Manual edits to remove remaining code style errors

Dockerfile

@@ -19,7 +19,7 @@ COPY requirements.txt requirements.txt
 RUN pip install --no-cache-dir -r requirements.txt
 
 COPY . .
-COPY config.example.py config.py
+COPY config.py config.py
 
 ENTRYPOINT []
 

README-DE.md

@@ -27,7 +27,8 @@ Unter Macos (benötigt [Homebrew](https://brew.sh)):
 brew install make
 ```
 
-Nun `config.example.py` anpassen und dann in `config.py` umbennenen. Anschließend kann der Server über `make run` gestartet werden.
+Nun `config.py` anpassen.
+Anschließend kann der Server über `make run` gestartet werden.
 Eine vollständige Übersicht über die wichtigsten Kurzbefehle gibt `make help`.
 
 ### Ausführliche Anleitung
@@ -76,7 +77,7 @@ gefolgt von einem erneuten `pip install -r requirements.txt`.
 
 ## Nutzung
 
-`config.example.py` anpassen und dann in config.py umbennenen
+Einstellungen in `config.py` anpassen.
 Um das System zu nutzen, führen Sie `flask_server.py` aus, damit wird der Server gestartet
 
 

README.md

@@ -27,7 +27,8 @@ On MacOS (requires [Homebrew](https://brew.sh)):
 brew install make
 ```
 
-Next, adjust `config.example.py` and rename it to `config.py`. The server can then be started with `make run`. A full overview of the main shortcuts is given by `make help`.
+Next, adjust `config.py`.
+The server can then be started with `make run`. A full overview of the main shortcuts is given by `make help`.
 
 ### Detailed Instructions
 
@@ -71,7 +72,8 @@ Followed by a renewed `pip install -r requirements.txt`.
 
