File size: 12,687 Bytes
be4456f
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
import streamlit as st
from numerize.numerize import numerize
import io
import pandas as pd
from utilities import (format_numbers,decimal_formater,
                       channel_name_formating,
                       load_local_css,set_header,
                       initialize_data,
                       load_authenticator)
from openpyxl import Workbook
from openpyxl.styles import Alignment,Font,PatternFill
import pickle
import streamlit_authenticator as stauth
import yaml
from yaml import SafeLoader
from classes import class_from_dict

st.set_page_config(layout='wide')
load_local_css('styles.css')
set_header()

# 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

def create_scenario_summary(scenario_dict):
    summary_rows = []
    for channel_dict in scenario_dict['channels']:
        name_mod = channel_name_formating(channel_dict['name'])
        summary_rows.append([name_mod,
                             channel_dict.get('actual_total_spends') * channel_dict.get('conversion_rate'),
                             channel_dict.get('modified_total_spends') * channel_dict.get('conversion_rate'),
                             channel_dict.get('actual_total_sales') ,
                             channel_dict.get('modified_total_sales'),
                             channel_dict.get('actual_total_sales') / (channel_dict.get('actual_total_spends') * channel_dict.get('conversion_rate')), 
                             channel_dict.get('modified_total_sales') / (channel_dict.get('modified_total_spends') * channel_dict.get('conversion_rate')),
                             channel_dict.get('actual_mroi'), 
                             channel_dict.get('modified_mroi'),
                             channel_dict.get('actual_total_spends') * channel_dict.get('conversion_rate') / channel_dict.get('actual_total_sales'),
                             channel_dict.get('modified_total_spends') * channel_dict.get('conversion_rate') / channel_dict.get('modified_total_sales')])
        
    summary_rows.append(['Total',
                         scenario_dict.get('actual_total_spends'), 
                         scenario_dict.get('modified_total_spends'),
                         scenario_dict.get('actual_total_sales'), 
                         scenario_dict.get('modified_total_sales'),
                         scenario_dict.get('actual_total_sales') / scenario_dict.get('actual_total_spends'),
                         scenario_dict.get('modified_total_sales') / scenario_dict.get('modified_total_spends'),
                         '-',
                         '-',
                         scenario_dict.get('actual_total_spends') / scenario_dict.get('actual_total_sales'),
                         scenario_dict.get('modified_total_spends') / scenario_dict.get('modified_total_sales')])
    
    columns_index = pd.MultiIndex.from_product([[''],['Channel']], names=["first", "second"])
    columns_index = columns_index.append(pd.MultiIndex.from_product([['Spends','NRPU','ROI','MROI','Spend per NRPU'],['Actual','Simulated']], names=["first", "second"]))
    return  pd.DataFrame(summary_rows, columns=columns_index)
    

   
def summary_df_to_worksheet(df, ws):
    heading_fill = PatternFill(fill_type='solid',start_color='FF11B6BD',end_color='FF11B6BD')
    for j,header in enumerate(df.columns.values):
        col = j + 1
        for i in range(1,3):
            ws.cell(row=i, column=j + 1, value=header[i - 1]).font = Font(bold=True, color='FF11B6BD')
            ws.cell(row=i,column=j+1).fill = heading_fill
        if  col > 1 and (col - 6)%5==0:    
            ws.merge_cells(start_row=1, end_row=1, start_column = col-3, end_column=col)
            ws.cell(row=1,column=col).alignment = Alignment(horizontal='center')
    for i,row in enumerate(df.itertuples()):
        for j,value in enumerate(row):
            if j == 0:
                continue
            elif (j-2)%4 == 0 or (j-3)%4 == 0:
                ws.cell(row=i+3, column = j, value=value).number_format = '$#,##0.0' 
            else:
                ws.cell(row=i+3, column = j, value=value)
   
from openpyxl.utils import get_column_letter
from openpyxl.styles import Font, PatternFill
import logging

def scenario_df_to_worksheet(df, ws):
    heading_fill = PatternFill(start_color='FF11B6BD', end_color='FF11B6BD', fill_type='solid')
    
    for j, header in enumerate(df.columns.values):
        cell = ws.cell(row=1, column=j + 1, value=header)
        cell.font = Font(bold=True, color='FF11B6BD')
        cell.fill = heading_fill

    for i, row in enumerate(df.itertuples()):
        for j, value in enumerate(row[1:], start=1):  # Start from index 1 to skip the index column
            try:
                cell = ws.cell(row=i + 2, column=j, value=value)
                if isinstance(value, (int, float)):
                    cell.number_format = '$#,##0.0'
                elif isinstance(value, str):
                    cell.value = value[:32767]
                else:
                    cell.value = str(value)
            except ValueError as e:
                logging.error(f"Error assigning value '{value}' to cell {get_column_letter(j)}{i+2}: {e}")
                cell.value = None  # Assign None to the cell where the error occurred

    return ws





   
def download_scenarios():
    """

