import streamlit as st import pandas as pd """ Result table of the Single Project Matching """ def show_single_table(selected_project_index, projects_df, result_df): """ TODO: Add this to preprocessing """ result_df['crs_3_code_list'] = result_df['crs_3_name'].apply( lambda x: [""] if x is None else (str(x).split(";")[:-1] if str(x).endswith(";") else str(x).split(";")[:-1]) ) result_df['crs_5_code_list'] = result_df['crs_5_name'].apply( lambda x: [""] if x is None else (str(x).split(";")[:-1] if str(x).endswith(";") else str(x).split(";")[:-1]) ) result_df['sdg_list'] = result_df['sgd_pred_code'].apply( lambda x: [""] if x is None else (str(x).split(";")[:-1] if str(x).endswith(";") else str(x).split(";")) ) # Convert orga_abbreviation to uppercase for the selected project result_df['orga_abbreviation'] = result_df['orga_abbreviation'].str.upper() # Set country_flag to None if country_name is missing result_df['country_flag'] = result_df.apply( lambda row: None if pd.isna(row['country_name']) else row['country_flag'], axis=1 ) sel_p_row = projects_df.iloc[[selected_project_index]] sel_p_row['crs_3_code_list'] = sel_p_row['crs_3_name'].apply( lambda x: [""] if x is None else (str(x).split(";")[:-1] if str(x).endswith(";") else str(x).split(";")[:-1]) ) sel_p_row['crs_5_code_list'] = sel_p_row['crs_5_name'].apply( lambda x: [""] if x is None else (str(x).split(";")[:-1] if str(x).endswith(";") else str(x).split(";")[:-1]) ) sel_p_row['sdg_list'] = sel_p_row['sgd_pred_code'].apply( lambda x: [""] if x is None else (str(x).split(";")[:-1] if str(x).endswith(";") else str(x).split(";")) ) # Convert orga_abbreviation to uppercase for the selected project sel_p_row['orga_abbreviation'] = sel_p_row['orga_abbreviation'].str.upper() # Displaye selected project and infos st.subheader("Reference Project") st.dataframe( sel_p_row[["iati_id", "title_main", "orga_abbreviation", "description_main", "country_name", "country_flag", "sdg_list", "crs_3_code_list", "crs_5_code_list", "Project Link"]], use_container_width = True, height = 35 + 35 * len(sel_p_row), column_config={ "iati_id": st.column_config.TextColumn( "IATI ID", help="IATI Project ID", disabled=True, width="small" ), "orga_abbreviation": st.column_config.TextColumn( "Organization", help="If description not in English, description in other language provided", disabled=True, width="small" ), "title_main": st.column_config.TextColumn( "Title", help="If title not in English, title in other language provided", disabled=True, width="large" ), "description_main": st.column_config.TextColumn( "Description", help="If description not in English, description in other language provided", disabled=True, width="large" ), "country_name": st.column_config.TextColumn( "Country", help="Country of project", disabled=True, width="small" ), "country_flag": st.column_config.ImageColumn( "Flag", help="country flag", width="small" ), "sdg_list": st.column_config.ListColumn( "SDG Prediction", help="Prediction of SDG's", width="small" ), "crs_3_code_list": st.column_config.ListColumn( "CRS 3", help="CRS 3 code given by organization", width="medium" ), "crs_5_code_list": st.column_config.ListColumn( "CRS 5", help="CRS 5 code given by organization", width="medium" ), "Project Link": st.column_config.TextColumn( "Project Link", help="Link to the project", disabled=True, width="small" ), }, hide_index=True, ) # Display the similar projects of the selected project if len(result_df) == 0: st.write("No results found!") else: result_df = result_df.reset_index(drop=True) result_df['similarity'] = (result_df['similarity'] * 100).round(4) st.write("----------------------") st.subheader("Similar Projects") st.dataframe( result_df[["similarity", "iati_id", "title_main", "orga_abbreviation", "description_main", "country_name", "country_flag", "sdg_list", "crs_3_code_list", "crs_5_code_list", "Project Link"]], use_container_width = True, height = 35 + 35 * len(result_df), column_config={ "similarity": st.column_config.ProgressColumn( "Similarity", help="Similarity", format=" %f %%", min_value=0, max_value=100, ), "iati_id": st.column_config.TextColumn( "IATI ID", help="IATI Project ID", disabled=True, width="small" ), "orga_abbreviation": st.column_config.TextColumn( "Organization", help="If description not in English, description in other language provided", disabled=True, width="small" ), "title_main": st.column_config.TextColumn( "Title", help="If title not in English, title in other language provided", disabled=True, width="large" ), "description_main": st.column_config.TextColumn( "Description", help="If description not in English, description in other language provided", disabled=True, width="large" ), "country_name": st.column_config.TextColumn( "Country", help="Country of project", disabled=True, width="small" ), "country_flag": st.column_config.ImageColumn( "Flag", help="country flag", width="small" ), "sdg_list": st.column_config.ListColumn( "SDG Prediction", help="Prediction of SDG's", width="small" ), "crs_3_code_list": st.column_config.ListColumn( "CRS 3", help="CRS 3 code given by organization", width="medium" ), "crs_5_code_list": st.column_config.ListColumn( "CRS 5", help="CRS 5 code given by organization", width="medium" ), }, hide_index=True, )