style update

clients.py

@@ -1,9 +1,3 @@
-#!/usr/bin/env python3
-# -*- coding: utf-8 -*-
-"""
-Created on Mon Jan  1 11:20:18 2024
-@author: mohanadafiffy
-"""
 import os 
 import streamlit as st
 import pandas as pd
@@ -383,7 +377,7 @@ def fetch_analytics_data(host, start_date=None, end_date=None):
             records.append({
                 'email_receiver': email_receiver,
                 'timestamp': pd.to_datetime(timestamp),
-                'count': count
+                'Total Companies/Executives engaged': count
             })
     
     df = pd.DataFrame(records)
@@ -408,6 +402,8 @@ def fetch_analytics_data(host, start_date=None, end_date=None):
     
     return df
 
+
+
 def display_analytics():
     """
     Displays the analytics data with a time filter.
@@ -416,10 +412,15 @@ def display_analytics():
     rengagement_host = os.getenv("rengagement_host")
     hook_host = os.getenv("hook_host")
     
+    # Calculate the start and end of the current week
+    today = datetime.date.today()
+    start_of_week = today - datetime.timedelta(days=today.weekday())  # Monday
+    end_of_week = start_of_week + datetime.timedelta(days=6)  # Sunday
+    
     # Time filter inputs
     st.html('<h1 class="title">Analytics</h1>')
-    start_date = st.date_input("Start Date", value=pd.to_datetime("2024-10-01"))
-    end_date = st.date_input("End Date", value=pd.to_datetime("today"))
+    start_date = st.date_input("Start Date", value=start_of_week)
+    end_date = st.date_input("End Date", value=end_of_week)
     
     cold_df = fetch_analytics_data(cold_host, start_date, end_date)
     rengagement_df = fetch_analytics_data(rengagement_host, start_date, end_date)