doczyai-pipelines/streamlit/interface_0.py

import json
import security
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
from sf_conn import get_secret, save_to_sf
from io import StringIO, BytesIO
import time
from sf_conn import get_client_names, insert_upload_logs
from constants import USER_LIST

(REDIRECT_URI, create_batch_url, doczy_pipeline) = util.load_page_details(0)

user_list = USER_LIST
if 'uploading' not in st.session_state:
    st.session_state.uploading = False
if 'upload_key' not in st.session_state:
    st.session_state.upload_key = 0 
if 'file_list' not in st.session_state:
    st.session_state.file_list = []
if 'show_batchID' not in st.session_state:
    st.session_state.show_batchID = False
if 'landing_zone' not in st.session_state:
    st.session_state.landing_zone = 'contracts-landing-zone'
if 'batch_id' not in st.session_state:
    st.session_state.batch_id = 'failed_cases'
if 'client_bucket' not in st.session_state:
    st.session_state.client_bucket = 'default_bucket'

def insert_upload_logs(batch_id, client_name, file_name, upload_datetime, upload_user):
    """
    Input: batch_id, client_name, file_name, upload_datetime, upload_user
    Output: status of the insert query
    """
    try:
        return 'Log inserted successfully'
    except Exception as e:
        return e


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")

# AARETE LOGO
x,y,z = st.columns([15,2,15])
with y:
    st.image('aaretelogo.png')

hide_img_fs = '''
<style>
button[title="View fullscreen"]{
    visibility: hidden;}
</style>
'''
st.markdown(hide_img_fs, unsafe_allow_html=True)

_,c1= st.columns([5,1])
try:
    util.setup_page(REDIRECT_URI)
except Exception as e:
    st.write(f"SSO Failed = {e}")
    st.session_state['user_info'] = {'mail': 'maamseek@aarete.com', 'displayName': 'Mayank Aamseek'}
try:
    c1.write(f"User: **{st.session_state.user_info['displayName']}**")
    user_mail = st.session_state.user_info['mail']
except KeyError as e:
    st.write("Session Expired.")
    auth_url = security.get_auth_url(REDIRECT_URI)
    st.markdown(f"<a href='{auth_url}' target='_self'>Sign In</a>", unsafe_allow_html=True)
    st.stop()

s3_client = boto3.client('s3',
    region_name="us-east-2",
)

client_list = ['doczy-ai-client-1', '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']

# This is the list of client fetched from Snowflake 
# TODO: Need to update the streamlit code to use the client names from this list
# And use the s3 paths to save the objects for the respective client
client_list, s3_paths = get_client_names()
client_s3_paths = dict(zip(client_list, s3_paths))

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',(client_list), label_visibility = "collapsed", index = None)

client_bucket = client_s3_paths.get(client)

# to be deleted when client buckets are created
client_bucket = 'doczy-dev-infra-textract'

file_row = st.columns([0.1, 0.8])
with file_row[0]:
    st.write("**Upload Files**")
with file_row[1]:
    file_list = st.file_uploader("Upload", type=['docx','tiff','pdf'], accept_multiple_files=True, label_visibility = "collapsed", help="Only PDF, TIFF and DOCX file formats are supported.", disabled=st.session_state.uploading, key = st.session_state.upload_key)

add_vertical_space(2)
df = pd.DataFrame(columns=['Contract Name'])
df['Contract Name'] = file_list
file_names = []
buttons = st.columns([0.4, 0.4, 0.2])

def set_uploading_state():
    if not client == None and not len(file_list) == 0:
        st.session_state.file_list = file_list
        st.session_state.upload_key += 1
        st.session_state.uploading = True

with buttons[1]:
    if st.button("Create Batch", on_click=set_uploading_state):
        file_list = st.session_state.file_list
        if client == None:
            st.error("No Client Name Selected.")
        elif len(file_list) == 0:
            st.error("No Files Selected.")
        else:
            with st.spinner('Running...'):
                myobj = { "client-bucket-name": client_bucket }
                response = requests.post(create_batch_url, json = myobj)
                if response.status_code >= 200 and response.status_code < 300:
                    try:
                        batch_id = json.loads(json.loads(response.text)['body'])['batch_id']
                        landing_zone = json.loads(json.loads(response.text)['body'])['landing_zone']
                    except:
                        # st.write(myobj)
                        # st.write(response.text)
                        st.write("Internal Error. Reach out to Doczy.AI Team.")
                        batch_id = 'failed_cases'
                        landing_zone = 'contracts-landing-zone'
                else:
                    st.error("Failed")
                for uploaded_file in file_list:
                    stringio = BytesIO(uploaded_file.getvalue())
                    stringio.seek(0)
                    s3_client.put_object(Bucket=client_bucket, Body=stringio.getvalue(), Key=
                        landing_zone+batch_id+'/'+str(uploaded_file.name))
                    # s3_client.put_object_tagging(Bucket=client_bucket, Key=
                    #     landing_zone+batch_id+'/'+str(uploaded_file.name), Tagging = {'TagSet': [ { 'Key': 'BatchId', 'Value': batch_id }]})

                    # TODO: Test this insert function with snowflake 
                    upload_log = insert_upload_logs(batch_id, client, str(uploaded_file.name), datetime.now().strftime("%Y-%m-%d %H:%M:%S"), user_mail)
                    st.write(upload_log)
                    
                    file_names.append(str(uploaded_file.name))
                st.session_state.uploading = False
                st.session_state.show_batchID = True
                st.session_state.client_bucket = client_bucket
                st.session_state.batch_id = batch_id
                st.session_state.landing_zone = landing_zone
                st.rerun()  
    if st.session_state.show_batchID:
        batch_id = st.session_state.batch_id
        client_bucket = st.session_state.client_bucket
        landing_zone = st.session_state.landing_zone
        st.write("Batch ID Created - ")
        st.code(f"{batch_id}")
        st.write(f"Files uploaded to s3://{client_bucket}/{landing_zone}{batch_id}")
        st.session_state.show_batchID = False
        st.session_state.file_list = []
        st.session_state.batch_id = 'failed_cases'
        st.session_state.client_bucket = 'default_bucket'
        st.session_state.landing_zone = 'contracts-landing-zone'



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

    # csv = convert_df(df)

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

    # contract_list = []
    # for index, row in 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)
    # contract_list = list(df['Contract Name'])

    # 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("Upload to DB"):
    #         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)