Update_Graph.py

def update_graph(input_value):
  
## ORM-based SQL Query with dynamic filters in the callback
   stmt = select([
           sensor_table.columns.MeasurementDateTime,
           sensor_table.columns.LongMovingAverage,
           sensor_table.columns.SensorLocation
           ]).where(and_(
               sensor_table.columns.SensorMeasurement == input_value
           ))
 
   ## Read data via pandas or just raw Dict/array
   ## TIPS: Always try to push the filtering/complex logic down to the system where the most data is filtered
   ## minimize data brought to client
   df = pd.read_sql_query(stmt, engine).sort_values(by=['MeasurementDateTime'])
   
   fig_line = px.line(df, x="MeasurementDateTime",
            y="LongMoving Average",
            color="SensorLocation",
            title=f'Sensor Value Moving Averages Over Time for : {input_value}')