mirror of
https://github.com/Akkudoktor-EOS/EOS.git
synced 2025-04-19 08:55:15 +00:00
77 lines
2.7 KiB
Python
77 lines
2.7 KiB
Python
from flask import Flask, jsonify, request
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import numpy as np
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from modules.class_load import *
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from modules.class_ems import *
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from modules.class_pv_forecast import *
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from modules.class_akku import *
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from modules.class_strompreis import *
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from modules.class_heatpump import *
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from modules.class_load_container import *
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from modules.class_sommerzeit import *
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from modules.visualize import *
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import os
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from flask import Flask, send_from_directory
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from pprint import pprint
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import matplotlib
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matplotlib.use('Agg') # Setzt das Backend auf Agg
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import matplotlib.pyplot as plt
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import string
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from datetime import datetime
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from deap import base, creator, tools, algorithms
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from modules.class_optimize import *
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import numpy as np
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import random
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import os
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app = Flask(__name__)
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opt_class = optimization_problem(prediction_hours=24, strafe=10)
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@app.route('/optimize', methods=['POST'])
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def flask_optimize():
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if request.method == 'POST':
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parameter = request.json
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# Erforderliche Parameter prüfen
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erforderliche_parameter = [ 'pv_akku_cap', 'year_energy',"einspeiseverguetung_euro_pro_wh", 'max_heizleistung', 'pv_forecast_url', 'eauto_min_soc', "eauto_cap","eauto_charge_efficiency","eauto_charge_power","eauto_soc","pv_soc","start_solution","pvpowernow","haushaltsgeraet_dauer","haushaltsgeraet_wh"]
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for p in erforderliche_parameter:
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if p not in parameter:
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return jsonify({"error": f"Fehlender Parameter: {p}"}), 400
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# Simulation durchführen
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ergebnis = opt_class.optimierung_ems(parameter=parameter, start_hour=datetime.now().hour)
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return jsonify(ergebnis)
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@app.route('/optimize_worst_case', methods=['POST'])
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def flask_optimize_worst_case():
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if request.method == 'POST':
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parameter = request.json
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# Erforderliche Parameter prüfen
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erforderliche_parameter = [ 'pv_akku_cap', 'year_energy',"einspeiseverguetung_euro_pro_wh", 'max_heizleistung', 'pv_forecast_url', 'eauto_min_soc', "eauto_cap","eauto_charge_efficiency","eauto_charge_power","eauto_soc","pv_soc","start_solution","pvpowernow","haushaltsgeraet_dauer","haushaltsgeraet_wh"]
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for p in erforderliche_parameter:
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if p not in parameter:
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return jsonify({"error": f"Fehlender Parameter: {p}"}), 400
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# Simulation durchführen
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ergebnis = opt_class.optimierung_ems(parameter=parameter, start_hour=datetime.now().hour, worst_case=True)
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return jsonify(ergebnis)
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@app.route('/visualisierungsergebnisse.pdf')
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def get_pdf():
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return send_from_directory('', 'visualisierungsergebnisse.pdf')
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if __name__ == '__main__':
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app.run(debug=True, host="0.0.0.0")
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