"""
Reporting services for analytics and business intelligence.
"""
from typing import Dict, Any, List
from datetime import date, timedelta
from django.utils import timezone
from backend.core.repositories.services.services import ServiceRepository
from backend.core.repositories.projects.projects import ProjectRepository
from backend.core.repositories.invoices.invoices import InvoiceRepository
from backend.core.repositories.reports.reports import ReportRepository
from backend.core.repositories.revenues.revenues import RevenueRepository
from backend.core.repositories.labor.labor import LaborRepository


class ReportingService:
    """
    Service for generating business reports and analytics.
    """

    @staticmethod
    def get_monthly_summary(year: int, month: int) -> Dict[str, Any]:
        """
        Get monthly business summary.

        Args:
            year: Year
            month: Month (1-12)

        Returns:
            Dictionary with monthly summary data
        """
        # Calculate date range for the month
        start_date = date(year, month, 1)
        if month == 12:
            end_date = date(year + 1, 1, 1) - timedelta(days=1)
        else:
            end_date = date(year, month + 1, 1) - timedelta(days=1)

        # Get services in the month
        services = ServiceRepository.get_by_date_range(start_date, end_date)

        # Get projects in the month
        projects = ProjectRepository.get_by_date_range(start_date, end_date)

        # Get invoices in the month
        invoices = InvoiceRepository.get_by_date_range(start_date, end_date)

        # Get paid invoices in the month
        paid_invoices = invoices.filter(status='paid')

        # Calculate total revenue and labor for the month
        total_revenue = RevenueRepository.get_total_revenue(None, start_date, end_date)
        total_labor = LaborRepository.get_total_labor_cost(None, start_date, end_date)

        # Calculate profit
        profit = total_revenue - total_labor

        # Service statistics
        service_stats = {
            'total': services.count(),
            'completed': services.filter(status='completed').count(),
            'cancelled': services.filter(status='cancelled').count(),
            'completion_rate': services.filter(
                status='completed').count() / services.count() if services.count() > 0 else 0
        }

        # Project statistics
        project_stats = {
            'total': projects.count(),
            'completed': projects.filter(status='completed').count(),
            'cancelled': projects.filter(status='cancelled').count(),
            'completion_rate': projects.filter(
                status='completed').count() / projects.count() if projects.count() > 0 else 0,
            'total_amount': sum(p.amount for p in projects),
            'total_labor': sum(p.labor for p in projects),
            'profit': sum(p.amount - p.labor for p in projects)
        }

        # Invoice statistics
        invoice_stats = {
            'total': invoices.count(),
            'paid': paid_invoices.count(),
            'payment_rate': paid_invoices.count() / invoices.count() if invoices.count() > 0 else 0,
            'total_amount': sum(i.total_amount for i in invoices),
            'paid_amount': sum(i.total_amount for i in paid_invoices)
        }

        return {
            'period': {
                'year': year,
                'month': month,
                'start_date': start_date.isoformat(),
                'end_date': end_date.isoformat()
            },
            'financials': {
                'revenue': total_revenue,
                'labor': total_labor,
                'profit': profit,
                'profit_margin': (profit / total_revenue) * 100 if total_revenue > 0 else 0
            },
            'services': service_stats,
            'projects': project_stats,
            'invoices': invoice_stats
        }

    @staticmethod
    def get_team_performance(start_date: date = None, end_date: date = None) -> List[Dict[str, Any]]:
        """
        Get team member performance metrics.

        Args:
            start_date: Start date (inclusive)
            end_date: End date (inclusive)

        Returns:
            List of team member performance data
        """
        # Set default date range to current month if not provided
        if not start_date:
            today = timezone.now().date()
            start_date = date(today.year, today.month, 1)

        if not end_date:
            end_date = timezone.now().date()

        # Get team members with activity
        team_activity = ReportRepository.get_team_summary(start_date, end_date)

        team_performance = []
        for member_id, summary in team_activity.get('member_summaries', {}).items():
            # Get services completed by the team member
            services_completed = ServiceRepository.get_by_team_member(member_id).filter(
                status='completed',
                date__gte=start_date,
                date__lte=end_date
            ).count()

            # Get projects completed by the team member
            projects_completed = ProjectRepository.get_by_team_member(member_id).filter(
                status='completed',
                date__gte=start_date,
                date__lte=end_date
            ).count()

            # Calculate metrics
            performance = {
                'member_id': member_id,
                'name': summary['name'],
                'reports_submitted': summary['report_count'],
                'services_completed': services_completed,
                'projects_completed': projects_completed,
                'total_work_items': services_completed + projects_completed
            }

            team_performance.append(performance)

        # Sort by total work items descending
        team_performance.sort(key=lambda x: x['total_work_items'], reverse=True)

        return team_performance