Initial commit

2026-03-05 00:20:25 +01:00
commit dcd4de9945
1954 changed files with 669380 additions and 0 deletions
--- a/test_summary_dashboard.py
+++ b/test_summary_dashboard.py
@@ -0,0 +1,142 @@
+#!/usr/bin/env python3
+"""
+Test simple du tableau de bord résumé
+"""
+
+import sys
+from datetime import datetime
+from PyQt5.QtWidgets import QApplication
+
+# Ajouter le chemin du module
+sys.path.insert(0, 'geniusia2')
+
+from gui.dialogs.summary_dashboard import SummaryDashboard
+
+
+def test_dashboard_basic():
+    """Test basique du tableau de bord"""
+    print("Test du tableau de bord résumé")
+    print("=" * 50)
+    
+    app = QApplication(sys.argv)
+    
+    # Créer le tableau de bord
+    dashboard = SummaryDashboard()
+    
+    print("✓ Tableau de bord créé")
+    
+    # Ajouter des données de test
+    test_tasks = [
+        {
+            "task_id": "ouvrir_facture_001",
+            "task_name": "Ouvrir Facture",
+            "mode": "auto",
+            "confidence_score": 0.97,
+            "observation_count": 45,
+            "concordance_rate": 0.98,
+            "correction_count": 1,
+            "correction_rate": 0.022,
+            "last_execution": datetime.now().isoformat()
+        },
+        {
+            "task_id": "valider_commande_002",
+            "task_name": "Valider Commande",
+            "mode": "assist",
+            "confidence_score": 0.89,
+            "observation_count": 12,
+            "concordance_rate": 0.92,
+            "correction_count": 2,
+            "correction_rate": 0.167,
+            "last_execution": datetime.now().isoformat()
+        },
+        {
+            "task_id": "saisie_client_003",
+            "task_name": "Saisie Données Client",
+            "mode": "shadow",
+            "confidence_score": 0.65,
+            "observation_count": 3,
+            "concordance_rate": 0.67,
+            "correction_count": 0,
+            "correction_rate": 0.0,
+            "last_execution": datetime.now().isoformat()
+        },
+        {
+            "task_id": "export_rapport_004",
+            "task_name": "Export Rapport Mensuel",
+            "mode": "auto",
+            "confidence_score": 0.96,
+            "observation_count": 32,
+            "concordance_rate": 0.97,
+            "correction_count": 1,
+            "correction_rate": 0.031,
+            "last_execution": datetime.now().isoformat()
+        },
+        {
+            "task_id": "envoi_email_005",
+            "task_name": "Envoi Email Confirmation",
+            "mode": "assist",
+            "confidence_score": 0.88,
+            "observation_count": 8,
+            "concordance_rate": 0.88,
+            "correction_count": 1,
+            "correction_rate": 0.125,
+            "last_execution": datetime.now().isoformat()
+        }
+    ]
+    
+    print(f"✓ Ajout de {len(test_tasks)} tâches de test")
+    
+    for task in test_tasks:
+        dashboard.update_metrics(task["task_id"], task)
+    
+    print("✓ Métriques mises à jour")
+    
+    # Vérifier que le tableau contient les bonnes données
+    assert dashboard.tasks_table.rowCount() == len(test_tasks), \
+        f"Nombre de lignes incorrect: {dashboard.tasks_table.rowCount()} != {len(test_tasks)}"
+    
+    print(f"✓ Tableau contient {dashboard.tasks_table.rowCount()} lignes")
+    
+    # Vérifier les statistiques globales
+    print("\nStatistiques globales:")
+    print(f"  - {dashboard.total_tasks_label.text()}")
+    print(f"  - {dashboard.shadow_tasks_label.text()}")
+    print(f"  - {dashboard.assist_tasks_label.text()}")
+    print(f"  - {dashboard.auto_tasks_label.text()}")
+    
+    # Test du filtrage
+    print("\nTest du filtrage par mode...")
+    dashboard.mode_filter.setCurrentText("Autopilot")
+    filtered_count = dashboard.tasks_table.rowCount()
+    print(f"✓ Filtre Autopilot: {filtered_count} tâches")
+    
+    dashboard.mode_filter.setCurrentText("Assisté")
+    filtered_count = dashboard.tasks_table.rowCount()
+    print(f"✓ Filtre Assisté: {filtered_count} tâches")
+    
+    dashboard.mode_filter.setCurrentText("Shadow")
+    filtered_count = dashboard.tasks_table.rowCount()
+    print(f"✓ Filtre Shadow: {filtered_count} tâches")
+    
+    dashboard.mode_filter.setCurrentText("Tous")
+    
+    # Test de la recherche
+    print("\nTest de la recherche...")
+    dashboard.search_input.setText("facture")
+    search_count = dashboard.tasks_table.rowCount()
+    print(f"✓ Recherche 'facture': {search_count} tâche(s)")
+    
+    dashboard.search_input.clear()
+    
+    print("\n" + "=" * 50)
+    print("✓ Tous les tests basiques réussis!")
+    print("\nAffichage du tableau de bord...")
+    print("(Fermez la fenêtre pour terminer le test)")
+    
+    dashboard.show()
+    
+    return app.exec_()
+
+
+if __name__ == "__main__":
+    sys.exit(test_dashboard_basic())