import streamlit as st
import leafmap.maplibregl as leafmap

import ibis
from ibis import _



con = ibis.duckdb.connect()



'''
# LandVote Prototype

'''

m = leafmap.Map(style="positron")

with st.sidebar:

    if st.toggle("Protected Areas", True):
        
        style_choice = st.radio("Color by:", style_options)
        alpha = st.slider("transparency", 0.0, 1.0, 0.5)
        style = pad_style(style_options[style_choice], alpha)
        m.add_pmtiles(ca_pmtiles, style=style, visible=True, opacity=alpha, tooltip=True)


select_column = {
                "GAP Status Code": "reGAP",
                "Management Agency": "cpad_MNG_AG_LEV",
                "Easement": "Easement",
                "Year": "Release_Year",
                "Public Access": "ACCESS_TYP"}




column = select_column[style_choice]

select_colors = {
                "Management Agency": manager["stops"],
                "Easement": easement["stops"],
                "Public Access": access["stops"],
                "Year": year["stops"],
                "GAP Status Code": gap["stops"]}

colors = (ibis
          .memtable(select_colors[style_choice], columns = [column, "color"])
          .to_pandas()
         )

main = st.container()
    
with main:
    map_col, stats_col = st.columns([2,1])

    with map_col:
        to_streamlit(m, height=700)
    df = summary_table(column, colors)
    total_percent = df.percent_protected.sum().round(1)
    with stats_col:
        with st.container():
            f"{total_percent}% CA Covered"
            st.altair_chart(area_plot(df, column), use_container_width=True)



st.divider()
footer = st.container()