Update index.py

index.py

@@ -195,6 +195,7 @@ app.layout = dbc.Container([
     Output('pie-container-1', 'figure'),
     Output('line-graph-2', 'figure'),
     Output('pie-container-2', 'figure'),
+    Output('headlines-table', 'data'),
     Input("topic-selector", "value"),
     Input("domain-selector", "value"),
     Input('date-range', 'start_date'),
@@ -323,8 +324,16 @@ def update_output(selected_topic, selected_domain, start_date, end_date):
         )
         # pie_chart_2 = dcc.Graph(figure=fig)
         # pie_chart_2 = html.Div(fig,className='four columns')
-            
-        return line_fig_1, bar_fig_1, pie_chart_1, line_fig_2, pie_chart_2
+       
+        # Convert FinBERT_label to categorical for better sorting
+        df_filtered['FinBERT_label'] = pd.Categorical(df_filtered['FinBERT_label'],
+                                                      categories=['positive', 'neutral', 'negative'],
+                                                      ordered=True)
+
+        # Sort DataFrame by sentiment label and date
+        df_filtered = df_filtered.sort_values(by=['FinBERT_label', 'date'])
+
+        return line_fig_1, bar_fig_1, pie_chart_1, line_fig_2, pie_chart_2, df_filtered.to_dict('records')
     else:
         return {'data': []},{'data': []} ,{'data': []} ,{'data': []} , {'data': []}
     
@@ -350,30 +359,17 @@ def update_output(selected_topic, selected_domain, start_date, end_date):
 #     dff = df[df.country==value]
 #     return px.line(dff, x='year', y='pop')
 
-# Define callback function for updating the headlines table
-@app.callback(
-    Output('headlines-table', 'data'),
-    Input("topic-selector", "value"),
-    Input("domain-selector", "value"),
-    Input('date-range', 'start_date'),
-    Input('date-range', 'end_date')
-)
-def update_headlines_table(selected_topic, selected_domain, start_date, end_date):
-    # Filtering data...
-    df_filtered = df[(df['Topic'] == selected_topic) &
-                    (df['domain_folder_name'] == selected_domain) &
-                    (df['date'] >= start_date) &
-                    (df['date'] <= end_date)]
-
-    # Convert FinBERT_label to categorical for better sorting
-    df_filtered['FinBERT_label'] = pd.Categorical(df_filtered['FinBERT_label'],
-                                                  categories=['positive', 'neutral', 'negative'],
-                                                  ordered=True)
-
-    # Sort DataFrame by sentiment label and date
-    df_filtered = df_filtered.sort_values(by=['FinBERT_label', 'date'])
-
-    return df_filtered.to_dict('records')
+# # Define callback function for updating the headlines table
+# @app.callback(
+#     Output('headlines-table', 'data'),
+#     Input("topic-selector", "value"),
+#     Input("domain-selector", "value"),
+#     Input('date-range', 'start_date'),
+#     Input('date-range', 'end_date')
+# )
+# def update_headlines_table(selected_topic, selected_domain, start_date, end_date):
+#     # Filtering data...
+    
     
 if __name__ == '__main__':
     app.run_server(debug=True)