feat(dashboard): page Base de connaissances — métriques FAISS, sessions, patterns

Nouvelle page /knowledge-base avec :
- Mémoire visuelle : 331 vecteurs FAISS / 13666 embeddings (alerte consolidation)
- Sessions observées : 56 sessions, 6.66 Go, 3 machines
- Réflexes natifs : 16 patterns UI en 6 catégories
- Workflows appris : 29

Onglet 📚 Connaissances ajouté dans toute la navigation.
Tout en français, dark theme, zéro jargon.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

web_dashboard/app.py

@@ -2445,6 +2445,170 @@ def proxy_audit(endpoint):
         return jsonify({'error': str(e)}), 500
 
 
+# =============================================================================
+# Base de connaissances — État mémoire et apprentissages
+# =============================================================================
+
+@app.route('/knowledge-base')
+def knowledge_base_page():
+    """Page Base de connaissances."""
+    return render_template('knowledge_base.html')
+
+
+@app.route('/api/knowledge-base/stats')
+def knowledge_base_stats():
+    """Retourne toutes les métriques de la base de connaissances en JSON."""
+    import glob as glob_module
+
+    result = {
+        'faiss': _kb_faiss_stats(),
+        'sessions': _kb_sessions_stats(),
+        'patterns': _kb_patterns_stats(),
+        'workflows': _kb_workflows_stats(),
+    }
+    return jsonify(result)
+
+
+def _kb_faiss_stats() -> dict:
+    """Statistiques de l'index FAISS."""
+    faiss_index_path = DATA_PATH / "faiss_index" / "main.index"
+    embeddings_dir = LIVE_SESSIONS_PATH / "embeddings"
+
+    vectors_indexed = 0
+    index_size_mb = "0 Mo"
+    available = False
+
+    if faiss_index_path.exists():
+        # Taille fichier
+        size_bytes = faiss_index_path.stat().st_size
+        index_size_mb = f"{size_bytes / (1024 * 1024):.1f} Mo"
+
+        # Nombre de vecteurs via faiss
+        try:
+            import faiss
+            index = faiss.read_index(str(faiss_index_path))
+            vectors_indexed = index.ntotal
+            available = True
+        except ImportError:
+            # FAISS non installé — lire le metadata si dispo
+            metadata_path = DATA_PATH / "faiss_index" / "main.metadata"
+            if metadata_path.exists():
+                try:
+                    meta = json.loads(metadata_path.read_text())
+                    vectors_indexed = meta.get('ntotal', 0)
+                    available = True
+                except Exception:
+                    pass
+        except Exception:
+            pass
+    else:
+        available = False
+
+    # Compter les embeddings (.npy)
+    embeddings_computed = 0
+    if embeddings_dir.exists():
+        embeddings_computed = len(list(embeddings_dir.glob("*.npy")))
+
+    return {
+        'vectors_indexed': vectors_indexed,
+        'embeddings_computed': embeddings_computed,
+        'index_size_mb': index_size_mb,
+        'available': available,
+    }
+
+
+def _kb_sessions_stats() -> dict:
+    """Statistiques des sessions shadow."""
+    machines = []
+    total_sessions = 0
+    total_bytes = 0
+
+    if LIVE_SESSIONS_PATH.exists():
+        for d in sorted(LIVE_SESSIONS_PATH.iterdir()):
+            if not d.is_dir():
+                continue
+            # Ignorer le dossier embeddings
+            if d.name == 'embeddings':
+                continue
+
+            # Dossiers machines (contiennent des sess_*)
+            if d.name.startswith('sess_'):
+                # Session orpheline à la racine
+                total_sessions += 1
+                total_bytes += _dir_size(d)
+            else:
+                # Dossier machine
+                sess_dirs = [s for s in d.iterdir() if s.is_dir() and s.name.startswith('sess_')]
+                count = len(sess_dirs)
+                total_sessions += count
+
+                # Dernière activité
+                last_activity = None
+                if sess_dirs:
+                    latest = max(sess_dirs, key=lambda s: s.stat().st_mtime)
+                    last_activity = datetime.fromtimestamp(latest.stat().st_mtime).strftime('%Y-%m-%d %H:%M')
+
+                machine_bytes = _dir_size(d)
+                total_bytes += machine_bytes
+
+                if count > 0:
+                    machines.append({
+                        'machine_id': d.name,
+                        'session_count': count,
+                        'last_activity': last_activity,
+                    })
+
+    # Volume total
+    if total_bytes >= 1024 * 1024 * 1024:
+        total_volume = f"{total_bytes / (1024**3):.2f} Go"
+    elif total_bytes >= 1024 * 1024:
+        total_volume = f"{total_bytes / (1024**2):.1f} Mo"
+    else:
+        total_volume = f"{total_bytes / 1024:.0f} Ko"
+
+    return {
+        'total_sessions': total_sessions,
+        'total_volume': total_volume,
+        'machines': machines,
+    }
+
+
+def _kb_patterns_stats() -> dict:
+    """Statistiques des patterns UI natifs."""
+    try:
+        from core.knowledge.ui_patterns import UIPatternLibrary
+        lib = UIPatternLibrary()
+        stats = lib.stats
+        return {
+            'total': stats.get('total', 0),
+            'by_category': stats.get('by_category', {}),
+        }
+    except Exception:
+        return {'total': 0, 'by_category': {}}
+
+
+def _kb_workflows_stats() -> dict:
+    """Statistiques des workflows appris."""
+    total = 0
+    workflows_path = DATA_PATH / "workflows"
+    if workflows_path.exists():
+        # Compter récursivement les .json
+        total = len(list(workflows_path.rglob("*.json")))
+    return {'total': total}
+
+
+def _dir_size(path: Path) -> int:
+    """Calcule la taille totale d'un dossier (non récursif profond pour la perf)."""
+    total = 0
+    try:
+        for f in path.rglob('*'):
+            if f.is_file():
+                total += f.stat().st_size
+    except (PermissionError, OSError):
+        pass
+    return total
+
+
 # =============================================================================
 # Main
 # =============================================================================

