from distutils.command.build_scripts import first_line_re
import streamlit as st
import pandas as pd
import altair as alt
import datetime as dt
from datetime import timedelta
from datetime import datetime
import pytz
from pymongo import MongoClient
import base64


def download_link(object_to_download, download_filename, download_link_text):

    if isinstance(object_to_download,pd.DataFrame):
        object_to_download = object_to_download.to_csv(index=True)
        b64 = base64.b64encode(object_to_download.encode()).decode()
        return f'<a href="data:file/txt;base64,{b64}" download="{download_filename}">{download_link_text}</a>'



def main():
    st.set_page_config(  # Alternate names: setup_page, page, layout
    layout="wide",  # Can be "centered" or "wide". In the future also "dashboard", etc.
    initial_sidebar_state="auto",  # Can be "auto", "expanded", "collapsed"
    page_title="Ratio de Bonos v2",  # String or None. Strings get appended with "• Streamlit". 
    page_icon=None,  # String, anything supported by st.image, or None.
    )

    st.title("Ratio de bonos v2")

    today = datetime.today().astimezone(pytz.timezone('America/Argentina/Buenos_Aires')).replace(hour=0,minute=0,second= 0)

    # conexion a bd
    broker_bd = client = MongoClient("mongodb+srv://diaznicolasandres:diaznicolasandres941231@cluster0.azraf.mongodb.net/broker?retryWrites=true&w=majority")
    db = client.get_database('broker')
    bonds_table = db.bond


    lista_nombre_bonos_1 =  ["AL30", "AL29",  "GD30", "GD29"]

    lista_nombre_bonos_2 =  ["GD30","AL30","AL29", "GD29"]


    add_selectbox_bono1 = st.sidebar.selectbox(
        'Seleccionar bono 1 ', lista_nombre_bonos_1
        
    )

    add_selectbox_bono2 = st.sidebar.selectbox(
        'Seleccionar bono 2',
        lista_nombre_bonos_2
    )


    cantidad_dias = st.sidebar.selectbox("Cant dias", [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15])


    if(add_selectbox_bono1 is not None and add_selectbox_bono2 is not None):
        especie1 = '_'+add_selectbox_bono1   
        especie2 = '_'+add_selectbox_bono2

        if(especie1 == especie2):
            especie2 = especie2+"2"



        bonos1_found =  bonds_table.find({'ticker': add_selectbox_bono1, "date": {"$gt": today - timedelta(days= cantidad_dias-1)}}) 



        bonos2_found =  bonds_table.find({'ticker': add_selectbox_bono2, "date": {"$gt": today - timedelta(days= cantidad_dias-1)}}) 
   

        dataframe1 = pd.DataFrame(bonos1_found , columns = ['lastPrice', 'buyPrice','sellPrice', 'date'])
        dataframe2 = pd.DataFrame(bonos2_found , columns = ['lastPrice', 'buyPrice','sellPrice', 'date'])




        dataframe1 = dataframe1.rename(columns = {'date': 'index'}).set_index('index')
        dataframe1.drop_duplicates(keep='first')

        dataframe2 = dataframe2.rename(columns = {'date': 'index'}).set_index('index')
        dataframe2.drop_duplicates(keep='first')
        dataframe1 = dataframe1.loc[(dataframe1['lastPrice']!= '-' ) &  (dataframe1['buyPrice']!= '-' ) &  (dataframe1['sellPrice']!= '-' ) ]
        dataframe2 = dataframe2.loc[(dataframe2['lastPrice']!= '-' ) &  (dataframe2['buyPrice']!= '-' ) &  (dataframe2['sellPrice']!= '-' ) ]

        dataframe1 = dataframe1.rename(columns={'lastPrice': 'UltimoPrecio'+especie1, 'buyPrice': 'PrecioCompra'+especie1, 'sellPrice': 'PrecioVenta'+especie1})
        dataframe2 = dataframe2.rename(columns={'lastPrice': 'UltimoPrecio'+especie2, 'buyPrice': 'PrecioCompra'+especie2, 'sellPrice': 'PrecioVenta'+especie2})

        df_combinado = dataframe1.join(dataframe2, on='index') 



        df_combinado['Ratio'] =  df_combinado['UltimoPrecio'+especie1].astype(float) / df_combinado['UltimoPrecio'+especie2].astype(float)

        argentina_timezone = 'America/Argentina/Buenos_Aires'
         
        df_combinado.index = df_combinado.index.tz_localize(pytz.utc).tz_convert(argentina_timezone)
        df_combinado = df_combinado[~df_combinado.index.duplicated(keep='first')]

        st.dataframe(df_combinado.style.highlight_max(color='green', axis=0))
        # Graficar data   
        if st.button("Graficar"):
            cust_data = df_combinado["Ratio"]
            line = alt.Chart(cust_data.reset_index()).mark_line(
                    color='purple',
                    size=3
                ).transform_window(
                    rolling_mean='mean(Ratio)'
                ).encode(
                    x=alt.X('index'),
                    y=alt.Y('rolling_mean:Q', scale=alt.Scale(zero=False))
                ).properties(title=add_selectbox_bono1 + '/' + add_selectbox_bono2).interactive()

            points = alt.Chart(cust_data.reset_index()).mark_line().encode(
                x=alt.X('index', axis=alt.Axis(title='Fecha')),
                y=alt.Y('Ratio:Q',
                        axis=alt.Axis(title='Ratio - Media'), scale=alt.Scale(zero=False))
            ).interactive()

            chart = line + points

            chart = line + points

            st.altair_chart(chart, use_container_width=True)
            
            base1 = alt.Chart(df_combinado.reset_index()).encode(alt.X('index', axis = alt.Axis(title='Fecha')))

            line_1 = base1.mark_line(
                    color='purple',
                    size=2
                ).encode(
                    y=alt.Y("UltimoPrecio" + especie1 + ':Q', scale=alt.Scale(zero=False),
                            axis=alt.Axis(title='Ultimo precio', titleColor='black'))
                ).properties(title=add_selectbox_bono1).interactive()


            layer1 = alt.layer(line_1)
            st.altair_chart(layer1, use_container_width=True)


        

            line_2 = base1.mark_line(
                    color='purple',
                    size=2
                ).encode(
                    y=alt.Y("UltimoPrecio" + especie2 + ':Q', scale=alt.Scale(zero=False),
                            axis=alt.Axis(title='Ultimo precio', titleColor='black'))
                ).properties(title=add_selectbox_bono2).interactive()

            layer2 = alt.layer(line_2)
            st.altair_chart(layer2, use_container_width=True)


        if st.button("Descargar"):
            # open('bonos.csv', 'w').write(df_ratio.to_csv())
            tmp_download_link = download_link(df_combinado, 'bonos_' + especie1 + '_' + especie2 + '.csv',
                                            'Presione para descargar el archivo')
            st.markdown(tmp_download_link, unsafe_allow_html=True)






    




        









if __name__ == '__main__':
    main()