modules/multimatch_result_table.py

import streamlit as st
import pandas as pd

def show_multi_table(p1_df, p2_df):
        st.write("------------------")

        p1_df = p1_df.reset_index(drop=True)
        p2_df = p2_df.reset_index(drop=True)

        actual_ind = 0
        for i in range(len(p1_df) - 1, -1, -2): # stepsize because project matchs in both ways and it should only display a match one time
            actual_ind += 1
            match_df = pd.DataFrame()
            row_from_p1 = p1_df.iloc[[i]]
            row_from_p2 = p2_df.iloc[[i]]

            # INTEGRATE IN PREPROCESSING !!!
            # transform strings to list
            try:
                row_from_p1["crs_3_code_list"] = [row_from_p1['crs_3_name'].item().split(";")[:-1]]
                row_from_p2["crs_3_code_list"] = [row_from_p2['crs_3_name'].item().split(";")[:-1]]
            except:
                row_from_p1["crs_3_code_list"] = [""]
                row_from_p2["crs_3_code_list"] = [""]

            try:
                row_from_p1["crs_5_code_list"] = [row_from_p1['crs_5_name'].item().split(";")[:-1]]
                row_from_p2["crs_5_code_list"] = [row_from_p2['crs_5_name'].item().split(";")[:-1]]
            except:
                row_from_p1["crs_5_code_list"] = [""]
                row_from_p2["crs_5_code_list"] = [""]

            row_from_p1["sdg_list"] = [row_from_p1['sgd_pred_code'].item()]
            row_from_p2["sdg_list"] = [row_from_p2['sgd_pred_code'].item()]

            try:
                row_from_p1["flag"] = f"https://flagicons.lipis.dev/flags/4x3/{row_from_p1['country'].item()[:2].lower()}.svg"
                row_from_p2["flag"] = f"https://flagicons.lipis.dev/flags/4x3/{row_from_p2['country'].item()[:2].lower()}.svg"
            except:
                row_from_p1["flag"] = "https://flagicons.lipis.dev/flags/4x3/xx.svg"
                row_from_p2["flag"] = "https://flagicons.lipis.dev/flags/4x3/xx.svg"
            
            #print(row_from_p1["flag"].item())

            # Correctly append rows to match_df
            #st.subheader(f"#{actual_ind}")
            #st.caption(f"Similarity: {round(row_from_p1['similarity'].item(), 4) * 100}%")
            match_df = pd.concat([row_from_p1, row_from_p2], ignore_index=True)
            
            col1, col2 = st.columns([1, 12])
            with col1:
                
                # remove arrow from standart st.metric()
                st.write(
                    """
                    <style>
                    [data-testid="stMetricDelta"] svg {
                        display: none;
                    }
                    </style>
                    """,
                    unsafe_allow_html=True,
                )

                st.metric(label="Match", value=f"{actual_ind}", delta=f"~ {str(round(row_from_p1['similarity'].item(), 5) * 100)[:4]} %")

            with col2:
                st.write("    ")
                st.dataframe(
                    match_df[["iati_id", "title_main", "orga_abbreviation", "client", "description_main", "country_name", "flag", "sdg_list", "crs_3_code_list", "crs_5_code_list"]],
                    use_container_width = True,
                    height = 35 + 35 * len(match_df),
                    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"
                        ),
                        "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,
                )

            st.write("------------------")