 ## Usage
 
-Adjust `config.example.py` and rename it to `config.py`. To use the system, run `flask_server.py`, which starts the server:
+Adjust `config.py`.
+To use the system, run `flask_server.py`, which starts the server:
 
 ```bash
 ./flask_server.py

config.example.py → config.py

@@ -27,7 +27,7 @@ def get_start_enddate(prediction_hours=48, startdate=None):
     ############
     # Parameter
     ############
-    if startdate == None:
+    if startdate is None:
         date = (datetime.now().date() + timedelta(hours=prediction_hours)).strftime(
             "%Y-%m-%d"
         )

flask_server.py

@@ -1,30 +1,28 @@
 #!/usr/bin/env python3
 
 import os
+import sys
+from datetime import datetime
 
 import matplotlib
 
-matplotlib.use(
-    "Agg"
-)  # Sets the Matplotlib backend to 'Agg' for rendering plots in environments without a display
-from datetime import datetime, timedelta
+# Sets the Matplotlib backend to 'Agg' for rendering plots in environments without a display
+matplotlib.use("Agg")
+from datetime import timedelta
 
 import pandas as pd
-from config import *
 from flask import Flask, jsonify, redirect, request, send_from_directory, url_for
 
-from modules.class_akku import *
-from modules.class_ems import *
-from modules.class_heatpump import *
-from modules.class_load import *
-from modules.class_load_container import *
-from modules.class_load_corrector import *
-from modules.class_optimize import *
-from modules.class_pv_forecast import *
-from modules.class_soc_calc import *
-from modules.class_sommerzeit import *
-from modules.class_strompreis import *
-from modules.visualize import *
+from modules.class_load import LoadForecast
+from modules.class_load_container import Gesamtlast
+from modules.class_load_corrector import LoadPredictionAdjuster
+from modules.class_optimize import isfloat, optimization_problem
+from modules.class_pv_forecast import PVForecast
+from modules.class_soc_calc import BatteryDataProcessor
+from modules.class_strompreis import HourlyElectricityPriceForecast
+
+sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
+from config import db_config, get_start_enddate, optimization_hours, prediction_hours
 
 app = Flask(__name__)
 

modules/class_load_corrector.py

@@ -1,6 +1,3 @@
-import os
-import sys
-
 import matplotlib.pyplot as plt
 import numpy as np
 import pandas as pd
@@ -16,12 +13,6 @@
 # from sklearn.preprocessing import MinMaxScaler
 # from sqlalchemy import create_engine
 
-# Add the parent directory to sys.path
-sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
-from config import *
-
-from modules.class_load import *
-
 
 class LoadPredictionAdjuster:
     def __init__(self, measured_data, predicted_data, load_forecast):

modules/class_optimize.py

@@ -1,34 +1,29 @@
 import os
+import sys
 
 import matplotlib
 import numpy as np
 
-from modules.class_akku import *
-from modules.class_ems import *
-from modules.class_haushaltsgeraet import *
-from modules.class_heatpump import *
-from modules.class_inverter import *
-from modules.class_load import *
-from modules.class_load_container import *
-from modules.class_pv_forecast import *
-from modules.class_sommerzeit import *
-from modules.visualize import *
+from modules.class_akku import PVAkku
+from modules.class_ems import EnergieManagementSystem, Wechselrichter
+from modules.class_haushaltsgeraet import Haushaltsgeraet
+from modules.visualize import visualisiere_ergebnisse
 
 matplotlib.use("Agg")  # Setzt das Backend auf Agg
 import random
-from datetime import datetime
+from datetime import datetime, timedelta
 
 from deap import algorithms, base, creator, tools
 
 sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
-from config import *
+from config import moegliche_ladestroeme_in_prozent
 
 
 def isfloat(num):
     try:
         float(num)
         return True
-    except:
+    except ValueError:
         return False
 
 
@@ -213,7 +208,7 @@ def evaluate_inner(self, individual, ems, start_hour):
     def evaluate(self, individual, ems, parameter, start_hour, worst_case):
         try:
             o = self.evaluate_inner(individual, ems, start_hour)
-        except:
+        except Exception:
             return (100000.0,)
 
         gesamtbilanz = o["Gesamtbilanz_Euro"]
@@ -339,7 +334,7 @@ def optimierung_ems(
         ############
         # Parameter
         ############
-        if startdate == None:
+        if startdate is None:
             date = (
                 datetime.now().date() + timedelta(hours=self.prediction_hours)
             ).strftime("%Y-%m-%d")
@@ -437,7 +432,7 @@ def optimierung_ems(
         ##############
         opti_param = {}
         opti_param["haushaltsgeraete"] = 0
-        if spuelmaschine != None:
+        if spuelmaschine is not None:
             opti_param["haushaltsgeraete"] = 1
 
         self.setup_deap_environment(opti_param, start_hour)

modules/class_pv_forecast.py

@@ -69,7 +69,9 @@ def __init__(self, filepath=None, url=None, cache_dir="cache", prediction_hours=
                 f"Die Vorhersage muss mindestens {self.prediction_hours} Stunden umfassen, aber es wurden nur {len(self.forecast_data)} Stunden vorhergesagt."
             )
 
-    def update_ac_power_measurement(self, date_time=None, ac_power_measurement=None):
+    def update_ac_power_measurement(
+        self, date_time=None, ac_power_measurement=None
+    ) -> bool:
         found = False
         input_date_hour = date_time.replace(minute=0, second=0, microsecond=0)
 
@@ -81,6 +83,7 @@ def update_ac_power_measurement(self, date_time=None, ac_power_measurement=None)
                 forecast.ac_power_measurement = ac_power_measurement
                 found = True
                 break
+        return found
 
     def process_data(self, data):
         self.meta = data.get("meta", {})

modules/class_soc_calc.py

@@ -295,6 +295,7 @@ def plot_data(self, last_points_100_df, last_points_0_df, soc_df):
 
 if __name__ == "__main__":
     # MariaDB Verbindungsdetails
+    config = {}
 
     # Parameter festlegen
     voltage_high_threshold = 55.4  # 100% SoC

modules/visualize.py

@@ -6,7 +6,7 @@
 import numpy as np
 from matplotlib.backends.backend_pdf import PdfPages
 
-from modules.class_sommerzeit import *  # Ensure this matches the actual import path
+from modules.class_sommerzeit import ist_dst_wechsel
 
 matplotlib.use("Agg")
 

pyproject.toml

@@ -1,2 +1,7 @@
 [tool.isort]
 profile = "black"
+
+[tool.ruff.lint]
+ignore = [
+    "F841",  # don't complain about unused variables
+]

test.py

@@ -4,7 +4,6 @@
 
 # Import necessary modules from the project
 from modules.class_optimize import optimization_problem
-from modules.visualize import *
 
 start_hour = 10