Mayank Aamseek
189 lines
6.2 KiB
Python
189 lines
6.2 KiB
Python
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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doczy_pipeline = 'https://8ir4vi1ri4.execute-api.us-east-2.amazonaws.com/dev/'
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REDIRECT_URI = 'https://doczy.aarete.com:8501'
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user_list = ['maamseek@aarete.com', 'smahdavian@aarete.com', 'ahinge@aarete.com', 'akadam@aarete.com'
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, 'piragavarapu@aarete.com', 'umistry@aarete.com', 'pkatariya@aarete.com']
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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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try:
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util.setup_page(REDIRECT_URI)
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_,c1= st.columns([5,1])
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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:
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user_mail = 'maamseek@aarete.com'
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if user_mail in user_list:
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s3_client = boto3.client('s3',
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region_name="us-east-1",
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)
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objects = s3_client.list_objects_v2(Bucket='doczy-dev-infra-textract'
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, Prefix="batches/batch_1/", Delimiter='/')
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folder_list = []
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for prefix in objects['CommonPrefixes']:
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folder_list.append(prefix['Prefix'][:-1].split('/')[-1])
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# to be deleted later
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folder_list = ['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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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',(folder_list), label_visibility = "collapsed")
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# to be deleted later
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client = 'textract-receiver-processed-file'
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folder_objects = s3_client.list_objects_v2(Bucket='doczy-dev-infra-textract'
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, Prefix="batches/batch_1/"+client+"/", Delimiter='/')
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folder_list_2 = []
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for prefix in folder_objects['CommonPrefixes']:
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folder_list_2.append(prefix['Prefix'][:-1].split('/')[-1])
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path_row = st.columns([0.1, 0.8])
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with path_row[0]:
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st.write("**Path to folder**")
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with path_row[1]:
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Directory = st.selectbox('**Path to folder**', folder_list_2, label_visibility = "collapsed")
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checks = st.columns([0.1, 0.12, 0.12, 0.12, 0.12, 0.12, 0.12, 0.12])
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with checks[0]:
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st.write("**Group No.**")
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with checks[1]:
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a = st.checkbox('Unique Key', key = str(1))
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with checks[2]:
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b = st.checkbox('Pricing Before Carveouts', key = str(2))
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with checks[3]:
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c = st.checkbox('Contract Related', key = str(3))
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with checks[4]:
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d = st.checkbox('Provider', key = str(4))
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with checks[5]:
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e = st.checkbox('Timeline', key = str(5))
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with checks[6]:
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f = st.checkbox('Carveout Indicator', key = str(6))
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with checks[7]:
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g = st.checkbox('Carveout Methodology', key = str(7))
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add_vertical_space(1)
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df = pd.DataFrame(columns=['Request ID','Contract Name','Unique Key','Pricing Before Carveouts'
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, 'Contract Related', 'Provider', 'Timeline', 'Carveout Indicator', 'Carveout Methodology'])
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file_list = []
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file_objects = s3_client.list_objects_v2(Bucket='doczy-dev-infra-textract'
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, Prefix="batches/batch_1/"+client+"/"+Directory+"/", Delimiter='/')
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if st.button("Read the contracts from Path"):
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for obj in file_objects.get('Contents',[]):
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if not obj['Key'].endswith('/'):
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file_list.append(obj['Key'].split('/')[-1])
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df['Contract Name'] = file_list
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df['Request ID'] = range(len(file_list))
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# df['Contract ID'] = file_list
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df['Unique Key'] = a
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df['Pricing Before Carveouts'] = b
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df['Contract Related'] = c
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df['Provider'] = d
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df['Timeline'] = e
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df['Carveout Indicator'] = f
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df['Carveout Methodology'] = g
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dir_path = os.path.dirname(os.path.realpath(__file__))
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print(f'DEBUGGING: PWD= {dir_path}')
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df.to_csv('temp1.csv', index=False)
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add_vertical_space(1)
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# df_copy = df.set_index(df.columns[0]).copy()
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df2 = pd.read_csv('temp1.csv')
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edited_df = st.data_editor(df2)
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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(edited_df)
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edited_df = edited_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 edited_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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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("Run Doczy.AI Pipeline"):
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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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else:
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st.write("Access Denied")
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