target stats

appStore/target.py

@@ -28,32 +28,37 @@ _lab_dict = {
 
 @st.cache_data
 def to_excel(df):
-    df['Target Validation'] = 'No'
-    df['Netzero Validation'] = 'No'
-    df['GHG Validation'] = 'No'
-    df['Adapt-Mitig Validation'] = 'No'
-    df['Sector'] = 'No'
+    # df['Target Validation'] = 'No'
+    # df['Netzero Validation'] = 'No'
+    # df['GHG Validation'] = 'No'
+    # df['Adapt-Mitig Validation'] = 'No'
+    # df['Sector'] = 'No'
     len_df = len(df)
     output = BytesIO()
     writer = pd.ExcelWriter(output, engine='xlsxwriter')
-    df.to_excel(writer, index=False, sheet_name='Sheet1')
+    df.to_excel(writer, index=False, sheet_name='rawdata')
+    hits  = df[df['Target Label'] == 'TARGET']
+    hits = hits.reset_index(drop=True)
+    hits = hits.sort_values(by=['Target Score'], ascending=False)
+    hits = hits.drop(columns = ['Target Score','Netzero Score','GHG Score'])
+    hits.to_excel(writer,index=False,sheet_name = 'Target')
     workbook = writer.book
-    worksheet = writer.sheets['Sheet1']
-    worksheet.data_validation('L2:L{}'.format(len_df), 
-                              {'validate': 'list', 
-                               'source': ['No', 'Yes', 'Discard']})
-    worksheet.data_validation('M2:L{}'.format(len_df), 
-                              {'validate': 'list', 
-                               'source': ['No', 'Yes', 'Discard']})
-    worksheet.data_validation('N2:L{}'.format(len_df), 
-                              {'validate': 'list', 
-                               'source': ['No', 'Yes', 'Discard']})
-    worksheet.data_validation('O2:L{}'.format(len_df), 
-                              {'validate': 'list', 
-                               'source': ['No', 'Yes', 'Discard']})
-    worksheet.data_validation('P2:L{}'.format(len_df), 
-                              {'validate': 'list', 
-                               'source': ['No', 'Yes', 'Discard']})                                                                                                         
+    # worksheet = writer.sheets['Sheet1']
+    # worksheet.data_validation('L2:L{}'.format(len_df), 
+    #                           {'validate': 'list', 
+    #                            'source': ['No', 'Yes', 'Discard']})
+    # worksheet.data_validation('M2:L{}'.format(len_df), 
+    #                           {'validate': 'list', 
+    #                            'source': ['No', 'Yes', 'Discard']})
+    # worksheet.data_validation('N2:L{}'.format(len_df), 
+    #                           {'validate': 'list', 
+    #                            'source': ['No', 'Yes', 'Discard']})
+    # worksheet.data_validation('O2:L{}'.format(len_df), 
+    #                           {'validate': 'list', 
+    #                            'source': ['No', 'Yes', 'Discard']})
+    # worksheet.data_validation('P2:L{}'.format(len_df), 
+    #                           {'validate': 'list', 
+    #                            'source': ['No', 'Yes', 'Discard']})                                                                                                         
     writer.save()
     processed_data = output.getvalue()
     return processed_data
@@ -102,16 +107,16 @@ def target_display():
                 st.write('**Economy-wide Related Paragraphs**: `{}`'.format(count_economy))
             st.write('-------------------')    
             hits = hits.sort_values(by=['Target Score'], ascending=False)
-            netzerohit = hits[hits['Netzero Label'] == 'NETZERO']
-            if not netzerohit.empty:
-                netzerohit = netzerohit.sort_values(by = ['Netzero Score'], ascending = False)
-                # st.write('-------------------')
-                # st.markdown("###### Netzero paragraph ######")
-                st.write('**Netzero paragraph** `page {}`: {}'.format(netzerohit.iloc[0]['page'],
-                                netzerohit.iloc[0]['text'].replace("\n", " ")))                        
-                st.write("")
-            else:
-                st.info("🤔 No Netzero paragraph found")
+            # netzerohit = hits[hits['Netzero Label'] == 'NETZERO']
+            # if not netzerohit.empty:
+            #     netzerohit = netzerohit.sort_values(by = ['Netzero Score'], ascending = False)
+            #     # st.write('-------------------')
+            #     # st.markdown("###### Netzero paragraph ######")
+            #     st.write('**Netzero paragraph** `page {}`: {}'.format(netzerohit.iloc[0]['page'],
+            #                     netzerohit.iloc[0]['text'].replace("\n", " ")))                        
+            #     st.write("")
+            # else:
+            #     st.info("🤔 No Netzero paragraph found")
 
         #     # st.write("**Result {}** `page {}` (Relevancy Score: {:.2f})'".format(i+1,hits.iloc[i]['page'],hits.iloc[i]['Relevancy'])")
         #     st.write('-------------------')
@@ -130,13 +135,13 @@ def target_display():
         #     st.write('----------------')
         #     st.write('Explore the data')
         #     st.write(hits)
-        #     df_xlsx = to_excel(df)
+            df_xlsx = to_excel(df)
             
-        #     with st.sidebar:
-        #         st.write('-------------')
-        #         st.download_button(label='📥 Download Result',
-        #                     data=df_xlsx ,
-        #                     file_name= os.path.splitext(st.session_state['filename'])[0]+'.xlsx')
+            with st.sidebar:
+                st.write('-------------')
+                st.download_button(label='📥 Download Result',
+                            data=df_xlsx ,
+                            file_name= os.path.splitext(st.session_state['filename'])[0]+'.xlsx')
 
         # else:
         #     st.info("🤔 No Targets found")