Update app.py

app.py

@@ -16,12 +16,16 @@ def load_timeseries_data(start_date, end_date):
     start_date_str = pd.to_datetime(start_date).strftime('%Y-%m-%d')
     end_date_str = (pd.to_datetime(start_date) + pd.offsets.MonthEnd()).strftime('%Y-%m-%d')
     file_name = f"enel_timeseries_data_{start_date_str}_{end_date_str}.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)
 
 def load_other_features_data(start_date, end_date):
     start_date_str = pd.to_datetime(start_date).strftime('%Y-%m-%d')
     end_date_str = (pd.to_datetime(start_date) + pd.offsets.MonthEnd()).strftime('%Y-%m-%d')
     file_name = f"enel_other_features_data_{start_date_str}_{end_date_str}.csv"
+    if not os.path.exists(file_name):
+        return None
     return pd.read_csv(file_name, index_col=0, header=0, parse_dates=True)
 
 # Define the start and end dates
@@ -32,6 +36,13 @@ kpi_data = pd.read_csv(
     r"kpi_data.csv", index_col=0, header=0, parse_dates=True
 )
 
+daily_timeseries_data = pd.read_csv(
+    r"daily_aggregated_timeseries_data.csv",
+    index_col=0,
+    header=0,
+    parse_dates=True,
+)
+
 # Initialize Panel extension
 pn.extension("plotly")
 
@@ -40,7 +51,7 @@ date_range_picker = pn.widgets.DateRangePicker(
     name='Date Range', 
     start=start_date, 
     end=end_date,
-    value=(start_date, start_date + pd.DateOffset(months=1).date())
+    value=(start_date, (start_date + pd.DateOffset(months=1)).date())
 )
 
 inverter_ids = pn.widgets.MultiSelect(
@@ -61,7 +72,7 @@ heatmap_voltage = pn.widgets.Checkbox(name="Heat Map - Voltage", value=False)
 heatmap_power = pn.widgets.Checkbox(name="Heat Map - Power", value=False)
 heatmap_irradiance = pn.widgets.Checkbox(name="Heat Map - Irradiance", value=False)
 heatmap_temperature = pn.widgets.Checkbox(
-    name="Heat Map - Temperature " "Heatsink", value=False
+    name="Heat Map - Temperature Heatsink", value=False
 )
 
 # Create a loading spinner
@@ -161,7 +172,7 @@ def update_heatmap_irradiance(heatmap_irradiance):
     if heatmap_irradiance:
         irradiance_df = daily_timeseries_data.filter(like="G")
         irradiance_df.columns = [i.split("-")[1] for i in irradiance_df.columns]
-        irradiance_heatmap = create_heatmap(irradiance_df, "Irradiance " "Heatmap")
+        irradiance_heatmap = create_heatmap(irradiance_df, "Irradiance Heatmap")
         return pn.Row(irradiance_heatmap)
     return pn.pane.Markdown("")
 
@@ -179,6 +190,7 @@ def update_heatmap_temperature(heatmap_temperature):
 # Create dashboard layout
 dashboard = pn.Column(
     "# ENEL Dashboard",
+    date_range_picker,
     # IV Plots
     pn.Row(
         pn.Column(inverter_ids, plot_power_curves, plot_temperature_curves),