aktueller stand

README

@@ -11,42 +11,10 @@ Was needs to be done on the Raspberry pi before the tool can run.
     - pip install -r requirements.txt
 
 
-3) How to run the script for testing:
+How to run the script:
 
-    nohup python main.py > terminal_log 2>&1 &
+- nohup python main.py > terminal_log 2>&1 &
 
 For reading out the terminal_log while script is runing:
 
-    tail -f terminal_log
+- tail -f terminal_log
-
-
-4) Implement and run the ems as systemd service:
-create:
-    /etc/systemd/system/allmende_ems.service
-
-insert:
-    [Unit]
-    Description=Allmende EMS Python Script
-    After=network.target
-
-    [Service]
-    WorkingDirectory=/home/pi/projects/allmende_ems
-    ExecStart=/home/pi/allmende_ems/bin/python3.11 /home/pi/projects/allmende_ems/main.py
-    Restart=always
-    RestartSec=5
-    StandardOutput=journal
-    StandardError=journal
-
-    [Install]
-    WantedBy=multi-user.target
-
-manage the service with the following commands:
-Once:
-    sudo systemctl daemon-reload
-    sudo systemctl start allmende_ems.service
-    sudo systemctl enable allmende_ems.service
-While running:
-    sudo systemctl status allmende_ems.service
-    sudo systemctl restart allmende_ems.service
-    sudo systemctl stop allmende_ems.service
-    journalctl -u allmende_ems.service

data_base_csv.py

@@ -0,0 +1,46 @@
+import csv
+import os
+import tempfile
+import shutil
+
+class DataBaseCsv:
+    def __init__(self, filename: str):
+        self.filename = filename
+
+    def store_data(self, data: dict):
+        new_fields = list(data.keys())
+
+        # If file does not exist or is empty → create new file with header
+        if not os.path.exists(self.filename) or os.path.getsize(self.filename) == 0:
+            with open(self.filename, mode='w', newline='') as csv_file:
+                writer = csv.DictWriter(csv_file, fieldnames=new_fields)
+                writer.writeheader()
+                writer.writerow(data)
+            return
+
+        # If file exists → read existing header and data
+        with open(self.filename, mode='r', newline='') as csv_file:
+            reader = csv.DictReader(csv_file)
+            existing_fields = reader.fieldnames
+            existing_data = list(reader)
+
+        # Merge old and new fields (keep original order, add new ones)
+        all_fields = existing_fields.copy()
+        for field in new_fields:
+            if field not in all_fields:
+                all_fields.append(field)
+
+        # Write to a temporary file with updated header
+        with tempfile.NamedTemporaryFile(mode='w', delete=False, newline='', encoding='utf-8') as tmp_file:
+            writer = csv.DictWriter(tmp_file, fieldnames=all_fields)
+            writer.writeheader()
+
+            # Write old rows with updated field list
+            for row in existing_data:
+                writer.writerow({field: row.get(field, '') for field in all_fields})
+
+            # Write new data row
+            writer.writerow({field: data.get(field, '') for field in all_fields})
+
+        # Replace original file with updated temporary file
+        shutil.move(tmp_file.name, self.filename)

data_base_influx.py

@@ -1,28 +0,0 @@
-from influxdb_client import InfluxDBClient, Point, WritePrecision
-from datetime import datetime
-
-class DataBaseInflux:
-    def __init__(self, url: str, token: str, org: str, bucket: str):
-        self.url = url
-        self.token = token
-        self.org = org
-        self.bucket = bucket
-        self.client = InfluxDBClient(url=self.url, token=self.token, org=self.org)
-        self.write_api = self.client.write_api()
-
-    def store_data(self, device_name: str, data: dict):
-        measurement = device_name # Fest auf "messungen" gesetzt
-
-        point = Point(measurement)
-
-        # Alle Key/Value-Paare als Fields speichern
-        for key, value in data.items():
-            point = point.field(key, value)
-
-        # Zeitstempel automatisch auf jetzt setzen
-        point = point.time(datetime.utcnow(), WritePrecision.NS)
-
-        # Punkt in InfluxDB schreiben
-        self.write_api.write(bucket=self.bucket, org=self.org, record=point)
-
-

energysystem.py

@@ -1,25 +0,0 @@
-
-
-
-class EnergySystem():
-    def __init__(self):
-        self.components = []
-
-    def add_components(self, *args):
-        for comp in args:
-            self.components.append(comp)
-
-    def get_state_and_store_to_database(self, db):
-        state = {}
-        for comp in self.components:
-            component_state = comp.get_state()
-            state[comp.device_name] = component_state
-            db.store_data(comp.device_name, component_state)
-
-        return state
-
-    def get_component_by_name(self, name):
-        for comp in self.components:
-            if comp.device_name == name:
-                return comp
-

