Files
allmende_ems/shelly_pro_3m.py
2025-05-26 21:08:16 +02:00

61 lines
2.1 KiB
Python

from pymodbus.client import ModbusTcpClient
import pandas as pd
import time
class ShellyPro3m:
def __init__(self, device_name: str, ip_address: str):
self.device_name = device_name
self.ip = ip_address
self.client = None
self.connect_to_modbus()
self.registers = None
self.get_registers()
def connect_to_modbus(self):
port = 502
self.client = ModbusTcpClient(self.ip, port=port)
try:
if not self.client.connect():
print("Verbindung zur Wärmepumpe fehlgeschlagen.")
exit(1)
print("Verbindung zur Wärmepumpe erfolgreich.")
except KeyboardInterrupt:
print("Beendet durch Benutzer (Ctrl+C).")
finally:
self.client.close()
def get_registers(self):
# Excel-Datei mit den Input-Registerinformationen
excel_path = "data/shelly_pro_3m_registers.xlsx"
xls = pd.ExcelFile(excel_path)
df_input_registers = xls.parse()
# Relevante Spalten bereinigen
df_clean = df_input_registers[['MB Adresse', 'Beschreibung', 'Variabel Typ']].dropna()
df_clean['MB Adresse'] = df_clean['MB Adresse'].astype(int)
# Dictionary aus Excel erzeugen
self.registers = {
row['MB Adresse']: {
'desc': row['Beschreibung'],
'type': 'REAL' if row['Variabel Typ'] == 'REAL' else 'INT'
}
for _, row in df_clean.iterrows()
}
def get_data(self):
data = {}
data['Zeit'] = time.strftime('%Y-%m-%d %H:%M:%S')
for address, info in self.registers.items():
reg_type = info['type']
result = self.client.read_input_registers(address, count=2 if reg_type == 'REAL' else 1)
if result.isError():
print(f"Fehler beim Lesen von Adresse {address}: {result}")
continue
value = result.registers[0] / 10.0
print(f"Adresse {address} - {info['desc']}: {value}")
data[f"{address} - {info['desc']}"] = value
return data