StillHammer
4f60de68d6
- Fix BatchProcessor constructor to avoid server blocking during startup - Add comprehensive integration tests for all modular combinations - Enhance CLAUDE.md documentation with new test commands - Update SelectiveLayers configuration for better LLM allocation - Add AutoReporter system for test automation - Include production workflow validation tests 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
281 lines
15 KiB
HTML
281 lines
15 KiB
HTML
<!DOCTYPE html>
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<html>
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<head>
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<title>Auto-Rapport TI - 9/16/2025, 11:13:32 PM</title>
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<style>
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body { font-family: Arial, sans-serif; margin: 20px; background: #f5f5f5; }
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.container { max-width: 1000px; margin: 0 auto; }
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.header { background: white; padding: 20px; border-radius: 8px; margin-bottom: 20px; box-shadow: 0 2px 4px rgba(0,0,0,0.1); }
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.stats { display: grid; grid-template-columns: repeat(auto-fit, minmax(150px, 1fr)); gap: 15px; margin-bottom: 20px; }
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.stat-card { background: white; padding: 15px; border-radius: 8px; text-align: center; box-shadow: 0 2px 4px rgba(0,0,0,0.1); }
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.stat-value { font-size: 1.8em; font-weight: bold; color: #2196F3; }
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.stat-label { color: #666; margin-top: 5px; font-size: 14px; }
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.test-list { background: white; padding: 20px; border-radius: 8px; box-shadow: 0 2px 4px rgba(0,0,0,0.1); }
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.test-item { padding: 10px; border-bottom: 1px solid #eee; display: flex; justify-content: space-between; align-items: center; cursor: pointer; transition: background-color 0.2s; }
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.test-item:hover { background: #f8f9fa; }
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.test-item.clickable { border-left: 4px solid #4CAF50; }
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.test-status { width: 12px; height: 12px; border-radius: 50%; margin-right: 10px; }
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.status-passed { background: #4CAF50; }
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.status-failed { background: #f44336; }
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.llm-section { background: white; padding: 20px; border-radius: 8px; box-shadow: 0 2px 4px rgba(0,0,0,0.1); margin-top: 20px; }
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.llm-call { background: #f9f9f9; padding: 10px; margin: 5px 0; border-radius: 4px; display: flex; justify-content: space-between; cursor: pointer; transition: background-color 0.2s; }
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.llm-call:hover { background: #e8f4f8; }
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.llm-call.clickable { border-left: 4px solid #2196F3; }
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/* Modal styles */
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.modal { display: none; position: fixed; z-index: 1000; left: 0; top: 0; width: 100%; height: 100%; background-color: rgba(0,0,0,0.5); }
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#llmModal { z-index: 1100; } /* LLM modal au-dessus du test modal */
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.modal-content { background-color: white; margin: 5% auto; padding: 20px; border-radius: 8px; width: 90%; max-width: 800px; max-height: 80vh; overflow-y: auto; }
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.close { color: #aaa; float: right; font-size: 28px; font-weight: bold; cursor: pointer; }
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.close:hover { color: black; }
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.prompt-section, .response-section { margin: 15px 0; }
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.prompt-section h4, .response-section h4 { color: #333; border-bottom: 2px solid #2196F3; padding-bottom: 5px; }
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.prompt-content, .response-content { background: #f5f5f5; padding: 15px; border-radius: 4px; white-space: pre-wrap; font-family: monospace; font-size: 14px; max-height: 300px; overflow-y: auto; }
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.response-content { background: #f0f8ff; }
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/* Test details modal styles */
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.test-details-section { margin: 15px 0; }
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.test-details-section h4 { color: #333; border-bottom: 2px solid #4CAF50; padding-bottom: 5px; }
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.test-llm-list { background: #f8f9fa; padding: 10px; border-radius: 4px; margin-top: 10px; }
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.test-llm-item { background: white; margin: 5px 0; padding: 8px; border-radius: 3px; display: flex; justify-content: space-between; cursor: pointer; border: 1px solid #ddd; }
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.test-llm-item:hover { background: #e8f4f8; }
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.test-stats { display: grid; grid-template-columns: repeat(auto-fit, minmax(120px, 1fr)); gap: 10px; margin: 10px 0; }
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.test-stat { background: #f0f0f0; padding: 8px; border-radius: 4px; text-align: center; }
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.test-stat-value { font-weight: bold; color: #2196F3; }
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</style>
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</head>
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<body>
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<div class="container">
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<div class="header">
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<h1>📊 Auto-Rapport Tests d'Intégration</h1>
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<p>Généré automatiquement le 9/16/2025, 11:13:32 PM</p>
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</div>
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<div class="stats">
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<div class="stat-card">
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<div class="stat-value">1</div>
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<div class="stat-label">Tests</div>
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</div>
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<div class="stat-card">
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<div class="stat-value" style="color: #4CAF50">1</div>
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<div class="stat-label">Réussis</div>
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</div>
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<div class="stat-card">
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<div class="stat-value" style="color: #f44336">0</div>
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<div class="stat-label">Échoués</div>
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</div>
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<div class="stat-card">
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<div class="stat-value">1</div>
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<div class="stat-label">LLM Calls</div>
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</div>
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<div class="stat-card">
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<div class="stat-value">4s</div>
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<div class="stat-label">Durée</div>
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</div>
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</div>
