63 lines
2.1 KiB
Python
63 lines
2.1 KiB
Python
from pymodbus.client import ModbusTcpClient
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import pandas as pd
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import time
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class HeatPump:
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def __init__(self, ip_address: str):
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self.ip = ip_address
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self.client = None
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self.connect_to_modbus()
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self.registers = None
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self.get_registers()
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def connect_to_modbus(self):
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port = 502
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self.client = ModbusTcpClient(self.ip, port=port)
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try:
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if not self.client.connect():
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print("Verbindung zur Wärmepumpe fehlgeschlagen.")
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exit(1)
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print("Verbindung zur Wärmepumpe erfolgreich.")
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except KeyboardInterrupt:
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print("Beendet durch Benutzer (Ctrl+C).")
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finally:
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self.client.close()
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def get_registers(self):
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# Excel-Datei mit den Input-Registerinformationen
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excel_path = "data/ModBus TCPIP 1.17(1).xlsx"
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xls = pd.ExcelFile(excel_path)
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df_input_registers = xls.parse('04 Input Register')
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# Relevante Spalten bereinigen
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df_clean = df_input_registers[['MB Adresse', 'Variable', 'Beschreibung', 'Variabel Typ']].dropna()
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df_clean['MB Adresse'] = df_clean['MB Adresse'].astype(int)
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# Dictionary aus Excel erzeugen
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self.registers = {
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row['MB Adresse']: {
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'desc': row['Beschreibung'],
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'type': 'REAL' if row['Variabel Typ'] == 'REAL' else 'INT'
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}
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for _, row in df_clean.iterrows()
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}
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def get_data(self):
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data = {}
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data['time'] = [time.strftime('%Y-%m-%d %H:%M:%S')]
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for address, info in self.registers.items():
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reg_type = info['type']
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result = self.client.read_input_registers(address, count=2 if reg_type == 'REAL' else 1)
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if result.isError():
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print(f"Fehler beim Lesen von Adresse {address}: {result}")
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continue
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if reg_type == 'REAL':
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value = result.registers[0] / 10.0
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else:
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value = result.registers[0]
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print(f"Adresse {address} - {info['desc']}: {value}")
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data[info['desc']] = value
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return data
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