY JSON.`);
|
| 155 |
return parseJSON(text);
|
| 156 |
}
|
| 157 |
|
frontend/src/components/Interview.jsx
CHANGED
|
@@ -6,18 +6,53 @@ function scoreClass(score) {
|
|
| 6 |
return 'bad';
|
| 7 |
}
|
| 8 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 9 |
export default function Interview({ question, progress, onSubmit, evaluation, loading }) {
|
| 10 |
const [answer, setAnswer] = useState('');
|
|
|
|
| 11 |
|
| 12 |
const handleSubmit = () => {
|
| 13 |
if (answer.trim().length >= 10) {
|
| 14 |
onSubmit(answer.trim());
|
| 15 |
setAnswer('');
|
|
|
|
| 16 |
}
|
| 17 |
};
|
| 18 |
|
| 19 |
const pct = (progress.answered / progress.total) * 100;
|
| 20 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 21 |
return (
|
| 22 |
<div className="interview-panel">
|
| 23 |
<div className="progress-bar">
|
|
@@ -40,26 +75,152 @@ export default function Interview({ question, progress, onSubmit, evaluation, lo
|
|
| 40 |
</div>
|
| 41 |
<p className="eval-feedback">{evaluation.feedback}</p>
|
| 42 |
|
| 43 |
-
|
| 44 |
-
|
| 45 |
-
<
|
| 46 |
-
|
| 47 |
-
|
| 48 |
-
|
| 49 |
-
|
| 50 |
-
|
| 51 |
-
|
| 52 |
-
|
| 53 |
-
|
| 54 |
-
|
| 55 |
-
|
| 56 |
-
|
| 57 |
-
|
| 58 |
-
|
| 59 |
-
|
| 60 |
-
|
| 61 |
-
|
| 62 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 63 |
</div>
|
| 64 |
)}
|
| 65 |
|
|
|
|
| 6 |
return 'bad';
|
| 7 |
}
|
| 8 |
|
| 9 |
+
function StarBadge({ present }) {
|
| 10 |
+
return (
|
| 11 |
+
<span className={`star-badge ${present ? 'star-present' : 'star-missing'}`}>
|
| 12 |
+
{present ? 'Present' : 'Missing'}
|
| 13 |
+
</span>
|
| 14 |
+
);
|
| 15 |
+
}
|
| 16 |
+
|
| 17 |
+
function ScoreBar({ label, value, max = 10 }) {
|
| 18 |
+
const pct = (value / max) * 100;
|
| 19 |
+
const cls = value >= 7 ? 'good' : value >= 4 ? 'ok' : 'bad';
|
| 20 |
+
return (
|
| 21 |
+
<div className="score-bar-row">
|
| 22 |
+
<span className="score-bar-label">{label}</span>
|
| 23 |
+
<div className="score-bar-track">
|
| 24 |
+
<div className={`score-bar-fill ${cls}`} style={{ width: `${pct}%` }} />
|
| 25 |
+
</div>
|
| 26 |
+
<span className={`score-bar-value ${cls}`}>{value}/{max}</span>
|
| 27 |
+
</div>
|
| 28 |
+
);
|
| 29 |
+
}
|
| 30 |
+
|
| 31 |
export default function Interview({ question, progress, onSubmit, evaluation, loading }) {
|
| 32 |
const [answer, setAnswer] = useState('');
|
| 33 |
+
const [activeTab, setActiveTab] = useState('overview');
|
| 34 |
|
| 35 |
const handleSubmit = () => {
|
| 36 |
if (answer.trim().length >= 10) {
|
| 37 |
onSubmit(answer.trim());
|
| 38 |
setAnswer('');
|
| 39 |
+
setActiveTab('overview');
|
| 40 |
}
|
| 41 |
};
|
| 42 |
|
| 43 |
const pct = (progress.answered / progress.total) * 100;
|
| 44 |
|
| 45 |
+
const tabs = [
|
| 46 |
+
{ id: 'overview', label: 'Overview' },
|
| 47 |
+
{ id: 'star', label: 'STAR Analysis' },
|
| 48 |
+
{ id: 'scores', label: 'Detailed Scores' },
|
| 49 |
+
{ id: 'language', label: 'Language Check' },
|
| 50 |
+
{ id: 'followup', label: 'Follow-ups' },
|
| 51 |
+
{ id: 'ideal', label: 'Ideal Answer' },
|
| 52 |
+
{ id: 'rewrite', label: 'Rewritten' },
|
| 53 |
+
{ id: 'delivery', label: 'Delivery Tips' },
|
| 54 |
+
];
|
| 55 |
+
|
| 56 |
return (
|
| 57 |
<div className="interview-panel">
|
| 58 |
<div className="progress-bar">
|
|
|
|
| 75 |
</div>
|
| 76 |
<p className="eval-feedback">{evaluation.feedback}</p>
|
| 77 |
|
| 78 |
+
<div className="eval-tabs">
|
| 79 |
+
{tabs.map(tab => (
|
| 80 |
+
<button
|
| 81 |
+
key={tab.id}
|
| 82 |
+
className={`eval-tab ${activeTab === tab.id ? 'active' : ''}`}
|
| 83 |
+
onClick={() => setActiveTab(tab.id)}
|
| 84 |
+
>
|
| 85 |
+
{tab.label}
|
| 86 |
+
</button>
|
| 87 |
+
))}
|
| 88 |
+
</div>
|
| 89 |
+
|
| 90 |
+
<div className="eval-tab-content">
|
| 91 |
+
{activeTab === 'overview' && (
|
| 92 |
+
<>
|
| 93 |
+
{evaluation.strengths?.length > 0 && (
|
| 94 |
+
<div className="eval-section strengths">
|
| 95 |
+
<h4>Strengths</h4>
|
| 96 |
+
<ul>{evaluation.strengths.map((s, i) => <li key={i}>{s}</li>)}</ul>
|
| 97 |
+
</div>
|
| 98 |
+
)}
|
| 99 |
+
{evaluation.improvements?.length > 0 && (
|
| 100 |
+
<div className="eval-section improvements">
|
| 101 |
+
<h4>How to Improve</h4>
|
| 102 |
+
<ul>{evaluation.improvements.map((s, i) => <li key={i}>{s}</li>)}</ul>
|
| 103 |
+
</div>
|
| 104 |
+
)}
|
| 105 |
+
{evaluation.sampleAnswer && (
|
| 106 |
+
<div className="sample-answer">
|
| 107 |
+
<h4>Strong Answer Example</h4>
|
| 108 |
+
<p>{evaluation.sampleAnswer}</p>
|
| 109 |
+
</div>
|
| 110 |
+
)}
|
| 111 |
+
</>
|
| 112 |
+
)}
|
| 113 |
+
|
| 114 |
+
{activeTab === 'star' && evaluation.starAnalysis && (
|
| 115 |
+
<div className="star-analysis">
|
| 116 |
+
<h4>STAR Method Breakdown</h4>
|
| 117 |
+