web_dashboard/templates/audit.html

@@ -175,6 +175,7 @@
         <a href="/">&#x1F39B;&#xFE0F; Dashboard</a>
         <a href="/audit" class="active">&#x2696;&#xFE0F; Audit</a>
         <a href="/process-mining">&#x1F5FA;&#xFE0F; Cartographie</a>
+        <a href="/knowledge-base">&#x1F4DA; Connaissances</a>
     </nav>
 </div>
 

web_dashboard/templates/index.html

@@ -65,6 +65,7 @@
         <div class="tab" onclick="switchTab('config')">🔧 Configuration</div>
         <div class="tab" onclick="switchTab('cleaner')">🧹 Nettoyage</div>
         <a class="tab" href="/process-mining" style="text-decoration:none;color:#94a3b8;">🗺️ Cartographie</a>
+        <a class="tab" href="/knowledge-base" style="text-decoration:none;color:#94a3b8;">📚 Connaissances</a>
     </div>
     
     <div class="container">

web_dashboard/templates/knowledge_base.html

@@ -0,0 +1,294 @@
+<!DOCTYPE html>
+<html lang="fr">
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>RPA Vision V3 - Base de connaissances</title>
+    <style>
+        /* === Reset & base — identique au dashboard === */
+        * { margin: 0; padding: 0; box-sizing: border-box; }
+        body { font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; background: #0f172a; color: #e2e8f0; min-height: 100vh; }
+
+        /* === Header === */
+        .header { background: linear-gradient(135deg, #3b82f6 0%, #8b5cf6 100%); color: white; padding: 20px 30px; display: flex; justify-content: space-between; align-items: center; flex-wrap: wrap; gap: 15px; }
+        .header h1 { font-size: 24px; display: flex; align-items: center; gap: 10px; }
+        .header-subtitle { color: rgba(255,255,255,0.75); font-size: 13px; margin-top: 4px; }
+        .header-nav { display: flex; align-items: center; gap: 8px; }
+        .header-nav a {
+            color: rgba(255,255,255,0.8); text-decoration: none; font-size: 13px;
+            padding: 6px 14px; border-radius: 6px; transition: all 0.2s;
+            background: rgba(255,255,255,0.1);
+        }
+        .header-nav a:hover { background: rgba(255,255,255,0.2); }
+        .header-nav a.active { background: rgba(255,255,255,0.25); color: #fff; font-weight: 600; }
+
+        /* === Layout === */
+        .container { max-width: 1600px; margin: 0 auto; padding: 20px; }
+
+        /* === Cards === */
+        .card { background: #1e293b; border-radius: 12px; padding: 20px; border: 1px solid #334155; margin-bottom: 20px; }
+        .card h2 { font-size: 16px; margin-bottom: 15px; color: #94a3b8; display: flex; align-items: center; gap: 8px; }
+
+        /* === Grille indicateurs === */
+        .grid-3 { display: grid; grid-template-columns: repeat(3, 1fr); gap: 20px; margin-bottom: 20px; }
+        .grid-4 { display: grid; grid-template-columns: repeat(4, 1fr); gap: 20px; margin-bottom: 20px; }
+        @media (max-width: 900px) { .grid-3, .grid-4 { grid-template-columns: repeat(2, 1fr); } }
+        @media (max-width: 500px) { .grid-3, .grid-4 { grid-template-columns: 1fr; } }
+        .stat-card { text-align: center; }
+        .stat-value { font-size: 36px; font-weight: bold; color: #3b82f6; }
+        .stat-value.warning { color: #f59e0b; }
+        .stat-value.success { color: #22c55e; }
+        .stat-label { font-size: 12px; color: #64748b; margin-top: 5px; text-transform: uppercase; }
+
+        /* === Section title === */
+        .section-title {
