# coding: utf-8

"""
    Sonarr

    Sonarr API docs - The v3 API docs apply to both v3 and v4 versions of Sonarr. Some functionality may only be available in v4 of the Sonarr application.

    The version of the OpenAPI document: v4.0.1.929
    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 datetime import datetime
from pydantic import BaseModel, Field, StrictInt, StrictStr
from typing import Any, ClassVar, Dict, Optional
from typing import Optional, Set
from typing_extensions import Self

class LogResource(BaseModel):
    """
    LogResource
    """ # noqa: E501
    id: Optional[StrictInt] = None
    time: Optional[datetime] = None
    exception: Optional[StrictStr] = None
    exception_type: Optional[StrictStr] = Field(default=None, alias="exceptionType")
    level: Optional[StrictStr] = None
    logger: Optional[StrictStr] = None
    message: Optional[StrictStr] = None
    method: Optional[StrictStr] = None
    __properties: ClassVar[List[str]] = ["id", "time", "exception", "exceptionType", "level", "logger", "message", "method"]

    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) -> Optional[Self]:
        """Create an instance of LogResource 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,
        )
        # set to None if exception (nullable) is None
        # and model_fields_set contains the field
        if self.exception is None and "exception" in self.model_fields_set:
            _dict['exception'] = None

        # set to None if exception_type (nullable) is None
        # and model_fields_set contains the field
        if self.exception_type is None and "exception_type" in self.model_fields_set:
            _dict['exceptionType'] = None

        # set to None if level (nullable) is None
        # and model_fields_set contains the field
        if self.level is None and "level" in self.model_fields_set:
            _dict['level'] = None

        # set to None if logger (nullable) is None
        # and model_fields_set contains the field
        if self.logger is None and "logger" in self.model_fields_set:
            _dict['logger'] = None

        # set to None if message (nullable) is None
        # and model_fields_set contains the field
        if self.message is None and "message" in self.model_fields_set:
            _dict['message'] = None

        # set to None if method (nullable) is None
        # and model_fields_set contains the field
        if self.method is None and "method" in self.model_fields_set:
            _dict['method'] = None

        return _dict

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

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

        _obj = cls.model_validate({
            "id": obj.get("id"),
            "time": obj.get("time"),
            "exception": obj.get("exception"),
            "exceptionType": obj.get("exceptionType"),
            "level": obj.get("level"),
            "logger": obj.get("logger"),
            "message": obj.get("message"),
            "method": obj.get("method")
        })
        return _obj


