from fastapi import APIRouter, HTTPException
from app.core.database import execute_query, execute_query_single
from typing import Dict, Any, List
import logging

logger = logging.getLogger(__name__)

router = APIRouter()

@router.get("/stats", response_model=Dict[str, Any])
async def get_dashboard_stats():
    """
    Get aggregated statistics for the dashboard
    """
    try:
        logger.info("📊 Fetching dashboard stats...")
        
        # 1. Customer Counts & Trends
        logger.info("Fetching customer count...")
        customer_res = execute_query_single("SELECT COUNT(*) as count FROM customers WHERE deleted_at IS NULL")
        customer_count = customer_res['count'] if customer_res else 0
        
        # New customers this month
        new_customers_res = execute_query_single("""
            SELECT COUNT(*) as count 
            FROM customers 
            WHERE deleted_at IS NULL 
            AND created_at >= DATE_TRUNC('month', CURRENT_DATE)
        """)
        new_customers_this_month = new_customers_res['count'] if new_customers_res else 0
        
        # Previous month's new customers for trend calculation
        prev_month_customers_res = execute_query_single("""
            SELECT COUNT(*) as count 
            FROM customers 
            WHERE deleted_at IS NULL 
            AND created_at >= DATE_TRUNC('month', CURRENT_DATE - INTERVAL '1 month')
            AND created_at < DATE_TRUNC('month', CURRENT_DATE)
        """)
        prev_month_customers = prev_month_customers_res['count'] if prev_month_customers_res else 0
        
        customer_growth_pct = 0
        if prev_month_customers > 0:
            customer_growth_pct = round(((new_customers_this_month - prev_month_customers) / prev_month_customers) * 100, 1)
        elif new_customers_this_month > 0:
            customer_growth_pct = 100
        
        # 2. Ticket Counts
        logger.info("Fetching ticket stats...")
        ticket_res = execute_query_single("""
            SELECT COUNT(*) as total_count,
                   COUNT(*) FILTER (WHERE status IN ('open', 'in_progress')) as open_count,
                   COUNT(*) FILTER (WHERE priority = 'high' AND status IN ('open', 'in_progress')) as urgent_count
            FROM tticket_tickets
        """)
        ticket_count = ticket_res['open_count'] if ticket_res else 0
        urgent_ticket_count = ticket_res['urgent_count'] if ticket_res else 0
        
        # 3. Hardware Count
        logger.info("Fetching hardware count...")
        hardware_res = execute_query_single("SELECT COUNT(*) as count FROM hardware")
        hardware_count = hardware_res['count'] if hardware_res else 0
        
        # 4. Revenue (from fixed price billing periods - current month)
        logger.info("Fetching revenue stats...")
        revenue_res = execute_query_single("""
            SELECT COALESCE(SUM(base_amount + COALESCE(overtime_amount, 0)), 0) as total
            FROM fixed_price_billing_periods
            WHERE period_start >= DATE_TRUNC('month', CURRENT_DATE)
            AND period_start < DATE_TRUNC('month', CURRENT_DATE + INTERVAL '1 month')
        """)
        current_revenue = float(revenue_res['total']) if revenue_res and revenue_res['total'] else 0
        
        # Previous month revenue for trend
        prev_revenue_res = execute_query_single("""
            SELECT COALESCE(SUM(base_amount + COALESCE(overtime_amount, 0)), 0) as total
            FROM fixed_price_billing_periods
            WHERE period_start >= DATE_TRUNC('month', CURRENT_DATE - INTERVAL '1 month')
            AND period_start < DATE_TRUNC('month', CURRENT_DATE)
        """)
        prev_revenue = float(prev_revenue_res['total']) if prev_revenue_res and prev_revenue_res['total'] else 0
        
        revenue_growth_pct = 0
        if prev_revenue > 0:
            revenue_growth_pct = round(((current_revenue - prev_revenue) / prev_revenue) * 100, 1)
        elif current_revenue > 0:
            revenue_growth_pct = 100

