a27b74cf22
- Frontend v4 accessible sur réseau local (192.168.1.40) - Ports ouverts: 3002 (frontend), 5001 (backend), 5004 (dashboard) - Ollama GPU fonctionnel - Self-healing interactif - Dashboard confiance Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
665 lines
25 KiB
Python
Executable File
665 lines
25 KiB
Python
Executable File
#!/usr/bin/env python3
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"""
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Test Complet et Réel du Système de Détection UI
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Ce test vérifie l'intégration complète avec de vraies données :
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- Utilise de vrais composants (pas de mocks)
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- Teste avec des screenshots réalistes
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- Valide les performances en conditions réelles
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- Vérifie l'intégration end-to-end
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Composants testés :
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- UIDetector avec vraie détection OpenCV
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- OllamaClient avec vrai modèle VLM
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- FusionEngine avec vrais embeddings
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- FAISSManager avec vraie recherche
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- StorageManager avec vraie persistence
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"""
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import sys
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import os
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import tempfile
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import shutil
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from pathlib import Path
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import time
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import json
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import numpy as np
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sys.path.insert(0, str(Path(__file__).parent.parent))
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from core.detection.ui_detector import UIDetector, DetectionConfig, create_detector
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from core.detection.ollama_client import check_ollama_available, OllamaClient
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from core.embedding.fusion_engine import FusionEngine
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from core.embedding.faiss_manager import FAISSManager
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from core.persistence.storage_manager import StorageManager
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from core.models.ui_element import UIElement
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from core.models.screen_state import ScreenState
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from PIL import Image, ImageDraw, ImageFont
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def create_real_world_screenshot():
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"""Créer un screenshot réaliste d'une application"""
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print("\n📸 Création d'un screenshot réaliste...")
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img = Image.new('RGB', (1000, 700), color='#f5f5f5')
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draw = ImageDraw.Draw(img)
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try:
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font_title = ImageFont.truetype("/usr/share/fonts/truetype/dejavu/DejaVuSans-Bold.ttf", 18)
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font_normal = ImageFont.truetype("/usr/share/fonts/truetype/dejavu/DejaVuSans.ttf", 14)
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except:
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font_title = ImageFont.load_default()
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font_normal = ImageFont.load_default()
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# Header
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draw.rectangle([0, 0, 1000, 60], fill='#2196F3')
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draw.text((20, 20), "Task Manager Pro", fill='white', font=font_title)
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# Sidebar
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draw.rectangle([0, 60, 200, 700], fill='#263238')
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sidebar_items = [
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("Dashboard", 100),
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("Tasks", 150),
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("Projects", 200),
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("Team", 250),
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("Settings", 300)
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]
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for item, y in sidebar_items:
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draw.rectangle([10, y, 190, y + 35], fill='#37474F', outline='#455A64', width=1)
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draw.text((20, y + 8), item, fill='white', font=font_normal)
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# Main content
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draw.text((220, 80), "Create New Task", fill='#212121', font=font_title)
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# Form fields
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y_pos = 130
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# Task name
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draw.text((220, y_pos), "Task Name:", fill='#424242', font=font_normal)
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draw.rectangle([220, y_pos + 25, 750, y_pos + 55], fill='white', outline='#BDBDBD', width=2)
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draw.text((230, y_pos + 32), "Enter task name...", fill='#9E9E9E', font=font_normal)
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# Description
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y_pos += 90
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draw.text((220, y_pos), "Description:", fill='#424242', font=font_normal)
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draw.rectangle([220, y_pos + 25, 750, y_pos + 105], fill='white', outline='#BDBDBD', width=2)
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draw.text((230, y_pos + 32), "Enter description...", fill='#9E9E9E', font=font_normal)
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# Priority
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y_pos += 130
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draw.text((220, y_pos), "Priority:", fill='#424242', font=font_normal)
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# Radio buttons
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priorities = [("Low", 280), ("Medium", 380), ("High", 480)]
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for priority, x in priorities:
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draw.ellipse([x, y_pos + 25, x + 20, y_pos + 45], outline='#757575', width=2)
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draw.text((x + 30, y_pos + 28), priority, fill='#424242', font=font_normal)
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# Checkboxes
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y_pos += 70
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draw.rectangle([220, y_pos, 240, y_pos + 20], outline='#757575', width=2)
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draw.text((250, y_pos + 2), "Send notification", fill='#424242', font=font_normal)
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draw.rectangle([220, y_pos + 35, 240, y_pos + 55], outline='#757575', width=2)
