"""
MongoDB document models for Live Tracking.

Two collections:
  workforce_location_live    — one doc per employee (upserted), real-time state
  workforce_location_history — append-only time-series, TTL 90 days
"""
from datetime import datetime
from typing import Optional
from pydantic import BaseModel, Field


class GeoPoint(BaseModel):
    """GeoJSON Point — stored as { type: 'Point', coordinates: [lng, lat] }"""
    type: str = "Point"
    coordinates: list[float] = Field(..., description="[longitude, latitude]")


class LiveLocationModel(BaseModel):
    """
    workforce_location_live collection.
    One document per (profile_id, merchant_id). Upserted on every ping.
    """
    profile_id: str
    merchant_id: str
    location: GeoPoint                        # GeoJSON for $near queries
    latitude: float
    longitude: float
    accuracy_meters: Optional[float] = None   # GPS accuracy
    altitude_meters: Optional[float] = None
    speed_kmh: Optional[float] = None         # Instantaneous speed
    bearing_degrees: Optional[float] = None   # Direction of travel 0-360
    battery_level: Optional[int] = None       # 0-100
    battery_charging: Optional[bool] = None
    is_online: bool = True
    last_seen_at: datetime = Field(default_factory=datetime.utcnow)
    app_version: Optional[str] = None
    device_id: Optional[str] = None


class LocationHistoryModel(BaseModel):
    """
    workforce_location_history collection.
    Append-only. One doc per ping. TTL index on recorded_at (90 days).
    """
    profile_id: str
    merchant_id: str
    location: GeoPoint
    latitude: float
    longitude: float
    accuracy_meters: Optional[float] = None
    altitude_meters: Optional[float] = None
    speed_kmh: Optional[float] = None
    bearing_degrees: Optional[float] = None
    battery_level: Optional[int] = None
    battery_charging: Optional[bool] = None
    recorded_at: datetime = Field(default_factory=datetime.utcnow)
    device_id: Optional[str] = None