from __future__ import annotations
from dataclasses import asdict, dataclass
import dataclasses
from datetime import datetime, timedelta
import enum
import json
from typing import Any, Dict, List
from pydantic import BaseModel, Field as PydanticField, model_validator
from rec import routing
from sqlmodel import JSON, TEXT, SQLModel, Field


@dataclass(frozen=True)
class PriceHistoryItem:
    first_seen: datetime
    last_seen: datetime
    price: float

    def to_dict(self) -> Dict[str, float | str]:
        return {
            "first_seen": self.first_seen.isoformat(),
            "last_seen": self.last_seen.isoformat(),
            "price": self.price,
        }


@dataclass(frozen=True)
class Route:
    legs: list[RouteLegStep]
    distance_meters: int
    duration_s: int

    @property
    def duration(self) -> timedelta:
        return timedelta(seconds=self.duration_s)


@dataclass(frozen=True)
class RouteLegStep:
    distance_meters: int
    duration_s: int
    travel_mode: routing.TravelMode

    @property
    def duration(self) -> timedelta:
        return timedelta(seconds=self.duration_s)


class ListingSite(enum.StrEnum):
    RIGHTMOVE = "rightmove"
    # ZOOPLA = "zoopla"
    # ... add more


def _parse_price_history(price_history_json: str) -> list[PriceHistoryItem]:
    """Parse a JSON string into a list of PriceHistoryItem objects."""
    if not price_history_json:
        return []
    parsed: list = json.loads(str(price_history_json))
    return [
        PriceHistoryItem(
            first_seen=datetime.fromisoformat(item["first_seen"]),
            last_seen=datetime.fromisoformat(item["last_seen"]),
            price=item["price"],
        )
        for item in parsed
    ]


class Listing(SQLModel, table=False):
    id: int = Field(primary_key=True)
    price: float = Field(nullable=False, index=True)
    number_of_bedrooms: int = Field(nullable=False, index=True)
    square_meters: float | None = Field(default=None, nullable=True, index=True)
    agency: str | None = Field(default=None, nullable=True)
    council_tax_band: str | None = Field(default=None, nullable=True)
    longitude: float = Field(nullable=False)
    latitude: float = Field(nullable=False)
    price_history_json: str = Field(sa_type=TEXT)
    listing_site: ListingSite = Field(nullable=False)
    last_seen: datetime = Field(
        default_factory=datetime.now, nullable=False, index=True
    )
    photo_thumbnail: str | None = Field(default=None, nullable=True)
    floorplan_image_paths: List[str] = Field(
        default_factory=list, sa_type=JSON, nullable=False
    )
    additional_info: Dict[str, Any] = Field(
        default_factory=dict, sa_type=JSON, nullable=False
    )
    routing_info_json: str = Field(
        sa_type=TEXT, nullable=True, default=None
    )  # Store as JSON string for simplicity

    @property
    def is_removed(self) -> bool:
        if not self.additional_info:
            return False
        property_info = self.additional_info.get("property", {})
        return not property_info.get("visible", True)

    @property
    def price_per_square_meter(self) -> float | None:
        """
        Returns the price per square meter.
        """
        if self.square_meters is None or self.square_meters == 0:
            return None
        return round(self.price / self.square_meters, 2)

    @property
    def url(self):
        return f"https://www.rightmove.co.uk/properties/{self.id}"

    @property
    def price_history(self) -> List[PriceHistoryItem]:
        """
        Returns a list of PriceHistoryItem objects from the price_history_json.
        """
        return _parse_price_history(self.price_history_json)

    @staticmethod
    def serialize_price_history(price_history: List[PriceHistoryItem]) -> str:
        """
        Serializes the price history to a JSON string.
        """
        serialized = json.dumps(
            [
                {
                    "first_seen": item.first_seen.isoformat(),
                    "last_seen": item.last_seen.isoformat(),
                    "price": item.price,
                }
                for item in price_history
            ]
        )
        return serialized

    @property
    def routing_info(self) -> dict[DestinationMode, List[Route]]:
        """
        Returns a list of DestinationMode objects from the routing_info_str.
        """
        if not self.routing_info_json:
            return {}
        from rec.route_serializer import RouteSerializer
        return RouteSerializer.deserialize(self.routing_info_json)

    def serialize_routing_info(
        self, routing_info: dict[DestinationMode, list[Route]]
    ) -> str:
        """
        Serializes the routing_info to a JSON string.
        """
        from rec.route_serializer import RouteSerializer
        return RouteSerializer.serialize(routing_info)


class FurnishType(enum.StrEnum):
    FURNISHED = "furnished"
    UNFURNISHED = "unfurnished"
    PART_FURNISHED = "part furnished"
    ASK_LANDLORD = "ask landlord"
    UNKNOWN = "unknown"


class RentListing(Listing, table=True):
    available_from: datetime | None = Field(default=None, nullable=True)
    furnish_type: FurnishType | None = Field(nullable=False)


class BuyListing(Listing, table=True):
    service_charge: float | None = Field(default=None, nullable=True)
    lease_left: int | None = Field(
        default=None, nullable=True
    )  # in years, e.g., 90, 80, etc.


@dataclass(frozen=True)
class DestinationMode:
    destination_address: str
    travel_mode: routing.TravelMode

    def __hash__(self) -> int:
        return hash((self.destination_address, self.travel_mode))

    def __getstate__(self):
        # This allows serializers to pick up a dict representation
        return asdict(self)

    def to_dict(self) -> dict[str, Any]:
        """Return a dictionary representation of this DestinationMode."""
        return asdict(self)


class ListingType(enum.StrEnum):
    BUY = "BUY"
    RENT = "RENT"


class QueryParameters(BaseModel):
    """Query parameters for filtering listings."""
    model_config = {"frozen": True}

    listing_type: ListingType
    min_bedrooms: int = 1
    max_bedrooms: int = 999
    min_price: int = 0
    max_price: int = 10_000_000
    district_names: set[str] = PydanticField(default_factory=set)
    radius: float = 0
    page_size: int = 500  # items per page
    max_days_since_added: int = 14  # for buy listings
    furnish_types: list[FurnishType] | None = None
    # The values below are not supported by rightmove
    # hence we apply them after fetching
    # available from; council tax
    let_date_available_from: datetime | None = None
    last_seen_days: int | None = None
    min_sqm: int | None = None

    @model_validator(mode="after")
    def _validate_ranges(self) -> QueryParameters:
        if self.min_price > self.max_price:
            raise ValueError(
                f"min_price ({self.min_price}) must be <= max_price ({self.max_price})"
            )
        if self.min_bedrooms < 0:
            raise ValueError(
                f"min_bedrooms ({self.min_bedrooms}) must be non-negative"
            )
        if self.max_bedrooms < 0:
            raise ValueError(
                f"max_bedrooms ({self.max_bedrooms}) must be non-negative"
            )
        if self.min_bedrooms > self.max_bedrooms:
            raise ValueError(
                f"min_bedrooms ({self.min_bedrooms}) must be <= max_bedrooms ({self.max_bedrooms})"
            )
        return self