modules/singlematch_result_table.py

import streamlit as st
import pandas as pd

def show_single_table(selected_project_index, projects_df, result_df):

    result_df['crs_3_code_list'] = result_df['crs_3_code'].apply(lambda x: x.split(";")[:-1] if x.endswith(";") else x.split(";"))
    result_df['crs_5_code_list'] = result_df['crs_5_code'].apply(lambda x: x.split(";")[:-1] if x.endswith(";") else x.split(";"))
    result_df['sdg_list'] = result_df['sgd_pred_code'].apply(lambda x: x.split(";")[:-1] if x.endswith(";") else x.split(";"))

    sel_p_row = projects_df.iloc[[selected_project_index]]

    sel_p_row['crs_3_code_list'] = sel_p_row['crs_3_code'].apply(lambda x: x.split(";")[:-1] if x.endswith(";") else x.split(";"))
    sel_p_row['crs_5_code_list'] = sel_p_row['crs_5_code'].apply(lambda x: x.split(";")[:-1] if x.endswith(";") else x.split(";"))
    sel_p_row['sdg_list'] = sel_p_row['sgd_pred_code'].apply(lambda x: x.split(";")[:-1] if x.endswith(";") else x.split(";"))

    st.dataframe(
                    sel_p_row[["iati_id", "title_main", "orga_abbreviation", "client", "description_main", "country_name", "country_flag"]],
                    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"
                        ),
                        "client": st.column_config.TextColumn(
                            "Client",
                            help="Client organization of customer",
                            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"
                        ),
                    },
                    hide_index=True,
                )


    if len(result_df) == 0:
        st.write("No results found!")
    else:
        result_df = result_df.reset_index(drop=True)

        # Transformations
        result_df["crs_3_code_list"] = result_df['crs_3_code'].str.split(";").apply(lambda x: x[:-1] if x else [])
        result_df["crs_5_code_list"] = result_df['crs_5_code'].str.split(";").apply(lambda x: x[:-1] if x else [])  
        result_df["sdg_list"] = result_df['sgd_pred_code'].apply(lambda x: [x] if pd.notna(x) else [])
        result_df["flag"] = result_df['country'].apply(lambda x: f"https://flagicons.lipis.dev/flags/4x3/{x[:2].lower()}.svg" if pd.notna(x) else "https://flagicons.lipis.dev/flags/4x3/xx.svg")
            
        st.dataframe(
            result_df[["similarity", "iati_id", "title_main", "orga_abbreviation", "client", "description_main", "country", "flag", "sdg_list", "crs_3_code_list", "crs_5_code_list"]],
            use_container_width = True,
            height = 35 + 35 * len(result_df),
            column_config={
                "similarity": st.column_config.TextColumn(
                    "Similarity",
                    help="similarity to selected project",
                    disabled=True,
                    width="small"
                ),
                "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"
                ),
                "client": st.column_config.TextColumn(
                    "Client",
                    help="Client organization of customer",
                    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": st.column_config.TextColumn(
                    "Country",
                    help="Country of project",
                    disabled=True,
                    width="small"
                ),
                "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="small"
                ),
                "crs_5_code_list": st.column_config.ListColumn(
                    "CRS 5",
                    help="CRS 5 code given by organization",
                    width="small"
                ),
            },
            hide_index=True,
        )