<p className="star-desc">The STAR method (Situation-Task-Action-Result) is the gold standard for structuring interview answers.</p>
|
| 118 |
+
{['situation', 'task', 'action', 'result'].map(key => {
|
| 119 |
+
const item = evaluation.starAnalysis[key];
|
| 120 |
+
if (!item) return null;
|
| 121 |
+
return (
|
| 122 |
+
<div key={key} className={`star-item ${item.present ? 'star-item-present' : 'star-item-missing'}`}>
|
| 123 |
+
<div className="star-item-header">
|
| 124 |
+
<span className="star-item-letter">{key.charAt(0).toUpperCase()}</span>
|
| 125 |
+
<span className="star-item-name">{key.charAt(0).toUpperCase() + key.slice(1)}</span>
|
| 126 |
+
<StarBadge present={item.present} />
|
| 127 |
+
</div>
|
| 128 |
+
<p className="star-item-feedback">{item.feedback}</p>
|
| 129 |
+
</div>
|
| 130 |
+
);
|
| 131 |
+
})}
|
| 132 |
+
</div>
|
| 133 |
+
)}
|
| 134 |
+
|
| 135 |
+
{activeTab === 'scores' && evaluation.detailedScores && (
|
| 136 |
+
<div className="detailed-scores">
|
| 137 |
+
<h4>Google Hiring Committee Rubric</h4>
|
| 138 |
+
<ScoreBar label="Relevance" value={evaluation.detailedScores.relevance} />
|
| 139 |
+
<ScoreBar label="Specificity" value={evaluation.detailedScores.specificity} />
|
| 140 |
+
<ScoreBar label="Structure" value={evaluation.detailedScores.structure} />
|
| 141 |
+
<ScoreBar label="Communication" value={evaluation.detailedScores.communication} />
|
| 142 |
+
<ScoreBar label="Confidence" value={evaluation.detailedScores.confidence} />
|
| 143 |
+
<ScoreBar label="Technical Depth" value={evaluation.detailedScores.technicalDepth} />
|
| 144 |
+
</div>
|
| 145 |
+
)}
|
| 146 |
+
|
| 147 |
+
{activeTab === 'language' && (
|
| 148 |
+
<div className="language-check">
|
| 149 |
+
{evaluation.fillerWords?.length > 0 && (
|
| 150 |
+
<div className="language-section">
|
| 151 |
+
<h4>Filler Words Detected</h4>
|
| 152 |
+
<div className="tag-list">
|
| 153 |
+
{evaluation.fillerWords.map((w, i) => (
|
| 154 |
+
<span key={i} className="tag tag-warning">{w}</span>
|
| 155 |
+
))}
|
| 156 |
+
</div>
|
| 157 |
+
<p className="language-tip">Eliminate these to sound more confident and polished.</p>
|
| 158 |
+
</div>
|
| 159 |
+
)}
|
| 160 |
+
{evaluation.vagueStatements?.length > 0 && (
|
| 161 |
+
<div className="language-section">
|
| 162 |
+
<h4>Vague Statements</h4>
|
| 163 |
+
<ul className="vague-list">
|
| 164 |
+
{evaluation.vagueStatements.map((v, i) => (
|
| 165 |
+
<li key={i}><span className="vague-quote">"{v}"</span></li>
|
| 166 |
+
))}
|
| 167 |
+
</ul>
|
| 168 |
+
<p className="language-tip">Replace these with specific numbers, names, or concrete outcomes.</p>
|
| 169 |
+
</div>
|
| 170 |
+
)}
|
| 171 |
+
{(!evaluation.fillerWords || evaluation.fillerWords.length === 0) &&
|
| 172 |
+
(!evaluation.vagueStatements || evaluation.vagueStatements.length === 0) && (
|
| 173 |
+
<div className="language-clean">
|
| 174 |
+
<span className="clean-icon">✓</span>
|
| 175 |
+
<p>Clean language! No filler words or vague statements detected.</p>
|
| 176 |
+
</div>
|
| 177 |
+
)}
|
| 178 |
+
</div>
|
| 179 |
+
)}
|
| 180 |
+
|
| 181 |
+
{activeTab === 'followup' && evaluation.followUpQuestions?.length > 0 && (
|
| 182 |
+
<div className="followup-section">
|
| 183 |
+
<h4>Likely Follow-up Questions</h4>
|
| 184 |
+
<p className="followup-desc">An interviewer would probably ask these next. Prepare answers for each.</p>
|
| 185 |
+
<ol className="followup-list">
|
| 186 |
+
{evaluation.followUpQuestions.map((q, i) => (
|
| 187 |
+
<li key={i}>{q}</li>
|
| 188 |
+
))}
|
| 189 |
+
</ol>
|
| 190 |
+
</div>
|
| 191 |
+
)}
|
| 192 |
+
|
| 193 |
+
{activeTab === 'ideal' && evaluation.idealAnswer && (
|
| 194 |
+
<div className="ideal-answer-section">
|
| 195 |
+
<h4>Ideal Answer (Top Candidate)</h4>
|
| 196 |
+
<p className="ideal-desc">This is what a top-performing candidate would say. Compare with your answer to identify gaps.</p>
|
| 197 |
+
<div className="ideal-answer-box">
|
| 198 |
+
<p>{evaluation.idealAnswer}</p>
|
| 199 |
+
</div>
|
| 200 |
+
</div>
|
| 201 |
+
)}
|
| 202 |
+
|
| 203 |
+
{activeTab === 'rewrite' && evaluation.rewrittenAnswer && (
|
| 204 |
+
<div className="rewrite-section">
|
| 205 |
+
<h4>Your Answer, Upgraded</h4>
|
| 206 |
+
<p className="rewrite-desc">Here is your core answer rewritten to be significantly stronger while preserving your key points.</p>
|
| 207 |
+
<div className="rewrite-box">
|
| 208 |
+
<p>{evaluation.rewrittenAnswer}</p>
|
| 209 |
+
</div>
|
| 210 |
+
</div>
|
| 211 |
+
)}
|
| 212 |
+
|
| 213 |
+
{activeTab === 'delivery' && evaluation.deliveryTips?.length > 0 && (
|
| 214 |
+
<div className="delivery-section">
|
| 215 |
+
<h4>Body Language & Delivery Tips</h4>
|
| 216 |
+
<ul className="delivery-list">
