doczyai-pipelines/streamlit/interface_1.py

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

REDIRECT_URI = 'http://172.29.20.126:8501'
user_list = ['maamseek@aarete.com', 'smahdavian@aarete.com', 'ahinge@aarete.com', 'akadam@aarete.com'
, 'piragavarapu@aarete.com', 'umistry@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")


util.setup_page(REDIRECT_URI)
if st.session_state.user_info['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])

    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), index=7, label_visibility = "collapsed")

    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 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)

    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]:
        st.button("Run Doczy.AI Pipeline") 

else:
    st.write("Access Denied")