# coding: utf-8

"""
    Tickcatcher API

    The Tickcatcher API provides access to cryptocurrency market data including candlesticks, symbols, and indicators. All requests require authentication using your RapidAPI key or TickCatcher Direct Key. 

    The version of the OpenAPI document: 1.1.7
    Contact: yagiz@iskirik.com
    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
from typing import Any, ClassVar, Dict, List, Optional
from tickcatcher.models.bbands_request_params import BbandsRequestParams
from tickcatcher.models.candle import Candle
from typing import Optional, Set
from typing_extensions import Self

class BbandsRequest(BaseModel):
    """
    BbandsRequest
    """ # noqa: E501
    data: List[Candle]
    params: Optional[BbandsRequestParams] = None
    __properties: ClassVar[List[str]] = ["data", "params"]

    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 BbandsRequest 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 (list)
        _items = []
        if self.data:
            for _item_data in self.data:
                if _item_data:
                    _items.append(_item_data.to_dict())
            _dict['data'] = _items
        # override the default output from pydantic by calling `to_dict()` of params
        if self.params:
            _dict['params'] = self.params.to_dict()
        return _dict

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

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

        _obj = cls.model_validate({
            "data": [Candle.from_dict(_item) for _item in obj["data"]] if obj.get("data") is not None else None,
            "params": BbandsRequestParams.from_dict(obj["params"]) if obj.get("params") is not None else None
        })
        return _obj