|
| 217 |
+
{evaluation.deliveryTips.map((tip, i) => (
|
| 218 |
+
<li key={i}>{tip}</li>
|
| 219 |
+
))}
|
| 220 |
+
</ul>
|
| 221 |
+
</div>
|
| 222 |
+
)}
|
| 223 |
+
</div>
|
| 224 |
</div>
|
| 225 |
)}
|
| 226 |
|
frontend/src/components/Report.jsx
CHANGED
|
@@ -1,4 +1,4 @@
|
|
| 1 |
-
import React from 'react';
|
| 2 |
|
| 3 |
function scoreClass(score) {
|
| 4 |
if (score >= 70) return 'good';
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|
@@ -6,8 +6,36 @@ function scoreClass(score) {
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| 6 |
return 'bad';
|
| 7 |
}
|
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|
| 9 |
export default function Report({ data, onReset }) {
|
| 10 |
const { report, details, meta } = data;
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|
| 11 |
|
| 12 |
return (
|
| 13 |
<div className="report">
|
|
@@ -16,46 +44,142 @@ export default function Report({ data, onReset }) {
|
|
| 16 |
{report.overallScore}
|
| 17 |
</div>
|
| 18 |
<div className="score-label" style={{ color: 'var(--text-dim)' }}>Overall Score</div>
|
| 19 |
-
<div className={`verdict ${report.verdict}`}>{report.verdict.replace(
|
| 20 |
<div className="readiness">{report.readinessLevel}</div>
|
| 21 |
</div>
|
| 22 |
|
| 23 |
-
<div className="report-
|
| 24 |
-
|
| 25 |
-
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|
| 26 |
</div>
|
| 27 |
|
| 28 |
-
<div className="report-
|
| 29 |
-
|
| 30 |
-
|
| 31 |
-
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| 33 |
-
|
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|
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|
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|
| 37 |
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| 38 |
-
|
| 39 |
-
|
| 40 |
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|
| 41 |
-
|
| 42 |
|
| 43 |
-
|
| 44 |
-
|
| 45 |
-
|
| 46 |
-
|
| 47 |
-
|
| 48 |
-
|
| 49 |
-
|
| 50 |
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|
| 51 |
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|
| 52 |
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|
| 53 |
-
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 54 |
</span>
|
| 55 |
-
|
| 56 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
|
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|
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|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
| 57 |
</div>
|
| 58 |
-
)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
|
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|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 59 |
</div>
|
| 60 |
|
| 61 |
<button className="btn-secondary" onClick={onReset}>
|
|
|
|
| 1 |
+
import React, { useState } from 'react';
|
| 2 |
|
| 3 |
function scoreClass(score) {
|
| 4 |
if (score >= 70) return 'good';
|
|
|
|
| 6 |
return 'bad';
|
| 7 |
}
|
| 8 |
|
| 9 |
+
function ScoreBar({ label, value, max = 10 }) {
|
| 10 |
+
const pct = (value / max) * 100;
|
| 11 |
+
const cls = value >= 7 ? 'good' : value >= 4 ? 'ok' : 'bad';
|
| 12 |
+
return (
|
| 13 |
+
<div className="score-bar-row">
|
| 14 |
+
<span className="score-bar-label">{label}</span>
|
| 15 |
+
<div className="score-bar-track">
|
| 16 |
+
<div className={`score-bar-fill ${cls}`} style={{ width: `${pct}%` }} />
|
| 17 |
+
</div>
|
| 18 |
+
<span className={`score-bar-value ${cls}`}>{value}/{max}</span>
|
| 19 |
+
</div>
|
| 20 |
+
);
|
| 21 |
+
}
|
| 22 |
+
|
| 23 |
+
function PriorityBadge({ priority }) {
|
| 24 |
+
return <span className={`priority-badge priority-${priority}`}>{priority.toUpperCase()}</span>;
|
| 25 |
+
}
|
| 26 |
+
|
| 27 |
export default function Report({ data, onReset }) {
|
| 28 |
const { report, details, meta } = data;
|
| 29 |
+
const [activeSection, setActiveSection] = useState('overview');
|
| 30 |
+
|
| 31 |
+
const sections = [
|
| 32 |
+
{ id: 'overview', label: 'Overview' },
|
| 33 |
+
{ id: 'communication', label: 'Communication Profile' },
|
| 34 |
+
{ id: 'patterns', label: 'Interview Patterns' },
|
| 35 |
+
{ id: 'actionplan', label: 'Action Plan' },
|
| 36 |
+
{ id: 'breakdown', label: 'Q&A Breakdown' },
|
| 37 |
+
{ id: 'tips', label: 'Next Steps' },
|
| 38 |
+
];
|
| 39 |
|
| 40 |
return (
|
| 41 |
<div className="report">
|
|
|
|
| 44 |
{report.overallScore}
|
| 45 |
</div>
|
| 46 |
<div className="score-label" style={{ color: 'var(--text-dim)' }}>Overall Score</div>
|
| 47 |
+
<div className={`verdict ${report.verdict}`}>{report.verdict.replace(/_/g, ' ')}</div>
|
| 48 |
<div className="readiness">{report.readinessLevel}</div>
|
| 49 |
</div>
|
| 50 |
|
| 51 |
+
<div className="report-tabs">
|
| 52 |
+
{sections.map(sec => (
|
| 53 |
+
<button
|
| 54 |
+
key={sec.id}
|
| 55 |
