doczyai-pipelines/archive/streamlit/local/local_interface_0.py

import json
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

create_batch_url = (
    "https://lfksus2t62.execute-api.us-east-2.amazonaws.com/dev/create-batch"
)

# REDIRECT_URI = 'https://doczydev.aarete.com:8500'
# user_list = USER_LIST
if "uploading" not in st.session_state:
    st.session_state.uploading = False


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")
# #

_, 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'}
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.")
    st.stop()

print(st.session_state)

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
    )  # MODIFIED for Ticket DOC-344

# client_bucket = client_s3_paths.get(client)

# to be deleted when client buckets are created
client_bucket = "doczy-ai-client-1"

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,
    )

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.uploading = True


with buttons[1]:
    if st.button("Create Batch", on_click=set_uploading_state):
        if client == None:
            st.error("No Client Name Selected.")
        elif len(file_list) == 0:
            st.error("No Files Selected.")
        else:
            time.sleep(5)
            # 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)
            #         batch_id = 'failed_cases'
            #         landing_zone = 'contracts_landing_zone'
            # else:
            #     st.write("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))

            #     # 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.write(f"{batch_id} created")
            st.session_state.uploading = False
            # st.write(f"Files uploaded to s3://{client_bucket}/{landing_zone}{batch_id}")

    # @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)