+            font-size: 18px; font-weight: 600; color: #e2e8f0;
+            margin-bottom: 15px; display: flex; align-items: center; gap: 10px;
+            padding-bottom: 10px; border-bottom: 1px solid #334155;
+        }
+        .section-title .icon { font-size: 22px; }
+
+        /* === Alertes === */
+        .alert {
+            padding: 12px 16px; border-radius: 8px; font-size: 13px;
+            margin-bottom: 15px; display: flex; align-items: center; gap: 10px;
+        }
+        .alert-warning {
+            background: #78350f; color: #fcd34d; border: 1px solid #92400e;
+        }
+        .alert-info {
+            background: #1e3a5f; color: #93c5fd; border: 1px solid #1e40af;
+        }
+        .alert-success {
+            background: #064e3b; color: #6ee7b7; border: 1px solid #065f46;
+        }
+
+        /* === Tableau === */
+        .table-wrapper { overflow-x: auto; margin-top: 15px; }
+        .kb-table { width: 100%; border-collapse: collapse; font-size: 13px; }
+        .kb-table thead th {
+            background: #334155; color: #94a3b8; padding: 12px 10px;
+            text-align: left; font-weight: 600; font-size: 11px;
+            text-transform: uppercase; letter-spacing: 0.5px;
+            white-space: nowrap;
+        }
+        .kb-table tbody tr { border-bottom: 1px solid #1e293b; transition: background 0.15s; }
+        .kb-table tbody tr:hover { background: #334155; }
+        .kb-table td { padding: 10px; vertical-align: middle; }
+
+        /* === Badges catégories === */
+        .category-list { list-style: none; padding: 0; display: flex; flex-wrap: wrap; gap: 10px; }
+        .category-item {
+            display: inline-flex; align-items: center; gap: 8px;
+            padding: 8px 14px; background: #0f172a; border-radius: 8px;
+            border: 1px solid #334155; font-size: 13px;
+        }
+        .category-count {
+            background: #3b82f6; color: white; border-radius: 50%;
+            width: 24px; height: 24px; display: flex; align-items: center;
+            justify-content: center; font-size: 11px; font-weight: 700;
+        }
+
+        /* === Loading === */
+        .loading {
+            text-align: center; padding: 40px; color: #64748b; font-size: 14px;
+        }
+        .loading::after {
+            content: ''; display: inline-block; width: 20px; height: 20px;
+            border: 2px solid #334155; border-top-color: #3b82f6;
+            border-radius: 50%; animation: spin 0.8s linear infinite;
+            margin-left: 10px; vertical-align: middle;
+        }
+        @keyframes spin { to { transform: rotate(360deg); } }
+    </style>
+</head>
+<body>
+
+<!-- Header -->
+<div class="header">
+    <div>
+        <h1>&#x1F4DA; Base de connaissances</h1>
+        <div class="header-subtitle">État de la mémoire et des apprentissages de Léa</div>
+    </div>
+    <nav class="header-nav">
+        <a href="/">&#x1F39B;&#xFE0F; Dashboard</a>
+        <a href="/audit">&#x2696;&#xFE0F; Audit</a>
+        <a href="/process-mining">&#x1F5FA;&#xFE0F; Cartographie</a>
+        <a href="/knowledge-base" class="active">&#x1F4DA; Connaissances</a>
+    </nav>
+</div>
+
+<div class="container">
+
+    <!-- Section 1 : Mémoire visuelle (FAISS) -->
+    <div class="section-title"><span class="icon">&#x1F9E0;</span> Mémoire visuelle</div>
+
+    <div class="grid-3" id="faissGrid">
+        <div class="card stat-card">
