113 lines
3.4 KiB
Python
113 lines
3.4 KiB
Python
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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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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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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',('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'), label_visibility = "collapsed")
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def file_selector(folder_path='.'):
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filenames = os.listdir(folder_path)
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selected_filename = st.selectbox('**Path to folder**', filenames, label_visibility = "collapsed")
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return os.path.join(folder_path, selected_filename)
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# return selected_filename
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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.text_input("**Path to folder**", label_visibility = "collapsed")
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Directory = file_selector()
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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 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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if st.button("Read the contracts from Path"):
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for filename in os.listdir(Directory):
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# with open(os.path.join(Directory, filename), encoding="utf8") as f:
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# context = f.read()
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file_list.append(filename)
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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['Folder Name'] = Directory
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# df['Updated Group Number'] = updated_group
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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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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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buttons = st.columns([0.45, 0.35, 0.2])
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with buttons[0]:
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st.button("Save All Edits")
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with buttons[1]:
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st.download_button("Download Table", csv, "file.csv", "text/csv", key='download-csv')
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with buttons[2]:
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st.button("Run Doczy.AI Pipeline")
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