243 lines
9.0 KiB
Python
243 lines
9.0 KiB
Python
import json
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import security
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import streamlit as st
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from streamlit_extras.add_vertical_space import add_vertical_space
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import os
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import streamlit as st
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import pandas as pd
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from io import StringIO
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from datetime import datetime
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import boto3
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import util
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import requests
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from sf_conn import get_secret, save_to_sf
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from io import StringIO, BytesIO
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import time
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from sf_conn import get_client_names, insert_upload_logs
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from constants import USER_LIST
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(REDIRECT_URI, create_batch_url, doczy_pipeline) = util.load_page_details(0)
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REDIRECT_URI = 'https://doczydev.aarete.com:8505'
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user_list = USER_LIST
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if 'uploading' not in st.session_state:
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st.session_state.uploading = False
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if 'upload_key' not in st.session_state:
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st.session_state.upload_key = 0
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if 'file_list' not in st.session_state:
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st.session_state.file_list = []
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if 'show_batchID' not in st.session_state:
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st.session_state.show_batchID = False
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if 'landing_zone' not in st.session_state:
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st.session_state.landing_zone = 'contracts-landing-zone'
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if 'batch_id' not in st.session_state:
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st.session_state.batch_id = 'failed_cases'
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if 'client_bucket' not in st.session_state:
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st.session_state.client_bucket = 'default_bucket'
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def insert_upload_logs(batch_id, client_name, file_name, upload_datetime, upload_user):
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"""
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Input: batch_id, client_name, file_name, upload_datetime, upload_user
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Output: status of the insert query
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"""
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try:
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return 'Log inserted successfully'
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except Exception as e:
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return e
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st.set_page_config(layout = "wide")
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# # # Sidebar contents
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with st.sidebar:
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st.title("Doczy.AI ™")
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st.markdown(
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"""
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## About
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This app extracts data from contracts
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"""
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)
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add_vertical_space(15)
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# st.write("Doczy")
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# AARETE LOGO
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x,y,z = st.columns([15,2,15])
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with y:
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st.image('aaretelogo.png')
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hide_img_fs = '''
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<style>
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button[title="View fullscreen"]{
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visibility: hidden;}
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</style>
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'''
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st.markdown(hide_img_fs, unsafe_allow_html=True)
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_,c1= st.columns([5,1])
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try:
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util.setup_page(REDIRECT_URI)
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except Exception as e:
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st.write(f"SSO Failed = {e}")
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st.session_state['user_info'] = {'mail': 'maamseek@aarete.com', 'displayName': 'Mayank Aamseek'}
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try:
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c1.write(f"User: **{st.session_state.user_info['displayName']}**")
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user_mail = st.session_state.user_info['mail']
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except KeyError as e:
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st.write("Session Expired.")
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auth_url = security.get_auth_url(REDIRECT_URI)
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st.markdown(f"<a href='{auth_url}' target='_self'>Sign In</a>", unsafe_allow_html=True)
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st.stop()
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s3_client = boto3.client('s3',
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region_name="us-east-2",
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)
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client_list = ['doczy-ai-client-1', 'Delaware First Health, Inc.', 'Community Health Choice, Inc','CareSource Network Partners LLC',
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'HealthNet of Cali', 'Oklahoma Complete Health, Inc', 'HealthFirst', 'Molina Healthcare of TX', 'AvMed', 'Arizona Care1st',
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'WellCare New Jersey']
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# This is the list of client fetched from Snowflake
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# TODO: Need to update the streamlit code to use the client names from this list
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# And use the s3 paths to save the objects for the respective client
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client_list, s3_paths = get_client_names()
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client_s3_paths = dict(zip(client_list, s3_paths))
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client_row = st.columns([0.1, 0.8])
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with client_row[0]:
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st.write("**Client Name**")
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with client_row[1]:
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client = st.selectbox('Client Name',(client_list), label_visibility = "collapsed", index = None)
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client_bucket = client_s3_paths.get(client)
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# to be deleted when client buckets are created
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client_bucket = 'doczy-dev-infra-textract'
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file_row = st.columns([0.1, 0.8])
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with file_row[0]:
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st.write("**Upload Files**")
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with file_row[1]:
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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)
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add_vertical_space(2)
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df = pd.DataFrame(columns=['Contract Name'])
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df['Contract Name'] = file_list
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file_names = []
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buttons = st.columns([0.4, 0.4, 0.2])
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def set_uploading_state():
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if not client == None and not len(file_list) == 0:
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st.session_state.file_list = file_list
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st.session_state.upload_key += 1
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st.session_state.uploading = True
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with buttons[1]:
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if st.button("Create Batch", on_click=set_uploading_state):
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file_list = st.session_state.file_list
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if client == None:
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st.error("No Client Name Selected.")