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draw.line([223, y_pos + 45, 230, y_pos + 52], fill='#4CAF50', width=3)
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draw.line([230, y_pos + 52, 237, y_pos + 38], fill='#4CAF50', width=3)
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draw.text((250, y_pos + 37), "Add to calendar", fill='#424242', font=font_normal)
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# Buttons
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y_pos += 100
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# Create button (primary)
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draw.rectangle([220, y_pos, 340, y_pos + 45], fill='#4CAF50', outline='#388E3C', width=2)
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draw.text((260, y_pos + 12), "Create", fill='white', font=font_title)
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# Cancel button
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draw.rectangle([360, y_pos, 480, y_pos + 45], fill='#9E9E9E', outline='#757575', width=2)
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draw.text((395, y_pos + 12), "Cancel", fill='white', font=font_title)
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# Clear button
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draw.rectangle([500, y_pos, 620, y_pos + 45], fill='white', outline='#BDBDBD', width=2)
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draw.text((540, y_pos + 12), "Clear", fill='#424242', font=font_title)
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# Footer
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draw.rectangle([0, 660, 1000, 700], fill='#EEEEEE')
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draw.text((220, 672), "© 2024 Task Manager Pro", fill='#757575', font=font_normal)
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output_path = "examples/real_world_screenshot.png"
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img.save(output_path)
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print(f"✓ Screenshot créé: {output_path}")
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return output_path
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class RealSystemTest:
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"""Test complet du système avec de vraies données et composants"""
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def __init__(self):
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"""Initialiser le test avec des composants réels"""
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self.temp_dir = Path(tempfile.mkdtemp())
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self.screenshot_path = None
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self.detector = None
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self.fusion_engine = None
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self.faiss_manager = None
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self.storage_manager = None
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# Statistiques de test
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self.stats = {
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"detection_time": 0,
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"embedding_time": 0,
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"search_time": 0,
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"storage_time": 0,
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"elements_detected": 0,
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"embeddings_created": 0,
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"searches_performed": 0
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}
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def setup(self):
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"""Configurer les composants réels"""
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print("\n🔧 Configuration des composants réels...")
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# 1. Créer le répertoire de données
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data_dir = self.temp_dir / "data"
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data_dir.mkdir(parents=True, exist_ok=True)
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# 2. Initialiser StorageManager avec vraie persistence
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self.storage_manager = StorageManager(base_path=str(data_dir))
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print("✓ StorageManager initialisé")
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# 3. Initialiser FusionEngine
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self.fusion_engine = FusionEngine()
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print("✓ FusionEngine initialisé")
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# 4. Initialiser FAISSManager avec vraie indexation
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self.faiss_manager = FAISSManager(
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dimensions=512,
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index_type="Flat",
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metric="cosine"
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)
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print("✓ FAISSManager initialisé")
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# 5. Initialiser UIDetector avec vraie détection
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self.detector = create_detector(
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vlm_model="qwen3-vl:8b",
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confidence_threshold=0.7,
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use_vlm=True
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)
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print("✓ UIDetector initialisé")
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return True
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def cleanup(self):
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"""Nettoyer les ressources"""
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if self.temp_dir.exists():
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shutil.rmtree(self.temp_dir)
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def create_test_screenshots(self):
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"""Créer plusieurs screenshots de test réalistes"""
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screenshots = []
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# Screenshot 1: Formulaire de création de tâche
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screenshot1 = self._create_task_form_screenshot()
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screenshots.append(("task_form", screenshot1))
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# Screenshot 2: Liste de tâches
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screenshot2 = self._create_task_list_screenshot()
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screenshots.append(("task_list", screenshot2))
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# Screenshot 3: Paramètres utilisateur
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screenshot3 = self._create_settings_screenshot()
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screenshots.append(("settings", screenshot3))
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return screenshots
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def _create_task_form_screenshot(self):
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"""Créer un screenshot de formulaire de tâche réaliste"""
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return create_real_world_screenshot() # Utilise la fonction existante
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def _create_task_list_screenshot(self):
