65 lines
2.3 KiB
Python
65 lines
2.3 KiB
Python
import struct
|
|
|
|
from pymodbus.client import ModbusTcpClient
|
|
import pandas as pd
|
|
import time
|
|
|
|
class ShellyPro3m:
|
|
def __init__(self, device_name: str, ip_address: str, port: int=502):
|
|
self.device_name = device_name
|
|
self.ip = ip_address
|
|
self.port = port
|
|
self.client = None
|
|
self.connect_to_modbus()
|
|
self.registers = None
|
|
self.get_registers()
|
|
|
|
def connect_to_modbus(self):
|
|
port = self.port
|
|
self.client = ModbusTcpClient(self.ip, port=port)
|
|
try:
|
|
if not self.client.connect():
|
|
print("Verbindung zum Shelly-Logger fehlgeschlagen.")
|
|
exit(1)
|
|
print("Verbindung zum Shelly-Logger 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 = "modbus_registers/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_state(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
|
|
|
|
packed = struct.pack(">HH", result.registers[1], result.registers[0])
|
|
value = round(struct.unpack(">f", packed)[0], 2)
|
|
|
|
print(f"Adresse {address} - {info['desc']}: {value}")
|
|
data[f"{address} - {info['desc']}"] = value
|
|
return data
|