+
className={`report-tab ${activeSection === sec.id ? 'active' : ''}`}
|
| 56 |
+
onClick={() => setActiveSection(sec.id)}
|
| 57 |
+
>
|
| 58 |
+
{sec.label}
|
| 59 |
+
</button>
|
| 60 |
+
))}
|
| 61 |
</div>
|
| 62 |
|
| 63 |
+
<div className="report-tab-content">
|
| 64 |
+
{activeSection === 'overview' && (
|
| 65 |
+
<>
|
| 66 |
+
<div className="report-card">
|
| 67 |
+
<h3>Summary</h3>
|
| 68 |
+
<p className="report-summary">{report.summary}</p>
|
| 69 |
+
</div>
|
| 70 |
|
| 71 |
+
<div className="report-card strengths">
|
| 72 |
+
<h3>Top Strengths</h3>
|
| 73 |
+
<ul>{report.topStrengths?.map((s, i) => <li key={i}>{s}</li>)}</ul>
|
| 74 |
+
</div>
|
| 75 |
|
| 76 |
+
<div className="report-card improve">
|
| 77 |
+
<h3>Areas to Improve</h3>
|
| 78 |
+
<ul>{report.areasToImprove?.map((a, i) => <li key={i}>{a}</li>)}</ul>
|
| 79 |
+
</div>
|
| 80 |
|
| 81 |
+
<div className="report-card">
|
| 82 |
+
<h3>Recommendation</h3>
|
| 83 |
+
<p className="report-summary">{report.recommendation}</p>
|
| 84 |
+
</div>
|
| 85 |
+
</>
|
| 86 |
+
)}
|
| 87 |
+
|
| 88 |
+
{activeSection === 'communication' && report.communicationProfile && (
|
| 89 |
+
<div className="report-card">
|
| 90 |
+
<h3>Communication Profile</h3>
|
| 91 |
+
<p className="section-desc">How you come across in an interview setting, scored across five key dimensions.</p>
|
| 92 |
+
<div className="comm-scores">
|
| 93 |
+
<ScoreBar label="Clarity" value={report.communicationProfile.clarity} />
|
| 94 |
+
<ScoreBar label="Conciseness" value={report.communicationProfile.conciseness} />
|
| 95 |
+
<ScoreBar label="Confidence" value={report.communicationProfile.confidence} />
|
| 96 |
+
<ScoreBar label="Storytelling" value={report.communicationProfile.storytelling} />
|
| 97 |
+
<ScoreBar label="Technical Articulation" value={report.communicationProfile.technicalArticulation} />
|
| 98 |
+
</div>
|
| 99 |
+
</div>
|
| 100 |
+
)}
|
| 101 |
+
|
| 102 |
+
{activeSection === 'patterns' && report.interviewPatterns && (
|
| 103 |
+
<div className="report-card">
|
| 104 |
+
<h3>Interview Patterns</h3>
|
| 105 |
+
<p className="section-desc">Patterns observed across all your answers.</p>
|
| 106 |
+
|
| 107 |
+
<div className="pattern-trajectory">
|
| 108 |
+
<span className="trajectory-label">Performance Trajectory:</span>
|
| 109 |
+
<span className={`trajectory-value trajectory-${report.interviewPatterns.trajectory}`}>
|
| 110 |
+
{report.interviewPatterns.trajectory === 'improving' ? 'Improving' :
|
| 111 |
+
report.interviewPatterns.trajectory === 'declining' ? 'Declining' : 'Stable'}
|
| 112 |
</span>
|
| 113 |
+
</div>
|
| 114 |
+
|
| 115 |
+
{report.interviewPatterns.consistentStrengths?.length > 0 && (
|
| 116 |
+
<div className="pattern-section">
|
| 117 |
+
<h4>Consistent Strengths</h4>
|
| 118 |
+
<ul className="pattern-list pattern-strengths">
|
| 119 |
+
{report.interviewPatterns.consistentStrengths.map((p, i) => <li key={i}>{p}</li>)}
|
| 120 |
+
</ul>
|
| 121 |
+
</div>
|
| 122 |
+
)}
|
| 123 |
+
|
| 124 |
+
{report.interviewPatterns.consistentWeaknesses?.length > 0 && (
|
| 125 |
+
<div className="pattern-section">
|
| 126 |
+
<h4>Consistent Weaknesses</h4>
|
| 127 |
+
<ul className="pattern-list pattern-weaknesses">
|
| 128 |
+
{report.interviewPatterns.consistentWeaknesses.map((p, i) => <li key={i}>{p}</li>)}
|
| 129 |
+
</ul>
|
| 130 |
+
</div>
|
| 131 |
+
)}
|
| 132 |
</div>
|
| 133 |
+
)}
|
| 134 |
+
|
| 135 |
+
{activeSection === 'actionplan' && report.actionPlan?.length > 0 && (
|
| 136 |
+
<div className="report-card">
|
| 137 |
+
<h3>Personalized Action Plan</h3>
|
| 138 |
+
<p className="section-desc">Your prioritized roadmap to interview readiness.</p>
|
| 139 |
+
<div className="action-plan">
|
| 140 |
+
{report.actionPlan.map((item, i) => (
|
| 141 |
+
<div key={i} className="action-item">
|
| 142 |
+
<div className="action-header">
|
| 143 |
+
<PriorityBadge priority={item.priority} />
|
| 144 |
+
<span className="action-timeframe">{item.timeframe}</span>
|
| 145 |
+
</div>
|
| 146 |
+
<p className="action-text">{item.action}</p>
|
| 147 |
+
</div>
|
| 148 |
+
))}
|
| 149 |
+
</div>
|
| 150 |
+
</div>
|
| 151 |
+
)}
|
| 152 |
+
|
| 153 |
+
{activeSection === 'breakdown' && (
|
| 154 |
+
<div className="report-card">
|
| 155 |
+
<h3>Question-by-Question Breakdown</h3>
|
| 156 |
+
{details.map((d, i) => (
|
| 157 |
+
<div key={i} className="qa-breakdown-item">
|
| 158 |
+
<p className="qa-question">Q{i + 1}: {d.question}</p>
|
| 159 |
+
<p className="qa-answer">
|
| 160 |
+
Your answer: {d.answer.substring(0, 200)}{d.answer.length > 200 ? '...' : ''}
|
| 161 |
+
</p>
|
| 162 |
+
<p className="qa-score-line">
|
| 163 |
+
Score: <span className={`qa-score ${d.score >= 7 ? 'good' : d.score >= 4 ? 'ok' : 'bad'}`}>