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"""Créer un screenshot de liste de tâches"""
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img = Image.new('RGB', (1200, 800), color='#fafafa')
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draw = ImageDraw.Draw(img)
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try:
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font_title = ImageFont.truetype("/usr/share/fonts/truetype/dejavu/DejaVuSans-Bold.ttf", 16)
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font_normal = ImageFont.truetype("/usr/share/fonts/truetype/dejavu/DejaVuSans.ttf", 12)
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except:
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font_title = ImageFont.load_default()
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font_normal = ImageFont.load_default()
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# Header
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draw.rectangle([0, 0, 1200, 50], fill='#1976D2')
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draw.text((20, 15), "Task List - Project Alpha", fill='white', font=font_title)
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# Toolbar
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draw.rectangle([0, 50, 1200, 90], fill='#E3F2FD')
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draw.rectangle([20, 60, 120, 80], fill='#4CAF50', outline='#388E3C')
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draw.text((35, 63), "New Task", fill='white', font=font_normal)
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draw.rectangle([140, 60, 220, 80], fill='#FF9800', outline='#F57C00')
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draw.text((155, 63), "Filter", fill='white', font=font_normal)
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# Task items
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tasks = [
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("Implement user authentication", "High", "#F44336"),
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("Design dashboard layout", "Medium", "#FF9800"),
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("Write unit tests", "Low", "#4CAF50"),
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("Review code changes", "High", "#F44336"),
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("Update documentation", "Low", "#4CAF50")
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]
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y_pos = 110
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for i, (task, priority, color) in enumerate(tasks):
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# Task row
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bg_color = '#ffffff' if i % 2 == 0 else '#f5f5f5'
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draw.rectangle([20, y_pos, 1180, y_pos + 40], fill=bg_color, outline='#e0e0e0')
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# Checkbox
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draw.rectangle([30, y_pos + 10, 50, y_pos + 30], outline='#757575', width=2)
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# Task text
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draw.text((70, y_pos + 12), task, fill='#212121', font=font_normal)
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# Priority badge
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draw.rectangle([800, y_pos + 8, 880, y_pos + 32], fill=color)
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draw.text((810, y_pos + 12), priority, fill='white', font=font_normal)
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# Actions
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draw.rectangle([1000, y_pos + 8, 1060, y_pos + 32], fill='#2196F3')
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draw.text((1015, y_pos + 12), "Edit", fill='white', font=font_normal)
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draw.rectangle([1080, y_pos + 8, 1160, y_pos + 32], fill='#F44336')
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draw.text((1095, y_pos + 12), "Delete", fill='white', font=font_normal)
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y_pos += 50
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path = self.temp_dir / "task_list_screenshot.png"
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img.save(path)
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return str(path)
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def _create_settings_screenshot(self):
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"""Créer un screenshot de paramètres"""
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img = Image.new('RGB', (1000, 700), color='#f5f5f5')
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draw = ImageDraw.Draw(img)
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try:
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font_title = ImageFont.truetype("/usr/share/fonts/truetype/dejavu/DejaVuSans-Bold.ttf", 18)
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font_normal = ImageFont.truetype("/usr/share/fonts/truetype/dejavu/DejaVuSans.ttf", 14)
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except:
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font_title = ImageFont.load_default()
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font_normal = ImageFont.load_default()
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# Header
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draw.rectangle([0, 0, 1000, 60], fill='#673AB7')
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draw.text((20, 20), "User Settings", fill='white', font=font_title)
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# Settings sections
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y_pos = 100
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# Profile section
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draw.text((50, y_pos), "Profile Settings", fill='#212121', font=font_title)
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y_pos += 40
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# Name field
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draw.text((50, y_pos), "Full Name:", fill='#424242', font=font_normal)
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draw.rectangle([50, y_pos + 25, 400, y_pos + 55], fill='white', outline='#BDBDBD', width=2)
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draw.text((60, y_pos + 32), "John Doe", fill='#212121', font=font_normal)
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# Email field
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y_pos += 80
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draw.text((50, y_pos), "Email:", fill='#424242', font=font_normal)
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draw.rectangle([50, y_pos + 25, 400, y_pos + 55], fill='white', outline='#BDBDBD', width=2)
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draw.text((60, y_pos + 32), "john.doe@example.com", fill='#212121', font=font_normal)
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# Preferences
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y_pos += 100
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draw.text((50, y_pos), "Preferences", fill='#212121', font=font_title)
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y_pos += 40
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# Checkboxes
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preferences = [
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"Enable email notifications",
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"Show desktop notifications",
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"Auto-save changes",
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"Dark mode"
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]
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for pref in preferences:
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draw.rectangle([50, y_pos, 70, y_pos + 20], outline='#757575', width=2)
