# coding: utf-8

"""
    MTR testing API

    API for managing MTR tests and additional nodes. It is part of spirent-service.

    The version of the OpenAPI document: 1.0.0
    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 pydantic import BaseModel, ConfigDict, StrictFloat, StrictInt, StrictStr
from typing import Any, ClassVar, Dict, List, Optional, Union
try:
    from typing import Self
except ImportError:
    from typing_extensions import Self

class TestResult(BaseModel):
    """
    TestResult
    """ # noqa: E501
    #from_tas: StrictStr
    to_server: StrictStr
    test_parameters_id: Optional[StrictInt] = None
    to_server_hostname: Optional[StrictStr] = None
    ttl: Optional[StrictInt] = None
    host: Optional[List[StrictStr]] = None
    loos: Optional[StrictInt] = None
    sent: Optional[StrictInt] = None
    average_time: Optional[Union[StrictFloat, StrictInt]] = None
    best_time: Optional[Union[StrictFloat, StrictInt]] = None
    worst_time: Optional[Union[StrictFloat, StrictInt]] = None
    standard_deviation: Optional[Union[StrictFloat, StrictInt]] = None
    worst_jitter: Optional[Union[StrictFloat, StrictInt]] = None
    __properties: ClassVar[List[str]] = ["from_tas", "to_server", "test_parameters_id", "to_server_hostname", "ttl", "host", "loos", "sent", "average_time", "best_time", "worst_time", "standard_deviation", "worst_jitter"]

    model_config = {
        "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) -> Self:
        """Create an instance of TestResult 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 TestResult from a dict"""
        if obj is None:
            return None

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

        _obj = cls.model_validate({
            "from_tas": obj.get("from_tas"),
            "to_server": obj.get("to_server"),
            "test_parameters_id": obj.get("test_parameters_id"),
            "to_server_hostname": obj.get("to_server_hostname"),
            "ttl": obj.get("ttl"),
            "host": obj.get("host"),
            "loos": obj.get("loos"),
            "sent": obj.get("sent"),
            "average_time": obj.get("average_time"),
            "best_time": obj.get("best_time"),
            "worst_time": obj.get("worst_time"),
            "standard_deviation": obj.get("standard_deviation"),
            "worst_jitter": obj.get("worst_jitter")
        })
        return _obj