|
| 164 |
+
{d.score}/10
|
| 165 |
+
</span>
|
| 166 |
+
{' '}{d.feedback}
|
| 167 |
+
</p>
|
| 168 |
+
</div>
|
| 169 |
+
))}
|
| 170 |
+
</div>
|
| 171 |
+
)}
|
| 172 |
+
|
| 173 |
+
{activeSection === 'tips' && (
|
| 174 |
+
<div className="report-card">
|
| 175 |
+
<h3>Tips for Your Next Practice Session</h3>
|
| 176 |
+
{report.mockInterviewTips?.length > 0 && (
|
| 177 |
+
<ul className="tips-list">
|
| 178 |
+
{report.mockInterviewTips.map((tip, i) => <li key={i}>{tip}</li>)}
|
| 179 |
+
</ul>
|
| 180 |
+
)}
|
| 181 |
+
</div>
|
| 182 |
+
)}
|
| 183 |
</div>
|
| 184 |
|
| 185 |
<button className="btn-secondary" onClick={onReset}>
|
frontend/src/styles/global.css
CHANGED
|
@@ -3,6 +3,7 @@
|
|
| 3 |
:root {
|
| 4 |
--bg: #0a0a1a;
|
| 5 |
--bg-card: #131332;
|
|
|
|
| 6 |
--accent: #6c5ce7;
|
| 7 |
--accent-light: #a29bfe;
|
| 8 |
--success: #00b894;
|
|
@@ -20,7 +21,7 @@ body {
|
|
| 20 |
min-height: 100vh;
|
| 21 |
}
|
| 22 |
|
| 23 |
-
.app { max-width:
|
| 24 |
|
| 25 |
.header { text-align: center; margin-bottom: 2rem; }
|
| 26 |
.header h1 {
|
|
@@ -170,13 +171,41 @@ body {
|
|
| 170 |
|
| 171 |
.eval-feedback { color: var(--text-dim); line-height: 1.5; margin-bottom: 1rem; text-align: center; }
|
| 172 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
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|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 173 |
.eval-section { margin-top: 0.8rem; }
|
| 174 |
.eval-section h4 { font-size: 0.9rem; margin-bottom: 0.4rem; }
|
| 175 |
.eval-section ul { list-style: none; padding: 0; }
|
| 176 |
.eval-section li { padding: 0.3rem 0; padding-left: 1.2rem; position: relative; color: var(--text-dim); font-size: 0.9rem; }
|
| 177 |
.eval-section li::before { position: absolute; left: 0; }
|
| 178 |
-
.eval-section.strengths li::before { content: "
|
| 179 |
-
.eval-section.improvements li::before { content: "
|
| 180 |
|
| 181 |
.sample-answer {
|
| 182 |
margin-top: 1rem;
|
|
@@ -188,6 +217,160 @@ body {
|
|
| 188 |
.sample-answer h4 { color: var(--success); margin-bottom: 0.4rem; font-size: 0.9rem; }
|
| 189 |
.sample-answer p { color: var(--text-dim); font-size: 0.9rem; line-height: 1.5; }
|
| 190 |
|
|
|
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|
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| 191 |
/* Report */
|
| 192 |
.report { animation: slideIn 0.5s ease; }
|
| 193 |
.report-header {
|
|
@@ -215,6 +398,34 @@ body {
|
|
| 215 |
.verdict.MAYBE { background: rgba(253,203,110,0.2); color: var(--warning); }
|
| 216 |
.verdict.NO_HIRE { background: rgba(225,112,85,0.2); color: var(--danger); }
|
| 217 |
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| 218 |
.report-card {
|
| 219 |
background: var(--bg-card);
|
| 220 |
border-radius: 16px;
|
|
@@ -225,11 +436,112 @@ body {
|
|
| 225 |
.report-card ul { list-style: none; padding: 0; }
|
| 226 |
.report-card li { padding: 0.4rem 0; padding-left: 1.5rem; position: relative; color: var(--text-dim); }
|
| 227 |
.report-card li::before { position: absolute; left: 0; }
|
| 228 |
-
.report-card.strengths li::before { content: "
|
| 229 |
-
.report-card.improve li::before { content: "
|
| 230 |
|
| 231 |
.report-summary { color: var(--text-dim); line-height: 1.6; margin-top: 0.5rem; }
|
| 232 |
.readiness { text-align: center; margin-top: 0.8rem; font-size: 1.1rem; }
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|
| 233 |
|
| 234 |
.btn-secondary {
|
| 235 |
display: block;
|
|
@@ -259,4 +571,8 @@ body {
|
|
| 259 |
@media (max-width: 600px) {
|
| 260 |
.form-row { grid-template-columns: 1fr; }
|
| 261 |
.header h1 { font-size: 1.6rem; }
|
|
|
|
|
|
|
|
|
|
|
|
|
| 262 |
}
|
|
|
|
| 3 |
:root {
|
| 4 |
--bg: #0a0a1a;
|
| 5 |
--bg-card: #131332;
|
| 6 |
+
--bg-card-alt: #1a1a40;
|
| 7 |
--accent: #6c5ce7;
|
| 8 |
--accent-light: #a29bfe;
|
| 9 |
--success: #00b894;
|
|
|
|
| 21 |
min-height: 100vh;
|
| 22 |
}
|
| 23 |
|
| 24 |
+
.app { max-width: 860px; margin: 0 auto; padding: 2rem 1.5rem; }
|
| 25 |
|
| 26 |
.header { text-align: center; margin-bottom: 2rem; }
|
| 27 |
.header h1 {
|
|
|
|
| 171 |
|
| 172 |
.eval-feedback { color: var(--text-dim); line-height: 1.5; margin-bottom: 1rem; text-align: center; }
|
| 173 |
|
| 174 |
+
/* Evaluation Tabs */
|
| 175 |
+
.eval-tabs {
|
| 176 |
+
display: flex;
|
| 177 |
+
flex-wrap: wrap;
|
| 178 |
+
gap: 0.4rem;
|
| 179 |
+
margin-bottom: 1.2rem;
|
| 180 |
+
border-bottom: 1px solid var(--border);
|
| 181 |
+
padding-bottom: 0.8rem;
|
| 182 |
+
}
|
| 183 |
+
.eval-tab {
|
| 184 |
+
padding: 0.4rem 0.8rem;
|
| 185 |
+
background: transparent;
|
| 186 |
+
border: 1px solid var(--border);
|
| 187 |
+
border-radius: 8px;
|
| 188 |
+
color: var(--text-dim);
