Optimize system

This commit is contained in:
2025-08-31 15:19:24 -04:00
parent 2ec9e4781b
commit eb62501bbb
4 changed files with 1135 additions and 15 deletions
+108 -15
View File
@@ -18,6 +18,8 @@ from payroll_excel_exporter import PayrollExcelExporter
# Load environment variables in .env
load_dotenv()
from turnstile_utils import turnstile_utils
from db_performance_optimization import initialize_performance_optimizations
from app_performance_middleware import PerformanceMonitor
# Initialize Flask application
app = Flask(__name__)
@@ -1621,6 +1623,102 @@ def dashboard():
flash('Error loading dashboard. Please try again.', 'error')
return redirect(url_for('login'))
@app.route('/api/dashboard/stats')
@login_required
def dashboard_stats_api():
"""API endpoint for dashboard statistics"""
try:
# Get current stats
total_qr_codes = QRCode.query.filter_by(active_status=True).count()
# Today's check-ins
today = datetime.utcnow().date()
today_checkins = AttendanceData.query.filter(
AttendanceData.check_in_date == today
).count()
# Active projects
active_projects = Project.query.filter_by(active_status=True).count()
# Unique locations
unique_locations = db.session.query(
AttendanceData.location_name
).distinct().count()
# Calculate trends (compared to last month)
last_month = datetime.utcnow() - timedelta(days=30)
# QR codes trend
old_qr_count = QRCode.query.filter(
QRCode.created_date <= last_month,
QRCode.active_status == True
).count()
qr_change = ((total_qr_codes - old_qr_count) / max(old_qr_count, 1)) * 100
# Check-ins trend (yesterday)
yesterday = today - timedelta(days=1)
yesterday_checkins = AttendanceData.query.filter(
AttendanceData.check_in_date == yesterday
).count()
checkin_change = ((today_checkins - yesterday_checkins) / max(yesterday_checkins, 1)) * 100
return jsonify({
'success': True,
'total_qr_codes': total_qr_codes,
'today_checkins': today_checkins,
'active_projects': active_projects,
'unique_locations': unique_locations,
'qr_change': round(qr_change, 1),
'checkin_change': round(checkin_change, 1),
'project_change': 0, # You can calculate this based on your needs
'location_change': 0 # You can calculate this based on your needs
})
except Exception as e:
logger_handler.log_database_error('dashboard_stats_api', e)
return jsonify({
'success': False,
'error': 'Failed to fetch dashboard statistics'
}), 500
@app.route('/api/dashboard/realtime')
@login_required
def dashboard_realtime_api():
"""API endpoint for real-time dashboard data"""
try:
# Get recent activity (last 10 check-ins)
recent_activity = db.session.query(
AttendanceData.employee_id,
AttendanceData.location_name,
AttendanceData.check_in_time,
AttendanceData.check_in_date
).order_by(
AttendanceData.check_in_date.desc(),
AttendanceData.check_in_time.desc()
).limit(10).all()
activity_data = [
{
'employee_id': activity.employee_id,
'location': activity.location_name,
'time': activity.check_in_time.strftime('%H:%M'),
'date': activity.check_in_date.strftime('%Y-%m-%d')
}
for activity in recent_activity
]
return jsonify({
'success': True,
'recent_activity': activity_data
})
except Exception as e:
logger_handler.log_database_error('dashboard_realtime_api', e)
return jsonify({
'success': False,
'error': 'Failed to fetch real-time data'
}), 500
# USER MANAGEMENT ROUTES
@app.route('/profile', methods=['GET', 'POST'])
@login_required
@@ -6048,6 +6146,7 @@ def employee_detail(employee_index):
create_location_logging_routes(app, db, logger_handler)
# Jinja2 filters for better template functionality
@app.template_filter('days_since')
def days_since_filter(date):
@@ -6440,22 +6539,16 @@ if __name__ == '__main__':
# Initialize database and logging
create_tables()
# Add performance optimizations
create_performance_indexes()
create_audit_triggers()
# Initialize performance optimizations
print("🚀 Initializing performance optimizations...")
cached_query = initialize_performance_optimizations(app, db, logger_handler)
performance_monitor = PerformanceMonitor(app, db, logger_handler)
if cached_query:
print("✅ Performance optimizations completed successfully")
else:
print("⚠️ Performance optimizations completed with warnings")
# Log optimization completion
logger_handler.log_system_event(
event_type="database_optimization_complete",
description="Database performance optimization completed successfully",
severity="INFO",
additional_data={
"indexes_created": True,
"triggers_created": True,
"optimization_timestamp": datetime.utcnow().isoformat()
}
)
print("🚀 Database optimization completed successfully")
# Log application startup
logger_handler.logger.info("QR Attendance Management System started successfully")