        logger.info("✅ Dashboard stats fetched successfully")
        return {
            "customers": {
                "total": customer_count,
                "new_this_month": new_customers_this_month,
                "growth_pct": customer_growth_pct
            },
            "tickets": {
                "open_count": ticket_count,
                "urgent_count": urgent_ticket_count
            },
            "hardware": {
                "total": hardware_count
            },
            "revenue": {
                "current_month": current_revenue,
                "growth_pct": revenue_growth_pct
            }
        }
    except Exception as e:
        logger.error(f"❌ Error fetching dashboard stats: {e}", exc_info=True)
        raise HTTPException(status_code=500, detail=str(e))


@router.get("/search", response_model=Dict[str, List[Any]])
async def global_search(q: str):
    """
    Global search across customers, contacts, and vendors
    """
    if not q or len(q) < 2:
        return {"customers": [], "contacts": [], "vendors": []}
        
    search_term = f"%{q}%"
    
    try:
        # Search Customers
        customers = execute_query("""
            SELECT id, name, email, 'Kunde' as type 
            FROM customers 
            WHERE deleted_at IS NULL AND (
                name ILIKE %s OR 
                email ILIKE %s OR 
                cvr_number ILIKE %s OR 
                phone ILIKE %s OR 
                mobile_phone ILIKE %s
            )
            LIMIT 5
        """, (search_term, search_term, search_term, search_term, search_term))
        
        # Search Contacts
        contacts = execute_query("""
            SELECT id, first_name || ' ' || last_name as name, email, 'Kontakt' as type 
            FROM contacts 
            WHERE first_name ILIKE %s OR 
                  last_name ILIKE %s OR 
                  email ILIKE %s OR 
                  phone ILIKE %s OR 
                  mobile ILIKE %s
            LIMIT 5
        """, (search_term, search_term, search_term, search_term, search_term))
        
        # Search Vendors
        vendors = execute_query("""
            SELECT id, name, email, 'Leverandør' as type 
            FROM vendors 
            WHERE is_active = true AND (
                name ILIKE %s OR 
                email ILIKE %s OR 
                cvr_number ILIKE %s OR 
                phone ILIKE %s
            )
            LIMIT 5
        """, (search_term, search_term, search_term, search_term))
        
        return {
            "customers": customers or [],
            "contacts": contacts or [],
            "vendors": vendors or []
        }
    except Exception as e:
        logger.error(f"❌ Error performing global search: {e}", exc_info=True)
        return {"customers": [], "contacts": [], "vendors": []}


@router.get("/search/sag", response_model=List[Dict[str, Any]])
async def search_sag(q: str):
    """
    Search for cases (sager) with customer information
    """
    if not q or len(q) < 2:
        return []
        
    search_term = f"%{q}%"
    
    try:
        # Search cases with customer names
        sager = execute_query("""
            SELECT 
                s.id, 
                s.titel, 
                s.beskrivelse,
                s.status, 
                s.created_at,
                s.customer_id,
                c.name as customer_name
            FROM sag_sager s
            LEFT JOIN customers c ON s.customer_id = c.id
            WHERE s.deleted_at IS NULL 
            AND (
                CAST(s.id AS TEXT) ILIKE %s OR
                s.titel ILIKE %s OR 
                s.beskrivelse ILIKE %s OR
                c.name ILIKE %s
            )
            ORDER BY s.created_at DESC
            LIMIT 20
        """, (search_term, search_term, search_term, search_term))
        
        return sager or []
    except Exception as e:
        logger.error(f"❌ Error searching sager: {e}", exc_info=True)
        return []


@router.get("/live-stats", response_model=Dict[str, Any])
async def get_live_stats():
    """
    Get live statistics for the three live boxes: Sales, Support, Økonomi
    """
    try:
        # Sales Stats (placeholder - replace with real data when tables exist)
        sales_stats = {
            "active_orders": 0,
            "monthly_sales": 0,
            "open_quotes": 0
        }
        
