Spaces:
Running
Running
File size: 3,644 Bytes
a660599 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 |
import streamlit as st
from utilities import (set_header,
initialize_data,
load_local_css,
create_channel_summary,
create_contribution_pie,
create_contribuion_stacked_plot,
create_channel_spends_sales_plot,
format_numbers,
channel_name_formating,
load_authenticator)
import plotly.graph_objects as go
import streamlit_authenticator as stauth
import yaml
from yaml import SafeLoader
import time
st.set_page_config(layout='wide')
load_local_css('styles.css')
set_header()
target='Revenue'
# for k, v in st.session_state.items():
# if k not in ['logout', 'login','config'] and not k.startswith('FormSubmitter'):
# st.session_state[k] = v
# authenticator = st.session_state.get('authenticator')
# if authenticator is None:
# authenticator = load_authenticator()
# name, authentication_status, username = authenticator.login('Login', 'main')
# auth_status = st.session_state['authentication_status']
# if auth_status:
# authenticator.logout('Logout', 'main')
# is_state_initiaized = st.session_state.get('initialized',False)
# if not is_state_initiaized:
initialize_data()
scenario = st.session_state['scenario']
raw_df = st.session_state['raw_df']
st.header('Overview of previous spends')
columns = st.columns((1,1,3))
with columns[0]:
st.metric(label = 'Spends', value=format_numbers(float(scenario.actual_total_spends)))
###print(f"##################### {scenario.actual_total_sales} ##################")
with columns[1]:
st.metric(label = target, value=format_numbers(float(scenario.actual_total_sales),include_indicator=False))
actual_summary_df = create_channel_summary(scenario)
actual_summary_df['Channel'] = actual_summary_df['Channel'].apply(channel_name_formating)
columns = st.columns((2,1))
with columns[0]:
with st.expander('Channel wise overview'):
st.markdown(actual_summary_df.style.set_table_styles(
[{
'selector': 'th',
'props': [('background-color', '#11B6BD')]
},
{
'selector' : 'tr:nth-child(even)',
'props' : [('background-color', '#11B6BD')]
}]).to_html(), unsafe_allow_html=True)
st.markdown("<hr>",unsafe_allow_html=True)
##############################
st.plotly_chart(create_contribution_pie(),use_container_width=True)
st.markdown("<hr>",unsafe_allow_html=True)
################################3
st.plotly_chart(create_contribuion_stacked_plot(scenario),use_container_width=True)
st.markdown("<hr>",unsafe_allow_html=True)
#######################################
selected_channel_name = st.selectbox('Channel', st.session_state['channels_list'] + ['non media'], format_func=channel_name_formating)
selected_channel = scenario.channels.get(selected_channel_name,None)
st.plotly_chart(create_channel_spends_sales_plot(selected_channel), use_container_width=True)
st.markdown("<hr>",unsafe_allow_html=True)
# elif auth_status == False:
# st.error('Username/Password is incorrect')
# if auth_status != True:
# try:
# username_forgot_pw, email_forgot_password, random_password = authenticator.forgot_password('Forgot password')
# if username_forgot_pw:
# st.success('New password sent securely')
# # Random password to be transferred to user securely
# elif username_forgot_pw == False:
# st.error('Username not found')
# except Exception as e:
# st.error(e)
|