# coding: utf-8

"""
    RentCast API

    No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator)

    The version of the OpenAPI document: 1.0
    Generated by OpenAPI Generator (https://openapi-generator.tech)

    Do not edit the class manually.
"""  # noqa: E501


from __future__ import annotations
import pprint
import re  # noqa: F401
import json

from pydantic import BaseModel, ConfigDict, Field, StrictInt, StrictStr
from typing import Any, ClassVar, Dict, List, Optional
from rentcast_client.models.market_statistics200_response_rental_data_data_by_bedrooms_inner import MarketStatistics200ResponseRentalDataDataByBedroomsInner
from rentcast_client.models.market_statistics200_response_rental_data_history import MarketStatistics200ResponseRentalDataHistory
from typing import Optional, Set
from typing_extensions import Self

class MarketStatistics200ResponseRentalData(BaseModel):
    """
    MarketStatistics200ResponseRentalData
    """ # noqa: E501
    average_rent: Optional[StrictInt] = Field(default=0, alias="averageRent")
    min_rent: Optional[StrictInt] = Field(default=0, alias="minRent")
    max_rent: Optional[StrictInt] = Field(default=0, alias="maxRent")
    total_listings: Optional[StrictInt] = Field(default=0, alias="totalListings")
    last_updated_date: Optional[StrictStr] = Field(default=None, alias="lastUpdatedDate")
    data_by_bedrooms: Optional[List[MarketStatistics200ResponseRentalDataDataByBedroomsInner]] = Field(default=None, alias="dataByBedrooms")
    history: Optional[MarketStatistics200ResponseRentalDataHistory] = None
    __properties: ClassVar[List[str]] = ["averageRent", "minRent", "maxRent", "totalListings", "lastUpdatedDate", "dataByBedrooms", "history"]

    model_config = ConfigDict(
        populate_by_name=True,
        validate_assignment=True,
        protected_namespaces=(),
    )


    def to_str(self) -> str:
        """Returns the string representation of the model using alias"""
        return pprint.pformat(self.model_dump(by_alias=True))

    def to_json(self) -> str:
        """Returns the JSON representation of the model using alias"""
        # TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead
        return json.dumps(self.to_dict())

    @classmethod
    def from_json(cls, json_str: str) -> Optional[Self]:
        """Create an instance of MarketStatistics200ResponseRentalData from a JSON string"""
        return cls.from_dict(json.loads(json_str))

    def to_dict(self) -> Dict[str, Any]:
        """Return the dictionary representation of the model using alias.

        This has the following differences from calling pydantic's
        `self.model_dump(by_alias=True)`:

        * `None` is only added to the output dict for nullable fields that
          were set at model initialization. Other fields with value `None`
          are ignored.
        """
        excluded_fields: Set[str] = set([
        ])

        _dict = self.model_dump(
            by_alias=True,
            exclude=excluded_fields,
            exclude_none=True,
        )
        # override the default output from pydantic by calling `to_dict()` of each item in data_by_bedrooms (list)
        _items = []
        if self.data_by_bedrooms:
            for _item_data_by_bedrooms in self.data_by_bedrooms:
                if _item_data_by_bedrooms:
                    _items.append(_item_data_by_bedrooms.to_dict())
            _dict['dataByBedrooms'] = _items
        # override the default output from pydantic by calling `to_dict()` of history
        if self.history:
            _dict['history'] = self.history.to_dict()
        return _dict

    @classmethod
    def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
        """Create an instance of MarketStatistics200ResponseRentalData from a dict"""
        if obj is None:
            return None

        if not isinstance(obj, dict):
            return cls.model_validate(obj)

        _obj = cls.model_validate({
            "averageRent": obj.get("averageRent") if obj.get("averageRent") is not None else 0,
            "minRent": obj.get("minRent") if obj.get("minRent") is not None else 0,
            "maxRent": obj.get("maxRent") if obj.get("maxRent") is not None else 0,
            "totalListings": obj.get("totalListings") if obj.get("totalListings") is not None else 0,
            "lastUpdatedDate": obj.get("lastUpdatedDate"),
            "dataByBedrooms": [MarketStatistics200ResponseRentalDataDataByBedroomsInner.from_dict(_item) for _item in obj["dataByBedrooms"]] if obj.get("dataByBedrooms") is not None else None,
            "history": MarketStatistics200ResponseRentalDataHistory.from_dict(obj["history"]) if obj.get("history") is not None else None
        })
        return _obj


