added more data checks for fundamentals

pages/1_Fundamentals.py

@@ -124,12 +124,12 @@ with st.form(key="selecting columns"):
             metric_data, annual_series_data, quarterly_series_data  = get_company_metrics(ticker)
 
             # reformat all JSON returns to be flattened dictionaries 
-            roe_dict = {'roe': annual_series_data['roe'][0]['v'] if 'roe' in annual_series_data else 0}
-            eps_dict = {'eps' :annual_series_data['eps'][0]['v'] if 'eps' in annual_series_data else 0}
-            pe_dict = {'pe': annual_series_data['pe'][0]['v'] if 'pe' in annual_series_data else 0}
-            ps_dict = {'ps': annual_series_data['ps'][0]['v'] if 0 in annual_series_data['ps'] else 0}
-            pb_dict = {'pb': annual_series_data['pb'][0]['v'] if 'pb' in annual_series_data else 0}
-            pfcf_dict = {'pfcf': annual_series_data['pfcf'][0]['v'] if 'pfcf' in annual_series_data else 0}
+            roe_dict = {'roe': annual_series_data['roe'][0]['v']*100 if ('roe' in annual_series_data) and (len(annual_series_data['roe'])>1) and ('v' in annual_series_data['roe'][0]) else 0}
+            eps_dict = {'eps' :annual_series_data['eps'][0]['v'] if ('eps' in annual_series_data) and (len(annual_series_data['eps'])>1) and ('v' in annual_series_data['eps'][0]) else 0}
+            pe_dict = {'pe': annual_series_data['pe'][0]['v'] if ('pe' in annual_series_data) and (len(annual_series_data['pe'])>1) and ('v' in annual_series_data['pe'][0]) else 0}
+            ps_dict = {'ps': annual_series_data['ps'][0]['v'] if ('ps' in annual_series_data) and (len(annual_series_data['ps'])>1) and ('v' in annual_series_data['ps'][0]) else 0}
+            pb_dict = {'pb': annual_series_data['pb'][0]['v'] if ('pb' in annual_series_data) and (len(annual_series_data['pb'])>1) and ('v' in annual_series_data['pb'][0]) else 0}
+            pfcf_dict = {'pfcf': annual_series_data['pfcf'][0]['v'] if ('pfcf' in annual_series_data) and (len(annual_series_data['pfcf'])>1) and ('v' in annual_series_data['pfcf'][0]) else 0}
 
             # merge all dictionary keys per ticker
             combined_info = basic_info.copy()  # Make a copy of the basic info