Update app.py

app.py

@@ -15,7 +15,7 @@ from plotting import (
 def load_timeseries_data_for_month(month):
     start_date = pd.to_datetime(month).strftime('%Y-%m-01')
     end_date = (pd.to_datetime(month) + pd.offsets.MonthEnd()).strftime('%Y-%m-%d')
-    file_name = f"timeseries_chunks/enel_timeseries_data_{start_date}_{end_date}.csv"
+    file_name = f"enel_timeseries_data_{start_date}_{end_date}.csv"
     if not os.path.exists(file_name):
         return None
     return pd.read_csv(file_name, index_col=0, header=[0, 1, 2], parse_dates=True)
@@ -23,7 +23,7 @@ def load_timeseries_data_for_month(month):
 def load_other_features_data_for_month(month):
     start_date = pd.to_datetime(month).strftime('%Y-%m-01')
     end_date = (pd.to_datetime(month) + pd.offsets.MonthEnd()).strftime('%Y-%m-%d')
-    file_name = f"other_features_chunks/enel_other_features_data_{start_date}_{end_date}.csv"
+    file_name = f"enel_other_features_data_{start_date}_{end_date}.csv"
     if not os.path.exists(file_name):
         return None
     return pd.read_csv(file_name, index_col=0, header=0, parse_dates=True)
@@ -32,11 +32,11 @@ def load_other_features_data_for_month(month):
 months = pd.date_range(start='2022-09-01', end='2023-08-31', freq='MS').strftime('%Y-%m').tolist()
 
 kpi_data = pd.read_csv(
-    r"data/kpi_data.csv", index_col=0, header=0, parse_dates=True
+    r"kpi_data.csv", index_col=0, header=0, parse_dates=True
 )
 
 daily_timeseries_data = pd.read_csv(
-    r"data/daily_aggregated_timeseries_data.csv",
+    r"daily_aggregated_timeseries_data.csv",
     index_col=0,
     header=0,
     parse_dates=True,