diff --git a/src/dashboard.py b/src/dashboard.py
index 79befaad56817d29830be2d542df3954a27fc685..544ae7c39c865c88fef8a8e3181569a28e211bd2 100644
--- a/src/dashboard.py
+++ b/src/dashboard.py
@@ -1,23 +1,24 @@
-from re import A
-from dash import html, dcc, dash_table, Dash
-from dash.dependencies import Input, Output, State, MATCH
+import os
+from datetime import datetime, timedelta
+import oracledb
+import pandas as pd
 import plotly.express as px
 import plotly.graph_objs as go
-import pandas as pd
-from datetime import datetime, timedelta
-from sqlalchemy import create_engine, select, and_, desc
+from dash import Dash, dash_table, dcc, html
+from dash.dependencies import MATCH, Input, Output, State
+from sqlalchemy import and_, create_engine, desc, func, select
 from sqlalchemy.orm import Session
-from utils.db_tools.orm_classes import InputForecasts, Modell, PegelForecasts,Log, ModellSensor, SensorData
-import oracledb
-import os
-from sqlalchemy import select, func
-from dash_tools.style_configs import (create_log_table, 
-                                      create_historical_plot, 
+
+from dash_tools.layout_helper import create_collapsible_section
+from dash_tools.style_configs import (create_historical_plot,
                                       create_historical_table,
-                                      create_input_forecasts_plot,
                                       create_inp_forecast_status_table,
+                                      create_input_forecasts_plot,
+                                      create_log_table,
                                       create_model_forecasts_plot)
-from dash_tools.layout_helper import create_collapsible_section
+from utils.db_tools.orm_classes import (InputForecasts, Log, Modell,
+                                        ModellSensor, PegelForecasts,
+                                        SensorData)
 
 NUM_RECENT_INPUT_FORECASTS = 12
 NUM_RECENT_PEGEL_FORECASTS = 5
@@ -202,7 +203,7 @@ class ForecastMonitor:
                 
                 # Get last 144 hours of sensor data
                 time_threshold = datetime.now() - timedelta(hours=144)
-                time_threshold= pd.to_datetime("2024-09-13 14:00:00.000") - timedelta(hours=144) #TODO rausnehmen
+                #time_threshold= pd.to_datetime("2024-09-13 14:00:00.000") - timedelta(hours=144) #TODO rausnehmen
 
                 stmt = select(SensorData).where(
                     SensorData.tstamp >= time_threshold,