+            <div class="stat-value" id="faissVectors">--</div>
+            <div class="stat-label">Vecteurs indexés</div>
+        </div>
+        <div class="card stat-card">
+            <div class="stat-value" id="faissEmbeddings">--</div>
+            <div class="stat-label">Embeddings calculés</div>
+        </div>
+        <div class="card stat-card">
+            <div class="stat-value" id="faissSize">--</div>
+            <div class="stat-label">Taille de l'index</div>
+        </div>
+    </div>
+
+    <div id="faissAlert" style="display:none;"></div>
+
+    <!-- Section 2 : Sessions observées -->
+    <div class="section-title"><span class="icon">&#x1F441;&#xFE0F;</span> Sessions observées</div>
+
+    <div class="grid-3" id="sessionsGrid">
+        <div class="card stat-card">
+            <div class="stat-value" id="sessionCount">--</div>
+            <div class="stat-label">Sessions totales</div>
+        </div>
+        <div class="card stat-card">
+            <div class="stat-value" id="sessionVolume">--</div>
+            <div class="stat-label">Volume de données</div>
+        </div>
+        <div class="card stat-card">
+            <div class="stat-value" id="machineCount">--</div>
+            <div class="stat-label">Machines distinctes</div>
+        </div>
+    </div>
+
+    <div class="card" id="machinesCard">
+        <h2><span class="icon">&#x1F5A5;&#xFE0F;</span> Répartition par machine</h2>
+        <div class="table-wrapper">
+            <table class="kb-table">
+                <thead>
+                    <tr>
+                        <th>Machine</th>
+                        <th>Sessions</th>
+                        <th>Dernière activité</th>
+                    </tr>
+                </thead>
+                <tbody id="machinesTableBody">
+                    <tr><td colspan="3" class="loading">Chargement...</td></tr>
+                </tbody>
+            </table>
+        </div>
+    </div>
+
+    <!-- Section 3 : Réflexes natifs (patterns UI) -->
+    <div class="section-title"><span class="icon">&#x26A1;</span> Réflexes natifs</div>
+
+    <div class="grid-3" id="patternsGrid">
+        <div class="card stat-card" style="grid-column: span 1;">
+            <div class="stat-value success" id="patternTotal">--</div>
+            <div class="stat-label">Patterns connus</div>
+        </div>
+    </div>
+
+    <div class="card" id="patternsCard">
+        <h2><span class="icon">&#x1F3AF;</span> Par catégorie</h2>
+        <ul class="category-list" id="categoryList">
+            <li class="loading">Chargement...</li>
+        </ul>
+    </div>
+
+    <!-- Section 4 : Workflows -->
+    <div class="section-title"><span class="icon">&#x1F504;</span> Workflows</div>
+
+    <div class="grid-3" id="workflowsGrid">
+        <div class="card stat-card">
+            <div class="stat-value" id="workflowCount">--</div>
+            <div class="stat-label">Workflows appris</div>
+        </div>
+    </div>
+
+</div>
+
+<script>
+document.addEventListener('DOMContentLoaded', loadKnowledgeBase);
+
+async function loadKnowledgeBase() {
+    try {
+        const resp = await fetch('/api/knowledge-base/stats');
+        if (!resp.ok) throw new Error(`HTTP ${resp.status}`);
+        const data = await resp.json();
+        renderFaiss(data.faiss);
+        renderSessions(data.sessions);
+        renderPatterns(data.patterns);
+        renderWorkflows(data.workflows);
