# coding: utf-8

"""
    Administrative API

    Manage users, accounts, and account groups in the ThousandEyes platform using the Administrative API. This API provides the following operations to manage your organization:     * `/account-groups`: Account groups are used to divide an organization into different sections. These operations can be used to create, retrieve, update and delete account groups.   * `/users`: Create, retrieve, update and delete users within an organization.    * `/roles`: Create, retrieve and update roles for the current user.    * `/permissions`: Retrieve all assignable permissions. Used in the context of modifying roles.    * `/audit-user-events`: Retrieve all activity log events.    For more information about the administrative models, see [Account Management](https://docs.thousandeyes.com/product-documentation/user-management).

    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 thousandeyes_sdk.administrative.models.network_provider_type import NetworkProviderType
from typing import Optional, Set
from typing_extensions import Self

class NetworkProviderInfo(BaseModel):
    """
    Information about the network provider that owns the agent's public IP prefix.
    """ # noqa: E501
    asn: Optional[StrictInt] = Field(default=None, description="Autonomous System Number (ASN) announcing the agent's public IP prefix.")
    name: Optional[StrictStr] = Field(default=None, description="Name of the network provider organization.")
    type: Optional[NetworkProviderType] = None
    __properties: ClassVar[List[str]] = ["asn", "name", "type"]

    model_config = ConfigDict(
        populate_by_name=True,
        validate_assignment=True,
        protected_namespaces=(),
        extra="allow",
    )


    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 self.model_dump_json(by_alias=True, exclude_unset=True, exclude_none=True)

    @classmethod
    def from_json(cls, json_str: str) -> Optional[Self]:
        """Create an instance of NetworkProviderInfo 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.
        * OpenAPI `readOnly` fields are excluded.
        * OpenAPI `readOnly` fields are excluded.
        """
        excluded_fields: Set[str] = set([
            "asn",
            "name",
        ])

        _dict = self.model_dump(
            by_alias=True,
            exclude=excluded_fields,
            exclude_none=True,
        )
        return _dict

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

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

        _obj = cls.model_validate({
            "asn": obj.get("asn"),
            "name": obj.get("name"),
            "type": obj.get("type")
        })
        return _obj


