from pydantic import BaseModel, Field
from typing import Optional, Dict, Any, List
from datetime import datetime
import uuid


class EventCreate(BaseModel):
    event_type: str = Field(..., max_length=64)
    page: str = Field(..., max_length=255)
    element: Optional[str] = Field(None, max_length=255)
    metadata: Optional[Dict[str, Any]] = None
    session_id: Optional[str] = Field(None, max_length=64)


class EventResponse(BaseModel):
    id: uuid.UUID
    event_type: str
    page: str
    element: Optional[str]
    session_id: str
    ip_partial: Optional[str]
    browser: Optional[str]
    os_name: Optional[str]
    country: Optional[str]
    city: Optional[str]
    created_at: datetime

    model_config = {"from_attributes": True}


class DailyStat(BaseModel):
    date: str
    count: int


class TopItem(BaseModel):
    label: str
    count: int


class AnalyticsSummary(BaseModel):
    total_events_today: int
    total_events_yesterday: int
    page_views_today: int
    unique_sessions_today: int
    unique_sessions_total: int
    total_events_all_time: int
    events_by_type: List[TopItem]
    top_pages: List[TopItem]
    top_elements: List[TopItem]
    top_journeys: List[TopItem]
    top_browsers: List[TopItem]
    top_os: List[TopItem]
    top_countries: List[TopItem]
    events_last_7_days: List[DailyStat]
    recent_events: List[EventResponse]


class BookingActivityStat(BaseModel):
    date: str
    booked: int
    cancellations: int


class BookingForwardLoadStat(BaseModel):
    date: str
    total: int
    am: int
    pm: int


class BookingCustomerVolume(BaseModel):
    label: str
    count: int


class BookingOperationsSummary(BaseModel):
    active_bookings_total: int
    forward_load_total: int
    booked_last_30_days: int
    cancellations_last_30_days: int
    high_volume_customer_count: int
    forward_load_next_14_days: List[BookingForwardLoadStat]
    activity_last_30_days: List[BookingActivityStat]
    top_high_volume_customers: List[BookingCustomerVolume]