# coding: utf-8

"""
    Endpoint Agents API

    Manage ThousandEyes Endpoint Agents using this API.   For more information about Endpoint Agents, see [Endpoint Agents](https://docs.thousandeyes.com/product-documentation/global-vantage-points/endpoint-agents).

    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, StrictFloat, StrictInt, StrictStr
from typing import Any, ClassVar, Dict, List, Optional, Union
from typing import Optional, Set
from typing_extensions import Self

class CellularProfile(BaseModel):
    """
    Cellular network profile information for a mobile endpoint agent.
    """ # noqa: E501
    carrier_name: Optional[StrictStr] = Field(default=None, description="Carrier name", alias="carrierName")
    network_gen: Optional[StrictStr] = Field(default=None, description="Cellular network generation.", alias="networkGen")
    network_subtype: Optional[StrictStr] = Field(default=None, description="A real network subtype. It may be different from an advertised network type.", alias="networkSubtype")
    advertised_network_gen: Optional[StrictStr] = Field(default=None, description="Cellular network generation.", alias="advertisedNetworkGen")
    advertised_network_subtype: Optional[StrictStr] = Field(default=None, description="Advertised Network subtype", alias="advertisedNetworkSubtype")
    rssi: Optional[Union[StrictFloat, StrictInt]] = Field(default=None, description="Received Signal Strength Indicator in dBm. Values are always negative.")
    rsrp: Optional[Union[StrictFloat, StrictInt]] = Field(default=None, description="Reference Signal Received Power in dBm. Values are always negative.")
    rscp: Optional[Union[StrictFloat, StrictInt]] = Field(default=None, description="Received Signal Code Power in dBm. Values are always negative or zero.")
    rsrq: Optional[Union[StrictFloat, StrictInt]] = Field(default=None, description="Reference Signal Received Quality in dBm. Values are always negative.")
    sinr: Optional[Union[StrictFloat, StrictInt]] = Field(default=None, description="Signal to Interference and Noise Ratio in dBm. It can be negative or positive.")
    __properties: ClassVar[List[str]] = ["carrierName", "networkGen", "networkSubtype", "advertisedNetworkGen", "advertisedNetworkSubtype", "rssi", "rsrp", "rscp", "rsrq", "sinr"]

    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 CellularProfile 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,
        )
        return _dict

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

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

        _obj = cls.model_validate({
            "carrierName": obj.get("carrierName"),
            "networkGen": obj.get("networkGen"),
            "networkSubtype": obj.get("networkSubtype"),
            "advertisedNetworkGen": obj.get("advertisedNetworkGen"),
            "advertisedNetworkSubtype": obj.get("advertisedNetworkSubtype"),
            "rssi": obj.get("rssi"),
            "rsrp": obj.get("rsrp"),
            "rscp": obj.get("rscp"),
            "rsrq": obj.get("rsrq"),
            "sinr": obj.get("sinr")
        })
        return _obj