heat_pump.py

@@ -3,17 +3,15 @@ import pandas as pd
 import time
 
 class HeatPump:
-    def __init__(self, device_name: str, ip_address: str, port: int=502):
+    def __init__(self, ip_address: str):
-        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
+        port = 502
         self.client = ModbusTcpClient(self.ip, port=port)
         try:
             if not self.client.connect():
@@ -27,7 +25,7 @@ class HeatPump:
 
     def get_registers(self):
         # Excel-Datei mit den Input-Registerinformationen
-        excel_path = "modbus_registers/heat_pump_registers.xlsx"
+        excel_path = "data/ModBus TCPIP 1.17(1).xlsx"
         xls = pd.ExcelFile(excel_path)
         df_input_registers = xls.parse('04 Input Register')
 
@@ -44,7 +42,7 @@ class HeatPump:
             for _, row in df_clean.iterrows()
         }
 
-    def get_state(self):
+    def get_data(self):
         data = {}
         data['Zeit'] = time.strftime('%Y-%m-%d %H:%M:%S')
         for address, info in self.registers.items():

main.py

@@ -1,46 +1,17 @@
 import time
 from datetime import datetime
-from data_base_influx import DataBaseInflux
+from data_base_csv import DataBaseCsv
 from heat_pump import HeatPump
-from pv_inverter import PvInverter
-from solaredge_meter import SolaredgeMeter
-from shelly_pro_3m import ShellyPro3m
-from energysystem import EnergySystem
-from sg_ready_controller import SgReadyController
 
-# For dev-System run in terminal: ssh -N -L 127.0.0.1:8111:10.0.0.10:502 pi@192.168.1.146
+interval = 10  # z.B. alle 10 Sekunden
-# For productive-System change IP-adress in heatpump to '10.0.0.10' and port to 502
 
-interval_seconds = 10
+db = DataBaseCsv('modbus_log.csv')
-
+hp = HeatPump(ip_address='10.0.0.10')
-es = EnergySystem()
-
-db = DataBaseInflux(
-    url="http://192.168.1.146:8086",
-    token="Cw_naEZyvJ3isiAh1P4Eq3TsjcHmzzDFS7SlbKDsS6ZWL04fMEYixWqtNxGThDdG27S9aW5g7FP9eiq5z1rsGA==",
-    org="allmende",
-    bucket="allmende_db"
-)
-
-hp_master = HeatPump(device_name='hp_master', ip_address='10.0.0.10', port=502)
-hp_slave = HeatPump(device_name='hp_slave', ip_address='10.0.0.11', port=502)
-shelly = ShellyPro3m(device_name='wohnung_2_6', ip_address='192.168.1.121')
-wr = PvInverter(device_name='solaredge_master', ip_address='192.168.1.112')
-meter = SolaredgeMeter(device_name='solaredge_meter', ip_address='192.168.1.112')
-
-es.add_components(hp_master, hp_slave, shelly, wr, meter)
-controller = SgReadyController(es)
 
 while True:
     now = datetime.now()
-    if now.second % interval_seconds == 0 and now.microsecond < 100_000:
+    if now.second % interval == 0 and now.microsecond < 100_000:
-        state = es.get_state_and_store_to_database(db)
+       db.store_data(hp.get_data())
-        mode = controller.perform_action(heat_pump_name='hp_master', meter_name='solaredge_meter', state=state)
 
-        if mode == 'mode1':
-            mode_as_binary = 0
-        else:
-            mode_as_binary = 1
-        db.store_data('sg_ready', {'mode': mode_as_binary})
     time.sleep(0.1)
 