|
| 189 |
+
cursor: pointer;
|
| 190 |
+
font-size: 0.8rem;
|
| 191 |
+
transition: all 0.2s;
|
| 192 |
+
}
|
| 193 |
+
.eval-tab:hover { border-color: var(--accent); color: var(--text); }
|
| 194 |
+
.eval-tab.active {
|
| 195 |
+
background: var(--accent);
|
| 196 |
+
border-color: var(--accent);
|
| 197 |
+
color: white;
|
| 198 |
+
}
|
| 199 |
+
|
| 200 |
+
.eval-tab-content { min-height: 100px; }
|
| 201 |
+
|
| 202 |
.eval-section { margin-top: 0.8rem; }
|
| 203 |
.eval-section h4 { font-size: 0.9rem; margin-bottom: 0.4rem; }
|
| 204 |
.eval-section ul { list-style: none; padding: 0; }
|
| 205 |
.eval-section li { padding: 0.3rem 0; padding-left: 1.2rem; position: relative; color: var(--text-dim); font-size: 0.9rem; }
|
| 206 |
.eval-section li::before { position: absolute; left: 0; }
|
| 207 |
+
.eval-section.strengths li::before { content: "\2713"; color: var(--success); font-weight: bold; }
|
| 208 |
+
.eval-section.improvements li::before { content: "\2192"; color: var(--warning); }
|
| 209 |
|
| 210 |
.sample-answer {
|
| 211 |
margin-top: 1rem;
|
|
|
|
| 217 |
.sample-answer h4 { color: var(--success); margin-bottom: 0.4rem; font-size: 0.9rem; }
|
| 218 |
.sample-answer p { color: var(--text-dim); font-size: 0.9rem; line-height: 1.5; }
|
| 219 |
|
| 220 |
+
/* STAR Analysis */
|
| 221 |
+
.star-analysis h4 { margin-bottom: 0.5rem; color: var(--accent-light); }
|
| 222 |
+
.star-desc { color: var(--text-dim); font-size: 0.85rem; margin-bottom: 1rem; }
|
| 223 |
+
.star-item {
|
| 224 |
+
padding: 0.8rem 1rem;
|
| 225 |
+
margin-bottom: 0.6rem;
|
| 226 |
+
border-radius: 10px;
|
| 227 |
+
border-left: 4px solid var(--border);
|
| 228 |
+
}
|
| 229 |
+
.star-item-present { background: rgba(0, 184, 148, 0.06); border-left-color: var(--success); }
|
| 230 |
+
.star-item-missing { background: rgba(225, 112, 85, 0.06); border-left-color: var(--danger); }
|
| 231 |
+
.star-item-header { display: flex; align-items: center; gap: 0.6rem; margin-bottom: 0.4rem; }
|
| 232 |
+
.star-item-letter {
|
| 233 |
+
width: 28px; height: 28px;
|
| 234 |
+
display: flex; align-items: center; justify-content: center;
|
| 235 |
+
background: var(--accent);
|
| 236 |
+
color: white;
|
| 237 |
+
border-radius: 50%;
|
| 238 |
+
font-weight: 800;
|
| 239 |
+
font-size: 0.85rem;
|
| 240 |
+
}
|
| 241 |
+
.star-item-name { font-weight: 600; font-size: 0.95rem; }
|
| 242 |
+
.star-badge {
|
| 243 |
+
font-size: 0.7rem;
|
| 244 |
+
padding: 0.15rem 0.5rem;
|
| 245 |
+
border-radius: 10px;
|
| 246 |
+
font-weight: 600;
|
| 247 |
+
margin-left: auto;
|
| 248 |
+
}
|
| 249 |
+
.star-present { background: rgba(0,184,148,0.2); color: var(--success); }
|
| 250 |
+
.star-missing { background: rgba(225,112,85,0.2); color: var(--danger); }
|
| 251 |
+
.star-item-feedback { color: var(--text-dim); font-size: 0.85rem; line-height: 1.5; }
|
| 252 |
+
|
| 253 |
+
/* Score Bars */
|
| 254 |
+
.detailed-scores h4 { margin-bottom: 1rem; color: var(--accent-light); }
|
| 255 |
+
.score-bar-row {
|
| 256 |
+
display: flex;
|
| 257 |
+
align-items: center;
|
| 258 |
+
gap: 0.8rem;
|
| 259 |
+
margin-bottom: 0.7rem;
|
| 260 |
+
}
|
| 261 |
+
.score-bar-label {
|
| 262 |
+
width: 140px;
|
| 263 |
+
font-size: 0.85rem;
|
| 264 |
+
color: var(--text-dim);
|
| 265 |
+
flex-shrink: 0;
|
| 266 |
+
}
|
| 267 |
+
.score-bar-track {
|
| 268 |
+
flex: 1;
|
| 269 |
+
height: 8px;
|
| 270 |
+
background: var(--border);
|
| 271 |
+
border-radius: 4px;
|
| 272 |
+
overflow: hidden;
|
| 273 |
+
}
|
| 274 |
+
.score-bar-fill {
|
| 275 |
+
height: 100%;
|
| 276 |
+
border-radius: 4px;
|
| 277 |
+
transition: width 0.5s ease;
|
| 278 |
+
}
|
| 279 |
+
.score-bar-fill.good { background: var(--success); }
|
| 280 |
+
.score-bar-fill.ok { background: var(--warning); }
|
| 281 |
+
.score-bar-fill.bad { background: var(--danger); }
|
| 282 |
+
.score-bar-value {
|
| 283 |
+
width: 40px;
|
| 284 |
+
text-align: right;
|
| 285 |
+
font-size: 0.85rem;
|
| 286 |
+
font-weight: 700;
|
| 287 |
+
flex-shrink: 0;
|
| 288 |
+
}
|
| 289 |
+
.score-bar-value.good { color: var(--success); }
|
| 290 |
+
.score-bar-value.ok { color: var(--warning); }
|
| 291 |
+
.score-bar-value.bad { color: var(--danger); }
|
| 292 |
+
|
| 293 |
+
/* Language Check */
|
| 294 |
+
.language-check h4 { color: var(--accent-light); margin-bottom: 0.5rem; }
|
| 295 |
+
.language-section { margin-bottom: 1.2rem; }
|
| 296 |
+
.tag-list { display: flex; flex-wrap: wrap; gap: 0.4rem; margin: 0.5rem 0; }
|
| 297 |
+
.tag {
|
| 298 |
+
padding: 0.25rem 0.7rem;
|
| 299 |
+
border-radius: 14px;
|
| 300 |
+
font-size: 0.8rem;
|
| 301 |
+
font-weight: 600;
|
| 302 |
+
}
|
| 303 |
+
.tag-warning { background: rgba(253,203,110,0.15); color: var(--warning); }
|