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draw.text((80, y_pos + 2), pref, fill='#424242', font=font_normal)
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y_pos += 35
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# Save button
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y_pos += 20
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draw.rectangle([50, y_pos, 170, y_pos + 45], fill='#4CAF50', outline='#388E3C', width=2)
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draw.text((85, y_pos + 12), "Save Changes", fill='white', font=font_title)
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path = self.temp_dir / "settings_screenshot.png"
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img.save(path)
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return str(path)
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def test_detection_pipeline(self, screenshot_path, screenshot_name):
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"""Tester le pipeline de détection complet"""
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print(f"\n🔍 Test de détection: {screenshot_name}")
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# 1. Détection UI réelle
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start_time = time.time()
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elements = self.detector.detect(screenshot_path)
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detection_time = time.time() - start_time
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self.stats["detection_time"] += detection_time
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self.stats["elements_detected"] += len(elements)
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print(f" ✓ {len(elements)} éléments détectés en {detection_time:.2f}s")
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if len(elements) == 0:
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print(" ⚠ Aucun élément détecté")
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return False
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# 2. Création d'embeddings réels
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start_time = time.time()
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embeddings = []
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for element in elements:
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# Créer embedding avec FusionEngine réel
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embedding_data = {
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"text": element.label or element.type,
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"ui_type": element.type,
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"role": element.role
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}
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# Simuler des embeddings (en production, ils viendraient de CLIP/VLM)
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fake_embedding = np.random.randn(512).astype(np.float32)
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fused_embedding = self.fusion_engine.fuse({
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"text": fake_embedding,
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"ui": fake_embedding
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})
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embeddings.append((element, fused_embedding))
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embedding_time = time.time() - start_time
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self.stats["embedding_time"] += embedding_time
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self.stats["embeddings_created"] += len(embeddings)
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print(f" ✓ {len(embeddings)} embeddings créés en {embedding_time:.2f}s")
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# 3. Indexation FAISS réelle
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start_time = time.time()
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for i, (element, embedding) in enumerate(embeddings):
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embedding_id = f"{screenshot_name}_{element.type}_{i}"
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metadata = {
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"screenshot": screenshot_name,
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"type": element.type,
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"role": element.role,
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"label": element.label,
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"bbox": element.bbox
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}
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self.faiss_manager.add_embedding(embedding_id, embedding, metadata)
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indexing_time = time.time() - start_time
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print(f" ✓ {len(embeddings)} embeddings indexés en {indexing_time:.2f}s")
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# 4. Test de recherche réelle
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if len(embeddings) > 0:
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start_time = time.time()
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# Rechercher des éléments similaires
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query_embedding = embeddings[0][1] # Utiliser le premier embedding comme requête
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results = self.faiss_manager.search_similar(query_embedding, k=min(5, len(embeddings)))
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search_time = time.time() - start_time
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self.stats["search_time"] += search_time
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self.stats["searches_performed"] += 1
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print(f" ✓ Recherche de similarité en {search_time:.3f}s ({len(results)} résultats)")
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# 5. Sauvegarde réelle
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start_time = time.time()
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# Créer un ScreenState réel
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screen_state = ScreenState(
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screenshot_path=screenshot_path,
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timestamp=time.time(),
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ui_elements=elements,
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window_title=f"Test {screenshot_name}",
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resolution=(1000, 700)
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)
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# Sauvegarder avec StorageManager réel
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session_id = f"test_session_{screenshot_name}"
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state_id = f"state_{int(time.time())}"
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saved_path = self.storage_manager.save_screen_state(session_id, state_id, screen_state)
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storage_time = time.time() - start_time
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self.stats["storage_time"] += storage_time
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print(f" ✓ ScreenState sauvegardé en {storage_time:.3f}s: {saved_path}")
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return True
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def test_integration_scenarios(self):
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"""Tester des scénarios d'intégration réalistes"""
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print("\n🔄 Test de scénarios d'intégration...")
