export interface User {
  email: string
  name: string
  is_admin: boolean
  caps: string[]
}

export function can(user: User | null, cap: string): boolean {
  if (!user) return false
  return user.is_admin || user.caps.includes(cap)
}

export interface Hotel {
  id: number
  name: string
  tier: 'own' | 'competitor' | 'market'
  star_rating: number | null
  review_score: number | null
  booking_com_url: string | null
  booking_com_id: string | null
  display_order: number
  notes: string | null
  is_active: boolean
  scraped_dates?: number
  last_scraped?: string | null
}

export interface RateMatrixEntry {
  hotel_id: number
  hotel_name: string
  tier: string
  rate_date: string
  rate_gross: number | null
  availability_status: string
  rooms_left: number | null
  scraped_at: string | null
}

export interface ScraperStatus {
  enabled: boolean
  backend: string
  daily_time: string
  last_batch: {
    batch_id: string
    started_at: string
    status: string
    rates_scraped: number
    dates_completed: number
  } | null
}

export interface BookabilityCategory {
  category_id: string
  category_name: string
  room_count: number
  display_order: number
  dates: BookabilityDate[]
}

export interface BookabilityDate {
  date: string
  gross_rate: number | null
  tariffs: TariffSummary[]
  occupancy_pct: number | null
  available_rooms: number | null
  is_bookable: boolean
}

export interface TariffSummary {
  tariff_name: string
  rate: number | null
  min_stay: number | null
  advance_max: number | null
  is_available: boolean
}

export interface AdvancePurchaseCurvePoint {
  lead_bucket: string
  avg_rate: number
  sample_count: number
}

export interface DowAnalysisPoint {
  dow: number
  dow_label: string
  avg_rate: number
  date_count: number
}

export interface StrategySummary {
  advance_discount_pct: number | null
  weekend_premium_pct: number | null
  avg_sold_out_rate_pct: number | null
  strategy_label: string
}

export interface HotelAnalysis {
  hotel: Hotel
  date_range: { from: string; to: string }
  advance_purchase_curve: AdvancePurchaseCurvePoint[]
  dow_analysis: DowAnalysisPoint[]
  sold_out_pattern: Array<{ dow: number; dow_label: string; total_dates: number; sold_out_dates: number }>
  strategy_summary: StrategySummary
}

export interface RateTimelinePoint {
  scraped_at: string
  rate_gross: number | null
  availability_status: string
  rooms_left: number | null
  days_out: number
}