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Overview.py

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+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()
+
+for k, v in st.session_state.items():
+    print('printing')
+    print(k)
+    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 = 'Prospects', 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', '#15C39A')]
+            },
+                {
+                'selector' : 'tr:nth-child(even)',
+                'props' : [('background-color', '#15C39A4D')]
+                }]).hide_index().to_html(), unsafe_allow_html=True)
+
+    st.markdown("<hr>",unsafe_allow_html=True)
+    ##############################
+
+    st.plotly_chart(create_contribution_pie(scenario),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)

Untitled.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "def0e525",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "6f07a1fb",
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "ModuleNotFoundError",
+     "evalue": "No module named 'streamlit'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[1;31mModuleNotFoundError\u001b[0m                       Traceback (most recent call last)",
+      "\u001b[1;32m~\\AppData\\Local\\Temp\\ipykernel_10272\\318308029.py\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[1;32mimport\u001b[0m \u001b[0mstreamlit\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0mst\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      2\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      3\u001b[0m \u001b[1;31m# Define the pages of your app\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      4\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mpage1\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      5\u001b[0m   \u001b[0mst\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mwrite\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"This is page 1\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
+      "\u001b[1;31mModuleNotFoundError\u001b[0m: No module named 'streamlit'"
+     ]
+    }
+   ],
+   "source": [
+    "import streamlit as st\n",
+    "\n",
+    "# Define the pages of your app\n",
+    "def page1():\n",
+    "  st.write(\"This is page 1\")\n",
+    "\n",
+    "def page2():\n",
+    "  st.write(\"This is page 2\")\n",
+    "\n",
+    "# Create a sidebar menu\n",
+    "st.sidebar.header(\"Menu\")\n",
+    "button1 = st.sidebar.button(\"Page 1\")\n",
+    "button2 = st.sidebar.button(\"Page 2\")\n",
+    "\n",
+    "# Display the selected page\n",
+    "if button1:\n",
+    "  page1()\n",
+    "elif button2:\n",
+    "  page2()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "751f3256",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.13"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}