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("""