import streamlit as st
from streamlit_extras.add_vertical_space import add_vertical_space
import os
import streamlit as st
import pandas as pd
from io import StringIO
from datetime import datetime
import boto3
import util
import requests

doczy_pipeline = 'https://8ir4vi1ri4.execute-api.us-east-2.amazonaws.com/dev/'

REDIRECT_URI = 'https://doczy.aarete.com:8501'
user_list = ['maamseek@aarete.com', 'smahdavian@aarete.com', 'ahinge@aarete.com', 'akadam@aarete.com'
, 'piragavarapu@aarete.com', 'umistry@aarete.com', 'pkatariya@aarete.com']
st.set_page_config(layout = "wide")
# # Sidebar contents
# with st.sidebar:
#     st.title("Doczy.AI ™")
#     st.markdown(
#         """
#     ## About
#     This app extracts data from contracts
 
#     """
#     )
#     add_vertical_space(15)
#     # st.write("Doczy")

try:
    util.setup_page(REDIRECT_URI)
    _,c1= st.columns([5,1])
    c1.write(f"User: **{st.session_state.user_info['displayName']}**")
    user_mail = st.session_state.user_info['mail']
except:
    user_mail = 'maamseek@aarete.com'

if user_mail in user_list: 

    s3_client = boto3.client('s3',
        region_name="us-east-1",
    )
    objects = s3_client.list_objects_v2(Bucket='doczy-dev-infra-textract'
        , Prefix="batches/batch_1/", Delimiter='/')

    folder_list = []
    for prefix in objects['CommonPrefixes']:
        folder_list.append(prefix['Prefix'][:-1].split('/')[-1])

    # to be deleted later
    folder_list = ['Delaware First Health, Inc.', 'Community Health Choice, Inc','CareSource Network Partners LLC',
        'HealthNet of Cali', 'Oklahoma Complete Health, Inc', 'HealthFirst', 'Molina Healthcare of TX', 'AvMed', 'Arizona Care1st',
        'WellCare New Jersey']

    client_row = st.columns([0.1, 0.8])
    with client_row[0]:
        st.write("**Client Name**")
    with client_row[1]:
        client = st.selectbox('Client Name',(folder_list), label_visibility = "collapsed")

    # to be deleted later
    client = 'textract-receiver-processed-file'

    folder_objects = s3_client.list_objects_v2(Bucket='doczy-dev-infra-textract'
        , Prefix="batches/batch_1/"+client+"/", Delimiter='/')      

    folder_list_2 = []
    for prefix in folder_objects['CommonPrefixes']:
        folder_list_2.append(prefix['Prefix'][:-1].split('/')[-1])

    path_row = st.columns([0.1, 0.8])
    with path_row[0]:
        st.write("**Path to folder**")
    with path_row[1]:
        Directory = st.selectbox('**Path to folder**', folder_list_2, label_visibility = "collapsed")

    checks = st.columns([0.1, 0.12, 0.12, 0.12, 0.12, 0.12, 0.12, 0.12])
    with checks[0]:
        st.write("**Group No.**")
    with checks[1]:
        a = st.checkbox('Unique Key', key = str(1))
    with checks[2]:
        b = st.checkbox('Pricing Before Carveouts', key = str(2))
    with checks[3]:
        c = st.checkbox('Contract Related', key = str(3))
    with checks[4]:
        d = st.checkbox('Provider', key = str(4))
    with checks[5]:
        e = st.checkbox('Timeline', key = str(5))
    with checks[6]:
        f = st.checkbox('Carveout Indicator', key = str(6))
    with checks[7]:
        g = st.checkbox('Carveout Methodology', key = str(7))

    add_vertical_space(1)

    df = pd.DataFrame(columns=['Request ID','Contract Name','Unique Key','Pricing Before Carveouts'
        , 'Contract Related', 'Provider', 'Timeline', 'Carveout Indicator', 'Carveout Methodology'])
    file_list = []
    file_objects = s3_client.list_objects_v2(Bucket='doczy-dev-infra-textract'
        , Prefix="batches/batch_1/"+client+"/"+Directory+"/", Delimiter='/')

    if st.button("Read the contracts from Path"):
        for obj in file_objects.get('Contents',[]):
            if not obj['Key'].endswith('/'):
                file_list.append(obj['Key'].split('/')[-1])

        df['Contract Name'] = file_list
        df['Request ID'] = range(len(file_list))
        # df['Contract ID'] = file_list
        df['Unique Key'] = a
        df['Pricing Before Carveouts'] = b
        df['Contract Related'] = c
        df['Provider'] = d
        df['Timeline'] = e
        df['Carveout Indicator'] = f
        df['Carveout Methodology'] = g
        dir_path = os.path.dirname(os.path.realpath(__file__))
        print(f'DEBUGGING: PWD= {dir_path}')
        df.to_csv('temp1.csv', index=False)

    add_vertical_space(1)

    # df_copy = df.set_index(df.columns[0]).copy()
    df2 = pd.read_csv('temp1.csv')
    edited_df = st.data_editor(df2)


    @st.cache_data 
    def convert_df(df):
       return df.to_csv(index=False).encode('utf-8')

    csv = convert_df(edited_df)

    edited_df = edited_df.reset_index()  # make sure indexes pair with number of rows

    contract_list = []
    for index, row in edited_df.iterrows():
        group_list = []
        if row['Unique Key']:
            group_list.append('Unique Key')
        if row['Pricing Before Carveouts']:
            group_list.append('Pricing Before Carveouts')
        if row['Contract Related']:
            group_list.append('Contract Related')
        if row['Provider']:
            group_list.append('Provider')
        if row['Timeline']:
            group_list.append('Timeline')
        if row['Carveout Indicator']:
            group_list.append('Carveout Indicator')
        if row['Carveout Methodology']:
            group_list.append('Carveout Methodology')
        entry_dict = {
            "contract_name": row['Contract Name'],
            "groups": group_list,
            "contract_source_path": "batches/batch_1/"+client+"/"+row['Contract Name']
        }
        contract_list.append(entry_dict)

    myobj = {
      "s3_bucket": 'doczy-dev-infra-textract',
      "batch_id": "1",
      "client_name": client,
      "username": user_mail,
      "contract_list": contract_list
    }

    buttons = st.columns([0.8, 0.2])
    with buttons[0]:
        st.download_button("Download Table", csv, "file.csv", "text/csv", key='download-csv')
    with buttons[1]:
        if st.button("Run Doczy.AI Pipeline"):
            response = requests.post(doczy_pipeline, json = myobj)
            if response.status_code >= 200 and response.status_code < 300:
                st.write("Success")
            else:
                st.write("Failed")
            # st.write(response.text)



else:
    st.write("Access Denied")