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elif len(file_list) == 0:
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st.error("No Files Selected.")
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else:
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with st.spinner('Running...'):
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myobj = { "client-bucket-name": client_bucket }
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response = requests.post(create_batch_url, json = myobj)
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if response.status_code >= 200 and response.status_code < 300:
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try:
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batch_id = json.loads(json.loads(response.text)['body'])['batch_id']
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landing_zone = json.loads(json.loads(response.text)['body'])['landing_zone']
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except:
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# st.write(myobj)
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# st.write(response.text)
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st.write("Internal Error. Reach out to Doczy.AI Team.")
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batch_id = 'failed_cases'
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landing_zone = 'contracts-landing-zone'
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else:
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st.error("Failed")
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for uploaded_file in file_list:
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stringio = BytesIO(uploaded_file.getvalue())
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stringio.seek(0)
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s3_client.put_object(Bucket=client_bucket, Body=stringio.getvalue(), Key=
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landing_zone+batch_id+'/'+str(uploaded_file.name))
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# s3_client.put_object_tagging(Bucket=client_bucket, Key=
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# landing_zone+batch_id+'/'+str(uploaded_file.name), Tagging = {'TagSet': [ { 'Key': 'BatchId', 'Value': batch_id }]})
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# TODO: Test this insert function with snowflake
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upload_log = insert_upload_logs(batch_id, client, str(uploaded_file.name), datetime.now().strftime("%Y-%m-%d %H:%M:%S"), user_mail)
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st.write(upload_log)
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file_names.append(str(uploaded_file.name))
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st.session_state.uploading = False
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st.session_state.show_batchID = True
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st.session_state.client_bucket = client_bucket
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st.session_state.batch_id = batch_id
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st.session_state.landing_zone = landing_zone
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st.rerun()
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if st.session_state.show_batchID:
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batch_id = st.session_state.batch_id
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client_bucket = st.session_state.client_bucket
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landing_zone = st.session_state.landing_zone
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st.write("Batch ID Created - ")
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st.code(f"{batch_id}")
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st.write(f"Files uploaded to s3://{client_bucket}/{landing_zone}{batch_id}")
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st.session_state.show_batchID = False
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st.session_state.file_list = []
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st.session_state.batch_id = 'failed_cases'
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st.session_state.client_bucket = 'default_bucket'
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st.session_state.landing_zone = 'contracts-landing-zone'
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# @st.cache_data
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# def convert_df(df):
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# return df.to_csv(index=False).encode('utf-8')
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# csv = convert_df(df)
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# df = df.reset_index() # make sure indexes pair with number of rows
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# contract_list = []
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# for index, row in df.iterrows():
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# group_list = []
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# if row['Unique Key']:
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# group_list.append('Unique Key')
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# if row['Pricing Before Carveouts']:
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# group_list.append('Pricing Before Carveouts')
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# if row['Contract Related']:
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# group_list.append('Contract Related')
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# if row['Provider']:
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# group_list.append('Provider')
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# if row['Timeline']:
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# group_list.append('Timeline')
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# if row['Carveout Indicator']:
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# group_list.append('Carveout Indicator')
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# if row['Carveout Methodology']:
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# group_list.append('Carveout Methodology')
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# entry_dict = {
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# "contract_name": row['Contract Name'],
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# "groups": group_list,
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# "contract_source_path": "batches/batch_1/"+client+"/"+row['Contract Name']
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# }
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# contract_list.append(entry_dict)
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# contract_list = list(df['Contract Name'])
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# myobj = {
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# "s3_bucket": 'doczy-dev-infra-textract',
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# "batch_id": "1",
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# "client_name": client,
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# "username": user_mail,
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# "contract_list": contract_list
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# }
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# buttons = st.columns([0.8, 0.2])
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# with buttons[0]:
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# st.download_button("Download Table", csv, "file.csv", "text/csv", key='download-csv')
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# with buttons[1]:
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# if st.button("Upload to DB"):
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# response = requests.post(doczy_pipeline, json = myobj)
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# if response.status_code >= 200 and response.status_code < 300:
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# st.write("Success")
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# else:
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# st.write("Failed")
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# # st.write(response.text)
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