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Create app.py
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app.py

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from flask import Flask, request, jsonify
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from ago import process_energy_file, handle_sustainability_goal, generate_response
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from vtracker import df # Assuming `vtracker.py` has loaded the DataFrame
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app = Flask(__name__)
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@app.route('/api/sustainability_goal', methods=['POST'])
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def set_sustainability_goal():
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data = request.json # Receive data from frontend
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choice = data.get('choice')
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response = handle_sustainability_goal()
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return jsonify({'message': response})
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@app.route('/api/energy_bill', methods=['POST'])
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def process_energy_bill():
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file_content = request.json.get('file_content')
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file_path = 'temp_energy_bill.json' # Save content temporarily
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with open(file_path, 'w') as f:
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f.write(file_content)
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result = process_energy_file(file_path)
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return jsonify(result)
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@app.route('/api/recommendations', methods=['POST'])
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def get_recommendations():
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analysis = request.json.get('analysis')
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response = generate_response(f"Based on analysis: {analysis}\nProvide recommendations.")
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return jsonify({'recommendations': response})
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@app.route('/api/vtracker_data', methods=['GET'])
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def get_vtracker_data():
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# Convert DataFrame to JSON for visualization
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data = df.to_dict(orient='records')
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return jsonify(data)
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if __name__ == '__main__':
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app.run(debug=True)

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