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<div class="test-list">
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<h3>Résultats des Tests</h3>
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<div class="test-item clickable" onclick="openTestModal(0)">
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<div style="display: flex; align-items: center;">
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<span class="test-status status-passed"></span>
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<div>
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<div><strong>Single LLM lightEnhancement</strong></div>
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<div style="font-size: 12px; color: #666;">
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1 LLM calls • 2s durée LLM
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</div>
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</div>
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</div>
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<div style="text-align: right;">
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<div style="color: #4CAF50; font-weight: bold;">
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✓ RÉUSSI
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</div>
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<div style="font-size: 10px; color: #2196F3; margin-top: 2px;">
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🔍 Cliquer pour détails
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</div>
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</div>
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</div>
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</div>
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<div class="llm-section">
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<h3>Appels LLM (1)</h3>
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<div class="llm-call clickable" onclick="openModal(0)">
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<div>
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<strong>openai</strong> (gpt-4o-mini)
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<div style="font-size: 12px; color: #666; margin-top: 2px;">
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Test: Single LLM lightEnhancement
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</div>
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</div>
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<div style="text-align: right;">
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<div>1874ms</div>
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<div style="font-size: 12px; color: #666;">1302→168 tokens</div>
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<div style="font-size: 10px; color: #2196F3; margin-top: 2px;">📋 Cliquer pour voir détails</div>
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</div>
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</div>
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</div>
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<!-- Modal pour afficher les détails LLM -->
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<div id="llmModal" class="modal">
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<div class="modal-content">
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<span class="close" onclick="closeModal()">×</span>
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<h2 id="modalTitle">Détails de l'appel LLM</h2>
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<div class="prompt-section">
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<h4>🔍 Prompt envoyé</h4>
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<div id="promptContent" class="prompt-content">Aucun prompt capturé</div>
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</div>
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<div class="response-section">
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<h4>📥 Réponse reçue</h4>
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<div id="responseContent" class="response-content">Aucune réponse capturée</div>
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</div>
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</div>
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</div>
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<!-- Modal pour afficher les détails de test -->
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<div id="testModal" class="modal">
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<div class="modal-content">
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<span class="close" onclick="closeTestModal()">×</span>
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<h2 id="testModalTitle">Détails du test</h2>
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<div class="test-details-section">
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<h4>📊 Statistiques</h4>
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<div id="testStats" class="test-stats">
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<!-- Stats will be populated here -->
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</div>
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</div>
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<div class="test-details-section">
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<h4>🚀 Appels LLM associés</h4>
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<div id="testLLMCalls" class="test-llm-list">
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<!-- LLM calls will be listed here -->
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</div>
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</div>
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</div>
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</div>
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</div>
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<script>
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const llmCalls = [{"provider":"openai","model":"gpt-4o-mini","duration":1874,"tokens":{"prompt":1302,"response":168},"timestamp":"2025-09-16T15:13:31.653Z","testContext":"Single LLM lightEnhancement","prompt":"MISSION: Améliore UNIQUEMENT la précision technique de ces contenus.\n\nCONTEXTE: plaque métallique premium - Secteur: impression/signalétique\nPERSONNALITÉ: Marc (technique)\nINTENSITÉ: 0.7 (0.5=léger, 1.0=standard, 1.5=intensif)\n\nÉLÉMENTS À AMÉLIORER TECHNIQUEMENT:\n\n[1] TAG: Titre_H1\nCONTENU: \"Plaque basique standard normale pour amélioration technique nécessaire avec matériaux génériques\"\nAMÉLIORATIONS: ajout_termes_techniques, ajout_données_techniques\n\n\nCONSIGNES TECHNIQUES:\n- GARDE exactement le même message et ton technique\n- AJOUTE précision technique naturelle et vocabulaire spécialisé\n- INTÈGRE termes métier : matériaux, procédés, normes, dimensions\n- REMPLACE vocabulaire générique par termes techniques appropriés\n- ÉVITE jargon incompréhensible, reste accessible\n- PRESERVE longueur approximative (±15%)\n\nVOCABULAIRE TECHNIQUE RECOMMANDÉ:\n- Matériaux: dibond, aluminium anodisé, PMMA coulé, PVC expansé\n- Procédés: impression UV, gravure laser, découpe numérique, fraisage CNC \n- Finitions: brossé, poli, texturé, laqué\n- Fixations: perçage, adhésif double face, vis inox, plots de fixation\n\nFORMAT RÉPONSE:\n[1] Contenu avec amélioration technique précise\n[2] Contenu avec amélioration technique précise\netc...\n\nIMPORTANT: Réponse DIRECTE par les contenus améliorés, pas d'explication.","response":"[1] TAG: Titre_H1 \nCONTENU: \"Plaque métallique standard en dibond pour amélioration technique nécessaire avec matériaux spécifiques adaptés aux normes de signalétique\""}];
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const testResults = [{"name":"Single LLM lightEnhancement","status":"passed","duration":0,"timestamp":1758035611653,"llmCallsCount":1}];
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function openModal(index) {
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const call = llmCalls[index];
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if (!call) return;
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const modal = document.getElementById('llmModal');