pv_inverter.py

@@ -1,139 +0,0 @@
-import time
-import struct
-import pandas as pd
-from typing import Dict, Any, List, Tuple, Optional
-from pymodbus.client import ModbusTcpClient
-
-EXCEL_PATH = "modbus_registers/pv_inverter_registers.xlsx"
-
-# Obergrenze: bis EXKLUSIVE 40206 (d.h. max. 40205)
-MAX_ADDR_EXCLUSIVE = 40121
-
-class PvInverter:
-    def __init__(self, device_name: str, ip_address: str, port: int = 502, unit: int = 1):
-        self.device_name = device_name
-        self.ip = ip_address
-        self.port = port
-        self.unit = unit
-        self.client: Optional[ModbusTcpClient] = None
-        self.registers: Dict[int, Dict[str, Any]] = {}  # addr -> {"desc":..., "type":...}
-        self.connect_to_modbus()
-        self.load_registers(EXCEL_PATH)
-
-    # ---------- Verbindung ----------
-    def connect_to_modbus(self):
-        self.client = ModbusTcpClient(self.ip, port=self.port, timeout=3.0, retries=3)
-        if not self.client.connect():
-            print("❌ Verbindung zu Wechselrichter fehlgeschlagen.")
-            raise SystemExit(1)
-        print("✅ Verbindung zu Wechselrichter hergestellt.")
-
-    def close(self):
-        if self.client:
-            self.client.close()
-            self.client = None
-
-    # ---------- Register-Liste ----------
-    def load_registers(self, excel_path: str):
-        xls = pd.ExcelFile(excel_path)
-        df = xls.parse()
-        # Passe Spaltennamen hier an, falls nötig:
-        cols = ["MB Adresse", "Beschreibung", "Variabel Typ"]
-        df = df[cols].dropna()
-        df["MB Adresse"] = df["MB Adresse"].astype(int)
-
-        # 1) Vorab-Filter: nur Adressen < 40206 übernehmen
-        df = df[df["MB Adresse"] < MAX_ADDR_EXCLUSIVE]
-
-        self.registers = {
-            int(row["MB Adresse"]): {
-                "desc": str(row["Beschreibung"]).strip(),
-                "type": str(row["Variabel Typ"]).strip()
-            }
-            for _, row in df.iterrows()
-        }
-
-
-    # ---------- Low-Level Lesen ----------
-    def _try_read(self, fn_name: str, address: int, count: int) -> Optional[List[int]]:
-        fn = getattr(self.client, fn_name)
-        # pymodbus 3.8.x hat 'slave='; Fallbacks schaden nicht
-        for kwargs in (dict(address=address, count=count, slave=self.unit),
-                       dict(address=address, count=count)):
-            try:
-                res = fn(**kwargs)
-                if res is None or (hasattr(res, "isError") and res.isError()):
-                    continue
-                return res.registers
-            except TypeError:
-                continue
-        return None
-
-    def _read_any(self, address: int, count: int) -> Optional[List[int]]:
-        regs = self._try_read("read_holding_registers", address, count)
-        if regs is None:
-            regs = self._try_read("read_input_registers", address, count)
-        return regs
-
-    # ---------- Decoding ----------
-    @staticmethod
-    def _to_i16(u16: int) -> int:
-        return struct.unpack(">h", struct.pack(">H", u16))[0]
-
-    @staticmethod
-    def _to_f32_from_two(u16_hi: int, u16_lo: int, msw_first: bool = True) -> float:
-        b = struct.pack(">HH", u16_hi, u16_lo) if msw_first else struct.pack(">HH", u16_lo, u16_hi)
-        return struct.unpack(">f", b)[0]
-
-    # Hilfsfunktion: wie viele 16-Bit-Register braucht dieser Typ?
-    @staticmethod
-    def _word_count_for_type(rtype: str) -> int:
-        rt = (rtype or "").lower()
-        # Passe hier an deine Excel-Typen an:
-        if "uint32" in rt or "real" in rt or "float" in rt or "string(32)" in rt:
-            return 2
-        # Default: 1 Wort (z.B. int16/uint16)
-        return 1
-
-    def read_one(self, address_excel: int, rtype: str) -> Optional[float]:
-        """
-        Liest einen Wert nach Typ ('INT' oder 'REAL' etc.).
-        Es werden ausschließlich Register < 40206 gelesen.
-        """
-        addr = int(address_excel)
-        words = self._word_count_for_type(rtype)
-
-        # 2) Harte Grenze prüfen: höchstes angefasstes Register muss < 40206 sein
-        if addr + words - 1 >= MAX_ADDR_EXCLUSIVE:
-            # Überspringen, da der Lesevorgang die Grenze >= 40206 berühren würde
-            return None
-
-        if words == 2:
-            regs = self._read_any(addr, 2)
-            if not regs or len(regs) < 2:
-                return None
-            # Deine bisherige Logik interpretiert 2 Worte als Float32:
-            return self._to_f32_from_two(regs[0], regs[1])
-        else:
-            regs = self._read_any(addr, 1)
-            if not regs:
-                return None
-            return float(self._to_i16(regs[0]))
-
-    def get_state(self) -> Dict[str, Any]:
-        """
-        Liest ALLE Register aus self.registers und gibt dict zurück.
-        Achtet darauf, dass keine Adresse (inkl. Mehrwort) >= 40206 gelesen wird.
-        """
-        data = {"Zeit": time.strftime("%Y-%m-%d %H:%M:%S")}
-        for address, meta in sorted(self.registers.items()):
-            words = self._word_count_for_type(meta["type"])
-            # 3) Nochmals Schutz auf Ebene der Iteration:
-            if address + words - 1 >= MAX_ADDR_EXCLUSIVE:
-                continue
-            val = self.read_one(address, meta["type"])
-            if val is None:
-                continue
-            key = f"{address} - {meta['desc']}"
-            data[key] = val
-        return data