| 304 |
+
.language-tip { color: var(--text-dim); font-size: 0.82rem; font-style: italic; margin-top: 0.4rem; }
|
| 305 |
+
.vague-list { list-style: none; padding: 0; }
|
| 306 |
+
.vague-list li { padding: 0.3rem 0; }
|
| 307 |
+
.vague-quote { color: var(--danger); font-style: italic; font-size: 0.9rem; }
|
| 308 |
+
.language-clean {
|
| 309 |
+
text-align: center;
|
| 310 |
+
padding: 2rem;
|
| 311 |
+
color: var(--success);
|
| 312 |
+
}
|
| 313 |
+
.clean-icon { font-size: 2rem; display: block; margin-bottom: 0.5rem; }
|
| 314 |
+
|
| 315 |
+
/* Follow-up Questions */
|
| 316 |
+
.followup-section h4 { color: var(--accent-light); margin-bottom: 0.3rem; }
|
| 317 |
+
.followup-desc { color: var(--text-dim); font-size: 0.85rem; margin-bottom: 1rem; }
|
| 318 |
+
.followup-list {
|
| 319 |
+
padding-left: 1.2rem;
|
| 320 |
+
}
|
| 321 |
+
.followup-list li {
|
| 322 |
+
padding: 0.5rem 0;
|
| 323 |
+
color: var(--text);
|
| 324 |
+
font-size: 0.95rem;
|
| 325 |
+
line-height: 1.5;
|
| 326 |
+
border-bottom: 1px solid rgba(45,45,94,0.5);
|
| 327 |
+
}
|
| 328 |
+
.followup-list li:last-child { border-bottom: none; }
|
| 329 |
+
|
| 330 |
+
/* Ideal Answer */
|
| 331 |
+
.ideal-answer-section h4 { color: var(--accent-light); margin-bottom: 0.3rem; }
|
| 332 |
+
.ideal-desc { color: var(--text-dim); font-size: 0.85rem; margin-bottom: 1rem; }
|
| 333 |
+
.ideal-answer-box {
|
| 334 |
+
padding: 1.2rem;
|
| 335 |
+
background: rgba(0, 184, 148, 0.06);
|
| 336 |
+
border-left: 4px solid var(--success);
|
| 337 |
+
border-radius: 8px;
|
| 338 |
+
}
|
| 339 |
+
.ideal-answer-box p { color: var(--text-dim); line-height: 1.6; font-size: 0.92rem; }
|
| 340 |
+
|
| 341 |
+
/* Rewrite */
|
| 342 |
+
.rewrite-section h4 { color: var(--accent-light); margin-bottom: 0.3rem; }
|
| 343 |
+
.rewrite-desc { color: var(--text-dim); font-size: 0.85rem; margin-bottom: 1rem; }
|
| 344 |
+
.rewrite-box {
|
| 345 |
+
padding: 1.2rem;
|
| 346 |
+
background: rgba(108, 92, 231, 0.08);
|
| 347 |
+
border-left: 4px solid var(--accent);
|
| 348 |
+
border-radius: 8px;
|
| 349 |
+
}
|
| 350 |
+
.rewrite-box p { color: var(--text-dim); line-height: 1.6; font-size: 0.92rem; }
|
| 351 |
+
|
| 352 |
+
/* Delivery Tips */
|
| 353 |
+
.delivery-section h4 { color: var(--accent-light); margin-bottom: 0.8rem; }
|
| 354 |
+
.delivery-list { list-style: none; padding: 0; }
|
| 355 |
+
.delivery-list li {
|
| 356 |
+
padding: 0.6rem 0.8rem;
|
| 357 |
+
padding-left: 2rem;
|
| 358 |
+
position: relative;
|
| 359 |
+
color: var(--text-dim);
|
| 360 |
+
font-size: 0.9rem;
|
| 361 |
+
line-height: 1.5;
|
| 362 |
+
margin-bottom: 0.4rem;
|
| 363 |
+
background: rgba(108, 92, 231, 0.05);
|
| 364 |
+
border-radius: 8px;
|
| 365 |
+
}
|
| 366 |
+
.delivery-list li::before {
|
| 367 |
+
content: "\25B6";
|
| 368 |
+
position: absolute;
|
| 369 |
+
left: 0.8rem;
|
| 370 |
+
color: var(--accent-light);
|
| 371 |
+
font-size: 0.7rem;
|
| 372 |
+
}
|
| 373 |
+
|
| 374 |
/* Report */
|
| 375 |
.report { animation: slideIn 0.5s ease; }
|
| 376 |
.report-header {
|
|
|
|
| 398 |
.verdict.MAYBE { background: rgba(253,203,110,0.2); color: var(--warning); }
|
| 399 |
.verdict.NO_HIRE { background: rgba(225,112,85,0.2); color: var(--danger); }
|
| 400 |
|
| 401 |
+
/* Report Tabs */
|
| 402 |
+
.report-tabs {
|
| 403 |
+
display: flex;
|
| 404 |
+
flex-wrap: wrap;
|
| 405 |
+
gap: 0.4rem;
|
| 406 |
+
margin-bottom: 1.5rem;
|
| 407 |
+
}
|
| 408 |
+
.report-tab {
|
| 409 |
+
padding: 0.5rem 1rem;
|
| 410 |
+
background: var(--bg-card);
|
| 411 |
+
border: 1px solid var(--border);
|
| 412 |
+
border-radius: 10px;
|
| 413 |
+
color: var(--text-dim);
|
| 414 |
+
cursor: pointer;
|
| 415 |
+
font-size: 0.85rem;
|
| 416 |
+
font-weight: 500;
|
| 417 |
+
transition: all 0.2s;
|
| 418 |
+
}
|
| 419 |
+
.report-tab:hover { border-color: var(--accent); color: var(--text); }
|
| 420 |
+
.report-tab.active {
|
| 421 |
+
background: var(--accent);
|
| 422 |
+
border-color: var(--accent);
|
| 423 |
+
color: white;
|
| 424 |
+
font-weight: 600;
|
| 425 |
+
}
|
| 426 |
+
|
| 427 |
+
.report-tab-content { min-height: 150px; }
|
| 428 |
+
|
| 429 |
.report-card {
|
| 430 |
background: var(--bg-card);
|
| 431 |
border-radius: 16px;
|
|
|
|
| 436 |
.report-card ul { list-style: none; padding: 0; }
|
| 437 |
.report-card li { padding: 0.4rem 0; padding-left: 1.5rem; position: relative; color: var(--text-dim); }
|
| 438 |
.report-card li::before { position: absolute; left: 0; }
|
| 439 |
+
.report-card.strengths li::before { content: "\2713"; color: var(--success); font-weight: bold; }
|
| 440 |
+
.report-card.improve li::before { content: "\2192"; color: var(--warning); }
|
| 441 |
|
| 442 |
.report-summary { color: var(--text-dim); line-height: 1.6; margin-top: 0.5rem; }
