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Update app.py
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app.py
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from fastapi import FastAPI
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app = FastAPI()
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def greet_json():
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#from fastapi import FastAPI
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#app = FastAPI()
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#@app.get("/")
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#def greet_json():
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# return {"Hello": "World!"}
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import flask
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from flask import Flask, render_template
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import folium
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import gps_tracker
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import route_optimizer
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import schedule_optimizer
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import zone_pressure_monitor
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import heatmap_generator
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import reward_system
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import driver_assignment
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app = Flask(__name__)
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# Cross-Movement Transportation System
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@app.route('/')
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def transportation_dashboard():
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# Create map centered on your area of operation
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m = folium.Map(location=[40.7128, -74.0060], zoom_start=12)
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# Add GPS tracking for vehicles
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vehicles = gps_tracker.get_vehicle_locations()
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for vehicle in vehicles:
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folium.Marker([vehicle.lat, vehicle.lon], popup=vehicle.id).add_to(m)
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# Optimize routes
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optimized_routes = route_optimizer.optimize(vehicles, destinations)
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for route in optimized_routes:
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folium.PolyLine(route, color="red", weight=2.5, opacity=1).add_to(m)
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# Optimize schedules
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optimized_schedules = schedule_optimizer.optimize(vehicles, destinations)
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return render_template('dashboard.html', map=m._repr_html_(), schedules=optimized_schedules)
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# Exhaust Engine and Sustained Pressure System
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@app.route('/pressure')
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def pressure_dashboard():
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# Monitor zone pressure
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pressures = zone_pressure_monitor.get_pressures()
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# Generate heatmap
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heatmap = heatmap_generator.generate(pressures)
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# Calculate rewards/penalties
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rewards = reward_system.calculate(pressures, vehicles)
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# Adjust driver assignments
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new_assignments = driver_assignment.optimize(pressures, vehicles)
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return render_template('pressure.html', heatmap=heatmap, rewards=rewards, assignments=new_assignments)
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# Real-time update endpoint
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@app.route('/update', methods=['POST'])
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def update():
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data = flask.request.json
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# Update vehicle locations
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gps_tracker.update_locations(data['vehicles'])
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# Update zone pressures
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zone_pressure_monitor.update_pressures(data['pressures'])
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# Re-optimize routes based on new data
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new_routes = route_optimizer.optimize(data['vehicles'], data['destinations'])
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# Re-assign drivers based on new pressures
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new_assignments = driver_assignment.optimize(data['pressures'], data['vehicles'])
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return jsonify({'routes': new_routes, 'assignments': new_assignments})
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if __name__ == '__main__':
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app.run(debug=True)
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