elpatron
27e185c2a6
- Fix circular import issue by moving simulation_manager to app/__init__.py - Enhance get_wealth_evolution to include inequality metrics data - Add get_inequality_evolution method for complete chart data - Update API to return top10_shares and capital_shares in evolution data - Modify onSimulationComplete to fetch and populate charts with complete data - Fix simulation threading to properly mark completion state - Add test script to verify chart data generation The charts now properly display simulation results by fetching complete evolution data when simulation completes, resolving the empty diagrams issue.
43 lines
1.0 KiB
Python
43 lines
1.0 KiB
Python
"""
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Flask Application Factory
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Creates and configures the Flask application with SocketIO support for real-time
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updates of the Markov economics simulation.
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"""
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from flask import Flask
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from flask_socketio import SocketIO
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from config import config
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from app.models import SimulationManager
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# Initialize SocketIO
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socketio = SocketIO(cors_allowed_origins="*")
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# Global simulation manager instance
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simulation_manager = SimulationManager()
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def create_app(config_name='development'):
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"""
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Create and configure the Flask application.
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Args:
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config_name: Configuration profile to use
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Returns:
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Configured Flask application instance
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"""
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app = Flask(__name__)
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app.config.from_object(config[config_name])
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# Initialize extensions
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socketio.init_app(app, async_mode='threading')
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# Register blueprints
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from .routes.main import main_bp
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from .routes.api import api_bp
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app.register_blueprint(main_bp)
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app.register_blueprint(api_bp, url_prefix='/api')
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return app |