requirements.txt

@@ -1,4 +1,3 @@
 pymodbus~=3.8.6
 pandas
-openpyxl
+openpyxl
-sshtunnel

sg_ready_controller.py

@@ -1,65 +0,0 @@
-from pymodbus.client import ModbusTcpClient
-
-class SgReadyController():
-    def __init__(self, es):
-        self.es = es
-
-    def perform_action(self, heat_pump_name, meter_name, state):
-        hp = self.es.get_component_by_name(heat_pump_name)
-        meter_values = state[meter_name]
-
-        power_to_grid = meter_values['40206 - M_AC_Power'] * 10 ** meter_values['40210 - M_AC_Power_SF']
-        mode = None
-        if power_to_grid > 10000:
-            mode = 'mode2'
-            self.switch_sg_ready_mode(hp.ip, hp.port, mode)
-        elif power_to_grid < 0:
-            mode = 'mode1'
-            self.switch_sg_ready_mode(hp.ip, hp.port, mode)
-
-        return mode
-
-    def switch_sg_ready_mode(self, ip, port, mode):
-        """
-        Register 300: 1=BUS 0= Hardware Kontakte
-        Register 301 & 302:
-            0-0= Kein Offset
-            0-1 Boiler und Heizung Offset
-            1-1 Boiler Offset + E-Einsatz Sollwert Erhöht
-            1-0 SG EVU Sperre
-        :param ip:
-        :param mode:
-        'mode1' = [True, False, False] => SG Ready deactivated
-        'mode2' = [True, False, True] => SG ready activated for heatpump only
-        'mode3' = [True, True, True] => SG ready activated for heatpump and heat rod
-        :return:
-        """
-        client = ModbusTcpClient(ip, port=port)
-        if not client.connect():
-            print("Verbindung zur Wärmepumpe fehlgeschlagen.")
-            return
-
-        mode_code = None
-        if mode == 'mode1':
-            mode_code = [True, False, False]
-        elif mode == 'mode2':
-            mode_code = [True, False, True]
-        elif mode == 'mode3':
-            mode_code = [True, True, True]
-        else:
-            print('Uncorrect or no string for mode!')
-
-        try:
-            response_300 = client.write_coil(300, mode_code[0])
-            response_301 = client.write_coil(301, mode_code[1])
-            response_302 = client.write_coil(302, mode_code[2])
-
-            # Optional: Rückmeldungen prüfen
-            for addr, resp in zip([300, 301, 302], [response_300, response_301, response_302]):
-                if resp.isError():
-                    print(f"Fehler beim Schreiben von Coil {addr}: {resp}")
-                else:
-                    print(f"Coil {addr} erfolgreich geschrieben.")
-
-        finally:
-            client.close()