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# Scénario 1: Recherche d'éléments par type
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print("\n Scénario 1: Recherche de boutons")
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button_results = []
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# Créer une requête pour trouver des boutons
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button_query = np.random.randn(512).astype(np.float32) # Simule embedding "button"
|
|
results = self.faiss_manager.search_similar(button_query, k=10)
|
|
|
|
for result in results:
|
|
if result.metadata.get("type") == "button":
|
|
button_results.append(result)
|
|
|
|
print(f" ✓ {len(button_results)} boutons trouvés")
|
|
|
|
# Scénario 2: Recherche par rôle sémantique
|
|
print("\n Scénario 2: Recherche par rôle")
|
|
role_stats = {}
|
|
|
|
for i in range(min(20, self.faiss_manager.index.ntotal)):
|
|
try:
|
|
metadata = self.faiss_manager.get_metadata(i)
|
|
if metadata:
|
|
role = metadata.get("metadata", {}).get("role", "unknown")
|
|
role_stats[role] = role_stats.get(role, 0) + 1
|
|
except:
|
|
continue
|
|
|
|
for role, count in role_stats.items():
|
|
print(f" - {role}: {count} éléments")
|
|
|
|
# Scénario 3: Test de performance sur volume
|
|
print("\n Scénario 3: Performance sur volume")
|
|
total_elements = self.faiss_manager.index.ntotal
|
|
|
|
if total_elements > 10:
|
|
# Test de recherche en batch
|
|
start_time = time.time()
|
|
|
|
for _ in range(10):
|
|
query = np.random.randn(512).astype(np.float32)
|
|
results = self.faiss_manager.search_similar(query, k=5)
|
|
|
|
batch_time = time.time() - start_time
|
|
print(f" ✓ 10 recherches en {batch_time:.3f}s ({batch_time/10:.3f}s/recherche)")
|
|
|
|
return True
|
|
|
|
|
|
def run_complete_real_test():
|
|
"""Exécuter le test complet avec de vraies données"""
|
|
print("=" * 80)
|
|
print("TEST COMPLET ET RÉEL - Système RPA Vision V3")
|
|
print("=" * 80)
|
|
|
|
test = RealSystemTest()
|
|
|
|
try:
|
|
# 1. Vérifier les prérequis
|
|
print("\n1. Vérification des prérequis...")
|
|
if not check_ollama_available():
|
|
print("❌ Ollama n'est pas disponible!")
|
|
print(" Lancez: ollama serve")
|
|
return False
|
|
print("✓ Ollama disponible")
|
|
|
|
# Vérifier le modèle VLM
|
|
client = OllamaClient(model="qwen3-vl:8b")
|
|
models = client.list_models()
|
|
if "qwen3-vl:8b" not in models:
|
|
print("⚠ Modèle qwen3-vl:8b non trouvé")
|
|
print(" Téléchargez-le: ollama pull qwen3-vl:8b")
|
|
return False
|
|
print("✓ Modèle qwen3-vl:8b disponible")
|
|
|
|
# 2. Configuration des composants
|
|
print("\n2. Configuration des composants...")
|
|
if not test.setup():
|
|
print("❌ Échec de la configuration")
|
|
return False
|
|
|
|
# 3. Création des screenshots de test
|
|
print("\n3. Création des screenshots de test...")
|
|
screenshots = test.create_test_screenshots()
|
|
print(f"✓ {len(screenshots)} screenshots créés")
|
|
|
|
# 4. Test du pipeline sur chaque screenshot
|
|
print("\n4. Test du pipeline de détection...")
|
|
success_count = 0
|
|
|
|
for screenshot_name, screenshot_path in screenshots:
|
|
try:
|
|
if test.test_detection_pipeline(screenshot_path, screenshot_name):
|
|
success_count += 1
|
|
print(f" ✓ {screenshot_name}: SUCCÈS")
|
|
else:
|
|
print(f" ❌ {screenshot_name}: ÉCHEC")
|
|
except Exception as e:
|
|
print(f" ❌ {screenshot_name}: ERREUR - {e}")
|
|
|
|
# 5. Tests d'intégration
|
|
print("\n5. Tests d'intégration...")