    Makes a excel with all saved scenarios and saves it locally

    """
    ## create summary page
    if len(scenarios_to_download) == 0:
        return
    wb = Workbook()
    wb.iso_dates = True
    wb.remove(wb.active)
    st.session_state['xlsx_buffer'] = io.BytesIO()
    summary_df = None
    #print(scenarios_to_download)
    for scenario_name in scenarios_to_download:
        scenario_dict =  st.session_state['saved_scenarios'][scenario_name]
        _spends = []
        column_names = ['Date']
        _sales = None
        dates = None
        summary_rows = []
        for channel in scenario_dict['channels']:
            if dates is None:
                dates = channel.get('dates')
                _spends.append(dates)
            if _sales is None:
                _sales = channel.get('modified_sales')
            else:
                _sales += channel.get('modified_sales')
            _spends.append(channel.get('modified_spends') * channel.get('conversion_rate'))
            column_names.append(channel.get('name'))
            
            name_mod = channel_name_formating(channel['name'])
            summary_rows.append([name_mod,
                                channel.get('modified_total_spends') * channel.get('conversion_rate') ,
                                channel.get('modified_total_sales'),
                                channel.get('modified_total_sales') / channel.get('modified_total_spends') * channel.get('conversion_rate'),
                                channel.get('modified_mroi'),
                                channel.get('modified_total_sales') / channel.get('modified_total_spends') * channel.get('conversion_rate')])
        _spends.append(_sales)
        column_names.append('NRPU')
        scenario_df = pd.DataFrame(_spends).T
        scenario_df.columns = column_names
        ## write to sheet
        ws = wb.create_sheet(scenario_name)
        scenario_df_to_worksheet(scenario_df, ws)    
        summary_rows.append(['Total',
                        scenario_dict.get('modified_total_spends') ,
                        scenario_dict.get('modified_total_sales'),
                        scenario_dict.get('modified_total_sales') / scenario_dict.get('modified_total_spends'),
                        '-',
                        scenario_dict.get('modified_total_spends') / scenario_dict.get('modified_total_sales')])
        columns_index = pd.MultiIndex.from_product([[''],['Channel']], names=["first", "second"])
        columns_index = columns_index.append(pd.MultiIndex.from_product([[scenario_name],['Spends','NRPU','ROI','MROI','Spends per NRPU']], names=["first", "second"]))
        if summary_df is None:
            summary_df = pd.DataFrame(summary_rows, columns = columns_index)
            summary_df = summary_df.set_index(('','Channel'))
        else:
            _df = pd.DataFrame(summary_rows, columns = columns_index)
            _df = _df.set_index(('','Channel'))
            summary_df = summary_df.merge(_df, left_index=True, right_index=True)
    ws = wb.create_sheet('Summary',0)
    summary_df_to_worksheet(summary_df.reset_index(), ws)
    wb.save(st.session_state['xlsx_buffer'])
    st.session_state['disable_download_button'] = False

def disable_download_button():
    st.session_state['disable_download_button'] =True

def transform(x):
    if x.name == ("",'Channel'):
        return x
    elif x.name[0] == 'ROI' or x.name[0] == 'MROI':
        return x.apply(lambda y : y if isinstance(y,str) else decimal_formater(format_numbers(y,include_indicator=False,n_decimals=4),n_decimals=4))
    else:
        return x.apply(lambda y : y if isinstance(y,str) else format_numbers(y))

def delete_scenario():
    if selected_scenario in st.session_state['saved_scenarios']:
        del st.session_state['saved_scenarios'][selected_scenario]
        with open('../saved_scenarios.pkl', 'wb') as f:
            pickle.dump(st.session_state['saved_scenarios'],f)     
            
def load_scenario():
    if selected_scenario in st.session_state['saved_scenarios']:
        st.session_state['scenario'] = class_from_dict(selected_scenario_details)
        


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.get('authentication_status')

if auth_status == True:
    is_state_initiaized = st.session_state.get('initialized',False)
    if not is_state_initiaized:
        #print("Scenario page state reloaded")
        initialize_data()


    saved_scenarios = st.session_state['saved_scenarios']


    if len(saved_scenarios) ==0:
        st.header('No saved scenarios')
        
    else:
        
        with st.sidebar:
            selected_scenario = st.radio(
                'Pick a scenario to view details',
                list(saved_scenarios.keys())
            )
            st.markdown("""<hr>""", unsafe_allow_html=True)
            scenarios_to_download = st.multiselect('Select scenarios to download',
                        list(saved_scenarios.keys()))
            
            st.button('Prepare download',on_click=download_scenarios)
            st.download_button(
                    label="Download Scenarios",
                    data=st.session_state['xlsx_buffer'].getvalue(),
                    file_name="scenarios.xlsx",
                    mime="application/vnd.ms-excel",
                    disabled= st.session_state['disable_download_button'],
                    on_click= disable_download_button
                )
            
        column_1, column_2,column_3 = st.columns((6,1,1))
        with column_1:
            st.header(selected_scenario)
        with column_2:
            st.button('Delete scenarios', on_click=delete_scenario)
        with column_3:
            st.button('Load Scenario', on_click=load_scenario)
        
        selected_scenario_details = saved_scenarios[selected_scenario]
        
        pd.set_option('display.max_colwidth', 100)
            
        st.markdown(create_scenario_summary(selected_scenario_details).transform(transform).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)
        
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)