experiment

functions/calc_matches.py

@@ -50,6 +50,9 @@ def calc_matches(filtered_df, project_df, similarity_matrix, top_x):
     filtered_df_indices = filtered_df.index.to_list()
     project_df_indices = project_df.index.to_list()
 
+    st.write(filtered_df_indices)
+    st.write(project_df_indices)
+
     # Select submatrix based on indices from both dataframes
     match_matrix = similarity_matrix[filtered_df_indices, :][:, project_df_indices]
 
@@ -69,11 +72,11 @@ def calc_matches(filtered_df, project_df, similarity_matrix, top_x):
 
     # Create resulting dataframes with top matches and their similarity scores
     st.write(top_indices)
-    p1_df = project_df.loc[top_indices[0]].copy()
+    p1_df = filtered_df.loc[top_indices[0]].copy()
     p1_df['similarity'] = top_values
 
     st.dataframe(p1_df)
-    p2_df = filtered_df.loc[top_indices[1]].copy()
+    p2_df = project_df.loc[top_indices[1]].copy()
     p2_df['similarity'] = top_values
     st.dataframe(p2_df)
     print("finished calc matches")