Fix app graph colors and debug

app.py

@@ -199,13 +199,17 @@ def interpret_mape(mape_score):
   score = (mape_score * 100).round(2)
   if score < 10:
     interpretation = "Great"
+    color = "green"
   elif score < 20:
     interpretation = "Good"
+    color = "seagreen"
   elif score < 50:
     interpretation = "Relatively good"
+    color = "orange"
   else:
     interpretation = "Poor"
-  return score, interpretation
+    color = "red"
+  return score, interpretation, color
 
 # TAPAS Model
 
@@ -341,7 +345,7 @@ if (st.session_state.uploaded):
 
     test_y, predictions = np.array(test_y), np.array(fitted)
     score = forecast_accuracy(predictions, test_y)
-    mape, interpretation = interpret_mape(score['mape'])
+    mape, interpretation, mape_color = interpret_mape(score['mape'])
     
     merged_data = merge_forecast_data(df['Sales'], fitted_series, future_fitted_series)
     merged_data_dates = merged_data.copy()
@@ -349,6 +353,7 @@ if (st.session_state.uploaded):
 
     col_charts = st.columns(2)
 
+    print(merged_data[merged_data.columns[0]]) # for debugging
     print(merged_data_dates[merged_data.columns[0]]) # for debugging
     min_date = merged_data_dates[merged_data_dates.columns[0]].min()
     max_date = merged_data_dates[merged_data_dates.columns[0]].max()
@@ -369,6 +374,7 @@ if (st.session_state.uploaded):
       fig_forecast = go.Figure()
       fig_forecast.add_trace(go.Scatter(x=merged_data[merged_data.columns[0]], y=merged_data['Actual Sales'], mode='lines', name='Actual Sales'))
       fig_forecast.add_trace(go.Scatter(x=merged_data[merged_data.columns[0]], y=merged_data['Forecasted Future Sales'], mode='lines', name='Forecasted Future Sales'))
+      fig_forecast.add_trace(go.Scatter(x=merged_data[merged_data.columns[0]], y=merged_data['Forecasted Sales'], mode='lines', name='Forecasted Sales', line=dict(color=mape_color)))
       fig_forecast.update_layout(title='Forecasted Sales Data', xaxis_title='Date', yaxis_title='Sales')
       # fig_forecast.update_xaxes(range=[min_date, max_date])
       fig_forecast.update_layout(