# coding: utf-8

"""
    Usage API

    ## Overview These usage endpoints define the following operations: * **Usage**: Retrieve usage data for the specified time period (default is one month).          * Users must have the `View Billing` permission to access this endpoint.     * This endpoint offers visibility across all account groups within the organization.     * Users with `View Billing` permission in multiple organizations should query the endpoint with the `aid` query string parameter (see optional parameters) for each organization.  * **Quotas**: Obtain organization and account usage quotas. Additionally, users with the appropriate permissions can create, update, or delete these quotas.          * Users must have the necessary permissions to perform quota-related actions.  Refer to the API definitions below for detailed usage instructions and optional parameters.

    The version of the OpenAPI document: 7.0.0
    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 typing import Any, ClassVar, Dict, List, Optional
from pydantic import BaseModel, StrictStr
from pydantic import Field
try:
    from typing import Self
except ImportError:
    from typing_extensions import Self

class OrganizationsQuotasUnassignOrganizationsInner(BaseModel):
    """
    OrganizationsQuotasUnassignOrganizationsInner
    """ # noqa: E501
    org_id: Optional[StrictStr] = Field(default=None, description="Unique identifier of the organization.", alias="orgId")
    account_groups: Optional[List[StrictStr]] = Field(default=None, description="List of account group IDs.", alias="accountGroups")
    __properties: ClassVar[List[str]] = ["orgId", "accountGroups"]

    model_config = {
        "populate_by_name": True,
        "validate_assignment": True
    }


    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) -> Self:
        """Create an instance of OrganizationsQuotasUnassignOrganizationsInner 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.
        """
        _dict = self.model_dump(
            by_alias=True,
            exclude={
            },
            exclude_none=True,
        )
        return _dict

    @classmethod
    def from_dict(cls, obj: Dict) -> Self:
        """Create an instance of OrganizationsQuotasUnassignOrganizationsInner from a dict"""
        if obj is None:
            return None

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

        _obj = cls.model_validate({
            "orgId": obj.get("orgId"),
            "accountGroups": obj.get("accountGroups")
        })
        return _obj


