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| 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, | |
| ) | |