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const title = document.getElementById('modalTitle');
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const promptContent = document.getElementById('promptContent');
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const responseContent = document.getElementById('responseContent');
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title.textContent = `${call.provider.toUpperCase()} (${call.model}) - ${call.testContext}`;
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promptContent.textContent = call.prompt || 'Aucun prompt capturé';
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responseContent.textContent = call.response || 'Aucune réponse capturée';
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modal.style.display = 'block';
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}
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function closeModal() {
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document.getElementById('llmModal').style.display = 'none';
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}
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function openTestModal(index) {
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const test = testResults[index];
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if (!test) return;
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const modal = document.getElementById('testModal');
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const title = document.getElementById('testModalTitle');
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const statsDiv = document.getElementById('testStats');
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const llmCallsDiv = document.getElementById('testLLMCalls');
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title.textContent = `Test: ${test.name}`;
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// Get LLM calls for this test
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const testLLMCalls = llmCalls.filter(call => call.testContext === test.name);
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const totalDuration = testLLMCalls.reduce((sum, call) => sum + call.duration, 0);
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const totalTokensIn = testLLMCalls.reduce((sum, call) => sum + (call.tokens?.prompt || 0), 0);
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const totalTokensOut = testLLMCalls.reduce((sum, call) => sum + (call.tokens?.response || 0), 0);
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// Populate stats
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statsDiv.innerHTML = `
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<div class="test-stat">
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<div class="test-stat-value">${test.status === 'passed' ? '✓' : '✗'}</div>
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<div>Statut</div>
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</div>
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<div class="test-stat">
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<div class="test-stat-value">${testLLMCalls.length}</div>
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<div>LLM Calls</div>
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</div>
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<div class="test-stat">
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<div class="test-stat-value">${Math.round(totalDuration/1000)}s</div>
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<div>Durée LLM</div>
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</div>
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<div class="test-stat">
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<div class="test-stat-value">${totalTokensIn}</div>
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<div>Tokens Input</div>
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</div>
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<div class="test-stat">
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<div class="test-stat-value">${totalTokensOut}</div>
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<div>Tokens Output</div>
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</div>
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`;
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// Populate LLM calls
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if (testLLMCalls.length > 0) {
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llmCallsDiv.innerHTML = testLLMCalls.map((call, callIndex) => {
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const globalIndex = llmCalls.findIndex(c => c === call);
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return `
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<div class="test-llm-item" onclick="openModal(${globalIndex})">
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<div>
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<strong>${call.provider.toUpperCase()}</strong> (${call.model})
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<div style="font-size: 11px; color: #666; margin-top: 2px;">
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${new Date(call.timestamp).toLocaleTimeString()}
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</div>
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</div>
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<div style="text-align: right;">
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<div>${call.duration}ms</div>
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<div style="font-size: 11px; color: #666;">
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${call.tokens?.prompt || 0}→${call.tokens?.response || 0} tokens
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</div>
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</div>
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</div>
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`;
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}).join('');
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} else {
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llmCallsDiv.innerHTML = '<div style="color: #666; text-align: center; padding: 20px;">Aucun appel LLM pour ce test</div>';
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}
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modal.style.display = 'block';
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}
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function closeTestModal() {
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document.getElementById('testModal').style.display = 'none';
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}
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// Fermer modal en cliquant à l'extérieur
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window.onclick = function(event) {
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const llmModal = document.getElementById('llmModal');
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const testModal = document.getElementById('testModal');
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if (event.target === llmModal) {
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closeModal();
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}
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if (event.target === testModal) {
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closeTestModal();
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}
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}
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// Fermer modal avec Escape
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document.addEventListener('keydown', function(event) {
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if (event.key === 'Escape') {
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closeModal();
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closeTestModal();
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}
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});
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</script>
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</body>
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</html> |