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import streamlit as st

from datetime import datetime, timedelta

import plotly.graph_objects as go

import plotly.express as px

from typing import Dict, List, Any

import sys

import os

import time

sys.path.append(os.path.join(os.path.dirname(__file__), '..', 'utils'))

from firebase_config import get_firestore_client, COLLECTIONS

from google.cloud.firestore import FieldFilter

from functools import lru_cache

from translations import translate, t, get_language

def show_dashboard():

"""Display simplified user dashboard for non-technical users"""

# ===== HEADER SECTION =====

display_dashboard_header()

# Use anonymous user ID if not authenticated

user_id = st.session_state.get('user_id', 'anonymous')

user_info = {'name': 'User', 'email': 'user@example.com', 'created_at': 'Unknown'}

# ===== MAIN DASHBOARD TABS =====

tab1, tab2 = st.tabs([t('dashboard_tab_1'), t('dashboard_tab_2')])

with tab1:

# ===== SIMPLIFIED LAYOUT =====

col1, col2 = st.columns([2, 1])

with col1:

# ===== USER OVERVIEW SECTION =====

display_user_overview_section(user_info, user_id)

# ===== RECENT REPORTS SECTION =====

display_recent_reports_section(user_id)

# ===== QUICK ACTIONS SECTION =====

display_simple_quick_actions()

with col2:

# ===== USER PROFILE CARD =====

display_simple_user_profile(user_info)

# ===== SYSTEM STATUS =====

display_simple_system_status()

with tab2:

# ===== HELP US IMPROVE TAB =====

display_help_us_improve_tab()

def _cached_user_stats(user_id: str) -> Dict[str, Any]:

try:

db = get_firestore_client()

if not db:

return {'total_analyses': 0, 'recent_activity': 0, 'total_recommendations': 0}

# Try both user_id and user_email approaches

# First try with user_id

q = db.collection('analysis_results').where(filter=FieldFilter('user_id', '==', user_id)).order_by('created_at', direction='DESCENDING').limit(50)

docs = list(q.stream())

total = len(docs)

# If no results with user_id, try with user_email from session state

if total == 0 and 'user_email' in st.session_state:

user_email = st.session_state.get('user_email')

q = db.collection('analysis_results').where(filter=FieldFilter('user_id', '==', user_email)).order_by('created_at', direction='DESCENDING').limit(50)

docs = list(q.stream())

total = len(docs)

now = datetime.utcnow()

week_count = 0

recs = 0

for d in docs:

data = d.to_dict()

created = data.get('created_at', now)

# Handle different datetime formats

if hasattr(created, 'timestamp'):

delta_days = (now - created).days

elif hasattr(created, 'replace') and hasattr(created, 'tzinfo') and created.tzinfo is not None:

created_naive = created.replace(tzinfo=None)

delta_days = (now - created_naive).days

else:

delta_days = 0

if delta_days <= 7:

week_count += 1

# Count recommendations from the analysis data

recommendations = data.get('recommendations', [])

if isinstance(recommendations, list):

recs += len(recommendations)

elif isinstance(recommendations, dict):