shelly_pro_3m.py

@@ -1,64 +0,0 @@
-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

solaredge_meter.py

@@ -1,134 +0,0 @@
-import time
-import struct
-import pandas as pd
-from typing import Dict, Any, List, Tuple, Optional
-from pymodbus.client import ModbusTcpClient
-
-EXCEL_PATH = "modbus_registers/pv_inverter_registers.xlsx"
-
-# Obergrenze: bis EXKLUSIVE 40206 (d.h. max. 40205)
-MIN_ADDR_INCLUSIVE = 40121
-ADDRESS_SHIFT = 50
-
-class SolaredgeMeter:
-    def __init__(self, device_name: str, ip_address: str, port: int = 502, unit: int = 1):
-        self.device_name = device_name
-        self.ip = ip_address
-        self.port = port
-        self.unit = unit
-        self.client: Optional[ModbusTcpClient] = None
-        self.registers: Dict[int, Dict[str, Any]] = {}  # addr -> {"desc":..., "type":...}
-        self.connect_to_modbus()
-        self.load_registers(EXCEL_PATH)
-
-    # ---------- Verbindung ----------
-    def connect_to_modbus(self):
-        self.client = ModbusTcpClient(self.ip, port=self.port, timeout=3.0, retries=3)
-        if not self.client.connect():
-            print("❌ Verbindung zu Zähler fehlgeschlagen.")
-            raise SystemExit(1)
-        print("✅ Verbindung zu Zähler hergestellt.")
-
-    def close(self):
-        if self.client:
-            self.client.close()
-            self.client = None
-
-    # ---------- Register-Liste ----------
-    def load_registers(self, excel_path: str):
-        xls = pd.ExcelFile(excel_path)
-        df = xls.parse()
-        # Passe Spaltennamen hier an, falls nötig:
-        cols = ["MB Adresse", "Beschreibung", "Variabel Typ"]
-        df = df[cols].dropna()
-        df["MB Adresse"] = df["MB Adresse"].astype(int)
-
-        # 1) Vorab-Filter: nur Adressen < 40206 übernehmen
-        df = df[df["MB Adresse"] >= MIN_ADDR_INCLUSIVE]
-
-        self.registers = {
-            int(row["MB Adresse"]): {
-                "desc": str(row["Beschreibung"]).strip(),
-                "type": str(row["Variabel Typ"]).strip()
-            }
-            for _, row in df.iterrows()
-        }
-
-
-    # ---------- Low-Level Lesen ----------
-    def _try_read(self, fn_name: str, address: int, count: int) -> Optional[List[int]]:
-        fn = getattr(self.client, fn_name)
-        # pymodbus 3.8.x hat 'slave='; Fallbacks schaden nicht
-        shifted_addr = address + ADDRESS_SHIFT
-        for kwargs in (dict(address=shifted_addr, count=count, slave=self.unit),
-                       dict(address=shifted_addr, count=count)):
-            try:
-                res = fn(**kwargs)
-                if res is None or (hasattr(res, "isError") and res.isError()):
-                    continue
-                return res.registers
-            except TypeError:
-                continue
-        return None
-
-    def _read_any(self, address: int, count: int) -> Optional[List[int]]:
-        regs = self._try_read("read_holding_registers", address, count)
-        if regs is None:
-            regs = self._try_read("read_input_registers", address, count)
-        return regs
-
-    # ---------- Decoding ----------
-    @staticmethod
-    def _to_i16(u16: int) -> int:
-        return struct.unpack(">h", struct.pack(">H", u16))[0]
-
-    @staticmethod
-    def _to_f32_from_two(u16_hi: int, u16_lo: int, msw_first: bool = True) -> float:
-        b = struct.pack(">HH", u16_hi, u16_lo) if msw_first else struct.pack(">HH", u16_lo, u16_hi)
-        return struct.unpack(">f", b)[0]
-
-    # Hilfsfunktion: wie viele 16-Bit-Register braucht dieser Typ?
-    @staticmethod
-    def _word_count_for_type(rtype: str) -> int:
-        rt = (rtype or "").lower()
-        # Passe hier an deine Excel-Typen an:
-        if "uint32" in rt or "real" in rt or "float" in rt or "string(32)" in rt:
-            return 2
-        # Default: 1 Wort (z.B. int16/uint16)
-        return 1
-
-    def read_one(self, address_excel: int, rtype: str) -> Optional[float]:
-        """
-        Liest einen Wert nach Typ ('INT' oder 'REAL' etc.).
-        Es werden ausschließlich Register < 40206 gelesen.
-        """
-        addr = int(address_excel)
-        words = self._word_count_for_type(rtype)
-
-        if words == 2:
-            regs = self._read_any(addr, 2)
-            if not regs or len(regs) < 2:
-                return None
-            # Deine bisherige Logik interpretiert 2 Worte als Float32:
-            return self._to_f32_from_two(regs[0], regs[1])
-        else:
-            regs = self._read_any(addr, 1)
-            if not regs:
-                return None
-            return float(self._to_i16(regs[0]))
-
-    def get_state(self) -> Dict[str, Any]:
-        """
-        Liest ALLE Register aus self.registers und gibt dict zurück.
-        Achtet darauf, dass keine Adresse (inkl. Mehrwort) >= 40206 gelesen wird.
-        """
-        data = {"Zeit": time.strftime("%Y-%m-%d %H:%M:%S")}
-        for address, meta in sorted(self.registers.items()):
-            words = self._word_count_for_type(meta["type"])
-
-            val = self.read_one(address, meta["type"])
-            if val is None:
-                continue
-            key = f"{address} - {meta['desc']}"
-            data[key] = val
-        return data