Update local_test.py

local_test.py

@@ -1,15 +1,29 @@
-### This file is used to test the aurora inverter (via TCP) locally without Homeassistant.
-
 from aurorapy.client import AuroraTCPClient, AuroraError
 import json
 from datetime import datetime, timedelta
+import time
 
 # Konfiguration
 TARGET_IP = "192.168.250.245"
 TARGET_PORT = 5000
 INVERTER_ADDRESS = 2  # Slave-ID deines Wechselrichters
 
-def test_comprehensive_data():
+def measure_with_retry(client, code, retries=2):
+    for attempt in range(retries + 1):
+        try:
+            value = client.measure(code)
+            # Filtere nur extrem kleine oder extrem große Werte, die offensichtlich unplausibel sind
+            if (abs(value) < 1e-30 and value != 0.0) or abs(value) > 1e10:
+                return "Wert unplausibel"
+            return value
+        except AuroraError as e:
+            if "Reading Timeout" in str(e) and attempt < retries:
+                time.sleep(1)  # Warte 1 Sekunde vor dem nächsten Versuch
+                continue
+            return f"Fehler: {str(e)}"
+    return "Maximale Anzahl von Wiederholungen erreicht"
+
+def test_comprehensive_data_all_measures():
     try:
         client = AuroraTCPClient(ip=TARGET_IP, port=TARGET_PORT, address=INVERTER_ADDRESS, timeout=10)
         client.connect()
@@ -19,9 +33,29 @@ def test_comprehensive_data():
 
         # 50: State Request
         try:
-            data["state"] = client.state_request()
+            data["global_state"] = client.state(1)
         except AttributeError:
-            data["state"] = "Methode nicht verfügbar"
+            data["global_state"] = "Methode nicht verfügbar"
+
+        try:
+            data["inverter_state"] = client.state(2)
+        except AttributeError:
+            data["inverter_state"] = "Methode nicht verfügbar"
+
+        try:
+            data["DCDC_ch1_state"] = client.state(3)
+        except AttributeError:
+            data["DCDC_ch1_state"] = "Methode nicht verfügbar"
+
+        try:
+            data["DCDC_ch2_state"] = client.state(4)
+        except AttributeError:
+            data["DCDC_ch2_state"] = "Methode nicht verfügbar"
+
+        try:
+            data["alarm_state"] = client.state(5)
+        except AttributeError:
+            data["alarm_state"] = "Methode nicht verfügbar"
 
         # 58: Version Reading
         try:
@@ -49,8 +83,6 @@ def test_comprehensive_data():
             data["daily_energy_float"] = client.cumulated_energy(period=1)
             data["week_energy_float"] = client.cumulated_energy(period=2)
             data["month_energy_float"] = client.cumulated_energy(period=3)
-            data["year_energy_float_global"] = client.cumulated_energy(period=4, global_measure=True)
-            data["total_energy_float_global"] = client.cumulated_energy(period=6, global_measure=True)
         except AttributeError:
             data["cumulated_float_energy"] = "Methode nicht verfügbar"
 
@@ -84,26 +116,75 @@ def test_comprehensive_data():
             data["last_four_alarms"] = "Methode nicht verfügbar"
 
         # 59: Measure Requests
+        measure_codes = {
+            1: "grid_voltage",
+            2: "grid_current",
+            3: "grid_power",
+            4: "frequency",
+            5: "vbulk",
+            6: "ileak_dc_dc",
+            7: "ileak_inverter",
+            8: "pin1",
+            9: "pin2",
+            21: "inverter_temperature",
+            22: "booster_temperature",
+            23: "input_1_voltage",
+            25: "input_1_current",
+            26: "input_2_voltage",
+            27: "input_2_current",
+            28: "grid_voltage_dc_dc",
+            29: "grid_frequency_dc_dc",
+            30: "isolation_resistance",
+            31: "vbulk_dc_dc",
+            32: "average_grid_voltage",
+            33: "vbulk_mid",
+            34: "power_peak",
+            35: "power_peak_today",
+            36: "grid_voltage_neutral",
+            37: "wind_generator_frequency",
+            38: "grid_voltage_neutral_phase",
+            39: "grid_current_phase_r",
+            40: "grid_current_phase_s",
+            41: "grid_current_phase_t",
+            42: "frequency_phase_r",
+            43: "frequency_phase_s",
+            44: "frequency_phase_t",
+            45: "vbulk_plus",
+            46: "vbulk_minus",
+            47: "supervisor_temperature",
+            48: "alim_temperature",
+            49: "heat_sink_temperature",
+            50: "temperature_1",
+            51: "temperature_2",
+            52: "temperature_3",
+            53: "fan_1_speed",
+            54: "fan_2_speed",
+            55: "fan_3_speed",
+            56: "fan_4_speed",
+            57: "fan_5_speed",
+            58: "power_saturation_limit",
+            59: "riferimento_anello_bulk",
+            60: "vpanel_micro",
+            61: "grid_voltage_phase_r",
+            62: "grid_voltage_phase_s",
+            63: "grid_voltage_phase_t"
+        }
+
+        for code, name in measure_codes.items():
             try:
-            data["grid_voltage"] = client.measure(1)
-            data["grid_current"] = client.measure(2)
-            data["grid_power"] = client.measure(3)
-            data["frequency"] = client.measure(4)
-            data["inverter_temperature"] = client.measure(21)
-            data["booster_temperature"] = client.measure(22)
-            data["input_1_voltage"] = client.measure(23)
-            data["input_1_current"] = client.measure(25)
-            data["isolation_resistance"] = client.measure(30)
+                data[name] = measure_with_retry(client, code)
             except AttributeError:
-            data["measure_requests"] = "Methode nicht verfügbar"
+                data[name] = "Methode nicht verfügbar"
+            except Exception as e:
+                data[name] = f"Fehler: {str(e)}"
 
         client.close()
 
         # Daten als JSON speichern
-        with open('comprehensive_data.json', 'w') as f:
+        with open('comprehensive_data_all_measures.json', 'w') as f:
             json.dump(data, f, indent=4)
 
-        print("Daten erfolgreich in 'comprehensive_data.json' gespeichert.")
+        print("Daten erfolgreich in 'comprehensive_data_all_measures.json' gespeichert.")
 
     except AuroraError as e:
         print(f"Fehler bei der Kommunikation: {str(e)}")
@@ -111,4 +192,4 @@ def test_comprehensive_data():
         print(f"Allgemeiner Fehler: {str(e)}")
 
 if __name__ == "__main__":
-    test_comprehensive_data()
+    test_comprehensive_data_all_measures()