import pandas as pd
import streamlit as st
from streamlit_js_eval import streamlit_js_eval
from settings import *
from sidebar import show_sidebar

def highlight_disabled_col(value):
    return 'background-color: #F0F2F6'

def init_page():
    st.set_page_config(
        page_title='DataSaker Version Management',
        layout='wide'
    )
    st.header('DataSaker Version Management')
    st.subheader(get_datasaker())
    
if __name__=='__main__':
    
    init_page()
        
    col1, col2 = st.columns([7, 3])
    with col1:
        st.subheader('Service')
        
        if st.button('Data Reload'):
            git_pull()
            streamlit_js_eval(js_expressions='parent.window.location.reload()')
        
        df = pd.DataFrame.from_dict(get_service())
        regex = '^release-[0-9]+.[0-9]+.[0-9]+$'
        edited_df = st.data_editor(
            df.style.applymap(highlight_disabled_col), 
            key='data_editor',
            column_config={
                'type': st.column_config.TextColumn('Type', disabled=True),
                'name': st.column_config.TextColumn('Name', disabled=True, width='medium'),
                'latest_candidate_version': st.column_config.TextColumn('Candidate Latest Version', disabled=True),
                'candidate_version': st.column_config.TextColumn('Candidate Version', validate=regex),
                'release_version': st.column_config.TextColumn('Release Version', validate=regex),
                'product_version': st.column_config.TextColumn('Product Version', validate=regex)
            }
        )
    with col2:
        st.text('Edited Rows')
        st.write(st.session_state['data_editor']['edited_rows'])

    show_sidebar(df, edited_df)