Add comprehensive COACHING mode system with: Backend: - core/coaching module with session persistence and metrics - CoachingSessionPersistence for pause/resume sessions - CoachingMetricsCollector with learning progress tracking - REST API blueprint for coaching sessions management - Execution integration with COACHING mode support Frontend: - CoachingPanel component with keyboard shortcuts - Decision buttons (accept/reject/correct/manual/skip) - Real-time stats display and correction editor - CorrectionPacksDashboard for pack visualization - WebSocket hooks for real-time COACHING events Metrics & Monitoring: - WorkflowLearningMetrics with confidence scoring - GlobalCoachingMetrics for system-wide analytics - AUTO mode readiness detection (85% acceptance threshold) - Learning progress levels (OBSERVATION → COACHING → AUTO) Tests: - E2E tests for complete OBSERVATION → AUTO journey - Session persistence and recovery tests - Metrics threshold validation tests Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
209 lines
6.9 KiB
Python
209 lines
6.9 KiB
Python
"""
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Visual Workflow Builder - Backend Flask Application
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This is the main entry point for the Visual Workflow Builder backend API.
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It provides REST endpoints for workflow management and WebSocket support
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for real-time execution updates.
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"""
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from flask import Flask
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from flask_cors import CORS
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from flask_socketio import SocketIO
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from flask_sqlalchemy import SQLAlchemy
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from flask_caching import Cache
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import os
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from dotenv import load_dotenv
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# Load environment variables
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load_dotenv()
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# Initialize Flask app
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app = Flask(__name__)
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# Configuration
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app.config['SECRET_KEY'] = os.getenv('SECRET_KEY', 'dev-secret-key-change-in-production')
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app.config['SQLALCHEMY_DATABASE_URI'] = os.getenv('DATABASE_URL', 'sqlite:///workflows.db')
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app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = False
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app.config['MAX_CONTENT_LENGTH'] = 10 * 1024 * 1024 # 10MB max upload
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app.config['CACHE_TYPE'] = 'redis' if os.getenv('REDIS_URL') else 'simple'
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app.config['CACHE_REDIS_URL'] = os.getenv('REDIS_URL', 'redis://localhost:6379/0')
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# Initialize extensions
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db = SQLAlchemy(app)
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cache = Cache(app)
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socketio = SocketIO(
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app,
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cors_allowed_origins="*",
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async_mode='threading',
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logger=True,
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engineio_logger=True
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)
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# Enable CORS
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CORS(app, resources={
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r"/api/*": {
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"origins": os.getenv('CORS_ORIGINS', 'http://localhost:3000').split(','),
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"methods": ["GET", "POST", "PUT", "DELETE", "OPTIONS"],
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"allow_headers": ["Content-Type", "Authorization"]
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}
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})
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# Import and register blueprints (minimal set)
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from api.workflows import workflows_bp
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from api.screen_capture import screen_capture_bp
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from api.real_demo import real_demo_bp
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from api.errors import error_response
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app.register_blueprint(workflows_bp, url_prefix='/api/workflows')
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app.register_blueprint(screen_capture_bp, url_prefix='/api/screen-capture')
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app.register_blueprint(real_demo_bp)
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# Optional / Phase 2+ blueprints (loaded only if modules are available)
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try:
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from api.self_healing import self_healing_bp
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app.register_blueprint(self_healing_bp)
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except ImportError as e:
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print(f"⚠️ Blueprint self_healing désactivé: {e}")
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try:
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from api.visual_targets import visual_targets_bp, init_visual_target_manager
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app.register_blueprint(visual_targets_bp)
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VISUAL_TARGETS_BP_AVAILABLE = True
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except ImportError as e:
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print(f"⚠️ Blueprint visual_targets désactivé: {e}")
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VISUAL_TARGETS_BP_AVAILABLE = False
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init_visual_target_manager = None
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try:
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from api.element_detection import element_detection_bp, init_element_detection
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app.register_blueprint(element_detection_bp)
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ELEMENT_DETECTION_BP_AVAILABLE = True
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except ImportError as e:
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print(f"⚠️ Blueprint element_detection désactivé: {e}")
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ELEMENT_DETECTION_BP_AVAILABLE = False
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init_element_detection = None
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try:
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from api.analytics import analytics_bp
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app.register_blueprint(analytics_bp, url_prefix='/api/analytics')
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except ImportError:
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pass
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# Register other blueprints (optional - depends on Phase 2+ services)
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try:
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from api.templates import templates_bp
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app.register_blueprint(templates_bp, url_prefix='/api/templates')
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except ImportError as e:
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print(f"⚠️ Blueprint templates désactivé: {e}")
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from api.node_types import node_types_bp
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app.register_blueprint(node_types_bp, url_prefix='/api/node-types')
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try:
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from api.executions import executions_bp
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app.register_blueprint(executions_bp, url_prefix='/api/executions')
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except ImportError as e:
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print(f"⚠️ Blueprint executions désactivé: {e}")
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try:
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from api.import_export import import_export_bp
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app.register_blueprint(import_export_bp, url_prefix='/api')
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except ImportError as e:
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print(f"⚠️ Blueprint import_export désactivé: {e}")
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try:
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from api.correction_packs import correction_packs_bp
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app.register_blueprint(correction_packs_bp, url_prefix='/api')
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print("✅ Blueprint correction_packs enregistré")
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except ImportError as e:
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print(f"⚠️ Blueprint correction_packs désactivé: {e}")
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try:
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from api.coaching_sessions import coaching_sessions_bp
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app.register_blueprint(coaching_sessions_bp, url_prefix='/api/coaching-sessions')
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print("✅ Blueprint coaching_sessions enregistré")
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except ImportError as e:
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print(f"⚠️ Blueprint coaching_sessions désactivé: {e}")
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# Import WebSocket handlers (optional)
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try:
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from api import websocket_handlers # noqa: F401
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except Exception as e:
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print(f"⚠️ WebSocket handlers désactivés: {e}")
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# Global error handlers
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@app.errorhandler(404)
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def not_found(error):
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"""Handle 404 errors"""
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return error_response(404, "Resource not found")
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@app.errorhandler(405)
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def method_not_allowed(error):
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"""Handle 405 errors"""
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return error_response(405, "Method not allowed")
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@app.errorhandler(500)
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def internal_error(error):
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"""Handle 500 errors"""
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return error_response(500, "Internal server error")
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@app.errorhandler(Exception)
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def handle_exception(error):
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"""Handle all unhandled exceptions"""
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import traceback
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traceback.print_exc()
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return error_response(500, f"Unexpected error: {str(error)}")
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# Health check endpoint
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@app.route('/health')
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def health_check():
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"""Health check endpoint for monitoring"""
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return {'status': 'healthy', 'version': '1.0.0'}
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# Create database tables
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with app.app_context():
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db.create_all()
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# Initialize VisualTargetManager with RPA Vision V3 components (optional)
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try:
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from core.capture.screen_capturer import ScreenCapturer
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from core.detection.ui_detector import UIDetector
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from core.embedding.fusion_engine import FusionEngine
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# Only initialize if the related blueprints were actually loaded
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if VISUAL_TARGETS_BP_AVAILABLE and init_visual_target_manager:
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screen_capturer = ScreenCapturer()
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ui_detector = UIDetector()
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fusion_engine = FusionEngine()
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init_visual_target_manager(screen_capturer, ui_detector, fusion_engine)
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if ELEMENT_DETECTION_BP_AVAILABLE and init_element_detection:
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# Reuse the same instances when possible
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if 'ui_detector' not in locals():
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ui_detector = UIDetector()
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if 'screen_capturer' not in locals():
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screen_capturer = ScreenCapturer()
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init_element_detection(ui_detector, screen_capturer)
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if (VISUAL_TARGETS_BP_AVAILABLE and init_visual_target_manager) or (ELEMENT_DETECTION_BP_AVAILABLE and init_element_detection):
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print("✅ Services visuels initialisés (VisualTargets / ElementDetection)")
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except ImportError as e:
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print(f"⚠️ Core RPA non disponible pour l'initialisation visuelle: {e}")
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except Exception as e:
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print(f"❌ Erreur lors de l'initialisation des services visuels: {e}")
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if __name__ == '__main__':
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port = int(os.getenv('PORT', 5002))
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debug = os.getenv('FLASK_ENV') == 'development'
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socketio.run(
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app,
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host='0.0.0.0',
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port=port,
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debug=debug,
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use_reloader=debug,
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allow_unsafe_werkzeug=True # For development only
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)
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