        # Support Stats (placeholder)
        support_stats = {
            "open_tickets": 0,
            "avg_response_time": 0,
            "today_tickets": 0
        }
        
        # Finance Stats (placeholder)
        finance_stats = {
            "unpaid_invoices_count": 0,
            "unpaid_invoices_amount": 0,
            "overdue_invoices": 0,
            "today_payments": 0
        }
        
        # Try to get real customer count as a demo
        try:
            customer_count = execute_query("SELECT COUNT(*) as count FROM customers WHERE deleted_at IS NULL")
            sales_stats["active_orders"] = customer_count.get('count', 0) if customer_count else 0
        except:
            pass
            
        return {
            "sales": sales_stats,
            "support": support_stats,
            "finance": finance_stats
        }
    except Exception as e:
        logger.error(f"❌ Error fetching live stats: {e}", exc_info=True)
        return {
            "sales": {"active_orders": 0, "monthly_sales": 0, "open_quotes": 0},
            "support": {"open_tickets": 0, "avg_response_time": 0, "today_tickets": 0},
            "finance": {"unpaid_invoices_count": 0, "unpaid_invoices_amount": 0, "overdue_invoices": 0, "today_payments": 0}
        }


@router.get("/reminders/upcoming", response_model=List[Dict[str, Any]])
async def get_upcoming_reminders():
    """
    Get upcoming reminders for the dashboard calendar widget
    """
    try:
        # Get active reminders with next check date within 7 days
        reminders = execute_query("""
            SELECT 
                r.id,
                r.sag_id,
                r.title,
                r.next_check_at as due_date,
                r.priority,
                s.titel as case_title
            FROM sag_reminders r
            LEFT JOIN sag_sager s ON r.sag_id = s.id
            WHERE r.is_active = true 
            AND r.deleted_at IS NULL
            AND r.next_check_at IS NOT NULL
            AND r.next_check_at <= CURRENT_DATE + INTERVAL '7 days'
            ORDER BY r.next_check_at ASC
            LIMIT 10
        """)
        
        return reminders or []
    except Exception as e:
        logger.error(f"❌ Error fetching upcoming reminders: {e}", exc_info=True)
        return []


@router.get("/recent-activity", response_model=List[Dict[str, Any]])
async def get_recent_activity():
    """
    Get recent activity across the system for the dashboard feed
    """
    try:
        activities = []
        
        # Recent customers
        recent_customers = execute_query("""
            SELECT id, name, created_at, 'customer' as activity_type, 'bi-building' as icon, 'primary' as color
            FROM customers 
            WHERE deleted_at IS NULL
            ORDER BY created_at DESC 
            LIMIT 5
        """)
        
        # Recent tickets
        recent_tickets = execute_query("""
            SELECT id, subject as name, created_at, 'ticket' as activity_type, 'bi-ticket' as icon, 'warning' as color
            FROM tticket_tickets 
            ORDER BY created_at DESC 
            LIMIT 5
        """)
        
        # Recent cases (sager)
        recent_cases = execute_query("""
            SELECT id, titel as name, created_at, 'case' as activity_type, 'bi-folder' as icon, 'info' as color
            FROM sag_sager
            WHERE deleted_at IS NULL
            ORDER BY created_at DESC 
            LIMIT 5
        """)
        
        # Combine all activities
        if recent_customers:
            activities.extend(recent_customers)
        if recent_tickets:
            activities.extend(recent_tickets)
        if recent_cases:
            activities.extend(recent_cases)
        
        # Sort by created_at and limit
        activities.sort(key=lambda x: x.get('created_at', ''), reverse=True)
        
        return activities[:15]
    except Exception as e:
        logger.error(f"❌ Error fetching recent activity: {e}", exc_info=True)
        return []