test

functions/single_similar.py

@@ -1,15 +1,24 @@
 import pandas as pd
 import numpy as np
 
-def find_similar(p_index, similarity_matrix, projects_df, top_x):
+def find_similar(p_index, similarity_matrix, filtered_df, top_x):
     selected_row = similarity_matrix[p_index]
-    top_indexes = np.argsort(selected_row)[-top_x:][::-1]
-    top_values = selected_row[top_indexes]
+    filtered_indices = filtered_df.index.tolist()
+    print(filtered_indices)
 
-    top_projects_df = projects_df.iloc[top_indexes]
+    index_position_mapping = {index: position for position, index in enumerate(filtered_indices)}
+    print(index_position_mapping)
 
-    top_projects_df["similarity"] = top_values
 
-    return top_projects_df
+    #filtered_column_matrix = similarity_matrix[:, filtered_indices]
+
+    #top_indexes = np.argsort(selected_row)[-top_x:][::-1]
+    #top_values = selected_row[top_indexes]
+
+    #top_projects_df = projects_df.iloc[top_indexes]
+
+    #top_projects_df["similarity"] = top_values
+
+    return "top_projects_df"
 
 

similarity_page.py

@@ -335,8 +335,8 @@ def show_single_matching_page():
     
     #selected_index = None
     if project_option:
-        selected_index = search_list.index(project_option)
-        st.dataframe(projects_df.iloc[selected_index])
+        selected_project_index = search_list.index(project_option)
+        st.dataframe(projects_df.iloc[selected_project_index])
 
         # COUNTRY CODES LIST
         country_code_list = [option[-3:-1] for option in country_option_s]
@@ -350,6 +350,6 @@ def show_single_matching_page():
 
         if isinstance(filtered_df_s, pd.DataFrame) and len(filtered_df_s) != 0:
 
-            top_projects_df = find_similar(selected_index, sim_matrix, filtered_df_s, 10)
-            show_single_table(top_projects_df)
+            top_projects_df = find_similar(selected_project_index, sim_matrix, filtered_df_s, 10)
+            #show_single_table(top_projects_df)