+    } catch (err) {
+        console.error('Erreur chargement base de connaissances:', err);
+    }
+}
+
+function renderFaiss(faiss) {
+    document.getElementById('faissVectors').textContent = faiss.vectors_indexed.toLocaleString('fr-FR');
+    document.getElementById('faissEmbeddings').textContent = faiss.embeddings_computed.toLocaleString('fr-FR');
+    document.getElementById('faissSize').textContent = faiss.index_size_mb;
+
+    // Alerte si embeddings non consolidés
+    const diff = faiss.embeddings_computed - faiss.vectors_indexed;
+    const alertEl = document.getElementById('faissAlert');
+    if (diff > 10) {
+        alertEl.style.display = 'block';
+        alertEl.innerHTML = `<div class="alert alert-warning">&#x26A0;&#xFE0F; ${diff.toLocaleString('fr-FR')} embeddings non consolidés dans l'index FAISS</div>`;
+    } else if (faiss.vectors_indexed === 0 && !faiss.available) {
+        alertEl.style.display = 'block';
+        alertEl.innerHTML = `<div class="alert alert-info">&#x2139;&#xFE0F; FAISS non disponible sur ce système</div>`;
+    } else {
+        alertEl.style.display = 'none';
+    }
+}
+
+function renderSessions(sessions) {
+    document.getElementById('sessionCount').textContent = sessions.total_sessions.toLocaleString('fr-FR');
+    document.getElementById('sessionVolume').textContent = sessions.total_volume;
+    document.getElementById('machineCount').textContent = sessions.machines.length.toLocaleString('fr-FR');
+
+    const tbody = document.getElementById('machinesTableBody');
+    if (sessions.machines.length === 0) {
+        tbody.innerHTML = '<tr><td colspan="3" style="color:#64748b;text-align:center;padding:20px;">Aucune session enregistrée</td></tr>';
+        return;
+    }
+    tbody.innerHTML = sessions.machines.map(m => `
+        <tr>
+            <td><strong>${escapeHtml(m.machine_id)}</strong></td>
+            <td>${m.session_count}</td>
+            <td style="color:#94a3b8;font-size:12px;">${m.last_activity || '—'}</td>
+        </tr>
+    `).join('');
+}
+
+function renderPatterns(patterns) {
+    document.getElementById('patternTotal').textContent = patterns.total.toLocaleString('fr-FR');
+
+    const list = document.getElementById('categoryList');
+    const cats = patterns.by_category;
+    if (!cats || Object.keys(cats).length === 0) {
+        list.innerHTML = '<li style="color:#64748b;">Aucun pattern chargé</li>';
+        return;
+    }
+    list.innerHTML = Object.entries(cats)
+        .sort((a, b) => b[1] - a[1])
+        .map(([cat, count]) => `
+            <li class="category-item">
+                <span class="category-count">${count}</span>
+                <span>${escapeHtml(cat)}</span>
+            </li>
+        `).join('');
+}
+
+function renderWorkflows(workflows) {
+    document.getElementById('workflowCount').textContent = workflows.total.toLocaleString('fr-FR');
+}
+
+function escapeHtml(text) {
+    const div = document.createElement('div');
+    div.appendChild(document.createTextNode(text));
+    return div.innerHTML;
+}
+</script>
+
+</body>
+</html>

web_dashboard/templates/process_mining.html

@@ -148,6 +148,7 @@
         <a href="/">&#x1F39B;&#xFE0F; Dashboard</a>
         <a href="/audit">&#x2696;&#xFE0F; Audit</a>
         <a href="/process-mining" class="active">&#x1F5FA;&#xFE0F; Cartographie</a>
+        <a href="/knowledge-base">&#x1F4DA; Connaissances</a>
     </nav>
 </div>