|
| 443 |
.readiness { text-align: center; margin-top: 0.8rem; font-size: 1.1rem; }
|
| 444 |
+
.section-desc { color: var(--text-dim); font-size: 0.85rem; margin-bottom: 1rem; }
|
| 445 |
+
|
| 446 |
+
/* Communication Profile */
|
| 447 |
+
.comm-scores { margin-top: 0.5rem; }
|
| 448 |
+
|
| 449 |
+
/* Patterns */
|
| 450 |
+
.pattern-trajectory {
|
| 451 |
+
display: flex;
|
| 452 |
+
align-items: center;
|
| 453 |
+
gap: 0.8rem;
|
| 454 |
+
margin-bottom: 1.2rem;
|
| 455 |
+
padding: 0.8rem 1rem;
|
| 456 |
+
background: var(--bg);
|
| 457 |
+
border-radius: 10px;
|
| 458 |
+
}
|
| 459 |
+
.trajectory-label { color: var(--text-dim); font-size: 0.9rem; }
|
| 460 |
+
.trajectory-value {
|
| 461 |
+
font-weight: 700;
|
| 462 |
+
font-size: 0.95rem;
|
| 463 |
+
padding: 0.2rem 0.8rem;
|
| 464 |
+
border-radius: 12px;
|
| 465 |
+
}
|
| 466 |
+
.trajectory-improving { background: rgba(0,184,148,0.15); color: var(--success); }
|
| 467 |
+
.trajectory-stable { background: rgba(253,203,110,0.15); color: var(--warning); }
|
| 468 |
+
.trajectory-declining { background: rgba(225,112,85,0.15); color: var(--danger); }
|
| 469 |
+
|
| 470 |
+
.pattern-section { margin-bottom: 1rem; }
|
| 471 |
+
.pattern-section h4 { font-size: 0.9rem; margin-bottom: 0.4rem; color: var(--text); }
|
| 472 |
+
.pattern-list { list-style: none; padding: 0; }
|
| 473 |
+
.pattern-list li {
|
| 474 |
+
padding: 0.35rem 0;
|
| 475 |
+
padding-left: 1.3rem;
|
| 476 |
+
position: relative;
|
| 477 |
+
color: var(--text-dim);
|
| 478 |
+
font-size: 0.9rem;
|
| 479 |
+
}
|
| 480 |
+
.pattern-list li::before { position: absolute; left: 0; }
|
| 481 |
+
.pattern-strengths li::before { content: "\2713"; color: var(--success); font-weight: bold; }
|
| 482 |
+
.pattern-weaknesses li::before { content: "\2717"; color: var(--danger); }
|
| 483 |
+
|
| 484 |
+
/* Action Plan */
|
| 485 |
+
.action-plan { }
|
| 486 |
+
.action-item {
|
| 487 |
+
padding: 1rem;
|
| 488 |
+
margin-bottom: 0.8rem;
|
| 489 |
+
background: var(--bg);
|
| 490 |
+
border-radius: 10px;
|
| 491 |
+
border-left: 4px solid var(--border);
|
| 492 |
+
}
|
| 493 |
+
.action-header {
|
| 494 |
+
display: flex;
|
| 495 |
+
align-items: center;
|
| 496 |
+
gap: 0.8rem;
|
| 497 |
+
margin-bottom: 0.5rem;
|
| 498 |
+
}
|
| 499 |
+
.priority-badge {
|
| 500 |
+
font-size: 0.7rem;
|
| 501 |
+
padding: 0.15rem 0.6rem;
|
| 502 |
+
border-radius: 10px;
|
| 503 |
+
font-weight: 700;
|
| 504 |
+
letter-spacing: 0.5px;
|
| 505 |
+
}
|
| 506 |
+
.priority-high { background: rgba(225,112,85,0.2); color: var(--danger); }
|
| 507 |
+
.priority-medium { background: rgba(253,203,110,0.2); color: var(--warning); }
|
| 508 |
+
.priority-low { background: rgba(0,184,148,0.15); color: var(--success); }
|
| 509 |
+
.action-timeframe { color: var(--text-dim); font-size: 0.8rem; }
|
| 510 |
+
.action-text { color: var(--text-dim); font-size: 0.9rem; line-height: 1.5; }
|
| 511 |
+
|
| 512 |
+
/* Q&A Breakdown */
|
| 513 |
+
.qa-breakdown-item {
|
| 514 |
+
padding: 1rem 0;
|
| 515 |
+
border-bottom: 1px solid var(--border);
|
| 516 |
+
}
|
| 517 |
+
.qa-breakdown-item:last-child { border-bottom: none; }
|
| 518 |
+
.qa-question { font-weight: 600; margin-bottom: 0.3rem; font-size: 0.95rem; }
|
| 519 |
+
.qa-answer { color: var(--text-dim); font-size: 0.85rem; margin-bottom: 0.3rem; }
|
| 520 |
+
.qa-score-line { font-size: 0.85rem; color: var(--text-dim); }
|
| 521 |
+
.qa-score { font-weight: 700; }
|
| 522 |
+
.qa-score.good { color: var(--success); }
|
| 523 |
+
.qa-score.ok { color: var(--warning); }
|
| 524 |
+
.qa-score.bad { color: var(--danger); }
|
| 525 |
+
|
| 526 |
+
/* Tips */
|
| 527 |
+
.tips-list { list-style: none; padding: 0; }
|
| 528 |
+
.tips-list li {
|
| 529 |
+
padding: 0.7rem 1rem;
|
| 530 |
+
padding-left: 2rem;
|
| 531 |
+
position: relative;
|
| 532 |
+
color: var(--text-dim);
|
| 533 |
+
font-size: 0.9rem;
|
| 534 |
+
line-height: 1.5;
|
| 535 |
+
margin-bottom: 0.4rem;
|
| 536 |
+
background: rgba(108, 92, 231, 0.05);
|
| 537 |
+
border-radius: 8px;
|
| 538 |
+
}
|
| 539 |
+
.tips-list li::before {
|
| 540 |
+
content: "\2605";
|
| 541 |
+
position: absolute;
|
| 542 |
+
left: 0.8rem;
|
| 543 |
+
color: var(--accent-light);
|
| 544 |
+
}
|
| 545 |
|
| 546 |
.btn-secondary {
|
| 547 |
display: block;
|
|
|
|
| 571 |
@media (max-width: 600px) {
|
| 572 |
.form-row { grid-template-columns: 1fr; }
|
| 573 |
.header h1 { font-size: 1.6rem; }
|
| 574 |
+
.eval-tabs, .report-tabs { gap: 0.3rem; }
|
| 575 |
+
.eval-tab, .report-tab { font-size: 0.72rem; padding: 0.3rem 0.5rem; }
|
| 576 |
+
.score-bar-label { width: 100px; font-size: 0.78rem; }
|
| 577 |
+
.star-item-header { flex-wrap: wrap; }
|
| 578 |
}
|