# coding: utf-8

"""
    bxb API

    A comprehensive usage-based billing platform API. Manage customers, plans, subscriptions, invoices, payments, wallets, coupons, credit notes, taxes, webhooks, and more.

    The version of the OpenAPI document: 0.3.1
    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 datetime import datetime
from pydantic import BaseModel, ConfigDict, Field, StrictInt, field_validator
from typing import Any, ClassVar, Dict, List, Optional
from typing_extensions import Annotated
from uuid import UUID
from typing import Optional, Set
from typing_extensions import Self

class DepletionForecastResponse(BaseModel):
    """
    DepletionForecastResponse
    """ # noqa: E501
    wallet_id: UUID
    current_balance_cents: Annotated[str, Field(strict=True)]
    avg_daily_consumption: Annotated[str, Field(strict=True)]
    projected_depletion_date: Optional[datetime] = None
    days_remaining: Optional[StrictInt] = None
    __properties: ClassVar[List[str]] = ["wallet_id", "current_balance_cents", "avg_daily_consumption", "projected_depletion_date", "days_remaining"]

    @field_validator('current_balance_cents')
    def current_balance_cents_validate_regular_expression(cls, value):
        """Validates the regular expression"""
        if not re.match(r"^(?!^[-+.]*$)[+-]?0*\d*\.?\d*$", value):
            raise ValueError(r"must validate the regular expression /^(?!^[-+.]*$)[+-]?0*\d*\.?\d*$/")
        return value

    @field_validator('avg_daily_consumption')
    def avg_daily_consumption_validate_regular_expression(cls, value):
        """Validates the regular expression"""
        if not re.match(r"^(?!^[-+.]*$)[+-]?0*\d*\.?\d*$", value):
            raise ValueError(r"must validate the regular expression /^(?!^[-+.]*$)[+-]?0*\d*\.?\d*$/")
        return value

    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 DepletionForecastResponse 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,
        )
        # set to None if projected_depletion_date (nullable) is None
        # and model_fields_set contains the field
        if self.projected_depletion_date is None and "projected_depletion_date" in self.model_fields_set:
            _dict['projected_depletion_date'] = None

        # set to None if days_remaining (nullable) is None
        # and model_fields_set contains the field
        if self.days_remaining is None and "days_remaining" in self.model_fields_set:
            _dict['days_remaining'] = None

        return _dict

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

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

        _obj = cls.model_validate({
            "wallet_id": obj.get("wallet_id"),
            "current_balance_cents": obj.get("current_balance_cents"),
            "avg_daily_consumption": obj.get("avg_daily_consumption"),
            "projected_depletion_date": obj.get("projected_depletion_date"),
            "days_remaining": obj.get("days_remaining")
        })
        return _obj


