Fix app graphs

app.py

@@ -344,19 +344,25 @@ if (st.session_state.uploaded):
     mape, interpretation = interpret_mape(score['mape'])
     
     merged_data = merge_forecast_data(df['Sales'], fitted_series, future_fitted_series)
-    
+    merged_data_dates = merged_data.copy()
+    merged_data_dates[merged_data_dates.columns[0]] = pd.to_datetime(merged_data_dates[merged_data_dates.columns[0]])
 
     col_charts = st.columns(2)
-    merged_data[merged_data.columns[0]] = pd.to_datetime(merged_data[merged_data.columns[0]])
-    min_date = merged_data[merged_data.columns[0]].min()
-    max_date = merged_data[merged_data.columns[0]].max()
+
+    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()
     with col_charts[0]:
       fig_compare = go.Figure()
       fig_compare.add_trace(go.Scatter(x=merged_data[merged_data.columns[0]], y=merged_data['Actual Sales'], mode='lines', name='Actual Sales'))
       fig_compare.add_trace(go.Scatter(x=merged_data[merged_data.columns[0]], y=merged_data['Predicted Sales'], mode='lines', name='Predicted Sales'))
       fig_compare.update_layout(title='Historical Sales Data', xaxis_title='Date', yaxis_title='Sales')
-      fig_compare.update_xaxes(range=['2020-01-01', '2025-01-01']) # TODO: Change this to be adaptive
-      fig_compare.update_xaxes(range=[min_date, max_date])
+      # fig_compare.update_xaxes(range=[min_date, max_date])
+      fig_compare.update_layout(
+        xaxis=dict(
+            range=[min_date, max_date]  # Set the range of x-axis
+        )
+)
       st.plotly_chart(fig_compare, use_container_width=True)
 
     with col_charts[1]:
@@ -364,8 +370,13 @@ if (st.session_state.uploaded):
       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.update_layout(title='Forecasted Sales Data', xaxis_title='Date', yaxis_title='Sales')
-      fig_forecast.update_xaxes(range=[min_date, max_date])
-      st.plotly_chart(fig_compare, use_container_width=True)
+      # fig_forecast.update_xaxes(range=[min_date, max_date])
+      fig_forecast.update_layout(
+        xaxis=dict(
+          range=[min_date, max_date]  # Set the range of x-axis
+        )
+)
+      st.plotly_chart(fig_forecast, use_container_width=True)
       st.write(f"MAPE score: {mape}% - {interpretation}")
 
     col_table = st.columns(2)