from __future__ import annotations

"""路线评估结果模型：RouteLeg路线段与RouteEvaluationResult酒店位置评估。"""

from typing import Any, Literal

from pydantic import Field

from app.schemas.common import AppModel


RouteDataSource = Literal[
    "amap",
    "haversine_fallback",
]


class RouteLeg(AppModel):
    """酒店与一个景点之间的距离结果。"""

    origin_name: str
    origin_location: str

    destination_name: str
    destination_location: str

    distance_meters: float = Field(ge=0)

    duration_seconds: float | None = Field(
        default=None,
        ge=0,
    )

    source: RouteDataSource = "amap"


class HotelRouteEvaluation(AppModel):
    """综合酒店自身质量和真实位置后的评分结果。"""

    hotel_id: str
    hotel_name: str

    final_score: float = Field(
        ge=0,
        le=100,
    )

    base_hotel_score: float = Field(
        ge=0,
        le=100,
    )

    centrality_score: float = Field(
        ge=0,
        le=100,
    )

    subway_score: float = Field(
        ge=0,
        le=100,
    )

    average_distance_meters: float | None = None
    maximum_distance_meters: float | None = None

    average_duration_seconds: float | None = None

    nearest_subway_distance_meters: (
        float | None
    ) = None

    route_legs: list[RouteLeg] = Field(
        default_factory=list
    )

    reasons: list[str] = Field(
        default_factory=list
    )

    warnings: list[str] = Field(
        default_factory=list
    )

    hotel: dict[str, Any]


class RouteEvaluationResult(AppModel):
    """路线评估阶段的最终结果。"""

    evaluated_hotels: list[
        HotelRouteEvaluation
    ] = Field(
        default_factory=list
    )

    reference_attractions: list[str] = Field(
        default_factory=list
    )

    selected_hotel_id: str | None = None

    distance_call_count: int = 0
    around_search_call_count: int = 0

    warnings: list[str] = Field(
        default_factory=list
    )