import streamlit as st
import pandas as pd

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

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

        for i in range(len(p1_df) - 1, -1, -2):
            match_df = pd.DataFrame()
            row_from_p1 = p1_df.iloc[[i]]
            row_from_p2 = p2_df.iloc[[i]]

            # Correctly append rows to match_df
            match_df = pd.concat([row_from_p1, row_from_p2], ignore_index=True)

            st.dataframe(
                match_df[["similarity", "iati_id", "title_main", "orga_abbreviation", "client", "description_main", "country", "sgd_pred_code", "crs_3_code", "crs_5_code"]],
                use_container_width = True,
                height = 35 + 35 * len(match_df),
                column_config={
                    "similarity": st.column_config.TextColumn(
                        "Similarity",
                        help="simialrity",
                        disabled=True
                    ),
                    "iati_id": st.column_config.TextColumn(
                        "IATI ID",
                        help="IATI Project ID",
                        disabled=True
                    ),
                    "orga_abbreviation": st.column_config.TextColumn(
                        "Organization",
                        help="If description not in English, description in other language provided",
                        disabled=True
                    ),
                    "client": st.column_config.TextColumn(
                        "Client",
                        help="Client organization of customer",
                        disabled=True
                    ),
                    "title_main": st.column_config.TextColumn(
                        "Title",
                        help="If title not in English, title in other language provided",
                        disabled=True
                    ),
                    "description_main": st.column_config.TextColumn(
                        "Description",
                        help="If description not in English, description in other language provided",
                        disabled=True
                    ),
                    "country": st.column_config.TextColumn(
                        "Country",
                        help="Country of project",
                        disabled=True
                    ),
                    "sgd_pred_code": st.column_config.TextColumn(
                        "SDG Prediction",
                        help="Prediction of SDG's",
                        disabled=True
                    ),
                    "crs_3_code": st.column_config.TextColumn(
                        "CRS 3",
                        help="CRS 3 code given by organization",
                        disabled=True
                    ),
                    "crs_5_code": st.column_config.TextColumn(
                        "CRS 5",
                        help="CRS 5 code given by organization",
                        disabled=True
                    ),
                },
                hide_index=True,
            )

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