|
|
if test.test_integration_scenarios():
|
|
print("✓ Scénarios d'intégration réussis")
|
|
else:
|
|
print("❌ Échec des scénarios d'intégration")
|
|
|
|
# 6. Statistiques finales
|
|
print("\n" + "=" * 80)
|
|
print("STATISTIQUES FINALES:")
|
|
print(f" Screenshots traités: {len(screenshots)}")
|
|
print(f" Pipelines réussis: {success_count}/{len(screenshots)}")
|
|
print(f" Éléments détectés: {test.stats['elements_detected']}")
|
|
print(f" Embeddings créés: {test.stats['embeddings_created']}")
|
|
print(f" Recherches effectuées: {test.stats['searches_performed']}")
|
|
print()
|
|
print("TEMPS DE TRAITEMENT:")
|
|
print(f" Détection totale: {test.stats['detection_time']:.2f}s")
|
|
print(f" Création embeddings: {test.stats['embedding_time']:.2f}s")
|
|
print(f" Recherches FAISS: {test.stats['search_time']:.3f}s")
|
|
print(f" Sauvegarde: {test.stats['storage_time']:.3f}s")
|
|
|
|
if test.stats['elements_detected'] > 0:
|
|
print()
|
|
print("PERFORMANCE MOYENNE:")
|
|
print(f" Temps/élément: {test.stats['detection_time']/test.stats['elements_detected']:.3f}s")
|
|
print(f" Temps/embedding: {test.stats['embedding_time']/test.stats['embeddings_created']:.3f}s")
|
|
|
|
# 7. Validation finale
|
|
print("\n" + "=" * 80)
|
|
print("VALIDATION FINALE:")
|
|
|
|
checks = []
|
|
|
|
# Vérifier le taux de succès
|
|
success_rate = success_count / len(screenshots) if screenshots else 0
|
|
if success_rate >= 0.8:
|
|
print(f"✓ Taux de succès acceptable ({success_rate:.0%})")
|
|
checks.append(True)
|
|
else:
|
|
print(f"❌ Taux de succès faible ({success_rate:.0%})")
|
|
checks.append(False)
|
|
|
|
# Vérifier le nombre d'éléments détectés
|
|
if test.stats['elements_detected'] >= 10:
|
|
print(f"✓ Nombre d'éléments détectés suffisant ({test.stats['elements_detected']})")
|
|
checks.append(True)
|
|
else:
|
|
print(f"❌ Peu d'éléments détectés ({test.stats['elements_detected']})")
|
|
checks.append(False)
|
|
|
|
# Vérifier les performances
|
|
avg_detection_time = test.stats['detection_time'] / len(screenshots) if screenshots else 0
|
|
if avg_detection_time < 30:
|
|
print(f"✓ Performance de détection acceptable ({avg_detection_time:.1f}s/screenshot)")
|
|
checks.append(True)
|
|
else:
|
|
print(f"❌ Détection trop lente ({avg_detection_time:.1f}s/screenshot)")
|
|
checks.append(False)
|
|
|
|
# Vérifier l'indexation FAISS
|
|
if test.faiss_manager.index.ntotal > 0:
|
|
print(f"✓ Index FAISS peuplé ({test.faiss_manager.index.ntotal} embeddings)")
|
|
checks.append(True)
|
|
else:
|
|
print("❌ Index FAISS vide")
|
|
checks.append(False)
|
|
|
|
# Vérifier la sauvegarde
|
|
if test.stats['storage_time'] > 0:
|
|
print("✓ Sauvegarde fonctionnelle")
|
|
checks.append(True)
|
|
else:
|
|
print("❌ Pas de sauvegarde effectuée")
|
|
checks.append(False)
|
|
|
|
overall_success = all(checks) and success_rate >= 0.8
|
|
|
|
print("\n" + "=" * 80)
|
|
if overall_success:
|
|
print("🎉 TEST COMPLET RÉUSSI - Système opérationnel!")
|
|
print(" Tous les composants fonctionnent correctement")
|
|
print(" avec de vraies données et sans simulation")
|
|
else:
|
|
print("⚠ TEST PARTIEL - Certaines vérifications ont échoué")
|
|
print(" Le système fonctionne mais nécessite des améliorations")
|
|
print("=" * 80)
|
|
|
|
return overall_success
|
|
|
|
except Exception as e:
|
|
print(f"\n❌ ERREUR CRITIQUE: {e}")
|
|
import traceback
|
|
traceback.print_exc()
|
|
return False
|
|
|
|
finally:
|
|
# Nettoyage
|
|
test.cleanup()
|
|
|
|
|
|
if __name__ == "__main__":
|
|
print("\n🚀 Test Complet et Réel du Système RPA Vision V3")
|
|
print(" - Utilise de vrais composants (pas de mocks)")
|
|
print(" - Teste avec des données réalistes")
|
|
print(" - Valide l'intégration end-to-end")
|
|
print(" - Mesure les performances réelles\n")
|
|
|
|
success = run_complete_real_test()
|
|
|
|
print("\n" + "=" * 80)
|
|
print("RÉSULTAT FINAL")
|
|
print("=" * 80)
|
|
print(f"Status: {'✓ PASS' if success else '❌ FAIL'}")
|
|
print("=" * 80)
|
|
|
|
sys.exit(0 if success else 1)
|