does not crash

v2/app.py

@@ -21,6 +21,9 @@ from bess import BatteryModel
 met_2021_data, cons_2021_data = read_datasets()
 
 
+# TODO move out everything that should not be recalculated.
+# TODO actually use uiParameters.
+# TODO ui_refresh spawns its own Supplier, which is just dumb.
 def recalculate(**uiParameters):
     fixed_consumption = uiParameters['fixed_consumption']
     del uiParameters['fixed_consumption']
@@ -50,11 +53,14 @@ def recalculate(**uiParameters):
     time_interval_h = time_interval_min / 60
 
     # for faster testing:
-    DATASET_TRUNCATED_SIZE = 10000
+    DATASET_TRUNCATED_SIZE = None
     if DATASET_TRUNCATED_SIZE is not None:
         print("Truncating dataset to", DATASET_TRUNCATED_SIZE, "datapoints, that is", DATASET_TRUNCATED_SIZE * time_interval_h / 24, "days")
         all_data = all_data.iloc[:DATASET_TRUNCATED_SIZE]
 
+    if fixed_consumption:
+        all_data['Consumption'] = 10
+
     print("Working with", solar_parameters.solar_cell_num, "solar cells, that's a maximum production of", all_data['Production'].max(), "kW.")
 
     all_data_with_predictions = all_data.copy()
@@ -66,16 +72,14 @@ def recalculate(**uiParameters):
 
     all_data_with_predictions['Consumption_fees'] = precalculated_supplier.consumption_fees # [HUF / kWh]
 
-    battery_model = BatteryModel(capacity_Ah="TAKE THIS FROM UI", time_interval_h=time_interval_h)
+    battery_model = BatteryModel(capacity_Ah=600, time_interval_h=time_interval_h)
 
     # param_1 is prob of choosing PASSIVE
     # param_2 is prob of choosing NETWORK_CHARGE
     decider = RandomDecider(np.array([0.0, 0.0]), precalculated_supplier)
 
-    if fixed_consumption:
-        all_2021_data['Consumption'] = 10
-
-    results = simulator(battery_model, all_data, decider)
+    results, total_network_fee = simulator(battery_model, all_data_with_predictions, decider)
+    print(f"{total_network_fee=}")
     return results
 
 

v2/visualization.py

@@ -86,8 +86,7 @@ def plotly_visualize_simulation(results, date_range):
     return fig
 
 
-def plotly_visualize_monthly(result):
-    consumption = data_processing.monthly_analysis(result)
+def plotly_visualize_monthly(consumption):
     # months = monthly_results.index
     months = list(range(1, 13))
     fig = go.Figure()