# coding: utf-8

"""
    API logistics_v1 1.0.0

    No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator)

    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, Field, StrictBool, StrictFloat, StrictInt
from typing import Any, ClassVar, Dict, List, Union
from typing import Optional, Set
from typing_extensions import Self
from pydantic_core import to_jsonable_python

class Measurement(BaseModel):
    """
    Measurement
    """ # noqa: E501
    accuracy: StrictInt
    battery: StrictInt
    button_triggered: StrictInt
    gnss_error: StrictBool
    gnss_fix: StrictBool
    gw_latitude: Union[StrictFloat, StrictInt]
    gw_longitude: Union[StrictFloat, StrictInt]
    latitude: Union[StrictFloat, StrictInt]
    longitude: Union[StrictFloat, StrictInt]
    moving_mode: StrictInt
    temperature: StrictInt
    timestamp: StrictInt = Field(description="Unix timestamp in milliseconds")
    __properties: ClassVar[List[str]] = ["accuracy", "battery", "button_triggered", "gnss_error", "gnss_fix", "gw_latitude", "gw_longitude", "latitude", "longitude", "moving_mode", "temperature", "timestamp"]

    model_config = ConfigDict(
        validate_by_name=True,
        validate_by_alias=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"""
        return json.dumps(to_jsonable_python(self.to_dict()))

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

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

        _obj = cls.model_validate({
            "accuracy": obj.get("accuracy"),
            "battery": obj.get("battery"),
            "button_triggered": obj.get("button_triggered"),
            "gnss_error": obj.get("gnss_error"),
            "gnss_fix": obj.get("gnss_fix"),
            "gw_latitude": obj.get("gw_latitude"),
            "gw_longitude": obj.get("gw_longitude"),
            "latitude": obj.get("latitude"),
            "longitude": obj.get("longitude"),
            "moving_mode": obj.get("moving_mode"),
            "temperature": obj.get("temperature"),
            "timestamp": obj.get("timestamp")
        })
        return _obj


